diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..99924d19bfdb2441d7236940233a14f81099ba2d --- /dev/null +++ b/README.md @@ -0,0 +1,120 @@ +--- +license: mit +library_name: chrombpnet +tags: + - encode + - chrombpnet + - chromatin-accessibility + - ATAC + - medialis + - hg38 +--- +# ENCODE ChromBPNet Atlas +As part of the ENCODE 4 Project, we trained ChromBPNet models on 1,512 ENCODE DNAse-seq and ATAC-seq across 408 biosamples. Here, we provide all models for open-source use. + +For more information about the models, see: +- Main ENCODE 4 Paper +- [A unified lexicon of predictive DNA sequence motifs from ENCODE transcription factor binding and chromatin accessibility assays](https://doi.org/10.5281/zenodo.17123347) (Deshpande et al., Zenodo 2025) +- [ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants](https://doi.org/10.1101/2024.12.25.630221) (Pampari et al., bioRxiv 2024) + +## ChromBPNet model: ATAC in gastrocnemius medialis (ENCSR823ZCR) +- Model: ChromBPNet +- Assay: ATAC-seq +- Experiment: [ENCSR823ZCR](https://www.encodeproject.org/experiments/ENCSR823ZCR/) +- Model annotation: [ENCSR261SKQ](https://www.encodeproject.org/annotations/ENCSR261SKQ/) +- Biosample: gastrocnemius medialis (Full name: Homo sapiens gastrocnemius medialis tissue female adult (51 years)) +- Cell slim(s): None +- Organ slim(s): limb,musculature-of-body +- Developmental slim(s): mesoderm +- System slim(s): musculature +- Assembly: hg38 + +## Directory structure +- `fold_0`: Model of 5-fold cross-validation: Fold 0 + - `model.chrombpnet.fold_0.encid.h5`: full chrombpnet model that combines both bias and corrected model in .h5 format + - `model.chrombpnet_nobias.fold_0.encid.h5`: bias-corrected accessibility model in .h5 format (Use for all biological discovery) + - `model.bias_scaled.fold_0.encid.h5`: bias model in .h5 format + - `model.chrombpnet.fold_0.encid.tar`: full chrombpnet model that combines both bias and corrected model in SavedModel format. After being untarred, it results in a directory named "chrombpnet". + - `model.chrombpnet_nobias.fold_0.encid.tar`: bias-corrected accessibility model in SavedModel format (Use for all biological discovery). After being untarred, it results in a directory named "chrombpnet_wo_bias". + - `model.bias_scaled.fold_0.encid.tar`: bias model in SavedModel format. After being untarred, it results in a directory named "bias_model_scaled". + - `logs.models.fold_0.encid`: folder containing log files for training models +- `fold_1`: Model of 5-fold coss-validation: Fold 1 +- `fold_2`: Model of 5-fold cross-validation: Fold 2 +- `fold_3`: Model of 5-fold cross-validation: Fold 3 +- `fold_4`: Model of 5-fold cross-validation: Fold 4 + +# Instructions +## 1. Pseudocode for loading models in .h5 format + +(1) Use the code in python after appropriately defining `model_in_h5_format` and `inputs`. \ +(2) `inputs` is a one hot encoded sequence of shape (N,2114,4). Here N corresponds to the +number of tested sequences, 2114 is the input sequence length and 4 corresponds to [A,C,G,T]. + +```python +import tensorflow as tf +from tensorflow.keras.utils import get_custom_objects +from tensorflow.keras.models import load_model + +custom_objects={"tf": tf} +get_custom_objects().update(custom_objects) + +model=load_model(model_in_h5_format,compile=False) +outputs = model(inputs) +``` + +The list `outputs` consists of two elements. The first element has a shape of (N, 1000) and +contains logit predictions for a 1000-base-pair output. The second element, with a shape of +(N, 1), contains logcount predictions. To transform these predictions into per-base signals, +follow the provided pseudo code lines below. + +```python +import numpy as np + +def softmax(x, temp=1): + norm_x = x - np.mean(x,axis=1, keepdims=True) + return np.exp(temp*norm_x)/np.sum(np.exp(temp*norm_x), axis=1, keepdims=True) + +predictions = softmax(outputs[0]) * (np.exp(outputs[1])-1) +``` + +## 2. Pseudocode for loading models in .tar format + +(1) First untar the directory as follows `tar -xvf model.tar`. \ +(2) Use the code below in python after appropriately defining `model_dir_untared` and `inputs`. \ +(3) `inputs` is a one hot encoded sequence of shape (N,2114,4). Here N corresponds to the number +of tested sequences, 2114 is the input sequence length and 4 corresponds to ACGT. + +Reference: https://www.tensorflow.org/api_docs/python/tf/saved_model/load + +```python +import tensorflow as tf + +model = tf.saved_model.load('model_dir_untared') +outputs = model.signatures['serving_default'](**{'sequence':inputs.astype('float32')}) +``` + +The variable `outputs` represents a dictionary containing two key-value pairs. The first key +is `logits_profile_predictions`, holding a value with a shape of (N, 1000). This value corresponds +to logit predictions for a 1000-base-pair output. The second key, named `logcount_predictions``, +is associated with a value of shape (N, 1), representing logcount predictions. To transform these +predictions into per-base signals, utilize the provided pseudo code lines mentioned below. + +```python +import numpy as np +def softmax(x, temp=1): + norm_x = x - np.mean(x,axis=1, keepdims=True) + return np.exp(temp*norm_x)/np.sum(np.exp(temp*norm_x), axis=1, keepdims=True) + +predictions = softmax(outputs["logits_profile_predictions"]) * (np.exp(outputs["logcount_predictions"])-1) +``` + +## Docker image to load and use the models +- https://hub.docker.com/r/kundajelab/chrombpnet-atlas/ (tag:v1) + +## Code for ChromBPNet +- https://github.com/kundajelab/chrombpnet/ + +# License & citation +External data users may freely download, analyze and publish results based on any ENCODE data without restrictions. + +Released under the [ENCODE data-use policy](https://www.encodeproject.org/about/data-use-policy/). Please cite the ENCODE Project Consortium and the model software: [ChromBPNet](https://github.com/kundajelab/chrombpnet) (Pampari et al., bioRxiv 2024). \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.args.json b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.args.json new file mode 100644 index 0000000000000000000000000000000000000000..f1eae49f5010ea62690165b77433188f0a2aefad --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.batch_loss.tsv b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..76134dd7a2a4f35a39257bce65766890c3a65c3c --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.batch_loss.tsv @@ -0,0 +1,11892 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 1.9098842144012451 314.1456604003906 293.90087890625 None None None +0 1 313.8265380859375 3618.45263671875 291.8912353515625 None None None +0 2 209.71617126464844 2503.810302734375 280.8188781738281 None None None +0 3 157.6773223876953 1949.2528076171875 277.8730773925781 None None None +0 4 126.53843688964844 1625.036376953125 283.728759765625 None None None +0 5 105.72052001953125 1400.91650390625 280.2788391113281 None None None +0 6 90.86573028564453 1243.455322265625 280.2784729003906 None None None +0 7 79.72824096679688 1125.46923828125 280.3497314453125 None None None +0 8 71.10369110107422 1036.5509033203125 282.8516845703125 None None None +0 9 64.18041229248047 962.8538818359375 282.5413818359375 None None None +0 10 58.55500793457031 906.1634521484375 285.4801940917969 None None None +0 11 53.833858489990234 856.5438842773438 285.9048156738281 None None None +0 12 49.835731506347656 813.9555053710938 285.6966552734375 None None None +0 13 46.411869049072266 778.2837524414062 286.31787109375 None None None +0 14 43.463157653808594 748.6764526367188 287.96685791015625 None None None +0 15 40.845394134521484 718.885986328125 285.92474365234375 None None None +0 16 38.54205322265625 692.711669921875 284.1658630371094 None None None +0 17 36.50749588012695 671.0279541015625 284.0484619140625 None None None +0 18 34.67451095581055 651.4588623046875 283.90899658203125 None 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258.70172119140625 None None None +10 1061 0.25807929039001465 261.431640625 258.6961364746094 None None None +10 1062 0.25800833106040955 261.42974853515625 258.6949768066406 None None None +10 1063 0.25802019238471985 261.4417419433594 258.70684814453125 None None None +10 1064 0.2580503821372986 261.4425964355469 258.7073669433594 None None None +10 1065 0.25799718499183655 261.40911865234375 258.6744689941406 None None None +10 1066 0.258038192987442 261.4040832519531 258.6689758300781 None None None +10 1067 0.25798559188842773 261.4264831542969 258.6919250488281 None None None +10 1068 0.2579936385154724 261.4254455566406 258.6908264160156 None None None +10 1069 0.25805172324180603 261.4256896972656 258.6904602050781 None None None +10 1070 0.2580180764198303 261.433837890625 258.698974609375 None None None +10 1071 0.25800415873527527 261.430419921875 258.6957092285156 None None None +10 1072 0.2579786777496338 261.45745849609375 258.7230224609375 None None None +10 1073 0.25803789496421814 261.43377685546875 258.6986999511719 None None None +10 1074 0.25801560282707214 261.43310546875 258.6982421875 None None None +10 1075 0.2579606771469116 261.43487548828125 258.7005920410156 None None None +10 1076 0.25796157121658325 261.4242858886719 258.6899719238281 None None None +10 1077 0.257964551448822 261.4368591308594 258.7025451660156 None None None +10 1078 0.2579043507575989 261.43145751953125 258.69775390625 None None None +10 1079 0.2579127848148346 261.4398498535156 258.7060546875 None None None +10 1080 0.25794050097465515 261.4503479003906 258.7162780761719 None None None diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.bias_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..1084e46b6319f522f841e298569bf3ca592e34e0 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 14:15:55.624696: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.676902: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.683229: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 14:15:58.715622: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.715724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.749173: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.749336: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.764624: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.772808: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.798634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.804865: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.806121: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.819285: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.819704: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 14:15:58.820642: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.822268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.822307: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.822346: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.822374: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.822398: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.822419: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.822441: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.822462: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.822484: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.827587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.828976: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:16:00.653755: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 14:16:00.653864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 14:16:00.653884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 14:16:00.656981: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:03:00.0, compute capability: 6.0) +2023-07-14 14:16:01.551243: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.bias_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..3494ffa30b0acee992f2679d82c9fd7f60c089e7 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/new_model_formats/bias_model_scaled diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet.params.json b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..1e28e2dc376fa877573e6f44565347f3210a11a5 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "10.6", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_data_params.tsv b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..f8f821e51076fb756db0b884d7d55535deb3826a --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 12.0 +counts_sum_max_thresh 667.0 +trainings_pts_post_thresh 74974 diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..742487e091ed74fa93106d194fbb93929df76b8c --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 16:31:01.030320: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:03.434600: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:03.438571: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:31:05.100244: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:4b:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:05.100419: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:05.123205: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:05.123252: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:05.132575: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:05.137145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:05.152628: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:05.156834: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:05.157736: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:05.263909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:05.264338: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:31:05.265200: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:05.383507: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:4b:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:05.383571: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:05.383612: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:05.383641: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:05.383667: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:05.383693: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:05.383718: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:05.383766: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:05.383796: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:05.496989: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:05.499453: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:07.278955: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:31:07.279114: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:31:07.279147: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:31:07.288551: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:4b:00.0, compute capability: 8.0) +2023-07-14 16:31:09.653368: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7f7b5b0d481e819c57c61d9b9bddaea939027a2 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/new_model_formats/chrombpnet diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_model_params.tsv b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..9814c4457ad13c940af85ad31e2560558037f64d --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 10.6 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..2287a2517929e63f3c38cede612a2be500eb213b --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/new_model_formats/chrombpnet_wo_bias diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..2287a2517929e63f3c38cede612a2be500eb213b --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15/new_model_formats/chrombpnet_wo_bias diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.epoch_loss.csv b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..831841f8aeb9364738171d61469c17063f0db3bc --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.epoch_loss.csv @@ -0,0 +1,12 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.7917288541793823,277.79510498046875,296.7877197265625,0.4392792582511902,283.1636962890625,287.820068359375 +1,0.4149717390537262,274.34967041015625,278.7481689453125,0.41925516724586487,280.6949768066406,285.13922119140625 +2,0.3772323429584503,271.659423828125,275.6582336425781,0.35239332914352417,279.32855224609375,283.0638732910156 +3,0.3557756245136261,270.78143310546875,274.5526123046875,0.3460944592952728,278.8788146972656,282.5474548339844 +4,0.3463979661464691,269.177978515625,272.8497314453125,0.3720156252384186,278.2719421386719,282.2152099609375 +5,0.337764710187912,268.4237365722656,272.00421142578125,0.32690343260765076,278.3852233886719,281.8504333496094 +6,0.32815805077552795,267.08465576171875,270.5628662109375,0.34713003039360046,278.39007568359375,282.069580078125 +7,0.31282979249954224,265.60479736328125,268.9208679199219,0.3089922368526459,278.7278137207031,282.0030212402344 +8,0.3031749129295349,264.8052062988281,268.01849365234375,0.31549257040023804,279.4835510253906,282.8277282714844 +9,0.26827579736709595,260.75299072265625,263.5969543457031,0.34641411900520325,279.6614685058594,283.3335876464844 +10,0.25794050097465515,258.7162780761719,261.4503479003906,0.3075982928276062,280.8303527832031,284.0908203125 diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stderr.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..e62ffb7aaebe3585207179a41dcb9cd2305dd9a4 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stderr.txt @@ -0,0 +1,328 @@ +2022-03-25 21:41:11.101268: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:46:17.357237: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 21:46:17.360457: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 21:46:17.522943: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 21:46:17.523271: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:46:17.898935: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 21:46:17.899359: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 21:46:17.947504: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 21:46:18.246483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 21:46:18.349614: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 21:46:18.376067: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 21:46:18.382128: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 21:46:18.391246: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 21:46:18.392464: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-03-25 21:46:18.392701: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 21:46:18.395769: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 21:46:18.396024: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:46:18.396093: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 21:46:18.396117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 21:46:18.396134: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 21:46:18.396152: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 21:46:18.396168: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 21:46:18.396184: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 21:46:18.396201: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 21:46:18.401480: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 21:46:18.403955: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:46:21.883488: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 21:46:21.883798: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 21:46:21.883834: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 21:46:21.896896: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37401 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:47:00.0, compute capability: 8.0) +2022-03-25 21:46:24.101695: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 21:46:24.115345: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000035000 Hz +2022-03-25 21:46:24.456444: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 21:46:28.382559: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 21:46:28.397983: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 21:47:03.087882: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:47:06.402534: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 21:47:06.404859: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 21:47:06.633805: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 21:47:06.634012: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:47:06.638940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 21:47:06.639314: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 21:47:06.641372: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 21:47:06.641890: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 21:47:06.646673: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 21:47:06.647960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 21:47:06.648255: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 21:47:06.653799: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 21:47:06.654647: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-03-25 21:47:06.654809: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 21:47:06.657591: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 21:47:06.657772: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:47:06.657865: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 21:47:06.657888: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 21:47:06.657905: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 21:47:06.657923: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 21:47:06.657940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 21:47:06.657955: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 21:47:06.657982: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 21:47:06.663066: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 21:47:06.663261: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 21:47:07.583451: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 21:47:07.583679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 21:47:07.583702: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 21:47:07.590221: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37401 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:47:00.0, compute capability: 8.0) +2022-03-25 21:51:34.596154: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 21:51:34.597342: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000035000 Hz +2022-03-25 21:51:37.932789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 21:51:38.935994: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 21:51:38.962385: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 21:51:44.188468: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2022-03-25 22:25:18.913911: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:25:22.816721: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:25:22.818368: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 22:25:23.361039: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:25:23.361147: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:25:23.365061: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:25:23.365206: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:25:23.366822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:25:23.367111: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:25:23.370671: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:25:23.371643: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:25:23.371830: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:25:23.376927: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:25:23.377607: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-03-25 22:25:23.377736: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:25:23.380173: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:25:23.380219: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:25:23.380267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:25:23.380287: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:25:23.380305: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:25:23.380323: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:25:23.380340: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:25:23.380357: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:25:23.380375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:25:23.385003: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:25:23.385058: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:25:24.162321: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 22:25:24.162477: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 22:25:24.162495: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 22:25:24.167934: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37401 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:47:00.0, compute capability: 8.0) +2022-03-25 22:26:20.191788: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 22:26:20.197141: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000035000 Hz +2022-03-25 22:26:20.332900: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:26:21.216622: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:26:21.220802: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-03-25 22:27:49.610350: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:27:53.293217: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:27:53.305631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 22:27:53.838333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:27:53.838478: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:27:53.842145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:27:53.842311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:27:53.843844: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:27:53.844123: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:27:53.847758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:27:53.848606: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:27:53.848806: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:27:53.853225: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:27:53.853865: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-03-25 22:27:53.854020: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:27:53.856158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:27:53.856205: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:27:53.856256: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:27:53.856277: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:27:53.856295: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:27:53.856312: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:27:53.856329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:27:53.856346: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:27:53.856364: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:27:53.860399: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:27:53.860468: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:27:54.689427: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 22:27:54.689599: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 22:27:54.689616: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 22:27:54.695382: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37401 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:47:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-03-25 22:28:46.475261: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 22:28:46.478791: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000035000 Hz +2022-03-25 22:28:46.560553: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:28:47.385206: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:28:47.387921: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-03-25 22:30:10.921146: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:30:14.438621: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:30:14.440166: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 22:30:14.972383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:30:14.972500: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:30:14.976134: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:30:14.976217: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:30:14.977677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:30:14.977944: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:30:14.981337: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:30:14.982114: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:30:14.982299: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:30:14.987058: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:30:14.987594: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-03-25 22:30:14.987700: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:30:14.990047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:30:14.990077: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:30:14.990100: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:30:14.990118: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:30:14.990161: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:30:14.990180: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:30:14.990196: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:30:14.990213: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:30:14.990229: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:30:14.994779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:30:14.994820: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:30:15.705040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 22:30:15.705181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 22:30:15.705198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 22:30:15.710594: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37401 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:47:00.0, compute capability: 8.0) +2022-03-25 22:31:05.707664: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 22:31:05.710335: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000035000 Hz +2022-03-25 22:31:05.764780: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:31:06.575081: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:31:06.577661: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-03-25 22:31:59.533874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:32:01.357162: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:32:01.358680: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 22:32:01.891282: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:32:01.891414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:32:01.895064: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:32:01.895145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:32:01.896726: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:32:01.897009: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:32:01.900679: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:32:01.901452: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:32:01.901640: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:32:01.906447: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:32:01.907003: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-03-25 22:32:01.907114: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:32:01.909441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:32:01.909484: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:32:01.909507: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:32:01.909525: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:32:01.909543: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:32:01.909560: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:32:01.909578: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:32:01.909594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:32:01.909611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:32:01.914099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:32:01.914169: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:32:02.715922: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 22:32:02.716043: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 22:32:02.716060: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 22:32:02.721475: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37401 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:47:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-03-25 22:32:15.911621: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 22:32:15.912467: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000035000 Hz +2022-03-25 22:32:16.190710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:32:17.054945: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:32:17.058160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints’: File exists +2022-03-25 22:34:47.277722: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:34:49.088019: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:34:49.089623: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 22:34:49.557709: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:34:49.557853: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:34:49.561427: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:34:49.561497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:34:49.563004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:34:49.563275: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:34:49.566828: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:34:49.567547: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:34:49.567724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:34:49.572048: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:34:49.572617: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-03-25 22:34:49.572725: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 22:34:49.574825: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:47:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s +2022-03-25 22:34:49.574885: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:34:49.574909: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:34:49.574927: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:34:49.574944: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 22:34:49.574960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 22:34:49.574988: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 22:34:49.575004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 22:34:49.575020: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 22:34:49.579027: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 22:34:49.579073: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 22:34:50.366827: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 22:34:50.366998: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 22:34:50.367015: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 22:34:50.372729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37401 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:47:00.0, compute capability: 8.0) +2022-03-25 22:35:04.808822: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 22:35:04.809643: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000035000 Hz +2022-03-25 22:35:05.005433: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 22:35:05.873209: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 22:35:05.876174: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stdout.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..4fef9889ac203dd3029ca11ef934d1d722fb7a87 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stdout.txt @@ -0,0 +1,469 @@ +ATAC-seq +ATAC_PE +Fri Mar 25 21:41:03 2022 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +| | | MIG M. | +|===============================+======================+======================| +| 0 NVIDIA A100-SXM... On | 00000000:47:00.0 Off | 0 | +| N/A 27C P0 51W / 400W | 0MiB / 40960MiB | 0% E. Process | +| | | Disabled | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: | +| GPU GI CI PID Type Process name GPU Memory | +| ID ID Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ +No logfile supplied - creating one +2022-03-25_21-41-06: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/k562_atac_bias_new.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/ +evaluating hyperparameters on the following chromosomes ['chr2', 'chr4', 'chr5', 'chr7', 'chr9', 'chr10', 'chr11', 'chr12', 'chr13', 'chr14', 'chr15', 'chr16', 'chr17', 'chr18', 'chr19', 'chr21', 'chr22', 'chrX', 'chrY', 'chr8', 'chr20'] +Number of peaks input: 69608 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 69608 +Number of peaks input: 19338 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 19338 +Number of non peaks input: 69608 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 69608 +Number of non peaks input: 19337 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 19337 +Number of peaks after removing outliers: 68836 +Number of nonpeaks after removing outliers: 61503 +got the model +Model: "functional_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 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[============================>.] - ETA: 0s 1906/1922 [============================>.] - ETA: 0s 1914/1922 [============================>.] - ETA: 0s 1922/1922 [==============================] - ETA: 0s 1922/1922 [==============================] - 32s 7ms/step +2022-03-25_21-47-00: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.6', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(62870, 10) +loading nonpeaks... +got split:train for bed regions:(56100, 10) +loading peaks... +got split:valid for bed regions:(5966, 10) +loading nonpeaks... +got split:valid for bed regions:(5403, 10) +Epoch 1/50 + 1/1081 [..............................] - ETA: 3:21:53 - loss: 314.1457 - logits_profile_predictions_loss: 293.9009 - logcount_predictions_loss: 1.9099 2/1081 [..............................] - ETA: 2:49 - loss: 1966.2991 - logits_profile_predictions_loss: 292.8961 - logcount_predictions_loss: 157.8682 3/1081 [..............................] - ETA: 2:48 - loss: 2145.4695 - logits_profile_predictions_loss: 288.8703 - logcount_predictions_loss: 175.1509 4/1081 [..............................] - ETA: 2:48 - loss: 2096.4154 - logits_profile_predictions_loss: 286.1210 - logcount_predictions_loss: 170.7825 5/1081 [..............................] - ETA: 2:47 - loss: 2002.1396 - logits_profile_predictions_loss: 285.6426 - logcount_predictions_loss: 161.9337 6/1081 [..............................] - ETA: 2:47 - loss: 1901.9357 - logits_profile_predictions_loss: 284.7486 - logcount_predictions_loss: 152.5648 7/1081 [..............................] - ETA: 2:47 - loss: 1807.8671 - logits_profile_predictions_loss: 284.1100 - logcount_predictions_loss: 143.7507 8/1081 [..............................] - ETA: 2:47 - loss: 1722.5674 - logits_profile_predictions_loss: 283.6400 - logcount_predictions_loss: 135.7479 9/1081 [..............................] - ETA: 2:46 - loss: 1646.3433 - logits_profile_predictions_loss: 283.5524 - logcount_predictions_loss: 128.5652 10/1081 [..............................] - ETA: 2:46 - loss: 1577.9944 - logits_profile_predictions_loss: 283.4513 - logcount_predictions_loss: 122.1267 11/1081 [..............................] - ETA: 2:46 - loss: 1516.9188 - logits_profile_predictions_loss: 283.6357 - logcount_predictions_loss: 116.3475 12/1081 [..............................] - ETA: 2:46 - loss: 1461.8876 - logits_profile_predictions_loss: 283.8248 - logcount_predictions_loss: 111.1380 13/1081 [..............................] - ETA: 2:46 - loss: 1412.0467 - logits_profile_predictions_loss: 283.9688 - logcount_predictions_loss: 106.4224 14/1081 [..............................] - ETA: 2:46 - loss: 1366.7779 - logits_profile_predictions_loss: 284.1366 - logcount_predictions_loss: 102.1360 15/1081 [..............................] - ETA: 2:45 - loss: 1325.5711 - logits_profile_predictions_loss: 284.3920 - logcount_predictions_loss: 98.2244  16/1081 [..............................] - ETA: 2:45 - loss: 1287.6533 - logits_profile_predictions_loss: 284.4878 - logcount_predictions_loss: 94.6382 17/1081 [..............................] - ETA: 2:45 - loss: 1252.6567 - logits_profile_predictions_loss: 284.4688 - logcount_predictions_loss: 91.3385 18/1081 [..............................] - ETA: 2:45 - loss: 1220.3440 - logits_profile_predictions_loss: 284.4455 - logcount_predictions_loss: 88.2923 19/1081 [..............................] - ETA: 2:45 - loss: 1190.4027 - logits_profile_predictions_loss: 284.4172 - logcount_predictions_loss: 85.4703 20/1081 [..............................] - ETA: 2:45 - loss: 1162.5897 - logits_profile_predictions_loss: 284.3965 - logcount_predictions_loss: 82.8484 21/1081 [..............................] - ETA: 2:45 - loss: 1136.7494 - logits_profile_predictions_loss: 284.4456 - logcount_predictions_loss: 80.4060 22/1081 [..............................] - ETA: 2:44 - loss: 1112.6136 - logits_profile_predictions_loss: 284.4964 - logcount_predictions_loss: 78.1242 23/1081 [..............................] - ETA: 2:44 - loss: 1090.0780 - logits_profile_predictions_loss: 284.6092 - logcount_predictions_loss: 75.9876 24/1081 [..............................] - ETA: 2:44 - loss: 1068.9414 - logits_profile_predictions_loss: 284.7293 - logcount_predictions_loss: 73.9823 25/1081 [..............................] - ETA: 2:44 - loss: 1049.0480 - logits_profile_predictions_loss: 284.8345 - logcount_predictions_loss: 72.0956 26/1081 [..............................] - ETA: 2:44 - loss: 1030.3183 - logits_profile_predictions_loss: 284.9516 - logcount_predictions_loss: 70.3176 27/1081 [..............................] - ETA: 2:44 - loss: 1012.5890 - logits_profile_predictions_loss: 285.0273 - logcount_predictions_loss: 68.6379 28/1081 [..............................] - ETA: 2:44 - loss: 995.7542 - logits_profile_predictions_loss: 285.0447 - logcount_predictions_loss: 67.0481  29/1081 [..............................] - ETA: 2:44 - loss: 979.7753 - logits_profile_predictions_loss: 285.0399 - logcount_predictions_loss: 65.5411 30/1081 [..............................] - ETA: 2:43 - loss: 964.6502 - logits_profile_predictions_loss: 285.0736 - logcount_predictions_loss: 64.1110 31/1081 [..............................] - ETA: 2:43 - loss: 950.2649 - logits_profile_predictions_loss: 285.0994 - logcount_predictions_loss: 62.7515 32/1081 [..............................] - ETA: 2:43 - loss: 936.5394 - logits_profile_predictions_loss: 285.0963 - logcount_predictions_loss: 61.4569 33/1081 [..............................] - ETA: 2:43 - loss: 923.4936 - logits_profile_predictions_loss: 285.1267 - logcount_predictions_loss: 60.2233 34/1081 [..............................] - ETA: 2:43 - loss: 911.0294 - logits_profile_predictions_loss: 285.1447 - logcount_predictions_loss: 59.0457 35/1081 [..............................] - ETA: 2:43 - loss: 899.1211 - logits_profile_predictions_loss: 285.1632 - logcount_predictions_loss: 57.9206 36/1081 [..............................] - ETA: 2:42 - loss: 887.7249 - logits_profile_predictions_loss: 285.1778 - logcount_predictions_loss: 56.8441 37/1081 [>.............................] - ETA: 2:42 - loss: 876.7964 - logits_profile_predictions_loss: 285.1790 - logcount_predictions_loss: 55.8130 38/1081 [>.............................] - ETA: 2:42 - loss: 866.3010 - logits_profile_predictions_loss: 285.1644 - logcount_predictions_loss: 54.8242 39/1081 [>.............................] - ETA: 2:42 - loss: 856.2229 - logits_profile_predictions_loss: 285.1442 - logcount_predictions_loss: 53.8753 40/1081 [>.............................] - ETA: 2:42 - loss: 846.5512 - logits_profile_predictions_loss: 285.1319 - logcount_predictions_loss: 52.9641 41/1081 [>.............................] - ETA: 2:42 - loss: 837.2381 - logits_profile_predictions_loss: 285.1069 - logcount_predictions_loss: 52.0878 42/1081 [>.............................] - ETA: 2:42 - loss: 828.2687 - logits_profile_predictions_loss: 285.0757 - logcount_predictions_loss: 51.2446 43/1081 [>.............................] - ETA: 2:41 - loss: 819.6341 - logits_profile_predictions_loss: 285.0473 - logcount_predictions_loss: 50.4327 44/1081 [>.............................] - ETA: 2:41 - loss: 811.2860 - logits_profile_predictions_loss: 284.9975 - logcount_predictions_loss: 49.6499 45/1081 [>.............................] - ETA: 2:41 - loss: 803.2501 - logits_profile_predictions_loss: 284.9637 - logcount_predictions_loss: 48.8949 46/1081 [>.............................] - ETA: 2:41 - loss: 795.4842 - logits_profile_predictions_loss: 284.9224 - logcount_predictions_loss: 48.1662 47/1081 [>.............................] - ETA: 2:41 - loss: 787.9845 - logits_profile_predictions_loss: 284.8833 - logcount_predictions_loss: 47.4624 48/1081 [>.............................] - ETA: 2:41 - loss: 780.7264 - logits_profile_predictions_loss: 284.8375 - logcount_predictions_loss: 46.7820 49/1081 [>.............................] - ETA: 2:41 - loss: 773.7033 - logits_profile_predictions_loss: 284.7902 - logcount_predictions_loss: 46.1239 50/1081 [>.............................] - ETA: 2:40 - loss: 766.8960 - logits_profile_predictions_loss: 284.7353 - logcount_predictions_loss: 45.4869 51/1081 [>.............................] - ETA: 2:40 - loss: 760.3039 - logits_profile_predictions_loss: 284.6810 - logcount_predictions_loss: 44.8701 52/1081 [>.............................] - ETA: 2:40 - loss: 753.8987 - logits_profile_predictions_loss: 284.6121 - logcount_predictions_loss: 44.2723 53/1081 [>.............................] - ETA: 2:40 - loss: 747.7003 - logits_profile_predictions_loss: 284.5545 - logcount_predictions_loss: 43.6930 54/1081 [>.............................] - ETA: 2:40 - loss: 741.6950 - logits_profile_predictions_loss: 284.5040 - logcount_predictions_loss: 43.1312 55/1081 [>.............................] - ETA: 2:40 - loss: 735.8551 - logits_profile_predictions_loss: 284.4447 - logcount_predictions_loss: 42.5859 56/1081 [>.............................] - ETA: 2:39 - loss: 730.1903 - logits_profile_predictions_loss: 284.3918 - logcount_predictions_loss: 42.0565 57/1081 [>.............................] - ETA: 2:39 - loss: 724.6817 - logits_profile_predictions_loss: 284.3355 - logcount_predictions_loss: 41.5421 58/1081 [>.............................] - ETA: 2:39 - loss: 719.3332 - logits_profile_predictions_loss: 284.2849 - logcount_predictions_loss: 41.0423 59/1081 [>.............................] - ETA: 2:39 - loss: 714.1329 - logits_profile_predictions_loss: 284.2358 - logcount_predictions_loss: 40.5563 60/1081 [>.............................] - ETA: 2:39 - loss: 709.0722 - logits_profile_predictions_loss: 284.1857 - logcount_predictions_loss: 40.0836 61/1081 [>.............................] - ETA: 2:39 - loss: 704.1446 - logits_profile_predictions_loss: 284.1342 - logcount_predictions_loss: 39.6236 62/1081 [>.............................] - ETA: 2:39 - loss: 699.3425 - logits_profile_predictions_loss: 284.0795 - logcount_predictions_loss: 39.1757 63/1081 [>.............................] - ETA: 2:38 - loss: 694.6654 - logits_profile_predictions_loss: 284.0264 - logcount_predictions_loss: 38.7395 64/1081 [>.............................] - ETA: 2:38 - loss: 690.1105 - logits_profile_predictions_loss: 283.9762 - logcount_predictions_loss: 38.3146 65/1081 [>.............................] - ETA: 2:38 - loss: 685.6754 - logits_profile_predictions_loss: 283.9311 - logcount_predictions_loss: 37.9004 66/1081 [>.............................] - ETA: 2:38 - loss: 681.3560 - logits_profile_predictions_loss: 283.8917 - logcount_predictions_loss: 37.4966 67/1081 [>.............................] - ETA: 2:38 - loss: 677.1420 - logits_profile_predictions_loss: 283.8527 - logcount_predictions_loss: 37.1028 68/1081 [>.............................] - ETA: 2:38 - loss: 673.0251 - logits_profile_predictions_loss: 283.8100 - logcount_predictions_loss: 36.7184 69/1081 [>.............................] - ETA: 2:37 - loss: 669.0088 - logits_profile_predictions_loss: 283.7698 - logcount_predictions_loss: 36.3433 70/1081 [>.............................] - ETA: 2:37 - loss: 665.0878 - logits_profile_predictions_loss: 283.7308 - logcount_predictions_loss: 35.9771 71/1081 [>.............................] - ETA: 2:37 - loss: 661.2600 - logits_profile_predictions_loss: 283.6941 - logcount_predictions_loss: 35.6194 72/1081 [>.............................] - ETA: 2:37 - loss: 657.5183 - logits_profile_predictions_loss: 283.6564 - logcount_predictions_loss: 35.2700 73/1081 [=>............................] - ETA: 2:37 - loss: 653.8603 - logits_profile_predictions_loss: 283.6183 - logcount_predictions_loss: 34.9285 74/1081 [=>............................] - ETA: 2:37 - loss: 650.2831 - logits_profile_predictions_loss: 283.5802 - logcount_predictions_loss: 34.5946 75/1081 [=>............................] - ETA: 2:36 - loss: 646.7844 - logits_profile_predictions_loss: 283.5421 - logcount_predictions_loss: 34.2681 76/1081 [=>............................] - ETA: 2:36 - loss: 643.3597 - logits_profile_predictions_loss: 283.5026 - logcount_predictions_loss: 33.9488 77/1081 [=>............................] - ETA: 2:36 - loss: 640.0112 - logits_profile_predictions_loss: 283.4656 - logcount_predictions_loss: 33.6364 78/1081 [=>............................] - ETA: 2:36 - loss: 636.7341 - logits_profile_predictions_loss: 283.4295 - logcount_predictions_loss: 33.3306 79/1081 [=>............................] - ETA: 2:36 - loss: 633.5219 - logits_profile_predictions_loss: 283.3904 - logcount_predictions_loss: 33.0313 80/1081 [=>............................] - ETA: 2:36 - loss: 630.3767 - logits_profile_predictions_loss: 283.3523 - logcount_predictions_loss: 32.7382 81/1081 [=>............................] - ETA: 2:36 - loss: 627.2966 - logits_profile_predictions_loss: 283.3149 - logcount_predictions_loss: 32.4511 82/1081 [=>............................] - ETA: 2:35 - loss: 624.2820 - logits_profile_predictions_loss: 283.2804 - logcount_predictions_loss: 32.1700 83/1081 [=>............................] - ETA: 2:35 - loss: 621.3347 - logits_profile_predictions_loss: 283.2524 - logcount_predictions_loss: 31.8946 84/1081 [=>............................] - ETA: 2:35 - loss: 618.4469 - logits_profile_predictions_loss: 283.2256 - logcount_predictions_loss: 31.6246 85/1081 [=>............................] - ETA: 2:35 - loss: 615.6168 - logits_profile_predictions_loss: 283.2001 - logcount_predictions_loss: 31.3601 86/1081 [=>............................] - ETA: 2:35 - loss: 612.8406 - logits_profile_predictions_loss: 283.1740 - logcount_predictions_loss: 31.1006 87/1081 [=>............................] - ETA: 2:35 - loss: 610.1171 - logits_profile_predictions_loss: 283.1475 - logcount_predictions_loss: 30.8462 88/1081 [=>............................] - ETA: 2:34 - loss: 607.4457 - logits_profile_predictions_loss: 283.1214 - logcount_predictions_loss: 30.5966 89/1081 [=>............................] - ETA: 2:34 - loss: 604.8285 - logits_profile_predictions_loss: 283.0993 - logcount_predictions_loss: 30.3518 90/1081 [=>............................] - ETA: 2:34 - loss: 602.2629 - logits_profile_predictions_loss: 283.0798 - logcount_predictions_loss: 30.1116 91/1081 [=>............................] - ETA: 2:34 - loss: 599.7389 - logits_profile_predictions_loss: 283.0554 - logcount_predictions_loss: 29.8758 92/1081 [=>............................] - ETA: 2:34 - loss: 597.2575 - logits_profile_predictions_loss: 283.0285 - logcount_predictions_loss: 29.6442 93/1081 [=>............................] - ETA: 2:34 - loss: 594.8225 - logits_profile_predictions_loss: 283.0033 - logcount_predictions_loss: 29.4169 94/1081 [=>............................] - ETA: 2:33 - loss: 592.4310 - logits_profile_predictions_loss: 282.9786 - logcount_predictions_loss: 29.1936 95/1081 [=>............................] - ETA: 2:33 - loss: 590.0809 - logits_profile_predictions_loss: 282.9534 - logcount_predictions_loss: 28.9743 96/1081 [=>............................] - ETA: 2:33 - loss: 587.7715 - logits_profile_predictions_loss: 282.9281 - logcount_predictions_loss: 28.7588 97/1081 [=>............................] - ETA: 2:33 - loss: 585.5029 - logits_profile_predictions_loss: 282.9039 - logcount_predictions_loss: 28.5471 98/1081 [=>............................] - ETA: 2:33 - loss: 583.2719 - logits_profile_predictions_loss: 282.8787 - logcount_predictions_loss: 28.3390 99/1081 [=>............................] - ETA: 2:33 - loss: 581.0794 - logits_profile_predictions_loss: 282.8542 - logcount_predictions_loss: 28.1345 100/1081 [=>............................] - ETA: 2:33 - loss: 578.9230 - logits_profile_predictions_loss: 282.8291 - logcount_predictions_loss: 27.9334 101/1081 [=>............................] - ETA: 2:32 - loss: 576.8029 - logits_profile_predictions_loss: 282.8047 - logcount_predictions_loss: 27.7357 102/1081 [=>............................] - ETA: 2:32 - loss: 574.7174 - logits_profile_predictions_loss: 282.7801 - logcount_predictions_loss: 27.5413 103/1081 [=>............................] - ETA: 2:32 - loss: 572.6648 - logits_profile_predictions_loss: 282.7546 - logcount_predictions_loss: 27.3500 104/1081 [=>............................] - ETA: 2:32 - loss: 570.6409 - logits_profile_predictions_loss: 282.7251 - logcount_predictions_loss: 27.1619 105/1081 [=>............................] - ETA: 2:32 - loss: 568.6492 - logits_profile_predictions_loss: 282.6958 - logcount_predictions_loss: 26.9767 106/1081 [=>............................] - ETA: 2:32 - loss: 566.6877 - logits_profile_predictions_loss: 282.6654 - logcount_predictions_loss: 26.7945 107/1081 [=>............................] - ETA: 2:32 - loss: 564.7596 - logits_profile_predictions_loss: 282.6375 - logcount_predictions_loss: 26.6153 108/1081 [=>............................] - ETA: 2:31 - loss: 562.8615 - logits_profile_predictions_loss: 282.6097 - logcount_predictions_loss: 26.4388 109/1081 [==>...........................] - ETA: 2:31 - loss: 560.9923 - logits_profile_predictions_loss: 282.5817 - logcount_predictions_loss: 26.2651 110/1081 [==>...........................] - ETA: 2:31 - loss: 559.1515 - logits_profile_predictions_loss: 282.5537 - logcount_predictions_loss: 26.0941 111/1081 [==>...........................] - ETA: 2:31 - loss: 557.3378 - logits_profile_predictions_loss: 282.5252 - logcount_predictions_loss: 25.9257 112/1081 [==>...........................] - ETA: 2:31 - loss: 555.5514 - logits_profile_predictions_loss: 282.4967 - logcount_predictions_loss: 25.7599 113/1081 [==>...........................] - ETA: 2:31 - loss: 553.7913 - logits_profile_predictions_loss: 282.4683 - logcount_predictions_loss: 25.5965 114/1081 [==>...........................] - ETA: 2:30 - loss: 552.0565 - logits_profile_predictions_loss: 282.4394 - logcount_predictions_loss: 25.4356 115/1081 [==>...........................] - ETA: 2:30 - loss: 550.3473 - logits_profile_predictions_loss: 282.4108 - logcount_predictions_loss: 25.2770 116/1081 [==>...........................] - ETA: 2:30 - loss: 548.6629 - logits_profile_predictions_loss: 282.3823 - logcount_predictions_loss: 25.1208 117/1081 [==>...........................] - ETA: 2:30 - loss: 547.0040 - logits_profile_predictions_loss: 282.3550 - logcount_predictions_loss: 24.9669 118/1081 [==>...........................] - ETA: 2:30 - loss: 545.3677 - logits_profile_predictions_loss: 282.3268 - logcount_predictions_loss: 24.8152 119/1081 [==>...........................] - ETA: 2:30 - loss: 543.7534 - logits_profile_predictions_loss: 282.2976 - logcount_predictions_loss: 24.6656 120/1081 [==>...........................] - ETA: 2:29 - loss: 542.1627 - logits_profile_predictions_loss: 282.2695 - logcount_predictions_loss: 24.5182 121/1081 [==>...........................] - ETA: 2:29 - loss: 540.5971 - logits_profile_predictions_loss: 282.2439 - logcount_predictions_loss: 24.3729 122/1081 [==>...........................] - ETA: 2:29 - loss: 539.0569 - logits_profile_predictions_loss: 282.2219 - logcount_predictions_loss: 24.2297 123/1081 [==>...........................] - ETA: 2:29 - loss: 537.5395 - logits_profile_predictions_loss: 282.2014 - logcount_predictions_loss: 24.0885 124/1081 [==>...........................] - ETA: 2:29 - loss: 536.0440 - logits_profile_predictions_loss: 282.1820 - logcount_predictions_loss: 23.9492 125/1081 [==>...........................] - ETA: 2:29 - loss: 534.5679 - logits_profile_predictions_loss: 282.1620 - logcount_predictions_loss: 23.8119 126/1081 [==>...........................] - ETA: 2:28 - loss: 533.1112 - logits_profile_predictions_loss: 282.1417 - logcount_predictions_loss: 23.6764 127/1081 [==>...........................] - ETA: 2:28 - loss: 531.6738 - logits_profile_predictions_loss: 282.1213 - logcount_predictions_loss: 23.5427 128/1081 [==>...........................] - ETA: 2:28 - loss: 530.2539 - logits_profile_predictions_loss: 282.0997 - logcount_predictions_loss: 23.4108 129/1081 [==>...........................] - ETA: 2:28 - loss: 528.8526 - logits_profile_predictions_loss: 282.0780 - logcount_predictions_loss: 23.2806 130/1081 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[=====>........................] - ETA: 2:14 - loss: 448.9195 - logits_profile_predictions_loss: 280.9327 - logcount_predictions_loss: 15.8478 222/1081 [=====>........................] - ETA: 2:14 - loss: 448.3715 - logits_profile_predictions_loss: 280.9222 - logcount_predictions_loss: 15.7971 223/1081 [=====>........................] - ETA: 2:13 - loss: 447.8268 - logits_profile_predictions_loss: 280.9110 - logcount_predictions_loss: 15.7468 224/1081 [=====>........................] - ETA: 2:13 - loss: 447.2862 - logits_profile_predictions_loss: 280.8997 - logcount_predictions_loss: 15.6968 225/1081 [=====>........................] - ETA: 2:13 - loss: 446.7500 - logits_profile_predictions_loss: 280.8887 - logcount_predictions_loss: 15.6473 226/1081 [=====>........................] - ETA: 2:13 - loss: 446.2188 - logits_profile_predictions_loss: 280.8785 - logcount_predictions_loss: 15.5981 227/1081 [=====>........................] - ETA: 2:13 - loss: 445.6924 - 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[=====>........................] - ETA: 2:12 - loss: 442.1179 - logits_profile_predictions_loss: 280.8040 - logcount_predictions_loss: 15.2183 235/1081 [=====>........................] - ETA: 2:12 - loss: 441.6232 - logits_profile_predictions_loss: 280.7956 - logcount_predictions_loss: 15.1724 236/1081 [=====>........................] - ETA: 2:12 - loss: 441.1321 - logits_profile_predictions_loss: 280.7873 - logcount_predictions_loss: 15.1269 237/1081 [=====>........................] - ETA: 2:11 - loss: 440.6447 - logits_profile_predictions_loss: 280.7790 - logcount_predictions_loss: 15.0817 238/1081 [=====>........................] - ETA: 2:11 - loss: 440.1610 - logits_profile_predictions_loss: 280.7708 - logcount_predictions_loss: 15.0368 239/1081 [=====>........................] - ETA: 2:11 - loss: 439.6806 - logits_profile_predictions_loss: 280.7625 - logcount_predictions_loss: 14.9923 240/1081 [=====>........................] - ETA: 2:11 - loss: 439.2034 - 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[=====>........................] - ETA: 2:10 - loss: 435.9594 - logits_profile_predictions_loss: 280.6967 - logcount_predictions_loss: 14.6474 248/1081 [=====>........................] - ETA: 2:10 - loss: 435.5092 - logits_profile_predictions_loss: 280.6888 - logcount_predictions_loss: 14.6057 249/1081 [=====>........................] - ETA: 2:10 - loss: 435.0620 - logits_profile_predictions_loss: 280.6808 - logcount_predictions_loss: 14.5643 250/1081 [=====>........................] - ETA: 2:09 - loss: 434.6175 - logits_profile_predictions_loss: 280.6724 - logcount_predictions_loss: 14.5231 251/1081 [=====>........................] - ETA: 2:09 - loss: 434.1762 - logits_profile_predictions_loss: 280.6642 - logcount_predictions_loss: 14.4823 252/1081 [=====>........................] - ETA: 2:09 - loss: 433.7382 - logits_profile_predictions_loss: 280.6562 - logcount_predictions_loss: 14.4417 253/1081 [======>.......................] - ETA: 2:09 - loss: 433.3025 - 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[=====>........................] - ETA: 2:13 - loss: 279.1969 - logits_profile_predictions_loss: 274.5205 - logcount_predictions_loss: 0.4412 224/1081 [=====>........................] - ETA: 2:13 - loss: 279.2043 - logits_profile_predictions_loss: 274.5280 - logcount_predictions_loss: 0.4412 225/1081 [=====>........................] - ETA: 2:12 - loss: 279.2115 - logits_profile_predictions_loss: 274.5353 - logcount_predictions_loss: 0.4411 226/1081 [=====>........................] - ETA: 2:12 - loss: 279.2188 - logits_profile_predictions_loss: 274.5426 - logcount_predictions_loss: 0.4411 227/1081 [=====>........................] - ETA: 2:12 - loss: 279.2258 - logits_profile_predictions_loss: 274.5497 - logcount_predictions_loss: 0.4411 228/1081 [=====>........................] - ETA: 2:12 - loss: 279.2330 - logits_profile_predictions_loss: 274.5570 - logcount_predictions_loss: 0.4411 229/1081 [=====>........................] - ETA: 2:12 - loss: 279.2402 - 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[=====>........................] - ETA: 2:09 - loss: 279.3719 - logits_profile_predictions_loss: 274.6988 - logcount_predictions_loss: 0.4409 250/1081 [=====>........................] - ETA: 2:08 - loss: 279.3771 - logits_profile_predictions_loss: 274.7042 - logcount_predictions_loss: 0.4408 251/1081 [=====>........................] - ETA: 2:08 - loss: 279.3823 - logits_profile_predictions_loss: 274.7096 - logcount_predictions_loss: 0.4408 252/1081 [=====>........................] - ETA: 2:08 - loss: 279.3873 - logits_profile_predictions_loss: 274.7147 - logcount_predictions_loss: 0.4408 253/1081 [======>.......................] - ETA: 2:08 - loss: 279.3925 - logits_profile_predictions_loss: 274.7201 - logcount_predictions_loss: 0.4408 254/1081 [======>.......................] - ETA: 2:08 - loss: 279.3981 - logits_profile_predictions_loss: 274.7259 - logcount_predictions_loss: 0.4408 255/1081 [======>.......................] - ETA: 2:08 - loss: 279.4036 - 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[=>............................] - ETA: 2:33 - loss: 280.0911 - logits_profile_predictions_loss: 275.6725 - logcount_predictions_loss: 0.4168 90/1081 [=>............................] - ETA: 2:33 - loss: 280.0722 - logits_profile_predictions_loss: 275.6566 - logcount_predictions_loss: 0.4166 91/1081 [=>............................] - ETA: 2:33 - loss: 280.0585 - logits_profile_predictions_loss: 275.6460 - logcount_predictions_loss: 0.4163 92/1081 [=>............................] - ETA: 2:33 - loss: 280.0447 - logits_profile_predictions_loss: 275.6352 - logcount_predictions_loss: 0.4160 93/1081 [=>............................] - ETA: 2:32 - loss: 280.0302 - logits_profile_predictions_loss: 275.6236 - logcount_predictions_loss: 0.4157 94/1081 [=>............................] - ETA: 2:32 - loss: 280.0138 - logits_profile_predictions_loss: 275.6100 - logcount_predictions_loss: 0.4154 95/1081 [=>............................] - ETA: 2:32 - loss: 279.9983 - logits_profile_predictions_loss: 275.5973 - logcount_predictions_loss: 0.4152 96/1081 [=>............................] - ETA: 2:32 - loss: 279.9816 - logits_profile_predictions_loss: 275.5832 - logcount_predictions_loss: 0.4149 97/1081 [=>............................] - ETA: 2:32 - loss: 279.9671 - logits_profile_predictions_loss: 275.5714 - logcount_predictions_loss: 0.4147 98/1081 [=>............................] - ETA: 2:32 - loss: 279.9530 - logits_profile_predictions_loss: 275.5600 - logcount_predictions_loss: 0.4144 99/1081 [=>............................] - ETA: 2:32 - loss: 279.9380 - logits_profile_predictions_loss: 275.5476 - logcount_predictions_loss: 0.4142 100/1081 [=>............................] - ETA: 2:31 - loss: 279.9270 - logits_profile_predictions_loss: 275.5391 - logcount_predictions_loss: 0.4140 101/1081 [=>............................] - ETA: 2:31 - loss: 279.9145 - logits_profile_predictions_loss: 275.5292 - logcount_predictions_loss: 0.4137 102/1081 [=>............................] - ETA: 2:31 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0.4122 109/1081 [==>...........................] - ETA: 2:30 - loss: 279.8268 - logits_profile_predictions_loss: 275.4600 - logcount_predictions_loss: 0.4120 110/1081 [==>...........................] - ETA: 2:30 - loss: 279.8156 - logits_profile_predictions_loss: 275.4508 - logcount_predictions_loss: 0.4118 111/1081 [==>...........................] - ETA: 2:30 - loss: 279.8011 - logits_profile_predictions_loss: 275.4383 - logcount_predictions_loss: 0.4116 112/1081 [==>...........................] - ETA: 2:30 - loss: 279.7886 - logits_profile_predictions_loss: 275.4278 - logcount_predictions_loss: 0.4114 113/1081 [==>...........................] - ETA: 2:29 - loss: 279.7771 - logits_profile_predictions_loss: 275.4183 - logcount_predictions_loss: 0.4112 114/1081 [==>...........................] - ETA: 2:29 - loss: 279.7645 - logits_profile_predictions_loss: 275.4076 - logcount_predictions_loss: 0.4110 115/1081 [==>...........................] - ETA: 2:29 - loss: 279.7509 - logits_profile_predictions_loss: 275.3958 - logcount_predictions_loss: 0.4109 116/1081 [==>...........................] - ETA: 2:29 - loss: 279.7349 - logits_profile_predictions_loss: 275.3817 - logcount_predictions_loss: 0.4107 117/1081 [==>...........................] - ETA: 2:29 - loss: 279.7198 - logits_profile_predictions_loss: 275.3683 - logcount_predictions_loss: 0.4105 118/1081 [==>...........................] - ETA: 2:29 - loss: 279.7046 - logits_profile_predictions_loss: 275.3549 - logcount_predictions_loss: 0.4104 119/1081 [==>...........................] - ETA: 2:28 - loss: 279.6901 - logits_profile_predictions_loss: 275.3421 - logcount_predictions_loss: 0.4102 120/1081 [==>...........................] - ETA: 2:28 - loss: 279.6779 - logits_profile_predictions_loss: 275.3315 - logcount_predictions_loss: 0.4100 121/1081 [==>...........................] - ETA: 2:28 - loss: 279.6665 - logits_profile_predictions_loss: 275.3216 - logcount_predictions_loss: 0.4099 122/1081 [==>...........................] - ETA: 2:28 - loss: 279.6552 - logits_profile_predictions_loss: 275.3118 - logcount_predictions_loss: 0.4098 123/1081 [==>...........................] - ETA: 2:28 - loss: 279.6435 - logits_profile_predictions_loss: 275.3014 - logcount_predictions_loss: 0.4096 124/1081 [==>...........................] - ETA: 2:28 - loss: 279.6314 - logits_profile_predictions_loss: 275.2906 - logcount_predictions_loss: 0.4095 125/1081 [==>...........................] - ETA: 2:28 - loss: 279.6190 - logits_profile_predictions_loss: 275.2795 - logcount_predictions_loss: 0.4094 126/1081 [==>...........................] - ETA: 2:27 - loss: 279.6063 - logits_profile_predictions_loss: 275.2681 - logcount_predictions_loss: 0.4093 127/1081 [==>...........................] - ETA: 2:27 - loss: 279.5929 - logits_profile_predictions_loss: 275.2560 - logcount_predictions_loss: 0.4091 128/1081 [==>...........................] - ETA: 2:27 - loss: 279.5794 - logits_profile_predictions_loss: 275.2439 - logcount_predictions_loss: 0.4090 129/1081 [==>...........................] - ETA: 2:27 - loss: 279.5657 - logits_profile_predictions_loss: 275.2315 - logcount_predictions_loss: 0.4089 130/1081 [==>...........................] - ETA: 2:27 - loss: 279.5520 - logits_profile_predictions_loss: 275.2192 - logcount_predictions_loss: 0.4088 131/1081 [==>...........................] - ETA: 2:27 - loss: 279.5377 - logits_profile_predictions_loss: 275.2061 - logcount_predictions_loss: 0.4086 132/1081 [==>...........................] - ETA: 2:26 - loss: 279.5235 - logits_profile_predictions_loss: 275.1932 - logcount_predictions_loss: 0.4085 133/1081 [==>...........................] - ETA: 2:26 - loss: 279.5090 - logits_profile_predictions_loss: 275.1799 - logcount_predictions_loss: 0.4084 134/1081 [==>...........................] - ETA: 2:26 - loss: 279.4948 - logits_profile_predictions_loss: 275.1669 - logcount_predictions_loss: 0.4083 135/1081 [==>...........................] - ETA: 2:26 - loss: 279.4798 - logits_profile_predictions_loss: 275.1531 - logcount_predictions_loss: 0.4082 136/1081 [==>...........................] - ETA: 2:26 - loss: 279.4658 - logits_profile_predictions_loss: 275.1403 - logcount_predictions_loss: 0.4081 137/1081 [==>...........................] - ETA: 2:26 - loss: 279.4516 - logits_profile_predictions_loss: 275.1272 - logcount_predictions_loss: 0.4080 138/1081 [==>...........................] - ETA: 2:26 - loss: 279.4383 - logits_profile_predictions_loss: 275.1151 - logcount_predictions_loss: 0.4079 139/1081 [==>...........................] - ETA: 2:25 - loss: 279.4251 - logits_profile_predictions_loss: 275.1030 - logcount_predictions_loss: 0.4077 140/1081 [==>...........................] - ETA: 2:25 - loss: 279.4114 - logits_profile_predictions_loss: 275.0903 - logcount_predictions_loss: 0.4076 141/1081 [==>...........................] - ETA: 2:25 - loss: 279.3992 - logits_profile_predictions_loss: 275.0792 - logcount_predictions_loss: 0.4075 142/1081 [==>...........................] - ETA: 2:25 - loss: 279.3865 - logits_profile_predictions_loss: 275.0676 - logcount_predictions_loss: 0.4074 143/1081 [==>...........................] - ETA: 2:25 - loss: 279.3736 - logits_profile_predictions_loss: 275.0558 - logcount_predictions_loss: 0.4073 144/1081 [==>...........................] - ETA: 2:25 - loss: 279.3593 - logits_profile_predictions_loss: 275.0427 - logcount_predictions_loss: 0.4072 145/1081 [===>..........................] - ETA: 2:24 - loss: 279.3445 - logits_profile_predictions_loss: 275.0292 - logcount_predictions_loss: 0.4071 146/1081 [===>..........................] - ETA: 2:24 - loss: 279.3294 - logits_profile_predictions_loss: 275.0152 - logcount_predictions_loss: 0.4070 147/1081 [===>..........................] - ETA: 2:24 - loss: 279.3138 - logits_profile_predictions_loss: 275.0008 - logcount_predictions_loss: 0.4069 148/1081 [===>..........................] - ETA: 2:24 - loss: 279.2975 - logits_profile_predictions_loss: 274.9857 - logcount_predictions_loss: 0.4068 149/1081 [===>..........................] - ETA: 2:24 - loss: 279.2809 - logits_profile_predictions_loss: 274.9701 - logcount_predictions_loss: 0.4067 150/1081 [===>..........................] - ETA: 2:24 - loss: 279.2634 - logits_profile_predictions_loss: 274.9538 - logcount_predictions_loss: 0.4066 151/1081 [===>..........................] - ETA: 2:23 - loss: 279.2455 - logits_profile_predictions_loss: 274.9371 - logcount_predictions_loss: 0.4065 152/1081 [===>..........................] - ETA: 2:23 - loss: 279.2273 - logits_profile_predictions_loss: 274.9200 - logcount_predictions_loss: 0.4063 153/1081 [===>..........................] - ETA: 2:23 - loss: 279.2080 - logits_profile_predictions_loss: 274.9019 - logcount_predictions_loss: 0.4062 154/1081 [===>..........................] - ETA: 2:23 - loss: 279.1882 - logits_profile_predictions_loss: 274.8833 - logcount_predictions_loss: 0.4061 155/1081 [===>..........................] - ETA: 2:23 - loss: 279.1683 - logits_profile_predictions_loss: 274.8646 - logcount_predictions_loss: 0.4060 156/1081 [===>..........................] - ETA: 2:23 - loss: 279.1485 - logits_profile_predictions_loss: 274.8460 - logcount_predictions_loss: 0.4059 157/1081 [===>..........................] - ETA: 2:23 - loss: 279.1282 - logits_profile_predictions_loss: 274.8269 - logcount_predictions_loss: 0.4058 158/1081 [===>..........................] - ETA: 2:22 - loss: 279.1086 - logits_profile_predictions_loss: 274.8085 - logcount_predictions_loss: 0.4057 159/1081 [===>..........................] - ETA: 2:22 - loss: 279.0893 - logits_profile_predictions_loss: 274.7905 - logcount_predictions_loss: 0.4055 160/1081 [===>..........................] - ETA: 2:22 - loss: 279.0696 - logits_profile_predictions_loss: 274.7721 - logcount_predictions_loss: 0.4054 161/1081 [===>..........................] - ETA: 2:22 - loss: 279.0503 - logits_profile_predictions_loss: 274.7540 - logcount_predictions_loss: 0.4053 162/1081 [===>..........................] - ETA: 2:22 - loss: 279.0311 - logits_profile_predictions_loss: 274.7360 - logcount_predictions_loss: 0.4052 163/1081 [===>..........................] - ETA: 2:22 - loss: 279.0127 - logits_profile_predictions_loss: 274.7189 - logcount_predictions_loss: 0.4051 164/1081 [===>..........................] - ETA: 2:21 - loss: 278.9935 - logits_profile_predictions_loss: 274.7009 - logcount_predictions_loss: 0.4050 165/1081 [===>..........................] - ETA: 2:21 - loss: 278.9745 - logits_profile_predictions_loss: 274.6830 - logcount_predictions_loss: 0.4049 166/1081 [===>..........................] - ETA: 2:21 - loss: 278.9544 - logits_profile_predictions_loss: 274.6641 - logcount_predictions_loss: 0.4047 167/1081 [===>..........................] - ETA: 2:21 - loss: 278.9351 - logits_profile_predictions_loss: 274.6459 - logcount_predictions_loss: 0.4046 168/1081 [===>..........................] - ETA: 2:21 - loss: 278.9159 - logits_profile_predictions_loss: 274.6279 - logcount_predictions_loss: 0.4045 169/1081 [===>..........................] - ETA: 2:20 - loss: 278.8970 - logits_profile_predictions_loss: 274.6102 - logcount_predictions_loss: 0.4044 170/1081 [===>..........................] - ETA: 2:20 - loss: 278.8780 - logits_profile_predictions_loss: 274.5924 - logcount_predictions_loss: 0.4043 171/1081 [===>..........................] - ETA: 2:20 - loss: 278.8593 - logits_profile_predictions_loss: 274.5748 - logcount_predictions_loss: 0.4042 172/1081 [===>..........................] - ETA: 2:20 - loss: 278.8413 - logits_profile_predictions_loss: 274.5579 - logcount_predictions_loss: 0.4041 173/1081 [===>..........................] - ETA: 2:20 - loss: 278.8243 - logits_profile_predictions_loss: 274.5420 - logcount_predictions_loss: 0.4040 174/1081 [===>..........................] - ETA: 2:20 - loss: 278.8066 - logits_profile_predictions_loss: 274.5254 - logcount_predictions_loss: 0.4039 175/1081 [===>..........................] - ETA: 2:19 - loss: 278.7894 - logits_profile_predictions_loss: 274.5093 - logcount_predictions_loss: 0.4038 176/1081 [===>..........................] - ETA: 2:19 - loss: 278.7719 - logits_profile_predictions_loss: 274.4928 - logcount_predictions_loss: 0.4037 177/1081 [===>..........................] - ETA: 2:19 - loss: 278.7548 - logits_profile_predictions_loss: 274.4767 - logcount_predictions_loss: 0.4036 178/1081 [===>..........................] - ETA: 2:19 - loss: 278.7373 - logits_profile_predictions_loss: 274.4603 - logcount_predictions_loss: 0.4035 179/1081 [===>..........................] - ETA: 2:19 - loss: 278.7193 - logits_profile_predictions_loss: 274.4435 - logcount_predictions_loss: 0.4034 180/1081 [===>..........................] - ETA: 2:19 - loss: 278.7013 - logits_profile_predictions_loss: 274.4264 - logcount_predictions_loss: 0.4033 181/1081 [====>.........................] - ETA: 2:19 - loss: 278.6845 - logits_profile_predictions_loss: 274.4106 - logcount_predictions_loss: 0.4032 182/1081 [====>.........................] - ETA: 2:18 - loss: 278.6673 - logits_profile_predictions_loss: 274.3944 - logcount_predictions_loss: 0.4031 183/1081 [====>.........................] - ETA: 2:18 - loss: 278.6515 - logits_profile_predictions_loss: 274.3795 - logcount_predictions_loss: 0.4030 184/1081 [====>.........................] - ETA: 2:18 - loss: 278.6360 - logits_profile_predictions_loss: 274.3650 - logcount_predictions_loss: 0.4029 185/1081 [====>.........................] - ETA: 2:18 - loss: 278.6209 - logits_profile_predictions_loss: 274.3507 - logcount_predictions_loss: 0.4028 186/1081 [====>.........................] - ETA: 2:18 - loss: 278.6056 - logits_profile_predictions_loss: 274.3363 - logcount_predictions_loss: 0.4028 187/1081 [====>.........................] - ETA: 2:18 - loss: 278.5909 - logits_profile_predictions_loss: 274.3224 - logcount_predictions_loss: 0.4027 188/1081 [====>.........................] - ETA: 2:17 - loss: 278.5766 - logits_profile_predictions_loss: 274.3089 - logcount_predictions_loss: 0.4026 189/1081 [====>.........................] - ETA: 2:17 - loss: 278.5622 - logits_profile_predictions_loss: 274.2953 - logcount_predictions_loss: 0.4025 190/1081 [====>.........................] - ETA: 2:17 - loss: 278.5473 - logits_profile_predictions_loss: 274.2812 - logcount_predictions_loss: 0.4025 191/1081 [====>.........................] - ETA: 2:17 - loss: 278.5326 - logits_profile_predictions_loss: 274.2673 - logcount_predictions_loss: 0.4024 192/1081 [====>.........................] - ETA: 2:17 - loss: 278.5172 - logits_profile_predictions_loss: 274.2526 - logcount_predictions_loss: 0.4023 193/1081 [====>.........................] - ETA: 2:17 - loss: 278.5009 - logits_profile_predictions_loss: 274.2371 - logcount_predictions_loss: 0.4022 194/1081 [====>.........................] - ETA: 2:17 - loss: 278.4847 - logits_profile_predictions_loss: 274.2217 - logcount_predictions_loss: 0.4022 195/1081 [====>.........................] - ETA: 2:16 - loss: 278.4675 - logits_profile_predictions_loss: 274.2053 - logcount_predictions_loss: 0.4021 196/1081 [====>.........................] - ETA: 2:16 - loss: 278.4510 - logits_profile_predictions_loss: 274.1895 - logcount_predictions_loss: 0.4020 197/1081 [====>.........................] - ETA: 2:16 - loss: 278.4345 - logits_profile_predictions_loss: 274.1736 - logcount_predictions_loss: 0.4020 198/1081 [====>.........................] - ETA: 2:16 - loss: 278.4183 - logits_profile_predictions_loss: 274.1580 - logcount_predictions_loss: 0.4019 199/1081 [====>.........................] - ETA: 2:16 - loss: 278.4026 - logits_profile_predictions_loss: 274.1430 - logcount_predictions_loss: 0.4019 200/1081 [====>.........................] - ETA: 2:16 - loss: 278.3879 - logits_profile_predictions_loss: 274.1289 - logcount_predictions_loss: 0.4018 201/1081 [====>.........................] - ETA: 2:16 - loss: 278.3739 - logits_profile_predictions_loss: 274.1155 - logcount_predictions_loss: 0.4017 202/1081 [====>.........................] - ETA: 2:15 - loss: 278.3602 - logits_profile_predictions_loss: 274.1024 - logcount_predictions_loss: 0.4017 203/1081 [====>.........................] - ETA: 2:15 - loss: 278.3470 - logits_profile_predictions_loss: 274.0897 - logcount_predictions_loss: 0.4016 204/1081 [====>.........................] - ETA: 2:15 - loss: 278.3340 - logits_profile_predictions_loss: 274.0773 - logcount_predictions_loss: 0.4016 205/1081 [====>.........................] - ETA: 2:15 - loss: 278.3205 - logits_profile_predictions_loss: 274.0643 - logcount_predictions_loss: 0.4015 206/1081 [====>.........................] - ETA: 2:15 - loss: 278.3066 - 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[..............................] - ETA: 2:45 - loss: 285.2220 - logits_profile_predictions_loss: 281.5801 - logcount_predictions_loss: 0.3436 7/1081 [..............................] - ETA: 2:45 - loss: 284.5785 - logits_profile_predictions_loss: 280.9439 - logcount_predictions_loss: 0.3429 8/1081 [..............................] - ETA: 2:45 - loss: 284.0071 - logits_profile_predictions_loss: 280.3727 - logcount_predictions_loss: 0.3429 9/1081 [..............................] - ETA: 2:44 - loss: 283.6668 - logits_profile_predictions_loss: 280.0263 - logcount_predictions_loss: 0.3434 10/1081 [..............................] - ETA: 2:44 - loss: 283.1470 - logits_profile_predictions_loss: 279.5017 - logcount_predictions_loss: 0.3439 11/1081 [..............................] - ETA: 2:44 - loss: 282.6419 - logits_profile_predictions_loss: 278.9845 - logcount_predictions_loss: 0.3450 12/1081 [..............................] - ETA: 2:44 - loss: 281.9792 - logits_profile_predictions_loss: 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26/1081 [..............................] - ETA: 2:42 - loss: 279.5414 - logits_profile_predictions_loss: 275.7454 - logcount_predictions_loss: 0.3581 27/1081 [..............................] - ETA: 2:42 - loss: 279.5301 - logits_profile_predictions_loss: 275.7248 - logcount_predictions_loss: 0.3590 28/1081 [..............................] - ETA: 2:42 - loss: 279.5080 - logits_profile_predictions_loss: 275.6921 - logcount_predictions_loss: 0.3600 29/1081 [..............................] - ETA: 2:42 - loss: 279.4718 - logits_profile_predictions_loss: 275.6458 - logcount_predictions_loss: 0.3609 30/1081 [..............................] - ETA: 2:42 - loss: 279.4197 - logits_profile_predictions_loss: 275.5860 - logcount_predictions_loss: 0.3617 31/1081 [..............................] - ETA: 2:41 - loss: 279.3527 - logits_profile_predictions_loss: 275.5124 - logcount_predictions_loss: 0.3623 32/1081 [..............................] - ETA: 2:41 - loss: 279.2776 - logits_profile_predictions_loss: 275.4302 - logcount_predictions_loss: 0.3630 33/1081 [..............................] - ETA: 2:41 - loss: 279.2005 - logits_profile_predictions_loss: 275.3459 - logcount_predictions_loss: 0.3636 34/1081 [..............................] - ETA: 2:41 - loss: 279.1349 - logits_profile_predictions_loss: 275.2744 - logcount_predictions_loss: 0.3642 35/1081 [..............................] - ETA: 2:41 - loss: 279.0704 - logits_profile_predictions_loss: 275.2050 - logcount_predictions_loss: 0.3647 36/1081 [..............................] - ETA: 2:41 - loss: 279.0253 - logits_profile_predictions_loss: 275.1552 - logcount_predictions_loss: 0.3651 37/1081 [>.............................] - ETA: 2:40 - loss: 278.9847 - logits_profile_predictions_loss: 275.1108 - logcount_predictions_loss: 0.3655 38/1081 [>.............................] - ETA: 2:40 - loss: 278.9368 - logits_profile_predictions_loss: 275.0597 - logcount_predictions_loss: 0.3658 39/1081 [>.............................] - ETA: 2:40 - loss: 278.8711 - logits_profile_predictions_loss: 274.9913 - logcount_predictions_loss: 0.3660 40/1081 [>.............................] - ETA: 2:40 - loss: 278.7980 - logits_profile_predictions_loss: 274.9159 - logcount_predictions_loss: 0.3662 41/1081 [>.............................] - ETA: 2:40 - loss: 278.7177 - logits_profile_predictions_loss: 274.8329 - logcount_predictions_loss: 0.3665 42/1081 [>.............................] - ETA: 2:39 - loss: 278.6433 - logits_profile_predictions_loss: 274.7563 - logcount_predictions_loss: 0.3667 43/1081 [>.............................] - ETA: 2:39 - loss: 278.5746 - logits_profile_predictions_loss: 274.6855 - logcount_predictions_loss: 0.3669 44/1081 [>.............................] - ETA: 2:39 - loss: 278.5090 - logits_profile_predictions_loss: 274.6181 - logcount_predictions_loss: 0.3671 45/1081 [>.............................] - ETA: 2:39 - loss: 278.4469 - logits_profile_predictions_loss: 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[>.............................] - ETA: 2:35 - loss: 276.6867 - logits_profile_predictions_loss: 272.7876 - logcount_predictions_loss: 0.3678 73/1081 [=>............................] - ETA: 2:35 - loss: 276.6548 - logits_profile_predictions_loss: 272.7557 - logcount_predictions_loss: 0.3678 74/1081 [=>............................] - ETA: 2:34 - loss: 276.6254 - logits_profile_predictions_loss: 272.7265 - logcount_predictions_loss: 0.3678 75/1081 [=>............................] - ETA: 2:34 - loss: 276.5977 - logits_profile_predictions_loss: 272.6990 - logcount_predictions_loss: 0.3678 76/1081 [=>............................] - ETA: 2:34 - loss: 276.5775 - logits_profile_predictions_loss: 272.6792 - logcount_predictions_loss: 0.3678 77/1081 [=>............................] - ETA: 2:34 - loss: 276.5584 - logits_profile_predictions_loss: 272.6606 - logcount_predictions_loss: 0.3677 78/1081 [=>............................] - ETA: 2:34 - loss: 276.5379 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:30 - loss: 276.1296 - logits_profile_predictions_loss: 272.2428 - logcount_predictions_loss: 0.3667 106/1081 [=>............................] - ETA: 2:29 - loss: 276.1141 - logits_profile_predictions_loss: 272.2279 - logcount_predictions_loss: 0.3666 107/1081 [=>............................] - ETA: 2:29 - loss: 276.0986 - logits_profile_predictions_loss: 272.2131 - logcount_predictions_loss: 0.3666 108/1081 [=>............................] - ETA: 2:29 - loss: 276.0833 - logits_profile_predictions_loss: 272.1984 - logcount_predictions_loss: 0.3665 109/1081 [==>...........................] - ETA: 2:29 - loss: 276.0660 - logits_profile_predictions_loss: 272.1819 - logcount_predictions_loss: 0.3664 110/1081 [==>...........................] - ETA: 2:29 - loss: 276.0486 - logits_profile_predictions_loss: 272.1652 - logcount_predictions_loss: 0.3664 111/1081 [==>...........................] - ETA: 2:29 - loss: 276.0313 - 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[=====>........................] - ETA: 2:12 - loss: 274.9818 - logits_profile_predictions_loss: 271.1454 - logcount_predictions_loss: 0.3619 223/1081 [=====>........................] - ETA: 2:11 - loss: 274.9744 - logits_profile_predictions_loss: 271.1382 - logcount_predictions_loss: 0.3619 224/1081 [=====>........................] - ETA: 2:11 - loss: 274.9671 - logits_profile_predictions_loss: 271.1311 - logcount_predictions_loss: 0.3619 225/1081 [=====>........................] - ETA: 2:11 - loss: 274.9597 - logits_profile_predictions_loss: 271.1239 - logcount_predictions_loss: 0.3619 226/1081 [=====>........................] - ETA: 2:11 - loss: 274.9534 - logits_profile_predictions_loss: 271.1179 - logcount_predictions_loss: 0.3618 227/1081 [=====>........................] - ETA: 2:11 - loss: 274.9476 - logits_profile_predictions_loss: 271.1123 - logcount_predictions_loss: 0.3618 228/1081 [=====>........................] - ETA: 2:11 - loss: 274.9423 - logits_profile_predictions_loss: 271.1072 - logcount_predictions_loss: 0.3618 229/1081 [=====>........................] - ETA: 2:11 - loss: 274.9362 - logits_profile_predictions_loss: 271.1013 - logcount_predictions_loss: 0.3618 230/1081 [=====>........................] - ETA: 2:10 - loss: 274.9302 - logits_profile_predictions_loss: 271.0955 - logcount_predictions_loss: 0.3618 231/1081 [=====>........................] - ETA: 2:10 - loss: 274.9240 - logits_profile_predictions_loss: 271.0895 - logcount_predictions_loss: 0.3617 232/1081 [=====>........................] - ETA: 2:10 - loss: 274.9180 - logits_profile_predictions_loss: 271.0838 - logcount_predictions_loss: 0.3617 233/1081 [=====>........................] - ETA: 2:10 - loss: 274.9114 - logits_profile_predictions_loss: 271.0774 - logcount_predictions_loss: 0.3617 234/1081 [=====>........................] - ETA: 2:10 - loss: 274.9047 - logits_profile_predictions_loss: 271.0710 - logcount_predictions_loss: 0.3617 235/1081 [=====>........................] - ETA: 2:10 - loss: 274.8986 - logits_profile_predictions_loss: 271.0651 - logcount_predictions_loss: 0.3617 236/1081 [=====>........................] - ETA: 2:09 - loss: 274.8927 - logits_profile_predictions_loss: 271.0594 - logcount_predictions_loss: 0.3616 237/1081 [=====>........................] - ETA: 2:09 - loss: 274.8868 - logits_profile_predictions_loss: 271.0538 - logcount_predictions_loss: 0.3616 238/1081 [=====>........................] - ETA: 2:09 - loss: 274.8809 - logits_profile_predictions_loss: 271.0481 - logcount_predictions_loss: 0.3616 239/1081 [=====>........................] - ETA: 2:09 - loss: 274.8748 - logits_profile_predictions_loss: 271.0423 - logcount_predictions_loss: 0.3616 240/1081 [=====>........................] - ETA: 2:09 - loss: 274.8691 - logits_profile_predictions_loss: 271.0369 - logcount_predictions_loss: 0.3615 241/1081 [=====>........................] - ETA: 2:09 - loss: 274.8633 - logits_profile_predictions_loss: 271.0314 - logcount_predictions_loss: 0.3615 242/1081 [=====>........................] - ETA: 2:09 - loss: 274.8575 - logits_profile_predictions_loss: 271.0259 - logcount_predictions_loss: 0.3615 243/1081 [=====>........................] - ETA: 2:08 - loss: 274.8515 - logits_profile_predictions_loss: 271.0201 - logcount_predictions_loss: 0.3615 244/1081 [=====>........................] - ETA: 2:08 - loss: 274.8452 - logits_profile_predictions_loss: 271.0141 - logcount_predictions_loss: 0.3614 245/1081 [=====>........................] - ETA: 2:08 - loss: 274.8390 - logits_profile_predictions_loss: 271.0081 - logcount_predictions_loss: 0.3614 246/1081 [=====>........................] - ETA: 2:08 - loss: 274.8328 - logits_profile_predictions_loss: 271.0022 - logcount_predictions_loss: 0.3614 247/1081 [=====>........................] - ETA: 2:08 - loss: 274.8266 - logits_profile_predictions_loss: 270.9963 - logcount_predictions_loss: 0.3614 248/1081 [=====>........................] - ETA: 2:08 - loss: 274.8203 - logits_profile_predictions_loss: 270.9903 - logcount_predictions_loss: 0.3613 249/1081 [=====>........................] - ETA: 2:07 - loss: 274.8141 - logits_profile_predictions_loss: 270.9843 - logcount_predictions_loss: 0.3613 250/1081 [=====>........................] - ETA: 2:07 - loss: 274.8080 - logits_profile_predictions_loss: 270.9785 - logcount_predictions_loss: 0.3613 251/1081 [=====>........................] - ETA: 2:07 - loss: 274.8024 - logits_profile_predictions_loss: 270.9731 - logcount_predictions_loss: 0.3613 252/1081 [=====>........................] - ETA: 2:07 - loss: 274.7970 - logits_profile_predictions_loss: 270.9680 - logcount_predictions_loss: 0.3612 253/1081 [======>.......................] - ETA: 2:07 - loss: 274.7914 - logits_profile_predictions_loss: 270.9626 - logcount_predictions_loss: 0.3612 254/1081 [======>.......................] - ETA: 2:07 - loss: 274.7861 - 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logits_profile_predictions_loss: 268.1368 - logcount_predictions_loss: 0.3334 82/1081 [=>............................] - ETA: 2:33 - loss: 271.7224 - logits_profile_predictions_loss: 268.1885 - logcount_predictions_loss: 0.3334 83/1081 [=>............................] - ETA: 2:32 - loss: 271.7742 - logits_profile_predictions_loss: 268.2405 - logcount_predictions_loss: 0.3334 84/1081 [=>............................] - ETA: 2:32 - loss: 271.8276 - logits_profile_predictions_loss: 268.2941 - logcount_predictions_loss: 0.3334 85/1081 [=>............................] - ETA: 2:32 - loss: 271.8820 - logits_profile_predictions_loss: 268.3486 - logcount_predictions_loss: 0.3333 86/1081 [=>............................] - ETA: 2:32 - loss: 271.9347 - logits_profile_predictions_loss: 268.4014 - logcount_predictions_loss: 0.3333 87/1081 [=>............................] - ETA: 2:32 - loss: 271.9850 - logits_profile_predictions_loss: 268.4515 - logcount_predictions_loss: 0.3334 88/1081 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[=====>........................] - ETA: 2:11 - loss: 275.0894 - logits_profile_predictions_loss: 271.4843 - logcount_predictions_loss: 0.3401 226/1081 [=====>........................] - ETA: 2:11 - loss: 275.0952 - logits_profile_predictions_loss: 271.4898 - logcount_predictions_loss: 0.3401 227/1081 [=====>........................] - ETA: 2:10 - loss: 275.1011 - logits_profile_predictions_loss: 271.4954 - logcount_predictions_loss: 0.3402 228/1081 [=====>........................] - ETA: 2:10 - loss: 275.1067 - logits_profile_predictions_loss: 271.5005 - logcount_predictions_loss: 0.3402 229/1081 [=====>........................] - ETA: 2:10 - loss: 275.1126 - logits_profile_predictions_loss: 271.5061 - logcount_predictions_loss: 0.3402 230/1081 [=====>........................] - ETA: 2:10 - loss: 275.1184 - logits_profile_predictions_loss: 271.5115 - logcount_predictions_loss: 0.3403 231/1081 [=====>........................] - ETA: 2:10 - loss: 275.1243 - 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[=====>........................] - ETA: 2:09 - loss: 275.1642 - logits_profile_predictions_loss: 271.5541 - logcount_predictions_loss: 0.3406 239/1081 [=====>........................] - ETA: 2:09 - loss: 275.1691 - logits_profile_predictions_loss: 271.5586 - logcount_predictions_loss: 0.3406 240/1081 [=====>........................] - ETA: 2:08 - loss: 275.1735 - logits_profile_predictions_loss: 271.5626 - logcount_predictions_loss: 0.3407 241/1081 [=====>........................] - ETA: 2:08 - loss: 275.1782 - logits_profile_predictions_loss: 271.5670 - logcount_predictions_loss: 0.3407 242/1081 [=====>........................] - ETA: 2:08 - loss: 275.1822 - logits_profile_predictions_loss: 271.5706 - logcount_predictions_loss: 0.3407 243/1081 [=====>........................] - ETA: 2:08 - loss: 275.1862 - logits_profile_predictions_loss: 271.5742 - logcount_predictions_loss: 0.3408 244/1081 [=====>........................] - ETA: 2:08 - loss: 275.1900 - 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[=====>........................] - ETA: 2:07 - loss: 275.2150 - logits_profile_predictions_loss: 271.6004 - logcount_predictions_loss: 0.3410 252/1081 [=====>........................] - ETA: 2:07 - loss: 275.2184 - logits_profile_predictions_loss: 271.6035 - logcount_predictions_loss: 0.3410 253/1081 [======>.......................] - ETA: 2:06 - loss: 275.2216 - logits_profile_predictions_loss: 271.6063 - logcount_predictions_loss: 0.3411 254/1081 [======>.......................] - ETA: 2:06 - loss: 275.2244 - logits_profile_predictions_loss: 271.6088 - logcount_predictions_loss: 0.3411 255/1081 [======>.......................] - ETA: 2:06 - loss: 275.2272 - logits_profile_predictions_loss: 271.6113 - logcount_predictions_loss: 0.3411 256/1081 [======>.......................] - ETA: 2:06 - loss: 275.2302 - logits_profile_predictions_loss: 271.6139 - logcount_predictions_loss: 0.3412 257/1081 [======>.......................] - ETA: 2:06 - loss: 275.2329 - 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[======>.......................] - ETA: 2:05 - loss: 275.2495 - logits_profile_predictions_loss: 271.6309 - logcount_predictions_loss: 0.3414 265/1081 [======>.......................] - ETA: 2:05 - loss: 275.2511 - logits_profile_predictions_loss: 271.6323 - logcount_predictions_loss: 0.3414 266/1081 [======>.......................] - ETA: 2:04 - loss: 275.2527 - logits_profile_predictions_loss: 271.6337 - logcount_predictions_loss: 0.3414 267/1081 [======>.......................] - ETA: 2:04 - loss: 275.2542 - logits_profile_predictions_loss: 271.6350 - logcount_predictions_loss: 0.3414 268/1081 [======>.......................] - ETA: 2:04 - loss: 275.2558 - logits_profile_predictions_loss: 271.6364 - logcount_predictions_loss: 0.3415 269/1081 [======>.......................] - ETA: 2:04 - loss: 275.2572 - logits_profile_predictions_loss: 271.6376 - logcount_predictions_loss: 0.3415 270/1081 [======>.......................] - ETA: 2:04 - loss: 275.2593 - 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[=======>......................] - ETA: 2:01 - loss: 275.2953 - logits_profile_predictions_loss: 271.6715 - logcount_predictions_loss: 0.3419 291/1081 [=======>......................] - ETA: 2:01 - loss: 275.2965 - logits_profile_predictions_loss: 271.6725 - logcount_predictions_loss: 0.3419 292/1081 [=======>......................] - ETA: 2:00 - loss: 275.2975 - logits_profile_predictions_loss: 271.6733 - logcount_predictions_loss: 0.3419 293/1081 [=======>......................] - ETA: 2:00 - loss: 275.2981 - logits_profile_predictions_loss: 271.6737 - logcount_predictions_loss: 0.3419 294/1081 [=======>......................] - ETA: 2:00 - loss: 275.2990 - logits_profile_predictions_loss: 271.6744 - logcount_predictions_loss: 0.3420 295/1081 [=======>......................] - ETA: 2:00 - loss: 275.2997 - logits_profile_predictions_loss: 271.6749 - logcount_predictions_loss: 0.3420 296/1081 [=======>......................] - ETA: 2:00 - loss: 275.3006 - 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[=>............................] - ETA: 2:30 - loss: 271.8728 - logits_profile_predictions_loss: 268.1814 - logcount_predictions_loss: 0.3483 105/1081 [=>............................] - ETA: 2:30 - loss: 271.8617 - logits_profile_predictions_loss: 268.1710 - logcount_predictions_loss: 0.3482 106/1081 [=>............................] - ETA: 2:30 - loss: 271.8498 - logits_profile_predictions_loss: 268.1600 - logcount_predictions_loss: 0.3481 107/1081 [=>............................] - ETA: 2:30 - loss: 271.8389 - logits_profile_predictions_loss: 268.1499 - logcount_predictions_loss: 0.3480 108/1081 [=>............................] - ETA: 2:30 - loss: 271.8261 - logits_profile_predictions_loss: 268.1378 - logcount_predictions_loss: 0.3479 109/1081 [==>...........................] - ETA: 2:29 - loss: 271.8139 - logits_profile_predictions_loss: 268.1264 - logcount_predictions_loss: 0.3479 110/1081 [==>...........................] - ETA: 2:29 - loss: 271.8024 - 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[==>...........................] - ETA: 2:28 - loss: 271.7393 - logits_profile_predictions_loss: 268.0584 - logcount_predictions_loss: 0.3473 118/1081 [==>...........................] - ETA: 2:28 - loss: 271.7354 - logits_profile_predictions_loss: 268.0553 - logcount_predictions_loss: 0.3472 119/1081 [==>...........................] - ETA: 2:28 - loss: 271.7311 - logits_profile_predictions_loss: 268.0518 - logcount_predictions_loss: 0.3471 120/1081 [==>...........................] - ETA: 2:28 - loss: 271.7266 - logits_profile_predictions_loss: 268.0480 - logcount_predictions_loss: 0.3470 121/1081 [==>...........................] - ETA: 2:27 - loss: 271.7218 - logits_profile_predictions_loss: 268.0439 - logcount_predictions_loss: 0.3470 122/1081 [==>...........................] - ETA: 2:27 - loss: 271.7179 - logits_profile_predictions_loss: 268.0408 - logcount_predictions_loss: 0.3469 123/1081 [==>...........................] - ETA: 2:27 - loss: 271.7139 - logits_profile_predictions_loss: 268.0376 - logcount_predictions_loss: 0.3468 124/1081 [==>...........................] - ETA: 2:27 - loss: 271.7112 - logits_profile_predictions_loss: 268.0356 - logcount_predictions_loss: 0.3468 125/1081 [==>...........................] - ETA: 2:27 - loss: 271.7083 - logits_profile_predictions_loss: 268.0335 - logcount_predictions_loss: 0.3467 126/1081 [==>...........................] - ETA: 2:27 - loss: 271.7061 - logits_profile_predictions_loss: 268.0319 - logcount_predictions_loss: 0.3466 127/1081 [==>...........................] - ETA: 2:27 - loss: 271.7026 - logits_profile_predictions_loss: 268.0291 - logcount_predictions_loss: 0.3466 128/1081 [==>...........................] - ETA: 2:26 - loss: 271.6980 - logits_profile_predictions_loss: 268.0251 - logcount_predictions_loss: 0.3465 129/1081 [==>...........................] - ETA: 2:26 - loss: 271.6941 - logits_profile_predictions_loss: 268.0218 - logcount_predictions_loss: 0.3464 130/1081 [==>...........................] - ETA: 2:26 - loss: 271.6895 - logits_profile_predictions_loss: 268.0178 - logcount_predictions_loss: 0.3464 131/1081 [==>...........................] - ETA: 2:26 - loss: 271.6864 - logits_profile_predictions_loss: 268.0153 - logcount_predictions_loss: 0.3463 132/1081 [==>...........................] - ETA: 2:26 - loss: 271.6839 - logits_profile_predictions_loss: 268.0133 - logcount_predictions_loss: 0.3463 133/1081 [==>...........................] - ETA: 2:26 - loss: 271.6806 - logits_profile_predictions_loss: 268.0104 - logcount_predictions_loss: 0.3462 134/1081 [==>...........................] - ETA: 2:25 - loss: 271.6772 - logits_profile_predictions_loss: 268.0075 - logcount_predictions_loss: 0.3462 135/1081 [==>...........................] - ETA: 2:25 - loss: 271.6757 - logits_profile_predictions_loss: 268.0065 - logcount_predictions_loss: 0.3462 136/1081 [==>...........................] - ETA: 2:25 - loss: 271.6751 - logits_profile_predictions_loss: 268.0064 - logcount_predictions_loss: 0.3461 137/1081 [==>...........................] - ETA: 2:25 - loss: 271.6741 - logits_profile_predictions_loss: 268.0059 - logcount_predictions_loss: 0.3461 138/1081 [==>...........................] - ETA: 2:25 - loss: 271.6722 - logits_profile_predictions_loss: 268.0045 - logcount_predictions_loss: 0.3460 139/1081 [==>...........................] - ETA: 2:25 - loss: 271.6685 - logits_profile_predictions_loss: 268.0013 - logcount_predictions_loss: 0.3460 140/1081 [==>...........................] - ETA: 2:25 - loss: 271.6658 - logits_profile_predictions_loss: 267.9989 - logcount_predictions_loss: 0.3459 141/1081 [==>...........................] - ETA: 2:24 - loss: 271.6621 - logits_profile_predictions_loss: 267.9956 - logcount_predictions_loss: 0.3459 142/1081 [==>...........................] - ETA: 2:24 - loss: 271.6582 - logits_profile_predictions_loss: 267.9920 - logcount_predictions_loss: 0.3459 143/1081 [==>...........................] - ETA: 2:24 - loss: 271.6539 - logits_profile_predictions_loss: 267.9881 - logcount_predictions_loss: 0.3458 144/1081 [==>...........................] - ETA: 2:24 - loss: 271.6504 - logits_profile_predictions_loss: 267.9849 - logcount_predictions_loss: 0.3458 145/1081 [===>..........................] - ETA: 2:24 - loss: 271.6481 - logits_profile_predictions_loss: 267.9830 - logcount_predictions_loss: 0.3458 146/1081 [===>..........................] - ETA: 2:24 - loss: 271.6447 - logits_profile_predictions_loss: 267.9800 - logcount_predictions_loss: 0.3457 147/1081 [===>..........................] - ETA: 2:23 - loss: 271.6415 - logits_profile_predictions_loss: 267.9772 - logcount_predictions_loss: 0.3457 148/1081 [===>..........................] - ETA: 2:23 - loss: 271.6388 - logits_profile_predictions_loss: 267.9747 - logcount_predictions_loss: 0.3457 149/1081 [===>..........................] - ETA: 2:23 - loss: 271.6372 - logits_profile_predictions_loss: 267.9734 - logcount_predictions_loss: 0.3456 150/1081 [===>..........................] - ETA: 2:23 - loss: 271.6339 - logits_profile_predictions_loss: 267.9704 - logcount_predictions_loss: 0.3456 151/1081 [===>..........................] - ETA: 2:23 - loss: 271.6310 - logits_profile_predictions_loss: 267.9678 - logcount_predictions_loss: 0.3456 152/1081 [===>..........................] - ETA: 2:23 - loss: 271.6288 - logits_profile_predictions_loss: 267.9659 - logcount_predictions_loss: 0.3456 153/1081 [===>..........................] - ETA: 2:23 - loss: 271.6270 - logits_profile_predictions_loss: 267.9644 - logcount_predictions_loss: 0.3455 154/1081 [===>..........................] - ETA: 2:22 - loss: 271.6253 - logits_profile_predictions_loss: 267.9631 - logcount_predictions_loss: 0.3455 155/1081 [===>..........................] - ETA: 2:22 - loss: 271.6241 - logits_profile_predictions_loss: 267.9621 - logcount_predictions_loss: 0.3455 156/1081 [===>..........................] - ETA: 2:22 - loss: 271.6222 - logits_profile_predictions_loss: 267.9606 - logcount_predictions_loss: 0.3454 157/1081 [===>..........................] - ETA: 2:22 - loss: 271.6194 - logits_profile_predictions_loss: 267.9581 - logcount_predictions_loss: 0.3454 158/1081 [===>..........................] - ETA: 2:22 - loss: 271.6162 - logits_profile_predictions_loss: 267.9552 - logcount_predictions_loss: 0.3454 159/1081 [===>..........................] - ETA: 2:22 - loss: 271.6117 - logits_profile_predictions_loss: 267.9510 - logcount_predictions_loss: 0.3454 160/1081 [===>..........................] - ETA: 2:21 - loss: 271.6069 - logits_profile_predictions_loss: 267.9465 - logcount_predictions_loss: 0.3453 161/1081 [===>..........................] - ETA: 2:21 - loss: 271.6029 - logits_profile_predictions_loss: 267.9427 - logcount_predictions_loss: 0.3453 162/1081 [===>..........................] - ETA: 2:21 - loss: 271.5993 - 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[===>..........................] - ETA: 2:20 - loss: 271.5709 - logits_profile_predictions_loss: 267.9122 - logcount_predictions_loss: 0.3452 170/1081 [===>..........................] - ETA: 2:20 - loss: 271.5676 - logits_profile_predictions_loss: 267.9090 - logcount_predictions_loss: 0.3451 171/1081 [===>..........................] - ETA: 2:20 - loss: 271.5650 - logits_profile_predictions_loss: 267.9067 - logcount_predictions_loss: 0.3451 172/1081 [===>..........................] - ETA: 2:20 - loss: 271.5624 - logits_profile_predictions_loss: 267.9042 - logcount_predictions_loss: 0.3451 173/1081 [===>..........................] - ETA: 2:20 - loss: 271.5602 - logits_profile_predictions_loss: 267.9021 - logcount_predictions_loss: 0.3451 174/1081 [===>..........................] - ETA: 2:19 - loss: 271.5576 - logits_profile_predictions_loss: 267.8997 - logcount_predictions_loss: 0.3451 175/1081 [===>..........................] - ETA: 2:19 - loss: 271.5552 - 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[====>.........................] - ETA: 2:18 - loss: 271.5378 - logits_profile_predictions_loss: 267.8808 - logcount_predictions_loss: 0.3450 183/1081 [====>.........................] - ETA: 2:18 - loss: 271.5359 - logits_profile_predictions_loss: 267.8790 - logcount_predictions_loss: 0.3450 184/1081 [====>.........................] - ETA: 2:18 - loss: 271.5342 - logits_profile_predictions_loss: 267.8774 - logcount_predictions_loss: 0.3450 185/1081 [====>.........................] - ETA: 2:18 - loss: 271.5322 - logits_profile_predictions_loss: 267.8755 - logcount_predictions_loss: 0.3450 186/1081 [====>.........................] - ETA: 2:18 - loss: 271.5304 - logits_profile_predictions_loss: 267.8738 - logcount_predictions_loss: 0.3450 187/1081 [====>.........................] - ETA: 2:17 - loss: 271.5292 - logits_profile_predictions_loss: 267.8727 - logcount_predictions_loss: 0.3450 188/1081 [====>.........................] - ETA: 2:17 - loss: 271.5277 - 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[====>.........................] - ETA: 2:16 - loss: 271.5162 - logits_profile_predictions_loss: 267.8612 - logcount_predictions_loss: 0.3448 196/1081 [====>.........................] - ETA: 2:16 - loss: 271.5147 - logits_profile_predictions_loss: 267.8599 - logcount_predictions_loss: 0.3448 197/1081 [====>.........................] - ETA: 2:16 - loss: 271.5129 - logits_profile_predictions_loss: 267.8583 - logcount_predictions_loss: 0.3448 198/1081 [====>.........................] - ETA: 2:16 - loss: 271.5115 - logits_profile_predictions_loss: 267.8572 - logcount_predictions_loss: 0.3448 199/1081 [====>.........................] - ETA: 2:16 - loss: 271.5105 - logits_profile_predictions_loss: 267.8563 - logcount_predictions_loss: 0.3447 200/1081 [====>.........................] - ETA: 2:15 - loss: 271.5098 - logits_profile_predictions_loss: 267.8559 - logcount_predictions_loss: 0.3447 201/1081 [====>.........................] - ETA: 2:15 - loss: 271.5096 - 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[====>.........................] - ETA: 2:14 - loss: 271.5083 - logits_profile_predictions_loss: 267.8559 - logcount_predictions_loss: 0.3446 209/1081 [====>.........................] - ETA: 2:14 - loss: 271.5076 - logits_profile_predictions_loss: 267.8554 - logcount_predictions_loss: 0.3446 210/1081 [====>.........................] - ETA: 2:14 - loss: 271.5072 - logits_profile_predictions_loss: 267.8552 - logcount_predictions_loss: 0.3445 211/1081 [====>.........................] - ETA: 2:14 - loss: 271.5065 - logits_profile_predictions_loss: 267.8546 - logcount_predictions_loss: 0.3445 212/1081 [====>.........................] - ETA: 2:14 - loss: 271.5062 - logits_profile_predictions_loss: 267.8545 - logcount_predictions_loss: 0.3445 213/1081 [====>.........................] - ETA: 2:13 - loss: 271.5058 - logits_profile_predictions_loss: 267.8542 - logcount_predictions_loss: 0.3445 214/1081 [====>.........................] - ETA: 2:13 - loss: 271.5050 - 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logits_profile_predictions_loss: 268.4120 - logcount_predictions_loss: 0.3402 1079/1081 [============================>.] - ETA: 0s - loss: 272.0178 - logits_profile_predictions_loss: 268.4120 - logcount_predictions_loss: 0.3402 1080/1081 [============================>.] - ETA: 0s - loss: 272.0178 - logits_profile_predictions_loss: 268.4120 - logcount_predictions_loss: 0.3402 1081/1081 [==============================] - ETA: 0s - loss: 272.0178 - logits_profile_predictions_loss: 268.4120 - logcount_predictions_loss: 0.3402 1081/1081 [==============================] - 174s 161ms/step - loss: 272.0178 - logits_profile_predictions_loss: 268.4121 - logcount_predictions_loss: 0.3402 - val_loss: 281.8504 - val_logits_profile_predictions_loss: 278.3852 - val_logcount_predictions_loss: 0.3269 + +Epoch 00006: val_loss improved from 282.21521 to 281.85043, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/chrombpnet.h5 +Epoch 7/50 + 1/1081 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- logcount_predictions_loss: 0.2837 8/1081 [..............................] - ETA: 2:45 - loss: 277.3718 - logits_profile_predictions_loss: 274.3358 - logcount_predictions_loss: 0.2864 9/1081 [..............................] - ETA: 2:45 - loss: 276.5527 - logits_profile_predictions_loss: 273.4953 - logcount_predictions_loss: 0.2884 10/1081 [..............................] - ETA: 2:45 - loss: 276.2009 - logits_profile_predictions_loss: 273.1124 - logcount_predictions_loss: 0.2914 11/1081 [..............................] - ETA: 2:45 - loss: 276.0031 - logits_profile_predictions_loss: 272.8954 - logcount_predictions_loss: 0.2932 12/1081 [..............................] - ETA: 2:45 - loss: 275.8915 - logits_profile_predictions_loss: 272.7631 - logcount_predictions_loss: 0.2951 13/1081 [..............................] - ETA: 2:44 - loss: 275.8309 - logits_profile_predictions_loss: 272.6832 - logcount_predictions_loss: 0.2969 14/1081 [..............................] - ETA: 2:44 - loss: 275.8163 - logits_profile_predictions_loss: 272.6567 - logcount_predictions_loss: 0.2981 15/1081 [..............................] - ETA: 2:44 - loss: 275.6105 - logits_profile_predictions_loss: 272.4400 - logcount_predictions_loss: 0.2991 16/1081 [..............................] - ETA: 2:44 - loss: 275.4320 - logits_profile_predictions_loss: 272.2521 - logcount_predictions_loss: 0.3000 17/1081 [..............................] - ETA: 2:44 - loss: 275.1978 - logits_profile_predictions_loss: 272.0068 - logcount_predictions_loss: 0.3010 18/1081 [..............................] - ETA: 2:44 - loss: 274.9876 - logits_profile_predictions_loss: 271.7859 - logcount_predictions_loss: 0.3020 19/1081 [..............................] - ETA: 2:43 - loss: 274.7210 - logits_profile_predictions_loss: 271.5130 - logcount_predictions_loss: 0.3026 20/1081 [..............................] - ETA: 2:43 - loss: 274.4453 - logits_profile_predictions_loss: 271.2305 - logcount_predictions_loss: 0.3033 21/1081 [..............................] - ETA: 2:43 - loss: 274.2277 - logits_profile_predictions_loss: 271.0074 - logcount_predictions_loss: 0.3038 22/1081 [..............................] - ETA: 2:43 - loss: 274.0551 - logits_profile_predictions_loss: 270.8279 - logcount_predictions_loss: 0.3045 23/1081 [..............................] - ETA: 2:43 - loss: 273.9098 - logits_profile_predictions_loss: 270.6744 - logcount_predictions_loss: 0.3052 24/1081 [..............................] - ETA: 2:42 - loss: 273.7348 - logits_profile_predictions_loss: 270.4907 - logcount_predictions_loss: 0.3060 25/1081 [..............................] - ETA: 2:42 - loss: 273.6304 - logits_profile_predictions_loss: 270.3766 - logcount_predictions_loss: 0.3070 26/1081 [..............................] - ETA: 2:42 - loss: 273.5080 - logits_profile_predictions_loss: 270.2455 - logcount_predictions_loss: 0.3078 27/1081 [..............................] - ETA: 2:42 - loss: 273.3892 - logits_profile_predictions_loss: 270.1182 - logcount_predictions_loss: 0.3086 28/1081 [..............................] - ETA: 2:42 - loss: 273.2575 - logits_profile_predictions_loss: 269.9792 - logcount_predictions_loss: 0.3093 29/1081 [..............................] - ETA: 2:42 - loss: 273.1715 - logits_profile_predictions_loss: 269.8859 - logcount_predictions_loss: 0.3100 30/1081 [..............................] - ETA: 2:41 - loss: 273.1005 - logits_profile_predictions_loss: 269.8091 - logcount_predictions_loss: 0.3105 31/1081 [..............................] - ETA: 2:41 - loss: 273.0236 - logits_profile_predictions_loss: 269.7258 - logcount_predictions_loss: 0.3111 32/1081 [..............................] - ETA: 2:41 - loss: 272.9820 - logits_profile_predictions_loss: 269.6777 - logcount_predictions_loss: 0.3117 33/1081 [..............................] - ETA: 2:41 - loss: 272.9436 - logits_profile_predictions_loss: 269.6338 - logcount_predictions_loss: 0.3122 34/1081 [..............................] - ETA: 2:41 - loss: 272.9150 - logits_profile_predictions_loss: 269.5991 - logcount_predictions_loss: 0.3128 35/1081 [..............................] - ETA: 2:41 - loss: 272.8921 - logits_profile_predictions_loss: 269.5691 - logcount_predictions_loss: 0.3135 36/1081 [..............................] - ETA: 2:41 - loss: 272.8837 - logits_profile_predictions_loss: 269.5533 - logcount_predictions_loss: 0.3142 37/1081 [>.............................] - ETA: 2:40 - loss: 272.8634 - logits_profile_predictions_loss: 269.5257 - logcount_predictions_loss: 0.3149 38/1081 [>.............................] - ETA: 2:40 - loss: 272.8429 - logits_profile_predictions_loss: 269.4986 - logcount_predictions_loss: 0.3155 39/1081 [>.............................] - ETA: 2:40 - loss: 272.8103 - logits_profile_predictions_loss: 269.4599 - logcount_predictions_loss: 0.3161 40/1081 [>.............................] - ETA: 2:40 - loss: 272.7720 - logits_profile_predictions_loss: 269.4156 - logcount_predictions_loss: 0.3166 41/1081 [>.............................] - ETA: 2:40 - loss: 272.7450 - logits_profile_predictions_loss: 269.3826 - logcount_predictions_loss: 0.3172 42/1081 [>.............................] - ETA: 2:40 - loss: 272.7286 - logits_profile_predictions_loss: 269.3605 - logcount_predictions_loss: 0.3177 43/1081 [>.............................] - ETA: 2:39 - loss: 272.7031 - logits_profile_predictions_loss: 269.3296 - logcount_predictions_loss: 0.3183 44/1081 [>.............................] - ETA: 2:39 - loss: 272.6772 - logits_profile_predictions_loss: 269.2986 - logcount_predictions_loss: 0.3187 45/1081 [>.............................] - ETA: 2:39 - loss: 272.6465 - logits_profile_predictions_loss: 269.2631 - logcount_predictions_loss: 0.3192 46/1081 [>.............................] - ETA: 2:39 - loss: 272.6220 - logits_profile_predictions_loss: 269.2337 - logcount_predictions_loss: 0.3196 47/1081 [>.............................] - ETA: 2:39 - loss: 272.5943 - logits_profile_predictions_loss: 269.2014 - logcount_predictions_loss: 0.3201 48/1081 [>.............................] - ETA: 2:39 - loss: 272.5777 - logits_profile_predictions_loss: 269.1798 - logcount_predictions_loss: 0.3206 49/1081 [>.............................] - ETA: 2:39 - loss: 272.5440 - logits_profile_predictions_loss: 269.1419 - logcount_predictions_loss: 0.3210 50/1081 [>.............................] - ETA: 2:38 - loss: 272.5063 - logits_profile_predictions_loss: 269.1001 - logcount_predictions_loss: 0.3213 51/1081 [>.............................] - ETA: 2:38 - loss: 272.4820 - logits_profile_predictions_loss: 269.0717 - logcount_predictions_loss: 0.3217 52/1081 [>.............................] - ETA: 2:38 - loss: 272.4533 - logits_profile_predictions_loss: 269.0388 - logcount_predictions_loss: 0.3221 53/1081 [>.............................] - ETA: 2:38 - loss: 272.4494 - logits_profile_predictions_loss: 269.0308 - logcount_predictions_loss: 0.3225 54/1081 [>.............................] - ETA: 2:38 - loss: 272.4386 - logits_profile_predictions_loss: 269.0162 - logcount_predictions_loss: 0.3229 55/1081 [>.............................] - ETA: 2:38 - loss: 272.4223 - logits_profile_predictions_loss: 268.9964 - logcount_predictions_loss: 0.3232 56/1081 [>.............................] - ETA: 2:38 - loss: 272.4193 - logits_profile_predictions_loss: 268.9901 - logcount_predictions_loss: 0.3235 57/1081 [>.............................] - ETA: 2:37 - loss: 272.4135 - logits_profile_predictions_loss: 268.9809 - logcount_predictions_loss: 0.3238 58/1081 [>.............................] - ETA: 2:37 - loss: 272.4090 - logits_profile_predictions_loss: 268.9733 - logcount_predictions_loss: 0.3241 59/1081 [>.............................] - ETA: 2:37 - loss: 272.4019 - logits_profile_predictions_loss: 268.9632 - logcount_predictions_loss: 0.3244 60/1081 [>.............................] - ETA: 2:37 - loss: 272.3988 - logits_profile_predictions_loss: 268.9572 - logcount_predictions_loss: 0.3247 61/1081 [>.............................] - ETA: 2:37 - loss: 272.3966 - logits_profile_predictions_loss: 268.9522 - logcount_predictions_loss: 0.3249 62/1081 [>.............................] - ETA: 2:37 - loss: 272.4012 - logits_profile_predictions_loss: 268.9542 - logcount_predictions_loss: 0.3252 63/1081 [>.............................] - ETA: 2:36 - loss: 272.4027 - logits_profile_predictions_loss: 268.9532 - logcount_predictions_loss: 0.3254 64/1081 [>.............................] - ETA: 2:36 - loss: 272.4057 - logits_profile_predictions_loss: 268.9541 - logcount_predictions_loss: 0.3256 65/1081 [>.............................] - ETA: 2:36 - loss: 272.4115 - logits_profile_predictions_loss: 268.9577 - logcount_predictions_loss: 0.3258 66/1081 [>.............................] - ETA: 2:36 - loss: 272.4231 - logits_profile_predictions_loss: 268.9672 - logcount_predictions_loss: 0.3260 67/1081 [>.............................] - ETA: 2:36 - loss: 272.4351 - logits_profile_predictions_loss: 268.9773 - logcount_predictions_loss: 0.3262 68/1081 [>.............................] - ETA: 2:36 - loss: 272.4412 - logits_profile_predictions_loss: 268.9815 - logcount_predictions_loss: 0.3264 69/1081 [>.............................] - ETA: 2:36 - loss: 272.4452 - logits_profile_predictions_loss: 268.9833 - logcount_predictions_loss: 0.3266 70/1081 [>.............................] - ETA: 2:35 - loss: 272.4481 - logits_profile_predictions_loss: 268.9841 - logcount_predictions_loss: 0.3268 71/1081 [>.............................] - ETA: 2:35 - loss: 272.4532 - logits_profile_predictions_loss: 268.9871 - logcount_predictions_loss: 0.3270 72/1081 [>.............................] - ETA: 2:35 - loss: 272.4602 - logits_profile_predictions_loss: 268.9920 - logcount_predictions_loss: 0.3272 73/1081 [=>............................] - ETA: 2:35 - loss: 272.4709 - logits_profile_predictions_loss: 269.0006 - logcount_predictions_loss: 0.3274 74/1081 [=>............................] - ETA: 2:35 - loss: 272.4776 - logits_profile_predictions_loss: 269.0050 - logcount_predictions_loss: 0.3276 75/1081 [=>............................] - ETA: 2:35 - loss: 272.4823 - logits_profile_predictions_loss: 269.0076 - logcount_predictions_loss: 0.3278 76/1081 [=>............................] - ETA: 2:34 - loss: 272.4835 - logits_profile_predictions_loss: 269.0066 - logcount_predictions_loss: 0.3280 77/1081 [=>............................] - ETA: 2:34 - loss: 272.4839 - logits_profile_predictions_loss: 269.0048 - logcount_predictions_loss: 0.3282 78/1081 [=>............................] - ETA: 2:34 - loss: 272.4856 - logits_profile_predictions_loss: 269.0045 - logcount_predictions_loss: 0.3284 79/1081 [=>............................] - ETA: 2:34 - loss: 272.4854 - logits_profile_predictions_loss: 269.0024 - logcount_predictions_loss: 0.3286 80/1081 [=>............................] - ETA: 2:34 - loss: 272.4864 - logits_profile_predictions_loss: 269.0015 - logcount_predictions_loss: 0.3288 81/1081 [=>............................] - ETA: 2:34 - loss: 272.4853 - logits_profile_predictions_loss: 268.9985 - logcount_predictions_loss: 0.3289 82/1081 [=>............................] - ETA: 2:33 - loss: 272.4884 - logits_profile_predictions_loss: 268.9999 - logcount_predictions_loss: 0.3291 83/1081 [=>............................] - ETA: 2:33 - loss: 272.4893 - logits_profile_predictions_loss: 268.9991 - logcount_predictions_loss: 0.3293 84/1081 [=>............................] - ETA: 2:33 - loss: 272.4885 - logits_profile_predictions_loss: 268.9968 - logcount_predictions_loss: 0.3294 85/1081 [=>............................] - ETA: 2:33 - loss: 272.4894 - logits_profile_predictions_loss: 268.9963 - logcount_predictions_loss: 0.3295 86/1081 [=>............................] - ETA: 2:33 - loss: 272.4897 - logits_profile_predictions_loss: 268.9951 - logcount_predictions_loss: 0.3297 87/1081 [=>............................] - ETA: 2:33 - loss: 272.4919 - logits_profile_predictions_loss: 268.9958 - logcount_predictions_loss: 0.3298 88/1081 [=>............................] - ETA: 2:33 - loss: 272.4924 - logits_profile_predictions_loss: 268.9947 - logcount_predictions_loss: 0.3300 89/1081 [=>............................] - ETA: 2:32 - loss: 272.4931 - logits_profile_predictions_loss: 268.9940 - logcount_predictions_loss: 0.3301 90/1081 [=>............................] - ETA: 2:32 - loss: 272.4935 - logits_profile_predictions_loss: 268.9929 - logcount_predictions_loss: 0.3302 91/1081 [=>............................] - ETA: 2:32 - loss: 272.4942 - logits_profile_predictions_loss: 268.9924 - logcount_predictions_loss: 0.3304 92/1081 [=>............................] - ETA: 2:32 - loss: 272.4942 - logits_profile_predictions_loss: 268.9913 - logcount_predictions_loss: 0.3305 93/1081 [=>............................] - ETA: 2:32 - loss: 272.4945 - logits_profile_predictions_loss: 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loss: 272.4895 - logits_profile_predictions_loss: 268.9795 - logcount_predictions_loss: 0.3311 101/1081 [=>............................] - ETA: 2:30 - loss: 272.4864 - logits_profile_predictions_loss: 268.9757 - logcount_predictions_loss: 0.3312 102/1081 [=>............................] - ETA: 2:30 - loss: 272.4831 - logits_profile_predictions_loss: 268.9717 - logcount_predictions_loss: 0.3313 103/1081 [=>............................] - ETA: 2:30 - loss: 272.4804 - logits_profile_predictions_loss: 268.9683 - logcount_predictions_loss: 0.3313 104/1081 [=>............................] - ETA: 2:30 - loss: 272.4781 - logits_profile_predictions_loss: 268.9653 - logcount_predictions_loss: 0.3314 105/1081 [=>............................] - ETA: 2:30 - loss: 272.4764 - logits_profile_predictions_loss: 268.9630 - logcount_predictions_loss: 0.3315 106/1081 [=>............................] - ETA: 2:30 - loss: 272.4718 - logits_profile_predictions_loss: 268.9577 - logcount_predictions_loss: 0.3315 107/1081 [=>............................] - ETA: 2:30 - loss: 272.4668 - logits_profile_predictions_loss: 268.9519 - logcount_predictions_loss: 0.3316 108/1081 [=>............................] - ETA: 2:29 - loss: 272.4628 - logits_profile_predictions_loss: 268.9473 - logcount_predictions_loss: 0.3317 109/1081 [==>...........................] - ETA: 2:29 - loss: 272.4592 - logits_profile_predictions_loss: 268.9431 - logcount_predictions_loss: 0.3317 110/1081 [==>...........................] - ETA: 2:29 - loss: 272.4582 - logits_profile_predictions_loss: 268.9416 - logcount_predictions_loss: 0.3318 111/1081 [==>...........................] - ETA: 2:29 - loss: 272.4559 - logits_profile_predictions_loss: 268.9387 - logcount_predictions_loss: 0.3318 112/1081 [==>...........................] - ETA: 2:29 - loss: 272.4535 - logits_profile_predictions_loss: 268.9356 - logcount_predictions_loss: 0.3319 113/1081 [==>...........................] - ETA: 2:29 - loss: 272.4496 - logits_profile_predictions_loss: 268.9311 - logcount_predictions_loss: 0.3319 114/1081 [==>...........................] - ETA: 2:28 - loss: 272.4454 - logits_profile_predictions_loss: 268.9263 - logcount_predictions_loss: 0.3320 115/1081 [==>...........................] - ETA: 2:28 - loss: 272.4408 - logits_profile_predictions_loss: 268.9210 - logcount_predictions_loss: 0.3321 116/1081 [==>...........................] - ETA: 2:28 - loss: 272.4352 - logits_profile_predictions_loss: 268.9147 - logcount_predictions_loss: 0.3321 117/1081 [==>...........................] - ETA: 2:28 - loss: 272.4286 - logits_profile_predictions_loss: 268.9076 - logcount_predictions_loss: 0.3322 118/1081 [==>...........................] - ETA: 2:28 - loss: 272.4245 - logits_profile_predictions_loss: 268.9029 - logcount_predictions_loss: 0.3322 119/1081 [==>...........................] - ETA: 2:28 - loss: 272.4206 - logits_profile_predictions_loss: 268.8984 - logcount_predictions_loss: 0.3323 120/1081 [==>...........................] - ETA: 2:28 - loss: 272.4176 - logits_profile_predictions_loss: 268.8949 - logcount_predictions_loss: 0.3323 121/1081 [==>...........................] - ETA: 2:27 - loss: 272.4155 - logits_profile_predictions_loss: 268.8922 - logcount_predictions_loss: 0.3324 122/1081 [==>...........................] - ETA: 2:27 - loss: 272.4134 - logits_profile_predictions_loss: 268.8896 - logcount_predictions_loss: 0.3324 123/1081 [==>...........................] - ETA: 2:27 - loss: 272.4103 - logits_profile_predictions_loss: 268.8861 - logcount_predictions_loss: 0.3325 124/1081 [==>...........................] - ETA: 2:27 - loss: 272.4080 - logits_profile_predictions_loss: 268.8835 - logcount_predictions_loss: 0.3325 125/1081 [==>...........................] - ETA: 2:27 - loss: 272.4041 - logits_profile_predictions_loss: 268.8793 - logcount_predictions_loss: 0.3325 126/1081 [==>...........................] - ETA: 2:27 - loss: 272.3998 - logits_profile_predictions_loss: 268.8748 - logcount_predictions_loss: 0.3325 127/1081 [==>...........................] - ETA: 2:26 - loss: 272.3977 - logits_profile_predictions_loss: 268.8725 - logcount_predictions_loss: 0.3326 128/1081 [==>...........................] - ETA: 2:26 - loss: 272.3949 - logits_profile_predictions_loss: 268.8695 - logcount_predictions_loss: 0.3326 129/1081 [==>...........................] - ETA: 2:26 - loss: 272.3932 - logits_profile_predictions_loss: 268.8675 - logcount_predictions_loss: 0.3326 130/1081 [==>...........................] - ETA: 2:26 - loss: 272.3915 - logits_profile_predictions_loss: 268.8657 - logcount_predictions_loss: 0.3326 131/1081 [==>...........................] - ETA: 2:26 - loss: 272.3895 - logits_profile_predictions_loss: 268.8636 - logcount_predictions_loss: 0.3326 132/1081 [==>...........................] - ETA: 2:26 - loss: 272.3872 - logits_profile_predictions_loss: 268.8612 - logcount_predictions_loss: 0.3326 133/1081 [==>...........................] - ETA: 2:26 - loss: 272.3850 - logits_profile_predictions_loss: 268.8588 - logcount_predictions_loss: 0.3327 134/1081 [==>...........................] - ETA: 2:25 - loss: 272.3830 - logits_profile_predictions_loss: 268.8567 - logcount_predictions_loss: 0.3327 135/1081 [==>...........................] - ETA: 2:25 - loss: 272.3814 - logits_profile_predictions_loss: 268.8551 - logcount_predictions_loss: 0.3327 136/1081 [==>...........................] - ETA: 2:25 - loss: 272.3798 - logits_profile_predictions_loss: 268.8534 - logcount_predictions_loss: 0.3327 137/1081 [==>...........................] - ETA: 2:25 - loss: 272.3788 - logits_profile_predictions_loss: 268.8525 - logcount_predictions_loss: 0.3327 138/1081 [==>...........................] - ETA: 2:25 - loss: 272.3798 - logits_profile_predictions_loss: 268.8535 - logcount_predictions_loss: 0.3327 139/1081 [==>...........................] - ETA: 2:25 - loss: 272.3803 - logits_profile_predictions_loss: 268.8541 - logcount_predictions_loss: 0.3327 140/1081 [==>...........................] - ETA: 2:24 - loss: 272.3805 - logits_profile_predictions_loss: 268.8544 - logcount_predictions_loss: 0.3326 141/1081 [==>...........................] - ETA: 2:24 - loss: 272.3788 - logits_profile_predictions_loss: 268.8529 - logcount_predictions_loss: 0.3326 142/1081 [==>...........................] - ETA: 2:24 - loss: 272.3773 - logits_profile_predictions_loss: 268.8516 - logcount_predictions_loss: 0.3326 143/1081 [==>...........................] - ETA: 2:24 - loss: 272.3760 - logits_profile_predictions_loss: 268.8505 - logcount_predictions_loss: 0.3326 144/1081 [==>...........................] - ETA: 2:24 - loss: 272.3747 - logits_profile_predictions_loss: 268.8493 - logcount_predictions_loss: 0.3326 145/1081 [===>..........................] - ETA: 2:24 - loss: 272.3727 - logits_profile_predictions_loss: 268.8474 - logcount_predictions_loss: 0.3326 146/1081 [===>..........................] - ETA: 2:24 - loss: 272.3720 - logits_profile_predictions_loss: 268.8469 - logcount_predictions_loss: 0.3326 147/1081 [===>..........................] - ETA: 2:23 - loss: 272.3719 - logits_profile_predictions_loss: 268.8470 - logcount_predictions_loss: 0.3325 148/1081 [===>..........................] - ETA: 2:23 - loss: 272.3716 - logits_profile_predictions_loss: 268.8468 - logcount_predictions_loss: 0.3325 149/1081 [===>..........................] - ETA: 2:23 - loss: 272.3723 - logits_profile_predictions_loss: 268.8477 - logcount_predictions_loss: 0.3325 150/1081 [===>..........................] - ETA: 2:23 - loss: 272.3714 - logits_profile_predictions_loss: 268.8469 - logcount_predictions_loss: 0.3325 151/1081 [===>..........................] - ETA: 2:23 - loss: 272.3700 - logits_profile_predictions_loss: 268.8456 - logcount_predictions_loss: 0.3325 152/1081 [===>..........................] - ETA: 2:23 - loss: 272.3687 - logits_profile_predictions_loss: 268.8446 - logcount_predictions_loss: 0.3325 153/1081 [===>..........................] - ETA: 2:23 - loss: 272.3687 - logits_profile_predictions_loss: 268.8448 - logcount_predictions_loss: 0.3324 154/1081 [===>..........................] - ETA: 2:22 - loss: 272.3682 - logits_profile_predictions_loss: 268.8446 - logcount_predictions_loss: 0.3324 155/1081 [===>..........................] - ETA: 2:22 - loss: 272.3677 - logits_profile_predictions_loss: 268.8443 - logcount_predictions_loss: 0.3324 156/1081 [===>..........................] - ETA: 2:22 - loss: 272.3676 - logits_profile_predictions_loss: 268.8445 - logcount_predictions_loss: 0.3324 157/1081 [===>..........................] - ETA: 2:22 - loss: 272.3672 - logits_profile_predictions_loss: 268.8444 - logcount_predictions_loss: 0.3323 158/1081 [===>..........................] - ETA: 2:22 - loss: 272.3673 - logits_profile_predictions_loss: 268.8448 - logcount_predictions_loss: 0.3323 159/1081 [===>..........................] - ETA: 2:22 - loss: 272.3675 - logits_profile_predictions_loss: 268.8453 - logcount_predictions_loss: 0.3323 160/1081 [===>..........................] - ETA: 2:21 - loss: 272.3684 - logits_profile_predictions_loss: 268.8465 - logcount_predictions_loss: 0.3323 161/1081 [===>..........................] - ETA: 2:21 - loss: 272.3686 - logits_profile_predictions_loss: 268.8471 - logcount_predictions_loss: 0.3322 162/1081 [===>..........................] - ETA: 2:21 - loss: 272.3675 - logits_profile_predictions_loss: 268.8462 - logcount_predictions_loss: 0.3322 163/1081 [===>..........................] - ETA: 2:21 - loss: 272.3666 - logits_profile_predictions_loss: 268.8456 - logcount_predictions_loss: 0.3322 164/1081 [===>..........................] - ETA: 2:21 - loss: 272.3644 - logits_profile_predictions_loss: 268.8437 - logcount_predictions_loss: 0.3321 165/1081 [===>..........................] - ETA: 2:21 - loss: 272.3628 - logits_profile_predictions_loss: 268.8424 - logcount_predictions_loss: 0.3321 166/1081 [===>..........................] - ETA: 2:20 - loss: 272.3623 - logits_profile_predictions_loss: 268.8422 - logcount_predictions_loss: 0.3321 167/1081 [===>..........................] - ETA: 2:20 - loss: 272.3614 - logits_profile_predictions_loss: 268.8415 - logcount_predictions_loss: 0.3321 168/1081 [===>..........................] - ETA: 2:20 - loss: 272.3607 - logits_profile_predictions_loss: 268.8411 - logcount_predictions_loss: 0.3320 169/1081 [===>..........................] - ETA: 2:20 - loss: 272.3605 - logits_profile_predictions_loss: 268.8411 - logcount_predictions_loss: 0.3320 170/1081 [===>..........................] - ETA: 2:20 - loss: 272.3600 - logits_profile_predictions_loss: 268.8408 - logcount_predictions_loss: 0.3320 171/1081 [===>..........................] - ETA: 2:20 - loss: 272.3590 - logits_profile_predictions_loss: 268.8400 - logcount_predictions_loss: 0.3320 172/1081 [===>..........................] - ETA: 2:20 - loss: 272.3576 - logits_profile_predictions_loss: 268.8389 - logcount_predictions_loss: 0.3320 173/1081 [===>..........................] - ETA: 2:19 - loss: 272.3565 - logits_profile_predictions_loss: 268.8380 - logcount_predictions_loss: 0.3319 174/1081 [===>..........................] - ETA: 2:19 - loss: 272.3560 - logits_profile_predictions_loss: 268.8376 - logcount_predictions_loss: 0.3319 175/1081 [===>..........................] - ETA: 2:19 - loss: 272.3546 - logits_profile_predictions_loss: 268.8363 - logcount_predictions_loss: 0.3319 176/1081 [===>..........................] - ETA: 2:19 - loss: 272.3543 - logits_profile_predictions_loss: 268.8362 - logcount_predictions_loss: 0.3319 177/1081 [===>..........................] - ETA: 2:19 - loss: 272.3541 - logits_profile_predictions_loss: 268.8361 - logcount_predictions_loss: 0.3319 178/1081 [===>..........................] - ETA: 2:19 - loss: 272.3542 - logits_profile_predictions_loss: 268.8363 - logcount_predictions_loss: 0.3319 179/1081 [===>..........................] - ETA: 2:18 - loss: 272.3539 - logits_profile_predictions_loss: 268.8361 - logcount_predictions_loss: 0.3319 180/1081 [===>..........................] - ETA: 2:18 - loss: 272.3533 - logits_profile_predictions_loss: 268.8357 - logcount_predictions_loss: 0.3319 181/1081 [====>.........................] - ETA: 2:18 - loss: 272.3527 - logits_profile_predictions_loss: 268.8352 - logcount_predictions_loss: 0.3318 182/1081 [====>.........................] - ETA: 2:18 - loss: 272.3515 - logits_profile_predictions_loss: 268.8340 - logcount_predictions_loss: 0.3318 183/1081 [====>.........................] - ETA: 2:18 - loss: 272.3515 - logits_profile_predictions_loss: 268.8342 - logcount_predictions_loss: 0.3318 184/1081 [====>.........................] - ETA: 2:18 - loss: 272.3515 - logits_profile_predictions_loss: 268.8343 - logcount_predictions_loss: 0.3318 185/1081 [====>.........................] - ETA: 2:18 - loss: 272.3507 - logits_profile_predictions_loss: 268.8336 - logcount_predictions_loss: 0.3318 186/1081 [====>.........................] - ETA: 2:17 - loss: 272.3499 - logits_profile_predictions_loss: 268.8329 - logcount_predictions_loss: 0.3318 187/1081 [====>.........................] - ETA: 2:17 - loss: 272.3491 - logits_profile_predictions_loss: 268.8322 - logcount_predictions_loss: 0.3318 188/1081 [====>.........................] - ETA: 2:17 - loss: 272.3476 - logits_profile_predictions_loss: 268.8308 - logcount_predictions_loss: 0.3318 189/1081 [====>.........................] - ETA: 2:17 - loss: 272.3459 - logits_profile_predictions_loss: 268.8292 - logcount_predictions_loss: 0.3318 190/1081 [====>.........................] - ETA: 2:17 - loss: 272.3454 - logits_profile_predictions_loss: 268.8288 - logcount_predictions_loss: 0.3318 191/1081 [====>.........................] - ETA: 2:17 - loss: 272.3443 - logits_profile_predictions_loss: 268.8278 - logcount_predictions_loss: 0.3318 192/1081 [====>.........................] - ETA: 2:16 - loss: 272.3431 - logits_profile_predictions_loss: 268.8266 - logcount_predictions_loss: 0.3317 193/1081 [====>.........................] - ETA: 2:16 - loss: 272.3411 - logits_profile_predictions_loss: 268.8246 - logcount_predictions_loss: 0.3317 194/1081 [====>.........................] - ETA: 2:16 - loss: 272.3392 - logits_profile_predictions_loss: 268.8228 - logcount_predictions_loss: 0.3317 195/1081 [====>.........................] - ETA: 2:16 - loss: 272.3378 - logits_profile_predictions_loss: 268.8215 - logcount_predictions_loss: 0.3317 196/1081 [====>.........................] - ETA: 2:16 - loss: 272.3365 - logits_profile_predictions_loss: 268.8202 - logcount_predictions_loss: 0.3317 197/1081 [====>.........................] - ETA: 2:16 - loss: 272.3349 - logits_profile_predictions_loss: 268.8187 - logcount_predictions_loss: 0.3317 198/1081 [====>.........................] - ETA: 2:16 - loss: 272.3328 - logits_profile_predictions_loss: 268.8165 - logcount_predictions_loss: 0.3317 199/1081 [====>.........................] - ETA: 2:15 - loss: 272.3305 - logits_profile_predictions_loss: 268.8143 - logcount_predictions_loss: 0.3317 200/1081 [====>.........................] - ETA: 2:15 - loss: 272.3273 - logits_profile_predictions_loss: 268.8111 - logcount_predictions_loss: 0.3317 201/1081 [====>.........................] - ETA: 2:15 - loss: 272.3243 - logits_profile_predictions_loss: 268.8081 - logcount_predictions_loss: 0.3317 202/1081 [====>.........................] - ETA: 2:15 - loss: 272.3213 - logits_profile_predictions_loss: 268.8052 - logcount_predictions_loss: 0.3317 203/1081 [====>.........................] - ETA: 2:15 - loss: 272.3185 - logits_profile_predictions_loss: 268.8024 - logcount_predictions_loss: 0.3317 204/1081 [====>.........................] - ETA: 2:15 - loss: 272.3154 - 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[====>.........................] - ETA: 2:14 - loss: 272.2935 - logits_profile_predictions_loss: 268.7779 - logcount_predictions_loss: 0.3317 212/1081 [====>.........................] - ETA: 2:13 - loss: 272.2903 - logits_profile_predictions_loss: 268.7747 - logcount_predictions_loss: 0.3317 213/1081 [====>.........................] - ETA: 2:13 - loss: 272.2863 - logits_profile_predictions_loss: 268.7708 - logcount_predictions_loss: 0.3317 214/1081 [====>.........................] - ETA: 2:13 - loss: 272.2818 - logits_profile_predictions_loss: 268.7664 - logcount_predictions_loss: 0.3316 215/1081 [====>.........................] - ETA: 2:13 - loss: 272.2778 - logits_profile_predictions_loss: 268.7624 - logcount_predictions_loss: 0.3316 216/1081 [====>.........................] - ETA: 2:13 - loss: 272.2744 - logits_profile_predictions_loss: 268.7589 - logcount_predictions_loss: 0.3317 217/1081 [=====>........................] - ETA: 2:13 - loss: 272.2709 - 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[=====>........................] - ETA: 2:12 - loss: 272.2452 - logits_profile_predictions_loss: 268.7295 - logcount_predictions_loss: 0.3317 225/1081 [=====>........................] - ETA: 2:11 - loss: 272.2415 - logits_profile_predictions_loss: 268.7258 - logcount_predictions_loss: 0.3317 226/1081 [=====>........................] - ETA: 2:11 - loss: 272.2380 - logits_profile_predictions_loss: 268.7222 - logcount_predictions_loss: 0.3317 227/1081 [=====>........................] - ETA: 2:11 - loss: 272.2347 - logits_profile_predictions_loss: 268.7188 - logcount_predictions_loss: 0.3317 228/1081 [=====>........................] - ETA: 2:11 - loss: 272.2312 - logits_profile_predictions_loss: 268.7152 - logcount_predictions_loss: 0.3317 229/1081 [=====>........................] - ETA: 2:11 - loss: 272.2282 - logits_profile_predictions_loss: 268.7121 - logcount_predictions_loss: 0.3317 230/1081 [=====>........................] - ETA: 2:11 - loss: 272.2255 - logits_profile_predictions_loss: 268.7093 - logcount_predictions_loss: 0.3317 231/1081 [=====>........................] - ETA: 2:11 - loss: 272.2227 - logits_profile_predictions_loss: 268.7065 - logcount_predictions_loss: 0.3317 232/1081 [=====>........................] - ETA: 2:10 - loss: 272.2199 - logits_profile_predictions_loss: 268.7035 - logcount_predictions_loss: 0.3317 233/1081 [=====>........................] - ETA: 2:10 - loss: 272.2174 - logits_profile_predictions_loss: 268.7009 - logcount_predictions_loss: 0.3317 234/1081 [=====>........................] - ETA: 2:10 - loss: 272.2150 - logits_profile_predictions_loss: 268.6984 - logcount_predictions_loss: 0.3318 235/1081 [=====>........................] - ETA: 2:10 - loss: 272.2129 - logits_profile_predictions_loss: 268.6961 - logcount_predictions_loss: 0.3318 236/1081 [=====>........................] - ETA: 2:10 - loss: 272.2101 - logits_profile_predictions_loss: 268.6932 - logcount_predictions_loss: 0.3318 237/1081 [=====>........................] - ETA: 2:10 - loss: 272.2075 - logits_profile_predictions_loss: 268.6905 - logcount_predictions_loss: 0.3318 238/1081 [=====>........................] - ETA: 2:09 - loss: 272.2052 - logits_profile_predictions_loss: 268.6881 - logcount_predictions_loss: 0.3318 239/1081 [=====>........................] - ETA: 2:09 - loss: 272.2029 - logits_profile_predictions_loss: 268.6856 - logcount_predictions_loss: 0.3318 240/1081 [=====>........................] - ETA: 2:09 - loss: 272.2005 - logits_profile_predictions_loss: 268.6831 - logcount_predictions_loss: 0.3318 241/1081 [=====>........................] - ETA: 2:09 - loss: 272.1982 - logits_profile_predictions_loss: 268.6806 - logcount_predictions_loss: 0.3318 242/1081 [=====>........................] - ETA: 2:09 - loss: 272.1961 - logits_profile_predictions_loss: 268.6784 - logcount_predictions_loss: 0.3319 243/1081 [=====>........................] - ETA: 2:09 - loss: 272.1939 - logits_profile_predictions_loss: 268.6760 - logcount_predictions_loss: 0.3319 244/1081 [=====>........................] - ETA: 2:09 - loss: 272.1917 - logits_profile_predictions_loss: 268.6737 - logcount_predictions_loss: 0.3319 245/1081 [=====>........................] - ETA: 2:08 - loss: 272.1897 - logits_profile_predictions_loss: 268.6716 - logcount_predictions_loss: 0.3319 246/1081 [=====>........................] - ETA: 2:08 - loss: 272.1874 - logits_profile_predictions_loss: 268.6691 - logcount_predictions_loss: 0.3319 247/1081 [=====>........................] - ETA: 2:08 - loss: 272.1849 - logits_profile_predictions_loss: 268.6664 - logcount_predictions_loss: 0.3319 248/1081 [=====>........................] - ETA: 2:08 - loss: 272.1820 - logits_profile_predictions_loss: 268.6634 - logcount_predictions_loss: 0.3319 249/1081 [=====>........................] - ETA: 2:08 - loss: 272.1787 - logits_profile_predictions_loss: 268.6600 - logcount_predictions_loss: 0.3320 250/1081 [=====>........................] - ETA: 2:08 - loss: 272.1754 - logits_profile_predictions_loss: 268.6565 - logcount_predictions_loss: 0.3320 251/1081 [=====>........................] - ETA: 2:07 - loss: 272.1718 - logits_profile_predictions_loss: 268.6528 - logcount_predictions_loss: 0.3320 252/1081 [=====>........................] - ETA: 2:07 - loss: 272.1683 - logits_profile_predictions_loss: 268.6491 - logcount_predictions_loss: 0.3320 253/1081 [======>.......................] - ETA: 2:07 - loss: 272.1647 - logits_profile_predictions_loss: 268.6454 - logcount_predictions_loss: 0.3320 254/1081 [======>.......................] - ETA: 2:07 - loss: 272.1613 - logits_profile_predictions_loss: 268.6419 - logcount_predictions_loss: 0.3320 255/1081 [======>.......................] - ETA: 2:07 - loss: 272.1576 - logits_profile_predictions_loss: 268.6380 - logcount_predictions_loss: 0.3320 256/1081 [======>.......................] - ETA: 2:07 - loss: 272.1542 - logits_profile_predictions_loss: 268.6346 - logcount_predictions_loss: 0.3321 257/1081 [======>.......................] - ETA: 2:06 - loss: 272.1511 - logits_profile_predictions_loss: 268.6313 - logcount_predictions_loss: 0.3321 258/1081 [======>.......................] - ETA: 2:06 - loss: 272.1477 - logits_profile_predictions_loss: 268.6277 - logcount_predictions_loss: 0.3321 259/1081 [======>.......................] - ETA: 2:06 - loss: 272.1444 - logits_profile_predictions_loss: 268.6243 - logcount_predictions_loss: 0.3321 260/1081 [======>.......................] - ETA: 2:06 - loss: 272.1411 - logits_profile_predictions_loss: 268.6209 - logcount_predictions_loss: 0.3321 261/1081 [======>.......................] - ETA: 2:06 - loss: 272.1379 - logits_profile_predictions_loss: 268.6176 - logcount_predictions_loss: 0.3321 262/1081 [======>.......................] - ETA: 2:06 - loss: 272.1349 - logits_profile_predictions_loss: 268.6145 - logcount_predictions_loss: 0.3321 263/1081 [======>.......................] - ETA: 2:06 - loss: 272.1319 - logits_profile_predictions_loss: 268.6115 - logcount_predictions_loss: 0.3321 264/1081 [======>.......................] - ETA: 2:05 - loss: 272.1295 - logits_profile_predictions_loss: 268.6090 - logcount_predictions_loss: 0.3321 265/1081 [======>.......................] - ETA: 2:05 - loss: 272.1272 - logits_profile_predictions_loss: 268.6066 - logcount_predictions_loss: 0.3321 266/1081 [======>.......................] - ETA: 2:05 - loss: 272.1250 - logits_profile_predictions_loss: 268.6043 - logcount_predictions_loss: 0.3321 267/1081 [======>.......................] - ETA: 2:05 - loss: 272.1226 - logits_profile_predictions_loss: 268.6019 - logcount_predictions_loss: 0.3322 268/1081 [======>.......................] - ETA: 2:05 - loss: 272.1205 - logits_profile_predictions_loss: 268.5996 - logcount_predictions_loss: 0.3322 269/1081 [======>.......................] - ETA: 2:05 - loss: 272.1186 - 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[>.............................] - ETA: 2:38 - loss: 269.3442 - logits_profile_predictions_loss: 265.9209 - logcount_predictions_loss: 0.3230 52/1081 [>.............................] - ETA: 2:38 - loss: 269.3265 - logits_profile_predictions_loss: 265.9039 - logcount_predictions_loss: 0.3229 53/1081 [>.............................] - ETA: 2:38 - loss: 269.3081 - logits_profile_predictions_loss: 265.8862 - logcount_predictions_loss: 0.3228 54/1081 [>.............................] - ETA: 2:38 - loss: 269.2771 - logits_profile_predictions_loss: 265.8558 - logcount_predictions_loss: 0.3228 55/1081 [>.............................] - ETA: 2:38 - loss: 269.2511 - logits_profile_predictions_loss: 265.8305 - logcount_predictions_loss: 0.3227 56/1081 [>.............................] - ETA: 2:38 - loss: 269.2303 - logits_profile_predictions_loss: 265.8106 - logcount_predictions_loss: 0.3226 57/1081 [>.............................] - ETA: 2:37 - loss: 269.2149 - logits_profile_predictions_loss: 265.7964 - logcount_predictions_loss: 0.3225 58/1081 [>.............................] - ETA: 2:37 - loss: 269.1963 - logits_profile_predictions_loss: 265.7788 - logcount_predictions_loss: 0.3224 59/1081 [>.............................] - ETA: 2:37 - loss: 269.1732 - logits_profile_predictions_loss: 265.7569 - logcount_predictions_loss: 0.3223 60/1081 [>.............................] - ETA: 2:37 - loss: 269.1566 - logits_profile_predictions_loss: 265.7413 - logcount_predictions_loss: 0.3222 61/1081 [>.............................] - ETA: 2:37 - loss: 269.1443 - logits_profile_predictions_loss: 265.7301 - logcount_predictions_loss: 0.3221 62/1081 [>.............................] - ETA: 2:37 - loss: 269.1282 - logits_profile_predictions_loss: 265.7151 - logcount_predictions_loss: 0.3220 63/1081 [>.............................] - ETA: 2:36 - loss: 269.1133 - logits_profile_predictions_loss: 265.7010 - logcount_predictions_loss: 0.3219 64/1081 [>.............................] - ETA: 2:36 - loss: 269.1003 - logits_profile_predictions_loss: 265.6888 - logcount_predictions_loss: 0.3218 65/1081 [>.............................] - ETA: 2:36 - loss: 269.0929 - logits_profile_predictions_loss: 265.6823 - logcount_predictions_loss: 0.3218 66/1081 [>.............................] - ETA: 2:36 - loss: 269.0824 - logits_profile_predictions_loss: 265.6727 - logcount_predictions_loss: 0.3217 67/1081 [>.............................] - ETA: 2:36 - loss: 269.0700 - logits_profile_predictions_loss: 265.6614 - logcount_predictions_loss: 0.3216 68/1081 [>.............................] - ETA: 2:36 - loss: 269.0503 - logits_profile_predictions_loss: 265.6425 - logcount_predictions_loss: 0.3215 69/1081 [>.............................] - ETA: 2:36 - loss: 269.0378 - logits_profile_predictions_loss: 265.6306 - logcount_predictions_loss: 0.3214 70/1081 [>.............................] - ETA: 2:35 - loss: 269.0245 - logits_profile_predictions_loss: 265.6180 - logcount_predictions_loss: 0.3214 71/1081 [>.............................] - ETA: 2:35 - loss: 269.0139 - logits_profile_predictions_loss: 265.6078 - logcount_predictions_loss: 0.3213 72/1081 [>.............................] - ETA: 2:35 - loss: 268.9997 - logits_profile_predictions_loss: 265.5941 - logcount_predictions_loss: 0.3213 73/1081 [=>............................] - ETA: 2:35 - loss: 268.9849 - logits_profile_predictions_loss: 265.5798 - logcount_predictions_loss: 0.3212 74/1081 [=>............................] - ETA: 2:35 - loss: 268.9669 - logits_profile_predictions_loss: 265.5624 - logcount_predictions_loss: 0.3212 75/1081 [=>............................] - ETA: 2:35 - loss: 268.9445 - logits_profile_predictions_loss: 265.5408 - logcount_predictions_loss: 0.3211 76/1081 [=>............................] - ETA: 2:34 - loss: 268.9195 - logits_profile_predictions_loss: 265.5166 - logcount_predictions_loss: 0.3210 77/1081 [=>............................] - ETA: 2:34 - loss: 268.8992 - logits_profile_predictions_loss: 265.4970 - logcount_predictions_loss: 0.3210 78/1081 [=>............................] - ETA: 2:34 - loss: 268.8773 - logits_profile_predictions_loss: 265.4759 - logcount_predictions_loss: 0.3209 79/1081 [=>............................] - ETA: 2:34 - loss: 268.8585 - logits_profile_predictions_loss: 265.4579 - logcount_predictions_loss: 0.3208 80/1081 [=>............................] - ETA: 2:34 - loss: 268.8437 - logits_profile_predictions_loss: 265.4441 - logcount_predictions_loss: 0.3207 81/1081 [=>............................] - ETA: 2:34 - loss: 268.8322 - logits_profile_predictions_loss: 265.4334 - logcount_predictions_loss: 0.3206 82/1081 [=>............................] - ETA: 2:34 - loss: 268.8224 - logits_profile_predictions_loss: 265.4244 - logcount_predictions_loss: 0.3206 83/1081 [=>............................] - ETA: 2:33 - loss: 268.8140 - logits_profile_predictions_loss: 265.4167 - logcount_predictions_loss: 0.3205 84/1081 [=>............................] - ETA: 2:33 - loss: 268.8073 - logits_profile_predictions_loss: 265.4108 - logcount_predictions_loss: 0.3204 85/1081 [=>............................] - ETA: 2:33 - loss: 268.8039 - logits_profile_predictions_loss: 265.4081 - logcount_predictions_loss: 0.3204 86/1081 [=>............................] - ETA: 2:33 - loss: 268.8024 - logits_profile_predictions_loss: 265.4072 - logcount_predictions_loss: 0.3203 87/1081 [=>............................] - ETA: 2:33 - loss: 268.8024 - logits_profile_predictions_loss: 265.4079 - logcount_predictions_loss: 0.3202 88/1081 [=>............................] - ETA: 2:33 - loss: 268.8050 - logits_profile_predictions_loss: 265.4111 - logcount_predictions_loss: 0.3202 89/1081 [=>............................] - ETA: 2:32 - loss: 268.8116 - logits_profile_predictions_loss: 265.4183 - logcount_predictions_loss: 0.3201 90/1081 [=>............................] - ETA: 2:32 - loss: 268.8181 - logits_profile_predictions_loss: 265.4253 - logcount_predictions_loss: 0.3201 91/1081 [=>............................] - ETA: 2:32 - loss: 268.8263 - logits_profile_predictions_loss: 265.4340 - logcount_predictions_loss: 0.3200 92/1081 [=>............................] - ETA: 2:32 - loss: 268.8330 - logits_profile_predictions_loss: 265.4412 - logcount_predictions_loss: 0.3200 93/1081 [=>............................] - ETA: 2:32 - loss: 268.8399 - logits_profile_predictions_loss: 265.4486 - logcount_predictions_loss: 0.3199 94/1081 [=>............................] - ETA: 2:32 - loss: 268.8436 - logits_profile_predictions_loss: 265.4529 - logcount_predictions_loss: 0.3199 95/1081 [=>............................] - ETA: 2:32 - loss: 268.8506 - logits_profile_predictions_loss: 265.4604 - logcount_predictions_loss: 0.3198 96/1081 [=>............................] - ETA: 2:31 - loss: 268.8613 - logits_profile_predictions_loss: 265.4715 - logcount_predictions_loss: 0.3198 97/1081 [=>............................] - ETA: 2:31 - loss: 268.8711 - logits_profile_predictions_loss: 265.4817 - logcount_predictions_loss: 0.3198 98/1081 [=>............................] - ETA: 2:31 - loss: 268.8840 - logits_profile_predictions_loss: 265.4950 - logcount_predictions_loss: 0.3197 99/1081 [=>............................] - ETA: 2:31 - loss: 268.8938 - logits_profile_predictions_loss: 265.5053 - logcount_predictions_loss: 0.3197 100/1081 [=>............................] - ETA: 2:31 - loss: 268.9028 - logits_profile_predictions_loss: 265.5146 - logcount_predictions_loss: 0.3196 101/1081 [=>............................] - ETA: 2:31 - loss: 268.9140 - logits_profile_predictions_loss: 265.5260 - logcount_predictions_loss: 0.3196 102/1081 [=>............................] - ETA: 2:30 - loss: 268.9225 - logits_profile_predictions_loss: 265.5347 - logcount_predictions_loss: 0.3196 103/1081 [=>............................] - ETA: 2:30 - loss: 268.9318 - logits_profile_predictions_loss: 265.5442 - logcount_predictions_loss: 0.3196 104/1081 [=>............................] - ETA: 2:30 - loss: 268.9392 - logits_profile_predictions_loss: 265.5519 - logcount_predictions_loss: 0.3196 105/1081 [=>............................] - ETA: 2:30 - loss: 268.9489 - logits_profile_predictions_loss: 265.5620 - logcount_predictions_loss: 0.3195 106/1081 [=>............................] - ETA: 2:30 - loss: 268.9589 - logits_profile_predictions_loss: 265.5723 - logcount_predictions_loss: 0.3195 107/1081 [=>............................] - ETA: 2:30 - loss: 268.9686 - logits_profile_predictions_loss: 265.5824 - logcount_predictions_loss: 0.3195 108/1081 [=>............................] - ETA: 2:30 - loss: 268.9774 - logits_profile_predictions_loss: 265.5914 - logcount_predictions_loss: 0.3194 109/1081 [==>...........................] - ETA: 2:29 - loss: 268.9878 - logits_profile_predictions_loss: 265.6021 - logcount_predictions_loss: 0.3194 110/1081 [==>...........................] - ETA: 2:29 - loss: 268.9994 - logits_profile_predictions_loss: 265.6140 - logcount_predictions_loss: 0.3194 111/1081 [==>...........................] - ETA: 2:29 - loss: 269.0099 - logits_profile_predictions_loss: 265.6247 - logcount_predictions_loss: 0.3194 112/1081 [==>...........................] - ETA: 2:29 - loss: 269.0215 - logits_profile_predictions_loss: 265.6363 - logcount_predictions_loss: 0.3194 113/1081 [==>...........................] - ETA: 2:29 - loss: 269.0326 - logits_profile_predictions_loss: 265.6475 - logcount_predictions_loss: 0.3193 114/1081 [==>...........................] - ETA: 2:29 - loss: 269.0442 - logits_profile_predictions_loss: 265.6592 - logcount_predictions_loss: 0.3193 115/1081 [==>...........................] - ETA: 2:28 - loss: 269.0547 - logits_profile_predictions_loss: 265.6698 - logcount_predictions_loss: 0.3193 116/1081 [==>...........................] - ETA: 2:28 - loss: 269.0654 - logits_profile_predictions_loss: 265.6807 - logcount_predictions_loss: 0.3193 117/1081 [==>...........................] - ETA: 2:28 - loss: 269.0764 - logits_profile_predictions_loss: 265.6919 - logcount_predictions_loss: 0.3193 118/1081 [==>...........................] - ETA: 2:28 - loss: 269.0890 - logits_profile_predictions_loss: 265.7048 - logcount_predictions_loss: 0.3193 119/1081 [==>...........................] - ETA: 2:28 - loss: 269.1015 - logits_profile_predictions_loss: 265.7174 - logcount_predictions_loss: 0.3193 120/1081 [==>...........................] - ETA: 2:28 - loss: 269.1150 - logits_profile_predictions_loss: 265.7310 - logcount_predictions_loss: 0.3192 121/1081 [==>...........................] - ETA: 2:28 - loss: 269.1280 - logits_profile_predictions_loss: 265.7441 - logcount_predictions_loss: 0.3192 122/1081 [==>...........................] - ETA: 2:27 - loss: 269.1408 - logits_profile_predictions_loss: 265.7570 - logcount_predictions_loss: 0.3192 123/1081 [==>...........................] - ETA: 2:27 - loss: 269.1538 - 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[==>...........................] - ETA: 2:26 - loss: 269.2402 - logits_profile_predictions_loss: 265.8580 - logcount_predictions_loss: 0.3191 131/1081 [==>...........................] - ETA: 2:26 - loss: 269.2520 - logits_profile_predictions_loss: 265.8699 - logcount_predictions_loss: 0.3191 132/1081 [==>...........................] - ETA: 2:26 - loss: 269.2659 - logits_profile_predictions_loss: 265.8838 - logcount_predictions_loss: 0.3191 133/1081 [==>...........................] - ETA: 2:26 - loss: 269.2794 - logits_profile_predictions_loss: 265.8972 - logcount_predictions_loss: 0.3191 134/1081 [==>...........................] - ETA: 2:26 - loss: 269.2922 - logits_profile_predictions_loss: 265.9100 - logcount_predictions_loss: 0.3191 135/1081 [==>...........................] - ETA: 2:26 - loss: 269.3041 - logits_profile_predictions_loss: 265.9218 - logcount_predictions_loss: 0.3191 136/1081 [==>...........................] - ETA: 2:25 - loss: 269.3144 - 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[==>...........................] - ETA: 2:24 - loss: 269.3833 - logits_profile_predictions_loss: 266.0011 - logcount_predictions_loss: 0.3191 144/1081 [==>...........................] - ETA: 2:24 - loss: 269.3926 - logits_profile_predictions_loss: 266.0105 - logcount_predictions_loss: 0.3191 145/1081 [===>..........................] - ETA: 2:24 - loss: 269.4017 - logits_profile_predictions_loss: 266.0196 - logcount_predictions_loss: 0.3191 146/1081 [===>..........................] - ETA: 2:24 - loss: 269.4107 - logits_profile_predictions_loss: 266.0287 - logcount_predictions_loss: 0.3191 147/1081 [===>..........................] - ETA: 2:24 - loss: 269.4211 - logits_profile_predictions_loss: 266.0392 - logcount_predictions_loss: 0.3191 148/1081 [===>..........................] - ETA: 2:24 - loss: 269.4311 - logits_profile_predictions_loss: 266.0492 - logcount_predictions_loss: 0.3190 149/1081 [===>..........................] - ETA: 2:23 - loss: 269.4399 - logits_profile_predictions_loss: 266.0582 - logcount_predictions_loss: 0.3190 150/1081 [===>..........................] - ETA: 2:23 - loss: 269.4484 - logits_profile_predictions_loss: 266.0668 - logcount_predictions_loss: 0.3190 151/1081 [===>..........................] - ETA: 2:23 - loss: 269.4567 - logits_profile_predictions_loss: 266.0752 - logcount_predictions_loss: 0.3190 152/1081 [===>..........................] - ETA: 2:23 - loss: 269.4630 - logits_profile_predictions_loss: 266.0816 - logcount_predictions_loss: 0.3190 153/1081 [===>..........................] - ETA: 2:23 - loss: 269.4696 - logits_profile_predictions_loss: 266.0882 - logcount_predictions_loss: 0.3190 154/1081 [===>..........................] - ETA: 2:23 - loss: 269.4754 - logits_profile_predictions_loss: 266.0941 - logcount_predictions_loss: 0.3190 155/1081 [===>..........................] - ETA: 2:22 - loss: 269.4820 - logits_profile_predictions_loss: 266.1008 - logcount_predictions_loss: 0.3190 156/1081 [===>..........................] - ETA: 2:22 - loss: 269.4881 - logits_profile_predictions_loss: 266.1069 - logcount_predictions_loss: 0.3190 157/1081 [===>..........................] - ETA: 2:22 - loss: 269.4947 - logits_profile_predictions_loss: 266.1137 - logcount_predictions_loss: 0.3190 158/1081 [===>..........................] - ETA: 2:22 - loss: 269.5015 - logits_profile_predictions_loss: 266.1206 - logcount_predictions_loss: 0.3190 159/1081 [===>..........................] - ETA: 2:22 - loss: 269.5078 - logits_profile_predictions_loss: 266.1270 - logcount_predictions_loss: 0.3189 160/1081 [===>..........................] - ETA: 2:22 - loss: 269.5145 - logits_profile_predictions_loss: 266.1338 - logcount_predictions_loss: 0.3189 161/1081 [===>..........................] - ETA: 2:21 - loss: 269.5208 - logits_profile_predictions_loss: 266.1404 - logcount_predictions_loss: 0.3189 162/1081 [===>..........................] - ETA: 2:21 - loss: 269.5260 - 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[============================>.] - ETA: 4s - loss: 269.3834 - logits_profile_predictions_loss: 266.0418 - logcount_predictions_loss: 0.3153 1053/1081 [============================>.] - ETA: 4s - loss: 269.3830 - logits_profile_predictions_loss: 266.0414 - logcount_predictions_loss: 0.3152 1054/1081 [============================>.] - ETA: 4s - loss: 269.3826 - logits_profile_predictions_loss: 266.0410 - logcount_predictions_loss: 0.3152 1055/1081 [============================>.] - ETA: 4s - loss: 269.3822 - logits_profile_predictions_loss: 266.0406 - logcount_predictions_loss: 0.3152 1056/1081 [============================>.] - ETA: 3s - loss: 269.3817 - logits_profile_predictions_loss: 266.0402 - logcount_predictions_loss: 0.3152 1057/1081 [============================>.] - ETA: 3s - loss: 269.3813 - logits_profile_predictions_loss: 266.0399 - logcount_predictions_loss: 0.3152 1058/1081 [============================>.] - ETA: 3s - loss: 269.3809 - logits_profile_predictions_loss: 266.0395 - logcount_predictions_loss: 0.3152 1059/1081 [============================>.] - ETA: 3s - loss: 269.3805 - logits_profile_predictions_loss: 266.0391 - logcount_predictions_loss: 0.3152 1060/1081 [============================>.] - ETA: 3s - loss: 269.3801 - logits_profile_predictions_loss: 266.0388 - logcount_predictions_loss: 0.3152 1061/1081 [============================>.] - ETA: 3s - loss: 269.3797 - logits_profile_predictions_loss: 266.0384 - logcount_predictions_loss: 0.3152 1062/1081 [============================>.] - ETA: 2s - loss: 269.3793 - logits_profile_predictions_loss: 266.0380 - logcount_predictions_loss: 0.3152 1063/1081 [============================>.] - ETA: 2s - loss: 269.3789 - logits_profile_predictions_loss: 266.0376 - logcount_predictions_loss: 0.3152 1064/1081 [============================>.] - ETA: 2s - loss: 269.3785 - logits_profile_predictions_loss: 266.0372 - logcount_predictions_loss: 0.3152 1065/1081 [============================>.] - ETA: 2s - loss: 269.3781 - logits_profile_predictions_loss: 266.0368 - logcount_predictions_loss: 0.3152 1066/1081 [============================>.] - ETA: 2s - loss: 269.3777 - logits_profile_predictions_loss: 266.0364 - logcount_predictions_loss: 0.3152 1067/1081 [============================>.] - ETA: 2s - loss: 269.3772 - logits_profile_predictions_loss: 266.0360 - logcount_predictions_loss: 0.3152 1068/1081 [============================>.] - ETA: 2s - loss: 269.3768 - logits_profile_predictions_loss: 266.0357 - logcount_predictions_loss: 0.3152 1069/1081 [============================>.] - ETA: 1s - loss: 269.3765 - logits_profile_predictions_loss: 266.0353 - logcount_predictions_loss: 0.3152 1070/1081 [============================>.] - ETA: 1s - loss: 269.3761 - logits_profile_predictions_loss: 266.0349 - logcount_predictions_loss: 0.3152 1071/1081 [============================>.] - ETA: 1s - loss: 269.3757 - logits_profile_predictions_loss: 266.0346 - logcount_predictions_loss: 0.3152 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logits_profile_predictions_loss: 266.0319 - logcount_predictions_loss: 0.3152 1079/1081 [============================>.] - ETA: 0s - loss: 269.3724 - logits_profile_predictions_loss: 266.0315 - logcount_predictions_loss: 0.3152 1080/1081 [============================>.] - ETA: 0s - loss: 269.3720 - logits_profile_predictions_loss: 266.0311 - logcount_predictions_loss: 0.3152 1081/1081 [==============================] - ETA: 0s - loss: 269.3715 - logits_profile_predictions_loss: 266.0307 - logcount_predictions_loss: 0.3152 1081/1081 [==============================] - 174s 161ms/step - loss: 269.3711 - logits_profile_predictions_loss: 266.0303 - logcount_predictions_loss: 0.3152 - val_loss: 282.0030 - val_logits_profile_predictions_loss: 278.7278 - val_logcount_predictions_loss: 0.3090 + +Epoch 00008: val_loss did not improve from 281.85043 +Epoch 9/50 + 1/1081 [..............................] - ETA: 3:24 - loss: 284.8764 - logits_profile_predictions_loss: 281.5903 - logcount_predictions_loss: 0.3100 2/1081 [..............................] - ETA: 2:57 - loss: 279.3836 - logits_profile_predictions_loss: 276.1898 - logcount_predictions_loss: 0.3013 3/1081 [..............................] - ETA: 2:51 - loss: 277.9477 - logits_profile_predictions_loss: 274.7135 - logcount_predictions_loss: 0.3051 4/1081 [..............................] - ETA: 2:49 - loss: 277.2715 - logits_profile_predictions_loss: 274.0313 - logcount_predictions_loss: 0.3057 5/1081 [..............................] - ETA: 2:48 - loss: 276.3086 - logits_profile_predictions_loss: 273.0584 - logcount_predictions_loss: 0.3066 6/1081 [..............................] - ETA: 2:47 - loss: 275.3318 - logits_profile_predictions_loss: 272.0613 - logcount_predictions_loss: 0.3085 7/1081 [..............................] - ETA: 2:47 - loss: 274.8624 - logits_profile_predictions_loss: 271.5772 - logcount_predictions_loss: 0.3099 8/1081 [..............................] - ETA: 2:46 - loss: 274.4078 - logits_profile_predictions_loss: 271.1141 - logcount_predictions_loss: 0.3107 9/1081 [..............................] - ETA: 2:46 - loss: 274.0805 - logits_profile_predictions_loss: 270.7809 - logcount_predictions_loss: 0.3113 10/1081 [..............................] - ETA: 2:46 - loss: 273.6592 - logits_profile_predictions_loss: 270.3601 - logcount_predictions_loss: 0.3112 11/1081 [..............................] - ETA: 2:45 - loss: 273.3313 - logits_profile_predictions_loss: 270.0392 - logcount_predictions_loss: 0.3106 12/1081 [..............................] - ETA: 2:45 - loss: 273.0536 - logits_profile_predictions_loss: 269.7725 - logcount_predictions_loss: 0.3095 13/1081 [..............................] - ETA: 2:45 - loss: 272.7245 - logits_profile_predictions_loss: 269.4467 - logcount_predictions_loss: 0.3092 14/1081 [..............................] - ETA: 2:45 - loss: 272.4645 - logits_profile_predictions_loss: 269.1908 - logcount_predictions_loss: 0.3088 15/1081 [..............................] - ETA: 2:44 - loss: 272.2816 - logits_profile_predictions_loss: 269.0107 - logcount_predictions_loss: 0.3086 16/1081 [..............................] - ETA: 2:44 - loss: 272.1282 - logits_profile_predictions_loss: 268.8605 - logcount_predictions_loss: 0.3083 17/1081 [..............................] - ETA: 2:44 - loss: 271.9804 - logits_profile_predictions_loss: 268.7153 - logcount_predictions_loss: 0.3080 18/1081 [..............................] - ETA: 2:44 - loss: 271.8312 - logits_profile_predictions_loss: 268.5694 - logcount_predictions_loss: 0.3077 19/1081 [..............................] - ETA: 2:44 - loss: 271.7389 - logits_profile_predictions_loss: 268.4804 - logcount_predictions_loss: 0.3074 20/1081 [..............................] - ETA: 2:43 - loss: 271.6691 - logits_profile_predictions_loss: 268.4164 - logcount_predictions_loss: 0.3069 21/1081 [..............................] - ETA: 2:43 - loss: 271.5752 - logits_profile_predictions_loss: 268.3297 - logcount_predictions_loss: 0.3062 22/1081 [..............................] - ETA: 2:43 - loss: 271.4103 - logits_profile_predictions_loss: 268.1702 - logcount_predictions_loss: 0.3057 23/1081 [..............................] - ETA: 2:43 - loss: 271.3004 - logits_profile_predictions_loss: 268.0646 - logcount_predictions_loss: 0.3053 24/1081 [..............................] - ETA: 2:43 - loss: 271.1951 - logits_profile_predictions_loss: 267.9635 - logcount_predictions_loss: 0.3049 25/1081 [..............................] - ETA: 2:43 - loss: 271.0774 - logits_profile_predictions_loss: 267.8501 - logcount_predictions_loss: 0.3045 26/1081 [..............................] - ETA: 2:42 - loss: 270.9486 - logits_profile_predictions_loss: 267.7257 - logcount_predictions_loss: 0.3041 27/1081 [..............................] - ETA: 2:42 - loss: 270.8133 - logits_profile_predictions_loss: 267.5944 - logcount_predictions_loss: 0.3037 28/1081 [..............................] - ETA: 2:42 - loss: 270.7115 - logits_profile_predictions_loss: 267.4930 - logcount_predictions_loss: 0.3036 29/1081 [..............................] - ETA: 2:42 - loss: 270.6405 - logits_profile_predictions_loss: 267.4229 - logcount_predictions_loss: 0.3035 30/1081 [..............................] - ETA: 2:42 - loss: 270.5541 - logits_profile_predictions_loss: 267.3378 - logcount_predictions_loss: 0.3034 31/1081 [..............................] - ETA: 2:42 - loss: 270.4528 - logits_profile_predictions_loss: 267.2377 - logcount_predictions_loss: 0.3033 32/1081 [..............................] - ETA: 2:41 - loss: 270.3517 - logits_profile_predictions_loss: 267.1390 - logcount_predictions_loss: 0.3031 33/1081 [..............................] - ETA: 2:41 - loss: 270.2657 - logits_profile_predictions_loss: 267.0545 - logcount_predictions_loss: 0.3029 34/1081 [..............................] - ETA: 2:41 - loss: 270.1652 - logits_profile_predictions_loss: 266.9552 - logcount_predictions_loss: 0.3028 35/1081 [..............................] - ETA: 2:41 - loss: 270.0670 - logits_profile_predictions_loss: 266.8589 - logcount_predictions_loss: 0.3027 36/1081 [..............................] - ETA: 2:41 - loss: 269.9772 - logits_profile_predictions_loss: 266.7716 - logcount_predictions_loss: 0.3024 37/1081 [>.............................] - ETA: 2:41 - loss: 269.8981 - logits_profile_predictions_loss: 266.6949 - logcount_predictions_loss: 0.3022 38/1081 [>.............................] - ETA: 2:40 - loss: 269.8166 - logits_profile_predictions_loss: 266.6160 - logcount_predictions_loss: 0.3019 39/1081 [>.............................] - ETA: 2:40 - loss: 269.7430 - logits_profile_predictions_loss: 266.5448 - logcount_predictions_loss: 0.3017 40/1081 [>.............................] - ETA: 2:40 - loss: 269.6775 - logits_profile_predictions_loss: 266.4821 - logcount_predictions_loss: 0.3015 41/1081 [>.............................] - ETA: 2:40 - loss: 269.5948 - logits_profile_predictions_loss: 266.4020 - logcount_predictions_loss: 0.3012 42/1081 [>.............................] - ETA: 2:40 - loss: 269.5114 - logits_profile_predictions_loss: 266.3204 - logcount_predictions_loss: 0.3010 43/1081 [>.............................] - ETA: 2:40 - loss: 269.4298 - logits_profile_predictions_loss: 266.2406 - logcount_predictions_loss: 0.3009 44/1081 [>.............................] - ETA: 2:39 - loss: 269.3508 - logits_profile_predictions_loss: 266.1634 - logcount_predictions_loss: 0.3007 45/1081 [>.............................] - ETA: 2:39 - loss: 269.2830 - logits_profile_predictions_loss: 266.0968 - logcount_predictions_loss: 0.3006 46/1081 [>.............................] - ETA: 2:39 - loss: 269.2185 - logits_profile_predictions_loss: 266.0337 - logcount_predictions_loss: 0.3005 47/1081 [>.............................] - ETA: 2:39 - loss: 269.1673 - logits_profile_predictions_loss: 265.9840 - logcount_predictions_loss: 0.3003 48/1081 [>.............................] - ETA: 2:39 - loss: 269.1142 - logits_profile_predictions_loss: 265.9322 - logcount_predictions_loss: 0.3002 49/1081 [>.............................] - ETA: 2:39 - loss: 269.0631 - logits_profile_predictions_loss: 265.8825 - logcount_predictions_loss: 0.3001 50/1081 [>.............................] - ETA: 2:39 - loss: 269.0169 - logits_profile_predictions_loss: 265.8377 - logcount_predictions_loss: 0.2999 51/1081 [>.............................] - ETA: 2:38 - loss: 268.9770 - logits_profile_predictions_loss: 265.7993 - logcount_predictions_loss: 0.2998 52/1081 [>.............................] - ETA: 2:38 - loss: 268.9432 - logits_profile_predictions_loss: 265.7669 - logcount_predictions_loss: 0.2996 53/1081 [>.............................] - ETA: 2:38 - loss: 268.8962 - logits_profile_predictions_loss: 265.7213 - logcount_predictions_loss: 0.2995 54/1081 [>.............................] - ETA: 2:38 - loss: 268.8602 - logits_profile_predictions_loss: 265.6868 - logcount_predictions_loss: 0.2994 55/1081 [>.............................] - ETA: 2:38 - loss: 268.8217 - logits_profile_predictions_loss: 265.6499 - logcount_predictions_loss: 0.2992 56/1081 [>.............................] - ETA: 2:38 - loss: 268.7813 - logits_profile_predictions_loss: 265.6110 - logcount_predictions_loss: 0.2991 57/1081 [>.............................] - ETA: 2:37 - loss: 268.7378 - logits_profile_predictions_loss: 265.5691 - logcount_predictions_loss: 0.2989 58/1081 [>.............................] - ETA: 2:37 - loss: 268.7010 - logits_profile_predictions_loss: 265.5337 - logcount_predictions_loss: 0.2988 59/1081 [>.............................] - ETA: 2:37 - loss: 268.6644 - logits_profile_predictions_loss: 265.4985 - logcount_predictions_loss: 0.2987 60/1081 [>.............................] - ETA: 2:37 - loss: 268.6286 - logits_profile_predictions_loss: 265.4642 - logcount_predictions_loss: 0.2985 61/1081 [>.............................] - ETA: 2:37 - loss: 268.5911 - logits_profile_predictions_loss: 265.4284 - logcount_predictions_loss: 0.2984 62/1081 [>.............................] - ETA: 2:37 - loss: 268.5546 - logits_profile_predictions_loss: 265.3934 - logcount_predictions_loss: 0.2982 63/1081 [>.............................] - ETA: 2:36 - loss: 268.5193 - logits_profile_predictions_loss: 265.3597 - logcount_predictions_loss: 0.2981 64/1081 [>.............................] - ETA: 2:36 - loss: 268.4834 - logits_profile_predictions_loss: 265.3254 - logcount_predictions_loss: 0.2979 65/1081 [>.............................] - ETA: 2:36 - loss: 268.4486 - logits_profile_predictions_loss: 265.2923 - logcount_predictions_loss: 0.2978 66/1081 [>.............................] - ETA: 2:36 - loss: 268.4136 - logits_profile_predictions_loss: 265.2591 - logcount_predictions_loss: 0.2976 67/1081 [>.............................] - ETA: 2:36 - loss: 268.3757 - logits_profile_predictions_loss: 265.2229 - logcount_predictions_loss: 0.2974 68/1081 [>.............................] - ETA: 2:36 - loss: 268.3412 - logits_profile_predictions_loss: 265.1899 - logcount_predictions_loss: 0.2973 69/1081 [>.............................] - ETA: 2:36 - loss: 268.3043 - logits_profile_predictions_loss: 265.1545 - logcount_predictions_loss: 0.2972 70/1081 [>.............................] - ETA: 2:35 - loss: 268.2633 - logits_profile_predictions_loss: 265.1150 - logcount_predictions_loss: 0.2970 71/1081 [>.............................] - ETA: 2:35 - loss: 268.2265 - logits_profile_predictions_loss: 265.0795 - logcount_predictions_loss: 0.2969 72/1081 [>.............................] - ETA: 2:35 - loss: 268.1960 - logits_profile_predictions_loss: 265.0504 - logcount_predictions_loss: 0.2968 73/1081 [=>............................] - ETA: 2:35 - loss: 268.1624 - logits_profile_predictions_loss: 265.0182 - logcount_predictions_loss: 0.2966 74/1081 [=>............................] - ETA: 2:35 - loss: 268.1372 - logits_profile_predictions_loss: 264.9945 - logcount_predictions_loss: 0.2965 75/1081 [=>............................] - ETA: 2:35 - loss: 268.1123 - logits_profile_predictions_loss: 264.9708 - logcount_predictions_loss: 0.2964 76/1081 [=>............................] - ETA: 2:34 - loss: 268.0851 - logits_profile_predictions_loss: 264.9448 - logcount_predictions_loss: 0.2963 77/1081 [=>............................] - ETA: 2:34 - loss: 268.0584 - logits_profile_predictions_loss: 264.9194 - logcount_predictions_loss: 0.2961 78/1081 [=>............................] - ETA: 2:34 - loss: 268.0326 - logits_profile_predictions_loss: 264.8946 - logcount_predictions_loss: 0.2960 79/1081 [=>............................] - ETA: 2:34 - loss: 268.0095 - logits_profile_predictions_loss: 264.8726 - logcount_predictions_loss: 0.2959 80/1081 [=>............................] - ETA: 2:34 - loss: 267.9838 - logits_profile_predictions_loss: 264.8479 - logcount_predictions_loss: 0.2958 81/1081 [=>............................] - ETA: 2:34 - loss: 267.9577 - logits_profile_predictions_loss: 264.8228 - logcount_predictions_loss: 0.2957 82/1081 [=>............................] - ETA: 2:33 - loss: 267.9303 - logits_profile_predictions_loss: 264.7963 - logcount_predictions_loss: 0.2957 83/1081 [=>............................] - ETA: 2:33 - loss: 267.9058 - logits_profile_predictions_loss: 264.7728 - logcount_predictions_loss: 0.2956 84/1081 [=>............................] - ETA: 2:33 - loss: 267.8847 - logits_profile_predictions_loss: 264.7525 - logcount_predictions_loss: 0.2955 85/1081 [=>............................] - ETA: 2:33 - loss: 267.8642 - logits_profile_predictions_loss: 264.7329 - logcount_predictions_loss: 0.2954 86/1081 [=>............................] - ETA: 2:33 - loss: 267.8476 - logits_profile_predictions_loss: 264.7172 - logcount_predictions_loss: 0.2953 87/1081 [=>............................] - ETA: 2:33 - loss: 267.8332 - logits_profile_predictions_loss: 264.7037 - logcount_predictions_loss: 0.2952 88/1081 [=>............................] - ETA: 2:33 - loss: 267.8174 - logits_profile_predictions_loss: 264.6886 - logcount_predictions_loss: 0.2952 89/1081 [=>............................] - ETA: 2:32 - loss: 267.7979 - logits_profile_predictions_loss: 264.6697 - logcount_predictions_loss: 0.2951 90/1081 [=>............................] - ETA: 2:32 - loss: 267.7772 - logits_profile_predictions_loss: 264.6498 - logcount_predictions_loss: 0.2950 91/1081 [=>............................] - ETA: 2:32 - loss: 267.7556 - logits_profile_predictions_loss: 264.6289 - logcount_predictions_loss: 0.2950 92/1081 [=>............................] - ETA: 2:32 - loss: 267.7330 - logits_profile_predictions_loss: 264.6068 - logcount_predictions_loss: 0.2949 93/1081 [=>............................] - ETA: 2:32 - loss: 267.7089 - logits_profile_predictions_loss: 264.5834 - logcount_predictions_loss: 0.2949 94/1081 [=>............................] - ETA: 2:32 - loss: 267.6878 - logits_profile_predictions_loss: 264.5629 - logcount_predictions_loss: 0.2948 95/1081 [=>............................] - ETA: 2:31 - loss: 267.6633 - logits_profile_predictions_loss: 264.5391 - logcount_predictions_loss: 0.2947 96/1081 [=>............................] - ETA: 2:31 - loss: 267.6368 - logits_profile_predictions_loss: 264.5131 - logcount_predictions_loss: 0.2947 97/1081 [=>............................] - ETA: 2:31 - loss: 267.6103 - logits_profile_predictions_loss: 264.4871 - logcount_predictions_loss: 0.2946 98/1081 [=>............................] - ETA: 2:31 - loss: 267.5833 - logits_profile_predictions_loss: 264.4607 - logcount_predictions_loss: 0.2946 99/1081 [=>............................] - ETA: 2:31 - loss: 267.5577 - logits_profile_predictions_loss: 264.4357 - logcount_predictions_loss: 0.2945 100/1081 [=>............................] - ETA: 2:31 - loss: 267.5320 - logits_profile_predictions_loss: 264.4105 - logcount_predictions_loss: 0.2945 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[==>...........................] - ETA: 2:27 - loss: 267.1335 - logits_profile_predictions_loss: 264.0160 - logcount_predictions_loss: 0.2941 128/1081 [==>...........................] - ETA: 2:27 - loss: 267.1286 - logits_profile_predictions_loss: 264.0111 - logcount_predictions_loss: 0.2941 129/1081 [==>...........................] - ETA: 2:26 - loss: 267.1247 - logits_profile_predictions_loss: 264.0071 - logcount_predictions_loss: 0.2941 130/1081 [==>...........................] - ETA: 2:26 - loss: 267.1207 - logits_profile_predictions_loss: 264.0031 - logcount_predictions_loss: 0.2941 131/1081 [==>...........................] - ETA: 2:26 - loss: 267.1172 - logits_profile_predictions_loss: 263.9995 - logcount_predictions_loss: 0.2941 132/1081 [==>...........................] - ETA: 2:26 - loss: 267.1150 - logits_profile_predictions_loss: 263.9971 - logcount_predictions_loss: 0.2941 133/1081 [==>...........................] - ETA: 2:26 - loss: 267.1116 - 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[===>..........................] - ETA: 2:23 - loss: 267.1173 - logits_profile_predictions_loss: 263.9968 - logcount_predictions_loss: 0.2944 154/1081 [===>..........................] - ETA: 2:22 - loss: 267.1196 - logits_profile_predictions_loss: 263.9990 - logcount_predictions_loss: 0.2944 155/1081 [===>..........................] - ETA: 2:22 - loss: 267.1223 - logits_profile_predictions_loss: 264.0016 - logcount_predictions_loss: 0.2944 156/1081 [===>..........................] - ETA: 2:22 - loss: 267.1253 - logits_profile_predictions_loss: 264.0045 - logcount_predictions_loss: 0.2944 157/1081 [===>..........................] - ETA: 2:22 - loss: 267.1287 - logits_profile_predictions_loss: 264.0078 - logcount_predictions_loss: 0.2944 158/1081 [===>..........................] - ETA: 2:22 - loss: 267.1314 - logits_profile_predictions_loss: 264.0105 - logcount_predictions_loss: 0.2944 159/1081 [===>..........................] - ETA: 2:22 - loss: 267.1338 - 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[===>..........................] - ETA: 2:21 - loss: 267.1588 - logits_profile_predictions_loss: 264.0378 - logcount_predictions_loss: 0.2944 167/1081 [===>..........................] - ETA: 2:20 - loss: 267.1621 - logits_profile_predictions_loss: 264.0411 - logcount_predictions_loss: 0.2944 168/1081 [===>..........................] - ETA: 2:20 - loss: 267.1657 - logits_profile_predictions_loss: 264.0448 - logcount_predictions_loss: 0.2944 169/1081 [===>..........................] - ETA: 2:20 - loss: 267.1701 - logits_profile_predictions_loss: 264.0492 - logcount_predictions_loss: 0.2944 170/1081 [===>..........................] - ETA: 2:20 - loss: 267.1743 - logits_profile_predictions_loss: 264.0535 - logcount_predictions_loss: 0.2944 171/1081 [===>..........................] - ETA: 2:20 - loss: 267.1782 - logits_profile_predictions_loss: 264.0574 - logcount_predictions_loss: 0.2944 172/1081 [===>..........................] - ETA: 2:20 - loss: 267.1825 - 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[====>.........................] - ETA: 2:17 - loss: 267.2676 - logits_profile_predictions_loss: 264.1464 - logcount_predictions_loss: 0.2944 193/1081 [====>.........................] - ETA: 2:16 - loss: 267.2726 - logits_profile_predictions_loss: 264.1514 - logcount_predictions_loss: 0.2944 194/1081 [====>.........................] - ETA: 2:16 - loss: 267.2770 - logits_profile_predictions_loss: 264.1558 - logcount_predictions_loss: 0.2945 195/1081 [====>.........................] - ETA: 2:16 - loss: 267.2817 - logits_profile_predictions_loss: 264.1604 - logcount_predictions_loss: 0.2945 196/1081 [====>.........................] - ETA: 2:16 - loss: 267.2860 - logits_profile_predictions_loss: 264.1646 - logcount_predictions_loss: 0.2945 197/1081 [====>.........................] - ETA: 2:16 - loss: 267.2896 - logits_profile_predictions_loss: 264.1682 - logcount_predictions_loss: 0.2945 198/1081 [====>.........................] - ETA: 2:16 - loss: 267.2933 - 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[====>.........................] - ETA: 2:15 - loss: 267.3140 - logits_profile_predictions_loss: 264.1918 - logcount_predictions_loss: 0.2945 206/1081 [====>.........................] - ETA: 2:14 - loss: 267.3164 - logits_profile_predictions_loss: 264.1940 - logcount_predictions_loss: 0.2946 207/1081 [====>.........................] - ETA: 2:14 - loss: 267.3188 - logits_profile_predictions_loss: 264.1963 - logcount_predictions_loss: 0.2946 208/1081 [====>.........................] - ETA: 2:14 - loss: 267.3205 - logits_profile_predictions_loss: 264.1979 - logcount_predictions_loss: 0.2946 209/1081 [====>.........................] - ETA: 2:14 - loss: 267.3219 - logits_profile_predictions_loss: 264.1992 - logcount_predictions_loss: 0.2946 210/1081 [====>.........................] - ETA: 2:14 - loss: 267.3235 - logits_profile_predictions_loss: 264.2006 - logcount_predictions_loss: 0.2946 211/1081 [====>.........................] - ETA: 2:14 - loss: 267.3251 - 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[=====>........................] - ETA: 2:13 - loss: 267.3344 - logits_profile_predictions_loss: 264.2099 - logcount_predictions_loss: 0.2948 219/1081 [=====>........................] - ETA: 2:12 - loss: 267.3357 - logits_profile_predictions_loss: 264.2110 - logcount_predictions_loss: 0.2948 220/1081 [=====>........................] - ETA: 2:12 - loss: 267.3369 - logits_profile_predictions_loss: 264.2119 - logcount_predictions_loss: 0.2948 221/1081 [=====>........................] - ETA: 2:12 - loss: 267.3382 - logits_profile_predictions_loss: 264.2130 - logcount_predictions_loss: 0.2948 222/1081 [=====>........................] - ETA: 2:12 - loss: 267.3398 - logits_profile_predictions_loss: 264.2143 - logcount_predictions_loss: 0.2949 223/1081 [=====>........................] - ETA: 2:12 - loss: 267.3409 - logits_profile_predictions_loss: 264.2152 - logcount_predictions_loss: 0.2949 224/1081 [=====>........................] - ETA: 2:12 - loss: 267.3419 - 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[..............................] - ETA: 2:44 - loss: 265.8889 - logits_profile_predictions_loss: 262.9610 - logcount_predictions_loss: 0.2762 13/1081 [..............................] - ETA: 2:44 - loss: 265.6053 - logits_profile_predictions_loss: 262.6858 - logcount_predictions_loss: 0.2754 14/1081 [..............................] - ETA: 2:44 - loss: 265.3522 - logits_profile_predictions_loss: 262.4354 - logcount_predictions_loss: 0.2752 15/1081 [..............................] - ETA: 2:44 - loss: 265.0353 - logits_profile_predictions_loss: 262.1188 - logcount_predictions_loss: 0.2751 16/1081 [..............................] - ETA: 2:44 - loss: 264.9513 - logits_profile_predictions_loss: 262.0337 - logcount_predictions_loss: 0.2752 17/1081 [..............................] - ETA: 2:44 - loss: 264.8397 - logits_profile_predictions_loss: 261.9237 - logcount_predictions_loss: 0.2751 18/1081 [..............................] - ETA: 2:43 - loss: 264.7555 - logits_profile_predictions_loss: 261.8409 - logcount_predictions_loss: 0.2750 19/1081 [..............................] - ETA: 2:43 - loss: 264.6968 - logits_profile_predictions_loss: 261.7842 - logcount_predictions_loss: 0.2748 20/1081 [..............................] - ETA: 2:43 - loss: 264.6729 - logits_profile_predictions_loss: 261.7603 - logcount_predictions_loss: 0.2748 21/1081 [..............................] - ETA: 2:43 - loss: 264.6651 - logits_profile_predictions_loss: 261.7509 - logcount_predictions_loss: 0.2749 22/1081 [..............................] - ETA: 2:43 - loss: 264.6183 - logits_profile_predictions_loss: 261.7021 - logcount_predictions_loss: 0.2751 23/1081 [..............................] - ETA: 2:43 - loss: 264.6005 - logits_profile_predictions_loss: 261.6802 - logcount_predictions_loss: 0.2755 24/1081 [..............................] - ETA: 2:42 - loss: 264.5514 - logits_profile_predictions_loss: 261.6281 - logcount_predictions_loss: 0.2758 25/1081 [..............................] - ETA: 2:42 - loss: 264.5196 - logits_profile_predictions_loss: 261.5951 - logcount_predictions_loss: 0.2759 26/1081 [..............................] - ETA: 2:42 - loss: 264.5102 - logits_profile_predictions_loss: 261.5842 - logcount_predictions_loss: 0.2760 27/1081 [..............................] - ETA: 2:42 - loss: 264.5027 - logits_profile_predictions_loss: 261.5760 - logcount_predictions_loss: 0.2761 28/1081 [..............................] - ETA: 2:42 - loss: 264.4998 - logits_profile_predictions_loss: 261.5719 - logcount_predictions_loss: 0.2762 29/1081 [..............................] - ETA: 2:42 - loss: 264.4887 - logits_profile_predictions_loss: 261.5589 - logcount_predictions_loss: 0.2764 30/1081 [..............................] - ETA: 2:42 - loss: 264.5081 - logits_profile_predictions_loss: 261.5768 - logcount_predictions_loss: 0.2765 31/1081 [..............................] - ETA: 2:42 - loss: 264.5299 - logits_profile_predictions_loss: 261.5971 - logcount_predictions_loss: 0.2767 32/1081 [..............................] - ETA: 2:41 - loss: 264.5388 - logits_profile_predictions_loss: 261.6043 - logcount_predictions_loss: 0.2768 33/1081 [..............................] - ETA: 2:41 - loss: 264.5584 - logits_profile_predictions_loss: 261.6225 - logcount_predictions_loss: 0.2770 34/1081 [..............................] - ETA: 2:41 - loss: 264.5798 - logits_profile_predictions_loss: 261.6427 - logcount_predictions_loss: 0.2771 35/1081 [..............................] - ETA: 2:41 - loss: 264.5769 - logits_profile_predictions_loss: 261.6378 - logcount_predictions_loss: 0.2773 36/1081 [..............................] - ETA: 2:41 - loss: 264.5519 - logits_profile_predictions_loss: 261.6114 - logcount_predictions_loss: 0.2774 37/1081 [>.............................] - ETA: 2:41 - loss: 264.5363 - logits_profile_predictions_loss: 261.5937 - logcount_predictions_loss: 0.2776 38/1081 [>.............................] - ETA: 2:40 - loss: 264.5143 - logits_profile_predictions_loss: 261.5699 - logcount_predictions_loss: 0.2778 39/1081 [>.............................] - ETA: 2:40 - loss: 264.5047 - logits_profile_predictions_loss: 261.5581 - logcount_predictions_loss: 0.2780 40/1081 [>.............................] - ETA: 2:40 - loss: 264.4895 - logits_profile_predictions_loss: 261.5409 - logcount_predictions_loss: 0.2782 41/1081 [>.............................] - ETA: 2:40 - loss: 264.4879 - logits_profile_predictions_loss: 261.5375 - logcount_predictions_loss: 0.2783 42/1081 [>.............................] - ETA: 2:40 - loss: 264.4896 - logits_profile_predictions_loss: 261.5377 - logcount_predictions_loss: 0.2785 43/1081 [>.............................] - ETA: 2:40 - loss: 264.5023 - logits_profile_predictions_loss: 261.5490 - logcount_predictions_loss: 0.2786 44/1081 [>.............................] - ETA: 2:39 - loss: 264.5208 - logits_profile_predictions_loss: 261.5668 - logcount_predictions_loss: 0.2787 45/1081 [>.............................] - ETA: 2:39 - loss: 264.5436 - logits_profile_predictions_loss: 261.5891 - logcount_predictions_loss: 0.2787 46/1081 [>.............................] - ETA: 2:39 - loss: 264.5537 - logits_profile_predictions_loss: 261.5991 - logcount_predictions_loss: 0.2787 47/1081 [>.............................] - ETA: 2:39 - loss: 264.5565 - logits_profile_predictions_loss: 261.6020 - logcount_predictions_loss: 0.2787 48/1081 [>.............................] - ETA: 2:39 - loss: 264.5623 - logits_profile_predictions_loss: 261.6080 - logcount_predictions_loss: 0.2787 49/1081 [>.............................] - ETA: 2:39 - loss: 264.5609 - logits_profile_predictions_loss: 261.6064 - logcount_predictions_loss: 0.2787 50/1081 [>.............................] - ETA: 2:39 - loss: 264.5613 - logits_profile_predictions_loss: 261.6067 - logcount_predictions_loss: 0.2787 51/1081 [>.............................] - ETA: 2:38 - loss: 264.5629 - logits_profile_predictions_loss: 261.6081 - logcount_predictions_loss: 0.2788 52/1081 [>.............................] - ETA: 2:38 - loss: 264.5735 - logits_profile_predictions_loss: 261.6183 - logcount_predictions_loss: 0.2788 53/1081 [>.............................] - ETA: 2:38 - loss: 264.5854 - logits_profile_predictions_loss: 261.6298 - logcount_predictions_loss: 0.2788 54/1081 [>.............................] - ETA: 2:38 - loss: 264.5894 - logits_profile_predictions_loss: 261.6334 - logcount_predictions_loss: 0.2789 55/1081 [>.............................] - ETA: 2:38 - loss: 264.5947 - logits_profile_predictions_loss: 261.6383 - logcount_predictions_loss: 0.2789 56/1081 [>.............................] - ETA: 2:38 - loss: 264.5934 - logits_profile_predictions_loss: 261.6367 - logcount_predictions_loss: 0.2789 57/1081 [>.............................] - ETA: 2:37 - loss: 264.5867 - logits_profile_predictions_loss: 261.6299 - logcount_predictions_loss: 0.2789 58/1081 [>.............................] - ETA: 2:37 - loss: 264.5783 - logits_profile_predictions_loss: 261.6213 - logcount_predictions_loss: 0.2790 59/1081 [>.............................] - ETA: 2:37 - loss: 264.5741 - logits_profile_predictions_loss: 261.6169 - logcount_predictions_loss: 0.2790 60/1081 [>.............................] - ETA: 2:37 - loss: 264.5704 - logits_profile_predictions_loss: 261.6130 - logcount_predictions_loss: 0.2790 61/1081 [>.............................] - ETA: 2:37 - loss: 264.5629 - logits_profile_predictions_loss: 261.6052 - logcount_predictions_loss: 0.2790 62/1081 [>.............................] - ETA: 2:37 - loss: 264.5487 - logits_profile_predictions_loss: 261.5906 - logcount_predictions_loss: 0.2791 63/1081 [>.............................] - ETA: 2:36 - loss: 264.5374 - logits_profile_predictions_loss: 261.5790 - logcount_predictions_loss: 0.2791 64/1081 [>.............................] - ETA: 2:36 - loss: 264.5222 - logits_profile_predictions_loss: 261.5635 - logcount_predictions_loss: 0.2791 65/1081 [>.............................] - ETA: 2:36 - loss: 264.5077 - logits_profile_predictions_loss: 261.5488 - logcount_predictions_loss: 0.2791 66/1081 [>.............................] - ETA: 2:36 - loss: 264.4913 - logits_profile_predictions_loss: 261.5320 - logcount_predictions_loss: 0.2792 67/1081 [>.............................] - ETA: 2:36 - loss: 264.4747 - logits_profile_predictions_loss: 261.5152 - logcount_predictions_loss: 0.2792 68/1081 [>.............................] - ETA: 2:36 - loss: 264.4621 - logits_profile_predictions_loss: 261.5023 - logcount_predictions_loss: 0.2792 69/1081 [>.............................] - ETA: 2:36 - loss: 264.4519 - logits_profile_predictions_loss: 261.4918 - logcount_predictions_loss: 0.2793 70/1081 [>.............................] - ETA: 2:35 - loss: 264.4449 - logits_profile_predictions_loss: 261.4847 - logcount_predictions_loss: 0.2793 71/1081 [>.............................] - ETA: 2:35 - loss: 264.4411 - logits_profile_predictions_loss: 261.4808 - logcount_predictions_loss: 0.2793 72/1081 [>.............................] - ETA: 2:35 - loss: 264.4427 - logits_profile_predictions_loss: 261.4825 - logcount_predictions_loss: 0.2793 73/1081 [=>............................] - ETA: 2:35 - loss: 264.4428 - logits_profile_predictions_loss: 261.4827 - logcount_predictions_loss: 0.2793 74/1081 [=>............................] - ETA: 2:35 - loss: 264.4431 - logits_profile_predictions_loss: 261.4829 - logcount_predictions_loss: 0.2793 75/1081 [=>............................] - ETA: 2:35 - loss: 264.4439 - logits_profile_predictions_loss: 261.4837 - logcount_predictions_loss: 0.2793 76/1081 [=>............................] - ETA: 2:34 - loss: 264.4425 - logits_profile_predictions_loss: 261.4821 - logcount_predictions_loss: 0.2793 77/1081 [=>............................] - ETA: 2:34 - loss: 264.4390 - logits_profile_predictions_loss: 261.4786 - logcount_predictions_loss: 0.2793 78/1081 [=>............................] - ETA: 2:34 - loss: 264.4376 - logits_profile_predictions_loss: 261.4771 - logcount_predictions_loss: 0.2793 79/1081 [=>............................] - ETA: 2:34 - loss: 264.4361 - logits_profile_predictions_loss: 261.4754 - logcount_predictions_loss: 0.2793 80/1081 [=>............................] - ETA: 2:34 - loss: 264.4360 - logits_profile_predictions_loss: 261.4752 - logcount_predictions_loss: 0.2793 81/1081 [=>............................] - ETA: 2:34 - loss: 264.4364 - logits_profile_predictions_loss: 261.4754 - logcount_predictions_loss: 0.2793 82/1081 [=>............................] - ETA: 2:34 - loss: 264.4377 - logits_profile_predictions_loss: 261.4765 - logcount_predictions_loss: 0.2794 83/1081 [=>............................] - ETA: 2:33 - loss: 264.4371 - logits_profile_predictions_loss: 261.4759 - logcount_predictions_loss: 0.2794 84/1081 [=>............................] - ETA: 2:33 - loss: 264.4346 - logits_profile_predictions_loss: 261.4734 - logcount_predictions_loss: 0.2794 85/1081 [=>............................] - ETA: 2:33 - loss: 264.4360 - logits_profile_predictions_loss: 261.4748 - logcount_predictions_loss: 0.2794 86/1081 [=>............................] - ETA: 2:33 - loss: 264.4408 - logits_profile_predictions_loss: 261.4796 - logcount_predictions_loss: 0.2794 87/1081 [=>............................] - ETA: 2:33 - loss: 264.4466 - logits_profile_predictions_loss: 261.4855 - logcount_predictions_loss: 0.2794 88/1081 [=>............................] - ETA: 2:33 - loss: 264.4528 - logits_profile_predictions_loss: 261.4919 - logcount_predictions_loss: 0.2793 89/1081 [=>............................] - ETA: 2:32 - loss: 264.4579 - logits_profile_predictions_loss: 261.4972 - logcount_predictions_loss: 0.2793 90/1081 [=>............................] - ETA: 2:32 - loss: 264.4617 - logits_profile_predictions_loss: 261.5013 - logcount_predictions_loss: 0.2793 91/1081 [=>............................] - ETA: 2:32 - loss: 264.4669 - logits_profile_predictions_loss: 261.5068 - logcount_predictions_loss: 0.2793 92/1081 [=>............................] - ETA: 2:32 - loss: 264.4734 - logits_profile_predictions_loss: 261.5136 - logcount_predictions_loss: 0.2792 93/1081 [=>............................] - ETA: 2:32 - loss: 264.4789 - logits_profile_predictions_loss: 261.5194 - logcount_predictions_loss: 0.2792 94/1081 [=>............................] - ETA: 2:32 - loss: 264.4833 - logits_profile_predictions_loss: 261.5240 - logcount_predictions_loss: 0.2792 95/1081 [=>............................] - ETA: 2:32 - loss: 264.4851 - logits_profile_predictions_loss: 261.5260 - logcount_predictions_loss: 0.2792 96/1081 [=>............................] - ETA: 2:31 - loss: 264.4829 - logits_profile_predictions_loss: 261.5240 - logcount_predictions_loss: 0.2791 97/1081 [=>............................] - ETA: 2:31 - loss: 264.4792 - logits_profile_predictions_loss: 261.5206 - logcount_predictions_loss: 0.2791 98/1081 [=>............................] - ETA: 2:31 - loss: 264.4738 - logits_profile_predictions_loss: 261.5155 - logcount_predictions_loss: 0.2791 99/1081 [=>............................] - ETA: 2:31 - loss: 264.4684 - logits_profile_predictions_loss: 261.5105 - logcount_predictions_loss: 0.2790 100/1081 [=>............................] - ETA: 2:31 - loss: 264.4662 - logits_profile_predictions_loss: 261.5085 - logcount_predictions_loss: 0.2790 101/1081 [=>............................] - ETA: 2:31 - loss: 264.4654 - logits_profile_predictions_loss: 261.5079 - logcount_predictions_loss: 0.2790 102/1081 [=>............................] - ETA: 2:31 - loss: 264.4646 - logits_profile_predictions_loss: 261.5073 - logcount_predictions_loss: 0.2790 103/1081 [=>............................] - ETA: 2:30 - loss: 264.4627 - logits_profile_predictions_loss: 261.5056 - logcount_predictions_loss: 0.2790 104/1081 [=>............................] - ETA: 2:30 - loss: 264.4599 - logits_profile_predictions_loss: 261.5030 - logcount_predictions_loss: 0.2790 105/1081 [=>............................] - ETA: 2:30 - loss: 264.4577 - logits_profile_predictions_loss: 261.5010 - logcount_predictions_loss: 0.2789 106/1081 [=>............................] - ETA: 2:30 - loss: 264.4526 - logits_profile_predictions_loss: 261.4961 - logcount_predictions_loss: 0.2789 107/1081 [=>............................] - ETA: 2:30 - loss: 264.4471 - logits_profile_predictions_loss: 261.4908 - logcount_predictions_loss: 0.2789 108/1081 [=>............................] - ETA: 2:30 - loss: 264.4396 - logits_profile_predictions_loss: 261.4834 - logcount_predictions_loss: 0.2789 109/1081 [==>...........................] - ETA: 2:29 - loss: 264.4342 - logits_profile_predictions_loss: 261.4780 - logcount_predictions_loss: 0.2789 110/1081 [==>...........................] - ETA: 2:29 - loss: 264.4264 - logits_profile_predictions_loss: 261.4702 - logcount_predictions_loss: 0.2789 111/1081 [==>...........................] - ETA: 2:29 - loss: 264.4179 - logits_profile_predictions_loss: 261.4615 - logcount_predictions_loss: 0.2789 112/1081 [==>...........................] - ETA: 2:29 - loss: 264.4093 - logits_profile_predictions_loss: 261.4528 - logcount_predictions_loss: 0.2789 113/1081 [==>...........................] - ETA: 2:29 - loss: 264.4021 - logits_profile_predictions_loss: 261.4454 - logcount_predictions_loss: 0.2789 114/1081 [==>...........................] - ETA: 2:29 - loss: 264.3963 - logits_profile_predictions_loss: 261.4394 - logcount_predictions_loss: 0.2790 115/1081 [==>...........................] - ETA: 2:29 - loss: 264.3901 - logits_profile_predictions_loss: 261.4330 - logcount_predictions_loss: 0.2790 116/1081 [==>...........................] - ETA: 2:28 - loss: 264.3867 - logits_profile_predictions_loss: 261.4294 - logcount_predictions_loss: 0.2790 117/1081 [==>...........................] - ETA: 2:28 - loss: 264.3851 - logits_profile_predictions_loss: 261.4276 - logcount_predictions_loss: 0.2790 118/1081 [==>...........................] - ETA: 2:28 - loss: 264.3831 - logits_profile_predictions_loss: 261.4254 - logcount_predictions_loss: 0.2790 119/1081 [==>...........................] - ETA: 2:28 - loss: 264.3828 - logits_profile_predictions_loss: 261.4248 - logcount_predictions_loss: 0.2791 120/1081 [==>...........................] - ETA: 2:28 - loss: 264.3809 - logits_profile_predictions_loss: 261.4227 - logcount_predictions_loss: 0.2791 121/1081 [==>...........................] - ETA: 2:28 - loss: 264.3799 - logits_profile_predictions_loss: 261.4216 - logcount_predictions_loss: 0.2791 122/1081 [==>...........................] - ETA: 2:27 - loss: 264.3793 - logits_profile_predictions_loss: 261.4209 - logcount_predictions_loss: 0.2791 123/1081 [==>...........................] - ETA: 2:27 - loss: 264.3784 - logits_profile_predictions_loss: 261.4198 - logcount_predictions_loss: 0.2791 124/1081 [==>...........................] - ETA: 2:27 - loss: 264.3755 - logits_profile_predictions_loss: 261.4167 - logcount_predictions_loss: 0.2791 125/1081 [==>...........................] - ETA: 2:27 - loss: 264.3732 - logits_profile_predictions_loss: 261.4141 - logcount_predictions_loss: 0.2792 126/1081 [==>...........................] - ETA: 2:27 - loss: 264.3711 - logits_profile_predictions_loss: 261.4117 - logcount_predictions_loss: 0.2792 127/1081 [==>...........................] - ETA: 2:27 - loss: 264.3677 - logits_profile_predictions_loss: 261.4081 - logcount_predictions_loss: 0.2792 128/1081 [==>...........................] - ETA: 2:27 - loss: 264.3650 - logits_profile_predictions_loss: 261.4052 - logcount_predictions_loss: 0.2792 129/1081 [==>...........................] - ETA: 2:26 - loss: 264.3630 - logits_profile_predictions_loss: 261.4029 - logcount_predictions_loss: 0.2793 130/1081 [==>...........................] - ETA: 2:26 - loss: 264.3609 - logits_profile_predictions_loss: 261.4006 - logcount_predictions_loss: 0.2793 131/1081 [==>...........................] - ETA: 2:26 - loss: 264.3578 - logits_profile_predictions_loss: 261.3972 - logcount_predictions_loss: 0.2793 132/1081 [==>...........................] - ETA: 2:26 - loss: 264.3546 - logits_profile_predictions_loss: 261.3938 - logcount_predictions_loss: 0.2793 133/1081 [==>...........................] - ETA: 2:26 - loss: 264.3516 - logits_profile_predictions_loss: 261.3905 - logcount_predictions_loss: 0.2794 134/1081 [==>...........................] - ETA: 2:26 - loss: 264.3481 - logits_profile_predictions_loss: 261.3868 - logcount_predictions_loss: 0.2794 135/1081 [==>...........................] - ETA: 2:25 - loss: 264.3445 - logits_profile_predictions_loss: 261.3830 - logcount_predictions_loss: 0.2794 136/1081 [==>...........................] - ETA: 2:25 - loss: 264.3409 - logits_profile_predictions_loss: 261.3792 - logcount_predictions_loss: 0.2794 137/1081 [==>...........................] - ETA: 2:25 - loss: 264.3386 - logits_profile_predictions_loss: 261.3768 - logcount_predictions_loss: 0.2794 138/1081 [==>...........................] - ETA: 2:25 - loss: 264.3376 - logits_profile_predictions_loss: 261.3757 - logcount_predictions_loss: 0.2794 139/1081 [==>...........................] - ETA: 2:25 - loss: 264.3361 - logits_profile_predictions_loss: 261.3740 - logcount_predictions_loss: 0.2794 140/1081 [==>...........................] - ETA: 2:25 - loss: 264.3350 - logits_profile_predictions_loss: 261.3728 - logcount_predictions_loss: 0.2795 141/1081 [==>...........................] - ETA: 2:25 - loss: 264.3352 - logits_profile_predictions_loss: 261.3728 - logcount_predictions_loss: 0.2795 142/1081 [==>...........................] - ETA: 2:24 - loss: 264.3362 - logits_profile_predictions_loss: 261.3737 - logcount_predictions_loss: 0.2795 143/1081 [==>...........................] - ETA: 2:24 - loss: 264.3360 - 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[====>.........................] - ETA: 2:13 - loss: 264.4593 - logits_profile_predictions_loss: 261.4963 - logcount_predictions_loss: 0.2795 216/1081 [====>.........................] - ETA: 2:13 - loss: 264.4616 - logits_profile_predictions_loss: 261.4988 - logcount_predictions_loss: 0.2795 217/1081 [=====>........................] - ETA: 2:13 - loss: 264.4638 - logits_profile_predictions_loss: 261.5011 - logcount_predictions_loss: 0.2795 218/1081 [=====>........................] - ETA: 2:13 - loss: 264.4661 - logits_profile_predictions_loss: 261.5035 - logcount_predictions_loss: 0.2795 219/1081 [=====>........................] - ETA: 2:12 - loss: 264.4683 - logits_profile_predictions_loss: 261.5058 - logcount_predictions_loss: 0.2795 220/1081 [=====>........................] - ETA: 2:12 - loss: 264.4706 - logits_profile_predictions_loss: 261.5082 - logcount_predictions_loss: 0.2795 221/1081 [=====>........................] - ETA: 2:12 - loss: 264.4732 - 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[=====>........................] - ETA: 2:11 - loss: 264.4945 - logits_profile_predictions_loss: 261.5327 - logcount_predictions_loss: 0.2794 229/1081 [=====>........................] - ETA: 2:11 - loss: 264.4980 - logits_profile_predictions_loss: 261.5362 - logcount_predictions_loss: 0.2794 230/1081 [=====>........................] - ETA: 2:11 - loss: 264.5009 - logits_profile_predictions_loss: 261.5393 - logcount_predictions_loss: 0.2794 231/1081 [=====>........................] - ETA: 2:11 - loss: 264.5041 - logits_profile_predictions_loss: 261.5425 - logcount_predictions_loss: 0.2794 232/1081 [=====>........................] - ETA: 2:10 - loss: 264.5073 - logits_profile_predictions_loss: 261.5458 - logcount_predictions_loss: 0.2794 233/1081 [=====>........................] - ETA: 2:10 - loss: 264.5103 - logits_profile_predictions_loss: 261.5490 - logcount_predictions_loss: 0.2794 234/1081 [=====>........................] - ETA: 2:10 - loss: 264.5131 - 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[=====>........................] - ETA: 2:09 - loss: 264.5357 - logits_profile_predictions_loss: 261.5753 - logcount_predictions_loss: 0.2793 242/1081 [=====>........................] - ETA: 2:09 - loss: 264.5390 - logits_profile_predictions_loss: 261.5787 - logcount_predictions_loss: 0.2793 243/1081 [=====>........................] - ETA: 2:09 - loss: 264.5418 - logits_profile_predictions_loss: 261.5817 - logcount_predictions_loss: 0.2793 244/1081 [=====>........................] - ETA: 2:09 - loss: 264.5446 - logits_profile_predictions_loss: 261.5846 - logcount_predictions_loss: 0.2792 245/1081 [=====>........................] - ETA: 2:08 - loss: 264.5473 - logits_profile_predictions_loss: 261.5873 - logcount_predictions_loss: 0.2792 246/1081 [=====>........................] - ETA: 2:08 - loss: 264.5498 - logits_profile_predictions_loss: 261.5900 - logcount_predictions_loss: 0.2792 247/1081 [=====>........................] - ETA: 2:08 - loss: 264.5525 - 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logits_profile_predictions_loss: 258.8771 - logcount_predictions_loss: 0.2891 36/1081 [..............................] - ETA: 2:40 - loss: 261.9164 - logits_profile_predictions_loss: 258.8571 - logcount_predictions_loss: 0.2886 37/1081 [>.............................] - ETA: 2:40 - loss: 261.8884 - logits_profile_predictions_loss: 258.8335 - logcount_predictions_loss: 0.2882 38/1081 [>.............................] - ETA: 2:40 - loss: 261.8857 - logits_profile_predictions_loss: 258.8353 - logcount_predictions_loss: 0.2878 39/1081 [>.............................] - ETA: 2:40 - loss: 261.8910 - logits_profile_predictions_loss: 258.8446 - logcount_predictions_loss: 0.2874 40/1081 [>.............................] - ETA: 2:40 - loss: 261.8914 - logits_profile_predictions_loss: 258.8481 - logcount_predictions_loss: 0.2871 41/1081 [>.............................] - ETA: 2:40 - loss: 261.8928 - logits_profile_predictions_loss: 258.8525 - logcount_predictions_loss: 0.2868 42/1081 [>.............................] - ETA: 2:39 - loss: 261.8884 - logits_profile_predictions_loss: 258.8508 - logcount_predictions_loss: 0.2866 43/1081 [>.............................] - ETA: 2:39 - loss: 261.8920 - logits_profile_predictions_loss: 258.8562 - logcount_predictions_loss: 0.2864 44/1081 [>.............................] - ETA: 2:39 - loss: 261.8997 - logits_profile_predictions_loss: 258.8655 - logcount_predictions_loss: 0.2862 45/1081 [>.............................] - ETA: 2:39 - loss: 261.9091 - logits_profile_predictions_loss: 258.8764 - logcount_predictions_loss: 0.2861 46/1081 [>.............................] - ETA: 2:39 - loss: 261.9294 - logits_profile_predictions_loss: 258.8981 - logcount_predictions_loss: 0.2860 47/1081 [>.............................] - ETA: 2:39 - loss: 261.9514 - logits_profile_predictions_loss: 258.9212 - logcount_predictions_loss: 0.2859 48/1081 [>.............................] - ETA: 2:38 - loss: 261.9722 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 258.7520 - logcount_predictions_loss: 0.2623 1050/1081 [============================>.] - ETA: 4s - loss: 261.5324 - logits_profile_predictions_loss: 258.7519 - logcount_predictions_loss: 0.2623 1051/1081 [============================>.] - ETA: 4s - loss: 261.5322 - logits_profile_predictions_loss: 258.7518 - logcount_predictions_loss: 0.2623 1052/1081 [============================>.] - ETA: 4s - loss: 261.5321 - logits_profile_predictions_loss: 258.7518 - logcount_predictions_loss: 0.2623 1053/1081 [============================>.] - ETA: 4s - loss: 261.5320 - logits_profile_predictions_loss: 258.7517 - logcount_predictions_loss: 0.2623 1054/1081 [============================>.] - ETA: 4s - loss: 261.5319 - logits_profile_predictions_loss: 258.7517 - logcount_predictions_loss: 0.2623 1055/1081 [============================>.] - ETA: 4s - loss: 261.5318 - logits_profile_predictions_loss: 258.7516 - logcount_predictions_loss: 0.2623 1056/1081 [============================>.] - ETA: 3s - loss: 261.5317 - logits_profile_predictions_loss: 258.7515 - logcount_predictions_loss: 0.2623 1057/1081 [============================>.] - ETA: 3s - loss: 261.5316 - logits_profile_predictions_loss: 258.7514 - logcount_predictions_loss: 0.2623 1058/1081 [============================>.] - ETA: 3s - loss: 261.5315 - logits_profile_predictions_loss: 258.7514 - logcount_predictions_loss: 0.2623 1059/1081 [============================>.] - ETA: 3s - loss: 261.5314 - logits_profile_predictions_loss: 258.7513 - logcount_predictions_loss: 0.2623 1060/1081 [============================>.] - ETA: 3s - loss: 261.5313 - logits_profile_predictions_loss: 258.7513 - logcount_predictions_loss: 0.2623 1061/1081 [============================>.] - ETA: 3s - loss: 261.5312 - logits_profile_predictions_loss: 258.7513 - logcount_predictions_loss: 0.2623 1062/1081 [============================>.] - ETA: 2s - loss: 261.5312 - logits_profile_predictions_loss: 258.7512 - logcount_predictions_loss: 0.2623 1063/1081 [============================>.] - ETA: 2s - loss: 261.5311 - logits_profile_predictions_loss: 258.7512 - logcount_predictions_loss: 0.2623 1064/1081 [============================>.] - ETA: 2s - loss: 261.5310 - logits_profile_predictions_loss: 258.7511 - logcount_predictions_loss: 0.2623 1065/1081 [============================>.] - ETA: 2s - loss: 261.5309 - logits_profile_predictions_loss: 258.7511 - logcount_predictions_loss: 0.2623 1066/1081 [============================>.] - ETA: 2s - loss: 261.5308 - logits_profile_predictions_loss: 258.7510 - logcount_predictions_loss: 0.2623 1067/1081 [============================>.] - ETA: 2s - loss: 261.5307 - logits_profile_predictions_loss: 258.7509 - logcount_predictions_loss: 0.2622 1068/1081 [============================>.] - ETA: 2s - loss: 261.5306 - logits_profile_predictions_loss: 258.7509 - logcount_predictions_loss: 0.2622 1069/1081 [============================>.] - ETA: 1s - loss: 261.5305 - logits_profile_predictions_loss: 258.7508 - logcount_predictions_loss: 0.2622 1070/1081 [============================>.] - ETA: 1s - loss: 261.5304 - logits_profile_predictions_loss: 258.7508 - logcount_predictions_loss: 0.2622 1071/1081 [============================>.] - ETA: 1s - loss: 261.5303 - logits_profile_predictions_loss: 258.7507 - logcount_predictions_loss: 0.2622 1072/1081 [============================>.] - ETA: 1s - loss: 261.5302 - logits_profile_predictions_loss: 258.7507 - logcount_predictions_loss: 0.2622 1073/1081 [============================>.] - ETA: 1s - loss: 261.5301 - logits_profile_predictions_loss: 258.7506 - logcount_predictions_loss: 0.2622 1074/1081 [============================>.] - ETA: 1s - loss: 261.5300 - logits_profile_predictions_loss: 258.7506 - logcount_predictions_loss: 0.2622 1075/1081 [============================>.] - ETA: 0s - loss: 261.5299 - logits_profile_predictions_loss: 258.7505 - logcount_predictions_loss: 0.2622 1076/1081 [============================>.] - ETA: 0s - loss: 261.5298 - logits_profile_predictions_loss: 258.7505 - logcount_predictions_loss: 0.2622 1077/1081 [============================>.] - ETA: 0s - loss: 261.5297 - logits_profile_predictions_loss: 258.7504 - logcount_predictions_loss: 0.2622 1078/1081 [============================>.] - ETA: 0s - loss: 261.5297 - logits_profile_predictions_loss: 258.7504 - logcount_predictions_loss: 0.2622 1079/1081 [============================>.] - ETA: 0s - loss: 261.5296 - logits_profile_predictions_loss: 258.7503 - logcount_predictions_loss: 0.2622 1080/1081 [============================>.] - ETA: 0s - loss: 261.5295 - logits_profile_predictions_loss: 258.7503 - logcount_predictions_loss: 0.2622 1081/1081 [==============================] - ETA: 0s - loss: 261.5294 - logits_profile_predictions_loss: 258.7503 - logcount_predictions_loss: 0.2622 1081/1081 [==============================] - 174s 161ms/step - loss: 261.5293 - logits_profile_predictions_loss: 258.7502 - logcount_predictions_loss: 0.2622 - val_loss: 284.0908 - val_logits_profile_predictions_loss: 280.8304 - val_logcount_predictions_loss: 0.3076 + +Epoch 00011: val_loss did not improve from 281.85043 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-03-25_22-25-18: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(19338, 10) +loading nonpeaks... +got split:test for bed regions:(19337, 10) +0/152 +100/152 +2022-03-25_22-27-49: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(19338, 10) +loading nonpeaks... +got split:test for bed regions:(19337, 10) +0/152 +100/152 +2022-03-25_22-30-09: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(19338, 10) +loading nonpeaks... +got split:test for bed regions:(19337, 10) +0/152 +100/152 +2022-03-25_22-31-57: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints +2022-03-25_22-31-57: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/20 [>.............................] - ETA: 2:31 3/20 [===>..........................] - ETA: 5s  4/20 [=====>........................] - ETA: 7s 5/20 [======>.......................] - ETA: 7s 6/20 [========>.....................] - ETA: 7s 7/20 [=========>....................] - ETA: 7s 8/20 [===========>..................] - ETA: 6s 9/20 [============>.................] - ETA: 6s 10/20 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[============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 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[========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 680ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 680ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +Saving marginal footprints +2022-03-25_22-34-45: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints +2022-03-25_22-34-45: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "functional_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/20 [>.............................] - ETA: 1:24 3/20 [===>..........................] - ETA: 0s  4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 6s 85ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 1s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 62ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 1s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 62ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 63ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 1s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +Saving marginal footprints diff --git a/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stdout_v1.txt b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..da6b964bd33b5442d11cc4f8e6bb97b4867f3e2d --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR823ZCR/logfile.modelling.fold_0.ENCSR823ZCR.stdout_v1.txt @@ -0,0 +1,551 @@ +2022-03-25_09-31-09: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/k562_atac_bias_new.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/ +evaluating hyperparameters on the following chromosomes ['chr2', 'chr4', 'chr5', 'chr7', 'chr9', 'chr10', 'chr11', 'chr12', 'chr13', 'chr14', 'chr15', 'chr16', 'chr17', 'chr18', 'chr19', 'chr21', 'chr22', 'chrX', 'chrY', 'chr8', 'chr20'] +Number of peaks input: 69608 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 69608 +Number of peaks input: 19338 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 19338 +Number of non peaks input: 69608 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 69608 +Number of non peaks input: 19337 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 19337 +Number of peaks after removing outliers: 68836 +Number of nonpeaks after removing outliers: 61503 +got the model +Model: "functional_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/1922 [..............................] - ETA: 7:17:08 5/1922 [..............................] - ETA: 24s  9/1922 [..............................] - ETA: 26s 13/1922 [..............................] - ETA: 27s 17/1922 [..............................] - ETA: 27s 21/1922 [..............................] - ETA: 26s 25/1922 [..............................] - ETA: 26s 29/1922 [..............................] - ETA: 26s 33/1922 [..............................] - ETA: 26s 37/1922 [..............................] - ETA: 26s 41/1922 [..............................] - ETA: 26s 45/1922 [..............................] - ETA: 26s 49/1922 [..............................] - ETA: 26s 53/1922 [..............................] - ETA: 26s 57/1922 [..............................] - ETA: 26s 61/1922 [..............................] - ETA: 26s 65/1922 [>.............................] - ETA: 26s 69/1922 [>.............................] - ETA: 26s 73/1922 [>.............................] - ETA: 26s 77/1922 [>.............................] - ETA: 26s 81/1922 [>.............................] - ETA: 25s 85/1922 [>.............................] - ETA: 25s 89/1922 [>.............................] - ETA: 25s 93/1922 [>.............................] - ETA: 25s 97/1922 [>.............................] - ETA: 25s 101/1922 [>.............................] - ETA: 25s 105/1922 [>.............................] - ETA: 25s 109/1922 [>.............................] - ETA: 25s 113/1922 [>.............................] - ETA: 25s 117/1922 [>.............................] - ETA: 25s 121/1922 [>.............................] - ETA: 25s 125/1922 [>.............................] - ETA: 25s 129/1922 [=>............................] - ETA: 25s 133/1922 [=>............................] - ETA: 25s 137/1922 [=>............................] - ETA: 25s 141/1922 [=>............................] - ETA: 25s 145/1922 [=>............................] - ETA: 25s 149/1922 [=>............................] - ETA: 24s 153/1922 [=>............................] - ETA: 24s 157/1922 [=>............................] - ETA: 24s 161/1922 [=>............................] - ETA: 24s 165/1922 [=>............................] - ETA: 24s 169/1922 [=>............................] - ETA: 24s 173/1922 [=>............................] - ETA: 24s 177/1922 [=>............................] - ETA: 24s 181/1922 [=>............................] - ETA: 24s 185/1922 [=>............................] - ETA: 24s 189/1922 [=>............................] - ETA: 24s 193/1922 [==>...........................] - ETA: 24s 197/1922 [==>...........................] - ETA: 24s 201/1922 [==>...........................] - ETA: 24s 205/1922 [==>...........................] - ETA: 24s 208/1922 [==>...........................] - ETA: 24s 212/1922 [==>...........................] - ETA: 24s 216/1922 [==>...........................] - ETA: 24s 220/1922 [==>...........................] - ETA: 24s 224/1922 [==>...........................] - ETA: 23s 228/1922 [==>...........................] - ETA: 23s 232/1922 [==>...........................] - ETA: 23s 236/1922 [==>...........................] - ETA: 23s 240/1922 [==>...........................] - ETA: 23s 244/1922 [==>...........................] - ETA: 23s 248/1922 [==>...........................] - ETA: 23s 252/1922 [==>...........................] - ETA: 23s 256/1922 [==>...........................] - ETA: 23s 260/1922 [===>..........................] - ETA: 23s 264/1922 [===>..........................] - ETA: 23s 268/1922 [===>..........................] - ETA: 23s 272/1922 [===>..........................] - ETA: 23s 276/1922 [===>..........................] - ETA: 23s 280/1922 [===>..........................] - ETA: 23s 284/1922 [===>..........................] - ETA: 23s 288/1922 [===>..........................] - ETA: 23s 292/1922 [===>..........................] - ETA: 22s 296/1922 [===>..........................] - ETA: 22s 300/1922 [===>..........................] - ETA: 22s 304/1922 [===>..........................] - ETA: 22s 308/1922 [===>..........................] - ETA: 22s 312/1922 [===>..........................] - ETA: 22s 316/1922 [===>..........................] - ETA: 22s 320/1922 [===>..........................] - ETA: 22s 324/1922 [====>.........................] - ETA: 22s 328/1922 [====>.........................] - ETA: 22s 332/1922 [====>.........................] - ETA: 22s 336/1922 [====>.........................] - ETA: 22s 340/1922 [====>.........................] - ETA: 22s 344/1922 [====>.........................] - ETA: 22s 348/1922 [====>.........................] - ETA: 22s 352/1922 [====>.........................] - ETA: 22s 356/1922 [====>.........................] - ETA: 22s 360/1922 [====>.........................] - ETA: 22s 364/1922 [====>.........................] - ETA: 21s 368/1922 [====>.........................] - ETA: 21s 372/1922 [====>.........................] - ETA: 21s 376/1922 [====>.........................] - ETA: 21s 380/1922 [====>.........................] - ETA: 21s 384/1922 [====>.........................] - ETA: 21s 388/1922 [=====>........................] - ETA: 21s 392/1922 [=====>........................] - ETA: 21s 396/1922 [=====>........................] - ETA: 21s 400/1922 [=====>........................] - ETA: 21s 404/1922 [=====>........................] - ETA: 21s 408/1922 [=====>........................] - ETA: 21s 412/1922 [=====>........................] - ETA: 21s 416/1922 [=====>........................] - ETA: 21s 420/1922 [=====>........................] - ETA: 21s 424/1922 [=====>........................] - ETA: 21s 428/1922 [=====>........................] - ETA: 21s 432/1922 [=====>........................] - ETA: 21s 436/1922 [=====>........................] - ETA: 20s 440/1922 [=====>........................] - ETA: 20s 444/1922 [=====>........................] - ETA: 20s 448/1922 [=====>........................] - ETA: 20s 452/1922 [======>.......................] - ETA: 20s 456/1922 [======>.......................] - ETA: 20s 460/1922 [======>.......................] - ETA: 20s 464/1922 [======>.......................] - ETA: 20s 468/1922 [======>.......................] - ETA: 20s 471/1922 [======>.......................] - ETA: 20s 473/1922 [======>.......................] - ETA: 20s 476/1922 [======>.......................] - ETA: 20s 480/1922 [======>.......................] - ETA: 20s 484/1922 [======>.......................] - ETA: 20s 488/1922 [======>.......................] - ETA: 20s 492/1922 [======>.......................] - ETA: 20s 496/1922 [======>.......................] - ETA: 20s 500/1922 [======>.......................] - ETA: 20s 504/1922 [======>.......................] - ETA: 20s 508/1922 [======>.......................] - ETA: 20s 512/1922 [======>.......................] - ETA: 20s 516/1922 [=======>......................] - ETA: 20s 520/1922 [=======>......................] - ETA: 19s 524/1922 [=======>......................] - ETA: 19s 528/1922 [=======>......................] - ETA: 19s 532/1922 [=======>......................] - ETA: 19s 536/1922 [=======>......................] - ETA: 19s 540/1922 [=======>......................] - ETA: 19s 544/1922 [=======>......................] - ETA: 19s 548/1922 [=======>......................] - ETA: 19s 552/1922 [=======>......................] - ETA: 19s 556/1922 [=======>......................] - ETA: 19s 560/1922 [=======>......................] - ETA: 19s 564/1922 [=======>......................] - ETA: 19s 568/1922 [=======>......................] - ETA: 19s 572/1922 [=======>......................] - ETA: 19s 576/1922 [=======>......................] - ETA: 19s 580/1922 [========>.....................] - ETA: 19s 584/1922 [========>.....................] - ETA: 19s 588/1922 [========>.....................] - ETA: 18s 592/1922 [========>.....................] - ETA: 18s 596/1922 [========>.....................] - ETA: 18s 600/1922 [========>.....................] - ETA: 18s 604/1922 [========>.....................] - ETA: 18s 608/1922 [========>.....................] - ETA: 18s 612/1922 [========>.....................] - ETA: 18s 616/1922 [========>.....................] - ETA: 18s 620/1922 [========>.....................] - ETA: 18s 624/1922 [========>.....................] - ETA: 18s 628/1922 [========>.....................] - ETA: 18s 632/1922 [========>.....................] - ETA: 18s 636/1922 [========>.....................] - ETA: 18s 640/1922 [========>.....................] - ETA: 18s 644/1922 [=========>....................] - ETA: 18s 648/1922 [=========>....................] - ETA: 18s 652/1922 [=========>....................] - ETA: 18s 656/1922 [=========>....................] - ETA: 17s 660/1922 [=========>....................] - ETA: 17s 664/1922 [=========>....................] - ETA: 17s 668/1922 [=========>....................] - ETA: 17s 672/1922 [=========>....................] - ETA: 17s 676/1922 [=========>....................] - ETA: 17s 680/1922 [=========>....................] - ETA: 17s 684/1922 [=========>....................] - ETA: 17s 688/1922 [=========>....................] - ETA: 17s 692/1922 [=========>....................] - ETA: 17s 696/1922 [=========>....................] - ETA: 17s 700/1922 [=========>....................] - ETA: 17s 704/1922 [=========>....................] - ETA: 17s 708/1922 [==========>...................] - ETA: 17s 712/1922 [==========>...................] - ETA: 17s 716/1922 [==========>...................] - ETA: 17s 720/1922 [==========>...................] - ETA: 17s 724/1922 [==========>...................] - ETA: 16s 728/1922 [==========>...................] - ETA: 16s 732/1922 [==========>...................] - ETA: 16s 736/1922 [==========>...................] - ETA: 16s 740/1922 [==========>...................] - ETA: 16s 744/1922 [==========>...................] - ETA: 16s 748/1922 [==========>...................] - ETA: 16s 752/1922 [==========>...................] - ETA: 16s 756/1922 [==========>...................] - ETA: 16s 760/1922 [==========>...................] - ETA: 16s 764/1922 [==========>...................] - ETA: 16s 768/1922 [==========>...................] - ETA: 16s 772/1922 [===========>..................] - ETA: 16s 776/1922 [===========>..................] - ETA: 16s 780/1922 [===========>..................] - ETA: 16s 784/1922 [===========>..................] - ETA: 16s 788/1922 [===========>..................] - ETA: 16s 792/1922 [===========>..................] - ETA: 16s 796/1922 [===========>..................] - ETA: 15s 800/1922 [===========>..................] - ETA: 15s 804/1922 [===========>..................] - ETA: 15s 808/1922 [===========>..................] - ETA: 15s 812/1922 [===========>..................] - ETA: 15s 816/1922 [===========>..................] - ETA: 15s 820/1922 [===========>..................] - ETA: 15s 824/1922 [===========>..................] - ETA: 15s 828/1922 [===========>..................] - ETA: 15s 832/1922 [===========>..................] - ETA: 15s 836/1922 [============>.................] - ETA: 15s 840/1922 [============>.................] - ETA: 15s 844/1922 [============>.................] - ETA: 15s 848/1922 [============>.................] - ETA: 15s 852/1922 [============>.................] - ETA: 15s 856/1922 [============>.................] - ETA: 15s 860/1922 [============>.................] - ETA: 15s 864/1922 [============>.................] - ETA: 14s 868/1922 [============>.................] - ETA: 14s 872/1922 [============>.................] - ETA: 14s 876/1922 [============>.................] - ETA: 14s 880/1922 [============>.................] - ETA: 14s 884/1922 [============>.................] - ETA: 14s 888/1922 [============>.................] - ETA: 14s 892/1922 [============>.................] - ETA: 14s 896/1922 [============>.................] - ETA: 14s 900/1922 [=============>................] - ETA: 14s 904/1922 [=============>................] - ETA: 14s 908/1922 [=============>................] - ETA: 14s 912/1922 [=============>................] - ETA: 14s 916/1922 [=============>................] - ETA: 14s 920/1922 [=============>................] - ETA: 14s 924/1922 [=============>................] - ETA: 14s 928/1922 [=============>................] - ETA: 14s 932/1922 [=============>................] - ETA: 14s 936/1922 [=============>................] - ETA: 13s 940/1922 [=============>................] - ETA: 13s 944/1922 [=============>................] - ETA: 13s 948/1922 [=============>................] - ETA: 13s 952/1922 [=============>................] - ETA: 13s 956/1922 [=============>................] - ETA: 13s 960/1922 [=============>................] - ETA: 13s 964/1922 [==============>...............] - ETA: 13s 968/1922 [==============>...............] - ETA: 13s 972/1922 [==============>...............] - ETA: 13s 976/1922 [==============>...............] - ETA: 13s 980/1922 [==============>...............] - ETA: 13s 984/1922 [==============>...............] - ETA: 13s 988/1922 [==============>...............] - ETA: 13s 992/1922 [==============>...............] - ETA: 13s 996/1922 [==============>...............] - ETA: 13s 1000/1922 [==============>...............] - ETA: 13s 1004/1922 [==============>...............] - ETA: 12s 1008/1922 [==============>...............] - ETA: 12s 1012/1922 [==============>...............] - ETA: 12s 1016/1922 [==============>...............] - ETA: 12s 1020/1922 [==============>...............] - ETA: 12s 1024/1922 [==============>...............] - ETA: 12s 1028/1922 [===============>..............] - ETA: 12s 1032/1922 [===============>..............] - ETA: 12s 1036/1922 [===============>..............] - ETA: 12s 1040/1922 [===============>..............] - ETA: 12s 1044/1922 [===============>..............] - ETA: 12s 1048/1922 [===============>..............] - ETA: 12s 1052/1922 [===============>..............] - ETA: 12s 1056/1922 [===============>..............] - ETA: 12s 1060/1922 [===============>..............] - ETA: 12s 1064/1922 [===============>..............] - ETA: 12s 1068/1922 [===============>..............] - ETA: 12s 1072/1922 [===============>..............] - ETA: 12s 1076/1922 [===============>..............] - ETA: 11s 1080/1922 [===============>..............] - ETA: 11s 1084/1922 [===============>..............] - ETA: 11s 1088/1922 [===============>..............] - ETA: 11s 1092/1922 [================>.............] - ETA: 11s 1096/1922 [================>.............] - ETA: 11s 1100/1922 [================>.............] - ETA: 11s 1104/1922 [================>.............] - ETA: 11s 1108/1922 [================>.............] - ETA: 11s 1112/1922 [================>.............] - ETA: 11s 1116/1922 [================>.............] - ETA: 11s 1120/1922 [================>.............] - ETA: 11s 1124/1922 [================>.............] - ETA: 11s 1128/1922 [================>.............] - ETA: 11s 1132/1922 [================>.............] - ETA: 11s 1136/1922 [================>.............] - ETA: 11s 1140/1922 [================>.............] - ETA: 11s 1144/1922 [================>.............] - ETA: 11s 1148/1922 [================>.............] - ETA: 10s 1152/1922 [================>.............] - ETA: 10s 1156/1922 [=================>............] - ETA: 10s 1160/1922 [=================>............] - ETA: 10s 1164/1922 [=================>............] - ETA: 10s 1168/1922 [=================>............] - ETA: 10s 1172/1922 [=================>............] - ETA: 10s 1176/1922 [=================>............] - ETA: 10s 1180/1922 [=================>............] - ETA: 10s 1184/1922 [=================>............] - ETA: 10s 1188/1922 [=================>............] - ETA: 10s 1192/1922 [=================>............] - ETA: 10s 1196/1922 [=================>............] - ETA: 10s 1200/1922 [=================>............] - ETA: 10s 1204/1922 [=================>............] - ETA: 10s 1208/1922 [=================>............] - ETA: 10s 1212/1922 [=================>............] - ETA: 10s 1216/1922 [=================>............] - ETA: 9s  1220/1922 [==================>...........] - ETA: 9s 1224/1922 [==================>...........] - ETA: 9s 1228/1922 [==================>...........] - ETA: 9s 1232/1922 [==================>...........] - ETA: 9s 1236/1922 [==================>...........] - ETA: 9s 1240/1922 [==================>...........] - ETA: 9s 1244/1922 [==================>...........] - ETA: 9s 1248/1922 [==================>...........] - ETA: 9s 1252/1922 [==================>...........] - ETA: 9s 1256/1922 [==================>...........] - ETA: 9s 1260/1922 [==================>...........] - ETA: 9s 1264/1922 [==================>...........] - ETA: 9s 1268/1922 [==================>...........] - ETA: 9s 1272/1922 [==================>...........] - ETA: 9s 1276/1922 [==================>...........] - ETA: 9s 1280/1922 [==================>...........] - ETA: 9s 1284/1922 [===================>..........] - ETA: 9s 1288/1922 [===================>..........] - ETA: 8s 1292/1922 [===================>..........] - ETA: 8s 1296/1922 [===================>..........] - ETA: 8s 1300/1922 [===================>..........] - ETA: 8s 1304/1922 [===================>..........] - ETA: 8s 1308/1922 [===================>..........] - ETA: 8s 1312/1922 [===================>..........] - ETA: 8s 1316/1922 [===================>..........] - ETA: 8s 1320/1922 [===================>..........] - ETA: 8s 1324/1922 [===================>..........] - ETA: 8s 1328/1922 [===================>..........] - ETA: 8s 1332/1922 [===================>..........] - ETA: 8s 1336/1922 [===================>..........] - ETA: 8s 1340/1922 [===================>..........] - ETA: 8s 1344/1922 [===================>..........] - ETA: 8s 1348/1922 [====================>.........] - ETA: 8s 1352/1922 [====================>.........] - ETA: 8s 1356/1922 [====================>.........] - ETA: 7s 1360/1922 [====================>.........] - ETA: 7s 1364/1922 [====================>.........] - ETA: 7s 1368/1922 [====================>.........] - ETA: 7s 1372/1922 [====================>.........] - ETA: 7s 1376/1922 [====================>.........] - ETA: 7s 1380/1922 [====================>.........] - ETA: 7s 1384/1922 [====================>.........] - ETA: 7s 1388/1922 [====================>.........] - ETA: 7s 1392/1922 [====================>.........] - ETA: 7s 1396/1922 [====================>.........] - ETA: 7s 1400/1922 [====================>.........] - ETA: 7s 1404/1922 [====================>.........] - ETA: 7s 1408/1922 [====================>.........] - ETA: 7s 1412/1922 [=====================>........] - ETA: 7s 1416/1922 [=====================>........] - ETA: 7s 1420/1922 [=====================>........] - ETA: 7s 1424/1922 [=====================>........] - ETA: 7s 1428/1922 [=====================>........] - ETA: 6s 1432/1922 [=====================>........] - ETA: 6s 1436/1922 [=====================>........] - ETA: 6s 1440/1922 [=====================>........] - ETA: 6s 1444/1922 [=====================>........] - ETA: 6s 1448/1922 [=====================>........] - ETA: 6s 1452/1922 [=====================>........] - ETA: 6s 1456/1922 [=====================>........] - ETA: 6s 1460/1922 [=====================>........] - ETA: 6s 1464/1922 [=====================>........] - ETA: 6s 1468/1922 [=====================>........] - ETA: 6s 1472/1922 [=====================>........] - ETA: 6s 1476/1922 [======================>.......] - ETA: 6s 1480/1922 [======================>.......] - ETA: 6s 1484/1922 [======================>.......] - ETA: 6s 1488/1922 [======================>.......] - ETA: 6s 1492/1922 [======================>.......] - ETA: 6s 1496/1922 [======================>.......] - ETA: 6s 1500/1922 [======================>.......] - ETA: 5s 1504/1922 [======================>.......] - ETA: 5s 1508/1922 [======================>.......] - ETA: 5s 1512/1922 [======================>.......] - ETA: 5s 1516/1922 [======================>.......] - ETA: 5s 1520/1922 [======================>.......] - ETA: 5s 1524/1922 [======================>.......] - ETA: 5s 1528/1922 [======================>.......] - ETA: 5s 1532/1922 [======================>.......] - ETA: 5s 1536/1922 [======================>.......] - ETA: 5s 1540/1922 [=======================>......] - ETA: 5s 1544/1922 [=======================>......] - ETA: 5s 1548/1922 [=======================>......] - ETA: 5s 1552/1922 [=======================>......] - ETA: 5s 1556/1922 [=======================>......] - ETA: 5s 1560/1922 [=======================>......] - ETA: 5s 1564/1922 [=======================>......] - ETA: 5s 1568/1922 [=======================>......] - ETA: 4s 1572/1922 [=======================>......] - ETA: 4s 1576/1922 [=======================>......] - ETA: 4s 1580/1922 [=======================>......] - ETA: 4s 1584/1922 [=======================>......] - ETA: 4s 1588/1922 [=======================>......] - ETA: 4s 1592/1922 [=======================>......] - ETA: 4s 1596/1922 [=======================>......] - ETA: 4s 1600/1922 [=======================>......] - ETA: 4s 1604/1922 [========================>.....] - ETA: 4s 1608/1922 [========================>.....] - ETA: 4s 1612/1922 [========================>.....] - ETA: 4s 1616/1922 [========================>.....] - ETA: 4s 1620/1922 [========================>.....] - ETA: 4s 1624/1922 [========================>.....] - ETA: 4s 1628/1922 [========================>.....] - ETA: 4s 1632/1922 [========================>.....] - ETA: 4s 1636/1922 [========================>.....] - ETA: 4s 1640/1922 [========================>.....] - ETA: 3s 1644/1922 [========================>.....] - ETA: 3s 1648/1922 [========================>.....] - ETA: 3s 1652/1922 [========================>.....] - ETA: 3s 1656/1922 [========================>.....] - ETA: 3s 1660/1922 [========================>.....] - ETA: 3s 1664/1922 [========================>.....] - ETA: 3s 1668/1922 [=========================>....] - ETA: 3s 1672/1922 [=========================>....] - ETA: 3s 1676/1922 [=========================>....] - ETA: 3s 1680/1922 [=========================>....] - ETA: 3s 1684/1922 [=========================>....] - ETA: 3s 1688/1922 [=========================>....] - ETA: 3s 1692/1922 [=========================>....] - ETA: 3s 1696/1922 [=========================>....] - ETA: 3s 1700/1922 [=========================>....] - ETA: 3s 1704/1922 [=========================>....] - ETA: 3s 1708/1922 [=========================>....] - ETA: 3s 1712/1922 [=========================>....] - ETA: 2s 1716/1922 [=========================>....] - ETA: 2s 1720/1922 [=========================>....] - ETA: 2s 1724/1922 [=========================>....] - ETA: 2s 1728/1922 [=========================>....] - ETA: 2s 1732/1922 [==========================>...] - ETA: 2s 1736/1922 [==========================>...] - ETA: 2s 1740/1922 [==========================>...] - ETA: 2s 1744/1922 [==========================>...] - ETA: 2s 1748/1922 [==========================>...] - ETA: 2s 1752/1922 [==========================>...] - ETA: 2s 1756/1922 [==========================>...] - ETA: 2s 1760/1922 [==========================>...] - ETA: 2s 1764/1922 [==========================>...] - ETA: 2s 1768/1922 [==========================>...] - ETA: 2s 1772/1922 [==========================>...] - ETA: 2s 1776/1922 [==========================>...] - ETA: 2s 1780/1922 [==========================>...] - ETA: 2s 1784/1922 [==========================>...] - ETA: 1s 1788/1922 [==========================>...] - ETA: 1s 1792/1922 [==========================>...] - ETA: 1s 1796/1922 [===========================>..] - ETA: 1s 1800/1922 [===========================>..] - ETA: 1s 1804/1922 [===========================>..] - ETA: 1s 1808/1922 [===========================>..] - ETA: 1s 1812/1922 [===========================>..] - ETA: 1s 1816/1922 [===========================>..] - ETA: 1s 1820/1922 [===========================>..] - ETA: 1s 1824/1922 [===========================>..] - ETA: 1s 1828/1922 [===========================>..] - ETA: 1s 1832/1922 [===========================>..] - ETA: 1s 1836/1922 [===========================>..] - ETA: 1s 1840/1922 [===========================>..] - ETA: 1s 1844/1922 [===========================>..] - ETA: 1s 1848/1922 [===========================>..] - ETA: 1s 1852/1922 [===========================>..] - ETA: 0s 1856/1922 [===========================>..] - ETA: 0s 1860/1922 [============================>.] - ETA: 0s 1864/1922 [============================>.] - ETA: 0s 1868/1922 [============================>.] - ETA: 0s 1872/1922 [============================>.] - ETA: 0s 1876/1922 [============================>.] - ETA: 0s 1880/1922 [============================>.] - ETA: 0s 1884/1922 [============================>.] - ETA: 0s 1888/1922 [============================>.] - ETA: 0s 1892/1922 [============================>.] - ETA: 0s 1896/1922 [============================>.] - ETA: 0s 1900/1922 [============================>.] - ETA: 0s 1904/1922 [============================>.] - ETA: 0s 1908/1922 [============================>.] - ETA: 0s 1912/1922 [============================>.] - ETA: 0s 1916/1922 [============================>.] - ETA: 0s 1920/1922 [============================>.] - ETA: 0s 1922/1922 [==============================] - ETA: 0s 1922/1922 [==============================] - 41s 14ms/step +2022-03-25_09-36-31: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.6', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(62870, 10) +loading nonpeaks... +got split:train for bed regions:(56100, 10) +loading peaks... +got split:valid for bed regions:(5966, 10) +loading nonpeaks... +got split:valid for bed regions:(5403, 10) +Epoch 1/50 + 1/1081 [..............................] - ETA: 2:56:59 - loss: 310.0477 - logits_profile_predictions_loss: 292.8817 - logcount_predictions_loss: 1.6194 2/1081 [..............................] - ETA: 16:14 - loss: 32814.5141 - logits_profile_predictions_loss: 291.5837 - logcount_predictions_loss: 3068.2008 3/1081 [..............................] - ETA: 16:12 - loss: 36429.7867 - logits_profile_predictions_loss: 287.6033 - logcount_predictions_loss: 3409.6397 4/1081 [..............................] - ETA: 16:11 - loss: 35526.4279 - logits_profile_predictions_loss: 284.9137 - logcount_predictions_loss: 3324.6710 5/1081 [..............................] - ETA: 16:10 - loss: 33684.8818 - logits_profile_predictions_loss: 284.5219 - logcount_predictions_loss: 3150.9772 6/1081 [..............................] - ETA: 16:09 - loss: 31733.9194 - logits_profile_predictions_loss: 283.7372 - logcount_predictions_loss: 2966.9982 7/1081 [..............................] - ETA: 16:09 - loss: 29897.9376 - logits_profile_predictions_loss: 283.2110 - logcount_predictions_loss: 2793.8420 8/1081 [..............................] - ETA: 16:08 - loss: 28230.6483 - logits_profile_predictions_loss: 282.8801 - logcount_predictions_loss: 2636.5818 9/1081 [..............................] - ETA: 16:07 - loss: 26733.4925 - logits_profile_predictions_loss: 282.9503 - logcount_predictions_loss: 2495.3341 10/1081 [..............................] - ETA: 16:06 - loss: 25391.2273 - logits_profile_predictions_loss: 282.9964 - logcount_predictions_loss: 2368.7009 11/1081 [..............................] - ETA: 16:05 - loss: 24185.8119 - logits_profile_predictions_loss: 283.3001 - logcount_predictions_loss: 2254.9538 12/1081 [..............................] - ETA: 16:04 - loss: 23099.2015 - logits_profile_predictions_loss: 283.5757 - logcount_predictions_loss: 2152.4174 13/1081 [..............................] - ETA: 16:03 - loss: 22115.5979 - logits_profile_predictions_loss: 283.7884 - logcount_predictions_loss: 2059.6046 14/1081 [..............................] - ETA: 16:02 - loss: 21221.4959 - logits_profile_predictions_loss: 284.0081 - logcount_predictions_loss: 1975.2346 15/1081 [..............................] - ETA: 16:01 - loss: 20405.4380 - logits_profile_predictions_loss: 284.3102 - logcount_predictions_loss: 1898.2195 16/1081 [..............................] - ETA: 16:00 - loss: 19657.3757 - logits_profile_predictions_loss: 284.4512 - logcount_predictions_loss: 1827.6343 17/1081 [..............................] - ETA: 15:59 - loss: 18969.0742 - logits_profile_predictions_loss: 284.4675 - logcount_predictions_loss: 1762.6987 18/1081 [..............................] - ETA: 15:58 - loss: 18333.6274 - logits_profile_predictions_loss: 284.4737 - logcount_predictions_loss: 1702.7503 19/1081 [..............................] - ETA: 15:57 - loss: 17745.0384 - logits_profile_predictions_loss: 284.4718 - logcount_predictions_loss: 1647.2232 20/1081 [..............................] - ETA: 15:56 - loss: 17198.1917 - logits_profile_predictions_loss: 284.4701 - logcount_predictions_loss: 1595.6340 21/1081 [..............................] - ETA: 15:56 - loss: 16688.7450 - logits_profile_predictions_loss: 284.5312 - logcount_predictions_loss: 1547.5673 22/1081 [..............................] - ETA: 15:55 - loss: 16212.8205 - logits_profile_predictions_loss: 284.5941 - logcount_predictions_loss: 1502.6628 23/1081 [..............................] - ETA: 15:54 - loss: 15767.1752 - logits_profile_predictions_loss: 284.7203 - logcount_predictions_loss: 1460.6089 24/1081 [..............................] - ETA: 15:53 - loss: 15348.8667 - logits_profile_predictions_loss: 284.8512 - logcount_predictions_loss: 1421.1335 25/1081 [..............................] - ETA: 15:52 - loss: 14955.3427 - logits_profile_predictions_loss: 284.9653 - logcount_predictions_loss: 1383.9978 26/1081 [..............................] - ETA: 15:51 - loss: 14584.4156 - logits_profile_predictions_loss: 285.0890 - logcount_predictions_loss: 1348.9930 27/1081 [..............................] - ETA: 15:50 - loss: 14234.0632 - logits_profile_predictions_loss: 285.1707 - logcount_predictions_loss: 1315.9332 28/1081 [..............................] - ETA: 15:50 - loss: 13902.5304 - logits_profile_predictions_loss: 285.1928 - logcount_predictions_loss: 1284.6544 29/1081 [..............................] - ETA: 15:49 - loss: 13588.3126 - logits_profile_predictions_loss: 285.1917 - logcount_predictions_loss: 1255.0114 30/1081 [..............................] - ETA: 15:48 - loss: 13290.1006 - logits_profile_predictions_loss: 285.2287 - logcount_predictions_loss: 1226.8747 31/1081 [..............................] - ETA: 15:47 - loss: 13006.6077 - logits_profile_predictions_loss: 285.2560 - logcount_predictions_loss: 1200.1275 32/1081 [..............................] - ETA: 15:46 - loss: 12736.7016 - logits_profile_predictions_loss: 285.2517 - logcount_predictions_loss: 1174.6650 33/1081 [..............................] - ETA: 15:45 - loss: 12479.4573 - logits_profile_predictions_loss: 285.2800 - logcount_predictions_loss: 1150.3940 34/1081 [..............................] - ETA: 15:44 - loss: 12233.9217 - logits_profile_predictions_loss: 285.2952 - logcount_predictions_loss: 1127.2289 35/1081 [..............................] - ETA: 15:43 - loss: 11999.2956 - logits_profile_predictions_loss: 285.3107 - logcount_predictions_loss: 1105.0929 36/1081 [..............................] - ETA: 15:42 - loss: 11774.8326 - logits_profile_predictions_loss: 285.3225 - logcount_predictions_loss: 1083.9160 37/1081 [>.............................] - ETA: 15:41 - loss: 11559.8492 - logits_profile_predictions_loss: 285.3209 - logcount_predictions_loss: 1063.6347 38/1081 [>.............................] - ETA: 15:40 - loss: 11353.7277 - logits_profile_predictions_loss: 285.3037 - logcount_predictions_loss: 1044.1909 39/1081 [>.............................] - ETA: 15:39 - loss: 11155.9196 - logits_profile_predictions_loss: 285.2812 - logcount_predictions_loss: 1025.5319 40/1081 [>.............................] - ETA: 15:39 - loss: 10965.9256 - logits_profile_predictions_loss: 285.2668 - logcount_predictions_loss: 1007.6093 41/1081 [>.............................] - ETA: 15:38 - loss: 10783.2500 - logits_profile_predictions_loss: 285.2395 - logcount_predictions_loss: 990.3783  42/1081 [>.............................] - ETA: 15:37 - loss: 10607.4658 - logits_profile_predictions_loss: 285.2058 - logcount_predictions_loss: 973.7981 43/1081 [>.............................] - ETA: 15:36 - loss: 10438.1848 - logits_profile_predictions_loss: 285.1745 - logcount_predictions_loss: 957.8311 44/1081 [>.............................] - ETA: 15:35 - loss: 10275.0091 - logits_profile_predictions_loss: 285.1216 - logcount_predictions_loss: 942.4422 45/1081 [>.............................] - ETA: 15:34 - loss: 10117.6405 - logits_profile_predictions_loss: 285.0845 - logcount_predictions_loss: 927.5996 46/1081 [>.............................] - ETA: 15:33 - loss: 9965.7377 - logits_profile_predictions_loss: 285.0396 - logcount_predictions_loss: 913.2734  47/1081 [>.............................] - ETA: 15:32 - loss: 9819.0197 - logits_profile_predictions_loss: 284.9974 - logcount_predictions_loss: 899.4360 48/1081 [>.............................] - ETA: 15:31 - loss: 9677.2034 - logits_profile_predictions_loss: 284.9481 - logcount_predictions_loss: 886.0618 49/1081 [>.............................] - ETA: 15:30 - loss: 9540.0426 - logits_profile_predictions_loss: 284.8971 - logcount_predictions_loss: 873.1269 50/1081 [>.............................] - ETA: 15:29 - loss: 9407.2949 - logits_profile_predictions_loss: 284.8384 - logcount_predictions_loss: 860.6091 51/1081 [>.............................] - ETA: 15:29 - loss: 9278.7518 - logits_profile_predictions_loss: 284.7805 - logcount_predictions_loss: 848.4878 52/1081 [>.............................] - ETA: 15:28 - loss: 9154.1907 - logits_profile_predictions_loss: 284.7081 - logcount_predictions_loss: 836.7436 53/1081 [>.............................] - ETA: 15:27 - loss: 9033.4503 - logits_profile_predictions_loss: 284.6476 - logcount_predictions_loss: 825.3587 54/1081 [>.............................] - ETA: 15:26 - loss: 8916.3462 - logits_profile_predictions_loss: 284.5941 - logcount_predictions_loss: 814.3162 55/1081 [>.............................] - ETA: 15:25 - loss: 8802.6916 - logits_profile_predictions_loss: 284.5319 - logcount_predictions_loss: 803.5999 56/1081 [>.............................] - ETA: 15:24 - loss: 8692.3469 - logits_profile_predictions_loss: 284.4764 - logcount_predictions_loss: 793.1953 57/1081 [>.............................] - ETA: 15:23 - loss: 8585.1529 - logits_profile_predictions_loss: 284.4177 - logcount_predictions_loss: 783.0882 58/1081 [>.............................] - ETA: 15:22 - loss: 8480.9814 - logits_profile_predictions_loss: 284.3648 - logcount_predictions_loss: 773.2657 59/1081 [>.............................] - ETA: 15:22 - loss: 8379.6967 - logits_profile_predictions_loss: 284.3135 - logcount_predictions_loss: 763.7154 60/1081 [>.............................] - ETA: 15:21 - loss: 8281.1726 - logits_profile_predictions_loss: 284.2609 - logcount_predictions_loss: 754.4256 61/1081 [>.............................] - ETA: 15:20 - loss: 8185.2931 - logits_profile_predictions_loss: 284.2072 - logcount_predictions_loss: 745.3854 62/1081 [>.............................] - ETA: 15:19 - loss: 8091.9463 - logits_profile_predictions_loss: 284.1502 - logcount_predictions_loss: 736.5845 63/1081 [>.............................] - ETA: 15:18 - loss: 8001.0338 - logits_profile_predictions_loss: 284.0949 - logcount_predictions_loss: 728.0131 64/1081 [>.............................] - ETA: 15:17 - loss: 7912.4598 - logits_profile_predictions_loss: 284.0424 - logcount_predictions_loss: 719.6620 65/1081 [>.............................] - ETA: 15:16 - loss: 7826.1342 - logits_profile_predictions_loss: 283.9953 - logcount_predictions_loss: 711.5225 66/1081 [>.............................] - ETA: 15:15 - loss: 7741.9699 - logits_profile_predictions_loss: 283.9540 - logcount_predictions_loss: 703.5864 67/1081 [>.............................] - ETA: 15:14 - loss: 7659.8776 - logits_profile_predictions_loss: 283.9130 - logcount_predictions_loss: 695.8457 68/1081 [>.............................] - ETA: 15:13 - loss: 7579.7745 - logits_profile_predictions_loss: 283.8685 - logcount_predictions_loss: 688.2930 69/1081 [>.............................] - ETA: 15:12 - loss: 7501.5930 - logits_profile_predictions_loss: 283.8266 - logcount_predictions_loss: 680.9213 70/1081 [>.............................] - ETA: 15:12 - loss: 7425.2608 - logits_profile_predictions_loss: 283.7859 - logcount_predictions_loss: 673.7240 71/1081 [>.............................] - ETA: 15:11 - loss: 7350.7118 - logits_profile_predictions_loss: 283.7478 - logcount_predictions_loss: 666.6947 72/1081 [>.............................] - ETA: 15:10 - loss: 7277.8779 - logits_profile_predictions_loss: 283.7087 - logcount_predictions_loss: 659.8273 73/1081 [=>............................] - ETA: 15:09 - loss: 7206.6988 - logits_profile_predictions_loss: 283.6693 - logcount_predictions_loss: 653.1160 74/1081 [=>............................] - ETA: 15:08 - loss: 7137.1166 - logits_profile_predictions_loss: 283.6298 - logcount_predictions_loss: 646.5553 75/1081 [=>............................] - ETA: 15:07 - loss: 7069.0763 - logits_profile_predictions_loss: 283.5905 - logcount_predictions_loss: 640.1401 76/1081 [=>............................] - ETA: 15:06 - loss: 7002.5238 - logits_profile_predictions_loss: 283.5500 - logcount_predictions_loss: 633.8654 77/1081 [=>............................] - ETA: 15:05 - loss: 6937.4131 - logits_profile_predictions_loss: 283.5121 - logcount_predictions_loss: 627.7265 78/1081 [=>............................] - ETA: 15:04 - loss: 6873.6940 - logits_profile_predictions_loss: 283.4750 - logcount_predictions_loss: 621.7187 79/1081 [=>............................] - ETA: 15:03 - loss: 6811.3162 - logits_profile_predictions_loss: 283.4351 - logcount_predictions_loss: 615.8378 80/1081 [=>............................] - ETA: 15:03 - loss: 6750.2403 - logits_profile_predictions_loss: 283.3959 - logcount_predictions_loss: 610.0796 81/1081 [=>............................] - ETA: 15:02 - loss: 6690.4246 - logits_profile_predictions_loss: 283.3574 - logcount_predictions_loss: 604.4403 82/1081 [=>............................] - ETA: 15:01 - loss: 6631.8315 - logits_profile_predictions_loss: 283.3221 - logcount_predictions_loss: 598.9160 83/1081 [=>............................] - ETA: 15:00 - loss: 6574.4266 - logits_profile_predictions_loss: 283.2934 - logcount_predictions_loss: 593.5031 84/1081 [=>............................] - ETA: 14:59 - loss: 6518.1671 - logits_profile_predictions_loss: 283.2660 - logcount_predictions_loss: 588.1982 85/1081 [=>............................] - ETA: 14:58 - loss: 6463.0178 - logits_profile_predictions_loss: 283.2401 - logcount_predictions_loss: 582.9979 86/1081 [=>............................] - ETA: 14:57 - loss: 6408.9428 - logits_profile_predictions_loss: 283.2136 - logcount_predictions_loss: 577.8990 87/1081 [=>............................] - ETA: 14:56 - loss: 6355.9101 - logits_profile_predictions_loss: 283.1868 - logcount_predictions_loss: 572.8984 88/1081 [=>............................] - ETA: 14:55 - loss: 6303.8896 - logits_profile_predictions_loss: 283.1604 - logcount_predictions_loss: 567.9933 89/1081 [=>............................] - ETA: 14:54 - loss: 6252.8554 - logits_profile_predictions_loss: 283.1381 - logcount_predictions_loss: 563.1809 90/1081 [=>............................] - ETA: 14:54 - loss: 6202.7774 - logits_profile_predictions_loss: 283.1185 - logcount_predictions_loss: 558.4584 91/1081 [=>............................] - ETA: 14:53 - loss: 6153.6195 - logits_profile_predictions_loss: 283.0940 - logcount_predictions_loss: 553.8231 92/1081 [=>............................] - ETA: 14:52 - loss: 6105.3578 - logits_profile_predictions_loss: 283.0670 - logcount_predictions_loss: 549.2727 93/1081 [=>............................] - ETA: 14:51 - loss: 6057.9719 - logits_profile_predictions_loss: 283.0418 - logcount_predictions_loss: 544.8047 94/1081 [=>............................] - ETA: 14:50 - loss: 6011.4359 - logits_profile_predictions_loss: 283.0173 - logcount_predictions_loss: 540.4168 95/1081 [=>............................] - ETA: 14:49 - loss: 5965.7250 - logits_profile_predictions_loss: 282.9923 - logcount_predictions_loss: 536.1068 96/1081 [=>............................] - ETA: 14:48 - loss: 5920.8172 - logits_profile_predictions_loss: 282.9671 - logcount_predictions_loss: 531.8726 97/1081 [=>............................] - ETA: 14:47 - loss: 5876.6919 - logits_profile_predictions_loss: 282.9432 - logcount_predictions_loss: 527.7121 98/1081 [=>............................] - ETA: 14:46 - loss: 5833.3260 - logits_profile_predictions_loss: 282.9184 - logcount_predictions_loss: 523.6233 99/1081 [=>............................] - ETA: 14:45 - loss: 5790.7010 - logits_profile_predictions_loss: 282.8942 - logcount_predictions_loss: 519.6044 100/1081 [=>............................] - ETA: 14:44 - loss: 5748.7962 - logits_profile_predictions_loss: 282.8696 - logcount_predictions_loss: 515.6534 101/1081 [=>............................] - ETA: 14:44 - loss: 5707.5937 - logits_profile_predictions_loss: 282.8455 - logcount_predictions_loss: 511.7687 102/1081 [=>............................] - ETA: 14:43 - loss: 5667.0746 - logits_profile_predictions_loss: 282.8213 - logcount_predictions_loss: 507.9484 103/1081 [=>............................] - ETA: 14:42 - loss: 5627.2206 - logits_profile_predictions_loss: 282.7962 - logcount_predictions_loss: 504.1910 104/1081 [=>............................] - ETA: 14:41 - loss: 5588.0114 - logits_profile_predictions_loss: 282.7672 - logcount_predictions_loss: 500.4947 105/1081 [=>............................] - ETA: 14:40 - loss: 5549.4352 - logits_profile_predictions_loss: 282.7384 - logcount_predictions_loss: 496.8582 106/1081 [=>............................] - ETA: 14:39 - loss: 5511.4748 - logits_profile_predictions_loss: 282.7086 - logcount_predictions_loss: 493.2798 107/1081 [=>............................] - ETA: 14:38 - loss: 5474.1191 - logits_profile_predictions_loss: 282.6813 - logcount_predictions_loss: 489.7583 108/1081 [=>............................] - ETA: 14:37 - loss: 5437.3505 - logits_profile_predictions_loss: 282.6541 - logcount_predictions_loss: 486.2921 109/1081 [==>...........................] - ETA: 14:36 - loss: 5401.1545 - logits_profile_predictions_loss: 282.6268 - logcount_predictions_loss: 482.8800 110/1081 [==>...........................] - ETA: 14:35 - loss: 5365.5174 - logits_profile_predictions_loss: 282.5995 - logcount_predictions_loss: 479.5205 111/1081 [==>...........................] - ETA: 14:35 - loss: 5330.4252 - logits_profile_predictions_loss: 282.5716 - logcount_predictions_loss: 476.2126 112/1081 [==>...........................] - ETA: 14:34 - loss: 5295.8659 - logits_profile_predictions_loss: 282.5439 - logcount_predictions_loss: 472.9549 113/1081 [==>...........................] - ETA: 14:33 - loss: 5261.8266 - logits_profile_predictions_loss: 282.5162 - logcount_predictions_loss: 469.7463 114/1081 [==>...........................] - ETA: 14:32 - loss: 5228.2950 - logits_profile_predictions_loss: 282.4880 - logcount_predictions_loss: 466.5856 115/1081 [==>...........................] - ETA: 14:31 - loss: 5195.2599 - logits_profile_predictions_loss: 282.4599 - logcount_predictions_loss: 463.4717 116/1081 [==>...........................] - ETA: 14:30 - loss: 5162.7099 - logits_profile_predictions_loss: 282.4321 - logcount_predictions_loss: 460.4036 117/1081 [==>...........................] - ETA: 14:29 - loss: 5130.6354 - logits_profile_predictions_loss: 282.4054 - logcount_predictions_loss: 457.3802 118/1081 [==>...........................] - ETA: 14:28 - loss: 5099.0232 - logits_profile_predictions_loss: 282.3778 - logcount_predictions_loss: 454.4005 119/1081 [==>...........................] - ETA: 14:27 - loss: 5067.8628 - logits_profile_predictions_loss: 282.3493 - logcount_predictions_loss: 451.4635 120/1081 [==>...........................] - ETA: 14:26 - loss: 5037.1467 - logits_profile_predictions_loss: 282.3219 - logcount_predictions_loss: 448.5684 121/1081 [==>...........................] - ETA: 14:26 - loss: 5006.8666 - logits_profile_predictions_loss: 282.2971 - logcount_predictions_loss: 445.7141 122/1081 [==>...........................] - ETA: 14:25 - loss: 4977.0142 - logits_profile_predictions_loss: 282.2758 - logcount_predictions_loss: 442.8998 123/1081 [==>...........................] - ETA: 14:24 - loss: 4947.5781 - logits_profile_predictions_loss: 282.2560 - logcount_predictions_loss: 440.1247 124/1081 [==>...........................] - ETA: 14:23 - loss: 4918.5489 - logits_profile_predictions_loss: 282.2373 - logcount_predictions_loss: 437.3879 125/1081 [==>...........................] - ETA: 14:22 - loss: 4889.9160 - logits_profile_predictions_loss: 282.2181 - logcount_predictions_loss: 434.6885 126/1081 [==>...........................] - ETA: 14:21 - loss: 4861.6714 - logits_profile_predictions_loss: 282.1987 - logcount_predictions_loss: 432.0257 127/1081 [==>...........................] - ETA: 14:20 - loss: 4833.8073 - logits_profile_predictions_loss: 282.1792 - logcount_predictions_loss: 429.3989 128/1081 [==>...........................] - ETA: 14:19 - loss: 4806.3143 - logits_profile_predictions_loss: 282.1585 - logcount_predictions_loss: 426.8071 129/1081 [==>...........................] - ETA: 14:18 - loss: 4779.1860 - logits_profile_predictions_loss: 282.1377 - logcount_predictions_loss: 424.2498 130/1081 [==>...........................] - ETA: 14:17 - loss: 4752.4148 - logits_profile_predictions_loss: 282.1167 - logcount_predictions_loss: 421.7262 131/1081 [==>...........................] - ETA: 14:17 - loss: 4725.9970 - logits_profile_predictions_loss: 282.0986 - logcount_predictions_loss: 419.2357 132/1081 [==>...........................] - ETA: 14:16 - loss: 4699.9204 - logits_profile_predictions_loss: 282.0791 - logcount_predictions_loss: 416.7775 133/1081 [==>...........................] - ETA: 14:15 - loss: 4674.1816 - logits_profile_predictions_loss: 282.0610 - logcount_predictions_loss: 414.3510 134/1081 [==>...........................] - ETA: 14:14 - loss: 4648.7761 - logits_profile_predictions_loss: 282.0464 - logcount_predictions_loss: 411.9556 135/1081 [==>...........................] - ETA: 14:13 - loss: 4623.6956 - logits_profile_predictions_loss: 282.0336 - logcount_predictions_loss: 409.5907 136/1081 [==>...........................] - ETA: 14:12 - loss: 4598.9314 - logits_profile_predictions_loss: 282.0208 - logcount_predictions_loss: 407.2557 137/1081 [==>...........................] - ETA: 14:11 - loss: 4574.4780 - logits_profile_predictions_loss: 282.0083 - logcount_predictions_loss: 404.9500 138/1081 [==>...........................] - ETA: 14:10 - loss: 4550.3302 - logits_profile_predictions_loss: 281.9970 - logcount_predictions_loss: 402.6729 139/1081 [==>...........................] - ETA: 14:09 - loss: 4526.4819 - logits_profile_predictions_loss: 281.9866 - logcount_predictions_loss: 400.4241 140/1081 [==>...........................] - ETA: 14:08 - loss: 4502.9255 - logits_profile_predictions_loss: 281.9754 - logcount_predictions_loss: 398.2028 141/1081 [==>...........................] - ETA: 14:07 - loss: 4479.6556 - logits_profile_predictions_loss: 281.9635 - logcount_predictions_loss: 396.0087 142/1081 [==>...........................] - ETA: 14:07 - loss: 4456.6669 - logits_profile_predictions_loss: 281.9512 - logcount_predictions_loss: 393.8411 143/1081 [==>...........................] - ETA: 14:06 - loss: 4433.9564 - logits_profile_predictions_loss: 281.9403 - logcount_predictions_loss: 391.6996 144/1081 [==>...........................] - ETA: 14:05 - loss: 4411.5174 - logits_profile_predictions_loss: 281.9297 - logcount_predictions_loss: 389.5837 145/1081 [===>..........................] - ETA: 14:04 - loss: 4389.3450 - logits_profile_predictions_loss: 281.9192 - logcount_predictions_loss: 387.4930 146/1081 [===>..........................] - ETA: 14:03 - loss: 4367.4331 - logits_profile_predictions_loss: 281.9079 - logcount_predictions_loss: 385.4269 147/1081 [===>..........................] - ETA: 14:02 - loss: 4345.7790 - logits_profile_predictions_loss: 281.8976 - logcount_predictions_loss: 383.3850 148/1081 [===>..........................] - ETA: 14:01 - loss: 4324.3768 - logits_profile_predictions_loss: 281.8871 - logcount_predictions_loss: 381.3669 149/1081 [===>..........................] - ETA: 14:00 - loss: 4303.2214 - logits_profile_predictions_loss: 281.8761 - logcount_predictions_loss: 379.3722 150/1081 [===>..........................] - ETA: 13:59 - loss: 4282.3070 - logits_profile_predictions_loss: 281.8631 - logcount_predictions_loss: 377.4004 151/1081 [===>..........................] - ETA: 13:58 - loss: 4261.6318 - logits_profile_predictions_loss: 281.8506 - logcount_predictions_loss: 375.4511 152/1081 [===>..........................] - ETA: 13:58 - loss: 4241.1904 - logits_profile_predictions_loss: 281.8375 - logcount_predictions_loss: 373.5239 153/1081 [===>..........................] - ETA: 13:57 - loss: 4220.9816 - logits_profile_predictions_loss: 281.8261 - logcount_predictions_loss: 371.6184 154/1081 [===>..........................] - ETA: 13:56 - loss: 4200.9974 - logits_profile_predictions_loss: 281.8132 - logcount_predictions_loss: 369.7344 155/1081 [===>..........................] - ETA: 13:55 - loss: 4181.2347 - logits_profile_predictions_loss: 281.7994 - logcount_predictions_loss: 367.8713 156/1081 [===>..........................] - ETA: 13:54 - loss: 4161.6901 - logits_profile_predictions_loss: 281.7850 - logcount_predictions_loss: 366.0288 157/1081 [===>..........................] - ETA: 13:53 - loss: 4142.3618 - logits_profile_predictions_loss: 281.7718 - logcount_predictions_loss: 364.2066 158/1081 [===>..........................] - ETA: 13:52 - loss: 4123.2447 - logits_profile_predictions_loss: 281.7585 - logcount_predictions_loss: 362.4044 159/1081 [===>..........................] - ETA: 13:51 - loss: 4104.3352 - logits_profile_predictions_loss: 281.7451 - logcount_predictions_loss: 360.6217 160/1081 [===>..........................] - ETA: 13:50 - loss: 4085.6300 - logits_profile_predictions_loss: 281.7318 - logcount_predictions_loss: 358.8583 161/1081 [===>..........................] - ETA: 13:49 - loss: 4067.1248 - logits_profile_predictions_loss: 281.7178 - logcount_predictions_loss: 357.1139 162/1081 [===>..........................] - ETA: 13:48 - loss: 4048.8175 - logits_profile_predictions_loss: 281.7042 - logcount_predictions_loss: 355.3880 163/1081 [===>..........................] - ETA: 13:48 - loss: 4030.7043 - logits_profile_predictions_loss: 281.6904 - logcount_predictions_loss: 353.6806 164/1081 [===>..........................] - ETA: 13:47 - loss: 4012.7827 - logits_profile_predictions_loss: 281.6772 - logcount_predictions_loss: 351.9911 165/1081 [===>..........................] - ETA: 13:46 - loss: 3995.0512 - logits_profile_predictions_loss: 281.6659 - logcount_predictions_loss: 350.3194 166/1081 [===>..........................] - ETA: 13:45 - loss: 3977.5035 - logits_profile_predictions_loss: 281.6536 - logcount_predictions_loss: 348.6651 167/1081 [===>..........................] - ETA: 13:44 - loss: 3960.1386 - logits_profile_predictions_loss: 281.6422 - logcount_predictions_loss: 347.0280 168/1081 [===>..........................] - ETA: 13:43 - loss: 3942.9539 - logits_profile_predictions_loss: 281.6318 - logcount_predictions_loss: 345.4077 169/1081 [===>..........................] - ETA: 13:42 - loss: 3925.9443 - logits_profile_predictions_loss: 281.6205 - logcount_predictions_loss: 343.8041 170/1081 [===>..........................] - ETA: 13:41 - loss: 3909.1086 - logits_profile_predictions_loss: 281.6097 - logcount_predictions_loss: 342.21692022-03-25_21-41-06: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/k562_atac_bias_new.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/ +evaluating hyperparameters on the following chromosomes ['chr2', 'chr4', 'chr5', 'chr7', 'chr9', 'chr10', 'chr11', 'chr12', 'chr13', 'chr14', 'chr15', 'chr16', 'chr17', 'chr18', 'chr19', 'chr21', 'chr22', 'chrX', 'chrY', 'chr8', 'chr20'] +Number of peaks input: 69608 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 69608 +Number of peaks input: 19338 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 19338 +Number of non peaks input: 69608 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 69608 +Number of non peaks input: 19337 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 19337 +Number of peaks after removing outliers: 68836 +Number of nonpeaks after removing outliers: 61503 +got the model +Model: "functional_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/1922 [..............................] - ETA: 10:01:36 8/1922 [..............................] - ETA: 14s  15/1922 [..............................] - ETA: 14s 23/1922 [..............................] - ETA: 13s 31/1922 [..............................] - ETA: 13s 39/1922 [..............................] - ETA: 13s 47/1922 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ETA: 0s 1824/1922 [===========================>..] - ETA: 0s 1832/1922 [===========================>..] - ETA: 0s 1840/1922 [===========================>..] - ETA: 0s 1848/1922 [===========================>..] - ETA: 0s 1857/1922 [===========================>..] - ETA: 0s 1866/1922 [============================>.] - ETA: 0s 1874/1922 [============================>.] - ETA: 0s 1882/1922 [============================>.] - ETA: 0s 1890/1922 [============================>.] - ETA: 0s 1898/1922 [============================>.] - ETA: 0s 1906/1922 [============================>.] - ETA: 0s 1914/1922 [============================>.] - ETA: 0s 1922/1922 [==============================] - ETA: 0s 1922/1922 [==============================] - 32s 7ms/step +2022-03-25_21-47-00: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.6', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(62870, 10) +loading nonpeaks... +got split:train for bed regions:(56100, 10) +loading peaks... +got split:valid for bed regions:(5966, 10) +loading nonpeaks... +got split:valid for bed regions:(5403, 10) +Epoch 1/50 + 1/1081 [..............................] - ETA: 3:21:53 - loss: 314.1457 - logits_profile_predictions_loss: 293.9009 - logcount_predictions_loss: 1.9099 2/1081 [..............................] - ETA: 2:49 - loss: 1966.2991 - logits_profile_predictions_loss: 292.8961 - logcount_predictions_loss: 157.8682 3/1081 [..............................] - ETA: 2:48 - loss: 2145.4695 - logits_profile_predictions_loss: 288.8703 - logcount_predictions_loss: 175.1509 4/1081 [..............................] - ETA: 2:48 - loss: 2096.4154 - logits_profile_predictions_loss: 286.1210 - logcount_predictions_loss: 170.7825 5/1081 [..............................] - ETA: 2:47 - loss: 2002.1396 - logits_profile_predictions_loss: 285.6426 - logcount_predictions_loss: 161.9337 6/1081 [..............................] - ETA: 2:47 - loss: 1901.9357 - logits_profile_predictions_loss: 284.7486 - logcount_predictions_loss: 152.5648 7/1081 [..............................] - ETA: 2:47 - loss: 1807.8671 - logits_profile_predictions_loss: 284.1100 - logcount_predictions_loss: 143.7507 8/1081 [..............................] - ETA: 2:47 - loss: 1722.5674 - logits_profile_predictions_loss: 283.6400 - logcount_predictions_loss: 135.7479 9/1081 [..............................] - ETA: 2:46 - loss: 1646.3433 - logits_profile_predictions_loss: 283.5524 - logcount_predictions_loss: 128.5652 10/1081 [..............................] - ETA: 2:46 - loss: 1577.9944 - logits_profile_predictions_loss: 283.4513 - logcount_predictions_loss: 122.1267 11/1081 [..............................] - ETA: 2:46 - loss: 1516.9188 - logits_profile_predictions_loss: 283.6357 - logcount_predictions_loss: 116.3475 12/1081 [..............................] - ETA: 2:46 - loss: 1461.8876 - logits_profile_predictions_loss: 283.8248 - logcount_predictions_loss: 111.1380 13/1081 [..............................] - ETA: 2:46 - loss: 1412.0467 - logits_profile_predictions_loss: 283.9688 - logcount_predictions_loss: 106.4224 14/1081 [..............................] - ETA: 2:46 - loss: 1366.7779 - logits_profile_predictions_loss: 284.1366 - logcount_predictions_loss: 102.1360 15/1081 [..............................] - ETA: 2:45 - loss: 1325.5711 - logits_profile_predictions_loss: 284.3920 - logcount_predictions_loss: 98.2244  16/1081 [..............................] - ETA: 2:45 - loss: 1287.6533 - logits_profile_predictions_loss: 284.4878 - logcount_predictions_loss: 94.6382 17/1081 [..............................] - ETA: 2:45 - loss: 1252.6567 - logits_profile_predictions_loss: 284.4688 - logcount_predictions_loss: 91.3385 18/1081 [..............................] - ETA: 2:45 - loss: 1220.3440 - logits_profile_predictions_loss: 284.4455 - logcount_predictions_loss: 88.2923 19/1081 [..............................] - ETA: 2:45 - loss: 1190.4027 - logits_profile_predictions_loss: 284.4172 - logcount_predictions_loss: 85.4703 20/1081 [..............................] - ETA: 2:45 - loss: 1162.5897 - logits_profile_predictions_loss: 284.3965 - logcount_predictions_loss: 82.8484 21/1081 [..............................] - ETA: 2:45 - loss: 1136.7494 - logits_profile_predictions_loss: 284.4456 - logcount_predictions_loss: 80.4060 22/1081 [..............................] - ETA: 2:44 - loss: 1112.6136 - logits_profile_predictions_loss: 284.4964 - logcount_predictions_loss: 78.1242 23/1081 [..............................] - ETA: 2:44 - loss: 1090.0780 - logits_profile_predictions_loss: 284.6092 - logcount_predictions_loss: 75.9876 24/1081 [..............................] - ETA: 2:44 - loss: 1068.9414 - logits_profile_predictions_loss: 284.7293 - logcount_predictions_loss: 73.9823 25/1081 [..............................] - ETA: 2:44 - loss: 1049.0480 - logits_profile_predictions_loss: 284.8345 - logcount_predictions_loss: 72.0956 26/1081 [..............................] - ETA: 2:44 - loss: 1030.3183 - logits_profile_predictions_loss: 284.9516 - logcount_predictions_loss: 70.3176 27/1081 [..............................] - ETA: 2:44 - loss: 1012.5890 - logits_profile_predictions_loss: 285.0273 - logcount_predictions_loss: 68.6379 28/1081 [..............................] - ETA: 2:44 - loss: 995.7542 - logits_profile_predictions_loss: 285.0447 - logcount_predictions_loss: 67.0481  29/1081 [..............................] - ETA: 2:44 - loss: 979.7753 - logits_profile_predictions_loss: 285.0399 - logcount_predictions_loss: 65.5411 30/1081 [..............................] - ETA: 2:43 - loss: 964.6502 - logits_profile_predictions_loss: 285.0736 - logcount_predictions_loss: 64.1110 31/1081 [..............................] - ETA: 2:43 - loss: 950.2649 - logits_profile_predictions_loss: 285.0994 - logcount_predictions_loss: 62.7515 32/1081 [..............................] - ETA: 2:43 - loss: 936.5394 - logits_profile_predictions_loss: 285.0963 - logcount_predictions_loss: 61.4569 33/1081 [..............................] - ETA: 2:43 - loss: 923.4936 - logits_profile_predictions_loss: 285.1267 - logcount_predictions_loss: 60.2233 34/1081 [..............................] - ETA: 2:43 - loss: 911.0294 - logits_profile_predictions_loss: 285.1447 - logcount_predictions_loss: 59.0457 35/1081 [..............................] - ETA: 2:43 - loss: 899.1211 - logits_profile_predictions_loss: 285.1632 - logcount_predictions_loss: 57.9206 36/1081 [..............................] - ETA: 2:42 - loss: 887.7249 - logits_profile_predictions_loss: 285.1778 - logcount_predictions_loss: 56.8441 37/1081 [>.............................] - ETA: 2:42 - loss: 876.7964 - logits_profile_predictions_loss: 285.1790 - logcount_predictions_loss: 55.8130 38/1081 [>.............................] - ETA: 2:42 - loss: 866.3010 - logits_profile_predictions_loss: 285.1644 - logcount_predictions_loss: 54.8242 39/1081 [>.............................] - ETA: 2:42 - loss: 856.2229 - logits_profile_predictions_loss: 285.1442 - logcount_predictions_loss: 53.8753 40/1081 [>.............................] - ETA: 2:42 - loss: 846.5512 - logits_profile_predictions_loss: 285.1319 - logcount_predictions_loss: 52.9641 41/1081 [>.............................] - ETA: 2:42 - loss: 837.2381 - logits_profile_predictions_loss: 285.1069 - logcount_predictions_loss: 52.0878 42/1081 [>.............................] - ETA: 2:42 - loss: 828.2687 - logits_profile_predictions_loss: 285.0757 - logcount_predictions_loss: 51.2446 43/1081 [>.............................] - ETA: 2:41 - loss: 819.6341 - logits_profile_predictions_loss: 285.0473 - logcount_predictions_loss: 50.4327 44/1081 [>.............................] - ETA: 2:41 - loss: 811.2860 - logits_profile_predictions_loss: 284.9975 - logcount_predictions_loss: 49.6499 45/1081 [>.............................] - ETA: 2:41 - loss: 803.2501 - logits_profile_predictions_loss: 284.9637 - logcount_predictions_loss: 48.8949 46/1081 [>.............................] - ETA: 2:41 - loss: 795.4842 - logits_profile_predictions_loss: 284.9224 - logcount_predictions_loss: 48.1662 47/1081 [>.............................] - ETA: 2:41 - loss: 787.9845 - logits_profile_predictions_loss: 284.8833 - logcount_predictions_loss: 47.4624 48/1081 [>.............................] - ETA: 2:41 - loss: 780.7264 - logits_profile_predictions_loss: 284.8375 - logcount_predictions_loss: 46.7820 49/1081 [>.............................] - ETA: 2:41 - loss: 773.7033 - logits_profile_predictions_loss: 284.7902 - logcount_predictions_loss: 46.1239 50/1081 [>.............................] - ETA: 2:40 - loss: 766.8960 - logits_profile_predictions_loss: 284.7353 - logcount_predictions_loss: 45.4869 51/1081 [>.............................] - ETA: 2:40 - loss: 760.3039 - logits_profile_predictions_loss: 284.6810 - logcount_predictions_loss: 44.8701 52/1081 [>.............................] - ETA: 2:40 - loss: 753.8987 - logits_profile_predictions_loss: 284.6121 - logcount_predictions_loss: 44.2723 53/1081 [>.............................] - ETA: 2:40 - loss: 747.7003 - logits_profile_predictions_loss: 284.5545 - logcount_predictions_loss: 43.6930 54/1081 [>.............................] - ETA: 2:40 - loss: 741.6950 - logits_profile_predictions_loss: 284.5040 - logcount_predictions_loss: 43.1312 55/1081 [>.............................] - ETA: 2:40 - loss: 735.8551 - logits_profile_predictions_loss: 284.4447 - logcount_predictions_loss: 42.5859 56/1081 [>.............................] - ETA: 2:39 - loss: 730.1903 - logits_profile_predictions_loss: 284.3918 - logcount_predictions_loss: 42.0565 57/1081 [>.............................] - ETA: 2:39 - loss: 724.6817 - logits_profile_predictions_loss: 284.3355 - logcount_predictions_loss: 41.5421 58/1081 [>.............................] - ETA: 2:39 - loss: 719.3332 - logits_profile_predictions_loss: 284.2849 - logcount_predictions_loss: 41.0423 59/1081 [>.............................] - ETA: 2:39 - loss: 714.1329 - logits_profile_predictions_loss: 284.2358 - logcount_predictions_loss: 40.5563 60/1081 [>.............................] - ETA: 2:39 - loss: 709.0722 - logits_profile_predictions_loss: 284.1857 - logcount_predictions_loss: 40.0836 61/1081 [>.............................] - ETA: 2:39 - loss: 704.1446 - logits_profile_predictions_loss: 284.1342 - logcount_predictions_loss: 39.6236 62/1081 [>.............................] - ETA: 2:39 - loss: 699.3425 - logits_profile_predictions_loss: 284.0795 - logcount_predictions_loss: 39.1757 63/1081 [>.............................] - ETA: 2:38 - loss: 694.6654 - logits_profile_predictions_loss: 284.0264 - logcount_predictions_loss: 38.7395 64/1081 [>.............................] - ETA: 2:38 - loss: 690.1105 - logits_profile_predictions_loss: 283.9762 - logcount_predictions_loss: 38.3146 65/1081 [>.............................] - ETA: 2:38 - loss: 685.6754 - logits_profile_predictions_loss: 283.9311 - logcount_predictions_loss: 37.9004 66/1081 [>.............................] - ETA: 2:38 - loss: 681.3560 - logits_profile_predictions_loss: 283.8917 - logcount_predictions_loss: 37.4966 67/1081 [>.............................] - ETA: 2:38 - loss: 677.1420 - logits_profile_predictions_loss: 283.8527 - logcount_predictions_loss: 37.1028 68/1081 [>.............................] - ETA: 2:38 - loss: 673.0251 - logits_profile_predictions_loss: 283.8100 - logcount_predictions_loss: 36.7184 69/1081 [>.............................] - ETA: 2:37 - loss: 669.0088 - logits_profile_predictions_loss: 283.7698 - logcount_predictions_loss: 36.3433 70/1081 [>.............................] - ETA: 2:37 - loss: 665.0878 - logits_profile_predictions_loss: 283.7308 - logcount_predictions_loss: 35.9771 71/1081 [>.............................] - ETA: 2:37 - loss: 661.2600 - logits_profile_predictions_loss: 283.6941 - logcount_predictions_loss: 35.6194 72/1081 [>.............................] - ETA: 2:37 - loss: 657.5183 - logits_profile_predictions_loss: 283.6564 - logcount_predictions_loss: 35.2700 73/1081 [=>............................] - ETA: 2:37 - loss: 653.8603 - logits_profile_predictions_loss: 283.6183 - logcount_predictions_loss: 34.9285 74/1081 [=>............................] - ETA: 2:37 - loss: 650.2831 - logits_profile_predictions_loss: 283.5802 - logcount_predictions_loss: 34.5946 75/1081 [=>............................] - ETA: 2:36 - loss: 646.7844 - logits_profile_predictions_loss: 283.5421 - logcount_predictions_loss: 34.2681 76/1081 [=>............................] - ETA: 2:36 - loss: 643.3597 - logits_profile_predictions_loss: 283.5026 - logcount_predictions_loss: 33.9488 77/1081 [=>............................] - ETA: 2:36 - loss: 640.0112 - logits_profile_predictions_loss: 283.4656 - logcount_predictions_loss: 33.6364 78/1081 [=>............................] - ETA: 2:36 - loss: 636.7341 - logits_profile_predictions_loss: 283.4295 - logcount_predictions_loss: 33.3306 79/1081 [=>............................] - ETA: 2:36 - loss: 633.5219 - logits_profile_predictions_loss: 283.3904 - logcount_predictions_loss: 33.0313 80/1081 [=>............................] - ETA: 2:36 - loss: 630.3767 - logits_profile_predictions_loss: 283.3523 - logcount_predictions_loss: 32.7382 81/1081 [=>............................] - ETA: 2:36 - loss: 627.2966 - logits_profile_predictions_loss: 283.3149 - logcount_predictions_loss: 32.4511 82/1081 [=>............................] - ETA: 2:35 - loss: 624.2820 - logits_profile_predictions_loss: 283.2804 - logcount_predictions_loss: 32.1700 83/1081 [=>............................] - ETA: 2:35 - loss: 621.3347 - logits_profile_predictions_loss: 283.2524 - logcount_predictions_loss: 31.8946 84/1081 [=>............................] - ETA: 2:35 - loss: 618.4469 - logits_profile_predictions_loss: 283.2256 - logcount_predictions_loss: 31.6246 85/1081 [=>............................] - ETA: 2:35 - loss: 615.6168 - logits_profile_predictions_loss: 283.2001 - logcount_predictions_loss: 31.3601 86/1081 [=>............................] - ETA: 2:35 - loss: 612.8406 - logits_profile_predictions_loss: 283.1740 - logcount_predictions_loss: 31.1006 87/1081 [=>............................] - ETA: 2:35 - loss: 610.1171 - logits_profile_predictions_loss: 283.1475 - logcount_predictions_loss: 30.8462 88/1081 [=>............................] - ETA: 2:34 - loss: 607.4457 - logits_profile_predictions_loss: 283.1214 - logcount_predictions_loss: 30.5966 89/1081 [=>............................] - ETA: 2:34 - loss: 604.8285 - logits_profile_predictions_loss: 283.0993 - logcount_predictions_loss: 30.3518 90/1081 [=>............................] - ETA: 2:34 - loss: 602.2629 - logits_profile_predictions_loss: 283.0798 - logcount_predictions_loss: 30.1116 91/1081 [=>............................] - ETA: 2:34 - loss: 599.7389 - logits_profile_predictions_loss: 283.0554 - logcount_predictions_loss: 29.8758 92/1081 [=>............................] - ETA: 2:34 - loss: 597.2575 - logits_profile_predictions_loss: 283.0285 - logcount_predictions_loss: 29.6442 93/1081 [=>............................] - ETA: 2:34 - loss: 594.8225 - logits_profile_predictions_loss: 283.0033 - logcount_predictions_loss: 29.4169 94/1081 [=>............................] - ETA: 2:33 - loss: 592.4310 - logits_profile_predictions_loss: 282.9786 - logcount_predictions_loss: 29.1936 95/1081 [=>............................] - ETA: 2:33 - loss: 590.0809 - logits_profile_predictions_loss: 282.9534 - logcount_predictions_loss: 28.9743 96/1081 [=>............................] - ETA: 2:33 - loss: 587.7715 - logits_profile_predictions_loss: 282.9281 - logcount_predictions_loss: 28.7588 97/1081 [=>............................] - ETA: 2:33 - loss: 585.5029 - logits_profile_predictions_loss: 282.9039 - logcount_predictions_loss: 28.5471 98/1081 [=>............................] - ETA: 2:33 - loss: 583.2719 - logits_profile_predictions_loss: 282.8787 - logcount_predictions_loss: 28.3390 99/1081 [=>............................] - ETA: 2:33 - loss: 581.0794 - logits_profile_predictions_loss: 282.8542 - logcount_predictions_loss: 28.1345 100/1081 [=>............................] - ETA: 2:33 - loss: 578.9230 - logits_profile_predictions_loss: 282.8291 - logcount_predictions_loss: 27.9334 101/1081 [=>............................] - ETA: 2:32 - loss: 576.8029 - logits_profile_predictions_loss: 282.8047 - logcount_predictions_loss: 27.7357 102/1081 [=>............................] - ETA: 2:32 - loss: 574.7174 - logits_profile_predictions_loss: 282.7801 - logcount_predictions_loss: 27.5413 103/1081 [=>............................] - ETA: 2:32 - loss: 572.6648 - logits_profile_predictions_loss: 282.7546 - logcount_predictions_loss: 27.3500 104/1081 [=>............................] - ETA: 2:32 - loss: 570.6409 - logits_profile_predictions_loss: 282.7251 - logcount_predictions_loss: 27.1619 105/1081 [=>............................] - ETA: 2:32 - loss: 568.6492 - logits_profile_predictions_loss: 282.6958 - logcount_predictions_loss: 26.9767 106/1081 [=>............................] - ETA: 2:32 - loss: 566.6877 - logits_profile_predictions_loss: 282.6654 - logcount_predictions_loss: 26.7945 107/1081 [=>............................] - ETA: 2:32 - loss: 564.7596 - logits_profile_predictions_loss: 282.6375 - logcount_predictions_loss: 26.6153 108/1081 [=>............................] - ETA: 2:31 - loss: 562.8615 - logits_profile_predictions_loss: 282.6097 - logcount_predictions_loss: 26.4388 109/1081 [==>...........................] - ETA: 2:31 - loss: 560.9923 - logits_profile_predictions_loss: 282.5817 - logcount_predictions_loss: 26.2651 110/1081 [==>...........................] - ETA: 2:31 - loss: 559.1515 - logits_profile_predictions_loss: 282.5537 - logcount_predictions_loss: 26.0941 111/1081 [==>...........................] - ETA: 2:31 - loss: 557.3378 - logits_profile_predictions_loss: 282.5252 - logcount_predictions_loss: 25.9257 112/1081 [==>...........................] - ETA: 2:31 - loss: 555.5514 - logits_profile_predictions_loss: 282.4967 - logcount_predictions_loss: 25.7599 113/1081 [==>...........................] - ETA: 2:31 - loss: 553.7913 - logits_profile_predictions_loss: 282.4683 - logcount_predictions_loss: 25.5965 114/1081 [==>...........................] - ETA: 2:30 - loss: 552.0565 - logits_profile_predictions_loss: 282.4394 - logcount_predictions_loss: 25.4356 115/1081 [==>...........................] - ETA: 2:30 - loss: 550.3473 - logits_profile_predictions_loss: 282.4108 - logcount_predictions_loss: 25.2770 116/1081 [==>...........................] - ETA: 2:30 - loss: 548.6629 - logits_profile_predictions_loss: 282.3823 - logcount_predictions_loss: 25.1208 117/1081 [==>...........................] - ETA: 2:30 - loss: 547.0040 - logits_profile_predictions_loss: 282.3550 - logcount_predictions_loss: 24.9669 118/1081 [==>...........................] - ETA: 2:30 - loss: 545.3677 - logits_profile_predictions_loss: 282.3268 - logcount_predictions_loss: 24.8152 119/1081 [==>...........................] - ETA: 2:30 - loss: 543.7534 - logits_profile_predictions_loss: 282.2976 - logcount_predictions_loss: 24.6656 120/1081 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[====>.........................] - ETA: 2:15 - loss: 454.6440 - logits_profile_predictions_loss: 281.0380 - logcount_predictions_loss: 16.3779 212/1081 [====>.........................] - ETA: 2:15 - loss: 454.0507 - logits_profile_predictions_loss: 281.0274 - logcount_predictions_loss: 16.3230 213/1081 [====>.........................] - ETA: 2:15 - loss: 453.4625 - logits_profile_predictions_loss: 281.0170 - logcount_predictions_loss: 16.2684 214/1081 [====>.........................] - ETA: 2:15 - loss: 452.8787 - logits_profile_predictions_loss: 281.0064 - logcount_predictions_loss: 16.2144 215/1081 [====>.........................] - ETA: 2:15 - loss: 452.2997 - logits_profile_predictions_loss: 280.9959 - logcount_predictions_loss: 16.1607 216/1081 [====>.........................] - ETA: 2:14 - loss: 451.7256 - logits_profile_predictions_loss: 280.9858 - logcount_predictions_loss: 16.1075 217/1081 [=====>........................] - ETA: 2:14 - loss: 451.1557 - 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[=====>........................] - ETA: 2:13 - loss: 447.2862 - logits_profile_predictions_loss: 280.8997 - logcount_predictions_loss: 15.6968 225/1081 [=====>........................] - ETA: 2:13 - loss: 446.7500 - logits_profile_predictions_loss: 280.8887 - logcount_predictions_loss: 15.6473 226/1081 [=====>........................] - ETA: 2:13 - loss: 446.2188 - logits_profile_predictions_loss: 280.8785 - logcount_predictions_loss: 15.5981 227/1081 [=====>........................] - ETA: 2:13 - loss: 445.6924 - logits_profile_predictions_loss: 280.8689 - logcount_predictions_loss: 15.5494 228/1081 [=====>........................] - ETA: 2:13 - loss: 445.1698 - logits_profile_predictions_loss: 280.8593 - logcount_predictions_loss: 15.5010 229/1081 [=====>........................] - ETA: 2:13 - loss: 444.6512 - logits_profile_predictions_loss: 280.8496 - logcount_predictions_loss: 15.4530 230/1081 [=====>........................] - ETA: 2:12 - loss: 444.1366 - 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[=====>........................] - ETA: 2:11 - loss: 440.6447 - logits_profile_predictions_loss: 280.7790 - logcount_predictions_loss: 15.0817 238/1081 [=====>........................] - ETA: 2:11 - loss: 440.1610 - logits_profile_predictions_loss: 280.7708 - logcount_predictions_loss: 15.0368 239/1081 [=====>........................] - ETA: 2:11 - loss: 439.6806 - logits_profile_predictions_loss: 280.7625 - logcount_predictions_loss: 14.9923 240/1081 [=====>........................] - ETA: 2:11 - loss: 439.2034 - logits_profile_predictions_loss: 280.7540 - logcount_predictions_loss: 14.9481 241/1081 [=====>........................] - ETA: 2:11 - loss: 438.7302 - logits_profile_predictions_loss: 280.7460 - logcount_predictions_loss: 14.9042 242/1081 [=====>........................] - ETA: 2:11 - loss: 438.2601 - logits_profile_predictions_loss: 280.7377 - logcount_predictions_loss: 14.8606 243/1081 [=====>........................] - ETA: 2:11 - loss: 437.7933 - 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[=====>........................] - ETA: 2:13 - loss: 279.1755 - logits_profile_predictions_loss: 274.4990 - logcount_predictions_loss: 0.4412 221/1081 [=====>........................] - ETA: 2:13 - loss: 279.1825 - logits_profile_predictions_loss: 274.5060 - logcount_predictions_loss: 0.4412 222/1081 [=====>........................] - ETA: 2:13 - loss: 279.1896 - logits_profile_predictions_loss: 274.5132 - logcount_predictions_loss: 0.4412 223/1081 [=====>........................] - ETA: 2:13 - loss: 279.1969 - logits_profile_predictions_loss: 274.5205 - logcount_predictions_loss: 0.4412 224/1081 [=====>........................] - ETA: 2:13 - loss: 279.2043 - logits_profile_predictions_loss: 274.5280 - logcount_predictions_loss: 0.4412 225/1081 [=====>........................] - ETA: 2:12 - loss: 279.2115 - logits_profile_predictions_loss: 274.5353 - logcount_predictions_loss: 0.4411 226/1081 [=====>........................] - ETA: 2:12 - loss: 279.2188 - 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[=====>........................] - ETA: 2:11 - loss: 279.2696 - logits_profile_predictions_loss: 274.5941 - logcount_predictions_loss: 0.4411 234/1081 [=====>........................] - ETA: 2:11 - loss: 279.2768 - logits_profile_predictions_loss: 274.6013 - logcount_predictions_loss: 0.4411 235/1081 [=====>........................] - ETA: 2:11 - loss: 279.2836 - logits_profile_predictions_loss: 274.6083 - logcount_predictions_loss: 0.4411 236/1081 [=====>........................] - ETA: 2:11 - loss: 279.2901 - logits_profile_predictions_loss: 274.6149 - logcount_predictions_loss: 0.4411 237/1081 [=====>........................] - ETA: 2:10 - loss: 279.2967 - logits_profile_predictions_loss: 274.6216 - logcount_predictions_loss: 0.4410 238/1081 [=====>........................] - ETA: 2:10 - loss: 279.3036 - logits_profile_predictions_loss: 274.6287 - logcount_predictions_loss: 0.4410 239/1081 [=====>........................] - ETA: 2:10 - loss: 279.3105 - 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[=====>........................] - ETA: 2:09 - loss: 279.3545 - logits_profile_predictions_loss: 274.6808 - logcount_predictions_loss: 0.4409 247/1081 [=====>........................] - ETA: 2:09 - loss: 279.3604 - logits_profile_predictions_loss: 274.6870 - logcount_predictions_loss: 0.4409 248/1081 [=====>........................] - ETA: 2:09 - loss: 279.3663 - logits_profile_predictions_loss: 274.6930 - logcount_predictions_loss: 0.4409 249/1081 [=====>........................] - ETA: 2:09 - loss: 279.3719 - logits_profile_predictions_loss: 274.6988 - logcount_predictions_loss: 0.4409 250/1081 [=====>........................] - ETA: 2:08 - loss: 279.3771 - logits_profile_predictions_loss: 274.7042 - logcount_predictions_loss: 0.4408 251/1081 [=====>........................] - ETA: 2:08 - loss: 279.3823 - logits_profile_predictions_loss: 274.7096 - logcount_predictions_loss: 0.4408 252/1081 [=====>........................] - ETA: 2:08 - loss: 279.3873 - 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[==>...........................] - ETA: 2:25 - loss: 275.7314 - logits_profile_predictions_loss: 271.8661 - logcount_predictions_loss: 0.3647 135/1081 [==>...........................] - ETA: 2:25 - loss: 275.7226 - logits_profile_predictions_loss: 271.8581 - logcount_predictions_loss: 0.3646 136/1081 [==>...........................] - ETA: 2:25 - loss: 275.7132 - logits_profile_predictions_loss: 271.8495 - logcount_predictions_loss: 0.3645 137/1081 [==>...........................] - ETA: 2:25 - loss: 275.7034 - logits_profile_predictions_loss: 271.8404 - logcount_predictions_loss: 0.3644 138/1081 [==>...........................] - ETA: 2:24 - loss: 275.6931 - logits_profile_predictions_loss: 271.8308 - logcount_predictions_loss: 0.3644 139/1081 [==>...........................] - ETA: 2:24 - loss: 275.6832 - logits_profile_predictions_loss: 271.8216 - logcount_predictions_loss: 0.3643 140/1081 [==>...........................] - ETA: 2:24 - loss: 275.6727 - logits_profile_predictions_loss: 271.8116 - logcount_predictions_loss: 0.3643 141/1081 [==>...........................] - ETA: 2:24 - loss: 275.6616 - logits_profile_predictions_loss: 271.8012 - logcount_predictions_loss: 0.3642 142/1081 [==>...........................] - ETA: 2:24 - loss: 275.6509 - logits_profile_predictions_loss: 271.7912 - logcount_predictions_loss: 0.3641 143/1081 [==>...........................] - ETA: 2:24 - loss: 275.6414 - logits_profile_predictions_loss: 271.7824 - logcount_predictions_loss: 0.3641 144/1081 [==>...........................] - ETA: 2:24 - loss: 275.6321 - logits_profile_predictions_loss: 271.7739 - logcount_predictions_loss: 0.3640 145/1081 [===>..........................] - ETA: 2:23 - loss: 275.6218 - logits_profile_predictions_loss: 271.7643 - logcount_predictions_loss: 0.3639 146/1081 [===>..........................] - ETA: 2:23 - loss: 275.6125 - logits_profile_predictions_loss: 271.7557 - logcount_predictions_loss: 0.3639 147/1081 [===>..........................] - ETA: 2:23 - loss: 275.6028 - logits_profile_predictions_loss: 271.7467 - logcount_predictions_loss: 0.3638 148/1081 [===>..........................] - ETA: 2:23 - loss: 275.5937 - logits_profile_predictions_loss: 271.7383 - logcount_predictions_loss: 0.3637 149/1081 [===>..........................] - ETA: 2:23 - loss: 275.5845 - logits_profile_predictions_loss: 271.7298 - logcount_predictions_loss: 0.3637 150/1081 [===>..........................] - ETA: 2:23 - loss: 275.5754 - logits_profile_predictions_loss: 271.7213 - logcount_predictions_loss: 0.3636 151/1081 [===>..........................] - ETA: 2:23 - loss: 275.5662 - logits_profile_predictions_loss: 271.7127 - logcount_predictions_loss: 0.3635 152/1081 [===>..........................] - ETA: 2:22 - loss: 275.5579 - logits_profile_predictions_loss: 271.7049 - logcount_predictions_loss: 0.3635 153/1081 [===>..........................] - ETA: 2:22 - loss: 275.5499 - logits_profile_predictions_loss: 271.6973 - logcount_predictions_loss: 0.3635 154/1081 [===>..........................] - ETA: 2:22 - loss: 275.5416 - logits_profile_predictions_loss: 271.6895 - logcount_predictions_loss: 0.3634 155/1081 [===>..........................] - ETA: 2:22 - loss: 275.5333 - logits_profile_predictions_loss: 271.6816 - logcount_predictions_loss: 0.3634 156/1081 [===>..........................] - ETA: 2:22 - loss: 275.5243 - logits_profile_predictions_loss: 271.6730 - logcount_predictions_loss: 0.3633 157/1081 [===>..........................] - ETA: 2:22 - loss: 275.5162 - logits_profile_predictions_loss: 271.6654 - logcount_predictions_loss: 0.3633 158/1081 [===>..........................] - ETA: 2:21 - loss: 275.5072 - logits_profile_predictions_loss: 271.6569 - logcount_predictions_loss: 0.3632 159/1081 [===>..........................] - ETA: 2:21 - loss: 275.4979 - logits_profile_predictions_loss: 271.6481 - logcount_predictions_loss: 0.3632 160/1081 [===>..........................] - ETA: 2:21 - loss: 275.4887 - logits_profile_predictions_loss: 271.6394 - logcount_predictions_loss: 0.3631 161/1081 [===>..........................] - ETA: 2:21 - loss: 275.4798 - logits_profile_predictions_loss: 271.6309 - logcount_predictions_loss: 0.3631 162/1081 [===>..........................] - ETA: 2:21 - loss: 275.4720 - logits_profile_predictions_loss: 271.6235 - logcount_predictions_loss: 0.3631 163/1081 [===>..........................] - ETA: 2:21 - loss: 275.4643 - logits_profile_predictions_loss: 271.6163 - logcount_predictions_loss: 0.3630 164/1081 [===>..........................] - ETA: 2:21 - loss: 275.4573 - logits_profile_predictions_loss: 271.6097 - logcount_predictions_loss: 0.3630 165/1081 [===>..........................] - ETA: 2:20 - loss: 275.4499 - logits_profile_predictions_loss: 271.6027 - logcount_predictions_loss: 0.3629 166/1081 [===>..........................] - ETA: 2:20 - loss: 275.4414 - logits_profile_predictions_loss: 271.5945 - logcount_predictions_loss: 0.3629 167/1081 [===>..........................] - ETA: 2:20 - loss: 275.4330 - logits_profile_predictions_loss: 271.5864 - logcount_predictions_loss: 0.3629 168/1081 [===>..........................] - ETA: 2:20 - loss: 275.4237 - logits_profile_predictions_loss: 271.5774 - logcount_predictions_loss: 0.3629 169/1081 [===>..........................] - ETA: 2:20 - loss: 275.4143 - logits_profile_predictions_loss: 271.5684 - logcount_predictions_loss: 0.3628 170/1081 [===>..........................] - ETA: 2:20 - loss: 275.4050 - logits_profile_predictions_loss: 271.5593 - logcount_predictions_loss: 0.3628 171/1081 [===>..........................] - ETA: 2:19 - loss: 275.3957 - logits_profile_predictions_loss: 271.5503 - logcount_predictions_loss: 0.3628 172/1081 [===>..........................] - ETA: 2:19 - loss: 275.3855 - logits_profile_predictions_loss: 271.5403 - logcount_predictions_loss: 0.3628 173/1081 [===>..........................] - ETA: 2:19 - loss: 275.3746 - logits_profile_predictions_loss: 271.5297 - logcount_predictions_loss: 0.3627 174/1081 [===>..........................] - ETA: 2:19 - loss: 275.3638 - logits_profile_predictions_loss: 271.5191 - logcount_predictions_loss: 0.3627 175/1081 [===>..........................] - ETA: 2:19 - loss: 275.3530 - logits_profile_predictions_loss: 271.5085 - logcount_predictions_loss: 0.3627 176/1081 [===>..........................] - ETA: 2:19 - loss: 275.3423 - logits_profile_predictions_loss: 271.4981 - logcount_predictions_loss: 0.3627 177/1081 [===>..........................] - ETA: 2:18 - loss: 275.3320 - logits_profile_predictions_loss: 271.4879 - logcount_predictions_loss: 0.3626 178/1081 [===>..........................] - ETA: 2:18 - loss: 275.3218 - logits_profile_predictions_loss: 271.4780 - logcount_predictions_loss: 0.3626 179/1081 [===>..........................] - ETA: 2:18 - loss: 275.3130 - logits_profile_predictions_loss: 271.4693 - logcount_predictions_loss: 0.3626 180/1081 [===>..........................] - ETA: 2:18 - loss: 275.3040 - logits_profile_predictions_loss: 271.4605 - logcount_predictions_loss: 0.3626 181/1081 [====>.........................] - ETA: 2:18 - loss: 275.2952 - logits_profile_predictions_loss: 271.4519 - logcount_predictions_loss: 0.3626 182/1081 [====>.........................] - ETA: 2:18 - loss: 275.2860 - logits_profile_predictions_loss: 271.4429 - logcount_predictions_loss: 0.3626 183/1081 [====>.........................] - ETA: 2:18 - loss: 275.2768 - logits_profile_predictions_loss: 271.4340 - logcount_predictions_loss: 0.3625 184/1081 [====>.........................] - ETA: 2:17 - loss: 275.2676 - logits_profile_predictions_loss: 271.4250 - logcount_predictions_loss: 0.3625 185/1081 [====>.........................] - ETA: 2:17 - loss: 275.2589 - logits_profile_predictions_loss: 271.4165 - logcount_predictions_loss: 0.3625 186/1081 [====>.........................] - ETA: 2:17 - loss: 275.2501 - logits_profile_predictions_loss: 271.4079 - logcount_predictions_loss: 0.3625 187/1081 [====>.........................] - ETA: 2:17 - loss: 275.2415 - logits_profile_predictions_loss: 271.3995 - logcount_predictions_loss: 0.3625 188/1081 [====>.........................] - ETA: 2:17 - loss: 275.2333 - logits_profile_predictions_loss: 271.3914 - logcount_predictions_loss: 0.3624 189/1081 [====>.........................] - ETA: 2:17 - loss: 275.2258 - logits_profile_predictions_loss: 271.3840 - logcount_predictions_loss: 0.3624 190/1081 [====>.........................] - ETA: 2:16 - loss: 275.2182 - logits_profile_predictions_loss: 271.3765 - logcount_predictions_loss: 0.3624 191/1081 [====>.........................] - ETA: 2:16 - loss: 275.2111 - logits_profile_predictions_loss: 271.3695 - logcount_predictions_loss: 0.3624 192/1081 [====>.........................] - ETA: 2:16 - loss: 275.2039 - logits_profile_predictions_loss: 271.3626 - logcount_predictions_loss: 0.3624 193/1081 [====>.........................] - ETA: 2:16 - loss: 275.1968 - logits_profile_predictions_loss: 271.3556 - logcount_predictions_loss: 0.3624 194/1081 [====>.........................] - ETA: 2:16 - loss: 275.1892 - logits_profile_predictions_loss: 271.3482 - logcount_predictions_loss: 0.3624 195/1081 [====>.........................] - ETA: 2:16 - loss: 275.1825 - logits_profile_predictions_loss: 271.3416 - logcount_predictions_loss: 0.3623 196/1081 [====>.........................] - ETA: 2:16 - loss: 275.1758 - logits_profile_predictions_loss: 271.3350 - logcount_predictions_loss: 0.3623 197/1081 [====>.........................] - ETA: 2:15 - loss: 275.1695 - logits_profile_predictions_loss: 271.3288 - logcount_predictions_loss: 0.3623 198/1081 [====>.........................] - ETA: 2:15 - loss: 275.1627 - logits_profile_predictions_loss: 271.3222 - logcount_predictions_loss: 0.3623 199/1081 [====>.........................] - ETA: 2:15 - loss: 275.1560 - logits_profile_predictions_loss: 271.3155 - logcount_predictions_loss: 0.3623 200/1081 [====>.........................] - ETA: 2:15 - loss: 275.1488 - logits_profile_predictions_loss: 271.3085 - logcount_predictions_loss: 0.3623 201/1081 [====>.........................] - ETA: 2:15 - loss: 275.1413 - logits_profile_predictions_loss: 271.3011 - logcount_predictions_loss: 0.3623 202/1081 [====>.........................] - ETA: 2:15 - loss: 275.1343 - logits_profile_predictions_loss: 271.2942 - logcount_predictions_loss: 0.3623 203/1081 [====>.........................] - ETA: 2:14 - loss: 275.1272 - logits_profile_predictions_loss: 271.2872 - logcount_predictions_loss: 0.3623 204/1081 [====>.........................] - ETA: 2:14 - loss: 275.1198 - logits_profile_predictions_loss: 271.2800 - logcount_predictions_loss: 0.3622 205/1081 [====>.........................] - ETA: 2:14 - loss: 275.1125 - logits_profile_predictions_loss: 271.2729 - logcount_predictions_loss: 0.3622 206/1081 [====>.........................] - ETA: 2:14 - loss: 275.1047 - logits_profile_predictions_loss: 271.2653 - logcount_predictions_loss: 0.3622 207/1081 [====>.........................] - ETA: 2:14 - loss: 275.0967 - logits_profile_predictions_loss: 271.2574 - logcount_predictions_loss: 0.3622 208/1081 [====>.........................] - ETA: 2:14 - loss: 275.0887 - logits_profile_predictions_loss: 271.2496 - logcount_predictions_loss: 0.3622 209/1081 [====>.........................] - ETA: 2:14 - loss: 275.0804 - logits_profile_predictions_loss: 271.2415 - logcount_predictions_loss: 0.3622 210/1081 [====>.........................] - ETA: 2:13 - loss: 275.0726 - logits_profile_predictions_loss: 271.2339 - logcount_predictions_loss: 0.3621 211/1081 [====>.........................] - ETA: 2:13 - loss: 275.0652 - logits_profile_predictions_loss: 271.2267 - logcount_predictions_loss: 0.3621 212/1081 [====>.........................] - ETA: 2:13 - loss: 275.0580 - logits_profile_predictions_loss: 271.2196 - logcount_predictions_loss: 0.3621 213/1081 [====>.........................] - ETA: 2:13 - loss: 275.0506 - logits_profile_predictions_loss: 271.2124 - logcount_predictions_loss: 0.3621 214/1081 [====>.........................] - ETA: 2:13 - loss: 275.0430 - logits_profile_predictions_loss: 271.2050 - logcount_predictions_loss: 0.3621 215/1081 [====>.........................] - ETA: 2:13 - loss: 275.0356 - logits_profile_predictions_loss: 271.1977 - logcount_predictions_loss: 0.3621 216/1081 [====>.........................] - ETA: 2:13 - loss: 275.0278 - logits_profile_predictions_loss: 271.1901 - logcount_predictions_loss: 0.3620 217/1081 [=====>........................] - ETA: 2:12 - loss: 275.0198 - logits_profile_predictions_loss: 271.1824 - logcount_predictions_loss: 0.3620 218/1081 [=====>........................] - ETA: 2:12 - loss: 275.0118 - logits_profile_predictions_loss: 271.1745 - logcount_predictions_loss: 0.3620 219/1081 [=====>........................] - ETA: 2:12 - loss: 275.0039 - logits_profile_predictions_loss: 271.1668 - logcount_predictions_loss: 0.3620 220/1081 [=====>........................] - ETA: 2:12 - loss: 274.9961 - logits_profile_predictions_loss: 271.1592 - logcount_predictions_loss: 0.3620 221/1081 [=====>........................] - ETA: 2:12 - loss: 274.9887 - logits_profile_predictions_loss: 271.1521 - logcount_predictions_loss: 0.3620 222/1081 [=====>........................] - ETA: 2:12 - loss: 274.9818 - logits_profile_predictions_loss: 271.1454 - logcount_predictions_loss: 0.3619 223/1081 [=====>........................] - ETA: 2:11 - loss: 274.9744 - logits_profile_predictions_loss: 271.1382 - logcount_predictions_loss: 0.3619 224/1081 [=====>........................] - ETA: 2:11 - loss: 274.9671 - logits_profile_predictions_loss: 271.1311 - logcount_predictions_loss: 0.3619 225/1081 [=====>........................] - ETA: 2:11 - loss: 274.9597 - logits_profile_predictions_loss: 271.1239 - logcount_predictions_loss: 0.3619 226/1081 [=====>........................] - ETA: 2:11 - loss: 274.9534 - logits_profile_predictions_loss: 271.1179 - logcount_predictions_loss: 0.3618 227/1081 [=====>........................] - ETA: 2:11 - loss: 274.9476 - logits_profile_predictions_loss: 271.1123 - logcount_predictions_loss: 0.3618 228/1081 [=====>........................] - ETA: 2:11 - loss: 274.9423 - logits_profile_predictions_loss: 271.1072 - logcount_predictions_loss: 0.3618 229/1081 [=====>........................] - ETA: 2:11 - loss: 274.9362 - logits_profile_predictions_loss: 271.1013 - logcount_predictions_loss: 0.3618 230/1081 [=====>........................] - ETA: 2:10 - loss: 274.9302 - logits_profile_predictions_loss: 271.0955 - logcount_predictions_loss: 0.3618 231/1081 [=====>........................] - ETA: 2:10 - loss: 274.9240 - logits_profile_predictions_loss: 271.0895 - logcount_predictions_loss: 0.3617 232/1081 [=====>........................] - ETA: 2:10 - loss: 274.9180 - logits_profile_predictions_loss: 271.0838 - logcount_predictions_loss: 0.3617 233/1081 [=====>........................] - ETA: 2:10 - loss: 274.9114 - logits_profile_predictions_loss: 271.0774 - logcount_predictions_loss: 0.3617 234/1081 [=====>........................] - ETA: 2:10 - loss: 274.9047 - logits_profile_predictions_loss: 271.0710 - logcount_predictions_loss: 0.3617 235/1081 [=====>........................] - ETA: 2:10 - loss: 274.8986 - logits_profile_predictions_loss: 271.0651 - logcount_predictions_loss: 0.3617 236/1081 [=====>........................] - ETA: 2:09 - loss: 274.8927 - logits_profile_predictions_loss: 271.0594 - logcount_predictions_loss: 0.3616 237/1081 [=====>........................] - ETA: 2:09 - loss: 274.8868 - logits_profile_predictions_loss: 271.0538 - logcount_predictions_loss: 0.3616 238/1081 [=====>........................] - ETA: 2:09 - loss: 274.8809 - logits_profile_predictions_loss: 271.0481 - logcount_predictions_loss: 0.3616 239/1081 [=====>........................] - ETA: 2:09 - loss: 274.8748 - logits_profile_predictions_loss: 271.0423 - logcount_predictions_loss: 0.3616 240/1081 [=====>........................] - ETA: 2:09 - loss: 274.8691 - logits_profile_predictions_loss: 271.0369 - logcount_predictions_loss: 0.3615 241/1081 [=====>........................] - ETA: 2:09 - loss: 274.8633 - logits_profile_predictions_loss: 271.0314 - logcount_predictions_loss: 0.3615 242/1081 [=====>........................] - ETA: 2:09 - loss: 274.8575 - logits_profile_predictions_loss: 271.0259 - logcount_predictions_loss: 0.3615 243/1081 [=====>........................] - ETA: 2:08 - loss: 274.8515 - logits_profile_predictions_loss: 271.0201 - logcount_predictions_loss: 0.3615 244/1081 [=====>........................] - ETA: 2:08 - loss: 274.8452 - logits_profile_predictions_loss: 271.0141 - logcount_predictions_loss: 0.3614 245/1081 [=====>........................] - ETA: 2:08 - loss: 274.8390 - logits_profile_predictions_loss: 271.0081 - logcount_predictions_loss: 0.3614 246/1081 [=====>........................] - ETA: 2:08 - loss: 274.8328 - logits_profile_predictions_loss: 271.0022 - logcount_predictions_loss: 0.3614 247/1081 [=====>........................] - ETA: 2:08 - loss: 274.8266 - logits_profile_predictions_loss: 270.9963 - logcount_predictions_loss: 0.3614 248/1081 [=====>........................] - ETA: 2:08 - loss: 274.8203 - logits_profile_predictions_loss: 270.9903 - logcount_predictions_loss: 0.3613 249/1081 [=====>........................] - ETA: 2:07 - loss: 274.8141 - logits_profile_predictions_loss: 270.9843 - logcount_predictions_loss: 0.3613 250/1081 [=====>........................] - ETA: 2:07 - loss: 274.8080 - logits_profile_predictions_loss: 270.9785 - logcount_predictions_loss: 0.3613 251/1081 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logits_profile_predictions_loss: 264.0393 - logcount_predictions_loss: 0.3331 32/1081 [..............................] - ETA: 2:40 - loss: 267.6761 - logits_profile_predictions_loss: 264.1459 - logcount_predictions_loss: 0.3330 33/1081 [..............................] - ETA: 2:40 - loss: 267.7973 - logits_profile_predictions_loss: 264.2679 - logcount_predictions_loss: 0.3330 34/1081 [..............................] - ETA: 2:40 - loss: 267.8961 - logits_profile_predictions_loss: 264.3674 - logcount_predictions_loss: 0.3329 35/1081 [..............................] - ETA: 2:40 - loss: 268.0035 - logits_profile_predictions_loss: 264.4758 - logcount_predictions_loss: 0.3328 36/1081 [..............................] - ETA: 2:40 - loss: 268.1250 - logits_profile_predictions_loss: 264.5978 - logcount_predictions_loss: 0.3328 37/1081 [>.............................] - ETA: 2:39 - loss: 268.2401 - logits_profile_predictions_loss: 264.7138 - logcount_predictions_loss: 0.3327 38/1081 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loss: 269.8033 - logits_profile_predictions_loss: 266.2695 - logcount_predictions_loss: 0.3334 52/1081 [>.............................] - ETA: 2:37 - loss: 269.8892 - logits_profile_predictions_loss: 266.3546 - logcount_predictions_loss: 0.3335 53/1081 [>.............................] - ETA: 2:37 - loss: 269.9618 - logits_profile_predictions_loss: 266.4267 - logcount_predictions_loss: 0.3335 54/1081 [>.............................] - ETA: 2:37 - loss: 270.0378 - logits_profile_predictions_loss: 266.5020 - logcount_predictions_loss: 0.3336 55/1081 [>.............................] - ETA: 2:37 - loss: 270.1113 - logits_profile_predictions_loss: 266.5751 - logcount_predictions_loss: 0.3336 56/1081 [>.............................] - ETA: 2:37 - loss: 270.1827 - logits_profile_predictions_loss: 266.6463 - logcount_predictions_loss: 0.3336 57/1081 [>.............................] - ETA: 2:36 - loss: 270.2469 - logits_profile_predictions_loss: 266.7106 - logcount_predictions_loss: 0.3336 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logits_profile_predictions_loss: 267.1516 - logcount_predictions_loss: 0.3335 65/1081 [>.............................] - ETA: 2:35 - loss: 270.7507 - logits_profile_predictions_loss: 267.2158 - logcount_predictions_loss: 0.3335 66/1081 [>.............................] - ETA: 2:35 - loss: 270.8187 - logits_profile_predictions_loss: 267.2837 - logcount_predictions_loss: 0.3335 67/1081 [>.............................] - ETA: 2:35 - loss: 270.8798 - logits_profile_predictions_loss: 267.3449 - logcount_predictions_loss: 0.3335 68/1081 [>.............................] - ETA: 2:35 - loss: 270.9431 - logits_profile_predictions_loss: 267.4080 - logcount_predictions_loss: 0.3335 69/1081 [>.............................] - ETA: 2:35 - loss: 271.0024 - logits_profile_predictions_loss: 267.4672 - logcount_predictions_loss: 0.3335 70/1081 [>.............................] - ETA: 2:34 - loss: 271.0580 - logits_profile_predictions_loss: 267.5227 - logcount_predictions_loss: 0.3335 71/1081 [>.............................] - ETA: 2:34 - loss: 271.1159 - logits_profile_predictions_loss: 267.5804 - logcount_predictions_loss: 0.3335 72/1081 [>.............................] - ETA: 2:34 - loss: 271.1703 - logits_profile_predictions_loss: 267.6347 - logcount_predictions_loss: 0.3335 73/1081 [=>............................] - ETA: 2:34 - loss: 271.2257 - logits_profile_predictions_loss: 267.6902 - logcount_predictions_loss: 0.3335 74/1081 [=>............................] - ETA: 2:34 - loss: 271.2811 - logits_profile_predictions_loss: 267.7458 - logcount_predictions_loss: 0.3335 75/1081 [=>............................] - ETA: 2:34 - loss: 271.3359 - logits_profile_predictions_loss: 267.8007 - logcount_predictions_loss: 0.3335 76/1081 [=>............................] - ETA: 2:34 - loss: 271.3927 - logits_profile_predictions_loss: 267.8579 - logcount_predictions_loss: 0.3335 77/1081 [=>............................] - ETA: 2:33 - loss: 271.4515 - logits_profile_predictions_loss: 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loss: 271.8276 - logits_profile_predictions_loss: 268.2941 - logcount_predictions_loss: 0.3334 85/1081 [=>............................] - ETA: 2:32 - loss: 271.8820 - logits_profile_predictions_loss: 268.3486 - logcount_predictions_loss: 0.3333 86/1081 [=>............................] - ETA: 2:32 - loss: 271.9347 - logits_profile_predictions_loss: 268.4014 - logcount_predictions_loss: 0.3333 87/1081 [=>............................] - ETA: 2:32 - loss: 271.9850 - logits_profile_predictions_loss: 268.4515 - logcount_predictions_loss: 0.3334 88/1081 [=>............................] - ETA: 2:32 - loss: 272.0371 - logits_profile_predictions_loss: 268.5033 - logcount_predictions_loss: 0.3334 89/1081 [=>............................] - ETA: 2:32 - loss: 272.0882 - logits_profile_predictions_loss: 268.5542 - logcount_predictions_loss: 0.3334 90/1081 [=>............................] - ETA: 2:31 - loss: 272.1392 - logits_profile_predictions_loss: 268.6049 - logcount_predictions_loss: 0.3334 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logits_profile_predictions_loss: 268.9422 - logcount_predictions_loss: 0.3335 98/1081 [=>............................] - ETA: 2:30 - loss: 272.5253 - logits_profile_predictions_loss: 268.9895 - logcount_predictions_loss: 0.3336 99/1081 [=>............................] - ETA: 2:30 - loss: 272.5691 - logits_profile_predictions_loss: 269.0329 - logcount_predictions_loss: 0.3336 100/1081 [=>............................] - ETA: 2:30 - loss: 272.6119 - logits_profile_predictions_loss: 269.0753 - logcount_predictions_loss: 0.3336 101/1081 [=>............................] - ETA: 2:30 - loss: 272.6538 - logits_profile_predictions_loss: 269.1169 - logcount_predictions_loss: 0.3337 102/1081 [=>............................] - ETA: 2:30 - loss: 272.6977 - logits_profile_predictions_loss: 269.1602 - logcount_predictions_loss: 0.3337 103/1081 [=>............................] - ETA: 2:29 - loss: 272.7423 - logits_profile_predictions_loss: 269.2041 - logcount_predictions_loss: 0.3338 104/1081 [=>............................] - ETA: 2:29 - loss: 272.7848 - logits_profile_predictions_loss: 269.2459 - logcount_predictions_loss: 0.3339 105/1081 [=>............................] - ETA: 2:29 - loss: 272.8252 - logits_profile_predictions_loss: 269.2857 - logcount_predictions_loss: 0.3339 106/1081 [=>............................] - ETA: 2:29 - loss: 272.8653 - logits_profile_predictions_loss: 269.3250 - logcount_predictions_loss: 0.3340 107/1081 [=>............................] - ETA: 2:29 - loss: 272.9043 - logits_profile_predictions_loss: 269.3633 - logcount_predictions_loss: 0.3341 108/1081 [=>............................] - ETA: 2:29 - loss: 272.9428 - logits_profile_predictions_loss: 269.4012 - logcount_predictions_loss: 0.3341 109/1081 [==>...........................] - ETA: 2:28 - loss: 272.9818 - logits_profile_predictions_loss: 269.4395 - logcount_predictions_loss: 0.3342 110/1081 [==>...........................] - ETA: 2:28 - loss: 273.0189 - logits_profile_predictions_loss: 269.4761 - logcount_predictions_loss: 0.3342 111/1081 [==>...........................] - ETA: 2:28 - loss: 273.0543 - logits_profile_predictions_loss: 269.5109 - logcount_predictions_loss: 0.3343 112/1081 [==>...........................] - ETA: 2:28 - loss: 273.0893 - logits_profile_predictions_loss: 269.5454 - logcount_predictions_loss: 0.3343 113/1081 [==>...........................] - ETA: 2:28 - loss: 273.1242 - logits_profile_predictions_loss: 269.5798 - logcount_predictions_loss: 0.3344 114/1081 [==>...........................] - ETA: 2:28 - loss: 273.1560 - logits_profile_predictions_loss: 269.6112 - logcount_predictions_loss: 0.3344 115/1081 [==>...........................] - ETA: 2:28 - loss: 273.1858 - logits_profile_predictions_loss: 269.6405 - logcount_predictions_loss: 0.3345 116/1081 [==>...........................] - ETA: 2:27 - loss: 273.2179 - logits_profile_predictions_loss: 269.6722 - logcount_predictions_loss: 0.3345 117/1081 [==>...........................] - ETA: 2:27 - loss: 273.2495 - logits_profile_predictions_loss: 269.7033 - logcount_predictions_loss: 0.3346 118/1081 [==>...........................] - ETA: 2:27 - loss: 273.2829 - logits_profile_predictions_loss: 269.7362 - logcount_predictions_loss: 0.3346 119/1081 [==>...........................] - ETA: 2:27 - loss: 273.3157 - logits_profile_predictions_loss: 269.7685 - logcount_predictions_loss: 0.3346 120/1081 [==>...........................] - ETA: 2:27 - loss: 273.3472 - logits_profile_predictions_loss: 269.7994 - logcount_predictions_loss: 0.3347 121/1081 [==>...........................] - ETA: 2:27 - loss: 273.3764 - logits_profile_predictions_loss: 269.8280 - logcount_predictions_loss: 0.3348 122/1081 [==>...........................] - ETA: 2:26 - loss: 273.4051 - logits_profile_predictions_loss: 269.8560 - logcount_predictions_loss: 0.3348 123/1081 [==>...........................] - ETA: 2:26 - loss: 273.4329 - logits_profile_predictions_loss: 269.8831 - logcount_predictions_loss: 0.3349 124/1081 [==>...........................] - ETA: 2:26 - loss: 273.4603 - logits_profile_predictions_loss: 269.9097 - logcount_predictions_loss: 0.3350 125/1081 [==>...........................] - ETA: 2:26 - loss: 273.4880 - logits_profile_predictions_loss: 269.9369 - logcount_predictions_loss: 0.3350 126/1081 [==>...........................] - ETA: 2:26 - loss: 273.5166 - logits_profile_predictions_loss: 269.9648 - logcount_predictions_loss: 0.3351 127/1081 [==>...........................] - ETA: 2:26 - loss: 273.5457 - logits_profile_predictions_loss: 269.9933 - logcount_predictions_loss: 0.3351 128/1081 [==>...........................] - ETA: 2:26 - loss: 273.5740 - logits_profile_predictions_loss: 270.0211 - logcount_predictions_loss: 0.3352 129/1081 [==>...........................] - ETA: 2:25 - loss: 273.5993 - logits_profile_predictions_loss: 270.0458 - logcount_predictions_loss: 0.3352 130/1081 [==>...........................] - ETA: 2:25 - loss: 273.6234 - logits_profile_predictions_loss: 270.0694 - logcount_predictions_loss: 0.3353 131/1081 [==>...........................] - ETA: 2:25 - loss: 273.6452 - logits_profile_predictions_loss: 270.0907 - logcount_predictions_loss: 0.3353 132/1081 [==>...........................] - ETA: 2:25 - loss: 273.6667 - logits_profile_predictions_loss: 270.1118 - logcount_predictions_loss: 0.3354 133/1081 [==>...........................] - ETA: 2:25 - loss: 273.6912 - logits_profile_predictions_loss: 270.1357 - logcount_predictions_loss: 0.3354 134/1081 [==>...........................] - ETA: 2:25 - loss: 273.7150 - logits_profile_predictions_loss: 270.1589 - logcount_predictions_loss: 0.3355 135/1081 [==>...........................] - ETA: 2:25 - loss: 273.7412 - logits_profile_predictions_loss: 270.1846 - logcount_predictions_loss: 0.3355 136/1081 [==>...........................] - ETA: 2:24 - loss: 273.7678 - 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[==>...........................] - ETA: 2:23 - loss: 273.9511 - logits_profile_predictions_loss: 270.3908 - logcount_predictions_loss: 0.3359 144/1081 [==>...........................] - ETA: 2:23 - loss: 273.9761 - logits_profile_predictions_loss: 270.4154 - logcount_predictions_loss: 0.3359 145/1081 [===>..........................] - ETA: 2:23 - loss: 273.9999 - logits_profile_predictions_loss: 270.4386 - logcount_predictions_loss: 0.3360 146/1081 [===>..........................] - ETA: 2:23 - loss: 274.0220 - logits_profile_predictions_loss: 270.4601 - logcount_predictions_loss: 0.3360 147/1081 [===>..........................] - ETA: 2:23 - loss: 274.0454 - logits_profile_predictions_loss: 270.4828 - logcount_predictions_loss: 0.3361 148/1081 [===>..........................] - ETA: 2:23 - loss: 274.0666 - logits_profile_predictions_loss: 270.5033 - logcount_predictions_loss: 0.3362 149/1081 [===>..........................] - ETA: 2:22 - loss: 274.0877 - 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[=====>........................] - ETA: 2:11 - loss: 275.0619 - logits_profile_predictions_loss: 271.4582 - logcount_predictions_loss: 0.3400 222/1081 [=====>........................] - ETA: 2:11 - loss: 275.0696 - logits_profile_predictions_loss: 271.4656 - logcount_predictions_loss: 0.3400 223/1081 [=====>........................] - ETA: 2:11 - loss: 275.0767 - logits_profile_predictions_loss: 271.4724 - logcount_predictions_loss: 0.3400 224/1081 [=====>........................] - ETA: 2:11 - loss: 275.0832 - logits_profile_predictions_loss: 271.4785 - logcount_predictions_loss: 0.3401 225/1081 [=====>........................] - ETA: 2:11 - loss: 275.0894 - logits_profile_predictions_loss: 271.4843 - logcount_predictions_loss: 0.3401 226/1081 [=====>........................] - ETA: 2:11 - loss: 275.0952 - logits_profile_predictions_loss: 271.4898 - logcount_predictions_loss: 0.3401 227/1081 [=====>........................] - ETA: 2:10 - loss: 275.1011 - 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[=====>........................] - ETA: 2:09 - loss: 275.1426 - logits_profile_predictions_loss: 271.5341 - logcount_predictions_loss: 0.3404 235/1081 [=====>........................] - ETA: 2:09 - loss: 275.1485 - logits_profile_predictions_loss: 271.5396 - logcount_predictions_loss: 0.3405 236/1081 [=====>........................] - ETA: 2:09 - loss: 275.1541 - logits_profile_predictions_loss: 271.5447 - logcount_predictions_loss: 0.3405 237/1081 [=====>........................] - ETA: 2:09 - loss: 275.1593 - logits_profile_predictions_loss: 271.5496 - logcount_predictions_loss: 0.3405 238/1081 [=====>........................] - ETA: 2:09 - loss: 275.1642 - logits_profile_predictions_loss: 271.5541 - logcount_predictions_loss: 0.3406 239/1081 [=====>........................] - ETA: 2:09 - loss: 275.1691 - logits_profile_predictions_loss: 271.5586 - logcount_predictions_loss: 0.3406 240/1081 [=====>........................] - ETA: 2:08 - loss: 275.1735 - 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[=====>........................] - ETA: 2:07 - loss: 275.2018 - logits_profile_predictions_loss: 271.5885 - logcount_predictions_loss: 0.3409 248/1081 [=====>........................] - ETA: 2:07 - loss: 275.2055 - logits_profile_predictions_loss: 271.5919 - logcount_predictions_loss: 0.3409 249/1081 [=====>........................] - ETA: 2:07 - loss: 275.2090 - logits_profile_predictions_loss: 271.5951 - logcount_predictions_loss: 0.3410 250/1081 [=====>........................] - ETA: 2:07 - loss: 275.2121 - logits_profile_predictions_loss: 271.5978 - logcount_predictions_loss: 0.3410 251/1081 [=====>........................] - ETA: 2:07 - loss: 275.2150 - logits_profile_predictions_loss: 271.6004 - logcount_predictions_loss: 0.3410 252/1081 [=====>........................] - ETA: 2:07 - loss: 275.2184 - logits_profile_predictions_loss: 271.6035 - logcount_predictions_loss: 0.3410 253/1081 [======>.......................] - ETA: 2:06 - loss: 275.2216 - 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logits_profile_predictions_loss: 268.3310 - logcount_predictions_loss: 0.3493 81/1081 [=>............................] - ETA: 2:34 - loss: 272.0332 - logits_profile_predictions_loss: 268.3305 - logcount_predictions_loss: 0.3493 82/1081 [=>............................] - ETA: 2:34 - loss: 272.0339 - logits_profile_predictions_loss: 268.3317 - logcount_predictions_loss: 0.3493 83/1081 [=>............................] - ETA: 2:33 - loss: 272.0378 - logits_profile_predictions_loss: 268.3360 - logcount_predictions_loss: 0.3492 84/1081 [=>............................] - ETA: 2:33 - loss: 272.0371 - logits_profile_predictions_loss: 268.3358 - logcount_predictions_loss: 0.3492 85/1081 [=>............................] - ETA: 2:33 - loss: 272.0354 - logits_profile_predictions_loss: 268.3344 - logcount_predictions_loss: 0.3492 86/1081 [=>............................] - ETA: 2:33 - loss: 272.0317 - logits_profile_predictions_loss: 268.3312 - logcount_predictions_loss: 0.3491 87/1081 [=>............................] - ETA: 2:33 - loss: 272.0279 - logits_profile_predictions_loss: 268.3278 - logcount_predictions_loss: 0.3491 88/1081 [=>............................] - ETA: 2:33 - loss: 272.0248 - logits_profile_predictions_loss: 268.3252 - logcount_predictions_loss: 0.3490 89/1081 [=>............................] - ETA: 2:32 - loss: 272.0221 - logits_profile_predictions_loss: 268.3229 - logcount_predictions_loss: 0.3490 90/1081 [=>............................] - ETA: 2:32 - loss: 272.0179 - logits_profile_predictions_loss: 268.3191 - logcount_predictions_loss: 0.3489 91/1081 [=>............................] - ETA: 2:32 - loss: 272.0134 - logits_profile_predictions_loss: 268.3149 - logcount_predictions_loss: 0.3489 92/1081 [=>............................] - ETA: 2:32 - loss: 272.0047 - logits_profile_predictions_loss: 268.3065 - logcount_predictions_loss: 0.3489 93/1081 [=>............................] - ETA: 2:32 - loss: 271.9938 - logits_profile_predictions_loss: 268.2961 - logcount_predictions_loss: 0.3488 94/1081 [=>............................] - ETA: 2:32 - loss: 271.9830 - logits_profile_predictions_loss: 268.2858 - logcount_predictions_loss: 0.3488 95/1081 [=>............................] - ETA: 2:32 - loss: 271.9740 - logits_profile_predictions_loss: 268.2773 - logcount_predictions_loss: 0.3487 96/1081 [=>............................] - ETA: 2:31 - loss: 271.9611 - logits_profile_predictions_loss: 268.2649 - logcount_predictions_loss: 0.3487 97/1081 [=>............................] - ETA: 2:31 - loss: 271.9515 - logits_profile_predictions_loss: 268.2558 - logcount_predictions_loss: 0.3487 98/1081 [=>............................] - ETA: 2:31 - loss: 271.9414 - logits_profile_predictions_loss: 268.2462 - logcount_predictions_loss: 0.3486 99/1081 [=>............................] - ETA: 2:31 - loss: 271.9279 - logits_profile_predictions_loss: 268.2333 - logcount_predictions_loss: 0.3486 100/1081 [=>............................] - ETA: 2:31 - loss: 271.9157 - logits_profile_predictions_loss: 268.2217 - logcount_predictions_loss: 0.3485 101/1081 [=>............................] - ETA: 2:31 - loss: 271.9052 - logits_profile_predictions_loss: 268.2117 - logcount_predictions_loss: 0.3484 102/1081 [=>............................] - ETA: 2:30 - loss: 271.8932 - logits_profile_predictions_loss: 268.2004 - logcount_predictions_loss: 0.3484 103/1081 [=>............................] - ETA: 2:30 - loss: 271.8840 - logits_profile_predictions_loss: 268.1918 - logcount_predictions_loss: 0.3483 104/1081 [=>............................] - ETA: 2:30 - loss: 271.8728 - logits_profile_predictions_loss: 268.1814 - logcount_predictions_loss: 0.3483 105/1081 [=>............................] - ETA: 2:30 - loss: 271.8617 - logits_profile_predictions_loss: 268.1710 - logcount_predictions_loss: 0.3482 106/1081 [=>............................] - ETA: 2:30 - loss: 271.8498 - logits_profile_predictions_loss: 268.1600 - logcount_predictions_loss: 0.3481 107/1081 [=>............................] - ETA: 2:30 - loss: 271.8389 - logits_profile_predictions_loss: 268.1499 - logcount_predictions_loss: 0.3480 108/1081 [=>............................] - ETA: 2:30 - loss: 271.8261 - logits_profile_predictions_loss: 268.1378 - logcount_predictions_loss: 0.3479 109/1081 [==>...........................] - ETA: 2:29 - loss: 271.8139 - logits_profile_predictions_loss: 268.1264 - logcount_predictions_loss: 0.3479 110/1081 [==>...........................] - ETA: 2:29 - loss: 271.8024 - logits_profile_predictions_loss: 268.1157 - logcount_predictions_loss: 0.3478 111/1081 [==>...........................] - ETA: 2:29 - loss: 271.7904 - logits_profile_predictions_loss: 268.1045 - logcount_predictions_loss: 0.3477 112/1081 [==>...........................] - ETA: 2:29 - loss: 271.7783 - logits_profile_predictions_loss: 268.0932 - logcount_predictions_loss: 0.3477 113/1081 [==>...........................] - ETA: 2:29 - loss: 271.7688 - logits_profile_predictions_loss: 268.0846 - logcount_predictions_loss: 0.3476 114/1081 [==>...........................] - ETA: 2:29 - loss: 271.7597 - logits_profile_predictions_loss: 268.0764 - logcount_predictions_loss: 0.3475 115/1081 [==>...........................] - ETA: 2:28 - loss: 271.7507 - logits_profile_predictions_loss: 268.0682 - logcount_predictions_loss: 0.3474 116/1081 [==>...........................] - ETA: 2:28 - loss: 271.7451 - logits_profile_predictions_loss: 268.0634 - logcount_predictions_loss: 0.3473 117/1081 [==>...........................] - ETA: 2:28 - loss: 271.7393 - logits_profile_predictions_loss: 268.0584 - logcount_predictions_loss: 0.3473 118/1081 [==>...........................] - ETA: 2:28 - loss: 271.7354 - logits_profile_predictions_loss: 268.0553 - logcount_predictions_loss: 0.3472 119/1081 [==>...........................] - ETA: 2:28 - loss: 271.7311 - logits_profile_predictions_loss: 268.0518 - logcount_predictions_loss: 0.3471 120/1081 [==>...........................] - ETA: 2:28 - loss: 271.7266 - logits_profile_predictions_loss: 268.0480 - logcount_predictions_loss: 0.3470 121/1081 [==>...........................] - ETA: 2:27 - loss: 271.7218 - logits_profile_predictions_loss: 268.0439 - logcount_predictions_loss: 0.3470 122/1081 [==>...........................] - ETA: 2:27 - loss: 271.7179 - logits_profile_predictions_loss: 268.0408 - logcount_predictions_loss: 0.3469 123/1081 [==>...........................] - ETA: 2:27 - loss: 271.7139 - logits_profile_predictions_loss: 268.0376 - logcount_predictions_loss: 0.3468 124/1081 [==>...........................] - ETA: 2:27 - loss: 271.7112 - logits_profile_predictions_loss: 268.0356 - logcount_predictions_loss: 0.3468 125/1081 [==>...........................] - ETA: 2:27 - loss: 271.7083 - logits_profile_predictions_loss: 268.0335 - logcount_predictions_loss: 0.3467 126/1081 [==>...........................] - ETA: 2:27 - loss: 271.7061 - logits_profile_predictions_loss: 268.0319 - logcount_predictions_loss: 0.3466 127/1081 [==>...........................] - ETA: 2:27 - loss: 271.7026 - logits_profile_predictions_loss: 268.0291 - logcount_predictions_loss: 0.3466 128/1081 [==>...........................] - ETA: 2:26 - loss: 271.6980 - logits_profile_predictions_loss: 268.0251 - logcount_predictions_loss: 0.3465 129/1081 [==>...........................] - ETA: 2:26 - loss: 271.6941 - logits_profile_predictions_loss: 268.0218 - logcount_predictions_loss: 0.3464 130/1081 [==>...........................] - ETA: 2:26 - loss: 271.6895 - logits_profile_predictions_loss: 268.0178 - logcount_predictions_loss: 0.3464 131/1081 [==>...........................] - ETA: 2:26 - loss: 271.6864 - logits_profile_predictions_loss: 268.0153 - logcount_predictions_loss: 0.3463 132/1081 [==>...........................] - ETA: 2:26 - loss: 271.6839 - logits_profile_predictions_loss: 268.0133 - logcount_predictions_loss: 0.3463 133/1081 [==>...........................] - ETA: 2:26 - loss: 271.6806 - logits_profile_predictions_loss: 268.0104 - logcount_predictions_loss: 0.3462 134/1081 [==>...........................] - ETA: 2:25 - loss: 271.6772 - logits_profile_predictions_loss: 268.0075 - logcount_predictions_loss: 0.3462 135/1081 [==>...........................] - ETA: 2:25 - loss: 271.6757 - logits_profile_predictions_loss: 268.0065 - logcount_predictions_loss: 0.3462 136/1081 [==>...........................] - ETA: 2:25 - loss: 271.6751 - logits_profile_predictions_loss: 268.0064 - logcount_predictions_loss: 0.3461 137/1081 [==>...........................] - ETA: 2:25 - loss: 271.6741 - logits_profile_predictions_loss: 268.0059 - logcount_predictions_loss: 0.3461 138/1081 [==>...........................] - ETA: 2:25 - loss: 271.6722 - logits_profile_predictions_loss: 268.0045 - logcount_predictions_loss: 0.3460 139/1081 [==>...........................] - ETA: 2:25 - loss: 271.6685 - logits_profile_predictions_loss: 268.0013 - logcount_predictions_loss: 0.3460 140/1081 [==>...........................] - ETA: 2:25 - loss: 271.6658 - logits_profile_predictions_loss: 267.9989 - logcount_predictions_loss: 0.3459 141/1081 [==>...........................] - ETA: 2:24 - loss: 271.6621 - logits_profile_predictions_loss: 267.9956 - logcount_predictions_loss: 0.3459 142/1081 [==>...........................] - ETA: 2:24 - loss: 271.6582 - logits_profile_predictions_loss: 267.9920 - logcount_predictions_loss: 0.3459 143/1081 [==>...........................] - ETA: 2:24 - loss: 271.6539 - logits_profile_predictions_loss: 267.9881 - logcount_predictions_loss: 0.3458 144/1081 [==>...........................] - ETA: 2:24 - loss: 271.6504 - logits_profile_predictions_loss: 267.9849 - logcount_predictions_loss: 0.3458 145/1081 [===>..........................] - ETA: 2:24 - loss: 271.6481 - logits_profile_predictions_loss: 267.9830 - logcount_predictions_loss: 0.3458 146/1081 [===>..........................] - ETA: 2:24 - loss: 271.6447 - logits_profile_predictions_loss: 267.9800 - logcount_predictions_loss: 0.3457 147/1081 [===>..........................] - ETA: 2:23 - loss: 271.6415 - logits_profile_predictions_loss: 267.9772 - logcount_predictions_loss: 0.3457 148/1081 [===>..........................] - ETA: 2:23 - loss: 271.6388 - logits_profile_predictions_loss: 267.9747 - logcount_predictions_loss: 0.3457 149/1081 [===>..........................] - ETA: 2:23 - loss: 271.6372 - logits_profile_predictions_loss: 267.9734 - logcount_predictions_loss: 0.3456 150/1081 [===>..........................] - ETA: 2:23 - loss: 271.6339 - logits_profile_predictions_loss: 267.9704 - logcount_predictions_loss: 0.3456 151/1081 [===>..........................] - ETA: 2:23 - loss: 271.6310 - logits_profile_predictions_loss: 267.9678 - logcount_predictions_loss: 0.3456 152/1081 [===>..........................] - ETA: 2:23 - loss: 271.6288 - logits_profile_predictions_loss: 267.9659 - logcount_predictions_loss: 0.3456 153/1081 [===>..........................] - ETA: 2:23 - loss: 271.6270 - logits_profile_predictions_loss: 267.9644 - logcount_predictions_loss: 0.3455 154/1081 [===>..........................] - ETA: 2:22 - loss: 271.6253 - logits_profile_predictions_loss: 267.9631 - logcount_predictions_loss: 0.3455 155/1081 [===>..........................] - ETA: 2:22 - loss: 271.6241 - logits_profile_predictions_loss: 267.9621 - logcount_predictions_loss: 0.3455 156/1081 [===>..........................] - ETA: 2:22 - loss: 271.6222 - logits_profile_predictions_loss: 267.9606 - logcount_predictions_loss: 0.3454 157/1081 [===>..........................] - ETA: 2:22 - loss: 271.6194 - logits_profile_predictions_loss: 267.9581 - logcount_predictions_loss: 0.3454 158/1081 [===>..........................] - ETA: 2:22 - loss: 271.6162 - logits_profile_predictions_loss: 267.9552 - logcount_predictions_loss: 0.3454 159/1081 [===>..........................] - ETA: 2:22 - loss: 271.6117 - logits_profile_predictions_loss: 267.9510 - logcount_predictions_loss: 0.3454 160/1081 [===>..........................] - ETA: 2:21 - loss: 271.6069 - logits_profile_predictions_loss: 267.9465 - logcount_predictions_loss: 0.3453 161/1081 [===>..........................] - ETA: 2:21 - loss: 271.6029 - logits_profile_predictions_loss: 267.9427 - logcount_predictions_loss: 0.3453 162/1081 [===>..........................] - ETA: 2:21 - loss: 271.5993 - logits_profile_predictions_loss: 267.9393 - logcount_predictions_loss: 0.3453 163/1081 [===>..........................] - ETA: 2:21 - loss: 271.5960 - logits_profile_predictions_loss: 267.9362 - logcount_predictions_loss: 0.3453 164/1081 [===>..........................] - ETA: 2:21 - loss: 271.5920 - logits_profile_predictions_loss: 267.9324 - logcount_predictions_loss: 0.3453 165/1081 [===>..........................] - ETA: 2:21 - loss: 271.5877 - logits_profile_predictions_loss: 267.9283 - logcount_predictions_loss: 0.3452 166/1081 [===>..........................] - ETA: 2:21 - loss: 271.5833 - logits_profile_predictions_loss: 267.9241 - logcount_predictions_loss: 0.3452 167/1081 [===>..........................] - ETA: 2:20 - loss: 271.5786 - logits_profile_predictions_loss: 267.9196 - logcount_predictions_loss: 0.3452 168/1081 [===>..........................] - ETA: 2:20 - loss: 271.5742 - logits_profile_predictions_loss: 267.9153 - logcount_predictions_loss: 0.3452 169/1081 [===>..........................] - ETA: 2:20 - loss: 271.5709 - logits_profile_predictions_loss: 267.9122 - logcount_predictions_loss: 0.3452 170/1081 [===>..........................] - ETA: 2:20 - loss: 271.5676 - logits_profile_predictions_loss: 267.9090 - logcount_predictions_loss: 0.3451 171/1081 [===>..........................] - ETA: 2:20 - loss: 271.5650 - logits_profile_predictions_loss: 267.9067 - logcount_predictions_loss: 0.3451 172/1081 [===>..........................] - ETA: 2:20 - loss: 271.5624 - logits_profile_predictions_loss: 267.9042 - logcount_predictions_loss: 0.3451 173/1081 [===>..........................] - ETA: 2:20 - loss: 271.5602 - logits_profile_predictions_loss: 267.9021 - logcount_predictions_loss: 0.3451 174/1081 [===>..........................] - ETA: 2:19 - loss: 271.5576 - logits_profile_predictions_loss: 267.8997 - logcount_predictions_loss: 0.3451 175/1081 [===>..........................] - ETA: 2:19 - loss: 271.5552 - logits_profile_predictions_loss: 267.8974 - logcount_predictions_loss: 0.3451 176/1081 [===>..........................] - ETA: 2:19 - loss: 271.5524 - logits_profile_predictions_loss: 267.8947 - logcount_predictions_loss: 0.3451 177/1081 [===>..........................] - ETA: 2:19 - loss: 271.5499 - logits_profile_predictions_loss: 267.8924 - logcount_predictions_loss: 0.3451 178/1081 [===>..........................] - ETA: 2:19 - loss: 271.5476 - logits_profile_predictions_loss: 267.8901 - logcount_predictions_loss: 0.3451 179/1081 [===>..........................] - ETA: 2:19 - loss: 271.5445 - logits_profile_predictions_loss: 267.8871 - logcount_predictions_loss: 0.3450 180/1081 [===>..........................] - ETA: 2:18 - loss: 271.5422 - logits_profile_predictions_loss: 267.8849 - logcount_predictions_loss: 0.3450 181/1081 [====>.........................] - ETA: 2:18 - loss: 271.5397 - logits_profile_predictions_loss: 267.8826 - logcount_predictions_loss: 0.3450 182/1081 [====>.........................] - ETA: 2:18 - loss: 271.5378 - logits_profile_predictions_loss: 267.8808 - logcount_predictions_loss: 0.3450 183/1081 [====>.........................] - ETA: 2:18 - loss: 271.5359 - logits_profile_predictions_loss: 267.8790 - logcount_predictions_loss: 0.3450 184/1081 [====>.........................] - ETA: 2:18 - loss: 271.5342 - logits_profile_predictions_loss: 267.8774 - logcount_predictions_loss: 0.3450 185/1081 [====>.........................] - ETA: 2:18 - loss: 271.5322 - logits_profile_predictions_loss: 267.8755 - logcount_predictions_loss: 0.3450 186/1081 [====>.........................] - ETA: 2:18 - loss: 271.5304 - logits_profile_predictions_loss: 267.8738 - logcount_predictions_loss: 0.3450 187/1081 [====>.........................] - ETA: 2:17 - loss: 271.5292 - logits_profile_predictions_loss: 267.8727 - logcount_predictions_loss: 0.3450 188/1081 [====>.........................] - ETA: 2:17 - loss: 271.5277 - logits_profile_predictions_loss: 267.8714 - logcount_predictions_loss: 0.3449 189/1081 [====>.........................] - ETA: 2:17 - loss: 271.5265 - logits_profile_predictions_loss: 267.8704 - logcount_predictions_loss: 0.3449 190/1081 [====>.........................] - ETA: 2:17 - loss: 271.5253 - logits_profile_predictions_loss: 267.8694 - logcount_predictions_loss: 0.3449 191/1081 [====>.........................] - ETA: 2:17 - loss: 271.5236 - logits_profile_predictions_loss: 267.8678 - logcount_predictions_loss: 0.3449 192/1081 [====>.........................] - ETA: 2:17 - loss: 271.5212 - logits_profile_predictions_loss: 267.8655 - logcount_predictions_loss: 0.3449 193/1081 [====>.........................] - ETA: 2:16 - loss: 271.5194 - logits_profile_predictions_loss: 267.8640 - logcount_predictions_loss: 0.3449 194/1081 [====>.........................] - ETA: 2:16 - loss: 271.5176 - logits_profile_predictions_loss: 267.8624 - logcount_predictions_loss: 0.3448 195/1081 [====>.........................] - ETA: 2:16 - loss: 271.5162 - logits_profile_predictions_loss: 267.8612 - logcount_predictions_loss: 0.3448 196/1081 [====>.........................] - ETA: 2:16 - loss: 271.5147 - logits_profile_predictions_loss: 267.8599 - logcount_predictions_loss: 0.3448 197/1081 [====>.........................] - ETA: 2:16 - loss: 271.5129 - logits_profile_predictions_loss: 267.8583 - logcount_predictions_loss: 0.3448 198/1081 [====>.........................] - ETA: 2:16 - loss: 271.5115 - logits_profile_predictions_loss: 267.8572 - logcount_predictions_loss: 0.3448 199/1081 [====>.........................] - ETA: 2:16 - loss: 271.5105 - logits_profile_predictions_loss: 267.8563 - logcount_predictions_loss: 0.3447 200/1081 [====>.........................] - ETA: 2:15 - loss: 271.5098 - logits_profile_predictions_loss: 267.8559 - logcount_predictions_loss: 0.3447 201/1081 [====>.........................] - ETA: 2:15 - loss: 271.5096 - logits_profile_predictions_loss: 267.8559 - logcount_predictions_loss: 0.3447 202/1081 [====>.........................] - ETA: 2:15 - loss: 271.5092 - logits_profile_predictions_loss: 267.8557 - logcount_predictions_loss: 0.3447 203/1081 [====>.........................] - ETA: 2:15 - loss: 271.5089 - logits_profile_predictions_loss: 267.8557 - logcount_predictions_loss: 0.3447 204/1081 [====>.........................] - ETA: 2:15 - loss: 271.5090 - 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logits_profile_predictions_loss: 268.4120 - logcount_predictions_loss: 0.3402 1081/1081 [==============================] - 174s 161ms/step - loss: 272.0178 - logits_profile_predictions_loss: 268.4121 - logcount_predictions_loss: 0.3402 - val_loss: 281.8504 - val_logits_profile_predictions_loss: 278.3852 - val_logcount_predictions_loss: 0.3269 + +Epoch 00006: val_loss improved from 282.21521 to 281.85043, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15/chrombpnet.h5 +Epoch 7/50 + 1/1081 [..............................] - ETA: 3:23 - loss: 270.9874 - logits_profile_predictions_loss: 267.8613 - logcount_predictions_loss: 0.2949 2/1081 [..............................] - ETA: 2:46 - loss: 277.4064 - logits_profile_predictions_loss: 274.4210 - logcount_predictions_loss: 0.2816 3/1081 [..............................] - ETA: 2:46 - loss: 280.0795 - logits_profile_predictions_loss: 277.1770 - logcount_predictions_loss: 0.2738 4/1081 [..............................] - ETA: 2:46 - loss: 279.4675 - logits_profile_predictions_loss: 276.5817 - logcount_predictions_loss: 0.2722 5/1081 [..............................] - ETA: 2:46 - loss: 279.5520 - logits_profile_predictions_loss: 276.6341 - logcount_predictions_loss: 0.2753 6/1081 [..............................] - ETA: 2:45 - loss: 278.9739 - logits_profile_predictions_loss: 276.0170 - logcount_predictions_loss: 0.2789 7/1081 [..............................] - ETA: 2:45 - loss: 278.1451 - logits_profile_predictions_loss: 275.1378 - logcount_predictions_loss: 0.2837 8/1081 [..............................] - ETA: 2:45 - loss: 277.3718 - logits_profile_predictions_loss: 274.3358 - logcount_predictions_loss: 0.2864 9/1081 [..............................] - ETA: 2:45 - loss: 276.5527 - logits_profile_predictions_loss: 273.4953 - logcount_predictions_loss: 0.2884 10/1081 [..............................] - ETA: 2:45 - loss: 276.2009 - logits_profile_predictions_loss: 273.1124 - logcount_predictions_loss: 0.2914 11/1081 [..............................] - ETA: 2:45 - loss: 276.0031 - logits_profile_predictions_loss: 272.8954 - logcount_predictions_loss: 0.2932 12/1081 [..............................] - ETA: 2:45 - loss: 275.8915 - logits_profile_predictions_loss: 272.7631 - logcount_predictions_loss: 0.2951 13/1081 [..............................] - ETA: 2:44 - loss: 275.8309 - logits_profile_predictions_loss: 272.6832 - logcount_predictions_loss: 0.2969 14/1081 [..............................] - ETA: 2:44 - loss: 275.8163 - logits_profile_predictions_loss: 272.6567 - logcount_predictions_loss: 0.2981 15/1081 [..............................] - ETA: 2:44 - loss: 275.6105 - logits_profile_predictions_loss: 272.4400 - logcount_predictions_loss: 0.2991 16/1081 [..............................] - ETA: 2:44 - loss: 275.4320 - logits_profile_predictions_loss: 272.2521 - logcount_predictions_loss: 0.3000 17/1081 [..............................] - ETA: 2:44 - loss: 275.1978 - logits_profile_predictions_loss: 272.0068 - logcount_predictions_loss: 0.3010 18/1081 [..............................] - ETA: 2:44 - loss: 274.9876 - logits_profile_predictions_loss: 271.7859 - logcount_predictions_loss: 0.3020 19/1081 [..............................] - ETA: 2:43 - loss: 274.7210 - logits_profile_predictions_loss: 271.5130 - logcount_predictions_loss: 0.3026 20/1081 [..............................] - ETA: 2:43 - loss: 274.4453 - logits_profile_predictions_loss: 271.2305 - logcount_predictions_loss: 0.3033 21/1081 [..............................] - ETA: 2:43 - loss: 274.2277 - logits_profile_predictions_loss: 271.0074 - logcount_predictions_loss: 0.3038 22/1081 [..............................] - ETA: 2:43 - loss: 274.0551 - logits_profile_predictions_loss: 270.8279 - logcount_predictions_loss: 0.3045 23/1081 [..............................] - ETA: 2:43 - loss: 273.9098 - logits_profile_predictions_loss: 270.6744 - logcount_predictions_loss: 0.3052 24/1081 [..............................] - ETA: 2:42 - loss: 273.7348 - logits_profile_predictions_loss: 270.4907 - logcount_predictions_loss: 0.3060 25/1081 [..............................] - ETA: 2:42 - loss: 273.6304 - logits_profile_predictions_loss: 270.3766 - logcount_predictions_loss: 0.3070 26/1081 [..............................] - ETA: 2:42 - loss: 273.5080 - logits_profile_predictions_loss: 270.2455 - logcount_predictions_loss: 0.3078 27/1081 [..............................] - ETA: 2:42 - loss: 273.3892 - logits_profile_predictions_loss: 270.1182 - logcount_predictions_loss: 0.3086 28/1081 [..............................] - ETA: 2:42 - loss: 273.2575 - logits_profile_predictions_loss: 269.9792 - logcount_predictions_loss: 0.3093 29/1081 [..............................] - ETA: 2:42 - loss: 273.1715 - logits_profile_predictions_loss: 269.8859 - logcount_predictions_loss: 0.3100 30/1081 [..............................] - ETA: 2:41 - loss: 273.1005 - logits_profile_predictions_loss: 269.8091 - logcount_predictions_loss: 0.3105 31/1081 [..............................] - ETA: 2:41 - loss: 273.0236 - logits_profile_predictions_loss: 269.7258 - logcount_predictions_loss: 0.3111 32/1081 [..............................] - ETA: 2:41 - loss: 272.9820 - logits_profile_predictions_loss: 269.6777 - logcount_predictions_loss: 0.3117 33/1081 [..............................] - ETA: 2:41 - loss: 272.9436 - logits_profile_predictions_loss: 269.6338 - logcount_predictions_loss: 0.3122 34/1081 [..............................] - ETA: 2:41 - loss: 272.9150 - logits_profile_predictions_loss: 269.5991 - logcount_predictions_loss: 0.3128 35/1081 [..............................] - ETA: 2:41 - loss: 272.8921 - logits_profile_predictions_loss: 269.5691 - logcount_predictions_loss: 0.3135 36/1081 [..............................] - ETA: 2:41 - loss: 272.8837 - logits_profile_predictions_loss: 269.5533 - logcount_predictions_loss: 0.3142 37/1081 [>.............................] - ETA: 2:40 - loss: 272.8634 - logits_profile_predictions_loss: 269.5257 - logcount_predictions_loss: 0.3149 38/1081 [>.............................] - ETA: 2:40 - loss: 272.8429 - logits_profile_predictions_loss: 269.4986 - logcount_predictions_loss: 0.3155 39/1081 [>.............................] - ETA: 2:40 - loss: 272.8103 - logits_profile_predictions_loss: 269.4599 - logcount_predictions_loss: 0.3161 40/1081 [>.............................] - ETA: 2:40 - loss: 272.7720 - logits_profile_predictions_loss: 269.4156 - logcount_predictions_loss: 0.3166 41/1081 [>.............................] - ETA: 2:40 - loss: 272.7450 - logits_profile_predictions_loss: 269.3826 - logcount_predictions_loss: 0.3172 42/1081 [>.............................] - ETA: 2:40 - loss: 272.7286 - logits_profile_predictions_loss: 269.3605 - logcount_predictions_loss: 0.3177 43/1081 [>.............................] - ETA: 2:39 - loss: 272.7031 - logits_profile_predictions_loss: 269.3296 - logcount_predictions_loss: 0.3183 44/1081 [>.............................] - ETA: 2:39 - loss: 272.6772 - logits_profile_predictions_loss: 269.2986 - logcount_predictions_loss: 0.3187 45/1081 [>.............................] - ETA: 2:39 - loss: 272.6465 - logits_profile_predictions_loss: 269.2631 - logcount_predictions_loss: 0.3192 46/1081 [>.............................] - ETA: 2:39 - loss: 272.6220 - logits_profile_predictions_loss: 269.2337 - logcount_predictions_loss: 0.3196 47/1081 [>.............................] - ETA: 2:39 - loss: 272.5943 - logits_profile_predictions_loss: 269.2014 - logcount_predictions_loss: 0.3201 48/1081 [>.............................] - ETA: 2:39 - loss: 272.5777 - logits_profile_predictions_loss: 269.1798 - logcount_predictions_loss: 0.3206 49/1081 [>.............................] - ETA: 2:39 - loss: 272.5440 - logits_profile_predictions_loss: 269.1419 - logcount_predictions_loss: 0.3210 50/1081 [>.............................] - ETA: 2:38 - loss: 272.5063 - logits_profile_predictions_loss: 269.1001 - logcount_predictions_loss: 0.3213 51/1081 [>.............................] - ETA: 2:38 - loss: 272.4820 - logits_profile_predictions_loss: 269.0717 - logcount_predictions_loss: 0.3217 52/1081 [>.............................] - ETA: 2:38 - loss: 272.4533 - logits_profile_predictions_loss: 269.0388 - logcount_predictions_loss: 0.3221 53/1081 [>.............................] - ETA: 2:38 - loss: 272.4494 - logits_profile_predictions_loss: 269.0308 - logcount_predictions_loss: 0.3225 54/1081 [>.............................] - ETA: 2:38 - loss: 272.4386 - logits_profile_predictions_loss: 269.0162 - logcount_predictions_loss: 0.3229 55/1081 [>.............................] - ETA: 2:38 - loss: 272.4223 - logits_profile_predictions_loss: 268.9964 - logcount_predictions_loss: 0.3232 56/1081 [>.............................] - ETA: 2:38 - loss: 272.4193 - logits_profile_predictions_loss: 268.9901 - logcount_predictions_loss: 0.3235 57/1081 [>.............................] - ETA: 2:37 - loss: 272.4135 - logits_profile_predictions_loss: 268.9809 - logcount_predictions_loss: 0.3238 58/1081 [>.............................] - ETA: 2:37 - loss: 272.4090 - logits_profile_predictions_loss: 268.9733 - logcount_predictions_loss: 0.3241 59/1081 [>.............................] - ETA: 2:37 - loss: 272.4019 - logits_profile_predictions_loss: 268.9632 - logcount_predictions_loss: 0.3244 60/1081 [>.............................] - ETA: 2:37 - loss: 272.3988 - logits_profile_predictions_loss: 268.9572 - logcount_predictions_loss: 0.3247 61/1081 [>.............................] - ETA: 2:37 - loss: 272.3966 - logits_profile_predictions_loss: 268.9522 - logcount_predictions_loss: 0.3249 62/1081 [>.............................] - ETA: 2:37 - loss: 272.4012 - logits_profile_predictions_loss: 268.9542 - logcount_predictions_loss: 0.3252 63/1081 [>.............................] - ETA: 2:36 - loss: 272.4027 - logits_profile_predictions_loss: 268.9532 - logcount_predictions_loss: 0.3254 64/1081 [>.............................] - ETA: 2:36 - loss: 272.4057 - logits_profile_predictions_loss: 268.9541 - logcount_predictions_loss: 0.3256 65/1081 [>.............................] - ETA: 2:36 - loss: 272.4115 - logits_profile_predictions_loss: 268.9577 - logcount_predictions_loss: 0.3258 66/1081 [>.............................] - ETA: 2:36 - loss: 272.4231 - logits_profile_predictions_loss: 268.9672 - logcount_predictions_loss: 0.3260 67/1081 [>.............................] - ETA: 2:36 - loss: 272.4351 - logits_profile_predictions_loss: 268.9773 - logcount_predictions_loss: 0.3262 68/1081 [>.............................] - ETA: 2:36 - loss: 272.4412 - logits_profile_predictions_loss: 268.9815 - logcount_predictions_loss: 0.3264 69/1081 [>.............................] - ETA: 2:36 - loss: 272.4452 - logits_profile_predictions_loss: 268.9833 - logcount_predictions_loss: 0.3266 70/1081 [>.............................] - ETA: 2:35 - loss: 272.4481 - logits_profile_predictions_loss: 268.9841 - logcount_predictions_loss: 0.3268 71/1081 [>.............................] - ETA: 2:35 - loss: 272.4532 - logits_profile_predictions_loss: 268.9871 - logcount_predictions_loss: 0.3270 72/1081 [>.............................] - ETA: 2:35 - loss: 272.4602 - logits_profile_predictions_loss: 268.9920 - logcount_predictions_loss: 0.3272 73/1081 [=>............................] - ETA: 2:35 - loss: 272.4709 - logits_profile_predictions_loss: 269.0006 - logcount_predictions_loss: 0.3274 74/1081 [=>............................] - ETA: 2:35 - loss: 272.4776 - logits_profile_predictions_loss: 269.0050 - logcount_predictions_loss: 0.3276 75/1081 [=>............................] - ETA: 2:35 - loss: 272.4823 - logits_profile_predictions_loss: 269.0076 - logcount_predictions_loss: 0.3278 76/1081 [=>............................] - ETA: 2:34 - loss: 272.4835 - logits_profile_predictions_loss: 269.0066 - logcount_predictions_loss: 0.3280 77/1081 [=>............................] - ETA: 2:34 - loss: 272.4839 - logits_profile_predictions_loss: 269.0048 - logcount_predictions_loss: 0.3282 78/1081 [=>............................] - ETA: 2:34 - loss: 272.4856 - logits_profile_predictions_loss: 269.0045 - logcount_predictions_loss: 0.3284 79/1081 [=>............................] - ETA: 2:34 - loss: 272.4854 - logits_profile_predictions_loss: 269.0024 - logcount_predictions_loss: 0.3286 80/1081 [=>............................] - ETA: 2:34 - loss: 272.4864 - logits_profile_predictions_loss: 269.0015 - logcount_predictions_loss: 0.3288 81/1081 [=>............................] - ETA: 2:34 - loss: 272.4853 - logits_profile_predictions_loss: 268.9985 - logcount_predictions_loss: 0.3289 82/1081 [=>............................] - ETA: 2:33 - loss: 272.4884 - logits_profile_predictions_loss: 268.9999 - logcount_predictions_loss: 0.3291 83/1081 [=>............................] - ETA: 2:33 - loss: 272.4893 - logits_profile_predictions_loss: 268.9991 - logcount_predictions_loss: 0.3293 84/1081 [=>............................] - ETA: 2:33 - loss: 272.4885 - logits_profile_predictions_loss: 268.9968 - logcount_predictions_loss: 0.3294 85/1081 [=>............................] - ETA: 2:33 - loss: 272.4894 - logits_profile_predictions_loss: 268.9963 - logcount_predictions_loss: 0.3295 86/1081 [=>............................] - ETA: 2:33 - loss: 272.4897 - logits_profile_predictions_loss: 268.9951 - logcount_predictions_loss: 0.3297 87/1081 [=>............................] - ETA: 2:33 - loss: 272.4919 - logits_profile_predictions_loss: 268.9958 - logcount_predictions_loss: 0.3298 88/1081 [=>............................] - ETA: 2:33 - loss: 272.4924 - logits_profile_predictions_loss: 268.9947 - logcount_predictions_loss: 0.3300 89/1081 [=>............................] - ETA: 2:32 - loss: 272.4931 - logits_profile_predictions_loss: 268.9940 - logcount_predictions_loss: 0.3301 90/1081 [=>............................] - ETA: 2:32 - loss: 272.4935 - logits_profile_predictions_loss: 268.9929 - logcount_predictions_loss: 0.3302 91/1081 [=>............................] - ETA: 2:32 - loss: 272.4942 - logits_profile_predictions_loss: 268.9924 - logcount_predictions_loss: 0.3304 92/1081 [=>............................] - ETA: 2:32 - loss: 272.4942 - logits_profile_predictions_loss: 268.9913 - logcount_predictions_loss: 0.3305 93/1081 [=>............................] - ETA: 2:32 - loss: 272.4945 - logits_profile_predictions_loss: 268.9905 - logcount_predictions_loss: 0.3306 94/1081 [=>............................] - ETA: 2:32 - loss: 272.4943 - logits_profile_predictions_loss: 268.9894 - logcount_predictions_loss: 0.3307 95/1081 [=>............................] - ETA: 2:31 - loss: 272.4928 - logits_profile_predictions_loss: 268.9869 - logcount_predictions_loss: 0.3307 96/1081 [=>............................] - ETA: 2:31 - loss: 272.4924 - logits_profile_predictions_loss: 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0.3317 110/1081 [==>...........................] - ETA: 2:29 - loss: 272.4582 - logits_profile_predictions_loss: 268.9416 - logcount_predictions_loss: 0.3318 111/1081 [==>...........................] - ETA: 2:29 - loss: 272.4559 - logits_profile_predictions_loss: 268.9387 - logcount_predictions_loss: 0.3318 112/1081 [==>...........................] - ETA: 2:29 - loss: 272.4535 - logits_profile_predictions_loss: 268.9356 - logcount_predictions_loss: 0.3319 113/1081 [==>...........................] - ETA: 2:29 - loss: 272.4496 - logits_profile_predictions_loss: 268.9311 - logcount_predictions_loss: 0.3319 114/1081 [==>...........................] - ETA: 2:28 - loss: 272.4454 - logits_profile_predictions_loss: 268.9263 - logcount_predictions_loss: 0.3320 115/1081 [==>...........................] - ETA: 2:28 - loss: 272.4408 - logits_profile_predictions_loss: 268.9210 - logcount_predictions_loss: 0.3321 116/1081 [==>...........................] - ETA: 2:28 - loss: 272.4352 - logits_profile_predictions_loss: 268.9147 - logcount_predictions_loss: 0.3321 117/1081 [==>...........................] - ETA: 2:28 - loss: 272.4286 - logits_profile_predictions_loss: 268.9076 - logcount_predictions_loss: 0.3322 118/1081 [==>...........................] - ETA: 2:28 - loss: 272.4245 - logits_profile_predictions_loss: 268.9029 - logcount_predictions_loss: 0.3322 119/1081 [==>...........................] - ETA: 2:28 - loss: 272.4206 - logits_profile_predictions_loss: 268.8984 - logcount_predictions_loss: 0.3323 120/1081 [==>...........................] - ETA: 2:28 - loss: 272.4176 - logits_profile_predictions_loss: 268.8949 - logcount_predictions_loss: 0.3323 121/1081 [==>...........................] - ETA: 2:27 - loss: 272.4155 - logits_profile_predictions_loss: 268.8922 - logcount_predictions_loss: 0.3324 122/1081 [==>...........................] - ETA: 2:27 - loss: 272.4134 - logits_profile_predictions_loss: 268.8896 - logcount_predictions_loss: 0.3324 123/1081 [==>...........................] - ETA: 2:27 - loss: 272.4103 - logits_profile_predictions_loss: 268.8861 - logcount_predictions_loss: 0.3325 124/1081 [==>...........................] - ETA: 2:27 - loss: 272.4080 - logits_profile_predictions_loss: 268.8835 - logcount_predictions_loss: 0.3325 125/1081 [==>...........................] - ETA: 2:27 - loss: 272.4041 - logits_profile_predictions_loss: 268.8793 - logcount_predictions_loss: 0.3325 126/1081 [==>...........................] - ETA: 2:27 - loss: 272.3998 - logits_profile_predictions_loss: 268.8748 - logcount_predictions_loss: 0.3325 127/1081 [==>...........................] - ETA: 2:26 - loss: 272.3977 - logits_profile_predictions_loss: 268.8725 - logcount_predictions_loss: 0.3326 128/1081 [==>...........................] - ETA: 2:26 - loss: 272.3949 - logits_profile_predictions_loss: 268.8695 - logcount_predictions_loss: 0.3326 129/1081 [==>...........................] - ETA: 2:26 - loss: 272.3932 - logits_profile_predictions_loss: 268.8675 - logcount_predictions_loss: 0.3326 130/1081 [==>...........................] - ETA: 2:26 - loss: 272.3915 - logits_profile_predictions_loss: 268.8657 - logcount_predictions_loss: 0.3326 131/1081 [==>...........................] - ETA: 2:26 - loss: 272.3895 - logits_profile_predictions_loss: 268.8636 - logcount_predictions_loss: 0.3326 132/1081 [==>...........................] - ETA: 2:26 - loss: 272.3872 - logits_profile_predictions_loss: 268.8612 - logcount_predictions_loss: 0.3326 133/1081 [==>...........................] - ETA: 2:26 - loss: 272.3850 - logits_profile_predictions_loss: 268.8588 - logcount_predictions_loss: 0.3327 134/1081 [==>...........................] - ETA: 2:25 - loss: 272.3830 - logits_profile_predictions_loss: 268.8567 - logcount_predictions_loss: 0.3327 135/1081 [==>...........................] - ETA: 2:25 - loss: 272.3814 - logits_profile_predictions_loss: 268.8551 - logcount_predictions_loss: 0.3327 136/1081 [==>...........................] - ETA: 2:25 - loss: 272.3798 - logits_profile_predictions_loss: 268.8534 - logcount_predictions_loss: 0.3327 137/1081 [==>...........................] - ETA: 2:25 - loss: 272.3788 - logits_profile_predictions_loss: 268.8525 - logcount_predictions_loss: 0.3327 138/1081 [==>...........................] - ETA: 2:25 - loss: 272.3798 - logits_profile_predictions_loss: 268.8535 - logcount_predictions_loss: 0.3327 139/1081 [==>...........................] - ETA: 2:25 - loss: 272.3803 - logits_profile_predictions_loss: 268.8541 - logcount_predictions_loss: 0.3327 140/1081 [==>...........................] - ETA: 2:24 - loss: 272.3805 - logits_profile_predictions_loss: 268.8544 - logcount_predictions_loss: 0.3326 141/1081 [==>...........................] - ETA: 2:24 - loss: 272.3788 - logits_profile_predictions_loss: 268.8529 - logcount_predictions_loss: 0.3326 142/1081 [==>...........................] - ETA: 2:24 - loss: 272.3773 - logits_profile_predictions_loss: 268.8516 - logcount_predictions_loss: 0.3326 143/1081 [==>...........................] - ETA: 2:24 - loss: 272.3760 - logits_profile_predictions_loss: 268.8505 - logcount_predictions_loss: 0.3326 144/1081 [==>...........................] - ETA: 2:24 - loss: 272.3747 - logits_profile_predictions_loss: 268.8493 - logcount_predictions_loss: 0.3326 145/1081 [===>..........................] - ETA: 2:24 - loss: 272.3727 - logits_profile_predictions_loss: 268.8474 - logcount_predictions_loss: 0.3326 146/1081 [===>..........................] - ETA: 2:24 - loss: 272.3720 - logits_profile_predictions_loss: 268.8469 - logcount_predictions_loss: 0.3326 147/1081 [===>..........................] - ETA: 2:23 - loss: 272.3719 - logits_profile_predictions_loss: 268.8470 - logcount_predictions_loss: 0.3325 148/1081 [===>..........................] - ETA: 2:23 - loss: 272.3716 - logits_profile_predictions_loss: 268.8468 - logcount_predictions_loss: 0.3325 149/1081 [===>..........................] - ETA: 2:23 - loss: 272.3723 - logits_profile_predictions_loss: 268.8477 - logcount_predictions_loss: 0.3325 150/1081 [===>..........................] - ETA: 2:23 - loss: 272.3714 - logits_profile_predictions_loss: 268.8469 - logcount_predictions_loss: 0.3325 151/1081 [===>..........................] - ETA: 2:23 - loss: 272.3700 - logits_profile_predictions_loss: 268.8456 - logcount_predictions_loss: 0.3325 152/1081 [===>..........................] - ETA: 2:23 - loss: 272.3687 - logits_profile_predictions_loss: 268.8446 - logcount_predictions_loss: 0.3325 153/1081 [===>..........................] - ETA: 2:23 - loss: 272.3687 - logits_profile_predictions_loss: 268.8448 - logcount_predictions_loss: 0.3324 154/1081 [===>..........................] - ETA: 2:22 - loss: 272.3682 - logits_profile_predictions_loss: 268.8446 - logcount_predictions_loss: 0.3324 155/1081 [===>..........................] - ETA: 2:22 - loss: 272.3677 - logits_profile_predictions_loss: 268.8443 - logcount_predictions_loss: 0.3324 156/1081 [===>..........................] - ETA: 2:22 - loss: 272.3676 - logits_profile_predictions_loss: 268.8445 - logcount_predictions_loss: 0.3324 157/1081 [===>..........................] - ETA: 2:22 - loss: 272.3672 - logits_profile_predictions_loss: 268.8444 - logcount_predictions_loss: 0.3323 158/1081 [===>..........................] - ETA: 2:22 - loss: 272.3673 - logits_profile_predictions_loss: 268.8448 - logcount_predictions_loss: 0.3323 159/1081 [===>..........................] - ETA: 2:22 - loss: 272.3675 - logits_profile_predictions_loss: 268.8453 - logcount_predictions_loss: 0.3323 160/1081 [===>..........................] - ETA: 2:21 - loss: 272.3684 - logits_profile_predictions_loss: 268.8465 - logcount_predictions_loss: 0.3323 161/1081 [===>..........................] - ETA: 2:21 - loss: 272.3686 - logits_profile_predictions_loss: 268.8471 - logcount_predictions_loss: 0.3322 162/1081 [===>..........................] - ETA: 2:21 - loss: 272.3675 - logits_profile_predictions_loss: 268.8462 - logcount_predictions_loss: 0.3322 163/1081 [===>..........................] - ETA: 2:21 - loss: 272.3666 - logits_profile_predictions_loss: 268.8456 - logcount_predictions_loss: 0.3322 164/1081 [===>..........................] - ETA: 2:21 - loss: 272.3644 - logits_profile_predictions_loss: 268.8437 - logcount_predictions_loss: 0.3321 165/1081 [===>..........................] - ETA: 2:21 - loss: 272.3628 - logits_profile_predictions_loss: 268.8424 - logcount_predictions_loss: 0.3321 166/1081 [===>..........................] - ETA: 2:20 - loss: 272.3623 - logits_profile_predictions_loss: 268.8422 - logcount_predictions_loss: 0.3321 167/1081 [===>..........................] - ETA: 2:20 - loss: 272.3614 - logits_profile_predictions_loss: 268.8415 - logcount_predictions_loss: 0.3321 168/1081 [===>..........................] - ETA: 2:20 - loss: 272.3607 - logits_profile_predictions_loss: 268.8411 - logcount_predictions_loss: 0.3320 169/1081 [===>..........................] - ETA: 2:20 - loss: 272.3605 - logits_profile_predictions_loss: 268.8411 - logcount_predictions_loss: 0.3320 170/1081 [===>..........................] - ETA: 2:20 - loss: 272.3600 - logits_profile_predictions_loss: 268.8408 - logcount_predictions_loss: 0.3320 171/1081 [===>..........................] - ETA: 2:20 - loss: 272.3590 - logits_profile_predictions_loss: 268.8400 - logcount_predictions_loss: 0.3320 172/1081 [===>..........................] - ETA: 2:20 - loss: 272.3576 - logits_profile_predictions_loss: 268.8389 - logcount_predictions_loss: 0.3320 173/1081 [===>..........................] - ETA: 2:19 - loss: 272.3565 - logits_profile_predictions_loss: 268.8380 - logcount_predictions_loss: 0.3319 174/1081 [===>..........................] - ETA: 2:19 - loss: 272.3560 - logits_profile_predictions_loss: 268.8376 - logcount_predictions_loss: 0.3319 175/1081 [===>..........................] - ETA: 2:19 - loss: 272.3546 - logits_profile_predictions_loss: 268.8363 - logcount_predictions_loss: 0.3319 176/1081 [===>..........................] - ETA: 2:19 - loss: 272.3543 - logits_profile_predictions_loss: 268.8362 - logcount_predictions_loss: 0.3319 177/1081 [===>..........................] - ETA: 2:19 - loss: 272.3541 - logits_profile_predictions_loss: 268.8361 - logcount_predictions_loss: 0.3319 178/1081 [===>..........................] - ETA: 2:19 - loss: 272.3542 - logits_profile_predictions_loss: 268.8363 - logcount_predictions_loss: 0.3319 179/1081 [===>..........................] - ETA: 2:18 - loss: 272.3539 - logits_profile_predictions_loss: 268.8361 - logcount_predictions_loss: 0.3319 180/1081 [===>..........................] - ETA: 2:18 - loss: 272.3533 - logits_profile_predictions_loss: 268.8357 - logcount_predictions_loss: 0.3319 181/1081 [====>.........................] - ETA: 2:18 - loss: 272.3527 - logits_profile_predictions_loss: 268.8352 - logcount_predictions_loss: 0.3318 182/1081 [====>.........................] - ETA: 2:18 - loss: 272.3515 - logits_profile_predictions_loss: 268.8340 - logcount_predictions_loss: 0.3318 183/1081 [====>.........................] - ETA: 2:18 - loss: 272.3515 - logits_profile_predictions_loss: 268.8342 - logcount_predictions_loss: 0.3318 184/1081 [====>.........................] - ETA: 2:18 - loss: 272.3515 - logits_profile_predictions_loss: 268.8343 - logcount_predictions_loss: 0.3318 185/1081 [====>.........................] - ETA: 2:18 - loss: 272.3507 - logits_profile_predictions_loss: 268.8336 - logcount_predictions_loss: 0.3318 186/1081 [====>.........................] - ETA: 2:17 - loss: 272.3499 - logits_profile_predictions_loss: 268.8329 - logcount_predictions_loss: 0.3318 187/1081 [====>.........................] - ETA: 2:17 - loss: 272.3491 - logits_profile_predictions_loss: 268.8322 - logcount_predictions_loss: 0.3318 188/1081 [====>.........................] - ETA: 2:17 - loss: 272.3476 - logits_profile_predictions_loss: 268.8308 - logcount_predictions_loss: 0.3318 189/1081 [====>.........................] - ETA: 2:17 - loss: 272.3459 - logits_profile_predictions_loss: 268.8292 - logcount_predictions_loss: 0.3318 190/1081 [====>.........................] - ETA: 2:17 - loss: 272.3454 - logits_profile_predictions_loss: 268.8288 - logcount_predictions_loss: 0.3318 191/1081 [====>.........................] - ETA: 2:17 - loss: 272.3443 - logits_profile_predictions_loss: 268.8278 - logcount_predictions_loss: 0.3318 192/1081 [====>.........................] - ETA: 2:16 - loss: 272.3431 - logits_profile_predictions_loss: 268.8266 - logcount_predictions_loss: 0.3317 193/1081 [====>.........................] - ETA: 2:16 - loss: 272.3411 - logits_profile_predictions_loss: 268.8246 - logcount_predictions_loss: 0.3317 194/1081 [====>.........................] - ETA: 2:16 - loss: 272.3392 - logits_profile_predictions_loss: 268.8228 - logcount_predictions_loss: 0.3317 195/1081 [====>.........................] - ETA: 2:16 - loss: 272.3378 - logits_profile_predictions_loss: 268.8215 - logcount_predictions_loss: 0.3317 196/1081 [====>.........................] - ETA: 2:16 - loss: 272.3365 - logits_profile_predictions_loss: 268.8202 - logcount_predictions_loss: 0.3317 197/1081 [====>.........................] - ETA: 2:16 - loss: 272.3349 - logits_profile_predictions_loss: 268.8187 - logcount_predictions_loss: 0.3317 198/1081 [====>.........................] - ETA: 2:16 - loss: 272.3328 - logits_profile_predictions_loss: 268.8165 - logcount_predictions_loss: 0.3317 199/1081 [====>.........................] - ETA: 2:15 - loss: 272.3305 - logits_profile_predictions_loss: 268.8143 - logcount_predictions_loss: 0.3317 200/1081 [====>.........................] - ETA: 2:15 - loss: 272.3273 - logits_profile_predictions_loss: 268.8111 - logcount_predictions_loss: 0.3317 201/1081 [====>.........................] - ETA: 2:15 - loss: 272.3243 - logits_profile_predictions_loss: 268.8081 - logcount_predictions_loss: 0.3317 202/1081 [====>.........................] - ETA: 2:15 - loss: 272.3213 - logits_profile_predictions_loss: 268.8052 - logcount_predictions_loss: 0.3317 203/1081 [====>.........................] - ETA: 2:15 - loss: 272.3185 - logits_profile_predictions_loss: 268.8024 - logcount_predictions_loss: 0.3317 204/1081 [====>.........................] - ETA: 2:15 - loss: 272.3154 - logits_profile_predictions_loss: 268.7994 - logcount_predictions_loss: 0.3317 205/1081 [====>.........................] - ETA: 2:14 - loss: 272.3122 - logits_profile_predictions_loss: 268.7962 - logcount_predictions_loss: 0.3317 206/1081 [====>.........................] - ETA: 2:14 - loss: 272.3085 - logits_profile_predictions_loss: 268.7926 - logcount_predictions_loss: 0.3317 207/1081 [====>.........................] - ETA: 2:14 - loss: 272.3049 - logits_profile_predictions_loss: 268.7891 - logcount_predictions_loss: 0.3317 208/1081 [====>.........................] - ETA: 2:14 - loss: 272.3020 - logits_profile_predictions_loss: 268.7862 - logcount_predictions_loss: 0.3317 209/1081 [====>.........................] - ETA: 2:14 - loss: 272.2990 - logits_profile_predictions_loss: 268.7833 - logcount_predictions_loss: 0.3317 210/1081 [====>.........................] - ETA: 2:14 - loss: 272.2960 - logits_profile_predictions_loss: 268.7803 - logcount_predictions_loss: 0.3317 211/1081 [====>.........................] - ETA: 2:14 - loss: 272.2935 - logits_profile_predictions_loss: 268.7779 - logcount_predictions_loss: 0.3317 212/1081 [====>.........................] - ETA: 2:13 - loss: 272.2903 - logits_profile_predictions_loss: 268.7747 - logcount_predictions_loss: 0.3317 213/1081 [====>.........................] - ETA: 2:13 - loss: 272.2863 - logits_profile_predictions_loss: 268.7708 - logcount_predictions_loss: 0.3317 214/1081 [====>.........................] - ETA: 2:13 - loss: 272.2818 - logits_profile_predictions_loss: 268.7664 - logcount_predictions_loss: 0.3316 215/1081 [====>.........................] - ETA: 2:13 - loss: 272.2778 - logits_profile_predictions_loss: 268.7624 - logcount_predictions_loss: 0.3316 216/1081 [====>.........................] - ETA: 2:13 - loss: 272.2744 - logits_profile_predictions_loss: 268.7589 - logcount_predictions_loss: 0.3317 217/1081 [=====>........................] - ETA: 2:13 - loss: 272.2709 - logits_profile_predictions_loss: 268.7554 - logcount_predictions_loss: 0.3317 218/1081 [=====>........................] - ETA: 2:12 - loss: 272.2672 - logits_profile_predictions_loss: 268.7517 - logcount_predictions_loss: 0.3317 219/1081 [=====>........................] - ETA: 2:12 - loss: 272.2635 - logits_profile_predictions_loss: 268.7480 - logcount_predictions_loss: 0.3317 220/1081 [=====>........................] - ETA: 2:12 - loss: 272.2597 - logits_profile_predictions_loss: 268.7442 - logcount_predictions_loss: 0.3317 221/1081 [=====>........................] - ETA: 2:12 - loss: 272.2560 - logits_profile_predictions_loss: 268.7404 - logcount_predictions_loss: 0.3317 222/1081 [=====>........................] - ETA: 2:12 - loss: 272.2523 - logits_profile_predictions_loss: 268.7367 - logcount_predictions_loss: 0.3317 223/1081 [=====>........................] - ETA: 2:12 - loss: 272.2488 - logits_profile_predictions_loss: 268.7331 - logcount_predictions_loss: 0.3317 224/1081 [=====>........................] - ETA: 2:12 - loss: 272.2452 - logits_profile_predictions_loss: 268.7295 - logcount_predictions_loss: 0.3317 225/1081 [=====>........................] - ETA: 2:11 - loss: 272.2415 - logits_profile_predictions_loss: 268.7258 - logcount_predictions_loss: 0.3317 226/1081 [=====>........................] - ETA: 2:11 - loss: 272.2380 - logits_profile_predictions_loss: 268.7222 - logcount_predictions_loss: 0.3317 227/1081 [=====>........................] - ETA: 2:11 - loss: 272.2347 - logits_profile_predictions_loss: 268.7188 - logcount_predictions_loss: 0.3317 228/1081 [=====>........................] - ETA: 2:11 - loss: 272.2312 - logits_profile_predictions_loss: 268.7152 - logcount_predictions_loss: 0.3317 229/1081 [=====>........................] - ETA: 2:11 - loss: 272.2282 - logits_profile_predictions_loss: 268.7121 - logcount_predictions_loss: 0.3317 230/1081 [=====>........................] - ETA: 2:11 - loss: 272.2255 - logits_profile_predictions_loss: 268.7093 - logcount_predictions_loss: 0.3317 231/1081 [=====>........................] - ETA: 2:11 - loss: 272.2227 - logits_profile_predictions_loss: 268.7065 - logcount_predictions_loss: 0.3317 232/1081 [=====>........................] - ETA: 2:10 - loss: 272.2199 - logits_profile_predictions_loss: 268.7035 - logcount_predictions_loss: 0.3317 233/1081 [=====>........................] - ETA: 2:10 - loss: 272.2174 - logits_profile_predictions_loss: 268.7009 - logcount_predictions_loss: 0.3317 234/1081 [=====>........................] - ETA: 2:10 - loss: 272.2150 - logits_profile_predictions_loss: 268.6984 - logcount_predictions_loss: 0.3318 235/1081 [=====>........................] - ETA: 2:10 - loss: 272.2129 - logits_profile_predictions_loss: 268.6961 - logcount_predictions_loss: 0.3318 236/1081 [=====>........................] - ETA: 2:10 - loss: 272.2101 - logits_profile_predictions_loss: 268.6932 - logcount_predictions_loss: 0.3318 237/1081 [=====>........................] - ETA: 2:10 - loss: 272.2075 - logits_profile_predictions_loss: 268.6905 - logcount_predictions_loss: 0.3318 238/1081 [=====>........................] - ETA: 2:09 - loss: 272.2052 - logits_profile_predictions_loss: 268.6881 - logcount_predictions_loss: 0.3318 239/1081 [=====>........................] - ETA: 2:09 - loss: 272.2029 - logits_profile_predictions_loss: 268.6856 - logcount_predictions_loss: 0.3318 240/1081 [=====>........................] - ETA: 2:09 - loss: 272.2005 - logits_profile_predictions_loss: 268.6831 - logcount_predictions_loss: 0.3318 241/1081 [=====>........................] - ETA: 2:09 - loss: 272.1982 - logits_profile_predictions_loss: 268.6806 - logcount_predictions_loss: 0.3318 242/1081 [=====>........................] - ETA: 2:09 - loss: 272.1961 - logits_profile_predictions_loss: 268.6784 - logcount_predictions_loss: 0.3319 243/1081 [=====>........................] - ETA: 2:09 - loss: 272.1939 - logits_profile_predictions_loss: 268.6760 - logcount_predictions_loss: 0.3319 244/1081 [=====>........................] - ETA: 2:09 - loss: 272.1917 - logits_profile_predictions_loss: 268.6737 - logcount_predictions_loss: 0.3319 245/1081 [=====>........................] - ETA: 2:08 - loss: 272.1897 - logits_profile_predictions_loss: 268.6716 - logcount_predictions_loss: 0.3319 246/1081 [=====>........................] - ETA: 2:08 - loss: 272.1874 - logits_profile_predictions_loss: 268.6691 - logcount_predictions_loss: 0.3319 247/1081 [=====>........................] - ETA: 2:08 - loss: 272.1849 - logits_profile_predictions_loss: 268.6664 - logcount_predictions_loss: 0.3319 248/1081 [=====>........................] - ETA: 2:08 - loss: 272.1820 - logits_profile_predictions_loss: 268.6634 - logcount_predictions_loss: 0.3319 249/1081 [=====>........................] - ETA: 2:08 - loss: 272.1787 - logits_profile_predictions_loss: 268.6600 - logcount_predictions_loss: 0.3320 250/1081 [=====>........................] - ETA: 2:08 - loss: 272.1754 - logits_profile_predictions_loss: 268.6565 - logcount_predictions_loss: 0.3320 251/1081 [=====>........................] - ETA: 2:07 - loss: 272.1718 - logits_profile_predictions_loss: 268.6528 - logcount_predictions_loss: 0.3320 252/1081 [=====>........................] - ETA: 2:07 - loss: 272.1683 - logits_profile_predictions_loss: 268.6491 - logcount_predictions_loss: 0.3320 253/1081 [======>.......................] - ETA: 2:07 - loss: 272.1647 - logits_profile_predictions_loss: 268.6454 - logcount_predictions_loss: 0.3320 254/1081 [======>.......................] - ETA: 2:07 - loss: 272.1613 - logits_profile_predictions_loss: 268.6419 - logcount_predictions_loss: 0.3320 255/1081 [======>.......................] - ETA: 2:07 - loss: 272.1576 - logits_profile_predictions_loss: 268.6380 - logcount_predictions_loss: 0.3320 256/1081 [======>.......................] - ETA: 2:07 - loss: 272.1542 - logits_profile_predictions_loss: 268.6346 - logcount_predictions_loss: 0.3321 257/1081 [======>.......................] - ETA: 2:06 - loss: 272.1511 - logits_profile_predictions_loss: 268.6313 - logcount_predictions_loss: 0.3321 258/1081 [======>.......................] - ETA: 2:06 - loss: 272.1477 - logits_profile_predictions_loss: 268.6277 - logcount_predictions_loss: 0.3321 259/1081 [======>.......................] - ETA: 2:06 - loss: 272.1444 - 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266.0444 - logcount_predictions_loss: 0.3234 48/1081 [>.............................] - ETA: 2:39 - loss: 269.4350 - logits_profile_predictions_loss: 266.0082 - logcount_predictions_loss: 0.3233 49/1081 [>.............................] - ETA: 2:39 - loss: 269.4077 - logits_profile_predictions_loss: 265.9824 - logcount_predictions_loss: 0.3231 50/1081 [>.............................] - ETA: 2:38 - loss: 269.3758 - logits_profile_predictions_loss: 265.9515 - logcount_predictions_loss: 0.3230 51/1081 [>.............................] - ETA: 2:38 - loss: 269.3442 - logits_profile_predictions_loss: 265.9209 - logcount_predictions_loss: 0.3230 52/1081 [>.............................] - ETA: 2:38 - loss: 269.3265 - logits_profile_predictions_loss: 265.9039 - logcount_predictions_loss: 0.3229 53/1081 [>.............................] - ETA: 2:38 - loss: 269.3081 - logits_profile_predictions_loss: 265.8862 - logcount_predictions_loss: 0.3228 54/1081 [>.............................] - ETA: 2:38 - loss: 269.2771 - logits_profile_predictions_loss: 265.8558 - logcount_predictions_loss: 0.3228 55/1081 [>.............................] - ETA: 2:38 - loss: 269.2511 - logits_profile_predictions_loss: 265.8305 - logcount_predictions_loss: 0.3227 56/1081 [>.............................] - ETA: 2:38 - loss: 269.2303 - logits_profile_predictions_loss: 265.8106 - logcount_predictions_loss: 0.3226 57/1081 [>.............................] - ETA: 2:37 - loss: 269.2149 - logits_profile_predictions_loss: 265.7964 - logcount_predictions_loss: 0.3225 58/1081 [>.............................] - ETA: 2:37 - loss: 269.1963 - logits_profile_predictions_loss: 265.7788 - logcount_predictions_loss: 0.3224 59/1081 [>.............................] - ETA: 2:37 - loss: 269.1732 - logits_profile_predictions_loss: 265.7569 - logcount_predictions_loss: 0.3223 60/1081 [>.............................] - ETA: 2:37 - loss: 269.1566 - logits_profile_predictions_loss: 265.7413 - logcount_predictions_loss: 0.3222 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logits_profile_predictions_loss: 265.6614 - logcount_predictions_loss: 0.3216 68/1081 [>.............................] - ETA: 2:36 - loss: 269.0503 - logits_profile_predictions_loss: 265.6425 - logcount_predictions_loss: 0.3215 69/1081 [>.............................] - ETA: 2:36 - loss: 269.0378 - logits_profile_predictions_loss: 265.6306 - logcount_predictions_loss: 0.3214 70/1081 [>.............................] - ETA: 2:35 - loss: 269.0245 - logits_profile_predictions_loss: 265.6180 - logcount_predictions_loss: 0.3214 71/1081 [>.............................] - ETA: 2:35 - loss: 269.0139 - logits_profile_predictions_loss: 265.6078 - logcount_predictions_loss: 0.3213 72/1081 [>.............................] - ETA: 2:35 - loss: 268.9997 - logits_profile_predictions_loss: 265.5941 - logcount_predictions_loss: 0.3213 73/1081 [=>............................] - ETA: 2:35 - loss: 268.9849 - logits_profile_predictions_loss: 265.5798 - logcount_predictions_loss: 0.3212 74/1081 [=>............................] - ETA: 2:35 - loss: 268.9669 - logits_profile_predictions_loss: 265.5624 - logcount_predictions_loss: 0.3212 75/1081 [=>............................] - ETA: 2:35 - loss: 268.9445 - logits_profile_predictions_loss: 265.5408 - logcount_predictions_loss: 0.3211 76/1081 [=>............................] - ETA: 2:34 - loss: 268.9195 - logits_profile_predictions_loss: 265.5166 - logcount_predictions_loss: 0.3210 77/1081 [=>............................] - ETA: 2:34 - loss: 268.8992 - logits_profile_predictions_loss: 265.4970 - logcount_predictions_loss: 0.3210 78/1081 [=>............................] - ETA: 2:34 - loss: 268.8773 - logits_profile_predictions_loss: 265.4759 - logcount_predictions_loss: 0.3209 79/1081 [=>............................] - ETA: 2:34 - loss: 268.8585 - logits_profile_predictions_loss: 265.4579 - logcount_predictions_loss: 0.3208 80/1081 [=>............................] - ETA: 2:34 - loss: 268.8437 - logits_profile_predictions_loss: 265.4441 - logcount_predictions_loss: 0.3207 81/1081 [=>............................] - ETA: 2:34 - loss: 268.8322 - logits_profile_predictions_loss: 265.4334 - logcount_predictions_loss: 0.3206 82/1081 [=>............................] - ETA: 2:34 - loss: 268.8224 - logits_profile_predictions_loss: 265.4244 - logcount_predictions_loss: 0.3206 83/1081 [=>............................] - ETA: 2:33 - loss: 268.8140 - logits_profile_predictions_loss: 265.4167 - logcount_predictions_loss: 0.3205 84/1081 [=>............................] - ETA: 2:33 - loss: 268.8073 - logits_profile_predictions_loss: 265.4108 - logcount_predictions_loss: 0.3204 85/1081 [=>............................] - ETA: 2:33 - loss: 268.8039 - logits_profile_predictions_loss: 265.4081 - logcount_predictions_loss: 0.3204 86/1081 [=>............................] - ETA: 2:33 - loss: 268.8024 - logits_profile_predictions_loss: 265.4072 - logcount_predictions_loss: 0.3203 87/1081 [=>............................] - ETA: 2:33 - loss: 268.8024 - logits_profile_predictions_loss: 265.4079 - logcount_predictions_loss: 0.3202 88/1081 [=>............................] - ETA: 2:33 - loss: 268.8050 - logits_profile_predictions_loss: 265.4111 - logcount_predictions_loss: 0.3202 89/1081 [=>............................] - ETA: 2:32 - loss: 268.8116 - logits_profile_predictions_loss: 265.4183 - logcount_predictions_loss: 0.3201 90/1081 [=>............................] - ETA: 2:32 - loss: 268.8181 - logits_profile_predictions_loss: 265.4253 - logcount_predictions_loss: 0.3201 91/1081 [=>............................] - ETA: 2:32 - loss: 268.8263 - logits_profile_predictions_loss: 265.4340 - logcount_predictions_loss: 0.3200 92/1081 [=>............................] - ETA: 2:32 - loss: 268.8330 - logits_profile_predictions_loss: 265.4412 - logcount_predictions_loss: 0.3200 93/1081 [=>............................] - ETA: 2:32 - loss: 268.8399 - logits_profile_predictions_loss: 265.4486 - logcount_predictions_loss: 0.3199 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logits_profile_predictions_loss: 265.5146 - logcount_predictions_loss: 0.3196 101/1081 [=>............................] - ETA: 2:31 - loss: 268.9140 - logits_profile_predictions_loss: 265.5260 - logcount_predictions_loss: 0.3196 102/1081 [=>............................] - ETA: 2:30 - loss: 268.9225 - logits_profile_predictions_loss: 265.5347 - logcount_predictions_loss: 0.3196 103/1081 [=>............................] - ETA: 2:30 - loss: 268.9318 - logits_profile_predictions_loss: 265.5442 - logcount_predictions_loss: 0.3196 104/1081 [=>............................] - ETA: 2:30 - loss: 268.9392 - logits_profile_predictions_loss: 265.5519 - logcount_predictions_loss: 0.3196 105/1081 [=>............................] - ETA: 2:30 - loss: 268.9489 - logits_profile_predictions_loss: 265.5620 - logcount_predictions_loss: 0.3195 106/1081 [=>............................] - ETA: 2:30 - loss: 268.9589 - logits_profile_predictions_loss: 265.5723 - logcount_predictions_loss: 0.3195 107/1081 [=>............................] - ETA: 2:30 - loss: 268.9686 - logits_profile_predictions_loss: 265.5824 - logcount_predictions_loss: 0.3195 108/1081 [=>............................] - ETA: 2:30 - loss: 268.9774 - logits_profile_predictions_loss: 265.5914 - logcount_predictions_loss: 0.3194 109/1081 [==>...........................] - ETA: 2:29 - loss: 268.9878 - logits_profile_predictions_loss: 265.6021 - logcount_predictions_loss: 0.3194 110/1081 [==>...........................] - ETA: 2:29 - loss: 268.9994 - logits_profile_predictions_loss: 265.6140 - logcount_predictions_loss: 0.3194 111/1081 [==>...........................] - ETA: 2:29 - loss: 269.0099 - logits_profile_predictions_loss: 265.6247 - logcount_predictions_loss: 0.3194 112/1081 [==>...........................] - ETA: 2:29 - loss: 269.0215 - logits_profile_predictions_loss: 265.6363 - logcount_predictions_loss: 0.3194 113/1081 [==>...........................] - ETA: 2:29 - loss: 269.0326 - 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[==>...........................] - ETA: 2:28 - loss: 269.1150 - logits_profile_predictions_loss: 265.7310 - logcount_predictions_loss: 0.3192 121/1081 [==>...........................] - ETA: 2:28 - loss: 269.1280 - logits_profile_predictions_loss: 265.7441 - logcount_predictions_loss: 0.3192 122/1081 [==>...........................] - ETA: 2:27 - loss: 269.1408 - logits_profile_predictions_loss: 265.7570 - logcount_predictions_loss: 0.3192 123/1081 [==>...........................] - ETA: 2:27 - loss: 269.1538 - logits_profile_predictions_loss: 265.7701 - logcount_predictions_loss: 0.3192 124/1081 [==>...........................] - ETA: 2:27 - loss: 269.1658 - logits_profile_predictions_loss: 265.7824 - logcount_predictions_loss: 0.3192 125/1081 [==>...........................] - ETA: 2:27 - loss: 269.1775 - logits_profile_predictions_loss: 265.7943 - logcount_predictions_loss: 0.3192 126/1081 [==>...........................] - ETA: 2:27 - loss: 269.1901 - logits_profile_predictions_loss: 265.8072 - logcount_predictions_loss: 0.3191 127/1081 [==>...........................] - ETA: 2:27 - loss: 269.2027 - logits_profile_predictions_loss: 265.8199 - logcount_predictions_loss: 0.3191 128/1081 [==>...........................] - ETA: 2:26 - loss: 269.2147 - logits_profile_predictions_loss: 265.8322 - logcount_predictions_loss: 0.3191 129/1081 [==>...........................] - ETA: 2:26 - loss: 269.2270 - logits_profile_predictions_loss: 265.8447 - logcount_predictions_loss: 0.3191 130/1081 [==>...........................] - ETA: 2:26 - loss: 269.2402 - logits_profile_predictions_loss: 265.8580 - logcount_predictions_loss: 0.3191 131/1081 [==>...........................] - ETA: 2:26 - loss: 269.2520 - logits_profile_predictions_loss: 265.8699 - logcount_predictions_loss: 0.3191 132/1081 [==>...........................] - ETA: 2:26 - loss: 269.2659 - logits_profile_predictions_loss: 265.8838 - logcount_predictions_loss: 0.3191 133/1081 [==>...........................] - ETA: 2:26 - loss: 269.2794 - logits_profile_predictions_loss: 265.8972 - logcount_predictions_loss: 0.3191 134/1081 [==>...........................] - ETA: 2:26 - loss: 269.2922 - logits_profile_predictions_loss: 265.9100 - logcount_predictions_loss: 0.3191 135/1081 [==>...........................] - ETA: 2:26 - loss: 269.3041 - logits_profile_predictions_loss: 265.9218 - logcount_predictions_loss: 0.3191 136/1081 [==>...........................] - ETA: 2:25 - loss: 269.3144 - logits_profile_predictions_loss: 265.9322 - logcount_predictions_loss: 0.3191 137/1081 [==>...........................] - ETA: 2:25 - loss: 269.3240 - logits_profile_predictions_loss: 265.9417 - logcount_predictions_loss: 0.3191 138/1081 [==>...........................] - ETA: 2:25 - loss: 269.3339 - logits_profile_predictions_loss: 265.9517 - logcount_predictions_loss: 0.3191 139/1081 [==>...........................] - ETA: 2:25 - loss: 269.3427 - logits_profile_predictions_loss: 265.9604 - logcount_predictions_loss: 0.3191 140/1081 [==>...........................] - ETA: 2:25 - loss: 269.3529 - logits_profile_predictions_loss: 265.9705 - logcount_predictions_loss: 0.3191 141/1081 [==>...........................] - ETA: 2:25 - loss: 269.3629 - logits_profile_predictions_loss: 265.9806 - logcount_predictions_loss: 0.3191 142/1081 [==>...........................] - ETA: 2:24 - loss: 269.3736 - logits_profile_predictions_loss: 265.9913 - logcount_predictions_loss: 0.3191 143/1081 [==>...........................] - ETA: 2:24 - loss: 269.3833 - logits_profile_predictions_loss: 266.0011 - logcount_predictions_loss: 0.3191 144/1081 [==>...........................] - ETA: 2:24 - loss: 269.3926 - logits_profile_predictions_loss: 266.0105 - logcount_predictions_loss: 0.3191 145/1081 [===>..........................] - ETA: 2:24 - loss: 269.4017 - logits_profile_predictions_loss: 266.0196 - logcount_predictions_loss: 0.3191 146/1081 [===>..........................] - ETA: 2:24 - loss: 269.4107 - logits_profile_predictions_loss: 266.0287 - logcount_predictions_loss: 0.3191 147/1081 [===>..........................] - ETA: 2:24 - loss: 269.4211 - logits_profile_predictions_loss: 266.0392 - logcount_predictions_loss: 0.3191 148/1081 [===>..........................] - ETA: 2:24 - loss: 269.4311 - logits_profile_predictions_loss: 266.0492 - logcount_predictions_loss: 0.3190 149/1081 [===>..........................] - ETA: 2:23 - loss: 269.4399 - logits_profile_predictions_loss: 266.0582 - logcount_predictions_loss: 0.3190 150/1081 [===>..........................] - ETA: 2:23 - loss: 269.4484 - logits_profile_predictions_loss: 266.0668 - logcount_predictions_loss: 0.3190 151/1081 [===>..........................] - ETA: 2:23 - loss: 269.4567 - logits_profile_predictions_loss: 266.0752 - logcount_predictions_loss: 0.3190 152/1081 [===>..........................] - ETA: 2:23 - loss: 269.4630 - 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[===>..........................] - ETA: 2:22 - loss: 269.5078 - logits_profile_predictions_loss: 266.1270 - logcount_predictions_loss: 0.3189 160/1081 [===>..........................] - ETA: 2:22 - loss: 269.5145 - logits_profile_predictions_loss: 266.1338 - logcount_predictions_loss: 0.3189 161/1081 [===>..........................] - ETA: 2:21 - loss: 269.5208 - logits_profile_predictions_loss: 266.1404 - logcount_predictions_loss: 0.3189 162/1081 [===>..........................] - ETA: 2:21 - loss: 269.5260 - logits_profile_predictions_loss: 266.1457 - logcount_predictions_loss: 0.3189 163/1081 [===>..........................] - ETA: 2:21 - loss: 269.5313 - logits_profile_predictions_loss: 266.1513 - logcount_predictions_loss: 0.3189 164/1081 [===>..........................] - ETA: 2:21 - loss: 269.5360 - logits_profile_predictions_loss: 266.1561 - logcount_predictions_loss: 0.3189 165/1081 [===>..........................] - ETA: 2:21 - loss: 269.5406 - 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[=====>........................] - ETA: 2:12 - loss: 269.6758 - logits_profile_predictions_loss: 266.3026 - logcount_predictions_loss: 0.3182 225/1081 [=====>........................] - ETA: 2:12 - loss: 269.6766 - logits_profile_predictions_loss: 266.3034 - logcount_predictions_loss: 0.3182 226/1081 [=====>........................] - ETA: 2:11 - loss: 269.6767 - logits_profile_predictions_loss: 266.3035 - logcount_predictions_loss: 0.3182 227/1081 [=====>........................] - ETA: 2:11 - loss: 269.6772 - logits_profile_predictions_loss: 266.3040 - logcount_predictions_loss: 0.3182 228/1081 [=====>........................] - ETA: 2:11 - loss: 269.6782 - logits_profile_predictions_loss: 266.3050 - logcount_predictions_loss: 0.3182 229/1081 [=====>........................] - ETA: 2:11 - loss: 269.6794 - logits_profile_predictions_loss: 266.3062 - logcount_predictions_loss: 0.3182 230/1081 [=====>........................] - ETA: 2:11 - loss: 269.6807 - 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[=====>........................] - ETA: 2:10 - loss: 269.6820 - logits_profile_predictions_loss: 266.3089 - logcount_predictions_loss: 0.3182 238/1081 [=====>........................] - ETA: 2:10 - loss: 269.6815 - logits_profile_predictions_loss: 266.3084 - logcount_predictions_loss: 0.3182 239/1081 [=====>........................] - ETA: 2:09 - loss: 269.6812 - logits_profile_predictions_loss: 266.3082 - logcount_predictions_loss: 0.3182 240/1081 [=====>........................] - ETA: 2:09 - loss: 269.6811 - logits_profile_predictions_loss: 266.3081 - logcount_predictions_loss: 0.3182 241/1081 [=====>........................] - ETA: 2:09 - loss: 269.6807 - logits_profile_predictions_loss: 266.3078 - logcount_predictions_loss: 0.3182 242/1081 [=====>........................] - ETA: 2:09 - loss: 269.6803 - logits_profile_predictions_loss: 266.3075 - logcount_predictions_loss: 0.3182 243/1081 [=====>........................] - ETA: 2:09 - loss: 269.6798 - 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[=====>........................] - ETA: 2:08 - loss: 269.6763 - logits_profile_predictions_loss: 266.3040 - logcount_predictions_loss: 0.3181 251/1081 [=====>........................] - ETA: 2:08 - loss: 269.6756 - logits_profile_predictions_loss: 266.3034 - logcount_predictions_loss: 0.3181 252/1081 [=====>........................] - ETA: 2:07 - loss: 269.6749 - logits_profile_predictions_loss: 266.3027 - logcount_predictions_loss: 0.3181 253/1081 [======>.......................] - ETA: 2:07 - loss: 269.6736 - logits_profile_predictions_loss: 266.3015 - logcount_predictions_loss: 0.3181 254/1081 [======>.......................] - ETA: 2:07 - loss: 269.6726 - logits_profile_predictions_loss: 266.3006 - logcount_predictions_loss: 0.3181 255/1081 [======>.......................] - ETA: 2:07 - loss: 269.6717 - logits_profile_predictions_loss: 266.2998 - logcount_predictions_loss: 0.3181 256/1081 [======>.......................] - ETA: 2:07 - loss: 269.6709 - 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[======>.......................] - ETA: 2:04 - loss: 269.6498 - logits_profile_predictions_loss: 266.2796 - logcount_predictions_loss: 0.3180 277/1081 [======>.......................] - ETA: 2:04 - loss: 269.6486 - logits_profile_predictions_loss: 266.2784 - logcount_predictions_loss: 0.3179 278/1081 [======>.......................] - ETA: 2:03 - loss: 269.6472 - logits_profile_predictions_loss: 266.2771 - logcount_predictions_loss: 0.3179 279/1081 [======>.......................] - ETA: 2:03 - loss: 269.6461 - logits_profile_predictions_loss: 266.2762 - logcount_predictions_loss: 0.3179 280/1081 [======>.......................] - ETA: 2:03 - loss: 269.6451 - logits_profile_predictions_loss: 266.2752 - logcount_predictions_loss: 0.3179 281/1081 [======>.......................] - ETA: 2:03 - loss: 269.6440 - logits_profile_predictions_loss: 266.2742 - logcount_predictions_loss: 0.3179 282/1081 [======>.......................] - ETA: 2:03 - loss: 269.6429 - 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logits_profile_predictions_loss: 266.0307 - logcount_predictions_loss: 0.3152 1081/1081 [==============================] - 174s 161ms/step - loss: 269.3711 - logits_profile_predictions_loss: 266.0303 - logcount_predictions_loss: 0.3152 - val_loss: 282.0030 - val_logits_profile_predictions_loss: 278.7278 - val_logcount_predictions_loss: 0.3090 + +Epoch 00008: val_loss did not improve from 281.85043 +Epoch 9/50 + 1/1081 [..............................] - ETA: 3:24 - loss: 284.8764 - logits_profile_predictions_loss: 281.5903 - logcount_predictions_loss: 0.3100 2/1081 [..............................] - ETA: 2:57 - loss: 279.3836 - logits_profile_predictions_loss: 276.1898 - logcount_predictions_loss: 0.3013 3/1081 [..............................] - ETA: 2:51 - loss: 277.9477 - logits_profile_predictions_loss: 274.7135 - logcount_predictions_loss: 0.3051 4/1081 [..............................] - ETA: 2:49 - loss: 277.2715 - logits_profile_predictions_loss: 274.0313 - logcount_predictions_loss: 0.3057 5/1081 [..............................] - ETA: 2:48 - loss: 276.3086 - logits_profile_predictions_loss: 273.0584 - logcount_predictions_loss: 0.3066 6/1081 [..............................] - ETA: 2:47 - loss: 275.3318 - logits_profile_predictions_loss: 272.0613 - logcount_predictions_loss: 0.3085 7/1081 [..............................] - ETA: 2:47 - loss: 274.8624 - logits_profile_predictions_loss: 271.5772 - logcount_predictions_loss: 0.3099 8/1081 [..............................] - ETA: 2:46 - loss: 274.4078 - logits_profile_predictions_loss: 271.1141 - logcount_predictions_loss: 0.3107 9/1081 [..............................] - ETA: 2:46 - loss: 274.0805 - logits_profile_predictions_loss: 270.7809 - logcount_predictions_loss: 0.3113 10/1081 [..............................] - ETA: 2:46 - loss: 273.6592 - logits_profile_predictions_loss: 270.3601 - logcount_predictions_loss: 0.3112 11/1081 [..............................] - ETA: 2:45 - loss: 273.3313 - 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[..............................] - ETA: 2:44 - loss: 271.8312 - logits_profile_predictions_loss: 268.5694 - logcount_predictions_loss: 0.3077 19/1081 [..............................] - ETA: 2:44 - loss: 271.7389 - logits_profile_predictions_loss: 268.4804 - logcount_predictions_loss: 0.3074 20/1081 [..............................] - ETA: 2:43 - loss: 271.6691 - logits_profile_predictions_loss: 268.4164 - logcount_predictions_loss: 0.3069 21/1081 [..............................] - ETA: 2:43 - loss: 271.5752 - logits_profile_predictions_loss: 268.3297 - logcount_predictions_loss: 0.3062 22/1081 [..............................] - ETA: 2:43 - loss: 271.4103 - logits_profile_predictions_loss: 268.1702 - logcount_predictions_loss: 0.3057 23/1081 [..............................] - ETA: 2:43 - loss: 271.3004 - logits_profile_predictions_loss: 268.0646 - logcount_predictions_loss: 0.3053 24/1081 [..............................] - ETA: 2:43 - loss: 271.1951 - logits_profile_predictions_loss: 267.9635 - logcount_predictions_loss: 0.3049 25/1081 [..............................] - ETA: 2:43 - loss: 271.0774 - logits_profile_predictions_loss: 267.8501 - logcount_predictions_loss: 0.3045 26/1081 [..............................] - ETA: 2:42 - loss: 270.9486 - logits_profile_predictions_loss: 267.7257 - logcount_predictions_loss: 0.3041 27/1081 [..............................] - ETA: 2:42 - loss: 270.8133 - logits_profile_predictions_loss: 267.5944 - logcount_predictions_loss: 0.3037 28/1081 [..............................] - ETA: 2:42 - loss: 270.7115 - logits_profile_predictions_loss: 267.4930 - logcount_predictions_loss: 0.3036 29/1081 [..............................] - ETA: 2:42 - loss: 270.6405 - logits_profile_predictions_loss: 267.4229 - logcount_predictions_loss: 0.3035 30/1081 [..............................] - ETA: 2:42 - loss: 270.5541 - logits_profile_predictions_loss: 267.3378 - logcount_predictions_loss: 0.3034 31/1081 [..............................] - ETA: 2:42 - loss: 270.4528 - logits_profile_predictions_loss: 267.2377 - logcount_predictions_loss: 0.3033 32/1081 [..............................] - ETA: 2:41 - loss: 270.3517 - logits_profile_predictions_loss: 267.1390 - logcount_predictions_loss: 0.3031 33/1081 [..............................] - ETA: 2:41 - loss: 270.2657 - logits_profile_predictions_loss: 267.0545 - logcount_predictions_loss: 0.3029 34/1081 [..............................] - ETA: 2:41 - loss: 270.1652 - logits_profile_predictions_loss: 266.9552 - logcount_predictions_loss: 0.3028 35/1081 [..............................] - ETA: 2:41 - loss: 270.0670 - logits_profile_predictions_loss: 266.8589 - logcount_predictions_loss: 0.3027 36/1081 [..............................] - ETA: 2:41 - loss: 269.9772 - logits_profile_predictions_loss: 266.7716 - logcount_predictions_loss: 0.3024 37/1081 [>.............................] - ETA: 2:41 - loss: 269.8981 - logits_profile_predictions_loss: 266.6949 - logcount_predictions_loss: 0.3022 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logits_profile_predictions_loss: 266.1634 - logcount_predictions_loss: 0.3007 45/1081 [>.............................] - ETA: 2:39 - loss: 269.2830 - logits_profile_predictions_loss: 266.0968 - logcount_predictions_loss: 0.3006 46/1081 [>.............................] - ETA: 2:39 - loss: 269.2185 - logits_profile_predictions_loss: 266.0337 - logcount_predictions_loss: 0.3005 47/1081 [>.............................] - ETA: 2:39 - loss: 269.1673 - logits_profile_predictions_loss: 265.9840 - logcount_predictions_loss: 0.3003 48/1081 [>.............................] - ETA: 2:39 - loss: 269.1142 - logits_profile_predictions_loss: 265.9322 - logcount_predictions_loss: 0.3002 49/1081 [>.............................] - ETA: 2:39 - loss: 269.0631 - logits_profile_predictions_loss: 265.8825 - logcount_predictions_loss: 0.3001 50/1081 [>.............................] - ETA: 2:39 - loss: 269.0169 - logits_profile_predictions_loss: 265.8377 - logcount_predictions_loss: 0.2999 51/1081 [>.............................] - ETA: 2:38 - loss: 268.9770 - logits_profile_predictions_loss: 265.7993 - logcount_predictions_loss: 0.2998 52/1081 [>.............................] - ETA: 2:38 - loss: 268.9432 - logits_profile_predictions_loss: 265.7669 - logcount_predictions_loss: 0.2996 53/1081 [>.............................] - ETA: 2:38 - loss: 268.8962 - logits_profile_predictions_loss: 265.7213 - logcount_predictions_loss: 0.2995 54/1081 [>.............................] - ETA: 2:38 - loss: 268.8602 - logits_profile_predictions_loss: 265.6868 - logcount_predictions_loss: 0.2994 55/1081 [>.............................] - ETA: 2:38 - loss: 268.8217 - logits_profile_predictions_loss: 265.6499 - logcount_predictions_loss: 0.2992 56/1081 [>.............................] - ETA: 2:38 - loss: 268.7813 - logits_profile_predictions_loss: 265.6110 - logcount_predictions_loss: 0.2991 57/1081 [>.............................] - ETA: 2:37 - loss: 268.7378 - logits_profile_predictions_loss: 265.5691 - logcount_predictions_loss: 0.2989 58/1081 [>.............................] - ETA: 2:37 - loss: 268.7010 - logits_profile_predictions_loss: 265.5337 - logcount_predictions_loss: 0.2988 59/1081 [>.............................] - ETA: 2:37 - loss: 268.6644 - logits_profile_predictions_loss: 265.4985 - logcount_predictions_loss: 0.2987 60/1081 [>.............................] - ETA: 2:37 - loss: 268.6286 - logits_profile_predictions_loss: 265.4642 - logcount_predictions_loss: 0.2985 61/1081 [>.............................] - ETA: 2:37 - loss: 268.5911 - logits_profile_predictions_loss: 265.4284 - logcount_predictions_loss: 0.2984 62/1081 [>.............................] - ETA: 2:37 - loss: 268.5546 - logits_profile_predictions_loss: 265.3934 - logcount_predictions_loss: 0.2982 63/1081 [>.............................] - ETA: 2:36 - loss: 268.5193 - logits_profile_predictions_loss: 265.3597 - logcount_predictions_loss: 0.2981 64/1081 [>.............................] - ETA: 2:36 - loss: 268.4834 - logits_profile_predictions_loss: 265.3254 - logcount_predictions_loss: 0.2979 65/1081 [>.............................] - ETA: 2:36 - loss: 268.4486 - logits_profile_predictions_loss: 265.2923 - logcount_predictions_loss: 0.2978 66/1081 [>.............................] - ETA: 2:36 - loss: 268.4136 - logits_profile_predictions_loss: 265.2591 - logcount_predictions_loss: 0.2976 67/1081 [>.............................] - ETA: 2:36 - loss: 268.3757 - logits_profile_predictions_loss: 265.2229 - logcount_predictions_loss: 0.2974 68/1081 [>.............................] - ETA: 2:36 - loss: 268.3412 - logits_profile_predictions_loss: 265.1899 - logcount_predictions_loss: 0.2973 69/1081 [>.............................] - ETA: 2:36 - loss: 268.3043 - logits_profile_predictions_loss: 265.1545 - logcount_predictions_loss: 0.2972 70/1081 [>.............................] - ETA: 2:35 - loss: 268.2633 - logits_profile_predictions_loss: 265.1150 - logcount_predictions_loss: 0.2970 71/1081 [>.............................] - ETA: 2:35 - loss: 268.2265 - logits_profile_predictions_loss: 265.0795 - logcount_predictions_loss: 0.2969 72/1081 [>.............................] - ETA: 2:35 - loss: 268.1960 - logits_profile_predictions_loss: 265.0504 - logcount_predictions_loss: 0.2968 73/1081 [=>............................] - ETA: 2:35 - loss: 268.1624 - logits_profile_predictions_loss: 265.0182 - logcount_predictions_loss: 0.2966 74/1081 [=>............................] - ETA: 2:35 - loss: 268.1372 - logits_profile_predictions_loss: 264.9945 - logcount_predictions_loss: 0.2965 75/1081 [=>............................] - ETA: 2:35 - loss: 268.1123 - logits_profile_predictions_loss: 264.9708 - logcount_predictions_loss: 0.2964 76/1081 [=>............................] - ETA: 2:34 - loss: 268.0851 - logits_profile_predictions_loss: 264.9448 - logcount_predictions_loss: 0.2963 77/1081 [=>............................] - ETA: 2:34 - loss: 268.0584 - logits_profile_predictions_loss: 264.9194 - logcount_predictions_loss: 0.2961 78/1081 [=>............................] - ETA: 2:34 - loss: 268.0326 - logits_profile_predictions_loss: 264.8946 - logcount_predictions_loss: 0.2960 79/1081 [=>............................] - ETA: 2:34 - loss: 268.0095 - logits_profile_predictions_loss: 264.8726 - logcount_predictions_loss: 0.2959 80/1081 [=>............................] - ETA: 2:34 - loss: 267.9838 - logits_profile_predictions_loss: 264.8479 - logcount_predictions_loss: 0.2958 81/1081 [=>............................] - ETA: 2:34 - loss: 267.9577 - logits_profile_predictions_loss: 264.8228 - logcount_predictions_loss: 0.2957 82/1081 [=>............................] - ETA: 2:33 - loss: 267.9303 - logits_profile_predictions_loss: 264.7963 - logcount_predictions_loss: 0.2957 83/1081 [=>............................] - ETA: 2:33 - loss: 267.9058 - logits_profile_predictions_loss: 264.7728 - logcount_predictions_loss: 0.2956 84/1081 [=>............................] - ETA: 2:33 - loss: 267.8847 - logits_profile_predictions_loss: 264.7525 - logcount_predictions_loss: 0.2955 85/1081 [=>............................] - ETA: 2:33 - loss: 267.8642 - logits_profile_predictions_loss: 264.7329 - logcount_predictions_loss: 0.2954 86/1081 [=>............................] - ETA: 2:33 - loss: 267.8476 - logits_profile_predictions_loss: 264.7172 - logcount_predictions_loss: 0.2953 87/1081 [=>............................] - ETA: 2:33 - loss: 267.8332 - logits_profile_predictions_loss: 264.7037 - logcount_predictions_loss: 0.2952 88/1081 [=>............................] - ETA: 2:33 - loss: 267.8174 - logits_profile_predictions_loss: 264.6886 - logcount_predictions_loss: 0.2952 89/1081 [=>............................] - ETA: 2:32 - loss: 267.7979 - logits_profile_predictions_loss: 264.6697 - logcount_predictions_loss: 0.2951 90/1081 [=>............................] - ETA: 2:32 - loss: 267.7772 - logits_profile_predictions_loss: 264.6498 - logcount_predictions_loss: 0.2950 91/1081 [=>............................] - ETA: 2:32 - loss: 267.7556 - logits_profile_predictions_loss: 264.6289 - logcount_predictions_loss: 0.2950 92/1081 [=>............................] - ETA: 2:32 - loss: 267.7330 - logits_profile_predictions_loss: 264.6068 - logcount_predictions_loss: 0.2949 93/1081 [=>............................] - ETA: 2:32 - loss: 267.7089 - logits_profile_predictions_loss: 264.5834 - logcount_predictions_loss: 0.2949 94/1081 [=>............................] - ETA: 2:32 - loss: 267.6878 - logits_profile_predictions_loss: 264.5629 - logcount_predictions_loss: 0.2948 95/1081 [=>............................] - ETA: 2:31 - loss: 267.6633 - logits_profile_predictions_loss: 264.5391 - logcount_predictions_loss: 0.2947 96/1081 [=>............................] - ETA: 2:31 - loss: 267.6368 - logits_profile_predictions_loss: 264.5131 - logcount_predictions_loss: 0.2947 97/1081 [=>............................] - ETA: 2:31 - 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[==>...........................] - ETA: 2:24 - loss: 267.0992 - logits_profile_predictions_loss: 263.9794 - logcount_predictions_loss: 0.2943 144/1081 [==>...........................] - ETA: 2:24 - loss: 267.1005 - logits_profile_predictions_loss: 263.9806 - logcount_predictions_loss: 0.2943 145/1081 [===>..........................] - ETA: 2:24 - loss: 267.1022 - logits_profile_predictions_loss: 263.9821 - logcount_predictions_loss: 0.2943 146/1081 [===>..........................] - ETA: 2:24 - loss: 267.1039 - logits_profile_predictions_loss: 263.9838 - logcount_predictions_loss: 0.2943 147/1081 [===>..........................] - ETA: 2:24 - loss: 267.1064 - logits_profile_predictions_loss: 263.9862 - logcount_predictions_loss: 0.2944 148/1081 [===>..........................] - ETA: 2:23 - loss: 267.1074 - logits_profile_predictions_loss: 263.9871 - logcount_predictions_loss: 0.2944 149/1081 [===>..........................] - ETA: 2:23 - loss: 267.1079 - 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[===>..........................] - ETA: 2:22 - loss: 267.1253 - logits_profile_predictions_loss: 264.0045 - logcount_predictions_loss: 0.2944 157/1081 [===>..........................] - ETA: 2:22 - loss: 267.1287 - logits_profile_predictions_loss: 264.0078 - logcount_predictions_loss: 0.2944 158/1081 [===>..........................] - ETA: 2:22 - loss: 267.1314 - logits_profile_predictions_loss: 264.0105 - logcount_predictions_loss: 0.2944 159/1081 [===>..........................] - ETA: 2:22 - loss: 267.1338 - logits_profile_predictions_loss: 264.0128 - logcount_predictions_loss: 0.2944 160/1081 [===>..........................] - ETA: 2:22 - loss: 267.1358 - logits_profile_predictions_loss: 264.0148 - logcount_predictions_loss: 0.2944 161/1081 [===>..........................] - ETA: 2:21 - loss: 267.1389 - logits_profile_predictions_loss: 264.0179 - logcount_predictions_loss: 0.2944 162/1081 [===>..........................] - ETA: 2:21 - loss: 267.1431 - 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[===>..........................] - ETA: 2:20 - loss: 267.1701 - logits_profile_predictions_loss: 264.0492 - logcount_predictions_loss: 0.2944 170/1081 [===>..........................] - ETA: 2:20 - loss: 267.1743 - logits_profile_predictions_loss: 264.0535 - logcount_predictions_loss: 0.2944 171/1081 [===>..........................] - ETA: 2:20 - loss: 267.1782 - logits_profile_predictions_loss: 264.0574 - logcount_predictions_loss: 0.2944 172/1081 [===>..........................] - ETA: 2:20 - loss: 267.1825 - logits_profile_predictions_loss: 264.0617 - logcount_predictions_loss: 0.2944 173/1081 [===>..........................] - ETA: 2:20 - loss: 267.1868 - logits_profile_predictions_loss: 264.0660 - logcount_predictions_loss: 0.2944 174/1081 [===>..........................] - ETA: 2:19 - loss: 267.1910 - logits_profile_predictions_loss: 264.0702 - logcount_predictions_loss: 0.2944 175/1081 [===>..........................] - ETA: 2:19 - loss: 267.1950 - 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[====>.........................] - ETA: 2:18 - loss: 267.2244 - logits_profile_predictions_loss: 264.1037 - logcount_predictions_loss: 0.2944 183/1081 [====>.........................] - ETA: 2:18 - loss: 267.2292 - logits_profile_predictions_loss: 264.1085 - logcount_predictions_loss: 0.2944 184/1081 [====>.........................] - ETA: 2:18 - loss: 267.2338 - logits_profile_predictions_loss: 264.1130 - logcount_predictions_loss: 0.2944 185/1081 [====>.........................] - ETA: 2:18 - loss: 267.2386 - logits_profile_predictions_loss: 264.1178 - logcount_predictions_loss: 0.2944 186/1081 [====>.........................] - ETA: 2:17 - loss: 267.2428 - logits_profile_predictions_loss: 264.1220 - logcount_predictions_loss: 0.2944 187/1081 [====>.........................] - ETA: 2:17 - loss: 267.2469 - logits_profile_predictions_loss: 264.1260 - logcount_predictions_loss: 0.2944 188/1081 [====>.........................] - ETA: 2:17 - loss: 267.2505 - 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[====>.........................] - ETA: 2:16 - loss: 267.2817 - logits_profile_predictions_loss: 264.1604 - logcount_predictions_loss: 0.2945 196/1081 [====>.........................] - ETA: 2:16 - loss: 267.2860 - logits_profile_predictions_loss: 264.1646 - logcount_predictions_loss: 0.2945 197/1081 [====>.........................] - ETA: 2:16 - loss: 267.2896 - logits_profile_predictions_loss: 264.1682 - logcount_predictions_loss: 0.2945 198/1081 [====>.........................] - ETA: 2:16 - loss: 267.2933 - logits_profile_predictions_loss: 264.1718 - logcount_predictions_loss: 0.2945 199/1081 [====>.........................] - ETA: 2:15 - loss: 267.2965 - logits_profile_predictions_loss: 264.1750 - logcount_predictions_loss: 0.2945 200/1081 [====>.........................] - ETA: 2:15 - loss: 267.2995 - logits_profile_predictions_loss: 264.1778 - logcount_predictions_loss: 0.2945 201/1081 [====>.........................] - ETA: 2:15 - loss: 267.3017 - 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[====>.........................] - ETA: 2:14 - loss: 267.3205 - logits_profile_predictions_loss: 264.1979 - logcount_predictions_loss: 0.2946 209/1081 [====>.........................] - ETA: 2:14 - loss: 267.3219 - logits_profile_predictions_loss: 264.1992 - logcount_predictions_loss: 0.2946 210/1081 [====>.........................] - ETA: 2:14 - loss: 267.3235 - logits_profile_predictions_loss: 264.2006 - logcount_predictions_loss: 0.2946 211/1081 [====>.........................] - ETA: 2:14 - loss: 267.3251 - logits_profile_predictions_loss: 264.2020 - logcount_predictions_loss: 0.2946 212/1081 [====>.........................] - ETA: 2:13 - loss: 267.3268 - logits_profile_predictions_loss: 264.2035 - logcount_predictions_loss: 0.2946 213/1081 [====>.........................] - ETA: 2:13 - loss: 267.3280 - logits_profile_predictions_loss: 264.2045 - logcount_predictions_loss: 0.2947 214/1081 [====>.........................] - ETA: 2:13 - loss: 267.3287 - 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logits_profile_predictions_loss: 264.6279 - logcount_predictions_loss: 0.2787 9/1081 [..............................] - ETA: 2:45 - loss: 267.0052 - logits_profile_predictions_loss: 264.0636 - logcount_predictions_loss: 0.2775 10/1081 [..............................] - ETA: 2:45 - loss: 266.6067 - logits_profile_predictions_loss: 263.6658 - logcount_predictions_loss: 0.2774 11/1081 [..............................] - ETA: 2:45 - loss: 266.1034 - logits_profile_predictions_loss: 263.1694 - logcount_predictions_loss: 0.2768 12/1081 [..............................] - ETA: 2:44 - loss: 265.8889 - logits_profile_predictions_loss: 262.9610 - logcount_predictions_loss: 0.2762 13/1081 [..............................] - ETA: 2:44 - loss: 265.6053 - logits_profile_predictions_loss: 262.6858 - logcount_predictions_loss: 0.2754 14/1081 [..............................] - ETA: 2:44 - loss: 265.3522 - logits_profile_predictions_loss: 262.4354 - logcount_predictions_loss: 0.2752 15/1081 [..............................] - ETA: 2:44 - loss: 265.0353 - logits_profile_predictions_loss: 262.1188 - logcount_predictions_loss: 0.2751 16/1081 [..............................] - ETA: 2:44 - loss: 264.9513 - logits_profile_predictions_loss: 262.0337 - logcount_predictions_loss: 0.2752 17/1081 [..............................] - ETA: 2:44 - loss: 264.8397 - logits_profile_predictions_loss: 261.9237 - logcount_predictions_loss: 0.2751 18/1081 [..............................] - ETA: 2:43 - loss: 264.7555 - logits_profile_predictions_loss: 261.8409 - logcount_predictions_loss: 0.2750 19/1081 [..............................] - ETA: 2:43 - loss: 264.6968 - logits_profile_predictions_loss: 261.7842 - logcount_predictions_loss: 0.2748 20/1081 [..............................] - ETA: 2:43 - loss: 264.6729 - logits_profile_predictions_loss: 261.7603 - logcount_predictions_loss: 0.2748 21/1081 [..............................] - ETA: 2:43 - loss: 264.6651 - logits_profile_predictions_loss: 261.7509 - logcount_predictions_loss: 0.2749 22/1081 [..............................] - ETA: 2:43 - loss: 264.6183 - logits_profile_predictions_loss: 261.7021 - logcount_predictions_loss: 0.2751 23/1081 [..............................] - ETA: 2:43 - loss: 264.6005 - logits_profile_predictions_loss: 261.6802 - logcount_predictions_loss: 0.2755 24/1081 [..............................] - ETA: 2:42 - loss: 264.5514 - logits_profile_predictions_loss: 261.6281 - logcount_predictions_loss: 0.2758 25/1081 [..............................] - ETA: 2:42 - loss: 264.5196 - logits_profile_predictions_loss: 261.5951 - logcount_predictions_loss: 0.2759 26/1081 [..............................] - ETA: 2:42 - loss: 264.5102 - logits_profile_predictions_loss: 261.5842 - logcount_predictions_loss: 0.2760 27/1081 [..............................] - ETA: 2:42 - loss: 264.5027 - logits_profile_predictions_loss: 261.5760 - logcount_predictions_loss: 0.2761 28/1081 [..............................] - ETA: 2:42 - loss: 264.4998 - logits_profile_predictions_loss: 261.5719 - logcount_predictions_loss: 0.2762 29/1081 [..............................] - ETA: 2:42 - loss: 264.4887 - logits_profile_predictions_loss: 261.5589 - logcount_predictions_loss: 0.2764 30/1081 [..............................] - ETA: 2:42 - loss: 264.5081 - logits_profile_predictions_loss: 261.5768 - logcount_predictions_loss: 0.2765 31/1081 [..............................] - ETA: 2:42 - loss: 264.5299 - logits_profile_predictions_loss: 261.5971 - logcount_predictions_loss: 0.2767 32/1081 [..............................] - ETA: 2:41 - loss: 264.5388 - logits_profile_predictions_loss: 261.6043 - logcount_predictions_loss: 0.2768 33/1081 [..............................] - ETA: 2:41 - loss: 264.5584 - logits_profile_predictions_loss: 261.6225 - logcount_predictions_loss: 0.2770 34/1081 [..............................] - ETA: 2:41 - loss: 264.5798 - logits_profile_predictions_loss: 261.6427 - logcount_predictions_loss: 0.2771 35/1081 [..............................] - ETA: 2:41 - loss: 264.5769 - logits_profile_predictions_loss: 261.6378 - logcount_predictions_loss: 0.2773 36/1081 [..............................] - ETA: 2:41 - loss: 264.5519 - logits_profile_predictions_loss: 261.6114 - logcount_predictions_loss: 0.2774 37/1081 [>.............................] - ETA: 2:41 - loss: 264.5363 - logits_profile_predictions_loss: 261.5937 - logcount_predictions_loss: 0.2776 38/1081 [>.............................] - ETA: 2:40 - loss: 264.5143 - logits_profile_predictions_loss: 261.5699 - logcount_predictions_loss: 0.2778 39/1081 [>.............................] - ETA: 2:40 - loss: 264.5047 - logits_profile_predictions_loss: 261.5581 - logcount_predictions_loss: 0.2780 40/1081 [>.............................] - ETA: 2:40 - loss: 264.4895 - logits_profile_predictions_loss: 261.5409 - logcount_predictions_loss: 0.2782 41/1081 [>.............................] - ETA: 2:40 - loss: 264.4879 - logits_profile_predictions_loss: 261.5375 - logcount_predictions_loss: 0.2783 42/1081 [>.............................] - ETA: 2:40 - loss: 264.4896 - logits_profile_predictions_loss: 261.5377 - logcount_predictions_loss: 0.2785 43/1081 [>.............................] - ETA: 2:40 - loss: 264.5023 - logits_profile_predictions_loss: 261.5490 - logcount_predictions_loss: 0.2786 44/1081 [>.............................] - ETA: 2:39 - loss: 264.5208 - logits_profile_predictions_loss: 261.5668 - logcount_predictions_loss: 0.2787 45/1081 [>.............................] - ETA: 2:39 - loss: 264.5436 - logits_profile_predictions_loss: 261.5891 - logcount_predictions_loss: 0.2787 46/1081 [>.............................] - ETA: 2:39 - loss: 264.5537 - logits_profile_predictions_loss: 261.5991 - logcount_predictions_loss: 0.2787 47/1081 [>.............................] - ETA: 2:39 - loss: 264.5565 - logits_profile_predictions_loss: 261.6020 - logcount_predictions_loss: 0.2787 48/1081 [>.............................] - ETA: 2:39 - loss: 264.5623 - logits_profile_predictions_loss: 261.6080 - logcount_predictions_loss: 0.2787 49/1081 [>.............................] - ETA: 2:39 - loss: 264.5609 - logits_profile_predictions_loss: 261.6064 - logcount_predictions_loss: 0.2787 50/1081 [>.............................] - ETA: 2:39 - loss: 264.5613 - logits_profile_predictions_loss: 261.6067 - logcount_predictions_loss: 0.2787 51/1081 [>.............................] - ETA: 2:38 - loss: 264.5629 - logits_profile_predictions_loss: 261.6081 - logcount_predictions_loss: 0.2788 52/1081 [>.............................] - ETA: 2:38 - loss: 264.5735 - logits_profile_predictions_loss: 261.6183 - logcount_predictions_loss: 0.2788 53/1081 [>.............................] - ETA: 2:38 - loss: 264.5854 - logits_profile_predictions_loss: 261.6298 - logcount_predictions_loss: 0.2788 54/1081 [>.............................] - ETA: 2:38 - loss: 264.5894 - logits_profile_predictions_loss: 261.6334 - logcount_predictions_loss: 0.2789 55/1081 [>.............................] - ETA: 2:38 - loss: 264.5947 - logits_profile_predictions_loss: 261.6383 - logcount_predictions_loss: 0.2789 56/1081 [>.............................] - ETA: 2:38 - loss: 264.5934 - logits_profile_predictions_loss: 261.6367 - logcount_predictions_loss: 0.2789 57/1081 [>.............................] - ETA: 2:37 - loss: 264.5867 - logits_profile_predictions_loss: 261.6299 - logcount_predictions_loss: 0.2789 58/1081 [>.............................] - ETA: 2:37 - loss: 264.5783 - logits_profile_predictions_loss: 261.6213 - logcount_predictions_loss: 0.2790 59/1081 [>.............................] - ETA: 2:37 - loss: 264.5741 - logits_profile_predictions_loss: 261.6169 - logcount_predictions_loss: 0.2790 60/1081 [>.............................] - ETA: 2:37 - loss: 264.5704 - logits_profile_predictions_loss: 261.6130 - logcount_predictions_loss: 0.2790 61/1081 [>.............................] - ETA: 2:37 - loss: 264.5629 - logits_profile_predictions_loss: 261.6052 - logcount_predictions_loss: 0.2790 62/1081 [>.............................] - ETA: 2:37 - loss: 264.5487 - logits_profile_predictions_loss: 261.5906 - logcount_predictions_loss: 0.2791 63/1081 [>.............................] - ETA: 2:36 - loss: 264.5374 - logits_profile_predictions_loss: 261.5790 - logcount_predictions_loss: 0.2791 64/1081 [>.............................] - ETA: 2:36 - loss: 264.5222 - logits_profile_predictions_loss: 261.5635 - logcount_predictions_loss: 0.2791 65/1081 [>.............................] - ETA: 2:36 - loss: 264.5077 - logits_profile_predictions_loss: 261.5488 - logcount_predictions_loss: 0.2791 66/1081 [>.............................] - ETA: 2:36 - loss: 264.4913 - logits_profile_predictions_loss: 261.5320 - logcount_predictions_loss: 0.2792 67/1081 [>.............................] - ETA: 2:36 - loss: 264.4747 - logits_profile_predictions_loss: 261.5152 - logcount_predictions_loss: 0.2792 68/1081 [>.............................] - ETA: 2:36 - loss: 264.4621 - logits_profile_predictions_loss: 261.5023 - logcount_predictions_loss: 0.2792 69/1081 [>.............................] - ETA: 2:36 - loss: 264.4519 - logits_profile_predictions_loss: 261.4918 - logcount_predictions_loss: 0.2793 70/1081 [>.............................] - ETA: 2:35 - loss: 264.4449 - logits_profile_predictions_loss: 261.4847 - logcount_predictions_loss: 0.2793 71/1081 [>.............................] - ETA: 2:35 - loss: 264.4411 - logits_profile_predictions_loss: 261.4808 - logcount_predictions_loss: 0.2793 72/1081 [>.............................] - ETA: 2:35 - loss: 264.4427 - logits_profile_predictions_loss: 261.4825 - logcount_predictions_loss: 0.2793 73/1081 [=>............................] - ETA: 2:35 - loss: 264.4428 - logits_profile_predictions_loss: 261.4827 - logcount_predictions_loss: 0.2793 74/1081 [=>............................] - ETA: 2:35 - loss: 264.4431 - logits_profile_predictions_loss: 261.4829 - logcount_predictions_loss: 0.2793 75/1081 [=>............................] - ETA: 2:35 - loss: 264.4439 - logits_profile_predictions_loss: 261.4837 - logcount_predictions_loss: 0.2793 76/1081 [=>............................] - ETA: 2:34 - loss: 264.4425 - logits_profile_predictions_loss: 261.4821 - logcount_predictions_loss: 0.2793 77/1081 [=>............................] - ETA: 2:34 - loss: 264.4390 - logits_profile_predictions_loss: 261.4786 - logcount_predictions_loss: 0.2793 78/1081 [=>............................] - ETA: 2:34 - loss: 264.4376 - logits_profile_predictions_loss: 261.4771 - logcount_predictions_loss: 0.2793 79/1081 [=>............................] - ETA: 2:34 - loss: 264.4361 - logits_profile_predictions_loss: 261.4754 - logcount_predictions_loss: 0.2793 80/1081 [=>............................] - ETA: 2:34 - loss: 264.4360 - logits_profile_predictions_loss: 261.4752 - logcount_predictions_loss: 0.2793 81/1081 [=>............................] - ETA: 2:34 - loss: 264.4364 - logits_profile_predictions_loss: 261.4754 - logcount_predictions_loss: 0.2793 82/1081 [=>............................] - ETA: 2:34 - loss: 264.4377 - logits_profile_predictions_loss: 261.4765 - logcount_predictions_loss: 0.2794 83/1081 [=>............................] - ETA: 2:33 - loss: 264.4371 - logits_profile_predictions_loss: 261.4759 - logcount_predictions_loss: 0.2794 84/1081 [=>............................] - ETA: 2:33 - loss: 264.4346 - logits_profile_predictions_loss: 261.4734 - logcount_predictions_loss: 0.2794 85/1081 [=>............................] - ETA: 2:33 - loss: 264.4360 - logits_profile_predictions_loss: 261.4748 - logcount_predictions_loss: 0.2794 86/1081 [=>............................] - ETA: 2:33 - loss: 264.4408 - logits_profile_predictions_loss: 261.4796 - logcount_predictions_loss: 0.2794 87/1081 [=>............................] - ETA: 2:33 - loss: 264.4466 - logits_profile_predictions_loss: 261.4855 - logcount_predictions_loss: 0.2794 88/1081 [=>............................] - ETA: 2:33 - loss: 264.4528 - logits_profile_predictions_loss: 261.4919 - logcount_predictions_loss: 0.2793 89/1081 [=>............................] - ETA: 2:32 - loss: 264.4579 - logits_profile_predictions_loss: 261.4972 - logcount_predictions_loss: 0.2793 90/1081 [=>............................] - ETA: 2:32 - loss: 264.4617 - logits_profile_predictions_loss: 261.5013 - logcount_predictions_loss: 0.2793 91/1081 [=>............................] - ETA: 2:32 - loss: 264.4669 - logits_profile_predictions_loss: 261.5068 - logcount_predictions_loss: 0.2793 92/1081 [=>............................] - ETA: 2:32 - loss: 264.4734 - logits_profile_predictions_loss: 261.5136 - logcount_predictions_loss: 0.2792 93/1081 [=>............................] - ETA: 2:32 - loss: 264.4789 - logits_profile_predictions_loss: 261.5194 - logcount_predictions_loss: 0.2792 94/1081 [=>............................] - ETA: 2:32 - loss: 264.4833 - logits_profile_predictions_loss: 261.5240 - logcount_predictions_loss: 0.2792 95/1081 [=>............................] - ETA: 2:32 - loss: 264.4851 - logits_profile_predictions_loss: 261.5260 - logcount_predictions_loss: 0.2792 96/1081 [=>............................] - ETA: 2:31 - loss: 264.4829 - logits_profile_predictions_loss: 261.5240 - logcount_predictions_loss: 0.2791 97/1081 [=>............................] - ETA: 2:31 - loss: 264.4792 - logits_profile_predictions_loss: 261.5206 - logcount_predictions_loss: 0.2791 98/1081 [=>............................] - ETA: 2:31 - loss: 264.4738 - logits_profile_predictions_loss: 261.5155 - logcount_predictions_loss: 0.2791 99/1081 [=>............................] - ETA: 2:31 - loss: 264.4684 - logits_profile_predictions_loss: 261.5105 - logcount_predictions_loss: 0.2790 100/1081 [=>............................] - ETA: 2:31 - loss: 264.4662 - logits_profile_predictions_loss: 261.5085 - logcount_predictions_loss: 0.2790 101/1081 [=>............................] - ETA: 2:31 - loss: 264.4654 - logits_profile_predictions_loss: 261.5079 - logcount_predictions_loss: 0.2790 102/1081 [=>............................] - ETA: 2:31 - loss: 264.4646 - logits_profile_predictions_loss: 261.5073 - logcount_predictions_loss: 0.2790 103/1081 [=>............................] - ETA: 2:30 - loss: 264.4627 - logits_profile_predictions_loss: 261.5056 - logcount_predictions_loss: 0.2790 104/1081 [=>............................] - ETA: 2:30 - loss: 264.4599 - logits_profile_predictions_loss: 261.5030 - logcount_predictions_loss: 0.2790 105/1081 [=>............................] - ETA: 2:30 - loss: 264.4577 - logits_profile_predictions_loss: 261.5010 - logcount_predictions_loss: 0.2789 106/1081 [=>............................] - ETA: 2:30 - loss: 264.4526 - logits_profile_predictions_loss: 261.4961 - logcount_predictions_loss: 0.2789 107/1081 [=>............................] - ETA: 2:30 - loss: 264.4471 - logits_profile_predictions_loss: 261.4908 - logcount_predictions_loss: 0.2789 108/1081 [=>............................] - ETA: 2:30 - loss: 264.4396 - logits_profile_predictions_loss: 261.4834 - logcount_predictions_loss: 0.2789 109/1081 [==>...........................] - ETA: 2:29 - loss: 264.4342 - logits_profile_predictions_loss: 261.4780 - logcount_predictions_loss: 0.2789 110/1081 [==>...........................] - ETA: 2:29 - loss: 264.4264 - logits_profile_predictions_loss: 261.4702 - logcount_predictions_loss: 0.2789 111/1081 [==>...........................] - ETA: 2:29 - loss: 264.4179 - logits_profile_predictions_loss: 261.4615 - logcount_predictions_loss: 0.2789 112/1081 [==>...........................] - ETA: 2:29 - loss: 264.4093 - logits_profile_predictions_loss: 261.4528 - logcount_predictions_loss: 0.2789 113/1081 [==>...........................] - ETA: 2:29 - loss: 264.4021 - logits_profile_predictions_loss: 261.4454 - logcount_predictions_loss: 0.2789 114/1081 [==>...........................] - ETA: 2:29 - loss: 264.3963 - logits_profile_predictions_loss: 261.4394 - logcount_predictions_loss: 0.2790 115/1081 [==>...........................] - ETA: 2:29 - loss: 264.3901 - logits_profile_predictions_loss: 261.4330 - logcount_predictions_loss: 0.2790 116/1081 [==>...........................] - ETA: 2:28 - loss: 264.3867 - logits_profile_predictions_loss: 261.4294 - logcount_predictions_loss: 0.2790 117/1081 [==>...........................] - ETA: 2:28 - loss: 264.3851 - logits_profile_predictions_loss: 261.4276 - logcount_predictions_loss: 0.2790 118/1081 [==>...........................] - ETA: 2:28 - loss: 264.3831 - logits_profile_predictions_loss: 261.4254 - logcount_predictions_loss: 0.2790 119/1081 [==>...........................] - ETA: 2:28 - loss: 264.3828 - logits_profile_predictions_loss: 261.4248 - logcount_predictions_loss: 0.2791 120/1081 [==>...........................] - ETA: 2:28 - loss: 264.3809 - logits_profile_predictions_loss: 261.4227 - logcount_predictions_loss: 0.2791 121/1081 [==>...........................] - ETA: 2:28 - loss: 264.3799 - logits_profile_predictions_loss: 261.4216 - logcount_predictions_loss: 0.2791 122/1081 [==>...........................] - ETA: 2:27 - loss: 264.3793 - logits_profile_predictions_loss: 261.4209 - logcount_predictions_loss: 0.2791 123/1081 [==>...........................] - ETA: 2:27 - loss: 264.3784 - logits_profile_predictions_loss: 261.4198 - logcount_predictions_loss: 0.2791 124/1081 [==>...........................] - ETA: 2:27 - loss: 264.3755 - logits_profile_predictions_loss: 261.4167 - logcount_predictions_loss: 0.2791 125/1081 [==>...........................] - ETA: 2:27 - loss: 264.3732 - logits_profile_predictions_loss: 261.4141 - logcount_predictions_loss: 0.2792 126/1081 [==>...........................] - ETA: 2:27 - loss: 264.3711 - logits_profile_predictions_loss: 261.4117 - logcount_predictions_loss: 0.2792 127/1081 [==>...........................] - ETA: 2:27 - loss: 264.3677 - logits_profile_predictions_loss: 261.4081 - logcount_predictions_loss: 0.2792 128/1081 [==>...........................] - ETA: 2:27 - loss: 264.3650 - logits_profile_predictions_loss: 261.4052 - logcount_predictions_loss: 0.2792 129/1081 [==>...........................] - ETA: 2:26 - loss: 264.3630 - logits_profile_predictions_loss: 261.4029 - logcount_predictions_loss: 0.2793 130/1081 [==>...........................] - ETA: 2:26 - loss: 264.3609 - logits_profile_predictions_loss: 261.4006 - logcount_predictions_loss: 0.2793 131/1081 [==>...........................] - ETA: 2:26 - loss: 264.3578 - logits_profile_predictions_loss: 261.3972 - logcount_predictions_loss: 0.2793 132/1081 [==>...........................] - ETA: 2:26 - loss: 264.3546 - logits_profile_predictions_loss: 261.3938 - logcount_predictions_loss: 0.2793 133/1081 [==>...........................] - ETA: 2:26 - loss: 264.3516 - logits_profile_predictions_loss: 261.3905 - logcount_predictions_loss: 0.2794 134/1081 [==>...........................] - ETA: 2:26 - loss: 264.3481 - logits_profile_predictions_loss: 261.3868 - logcount_predictions_loss: 0.2794 135/1081 [==>...........................] - ETA: 2:25 - loss: 264.3445 - logits_profile_predictions_loss: 261.3830 - logcount_predictions_loss: 0.2794 136/1081 [==>...........................] - ETA: 2:25 - loss: 264.3409 - logits_profile_predictions_loss: 261.3792 - logcount_predictions_loss: 0.2794 137/1081 [==>...........................] - ETA: 2:25 - loss: 264.3386 - logits_profile_predictions_loss: 261.3768 - logcount_predictions_loss: 0.2794 138/1081 [==>...........................] - ETA: 2:25 - loss: 264.3376 - logits_profile_predictions_loss: 261.3757 - logcount_predictions_loss: 0.2794 139/1081 [==>...........................] - ETA: 2:25 - loss: 264.3361 - logits_profile_predictions_loss: 261.3740 - logcount_predictions_loss: 0.2794 140/1081 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[=====>........................] - ETA: 2:13 - loss: 264.4661 - logits_profile_predictions_loss: 261.5035 - logcount_predictions_loss: 0.2795 219/1081 [=====>........................] - ETA: 2:12 - loss: 264.4683 - logits_profile_predictions_loss: 261.5058 - logcount_predictions_loss: 0.2795 220/1081 [=====>........................] - ETA: 2:12 - loss: 264.4706 - logits_profile_predictions_loss: 261.5082 - logcount_predictions_loss: 0.2795 221/1081 [=====>........................] - ETA: 2:12 - loss: 264.4732 - logits_profile_predictions_loss: 261.5108 - logcount_predictions_loss: 0.2795 222/1081 [=====>........................] - ETA: 2:12 - loss: 264.4757 - logits_profile_predictions_loss: 261.5135 - logcount_predictions_loss: 0.2795 223/1081 [=====>........................] - ETA: 2:12 - loss: 264.4784 - logits_profile_predictions_loss: 261.5162 - logcount_predictions_loss: 0.2794 224/1081 [=====>........................] - ETA: 2:12 - loss: 264.4813 - 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[=====>........................] - ETA: 2:11 - loss: 264.5041 - logits_profile_predictions_loss: 261.5425 - logcount_predictions_loss: 0.2794 232/1081 [=====>........................] - ETA: 2:10 - loss: 264.5073 - logits_profile_predictions_loss: 261.5458 - logcount_predictions_loss: 0.2794 233/1081 [=====>........................] - ETA: 2:10 - loss: 264.5103 - logits_profile_predictions_loss: 261.5490 - logcount_predictions_loss: 0.2794 234/1081 [=====>........................] - ETA: 2:10 - loss: 264.5131 - logits_profile_predictions_loss: 261.5519 - logcount_predictions_loss: 0.2794 235/1081 [=====>........................] - ETA: 2:10 - loss: 264.5159 - logits_profile_predictions_loss: 261.5548 - logcount_predictions_loss: 0.2793 236/1081 [=====>........................] - ETA: 2:10 - loss: 264.5192 - logits_profile_predictions_loss: 261.5582 - logcount_predictions_loss: 0.2793 237/1081 [=====>........................] - ETA: 2:10 - loss: 264.5223 - 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[=====>........................] - ETA: 2:09 - loss: 264.5446 - logits_profile_predictions_loss: 261.5846 - logcount_predictions_loss: 0.2792 245/1081 [=====>........................] - ETA: 2:08 - loss: 264.5473 - logits_profile_predictions_loss: 261.5873 - logcount_predictions_loss: 0.2792 246/1081 [=====>........................] - ETA: 2:08 - loss: 264.5498 - logits_profile_predictions_loss: 261.5900 - logcount_predictions_loss: 0.2792 247/1081 [=====>........................] - ETA: 2:08 - loss: 264.5525 - logits_profile_predictions_loss: 261.5927 - logcount_predictions_loss: 0.2792 248/1081 [=====>........................] - ETA: 2:08 - loss: 264.5555 - logits_profile_predictions_loss: 261.5957 - logcount_predictions_loss: 0.2792 249/1081 [=====>........................] - ETA: 2:08 - loss: 264.5584 - logits_profile_predictions_loss: 261.5988 - logcount_predictions_loss: 0.2792 250/1081 [=====>........................] - ETA: 2:08 - loss: 264.5616 - 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[======>.......................] - ETA: 2:07 - loss: 264.5803 - logits_profile_predictions_loss: 261.6213 - logcount_predictions_loss: 0.2792 258/1081 [======>.......................] - ETA: 2:06 - loss: 264.5828 - logits_profile_predictions_loss: 261.6238 - logcount_predictions_loss: 0.2791 259/1081 [======>.......................] - ETA: 2:06 - loss: 264.5853 - logits_profile_predictions_loss: 261.6264 - logcount_predictions_loss: 0.2791 260/1081 [======>.......................] - ETA: 2:06 - loss: 264.5877 - logits_profile_predictions_loss: 261.6289 - logcount_predictions_loss: 0.2791 261/1081 [======>.......................] - ETA: 2:06 - loss: 264.5901 - logits_profile_predictions_loss: 261.6314 - logcount_predictions_loss: 0.2791 262/1081 [======>.......................] - ETA: 2:06 - loss: 264.5923 - logits_profile_predictions_loss: 261.6337 - logcount_predictions_loss: 0.2791 263/1081 [======>.......................] - ETA: 2:06 - loss: 264.5943 - 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1046/1081 [============================>.] - ETA: 5s - loss: 261.5328 - logits_profile_predictions_loss: 258.7521 - logcount_predictions_loss: 0.2623 1047/1081 [============================>.] - ETA: 5s - loss: 261.5327 - logits_profile_predictions_loss: 258.7521 - logcount_predictions_loss: 0.2623 1048/1081 [============================>.] - ETA: 5s - loss: 261.5326 - logits_profile_predictions_loss: 258.7520 - logcount_predictions_loss: 0.2623 1049/1081 [============================>.] - ETA: 4s - loss: 261.5325 - logits_profile_predictions_loss: 258.7520 - logcount_predictions_loss: 0.2623 1050/1081 [============================>.] - ETA: 4s - loss: 261.5324 - logits_profile_predictions_loss: 258.7519 - logcount_predictions_loss: 0.2623 1051/1081 [============================>.] - ETA: 4s - loss: 261.5322 - logits_profile_predictions_loss: 258.7518 - logcount_predictions_loss: 0.2623 1052/1081 [============================>.] - ETA: 4s - loss: 261.5321 - logits_profile_predictions_loss: 258.7518 - logcount_predictions_loss: 0.2623 1053/1081 [============================>.] - ETA: 4s - loss: 261.5320 - logits_profile_predictions_loss: 258.7517 - logcount_predictions_loss: 0.2623 1054/1081 [============================>.] - ETA: 4s - loss: 261.5319 - logits_profile_predictions_loss: 258.7517 - logcount_predictions_loss: 0.2623 1055/1081 [============================>.] - ETA: 4s - loss: 261.5318 - logits_profile_predictions_loss: 258.7516 - logcount_predictions_loss: 0.2623 1056/1081 [============================>.] - ETA: 3s - loss: 261.5317 - logits_profile_predictions_loss: 258.7515 - logcount_predictions_loss: 0.2623 1057/1081 [============================>.] - ETA: 3s - loss: 261.5316 - logits_profile_predictions_loss: 258.7514 - logcount_predictions_loss: 0.2623 1058/1081 [============================>.] - ETA: 3s - loss: 261.5315 - logits_profile_predictions_loss: 258.7514 - logcount_predictions_loss: 0.2623 1059/1081 [============================>.] - ETA: 3s - loss: 261.5314 - logits_profile_predictions_loss: 258.7513 - logcount_predictions_loss: 0.2623 1060/1081 [============================>.] - ETA: 3s - loss: 261.5313 - logits_profile_predictions_loss: 258.7513 - logcount_predictions_loss: 0.2623 1061/1081 [============================>.] - ETA: 3s - loss: 261.5312 - logits_profile_predictions_loss: 258.7513 - logcount_predictions_loss: 0.2623 1062/1081 [============================>.] - ETA: 2s - loss: 261.5312 - logits_profile_predictions_loss: 258.7512 - logcount_predictions_loss: 0.2623 1063/1081 [============================>.] - ETA: 2s - loss: 261.5311 - logits_profile_predictions_loss: 258.7512 - logcount_predictions_loss: 0.2623 1064/1081 [============================>.] - ETA: 2s - loss: 261.5310 - logits_profile_predictions_loss: 258.7511 - logcount_predictions_loss: 0.2623 1065/1081 [============================>.] - ETA: 2s - loss: 261.5309 - logits_profile_predictions_loss: 258.7511 - logcount_predictions_loss: 0.2623 1066/1081 [============================>.] - ETA: 2s - loss: 261.5308 - logits_profile_predictions_loss: 258.7510 - logcount_predictions_loss: 0.2623 1067/1081 [============================>.] - ETA: 2s - loss: 261.5307 - logits_profile_predictions_loss: 258.7509 - logcount_predictions_loss: 0.2622 1068/1081 [============================>.] - ETA: 2s - loss: 261.5306 - logits_profile_predictions_loss: 258.7509 - logcount_predictions_loss: 0.2622 1069/1081 [============================>.] - ETA: 1s - loss: 261.5305 - logits_profile_predictions_loss: 258.7508 - logcount_predictions_loss: 0.2622 1070/1081 [============================>.] - ETA: 1s - loss: 261.5304 - logits_profile_predictions_loss: 258.7508 - logcount_predictions_loss: 0.2622 1071/1081 [============================>.] - ETA: 1s - loss: 261.5303 - logits_profile_predictions_loss: 258.7507 - logcount_predictions_loss: 0.2622 1072/1081 [============================>.] - ETA: 1s - loss: 261.5302 - logits_profile_predictions_loss: 258.7507 - logcount_predictions_loss: 0.2622 1073/1081 [============================>.] - ETA: 1s - loss: 261.5301 - logits_profile_predictions_loss: 258.7506 - logcount_predictions_loss: 0.2622 1074/1081 [============================>.] - ETA: 1s - loss: 261.5300 - logits_profile_predictions_loss: 258.7506 - logcount_predictions_loss: 0.2622 1075/1081 [============================>.] - ETA: 0s - loss: 261.5299 - logits_profile_predictions_loss: 258.7505 - logcount_predictions_loss: 0.2622 1076/1081 [============================>.] - ETA: 0s - loss: 261.5298 - logits_profile_predictions_loss: 258.7505 - logcount_predictions_loss: 0.2622 1077/1081 [============================>.] - ETA: 0s - loss: 261.5297 - logits_profile_predictions_loss: 258.7504 - logcount_predictions_loss: 0.2622 1078/1081 [============================>.] - ETA: 0s - loss: 261.5297 - logits_profile_predictions_loss: 258.7504 - logcount_predictions_loss: 0.2622 1079/1081 [============================>.] - ETA: 0s - loss: 261.5296 - logits_profile_predictions_loss: 258.7503 - logcount_predictions_loss: 0.2622 1080/1081 [============================>.] - ETA: 0s - loss: 261.5295 - logits_profile_predictions_loss: 258.7503 - logcount_predictions_loss: 0.2622 1081/1081 [==============================] - ETA: 0s - loss: 261.5294 - logits_profile_predictions_loss: 258.7503 - logcount_predictions_loss: 0.2622 1081/1081 [==============================] - 174s 161ms/step - loss: 261.5293 - logits_profile_predictions_loss: 258.7502 - logcount_predictions_loss: 0.2622 - val_loss: 284.0908 - val_logits_profile_predictions_loss: 280.8304 - val_logcount_predictions_loss: 0.3076 + +Epoch 00011: val_loss did not improve from 281.85043 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-03-25_22-25-18: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(19338, 10) +loading nonpeaks... +got split:test for bed regions:(19337, 10) +0/152 +100/152 +2022-03-25_22-27-49: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(19338, 10) +loading nonpeaks... +got split:test for bed regions:(19337, 10) +0/152 +100/152 +2022-03-25_22-30-09: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(19338, 10) +loading nonpeaks... +got split:test for bed regions:(19337, 10) +0/152 +100/152 +2022-03-25_22-31-57: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints +2022-03-25_22-31-57: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/20 [>.............................] - ETA: 2:31 3/20 [===>..........................] - ETA: 5s  4/20 [=====>........................] - ETA: 7s 5/20 [======>.......................] - ETA: 7s 6/20 [========>.....................] - ETA: 7s 7/20 [=========>....................] - ETA: 7s 8/20 [===========>..................] - ETA: 6s 9/20 [============>.................] - ETA: 6s 10/20 [==============>...............] - ETA: 5s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 4s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 24s 825ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step + 1/20 [>.............................] - ETA: 3s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 680ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 680ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 11s 3/20 [===>..........................] - ETA: 11s 4/20 [=====>........................] - ETA: 10s 5/20 [======>.......................] - ETA: 9s  6/20 [========>.....................] - ETA: 9s 7/20 [=========>....................] - ETA: 8s 8/20 [===========>..................] - ETA: 7s 9/20 [============>.................] - ETA: 7s 10/20 [==============>...............] - ETA: 6s 11/20 [===============>..............] - ETA: 5s 12/20 [=================>............] - ETA: 5s 13/20 [==================>...........] - ETA: 4s 14/20 [====================>.........] - ETA: 3s 15/20 [=====================>........] - ETA: 3s 16/20 [=======================>......] - ETA: 2s 17/20 [========================>.....] - ETA: 1s 18/20 [==========================>...] - ETA: 1s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 13s 681ms/step +Saving marginal footprints +2022-03-25_22-34-45: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints +2022-03-25_22-34-45: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "functional_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/20 [>.............................] - ETA: 1:24 3/20 [===>..........................] - ETA: 0s  4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 6s 85ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 1s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 62ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 1s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 62ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 63ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 1s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step + 1/20 [>.............................] - ETA: 0s 2/20 [==>...........................] - ETA: 1s 3/20 [===>..........................] - ETA: 0s 4/20 [=====>........................] - ETA: 0s 5/20 [======>.......................] - ETA: 0s 6/20 [========>.....................] - ETA: 0s 7/20 [=========>....................] - ETA: 0s 8/20 [===========>..................] - ETA: 0s 9/20 [============>.................] - ETA: 0s 10/20 [==============>...............] - ETA: 0s 11/20 [===============>..............] - ETA: 0s 12/20 [=================>............] - ETA: 0s 13/20 [==================>...........] - ETA: 0s 14/20 [====================>.........] - ETA: 0s 15/20 [=====================>........] - ETA: 0s 16/20 [=======================>......] - ETA: 0s 17/20 [========================>.....] - ETA: 0s 18/20 [==========================>...] - ETA: 0s 19/20 [===========================>..] - ETA: 0s 20/20 [==============================] - ETA: 0s 20/20 [==============================] - 1s 61ms/step +Saving marginal footprints diff --git a/fold_0/model.bias_scaled.fold_0.ENCSR823ZCR.h5 b/fold_0/model.bias_scaled.fold_0.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..aa5888309f11ceddacadb9c32ae9c4dae358fbd1 --- /dev/null +++ b/fold_0/model.bias_scaled.fold_0.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f6ada35de2fefa064d6afc488f71ae209755c971f216e853972d88d9dfd86f +size 2688440 diff --git a/fold_0/model.bias_scaled.fold_0.ENCSR823ZCR.tar b/fold_0/model.bias_scaled.fold_0.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..b5d1daa1e272517b4e0ec526bdc5efc56aee759b --- /dev/null +++ b/fold_0/model.bias_scaled.fold_0.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:82b6108eae3b414ddcf606145b6fee62ddac2aa0a5d3f34b59d3c04c435069e0 +size 1208320 diff --git a/fold_0/model.chrombpnet.fold_0.ENCSR823ZCR.h5 b/fold_0/model.chrombpnet.fold_0.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..2a1e7e8bacccc73944a53ebdedfc66a14541c191 --- /dev/null +++ b/fold_0/model.chrombpnet.fold_0.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a40adf2168c55abba3e8f083f02de954a210be1f832109e0a6241df57bbdb324 +size 26448016 diff --git a/fold_0/model.chrombpnet.fold_0.ENCSR823ZCR.tar b/fold_0/model.chrombpnet.fold_0.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..0f63881ec7d51fdd55cd8db462eddf423001e588 --- /dev/null +++ b/fold_0/model.chrombpnet.fold_0.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7bf3b8fab46e4132bf0581b4bba6fb0258d1edd86b2906dde8551248ccd778c +size 27617280 diff --git a/fold_0/model.chrombpnet_nobias.fold_0.ENCSR823ZCR.h5 b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..8394c412a8924ca727d96aab781fd4f6578aecff --- /dev/null +++ b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:60b2c8e367e2f6da0694ccdff7e5a2fb693f3f411f933739f383c0c612cedc00 +size 25583536 diff --git a/fold_0/model.chrombpnet_nobias.fold_0.ENCSR823ZCR.tar b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..511e7b1703cc4c117bab5e63b01ec12e8c2e79fe --- /dev/null +++ b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e5df389e1d0a1a30a76ec7662e5683bb946790516a158d6d1bedf8405c9ca9d6 +size 26081280 diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.args.json b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.args.json new file mode 100644 index 0000000000000000000000000000000000000000..06928e522361748f5c5fd0139899e977be00e42d --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.batch_loss.tsv b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..41112f837082625c1186c4b5bae625eadfc73c85 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.batch_loss.tsv @@ -0,0 +1,10571 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 1.9216574430465698 306.5489196777344 285.9871826171875 None None None +0 1 193.8040771484375 2343.579833984375 269.87628173828125 None None None +0 2 129.9126739501953 1665.2440185546875 275.17852783203125 None None None +0 3 97.8983154296875 1319.069580078125 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257.5176696777344 254.81759643554688 None None None +9 951 0.25236913561820984 257.5083312988281 254.8079833984375 None None None +9 952 0.2523210942745209 257.49200439453125 254.79214477539062 None None None +9 953 0.2523075342178345 257.505859375 254.80615234375 None None None +9 954 0.252345472574234 257.5382080078125 254.8380889892578 None None None +9 955 0.2523186206817627 257.55322265625 254.8533935546875 None None None +9 956 0.2523021996021271 257.5690612792969 254.86940002441406 None None None +9 957 0.25238853693008423 257.5793762207031 254.87879943847656 None None None +9 958 0.25238338112831116 257.5804138183594 254.8798828125 None None None +9 959 0.2524365186691284 257.5911560058594 254.89004516601562 None None None +9 960 0.25235942006111145 257.59686279296875 254.8966064453125 None None None +9 961 0.2523449957370758 257.62493896484375 254.92481994628906 None None None +9 962 0.2523688077926636 257.6316223144531 254.93125915527344 None None None +9 963 0.25234293937683105 257.6313781738281 254.93128967285156 None None None +9 964 0.2523583471775055 257.6375427246094 254.93727111816406 None None None +9 965 0.2524434030056 257.5997314453125 254.8985595703125 None None None +9 966 0.2524264454841614 257.5848693847656 254.88388061523438 None None None +9 967 0.2523275911808014 257.5692138671875 254.86927795410156 None None None +9 968 0.25231191515922546 257.5526123046875 254.8528289794922 None None None +9 969 0.2524414360523224 257.5821228027344 254.88092041015625 None None None +9 970 0.25243282318115234 257.5919494628906 254.890869140625 None None None +9 971 0.25254347920417786 257.577392578125 254.8751220703125 None None None +9 972 0.25264155864715576 257.568359375 254.86505126953125 None None None +9 973 0.25258171558380127 257.5736389160156 254.87095642089844 None None None +9 974 0.25255751609802246 257.5708312988281 254.868408203125 None None None +9 975 0.2526114881038666 257.5995178222656 254.89651489257812 None None None 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None None None +9 989 0.25262048840522766 257.6025695800781 254.89947509765625 None None None +9 990 0.2526451051235199 257.5990905761719 254.89576721191406 None None None +9 991 0.2525656521320343 257.5909423828125 254.88844299316406 None None None +9 992 0.25260624289512634 257.58251953125 254.87960815429688 None None None +9 993 0.25261950492858887 257.5728759765625 254.86981201171875 None None None +9 994 0.2526613771915436 257.596435546875 254.89291381835938 None None None +9 995 0.252698689699173 257.595947265625 254.89202880859375 None None None +9 996 0.2528049051761627 257.61260986328125 254.9075469970703 None None None +9 997 0.25278934836387634 257.5942077636719 254.88929748535156 None None None +9 998 0.25283682346343994 257.57275390625 254.86734008789062 None None None +9 999 0.25284916162490845 257.5876159667969 254.88204956054688 None None None +9 1000 0.2529032230377197 257.589599609375 254.8834686279297 None None None +9 1001 0.2528367042541504 257.6130676269531 254.90765380859375 None None None +9 1002 0.2527996003627777 257.641845703125 254.9368133544922 None None None +9 1003 0.2528253197669983 257.6400451660156 254.9347381591797 None None None +9 1004 0.2527616322040558 257.6541748046875 254.94955444335938 None None None +9 1005 0.25275886058807373 257.6422119140625 254.93763732910156 None None None +9 1006 0.2527458071708679 257.6336364746094 254.92919921875 None None None +9 1007 0.25264960527420044 257.6069030761719 254.90347290039062 None None None +9 1008 0.2526891529560089 257.6083984375 254.90457153320312 None None None +9 1009 0.2526131868362427 257.56170654296875 254.8586883544922 None None None +9 1010 0.25261417031288147 257.5819091796875 254.87889099121094 None None None +9 1011 0.25253617763519287 257.5791931152344 254.87701416015625 None None None +9 1012 0.2525407671928406 257.58685302734375 254.8846435546875 None None None +9 1013 0.2524762451648712 257.5828857421875 254.88136291503906 None None None +9 1014 0.25248536467552185 257.5819091796875 254.88027954101562 None None None +9 1015 0.2525060772895813 257.5556335449219 254.85379028320312 None None None +9 1016 0.2524759769439697 257.5537414550781 254.85220336914062 None None None +9 1017 0.25246405601501465 257.5799865722656 254.8785858154297 None None None +9 1018 0.25244805216789246 257.5686340332031 254.86741638183594 None None None +9 1019 0.25243768095970154 257.57904052734375 254.87791442871094 None None None +9 1020 0.2525336444377899 257.5782165527344 254.87608337402344 None None None +9 1021 0.25267940759658813 257.5683898925781 254.8647003173828 None None None +9 1022 0.25270017981529236 257.5759582519531 254.87205505371094 None None None +9 1023 0.2527502477169037 257.5643615722656 254.8599395751953 None None None +9 1024 0.25276124477386475 257.53485107421875 254.83030700683594 None None None +9 1025 0.2527933120727539 257.53839111328125 254.83346557617188 None None None +9 1026 0.25283873081207275 257.5753479003906 254.86996459960938 None None None +9 1027 0.2528526782989502 257.5645751953125 254.85902404785156 None None None +9 1028 0.25282442569732666 257.5693359375 254.86407470703125 None None None +9 1029 0.2528652846813202 257.5892028808594 254.8834991455078 None None None +9 1030 0.25279977917671204 257.5845642089844 254.87957763671875 None None None +9 1031 0.25284543633461 257.5883483886719 254.88287353515625 None None None +9 1032 0.25292137265205383 257.5833740234375 254.87705993652344 None None None +9 1033 0.2529650628566742 257.59356689453125 254.8867950439453 None None None +9 1034 0.2529684901237488 257.600830078125 254.8939971923828 None None None +9 1035 0.2529151737689972 257.6163024902344 254.91004943847656 None None None +9 1036 0.2529994249343872 257.6136169433594 254.90647888183594 None None None +9 1037 0.2529296576976776 257.628662109375 254.92227172851562 None None None +9 1038 0.25292879343032837 257.63995361328125 254.9335479736328 None None None +9 1039 0.25295862555503845 257.6358947753906 254.9291534423828 None None None +9 1040 0.25298750400543213 257.6219482421875 254.91490173339844 None None None +9 1041 0.253010094165802 257.6333312988281 254.92605590820312 None None None +9 1042 0.25296729803085327 257.6307373046875 254.9238739013672 None None None +9 1043 0.2529117166996002 257.6331481933594 254.9268798828125 None None None +9 1044 0.25283581018447876 257.62548828125 254.92001342773438 None None None +9 1045 0.2528223395347595 257.61309814453125 254.9077606201172 None None None +9 1046 0.2527112662792206 257.6286315917969 254.92449951171875 None None None +9 1047 0.2527316212654114 257.61456298828125 254.91018676757812 None None None +9 1048 0.25275298953056335 257.6265869140625 254.9219512939453 None None None +9 1049 0.25272685289382935 257.6268615722656 254.9225311279297 None None None +9 1050 0.25281384587287903 257.6402282714844 254.93496704101562 None None None +9 1051 0.25275298953056335 257.63873291015625 254.9341278076172 None None None +9 1052 0.2527545690536499 257.61798095703125 254.9133758544922 None None None +9 1053 0.2526998519897461 257.6226501464844 254.91860961914062 None None None +9 1054 0.25274667143821716 257.6327209472656 254.92820739746094 None None None +9 1055 0.2526799142360687 257.6615295410156 254.9577178955078 None None None +9 1056 0.25271841883659363 257.64593505859375 254.94175720214844 None None None diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.bias_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbc7b6ada556d12fcd2c9236c1f87cdae24f93eb --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 14:15:55.637625: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.618218: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.622850: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 14:15:58.650185: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.650266: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.677796: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.677881: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.691248: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.697222: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.719860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.725639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.726827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.728585: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.728946: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 14:15:58.729847: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.730131: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.730164: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.730189: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.730213: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.730235: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.730256: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.730278: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.730299: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.730321: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.730692: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.732048: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:16:00.605709: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 14:16:00.605815: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 14:16:00.605835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 14:16:00.608820: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:04:00.0, compute capability: 6.0) +2023-07-14 14:16:01.475047: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.bias_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..74a8770a73047688bfd5aa493c032ec5dff0f586 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/new_model_formats/bias_model_scaled diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet.params.json b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..a00af9f4592f4f5b34c7afa05df1fd96838e464d --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "10.7", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_data_params.tsv b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..07a69458d6bd8107df432a97db48c1d5ee63d1e8 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 12.0 +counts_sum_max_thresh 663.01 +trainings_pts_post_thresh 76109 diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c6e53169af1748f2eb82e3b2fb6ec555343142 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 16:31:00.909259: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:03.293924: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:03.297544: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:31:03.711191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:03.711285: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:03.734018: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:03.734074: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:03.743552: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:03.748129: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:03.763853: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:03.768017: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:03.768936: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:03.818767: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:03.819205: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:31:03.820712: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:03.832829: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:03.832891: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:03.832935: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:03.832969: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:03.832998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:03.833027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:03.833055: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:03.833082: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:03.833109: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:03.845519: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:03.847341: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:07.148395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:31:07.148579: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:31:07.148593: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:31:07.275537: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +2023-07-14 16:31:09.665001: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..14b61d09795220f4146e34152a1df9f324f7e06a --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/new_model_formats/chrombpnet diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_model_params.tsv b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..66b7eef58a4b473648b59e9f31bd6c3e5dc642a0 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 10.7 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..5826c3882e44b80e3c521497a430b918305c1eeb --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/new_model_formats/chrombpnet_wo_bias diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..5826c3882e44b80e3c521497a430b918305c1eeb --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_1/new_model_formats/chrombpnet_wo_bias diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.epoch_loss.csv b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..c5da647e6c72992fd9c28bcbd5e76cf4006cf640 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.epoch_loss.csv @@ -0,0 +1,11 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,2.077627658843994,271.3373107910156,293.5674743652344,0.4465344250202179,293.0189514160156,297.7970275878906 +1,0.4080512225627899,266.7060546875,271.0721435546875,0.3498990535736084,290.2674560546875,294.0113525390625 +2,0.37015488743782043,264.6891174316406,268.6498107910156,0.3369901478290558,288.837890625,292.4436340332031 +3,0.3508159816265106,263.3902282714844,267.144287109375,0.4061484932899475,288.32452392578125,292.67010498046875 +4,0.3370897173881531,263.0697937011719,266.6768493652344,0.318153977394104,288.1180725097656,291.522216796875 +5,0.32532399892807007,261.53546142578125,265.0163269042969,0.30797362327575684,288.4460144042969,291.74127197265625 +6,0.3132683336734772,261.0350646972656,264.3871154785156,0.30036476254463196,288.353759765625,291.5676574707031 +7,0.30105507373809814,259.37786865234375,262.5992736816406,0.2852984070777893,288.6614990234375,291.71405029296875 +8,0.2668100595474243,257.09283447265625,259.9472961425781,0.2948572039604187,289.1241760253906,292.27911376953125 +9,0.25271841883659363,254.94175720214844,257.64593505859375,0.32308703660964966,290.10638427734375,293.56341552734375 diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stderr.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..b82a34e514d3b0a6aabebc8ed3e81aac212c5bee --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stderr.txt @@ -0,0 +1,328 @@ +2022-09-22 05:18:26.199548: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:19:46.293914: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:19:46.295430: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:19:46.598446: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:19:46.598539: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:19:46.617344: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:19:46.617389: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:19:46.627740: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:19:46.632912: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:19:46.649400: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:19:46.654022: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:19:46.655116: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:19:46.658779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:19:46.659071: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:19:46.659132: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:19:46.660405: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:19:46.660430: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:19:46.660447: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:19:46.660460: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:19:46.660473: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:19:46.660485: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:19:46.660497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:19:46.660509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:19:46.660521: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:19:46.662983: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:19:46.664200: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:19:48.027019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:19:48.027137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:19:48.027149: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:19:48.032992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:01:00.0, compute capability: 8.0) +2022-09-22 05:19:48.936254: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:19:48.943180: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794725000 Hz +2022-09-22 05:19:49.081183: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:19:50.346243: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:19:50.352875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:20:14.506802: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:20:15.797992: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:20:15.798625: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:20:15.986098: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:20:15.986158: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:20:15.987769: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:20:15.987815: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:20:15.988563: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:20:15.988722: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:20:15.990398: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:20:15.990757: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:20:15.990865: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:20:15.992572: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:20:15.992778: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:20:15.992835: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:20:15.993666: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:20:15.993713: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:20:15.993731: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:20:15.993744: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:20:15.993756: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:20:15.993768: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:20:15.993779: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:20:15.993790: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:20:15.993801: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:20:15.995380: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:20:15.995406: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:20:16.559605: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:20:16.559718: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:20:16.559730: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:20:16.562338: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:01:00.0, compute capability: 8.0) +2022-09-22 05:21:35.693878: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:21:35.694245: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794725000 Hz +2022-09-22 05:21:36.871259: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:21:37.251086: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:21:37.263652: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:21:39.631305: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2022-09-22 05:48:21.081620: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:48:23.109593: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:48:23.110373: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:48:23.309160: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:48:23.309237: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:48:23.310944: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:48:23.310993: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:48:23.311809: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:48:23.311985: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:48:23.313704: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:48:23.314088: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:48:23.314207: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:48:23.315837: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:48:23.316068: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:48:23.316125: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:48:23.316941: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:48:23.316961: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:48:23.316977: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:48:23.316989: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:48:23.317001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:48:23.317012: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:48:23.317023: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:48:23.317034: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:48:23.317046: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:48:23.318582: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:48:23.318609: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:48:23.720940: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:48:23.721062: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:48:23.721075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:48:23.723734: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:01:00.0, compute capability: 8.0) +2022-09-22 05:48:45.089120: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:48:45.091629: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794725000 Hz +2022-09-22 05:48:45.153775: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:48:45.546273: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:48:45.548035: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 05:49:45.590963: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:49:47.443859: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:49:47.444688: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:49:47.627065: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:49:47.627149: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:49:47.628856: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:49:47.628896: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:49:47.629639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:49:47.629795: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:49:47.631456: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:49:47.631814: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:49:47.631929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:49:47.633508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:49:47.633768: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:49:47.633849: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:49:47.634647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:49:47.634667: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:49:47.634683: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:49:47.634695: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:49:47.634707: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:49:47.634718: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:49:47.634729: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:49:47.634740: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:49:47.634751: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:49:47.636275: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:49:47.636302: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:49:48.072207: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:49:48.072341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:49:48.072353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:49:48.075099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:01:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 05:50:07.943050: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:50:07.944787: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794725000 Hz +2022-09-22 05:50:07.986306: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:50:08.378741: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:50:08.380085: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 05:51:03.711108: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:05.538262: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:51:05.539056: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:51:05.721159: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:51:05.721238: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:05.722895: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:51:05.722935: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:51:05.723667: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:51:05.723821: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:51:05.725465: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:51:05.725822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:51:05.725934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:51:05.727508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:51:05.727760: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:51:05.727813: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:51:05.728623: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:51:05.728644: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:05.728659: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:51:05.728672: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:51:05.728710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:51:05.728723: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:51:05.728735: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:51:05.728746: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:51:05.728758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:51:05.730285: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:51:05.730313: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:06.160415: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:51:06.160533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:51:06.160545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:51:06.163245: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:01:00.0, compute capability: 8.0) +2022-09-22 05:51:26.514837: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:51:26.516141: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794725000 Hz +2022-09-22 05:51:26.543565: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:51:26.935343: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:51:26.936657: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 05:51:55.486044: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:56.381351: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:51:56.381981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:51:56.563715: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:51:56.563805: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:56.565448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:51:56.565488: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:51:56.566211: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:51:56.566366: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:51:56.568001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:51:56.568365: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:51:56.568476: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:51:56.570086: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:51:56.570352: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:51:56.570404: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:51:56.571215: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:51:56.571238: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:56.571254: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:51:56.571274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:51:56.571287: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:51:56.571299: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:51:56.571311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:51:56.571322: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:51:56.571334: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:51:56.572874: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:51:56.572904: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:51:56.999139: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:51:56.999296: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:51:56.999311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:51:57.002004: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:01:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 05:52:01.440902: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:52:01.441369: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794725000 Hz +2022-09-22 05:52:01.597961: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:52:01.996737: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:52:01.998238: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints’: File exists +2022-09-22 05:54:04.651143: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:54:05.551278: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:54:05.551938: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:54:05.740178: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:54:05.740272: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:54:05.741909: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:54:05.741952: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:54:05.742680: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:54:05.742831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:54:05.744472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:54:05.744833: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:54:05.744945: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:54:05.746515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:54:05.746768: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:54:05.746824: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:54:05.747618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:01:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:54:05.747670: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:54:05.747687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:54:05.747700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:54:05.747712: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:54:05.747724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:54:05.747735: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:54:05.747747: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:54:05.747758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:54:05.749285: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:54:05.749318: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:54:06.177147: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:54:06.177265: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:54:06.177284: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:54:06.179927: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:01:00.0, compute capability: 8.0) +2022-09-22 05:54:10.467154: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:54:10.467639: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794725000 Hz +2022-09-22 05:54:10.575811: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:54:10.984525: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:54:10.985955: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stdout.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..59b8d353227b56ca435e28fb9e25683c0e8a591b --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stdout.txt @@ -0,0 +1,466 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json +Thu Sep 22 05:18:24 2022 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +| | | MIG M. | +|===============================+======================+======================| +| 0 NVIDIA A100-SXM... On | 00000000:01:00.0 Off | 0 | +| N/A 30C P0 63W / 500W | 0MiB / 81920MiB | 0% E. Process | +| | | Disabled | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: | +| GPU GI CI PID Type Process name GPU Memory | +| ID ID Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ +No logfile supplied - creating one +2022-09-22_05-18-25: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_1/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr3', 'chr4', 'chr5', 'chr6', 'chr7', 'chr10', 'chr11', 'chr13', 'chr14', 'chr15', 'chr18', 'chr19', 'chr20', 'chr21', 'chr22', 'chrX', 'chrY', 'chr12', 'chr17'] +Number of peaks input: 70637 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 70637 +Number of peaks input: 18309 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 18309 +Number of non peaks input: 71532 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 71532 +Number of non peaks input: 17413 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 17413 +Number of peaks after removing outliers: 69860 +Number of nonpeaks after removing outliers: 63308 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/1979 [..............................] - ETA: 3:35:35 13/1979 [..............................] - ETA: 8s  25/1979 [..............................] - ETA: 8s 37/1979 [..............................] - ETA: 8s 49/1979 [..............................] - ETA: 8s 61/1979 [..............................] - ETA: 8s 73/1979 [>.............................] - ETA: 8s 85/1979 [>.............................] - ETA: 8s 97/1979 [>.............................] - ETA: 8s 109/1979 [>.............................] - ETA: 8s 121/1979 [>.............................] - ETA: 8s 133/1979 [=>............................] - ETA: 8s 145/1979 [=>............................] - ETA: 8s 157/1979 [=>............................] - ETA: 7s 169/1979 [=>............................] - ETA: 7s 181/1979 [=>............................] - ETA: 7s 193/1979 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4ms/step +2022-09-22_05-20-14: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(61445, 10) +loading nonpeaks... +got split:train for bed regions:(55705, 10) +loading peaks... +got split:valid for bed regions:(8415, 10) +loading nonpeaks... +got split:valid for bed regions:(7603, 10) +Epoch 1/50 + 1/1057 [..............................] - ETA: 1:36:32 - loss: 306.5489 - logits_profile_predictions_loss: 285.9872 - logcount_predictions_loss: 1.9217 2/1057 [..............................] - ETA: 2:28 - loss: 1325.0644 - logits_profile_predictions_loss: 277.9317 - logcount_predictions_loss: 97.8629  3/1057 [..............................] - ETA: 2:27 - loss: 1438.4576 - logits_profile_predictions_loss: 277.0140 - logcount_predictions_loss: 108.5461 4/1057 [..............................] - ETA: 2:26 - loss: 1408.6106 - logits_profile_predictions_loss: 275.6499 - logcount_predictions_loss: 105.8842 5/1057 [..............................] - ETA: 2:26 - loss: 1350.9193 - logits_profile_predictions_loss: 275.9099 - logcount_predictions_loss: 100.4682 6/1057 [..............................] - ETA: 2:26 - loss: 1289.8884 - logits_profile_predictions_loss: 276.2747 - logcount_predictions_loss: 94.7303  7/1057 [..............................] - ETA: 2:26 - loss: 1231.8709 - logits_profile_predictions_loss: 276.1395 - logcount_predictions_loss: 89.3207 8/1057 [..............................] - ETA: 2:26 - loss: 1179.1966 - logits_profile_predictions_loss: 276.0704 - logcount_predictions_loss: 84.4043 9/1057 [..............................] - ETA: 2:25 - loss: 1131.9494 - logits_profile_predictions_loss: 276.0569 - logcount_predictions_loss: 79.9900 10/1057 [..............................] - ETA: 2:25 - loss: 1089.4935 - logits_profile_predictions_loss: 275.9841 - logcount_predictions_loss: 76.0289 11/1057 [..............................] - ETA: 2:25 - loss: 1051.8816 - logits_profile_predictions_loss: 276.3587 - logcount_predictions_loss: 72.4788 12/1057 [..............................] - ETA: 2:25 - loss: 1018.0150 - logits_profile_predictions_loss: 276.7291 - logcount_predictions_loss: 69.2791 13/1057 [..............................] - ETA: 2:25 - loss: 987.3788 - logits_profile_predictions_loss: 277.0795 - logcount_predictions_loss: 66.3831  14/1057 [..............................] - ETA: 2:25 - loss: 959.5495 - logits_profile_predictions_loss: 277.4159 - logcount_predictions_loss: 63.7508 15/1057 [..............................] - ETA: 2:24 - loss: 934.2258 - logits_profile_predictions_loss: 277.7845 - logcount_predictions_loss: 61.3497 16/1057 [..............................] - ETA: 2:24 - loss: 910.8801 - logits_profile_predictions_loss: 278.0004 - logcount_predictions_loss: 59.1476 17/1057 [..............................] - ETA: 2:24 - loss: 889.3926 - logits_profile_predictions_loss: 278.1937 - logcount_predictions_loss: 57.1214 18/1057 [..............................] - ETA: 2:24 - loss: 869.5161 - logits_profile_predictions_loss: 278.3362 - logcount_predictions_loss: 55.2505 19/1057 [..............................] - ETA: 2:24 - loss: 851.0141 - logits_profile_predictions_loss: 278.3907 - logcount_predictions_loss: 53.5162 20/1057 [..............................] - ETA: 2:24 - loss: 833.7697 - logits_profile_predictions_loss: 278.3968 - logcount_predictions_loss: 51.9040 21/1057 [..............................] - ETA: 2:23 - loss: 817.6582 - logits_profile_predictions_loss: 278.3640 - logcount_predictions_loss: 50.4013 22/1057 [..............................] - ETA: 2:23 - loss: 802.6298 - logits_profile_predictions_loss: 278.3522 - logcount_predictions_loss: 48.9979 23/1057 [..............................] - ETA: 2:23 - loss: 788.5327 - logits_profile_predictions_loss: 278.3199 - logcount_predictions_loss: 47.6834 24/1057 [..............................] - ETA: 2:23 - loss: 775.3334 - logits_profile_predictions_loss: 278.3199 - logcount_predictions_loss: 46.4499 25/1057 [..............................] - ETA: 2:23 - loss: 762.9057 - logits_profile_predictions_loss: 278.3125 - logcount_predictions_loss: 45.2891 26/1057 [..............................] - ETA: 2:23 - loss: 751.1449 - logits_profile_predictions_loss: 278.2675 - logcount_predictions_loss: 44.1941 27/1057 [..............................] - ETA: 2:23 - loss: 740.0336 - logits_profile_predictions_loss: 278.2225 - logcount_predictions_loss: 43.1599 28/1057 [..............................] - ETA: 2:22 - loss: 729.5783 - logits_profile_predictions_loss: 278.2283 - logcount_predictions_loss: 42.1823 29/1057 [..............................] - ETA: 2:22 - loss: 719.6671 - logits_profile_predictions_loss: 278.2318 - logcount_predictions_loss: 41.2556 30/1057 [..............................] - ETA: 2:22 - loss: 710.2937 - logits_profile_predictions_loss: 278.2659 - logcount_predictions_loss: 40.3764 31/1057 [..............................] - ETA: 2:22 - loss: 701.3775 - logits_profile_predictions_loss: 278.2937 - logcount_predictions_loss: 39.5405 32/1057 [..............................] - ETA: 2:22 - loss: 692.8808 - logits_profile_predictions_loss: 278.3107 - logcount_predictions_loss: 38.7449 33/1057 [..............................] - ETA: 2:22 - loss: 684.7514 - logits_profile_predictions_loss: 278.3004 - logcount_predictions_loss: 37.9861 34/1057 [..............................] - ETA: 2:22 - loss: 676.9946 - logits_profile_predictions_loss: 278.2923 - logcount_predictions_loss: 37.2619 35/1057 [..............................] - ETA: 2:22 - loss: 669.5578 - logits_profile_predictions_loss: 278.2635 - logcount_predictions_loss: 36.5696 36/1057 [>.............................] - ETA: 2:21 - loss: 662.4267 - logits_profile_predictions_loss: 278.2206 - logcount_predictions_loss: 35.9071 37/1057 [>.............................] - ETA: 2:21 - loss: 655.5841 - logits_profile_predictions_loss: 278.1672 - logcount_predictions_loss: 35.2726 38/1057 [>.............................] - ETA: 2:21 - loss: 649.0307 - logits_profile_predictions_loss: 278.1215 - logcount_predictions_loss: 34.6644 39/1057 [>.............................] - ETA: 2:21 - loss: 642.7487 - logits_profile_predictions_loss: 278.0840 - logcount_predictions_loss: 34.0808 40/1057 [>.............................] - ETA: 2:21 - loss: 636.7190 - logits_profile_predictions_loss: 278.0520 - logcount_predictions_loss: 33.5203 41/1057 [>.............................] - ETA: 2:21 - loss: 630.9142 - logits_profile_predictions_loss: 278.0153 - logcount_predictions_loss: 32.9812 42/1057 [>.............................] - ETA: 2:21 - loss: 625.3386 - logits_profile_predictions_loss: 277.9894 - logcount_predictions_loss: 32.4626 43/1057 [>.............................] - ETA: 2:20 - loss: 619.9498 - logits_profile_predictions_loss: 277.9480 - logcount_predictions_loss: 31.9628 44/1057 [>.............................] - ETA: 2:20 - loss: 614.7511 - logits_profile_predictions_loss: 277.9035 - logcount_predictions_loss: 31.4811 45/1057 [>.............................] - ETA: 2:20 - loss: 609.7521 - logits_profile_predictions_loss: 277.8719 - logcount_predictions_loss: 31.0168 46/1057 [>.............................] - ETA: 2:20 - loss: 604.9290 - logits_profile_predictions_loss: 277.8422 - logcount_predictions_loss: 30.5689 47/1057 [>.............................] - ETA: 2:20 - loss: 600.2671 - logits_profile_predictions_loss: 277.8104 - logcount_predictions_loss: 30.1361 48/1057 [>.............................] - ETA: 2:20 - loss: 595.7684 - logits_profile_predictions_loss: 277.7862 - logcount_predictions_loss: 29.7180 49/1057 [>.............................] - ETA: 2:20 - loss: 591.4174 - logits_profile_predictions_loss: 277.7633 - logcount_predictions_loss: 29.3135 50/1057 [>.............................] - ETA: 2:19 - loss: 587.2084 - logits_profile_predictions_loss: 277.7426 - logcount_predictions_loss: 28.9220 51/1057 [>.............................] - ETA: 2:19 - loss: 583.1291 - logits_profile_predictions_loss: 277.7196 - logcount_predictions_loss: 28.5430 52/1057 [>.............................] - ETA: 2:19 - loss: 579.1840 - logits_profile_predictions_loss: 277.7030 - logcount_predictions_loss: 28.1758 53/1057 [>.............................] - ETA: 2:19 - loss: 575.3507 - logits_profile_predictions_loss: 277.6793 - logcount_predictions_loss: 27.8198 54/1057 [>.............................] - ETA: 2:19 - loss: 571.6417 - logits_profile_predictions_loss: 277.6646 - logcount_predictions_loss: 27.4745 55/1057 [>.............................] - ETA: 2:19 - loss: 568.0384 - logits_profile_predictions_loss: 277.6471 - logcount_predictions_loss: 27.1394 56/1057 [>.............................] - ETA: 2:19 - loss: 564.5328 - logits_profile_predictions_loss: 277.6242 - logcount_predictions_loss: 26.8139 57/1057 [>.............................] - ETA: 2:18 - loss: 561.1299 - logits_profile_predictions_loss: 277.6034 - logcount_predictions_loss: 26.4978 58/1057 [>.............................] - ETA: 2:18 - loss: 557.8163 - logits_profile_predictions_loss: 277.5779 - logcount_predictions_loss: 26.1905 59/1057 [>.............................] - ETA: 2:18 - loss: 554.5867 - logits_profile_predictions_loss: 277.5460 - logcount_predictions_loss: 25.8917 60/1057 [>.............................] - ETA: 2:18 - loss: 551.4404 - logits_profile_predictions_loss: 277.5111 - logcount_predictions_loss: 25.6009 61/1057 [>.............................] - ETA: 2:18 - loss: 548.3810 - logits_profile_predictions_loss: 277.4793 - logcount_predictions_loss: 25.3179 62/1057 [>.............................] - ETA: 2:18 - loss: 545.4061 - logits_profile_predictions_loss: 277.4514 - logcount_predictions_loss: 25.0425 63/1057 [>.............................] - ETA: 2:18 - loss: 542.5076 - logits_profile_predictions_loss: 277.4234 - logcount_predictions_loss: 24.7742 64/1057 [>.............................] - ETA: 2:17 - loss: 539.6911 - logits_profile_predictions_loss: 277.4026 - logcount_predictions_loss: 24.5129 65/1057 [>.............................] - ETA: 2:17 - loss: 536.9408 - logits_profile_predictions_loss: 277.3777 - logcount_predictions_loss: 24.2582 66/1057 [>.............................] - ETA: 2:17 - loss: 534.2533 - logits_profile_predictions_loss: 277.3480 - logcount_predictions_loss: 24.0098 67/1057 [>.............................] - ETA: 2:17 - loss: 531.6386 - logits_profile_predictions_loss: 277.3247 - logcount_predictions_loss: 23.7677 68/1057 [>.............................] - ETA: 2:17 - loss: 529.0891 - logits_profile_predictions_loss: 277.3034 - logcount_predictions_loss: 23.5314 69/1057 [>.............................] - ETA: 2:17 - loss: 526.6076 - logits_profile_predictions_loss: 277.2884 - logcount_predictions_loss: 23.3009 70/1057 [>.............................] - ETA: 2:17 - loss: 524.1841 - logits_profile_predictions_loss: 277.2733 - logcount_predictions_loss: 23.0758 71/1057 [=>............................] - ETA: 2:16 - loss: 521.8140 - logits_profile_predictions_loss: 277.2561 - logcount_predictions_loss: 22.8559 72/1057 [=>............................] - ETA: 2:16 - loss: 519.4966 - logits_profile_predictions_loss: 277.2374 - logcount_predictions_loss: 22.6410 73/1057 [=>............................] - ETA: 2:16 - loss: 517.2298 - logits_profile_predictions_loss: 277.2172 - logcount_predictions_loss: 22.4311 74/1057 [=>............................] - ETA: 2:16 - loss: 515.0132 - logits_profile_predictions_loss: 277.1968 - logcount_predictions_loss: 22.2258 75/1057 [=>............................] - ETA: 2:16 - loss: 512.8457 - logits_profile_predictions_loss: 277.1771 - logcount_predictions_loss: 22.0251 76/1057 [=>............................] - ETA: 2:16 - loss: 510.7261 - logits_profile_predictions_loss: 277.1583 - logcount_predictions_loss: 21.8288 77/1057 [=>............................] - ETA: 2:16 - loss: 508.6586 - logits_profile_predictions_loss: 277.1456 - logcount_predictions_loss: 21.6367 78/1057 [=>............................] - ETA: 2:16 - loss: 506.6317 - logits_profile_predictions_loss: 277.1298 - logcount_predictions_loss: 21.4488 79/1057 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[==>...........................] - ETA: 2:09 - loss: 271.1220 - logits_profile_predictions_loss: 266.1970 - logcount_predictions_loss: 0.4603 127/1057 [==>...........................] - ETA: 2:09 - loss: 271.1301 - logits_profile_predictions_loss: 266.2060 - logcount_predictions_loss: 0.4602 128/1057 [==>...........................] - ETA: 2:09 - loss: 271.1376 - logits_profile_predictions_loss: 266.2143 - logcount_predictions_loss: 0.4601 129/1057 [==>...........................] - ETA: 2:08 - loss: 271.1445 - logits_profile_predictions_loss: 266.2221 - logcount_predictions_loss: 0.4600 130/1057 [==>...........................] - ETA: 2:08 - loss: 271.1500 - logits_profile_predictions_loss: 266.2284 - logcount_predictions_loss: 0.4600 131/1057 [==>...........................] - ETA: 2:08 - loss: 271.1563 - logits_profile_predictions_loss: 266.2355 - logcount_predictions_loss: 0.4599 132/1057 [==>...........................] - ETA: 2:08 - loss: 271.1630 - logits_profile_predictions_loss: 266.2431 - logcount_predictions_loss: 0.4598 133/1057 [==>...........................] - ETA: 2:08 - loss: 271.1704 - logits_profile_predictions_loss: 266.2513 - logcount_predictions_loss: 0.4597 134/1057 [==>...........................] - ETA: 2:08 - loss: 271.1772 - logits_profile_predictions_loss: 266.2590 - logcount_predictions_loss: 0.4596 135/1057 [==>...........................] - ETA: 2:08 - loss: 271.1838 - logits_profile_predictions_loss: 266.2664 - logcount_predictions_loss: 0.4596 136/1057 [==>...........................] - ETA: 2:08 - loss: 271.1891 - logits_profile_predictions_loss: 266.2726 - logcount_predictions_loss: 0.4595 137/1057 [==>...........................] - ETA: 2:07 - loss: 271.1958 - logits_profile_predictions_loss: 266.2802 - logcount_predictions_loss: 0.4594 138/1057 [==>...........................] - ETA: 2:07 - loss: 271.2011 - logits_profile_predictions_loss: 266.2863 - logcount_predictions_loss: 0.4593 139/1057 [==>...........................] - ETA: 2:07 - loss: 271.2051 - logits_profile_predictions_loss: 266.2912 - logcount_predictions_loss: 0.4592 140/1057 [==>...........................] - ETA: 2:07 - loss: 271.2090 - logits_profile_predictions_loss: 266.2960 - logcount_predictions_loss: 0.4592 141/1057 [===>..........................] - ETA: 2:07 - loss: 271.2130 - logits_profile_predictions_loss: 266.3007 - logcount_predictions_loss: 0.4591 142/1057 [===>..........................] - ETA: 2:07 - loss: 271.2163 - logits_profile_predictions_loss: 266.3048 - logcount_predictions_loss: 0.4590 143/1057 [===>..........................] - ETA: 2:07 - loss: 271.2212 - logits_profile_predictions_loss: 266.3104 - logcount_predictions_loss: 0.4590 144/1057 [===>..........................] - ETA: 2:06 - loss: 271.2241 - logits_profile_predictions_loss: 266.3140 - logcount_predictions_loss: 0.4589 145/1057 [===>..........................] - ETA: 2:06 - loss: 271.2257 - 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[===>..........................] - ETA: 2:05 - loss: 271.2363 - logits_profile_predictions_loss: 266.3313 - logcount_predictions_loss: 0.4584 153/1057 [===>..........................] - ETA: 2:05 - loss: 271.2352 - logits_profile_predictions_loss: 266.3308 - logcount_predictions_loss: 0.4584 154/1057 [===>..........................] - ETA: 2:05 - loss: 271.2352 - logits_profile_predictions_loss: 266.3313 - logcount_predictions_loss: 0.4583 155/1057 [===>..........................] - ETA: 2:05 - loss: 271.2359 - logits_profile_predictions_loss: 266.3326 - logcount_predictions_loss: 0.4583 156/1057 [===>..........................] - ETA: 2:05 - loss: 271.2367 - logits_profile_predictions_loss: 266.3340 - logcount_predictions_loss: 0.4582 157/1057 [===>..........................] - ETA: 2:05 - loss: 271.2367 - logits_profile_predictions_loss: 266.3346 - logcount_predictions_loss: 0.4581 158/1057 [===>..........................] - ETA: 2:04 - loss: 271.2365 - 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[=>............................] - ETA: 2:16 - loss: 271.4530 - logits_profile_predictions_loss: 267.7279 - logcount_predictions_loss: 0.3481 77/1057 [=>............................] - ETA: 2:16 - loss: 271.4091 - logits_profile_predictions_loss: 267.6832 - logcount_predictions_loss: 0.3482 78/1057 [=>............................] - ETA: 2:16 - loss: 271.3647 - logits_profile_predictions_loss: 267.6381 - logcount_predictions_loss: 0.3483 79/1057 [=>............................] - ETA: 2:15 - loss: 271.3207 - logits_profile_predictions_loss: 267.5935 - logcount_predictions_loss: 0.3483 80/1057 [=>............................] - ETA: 2:15 - loss: 271.2764 - logits_profile_predictions_loss: 267.5483 - logcount_predictions_loss: 0.3484 81/1057 [=>............................] - ETA: 2:15 - loss: 271.2304 - logits_profile_predictions_loss: 267.5015 - logcount_predictions_loss: 0.3485 82/1057 [=>............................] - ETA: 2:15 - loss: 271.1795 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 266.7031 - logcount_predictions_loss: 0.3496 103/1057 [=>............................] - ETA: 2:12 - loss: 270.4181 - logits_profile_predictions_loss: 266.6765 - logcount_predictions_loss: 0.3497 104/1057 [=>............................] - ETA: 2:12 - loss: 270.3935 - logits_profile_predictions_loss: 266.6509 - logcount_predictions_loss: 0.3498 105/1057 [=>............................] - ETA: 2:12 - loss: 270.3709 - logits_profile_predictions_loss: 266.6273 - logcount_predictions_loss: 0.3499 106/1057 [==>...........................] - ETA: 2:12 - loss: 270.3509 - logits_profile_predictions_loss: 266.6063 - logcount_predictions_loss: 0.3500 107/1057 [==>...........................] - ETA: 2:11 - loss: 270.3306 - logits_profile_predictions_loss: 266.5850 - logcount_predictions_loss: 0.3501 108/1057 [==>...........................] - ETA: 2:11 - loss: 270.3109 - logits_profile_predictions_loss: 266.5643 - logcount_predictions_loss: 0.3502 109/1057 [==>...........................] - ETA: 2:11 - loss: 270.2888 - logits_profile_predictions_loss: 266.5411 - logcount_predictions_loss: 0.3502 110/1057 [==>...........................] - ETA: 2:11 - loss: 270.2678 - logits_profile_predictions_loss: 266.5190 - logcount_predictions_loss: 0.3504 111/1057 [==>...........................] - ETA: 2:11 - loss: 270.2458 - logits_profile_predictions_loss: 266.4959 - logcount_predictions_loss: 0.3505 112/1057 [==>...........................] - ETA: 2:11 - loss: 270.2237 - logits_profile_predictions_loss: 266.4728 - logcount_predictions_loss: 0.3506 113/1057 [==>...........................] - ETA: 2:11 - loss: 270.2028 - logits_profile_predictions_loss: 266.4508 - logcount_predictions_loss: 0.3507 114/1057 [==>...........................] - ETA: 2:10 - loss: 270.1821 - logits_profile_predictions_loss: 266.4291 - logcount_predictions_loss: 0.3508 115/1057 [==>...........................] - ETA: 2:10 - loss: 270.1589 - logits_profile_predictions_loss: 266.4049 - logcount_predictions_loss: 0.3508 116/1057 [==>...........................] - ETA: 2:10 - loss: 270.1359 - logits_profile_predictions_loss: 266.3809 - logcount_predictions_loss: 0.3509 117/1057 [==>...........................] - ETA: 2:10 - loss: 270.1115 - logits_profile_predictions_loss: 266.3555 - logcount_predictions_loss: 0.3510 118/1057 [==>...........................] - ETA: 2:10 - loss: 270.0873 - logits_profile_predictions_loss: 266.3303 - logcount_predictions_loss: 0.3511 119/1057 [==>...........................] - ETA: 2:10 - loss: 270.0644 - logits_profile_predictions_loss: 266.3061 - logcount_predictions_loss: 0.3512 120/1057 [==>...........................] - ETA: 2:10 - loss: 270.0414 - logits_profile_predictions_loss: 266.2820 - logcount_predictions_loss: 0.3513 121/1057 [==>...........................] - ETA: 2:10 - loss: 270.0175 - logits_profile_predictions_loss: 266.2570 - logcount_predictions_loss: 0.3515 122/1057 [==>...........................] - ETA: 2:09 - loss: 269.9941 - logits_profile_predictions_loss: 266.2324 - logcount_predictions_loss: 0.3516 123/1057 [==>...........................] - ETA: 2:09 - loss: 269.9712 - logits_profile_predictions_loss: 266.2083 - logcount_predictions_loss: 0.3517 124/1057 [==>...........................] - ETA: 2:09 - loss: 269.9486 - logits_profile_predictions_loss: 266.1846 - logcount_predictions_loss: 0.3518 125/1057 [==>...........................] - ETA: 2:09 - loss: 269.9266 - logits_profile_predictions_loss: 266.1614 - logcount_predictions_loss: 0.3519 126/1057 [==>...........................] - ETA: 2:09 - loss: 269.9069 - logits_profile_predictions_loss: 266.1404 - logcount_predictions_loss: 0.3520 127/1057 [==>...........................] - ETA: 2:09 - loss: 269.8859 - logits_profile_predictions_loss: 266.1182 - logcount_predictions_loss: 0.3521 128/1057 [==>...........................] - ETA: 2:09 - loss: 269.8652 - logits_profile_predictions_loss: 266.0964 - logcount_predictions_loss: 0.3522 129/1057 [==>...........................] - ETA: 2:08 - loss: 269.8446 - logits_profile_predictions_loss: 266.0745 - logcount_predictions_loss: 0.3524 130/1057 [==>...........................] - ETA: 2:08 - loss: 269.8251 - logits_profile_predictions_loss: 266.0537 - logcount_predictions_loss: 0.3525 131/1057 [==>...........................] - ETA: 2:08 - loss: 269.8065 - logits_profile_predictions_loss: 266.0339 - logcount_predictions_loss: 0.3526 132/1057 [==>...........................] - ETA: 2:08 - loss: 269.7885 - logits_profile_predictions_loss: 266.0148 - logcount_predictions_loss: 0.3527 133/1057 [==>...........................] - ETA: 2:08 - loss: 269.7712 - logits_profile_predictions_loss: 265.9964 - logcount_predictions_loss: 0.3528 134/1057 [==>...........................] - ETA: 2:08 - loss: 269.7560 - logits_profile_predictions_loss: 265.9800 - logcount_predictions_loss: 0.3529 135/1057 [==>...........................] - ETA: 2:08 - loss: 269.7415 - logits_profile_predictions_loss: 265.9646 - logcount_predictions_loss: 0.3530 136/1057 [==>...........................] - ETA: 2:07 - loss: 269.7282 - logits_profile_predictions_loss: 265.9502 - logcount_predictions_loss: 0.3531 137/1057 [==>...........................] - ETA: 2:07 - loss: 269.7149 - logits_profile_predictions_loss: 265.9358 - logcount_predictions_loss: 0.3532 138/1057 [==>...........................] - ETA: 2:07 - loss: 269.7041 - logits_profile_predictions_loss: 265.9240 - logcount_predictions_loss: 0.3533 139/1057 [==>...........................] - ETA: 2:07 - loss: 269.6916 - logits_profile_predictions_loss: 265.9106 - logcount_predictions_loss: 0.3534 140/1057 [==>...........................] - ETA: 2:07 - loss: 269.6791 - logits_profile_predictions_loss: 265.8971 - logcount_predictions_loss: 0.3535 141/1057 [===>..........................] - ETA: 2:07 - loss: 269.6692 - logits_profile_predictions_loss: 265.8864 - logcount_predictions_loss: 0.3535 142/1057 [===>..........................] - ETA: 2:07 - loss: 269.6594 - logits_profile_predictions_loss: 265.8757 - logcount_predictions_loss: 0.3536 143/1057 [===>..........................] - ETA: 2:06 - loss: 269.6514 - logits_profile_predictions_loss: 265.8669 - logcount_predictions_loss: 0.3537 144/1057 [===>..........................] - ETA: 2:06 - loss: 269.6431 - logits_profile_predictions_loss: 265.8577 - logcount_predictions_loss: 0.3538 145/1057 [===>..........................] - ETA: 2:06 - loss: 269.6349 - logits_profile_predictions_loss: 265.8487 - logcount_predictions_loss: 0.3539 146/1057 [===>..........................] - ETA: 2:06 - loss: 269.6258 - logits_profile_predictions_loss: 265.8388 - logcount_predictions_loss: 0.3539 147/1057 [===>..........................] - ETA: 2:06 - loss: 269.6157 - logits_profile_predictions_loss: 265.8279 - logcount_predictions_loss: 0.3540 148/1057 [===>..........................] - ETA: 2:06 - loss: 269.6067 - logits_profile_predictions_loss: 265.8181 - logcount_predictions_loss: 0.3541 149/1057 [===>..........................] - ETA: 2:06 - loss: 269.5987 - logits_profile_predictions_loss: 265.8093 - logcount_predictions_loss: 0.3542 150/1057 [===>..........................] - ETA: 2:06 - loss: 269.5900 - logits_profile_predictions_loss: 265.7999 - logcount_predictions_loss: 0.3542 151/1057 [===>..........................] - ETA: 2:05 - loss: 269.5826 - logits_profile_predictions_loss: 265.7917 - logcount_predictions_loss: 0.3543 152/1057 [===>..........................] - ETA: 2:05 - loss: 269.5748 - logits_profile_predictions_loss: 265.7832 - logcount_predictions_loss: 0.3544 153/1057 [===>..........................] - ETA: 2:05 - loss: 269.5665 - logits_profile_predictions_loss: 265.7741 - logcount_predictions_loss: 0.3544 154/1057 [===>..........................] - ETA: 2:05 - loss: 269.5584 - logits_profile_predictions_loss: 265.7651 - logcount_predictions_loss: 0.3545 155/1057 [===>..........................] - ETA: 2:05 - loss: 269.5497 - logits_profile_predictions_loss: 265.7555 - logcount_predictions_loss: 0.3546 156/1057 [===>..........................] - ETA: 2:05 - loss: 269.5414 - logits_profile_predictions_loss: 265.7463 - logcount_predictions_loss: 0.3547 157/1057 [===>..........................] - ETA: 2:05 - loss: 269.5327 - logits_profile_predictions_loss: 265.7368 - logcount_predictions_loss: 0.3548 158/1057 [===>..........................] - ETA: 2:04 - loss: 269.5255 - logits_profile_predictions_loss: 265.7287 - logcount_predictions_loss: 0.3548 159/1057 [===>..........................] - ETA: 2:04 - loss: 269.5186 - logits_profile_predictions_loss: 265.7209 - logcount_predictions_loss: 0.3549 160/1057 [===>..........................] - ETA: 2:04 - loss: 269.5121 - logits_profile_predictions_loss: 265.7136 - logcount_predictions_loss: 0.3550 161/1057 [===>..........................] - ETA: 2:04 - loss: 269.5054 - logits_profile_predictions_loss: 265.7060 - logcount_predictions_loss: 0.3551 162/1057 [===>..........................] - ETA: 2:04 - loss: 269.4978 - logits_profile_predictions_loss: 265.6977 - logcount_predictions_loss: 0.3552 163/1057 [===>..........................] - ETA: 2:04 - loss: 269.4897 - logits_profile_predictions_loss: 265.6888 - logcount_predictions_loss: 0.3552 164/1057 [===>..........................] - ETA: 2:04 - loss: 269.4814 - logits_profile_predictions_loss: 265.6796 - logcount_predictions_loss: 0.3553 165/1057 [===>..........................] - ETA: 2:03 - loss: 269.4730 - logits_profile_predictions_loss: 265.6704 - logcount_predictions_loss: 0.3554 166/1057 [===>..........................] - ETA: 2:03 - loss: 269.4647 - logits_profile_predictions_loss: 265.6613 - logcount_predictions_loss: 0.3555 167/1057 [===>..........................] - ETA: 2:03 - loss: 269.4565 - logits_profile_predictions_loss: 265.6524 - logcount_predictions_loss: 0.3555 168/1057 [===>..........................] - ETA: 2:03 - loss: 269.4481 - logits_profile_predictions_loss: 265.6432 - logcount_predictions_loss: 0.3556 169/1057 [===>..........................] - ETA: 2:03 - loss: 269.4401 - logits_profile_predictions_loss: 265.6345 - logcount_predictions_loss: 0.3557 170/1057 [===>..........................] - ETA: 2:03 - loss: 269.4317 - logits_profile_predictions_loss: 265.6254 - logcount_predictions_loss: 0.3557 171/1057 [===>..........................] - ETA: 2:03 - loss: 269.4229 - logits_profile_predictions_loss: 265.6158 - logcount_predictions_loss: 0.3558 172/1057 [===>..........................] - ETA: 2:02 - loss: 269.4138 - logits_profile_predictions_loss: 265.6060 - logcount_predictions_loss: 0.3559 173/1057 [===>..........................] - ETA: 2:02 - loss: 269.4051 - logits_profile_predictions_loss: 265.5966 - logcount_predictions_loss: 0.3559 174/1057 [===>..........................] - ETA: 2:02 - loss: 269.3974 - logits_profile_predictions_loss: 265.5883 - logcount_predictions_loss: 0.3560 175/1057 [===>..........................] - ETA: 2:02 - loss: 269.3902 - logits_profile_predictions_loss: 265.5803 - logcount_predictions_loss: 0.3561 176/1057 [===>..........................] - ETA: 2:02 - loss: 269.3834 - logits_profile_predictions_loss: 265.5727 - logcount_predictions_loss: 0.3561 177/1057 [====>.........................] - ETA: 2:02 - loss: 269.3758 - logits_profile_predictions_loss: 265.5644 - logcount_predictions_loss: 0.3562 178/1057 [====>.........................] - ETA: 2:02 - loss: 269.3689 - logits_profile_predictions_loss: 265.5567 - logcount_predictions_loss: 0.3563 179/1057 [====>.........................] - ETA: 2:01 - loss: 269.3622 - logits_profile_predictions_loss: 265.5492 - logcount_predictions_loss: 0.3564 180/1057 [====>.........................] - ETA: 2:01 - loss: 269.3544 - logits_profile_predictions_loss: 265.5407 - logcount_predictions_loss: 0.3564 181/1057 [====>.........................] - ETA: 2:01 - loss: 269.3463 - logits_profile_predictions_loss: 265.5319 - logcount_predictions_loss: 0.3565 182/1057 [====>.........................] - ETA: 2:01 - loss: 269.3381 - logits_profile_predictions_loss: 265.5230 - logcount_predictions_loss: 0.3566 183/1057 [====>.........................] - ETA: 2:01 - loss: 269.3304 - logits_profile_predictions_loss: 265.5145 - logcount_predictions_loss: 0.3566 184/1057 [====>.........................] - ETA: 2:01 - loss: 269.3229 - logits_profile_predictions_loss: 265.5063 - logcount_predictions_loss: 0.3567 185/1057 [====>.........................] - ETA: 2:01 - loss: 269.3154 - logits_profile_predictions_loss: 265.4981 - logcount_predictions_loss: 0.3568 186/1057 [====>.........................] - ETA: 2:01 - loss: 269.3092 - logits_profile_predictions_loss: 265.4912 - logcount_predictions_loss: 0.3568 187/1057 [====>.........................] - ETA: 2:00 - loss: 269.3031 - logits_profile_predictions_loss: 265.4843 - logcount_predictions_loss: 0.3569 188/1057 [====>.........................] - ETA: 2:00 - loss: 269.2977 - logits_profile_predictions_loss: 265.4782 - logcount_predictions_loss: 0.3570 189/1057 [====>.........................] - ETA: 2:00 - loss: 269.2928 - logits_profile_predictions_loss: 265.4725 - logcount_predictions_loss: 0.3570 190/1057 [====>.........................] - ETA: 2:00 - loss: 269.2882 - logits_profile_predictions_loss: 265.4671 - logcount_predictions_loss: 0.3571 191/1057 [====>.........................] - ETA: 2:00 - loss: 269.2837 - logits_profile_predictions_loss: 265.4618 - logcount_predictions_loss: 0.3572 192/1057 [====>.........................] - ETA: 2:00 - loss: 269.2800 - logits_profile_predictions_loss: 265.4572 - logcount_predictions_loss: 0.3573 193/1057 [====>.........................] - ETA: 2:00 - loss: 269.2758 - logits_profile_predictions_loss: 265.4522 - logcount_predictions_loss: 0.3574 194/1057 [====>.........................] - ETA: 1:59 - loss: 269.2727 - logits_profile_predictions_loss: 265.4483 - logcount_predictions_loss: 0.3574 195/1057 [====>.........................] - ETA: 1:59 - loss: 269.2703 - logits_profile_predictions_loss: 265.4450 - logcount_predictions_loss: 0.3575 196/1057 [====>.........................] - ETA: 1:59 - loss: 269.2672 - logits_profile_predictions_loss: 265.4412 - logcount_predictions_loss: 0.3576 197/1057 [====>.........................] - ETA: 1:59 - loss: 269.2648 - logits_profile_predictions_loss: 265.4379 - logcount_predictions_loss: 0.3577 198/1057 [====>.........................] - ETA: 1:59 - loss: 269.2618 - logits_profile_predictions_loss: 265.4342 - logcount_predictions_loss: 0.3577 199/1057 [====>.........................] - ETA: 1:59 - loss: 269.2590 - logits_profile_predictions_loss: 265.4306 - logcount_predictions_loss: 0.3578 200/1057 [====>.........................] - ETA: 1:59 - loss: 269.2560 - logits_profile_predictions_loss: 265.4268 - logcount_predictions_loss: 0.3579 201/1057 [====>.........................] - ETA: 1:58 - loss: 269.2529 - logits_profile_predictions_loss: 265.4231 - logcount_predictions_loss: 0.3579 202/1057 [====>.........................] - ETA: 1:58 - loss: 269.2496 - logits_profile_predictions_loss: 265.4191 - logcount_predictions_loss: 0.3580 203/1057 [====>.........................] - ETA: 1:58 - loss: 269.2468 - logits_profile_predictions_loss: 265.4156 - logcount_predictions_loss: 0.3581 204/1057 [====>.........................] - ETA: 1:58 - loss: 269.2433 - logits_profile_predictions_loss: 265.4114 - logcount_predictions_loss: 0.3581 205/1057 [====>.........................] - ETA: 1:58 - loss: 269.2392 - logits_profile_predictions_loss: 265.4067 - logcount_predictions_loss: 0.3582 206/1057 [====>.........................] - ETA: 1:58 - loss: 269.2358 - logits_profile_predictions_loss: 265.4025 - logcount_predictions_loss: 0.3583 207/1057 [====>.........................] - ETA: 1:58 - loss: 269.2324 - logits_profile_predictions_loss: 265.3985 - logcount_predictions_loss: 0.3583 208/1057 [====>.........................] - ETA: 1:57 - loss: 269.2295 - logits_profile_predictions_loss: 265.3949 - logcount_predictions_loss: 0.3584 209/1057 [====>.........................] - ETA: 1:57 - loss: 269.2267 - logits_profile_predictions_loss: 265.3914 - logcount_predictions_loss: 0.3584 210/1057 [====>.........................] - ETA: 1:57 - loss: 269.2232 - logits_profile_predictions_loss: 265.3872 - logcount_predictions_loss: 0.3585 211/1057 [====>.........................] - ETA: 1:57 - loss: 269.2196 - logits_profile_predictions_loss: 265.3830 - logcount_predictions_loss: 0.3586 212/1057 [=====>........................] - ETA: 1:57 - loss: 269.2161 - logits_profile_predictions_loss: 265.3788 - logcount_predictions_loss: 0.3586 213/1057 [=====>........................] - ETA: 1:57 - loss: 269.2127 - logits_profile_predictions_loss: 265.3748 - logcount_predictions_loss: 0.3587 214/1057 [=====>........................] - ETA: 1:57 - loss: 269.2096 - logits_profile_predictions_loss: 265.3710 - logcount_predictions_loss: 0.3588 215/1057 [=====>........................] - ETA: 1:56 - loss: 269.2060 - logits_profile_predictions_loss: 265.3668 - logcount_predictions_loss: 0.3588 216/1057 [=====>........................] - ETA: 1:56 - loss: 269.2022 - logits_profile_predictions_loss: 265.3623 - logcount_predictions_loss: 0.3589 217/1057 [=====>........................] - ETA: 1:56 - loss: 269.1985 - logits_profile_predictions_loss: 265.3579 - logcount_predictions_loss: 0.3589 218/1057 [=====>........................] - ETA: 1:56 - loss: 269.1949 - logits_profile_predictions_loss: 265.3537 - logcount_predictions_loss: 0.3590 219/1057 [=====>........................] - ETA: 1:56 - loss: 269.1913 - logits_profile_predictions_loss: 265.3494 - logcount_predictions_loss: 0.3591 220/1057 [=====>........................] - ETA: 1:56 - loss: 269.1875 - logits_profile_predictions_loss: 265.3450 - logcount_predictions_loss: 0.3591 221/1057 [=====>........................] - ETA: 1:56 - loss: 269.1833 - logits_profile_predictions_loss: 265.3402 - logcount_predictions_loss: 0.3592 222/1057 [=====>........................] - ETA: 1:56 - loss: 269.1792 - logits_profile_predictions_loss: 265.3354 - logcount_predictions_loss: 0.3592 223/1057 [=====>........................] - ETA: 1:55 - loss: 269.1754 - logits_profile_predictions_loss: 265.3310 - logcount_predictions_loss: 0.3593 224/1057 [=====>........................] - ETA: 1:55 - loss: 269.1711 - logits_profile_predictions_loss: 265.3261 - logcount_predictions_loss: 0.3594 225/1057 [=====>........................] - ETA: 1:55 - loss: 269.1673 - logits_profile_predictions_loss: 265.3217 - logcount_predictions_loss: 0.3594 226/1057 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val_logits_profile_predictions_loss: 288.8379 - val_logcount_predictions_loss: 0.3370 + +Epoch 00003: val_loss improved from 294.01135 to 292.44363, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/chrombpnet.h5 +Epoch 4/50 + 1/1057 [..............................] - ETA: 2:42 - loss: 271.8925 - logits_profile_predictions_loss: 268.3256 - logcount_predictions_loss: 0.3334 2/1057 [..............................] - ETA: 2:28 - loss: 270.5789 - logits_profile_predictions_loss: 266.8632 - logcount_predictions_loss: 0.3473 3/1057 [..............................] - ETA: 2:27 - loss: 271.5110 - logits_profile_predictions_loss: 267.8598 - logcount_predictions_loss: 0.3412 4/1057 [..............................] - ETA: 2:26 - loss: 271.7882 - logits_profile_predictions_loss: 268.1187 - logcount_predictions_loss: 0.3429 5/1057 [..............................] - ETA: 2:26 - loss: 271.9903 - logits_profile_predictions_loss: 268.3146 - 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logits_profile_predictions_loss: 266.0835 - logcount_predictions_loss: 0.3506 46/1057 [>.............................] - ETA: 2:20 - loss: 269.7749 - logits_profile_predictions_loss: 266.0231 - logcount_predictions_loss: 0.3506 47/1057 [>.............................] - ETA: 2:20 - loss: 269.7230 - logits_profile_predictions_loss: 265.9702 - logcount_predictions_loss: 0.3507 48/1057 [>.............................] - ETA: 2:20 - loss: 269.6753 - logits_profile_predictions_loss: 265.9212 - logcount_predictions_loss: 0.3509 49/1057 [>.............................] - ETA: 2:19 - loss: 269.6263 - logits_profile_predictions_loss: 265.8711 - logcount_predictions_loss: 0.3509 50/1057 [>.............................] - ETA: 2:19 - loss: 269.5734 - logits_profile_predictions_loss: 265.8169 - logcount_predictions_loss: 0.3511 51/1057 [>.............................] - ETA: 2:19 - loss: 269.5302 - logits_profile_predictions_loss: 265.7728 - logcount_predictions_loss: 0.3512 52/1057 [>.............................] - ETA: 2:19 - loss: 269.4861 - logits_profile_predictions_loss: 265.7282 - logcount_predictions_loss: 0.3512 53/1057 [>.............................] - ETA: 2:19 - loss: 269.4368 - logits_profile_predictions_loss: 265.6782 - logcount_predictions_loss: 0.3513 54/1057 [>.............................] - ETA: 2:19 - loss: 269.3877 - logits_profile_predictions_loss: 265.6279 - logcount_predictions_loss: 0.3514 55/1057 [>.............................] - ETA: 2:19 - loss: 269.3404 - logits_profile_predictions_loss: 265.5799 - logcount_predictions_loss: 0.3514 56/1057 [>.............................] - ETA: 2:18 - loss: 269.3007 - logits_profile_predictions_loss: 265.5390 - logcount_predictions_loss: 0.3516 57/1057 [>.............................] - ETA: 2:18 - loss: 269.2565 - logits_profile_predictions_loss: 265.4939 - logcount_predictions_loss: 0.3516 58/1057 [>.............................] - ETA: 2:18 - loss: 269.2204 - logits_profile_predictions_loss: 265.4570 - logcount_predictions_loss: 0.3517 59/1057 [>.............................] - ETA: 2:18 - loss: 269.1831 - logits_profile_predictions_loss: 265.4192 - logcount_predictions_loss: 0.3518 60/1057 [>.............................] - ETA: 2:18 - loss: 269.1370 - logits_profile_predictions_loss: 265.3727 - logcount_predictions_loss: 0.3518 61/1057 [>.............................] - ETA: 2:18 - loss: 269.0932 - logits_profile_predictions_loss: 265.3286 - logcount_predictions_loss: 0.3518 62/1057 [>.............................] - ETA: 2:18 - loss: 269.0454 - logits_profile_predictions_loss: 265.2800 - logcount_predictions_loss: 0.3519 63/1057 [>.............................] - ETA: 2:17 - loss: 268.9987 - logits_profile_predictions_loss: 265.2327 - logcount_predictions_loss: 0.3520 64/1057 [>.............................] - ETA: 2:17 - loss: 268.9536 - logits_profile_predictions_loss: 265.1867 - logcount_predictions_loss: 0.3520 65/1057 [>.............................] - ETA: 2:17 - loss: 268.9143 - logits_profile_predictions_loss: 265.1465 - logcount_predictions_loss: 0.3521 66/1057 [>.............................] - ETA: 2:17 - loss: 268.8773 - logits_profile_predictions_loss: 265.1085 - logcount_predictions_loss: 0.3522 67/1057 [>.............................] - ETA: 2:17 - loss: 268.8395 - logits_profile_predictions_loss: 265.0698 - logcount_predictions_loss: 0.3523 68/1057 [>.............................] - ETA: 2:17 - loss: 268.8058 - logits_profile_predictions_loss: 265.0353 - logcount_predictions_loss: 0.3524 69/1057 [>.............................] - ETA: 2:17 - loss: 268.7774 - logits_profile_predictions_loss: 265.0062 - logcount_predictions_loss: 0.3525 70/1057 [>.............................] - ETA: 2:17 - loss: 268.7545 - logits_profile_predictions_loss: 264.9824 - logcount_predictions_loss: 0.3525 71/1057 [=>............................] - ETA: 2:16 - loss: 268.7345 - logits_profile_predictions_loss: 264.9615 - logcount_predictions_loss: 0.3526 72/1057 [=>............................] - ETA: 2:16 - loss: 268.7164 - logits_profile_predictions_loss: 264.9426 - logcount_predictions_loss: 0.3527 73/1057 [=>............................] - ETA: 2:16 - loss: 268.7005 - logits_profile_predictions_loss: 264.9259 - logcount_predictions_loss: 0.3528 74/1057 [=>............................] - ETA: 2:16 - loss: 268.6876 - logits_profile_predictions_loss: 264.9122 - logcount_predictions_loss: 0.3528 75/1057 [=>............................] - ETA: 2:16 - loss: 268.6727 - logits_profile_predictions_loss: 264.8963 - logcount_predictions_loss: 0.3529 76/1057 [=>............................] - ETA: 2:16 - loss: 268.6552 - logits_profile_predictions_loss: 264.8779 - logcount_predictions_loss: 0.3530 77/1057 [=>............................] - ETA: 2:16 - loss: 268.6342 - logits_profile_predictions_loss: 264.8563 - logcount_predictions_loss: 0.3531 78/1057 [=>............................] - ETA: 2:16 - loss: 268.6158 - logits_profile_predictions_loss: 264.8371 - logcount_predictions_loss: 0.3532 79/1057 [=>............................] - ETA: 2:15 - loss: 268.5948 - logits_profile_predictions_loss: 264.8151 - logcount_predictions_loss: 0.3532 80/1057 [=>............................] - ETA: 2:15 - loss: 268.5738 - logits_profile_predictions_loss: 264.7932 - logcount_predictions_loss: 0.3533 81/1057 [=>............................] - ETA: 2:15 - loss: 268.5574 - logits_profile_predictions_loss: 264.7760 - logcount_predictions_loss: 0.3534 82/1057 [=>............................] - ETA: 2:15 - loss: 268.5466 - logits_profile_predictions_loss: 264.7643 - logcount_predictions_loss: 0.3535 83/1057 [=>............................] - ETA: 2:15 - loss: 268.5358 - logits_profile_predictions_loss: 264.7525 - logcount_predictions_loss: 0.3536 84/1057 [=>............................] - ETA: 2:15 - loss: 268.5217 - logits_profile_predictions_loss: 264.7377 - logcount_predictions_loss: 0.3536 85/1057 [=>............................] - ETA: 2:15 - loss: 268.5086 - logits_profile_predictions_loss: 264.7238 - logcount_predictions_loss: 0.3537 86/1057 [=>............................] - ETA: 2:14 - loss: 268.4979 - logits_profile_predictions_loss: 264.7124 - logcount_predictions_loss: 0.3538 87/1057 [=>............................] - ETA: 2:14 - loss: 268.4887 - logits_profile_predictions_loss: 264.7025 - logcount_predictions_loss: 0.3538 88/1057 [=>............................] - ETA: 2:14 - loss: 268.4775 - logits_profile_predictions_loss: 264.6906 - logcount_predictions_loss: 0.3539 89/1057 [=>............................] - ETA: 2:14 - loss: 268.4653 - logits_profile_predictions_loss: 264.6778 - logcount_predictions_loss: 0.3540 90/1057 [=>............................] - ETA: 2:14 - loss: 268.4551 - logits_profile_predictions_loss: 264.6671 - logcount_predictions_loss: 0.3540 91/1057 [=>............................] - ETA: 2:14 - loss: 268.4455 - logits_profile_predictions_loss: 264.6570 - logcount_predictions_loss: 0.3541 92/1057 [=>............................] - ETA: 2:14 - loss: 268.4363 - logits_profile_predictions_loss: 264.6475 - logcount_predictions_loss: 0.3541 93/1057 [=>............................] - ETA: 2:13 - loss: 268.4306 - logits_profile_predictions_loss: 264.6412 - logcount_predictions_loss: 0.3541 94/1057 [=>............................] - ETA: 2:13 - loss: 268.4253 - logits_profile_predictions_loss: 264.6355 - logcount_predictions_loss: 0.3542 95/1057 [=>............................] - ETA: 2:13 - loss: 268.4192 - logits_profile_predictions_loss: 264.6288 - logcount_predictions_loss: 0.3542 96/1057 [=>............................] - ETA: 2:13 - loss: 268.4141 - logits_profile_predictions_loss: 264.6232 - logcount_predictions_loss: 0.3543 97/1057 [=>............................] - ETA: 2:13 - loss: 268.4056 - logits_profile_predictions_loss: 264.6143 - logcount_predictions_loss: 0.3543 98/1057 [=>............................] - ETA: 2:13 - loss: 268.3979 - logits_profile_predictions_loss: 264.6062 - logcount_predictions_loss: 0.3544 99/1057 [=>............................] - ETA: 2:13 - loss: 268.3892 - logits_profile_predictions_loss: 264.5970 - logcount_predictions_loss: 0.3544 100/1057 [=>............................] - ETA: 2:13 - loss: 268.3777 - logits_profile_predictions_loss: 264.5853 - logcount_predictions_loss: 0.3544 101/1057 [=>............................] - ETA: 2:12 - loss: 268.3654 - logits_profile_predictions_loss: 264.5727 - logcount_predictions_loss: 0.3545 102/1057 [=>............................] - ETA: 2:12 - loss: 268.3534 - logits_profile_predictions_loss: 264.5603 - logcount_predictions_loss: 0.3545 103/1057 [=>............................] - ETA: 2:12 - loss: 268.3397 - logits_profile_predictions_loss: 264.5464 - logcount_predictions_loss: 0.3545 104/1057 [=>............................] - ETA: 2:12 - loss: 268.3281 - logits_profile_predictions_loss: 264.5344 - logcount_predictions_loss: 0.3545 105/1057 [=>............................] - ETA: 2:12 - loss: 268.3147 - logits_profile_predictions_loss: 264.5207 - logcount_predictions_loss: 0.3546 106/1057 [==>...........................] - ETA: 2:12 - loss: 268.3027 - logits_profile_predictions_loss: 264.5084 - logcount_predictions_loss: 0.3546 107/1057 [==>...........................] - ETA: 2:12 - loss: 268.2895 - logits_profile_predictions_loss: 264.4950 - logcount_predictions_loss: 0.3546 108/1057 [==>...........................] - ETA: 2:11 - loss: 268.2788 - logits_profile_predictions_loss: 264.4842 - logcount_predictions_loss: 0.3546 109/1057 [==>...........................] - ETA: 2:11 - loss: 268.2701 - logits_profile_predictions_loss: 264.4753 - logcount_predictions_loss: 0.3546 110/1057 [==>...........................] - ETA: 2:11 - loss: 268.2630 - logits_profile_predictions_loss: 264.4681 - logcount_predictions_loss: 0.3547 111/1057 [==>...........................] - ETA: 2:11 - loss: 268.2553 - logits_profile_predictions_loss: 264.4603 - logcount_predictions_loss: 0.3547 112/1057 [==>...........................] - ETA: 2:11 - loss: 268.2494 - logits_profile_predictions_loss: 264.4543 - logcount_predictions_loss: 0.3547 113/1057 [==>...........................] - ETA: 2:11 - loss: 268.2440 - logits_profile_predictions_loss: 264.4490 - logcount_predictions_loss: 0.3547 114/1057 [==>...........................] - ETA: 2:11 - loss: 268.2371 - logits_profile_predictions_loss: 264.4422 - logcount_predictions_loss: 0.3547 115/1057 [==>...........................] - ETA: 2:10 - loss: 268.2300 - logits_profile_predictions_loss: 264.4351 - logcount_predictions_loss: 0.3547 116/1057 [==>...........................] - ETA: 2:10 - loss: 268.2251 - logits_profile_predictions_loss: 264.4303 - logcount_predictions_loss: 0.3546 117/1057 [==>...........................] - ETA: 2:10 - loss: 268.2208 - logits_profile_predictions_loss: 264.4261 - logcount_predictions_loss: 0.3546 118/1057 [==>...........................] - ETA: 2:10 - loss: 268.2173 - logits_profile_predictions_loss: 264.4227 - logcount_predictions_loss: 0.3546 119/1057 [==>...........................] - ETA: 2:10 - loss: 268.2144 - logits_profile_predictions_loss: 264.4198 - logcount_predictions_loss: 0.3546 120/1057 [==>...........................] - ETA: 2:10 - loss: 268.2108 - logits_profile_predictions_loss: 264.4163 - logcount_predictions_loss: 0.3546 121/1057 [==>...........................] - ETA: 2:10 - loss: 268.2085 - logits_profile_predictions_loss: 264.4140 - logcount_predictions_loss: 0.3546 122/1057 [==>...........................] - ETA: 2:09 - loss: 268.2079 - logits_profile_predictions_loss: 264.4135 - logcount_predictions_loss: 0.3546 123/1057 [==>...........................] - ETA: 2:09 - loss: 268.2075 - logits_profile_predictions_loss: 264.4131 - logcount_predictions_loss: 0.3546 124/1057 [==>...........................] - ETA: 2:09 - loss: 268.2071 - logits_profile_predictions_loss: 264.4128 - logcount_predictions_loss: 0.3546 125/1057 [==>...........................] - ETA: 2:09 - loss: 268.2075 - logits_profile_predictions_loss: 264.4132 - logcount_predictions_loss: 0.3546 126/1057 [==>...........................] - ETA: 2:09 - loss: 268.2075 - logits_profile_predictions_loss: 264.4134 - logcount_predictions_loss: 0.3546 127/1057 [==>...........................] - ETA: 2:09 - loss: 268.2085 - logits_profile_predictions_loss: 264.4146 - logcount_predictions_loss: 0.3546 128/1057 [==>...........................] - ETA: 2:09 - loss: 268.2100 - logits_profile_predictions_loss: 264.4161 - logcount_predictions_loss: 0.3546 129/1057 [==>...........................] - ETA: 2:08 - loss: 268.2123 - logits_profile_predictions_loss: 264.4184 - logcount_predictions_loss: 0.3546 130/1057 [==>...........................] - ETA: 2:08 - loss: 268.2144 - logits_profile_predictions_loss: 264.4206 - logcount_predictions_loss: 0.3546 131/1057 [==>...........................] - ETA: 2:08 - loss: 268.2164 - logits_profile_predictions_loss: 264.4227 - logcount_predictions_loss: 0.3545 132/1057 [==>...........................] - ETA: 2:08 - loss: 268.2183 - logits_profile_predictions_loss: 264.4247 - logcount_predictions_loss: 0.3545 133/1057 [==>...........................] - ETA: 2:08 - loss: 268.2200 - logits_profile_predictions_loss: 264.4265 - logcount_predictions_loss: 0.3545 134/1057 [==>...........................] - ETA: 2:08 - loss: 268.2235 - logits_profile_predictions_loss: 264.4301 - logcount_predictions_loss: 0.3545 135/1057 [==>...........................] - ETA: 2:08 - loss: 268.2280 - logits_profile_predictions_loss: 264.4348 - logcount_predictions_loss: 0.3545 136/1057 [==>...........................] - ETA: 2:08 - loss: 268.2312 - logits_profile_predictions_loss: 264.4380 - logcount_predictions_loss: 0.3545 137/1057 [==>...........................] - ETA: 2:07 - loss: 268.2333 - logits_profile_predictions_loss: 264.4402 - logcount_predictions_loss: 0.3545 138/1057 [==>...........................] - ETA: 2:07 - loss: 268.2351 - logits_profile_predictions_loss: 264.4421 - logcount_predictions_loss: 0.3545 139/1057 [==>...........................] - ETA: 2:07 - loss: 268.2367 - logits_profile_predictions_loss: 264.4438 - logcount_predictions_loss: 0.3545 140/1057 [==>...........................] - ETA: 2:07 - loss: 268.2389 - logits_profile_predictions_loss: 264.4461 - logcount_predictions_loss: 0.3545 141/1057 [===>..........................] - ETA: 2:07 - loss: 268.2423 - logits_profile_predictions_loss: 264.4495 - logcount_predictions_loss: 0.3545 142/1057 [===>..........................] - ETA: 2:07 - loss: 268.2442 - logits_profile_predictions_loss: 264.4515 - logcount_predictions_loss: 0.3544 143/1057 [===>..........................] - ETA: 2:07 - loss: 268.2466 - logits_profile_predictions_loss: 264.4540 - logcount_predictions_loss: 0.3544 144/1057 [===>..........................] - ETA: 2:06 - loss: 268.2507 - logits_profile_predictions_loss: 264.4583 - logcount_predictions_loss: 0.3544 145/1057 [===>..........................] - ETA: 2:06 - loss: 268.2547 - logits_profile_predictions_loss: 264.4624 - logcount_predictions_loss: 0.3544 146/1057 [===>..........................] - ETA: 2:06 - loss: 268.2590 - logits_profile_predictions_loss: 264.4668 - logcount_predictions_loss: 0.3544 147/1057 [===>..........................] - ETA: 2:06 - loss: 268.2630 - logits_profile_predictions_loss: 264.4708 - logcount_predictions_loss: 0.3544 148/1057 [===>..........................] - ETA: 2:06 - loss: 268.2673 - logits_profile_predictions_loss: 264.4752 - logcount_predictions_loss: 0.3544 149/1057 [===>..........................] - ETA: 2:06 - loss: 268.2711 - logits_profile_predictions_loss: 264.4791 - logcount_predictions_loss: 0.3544 150/1057 [===>..........................] - ETA: 2:06 - loss: 268.2765 - logits_profile_predictions_loss: 264.4847 - logcount_predictions_loss: 0.3544 151/1057 [===>..........................] - ETA: 2:05 - loss: 268.2823 - logits_profile_predictions_loss: 264.4907 - logcount_predictions_loss: 0.3543 152/1057 [===>..........................] - ETA: 2:05 - loss: 268.2866 - logits_profile_predictions_loss: 264.4953 - logcount_predictions_loss: 0.3543 153/1057 [===>..........................] - ETA: 2:05 - loss: 268.2925 - logits_profile_predictions_loss: 264.5014 - logcount_predictions_loss: 0.3543 154/1057 [===>..........................] - ETA: 2:05 - loss: 268.2973 - logits_profile_predictions_loss: 264.5064 - logcount_predictions_loss: 0.3543 155/1057 [===>..........................] - ETA: 2:05 - loss: 268.3014 - logits_profile_predictions_loss: 264.5109 - logcount_predictions_loss: 0.3543 156/1057 [===>..........................] - ETA: 2:05 - loss: 268.3058 - logits_profile_predictions_loss: 264.5156 - logcount_predictions_loss: 0.3542 157/1057 [===>..........................] - ETA: 2:05 - loss: 268.3108 - logits_profile_predictions_loss: 264.5208 - logcount_predictions_loss: 0.3542 158/1057 [===>..........................] - ETA: 2:04 - loss: 268.3160 - logits_profile_predictions_loss: 264.5263 - logcount_predictions_loss: 0.3542 159/1057 [===>..........................] - ETA: 2:04 - loss: 268.3201 - logits_profile_predictions_loss: 264.5307 - logcount_predictions_loss: 0.3541 160/1057 [===>..........................] - ETA: 2:04 - loss: 268.3235 - logits_profile_predictions_loss: 264.5344 - logcount_predictions_loss: 0.3541 161/1057 [===>..........................] - ETA: 2:04 - loss: 268.3281 - logits_profile_predictions_loss: 264.5393 - logcount_predictions_loss: 0.3541 162/1057 [===>..........................] - ETA: 2:04 - loss: 268.3332 - logits_profile_predictions_loss: 264.5447 - logcount_predictions_loss: 0.3541 163/1057 [===>..........................] - ETA: 2:04 - loss: 268.3398 - logits_profile_predictions_loss: 264.5516 - logcount_predictions_loss: 0.3540 164/1057 [===>..........................] - ETA: 2:04 - loss: 268.3474 - logits_profile_predictions_loss: 264.5595 - logcount_predictions_loss: 0.3540 165/1057 [===>..........................] - ETA: 2:03 - loss: 268.3548 - logits_profile_predictions_loss: 264.5672 - logcount_predictions_loss: 0.3540 166/1057 [===>..........................] - ETA: 2:03 - loss: 268.3620 - logits_profile_predictions_loss: 264.5747 - logcount_predictions_loss: 0.3539 167/1057 [===>..........................] - ETA: 2:03 - loss: 268.3684 - logits_profile_predictions_loss: 264.5814 - logcount_predictions_loss: 0.3539 168/1057 [===>..........................] - ETA: 2:03 - loss: 268.3745 - logits_profile_predictions_loss: 264.5878 - logcount_predictions_loss: 0.3539 169/1057 [===>..........................] - ETA: 2:03 - loss: 268.3810 - logits_profile_predictions_loss: 264.5946 - logcount_predictions_loss: 0.3539 170/1057 [===>..........................] - ETA: 2:03 - loss: 268.3871 - logits_profile_predictions_loss: 264.6010 - logcount_predictions_loss: 0.3538 171/1057 [===>..........................] - ETA: 2:03 - loss: 268.3934 - logits_profile_predictions_loss: 264.6077 - logcount_predictions_loss: 0.3538 172/1057 [===>..........................] - ETA: 2:02 - loss: 268.3989 - logits_profile_predictions_loss: 264.6134 - logcount_predictions_loss: 0.3538 173/1057 [===>..........................] - ETA: 2:02 - loss: 268.4037 - logits_profile_predictions_loss: 264.6185 - logcount_predictions_loss: 0.3537 174/1057 [===>..........................] - ETA: 2:02 - loss: 268.4081 - logits_profile_predictions_loss: 264.6232 - logcount_predictions_loss: 0.3537 175/1057 [===>..........................] - ETA: 2:02 - loss: 268.4124 - logits_profile_predictions_loss: 264.6278 - logcount_predictions_loss: 0.3537 176/1057 [===>..........................] - ETA: 2:02 - loss: 268.4168 - logits_profile_predictions_loss: 264.6324 - logcount_predictions_loss: 0.3537 177/1057 [====>.........................] - ETA: 2:02 - loss: 268.4205 - logits_profile_predictions_loss: 264.6364 - logcount_predictions_loss: 0.3536 178/1057 [====>.........................] - ETA: 2:02 - loss: 268.4245 - logits_profile_predictions_loss: 264.6407 - logcount_predictions_loss: 0.3536 179/1057 [====>.........................] - ETA: 2:02 - loss: 268.4277 - logits_profile_predictions_loss: 264.6442 - logcount_predictions_loss: 0.3536 180/1057 [====>.........................] - ETA: 2:01 - loss: 268.4321 - logits_profile_predictions_loss: 264.6489 - logcount_predictions_loss: 0.3536 181/1057 [====>.........................] - ETA: 2:01 - loss: 268.4363 - logits_profile_predictions_loss: 264.6533 - logcount_predictions_loss: 0.3535 182/1057 [====>.........................] - ETA: 2:01 - loss: 268.4411 - logits_profile_predictions_loss: 264.6585 - logcount_predictions_loss: 0.3535 183/1057 [====>.........................] - ETA: 2:01 - loss: 268.4460 - logits_profile_predictions_loss: 264.6636 - logcount_predictions_loss: 0.3535 184/1057 [====>.........................] - ETA: 2:01 - loss: 268.4502 - logits_profile_predictions_loss: 264.6681 - logcount_predictions_loss: 0.3535 185/1057 [====>.........................] - ETA: 2:01 - loss: 268.4534 - logits_profile_predictions_loss: 264.6715 - logcount_predictions_loss: 0.3534 186/1057 [====>.........................] - ETA: 2:01 - loss: 268.4566 - logits_profile_predictions_loss: 264.6750 - logcount_predictions_loss: 0.3534 187/1057 [====>.........................] - ETA: 2:00 - loss: 268.4594 - logits_profile_predictions_loss: 264.6780 - logcount_predictions_loss: 0.3534 188/1057 [====>.........................] - ETA: 2:00 - loss: 268.4628 - logits_profile_predictions_loss: 264.6817 - logcount_predictions_loss: 0.3534 189/1057 [====>.........................] - ETA: 2:00 - loss: 268.4665 - 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[====>.........................] - ETA: 1:59 - loss: 268.4895 - logits_profile_predictions_loss: 264.7105 - logcount_predictions_loss: 0.3532 197/1057 [====>.........................] - ETA: 1:59 - loss: 268.4930 - logits_profile_predictions_loss: 264.7143 - logcount_predictions_loss: 0.3531 198/1057 [====>.........................] - ETA: 1:59 - loss: 268.4953 - logits_profile_predictions_loss: 264.7169 - logcount_predictions_loss: 0.3531 199/1057 [====>.........................] - ETA: 1:59 - loss: 268.4981 - logits_profile_predictions_loss: 264.7199 - logcount_predictions_loss: 0.3531 200/1057 [====>.........................] - ETA: 1:59 - loss: 268.5009 - logits_profile_predictions_loss: 264.7231 - logcount_predictions_loss: 0.3531 201/1057 [====>.........................] - ETA: 1:58 - loss: 268.5041 - logits_profile_predictions_loss: 264.7265 - logcount_predictions_loss: 0.3530 202/1057 [====>.........................] - ETA: 1:58 - loss: 268.5079 - 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[====>.........................] - ETA: 1:57 - loss: 268.5282 - logits_profile_predictions_loss: 264.7528 - logcount_predictions_loss: 0.3528 210/1057 [====>.........................] - ETA: 1:57 - loss: 268.5308 - logits_profile_predictions_loss: 264.7556 - logcount_predictions_loss: 0.3528 211/1057 [====>.........................] - ETA: 1:57 - loss: 268.5333 - logits_profile_predictions_loss: 264.7584 - logcount_predictions_loss: 0.3528 212/1057 [=====>........................] - ETA: 1:57 - loss: 268.5349 - logits_profile_predictions_loss: 264.7603 - logcount_predictions_loss: 0.3528 213/1057 [=====>........................] - ETA: 1:57 - loss: 268.5364 - logits_profile_predictions_loss: 264.7620 - logcount_predictions_loss: 0.3527 214/1057 [=====>........................] - ETA: 1:57 - loss: 268.5372 - logits_profile_predictions_loss: 264.7631 - logcount_predictions_loss: 0.3527 215/1057 [=====>........................] - ETA: 1:57 - loss: 268.5379 - 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[=====>........................] - ETA: 1:56 - loss: 268.5483 - logits_profile_predictions_loss: 264.7763 - logcount_predictions_loss: 0.3525 223/1057 [=====>........................] - ETA: 1:55 - loss: 268.5500 - logits_profile_predictions_loss: 264.7782 - logcount_predictions_loss: 0.3525 224/1057 [=====>........................] - ETA: 1:55 - loss: 268.5515 - logits_profile_predictions_loss: 264.7800 - logcount_predictions_loss: 0.3525 225/1057 [=====>........................] - ETA: 1:55 - loss: 268.5538 - logits_profile_predictions_loss: 264.7826 - logcount_predictions_loss: 0.3524 226/1057 [=====>........................] - ETA: 1:55 - loss: 268.5560 - logits_profile_predictions_loss: 264.7850 - logcount_predictions_loss: 0.3524 227/1057 [=====>........................] - ETA: 1:55 - loss: 268.5578 - logits_profile_predictions_loss: 264.7870 - logcount_predictions_loss: 0.3524 228/1057 [=====>........................] - ETA: 1:55 - loss: 268.5599 - 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[=====>........................] - ETA: 1:54 - loss: 268.5724 - logits_profile_predictions_loss: 264.8031 - logcount_predictions_loss: 0.3523 236/1057 [=====>........................] - ETA: 1:54 - loss: 268.5737 - logits_profile_predictions_loss: 264.8046 - logcount_predictions_loss: 0.3522 237/1057 [=====>........................] - ETA: 1:53 - loss: 268.5749 - logits_profile_predictions_loss: 264.8060 - logcount_predictions_loss: 0.3522 238/1057 [=====>........................] - ETA: 1:53 - loss: 268.5761 - logits_profile_predictions_loss: 264.8072 - logcount_predictions_loss: 0.3522 239/1057 [=====>........................] - ETA: 1:53 - loss: 268.5770 - logits_profile_predictions_loss: 264.8083 - logcount_predictions_loss: 0.3522 240/1057 [=====>........................] - ETA: 1:53 - loss: 268.5779 - logits_profile_predictions_loss: 264.8093 - logcount_predictions_loss: 0.3522 241/1057 [=====>........................] - ETA: 1:53 - loss: 268.5789 - 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[======>.......................] - ETA: 1:52 - loss: 268.5854 - logits_profile_predictions_loss: 264.8182 - logcount_predictions_loss: 0.3521 249/1057 [======>.......................] - ETA: 1:52 - loss: 268.5861 - logits_profile_predictions_loss: 264.8192 - logcount_predictions_loss: 0.3520 250/1057 [======>.......................] - ETA: 1:52 - loss: 268.5866 - logits_profile_predictions_loss: 264.8198 - logcount_predictions_loss: 0.3520 251/1057 [======>.......................] - ETA: 1:51 - loss: 268.5865 - logits_profile_predictions_loss: 264.8199 - logcount_predictions_loss: 0.3520 252/1057 [======>.......................] - ETA: 1:51 - loss: 268.5865 - logits_profile_predictions_loss: 264.8201 - logcount_predictions_loss: 0.3520 253/1057 [======>.......................] - ETA: 1:51 - loss: 268.5863 - logits_profile_predictions_loss: 264.8201 - logcount_predictions_loss: 0.3520 254/1057 [======>.......................] - ETA: 1:51 - loss: 268.5866 - 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[======>.......................] - ETA: 1:50 - loss: 268.5897 - logits_profile_predictions_loss: 264.8246 - logcount_predictions_loss: 0.3519 262/1057 [======>.......................] - ETA: 1:50 - loss: 268.5897 - logits_profile_predictions_loss: 264.8247 - logcount_predictions_loss: 0.3519 263/1057 [======>.......................] - ETA: 1:50 - loss: 268.5898 - logits_profile_predictions_loss: 264.8249 - logcount_predictions_loss: 0.3519 264/1057 [======>.......................] - ETA: 1:50 - loss: 268.5895 - logits_profile_predictions_loss: 264.8247 - logcount_predictions_loss: 0.3518 265/1057 [======>.......................] - ETA: 1:50 - loss: 268.5889 - logits_profile_predictions_loss: 264.8242 - logcount_predictions_loss: 0.3518 266/1057 [======>.......................] - ETA: 1:49 - loss: 268.5888 - logits_profile_predictions_loss: 264.8242 - logcount_predictions_loss: 0.3518 267/1057 [======>.......................] - ETA: 1:49 - loss: 268.5885 - 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[======>.......................] - ETA: 1:48 - loss: 268.5901 - logits_profile_predictions_loss: 264.8260 - logcount_predictions_loss: 0.3518 275/1057 [======>.......................] - ETA: 1:48 - loss: 268.5903 - logits_profile_predictions_loss: 264.8263 - logcount_predictions_loss: 0.3518 276/1057 [======>.......................] - ETA: 1:48 - loss: 268.5910 - logits_profile_predictions_loss: 264.8270 - logcount_predictions_loss: 0.3518 277/1057 [======>.......................] - ETA: 1:48 - loss: 268.5913 - logits_profile_predictions_loss: 264.8273 - logcount_predictions_loss: 0.3518 278/1057 [======>.......................] - ETA: 1:48 - loss: 268.5916 - logits_profile_predictions_loss: 264.8277 - logcount_predictions_loss: 0.3518 279/1057 [======>.......................] - ETA: 1:48 - loss: 268.5921 - logits_profile_predictions_loss: 264.8282 - logcount_predictions_loss: 0.3518 280/1057 [======>.......................] - ETA: 1:47 - loss: 268.5924 - 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logits_profile_predictions_loss: 264.0104 - logcount_predictions_loss: 0.3519 1036/1057 [============================>.] - ETA: 2s - loss: 267.7749 - logits_profile_predictions_loss: 264.0099 - logcount_predictions_loss: 0.3518 1037/1057 [============================>.] - ETA: 2s - loss: 267.7744 - logits_profile_predictions_loss: 264.0094 - logcount_predictions_loss: 0.3518 1038/1057 [============================>.] - ETA: 2s - loss: 267.7738 - logits_profile_predictions_loss: 264.0088 - logcount_predictions_loss: 0.3518 1039/1057 [============================>.] - ETA: 2s - loss: 267.7733 - logits_profile_predictions_loss: 264.0083 - logcount_predictions_loss: 0.3518 1040/1057 [============================>.] - ETA: 2s - loss: 267.7728 - logits_profile_predictions_loss: 264.0078 - logcount_predictions_loss: 0.3518 1041/1057 [============================>.] - ETA: 2s - loss: 267.7723 - logits_profile_predictions_loss: 264.0074 - logcount_predictions_loss: 0.3518 1042/1057 [============================>.] - ETA: 2s - loss: 267.7718 - logits_profile_predictions_loss: 264.0069 - logcount_predictions_loss: 0.3518 1043/1057 [============================>.] - ETA: 1s - loss: 267.7713 - logits_profile_predictions_loss: 264.0064 - logcount_predictions_loss: 0.3518 1044/1057 [============================>.] - ETA: 1s - loss: 267.7708 - logits_profile_predictions_loss: 264.0059 - logcount_predictions_loss: 0.3518 1045/1057 [============================>.] - ETA: 1s - loss: 267.7703 - logits_profile_predictions_loss: 264.0053 - logcount_predictions_loss: 0.3518 1046/1057 [============================>.] - ETA: 1s - loss: 267.7698 - logits_profile_predictions_loss: 264.0048 - logcount_predictions_loss: 0.3518 1047/1057 [============================>.] - ETA: 1s - loss: 267.7692 - logits_profile_predictions_loss: 264.0043 - logcount_predictions_loss: 0.3518 1048/1057 [============================>.] - ETA: 1s - loss: 267.7687 - logits_profile_predictions_loss: 264.0038 - logcount_predictions_loss: 0.3518 1049/1057 [============================>.] - ETA: 1s - loss: 267.7682 - logits_profile_predictions_loss: 264.0033 - logcount_predictions_loss: 0.3518 1050/1057 [============================>.] - ETA: 0s - loss: 267.7677 - logits_profile_predictions_loss: 264.0028 - logcount_predictions_loss: 0.3518 1051/1057 [============================>.] - ETA: 0s - loss: 267.7671 - logits_profile_predictions_loss: 264.0023 - logcount_predictions_loss: 0.3518 1052/1057 [============================>.] - ETA: 0s - loss: 267.7666 - logits_profile_predictions_loss: 264.0018 - logcount_predictions_loss: 0.3518 1053/1057 [============================>.] - ETA: 0s - loss: 267.7661 - logits_profile_predictions_loss: 264.0012 - logcount_predictions_loss: 0.3518 1054/1057 [============================>.] - ETA: 0s - loss: 267.7656 - logits_profile_predictions_loss: 264.0007 - logcount_predictions_loss: 0.3518 1055/1057 [============================>.] - ETA: 0s - loss: 267.7650 - logits_profile_predictions_loss: 264.0002 - logcount_predictions_loss: 0.3518 1056/1057 [============================>.] - ETA: 0s - loss: 267.7645 - logits_profile_predictions_loss: 263.9996 - logcount_predictions_loss: 0.3518 1057/1057 [==============================] - ETA: 0s - loss: 267.7639 - logits_profile_predictions_loss: 263.9991 - logcount_predictions_loss: 0.3518 1057/1057 [==============================] - 156s 147ms/step - loss: 267.7633 - logits_profile_predictions_loss: 263.9985 - logcount_predictions_loss: 0.3518 - val_loss: 292.6701 - val_logits_profile_predictions_loss: 288.3245 - val_logcount_predictions_loss: 0.4061 + +Epoch 00004: val_loss did not improve from 292.44363 +Epoch 5/50 + 1/1057 [..............................] - ETA: 2:43 - loss: 299.7142 - logits_profile_predictions_loss: 294.5076 - logcount_predictions_loss: 0.4866 2/1057 [..............................] - ETA: 2:32 - loss: 286.8681 - logits_profile_predictions_loss: 282.4116 - logcount_predictions_loss: 0.4165 3/1057 [..............................] - ETA: 2:29 - loss: 280.6078 - logits_profile_predictions_loss: 276.3750 - logcount_predictions_loss: 0.3956 4/1057 [..............................] - ETA: 2:28 - loss: 278.5299 - logits_profile_predictions_loss: 274.3443 - logcount_predictions_loss: 0.3912 5/1057 [..............................] - ETA: 2:28 - loss: 277.6594 - logits_profile_predictions_loss: 273.5331 - logcount_predictions_loss: 0.3856 6/1057 [..............................] - ETA: 2:27 - loss: 276.2441 - logits_profile_predictions_loss: 272.1721 - logcount_predictions_loss: 0.3806 7/1057 [..............................] - ETA: 2:27 - loss: 275.0188 - logits_profile_predictions_loss: 270.9850 - logcount_predictions_loss: 0.3770 8/1057 [..............................] - ETA: 2:26 - loss: 274.2129 - logits_profile_predictions_loss: 270.2180 - logcount_predictions_loss: 0.3733 9/1057 [..............................] - ETA: 2:26 - loss: 273.7578 - logits_profile_predictions_loss: 269.7971 - logcount_predictions_loss: 0.3702 10/1057 [..............................] - ETA: 2:26 - loss: 273.6955 - logits_profile_predictions_loss: 269.7693 - logcount_predictions_loss: 0.3669 11/1057 [..............................] - ETA: 2:26 - loss: 273.4784 - logits_profile_predictions_loss: 269.5834 - logcount_predictions_loss: 0.3640 12/1057 [..............................] - ETA: 2:25 - loss: 273.2979 - logits_profile_predictions_loss: 269.4296 - logcount_predictions_loss: 0.3615 13/1057 [..............................] - ETA: 2:25 - loss: 273.0832 - logits_profile_predictions_loss: 269.2334 - logcount_predictions_loss: 0.3598 14/1057 [..............................] - ETA: 2:25 - loss: 272.7789 - logits_profile_predictions_loss: 268.9458 - logcount_predictions_loss: 0.3582 15/1057 [..............................] - ETA: 2:25 - loss: 272.4929 - logits_profile_predictions_loss: 268.6739 - logcount_predictions_loss: 0.3569 16/1057 [..............................] - ETA: 2:25 - loss: 272.2563 - logits_profile_predictions_loss: 268.4492 - logcount_predictions_loss: 0.3558 17/1057 [..............................] - ETA: 2:24 - loss: 272.0494 - logits_profile_predictions_loss: 268.2505 - logcount_predictions_loss: 0.3550 18/1057 [..............................] - ETA: 2:24 - loss: 271.8317 - logits_profile_predictions_loss: 268.0423 - logcount_predictions_loss: 0.3541 19/1057 [..............................] - ETA: 2:24 - loss: 271.7108 - logits_profile_predictions_loss: 267.9318 - logcount_predictions_loss: 0.3532 20/1057 [..............................] - ETA: 2:24 - loss: 271.6034 - logits_profile_predictions_loss: 267.8343 - logcount_predictions_loss: 0.3523 21/1057 [..............................] - ETA: 2:24 - loss: 271.5188 - logits_profile_predictions_loss: 267.7568 - logcount_predictions_loss: 0.3516 22/1057 [..............................] - ETA: 2:24 - loss: 271.4087 - logits_profile_predictions_loss: 267.6528 - logcount_predictions_loss: 0.3510 23/1057 [..............................] - ETA: 2:23 - loss: 271.3092 - logits_profile_predictions_loss: 267.5589 - logcount_predictions_loss: 0.3505 24/1057 [..............................] - ETA: 2:23 - loss: 271.2080 - logits_profile_predictions_loss: 267.4651 - logcount_predictions_loss: 0.3498 25/1057 [..............................] - ETA: 2:23 - loss: 271.1493 - logits_profile_predictions_loss: 267.4136 - logcount_predictions_loss: 0.3491 26/1057 [..............................] - ETA: 2:23 - loss: 271.0679 - logits_profile_predictions_loss: 267.3385 - logcount_predictions_loss: 0.3485 27/1057 [..............................] - ETA: 2:23 - loss: 270.9790 - logits_profile_predictions_loss: 267.2566 - logcount_predictions_loss: 0.3479 28/1057 [..............................] - ETA: 2:23 - loss: 270.8639 - logits_profile_predictions_loss: 267.1480 - logcount_predictions_loss: 0.3473 29/1057 [..............................] - ETA: 2:23 - loss: 270.7597 - logits_profile_predictions_loss: 267.0499 - logcount_predictions_loss: 0.3467 30/1057 [..............................] - ETA: 2:22 - loss: 270.6680 - logits_profile_predictions_loss: 266.9629 - logcount_predictions_loss: 0.3463 31/1057 [..............................] - ETA: 2:22 - loss: 270.5851 - logits_profile_predictions_loss: 266.8853 - logcount_predictions_loss: 0.3458 32/1057 [..............................] - ETA: 2:22 - loss: 270.5139 - logits_profile_predictions_loss: 266.8195 - logcount_predictions_loss: 0.3453 33/1057 [..............................] - ETA: 2:22 - loss: 270.4282 - logits_profile_predictions_loss: 266.7372 - logcount_predictions_loss: 0.3449 34/1057 [..............................] - ETA: 2:22 - loss: 270.3239 - logits_profile_predictions_loss: 266.6370 - logcount_predictions_loss: 0.3446 35/1057 [..............................] - ETA: 2:22 - loss: 270.1938 - logits_profile_predictions_loss: 266.5103 - logcount_predictions_loss: 0.3443 36/1057 [>.............................] - ETA: 2:22 - loss: 270.0616 - logits_profile_predictions_loss: 266.3804 - logcount_predictions_loss: 0.3440 37/1057 [>.............................] - ETA: 2:21 - loss: 269.9432 - logits_profile_predictions_loss: 266.2634 - logcount_predictions_loss: 0.3439 38/1057 [>.............................] - ETA: 2:21 - loss: 269.8614 - logits_profile_predictions_loss: 266.1831 - logcount_predictions_loss: 0.3438 39/1057 [>.............................] - ETA: 2:21 - loss: 269.7753 - logits_profile_predictions_loss: 266.0983 - logcount_predictions_loss: 0.3436 40/1057 [>.............................] - ETA: 2:21 - loss: 269.7015 - logits_profile_predictions_loss: 266.0252 - logcount_predictions_loss: 0.3436 41/1057 [>.............................] - ETA: 2:21 - loss: 269.6269 - logits_profile_predictions_loss: 265.9518 - logcount_predictions_loss: 0.3435 42/1057 [>.............................] - ETA: 2:21 - loss: 269.5612 - logits_profile_predictions_loss: 265.8872 - logcount_predictions_loss: 0.3434 43/1057 [>.............................] - ETA: 2:21 - loss: 269.4813 - logits_profile_predictions_loss: 265.8083 - logcount_predictions_loss: 0.3433 44/1057 [>.............................] - ETA: 2:20 - loss: 269.4045 - logits_profile_predictions_loss: 265.7315 - logcount_predictions_loss: 0.3433 45/1057 [>.............................] - ETA: 2:20 - loss: 269.3359 - logits_profile_predictions_loss: 265.6625 - logcount_predictions_loss: 0.3433 46/1057 [>.............................] - ETA: 2:20 - loss: 269.2672 - logits_profile_predictions_loss: 265.5939 - logcount_predictions_loss: 0.3433 47/1057 [>.............................] - ETA: 2:20 - loss: 269.2031 - logits_profile_predictions_loss: 265.5296 - logcount_predictions_loss: 0.3433 48/1057 [>.............................] - ETA: 2:20 - loss: 269.1350 - logits_profile_predictions_loss: 265.4606 - logcount_predictions_loss: 0.3434 49/1057 [>.............................] - ETA: 2:20 - loss: 269.0746 - logits_profile_predictions_loss: 265.3997 - logcount_predictions_loss: 0.3434 50/1057 [>.............................] - ETA: 2:19 - loss: 269.0095 - logits_profile_predictions_loss: 265.3342 - logcount_predictions_loss: 0.3435 51/1057 [>.............................] - ETA: 2:19 - loss: 268.9540 - logits_profile_predictions_loss: 265.2781 - logcount_predictions_loss: 0.3435 52/1057 [>.............................] - ETA: 2:19 - loss: 268.9073 - logits_profile_predictions_loss: 265.2307 - logcount_predictions_loss: 0.3436 53/1057 [>.............................] - ETA: 2:19 - loss: 268.8672 - logits_profile_predictions_loss: 265.1901 - logcount_predictions_loss: 0.3437 54/1057 [>.............................] - ETA: 2:19 - loss: 268.8225 - logits_profile_predictions_loss: 265.1447 - logcount_predictions_loss: 0.3437 55/1057 [>.............................] - ETA: 2:19 - loss: 268.7738 - logits_profile_predictions_loss: 265.0951 - logcount_predictions_loss: 0.3438 56/1057 [>.............................] - ETA: 2:19 - loss: 268.7253 - logits_profile_predictions_loss: 265.0456 - logcount_predictions_loss: 0.3439 57/1057 [>.............................] - ETA: 2:18 - loss: 268.6732 - logits_profile_predictions_loss: 264.9925 - logcount_predictions_loss: 0.3440 58/1057 [>.............................] - ETA: 2:18 - loss: 268.6305 - logits_profile_predictions_loss: 264.9485 - logcount_predictions_loss: 0.3441 59/1057 [>.............................] - ETA: 2:18 - loss: 268.5934 - logits_profile_predictions_loss: 264.9102 - logcount_predictions_loss: 0.3442 60/1057 [>.............................] - ETA: 2:18 - loss: 268.5573 - logits_profile_predictions_loss: 264.8728 - logcount_predictions_loss: 0.3443 61/1057 [>.............................] - ETA: 2:18 - loss: 268.5255 - logits_profile_predictions_loss: 264.8394 - logcount_predictions_loss: 0.3445 62/1057 [>.............................] - ETA: 2:18 - loss: 268.4962 - logits_profile_predictions_loss: 264.8085 - logcount_predictions_loss: 0.3446 63/1057 [>.............................] - ETA: 2:18 - loss: 268.4616 - logits_profile_predictions_loss: 264.7722 - logcount_predictions_loss: 0.3448 64/1057 [>.............................] - ETA: 2:17 - loss: 268.4285 - logits_profile_predictions_loss: 264.7375 - logcount_predictions_loss: 0.3450 65/1057 [>.............................] - ETA: 2:17 - loss: 268.3965 - logits_profile_predictions_loss: 264.7041 - logcount_predictions_loss: 0.3451 66/1057 [>.............................] - ETA: 2:17 - loss: 268.3716 - logits_profile_predictions_loss: 264.6778 - logcount_predictions_loss: 0.3452 67/1057 [>.............................] - ETA: 2:17 - loss: 268.3447 - logits_profile_predictions_loss: 264.6495 - logcount_predictions_loss: 0.3453 68/1057 [>.............................] - ETA: 2:17 - loss: 268.3120 - logits_profile_predictions_loss: 264.6154 - logcount_predictions_loss: 0.3455 69/1057 [>.............................] - ETA: 2:17 - loss: 268.2846 - logits_profile_predictions_loss: 264.5869 - logcount_predictions_loss: 0.3456 70/1057 [>.............................] - ETA: 2:17 - loss: 268.2524 - logits_profile_predictions_loss: 264.5537 - logcount_predictions_loss: 0.3457 71/1057 [=>............................] - ETA: 2:16 - loss: 268.2186 - logits_profile_predictions_loss: 264.5192 - logcount_predictions_loss: 0.3457 72/1057 [=>............................] - ETA: 2:16 - loss: 268.1842 - logits_profile_predictions_loss: 264.4842 - logcount_predictions_loss: 0.3458 73/1057 [=>............................] - ETA: 2:16 - loss: 268.1502 - logits_profile_predictions_loss: 264.4494 - logcount_predictions_loss: 0.3459 74/1057 [=>............................] - ETA: 2:16 - loss: 268.1218 - logits_profile_predictions_loss: 264.4201 - logcount_predictions_loss: 0.3460 75/1057 [=>............................] - ETA: 2:16 - loss: 268.0920 - logits_profile_predictions_loss: 264.3891 - logcount_predictions_loss: 0.3461 76/1057 [=>............................] - ETA: 2:16 - loss: 268.0620 - logits_profile_predictions_loss: 264.3579 - logcount_predictions_loss: 0.3462 77/1057 [=>............................] - ETA: 2:16 - loss: 268.0308 - logits_profile_predictions_loss: 264.3256 - logcount_predictions_loss: 0.3463 78/1057 [=>............................] - ETA: 2:16 - loss: 268.0027 - logits_profile_predictions_loss: 264.2963 - logcount_predictions_loss: 0.3464 79/1057 [=>............................] - ETA: 2:15 - loss: 267.9784 - logits_profile_predictions_loss: 264.2708 - logcount_predictions_loss: 0.3465 80/1057 [=>............................] - ETA: 2:15 - loss: 267.9535 - logits_profile_predictions_loss: 264.2448 - logcount_predictions_loss: 0.3466 81/1057 [=>............................] - ETA: 2:15 - loss: 267.9228 - logits_profile_predictions_loss: 264.2133 - logcount_predictions_loss: 0.3467 82/1057 [=>............................] - ETA: 2:15 - loss: 267.8935 - logits_profile_predictions_loss: 264.1831 - logcount_predictions_loss: 0.3468 83/1057 [=>............................] - ETA: 2:15 - loss: 267.8636 - logits_profile_predictions_loss: 264.1526 - logcount_predictions_loss: 0.3468 84/1057 [=>............................] - ETA: 2:15 - loss: 267.8339 - logits_profile_predictions_loss: 264.1223 - logcount_predictions_loss: 0.3469 85/1057 [=>............................] - ETA: 2:15 - loss: 267.8087 - logits_profile_predictions_loss: 264.0964 - logcount_predictions_loss: 0.3469 86/1057 [=>............................] - ETA: 2:14 - loss: 267.7848 - logits_profile_predictions_loss: 264.0722 - logcount_predictions_loss: 0.3470 87/1057 [=>............................] - ETA: 2:14 - loss: 267.7621 - logits_profile_predictions_loss: 264.0492 - logcount_predictions_loss: 0.3470 88/1057 [=>............................] - ETA: 2:14 - loss: 267.7372 - logits_profile_predictions_loss: 264.0240 - logcount_predictions_loss: 0.3470 89/1057 [=>............................] - ETA: 2:14 - loss: 267.7137 - logits_profile_predictions_loss: 264.0002 - logcount_predictions_loss: 0.3471 90/1057 [=>............................] - ETA: 2:14 - loss: 267.6914 - logits_profile_predictions_loss: 263.9776 - logcount_predictions_loss: 0.3471 91/1057 [=>............................] - ETA: 2:14 - loss: 267.6679 - logits_profile_predictions_loss: 263.9539 - logcount_predictions_loss: 0.3471 92/1057 [=>............................] - ETA: 2:14 - loss: 267.6440 - logits_profile_predictions_loss: 263.9297 - logcount_predictions_loss: 0.3471 93/1057 [=>............................] - ETA: 2:13 - loss: 267.6192 - logits_profile_predictions_loss: 263.9046 - logcount_predictions_loss: 0.3472 94/1057 [=>............................] - ETA: 2:13 - loss: 267.5941 - logits_profile_predictions_loss: 263.8794 - logcount_predictions_loss: 0.3472 95/1057 [=>............................] - ETA: 2:13 - loss: 267.5692 - logits_profile_predictions_loss: 263.8542 - logcount_predictions_loss: 0.3472 96/1057 [=>............................] - ETA: 2:13 - loss: 267.5442 - logits_profile_predictions_loss: 263.8292 - logcount_predictions_loss: 0.3472 97/1057 [=>............................] - ETA: 2:13 - loss: 267.5198 - logits_profile_predictions_loss: 263.8048 - logcount_predictions_loss: 0.3472 98/1057 [=>............................] - ETA: 2:13 - loss: 267.4932 - logits_profile_predictions_loss: 263.7782 - logcount_predictions_loss: 0.3472 99/1057 [=>............................] - ETA: 2:13 - loss: 267.4661 - logits_profile_predictions_loss: 263.7512 - logcount_predictions_loss: 0.3472 100/1057 [=>............................] - ETA: 2:12 - loss: 267.4374 - logits_profile_predictions_loss: 263.7225 - logcount_predictions_loss: 0.3472 101/1057 [=>............................] - ETA: 2:12 - loss: 267.4094 - logits_profile_predictions_loss: 263.6943 - logcount_predictions_loss: 0.3472 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loss: 269.2617 - logits_profile_predictions_loss: 265.7819 - logcount_predictions_loss: 0.3252 59/1057 [>.............................] - ETA: 2:18 - loss: 269.2455 - logits_profile_predictions_loss: 265.7647 - logcount_predictions_loss: 0.3253 60/1057 [>.............................] - ETA: 2:18 - loss: 269.2277 - logits_profile_predictions_loss: 265.7458 - logcount_predictions_loss: 0.3254 61/1057 [>.............................] - ETA: 2:18 - loss: 269.2127 - logits_profile_predictions_loss: 265.7293 - logcount_predictions_loss: 0.3256 62/1057 [>.............................] - ETA: 2:18 - loss: 269.2048 - logits_profile_predictions_loss: 265.7196 - logcount_predictions_loss: 0.3257 63/1057 [>.............................] - ETA: 2:17 - loss: 269.1911 - logits_profile_predictions_loss: 265.7044 - logcount_predictions_loss: 0.3259 64/1057 [>.............................] - ETA: 2:17 - loss: 269.1755 - logits_profile_predictions_loss: 265.6873 - logcount_predictions_loss: 0.3260 65/1057 [>.............................] - ETA: 2:17 - loss: 269.1639 - logits_profile_predictions_loss: 265.6739 - logcount_predictions_loss: 0.3262 66/1057 [>.............................] - ETA: 2:17 - loss: 269.1549 - logits_profile_predictions_loss: 265.6634 - logcount_predictions_loss: 0.3263 67/1057 [>.............................] - ETA: 2:17 - loss: 269.1413 - logits_profile_predictions_loss: 265.6485 - logcount_predictions_loss: 0.3264 68/1057 [>.............................] - ETA: 2:17 - loss: 269.1252 - logits_profile_predictions_loss: 265.6312 - logcount_predictions_loss: 0.3265 69/1057 [>.............................] - ETA: 2:17 - loss: 269.1058 - logits_profile_predictions_loss: 265.6107 - logcount_predictions_loss: 0.3267 70/1057 [>.............................] - ETA: 2:17 - loss: 269.0876 - logits_profile_predictions_loss: 265.5910 - logcount_predictions_loss: 0.3268 71/1057 [=>............................] - ETA: 2:16 - loss: 269.0739 - logits_profile_predictions_loss: 265.5758 - logcount_predictions_loss: 0.3269 72/1057 [=>............................] - ETA: 2:16 - loss: 269.0587 - logits_profile_predictions_loss: 265.5593 - logcount_predictions_loss: 0.3271 73/1057 [=>............................] - ETA: 2:16 - loss: 269.0401 - logits_profile_predictions_loss: 265.5395 - logcount_predictions_loss: 0.3272 74/1057 [=>............................] - ETA: 2:16 - loss: 269.0245 - logits_profile_predictions_loss: 265.5229 - logcount_predictions_loss: 0.3273 75/1057 [=>............................] - ETA: 2:16 - loss: 269.0083 - logits_profile_predictions_loss: 265.5057 - logcount_predictions_loss: 0.3274 76/1057 [=>............................] - ETA: 2:16 - loss: 268.9969 - logits_profile_predictions_loss: 265.4933 - logcount_predictions_loss: 0.3274 77/1057 [=>............................] - ETA: 2:16 - loss: 268.9856 - logits_profile_predictions_loss: 265.4812 - logcount_predictions_loss: 0.3275 78/1057 [=>............................] - ETA: 2:15 - loss: 268.9765 - logits_profile_predictions_loss: 265.4709 - logcount_predictions_loss: 0.3276 79/1057 [=>............................] - ETA: 2:15 - loss: 268.9660 - logits_profile_predictions_loss: 265.4592 - logcount_predictions_loss: 0.3277 80/1057 [=>............................] - ETA: 2:15 - loss: 268.9529 - logits_profile_predictions_loss: 265.4451 - logcount_predictions_loss: 0.3278 81/1057 [=>............................] - ETA: 2:15 - loss: 268.9354 - logits_profile_predictions_loss: 265.4265 - logcount_predictions_loss: 0.3279 82/1057 [=>............................] - ETA: 2:15 - loss: 268.9196 - logits_profile_predictions_loss: 265.4099 - logcount_predictions_loss: 0.3280 83/1057 [=>............................] - ETA: 2:15 - loss: 268.9025 - logits_profile_predictions_loss: 265.3919 - logcount_predictions_loss: 0.3281 84/1057 [=>............................] - ETA: 2:15 - loss: 268.8871 - logits_profile_predictions_loss: 265.3757 - logcount_predictions_loss: 0.3282 85/1057 [=>............................] - ETA: 2:14 - loss: 268.8732 - logits_profile_predictions_loss: 265.3610 - logcount_predictions_loss: 0.3282 86/1057 [=>............................] - ETA: 2:14 - loss: 268.8627 - logits_profile_predictions_loss: 265.3497 - logcount_predictions_loss: 0.3283 87/1057 [=>............................] - ETA: 2:14 - loss: 268.8500 - logits_profile_predictions_loss: 265.3362 - logcount_predictions_loss: 0.3284 88/1057 [=>............................] - ETA: 2:14 - loss: 268.8415 - logits_profile_predictions_loss: 265.3271 - logcount_predictions_loss: 0.3285 89/1057 [=>............................] - ETA: 2:14 - loss: 268.8312 - logits_profile_predictions_loss: 265.3163 - logcount_predictions_loss: 0.3285 90/1057 [=>............................] - ETA: 2:14 - loss: 268.8213 - logits_profile_predictions_loss: 265.3059 - logcount_predictions_loss: 0.3285 91/1057 [=>............................] - ETA: 2:14 - loss: 268.8127 - logits_profile_predictions_loss: 265.2970 - logcount_predictions_loss: 0.3286 92/1057 [=>............................] - ETA: 2:13 - loss: 268.8036 - logits_profile_predictions_loss: 265.2875 - logcount_predictions_loss: 0.3286 93/1057 [=>............................] - ETA: 2:13 - loss: 268.7932 - logits_profile_predictions_loss: 265.2769 - logcount_predictions_loss: 0.3286 94/1057 [=>............................] - ETA: 2:13 - loss: 268.7807 - logits_profile_predictions_loss: 265.2641 - logcount_predictions_loss: 0.3286 95/1057 [=>............................] - ETA: 2:13 - loss: 268.7685 - logits_profile_predictions_loss: 265.2518 - logcount_predictions_loss: 0.3287 96/1057 [=>............................] - ETA: 2:13 - loss: 268.7560 - logits_profile_predictions_loss: 265.2390 - logcount_predictions_loss: 0.3287 97/1057 [=>............................] - ETA: 2:13 - loss: 268.7413 - logits_profile_predictions_loss: 265.2242 - logcount_predictions_loss: 0.3287 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logits_profile_predictions_loss: 265.1377 - logcount_predictions_loss: 0.3288 105/1057 [=>............................] - ETA: 2:12 - loss: 268.6454 - logits_profile_predictions_loss: 265.1271 - logcount_predictions_loss: 0.3288 106/1057 [==>...........................] - ETA: 2:12 - loss: 268.6358 - logits_profile_predictions_loss: 265.1175 - logcount_predictions_loss: 0.3288 107/1057 [==>...........................] - ETA: 2:11 - loss: 268.6257 - logits_profile_predictions_loss: 265.1073 - logcount_predictions_loss: 0.3288 108/1057 [==>...........................] - ETA: 2:11 - loss: 268.6153 - logits_profile_predictions_loss: 265.0969 - logcount_predictions_loss: 0.3288 109/1057 [==>...........................] - ETA: 2:11 - loss: 268.6060 - logits_profile_predictions_loss: 265.0876 - logcount_predictions_loss: 0.3288 110/1057 [==>...........................] - ETA: 2:11 - loss: 268.5970 - logits_profile_predictions_loss: 265.0786 - logcount_predictions_loss: 0.3288 111/1057 [==>...........................] - ETA: 2:11 - loss: 268.5880 - logits_profile_predictions_loss: 265.0698 - logcount_predictions_loss: 0.3288 112/1057 [==>...........................] - ETA: 2:11 - loss: 268.5790 - logits_profile_predictions_loss: 265.0608 - logcount_predictions_loss: 0.3288 113/1057 [==>...........................] - ETA: 2:11 - loss: 268.5682 - logits_profile_predictions_loss: 265.0501 - logcount_predictions_loss: 0.3288 114/1057 [==>...........................] - ETA: 2:10 - loss: 268.5591 - logits_profile_predictions_loss: 265.0412 - logcount_predictions_loss: 0.3288 115/1057 [==>...........................] - ETA: 2:10 - loss: 268.5532 - logits_profile_predictions_loss: 265.0355 - logcount_predictions_loss: 0.3288 116/1057 [==>...........................] - ETA: 2:10 - loss: 268.5461 - logits_profile_predictions_loss: 265.0286 - logcount_predictions_loss: 0.3287 117/1057 [==>...........................] - ETA: 2:10 - loss: 268.5392 - logits_profile_predictions_loss: 265.0219 - logcount_predictions_loss: 0.3287 118/1057 [==>...........................] - ETA: 2:10 - loss: 268.5320 - logits_profile_predictions_loss: 265.0148 - logcount_predictions_loss: 0.3287 119/1057 [==>...........................] - ETA: 2:10 - loss: 268.5259 - logits_profile_predictions_loss: 265.0089 - logcount_predictions_loss: 0.3287 120/1057 [==>...........................] - ETA: 2:10 - loss: 268.5189 - logits_profile_predictions_loss: 265.0022 - logcount_predictions_loss: 0.3287 121/1057 [==>...........................] - ETA: 2:09 - loss: 268.5110 - logits_profile_predictions_loss: 264.9946 - logcount_predictions_loss: 0.3286 122/1057 [==>...........................] - ETA: 2:09 - loss: 268.5031 - logits_profile_predictions_loss: 264.9870 - logcount_predictions_loss: 0.3286 123/1057 [==>...........................] - ETA: 2:09 - loss: 268.4943 - logits_profile_predictions_loss: 264.9784 - logcount_predictions_loss: 0.3286 125/1057 [==>...........................] - ETA: 2:08 - loss: 268.4749 - logits_profile_predictions_loss: 264.9596 - logcount_predictions_loss: 0.3285 126/1057 [==>...........................] - ETA: 2:08 - loss: 268.4642 - logits_profile_predictions_loss: 264.9491 - logcount_predictions_loss: 0.3285 127/1057 [==>...........................] - ETA: 2:08 - loss: 268.4541 - logits_profile_predictions_loss: 264.9393 - logcount_predictions_loss: 0.3285 128/1057 [==>...........................] - ETA: 2:08 - loss: 268.4447 - logits_profile_predictions_loss: 264.9301 - logcount_predictions_loss: 0.3285 129/1057 [==>...........................] - ETA: 2:07 - loss: 268.4354 - logits_profile_predictions_loss: 264.9211 - logcount_predictions_loss: 0.3284 130/1057 [==>...........................] - ETA: 2:07 - loss: 268.4254 - logits_profile_predictions_loss: 264.9114 - logcount_predictions_loss: 0.3284 131/1057 [==>...........................] - ETA: 2:07 - loss: 268.4151 - logits_profile_predictions_loss: 264.9013 - logcount_predictions_loss: 0.3284 132/1057 [==>...........................] - ETA: 2:07 - loss: 268.4051 - logits_profile_predictions_loss: 264.8916 - logcount_predictions_loss: 0.3284 133/1057 [==>...........................] - ETA: 2:07 - loss: 268.3961 - logits_profile_predictions_loss: 264.8829 - logcount_predictions_loss: 0.3283 134/1057 [==>...........................] - ETA: 2:07 - loss: 268.3877 - logits_profile_predictions_loss: 264.8749 - logcount_predictions_loss: 0.3283 135/1057 [==>...........................] - ETA: 2:07 - loss: 268.3790 - logits_profile_predictions_loss: 264.8664 - logcount_predictions_loss: 0.3283 136/1057 [==>...........................] - ETA: 2:07 - loss: 268.3687 - logits_profile_predictions_loss: 264.8564 - logcount_predictions_loss: 0.3282 137/1057 [==>...........................] - ETA: 2:06 - loss: 268.3578 - logits_profile_predictions_loss: 264.8458 - logcount_predictions_loss: 0.3282 138/1057 [==>...........................] - ETA: 2:06 - loss: 268.3463 - logits_profile_predictions_loss: 264.8346 - logcount_predictions_loss: 0.3282 139/1057 [==>...........................] - ETA: 2:06 - loss: 268.3349 - logits_profile_predictions_loss: 264.8235 - logcount_predictions_loss: 0.3282 140/1057 [==>...........................] - ETA: 2:06 - loss: 268.3239 - logits_profile_predictions_loss: 264.8127 - logcount_predictions_loss: 0.3281 141/1057 [===>..........................] - ETA: 2:06 - loss: 268.3127 - logits_profile_predictions_loss: 264.8017 - logcount_predictions_loss: 0.3281 142/1057 [===>..........................] - ETA: 2:06 - loss: 268.3004 - logits_profile_predictions_loss: 264.7896 - logcount_predictions_loss: 0.3281 143/1057 [===>..........................] - ETA: 2:06 - loss: 268.2887 - logits_profile_predictions_loss: 264.7779 - logcount_predictions_loss: 0.3281 144/1057 [===>..........................] - ETA: 2:05 - loss: 268.2786 - logits_profile_predictions_loss: 264.7679 - logcount_predictions_loss: 0.3281 145/1057 [===>..........................] - ETA: 2:05 - loss: 268.2678 - logits_profile_predictions_loss: 264.7572 - logcount_predictions_loss: 0.3281 146/1057 [===>..........................] - ETA: 2:05 - loss: 268.2565 - logits_profile_predictions_loss: 264.7461 - logcount_predictions_loss: 0.3281 147/1057 [===>..........................] - ETA: 2:05 - loss: 268.2464 - logits_profile_predictions_loss: 264.7361 - logcount_predictions_loss: 0.3281 148/1057 [===>..........................] - ETA: 2:05 - loss: 268.2370 - logits_profile_predictions_loss: 264.7268 - logcount_predictions_loss: 0.3281 149/1057 [===>..........................] - ETA: 2:05 - loss: 268.2273 - logits_profile_predictions_loss: 264.7173 - logcount_predictions_loss: 0.3280 150/1057 [===>..........................] - ETA: 2:05 - loss: 268.2186 - logits_profile_predictions_loss: 264.7088 - logcount_predictions_loss: 0.3280 151/1057 [===>..........................] - ETA: 2:05 - loss: 268.2088 - logits_profile_predictions_loss: 264.6992 - logcount_predictions_loss: 0.3280 152/1057 [===>..........................] - ETA: 2:04 - loss: 268.1984 - logits_profile_predictions_loss: 264.6891 - logcount_predictions_loss: 0.3280 153/1057 [===>..........................] - ETA: 2:04 - loss: 268.1882 - logits_profile_predictions_loss: 264.6791 - logcount_predictions_loss: 0.3280 154/1057 [===>..........................] - ETA: 2:04 - loss: 268.1781 - logits_profile_predictions_loss: 264.6692 - logcount_predictions_loss: 0.3279 155/1057 [===>..........................] - ETA: 2:04 - loss: 268.1686 - logits_profile_predictions_loss: 264.6598 - logcount_predictions_loss: 0.3279 156/1057 [===>..........................] - ETA: 2:04 - loss: 268.1580 - logits_profile_predictions_loss: 264.6493 - logcount_predictions_loss: 0.3279 157/1057 [===>..........................] - ETA: 2:04 - loss: 268.1473 - logits_profile_predictions_loss: 264.6387 - logcount_predictions_loss: 0.3279 158/1057 [===>..........................] - ETA: 2:04 - loss: 268.1370 - logits_profile_predictions_loss: 264.6286 - logcount_predictions_loss: 0.3279 159/1057 [===>..........................] - ETA: 2:04 - loss: 268.1263 - logits_profile_predictions_loss: 264.6180 - logcount_predictions_loss: 0.3279 160/1057 [===>..........................] - ETA: 2:03 - loss: 268.1158 - logits_profile_predictions_loss: 264.6076 - logcount_predictions_loss: 0.3279 161/1057 [===>..........................] - ETA: 2:03 - loss: 268.1052 - logits_profile_predictions_loss: 264.5972 - logcount_predictions_loss: 0.3278 162/1057 [===>..........................] - ETA: 2:03 - loss: 268.0939 - logits_profile_predictions_loss: 264.5861 - logcount_predictions_loss: 0.3278 163/1057 [===>..........................] - ETA: 2:03 - loss: 268.0819 - logits_profile_predictions_loss: 264.5744 - logcount_predictions_loss: 0.3278 164/1057 [===>..........................] - ETA: 2:03 - loss: 268.0693 - logits_profile_predictions_loss: 264.5620 - logcount_predictions_loss: 0.3278 165/1057 [===>..........................] - ETA: 2:03 - loss: 268.0555 - logits_profile_predictions_loss: 264.5482 - logcount_predictions_loss: 0.3278 166/1057 [===>..........................] - ETA: 2:03 - loss: 268.0421 - logits_profile_predictions_loss: 264.5350 - logcount_predictions_loss: 0.3278 167/1057 [===>..........................] - ETA: 2:02 - loss: 268.0291 - logits_profile_predictions_loss: 264.5222 - logcount_predictions_loss: 0.3277 168/1057 [===>..........................] - ETA: 2:02 - loss: 268.0166 - logits_profile_predictions_loss: 264.5099 - logcount_predictions_loss: 0.3277 169/1057 [===>..........................] - ETA: 2:02 - loss: 268.0040 - logits_profile_predictions_loss: 264.4974 - logcount_predictions_loss: 0.3277 170/1057 [===>..........................] - ETA: 2:02 - loss: 267.9909 - logits_profile_predictions_loss: 264.4844 - logcount_predictions_loss: 0.3277 171/1057 [===>..........................] - ETA: 2:02 - loss: 267.9788 - logits_profile_predictions_loss: 264.4725 - logcount_predictions_loss: 0.3277 172/1057 [===>..........................] - ETA: 2:02 - loss: 267.9676 - logits_profile_predictions_loss: 264.4613 - logcount_predictions_loss: 0.3277 173/1057 [===>..........................] - ETA: 2:02 - loss: 267.9558 - logits_profile_predictions_loss: 264.4497 - logcount_predictions_loss: 0.3277 174/1057 [===>..........................] - ETA: 2:01 - loss: 267.9444 - logits_profile_predictions_loss: 264.4384 - logcount_predictions_loss: 0.3277 175/1057 [===>..........................] - ETA: 2:01 - loss: 267.9326 - logits_profile_predictions_loss: 264.4267 - logcount_predictions_loss: 0.3277 176/1057 [===>..........................] - ETA: 2:01 - loss: 267.9213 - logits_profile_predictions_loss: 264.4155 - logcount_predictions_loss: 0.3276 177/1057 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262.3041 - logcount_predictions_loss: 0.3240 1055/1057 [============================>.] - ETA: 0s - loss: 265.7705 - logits_profile_predictions_loss: 262.3034 - logcount_predictions_loss: 0.3240 1056/1057 [============================>.] - ETA: 0s - loss: 265.7698 - logits_profile_predictions_loss: 262.3027 - logcount_predictions_loss: 0.3240 1057/1057 [==============================] - ETA: 0s - loss: 265.7690 - logits_profile_predictions_loss: 262.3020 - logcount_predictions_loss: 0.3240 1057/1057 [==============================] - 156s 147ms/step - loss: 265.7683 - logits_profile_predictions_loss: 262.3013 - logcount_predictions_loss: 0.3240 - val_loss: 291.7413 - val_logits_profile_predictions_loss: 288.4460 - val_logcount_predictions_loss: 0.3080 + +Epoch 00006: val_loss did not improve from 291.52222 +Epoch 7/50 + 1/1057 [..............................] - ETA: 2:42 - loss: 241.8096 - logits_profile_predictions_loss: 237.9362 - logcount_predictions_loss: 0.3620 2/1057 [..............................] - ETA: 2:32 - loss: 246.0349 - logits_profile_predictions_loss: 242.3816 - logcount_predictions_loss: 0.3414 3/1057 [..............................] - ETA: 2:29 - loss: 250.1339 - logits_profile_predictions_loss: 246.6253 - logcount_predictions_loss: 0.3279 4/1057 [..............................] - ETA: 2:28 - loss: 253.2230 - logits_profile_predictions_loss: 249.8179 - logcount_predictions_loss: 0.3182 5/1057 [..............................] - ETA: 2:27 - loss: 254.8126 - logits_profile_predictions_loss: 251.4579 - logcount_predictions_loss: 0.3135 6/1057 [..............................] - ETA: 2:26 - loss: 255.4700 - logits_profile_predictions_loss: 252.1640 - logcount_predictions_loss: 0.3090 7/1057 [..............................] - ETA: 2:26 - loss: 256.4375 - logits_profile_predictions_loss: 253.1678 - logcount_predictions_loss: 0.3056 8/1057 [..............................] - ETA: 2:26 - loss: 256.9094 - logits_profile_predictions_loss: 253.6790 - logcount_predictions_loss: 0.3019 9/1057 [..............................] - ETA: 2:26 - loss: 257.1989 - logits_profile_predictions_loss: 254.0038 - logcount_predictions_loss: 0.2986 10/1057 [..............................] - ETA: 2:25 - loss: 257.1443 - logits_profile_predictions_loss: 253.9775 - logcount_predictions_loss: 0.2960 11/1057 [..............................] - ETA: 2:25 - loss: 257.0883 - logits_profile_predictions_loss: 253.9389 - logcount_predictions_loss: 0.2943 12/1057 [..............................] - ETA: 2:25 - loss: 256.9130 - logits_profile_predictions_loss: 253.7787 - logcount_predictions_loss: 0.2929 13/1057 [..............................] - ETA: 2:25 - loss: 256.9734 - logits_profile_predictions_loss: 253.8473 - logcount_predictions_loss: 0.2922 14/1057 [..............................] - ETA: 2:25 - loss: 256.9989 - logits_profile_predictions_loss: 253.8814 - logcount_predictions_loss: 0.2914 15/1057 [..............................] - ETA: 2:24 - loss: 257.0611 - logits_profile_predictions_loss: 253.9516 - logcount_predictions_loss: 0.2906 16/1057 [..............................] - ETA: 2:24 - loss: 257.0637 - logits_profile_predictions_loss: 253.9572 - logcount_predictions_loss: 0.2903 17/1057 [..............................] - ETA: 2:24 - loss: 257.1481 - logits_profile_predictions_loss: 254.0452 - logcount_predictions_loss: 0.2900 18/1057 [..............................] - ETA: 2:24 - loss: 257.2561 - logits_profile_predictions_loss: 254.1567 - logcount_predictions_loss: 0.2897 19/1057 [..............................] - ETA: 2:24 - loss: 257.4000 - logits_profile_predictions_loss: 254.3041 - logcount_predictions_loss: 0.2893 20/1057 [..............................] - ETA: 2:24 - loss: 257.4757 - logits_profile_predictions_loss: 254.3819 - logcount_predictions_loss: 0.2891 21/1057 [..............................] - ETA: 2:24 - loss: 257.6108 - logits_profile_predictions_loss: 254.5185 - logcount_predictions_loss: 0.2890 22/1057 [..............................] - ETA: 2:23 - loss: 257.7382 - logits_profile_predictions_loss: 254.6460 - logcount_predictions_loss: 0.2890 23/1057 [..............................] - ETA: 2:23 - loss: 257.8446 - logits_profile_predictions_loss: 254.7518 - logcount_predictions_loss: 0.2891 24/1057 [..............................] - ETA: 2:23 - loss: 257.9356 - logits_profile_predictions_loss: 254.8431 - logcount_predictions_loss: 0.2890 25/1057 [..............................] - ETA: 2:23 - loss: 258.0085 - logits_profile_predictions_loss: 254.9162 - logcount_predictions_loss: 0.2890 26/1057 [..............................] - ETA: 2:23 - loss: 258.1203 - logits_profile_predictions_loss: 255.0275 - logcount_predictions_loss: 0.2890 27/1057 [..............................] - ETA: 2:23 - loss: 258.2294 - logits_profile_predictions_loss: 255.1344 - logcount_predictions_loss: 0.2892 28/1057 [..............................] - ETA: 2:22 - loss: 258.3710 - logits_profile_predictions_loss: 255.2734 - logcount_predictions_loss: 0.2895 29/1057 [..............................] - ETA: 2:22 - loss: 258.5189 - logits_profile_predictions_loss: 255.4183 - logcount_predictions_loss: 0.2898 30/1057 [..............................] - ETA: 2:22 - loss: 258.6322 - logits_profile_predictions_loss: 255.5281 - logcount_predictions_loss: 0.2901 31/1057 [..............................] - ETA: 2:22 - loss: 258.7890 - logits_profile_predictions_loss: 255.6813 - logcount_predictions_loss: 0.2904 32/1057 [..............................] - ETA: 2:22 - loss: 258.9304 - logits_profile_predictions_loss: 255.8191 - logcount_predictions_loss: 0.2908 33/1057 [..............................] - ETA: 2:22 - loss: 259.0716 - logits_profile_predictions_loss: 255.9572 - logcount_predictions_loss: 0.2911 34/1057 [..............................] - ETA: 2:22 - loss: 259.2004 - logits_profile_predictions_loss: 256.0840 - logcount_predictions_loss: 0.2913 35/1057 [..............................] - ETA: 2:21 - loss: 259.3305 - logits_profile_predictions_loss: 256.2126 - logcount_predictions_loss: 0.2914 36/1057 [>.............................] - ETA: 2:21 - loss: 259.4458 - logits_profile_predictions_loss: 256.3265 - logcount_predictions_loss: 0.2915 37/1057 [>.............................] - ETA: 2:21 - loss: 259.5585 - logits_profile_predictions_loss: 256.4378 - logcount_predictions_loss: 0.2916 38/1057 [>.............................] - ETA: 2:21 - loss: 259.6559 - logits_profile_predictions_loss: 256.5341 - logcount_predictions_loss: 0.2918 39/1057 [>.............................] - ETA: 2:21 - loss: 259.7504 - logits_profile_predictions_loss: 256.6272 - logcount_predictions_loss: 0.2919 40/1057 [>.............................] - ETA: 2:21 - loss: 259.8409 - logits_profile_predictions_loss: 256.7164 - logcount_predictions_loss: 0.2920 41/1057 [>.............................] - ETA: 2:21 - loss: 259.9268 - logits_profile_predictions_loss: 256.8010 - logcount_predictions_loss: 0.2921 42/1057 [>.............................] - ETA: 2:20 - loss: 260.0054 - logits_profile_predictions_loss: 256.8783 - logcount_predictions_loss: 0.2923 43/1057 [>.............................] - ETA: 2:20 - loss: 260.0635 - logits_profile_predictions_loss: 256.9353 - logcount_predictions_loss: 0.2924 44/1057 [>.............................] - ETA: 2:20 - loss: 260.1243 - logits_profile_predictions_loss: 256.9944 - logcount_predictions_loss: 0.2925 45/1057 [>.............................] - ETA: 2:20 - loss: 260.1828 - logits_profile_predictions_loss: 257.0511 - logcount_predictions_loss: 0.2927 46/1057 [>.............................] - ETA: 2:20 - loss: 260.2381 - logits_profile_predictions_loss: 257.1045 - logcount_predictions_loss: 0.2929 47/1057 [>.............................] - ETA: 2:20 - loss: 260.3042 - logits_profile_predictions_loss: 257.1690 - logcount_predictions_loss: 0.2930 48/1057 [>.............................] - ETA: 2:20 - loss: 260.3792 - logits_profile_predictions_loss: 257.2424 - logcount_predictions_loss: 0.2932 49/1057 [>.............................] - ETA: 2:19 - loss: 260.4485 - logits_profile_predictions_loss: 257.3103 - logcount_predictions_loss: 0.2933 50/1057 [>.............................] - ETA: 2:19 - loss: 260.5017 - logits_profile_predictions_loss: 257.3620 - logcount_predictions_loss: 0.2934 51/1057 [>.............................] - ETA: 2:19 - loss: 260.5461 - logits_profile_predictions_loss: 257.4049 - logcount_predictions_loss: 0.2936 52/1057 [>.............................] - ETA: 2:19 - loss: 260.5914 - logits_profile_predictions_loss: 257.4488 - logcount_predictions_loss: 0.2937 53/1057 [>.............................] - ETA: 2:19 - loss: 260.6327 - logits_profile_predictions_loss: 257.4888 - logcount_predictions_loss: 0.2938 54/1057 [>.............................] - ETA: 2:19 - loss: 260.6745 - logits_profile_predictions_loss: 257.5295 - logcount_predictions_loss: 0.2939 55/1057 [>.............................] - ETA: 2:19 - loss: 260.7178 - logits_profile_predictions_loss: 257.5716 - logcount_predictions_loss: 0.2940 56/1057 [>.............................] - ETA: 2:18 - loss: 260.7665 - logits_profile_predictions_loss: 257.6191 - logcount_predictions_loss: 0.2941 57/1057 [>.............................] - ETA: 2:18 - loss: 260.8172 - logits_profile_predictions_loss: 257.6685 - logcount_predictions_loss: 0.2943 58/1057 [>.............................] - ETA: 2:18 - loss: 260.8620 - logits_profile_predictions_loss: 257.7122 - logcount_predictions_loss: 0.2944 59/1057 [>.............................] - ETA: 2:18 - loss: 260.9094 - logits_profile_predictions_loss: 257.7584 - logcount_predictions_loss: 0.2945 60/1057 [>.............................] - ETA: 2:18 - loss: 260.9552 - logits_profile_predictions_loss: 257.8028 - logcount_predictions_loss: 0.2946 61/1057 [>.............................] - ETA: 2:18 - loss: 261.0034 - logits_profile_predictions_loss: 257.8494 - logcount_predictions_loss: 0.2948 62/1057 [>.............................] - ETA: 2:18 - loss: 261.0501 - logits_profile_predictions_loss: 257.8946 - logcount_predictions_loss: 0.2949 63/1057 [>.............................] - ETA: 2:17 - loss: 261.0936 - logits_profile_predictions_loss: 257.9367 - logcount_predictions_loss: 0.2950 64/1057 [>.............................] - ETA: 2:17 - loss: 261.1390 - logits_profile_predictions_loss: 257.9809 - logcount_predictions_loss: 0.2952 65/1057 [>.............................] - ETA: 2:17 - loss: 261.1845 - logits_profile_predictions_loss: 258.0249 - logcount_predictions_loss: 0.2953 66/1057 [>.............................] - ETA: 2:17 - loss: 261.2304 - logits_profile_predictions_loss: 258.0688 - logcount_predictions_loss: 0.2955 67/1057 [>.............................] - ETA: 2:17 - loss: 261.2763 - logits_profile_predictions_loss: 258.1129 - logcount_predictions_loss: 0.2957 68/1057 [>.............................] - ETA: 2:17 - loss: 261.3155 - logits_profile_predictions_loss: 258.1503 - logcount_predictions_loss: 0.2958 69/1057 [>.............................] - ETA: 2:17 - loss: 261.3546 - logits_profile_predictions_loss: 258.1878 - logcount_predictions_loss: 0.2960 70/1057 [>.............................] - ETA: 2:17 - loss: 261.3944 - logits_profile_predictions_loss: 258.2259 - logcount_predictions_loss: 0.2961 71/1057 [=>............................] - ETA: 2:16 - loss: 261.4301 - logits_profile_predictions_loss: 258.2598 - logcount_predictions_loss: 0.2963 72/1057 [=>............................] - ETA: 2:16 - loss: 261.4638 - logits_profile_predictions_loss: 258.2916 - logcount_predictions_loss: 0.2965 73/1057 [=>............................] - ETA: 2:16 - loss: 261.5021 - logits_profile_predictions_loss: 258.3280 - logcount_predictions_loss: 0.2966 74/1057 [=>............................] - ETA: 2:16 - loss: 261.5401 - logits_profile_predictions_loss: 258.3642 - logcount_predictions_loss: 0.2968 75/1057 [=>............................] - ETA: 2:16 - loss: 261.5805 - logits_profile_predictions_loss: 258.4029 - logcount_predictions_loss: 0.2970 76/1057 [=>............................] - ETA: 2:16 - loss: 261.6205 - logits_profile_predictions_loss: 258.4413 - logcount_predictions_loss: 0.2971 77/1057 [=>............................] - ETA: 2:16 - loss: 261.6567 - logits_profile_predictions_loss: 258.4761 - logcount_predictions_loss: 0.2973 78/1057 [=>............................] - ETA: 2:15 - loss: 261.6925 - logits_profile_predictions_loss: 258.5105 - logcount_predictions_loss: 0.2974 79/1057 [=>............................] - ETA: 2:15 - loss: 261.7285 - logits_profile_predictions_loss: 258.5449 - logcount_predictions_loss: 0.2975 80/1057 [=>............................] - ETA: 2:15 - loss: 261.7616 - logits_profile_predictions_loss: 258.5765 - logcount_predictions_loss: 0.2977 81/1057 [=>............................] - ETA: 2:15 - loss: 261.8003 - logits_profile_predictions_loss: 258.6140 - logcount_predictions_loss: 0.2978 82/1057 [=>............................] - ETA: 2:15 - loss: 261.8395 - logits_profile_predictions_loss: 258.6519 - logcount_predictions_loss: 0.2979 83/1057 [=>............................] - ETA: 2:15 - loss: 261.8773 - logits_profile_predictions_loss: 258.6882 - logcount_predictions_loss: 0.2980 84/1057 [=>............................] - ETA: 2:15 - loss: 261.9136 - logits_profile_predictions_loss: 258.7232 - logcount_predictions_loss: 0.2982 85/1057 [=>............................] - ETA: 2:14 - loss: 261.9496 - logits_profile_predictions_loss: 258.7577 - logcount_predictions_loss: 0.2983 86/1057 [=>............................] - ETA: 2:14 - loss: 261.9833 - logits_profile_predictions_loss: 258.7897 - logcount_predictions_loss: 0.2985 87/1057 [=>............................] - ETA: 2:14 - loss: 262.0176 - logits_profile_predictions_loss: 258.8224 - logcount_predictions_loss: 0.2986 88/1057 [=>............................] - ETA: 2:14 - loss: 262.0477 - logits_profile_predictions_loss: 258.8509 - logcount_predictions_loss: 0.2988 89/1057 [=>............................] - ETA: 2:14 - loss: 262.0744 - logits_profile_predictions_loss: 258.8762 - logcount_predictions_loss: 0.2989 90/1057 [=>............................] - ETA: 2:14 - loss: 262.1021 - logits_profile_predictions_loss: 258.9025 - logcount_predictions_loss: 0.2990 91/1057 [=>............................] - ETA: 2:14 - loss: 262.1258 - logits_profile_predictions_loss: 258.9246 - logcount_predictions_loss: 0.2992 92/1057 [=>............................] - ETA: 2:13 - loss: 262.1500 - logits_profile_predictions_loss: 258.9472 - logcount_predictions_loss: 0.2993 93/1057 [=>............................] - ETA: 2:13 - loss: 262.1755 - logits_profile_predictions_loss: 258.9714 - logcount_predictions_loss: 0.2995 94/1057 [=>............................] - ETA: 2:13 - loss: 262.2010 - logits_profile_predictions_loss: 258.9956 - logcount_predictions_loss: 0.2996 95/1057 [=>............................] - ETA: 2:13 - loss: 262.2250 - logits_profile_predictions_loss: 259.0183 - logcount_predictions_loss: 0.2997 96/1057 [=>............................] - ETA: 2:13 - loss: 262.2498 - logits_profile_predictions_loss: 259.0419 - logcount_predictions_loss: 0.2998 97/1057 [=>............................] - ETA: 2:13 - loss: 262.2728 - logits_profile_predictions_loss: 259.0636 - logcount_predictions_loss: 0.2999 98/1057 [=>............................] - ETA: 2:13 - loss: 262.2935 - logits_profile_predictions_loss: 259.0831 - logcount_predictions_loss: 0.3000 99/1057 [=>............................] - ETA: 2:13 - loss: 262.3130 - logits_profile_predictions_loss: 259.1014 - logcount_predictions_loss: 0.3001 100/1057 [=>............................] - ETA: 2:12 - loss: 262.3313 - logits_profile_predictions_loss: 259.1186 - logcount_predictions_loss: 0.3002 101/1057 [=>............................] - ETA: 2:12 - loss: 262.3502 - logits_profile_predictions_loss: 259.1364 - logcount_predictions_loss: 0.3004 102/1057 [=>............................] - ETA: 2:12 - loss: 262.3694 - logits_profile_predictions_loss: 259.1544 - logcount_predictions_loss: 0.3005 103/1057 [=>............................] - ETA: 2:12 - loss: 262.3896 - logits_profile_predictions_loss: 259.1735 - logcount_predictions_loss: 0.3006 104/1057 [=>............................] - ETA: 2:12 - loss: 262.4118 - logits_profile_predictions_loss: 259.1946 - logcount_predictions_loss: 0.3007 105/1057 [=>............................] - ETA: 2:12 - loss: 262.4322 - logits_profile_predictions_loss: 259.2139 - logcount_predictions_loss: 0.3008 106/1057 [==>...........................] - ETA: 2:12 - loss: 262.4504 - logits_profile_predictions_loss: 259.2311 - logcount_predictions_loss: 0.3009 107/1057 [==>...........................] - ETA: 2:11 - loss: 262.4686 - logits_profile_predictions_loss: 259.2482 - logcount_predictions_loss: 0.3010 108/1057 [==>...........................] - ETA: 2:11 - loss: 262.4856 - logits_profile_predictions_loss: 259.2642 - logcount_predictions_loss: 0.3011 109/1057 [==>...........................] - ETA: 2:11 - loss: 262.5034 - logits_profile_predictions_loss: 259.2809 - logcount_predictions_loss: 0.3012 110/1057 [==>...........................] - ETA: 2:11 - loss: 262.5202 - logits_profile_predictions_loss: 259.2968 - logcount_predictions_loss: 0.3013 111/1057 [==>...........................] - ETA: 2:11 - loss: 262.5359 - logits_profile_predictions_loss: 259.3116 - logcount_predictions_loss: 0.3013 112/1057 [==>...........................] - ETA: 2:11 - loss: 262.5508 - logits_profile_predictions_loss: 259.3255 - logcount_predictions_loss: 0.3014 113/1057 [==>...........................] - ETA: 2:11 - loss: 262.5639 - logits_profile_predictions_loss: 259.3377 - logcount_predictions_loss: 0.3015 114/1057 [==>...........................] - ETA: 2:10 - loss: 262.5767 - logits_profile_predictions_loss: 259.3495 - logcount_predictions_loss: 0.3016 115/1057 [==>...........................] - ETA: 2:10 - loss: 262.5897 - logits_profile_predictions_loss: 259.3616 - logcount_predictions_loss: 0.3017 116/1057 [==>...........................] - ETA: 2:10 - loss: 262.6040 - logits_profile_predictions_loss: 259.3749 - logcount_predictions_loss: 0.3018 117/1057 [==>...........................] - ETA: 2:10 - loss: 262.6180 - logits_profile_predictions_loss: 259.3880 - logcount_predictions_loss: 0.3019 118/1057 [==>...........................] - ETA: 2:10 - loss: 262.6317 - logits_profile_predictions_loss: 259.4007 - logcount_predictions_loss: 0.3020 119/1057 [==>...........................] - ETA: 2:10 - loss: 262.6468 - logits_profile_predictions_loss: 259.4148 - logcount_predictions_loss: 0.3020 120/1057 [==>...........................] - ETA: 2:10 - loss: 262.6614 - logits_profile_predictions_loss: 259.4286 - logcount_predictions_loss: 0.3021 121/1057 [==>...........................] - ETA: 2:09 - loss: 262.6751 - logits_profile_predictions_loss: 259.4414 - logcount_predictions_loss: 0.3022 122/1057 [==>...........................] - ETA: 2:09 - loss: 262.6907 - logits_profile_predictions_loss: 259.4562 - logcount_predictions_loss: 0.3023 123/1057 [==>...........................] - ETA: 2:09 - loss: 262.7080 - logits_profile_predictions_loss: 259.4727 - logcount_predictions_loss: 0.3024 124/1057 [==>...........................] - ETA: 2:09 - loss: 262.7252 - logits_profile_predictions_loss: 259.4890 - logcount_predictions_loss: 0.3025 125/1057 [==>...........................] - ETA: 2:09 - loss: 262.7440 - logits_profile_predictions_loss: 259.5069 - logcount_predictions_loss: 0.3025 126/1057 [==>...........................] - ETA: 2:09 - loss: 262.7632 - logits_profile_predictions_loss: 259.5251 - logcount_predictions_loss: 0.3026 127/1057 [==>...........................] - ETA: 2:09 - loss: 262.7810 - 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[==>...........................] - ETA: 2:08 - loss: 262.8895 - logits_profile_predictions_loss: 259.6445 - logcount_predictions_loss: 0.3033 135/1057 [==>...........................] - ETA: 2:08 - loss: 262.9038 - logits_profile_predictions_loss: 259.6578 - logcount_predictions_loss: 0.3034 136/1057 [==>...........................] - ETA: 2:07 - loss: 262.9197 - logits_profile_predictions_loss: 259.6726 - logcount_predictions_loss: 0.3035 137/1057 [==>...........................] - ETA: 2:07 - loss: 262.9365 - logits_profile_predictions_loss: 259.6884 - logcount_predictions_loss: 0.3036 138/1057 [==>...........................] - ETA: 2:07 - loss: 262.9548 - logits_profile_predictions_loss: 259.7056 - logcount_predictions_loss: 0.3037 139/1057 [==>...........................] - ETA: 2:07 - loss: 262.9735 - logits_profile_predictions_loss: 259.7232 - logcount_predictions_loss: 0.3038 140/1057 [==>...........................] - ETA: 2:07 - loss: 262.9909 - logits_profile_predictions_loss: 259.7395 - logcount_predictions_loss: 0.3039 141/1057 [===>..........................] - ETA: 2:07 - loss: 263.0071 - logits_profile_predictions_loss: 259.7545 - logcount_predictions_loss: 0.3040 142/1057 [===>..........................] - ETA: 2:07 - loss: 263.0239 - logits_profile_predictions_loss: 259.7702 - logcount_predictions_loss: 0.3041 143/1057 [===>..........................] - ETA: 2:06 - loss: 263.0403 - logits_profile_predictions_loss: 259.7855 - logcount_predictions_loss: 0.3042 144/1057 [===>..........................] - ETA: 2:06 - loss: 263.0574 - logits_profile_predictions_loss: 259.8013 - logcount_predictions_loss: 0.3043 145/1057 [===>..........................] - ETA: 2:06 - loss: 263.0747 - logits_profile_predictions_loss: 259.8174 - logcount_predictions_loss: 0.3044 146/1057 [===>..........................] - ETA: 2:06 - loss: 263.0925 - logits_profile_predictions_loss: 259.8340 - logcount_predictions_loss: 0.3045 147/1057 [===>..........................] - ETA: 2:06 - loss: 263.1104 - logits_profile_predictions_loss: 259.8507 - logcount_predictions_loss: 0.3046 148/1057 [===>..........................] - ETA: 2:06 - loss: 263.1281 - logits_profile_predictions_loss: 259.8671 - logcount_predictions_loss: 0.3048 149/1057 [===>..........................] - ETA: 2:06 - loss: 263.1450 - logits_profile_predictions_loss: 259.8828 - logcount_predictions_loss: 0.3049 150/1057 [===>..........................] - ETA: 2:05 - loss: 263.1606 - logits_profile_predictions_loss: 259.8972 - logcount_predictions_loss: 0.3050 151/1057 [===>..........................] - ETA: 2:05 - loss: 263.1761 - logits_profile_predictions_loss: 259.9116 - logcount_predictions_loss: 0.3051 152/1057 [===>..........................] - ETA: 2:05 - loss: 263.1919 - logits_profile_predictions_loss: 259.9262 - logcount_predictions_loss: 0.3052 153/1057 [===>..........................] - ETA: 2:05 - loss: 263.2070 - logits_profile_predictions_loss: 259.9401 - logcount_predictions_loss: 0.3053 154/1057 [===>..........................] - ETA: 2:05 - loss: 263.2221 - logits_profile_predictions_loss: 259.9540 - logcount_predictions_loss: 0.3054 155/1057 [===>..........................] - ETA: 2:05 - loss: 263.2371 - logits_profile_predictions_loss: 259.9680 - logcount_predictions_loss: 0.3055 156/1057 [===>..........................] - ETA: 2:05 - loss: 263.2531 - logits_profile_predictions_loss: 259.9829 - logcount_predictions_loss: 0.3056 157/1057 [===>..........................] - ETA: 2:04 - loss: 263.2687 - logits_profile_predictions_loss: 259.9974 - logcount_predictions_loss: 0.3057 158/1057 [===>..........................] - ETA: 2:04 - loss: 263.2845 - logits_profile_predictions_loss: 260.0121 - logcount_predictions_loss: 0.3058 159/1057 [===>..........................] - ETA: 2:04 - loss: 263.3002 - logits_profile_predictions_loss: 260.0267 - logcount_predictions_loss: 0.3059 160/1057 [===>..........................] - ETA: 2:04 - loss: 263.3140 - logits_profile_predictions_loss: 260.0395 - logcount_predictions_loss: 0.3060 161/1057 [===>..........................] - ETA: 2:04 - loss: 263.3263 - logits_profile_predictions_loss: 260.0508 - logcount_predictions_loss: 0.3061 162/1057 [===>..........................] - ETA: 2:04 - loss: 263.3380 - logits_profile_predictions_loss: 260.0615 - logcount_predictions_loss: 0.3062 163/1057 [===>..........................] - ETA: 2:04 - loss: 263.3500 - logits_profile_predictions_loss: 260.0725 - logcount_predictions_loss: 0.3063 164/1057 [===>..........................] - ETA: 2:04 - loss: 263.3616 - logits_profile_predictions_loss: 260.0830 - logcount_predictions_loss: 0.3064 165/1057 [===>..........................] - ETA: 2:03 - loss: 263.3733 - logits_profile_predictions_loss: 260.0937 - logcount_predictions_loss: 0.3065 166/1057 [===>..........................] - ETA: 2:03 - loss: 263.3847 - 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[===>..........................] - ETA: 2:02 - loss: 263.4620 - logits_profile_predictions_loss: 260.1747 - logcount_predictions_loss: 0.3072 174/1057 [===>..........................] - ETA: 2:02 - loss: 263.4707 - logits_profile_predictions_loss: 260.1826 - logcount_predictions_loss: 0.3073 175/1057 [===>..........................] - ETA: 2:02 - loss: 263.4801 - logits_profile_predictions_loss: 260.1912 - logcount_predictions_loss: 0.3074 176/1057 [===>..........................] - ETA: 2:02 - loss: 263.4897 - logits_profile_predictions_loss: 260.1999 - logcount_predictions_loss: 0.3075 177/1057 [====>.........................] - ETA: 2:02 - loss: 263.4985 - logits_profile_predictions_loss: 260.2080 - logcount_predictions_loss: 0.3075 178/1057 [====>.........................] - ETA: 2:02 - loss: 263.5064 - logits_profile_predictions_loss: 260.2150 - logcount_predictions_loss: 0.3076 179/1057 [====>.........................] - ETA: 2:01 - loss: 263.5150 - 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[=====>........................] - ETA: 1:57 - loss: 263.7725 - logits_profile_predictions_loss: 260.4573 - logcount_predictions_loss: 0.3098 213/1057 [=====>........................] - ETA: 1:57 - loss: 263.7799 - logits_profile_predictions_loss: 260.4641 - logcount_predictions_loss: 0.3099 214/1057 [=====>........................] - ETA: 1:57 - loss: 263.7875 - logits_profile_predictions_loss: 260.4711 - logcount_predictions_loss: 0.3099 215/1057 [=====>........................] - ETA: 1:56 - loss: 263.7947 - logits_profile_predictions_loss: 260.4776 - logcount_predictions_loss: 0.3100 216/1057 [=====>........................] - ETA: 1:56 - loss: 263.8016 - logits_profile_predictions_loss: 260.4839 - logcount_predictions_loss: 0.3101 217/1057 [=====>........................] - ETA: 1:56 - loss: 263.8080 - logits_profile_predictions_loss: 260.4898 - logcount_predictions_loss: 0.3101 218/1057 [=====>........................] - ETA: 1:56 - loss: 263.8142 - logits_profile_predictions_loss: 260.4954 - logcount_predictions_loss: 0.3102 219/1057 [=====>........................] - ETA: 1:56 - loss: 263.8200 - logits_profile_predictions_loss: 260.5007 - logcount_predictions_loss: 0.3102 220/1057 [=====>........................] - ETA: 1:56 - loss: 263.8260 - logits_profile_predictions_loss: 260.5061 - logcount_predictions_loss: 0.3103 221/1057 [=====>........................] - ETA: 1:56 - loss: 263.8313 - logits_profile_predictions_loss: 260.5109 - logcount_predictions_loss: 0.3103 222/1057 [=====>........................] - ETA: 1:55 - loss: 263.8368 - logits_profile_predictions_loss: 260.5159 - logcount_predictions_loss: 0.3104 223/1057 [=====>........................] - ETA: 1:55 - loss: 263.8425 - logits_profile_predictions_loss: 260.5211 - logcount_predictions_loss: 0.3104 224/1057 [=====>........................] - ETA: 1:55 - loss: 263.8486 - logits_profile_predictions_loss: 260.5266 - logcount_predictions_loss: 0.3105 225/1057 [=====>........................] - ETA: 1:55 - loss: 263.8544 - logits_profile_predictions_loss: 260.5319 - logcount_predictions_loss: 0.3105 226/1057 [=====>........................] - ETA: 1:55 - loss: 263.8602 - logits_profile_predictions_loss: 260.5371 - logcount_predictions_loss: 0.3106 227/1057 [=====>........................] - ETA: 1:55 - loss: 263.8658 - logits_profile_predictions_loss: 260.5422 - logcount_predictions_loss: 0.3106 228/1057 [=====>........................] - ETA: 1:55 - loss: 263.8710 - logits_profile_predictions_loss: 260.5470 - logcount_predictions_loss: 0.3107 229/1057 [=====>........................] - ETA: 1:55 - loss: 263.8760 - logits_profile_predictions_loss: 260.5515 - logcount_predictions_loss: 0.3107 230/1057 [=====>........................] - ETA: 1:54 - loss: 263.8810 - logits_profile_predictions_loss: 260.5560 - logcount_predictions_loss: 0.3107 231/1057 [=====>........................] - ETA: 1:54 - loss: 263.8859 - logits_profile_predictions_loss: 260.5604 - logcount_predictions_loss: 0.3108 232/1057 [=====>........................] - ETA: 1:54 - loss: 263.8906 - logits_profile_predictions_loss: 260.5646 - logcount_predictions_loss: 0.3108 233/1057 [=====>........................] - ETA: 1:54 - loss: 263.8954 - logits_profile_predictions_loss: 260.5689 - logcount_predictions_loss: 0.3109 234/1057 [=====>........................] - ETA: 1:54 - loss: 263.9002 - logits_profile_predictions_loss: 260.5731 - logcount_predictions_loss: 0.3109 235/1057 [=====>........................] - ETA: 1:54 - loss: 263.9048 - logits_profile_predictions_loss: 260.5772 - logcount_predictions_loss: 0.3110 236/1057 [=====>........................] - ETA: 1:54 - loss: 263.9098 - logits_profile_predictions_loss: 260.5818 - logcount_predictions_loss: 0.3110 237/1057 [=====>........................] - ETA: 1:53 - loss: 263.9150 - logits_profile_predictions_loss: 260.5865 - logcount_predictions_loss: 0.3111 238/1057 [=====>........................] - ETA: 1:53 - loss: 263.9200 - logits_profile_predictions_loss: 260.5910 - logcount_predictions_loss: 0.3111 239/1057 [=====>........................] - ETA: 1:53 - loss: 263.9248 - logits_profile_predictions_loss: 260.5953 - logcount_predictions_loss: 0.3112 240/1057 [=====>........................] - ETA: 1:53 - loss: 263.9294 - logits_profile_predictions_loss: 260.5995 - logcount_predictions_loss: 0.3112 241/1057 [=====>........................] - ETA: 1:53 - loss: 263.9332 - logits_profile_predictions_loss: 260.6028 - logcount_predictions_loss: 0.3113 242/1057 [=====>........................] - ETA: 1:53 - loss: 263.9376 - logits_profile_predictions_loss: 260.6066 - logcount_predictions_loss: 0.3113 243/1057 [=====>........................] - ETA: 1:53 - loss: 263.9419 - logits_profile_predictions_loss: 260.6105 - logcount_predictions_loss: 0.3113 244/1057 [=====>........................] - ETA: 1:52 - loss: 263.9461 - 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[==>...........................] - ETA: 2:08 - loss: 262.0668 - logits_profile_predictions_loss: 258.8752 - logcount_predictions_loss: 0.2983 132/1057 [==>...........................] - ETA: 2:08 - loss: 262.0569 - logits_profile_predictions_loss: 258.8649 - logcount_predictions_loss: 0.2983 133/1057 [==>...........................] - ETA: 2:08 - loss: 262.0458 - logits_profile_predictions_loss: 258.8532 - logcount_predictions_loss: 0.2984 134/1057 [==>...........................] - ETA: 2:08 - loss: 262.0357 - logits_profile_predictions_loss: 258.8427 - logcount_predictions_loss: 0.2984 135/1057 [==>...........................] - ETA: 2:08 - loss: 262.0267 - logits_profile_predictions_loss: 258.8333 - logcount_predictions_loss: 0.2985 136/1057 [==>...........................] - ETA: 2:07 - loss: 262.0173 - logits_profile_predictions_loss: 258.8234 - logcount_predictions_loss: 0.2985 137/1057 [==>...........................] - ETA: 2:07 - loss: 262.0100 - 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- logits_profile_predictions_loss: 251.3762 - logcount_predictions_loss: 0.2173 7/1057 [..............................] - ETA: 2:27 - loss: 253.0367 - logits_profile_predictions_loss: 250.6733 - logcount_predictions_loss: 0.2209 8/1057 [..............................] - ETA: 2:26 - loss: 252.3602 - logits_profile_predictions_loss: 249.9700 - logcount_predictions_loss: 0.2234 9/1057 [..............................] - ETA: 2:26 - loss: 251.6010 - logits_profile_predictions_loss: 249.1867 - logcount_predictions_loss: 0.2256 10/1057 [..............................] - ETA: 2:26 - loss: 251.2646 - logits_profile_predictions_loss: 248.8388 - logcount_predictions_loss: 0.2267 11/1057 [..............................] - ETA: 2:26 - loss: 251.3539 - logits_profile_predictions_loss: 248.9232 - logcount_predictions_loss: 0.2272 12/1057 [..............................] - ETA: 2:25 - loss: 251.4551 - logits_profile_predictions_loss: 249.0206 - logcount_predictions_loss: 0.2275 13/1057 [..............................] - ETA: 2:25 - loss: 251.5967 - logits_profile_predictions_loss: 249.1572 - logcount_predictions_loss: 0.2280 14/1057 [..............................] - ETA: 2:25 - loss: 251.7329 - logits_profile_predictions_loss: 249.2830 - logcount_predictions_loss: 0.2290 15/1057 [..............................] - ETA: 2:25 - loss: 251.7755 - logits_profile_predictions_loss: 249.3166 - logcount_predictions_loss: 0.2298 16/1057 [..............................] - ETA: 2:25 - loss: 251.7902 - logits_profile_predictions_loss: 249.3211 - logcount_predictions_loss: 0.2308 17/1057 [..............................] - ETA: 2:24 - loss: 251.7685 - logits_profile_predictions_loss: 249.2876 - logcount_predictions_loss: 0.2319 18/1057 [..............................] - ETA: 2:24 - loss: 251.7581 - logits_profile_predictions_loss: 249.2652 - logcount_predictions_loss: 0.2330 19/1057 [..............................] - ETA: 2:24 - loss: 251.7614 - logits_profile_predictions_loss: 249.2573 - logcount_predictions_loss: 0.2340 20/1057 [..............................] - ETA: 2:24 - loss: 251.7546 - logits_profile_predictions_loss: 249.2390 - logcount_predictions_loss: 0.2351 21/1057 [..............................] - ETA: 2:24 - loss: 251.7815 - logits_profile_predictions_loss: 249.2552 - logcount_predictions_loss: 0.2361 22/1057 [..............................] - ETA: 2:24 - loss: 251.8352 - logits_profile_predictions_loss: 249.2992 - logcount_predictions_loss: 0.2370 23/1057 [..............................] - ETA: 2:23 - loss: 251.8820 - logits_profile_predictions_loss: 249.3389 - logcount_predictions_loss: 0.2377 24/1057 [..............................] - ETA: 2:23 - loss: 251.9347 - logits_profile_predictions_loss: 249.3858 - logcount_predictions_loss: 0.2382 25/1057 [..............................] - ETA: 2:23 - loss: 251.9752 - logits_profile_predictions_loss: 249.4212 - logcount_predictions_loss: 0.2387 26/1057 [..............................] - ETA: 2:23 - loss: 251.9902 - logits_profile_predictions_loss: 249.4314 - logcount_predictions_loss: 0.2391 27/1057 [..............................] - ETA: 2:23 - loss: 252.0247 - logits_profile_predictions_loss: 249.4618 - logcount_predictions_loss: 0.2395 28/1057 [..............................] - ETA: 2:23 - loss: 252.0572 - logits_profile_predictions_loss: 249.4906 - logcount_predictions_loss: 0.2399 29/1057 [..............................] - ETA: 2:23 - loss: 252.1042 - logits_profile_predictions_loss: 249.5349 - logcount_predictions_loss: 0.2401 30/1057 [..............................] - ETA: 2:22 - loss: 252.1411 - logits_profile_predictions_loss: 249.5686 - logcount_predictions_loss: 0.2404 31/1057 [..............................] - ETA: 2:22 - loss: 252.1776 - logits_profile_predictions_loss: 249.6017 - logcount_predictions_loss: 0.2407 32/1057 [..............................] - ETA: 2:22 - loss: 252.2109 - logits_profile_predictions_loss: 249.6311 - logcount_predictions_loss: 0.2411 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logits_profile_predictions_loss: 249.7950 - logcount_predictions_loss: 0.2428 40/1057 [>.............................] - ETA: 2:21 - loss: 252.4016 - logits_profile_predictions_loss: 249.8019 - logcount_predictions_loss: 0.2430 41/1057 [>.............................] - ETA: 2:21 - loss: 252.4242 - logits_profile_predictions_loss: 249.8228 - logcount_predictions_loss: 0.2431 42/1057 [>.............................] - ETA: 2:21 - loss: 252.4466 - logits_profile_predictions_loss: 249.8432 - logcount_predictions_loss: 0.2433 43/1057 [>.............................] - ETA: 2:20 - loss: 252.4688 - logits_profile_predictions_loss: 249.8630 - logcount_predictions_loss: 0.2435 44/1057 [>.............................] - ETA: 2:20 - loss: 252.4994 - logits_profile_predictions_loss: 249.8914 - logcount_predictions_loss: 0.2437 45/1057 [>.............................] - ETA: 2:20 - loss: 252.5289 - logits_profile_predictions_loss: 249.9186 - logcount_predictions_loss: 0.2440 46/1057 [>.............................] - ETA: 2:20 - loss: 252.5561 - logits_profile_predictions_loss: 249.9437 - logcount_predictions_loss: 0.2441 47/1057 [>.............................] - ETA: 2:20 - loss: 252.5815 - logits_profile_predictions_loss: 249.9673 - logcount_predictions_loss: 0.2443 48/1057 [>.............................] - ETA: 2:20 - loss: 252.6097 - logits_profile_predictions_loss: 249.9935 - logcount_predictions_loss: 0.2445 49/1057 [>.............................] - ETA: 2:20 - loss: 252.6339 - logits_profile_predictions_loss: 250.0160 - logcount_predictions_loss: 0.2447 50/1057 [>.............................] - ETA: 2:19 - loss: 252.6625 - logits_profile_predictions_loss: 250.0430 - logcount_predictions_loss: 0.2448 51/1057 [>.............................] - ETA: 2:19 - loss: 252.6848 - logits_profile_predictions_loss: 250.0639 - logcount_predictions_loss: 0.2449 52/1057 [>.............................] - ETA: 2:19 - loss: 252.7081 - logits_profile_predictions_loss: 250.0860 - logcount_predictions_loss: 0.2451 53/1057 [>.............................] - ETA: 2:19 - loss: 252.7286 - logits_profile_predictions_loss: 250.1051 - logcount_predictions_loss: 0.2452 54/1057 [>.............................] - ETA: 2:19 - loss: 252.7392 - logits_profile_predictions_loss: 250.1146 - logcount_predictions_loss: 0.2453 55/1057 [>.............................] - ETA: 2:19 - loss: 252.7487 - logits_profile_predictions_loss: 250.1232 - logcount_predictions_loss: 0.2454 56/1057 [>.............................] - ETA: 2:19 - loss: 252.7554 - logits_profile_predictions_loss: 250.1290 - logcount_predictions_loss: 0.2455 57/1057 [>.............................] - ETA: 2:18 - loss: 252.7598 - logits_profile_predictions_loss: 250.1325 - logcount_predictions_loss: 0.2455 58/1057 [>.............................] - ETA: 2:18 - loss: 252.7736 - logits_profile_predictions_loss: 250.1455 - logcount_predictions_loss: 0.2456 59/1057 [>.............................] - ETA: 2:18 - loss: 252.7910 - logits_profile_predictions_loss: 250.1622 - logcount_predictions_loss: 0.2457 60/1057 [>.............................] - ETA: 2:18 - loss: 252.8079 - logits_profile_predictions_loss: 250.1783 - logcount_predictions_loss: 0.2458 61/1057 [>.............................] - ETA: 2:18 - loss: 252.8195 - logits_profile_predictions_loss: 250.1894 - logcount_predictions_loss: 0.2458 62/1057 [>.............................] - ETA: 2:18 - loss: 252.8379 - logits_profile_predictions_loss: 250.2072 - logcount_predictions_loss: 0.2459 63/1057 [>.............................] - ETA: 2:18 - loss: 252.8530 - logits_profile_predictions_loss: 250.2218 - logcount_predictions_loss: 0.2459 64/1057 [>.............................] - ETA: 2:17 - loss: 252.8608 - logits_profile_predictions_loss: 250.2292 - logcount_predictions_loss: 0.2459 65/1057 [>.............................] - ETA: 2:17 - loss: 252.8638 - logits_profile_predictions_loss: 250.2314 - logcount_predictions_loss: 0.2460 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logits_profile_predictions_loss: 250.3273 - logcount_predictions_loss: 0.2469 73/1057 [=>............................] - ETA: 2:16 - loss: 252.9935 - logits_profile_predictions_loss: 250.3506 - logcount_predictions_loss: 0.2470 74/1057 [=>............................] - ETA: 2:16 - loss: 253.0149 - logits_profile_predictions_loss: 250.3706 - logcount_predictions_loss: 0.2471 75/1057 [=>............................] - ETA: 2:16 - loss: 253.0344 - logits_profile_predictions_loss: 250.3888 - logcount_predictions_loss: 0.2473 76/1057 [=>............................] - ETA: 2:16 - loss: 253.0534 - logits_profile_predictions_loss: 250.4065 - logcount_predictions_loss: 0.2474 77/1057 [=>............................] - ETA: 2:16 - loss: 253.0685 - logits_profile_predictions_loss: 250.4203 - logcount_predictions_loss: 0.2475 78/1057 [=>............................] - ETA: 2:15 - loss: 253.0816 - logits_profile_predictions_loss: 250.4322 - logcount_predictions_loss: 0.2476 79/1057 [=>............................] - ETA: 2:15 - loss: 253.0932 - logits_profile_predictions_loss: 250.4426 - logcount_predictions_loss: 0.2477 80/1057 [=>............................] - ETA: 2:15 - loss: 253.1078 - logits_profile_predictions_loss: 250.4562 - logcount_predictions_loss: 0.2478 81/1057 [=>............................] - ETA: 2:15 - loss: 253.1189 - logits_profile_predictions_loss: 250.4662 - logcount_predictions_loss: 0.2479 82/1057 [=>............................] - ETA: 2:15 - loss: 253.1276 - logits_profile_predictions_loss: 250.4737 - logcount_predictions_loss: 0.2480 83/1057 [=>............................] - ETA: 2:15 - loss: 253.1347 - logits_profile_predictions_loss: 250.4797 - logcount_predictions_loss: 0.2481 84/1057 [=>............................] - ETA: 2:15 - loss: 253.1401 - logits_profile_predictions_loss: 250.4838 - logcount_predictions_loss: 0.2483 85/1057 [=>............................] - ETA: 2:15 - loss: 253.1454 - logits_profile_predictions_loss: 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[==>...........................] - ETA: 2:11 - loss: 253.5373 - logits_profile_predictions_loss: 250.8604 - logcount_predictions_loss: 0.2502 113/1057 [==>...........................] - ETA: 2:11 - loss: 253.5599 - logits_profile_predictions_loss: 250.8825 - logcount_predictions_loss: 0.2502 114/1057 [==>...........................] - ETA: 2:10 - loss: 253.5835 - logits_profile_predictions_loss: 250.9058 - logcount_predictions_loss: 0.2503 115/1057 [==>...........................] - ETA: 2:10 - loss: 253.6066 - logits_profile_predictions_loss: 250.9284 - logcount_predictions_loss: 0.2503 116/1057 [==>...........................] - ETA: 2:10 - loss: 253.6283 - logits_profile_predictions_loss: 250.9496 - logcount_predictions_loss: 0.2503 117/1057 [==>...........................] - ETA: 2:10 - loss: 253.6496 - logits_profile_predictions_loss: 250.9705 - logcount_predictions_loss: 0.2504 118/1057 [==>...........................] - ETA: 2:10 - loss: 253.6692 - 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[==>...........................] - ETA: 2:09 - loss: 253.7937 - logits_profile_predictions_loss: 251.1097 - logcount_predictions_loss: 0.2508 126/1057 [==>...........................] - ETA: 2:09 - loss: 253.8061 - logits_profile_predictions_loss: 251.1215 - logcount_predictions_loss: 0.2509 127/1057 [==>...........................] - ETA: 2:09 - loss: 253.8186 - logits_profile_predictions_loss: 251.1333 - logcount_predictions_loss: 0.2510 128/1057 [==>...........................] - ETA: 2:09 - loss: 253.8305 - logits_profile_predictions_loss: 251.1445 - logcount_predictions_loss: 0.2510 129/1057 [==>...........................] - ETA: 2:08 - loss: 253.8430 - logits_profile_predictions_loss: 251.1564 - logcount_predictions_loss: 0.2511 130/1057 [==>...........................] - ETA: 2:08 - loss: 253.8555 - logits_profile_predictions_loss: 251.1682 - logcount_predictions_loss: 0.2512 131/1057 [==>...........................] - ETA: 2:08 - loss: 253.8672 - logits_profile_predictions_loss: 251.1792 - logcount_predictions_loss: 0.2512 132/1057 [==>...........................] - ETA: 2:08 - loss: 253.8799 - logits_profile_predictions_loss: 251.1912 - logcount_predictions_loss: 0.2513 133/1057 [==>...........................] - ETA: 2:08 - loss: 253.8917 - logits_profile_predictions_loss: 251.2023 - logcount_predictions_loss: 0.2513 134/1057 [==>...........................] - ETA: 2:08 - loss: 253.9028 - logits_profile_predictions_loss: 251.2128 - logcount_predictions_loss: 0.2514 135/1057 [==>...........................] - ETA: 2:08 - loss: 253.9140 - logits_profile_predictions_loss: 251.2234 - logcount_predictions_loss: 0.2515 136/1057 [==>...........................] - ETA: 2:07 - loss: 253.9243 - logits_profile_predictions_loss: 251.2331 - logcount_predictions_loss: 0.2515 137/1057 [==>...........................] - ETA: 2:07 - loss: 253.9341 - logits_profile_predictions_loss: 251.2424 - logcount_predictions_loss: 0.2516 138/1057 [==>...........................] - ETA: 2:07 - loss: 253.9432 - logits_profile_predictions_loss: 251.2509 - logcount_predictions_loss: 0.2516 139/1057 [==>...........................] - ETA: 2:07 - loss: 253.9536 - logits_profile_predictions_loss: 251.2608 - logcount_predictions_loss: 0.2517 140/1057 [==>...........................] - ETA: 2:07 - loss: 253.9644 - logits_profile_predictions_loss: 251.2710 - logcount_predictions_loss: 0.2517 141/1057 [===>..........................] - ETA: 2:07 - loss: 253.9738 - logits_profile_predictions_loss: 251.2799 - logcount_predictions_loss: 0.2518 142/1057 [===>..........................] - ETA: 2:07 - loss: 253.9840 - logits_profile_predictions_loss: 251.2896 - logcount_predictions_loss: 0.2518 143/1057 [===>..........................] - ETA: 2:06 - loss: 253.9941 - logits_profile_predictions_loss: 251.2993 - logcount_predictions_loss: 0.2519 144/1057 [===>..........................] - ETA: 2:06 - loss: 254.0032 - logits_profile_predictions_loss: 251.3080 - logcount_predictions_loss: 0.2519 145/1057 [===>..........................] - ETA: 2:06 - loss: 254.0122 - logits_profile_predictions_loss: 251.3165 - logcount_predictions_loss: 0.2519 146/1057 [===>..........................] - ETA: 2:06 - loss: 254.0213 - logits_profile_predictions_loss: 251.3253 - logcount_predictions_loss: 0.2520 147/1057 [===>..........................] - ETA: 2:06 - loss: 254.0315 - logits_profile_predictions_loss: 251.3351 - logcount_predictions_loss: 0.2520 148/1057 [===>..........................] - ETA: 2:06 - loss: 254.0401 - logits_profile_predictions_loss: 251.3434 - logcount_predictions_loss: 0.2520 149/1057 [===>..........................] - ETA: 2:06 - loss: 254.0490 - logits_profile_predictions_loss: 251.3520 - logcount_predictions_loss: 0.2521 150/1057 [===>..........................] - ETA: 2:05 - loss: 254.0573 - logits_profile_predictions_loss: 251.3598 - logcount_predictions_loss: 0.2521 151/1057 [===>..........................] - ETA: 2:05 - loss: 254.0657 - logits_profile_predictions_loss: 251.3680 - logcount_predictions_loss: 0.2521 152/1057 [===>..........................] - ETA: 2:05 - loss: 254.0739 - logits_profile_predictions_loss: 251.3759 - logcount_predictions_loss: 0.2522 153/1057 [===>..........................] - ETA: 2:05 - loss: 254.0826 - logits_profile_predictions_loss: 251.3842 - logcount_predictions_loss: 0.2522 154/1057 [===>..........................] - ETA: 2:05 - loss: 254.0907 - logits_profile_predictions_loss: 251.3921 - logcount_predictions_loss: 0.2522 155/1057 [===>..........................] - ETA: 2:05 - loss: 254.0984 - logits_profile_predictions_loss: 251.3995 - logcount_predictions_loss: 0.2522 156/1057 [===>..........................] - ETA: 2:05 - loss: 254.1064 - logits_profile_predictions_loss: 251.4072 - logcount_predictions_loss: 0.2523 157/1057 [===>..........................] - ETA: 2:04 - loss: 254.1150 - logits_profile_predictions_loss: 251.4156 - logcount_predictions_loss: 0.2523 158/1057 [===>..........................] - ETA: 2:04 - loss: 254.1235 - logits_profile_predictions_loss: 251.4238 - logcount_predictions_loss: 0.2523 159/1057 [===>..........................] - ETA: 2:04 - loss: 254.1307 - logits_profile_predictions_loss: 251.4307 - logcount_predictions_loss: 0.2523 160/1057 [===>..........................] - ETA: 2:04 - loss: 254.1375 - logits_profile_predictions_loss: 251.4373 - logcount_predictions_loss: 0.2524 161/1057 [===>..........................] - ETA: 2:04 - loss: 254.1436 - logits_profile_predictions_loss: 251.4431 - logcount_predictions_loss: 0.2524 162/1057 [===>..........................] - ETA: 2:04 - loss: 254.1491 - logits_profile_predictions_loss: 251.4483 - logcount_predictions_loss: 0.2524 163/1057 [===>..........................] - ETA: 2:04 - loss: 254.1549 - logits_profile_predictions_loss: 251.4539 - logcount_predictions_loss: 0.2524 164/1057 [===>..........................] - ETA: 2:04 - loss: 254.1615 - logits_profile_predictions_loss: 251.4603 - logcount_predictions_loss: 0.2525 165/1057 [===>..........................] - ETA: 2:03 - loss: 254.1679 - logits_profile_predictions_loss: 251.4664 - logcount_predictions_loss: 0.2525 166/1057 [===>..........................] - ETA: 2:03 - loss: 254.1750 - logits_profile_predictions_loss: 251.4732 - logcount_predictions_loss: 0.2525 167/1057 [===>..........................] - ETA: 2:03 - loss: 254.1832 - logits_profile_predictions_loss: 251.4813 - logcount_predictions_loss: 0.2525 168/1057 [===>..........................] - ETA: 2:03 - loss: 254.1911 - logits_profile_predictions_loss: 251.4889 - logcount_predictions_loss: 0.2525 169/1057 [===>..........................] - ETA: 2:03 - loss: 254.2002 - logits_profile_predictions_loss: 251.4978 - logcount_predictions_loss: 0.2526 170/1057 [===>..........................] - ETA: 2:03 - loss: 254.2099 - 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[====>.........................] - ETA: 2:02 - loss: 254.2766 - logits_profile_predictions_loss: 251.5731 - logcount_predictions_loss: 0.2527 178/1057 [====>.........................] - ETA: 2:02 - loss: 254.2853 - logits_profile_predictions_loss: 251.5817 - logcount_predictions_loss: 0.2527 179/1057 [====>.........................] - ETA: 2:01 - loss: 254.2952 - logits_profile_predictions_loss: 251.5914 - logcount_predictions_loss: 0.2527 180/1057 [====>.........................] - ETA: 2:01 - loss: 254.3053 - logits_profile_predictions_loss: 251.6015 - logcount_predictions_loss: 0.2527 181/1057 [====>.........................] - ETA: 2:01 - loss: 254.3158 - logits_profile_predictions_loss: 251.6118 - logcount_predictions_loss: 0.2527 182/1057 [====>.........................] - ETA: 2:01 - loss: 254.3263 - logits_profile_predictions_loss: 251.6221 - logcount_predictions_loss: 0.2527 183/1057 [====>.........................] - ETA: 2:01 - loss: 254.3363 - logits_profile_predictions_loss: 251.6320 - logcount_predictions_loss: 0.2527 184/1057 [====>.........................] - ETA: 2:01 - loss: 254.3464 - logits_profile_predictions_loss: 251.6419 - logcount_predictions_loss: 0.2528 185/1057 [====>.........................] - ETA: 2:01 - loss: 254.3567 - logits_profile_predictions_loss: 251.6522 - logcount_predictions_loss: 0.2528 186/1057 [====>.........................] - ETA: 2:00 - loss: 254.3670 - logits_profile_predictions_loss: 251.6623 - logcount_predictions_loss: 0.2528 187/1057 [====>.........................] - ETA: 2:00 - loss: 254.3776 - logits_profile_predictions_loss: 251.6728 - logcount_predictions_loss: 0.2528 188/1057 [====>.........................] - ETA: 2:00 - loss: 254.3885 - logits_profile_predictions_loss: 251.6837 - logcount_predictions_loss: 0.2528 189/1057 [====>.........................] - ETA: 2:00 - loss: 254.3990 - logits_profile_predictions_loss: 251.6940 - logcount_predictions_loss: 0.2528 190/1057 [====>.........................] - ETA: 2:00 - loss: 254.4095 - logits_profile_predictions_loss: 251.7045 - logcount_predictions_loss: 0.2528 191/1057 [====>.........................] - ETA: 2:00 - loss: 254.4201 - logits_profile_predictions_loss: 251.7149 - logcount_predictions_loss: 0.2528 192/1057 [====>.........................] - ETA: 2:00 - loss: 254.4310 - logits_profile_predictions_loss: 251.7258 - logcount_predictions_loss: 0.2528 193/1057 [====>.........................] - ETA: 1:59 - loss: 254.4413 - logits_profile_predictions_loss: 251.7361 - logcount_predictions_loss: 0.2528 194/1057 [====>.........................] - ETA: 1:59 - loss: 254.4516 - logits_profile_predictions_loss: 251.7463 - logcount_predictions_loss: 0.2528 195/1057 [====>.........................] - ETA: 1:59 - loss: 254.4619 - logits_profile_predictions_loss: 251.7566 - logcount_predictions_loss: 0.2528 196/1057 [====>.........................] - ETA: 1:59 - loss: 254.4719 - 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[====>.........................] - ETA: 1:58 - loss: 254.5330 - logits_profile_predictions_loss: 251.8273 - logcount_predictions_loss: 0.2529 204/1057 [====>.........................] - ETA: 1:58 - loss: 254.5413 - logits_profile_predictions_loss: 251.8356 - logcount_predictions_loss: 0.2529 205/1057 [====>.........................] - ETA: 1:58 - loss: 254.5498 - logits_profile_predictions_loss: 251.8440 - logcount_predictions_loss: 0.2529 206/1057 [====>.........................] - ETA: 1:58 - loss: 254.5578 - logits_profile_predictions_loss: 251.8520 - logcount_predictions_loss: 0.2529 207/1057 [====>.........................] - ETA: 1:58 - loss: 254.5652 - logits_profile_predictions_loss: 251.8594 - logcount_predictions_loss: 0.2529 208/1057 [====>.........................] - ETA: 1:57 - loss: 254.5722 - logits_profile_predictions_loss: 251.8663 - logcount_predictions_loss: 0.2529 209/1057 [====>.........................] - ETA: 1:57 - loss: 254.5798 - 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loss: 256.6742 - logits_profile_predictions_loss: 253.9560 - logcount_predictions_loss: 0.2540 944/1057 [=========================>....] - ETA: 15s - loss: 256.6751 - logits_profile_predictions_loss: 253.9570 - logcount_predictions_loss: 0.2540 945/1057 [=========================>....] - ETA: 15s - loss: 256.6760 - logits_profile_predictions_loss: 253.9579 - logcount_predictions_loss: 0.2540 946/1057 [=========================>....] - ETA: 15s - loss: 256.6769 - logits_profile_predictions_loss: 253.9588 - logcount_predictions_loss: 0.2540 947/1057 [=========================>....] - ETA: 15s - loss: 256.6778 - logits_profile_predictions_loss: 253.9597 - logcount_predictions_loss: 0.2540 948/1057 [=========================>....] - ETA: 15s - loss: 256.6787 - logits_profile_predictions_loss: 253.9607 - logcount_predictions_loss: 0.2540 949/1057 [=========================>....] - ETA: 14s - loss: 256.6796 - logits_profile_predictions_loss: 253.9616 - logcount_predictions_loss: 0.2540 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253.9803 - logcount_predictions_loss: 0.2540 970/1057 [==========================>...] - ETA: 12s - loss: 256.6989 - logits_profile_predictions_loss: 253.9812 - logcount_predictions_loss: 0.2540 971/1057 [==========================>...] - ETA: 11s - loss: 256.6998 - logits_profile_predictions_loss: 253.9822 - logcount_predictions_loss: 0.2540 972/1057 [==========================>...] - ETA: 11s - loss: 256.7007 - logits_profile_predictions_loss: 253.9831 - logcount_predictions_loss: 0.2540 973/1057 [==========================>...] - ETA: 11s - loss: 256.7016 - logits_profile_predictions_loss: 253.9840 - logcount_predictions_loss: 0.2540 974/1057 [==========================>...] - ETA: 11s - loss: 256.7025 - logits_profile_predictions_loss: 253.9849 - logcount_predictions_loss: 0.2540 975/1057 [==========================>...] - ETA: 11s - loss: 256.7034 - logits_profile_predictions_loss: 253.9858 - logcount_predictions_loss: 0.2540 976/1057 [==========================>...] - ETA: 11s - loss: 256.7043 - logits_profile_predictions_loss: 253.9867 - logcount_predictions_loss: 0.2540 977/1057 [==========================>...] - ETA: 11s - loss: 256.7052 - logits_profile_predictions_loss: 253.9877 - logcount_predictions_loss: 0.2540 978/1057 [==========================>...] - ETA: 10s - loss: 256.7061 - logits_profile_predictions_loss: 253.9886 - logcount_predictions_loss: 0.2540 979/1057 [==========================>...] - ETA: 10s - loss: 256.7070 - logits_profile_predictions_loss: 253.9895 - logcount_predictions_loss: 0.2540 980/1057 [==========================>...] - ETA: 10s - loss: 256.7079 - logits_profile_predictions_loss: 253.9904 - logcount_predictions_loss: 0.2540 981/1057 [==========================>...] - ETA: 10s - loss: 256.7088 - logits_profile_predictions_loss: 253.9913 - logcount_predictions_loss: 0.2540 982/1057 [==========================>...] - ETA: 10s - loss: 256.7097 - logits_profile_predictions_loss: 253.9922 - logcount_predictions_loss: 0.2540 983/1057 [==========================>...] - ETA: 10s - loss: 256.7106 - logits_profile_predictions_loss: 253.9931 - logcount_predictions_loss: 0.2540 984/1057 [==========================>...] - ETA: 10s - loss: 256.7115 - logits_profile_predictions_loss: 253.9940 - logcount_predictions_loss: 0.2540 985/1057 [==========================>...] - ETA: 9s - loss: 256.7123 - logits_profile_predictions_loss: 253.9949 - logcount_predictions_loss: 0.2540  986/1057 [==========================>...] - ETA: 9s - loss: 256.7132 - logits_profile_predictions_loss: 253.9958 - logcount_predictions_loss: 0.2540 987/1057 [===========================>..] - ETA: 9s - loss: 256.7141 - logits_profile_predictions_loss: 253.9967 - logcount_predictions_loss: 0.2540 988/1057 [===========================>..] - ETA: 9s - loss: 256.7150 - logits_profile_predictions_loss: 253.9976 - logcount_predictions_loss: 0.2540 989/1057 [===========================>..] - ETA: 9s - loss: 256.7158 - logits_profile_predictions_loss: 253.9985 - logcount_predictions_loss: 0.2540 990/1057 [===========================>..] - ETA: 9s - loss: 256.7167 - logits_profile_predictions_loss: 253.9994 - logcount_predictions_loss: 0.2540 991/1057 [===========================>..] - ETA: 9s - loss: 256.7176 - logits_profile_predictions_loss: 254.0003 - logcount_predictions_loss: 0.2540 992/1057 [===========================>..] - ETA: 9s - loss: 256.7185 - logits_profile_predictions_loss: 254.0012 - logcount_predictions_loss: 0.2540 993/1057 [===========================>..] - ETA: 8s - loss: 256.7194 - logits_profile_predictions_loss: 254.0021 - logcount_predictions_loss: 0.2540 994/1057 [===========================>..] - ETA: 8s - loss: 256.7202 - logits_profile_predictions_loss: 254.0029 - logcount_predictions_loss: 0.2540 995/1057 [===========================>..] - ETA: 8s - loss: 256.7211 - logits_profile_predictions_loss: 254.0038 - logcount_predictions_loss: 0.2540 996/1057 [===========================>..] - ETA: 8s - loss: 256.7220 - logits_profile_predictions_loss: 254.0047 - logcount_predictions_loss: 0.2540 997/1057 [===========================>..] - ETA: 8s - loss: 256.7229 - logits_profile_predictions_loss: 254.0056 - logcount_predictions_loss: 0.2540 998/1057 [===========================>..] - ETA: 8s - loss: 256.7238 - logits_profile_predictions_loss: 254.0065 - logcount_predictions_loss: 0.2540 999/1057 [===========================>..] - ETA: 8s - loss: 256.7246 - logits_profile_predictions_loss: 254.0074 - logcount_predictions_loss: 0.2540 1000/1057 [===========================>..] - ETA: 7s - loss: 256.7255 - logits_profile_predictions_loss: 254.0082 - logcount_predictions_loss: 0.2540 1001/1057 [===========================>..] - ETA: 7s - loss: 256.7263 - logits_profile_predictions_loss: 254.0091 - logcount_predictions_loss: 0.2540 1002/1057 [===========================>..] - ETA: 7s - loss: 256.7272 - logits_profile_predictions_loss: 254.0100 - logcount_predictions_loss: 0.2540 1003/1057 [===========================>..] - ETA: 7s - loss: 256.7281 - logits_profile_predictions_loss: 254.0109 - logcount_predictions_loss: 0.2539 1004/1057 [===========================>..] - ETA: 7s - loss: 256.7290 - logits_profile_predictions_loss: 254.0119 - logcount_predictions_loss: 0.2539 1005/1057 [===========================>..] - ETA: 7s - loss: 256.7300 - logits_profile_predictions_loss: 254.0128 - logcount_predictions_loss: 0.2539 1006/1057 [===========================>..] - ETA: 7s - loss: 256.7309 - logits_profile_predictions_loss: 254.0137 - logcount_predictions_loss: 0.2539 1007/1057 [===========================>..] - ETA: 6s - loss: 256.7318 - logits_profile_predictions_loss: 254.0146 - logcount_predictions_loss: 0.2539 1008/1057 [===========================>..] - ETA: 6s - loss: 256.7326 - logits_profile_predictions_loss: 254.0155 - logcount_predictions_loss: 0.2539 1009/1057 [===========================>..] - ETA: 6s - loss: 256.7335 - logits_profile_predictions_loss: 254.0164 - logcount_predictions_loss: 0.2539 1010/1057 [===========================>..] - ETA: 6s - loss: 256.7343 - logits_profile_predictions_loss: 254.0172 - logcount_predictions_loss: 0.2539 1011/1057 [===========================>..] - ETA: 6s - loss: 256.7352 - logits_profile_predictions_loss: 254.0181 - logcount_predictions_loss: 0.2539 1012/1057 [===========================>..] - ETA: 6s - loss: 256.7360 - logits_profile_predictions_loss: 254.0189 - logcount_predictions_loss: 0.2539 1013/1057 [===========================>..] - ETA: 6s - loss: 256.7368 - logits_profile_predictions_loss: 254.0198 - logcount_predictions_loss: 0.2539 1014/1057 [===========================>..] - ETA: 5s - loss: 256.7377 - logits_profile_predictions_loss: 254.0206 - logcount_predictions_loss: 0.2539 1015/1057 [===========================>..] - ETA: 5s - loss: 256.7385 - logits_profile_predictions_loss: 254.0215 - logcount_predictions_loss: 0.2539 1016/1057 [===========================>..] - ETA: 5s - loss: 256.7393 - logits_profile_predictions_loss: 254.0223 - logcount_predictions_loss: 0.2539 1017/1057 [===========================>..] - ETA: 5s - loss: 256.7401 - logits_profile_predictions_loss: 254.0231 - logcount_predictions_loss: 0.2539 1018/1057 [===========================>..] - ETA: 5s - loss: 256.7409 - logits_profile_predictions_loss: 254.0239 - logcount_predictions_loss: 0.2539 1019/1057 [===========================>..] - ETA: 5s - loss: 256.7417 - logits_profile_predictions_loss: 254.0248 - logcount_predictions_loss: 0.2539 1020/1057 [===========================>..] - ETA: 5s - loss: 256.7426 - logits_profile_predictions_loss: 254.0256 - logcount_predictions_loss: 0.2539 1021/1057 [===========================>..] - ETA: 4s - loss: 256.7434 - logits_profile_predictions_loss: 254.0264 - logcount_predictions_loss: 0.2539 1022/1057 [============================>.] - ETA: 4s - loss: 256.7442 - logits_profile_predictions_loss: 254.0273 - logcount_predictions_loss: 0.2539 1023/1057 [============================>.] - ETA: 4s - loss: 256.7450 - logits_profile_predictions_loss: 254.0281 - logcount_predictions_loss: 0.2539 1024/1057 [============================>.] - ETA: 4s - loss: 256.7458 - logits_profile_predictions_loss: 254.0289 - logcount_predictions_loss: 0.2539 1025/1057 [============================>.] - ETA: 4s - loss: 256.7466 - logits_profile_predictions_loss: 254.0297 - logcount_predictions_loss: 0.2539 1026/1057 [============================>.] - ETA: 4s - loss: 256.7473 - logits_profile_predictions_loss: 254.0305 - logcount_predictions_loss: 0.2539 1027/1057 [============================>.] - ETA: 4s - loss: 256.7482 - logits_profile_predictions_loss: 254.0313 - logcount_predictions_loss: 0.2539 1028/1057 [============================>.] - ETA: 4s - loss: 256.7489 - logits_profile_predictions_loss: 254.0321 - logcount_predictions_loss: 0.2539 1029/1057 [============================>.] - ETA: 3s - loss: 256.7497 - logits_profile_predictions_loss: 254.0329 - logcount_predictions_loss: 0.2539 1030/1057 [============================>.] - ETA: 3s - loss: 256.7506 - logits_profile_predictions_loss: 254.0337 - logcount_predictions_loss: 0.2539 1031/1057 [============================>.] - ETA: 3s - loss: 256.7514 - logits_profile_predictions_loss: 254.0345 - logcount_predictions_loss: 0.2539 1032/1057 [============================>.] - ETA: 3s - loss: 256.7522 - logits_profile_predictions_loss: 254.0354 - logcount_predictions_loss: 0.2539 1033/1057 [============================>.] - ETA: 3s - loss: 256.7530 - logits_profile_predictions_loss: 254.0362 - logcount_predictions_loss: 0.2539 1034/1057 [============================>.] - ETA: 3s - loss: 256.7538 - logits_profile_predictions_loss: 254.0370 - logcount_predictions_loss: 0.2539 1035/1057 [============================>.] - ETA: 3s - loss: 256.7546 - logits_profile_predictions_loss: 254.0378 - logcount_predictions_loss: 0.2539 1036/1057 [============================>.] - ETA: 2s - loss: 256.7554 - logits_profile_predictions_loss: 254.0387 - logcount_predictions_loss: 0.2539 1037/1057 [============================>.] - ETA: 2s - loss: 256.7563 - logits_profile_predictions_loss: 254.0395 - logcount_predictions_loss: 0.2539 1038/1057 [============================>.] - ETA: 2s - loss: 256.7571 - logits_profile_predictions_loss: 254.0404 - logcount_predictions_loss: 0.2539 1039/1057 [============================>.] - ETA: 2s - loss: 256.7580 - logits_profile_predictions_loss: 254.0412 - logcount_predictions_loss: 0.2539 1040/1057 [============================>.] - ETA: 2s - loss: 256.7588 - logits_profile_predictions_loss: 254.0421 - logcount_predictions_loss: 0.2539 1041/1057 [============================>.] - ETA: 2s - loss: 256.7596 - logits_profile_predictions_loss: 254.0429 - logcount_predictions_loss: 0.2539 1042/1057 [============================>.] - ETA: 2s - loss: 256.7605 - logits_profile_predictions_loss: 254.0438 - logcount_predictions_loss: 0.2539 1043/1057 [============================>.] - ETA: 1s - loss: 256.7613 - logits_profile_predictions_loss: 254.0446 - logcount_predictions_loss: 0.2539 1044/1057 [============================>.] - ETA: 1s - loss: 256.7621 - logits_profile_predictions_loss: 254.0454 - logcount_predictions_loss: 0.2539 1045/1057 [============================>.] - ETA: 1s - loss: 256.7630 - logits_profile_predictions_loss: 254.0463 - logcount_predictions_loss: 0.2539 1046/1057 [============================>.] - ETA: 1s - loss: 256.7638 - logits_profile_predictions_loss: 254.0471 - logcount_predictions_loss: 0.2539 1047/1057 [============================>.] - ETA: 1s - loss: 256.7646 - logits_profile_predictions_loss: 254.0479 - logcount_predictions_loss: 0.2539 1048/1057 [============================>.] - ETA: 1s - loss: 256.7654 - logits_profile_predictions_loss: 254.0488 - logcount_predictions_loss: 0.2539 1049/1057 [============================>.] - ETA: 1s - loss: 256.7662 - logits_profile_predictions_loss: 254.0496 - logcount_predictions_loss: 0.2539 1050/1057 [============================>.] - ETA: 0s - loss: 256.7671 - logits_profile_predictions_loss: 254.0504 - logcount_predictions_loss: 0.2539 1051/1057 [============================>.] - ETA: 0s - loss: 256.7679 - logits_profile_predictions_loss: 254.0513 - logcount_predictions_loss: 0.2539 1052/1057 [============================>.] - ETA: 0s - loss: 256.7687 - logits_profile_predictions_loss: 254.0521 - logcount_predictions_loss: 0.2539 1053/1057 [============================>.] - ETA: 0s - loss: 256.7695 - logits_profile_predictions_loss: 254.0529 - logcount_predictions_loss: 0.2539 1054/1057 [============================>.] - ETA: 0s - loss: 256.7703 - logits_profile_predictions_loss: 254.0537 - logcount_predictions_loss: 0.2539 1055/1057 [============================>.] - ETA: 0s - loss: 256.7712 - logits_profile_predictions_loss: 254.0546 - logcount_predictions_loss: 0.2539 1056/1057 [============================>.] - ETA: 0s - loss: 256.7720 - logits_profile_predictions_loss: 254.0554 - logcount_predictions_loss: 0.2539 1057/1057 [==============================] - ETA: 0s - loss: 256.7728 - logits_profile_predictions_loss: 254.0563 - logcount_predictions_loss: 0.2539 1057/1057 [==============================] - 156s 147ms/step - loss: 256.7736 - logits_profile_predictions_loss: 254.0571 - logcount_predictions_loss: 0.2539 - val_loss: 293.5634 - val_logits_profile_predictions_loss: 290.1064 - val_logcount_predictions_loss: 0.3231 + +Epoch 00010: val_loss did not improve from 291.52222 +Restoring model weights from the end of the best epoch. +Epoch 00010: early stopping +save model +save model without bias +2022-09-22_05-48-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(18309, 10) +loading nonpeaks... +got split:test for bed regions:(17413, 10) +0/140 +100/140 +2022-09-22_05-49-45: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(18309, 10) +loading nonpeaks... +got split:test for bed regions:(17413, 10) +0/140 +100/140 +2022-09-22_05-51-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(18309, 10) +loading nonpeaks... +got split:test for bed regions:(17413, 10) +0/140 +100/140 +2022-09-22_05-51-54: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_05-51-54: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 1:39 3/18 [====>.........................] - ETA: 4s  4/18 [=====>........................] - ETA: 5s 5/18 [=======>......................] - ETA: 6s 6/18 [=========>....................] - ETA: 6s 7/18 [==========>...................] - ETA: 5s 8/18 [============>.................] - ETA: 5s 9/18 [==============>...............] - ETA: 4s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 3s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 2s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 20s 808ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 647ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 647ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 647ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +Saving marginal footprints +2022-09-22_05-54-03: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_05-54-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 39s 3/18 [====>.........................] - ETA: 0s  4/18 [=====>........................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 4s 77ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +Saving marginal footprints diff --git a/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stdout_v1.txt b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9038c82e387f5efb82490f2e4621836131211fe7 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR823ZCR/logfile.modelling.fold_1.ENCSR823ZCR.stdout_v1.txt @@ -0,0 +1,442 @@ +2022-09-22_05-18-25: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_1/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr3', 'chr4', 'chr5', 'chr6', 'chr7', 'chr10', 'chr11', 'chr13', 'chr14', 'chr15', 'chr18', 'chr19', 'chr20', 'chr21', 'chr22', 'chrX', 'chrY', 'chr12', 'chr17'] +Number of peaks input: 70637 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 70637 +Number of peaks input: 18309 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 18309 +Number of non peaks input: 71532 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 71532 +Number of non peaks input: 17413 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 17413 +Number of peaks after removing outliers: 69860 +Number of nonpeaks after removing outliers: 63308 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/1979 [..............................] - ETA: 3:35:35 13/1979 [..............................] - ETA: 8s  25/1979 [..............................] - ETA: 8s 37/1979 [..............................] - ETA: 8s 49/1979 [..............................] - ETA: 8s 61/1979 [..............................] - ETA: 8s 73/1979 [>.............................] - ETA: 8s 85/1979 [>.............................] - ETA: 8s 97/1979 [>.............................] - ETA: 8s 109/1979 [>.............................] - ETA: 8s 121/1979 [>.............................] - ETA: 8s 133/1979 [=>............................] - ETA: 8s 145/1979 [=>............................] - ETA: 8s 157/1979 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1969/1979 [============================>.] - ETA: 0s 1979/1979 [==============================] - ETA: 0s 1979/1979 [==============================] - 15s 4ms/step +2022-09-22_05-20-14: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(61445, 10) +loading nonpeaks... +got split:train for bed regions:(55705, 10) +loading peaks... +got split:valid for bed regions:(8415, 10) +loading nonpeaks... +got split:valid for bed regions:(7603, 10) +Epoch 1/50 + 1/1057 [..............................] - ETA: 1:36:32 - loss: 306.5489 - logits_profile_predictions_loss: 285.9872 - logcount_predictions_loss: 1.9217 2/1057 [..............................] - ETA: 2:28 - loss: 1325.0644 - logits_profile_predictions_loss: 277.9317 - logcount_predictions_loss: 97.8629  3/1057 [..............................] - ETA: 2:27 - loss: 1438.4576 - logits_profile_predictions_loss: 277.0140 - logcount_predictions_loss: 108.5461 4/1057 [..............................] - ETA: 2:26 - loss: 1408.6106 - logits_profile_predictions_loss: 275.6499 - logcount_predictions_loss: 105.8842 5/1057 [..............................] - ETA: 2:26 - loss: 1350.9193 - logits_profile_predictions_loss: 275.9099 - logcount_predictions_loss: 100.4682 6/1057 [..............................] - ETA: 2:26 - loss: 1289.8884 - logits_profile_predictions_loss: 276.2747 - logcount_predictions_loss: 94.7303  7/1057 [..............................] - ETA: 2:26 - loss: 1231.8709 - logits_profile_predictions_loss: 276.1395 - logcount_predictions_loss: 89.3207 8/1057 [..............................] - ETA: 2:26 - loss: 1179.1966 - logits_profile_predictions_loss: 276.0704 - logcount_predictions_loss: 84.4043 9/1057 [..............................] - ETA: 2:25 - loss: 1131.9494 - logits_profile_predictions_loss: 276.0569 - logcount_predictions_loss: 79.9900 10/1057 [..............................] - ETA: 2:25 - loss: 1089.4935 - logits_profile_predictions_loss: 275.9841 - logcount_predictions_loss: 76.0289 11/1057 [..............................] - ETA: 2:25 - loss: 1051.8816 - logits_profile_predictions_loss: 276.3587 - logcount_predictions_loss: 72.4788 12/1057 [..............................] - ETA: 2:25 - loss: 1018.0150 - logits_profile_predictions_loss: 276.7291 - logcount_predictions_loss: 69.2791 13/1057 [..............................] - ETA: 2:25 - loss: 987.3788 - logits_profile_predictions_loss: 277.0795 - logcount_predictions_loss: 66.3831  14/1057 [..............................] - ETA: 2:25 - loss: 959.5495 - logits_profile_predictions_loss: 277.4159 - logcount_predictions_loss: 63.7508 15/1057 [..............................] - ETA: 2:24 - loss: 934.2258 - logits_profile_predictions_loss: 277.7845 - logcount_predictions_loss: 61.3497 16/1057 [..............................] - ETA: 2:24 - loss: 910.8801 - logits_profile_predictions_loss: 278.0004 - logcount_predictions_loss: 59.1476 17/1057 [..............................] - ETA: 2:24 - loss: 889.3926 - logits_profile_predictions_loss: 278.1937 - logcount_predictions_loss: 57.1214 18/1057 [..............................] - ETA: 2:24 - loss: 869.5161 - logits_profile_predictions_loss: 278.3362 - logcount_predictions_loss: 55.2505 19/1057 [..............................] - ETA: 2:24 - loss: 851.0141 - logits_profile_predictions_loss: 278.3907 - logcount_predictions_loss: 53.5162 20/1057 [..............................] - ETA: 2:24 - loss: 833.7697 - logits_profile_predictions_loss: 278.3968 - logcount_predictions_loss: 51.9040 21/1057 [..............................] - ETA: 2:23 - loss: 817.6582 - logits_profile_predictions_loss: 278.3640 - logcount_predictions_loss: 50.4013 22/1057 [..............................] - ETA: 2:23 - loss: 802.6298 - logits_profile_predictions_loss: 278.3522 - logcount_predictions_loss: 48.9979 23/1057 [..............................] - ETA: 2:23 - loss: 788.5327 - logits_profile_predictions_loss: 278.3199 - logcount_predictions_loss: 47.6834 24/1057 [..............................] - ETA: 2:23 - loss: 775.3334 - logits_profile_predictions_loss: 278.3199 - logcount_predictions_loss: 46.4499 25/1057 [..............................] - ETA: 2:23 - loss: 762.9057 - 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[..............................] - ETA: 2:24 - loss: 270.6281 - logits_profile_predictions_loss: 265.4319 - logcount_predictions_loss: 0.4856 20/1057 [..............................] - ETA: 2:24 - loss: 270.7665 - logits_profile_predictions_loss: 265.5744 - logcount_predictions_loss: 0.4852 21/1057 [..............................] - ETA: 2:24 - loss: 270.9133 - logits_profile_predictions_loss: 265.7251 - logcount_predictions_loss: 0.4849 22/1057 [..............................] - ETA: 2:24 - loss: 271.0034 - logits_profile_predictions_loss: 265.8168 - logcount_predictions_loss: 0.4847 23/1057 [..............................] - ETA: 2:23 - loss: 271.0564 - logits_profile_predictions_loss: 265.8720 - logcount_predictions_loss: 0.4845 24/1057 [..............................] - ETA: 2:23 - loss: 271.1061 - logits_profile_predictions_loss: 265.9216 - logcount_predictions_loss: 0.4845 25/1057 [..............................] - ETA: 2:23 - loss: 271.1433 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:15 - loss: 270.8724 - logits_profile_predictions_loss: 265.8946 - logcount_predictions_loss: 0.4652 86/1057 [=>............................] - ETA: 2:14 - loss: 270.8822 - logits_profile_predictions_loss: 265.9066 - logcount_predictions_loss: 0.4650 87/1057 [=>............................] - ETA: 2:14 - loss: 270.8906 - logits_profile_predictions_loss: 265.9172 - logcount_predictions_loss: 0.4648 88/1057 [=>............................] - ETA: 2:14 - loss: 270.8959 - logits_profile_predictions_loss: 265.9246 - logcount_predictions_loss: 0.4646 89/1057 [=>............................] - ETA: 2:14 - loss: 270.8983 - logits_profile_predictions_loss: 265.9291 - logcount_predictions_loss: 0.4644 90/1057 [=>............................] - ETA: 2:14 - loss: 270.9016 - logits_profile_predictions_loss: 265.9343 - logcount_predictions_loss: 0.4642 91/1057 [=>............................] - ETA: 2:14 - loss: 270.9042 - logits_profile_predictions_loss: 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105/1057 [=>............................] - ETA: 2:12 - loss: 270.9811 - logits_profile_predictions_loss: 266.0337 - logcount_predictions_loss: 0.4624 106/1057 [==>...........................] - ETA: 2:12 - loss: 270.9872 - logits_profile_predictions_loss: 266.0409 - logcount_predictions_loss: 0.4623 107/1057 [==>...........................] - ETA: 2:12 - loss: 270.9913 - logits_profile_predictions_loss: 266.0460 - logcount_predictions_loss: 0.4622 108/1057 [==>...........................] - ETA: 2:11 - loss: 270.9945 - logits_profile_predictions_loss: 266.0504 - logcount_predictions_loss: 0.4621 109/1057 [==>...........................] - ETA: 2:11 - loss: 270.9983 - logits_profile_predictions_loss: 266.0552 - logcount_predictions_loss: 0.4620 110/1057 [==>...........................] - ETA: 2:11 - loss: 271.0023 - logits_profile_predictions_loss: 266.0604 - logcount_predictions_loss: 0.4619 111/1057 [==>...........................] - ETA: 2:11 - loss: 271.0090 - logits_profile_predictions_loss: 266.0682 - logcount_predictions_loss: 0.4618 112/1057 [==>...........................] - ETA: 2:11 - loss: 271.0165 - logits_profile_predictions_loss: 266.0768 - logcount_predictions_loss: 0.4617 113/1057 [==>...........................] - ETA: 2:11 - loss: 271.0245 - logits_profile_predictions_loss: 266.0859 - logcount_predictions_loss: 0.4615 114/1057 [==>...........................] - ETA: 2:11 - loss: 271.0318 - logits_profile_predictions_loss: 266.0943 - logcount_predictions_loss: 0.4614 115/1057 [==>...........................] - ETA: 2:10 - loss: 271.0383 - logits_profile_predictions_loss: 266.1019 - logcount_predictions_loss: 0.4613 116/1057 [==>...........................] - ETA: 2:10 - loss: 271.0444 - logits_profile_predictions_loss: 266.1091 - logcount_predictions_loss: 0.4612 117/1057 [==>...........................] - ETA: 2:10 - loss: 271.0502 - logits_profile_predictions_loss: 266.1161 - logcount_predictions_loss: 0.4611 118/1057 [==>...........................] - ETA: 2:10 - loss: 271.0575 - logits_profile_predictions_loss: 266.1245 - logcount_predictions_loss: 0.4610 119/1057 [==>...........................] - ETA: 2:10 - loss: 271.0669 - logits_profile_predictions_loss: 266.1349 - logcount_predictions_loss: 0.4609 120/1057 [==>...........................] - ETA: 2:10 - loss: 271.0757 - logits_profile_predictions_loss: 266.1447 - logcount_predictions_loss: 0.4608 121/1057 [==>...........................] - ETA: 2:10 - loss: 271.0840 - logits_profile_predictions_loss: 266.1541 - logcount_predictions_loss: 0.4607 122/1057 [==>...........................] - ETA: 2:09 - loss: 271.0930 - logits_profile_predictions_loss: 266.1640 - logcount_predictions_loss: 0.4607 123/1057 [==>...........................] - ETA: 2:09 - loss: 271.1011 - logits_profile_predictions_loss: 266.1731 - logcount_predictions_loss: 0.4606 124/1057 [==>...........................] - ETA: 2:09 - loss: 271.1075 - logits_profile_predictions_loss: 266.1805 - logcount_predictions_loss: 0.4605 125/1057 [==>...........................] - ETA: 2:09 - loss: 271.1139 - logits_profile_predictions_loss: 266.1880 - logcount_predictions_loss: 0.4604 126/1057 [==>...........................] - ETA: 2:09 - loss: 271.1220 - logits_profile_predictions_loss: 266.1970 - logcount_predictions_loss: 0.4603 127/1057 [==>...........................] - ETA: 2:09 - loss: 271.1301 - logits_profile_predictions_loss: 266.2060 - logcount_predictions_loss: 0.4602 128/1057 [==>...........................] - ETA: 2:09 - loss: 271.1376 - logits_profile_predictions_loss: 266.2143 - logcount_predictions_loss: 0.4601 129/1057 [==>...........................] - ETA: 2:08 - loss: 271.1445 - logits_profile_predictions_loss: 266.2221 - logcount_predictions_loss: 0.4600 130/1057 [==>...........................] - ETA: 2:08 - loss: 271.1500 - logits_profile_predictions_loss: 266.2284 - logcount_predictions_loss: 0.4600 131/1057 [==>...........................] - ETA: 2:08 - loss: 271.1563 - logits_profile_predictions_loss: 266.2355 - logcount_predictions_loss: 0.4599 132/1057 [==>...........................] - ETA: 2:08 - loss: 271.1630 - logits_profile_predictions_loss: 266.2431 - logcount_predictions_loss: 0.4598 133/1057 [==>...........................] - ETA: 2:08 - loss: 271.1704 - logits_profile_predictions_loss: 266.2513 - logcount_predictions_loss: 0.4597 134/1057 [==>...........................] - ETA: 2:08 - loss: 271.1772 - logits_profile_predictions_loss: 266.2590 - logcount_predictions_loss: 0.4596 135/1057 [==>...........................] - ETA: 2:08 - loss: 271.1838 - logits_profile_predictions_loss: 266.2664 - logcount_predictions_loss: 0.4596 136/1057 [==>...........................] - ETA: 2:08 - loss: 271.1891 - logits_profile_predictions_loss: 266.2726 - logcount_predictions_loss: 0.4595 137/1057 [==>...........................] - ETA: 2:07 - loss: 271.1958 - logits_profile_predictions_loss: 266.2802 - logcount_predictions_loss: 0.4594 138/1057 [==>...........................] - ETA: 2:07 - loss: 271.2011 - logits_profile_predictions_loss: 266.2863 - logcount_predictions_loss: 0.4593 139/1057 [==>...........................] - ETA: 2:07 - loss: 271.2051 - logits_profile_predictions_loss: 266.2912 - logcount_predictions_loss: 0.4592 140/1057 [==>...........................] - ETA: 2:07 - loss: 271.2090 - logits_profile_predictions_loss: 266.2960 - logcount_predictions_loss: 0.4592 141/1057 [===>..........................] - ETA: 2:07 - loss: 271.2130 - logits_profile_predictions_loss: 266.3007 - logcount_predictions_loss: 0.4591 142/1057 [===>..........................] - ETA: 2:07 - loss: 271.2163 - logits_profile_predictions_loss: 266.3048 - logcount_predictions_loss: 0.4590 143/1057 [===>..........................] - ETA: 2:07 - loss: 271.2212 - logits_profile_predictions_loss: 266.3104 - logcount_predictions_loss: 0.4590 144/1057 [===>..........................] - ETA: 2:06 - loss: 271.2241 - logits_profile_predictions_loss: 266.3140 - logcount_predictions_loss: 0.4589 145/1057 [===>..........................] - ETA: 2:06 - loss: 271.2257 - logits_profile_predictions_loss: 266.3164 - logcount_predictions_loss: 0.4588 146/1057 [===>..........................] - ETA: 2:06 - loss: 271.2272 - logits_profile_predictions_loss: 266.3186 - logcount_predictions_loss: 0.4588 147/1057 [===>..........................] - ETA: 2:06 - loss: 271.2295 - logits_profile_predictions_loss: 266.3215 - logcount_predictions_loss: 0.4587 148/1057 [===>..........................] - ETA: 2:06 - loss: 271.2310 - logits_profile_predictions_loss: 266.3236 - logcount_predictions_loss: 0.4586 149/1057 [===>..........................] - ETA: 2:06 - loss: 271.2330 - logits_profile_predictions_loss: 266.3261 - logcount_predictions_loss: 0.4586 150/1057 [===>..........................] - ETA: 2:06 - loss: 271.2354 - 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[===>..........................] - ETA: 2:05 - loss: 271.2367 - logits_profile_predictions_loss: 266.3346 - logcount_predictions_loss: 0.4581 158/1057 [===>..........................] - ETA: 2:04 - loss: 271.2365 - logits_profile_predictions_loss: 266.3350 - logcount_predictions_loss: 0.4581 159/1057 [===>..........................] - ETA: 2:04 - loss: 271.2363 - logits_profile_predictions_loss: 266.3354 - logcount_predictions_loss: 0.4580 160/1057 [===>..........................] - ETA: 2:04 - loss: 271.2369 - logits_profile_predictions_loss: 266.3367 - logcount_predictions_loss: 0.4580 161/1057 [===>..........................] - ETA: 2:04 - loss: 271.2365 - logits_profile_predictions_loss: 266.3369 - logcount_predictions_loss: 0.4579 162/1057 [===>..........................] - ETA: 2:04 - loss: 271.2354 - logits_profile_predictions_loss: 266.3365 - logcount_predictions_loss: 0.4578 163/1057 [===>..........................] - ETA: 2:04 - loss: 271.2350 - 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[===>..........................] - ETA: 2:03 - loss: 271.2438 - logits_profile_predictions_loss: 266.3493 - logcount_predictions_loss: 0.4574 171/1057 [===>..........................] - ETA: 2:03 - loss: 271.2464 - logits_profile_predictions_loss: 266.3524 - logcount_predictions_loss: 0.4574 172/1057 [===>..........................] - ETA: 2:03 - loss: 271.2496 - logits_profile_predictions_loss: 266.3560 - logcount_predictions_loss: 0.4573 173/1057 [===>..........................] - ETA: 2:02 - loss: 271.2537 - logits_profile_predictions_loss: 266.3605 - logcount_predictions_loss: 0.4573 174/1057 [===>..........................] - ETA: 2:02 - loss: 271.2582 - logits_profile_predictions_loss: 266.3655 - logcount_predictions_loss: 0.4573 175/1057 [===>..........................] - ETA: 2:02 - loss: 271.2624 - logits_profile_predictions_loss: 266.3701 - logcount_predictions_loss: 0.4572 176/1057 [===>..........................] - ETA: 2:02 - loss: 271.2663 - 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[====>.........................] - ETA: 2:01 - loss: 271.3006 - logits_profile_predictions_loss: 266.4114 - logcount_predictions_loss: 0.4569 184/1057 [====>.........................] - ETA: 2:01 - loss: 271.3059 - logits_profile_predictions_loss: 266.4169 - logcount_predictions_loss: 0.4569 185/1057 [====>.........................] - ETA: 2:01 - loss: 271.3110 - logits_profile_predictions_loss: 266.4224 - logcount_predictions_loss: 0.4569 186/1057 [====>.........................] - ETA: 2:01 - loss: 271.3156 - logits_profile_predictions_loss: 266.4274 - logcount_predictions_loss: 0.4568 187/1057 [====>.........................] - ETA: 2:00 - loss: 271.3205 - logits_profile_predictions_loss: 266.4325 - logcount_predictions_loss: 0.4568 188/1057 [====>.........................] - ETA: 2:00 - loss: 271.3257 - logits_profile_predictions_loss: 266.4380 - logcount_predictions_loss: 0.4568 189/1057 [====>.........................] - ETA: 2:00 - loss: 271.3317 - 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[====>.........................] - ETA: 1:59 - loss: 271.3619 - logits_profile_predictions_loss: 266.4762 - logcount_predictions_loss: 0.4566 197/1057 [====>.........................] - ETA: 1:59 - loss: 271.3661 - logits_profile_predictions_loss: 266.4805 - logcount_predictions_loss: 0.4566 198/1057 [====>.........................] - ETA: 1:59 - loss: 271.3698 - logits_profile_predictions_loss: 266.4845 - logcount_predictions_loss: 0.4566 199/1057 [====>.........................] - ETA: 1:59 - loss: 271.3737 - logits_profile_predictions_loss: 266.4886 - logcount_predictions_loss: 0.4565 200/1057 [====>.........................] - ETA: 1:59 - loss: 271.3786 - logits_profile_predictions_loss: 266.4937 - logcount_predictions_loss: 0.4565 201/1057 [====>.........................] - ETA: 1:58 - loss: 271.3830 - logits_profile_predictions_loss: 266.4984 - logcount_predictions_loss: 0.4565 202/1057 [====>.........................] - ETA: 1:58 - loss: 271.3871 - 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[====>.........................] - ETA: 1:57 - loss: 271.4160 - logits_profile_predictions_loss: 266.5327 - logcount_predictions_loss: 0.4564 210/1057 [====>.........................] - ETA: 1:57 - loss: 271.4206 - logits_profile_predictions_loss: 266.5374 - logcount_predictions_loss: 0.4564 211/1057 [====>.........................] - ETA: 1:57 - loss: 271.4246 - logits_profile_predictions_loss: 266.5415 - logcount_predictions_loss: 0.4564 212/1057 [=====>........................] - ETA: 1:57 - loss: 271.4285 - logits_profile_predictions_loss: 266.5453 - logcount_predictions_loss: 0.4564 213/1057 [=====>........................] - ETA: 1:57 - loss: 271.4323 - logits_profile_predictions_loss: 266.5492 - logcount_predictions_loss: 0.4564 214/1057 [=====>........................] - ETA: 1:57 - loss: 271.4357 - logits_profile_predictions_loss: 266.5526 - logcount_predictions_loss: 0.4564 215/1057 [=====>........................] - ETA: 1:57 - loss: 271.4395 - 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logits_profile_predictions_loss: 267.8321 - logcount_predictions_loss: 0.3480 75/1057 [=>............................] - ETA: 2:16 - loss: 271.5025 - logits_profile_predictions_loss: 267.7782 - logcount_predictions_loss: 0.3481 76/1057 [=>............................] - ETA: 2:16 - loss: 271.4530 - logits_profile_predictions_loss: 267.7279 - logcount_predictions_loss: 0.3481 77/1057 [=>............................] - ETA: 2:16 - loss: 271.4091 - logits_profile_predictions_loss: 267.6832 - logcount_predictions_loss: 0.3482 78/1057 [=>............................] - ETA: 2:16 - loss: 271.3647 - logits_profile_predictions_loss: 267.6381 - logcount_predictions_loss: 0.3483 79/1057 [=>............................] - ETA: 2:15 - loss: 271.3207 - logits_profile_predictions_loss: 267.5935 - logcount_predictions_loss: 0.3483 80/1057 [=>............................] - ETA: 2:15 - loss: 271.2764 - logits_profile_predictions_loss: 267.5483 - logcount_predictions_loss: 0.3484 81/1057 [=>............................] - ETA: 2:15 - loss: 271.2304 - logits_profile_predictions_loss: 267.5015 - logcount_predictions_loss: 0.3485 82/1057 [=>............................] - ETA: 2:15 - loss: 271.1795 - logits_profile_predictions_loss: 267.4500 - logcount_predictions_loss: 0.3486 83/1057 [=>............................] - ETA: 2:15 - loss: 271.1324 - logits_profile_predictions_loss: 267.4023 - logcount_predictions_loss: 0.3486 84/1057 [=>............................] - ETA: 2:15 - loss: 271.0911 - logits_profile_predictions_loss: 267.3604 - logcount_predictions_loss: 0.3487 85/1057 [=>............................] - ETA: 2:15 - loss: 271.0465 - logits_profile_predictions_loss: 267.3151 - logcount_predictions_loss: 0.3487 86/1057 [=>............................] - ETA: 2:14 - loss: 271.0046 - logits_profile_predictions_loss: 267.2723 - logcount_predictions_loss: 0.3488 87/1057 [=>............................] - ETA: 2:14 - loss: 270.9649 - logits_profile_predictions_loss: 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loss: 270.7076 - logits_profile_predictions_loss: 266.9703 - logcount_predictions_loss: 0.3493 95/1057 [=>............................] - ETA: 2:13 - loss: 270.6712 - logits_profile_predictions_loss: 266.9335 - logcount_predictions_loss: 0.3493 96/1057 [=>............................] - ETA: 2:13 - loss: 270.6325 - logits_profile_predictions_loss: 266.8945 - logcount_predictions_loss: 0.3493 97/1057 [=>............................] - ETA: 2:13 - loss: 270.5970 - logits_profile_predictions_loss: 266.8587 - logcount_predictions_loss: 0.3494 98/1057 [=>............................] - ETA: 2:13 - loss: 270.5637 - logits_profile_predictions_loss: 266.8250 - logcount_predictions_loss: 0.3494 99/1057 [=>............................] - ETA: 2:13 - loss: 270.5334 - logits_profile_predictions_loss: 266.7944 - logcount_predictions_loss: 0.3495 100/1057 [=>............................] - ETA: 2:12 - loss: 270.5037 - logits_profile_predictions_loss: 266.7641 - logcount_predictions_loss: 0.3495 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logits_profile_predictions_loss: 266.5850 - logcount_predictions_loss: 0.3501 108/1057 [==>...........................] - ETA: 2:11 - loss: 270.3109 - logits_profile_predictions_loss: 266.5643 - logcount_predictions_loss: 0.3502 109/1057 [==>...........................] - ETA: 2:11 - loss: 270.2888 - logits_profile_predictions_loss: 266.5411 - logcount_predictions_loss: 0.3502 110/1057 [==>...........................] - ETA: 2:11 - loss: 270.2678 - logits_profile_predictions_loss: 266.5190 - logcount_predictions_loss: 0.3504 111/1057 [==>...........................] - ETA: 2:11 - loss: 270.2458 - logits_profile_predictions_loss: 266.4959 - logcount_predictions_loss: 0.3505 112/1057 [==>...........................] - ETA: 2:11 - loss: 270.2237 - logits_profile_predictions_loss: 266.4728 - logcount_predictions_loss: 0.3506 113/1057 [==>...........................] - ETA: 2:11 - loss: 270.2028 - logits_profile_predictions_loss: 266.4508 - logcount_predictions_loss: 0.3507 114/1057 [==>...........................] - ETA: 2:10 - loss: 270.1821 - logits_profile_predictions_loss: 266.4291 - logcount_predictions_loss: 0.3508 115/1057 [==>...........................] - ETA: 2:10 - loss: 270.1589 - logits_profile_predictions_loss: 266.4049 - logcount_predictions_loss: 0.3508 116/1057 [==>...........................] - ETA: 2:10 - loss: 270.1359 - logits_profile_predictions_loss: 266.3809 - logcount_predictions_loss: 0.3509 117/1057 [==>...........................] - ETA: 2:10 - loss: 270.1115 - logits_profile_predictions_loss: 266.3555 - logcount_predictions_loss: 0.3510 118/1057 [==>...........................] - ETA: 2:10 - loss: 270.0873 - logits_profile_predictions_loss: 266.3303 - logcount_predictions_loss: 0.3511 119/1057 [==>...........................] - ETA: 2:10 - loss: 270.0644 - logits_profile_predictions_loss: 266.3061 - logcount_predictions_loss: 0.3512 120/1057 [==>...........................] - ETA: 2:10 - loss: 270.0414 - logits_profile_predictions_loss: 266.2820 - logcount_predictions_loss: 0.3513 121/1057 [==>...........................] - ETA: 2:10 - loss: 270.0175 - logits_profile_predictions_loss: 266.2570 - logcount_predictions_loss: 0.3515 122/1057 [==>...........................] - ETA: 2:09 - loss: 269.9941 - logits_profile_predictions_loss: 266.2324 - logcount_predictions_loss: 0.3516 123/1057 [==>...........................] - ETA: 2:09 - loss: 269.9712 - logits_profile_predictions_loss: 266.2083 - logcount_predictions_loss: 0.3517 124/1057 [==>...........................] - ETA: 2:09 - loss: 269.9486 - logits_profile_predictions_loss: 266.1846 - logcount_predictions_loss: 0.3518 125/1057 [==>...........................] - ETA: 2:09 - loss: 269.9266 - logits_profile_predictions_loss: 266.1614 - logcount_predictions_loss: 0.3519 126/1057 [==>...........................] - ETA: 2:09 - loss: 269.9069 - logits_profile_predictions_loss: 266.1404 - logcount_predictions_loss: 0.3520 127/1057 [==>...........................] - ETA: 2:09 - loss: 269.8859 - logits_profile_predictions_loss: 266.1182 - logcount_predictions_loss: 0.3521 128/1057 [==>...........................] - ETA: 2:09 - loss: 269.8652 - logits_profile_predictions_loss: 266.0964 - logcount_predictions_loss: 0.3522 129/1057 [==>...........................] - ETA: 2:08 - loss: 269.8446 - logits_profile_predictions_loss: 266.0745 - logcount_predictions_loss: 0.3524 130/1057 [==>...........................] - ETA: 2:08 - loss: 269.8251 - logits_profile_predictions_loss: 266.0537 - logcount_predictions_loss: 0.3525 131/1057 [==>...........................] - ETA: 2:08 - loss: 269.8065 - logits_profile_predictions_loss: 266.0339 - logcount_predictions_loss: 0.3526 132/1057 [==>...........................] - ETA: 2:08 - loss: 269.7885 - logits_profile_predictions_loss: 266.0148 - logcount_predictions_loss: 0.3527 133/1057 [==>...........................] - ETA: 2:08 - loss: 269.7712 - logits_profile_predictions_loss: 265.9964 - logcount_predictions_loss: 0.3528 134/1057 [==>...........................] - ETA: 2:08 - loss: 269.7560 - logits_profile_predictions_loss: 265.9800 - logcount_predictions_loss: 0.3529 135/1057 [==>...........................] - ETA: 2:08 - loss: 269.7415 - logits_profile_predictions_loss: 265.9646 - logcount_predictions_loss: 0.3530 136/1057 [==>...........................] - ETA: 2:07 - loss: 269.7282 - logits_profile_predictions_loss: 265.9502 - logcount_predictions_loss: 0.3531 137/1057 [==>...........................] - ETA: 2:07 - loss: 269.7149 - logits_profile_predictions_loss: 265.9358 - logcount_predictions_loss: 0.3532 138/1057 [==>...........................] - ETA: 2:07 - loss: 269.7041 - logits_profile_predictions_loss: 265.9240 - logcount_predictions_loss: 0.3533 139/1057 [==>...........................] - ETA: 2:07 - loss: 269.6916 - logits_profile_predictions_loss: 265.9106 - logcount_predictions_loss: 0.3534 140/1057 [==>...........................] - ETA: 2:07 - loss: 269.6791 - logits_profile_predictions_loss: 265.8971 - logcount_predictions_loss: 0.3535 141/1057 [===>..........................] - ETA: 2:07 - loss: 269.6692 - logits_profile_predictions_loss: 265.8864 - logcount_predictions_loss: 0.3535 142/1057 [===>..........................] - ETA: 2:07 - loss: 269.6594 - logits_profile_predictions_loss: 265.8757 - logcount_predictions_loss: 0.3536 143/1057 [===>..........................] - ETA: 2:06 - loss: 269.6514 - logits_profile_predictions_loss: 265.8669 - logcount_predictions_loss: 0.3537 144/1057 [===>..........................] - ETA: 2:06 - loss: 269.6431 - logits_profile_predictions_loss: 265.8577 - logcount_predictions_loss: 0.3538 145/1057 [===>..........................] - ETA: 2:06 - loss: 269.6349 - logits_profile_predictions_loss: 265.8487 - logcount_predictions_loss: 0.3539 146/1057 [===>..........................] - ETA: 2:06 - loss: 269.6258 - logits_profile_predictions_loss: 265.8388 - logcount_predictions_loss: 0.3539 147/1057 [===>..........................] - ETA: 2:06 - loss: 269.6157 - logits_profile_predictions_loss: 265.8279 - logcount_predictions_loss: 0.3540 148/1057 [===>..........................] - ETA: 2:06 - loss: 269.6067 - logits_profile_predictions_loss: 265.8181 - logcount_predictions_loss: 0.3541 149/1057 [===>..........................] - ETA: 2:06 - loss: 269.5987 - logits_profile_predictions_loss: 265.8093 - logcount_predictions_loss: 0.3542 150/1057 [===>..........................] - ETA: 2:06 - loss: 269.5900 - logits_profile_predictions_loss: 265.7999 - logcount_predictions_loss: 0.3542 151/1057 [===>..........................] - ETA: 2:05 - loss: 269.5826 - logits_profile_predictions_loss: 265.7917 - logcount_predictions_loss: 0.3543 152/1057 [===>..........................] - ETA: 2:05 - loss: 269.5748 - logits_profile_predictions_loss: 265.7832 - logcount_predictions_loss: 0.3544 153/1057 [===>..........................] - ETA: 2:05 - loss: 269.5665 - logits_profile_predictions_loss: 265.7741 - logcount_predictions_loss: 0.3544 154/1057 [===>..........................] - ETA: 2:05 - loss: 269.5584 - logits_profile_predictions_loss: 265.7651 - logcount_predictions_loss: 0.3545 155/1057 [===>..........................] - ETA: 2:05 - loss: 269.5497 - logits_profile_predictions_loss: 265.7555 - logcount_predictions_loss: 0.3546 156/1057 [===>..........................] - ETA: 2:05 - loss: 269.5414 - logits_profile_predictions_loss: 265.7463 - logcount_predictions_loss: 0.3547 157/1057 [===>..........................] - ETA: 2:05 - loss: 269.5327 - logits_profile_predictions_loss: 265.7368 - logcount_predictions_loss: 0.3548 158/1057 [===>..........................] - ETA: 2:04 - loss: 269.5255 - logits_profile_predictions_loss: 265.7287 - logcount_predictions_loss: 0.3548 159/1057 [===>..........................] - ETA: 2:04 - loss: 269.5186 - 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logits_profile_predictions_loss: 265.6060 - logcount_predictions_loss: 0.3559 173/1057 [===>..........................] - ETA: 2:02 - loss: 269.4051 - logits_profile_predictions_loss: 265.5966 - logcount_predictions_loss: 0.3559 174/1057 [===>..........................] - ETA: 2:02 - loss: 269.3974 - logits_profile_predictions_loss: 265.5883 - logcount_predictions_loss: 0.3560 175/1057 [===>..........................] - ETA: 2:02 - loss: 269.3902 - logits_profile_predictions_loss: 265.5803 - logcount_predictions_loss: 0.3561 176/1057 [===>..........................] - ETA: 2:02 - loss: 269.3834 - logits_profile_predictions_loss: 265.5727 - logcount_predictions_loss: 0.3561 177/1057 [====>.........................] - ETA: 2:02 - loss: 269.3758 - logits_profile_predictions_loss: 265.5644 - logcount_predictions_loss: 0.3562 178/1057 [====>.........................] - ETA: 2:02 - loss: 269.3689 - logits_profile_predictions_loss: 265.5567 - logcount_predictions_loss: 0.3563 179/1057 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[====>.........................] - ETA: 1:58 - loss: 269.2392 - logits_profile_predictions_loss: 265.4067 - logcount_predictions_loss: 0.3582 206/1057 [====>.........................] - ETA: 1:58 - loss: 269.2358 - logits_profile_predictions_loss: 265.4025 - logcount_predictions_loss: 0.3583 207/1057 [====>.........................] - ETA: 1:58 - loss: 269.2324 - logits_profile_predictions_loss: 265.3985 - logcount_predictions_loss: 0.3583 208/1057 [====>.........................] - ETA: 1:57 - loss: 269.2295 - logits_profile_predictions_loss: 265.3949 - logcount_predictions_loss: 0.3584 209/1057 [====>.........................] - ETA: 1:57 - loss: 269.2267 - logits_profile_predictions_loss: 265.3914 - logcount_predictions_loss: 0.3584 210/1057 [====>.........................] - ETA: 1:57 - loss: 269.2232 - logits_profile_predictions_loss: 265.3872 - logcount_predictions_loss: 0.3585 211/1057 [====>.........................] - ETA: 1:57 - loss: 269.2196 - 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[=====>........................] - ETA: 1:56 - loss: 269.1949 - logits_profile_predictions_loss: 265.3537 - logcount_predictions_loss: 0.3590 219/1057 [=====>........................] - ETA: 1:56 - loss: 269.1913 - logits_profile_predictions_loss: 265.3494 - logcount_predictions_loss: 0.3591 220/1057 [=====>........................] - ETA: 1:56 - loss: 269.1875 - logits_profile_predictions_loss: 265.3450 - logcount_predictions_loss: 0.3591 221/1057 [=====>........................] - ETA: 1:56 - loss: 269.1833 - logits_profile_predictions_loss: 265.3402 - logcount_predictions_loss: 0.3592 222/1057 [=====>........................] - ETA: 1:56 - loss: 269.1792 - logits_profile_predictions_loss: 265.3354 - logcount_predictions_loss: 0.3592 223/1057 [=====>........................] - ETA: 1:55 - loss: 269.1754 - logits_profile_predictions_loss: 265.3310 - logcount_predictions_loss: 0.3593 224/1057 [=====>........................] - ETA: 1:55 - loss: 269.1711 - 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[=====>........................] - ETA: 1:54 - loss: 269.1426 - logits_profile_predictions_loss: 265.2934 - logcount_predictions_loss: 0.3597 232/1057 [=====>........................] - ETA: 1:54 - loss: 269.1391 - logits_profile_predictions_loss: 265.2893 - logcount_predictions_loss: 0.3598 233/1057 [=====>........................] - ETA: 1:54 - loss: 269.1367 - logits_profile_predictions_loss: 265.2862 - logcount_predictions_loss: 0.3599 234/1057 [=====>........................] - ETA: 1:54 - loss: 269.1342 - logits_profile_predictions_loss: 265.2832 - logcount_predictions_loss: 0.3599 235/1057 [=====>........................] - ETA: 1:54 - loss: 269.1318 - logits_profile_predictions_loss: 265.2802 - logcount_predictions_loss: 0.3600 236/1057 [=====>........................] - ETA: 1:54 - loss: 269.1295 - logits_profile_predictions_loss: 265.2773 - logcount_predictions_loss: 0.3600 237/1057 [=====>........................] - ETA: 1:53 - loss: 269.1276 - 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[=====>........................] - ETA: 1:52 - loss: 269.1144 - logits_profile_predictions_loss: 265.2575 - logcount_predictions_loss: 0.3605 245/1057 [=====>........................] - ETA: 1:52 - loss: 269.1132 - logits_profile_predictions_loss: 265.2557 - logcount_predictions_loss: 0.3605 246/1057 [=====>........................] - ETA: 1:52 - loss: 269.1116 - logits_profile_predictions_loss: 265.2535 - logcount_predictions_loss: 0.3606 247/1057 [======>.......................] - ETA: 1:52 - loss: 269.1100 - logits_profile_predictions_loss: 265.2513 - logcount_predictions_loss: 0.3606 248/1057 [======>.......................] - ETA: 1:52 - loss: 269.1078 - logits_profile_predictions_loss: 265.2486 - logcount_predictions_loss: 0.3607 249/1057 [======>.......................] - ETA: 1:52 - loss: 269.1060 - logits_profile_predictions_loss: 265.2461 - logcount_predictions_loss: 0.3607 250/1057 [======>.......................] - ETA: 1:52 - loss: 269.1041 - 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[======>.......................] - ETA: 1:51 - loss: 269.0911 - logits_profile_predictions_loss: 265.2266 - logcount_predictions_loss: 0.3612 258/1057 [======>.......................] - ETA: 1:50 - loss: 269.0894 - logits_profile_predictions_loss: 265.2244 - logcount_predictions_loss: 0.3612 259/1057 [======>.......................] - ETA: 1:50 - loss: 269.0875 - logits_profile_predictions_loss: 265.2219 - logcount_predictions_loss: 0.3613 260/1057 [======>.......................] - ETA: 1:50 - loss: 269.0859 - logits_profile_predictions_loss: 265.2197 - logcount_predictions_loss: 0.3613 261/1057 [======>.......................] - ETA: 1:50 - loss: 269.0845 - logits_profile_predictions_loss: 265.2178 - logcount_predictions_loss: 0.3614 262/1057 [======>.......................] - ETA: 1:50 - loss: 269.0832 - logits_profile_predictions_loss: 265.2159 - logcount_predictions_loss: 0.3614 263/1057 [======>.......................] - ETA: 1:50 - loss: 269.0816 - 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[=======>......................] - ETA: 1:47 - loss: 269.0462 - logits_profile_predictions_loss: 265.1685 - logcount_predictions_loss: 0.3624 284/1057 [=======>......................] - ETA: 1:47 - loss: 269.0444 - logits_profile_predictions_loss: 265.1662 - logcount_predictions_loss: 0.3624 285/1057 [=======>......................] - ETA: 1:47 - loss: 269.0427 - logits_profile_predictions_loss: 265.1640 - logcount_predictions_loss: 0.3625 286/1057 [=======>......................] - ETA: 1:47 - loss: 269.0409 - logits_profile_predictions_loss: 265.1618 - logcount_predictions_loss: 0.3625 287/1057 [=======>......................] - ETA: 1:46 - loss: 269.0391 - logits_profile_predictions_loss: 265.1595 - logcount_predictions_loss: 0.3626 288/1057 [=======>......................] - ETA: 1:46 - loss: 269.0374 - logits_profile_predictions_loss: 265.1574 - logcount_predictions_loss: 0.3626 289/1057 [=======>......................] - ETA: 1:46 - loss: 269.0355 - 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1057/1057 [==============================] - 156s 147ms/step - loss: 268.4928 - logits_profile_predictions_loss: 264.5374 - logcount_predictions_loss: 0.3697 - val_loss: 292.4436 - val_logits_profile_predictions_loss: 288.8379 - val_logcount_predictions_loss: 0.3370 + +Epoch 00003: val_loss improved from 294.01135 to 292.44363, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/chrombpnet.h5 +Epoch 4/50 + 1/1057 [..............................] - ETA: 2:42 - loss: 271.8925 - logits_profile_predictions_loss: 268.3256 - logcount_predictions_loss: 0.3334 2/1057 [..............................] - ETA: 2:28 - loss: 270.5789 - logits_profile_predictions_loss: 266.8632 - logcount_predictions_loss: 0.3473 3/1057 [..............................] - ETA: 2:27 - loss: 271.5110 - logits_profile_predictions_loss: 267.8598 - logcount_predictions_loss: 0.3412 4/1057 [..............................] - ETA: 2:26 - loss: 271.7882 - logits_profile_predictions_loss: 268.1187 - logcount_predictions_loss: 0.3429 5/1057 [..............................] - ETA: 2:26 - loss: 271.9903 - logits_profile_predictions_loss: 268.3146 - logcount_predictions_loss: 0.3435 6/1057 [..............................] - ETA: 2:26 - loss: 271.8289 - logits_profile_predictions_loss: 268.1539 - logcount_predictions_loss: 0.3435 7/1057 [..............................] - ETA: 2:25 - loss: 271.6506 - logits_profile_predictions_loss: 267.9771 - logcount_predictions_loss: 0.3433 8/1057 [..............................] - ETA: 2:25 - loss: 271.2959 - logits_profile_predictions_loss: 267.6239 - logcount_predictions_loss: 0.3432 9/1057 [..............................] - ETA: 2:25 - loss: 271.3630 - logits_profile_predictions_loss: 267.7000 - logcount_predictions_loss: 0.3423 10/1057 [..............................] - ETA: 2:25 - loss: 271.3553 - logits_profile_predictions_loss: 267.6940 - logcount_predictions_loss: 0.3422 11/1057 [..............................] - ETA: 2:25 - loss: 271.4884 - logits_profile_predictions_loss: 267.8245 - logcount_predictions_loss: 0.3424 12/1057 [..............................] - ETA: 2:25 - loss: 271.5788 - logits_profile_predictions_loss: 267.9068 - logcount_predictions_loss: 0.3432 13/1057 [..............................] - ETA: 2:24 - loss: 271.6612 - logits_profile_predictions_loss: 267.9832 - logcount_predictions_loss: 0.3437 14/1057 [..............................] - ETA: 2:24 - loss: 271.5306 - logits_profile_predictions_loss: 267.8535 - logcount_predictions_loss: 0.3437 15/1057 [..............................] - ETA: 2:24 - loss: 271.4922 - logits_profile_predictions_loss: 267.8152 - logcount_predictions_loss: 0.3436 16/1057 [..............................] - ETA: 2:24 - loss: 271.4496 - logits_profile_predictions_loss: 267.7746 - logcount_predictions_loss: 0.3435 17/1057 [..............................] - ETA: 2:24 - loss: 271.3751 - logits_profile_predictions_loss: 267.6999 - logcount_predictions_loss: 0.3435 18/1057 [..............................] - ETA: 2:24 - loss: 271.2356 - logits_profile_predictions_loss: 267.5602 - logcount_predictions_loss: 0.3435 19/1057 [..............................] - ETA: 2:24 - loss: 271.1143 - logits_profile_predictions_loss: 267.4352 - logcount_predictions_loss: 0.3438 20/1057 [..............................] - ETA: 2:24 - loss: 271.0219 - logits_profile_predictions_loss: 267.3394 - logcount_predictions_loss: 0.3442 21/1057 [..............................] - ETA: 2:23 - loss: 270.9771 - logits_profile_predictions_loss: 267.2912 - logcount_predictions_loss: 0.3445 22/1057 [..............................] - ETA: 2:23 - loss: 270.9711 - logits_profile_predictions_loss: 267.2813 - logcount_predictions_loss: 0.3448 23/1057 [..............................] - ETA: 2:23 - loss: 270.9033 - logits_profile_predictions_loss: 267.2087 - logcount_predictions_loss: 0.3453 24/1057 [..............................] - ETA: 2:23 - loss: 270.8085 - logits_profile_predictions_loss: 267.1091 - logcount_predictions_loss: 0.3457 25/1057 [..............................] - ETA: 2:23 - loss: 270.7628 - logits_profile_predictions_loss: 267.0581 - logcount_predictions_loss: 0.3462 26/1057 [..............................] - ETA: 2:23 - loss: 270.7152 - logits_profile_predictions_loss: 267.0042 - logcount_predictions_loss: 0.3468 27/1057 [..............................] - ETA: 2:23 - loss: 270.6772 - logits_profile_predictions_loss: 266.9612 - logcount_predictions_loss: 0.3473 28/1057 [..............................] - ETA: 2:22 - loss: 270.6521 - logits_profile_predictions_loss: 266.9324 - logcount_predictions_loss: 0.3476 29/1057 [..............................] - ETA: 2:22 - loss: 270.6230 - logits_profile_predictions_loss: 266.8993 - logcount_predictions_loss: 0.3480 30/1057 [..............................] - ETA: 2:22 - loss: 270.5753 - logits_profile_predictions_loss: 266.8489 - logcount_predictions_loss: 0.3483 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logits_profile_predictions_loss: 264.9824 - logcount_predictions_loss: 0.3525 71/1057 [=>............................] - ETA: 2:16 - loss: 268.7345 - logits_profile_predictions_loss: 264.9615 - logcount_predictions_loss: 0.3526 72/1057 [=>............................] - ETA: 2:16 - loss: 268.7164 - logits_profile_predictions_loss: 264.9426 - logcount_predictions_loss: 0.3527 73/1057 [=>............................] - ETA: 2:16 - loss: 268.7005 - logits_profile_predictions_loss: 264.9259 - logcount_predictions_loss: 0.3528 74/1057 [=>............................] - ETA: 2:16 - loss: 268.6876 - logits_profile_predictions_loss: 264.9122 - logcount_predictions_loss: 0.3528 75/1057 [=>............................] - ETA: 2:16 - loss: 268.6727 - logits_profile_predictions_loss: 264.8963 - logcount_predictions_loss: 0.3529 76/1057 [=>............................] - ETA: 2:16 - loss: 268.6552 - logits_profile_predictions_loss: 264.8779 - logcount_predictions_loss: 0.3530 77/1057 [=>............................] - ETA: 2:16 - loss: 268.6342 - logits_profile_predictions_loss: 264.8563 - logcount_predictions_loss: 0.3531 78/1057 [=>............................] - ETA: 2:16 - loss: 268.6158 - logits_profile_predictions_loss: 264.8371 - logcount_predictions_loss: 0.3532 79/1057 [=>............................] - ETA: 2:15 - loss: 268.5948 - logits_profile_predictions_loss: 264.8151 - logcount_predictions_loss: 0.3532 80/1057 [=>............................] - ETA: 2:15 - loss: 268.5738 - logits_profile_predictions_loss: 264.7932 - logcount_predictions_loss: 0.3533 81/1057 [=>............................] - ETA: 2:15 - loss: 268.5574 - logits_profile_predictions_loss: 264.7760 - logcount_predictions_loss: 0.3534 82/1057 [=>............................] - ETA: 2:15 - loss: 268.5466 - logits_profile_predictions_loss: 264.7643 - logcount_predictions_loss: 0.3535 83/1057 [=>............................] - ETA: 2:15 - loss: 268.5358 - logits_profile_predictions_loss: 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[==>...........................] - ETA: 2:08 - loss: 268.2312 - logits_profile_predictions_loss: 264.4380 - logcount_predictions_loss: 0.3545 137/1057 [==>...........................] - ETA: 2:07 - loss: 268.2333 - logits_profile_predictions_loss: 264.4402 - logcount_predictions_loss: 0.3545 138/1057 [==>...........................] - ETA: 2:07 - loss: 268.2351 - logits_profile_predictions_loss: 264.4421 - logcount_predictions_loss: 0.3545 139/1057 [==>...........................] - ETA: 2:07 - loss: 268.2367 - logits_profile_predictions_loss: 264.4438 - logcount_predictions_loss: 0.3545 140/1057 [==>...........................] - ETA: 2:07 - loss: 268.2389 - logits_profile_predictions_loss: 264.4461 - logcount_predictions_loss: 0.3545 141/1057 [===>..........................] - ETA: 2:07 - loss: 268.2423 - logits_profile_predictions_loss: 264.4495 - logcount_predictions_loss: 0.3545 142/1057 [===>..........................] - ETA: 2:07 - loss: 268.2442 - logits_profile_predictions_loss: 264.4515 - logcount_predictions_loss: 0.3544 143/1057 [===>..........................] - ETA: 2:07 - loss: 268.2466 - logits_profile_predictions_loss: 264.4540 - logcount_predictions_loss: 0.3544 144/1057 [===>..........................] - ETA: 2:06 - loss: 268.2507 - logits_profile_predictions_loss: 264.4583 - logcount_predictions_loss: 0.3544 145/1057 [===>..........................] - ETA: 2:06 - loss: 268.2547 - logits_profile_predictions_loss: 264.4624 - logcount_predictions_loss: 0.3544 146/1057 [===>..........................] - ETA: 2:06 - loss: 268.2590 - logits_profile_predictions_loss: 264.4668 - logcount_predictions_loss: 0.3544 147/1057 [===>..........................] - ETA: 2:06 - loss: 268.2630 - logits_profile_predictions_loss: 264.4708 - logcount_predictions_loss: 0.3544 148/1057 [===>..........................] - ETA: 2:06 - loss: 268.2673 - logits_profile_predictions_loss: 264.4752 - logcount_predictions_loss: 0.3544 149/1057 [===>..........................] - ETA: 2:06 - loss: 268.2711 - logits_profile_predictions_loss: 264.4791 - logcount_predictions_loss: 0.3544 150/1057 [===>..........................] - ETA: 2:06 - loss: 268.2765 - logits_profile_predictions_loss: 264.4847 - logcount_predictions_loss: 0.3544 151/1057 [===>..........................] - ETA: 2:05 - loss: 268.2823 - logits_profile_predictions_loss: 264.4907 - logcount_predictions_loss: 0.3543 152/1057 [===>..........................] - ETA: 2:05 - loss: 268.2866 - logits_profile_predictions_loss: 264.4953 - logcount_predictions_loss: 0.3543 153/1057 [===>..........................] - ETA: 2:05 - loss: 268.2925 - logits_profile_predictions_loss: 264.5014 - logcount_predictions_loss: 0.3543 154/1057 [===>..........................] - ETA: 2:05 - loss: 268.2973 - logits_profile_predictions_loss: 264.5064 - logcount_predictions_loss: 0.3543 155/1057 [===>..........................] - ETA: 2:05 - loss: 268.3014 - logits_profile_predictions_loss: 264.5109 - logcount_predictions_loss: 0.3543 156/1057 [===>..........................] - ETA: 2:05 - loss: 268.3058 - logits_profile_predictions_loss: 264.5156 - logcount_predictions_loss: 0.3542 157/1057 [===>..........................] - ETA: 2:05 - loss: 268.3108 - logits_profile_predictions_loss: 264.5208 - logcount_predictions_loss: 0.3542 158/1057 [===>..........................] - ETA: 2:04 - loss: 268.3160 - logits_profile_predictions_loss: 264.5263 - logcount_predictions_loss: 0.3542 159/1057 [===>..........................] - ETA: 2:04 - loss: 268.3201 - logits_profile_predictions_loss: 264.5307 - logcount_predictions_loss: 0.3541 160/1057 [===>..........................] - ETA: 2:04 - loss: 268.3235 - logits_profile_predictions_loss: 264.5344 - logcount_predictions_loss: 0.3541 161/1057 [===>..........................] - ETA: 2:04 - loss: 268.3281 - logits_profile_predictions_loss: 264.5393 - logcount_predictions_loss: 0.3541 162/1057 [===>..........................] - ETA: 2:04 - loss: 268.3332 - logits_profile_predictions_loss: 264.5447 - logcount_predictions_loss: 0.3541 163/1057 [===>..........................] - ETA: 2:04 - loss: 268.3398 - logits_profile_predictions_loss: 264.5516 - logcount_predictions_loss: 0.3540 164/1057 [===>..........................] - ETA: 2:04 - loss: 268.3474 - logits_profile_predictions_loss: 264.5595 - logcount_predictions_loss: 0.3540 165/1057 [===>..........................] - ETA: 2:03 - loss: 268.3548 - logits_profile_predictions_loss: 264.5672 - logcount_predictions_loss: 0.3540 166/1057 [===>..........................] - ETA: 2:03 - loss: 268.3620 - logits_profile_predictions_loss: 264.5747 - logcount_predictions_loss: 0.3539 167/1057 [===>..........................] - ETA: 2:03 - loss: 268.3684 - logits_profile_predictions_loss: 264.5814 - logcount_predictions_loss: 0.3539 168/1057 [===>..........................] - ETA: 2:03 - loss: 268.3745 - 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[===>..........................] - ETA: 2:02 - loss: 268.4124 - logits_profile_predictions_loss: 264.6278 - logcount_predictions_loss: 0.3537 176/1057 [===>..........................] - ETA: 2:02 - loss: 268.4168 - logits_profile_predictions_loss: 264.6324 - logcount_predictions_loss: 0.3537 177/1057 [====>.........................] - ETA: 2:02 - loss: 268.4205 - logits_profile_predictions_loss: 264.6364 - logcount_predictions_loss: 0.3536 178/1057 [====>.........................] - ETA: 2:02 - loss: 268.4245 - logits_profile_predictions_loss: 264.6407 - logcount_predictions_loss: 0.3536 179/1057 [====>.........................] - ETA: 2:02 - loss: 268.4277 - logits_profile_predictions_loss: 264.6442 - logcount_predictions_loss: 0.3536 180/1057 [====>.........................] - ETA: 2:01 - loss: 268.4321 - logits_profile_predictions_loss: 264.6489 - logcount_predictions_loss: 0.3536 181/1057 [====>.........................] - ETA: 2:01 - loss: 268.4363 - 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[====>.........................] - ETA: 2:00 - loss: 268.4628 - logits_profile_predictions_loss: 264.6817 - logcount_predictions_loss: 0.3534 189/1057 [====>.........................] - ETA: 2:00 - loss: 268.4665 - logits_profile_predictions_loss: 264.6856 - logcount_predictions_loss: 0.3533 190/1057 [====>.........................] - ETA: 2:00 - loss: 268.4704 - logits_profile_predictions_loss: 264.6898 - logcount_predictions_loss: 0.3533 191/1057 [====>.........................] - ETA: 2:00 - loss: 268.4739 - logits_profile_predictions_loss: 264.6935 - logcount_predictions_loss: 0.3533 192/1057 [====>.........................] - ETA: 2:00 - loss: 268.4771 - logits_profile_predictions_loss: 264.6970 - logcount_predictions_loss: 0.3533 193/1057 [====>.........................] - ETA: 2:00 - loss: 268.4803 - logits_profile_predictions_loss: 264.7005 - logcount_predictions_loss: 0.3532 194/1057 [====>.........................] - ETA: 1:59 - loss: 268.4834 - 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[====>.........................] - ETA: 1:58 - loss: 268.5041 - logits_profile_predictions_loss: 264.7265 - logcount_predictions_loss: 0.3530 202/1057 [====>.........................] - ETA: 1:58 - loss: 268.5079 - logits_profile_predictions_loss: 264.7306 - logcount_predictions_loss: 0.3530 203/1057 [====>.........................] - ETA: 1:58 - loss: 268.5111 - logits_profile_predictions_loss: 264.7340 - logcount_predictions_loss: 0.3530 204/1057 [====>.........................] - ETA: 1:58 - loss: 268.5140 - logits_profile_predictions_loss: 264.7372 - logcount_predictions_loss: 0.3530 205/1057 [====>.........................] - ETA: 1:58 - loss: 268.5173 - logits_profile_predictions_loss: 264.7408 - logcount_predictions_loss: 0.3529 206/1057 [====>.........................] - ETA: 1:58 - loss: 268.5207 - logits_profile_predictions_loss: 264.7444 - logcount_predictions_loss: 0.3529 207/1057 [====>.........................] - ETA: 1:58 - loss: 268.5236 - 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[=====>........................] - ETA: 1:57 - loss: 268.5372 - logits_profile_predictions_loss: 264.7631 - logcount_predictions_loss: 0.3527 215/1057 [=====>........................] - ETA: 1:57 - loss: 268.5379 - logits_profile_predictions_loss: 264.7640 - logcount_predictions_loss: 0.3527 216/1057 [=====>........................] - ETA: 1:56 - loss: 268.5386 - logits_profile_predictions_loss: 264.7650 - logcount_predictions_loss: 0.3527 217/1057 [=====>........................] - ETA: 1:56 - loss: 268.5396 - logits_profile_predictions_loss: 264.7663 - logcount_predictions_loss: 0.3526 218/1057 [=====>........................] - ETA: 1:56 - loss: 268.5411 - logits_profile_predictions_loss: 264.7681 - logcount_predictions_loss: 0.3526 219/1057 [=====>........................] - ETA: 1:56 - loss: 268.5426 - logits_profile_predictions_loss: 264.7698 - logcount_predictions_loss: 0.3526 220/1057 [=====>........................] - ETA: 1:56 - loss: 268.5445 - logits_profile_predictions_loss: 264.7720 - logcount_predictions_loss: 0.3526 221/1057 [=====>........................] - ETA: 1:56 - loss: 268.5463 - logits_profile_predictions_loss: 264.7741 - logcount_predictions_loss: 0.3525 222/1057 [=====>........................] - ETA: 1:56 - loss: 268.5483 - logits_profile_predictions_loss: 264.7763 - logcount_predictions_loss: 0.3525 223/1057 [=====>........................] - ETA: 1:55 - loss: 268.5500 - logits_profile_predictions_loss: 264.7782 - logcount_predictions_loss: 0.3525 224/1057 [=====>........................] - ETA: 1:55 - loss: 268.5515 - logits_profile_predictions_loss: 264.7800 - logcount_predictions_loss: 0.3525 225/1057 [=====>........................] - ETA: 1:55 - loss: 268.5538 - logits_profile_predictions_loss: 264.7826 - logcount_predictions_loss: 0.3524 226/1057 [=====>........................] - ETA: 1:55 - loss: 268.5560 - logits_profile_predictions_loss: 264.7850 - logcount_predictions_loss: 0.3524 227/1057 [=====>........................] - ETA: 1:55 - loss: 268.5578 - logits_profile_predictions_loss: 264.7870 - logcount_predictions_loss: 0.3524 228/1057 [=====>........................] - ETA: 1:55 - loss: 268.5599 - logits_profile_predictions_loss: 264.7893 - logcount_predictions_loss: 0.3524 229/1057 [=====>........................] - ETA: 1:55 - loss: 268.5622 - logits_profile_predictions_loss: 264.7918 - logcount_predictions_loss: 0.3524 230/1057 [=====>........................] - ETA: 1:54 - loss: 268.5642 - logits_profile_predictions_loss: 264.7940 - logcount_predictions_loss: 0.3523 231/1057 [=====>........................] - ETA: 1:54 - loss: 268.5662 - logits_profile_predictions_loss: 264.7962 - logcount_predictions_loss: 0.3523 232/1057 [=====>........................] - ETA: 1:54 - loss: 268.5678 - logits_profile_predictions_loss: 264.7980 - logcount_predictions_loss: 0.3523 233/1057 [=====>........................] - ETA: 1:54 - loss: 268.5693 - 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loss: 268.3447 - logits_profile_predictions_loss: 264.6495 - logcount_predictions_loss: 0.3453 68/1057 [>.............................] - ETA: 2:17 - loss: 268.3120 - logits_profile_predictions_loss: 264.6154 - logcount_predictions_loss: 0.3455 69/1057 [>.............................] - ETA: 2:17 - loss: 268.2846 - logits_profile_predictions_loss: 264.5869 - logcount_predictions_loss: 0.3456 70/1057 [>.............................] - ETA: 2:17 - loss: 268.2524 - logits_profile_predictions_loss: 264.5537 - logcount_predictions_loss: 0.3457 71/1057 [=>............................] - ETA: 2:16 - loss: 268.2186 - logits_profile_predictions_loss: 264.5192 - logcount_predictions_loss: 0.3457 72/1057 [=>............................] - ETA: 2:16 - loss: 268.1842 - logits_profile_predictions_loss: 264.4842 - logcount_predictions_loss: 0.3458 73/1057 [=>............................] - ETA: 2:16 - loss: 268.1502 - logits_profile_predictions_loss: 264.4494 - logcount_predictions_loss: 0.3459 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logits_profile_predictions_loss: 264.2448 - logcount_predictions_loss: 0.3466 81/1057 [=>............................] - ETA: 2:15 - loss: 267.9228 - logits_profile_predictions_loss: 264.2133 - logcount_predictions_loss: 0.3467 82/1057 [=>............................] - ETA: 2:15 - loss: 267.8935 - logits_profile_predictions_loss: 264.1831 - logcount_predictions_loss: 0.3468 83/1057 [=>............................] - ETA: 2:15 - loss: 267.8636 - logits_profile_predictions_loss: 264.1526 - logcount_predictions_loss: 0.3468 84/1057 [=>............................] - ETA: 2:15 - loss: 267.8339 - logits_profile_predictions_loss: 264.1223 - logcount_predictions_loss: 0.3469 85/1057 [=>............................] - ETA: 2:15 - loss: 267.8087 - logits_profile_predictions_loss: 264.0964 - logcount_predictions_loss: 0.3469 86/1057 [=>............................] - ETA: 2:14 - loss: 267.7848 - logits_profile_predictions_loss: 264.0722 - logcount_predictions_loss: 0.3470 87/1057 [=>............................] - ETA: 2:14 - loss: 267.7621 - logits_profile_predictions_loss: 264.0492 - logcount_predictions_loss: 0.3470 88/1057 [=>............................] - ETA: 2:14 - loss: 267.7372 - logits_profile_predictions_loss: 264.0240 - logcount_predictions_loss: 0.3470 89/1057 [=>............................] - ETA: 2:14 - loss: 267.7137 - logits_profile_predictions_loss: 264.0002 - logcount_predictions_loss: 0.3471 90/1057 [=>............................] - ETA: 2:14 - loss: 267.6914 - logits_profile_predictions_loss: 263.9776 - logcount_predictions_loss: 0.3471 91/1057 [=>............................] - ETA: 2:14 - loss: 267.6679 - logits_profile_predictions_loss: 263.9539 - logcount_predictions_loss: 0.3471 92/1057 [=>............................] - ETA: 2:14 - loss: 267.6440 - logits_profile_predictions_loss: 263.9297 - logcount_predictions_loss: 0.3471 93/1057 [=>............................] - ETA: 2:13 - loss: 267.6192 - logits_profile_predictions_loss: 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107/1057 [==>...........................] - ETA: 2:11 - loss: 267.2560 - logits_profile_predictions_loss: 263.5410 - logcount_predictions_loss: 0.3472 108/1057 [==>...........................] - ETA: 2:11 - loss: 267.2322 - logits_profile_predictions_loss: 263.5171 - logcount_predictions_loss: 0.3472 109/1057 [==>...........................] - ETA: 2:11 - loss: 267.2074 - logits_profile_predictions_loss: 263.4923 - logcount_predictions_loss: 0.3472 110/1057 [==>...........................] - ETA: 2:11 - loss: 267.1824 - logits_profile_predictions_loss: 263.4672 - logcount_predictions_loss: 0.3472 111/1057 [==>...........................] - ETA: 2:11 - loss: 267.1582 - logits_profile_predictions_loss: 263.4428 - logcount_predictions_loss: 0.3472 112/1057 [==>...........................] - ETA: 2:11 - loss: 267.1327 - logits_profile_predictions_loss: 263.4173 - logcount_predictions_loss: 0.3472 113/1057 [==>...........................] - ETA: 2:11 - loss: 267.1094 - logits_profile_predictions_loss: 263.3938 - logcount_predictions_loss: 0.3472 114/1057 [==>...........................] - ETA: 2:10 - loss: 267.0873 - logits_profile_predictions_loss: 263.3716 - logcount_predictions_loss: 0.3473 115/1057 [==>...........................] - ETA: 2:10 - loss: 267.0677 - logits_profile_predictions_loss: 263.3518 - logcount_predictions_loss: 0.3473 116/1057 [==>...........................] - ETA: 2:10 - loss: 267.0490 - logits_profile_predictions_loss: 263.3330 - logcount_predictions_loss: 0.3473 117/1057 [==>...........................] - ETA: 2:10 - loss: 267.0308 - logits_profile_predictions_loss: 263.3146 - logcount_predictions_loss: 0.3473 118/1057 [==>...........................] - ETA: 2:10 - loss: 267.0118 - logits_profile_predictions_loss: 263.2953 - logcount_predictions_loss: 0.3473 119/1057 [==>...........................] - ETA: 2:10 - loss: 266.9954 - logits_profile_predictions_loss: 263.2786 - logcount_predictions_loss: 0.3474 120/1057 [==>...........................] - ETA: 2:10 - loss: 266.9810 - logits_profile_predictions_loss: 263.2639 - logcount_predictions_loss: 0.3474 121/1057 [==>...........................] - ETA: 2:10 - loss: 266.9671 - logits_profile_predictions_loss: 263.2497 - logcount_predictions_loss: 0.3474 122/1057 [==>...........................] - ETA: 2:09 - loss: 266.9517 - logits_profile_predictions_loss: 263.2339 - logcount_predictions_loss: 0.3475 123/1057 [==>...........................] - ETA: 2:09 - loss: 266.9377 - logits_profile_predictions_loss: 263.2195 - logcount_predictions_loss: 0.3475 124/1057 [==>...........................] - ETA: 2:09 - loss: 266.9226 - logits_profile_predictions_loss: 263.2041 - logcount_predictions_loss: 0.3475 125/1057 [==>...........................] - ETA: 2:09 - loss: 266.9088 - logits_profile_predictions_loss: 263.1898 - logcount_predictions_loss: 0.3476 126/1057 [==>...........................] - ETA: 2:09 - loss: 266.8954 - logits_profile_predictions_loss: 263.1761 - logcount_predictions_loss: 0.3476 127/1057 [==>...........................] - ETA: 2:09 - loss: 266.8814 - logits_profile_predictions_loss: 263.1617 - logcount_predictions_loss: 0.3476 128/1057 [==>...........................] - ETA: 2:09 - loss: 266.8680 - logits_profile_predictions_loss: 263.1480 - logcount_predictions_loss: 0.3477 129/1057 [==>...........................] - ETA: 2:08 - loss: 266.8535 - logits_profile_predictions_loss: 263.1332 - logcount_predictions_loss: 0.3477 130/1057 [==>...........................] - ETA: 2:08 - loss: 266.8391 - logits_profile_predictions_loss: 263.1186 - logcount_predictions_loss: 0.3477 131/1057 [==>...........................] - ETA: 2:08 - loss: 266.8259 - logits_profile_predictions_loss: 263.1050 - logcount_predictions_loss: 0.3477 132/1057 [==>...........................] - ETA: 2:08 - loss: 266.8123 - logits_profile_predictions_loss: 263.0912 - logcount_predictions_loss: 0.3478 133/1057 [==>...........................] - ETA: 2:08 - loss: 266.7971 - logits_profile_predictions_loss: 263.0757 - logcount_predictions_loss: 0.3478 134/1057 [==>...........................] - ETA: 2:08 - loss: 266.7812 - logits_profile_predictions_loss: 263.0595 - logcount_predictions_loss: 0.3478 135/1057 [==>...........................] - ETA: 2:08 - loss: 266.7652 - logits_profile_predictions_loss: 263.0433 - logcount_predictions_loss: 0.3478 136/1057 [==>...........................] - ETA: 2:07 - loss: 266.7494 - logits_profile_predictions_loss: 263.0273 - logcount_predictions_loss: 0.3479 137/1057 [==>...........................] - ETA: 2:07 - loss: 266.7345 - logits_profile_predictions_loss: 263.0122 - logcount_predictions_loss: 0.3479 138/1057 [==>...........................] - ETA: 2:07 - loss: 266.7207 - logits_profile_predictions_loss: 262.9981 - logcount_predictions_loss: 0.3479 139/1057 [==>...........................] - ETA: 2:07 - loss: 266.7076 - logits_profile_predictions_loss: 262.9849 - logcount_predictions_loss: 0.3479 140/1057 [==>...........................] - ETA: 2:07 - loss: 266.6961 - logits_profile_predictions_loss: 262.9731 - logcount_predictions_loss: 0.3479 141/1057 [===>..........................] - ETA: 2:07 - loss: 266.6836 - logits_profile_predictions_loss: 262.9604 - logcount_predictions_loss: 0.3480 142/1057 [===>..........................] - ETA: 2:07 - loss: 266.6692 - logits_profile_predictions_loss: 262.9459 - logcount_predictions_loss: 0.3480 143/1057 [===>..........................] - ETA: 2:06 - loss: 266.6552 - logits_profile_predictions_loss: 262.9317 - logcount_predictions_loss: 0.3480 144/1057 [===>..........................] - ETA: 2:06 - loss: 266.6422 - logits_profile_predictions_loss: 262.9184 - logcount_predictions_loss: 0.3480 145/1057 [===>..........................] - ETA: 2:06 - loss: 266.6299 - logits_profile_predictions_loss: 262.9058 - logcount_predictions_loss: 0.3481 146/1057 [===>..........................] - ETA: 2:06 - loss: 266.6170 - logits_profile_predictions_loss: 262.8925 - logcount_predictions_loss: 0.3481 147/1057 [===>..........................] - ETA: 2:06 - loss: 266.6044 - logits_profile_predictions_loss: 262.8797 - logcount_predictions_loss: 0.3481 148/1057 [===>..........................] - ETA: 2:06 - loss: 266.5916 - logits_profile_predictions_loss: 262.8667 - logcount_predictions_loss: 0.3481 150/1057 [===>..........................] - ETA: 2:05 - loss: 266.5668 - logits_profile_predictions_loss: 262.8414 - logcount_predictions_loss: 0.3482 151/1057 [===>..........................] - ETA: 2:05 - loss: 266.5555 - logits_profile_predictions_loss: 262.8299 - logcount_predictions_loss: 0.3482 152/1057 [===>..........................] - ETA: 2:04 - loss: 266.5456 - logits_profile_predictions_loss: 262.8197 - logcount_predictions_loss: 0.3482 153/1057 [===>..........................] - ETA: 2:04 - loss: 266.5368 - 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loss: 265.9373 - logits_profile_predictions_loss: 262.2834 - logcount_predictions_loss: 0.3415 1057/1057 [==============================] - 156s 147ms/step - loss: 265.9380 - logits_profile_predictions_loss: 262.2842 - logcount_predictions_loss: 0.3415 - val_loss: 291.5222 - val_logits_profile_predictions_loss: 288.1181 - val_logcount_predictions_loss: 0.3182 + +Epoch 00005: val_loss improved from 292.44363 to 291.52222, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1/chrombpnet.h5 +Epoch 6/50 + 1/1057 [..............................] - ETA: 2:43 - loss: 282.3433 - logits_profile_predictions_loss: 279.0275 - logcount_predictions_loss: 0.3099 2/1057 [..............................] - ETA: 2:28 - loss: 279.4742 - logits_profile_predictions_loss: 275.8845 - logcount_predictions_loss: 0.3355 3/1057 [..............................] - ETA: 2:27 - loss: 277.7305 - logits_profile_predictions_loss: 274.1466 - logcount_predictions_loss: 0.3349 4/1057 [..............................] - ETA: 2:26 - loss: 277.1930 - logits_profile_predictions_loss: 273.5703 - logcount_predictions_loss: 0.3386 5/1057 [..............................] - ETA: 2:26 - loss: 276.7390 - logits_profile_predictions_loss: 273.1152 - logcount_predictions_loss: 0.3387 6/1057 [..............................] - ETA: 2:26 - loss: 276.4561 - logits_profile_predictions_loss: 272.8438 - logcount_predictions_loss: 0.3376 7/1057 [..............................] - ETA: 2:26 - loss: 276.0466 - logits_profile_predictions_loss: 272.4608 - logcount_predictions_loss: 0.3351 8/1057 [..............................] - ETA: 2:25 - loss: 275.3359 - logits_profile_predictions_loss: 271.7828 - logcount_predictions_loss: 0.3321 9/1057 [..............................] - ETA: 2:25 - loss: 274.8071 - logits_profile_predictions_loss: 271.2765 - logcount_predictions_loss: 0.3300 10/1057 [..............................] - ETA: 2:25 - loss: 274.4046 - logits_profile_predictions_loss: 270.8804 - logcount_predictions_loss: 0.3294 11/1057 [..............................] - ETA: 2:25 - loss: 274.1462 - logits_profile_predictions_loss: 270.6269 - logcount_predictions_loss: 0.3289 12/1057 [..............................] - ETA: 2:25 - loss: 273.9704 - logits_profile_predictions_loss: 270.4587 - logcount_predictions_loss: 0.3282 13/1057 [..............................] - ETA: 2:25 - loss: 273.7938 - logits_profile_predictions_loss: 270.2912 - logcount_predictions_loss: 0.3273 14/1057 [..............................] - ETA: 2:24 - loss: 273.5544 - logits_profile_predictions_loss: 270.0587 - logcount_predictions_loss: 0.3267 15/1057 [..............................] - ETA: 2:24 - loss: 273.2221 - logits_profile_predictions_loss: 269.7312 - logcount_predictions_loss: 0.3263 16/1057 [..............................] - ETA: 2:24 - loss: 272.8622 - logits_profile_predictions_loss: 269.3759 - logcount_predictions_loss: 0.3258 17/1057 [..............................] - ETA: 2:24 - loss: 272.4793 - logits_profile_predictions_loss: 268.9948 - logcount_predictions_loss: 0.3257 18/1057 [..............................] - ETA: 2:24 - loss: 272.1449 - logits_profile_predictions_loss: 268.6617 - logcount_predictions_loss: 0.3255 19/1057 [..............................] - ETA: 2:24 - loss: 271.8088 - logits_profile_predictions_loss: 268.3261 - logcount_predictions_loss: 0.3255 20/1057 [..............................] - ETA: 2:24 - loss: 271.5445 - logits_profile_predictions_loss: 268.0637 - logcount_predictions_loss: 0.3253 21/1057 [..............................] - ETA: 2:23 - loss: 271.3284 - logits_profile_predictions_loss: 267.8497 - logcount_predictions_loss: 0.3251 22/1057 [..............................] - ETA: 2:23 - loss: 271.1453 - logits_profile_predictions_loss: 267.6691 - logcount_predictions_loss: 0.3249 23/1057 [..............................] - ETA: 2:23 - loss: 270.9844 - logits_profile_predictions_loss: 267.5113 - logcount_predictions_loss: 0.3246 24/1057 [..............................] - ETA: 2:23 - loss: 270.8631 - logits_profile_predictions_loss: 267.3936 - logcount_predictions_loss: 0.3243 25/1057 [..............................] - ETA: 2:23 - loss: 270.7128 - logits_profile_predictions_loss: 267.2448 - logcount_predictions_loss: 0.3241 26/1057 [..............................] - ETA: 2:23 - loss: 270.5984 - logits_profile_predictions_loss: 267.1306 - logcount_predictions_loss: 0.3241 27/1057 [..............................] - ETA: 2:23 - loss: 270.4945 - logits_profile_predictions_loss: 267.0276 - logcount_predictions_loss: 0.3240 28/1057 [..............................] - ETA: 2:22 - loss: 270.3933 - logits_profile_predictions_loss: 266.9266 - logcount_predictions_loss: 0.3240 29/1057 [..............................] - ETA: 2:22 - loss: 270.3332 - logits_profile_predictions_loss: 266.8666 - logcount_predictions_loss: 0.3240 30/1057 [..............................] - ETA: 2:22 - loss: 270.3106 - logits_profile_predictions_loss: 266.8443 - logcount_predictions_loss: 0.3240 31/1057 [..............................] - ETA: 2:22 - loss: 270.2794 - logits_profile_predictions_loss: 266.8132 - logcount_predictions_loss: 0.3240 32/1057 [..............................] - ETA: 2:22 - loss: 270.2666 - logits_profile_predictions_loss: 266.8014 - logcount_predictions_loss: 0.3239 33/1057 [..............................] - ETA: 2:22 - loss: 270.2390 - logits_profile_predictions_loss: 266.7751 - logcount_predictions_loss: 0.3237 34/1057 [..............................] - ETA: 2:22 - loss: 270.2140 - logits_profile_predictions_loss: 266.7518 - logcount_predictions_loss: 0.3236 35/1057 [..............................] - ETA: 2:21 - loss: 270.1752 - logits_profile_predictions_loss: 266.7149 - logcount_predictions_loss: 0.3234 36/1057 [>.............................] - ETA: 2:21 - loss: 270.1483 - logits_profile_predictions_loss: 266.6893 - logcount_predictions_loss: 0.3233 37/1057 [>.............................] - ETA: 2:21 - loss: 270.0907 - logits_profile_predictions_loss: 266.6321 - logcount_predictions_loss: 0.3232 38/1057 [>.............................] - ETA: 2:21 - loss: 270.0331 - logits_profile_predictions_loss: 266.5753 - logcount_predictions_loss: 0.3232 39/1057 [>.............................] - ETA: 2:21 - loss: 269.9814 - logits_profile_predictions_loss: 266.5237 - logcount_predictions_loss: 0.3232 40/1057 [>.............................] - ETA: 2:21 - loss: 269.9059 - logits_profile_predictions_loss: 266.4484 - logcount_predictions_loss: 0.3231 41/1057 [>.............................] - ETA: 2:21 - loss: 269.8317 - logits_profile_predictions_loss: 266.3747 - logcount_predictions_loss: 0.3231 42/1057 [>.............................] - ETA: 2:20 - loss: 269.7778 - logits_profile_predictions_loss: 266.3212 - logcount_predictions_loss: 0.3230 43/1057 [>.............................] - ETA: 2:20 - loss: 269.7363 - logits_profile_predictions_loss: 266.2790 - logcount_predictions_loss: 0.3231 44/1057 [>.............................] - ETA: 2:20 - loss: 269.6952 - logits_profile_predictions_loss: 266.2368 - logcount_predictions_loss: 0.3232 45/1057 [>.............................] - ETA: 2:20 - loss: 269.6487 - logits_profile_predictions_loss: 266.1899 - logcount_predictions_loss: 0.3233 46/1057 [>.............................] - ETA: 2:20 - loss: 269.5993 - logits_profile_predictions_loss: 266.1397 - logcount_predictions_loss: 0.3233 47/1057 [>.............................] - ETA: 2:20 - loss: 269.5538 - logits_profile_predictions_loss: 266.0930 - logcount_predictions_loss: 0.3234 48/1057 [>.............................] - ETA: 2:20 - loss: 269.5207 - logits_profile_predictions_loss: 266.0583 - logcount_predictions_loss: 0.3236 49/1057 [>.............................] - ETA: 2:19 - loss: 269.4902 - logits_profile_predictions_loss: 266.0265 - logcount_predictions_loss: 0.3237 50/1057 [>.............................] - ETA: 2:19 - loss: 269.4545 - logits_profile_predictions_loss: 265.9889 - logcount_predictions_loss: 0.3239 51/1057 [>.............................] - ETA: 2:19 - loss: 269.4178 - logits_profile_predictions_loss: 265.9497 - logcount_predictions_loss: 0.3241 52/1057 [>.............................] - ETA: 2:19 - loss: 269.3738 - logits_profile_predictions_loss: 265.9038 - logcount_predictions_loss: 0.3243 53/1057 [>.............................] - ETA: 2:19 - loss: 269.3358 - logits_profile_predictions_loss: 265.8637 - logcount_predictions_loss: 0.3245 54/1057 [>.............................] - ETA: 2:19 - loss: 269.3047 - logits_profile_predictions_loss: 265.8307 - logcount_predictions_loss: 0.3247 55/1057 [>.............................] - ETA: 2:19 - loss: 269.2876 - logits_profile_predictions_loss: 265.8120 - logcount_predictions_loss: 0.3248 56/1057 [>.............................] - ETA: 2:18 - loss: 269.2788 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:15 - loss: 268.9025 - logits_profile_predictions_loss: 265.3919 - logcount_predictions_loss: 0.3281 84/1057 [=>............................] - ETA: 2:15 - loss: 268.8871 - logits_profile_predictions_loss: 265.3757 - logcount_predictions_loss: 0.3282 85/1057 [=>............................] - ETA: 2:14 - loss: 268.8732 - logits_profile_predictions_loss: 265.3610 - logcount_predictions_loss: 0.3282 86/1057 [=>............................] - ETA: 2:14 - loss: 268.8627 - logits_profile_predictions_loss: 265.3497 - logcount_predictions_loss: 0.3283 87/1057 [=>............................] - ETA: 2:14 - loss: 268.8500 - logits_profile_predictions_loss: 265.3362 - logcount_predictions_loss: 0.3284 88/1057 [=>............................] - ETA: 2:14 - loss: 268.8415 - logits_profile_predictions_loss: 265.3271 - logcount_predictions_loss: 0.3285 89/1057 [=>............................] - ETA: 2:14 - loss: 268.8312 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 265.0876 - logcount_predictions_loss: 0.3288 110/1057 [==>...........................] - ETA: 2:11 - loss: 268.5970 - logits_profile_predictions_loss: 265.0786 - logcount_predictions_loss: 0.3288 111/1057 [==>...........................] - ETA: 2:11 - loss: 268.5880 - logits_profile_predictions_loss: 265.0698 - logcount_predictions_loss: 0.3288 112/1057 [==>...........................] - ETA: 2:11 - loss: 268.5790 - logits_profile_predictions_loss: 265.0608 - logcount_predictions_loss: 0.3288 113/1057 [==>...........................] - ETA: 2:11 - loss: 268.5682 - logits_profile_predictions_loss: 265.0501 - logcount_predictions_loss: 0.3288 114/1057 [==>...........................] - ETA: 2:10 - loss: 268.5591 - logits_profile_predictions_loss: 265.0412 - logcount_predictions_loss: 0.3288 115/1057 [==>...........................] - ETA: 2:10 - loss: 268.5532 - logits_profile_predictions_loss: 265.0355 - logcount_predictions_loss: 0.3288 116/1057 [==>...........................] - ETA: 2:10 - loss: 268.5461 - logits_profile_predictions_loss: 265.0286 - logcount_predictions_loss: 0.3287 117/1057 [==>...........................] - ETA: 2:10 - loss: 268.5392 - logits_profile_predictions_loss: 265.0219 - logcount_predictions_loss: 0.3287 118/1057 [==>...........................] - ETA: 2:10 - loss: 268.5320 - logits_profile_predictions_loss: 265.0148 - logcount_predictions_loss: 0.3287 119/1057 [==>...........................] - ETA: 2:10 - loss: 268.5259 - logits_profile_predictions_loss: 265.0089 - logcount_predictions_loss: 0.3287 120/1057 [==>...........................] - ETA: 2:10 - loss: 268.5189 - logits_profile_predictions_loss: 265.0022 - logcount_predictions_loss: 0.3287 121/1057 [==>...........................] - ETA: 2:09 - loss: 268.5110 - logits_profile_predictions_loss: 264.9946 - logcount_predictions_loss: 0.3286 122/1057 [==>...........................] - ETA: 2:09 - loss: 268.5031 - logits_profile_predictions_loss: 264.9870 - logcount_predictions_loss: 0.3286 123/1057 [==>...........................] - ETA: 2:09 - loss: 268.4943 - logits_profile_predictions_loss: 264.9784 - logcount_predictions_loss: 0.3286 125/1057 [==>...........................] - ETA: 2:08 - loss: 268.4749 - logits_profile_predictions_loss: 264.9596 - logcount_predictions_loss: 0.3285 126/1057 [==>...........................] - ETA: 2:08 - loss: 268.4642 - logits_profile_predictions_loss: 264.9491 - logcount_predictions_loss: 0.3285 127/1057 [==>...........................] - ETA: 2:08 - loss: 268.4541 - logits_profile_predictions_loss: 264.9393 - logcount_predictions_loss: 0.3285 128/1057 [==>...........................] - ETA: 2:08 - loss: 268.4447 - logits_profile_predictions_loss: 264.9301 - logcount_predictions_loss: 0.3285 129/1057 [==>...........................] - ETA: 2:07 - loss: 268.4354 - logits_profile_predictions_loss: 264.9211 - logcount_predictions_loss: 0.3284 130/1057 [==>...........................] - ETA: 2:07 - loss: 268.4254 - logits_profile_predictions_loss: 264.9114 - logcount_predictions_loss: 0.3284 131/1057 [==>...........................] - ETA: 2:07 - loss: 268.4151 - logits_profile_predictions_loss: 264.9013 - logcount_predictions_loss: 0.3284 132/1057 [==>...........................] - ETA: 2:07 - loss: 268.4051 - logits_profile_predictions_loss: 264.8916 - logcount_predictions_loss: 0.3284 133/1057 [==>...........................] - ETA: 2:07 - loss: 268.3961 - logits_profile_predictions_loss: 264.8829 - logcount_predictions_loss: 0.3283 134/1057 [==>...........................] - ETA: 2:07 - loss: 268.3877 - logits_profile_predictions_loss: 264.8749 - logcount_predictions_loss: 0.3283 135/1057 [==>...........................] - ETA: 2:07 - loss: 268.3790 - logits_profile_predictions_loss: 264.8664 - logcount_predictions_loss: 0.3283 136/1057 [==>...........................] - ETA: 2:07 - loss: 268.3687 - logits_profile_predictions_loss: 264.8564 - logcount_predictions_loss: 0.3282 137/1057 [==>...........................] - ETA: 2:06 - loss: 268.3578 - logits_profile_predictions_loss: 264.8458 - logcount_predictions_loss: 0.3282 138/1057 [==>...........................] - ETA: 2:06 - loss: 268.3463 - logits_profile_predictions_loss: 264.8346 - logcount_predictions_loss: 0.3282 139/1057 [==>...........................] - ETA: 2:06 - loss: 268.3349 - logits_profile_predictions_loss: 264.8235 - logcount_predictions_loss: 0.3282 140/1057 [==>...........................] - ETA: 2:06 - loss: 268.3239 - logits_profile_predictions_loss: 264.8127 - logcount_predictions_loss: 0.3281 141/1057 [===>..........................] - ETA: 2:06 - loss: 268.3127 - logits_profile_predictions_loss: 264.8017 - logcount_predictions_loss: 0.3281 142/1057 [===>..........................] - ETA: 2:06 - loss: 268.3004 - logits_profile_predictions_loss: 264.7896 - logcount_predictions_loss: 0.3281 143/1057 [===>..........................] - ETA: 2:06 - loss: 268.2887 - logits_profile_predictions_loss: 264.7779 - logcount_predictions_loss: 0.3281 144/1057 [===>..........................] - ETA: 2:05 - loss: 268.2786 - logits_profile_predictions_loss: 264.7679 - logcount_predictions_loss: 0.3281 145/1057 [===>..........................] - ETA: 2:05 - loss: 268.2678 - logits_profile_predictions_loss: 264.7572 - logcount_predictions_loss: 0.3281 146/1057 [===>..........................] - ETA: 2:05 - loss: 268.2565 - logits_profile_predictions_loss: 264.7461 - logcount_predictions_loss: 0.3281 147/1057 [===>..........................] - ETA: 2:05 - loss: 268.2464 - logits_profile_predictions_loss: 264.7361 - logcount_predictions_loss: 0.3281 148/1057 [===>..........................] - ETA: 2:05 - loss: 268.2370 - logits_profile_predictions_loss: 264.7268 - logcount_predictions_loss: 0.3281 149/1057 [===>..........................] - ETA: 2:05 - loss: 268.2273 - logits_profile_predictions_loss: 264.7173 - logcount_predictions_loss: 0.3280 150/1057 [===>..........................] - ETA: 2:05 - loss: 268.2186 - logits_profile_predictions_loss: 264.7088 - logcount_predictions_loss: 0.3280 151/1057 [===>..........................] - ETA: 2:05 - loss: 268.2088 - logits_profile_predictions_loss: 264.6992 - logcount_predictions_loss: 0.3280 152/1057 [===>..........................] - ETA: 2:04 - loss: 268.1984 - logits_profile_predictions_loss: 264.6891 - logcount_predictions_loss: 0.3280 153/1057 [===>..........................] - ETA: 2:04 - loss: 268.1882 - logits_profile_predictions_loss: 264.6791 - logcount_predictions_loss: 0.3280 154/1057 [===>..........................] - ETA: 2:04 - loss: 268.1781 - logits_profile_predictions_loss: 264.6692 - logcount_predictions_loss: 0.3279 155/1057 [===>..........................] - ETA: 2:04 - loss: 268.1686 - logits_profile_predictions_loss: 264.6598 - logcount_predictions_loss: 0.3279 156/1057 [===>..........................] - ETA: 2:04 - loss: 268.1580 - logits_profile_predictions_loss: 264.6493 - logcount_predictions_loss: 0.3279 157/1057 [===>..........................] - ETA: 2:04 - loss: 268.1473 - logits_profile_predictions_loss: 264.6387 - logcount_predictions_loss: 0.3279 158/1057 [===>..........................] - ETA: 2:04 - loss: 268.1370 - logits_profile_predictions_loss: 264.6286 - logcount_predictions_loss: 0.3279 159/1057 [===>..........................] - ETA: 2:04 - loss: 268.1263 - logits_profile_predictions_loss: 264.6180 - logcount_predictions_loss: 0.3279 160/1057 [===>..........................] - ETA: 2:03 - loss: 268.1158 - logits_profile_predictions_loss: 264.6076 - logcount_predictions_loss: 0.3279 161/1057 [===>..........................] - ETA: 2:03 - loss: 268.1052 - logits_profile_predictions_loss: 264.5972 - logcount_predictions_loss: 0.3278 162/1057 [===>..........................] - ETA: 2:03 - loss: 268.0939 - logits_profile_predictions_loss: 264.5861 - logcount_predictions_loss: 0.3278 163/1057 [===>..........................] - ETA: 2:03 - loss: 268.0819 - logits_profile_predictions_loss: 264.5744 - logcount_predictions_loss: 0.3278 164/1057 [===>..........................] - ETA: 2:03 - loss: 268.0693 - logits_profile_predictions_loss: 264.5620 - logcount_predictions_loss: 0.3278 165/1057 [===>..........................] - ETA: 2:03 - loss: 268.0555 - logits_profile_predictions_loss: 264.5482 - logcount_predictions_loss: 0.3278 166/1057 [===>..........................] - ETA: 2:03 - loss: 268.0421 - logits_profile_predictions_loss: 264.5350 - logcount_predictions_loss: 0.3278 167/1057 [===>..........................] - ETA: 2:02 - loss: 268.0291 - logits_profile_predictions_loss: 264.5222 - logcount_predictions_loss: 0.3277 168/1057 [===>..........................] - ETA: 2:02 - loss: 268.0166 - logits_profile_predictions_loss: 264.5099 - logcount_predictions_loss: 0.3277 169/1057 [===>..........................] - ETA: 2:02 - loss: 268.0040 - logits_profile_predictions_loss: 264.4974 - logcount_predictions_loss: 0.3277 170/1057 [===>..........................] - ETA: 2:02 - loss: 267.9909 - logits_profile_predictions_loss: 264.4844 - logcount_predictions_loss: 0.3277 171/1057 [===>..........................] - ETA: 2:02 - loss: 267.9788 - logits_profile_predictions_loss: 264.4725 - logcount_predictions_loss: 0.3277 172/1057 [===>..........................] - ETA: 2:02 - loss: 267.9676 - logits_profile_predictions_loss: 264.4613 - logcount_predictions_loss: 0.3277 173/1057 [===>..........................] - ETA: 2:02 - loss: 267.9558 - logits_profile_predictions_loss: 264.4497 - logcount_predictions_loss: 0.3277 174/1057 [===>..........................] - ETA: 2:01 - loss: 267.9444 - logits_profile_predictions_loss: 264.4384 - logcount_predictions_loss: 0.3277 175/1057 [===>..........................] - ETA: 2:01 - loss: 267.9326 - logits_profile_predictions_loss: 264.4267 - logcount_predictions_loss: 0.3277 176/1057 [===>..........................] - ETA: 2:01 - loss: 267.9213 - logits_profile_predictions_loss: 264.4155 - logcount_predictions_loss: 0.3276 177/1057 [====>.........................] - ETA: 2:01 - loss: 267.9089 - logits_profile_predictions_loss: 264.4032 - logcount_predictions_loss: 0.3276 178/1057 [====>.........................] - ETA: 2:01 - loss: 267.8970 - logits_profile_predictions_loss: 264.3914 - logcount_predictions_loss: 0.3276 179/1057 [====>.........................] - ETA: 2:01 - loss: 267.8844 - logits_profile_predictions_loss: 264.3790 - logcount_predictions_loss: 0.3276 180/1057 [====>.........................] - ETA: 2:01 - loss: 267.8712 - logits_profile_predictions_loss: 264.3659 - logcount_predictions_loss: 0.3276 181/1057 [====>.........................] - ETA: 2:01 - loss: 267.8585 - logits_profile_predictions_loss: 264.3533 - logcount_predictions_loss: 0.3276 182/1057 [====>.........................] - ETA: 2:00 - loss: 267.8455 - logits_profile_predictions_loss: 264.3405 - logcount_predictions_loss: 0.3276 183/1057 [====>.........................] - ETA: 2:00 - loss: 267.8328 - logits_profile_predictions_loss: 264.3278 - logcount_predictions_loss: 0.3276 184/1057 [====>.........................] - ETA: 2:00 - loss: 267.8199 - logits_profile_predictions_loss: 264.3149 - logcount_predictions_loss: 0.3276 185/1057 [====>.........................] - ETA: 2:00 - loss: 267.8071 - logits_profile_predictions_loss: 264.3022 - logcount_predictions_loss: 0.3276 186/1057 [====>.........................] - ETA: 2:00 - loss: 267.7945 - logits_profile_predictions_loss: 264.2897 - logcount_predictions_loss: 0.3276 187/1057 [====>.........................] - ETA: 2:00 - loss: 267.7822 - logits_profile_predictions_loss: 264.2775 - logcount_predictions_loss: 0.3275 188/1057 [====>.........................] - ETA: 2:00 - loss: 267.7711 - logits_profile_predictions_loss: 264.2664 - logcount_predictions_loss: 0.3275 189/1057 [====>.........................] - ETA: 1:59 - loss: 267.7600 - logits_profile_predictions_loss: 264.2555 - logcount_predictions_loss: 0.3275 190/1057 [====>.........................] - ETA: 1:59 - loss: 267.7484 - logits_profile_predictions_loss: 264.2440 - logcount_predictions_loss: 0.3275 191/1057 [====>.........................] - ETA: 1:59 - loss: 267.7371 - logits_profile_predictions_loss: 264.2327 - logcount_predictions_loss: 0.3275 192/1057 [====>.........................] - ETA: 1:59 - loss: 267.7253 - logits_profile_predictions_loss: 264.2211 - logcount_predictions_loss: 0.3275 193/1057 [====>.........................] - ETA: 1:59 - loss: 267.7133 - logits_profile_predictions_loss: 264.2093 - logcount_predictions_loss: 0.3275 194/1057 [====>.........................] - ETA: 1:59 - loss: 267.7018 - logits_profile_predictions_loss: 264.1978 - logcount_predictions_loss: 0.3275 195/1057 [====>.........................] - ETA: 1:59 - loss: 267.6911 - logits_profile_predictions_loss: 264.1873 - logcount_predictions_loss: 0.3275 196/1057 [====>.........................] - ETA: 1:59 - loss: 267.6802 - logits_profile_predictions_loss: 264.1765 - logcount_predictions_loss: 0.3274 197/1057 [====>.........................] - ETA: 1:58 - loss: 267.6699 - logits_profile_predictions_loss: 264.1664 - logcount_predictions_loss: 0.3274 198/1057 [====>.........................] - ETA: 1:58 - loss: 267.6602 - logits_profile_predictions_loss: 264.1568 - logcount_predictions_loss: 0.3274 199/1057 [====>.........................] - ETA: 1:58 - loss: 267.6504 - logits_profile_predictions_loss: 264.1471 - logcount_predictions_loss: 0.3274 200/1057 [====>.........................] - ETA: 1:58 - loss: 267.6400 - logits_profile_predictions_loss: 264.1368 - logcount_predictions_loss: 0.3274 201/1057 [====>.........................] - ETA: 1:58 - loss: 267.6294 - logits_profile_predictions_loss: 264.1263 - logcount_predictions_loss: 0.3274 202/1057 [====>.........................] - ETA: 1:58 - loss: 267.6184 - logits_profile_predictions_loss: 264.1154 - logcount_predictions_loss: 0.3274 203/1057 [====>.........................] - ETA: 1:58 - loss: 267.6078 - logits_profile_predictions_loss: 264.1050 - logcount_predictions_loss: 0.3274 204/1057 [====>.........................] - ETA: 1:57 - loss: 267.5969 - logits_profile_predictions_loss: 264.0942 - logcount_predictions_loss: 0.3274 205/1057 [====>.........................] - ETA: 1:57 - loss: 267.5861 - logits_profile_predictions_loss: 264.0835 - logcount_predictions_loss: 0.3274 206/1057 [====>.........................] - ETA: 1:57 - loss: 267.5751 - logits_profile_predictions_loss: 264.0725 - logcount_predictions_loss: 0.3273 207/1057 [====>.........................] - ETA: 1:57 - loss: 267.5638 - logits_profile_predictions_loss: 264.0613 - logcount_predictions_loss: 0.3273 208/1057 [====>.........................] - ETA: 1:57 - loss: 267.5529 - logits_profile_predictions_loss: 264.0505 - logcount_predictions_loss: 0.3273 209/1057 [====>.........................] - ETA: 1:57 - loss: 267.5415 - logits_profile_predictions_loss: 264.0393 - logcount_predictions_loss: 0.3273 210/1057 [====>.........................] - ETA: 1:57 - loss: 267.5300 - logits_profile_predictions_loss: 264.0279 - logcount_predictions_loss: 0.3273 211/1057 [====>.........................] - ETA: 1:56 - loss: 267.5190 - logits_profile_predictions_loss: 264.0171 - logcount_predictions_loss: 0.3273 212/1057 [=====>........................] - ETA: 1:56 - loss: 267.5079 - logits_profile_predictions_loss: 264.0060 - logcount_predictions_loss: 0.3273 213/1057 [=====>........................] - ETA: 1:56 - loss: 267.4970 - logits_profile_predictions_loss: 263.9952 - logcount_predictions_loss: 0.3273 214/1057 [=====>........................] - ETA: 1:56 - loss: 267.4862 - logits_profile_predictions_loss: 263.9846 - logcount_predictions_loss: 0.3273 215/1057 [=====>........................] - ETA: 1:56 - loss: 267.4755 - logits_profile_predictions_loss: 263.9740 - logcount_predictions_loss: 0.3272 216/1057 [=====>........................] - ETA: 1:56 - loss: 267.4651 - logits_profile_predictions_loss: 263.9637 - logcount_predictions_loss: 0.3272 217/1057 [=====>........................] - ETA: 1:56 - loss: 267.4546 - logits_profile_predictions_loss: 263.9533 - logcount_predictions_loss: 0.3272 218/1057 [=====>........................] - ETA: 1:56 - loss: 267.4445 - logits_profile_predictions_loss: 263.9432 - logcount_predictions_loss: 0.3272 219/1057 [=====>........................] - ETA: 1:55 - loss: 267.4346 - logits_profile_predictions_loss: 263.9334 - logcount_predictions_loss: 0.3272 220/1057 [=====>........................] - ETA: 1:55 - loss: 267.4253 - logits_profile_predictions_loss: 263.9241 - logcount_predictions_loss: 0.3272 221/1057 [=====>........................] - ETA: 1:55 - loss: 267.4153 - logits_profile_predictions_loss: 263.9143 - logcount_predictions_loss: 0.3272 222/1057 [=====>........................] - ETA: 1:55 - loss: 267.4055 - logits_profile_predictions_loss: 263.9045 - logcount_predictions_loss: 0.3272 223/1057 [=====>........................] - ETA: 1:55 - loss: 267.3957 - logits_profile_predictions_loss: 263.8948 - logcount_predictions_loss: 0.3272 224/1057 [=====>........................] - ETA: 1:55 - loss: 267.3864 - logits_profile_predictions_loss: 263.8856 - logcount_predictions_loss: 0.3272 225/1057 [=====>........................] - ETA: 1:55 - loss: 267.3774 - logits_profile_predictions_loss: 263.8767 - logcount_predictions_loss: 0.3272 226/1057 [=====>........................] - ETA: 1:54 - loss: 267.3682 - logits_profile_predictions_loss: 263.8675 - logcount_predictions_loss: 0.3272 227/1057 [=====>........................] - ETA: 1:54 - loss: 267.3594 - logits_profile_predictions_loss: 263.8588 - logcount_predictions_loss: 0.3272 228/1057 [=====>........................] - ETA: 1:54 - loss: 267.3506 - logits_profile_predictions_loss: 263.8501 - logcount_predictions_loss: 0.3272 229/1057 [=====>........................] - ETA: 1:54 - loss: 267.3417 - logits_profile_predictions_loss: 263.8412 - logcount_predictions_loss: 0.3271 230/1057 [=====>........................] - ETA: 1:54 - loss: 267.3331 - logits_profile_predictions_loss: 263.8326 - logcount_predictions_loss: 0.3271 231/1057 [=====>........................] - ETA: 1:54 - loss: 267.3247 - logits_profile_predictions_loss: 263.8244 - logcount_predictions_loss: 0.3271 232/1057 [=====>........................] - ETA: 1:54 - loss: 267.3161 - logits_profile_predictions_loss: 263.8159 - logcount_predictions_loss: 0.3271 233/1057 [=====>........................] - ETA: 1:53 - loss: 267.3077 - logits_profile_predictions_loss: 263.8075 - logcount_predictions_loss: 0.3271 234/1057 [=====>........................] - ETA: 1:53 - loss: 267.2993 - logits_profile_predictions_loss: 263.7992 - logcount_predictions_loss: 0.3271 235/1057 [=====>........................] - ETA: 1:53 - loss: 267.2910 - logits_profile_predictions_loss: 263.7909 - logcount_predictions_loss: 0.3271 236/1057 [=====>........................] - ETA: 1:53 - loss: 267.2829 - logits_profile_predictions_loss: 263.7830 - logcount_predictions_loss: 0.3271 237/1057 [=====>........................] - ETA: 1:53 - loss: 267.2752 - logits_profile_predictions_loss: 263.7753 - logcount_predictions_loss: 0.3271 238/1057 [=====>........................] - ETA: 1:53 - loss: 267.2682 - logits_profile_predictions_loss: 263.7684 - logcount_predictions_loss: 0.3271 239/1057 [=====>........................] - ETA: 1:53 - loss: 267.2613 - logits_profile_predictions_loss: 263.7616 - logcount_predictions_loss: 0.3271 240/1057 [=====>........................] - ETA: 1:53 - loss: 267.2544 - logits_profile_predictions_loss: 263.7547 - logcount_predictions_loss: 0.3271 241/1057 [=====>........................] - ETA: 1:52 - loss: 267.2478 - logits_profile_predictions_loss: 263.7483 - logcount_predictions_loss: 0.3271 242/1057 [=====>........................] - ETA: 1:52 - loss: 267.2411 - logits_profile_predictions_loss: 263.7416 - logcount_predictions_loss: 0.3271 243/1057 [=====>........................] - ETA: 1:52 - loss: 267.2347 - logits_profile_predictions_loss: 263.7352 - logcount_predictions_loss: 0.3271 244/1057 [=====>........................] - ETA: 1:52 - loss: 267.2282 - logits_profile_predictions_loss: 263.7288 - logcount_predictions_loss: 0.3270 245/1057 [=====>........................] - ETA: 1:52 - loss: 267.2218 - logits_profile_predictions_loss: 263.7225 - logcount_predictions_loss: 0.3270 246/1057 [=====>........................] - ETA: 1:52 - loss: 267.2153 - logits_profile_predictions_loss: 263.7161 - logcount_predictions_loss: 0.3270 247/1057 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[==>...........................] - ETA: 2:09 - loss: 262.7632 - logits_profile_predictions_loss: 259.5251 - logcount_predictions_loss: 0.3026 127/1057 [==>...........................] - ETA: 2:09 - loss: 262.7810 - logits_profile_predictions_loss: 259.5422 - logcount_predictions_loss: 0.3027 128/1057 [==>...........................] - ETA: 2:09 - loss: 262.7985 - logits_profile_predictions_loss: 259.5588 - logcount_predictions_loss: 0.3028 129/1057 [==>...........................] - ETA: 2:08 - loss: 262.8144 - logits_profile_predictions_loss: 259.5739 - logcount_predictions_loss: 0.3028 130/1057 [==>...........................] - ETA: 2:08 - loss: 262.8303 - logits_profile_predictions_loss: 259.5890 - logcount_predictions_loss: 0.3029 131/1057 [==>...........................] - ETA: 2:08 - loss: 262.8461 - logits_profile_predictions_loss: 259.6039 - logcount_predictions_loss: 0.3030 132/1057 [==>...........................] - ETA: 2:08 - loss: 262.8613 - 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[==>...........................] - ETA: 2:07 - loss: 262.9735 - logits_profile_predictions_loss: 259.7232 - logcount_predictions_loss: 0.3038 140/1057 [==>...........................] - ETA: 2:07 - loss: 262.9909 - logits_profile_predictions_loss: 259.7395 - logcount_predictions_loss: 0.3039 141/1057 [===>..........................] - ETA: 2:07 - loss: 263.0071 - logits_profile_predictions_loss: 259.7545 - logcount_predictions_loss: 0.3040 142/1057 [===>..........................] - ETA: 2:07 - loss: 263.0239 - logits_profile_predictions_loss: 259.7702 - logcount_predictions_loss: 0.3041 143/1057 [===>..........................] - ETA: 2:06 - loss: 263.0403 - logits_profile_predictions_loss: 259.7855 - logcount_predictions_loss: 0.3042 144/1057 [===>..........................] - ETA: 2:06 - loss: 263.0574 - logits_profile_predictions_loss: 259.8013 - logcount_predictions_loss: 0.3043 145/1057 [===>..........................] - ETA: 2:06 - loss: 263.0747 - 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1057/1057 [==============================] - ETA: 0s - loss: 264.3334 - logits_profile_predictions_loss: 260.9531 - logcount_predictions_loss: 0.3159 1057/1057 [==============================] - 156s 147ms/step - loss: 264.3334 - logits_profile_predictions_loss: 260.9532 - logcount_predictions_loss: 0.3159 - val_loss: 291.5677 - val_logits_profile_predictions_loss: 288.3538 - val_logcount_predictions_loss: 0.3004 + +Epoch 00007: val_loss did not improve from 291.52222 +Epoch 8/50 + 1/1057 [..............................] - ETA: 2:42 - loss: 245.8027 - logits_profile_predictions_loss: 242.8785 - logcount_predictions_loss: 0.2733 2/1057 [..............................] - ETA: 2:35 - loss: 249.9995 - logits_profile_predictions_loss: 247.0412 - logcount_predictions_loss: 0.2765 3/1057 [..............................] - ETA: 2:30 - loss: 252.2197 - logits_profile_predictions_loss: 249.3529 - logcount_predictions_loss: 0.2679 4/1057 [..............................] - ETA: 2:28 - loss: 254.5505 - logits_profile_predictions_loss: 251.6120 - logcount_predictions_loss: 0.2746 5/1057 [..............................] - ETA: 2:28 - loss: 255.5903 - logits_profile_predictions_loss: 252.6368 - logcount_predictions_loss: 0.2760 6/1057 [..............................] - ETA: 2:27 - loss: 256.0277 - logits_profile_predictions_loss: 253.0640 - logcount_predictions_loss: 0.2770 7/1057 [..............................] - ETA: 2:27 - loss: 257.1419 - logits_profile_predictions_loss: 254.1479 - logcount_predictions_loss: 0.2798 8/1057 [..............................] - ETA: 2:27 - loss: 257.9351 - logits_profile_predictions_loss: 254.9343 - logcount_predictions_loss: 0.2804 9/1057 [..............................] - ETA: 2:26 - loss: 258.6996 - logits_profile_predictions_loss: 255.6799 - logcount_predictions_loss: 0.2822 10/1057 [..............................] - ETA: 2:26 - loss: 259.1459 - logits_profile_predictions_loss: 256.1005 - logcount_predictions_loss: 0.2846 11/1057 [..............................] - ETA: 2:26 - loss: 259.6249 - logits_profile_predictions_loss: 256.5614 - logcount_predictions_loss: 0.2863 12/1057 [..............................] - ETA: 2:26 - loss: 260.0569 - logits_profile_predictions_loss: 256.9819 - logcount_predictions_loss: 0.2874 13/1057 [..............................] - ETA: 2:25 - loss: 260.5478 - logits_profile_predictions_loss: 257.4542 - logcount_predictions_loss: 0.2891 14/1057 [..............................] - ETA: 2:25 - loss: 260.9931 - logits_profile_predictions_loss: 257.8841 - logcount_predictions_loss: 0.2906 15/1057 [..............................] - ETA: 2:25 - loss: 261.3430 - logits_profile_predictions_loss: 258.2243 - logcount_predictions_loss: 0.2915 16/1057 [..............................] - ETA: 2:25 - loss: 261.6480 - logits_profile_predictions_loss: 258.5183 - logcount_predictions_loss: 0.2925 17/1057 [..............................] - ETA: 2:25 - loss: 261.9731 - logits_profile_predictions_loss: 258.8333 - logcount_predictions_loss: 0.2934 18/1057 [..............................] - ETA: 2:24 - loss: 262.2789 - logits_profile_predictions_loss: 259.1321 - logcount_predictions_loss: 0.2941 19/1057 [..............................] - ETA: 2:24 - loss: 262.4834 - logits_profile_predictions_loss: 259.3313 - logcount_predictions_loss: 0.2946 20/1057 [..............................] - ETA: 2:24 - loss: 262.6346 - logits_profile_predictions_loss: 259.4768 - logcount_predictions_loss: 0.2951 21/1057 [..............................] - ETA: 2:24 - loss: 262.7847 - logits_profile_predictions_loss: 259.6214 - logcount_predictions_loss: 0.2956 22/1057 [..............................] - ETA: 2:24 - loss: 262.8814 - logits_profile_predictions_loss: 259.7152 - logcount_predictions_loss: 0.2959 23/1057 [..............................] - ETA: 2:24 - loss: 263.0134 - logits_profile_predictions_loss: 259.8443 - logcount_predictions_loss: 0.2962 24/1057 [..............................] - ETA: 2:23 - loss: 263.1283 - logits_profile_predictions_loss: 259.9573 - logcount_predictions_loss: 0.2964 25/1057 [..............................] - ETA: 2:23 - loss: 263.2426 - logits_profile_predictions_loss: 260.0717 - logcount_predictions_loss: 0.2963 26/1057 [..............................] - ETA: 2:23 - loss: 263.3270 - logits_profile_predictions_loss: 260.1574 - logcount_predictions_loss: 0.2962 27/1057 [..............................] - ETA: 2:23 - loss: 263.4056 - logits_profile_predictions_loss: 260.2358 - logcount_predictions_loss: 0.2962 28/1057 [..............................] - ETA: 2:23 - loss: 263.4777 - logits_profile_predictions_loss: 260.3088 - logcount_predictions_loss: 0.2962 29/1057 [..............................] - ETA: 2:23 - loss: 263.5162 - logits_profile_predictions_loss: 260.3472 - logcount_predictions_loss: 0.2962 30/1057 [..............................] - ETA: 2:22 - loss: 263.5278 - logits_profile_predictions_loss: 260.3583 - logcount_predictions_loss: 0.2962 31/1057 [..............................] - ETA: 2:22 - loss: 263.5336 - logits_profile_predictions_loss: 260.3640 - logcount_predictions_loss: 0.2962 32/1057 [..............................] - ETA: 2:22 - loss: 263.5490 - logits_profile_predictions_loss: 260.3793 - logcount_predictions_loss: 0.2962 33/1057 [..............................] - ETA: 2:22 - loss: 263.5406 - logits_profile_predictions_loss: 260.3708 - logcount_predictions_loss: 0.2962 34/1057 [..............................] - ETA: 2:22 - loss: 263.5114 - logits_profile_predictions_loss: 260.3413 - logcount_predictions_loss: 0.2963 35/1057 [..............................] - ETA: 2:22 - loss: 263.4695 - logits_profile_predictions_loss: 260.2998 - logcount_predictions_loss: 0.2962 36/1057 [>.............................] - ETA: 2:22 - loss: 263.4195 - logits_profile_predictions_loss: 260.2505 - logcount_predictions_loss: 0.2962 37/1057 [>.............................] - ETA: 2:21 - loss: 263.3868 - logits_profile_predictions_loss: 260.2184 - logcount_predictions_loss: 0.2961 38/1057 [>.............................] - ETA: 2:21 - loss: 263.3427 - logits_profile_predictions_loss: 260.1746 - logcount_predictions_loss: 0.2961 39/1057 [>.............................] - ETA: 2:21 - loss: 263.2975 - logits_profile_predictions_loss: 260.1305 - logcount_predictions_loss: 0.2960 40/1057 [>.............................] - ETA: 2:21 - loss: 263.2388 - logits_profile_predictions_loss: 260.0727 - logcount_predictions_loss: 0.2959 41/1057 [>.............................] - ETA: 2:21 - loss: 263.1955 - logits_profile_predictions_loss: 260.0305 - logcount_predictions_loss: 0.2958 42/1057 [>.............................] - ETA: 2:21 - loss: 263.1513 - logits_profile_predictions_loss: 259.9876 - logcount_predictions_loss: 0.2957 43/1057 [>.............................] - ETA: 2:21 - loss: 263.1154 - logits_profile_predictions_loss: 259.9520 - logcount_predictions_loss: 0.2956 44/1057 [>.............................] - ETA: 2:20 - loss: 263.0711 - logits_profile_predictions_loss: 259.9081 - logcount_predictions_loss: 0.2956 45/1057 [>.............................] - ETA: 2:20 - loss: 263.0175 - logits_profile_predictions_loss: 259.8548 - logcount_predictions_loss: 0.2956 46/1057 [>.............................] - ETA: 2:20 - loss: 262.9472 - logits_profile_predictions_loss: 259.7848 - logcount_predictions_loss: 0.2956 47/1057 [>.............................] - ETA: 2:20 - loss: 262.8905 - logits_profile_predictions_loss: 259.7283 - logcount_predictions_loss: 0.2955 48/1057 [>.............................] - ETA: 2:20 - loss: 262.8435 - logits_profile_predictions_loss: 259.6818 - logcount_predictions_loss: 0.2955 49/1057 [>.............................] - ETA: 2:20 - loss: 262.7994 - logits_profile_predictions_loss: 259.6383 - logcount_predictions_loss: 0.2954 50/1057 [>.............................] - ETA: 2:20 - loss: 262.7609 - logits_profile_predictions_loss: 259.6003 - logcount_predictions_loss: 0.2954 51/1057 [>.............................] - ETA: 2:19 - loss: 262.7277 - logits_profile_predictions_loss: 259.5674 - logcount_predictions_loss: 0.2954 52/1057 [>.............................] - ETA: 2:19 - loss: 262.6992 - logits_profile_predictions_loss: 259.5394 - logcount_predictions_loss: 0.2953 53/1057 [>.............................] - ETA: 2:19 - loss: 262.6744 - logits_profile_predictions_loss: 259.5151 - logcount_predictions_loss: 0.2953 54/1057 [>.............................] - ETA: 2:19 - loss: 262.6572 - logits_profile_predictions_loss: 259.4984 - logcount_predictions_loss: 0.2952 55/1057 [>.............................] - ETA: 2:19 - loss: 262.6419 - logits_profile_predictions_loss: 259.4836 - logcount_predictions_loss: 0.2952 56/1057 [>.............................] - ETA: 2:19 - loss: 262.6295 - logits_profile_predictions_loss: 259.4715 - logcount_predictions_loss: 0.2951 57/1057 [>.............................] - ETA: 2:19 - loss: 262.6294 - logits_profile_predictions_loss: 259.4715 - logcount_predictions_loss: 0.2951 58/1057 [>.............................] - ETA: 2:18 - loss: 262.6272 - logits_profile_predictions_loss: 259.4694 - logcount_predictions_loss: 0.2951 59/1057 [>.............................] - ETA: 2:18 - loss: 262.6317 - logits_profile_predictions_loss: 259.4743 - logcount_predictions_loss: 0.2951 60/1057 [>.............................] - ETA: 2:18 - loss: 262.6388 - logits_profile_predictions_loss: 259.4818 - logcount_predictions_loss: 0.2950 61/1057 [>.............................] - ETA: 2:18 - loss: 262.6485 - logits_profile_predictions_loss: 259.4916 - logcount_predictions_loss: 0.2950 62/1057 [>.............................] - ETA: 2:18 - loss: 262.6507 - logits_profile_predictions_loss: 259.4942 - logcount_predictions_loss: 0.2950 63/1057 [>.............................] - ETA: 2:18 - loss: 262.6541 - logits_profile_predictions_loss: 259.4980 - logcount_predictions_loss: 0.2950 64/1057 [>.............................] - ETA: 2:18 - loss: 262.6616 - logits_profile_predictions_loss: 259.5060 - logcount_predictions_loss: 0.2949 65/1057 [>.............................] - ETA: 2:17 - loss: 262.6612 - logits_profile_predictions_loss: 259.5060 - logcount_predictions_loss: 0.2949 66/1057 [>.............................] - ETA: 2:17 - loss: 262.6613 - logits_profile_predictions_loss: 259.5064 - logcount_predictions_loss: 0.2949 67/1057 [>.............................] - ETA: 2:17 - loss: 262.6639 - logits_profile_predictions_loss: 259.5094 - logcount_predictions_loss: 0.2948 68/1057 [>.............................] - ETA: 2:17 - loss: 262.6627 - logits_profile_predictions_loss: 259.5085 - logcount_predictions_loss: 0.2948 69/1057 [>.............................] - ETA: 2:17 - loss: 262.6557 - logits_profile_predictions_loss: 259.5015 - logcount_predictions_loss: 0.2948 70/1057 [>.............................] - ETA: 2:17 - loss: 262.6475 - logits_profile_predictions_loss: 259.4933 - logcount_predictions_loss: 0.2948 71/1057 [=>............................] - ETA: 2:17 - loss: 262.6392 - logits_profile_predictions_loss: 259.4850 - logcount_predictions_loss: 0.2948 72/1057 [=>............................] - ETA: 2:16 - loss: 262.6317 - logits_profile_predictions_loss: 259.4775 - logcount_predictions_loss: 0.2948 73/1057 [=>............................] - ETA: 2:16 - loss: 262.6261 - logits_profile_predictions_loss: 259.4720 - logcount_predictions_loss: 0.2948 74/1057 [=>............................] - ETA: 2:16 - loss: 262.6261 - logits_profile_predictions_loss: 259.4721 - logcount_predictions_loss: 0.2948 75/1057 [=>............................] - ETA: 2:16 - loss: 262.6280 - logits_profile_predictions_loss: 259.4743 - logcount_predictions_loss: 0.2947 76/1057 [=>............................] - ETA: 2:16 - loss: 262.6271 - logits_profile_predictions_loss: 259.4736 - logcount_predictions_loss: 0.2947 77/1057 [=>............................] - ETA: 2:16 - loss: 262.6256 - logits_profile_predictions_loss: 259.4723 - logcount_predictions_loss: 0.2947 78/1057 [=>............................] - ETA: 2:16 - loss: 262.6182 - logits_profile_predictions_loss: 259.4651 - logcount_predictions_loss: 0.2947 79/1057 [=>............................] - ETA: 2:15 - loss: 262.6140 - logits_profile_predictions_loss: 259.4609 - logcount_predictions_loss: 0.2947 80/1057 [=>............................] - ETA: 2:15 - loss: 262.6105 - logits_profile_predictions_loss: 259.4575 - logcount_predictions_loss: 0.2947 81/1057 [=>............................] - ETA: 2:15 - loss: 262.6074 - logits_profile_predictions_loss: 259.4542 - logcount_predictions_loss: 0.2947 82/1057 [=>............................] - ETA: 2:15 - loss: 262.6047 - logits_profile_predictions_loss: 259.4514 - logcount_predictions_loss: 0.2947 83/1057 [=>............................] - ETA: 2:15 - loss: 262.5982 - logits_profile_predictions_loss: 259.4447 - logcount_predictions_loss: 0.2947 84/1057 [=>............................] - ETA: 2:15 - loss: 262.5911 - logits_profile_predictions_loss: 259.4373 - logcount_predictions_loss: 0.2948 85/1057 [=>............................] - ETA: 2:15 - loss: 262.5844 - logits_profile_predictions_loss: 259.4299 - logcount_predictions_loss: 0.2948 86/1057 [=>............................] - ETA: 2:14 - loss: 262.5793 - logits_profile_predictions_loss: 259.4241 - logcount_predictions_loss: 0.2949 87/1057 [=>............................] - ETA: 2:14 - loss: 262.5751 - logits_profile_predictions_loss: 259.4193 - logcount_predictions_loss: 0.2949 88/1057 [=>............................] - ETA: 2:14 - loss: 262.5676 - logits_profile_predictions_loss: 259.4111 - logcount_predictions_loss: 0.2950 89/1057 [=>............................] - ETA: 2:14 - loss: 262.5593 - logits_profile_predictions_loss: 259.4017 - logcount_predictions_loss: 0.2951 90/1057 [=>............................] - ETA: 2:14 - loss: 262.5525 - logits_profile_predictions_loss: 259.3941 - logcount_predictions_loss: 0.2952 91/1057 [=>............................] - ETA: 2:14 - loss: 262.5449 - logits_profile_predictions_loss: 259.3857 - logcount_predictions_loss: 0.2953 92/1057 [=>............................] - ETA: 2:14 - loss: 262.5369 - logits_profile_predictions_loss: 259.3769 - logcount_predictions_loss: 0.2953 93/1057 [=>............................] - ETA: 2:13 - loss: 262.5323 - logits_profile_predictions_loss: 259.3714 - logcount_predictions_loss: 0.2954 94/1057 [=>............................] - ETA: 2:13 - loss: 262.5270 - logits_profile_predictions_loss: 259.3650 - logcount_predictions_loss: 0.2955 95/1057 [=>............................] - ETA: 2:13 - loss: 262.5187 - logits_profile_predictions_loss: 259.3557 - logcount_predictions_loss: 0.2956 96/1057 [=>............................] - ETA: 2:13 - loss: 262.5116 - logits_profile_predictions_loss: 259.3478 - logcount_predictions_loss: 0.2957 97/1057 [=>............................] - ETA: 2:13 - loss: 262.5049 - logits_profile_predictions_loss: 259.3402 - logcount_predictions_loss: 0.2958 98/1057 [=>............................] - ETA: 2:13 - loss: 262.4970 - logits_profile_predictions_loss: 259.3314 - logcount_predictions_loss: 0.2959 99/1057 [=>............................] - ETA: 2:13 - loss: 262.4861 - logits_profile_predictions_loss: 259.3197 - logcount_predictions_loss: 0.2959 100/1057 [=>............................] - ETA: 2:12 - loss: 262.4745 - logits_profile_predictions_loss: 259.3071 - logcount_predictions_loss: 0.2960 101/1057 [=>............................] - ETA: 2:12 - loss: 262.4636 - logits_profile_predictions_loss: 259.2953 - logcount_predictions_loss: 0.2961 102/1057 [=>............................] - ETA: 2:12 - loss: 262.4528 - logits_profile_predictions_loss: 259.2835 - logcount_predictions_loss: 0.2962 103/1057 [=>............................] - ETA: 2:12 - loss: 262.4419 - logits_profile_predictions_loss: 259.2716 - logcount_predictions_loss: 0.2963 104/1057 [=>............................] - ETA: 2:12 - loss: 262.4299 - logits_profile_predictions_loss: 259.2587 - logcount_predictions_loss: 0.2964 105/1057 [=>............................] - ETA: 2:12 - loss: 262.4176 - logits_profile_predictions_loss: 259.2454 - logcount_predictions_loss: 0.2965 106/1057 [==>...........................] - ETA: 2:12 - loss: 262.4022 - logits_profile_predictions_loss: 259.2292 - logcount_predictions_loss: 0.2965 107/1057 [==>...........................] - ETA: 2:11 - loss: 262.3873 - logits_profile_predictions_loss: 259.2133 - logcount_predictions_loss: 0.2966 108/1057 [==>...........................] - ETA: 2:11 - loss: 262.3718 - logits_profile_predictions_loss: 259.1968 - logcount_predictions_loss: 0.2967 109/1057 [==>...........................] - ETA: 2:11 - loss: 262.3576 - logits_profile_predictions_loss: 259.1816 - logcount_predictions_loss: 0.2968 110/1057 [==>...........................] - ETA: 2:11 - loss: 262.3426 - logits_profile_predictions_loss: 259.1657 - logcount_predictions_loss: 0.2969 111/1057 [==>...........................] - ETA: 2:11 - loss: 262.3269 - logits_profile_predictions_loss: 259.1492 - logcount_predictions_loss: 0.2970 112/1057 [==>...........................] - ETA: 2:11 - loss: 262.3108 - logits_profile_predictions_loss: 259.1324 - logcount_predictions_loss: 0.2971 113/1057 [==>...........................] - ETA: 2:11 - loss: 262.2937 - logits_profile_predictions_loss: 259.1145 - logcount_predictions_loss: 0.2971 114/1057 [==>...........................] - ETA: 2:11 - loss: 262.2782 - logits_profile_predictions_loss: 259.0983 - logcount_predictions_loss: 0.2972 115/1057 [==>...........................] - ETA: 2:10 - loss: 262.2640 - logits_profile_predictions_loss: 259.0834 - logcount_predictions_loss: 0.2973 116/1057 [==>...........................] - ETA: 2:10 - loss: 262.2489 - logits_profile_predictions_loss: 259.0675 - logcount_predictions_loss: 0.2973 117/1057 [==>...........................] - ETA: 2:10 - loss: 262.2333 - logits_profile_predictions_loss: 259.0512 - logcount_predictions_loss: 0.2974 118/1057 [==>...........................] - ETA: 2:10 - loss: 262.2173 - logits_profile_predictions_loss: 259.0344 - logcount_predictions_loss: 0.2975 119/1057 [==>...........................] - ETA: 2:10 - loss: 262.2039 - logits_profile_predictions_loss: 259.0202 - logcount_predictions_loss: 0.2975 120/1057 [==>...........................] - ETA: 2:10 - loss: 262.1918 - logits_profile_predictions_loss: 259.0074 - logcount_predictions_loss: 0.2976 121/1057 [==>...........................] - ETA: 2:10 - loss: 262.1806 - logits_profile_predictions_loss: 258.9955 - logcount_predictions_loss: 0.2977 122/1057 [==>...........................] - ETA: 2:09 - loss: 262.1671 - logits_profile_predictions_loss: 258.9812 - logcount_predictions_loss: 0.2978 123/1057 [==>...........................] - ETA: 2:09 - loss: 262.1547 - logits_profile_predictions_loss: 258.9680 - logcount_predictions_loss: 0.2978 124/1057 [==>...........................] - ETA: 2:09 - loss: 262.1424 - logits_profile_predictions_loss: 258.9550 - logcount_predictions_loss: 0.2979 125/1057 [==>...........................] - ETA: 2:09 - loss: 262.1300 - logits_profile_predictions_loss: 258.9420 - logcount_predictions_loss: 0.2980 126/1057 [==>...........................] - ETA: 2:09 - loss: 262.1179 - logits_profile_predictions_loss: 258.9292 - logcount_predictions_loss: 0.2980 127/1057 [==>...........................] - ETA: 2:09 - loss: 262.1070 - logits_profile_predictions_loss: 258.9176 - logcount_predictions_loss: 0.2981 128/1057 [==>...........................] - ETA: 2:09 - loss: 262.0963 - logits_profile_predictions_loss: 258.9063 - logcount_predictions_loss: 0.2981 129/1057 [==>...........................] - ETA: 2:08 - loss: 262.0864 - logits_profile_predictions_loss: 258.8959 - logcount_predictions_loss: 0.2982 130/1057 [==>...........................] - ETA: 2:08 - loss: 262.0762 - logits_profile_predictions_loss: 258.8851 - logcount_predictions_loss: 0.2982 131/1057 [==>...........................] - ETA: 2:08 - loss: 262.0668 - logits_profile_predictions_loss: 258.8752 - logcount_predictions_loss: 0.2983 132/1057 [==>...........................] - ETA: 2:08 - loss: 262.0569 - logits_profile_predictions_loss: 258.8649 - logcount_predictions_loss: 0.2983 133/1057 [==>...........................] - ETA: 2:08 - loss: 262.0458 - logits_profile_predictions_loss: 258.8532 - logcount_predictions_loss: 0.2984 134/1057 [==>...........................] - ETA: 2:08 - loss: 262.0357 - logits_profile_predictions_loss: 258.8427 - logcount_predictions_loss: 0.2984 135/1057 [==>...........................] - ETA: 2:08 - loss: 262.0267 - logits_profile_predictions_loss: 258.8333 - logcount_predictions_loss: 0.2985 136/1057 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[====>.........................] - ETA: 1:58 - loss: 261.7834 - logits_profile_predictions_loss: 258.5517 - logcount_predictions_loss: 0.3020 203/1057 [====>.........................] - ETA: 1:58 - loss: 261.7810 - logits_profile_predictions_loss: 258.5488 - logcount_predictions_loss: 0.3021 204/1057 [====>.........................] - ETA: 1:57 - loss: 261.7786 - logits_profile_predictions_loss: 258.5460 - logcount_predictions_loss: 0.3021 205/1057 [====>.........................] - ETA: 1:57 - loss: 261.7761 - logits_profile_predictions_loss: 258.5429 - logcount_predictions_loss: 0.3022 206/1057 [====>.........................] - ETA: 1:57 - loss: 261.7738 - logits_profile_predictions_loss: 258.5402 - logcount_predictions_loss: 0.3022 207/1057 [====>.........................] - ETA: 1:57 - loss: 261.7718 - logits_profile_predictions_loss: 258.5378 - logcount_predictions_loss: 0.3023 208/1057 [====>.........................] - ETA: 1:57 - loss: 261.7696 - 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[=====>........................] - ETA: 1:54 - loss: 261.7430 - logits_profile_predictions_loss: 258.5009 - logcount_predictions_loss: 0.3030 229/1057 [=====>........................] - ETA: 1:54 - loss: 261.7432 - logits_profile_predictions_loss: 258.5008 - logcount_predictions_loss: 0.3030 230/1057 [=====>........................] - ETA: 1:54 - loss: 261.7436 - logits_profile_predictions_loss: 258.5009 - logcount_predictions_loss: 0.3031 231/1057 [=====>........................] - ETA: 1:54 - loss: 261.7444 - logits_profile_predictions_loss: 258.5013 - logcount_predictions_loss: 0.3031 232/1057 [=====>........................] - ETA: 1:54 - loss: 261.7452 - logits_profile_predictions_loss: 258.5017 - logcount_predictions_loss: 0.3031 233/1057 [=====>........................] - ETA: 1:54 - loss: 261.7464 - logits_profile_predictions_loss: 258.5026 - logcount_predictions_loss: 0.3032 234/1057 [=====>........................] - ETA: 1:53 - loss: 261.7477 - 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[=====>........................] - ETA: 1:52 - loss: 261.7520 - logits_profile_predictions_loss: 258.5054 - logcount_predictions_loss: 0.3034 242/1057 [=====>........................] - ETA: 1:52 - loss: 261.7521 - logits_profile_predictions_loss: 258.5053 - logcount_predictions_loss: 0.3035 243/1057 [=====>........................] - ETA: 1:52 - loss: 261.7523 - logits_profile_predictions_loss: 258.5051 - logcount_predictions_loss: 0.3035 244/1057 [=====>........................] - ETA: 1:52 - loss: 261.7527 - logits_profile_predictions_loss: 258.5052 - logcount_predictions_loss: 0.3035 245/1057 [=====>........................] - ETA: 1:52 - loss: 261.7531 - logits_profile_predictions_loss: 258.5053 - logcount_predictions_loss: 0.3035 246/1057 [=====>........................] - ETA: 1:52 - loss: 261.7537 - logits_profile_predictions_loss: 258.5056 - logcount_predictions_loss: 0.3036 247/1057 [======>.......................] - ETA: 1:52 - loss: 261.7544 - 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[======>.......................] - ETA: 1:51 - loss: 261.7644 - logits_profile_predictions_loss: 258.5142 - logcount_predictions_loss: 0.3038 255/1057 [======>.......................] - ETA: 1:51 - loss: 261.7666 - logits_profile_predictions_loss: 258.5161 - logcount_predictions_loss: 0.3038 256/1057 [======>.......................] - ETA: 1:50 - loss: 261.7685 - logits_profile_predictions_loss: 258.5179 - logcount_predictions_loss: 0.3038 257/1057 [======>.......................] - ETA: 1:50 - loss: 261.7704 - logits_profile_predictions_loss: 258.5196 - logcount_predictions_loss: 0.3038 258/1057 [======>.......................] - ETA: 1:50 - loss: 261.7722 - logits_profile_predictions_loss: 258.5212 - logcount_predictions_loss: 0.3038 259/1057 [======>.......................] - ETA: 1:50 - loss: 261.7741 - logits_profile_predictions_loss: 258.5229 - logcount_predictions_loss: 0.3039 260/1057 [======>.......................] - ETA: 1:50 - loss: 261.7758 - 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[==>...........................] - ETA: 2:10 - loss: 263.3304 - logits_profile_predictions_loss: 260.4475 - logcount_predictions_loss: 0.2694 121/1057 [==>...........................] - ETA: 2:09 - loss: 263.3177 - logits_profile_predictions_loss: 260.4350 - logcount_predictions_loss: 0.2694 122/1057 [==>...........................] - ETA: 2:09 - loss: 263.3056 - logits_profile_predictions_loss: 260.4233 - logcount_predictions_loss: 0.2694 123/1057 [==>...........................] - ETA: 2:09 - loss: 263.2922 - logits_profile_predictions_loss: 260.4102 - logcount_predictions_loss: 0.2694 124/1057 [==>...........................] - ETA: 2:09 - loss: 263.2800 - logits_profile_predictions_loss: 260.3982 - logcount_predictions_loss: 0.2693 125/1057 [==>...........................] - ETA: 2:09 - loss: 263.2674 - logits_profile_predictions_loss: 260.3860 - logcount_predictions_loss: 0.2693 126/1057 [==>...........................] - ETA: 2:09 - loss: 263.2548 - logits_profile_predictions_loss: 260.3737 - logcount_predictions_loss: 0.2693 127/1057 [==>...........................] - ETA: 2:09 - loss: 263.2420 - logits_profile_predictions_loss: 260.3612 - logcount_predictions_loss: 0.2692 128/1057 [==>...........................] - ETA: 2:08 - loss: 263.2304 - logits_profile_predictions_loss: 260.3500 - logcount_predictions_loss: 0.2692 129/1057 [==>...........................] - ETA: 2:08 - loss: 263.2200 - logits_profile_predictions_loss: 260.3399 - logcount_predictions_loss: 0.2692 130/1057 [==>...........................] - ETA: 2:08 - loss: 263.2096 - logits_profile_predictions_loss: 260.3297 - logcount_predictions_loss: 0.2692 131/1057 [==>...........................] - ETA: 2:08 - loss: 263.1967 - logits_profile_predictions_loss: 260.3171 - logcount_predictions_loss: 0.2691 132/1057 [==>...........................] - ETA: 2:08 - loss: 263.1831 - logits_profile_predictions_loss: 260.3039 - logcount_predictions_loss: 0.2691 133/1057 [==>...........................] - ETA: 2:08 - loss: 263.1693 - logits_profile_predictions_loss: 260.2903 - logcount_predictions_loss: 0.2691 134/1057 [==>...........................] - ETA: 2:08 - loss: 263.1556 - logits_profile_predictions_loss: 260.2769 - logcount_predictions_loss: 0.2690 135/1057 [==>...........................] - ETA: 2:08 - loss: 263.1412 - logits_profile_predictions_loss: 260.2629 - logcount_predictions_loss: 0.2690 136/1057 [==>...........................] - ETA: 2:07 - loss: 263.1274 - logits_profile_predictions_loss: 260.2493 - logcount_predictions_loss: 0.2690 137/1057 [==>...........................] - ETA: 2:07 - loss: 263.1142 - logits_profile_predictions_loss: 260.2364 - logcount_predictions_loss: 0.2690 138/1057 [==>...........................] - ETA: 2:07 - loss: 263.1009 - logits_profile_predictions_loss: 260.2233 - logcount_predictions_loss: 0.2689 139/1057 [==>...........................] - ETA: 2:07 - loss: 263.0877 - 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[===>..........................] - ETA: 2:06 - loss: 262.9991 - logits_profile_predictions_loss: 260.1237 - logcount_predictions_loss: 0.2687 147/1057 [===>..........................] - ETA: 2:06 - loss: 262.9850 - logits_profile_predictions_loss: 260.1099 - logcount_predictions_loss: 0.2687 148/1057 [===>..........................] - ETA: 2:06 - loss: 262.9719 - logits_profile_predictions_loss: 260.0971 - logcount_predictions_loss: 0.2687 149/1057 [===>..........................] - ETA: 2:06 - loss: 262.9588 - logits_profile_predictions_loss: 260.0843 - logcount_predictions_loss: 0.2687 150/1057 [===>..........................] - ETA: 2:05 - loss: 262.9459 - logits_profile_predictions_loss: 260.0717 - logcount_predictions_loss: 0.2686 151/1057 [===>..........................] - ETA: 2:05 - loss: 262.9346 - logits_profile_predictions_loss: 260.0606 - logcount_predictions_loss: 0.2686 152/1057 [===>..........................] - ETA: 2:05 - loss: 262.9231 - 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[===>..........................] - ETA: 2:04 - loss: 262.8263 - logits_profile_predictions_loss: 259.9538 - logcount_predictions_loss: 0.2685 160/1057 [===>..........................] - ETA: 2:04 - loss: 262.8115 - logits_profile_predictions_loss: 259.9392 - logcount_predictions_loss: 0.2684 161/1057 [===>..........................] - ETA: 2:04 - loss: 262.7964 - logits_profile_predictions_loss: 259.9243 - logcount_predictions_loss: 0.2684 162/1057 [===>..........................] - ETA: 2:04 - loss: 262.7811 - logits_profile_predictions_loss: 259.9091 - logcount_predictions_loss: 0.2684 163/1057 [===>..........................] - ETA: 2:04 - loss: 262.7659 - logits_profile_predictions_loss: 259.8941 - logcount_predictions_loss: 0.2684 164/1057 [===>..........................] - ETA: 2:03 - loss: 262.7503 - logits_profile_predictions_loss: 259.8787 - logcount_predictions_loss: 0.2684 165/1057 [===>..........................] - ETA: 2:03 - loss: 262.7350 - 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[====>.........................] - ETA: 2:01 - loss: 262.4780 - logits_profile_predictions_loss: 259.6102 - logcount_predictions_loss: 0.2680 186/1057 [====>.........................] - ETA: 2:00 - loss: 262.4676 - logits_profile_predictions_loss: 259.6000 - logcount_predictions_loss: 0.2680 187/1057 [====>.........................] - ETA: 2:00 - loss: 262.4569 - logits_profile_predictions_loss: 259.5896 - logcount_predictions_loss: 0.2680 188/1057 [====>.........................] - ETA: 2:00 - loss: 262.4463 - logits_profile_predictions_loss: 259.5791 - logcount_predictions_loss: 0.2680 189/1057 [====>.........................] - ETA: 2:00 - loss: 262.4352 - logits_profile_predictions_loss: 259.5683 - logcount_predictions_loss: 0.2679 190/1057 [====>.........................] - ETA: 2:00 - loss: 262.4246 - logits_profile_predictions_loss: 259.5579 - logcount_predictions_loss: 0.2679 191/1057 [====>.........................] - ETA: 2:00 - loss: 262.4144 - 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[====>.........................] - ETA: 1:59 - loss: 262.3434 - logits_profile_predictions_loss: 259.4784 - logcount_predictions_loss: 0.2678 199/1057 [====>.........................] - ETA: 1:59 - loss: 262.3345 - logits_profile_predictions_loss: 259.4696 - logcount_predictions_loss: 0.2678 200/1057 [====>.........................] - ETA: 1:58 - loss: 262.3256 - logits_profile_predictions_loss: 259.4609 - logcount_predictions_loss: 0.2677 201/1057 [====>.........................] - ETA: 1:58 - loss: 262.3168 - logits_profile_predictions_loss: 259.4523 - logcount_predictions_loss: 0.2677 202/1057 [====>.........................] - ETA: 1:58 - loss: 262.3072 - logits_profile_predictions_loss: 259.4429 - logcount_predictions_loss: 0.2677 203/1057 [====>.........................] - ETA: 1:58 - loss: 262.2981 - logits_profile_predictions_loss: 259.4340 - logcount_predictions_loss: 0.2677 204/1057 [====>.........................] - ETA: 1:58 - loss: 262.2891 - 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[===>..........................] - ETA: 2:05 - loss: 254.1064 - logits_profile_predictions_loss: 251.4072 - logcount_predictions_loss: 0.2523 157/1057 [===>..........................] - ETA: 2:04 - loss: 254.1150 - logits_profile_predictions_loss: 251.4156 - logcount_predictions_loss: 0.2523 158/1057 [===>..........................] - ETA: 2:04 - loss: 254.1235 - logits_profile_predictions_loss: 251.4238 - logcount_predictions_loss: 0.2523 159/1057 [===>..........................] - ETA: 2:04 - loss: 254.1307 - logits_profile_predictions_loss: 251.4307 - logcount_predictions_loss: 0.2523 160/1057 [===>..........................] - ETA: 2:04 - loss: 254.1375 - logits_profile_predictions_loss: 251.4373 - logcount_predictions_loss: 0.2524 161/1057 [===>..........................] - ETA: 2:04 - loss: 254.1436 - logits_profile_predictions_loss: 251.4431 - logcount_predictions_loss: 0.2524 162/1057 [===>..........................] - ETA: 2:04 - loss: 254.1491 - 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[====>.........................] - ETA: 2:01 - loss: 254.3263 - logits_profile_predictions_loss: 251.6221 - logcount_predictions_loss: 0.2527 183/1057 [====>.........................] - ETA: 2:01 - loss: 254.3363 - logits_profile_predictions_loss: 251.6320 - logcount_predictions_loss: 0.2527 184/1057 [====>.........................] - ETA: 2:01 - loss: 254.3464 - logits_profile_predictions_loss: 251.6419 - logcount_predictions_loss: 0.2528 185/1057 [====>.........................] - ETA: 2:01 - loss: 254.3567 - logits_profile_predictions_loss: 251.6522 - logcount_predictions_loss: 0.2528 186/1057 [====>.........................] - ETA: 2:00 - loss: 254.3670 - logits_profile_predictions_loss: 251.6623 - logcount_predictions_loss: 0.2528 187/1057 [====>.........................] - ETA: 2:00 - loss: 254.3776 - logits_profile_predictions_loss: 251.6728 - logcount_predictions_loss: 0.2528 188/1057 [====>.........................] - ETA: 2:00 - loss: 254.3885 - 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[====>.........................] - ETA: 1:59 - loss: 254.4619 - logits_profile_predictions_loss: 251.7566 - logcount_predictions_loss: 0.2528 196/1057 [====>.........................] - ETA: 1:59 - loss: 254.4719 - logits_profile_predictions_loss: 251.7665 - logcount_predictions_loss: 0.2528 197/1057 [====>.........................] - ETA: 1:59 - loss: 254.4813 - logits_profile_predictions_loss: 251.7758 - logcount_predictions_loss: 0.2529 198/1057 [====>.........................] - ETA: 1:59 - loss: 254.4905 - logits_profile_predictions_loss: 251.7850 - logcount_predictions_loss: 0.2529 199/1057 [====>.........................] - ETA: 1:59 - loss: 254.4996 - logits_profile_predictions_loss: 251.7941 - logcount_predictions_loss: 0.2529 200/1057 [====>.........................] - ETA: 1:59 - loss: 254.5085 - logits_profile_predictions_loss: 251.8029 - logcount_predictions_loss: 0.2529 201/1057 [====>.........................] - ETA: 1:58 - loss: 254.5165 - 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[====>.........................] - ETA: 1:57 - loss: 254.5722 - logits_profile_predictions_loss: 251.8663 - logcount_predictions_loss: 0.2529 209/1057 [====>.........................] - ETA: 1:57 - loss: 254.5798 - logits_profile_predictions_loss: 251.8739 - logcount_predictions_loss: 0.2529 210/1057 [====>.........................] - ETA: 1:57 - loss: 254.5885 - logits_profile_predictions_loss: 251.8826 - logcount_predictions_loss: 0.2529 211/1057 [====>.........................] - ETA: 1:57 - loss: 254.5970 - logits_profile_predictions_loss: 251.8910 - logcount_predictions_loss: 0.2529 212/1057 [=====>........................] - ETA: 1:57 - loss: 254.6059 - logits_profile_predictions_loss: 251.8998 - logcount_predictions_loss: 0.2529 213/1057 [=====>........................] - ETA: 1:57 - loss: 254.6146 - logits_profile_predictions_loss: 251.9084 - logcount_predictions_loss: 0.2529 214/1057 [=====>........................] - ETA: 1:57 - loss: 254.6232 - 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[=====>........................] - ETA: 1:56 - loss: 254.6806 - logits_profile_predictions_loss: 251.9738 - logcount_predictions_loss: 0.2530 222/1057 [=====>........................] - ETA: 1:55 - loss: 254.6893 - logits_profile_predictions_loss: 251.9825 - logcount_predictions_loss: 0.2530 223/1057 [=====>........................] - ETA: 1:55 - loss: 254.6982 - logits_profile_predictions_loss: 251.9913 - logcount_predictions_loss: 0.2530 224/1057 [=====>........................] - ETA: 1:55 - loss: 254.7074 - logits_profile_predictions_loss: 252.0003 - logcount_predictions_loss: 0.2530 225/1057 [=====>........................] - ETA: 1:55 - loss: 254.7168 - logits_profile_predictions_loss: 252.0096 - logcount_predictions_loss: 0.2530 226/1057 [=====>........................] - ETA: 1:55 - loss: 254.7260 - logits_profile_predictions_loss: 252.0186 - logcount_predictions_loss: 0.2530 227/1057 [=====>........................] - ETA: 1:55 - loss: 254.7351 - 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[=====>........................] - ETA: 1:54 - loss: 254.7971 - logits_profile_predictions_loss: 252.0886 - logcount_predictions_loss: 0.2531 235/1057 [=====>........................] - ETA: 1:54 - loss: 254.8064 - logits_profile_predictions_loss: 252.0978 - logcount_predictions_loss: 0.2531 236/1057 [=====>........................] - ETA: 1:54 - loss: 254.8157 - logits_profile_predictions_loss: 252.1070 - logcount_predictions_loss: 0.2532 237/1057 [=====>........................] - ETA: 1:53 - loss: 254.8246 - logits_profile_predictions_loss: 252.1157 - logcount_predictions_loss: 0.2532 238/1057 [=====>........................] - ETA: 1:53 - loss: 254.8333 - logits_profile_predictions_loss: 252.1243 - logcount_predictions_loss: 0.2532 239/1057 [=====>........................] - ETA: 1:53 - loss: 254.8419 - logits_profile_predictions_loss: 252.1328 - logcount_predictions_loss: 0.2532 240/1057 [=====>........................] - ETA: 1:53 - loss: 254.8505 - 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[======>.......................] - ETA: 1:52 - loss: 254.9114 - logits_profile_predictions_loss: 252.2013 - logcount_predictions_loss: 0.2533 248/1057 [======>.......................] - ETA: 1:52 - loss: 254.9195 - logits_profile_predictions_loss: 252.2094 - logcount_predictions_loss: 0.2533 249/1057 [======>.......................] - ETA: 1:52 - loss: 254.9279 - logits_profile_predictions_loss: 252.2176 - logcount_predictions_loss: 0.2533 250/1057 [======>.......................] - ETA: 1:52 - loss: 254.9361 - logits_profile_predictions_loss: 252.2257 - logcount_predictions_loss: 0.2533 251/1057 [======>.......................] - ETA: 1:51 - loss: 254.9442 - logits_profile_predictions_loss: 252.2337 - logcount_predictions_loss: 0.2533 252/1057 [======>.......................] - ETA: 1:51 - loss: 254.9521 - logits_profile_predictions_loss: 252.2415 - logcount_predictions_loss: 0.2533 253/1057 [======>.......................] - ETA: 1:51 - loss: 254.9600 - 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[======>.......................] - ETA: 1:50 - loss: 255.0123 - logits_profile_predictions_loss: 252.3011 - logcount_predictions_loss: 0.2534 261/1057 [======>.......................] - ETA: 1:50 - loss: 255.0194 - logits_profile_predictions_loss: 252.3081 - logcount_predictions_loss: 0.2534 262/1057 [======>.......................] - ETA: 1:50 - loss: 255.0265 - logits_profile_predictions_loss: 252.3151 - logcount_predictions_loss: 0.2534 263/1057 [======>.......................] - ETA: 1:50 - loss: 255.0333 - logits_profile_predictions_loss: 252.3218 - logcount_predictions_loss: 0.2534 264/1057 [======>.......................] - ETA: 1:50 - loss: 255.0400 - logits_profile_predictions_loss: 252.3284 - logcount_predictions_loss: 0.2534 265/1057 [======>.......................] - ETA: 1:49 - loss: 255.0464 - logits_profile_predictions_loss: 252.3348 - logcount_predictions_loss: 0.2534 266/1057 [======>.......................] - ETA: 1:49 - loss: 255.0530 - 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[======>.......................] - ETA: 1:48 - loss: 255.0956 - logits_profile_predictions_loss: 252.3836 - logcount_predictions_loss: 0.2535 274/1057 [======>.......................] - ETA: 1:48 - loss: 255.1012 - logits_profile_predictions_loss: 252.3892 - logcount_predictions_loss: 0.2535 275/1057 [======>.......................] - ETA: 1:48 - loss: 255.1069 - logits_profile_predictions_loss: 252.3947 - logcount_predictions_loss: 0.2535 276/1057 [======>.......................] - ETA: 1:48 - loss: 255.1124 - logits_profile_predictions_loss: 252.4002 - logcount_predictions_loss: 0.2535 277/1057 [======>.......................] - ETA: 1:48 - loss: 255.1179 - logits_profile_predictions_loss: 252.4057 - logcount_predictions_loss: 0.2535 278/1057 [======>.......................] - ETA: 1:48 - loss: 255.1231 - logits_profile_predictions_loss: 252.4108 - logcount_predictions_loss: 0.2535 279/1057 [======>.......................] - ETA: 1:48 - loss: 255.1285 - 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[===========================>..] - ETA: 6s - loss: 256.7326 - logits_profile_predictions_loss: 254.0155 - logcount_predictions_loss: 0.2539 1009/1057 [===========================>..] - ETA: 6s - loss: 256.7335 - logits_profile_predictions_loss: 254.0164 - logcount_predictions_loss: 0.2539 1010/1057 [===========================>..] - ETA: 6s - loss: 256.7343 - logits_profile_predictions_loss: 254.0172 - logcount_predictions_loss: 0.2539 1011/1057 [===========================>..] - ETA: 6s - loss: 256.7352 - logits_profile_predictions_loss: 254.0181 - logcount_predictions_loss: 0.2539 1012/1057 [===========================>..] - ETA: 6s - loss: 256.7360 - logits_profile_predictions_loss: 254.0189 - logcount_predictions_loss: 0.2539 1013/1057 [===========================>..] - ETA: 6s - loss: 256.7368 - logits_profile_predictions_loss: 254.0198 - logcount_predictions_loss: 0.2539 1014/1057 [===========================>..] - ETA: 5s - loss: 256.7377 - logits_profile_predictions_loss: 254.0206 - logcount_predictions_loss: 0.2539 1015/1057 [===========================>..] - ETA: 5s - loss: 256.7385 - logits_profile_predictions_loss: 254.0215 - logcount_predictions_loss: 0.2539 1016/1057 [===========================>..] - ETA: 5s - loss: 256.7393 - logits_profile_predictions_loss: 254.0223 - logcount_predictions_loss: 0.2539 1017/1057 [===========================>..] - ETA: 5s - loss: 256.7401 - logits_profile_predictions_loss: 254.0231 - logcount_predictions_loss: 0.2539 1018/1057 [===========================>..] - ETA: 5s - loss: 256.7409 - logits_profile_predictions_loss: 254.0239 - logcount_predictions_loss: 0.2539 1019/1057 [===========================>..] - ETA: 5s - loss: 256.7417 - logits_profile_predictions_loss: 254.0248 - logcount_predictions_loss: 0.2539 1020/1057 [===========================>..] - ETA: 5s - loss: 256.7426 - logits_profile_predictions_loss: 254.0256 - logcount_predictions_loss: 0.2539 1021/1057 [===========================>..] - ETA: 4s - loss: 256.7434 - logits_profile_predictions_loss: 254.0264 - logcount_predictions_loss: 0.2539 1022/1057 [============================>.] - ETA: 4s - loss: 256.7442 - logits_profile_predictions_loss: 254.0273 - logcount_predictions_loss: 0.2539 1023/1057 [============================>.] - ETA: 4s - loss: 256.7450 - logits_profile_predictions_loss: 254.0281 - logcount_predictions_loss: 0.2539 1024/1057 [============================>.] - ETA: 4s - loss: 256.7458 - logits_profile_predictions_loss: 254.0289 - logcount_predictions_loss: 0.2539 1025/1057 [============================>.] - ETA: 4s - loss: 256.7466 - logits_profile_predictions_loss: 254.0297 - logcount_predictions_loss: 0.2539 1026/1057 [============================>.] - ETA: 4s - loss: 256.7473 - logits_profile_predictions_loss: 254.0305 - logcount_predictions_loss: 0.2539 1027/1057 [============================>.] - ETA: 4s - loss: 256.7482 - logits_profile_predictions_loss: 254.0313 - logcount_predictions_loss: 0.2539 1028/1057 [============================>.] - ETA: 4s - loss: 256.7489 - logits_profile_predictions_loss: 254.0321 - logcount_predictions_loss: 0.2539 1029/1057 [============================>.] - ETA: 3s - loss: 256.7497 - logits_profile_predictions_loss: 254.0329 - logcount_predictions_loss: 0.2539 1030/1057 [============================>.] - ETA: 3s - loss: 256.7506 - logits_profile_predictions_loss: 254.0337 - logcount_predictions_loss: 0.2539 1031/1057 [============================>.] - ETA: 3s - loss: 256.7514 - logits_profile_predictions_loss: 254.0345 - logcount_predictions_loss: 0.2539 1032/1057 [============================>.] - ETA: 3s - loss: 256.7522 - logits_profile_predictions_loss: 254.0354 - logcount_predictions_loss: 0.2539 1033/1057 [============================>.] - ETA: 3s - loss: 256.7530 - logits_profile_predictions_loss: 254.0362 - logcount_predictions_loss: 0.2539 1034/1057 [============================>.] - ETA: 3s - loss: 256.7538 - logits_profile_predictions_loss: 254.0370 - logcount_predictions_loss: 0.2539 1035/1057 [============================>.] - ETA: 3s - loss: 256.7546 - logits_profile_predictions_loss: 254.0378 - logcount_predictions_loss: 0.2539 1036/1057 [============================>.] - ETA: 2s - loss: 256.7554 - logits_profile_predictions_loss: 254.0387 - logcount_predictions_loss: 0.2539 1037/1057 [============================>.] - ETA: 2s - loss: 256.7563 - logits_profile_predictions_loss: 254.0395 - logcount_predictions_loss: 0.2539 1038/1057 [============================>.] - ETA: 2s - loss: 256.7571 - logits_profile_predictions_loss: 254.0404 - logcount_predictions_loss: 0.2539 1039/1057 [============================>.] - ETA: 2s - loss: 256.7580 - logits_profile_predictions_loss: 254.0412 - logcount_predictions_loss: 0.2539 1040/1057 [============================>.] - ETA: 2s - loss: 256.7588 - logits_profile_predictions_loss: 254.0421 - logcount_predictions_loss: 0.2539 1041/1057 [============================>.] - ETA: 2s - loss: 256.7596 - logits_profile_predictions_loss: 254.0429 - logcount_predictions_loss: 0.2539 1042/1057 [============================>.] - ETA: 2s - loss: 256.7605 - logits_profile_predictions_loss: 254.0438 - logcount_predictions_loss: 0.2539 1043/1057 [============================>.] - ETA: 1s - loss: 256.7613 - logits_profile_predictions_loss: 254.0446 - logcount_predictions_loss: 0.2539 1044/1057 [============================>.] - ETA: 1s - loss: 256.7621 - logits_profile_predictions_loss: 254.0454 - logcount_predictions_loss: 0.2539 1045/1057 [============================>.] - ETA: 1s - loss: 256.7630 - logits_profile_predictions_loss: 254.0463 - logcount_predictions_loss: 0.2539 1046/1057 [============================>.] - ETA: 1s - loss: 256.7638 - logits_profile_predictions_loss: 254.0471 - logcount_predictions_loss: 0.2539 1047/1057 [============================>.] - ETA: 1s - loss: 256.7646 - logits_profile_predictions_loss: 254.0479 - logcount_predictions_loss: 0.2539 1048/1057 [============================>.] - ETA: 1s - loss: 256.7654 - logits_profile_predictions_loss: 254.0488 - logcount_predictions_loss: 0.2539 1049/1057 [============================>.] - ETA: 1s - loss: 256.7662 - logits_profile_predictions_loss: 254.0496 - logcount_predictions_loss: 0.2539 1050/1057 [============================>.] - ETA: 0s - loss: 256.7671 - logits_profile_predictions_loss: 254.0504 - logcount_predictions_loss: 0.2539 1051/1057 [============================>.] - ETA: 0s - loss: 256.7679 - logits_profile_predictions_loss: 254.0513 - logcount_predictions_loss: 0.2539 1052/1057 [============================>.] - ETA: 0s - loss: 256.7687 - logits_profile_predictions_loss: 254.0521 - logcount_predictions_loss: 0.2539 1053/1057 [============================>.] - ETA: 0s - loss: 256.7695 - logits_profile_predictions_loss: 254.0529 - logcount_predictions_loss: 0.2539 1054/1057 [============================>.] - ETA: 0s - loss: 256.7703 - logits_profile_predictions_loss: 254.0537 - logcount_predictions_loss: 0.2539 1055/1057 [============================>.] - ETA: 0s - loss: 256.7712 - logits_profile_predictions_loss: 254.0546 - logcount_predictions_loss: 0.2539 1056/1057 [============================>.] - ETA: 0s - loss: 256.7720 - logits_profile_predictions_loss: 254.0554 - logcount_predictions_loss: 0.2539 1057/1057 [==============================] - ETA: 0s - loss: 256.7728 - logits_profile_predictions_loss: 254.0563 - logcount_predictions_loss: 0.2539 1057/1057 [==============================] - 156s 147ms/step - loss: 256.7736 - logits_profile_predictions_loss: 254.0571 - logcount_predictions_loss: 0.2539 - val_loss: 293.5634 - val_logits_profile_predictions_loss: 290.1064 - val_logcount_predictions_loss: 0.3231 + +Epoch 00010: val_loss did not improve from 291.52222 +Restoring model weights from the end of the best epoch. +Epoch 00010: early stopping +save model +save model without bias +2022-09-22_05-48-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(18309, 10) +loading nonpeaks... +got split:test for bed regions:(17413, 10) +0/140 +100/140 +2022-09-22_05-49-45: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(18309, 10) +loading nonpeaks... +got split:test for bed regions:(17413, 10) +0/140 +100/140 +2022-09-22_05-51-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(18309, 10) +loading nonpeaks... +got split:test for bed regions:(17413, 10) +0/140 +100/140 +2022-09-22_05-51-54: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_05-51-54: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 1:39 3/18 [====>.........................] - ETA: 4s  4/18 [=====>........................] - ETA: 5s 5/18 [=======>......................] - ETA: 6s 6/18 [=========>....................] - ETA: 6s 7/18 [==========>...................] - ETA: 5s 8/18 [============>.................] - ETA: 5s 9/18 [==============>...............] - ETA: 4s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 3s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 2s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 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[===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 647ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 647ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 647ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +Saving marginal footprints +2022-09-22_05-54-03: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_05-54-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_1//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 39s 3/18 [====>.........................] - ETA: 0s  4/18 [=====>........................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 4s 77ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +Saving marginal footprints diff --git a/fold_1/model.bias_scaled.fold_1.ENCSR823ZCR.h5 b/fold_1/model.bias_scaled.fold_1.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..98e9df4065ea663e0641eafdd08bd260bd15dd81 --- /dev/null +++ b/fold_1/model.bias_scaled.fold_1.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c848b3aa5ea7aacbc034adbac2aa164c9eb4f6d6ea9c5e2f28e49b64be17055f +size 2688440 diff --git a/fold_1/model.bias_scaled.fold_1.ENCSR823ZCR.tar b/fold_1/model.bias_scaled.fold_1.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..6fe36b8e7bd09a1e4449588e37ccf6234abb8ebe --- /dev/null +++ b/fold_1/model.bias_scaled.fold_1.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:340d8c1972ff1b3b2b6011899404078d1bef494ca8435c333a970b54c72a179e +size 1198080 diff --git a/fold_1/model.chrombpnet.fold_1.ENCSR823ZCR.h5 b/fold_1/model.chrombpnet.fold_1.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..89b085ae1ac8cd76830bf7dbd3db18ae019080ec --- /dev/null +++ b/fold_1/model.chrombpnet.fold_1.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f309d56ae37f8e3135db6e1e64c3928078ff2e1037d3deba104b7d8b884d00cd +size 26447928 diff --git a/fold_1/model.chrombpnet.fold_1.ENCSR823ZCR.tar b/fold_1/model.chrombpnet.fold_1.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..3d7121d64346a49495630e1b55ea2b5593a2ba60 --- /dev/null +++ b/fold_1/model.chrombpnet.fold_1.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:16d079d83f718e70c0e394326452e5206ff371603fb0a4eaca432ace21b96206 +size 27607040 diff --git a/fold_1/model.chrombpnet_nobias.fold_1.ENCSR823ZCR.h5 b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..84acf7a6bf41efb24734d26f8bd71f19d5842760 --- /dev/null +++ b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d07a5fabe17a7afcdbb9fb0dfa21db48c7985ce2f58c4320436e1cd6b02d9fa7 +size 25583536 diff --git a/fold_1/model.chrombpnet_nobias.fold_1.ENCSR823ZCR.tar b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..40079ef165217a37c027b0b019935ffc6c557881 --- /dev/null +++ b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f3bac816b53ba3c5f95f08890dd0521c3e8c4e678c4291302a95c0c1ab59058b +size 26081280 diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.args.json b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.args.json new file mode 100644 index 0000000000000000000000000000000000000000..93360e79bd97b6dc2937543404b5ef76324332ef --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.batch_loss.tsv b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..b91b9ee647b3b0b2b5412aa707ec29f8eb248898 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.batch_loss.tsv @@ -0,0 +1,12475 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 1.899605631828308 294.86065673828125 274.5348815917969 None None None +0 1 403.4577331542969 4605.84521484375 288.8475341796875 None None None +0 2 269.7938537597656 3184.1337890625 297.3396911621094 None None None +0 3 202.8709259033203 2462.0341796875 291.3153076171875 None None None +0 4 162.80502319335938 2036.5775146484375 294.5638427734375 None None None +0 5 136.00518798828125 1747.7265625 292.4710693359375 None None None +0 6 116.87709045410156 1541.3125 290.72760009765625 None None None +0 7 102.4860610961914 1383.304931640625 286.7040710449219 None None None +0 8 91.31729125976562 1261.6697998046875 284.57476806640625 None None None +0 9 82.4108657836914 1165.9884033203125 284.19219970703125 None None None +0 10 75.06669616699219 1084.9522705078125 281.73870849609375 None None None +0 11 69.00050354003906 1021.870361328125 283.5649719238281 None None None +0 12 63.81211471557617 963.7991943359375 281.00958251953125 None None None +0 13 59.41181182861328 917.4287719726562 281.72235107421875 None None None +0 14 55.59762954711914 876.4580688476562 281.5633850097656 None None None +0 15 52.25843048095703 840.8505859375 281.6852722167969 None None None +0 16 49.27082824707031 806.8793334960938 279.6813659667969 None None None +0 17 46.663116455078125 779.8178100585938 280.5223388671875 None None None +0 18 44.3345947265625 756.0391845703125 281.658935546875 None None None +0 19 42.2238883972168 733.4013061523438 281.6056213378906 None None None +0 20 40.302974700927734 712.24267578125 281.000732421875 None None None +0 21 38.54813003540039 692.8418579101562 280.37677001953125 None None None +0 22 36.95978927612305 675.6281127929688 280.1583251953125 None None None +0 23 35.50144958496094 659.9624633789062 280.0968933105469 None None None +0 24 34.137779235839844 643.7831420898438 278.5088806152344 None None None +0 25 32.90403747558594 630.7922973632812 278.7190246582031 None None None +0 26 31.756954193115234 618.0429077148438 278.2434387207031 None None None +0 27 30.686933517456055 605.9004516601562 277.5502014160156 None None None +0 28 30.20741844177246 600.3280029296875 277.1084899902344 None None None +0 29 29.240760803222656 589.2203369140625 276.3440856933594 None None None +0 30 28.341983795166016 579.3496704101562 276.09039306640625 None None None +0 31 27.499784469604492 570.10546875 275.857666015625 None None None +0 32 26.709049224853516 561.4075927734375 275.6207275390625 None None None +0 33 25.9876651763916 554.655517578125 276.58746337890625 None None None +0 34 25.296003341674805 547.5553588867188 276.88812255859375 None None None +0 35 24.634546279907227 540.0907592773438 276.5010681152344 None None None +0 36 24.010093688964844 533.1729736328125 276.26495361328125 None None None +0 37 23.4222469329834 526.5947265625 275.97662353515625 None None None +0 38 22.875276565551758 521.27392578125 276.5083923339844 None None None +0 39 22.338598251342773 514.4710693359375 275.4479675292969 None None None +0 40 21.841548919677734 509.2061767578125 275.5015563964844 None None None +0 41 21.37308120727539 504.79986572265625 276.1078186035156 None None None +0 42 20.92879295349121 500.773681640625 276.83551025390625 None None None +0 43 20.495615005493164 496.40374755859375 277.1005859375 None None None +0 44 20.079448699951172 491.81658935546875 276.96636962890625 None None None +0 45 19.685659408569336 487.8305969238281 277.1939392089844 None None None +0 46 19.296476364135742 482.99908447265625 276.52667236328125 None None None +0 47 18.928699493408203 478.7273254394531 276.19012451171875 None None None +0 48 18.582048416137695 475.1626281738281 276.3346252441406 None None None +0 49 18.261640548706055 472.5582275390625 277.1585998535156 None None None +0 50 17.936429977416992 468.59698486328125 276.6770935058594 None None None +0 51 17.626731872558594 464.99139404296875 276.38525390625 None None None +0 52 17.32863998413086 461.8023681640625 276.3858642578125 None None None +0 53 17.03849220275879 458.4726257324219 276.16070556640625 None None None +0 54 16.768522262573242 455.9143371582031 276.4910583496094 None None None +0 55 16.50086212158203 453.02435302734375 276.4650573730469 None None None +0 56 16.240659713745117 449.79156494140625 276.0164489746094 None None None +0 57 15.99817943572998 447.4241027832031 276.2434997558594 None None None +0 58 15.764252662658691 445.2040710449219 276.5264587402344 None None None +0 59 15.529877662658691 442.624755859375 276.4549865722656 None None None +0 60 15.30970287322998 440.4593811035156 276.64544677734375 None None None +0 61 15.094132423400879 438.0138244628906 276.5065002441406 None None None +0 62 14.884589195251465 435.77081298828125 276.5056457519531 None None None +0 63 14.686118125915527 433.9207458496094 276.77923583984375 None None None +0 64 14.495532989501953 432.1622314453125 277.05999755859375 None None None +0 65 14.298656463623047 429.5771789550781 276.5815124511719 None None None +0 66 14.116558074951172 427.7149963378906 276.66778564453125 None None None +0 67 13.936671257019043 425.6221923828125 276.499755859375 None None None +0 68 13.75512409210205 423.2263488769531 276.0465087890625 None None None +0 69 13.5945463180542 421.8387756347656 276.3771057128906 None None None +0 70 13.429767608642578 420.01593017578125 276.3174133300781 None None None +0 71 13.269877433776855 418.03704833984375 276.0493469238281 None None None +0 72 13.112592697143555 416.2605895996094 275.9558410644531 None None None +0 73 12.961316108703613 414.5964660644531 275.9103698730469 None None None +0 74 12.817392349243164 413.2008361816406 276.05474853515625 None None None +0 75 12.677518844604492 411.7813415527344 276.13189697265625 None None None +0 76 12.542112350463867 410.49114990234375 276.29052734375 None None None +0 77 12.413660049438477 409.5439758300781 276.71783447265625 None None None +0 78 12.27469539642334 407.7790832519531 276.4398498535156 None None None +0 79 12.141274452209473 406.0817565917969 276.17010498046875 None None None +0 80 12.017396926879883 404.7601013183594 276.1739196777344 None None None +0 81 11.898680686950684 403.6761474609375 276.36029052734375 None None None +0 82 11.772074699401855 401.86944580078125 275.90826416015625 None None None +0 83 11.650493621826172 400.2163391113281 275.5560607910156 None None None +0 84 11.541388511657715 399.3284912109375 275.83563232421875 None None None +0 85 11.430777549743652 398.1270446777344 275.8177185058594 None None None +0 86 11.319031715393066 396.75689697265625 275.64324951171875 None None None +0 87 11.209066390991211 395.3608093261719 275.4237365722656 None None None +0 88 11.10519027709961 394.2635498046875 275.43798828125 None None None +0 89 11.004916191101074 393.2229309082031 275.47027587890625 None None None +0 90 10.909964561462402 392.42578125 275.6890869140625 None None None +0 91 10.816401481628418 391.5931091308594 275.8575439453125 None None None +0 92 10.716423034667969 390.22613525390625 275.5603332519531 None None None +0 93 10.623041152954102 389.148681640625 275.4820556640625 None None None +0 94 10.53294563293457 388.150390625 275.44775390625 None None None +0 95 10.445716857910156 387.2724914550781 275.5032043457031 None None None +0 96 10.35892105102539 386.3250732421875 275.4844970703125 None None None +0 97 10.268583297729492 385.0840148925781 275.2100524902344 None None None +0 98 10.182615280151367 383.93951416015625 274.98541259765625 None None None +0 99 10.101949691772461 383.23126220703125 275.1402893066406 None None None +0 100 10.02509880065918 382.6207580566406 275.35211181640625 None None None +0 101 9.94497299194336 381.6503601074219 275.23907470703125 None None None +0 102 9.871122360229492 381.1579284667969 275.5368347167969 None None None +0 103 9.794273376464844 380.2662658691406 275.46746826171875 None None None +0 104 9.720196723937988 379.4742126464844 275.468017578125 None None None +0 105 9.646828651428223 378.669677734375 275.4485168457031 None None None +0 106 9.576638221740723 377.9869079589844 275.5168151855469 None None None +0 107 9.508045196533203 377.38543701171875 275.6492919921875 None None None +0 108 9.43715763092041 376.5302734375 275.5526428222656 None None None +0 109 9.368696212768555 375.7642822265625 275.5191650390625 None None None +0 110 9.302087783813477 375.0954284667969 275.56304931640625 None None None +0 111 9.238615036010742 374.51861572265625 275.6653747558594 None None None +0 112 9.178045272827148 374.0566101074219 275.8514709472656 None None None +0 113 9.118383407592773 373.6515197753906 276.0847473144531 None None None +0 114 9.052081108093262 372.6186828613281 275.7613525390625 None None None +0 115 8.992003440856934 372.02703857421875 275.8125305175781 None None None +0 116 8.930641174316406 371.18212890625 275.6241760253906 None None None +0 117 8.872477531433105 370.6564025878906 275.7207946777344 None None None +0 118 8.815934181213379 370.1177673339844 275.7872314453125 None None None +0 119 8.759881019592285 369.47113037109375 275.7403564453125 None None None +0 120 8.703642845153809 368.7726745605469 275.64361572265625 None None None +0 121 8.649165153503418 368.1678771972656 275.6217346191406 None None None +0 122 8.589432716369629 367.1553955078125 275.2483825683594 None None None +0 123 8.534056663513184 366.4054870605469 275.09100341796875 None None None +0 124 8.484148979187012 366.0235900878906 275.2431335449219 None None None +0 125 8.429032325744629 365.1720886230469 274.9813537597656 None None None +0 126 8.379294395446777 364.6204833984375 274.96197509765625 None None None +0 127 8.332128524780273 364.0950927734375 274.94122314453125 None None None +0 128 8.28396987915039 363.665283203125 275.0267333984375 None None None +0 129 8.237004280090332 363.2305908203125 275.09454345703125 None None None +0 130 8.186031341552734 362.37664794921875 274.7860107421875 None None None +0 131 8.140739440917969 362.0278015136719 274.92181396484375 None None None +0 132 8.094002723693848 361.4592590332031 274.85333251953125 None None None +0 133 8.051920890808105 361.2481994628906 275.092529296875 None None None +0 134 8.010172843933105 360.9771423339844 275.2681579589844 None None None +0 135 7.965888023376465 360.46734619140625 275.2322082519531 None None None +0 136 7.922359943389893 360.1195068359375 275.3501281738281 None None None +0 137 7.878786563873291 359.62359619140625 275.3204650878906 None None None +0 138 7.838233947753906 359.25555419921875 275.3863525390625 None None None +0 139 7.794841766357422 358.8172607421875 275.4123229980469 None None None +0 140 7.750375270843506 358.16558837890625 275.2364807128906 None None None +0 141 7.712614059448242 357.8836975097656 275.3586120605469 None None None +0 142 7.6731414794921875 357.4278564453125 275.32513427734375 None None None +0 143 7.633758544921875 357.0291748046875 275.3478088378906 None None None +0 144 7.593493938446045 356.4939270019531 275.2433776855469 None None None +0 145 7.5557732582092285 356.05352783203125 275.2065734863281 None None None +0 146 7.516499042510986 355.5365295410156 275.10986328125 None None None +0 147 7.476150035858154 354.9533386230469 274.9583740234375 None None None +0 148 7.439036846160889 354.52288818359375 274.9250793457031 None None None +0 149 7.400998592376709 354.001953125 274.8111572265625 None None None +0 150 7.366822242736816 353.7685241699219 274.9433898925781 None None None +0 151 7.332324028015137 353.42486572265625 274.9689025878906 None None None +0 152 7.299428939819336 353.2427673339844 275.1387634277344 None None None +0 153 7.265419960021973 352.85467529296875 275.11456298828125 None None None +0 154 7.2291436195373535 352.3800964355469 275.0281677246094 None None None +0 155 7.1937737464904785 351.9076232910156 274.9341125488281 None None None +0 156 7.162988185882568 351.7132873535156 275.0692138671875 None None None +0 157 7.130396366119385 351.3638000488281 275.0684509277344 None None None +0 158 7.097190856933594 350.95904541015625 275.01898193359375 None None None +0 159 7.065243721008301 350.57366943359375 274.9754638671875 None None None +0 160 7.033476829528809 350.2534484863281 274.9951477050781 None None None +0 161 7.007082939147949 350.2279357910156 275.2520446777344 None None None +0 162 6.977486610412598 349.95623779296875 275.2970275878906 None None None +0 163 6.947445869445801 349.6038818359375 275.26611328125 None None None +0 164 6.920332908630371 349.5009765625 275.4533386230469 None None None +0 165 6.8932108879089355 349.3627624511719 275.6053161621094 None None None +0 166 6.864239692687988 349.053466796875 275.60601806640625 None None None +0 167 6.835848808288574 348.7320861816406 275.58843994140625 None None None +0 168 6.810902118682861 348.6431884765625 275.7664489746094 None None None +0 169 6.784164905548096 348.42095947265625 275.830322265625 None None None +0 170 6.758242130279541 348.2383117675781 275.9250793457031 None None None +0 171 6.731212139129639 348.00799560546875 275.98394775390625 None None None +0 172 6.702357292175293 347.5413818359375 275.8260803222656 None None None +0 173 6.674102783203125 347.13079833984375 275.71783447265625 None None None +0 174 6.645704746246338 346.6300964355469 275.5209655761719 None None None +0 175 6.620656967163086 346.3956298828125 275.5545349121094 None None None +0 176 6.593635082244873 345.9895324707031 275.4375915527344 None None None +0 177 6.568974494934082 345.6934814453125 275.4053649902344 None None None +0 178 6.541429042816162 345.2847595214844 275.2913818359375 None None None +0 179 6.517107963562012 345.1011047363281 275.36798095703125 None None None +0 180 6.494918346405029 344.9851989746094 275.489501953125 None None None +0 181 6.4725470542907715 344.8236083984375 275.5672607421875 None None None +0 182 6.449559211730957 344.63336181640625 275.62298583984375 None None None +0 183 6.426136016845703 344.40069580078125 275.6409606933594 None None None +0 184 6.401511192321777 344.0716552734375 275.5754089355469 None None None +0 185 6.37891960144043 343.8703308105469 275.6158142089844 None None None +0 186 6.358755588531494 343.827880859375 275.7890930175781 None None None +0 187 6.334787368774414 343.4762878417969 275.6939697265625 None None None +0 188 6.314703464508057 343.3954772949219 275.82806396484375 None None None +0 189 6.290007591247559 342.976318359375 275.6731262207031 None None None +0 190 6.266094207763672 342.608642578125 275.5613098144531 None None None +0 191 6.2416839599609375 342.1849670410156 275.3988342285156 None None None +0 192 6.2222466468811035 342.0333251953125 275.4551696777344 None None None +0 193 6.1999664306640625 341.7345886230469 275.3948059082031 None None None +0 194 6.182169437408447 341.7699279785156 275.62060546875 None None None +0 195 6.161158084869385 341.5858154296875 275.6612854003906 None None None +0 196 6.137801647186279 341.1822509765625 275.50762939453125 None None None +0 197 6.117856502532959 340.9915771484375 275.5303955078125 None None None +0 198 6.097851753234863 340.762451171875 275.5152893066406 None None None +0 199 6.079293251037598 340.6068115234375 275.5582275390625 None None None +0 200 6.058339595794678 340.32269287109375 275.4983215332031 None None None +0 201 6.0385942459106445 340.1695251464844 275.55645751953125 None None None +0 202 6.021908760070801 340.1385498046875 275.7040100097656 None None None +0 203 6.0009589195251465 339.84210205078125 275.6317138671875 None None None +0 204 5.98033332824707 339.5252685546875 275.5355224609375 None None None +0 205 5.962285995483398 339.3953857421875 275.5987854003906 None None None +0 206 5.942645072937012 339.14459228515625 275.55810546875 None None None +0 207 5.922536849975586 338.8441162109375 275.4728088378906 None None None +0 208 5.9052863121032715 338.7276306152344 275.5409240722656 None None None +0 209 5.886306285858154 338.474365234375 275.49078369140625 None None None +0 210 5.87051248550415 338.4811096191406 275.66650390625 None None None +0 211 5.854747772216797 338.39678955078125 275.7508544921875 None None None +0 212 5.837561130523682 338.25628662109375 275.7942810058594 None None None +0 213 5.818997383117676 338.035888671875 275.77252197265625 None None None +0 214 5.799334526062012 337.65869140625 275.6056823730469 None None None +0 215 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1048 0.23415671288967133 257.5661315917969 255.0605926513672 None None None +10 1049 0.23419123888015747 257.55767822265625 255.05178833007812 None None None +10 1050 0.23419521749019623 257.5558166503906 255.04986572265625 None None None +10 1051 0.23421286046504974 257.5303955078125 255.0242156982422 None None None +10 1052 0.23417644202709198 257.513916015625 255.0081329345703 None None None +10 1053 0.23422779142856598 257.4911193847656 254.9847869873047 None None None +10 1054 0.2342153787612915 257.4993591308594 254.99314880371094 None None None +10 1055 0.2341671735048294 257.495361328125 254.9896697998047 None None None +10 1056 0.2341991513967514 257.4796447753906 254.9735870361328 None None None +10 1057 0.2341688871383667 257.48663330078125 254.9809112548828 None None None +10 1058 0.23411405086517334 257.5022277832031 254.99710083007812 None None None +10 1059 0.2341076135635376 257.5099792480469 255.0049285888672 None None None +10 1060 0.23409926891326904 257.5128173828125 255.00784301757812 None None None +10 1061 0.23403987288475037 257.51214599609375 255.00782775878906 None None None +10 1062 0.23400144279003143 257.5119323730469 255.00802612304688 None None None +10 1063 0.2340369075536728 257.5245361328125 255.02024841308594 None None None +10 1064 0.23404797911643982 257.5408935546875 255.03648376464844 None None None +10 1065 0.23408237099647522 257.5409240722656 255.03616333007812 None None None +10 1066 0.23400761187076569 257.5456237792969 255.0417022705078 None None None +10 1067 0.23396939039230347 257.54730224609375 255.04376220703125 None None None +10 1068 0.23399315774440765 257.5742492675781 255.07044982910156 None None None +10 1069 0.23401318490505219 257.5843200683594 255.08029174804688 None None None +10 1070 0.23400843143463135 257.59844970703125 255.09446716308594 None None None +10 1071 0.23401090502738953 257.6056213378906 255.1016082763672 None None None +10 1072 0.23396363854408264 257.6192321777344 255.11570739746094 None None None +10 1073 0.23394173383712769 257.6014099121094 255.09812927246094 None None None +10 1074 0.2339840531349182 257.6151428222656 255.11138916015625 None None None +10 1075 0.23394279181957245 257.62371826171875 255.1204071044922 None None None +10 1076 0.2339916229248047 257.6318054199219 255.12799072265625 None None None +10 1077 0.2340344786643982 257.6111755371094 255.10690307617188 None None None +10 1078 0.23400244116783142 257.6101379394531 255.106201171875 None None None +10 1079 0.23399655520915985 257.6214904785156 255.11761474609375 None None None +10 1080 0.2340848743915558 257.62799072265625 255.12318420410156 None None None +10 1081 0.23410484194755554 257.6431884765625 255.13815307617188 None None None +10 1082 0.23409989476203918 257.6368713378906 255.1318817138672 None None None +10 1083 0.23411895334720612 257.6548156738281 255.1496124267578 None None None +10 1084 0.23413242399692535 257.62713623046875 255.1217803955078 None None None +10 1085 0.23414015769958496 257.6347351074219 255.12928771972656 None None None +10 1086 0.23412685096263885 257.6313781738281 255.1260986328125 None None None +10 1087 0.23414739966392517 257.641357421875 255.1358642578125 None None None +10 1088 0.2342100590467453 257.63909912109375 255.13290405273438 None None None +10 1089 0.23417727649211884 257.662841796875 255.15701293945312 None None None +10 1090 0.23415029048919678 257.6697082519531 255.16415405273438 None None None +10 1091 0.23413187265396118 257.6855773925781 255.18020629882812 None None None +10 1092 0.23405402898788452 257.7031555175781 255.19863891601562 None None None +10 1093 0.2340531349182129 257.70404052734375 255.1995086669922 None None None +10 1094 0.23404380679130554 257.6842041015625 255.1797637939453 None None None +10 1095 0.23402123153209686 257.67547607421875 255.17127990722656 None None None +10 1096 0.23404237627983093 257.6811828613281 255.1767578125 None None None +10 1097 0.23408040404319763 257.6724853515625 255.16763305664062 None None None +10 1098 0.23411402106285095 257.67974853515625 255.17453002929688 None None None +10 1099 0.23410117626190186 257.6767883300781 255.1716766357422 None None None +10 1100 0.23408082127571106 257.6892395019531 255.18435668945312 None None None +10 1101 0.23409011960029602 257.68505859375 255.18006896972656 None None None +10 1102 0.23403911292552948 257.6818542480469 255.1774139404297 None None None +10 1103 0.2339763045310974 257.6904602050781 255.18670654296875 None None None +10 1104 0.23397529125213623 257.6867980957031 255.1830291748047 None None None +10 1105 0.23398351669311523 257.6748352050781 255.17098999023438 None None None +10 1106 0.23399104177951813 257.6506042480469 255.14669799804688 None None None +10 1107 0.23399941623210907 257.6441345214844 255.14015197753906 None None None +10 1108 0.23393967747688293 257.6419982910156 255.13864135742188 None None None +10 1109 0.2340082824230194 257.613525390625 255.1094512939453 None None None +10 1110 0.23411054909229279 257.6230773925781 255.11790466308594 None None None +10 1111 0.2340872436761856 257.63446044921875 255.1295623779297 None None None +10 1112 0.23409821093082428 257.6634216308594 255.1584014892578 None None None +10 1113 0.23408430814743042 257.64239501953125 255.1375274658203 None None None +10 1114 0.2341076284646988 257.6291198730469 255.12399291992188 None None None +10 1115 0.23408401012420654 257.6290283203125 255.12416076660156 None None None +10 1116 0.2340759038925171 257.62445068359375 255.11968994140625 None None None +10 1117 0.23405487835407257 257.60986328125 255.10531616210938 None None None +10 1118 0.23419947922229767 257.6396179199219 255.13352966308594 None None None +10 1119 0.23418168723583221 257.64337158203125 255.137451171875 None None None +10 1120 0.23415090143680573 257.6515197753906 255.14588928222656 None None None +10 1121 0.23413433134555817 257.6513977050781 255.14596557617188 None None None +10 1122 0.2341015785932541 257.6419982910156 255.1368865966797 None None None +10 1123 0.23412278294563293 257.6723937988281 255.1670379638672 None None None +10 1124 0.23406636714935303 257.6702880859375 255.16555786132812 None None None +10 1125 0.23402917385101318 257.678466796875 255.1741180419922 None None None +10 1126 0.23406364023685455 257.6640319824219 255.15931701660156 None None None +10 1127 0.23401258885860443 257.66796875 255.16383361816406 None None None +10 1128 0.2339927703142166 257.6669616699219 255.16305541992188 None None None +10 1129 0.23408916592597961 257.6580505371094 255.15309143066406 None None None +10 1130 0.2340579628944397 257.6546936035156 255.15005493164062 None None None +10 1131 0.23400473594665527 257.6392517089844 255.13514709472656 None None None +10 1132 0.23400379717350006 257.6473083496094 255.14324951171875 None None None +10 1133 0.23402075469493866 257.6412353515625 255.136962890625 None None None diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.bias_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae6960c6ff6faa0bc00792bf8e536d1d58ae6c19 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 14:15:55.612145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.641878: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.648324: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 14:15:58.680473: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:83:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.680587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.713622: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.713800: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.729283: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.736190: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.762632: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.770296: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.771834: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.774862: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.775235: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 14:15:58.776219: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.776689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:83:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.776724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.776753: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.776776: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.776798: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.776821: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.776843: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.776865: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.776887: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.778434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.779904: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:16:00.645995: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 14:16:00.646122: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 14:16:00.646140: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 14:16:00.653312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:83:00.0, compute capability: 6.0) +2023-07-14 14:16:01.511398: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.bias_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..a92d1afce27ccda9296181f4fbcc8e775144b7e5 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/new_model_formats/bias_model_scaled diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet.params.json b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..8b1e35440ef14e7d63f2cf8dafbf43b0ec3c34dc --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "10.7", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_data_params.tsv b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..a7a81743ab3a0697970b65afc2a3a18d27814cac --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 12.0 +counts_sum_max_thresh 666.83 +trainings_pts_post_thresh 79063 diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..a913edb54018786f3cee88cb0361417c26278973 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 16:31:01.082262: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:03.379284: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:03.382709: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:31:04.093760: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c3:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:04.093857: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:04.118585: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:04.118643: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:04.127776: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:04.132175: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:04.147439: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:04.151509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:04.152438: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:04.184421: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:04.184891: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:31:04.186423: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:04.207667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c3:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:04.207739: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:04.207783: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:04.207817: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:04.207848: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:04.207875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:04.207902: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:04.207929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:04.207956: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:04.257042: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:04.259410: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:07.143506: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:31:07.143607: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:31:07.143621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:31:07.150727: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c3:00.0, compute capability: 8.0) +2023-07-14 16:31:09.263708: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..eda2a4f03c222669bab6e5aacd14f41ca88bc41a --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/new_model_formats/chrombpnet diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_model_params.tsv b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..dfe1425ef3bdcafc437f69a07f7b4f778d2c39ae --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 10.7 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..35dcab8aebe9246f39a216045b3474af9b20d09d --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/new_model_formats/chrombpnet_wo_bias diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..35dcab8aebe9246f39a216045b3474af9b20d09d --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_2/new_model_formats/chrombpnet_wo_bias diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.epoch_loss.csv b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..84eeeb6e4792e01a89923e43a3d0d532fe6810fc --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.epoch_loss.csv @@ -0,0 +1,12 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.7231006622314453,272.2387390136719,290.67559814453125,0.4715302288532257,283.0347595214844,288.0802001953125 +1,0.39658117294311523,267.9775695800781,272.22064208984375,0.35071393847465515,279.7276611328125,283.4803161621094 +2,0.3697030544281006,265.91436767578125,269.8705139160156,0.3821650445461273,278.6246337890625,282.7138366699219 +3,0.352275550365448,264.6029968261719,268.3724060058594,0.4562655985355377,278.2763366699219,283.1583557128906 +4,0.34117987751960754,263.77923583984375,267.4297790527344,0.3213713467121124,277.71533203125,281.154052734375 +5,0.3248184621334076,263.01983642578125,266.49542236328125,0.3145158588886261,277.44403076171875,280.8094177246094 +6,0.3095536231994629,262.23480224609375,265.54669189453125,0.29553377628326416,277.80328369140625,280.9654846191406 +7,0.30272865295410156,261.2747497558594,264.51409912109375,0.30972856283187866,277.88543701171875,281.1995849609375 +8,0.28952521085739136,260.4343566894531,263.5322570800781,0.30784139037132263,278.3067932128906,281.6006164550781 +9,0.2487974315881729,257.0550537109375,259.7171325683594,0.2834801971912384,278.82232666015625,281.8555603027344 +10,0.23402075469493866,255.136962890625,257.6412353515625,0.28422844409942627,280.0640869140625,283.1053161621094 diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stderr.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d5052b564d831764059787976c82b334d5804a0 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stderr.txt @@ -0,0 +1,328 @@ +2022-09-22 05:23:44.472054: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:31.322968: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:25:31.325112: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:25:31.773070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:25:31.773125: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:31.792904: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:25:31.792956: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:25:31.803865: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:25:31.809274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:25:31.826655: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:25:31.831559: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:25:31.832728: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:25:31.836760: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:25:31.837055: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:25:31.837133: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:25:31.838567: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:25:31.838599: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:31.838616: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:25:31.838628: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:25:31.838641: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:25:31.838654: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:25:31.838666: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:25:31.838677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:25:31.838688: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:25:31.841457: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:25:31.842755: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:33.261489: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:25:33.261565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:25:33.261578: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:25:33.267983: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +2022-09-22 05:25:34.249402: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:25:34.256667: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 05:25:34.404108: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:25:35.736888: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:25:35.743812: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:25:52.689452: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:54.053859: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:25:54.054995: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:25:54.342606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:25:54.342664: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:54.344329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:25:54.344371: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:25:54.345105: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:25:54.345258: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:25:54.346915: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:25:54.347284: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:25:54.347400: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:25:54.349127: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:25:54.349397: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:25:54.349488: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:25:54.350340: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:25:54.350378: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:54.350396: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:25:54.350410: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:25:54.350422: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:25:54.350434: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:25:54.350445: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:25:54.350457: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:25:54.350468: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:25:54.352072: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:25:54.352103: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:25:54.867409: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:25:54.867511: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:25:54.867524: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:25:54.870343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +2022-09-22 05:27:38.797462: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:27:38.797855: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 05:27:40.042542: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:27:40.465730: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:27:40.477988: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:27:42.908606: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2022-09-22 05:59:20.758734: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:22.901414: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:59:22.902756: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:59:23.203571: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:59:23.203635: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:23.205694: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:59:23.205743: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:59:23.206656: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:59:23.206838: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:59:23.208827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:59:23.209232: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:59:23.209355: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:59:23.211046: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:59:23.211320: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:59:23.211404: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:59:23.212250: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:59:23.212274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:23.212292: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:59:23.212307: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:59:23.212321: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:59:23.212335: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:59:23.212349: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:59:23.212363: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:59:23.212377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:59:23.213991: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:59:23.214022: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:23.623230: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:59:23.623320: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:59:23.623333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:59:23.626137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +2022-09-22 05:59:45.125382: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:59:45.128031: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 05:59:45.194277: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:59:45.616651: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:59:45.618519: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 06:00:37.951680: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:00:39.880153: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:00:39.881409: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:00:40.149637: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:00:40.149691: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:00:40.151540: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:00:40.151594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:00:40.152398: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:00:40.152564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:00:40.154421: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:00:40.154824: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:00:40.154950: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:00:40.156682: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:00:40.156962: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:00:40.157076: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:00:40.157927: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:00:40.157948: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:00:40.157965: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:00:40.157979: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:00:40.157992: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:00:40.158004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:00:40.158016: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:00:40.158028: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:00:40.158041: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:00:40.159652: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:00:40.159684: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:00:40.569276: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:00:40.569345: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:00:40.569359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:00:40.572184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 06:01:01.809133: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:01:01.810952: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 06:01:01.855237: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:01:02.283981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:01:02.285437: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 06:01:50.013905: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:51.939220: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:01:51.940178: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:01:52.214330: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:01:52.214379: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:52.216233: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:01:52.216280: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:01:52.217084: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:01:52.217247: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:01:52.219086: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:01:52.219475: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:01:52.219603: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:01:52.221290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:01:52.221566: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:01:52.221647: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:01:52.222490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:01:52.222510: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:52.222526: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:01:52.222540: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:01:52.222568: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:01:52.222582: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:01:52.222599: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:01:52.222611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:01:52.222623: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:01:52.224226: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:01:52.224256: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:52.631503: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:01:52.631601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:01:52.631615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:01:52.634348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +2022-09-22 06:02:13.999018: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:02:14.000368: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 06:02:14.029091: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:02:14.448632: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:02:14.450034: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 06:02:40.421497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:02:41.380648: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:02:41.381511: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:02:41.630101: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:02:41.630156: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:02:41.631970: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:02:41.632019: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:02:41.632863: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:02:41.633045: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:02:41.634934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:02:41.635347: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:02:41.635465: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:02:41.637111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:02:41.637371: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:02:41.637456: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:02:41.638305: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:02:41.638334: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:02:41.638353: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:02:41.638368: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:02:41.638381: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:02:41.638395: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:02:41.638408: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:02:41.638422: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:02:41.638435: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:02:41.640027: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:02:41.640064: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:02:42.075504: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:02:42.075615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:02:42.075629: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:02:42.078431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 06:02:47.870940: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:02:47.871389: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 06:02:48.039662: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:02:48.463099: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:02:48.464786: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints’: File exists +2022-09-22 06:04:51.319111: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:04:52.284975: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:04:52.286179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:04:52.570606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:04:52.570662: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:04:52.572448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:04:52.572494: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:04:52.573286: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:04:52.573450: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:04:52.575291: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:04:52.575694: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:04:52.575812: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:04:52.577485: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:04:52.577753: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:04:52.577841: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:04:52.578701: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:04:52.578745: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:04:52.578764: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:04:52.578779: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:04:52.578794: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:04:52.578808: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:04:52.578822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:04:52.578835: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:04:52.578850: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:04:52.580461: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:04:52.580497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:04:53.016444: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:04:53.016545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:04:53.016558: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:04:53.019404: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +2022-09-22 06:04:58.932706: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:04:58.933136: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 06:04:59.048160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:04:59.484875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:04:59.486407: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stdout.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf299793d9e74eeccab3bb4c1b80d68b2773785b --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stdout.txt @@ -0,0 +1,470 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json +Thu Sep 22 05:23:42 2022 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +| | | MIG M. | +|===============================+======================+======================| +| 0 NVIDIA A100-SXM... On | 00000000:0A:00.0 Off | 0 | +| N/A 28C P0 62W / 400W | 0MiB / 81920MiB | 0% E. Process | +| | | Disabled | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: | +| GPU GI CI PID Type Process name GPU Memory | +| ID ID Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ +No logfile supplied - creating one +2022-09-22_05-23-43: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_2/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] +Number of peaks input: 73380 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 73380 +Number of peaks input: 15566 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 15566 +Number of non peaks input: 74801 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 74801 +Number of non peaks input: 14144 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 14144 +Number of peaks after removing outliers: 72572 +Number of nonpeaks after removing outliers: 66571 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 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1937/2081 [==========================>...] - ETA: 0s 1948/2081 [===========================>..] - ETA: 0s 1959/2081 [===========================>..] - ETA: 0s 1971/2081 [===========================>..] - ETA: 0s 1982/2081 [===========================>..] - ETA: 0s 1993/2081 [===========================>..] - ETA: 0s 2005/2081 [===========================>..] - ETA: 0s 2016/2081 [============================>.] - ETA: 0s 2028/2081 [============================>.] - ETA: 0s 2039/2081 [============================>.] - ETA: 0s 2051/2081 [============================>.] - ETA: 0s 2063/2081 [============================>.] - ETA: 0s 2074/2081 [============================>.] - ETA: 0s 2081/2081 [==============================] - ETA: 0s 2081/2081 [==============================] - 16s 5ms/step +2022-09-22_05-25-52: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(65948, 10) +loading nonpeaks... +got split:train for bed regions:(59555, 10) +loading peaks... +got split:valid for bed regions:(6624, 10) +loading nonpeaks... +got split:valid for bed regions:(7016, 10) +Epoch 1/50 + 1/1134 [..............................] - ETA: 1:48:51 - loss: 294.8607 - logits_profile_predictions_loss: 274.5349 - logcount_predictions_loss: 1.8996 2/1134 [..............................] - ETA: 2:40 - loss: 2450.3529 - logits_profile_predictions_loss: 281.6912 - logcount_predictions_loss: 202.6787 3/1134 [..............................] - ETA: 2:39 - loss: 2694.9466 - logits_profile_predictions_loss: 286.9074 - logcount_predictions_loss: 225.0504 4/1134 [..............................] - ETA: 2:39 - loss: 2636.7185 - logits_profile_predictions_loss: 288.0094 - logcount_predictions_loss: 219.5055 5/1134 [..............................] - ETA: 2:39 - loss: 2516.6903 - logits_profile_predictions_loss: 289.3203 - logcount_predictions_loss: 208.1654 6/1134 [..............................] - ETA: 2:39 - loss: 2388.5297 - logits_profile_predictions_loss: 289.8454 - logcount_predictions_loss: 196.1387 7/1134 [..............................] - ETA: 2:39 - loss: 2267.4986 - logits_profile_predictions_loss: 289.9714 - logcount_predictions_loss: 184.8156 8/1134 [..............................] - ETA: 2:39 - loss: 2156.9744 - logits_profile_predictions_loss: 289.5630 - logcount_predictions_loss: 174.5244 9/1134 [..............................] - ETA: 2:38 - loss: 2057.4961 - logits_profile_predictions_loss: 289.0088 - logcount_predictions_loss: 165.2792 10/1134 [..............................] - ETA: 2:38 - loss: 1968.3454 - logits_profile_predictions_loss: 288.5271 - logcount_predictions_loss: 156.9924 11/1134 [..............................] - ETA: 2:38 - loss: 1888.0369 - logits_profile_predictions_loss: 287.9100 - logcount_predictions_loss: 149.5446 12/1134 [..............................] - ETA: 2:38 - loss: 1815.8563 - logits_profile_predictions_loss: 287.5479 - logcount_predictions_loss: 142.8326 13/1134 [..............................] - ETA: 2:38 - loss: 1750.3135 - logits_profile_predictions_loss: 287.0449 - logcount_predictions_loss: 136.7541 14/1134 [..............................] - ETA: 2:38 - loss: 1690.8217 - logits_profile_predictions_loss: 286.6648 - logcount_predictions_loss: 131.2296 15/1134 [..............................] - ETA: 2:38 - loss: 1636.5308 - logits_profile_predictions_loss: 286.3247 - logcount_predictions_loss: 126.1875 16/1134 [..............................] - ETA: 2:37 - loss: 1586.8008 - logits_profile_predictions_loss: 286.0347 - logcount_predictions_loss: 121.5669 17/1134 [..............................] - ETA: 2:37 - loss: 1540.9231 - logits_profile_predictions_loss: 285.6610 - logcount_predictions_loss: 117.3142 18/1134 [..............................] - ETA: 2:37 - loss: 1498.6394 - logits_profile_predictions_loss: 285.3755 - logcount_predictions_loss: 113.3892 19/1134 [..............................] - ETA: 2:37 - loss: 1459.5552 - logits_profile_predictions_loss: 285.1799 - logcount_predictions_loss: 109.7547 20/1134 [..............................] - ETA: 2:37 - loss: 1423.2475 - logits_profile_predictions_loss: 285.0012 - logcount_predictions_loss: 106.3782 21/1134 [..............................] - ETA: 2:37 - loss: 1389.3901 - logits_profile_predictions_loss: 284.8107 - logcount_predictions_loss: 103.2317 22/1134 [..............................] - ETA: 2:36 - loss: 1357.7289 - logits_profile_predictions_loss: 284.6091 - logcount_predictions_loss: 100.2916 23/1134 [..............................] - ETA: 2:36 - loss: 1328.0723 - logits_profile_predictions_loss: 284.4156 - logcount_predictions_loss: 97.5380  24/1134 [..............................] - ETA: 2:36 - loss: 1300.2344 - logits_profile_predictions_loss: 284.2357 - logcount_predictions_loss: 94.9531 25/1134 [..............................] - ETA: 2:36 - loss: 1273.9763 - logits_profile_predictions_loss: 284.0066 - logcount_predictions_loss: 92.5205 26/1134 [..............................] - ETA: 2:36 - loss: 1249.2385 - logits_profile_predictions_loss: 283.8032 - logcount_predictions_loss: 90.2276 27/1134 [..............................] - ETA: 2:36 - loss: 1225.8609 - logits_profile_predictions_loss: 283.5973 - logcount_predictions_loss: 88.0620 28/1134 [..............................] - ETA: 2:36 - loss: 1203.7194 - logits_profile_predictions_loss: 283.3813 - logcount_predictions_loss: 86.0129 29/1134 [..............................] - ETA: 3:21 - loss: 1182.9128 - logits_profile_predictions_loss: 283.1650 - logcount_predictions_loss: 84.0886 30/1134 [..............................] - ETA: 3:19 - loss: 1163.1231 - logits_profile_predictions_loss: 282.9377 - logcount_predictions_loss: 82.2603 31/1134 [..............................] - ETA: 3:17 - loss: 1144.2917 - logits_profile_predictions_loss: 282.7168 - logcount_predictions_loss: 80.5210 32/1134 [..............................] - ETA: 3:16 - loss: 1126.3484 - logits_profile_predictions_loss: 282.5024 - logcount_predictions_loss: 78.8641 33/1134 [..............................] - ETA: 3:14 - loss: 1109.2290 - logits_profile_predictions_loss: 282.2939 - logcount_predictions_loss: 77.2836 34/1134 [..............................] - ETA: 3:13 - loss: 1092.9180 - logits_profile_predictions_loss: 282.1261 - logcount_predictions_loss: 75.7749 35/1134 [..............................] - ETA: 3:12 - loss: 1077.3362 - logits_profile_predictions_loss: 281.9764 - logcount_predictions_loss: 74.3327 36/1134 [..............................] - ETA: 3:10 - loss: 1062.4127 - logits_profile_predictions_loss: 281.8243 - logcount_predictions_loss: 72.9522 37/1134 [..............................] - ETA: 3:09 - loss: 1048.1089 - logits_profile_predictions_loss: 281.6741 - logcount_predictions_loss: 71.6294 38/1134 [>.............................] - ETA: 3:08 - loss: 1034.3849 - logits_profile_predictions_loss: 281.5241 - logcount_predictions_loss: 70.3608 39/1134 [>.............................] - ETA: 3:07 - loss: 1021.2282 - logits_profile_predictions_loss: 281.3955 - logcount_predictions_loss: 69.1432 40/1134 [>.............................] - ETA: 3:06 - loss: 1008.5592 - logits_profile_predictions_loss: 281.2468 - logcount_predictions_loss: 67.9731 41/1134 [>.............................] - ETA: 3:05 - loss: 996.3799 - logits_profile_predictions_loss: 281.1067 - logcount_predictions_loss: 66.8480  42/1134 [>.............................] - ETA: 3:04 - loss: 984.6756 - logits_profile_predictions_loss: 280.9877 - logcount_predictions_loss: 65.7652 43/1134 [>.............................] - ETA: 3:03 - loss: 973.4221 - logits_profile_predictions_loss: 280.8911 - logcount_predictions_loss: 64.7225 44/1134 [>.............................] - ETA: 3:02 - loss: 962.5808 - logits_profile_predictions_loss: 280.8050 - logcount_predictions_loss: 63.7174 45/1134 [>.............................] - ETA: 3:01 - loss: 952.1193 - logits_profile_predictions_loss: 280.7197 - logcount_predictions_loss: 62.7476 46/1134 [>.............................] - ETA: 3:01 - loss: 942.0261 - logits_profile_predictions_loss: 280.6430 - logcount_predictions_loss: 61.8115 47/1134 [>.............................] - ETA: 3:00 - loss: 932.2596 - logits_profile_predictions_loss: 280.5555 - logcount_predictions_loss: 60.9069 48/1134 [>.............................] - ETA: 2:59 - loss: 922.8110 - logits_profile_predictions_loss: 280.4645 - logcount_predictions_loss: 60.0324 49/1134 [>.............................] - ETA: 2:58 - loss: 913.6753 - logits_profile_predictions_loss: 280.3802 - logcount_predictions_loss: 59.1865 50/1134 [>.............................] - ETA: 2:58 - loss: 904.8530 - logits_profile_predictions_loss: 280.3158 - logcount_predictions_loss: 58.3680 51/1134 [>.............................] - ETA: 2:57 - loss: 896.2989 - logits_profile_predictions_loss: 280.2444 - logcount_predictions_loss: 57.5752 52/1134 [>.............................] - ETA: 2:56 - loss: 888.0045 - logits_profile_predictions_loss: 280.1702 - logcount_predictions_loss: 56.8069 53/1134 [>.............................] - ETA: 2:56 - loss: 879.9630 - logits_profile_predictions_loss: 280.0988 - logcount_predictions_loss: 56.0621 54/1134 [>.............................] - ETA: 2:55 - loss: 872.1576 - logits_profile_predictions_loss: 280.0259 - logcount_predictions_loss: 55.3394 55/1134 [>.............................] - ETA: 2:55 - loss: 864.5896 - logits_profile_predictions_loss: 279.9616 - logcount_predictions_loss: 54.6381 56/1134 [>.............................] - ETA: 2:54 - loss: 857.2402 - logits_profile_predictions_loss: 279.8992 - logcount_predictions_loss: 53.9571 57/1134 [>.............................] - ETA: 2:53 - loss: 850.0920 - logits_profile_predictions_loss: 279.8311 - logcount_predictions_loss: 53.2954 58/1134 [>.............................] - ETA: 2:53 - loss: 843.1494 - logits_profile_predictions_loss: 279.7692 - logcount_predictions_loss: 52.6523 59/1134 [>.............................] - ETA: 2:52 - loss: 836.4046 - logits_profile_predictions_loss: 279.7143 - logcount_predictions_loss: 52.0271 60/1134 [>.............................] - ETA: 2:52 - loss: 829.8416 - logits_profile_predictions_loss: 279.6599 - logcount_predictions_loss: 51.4188 61/1134 [>.............................] - ETA: 2:51 - loss: 823.4583 - logits_profile_predictions_loss: 279.6105 - logcount_predictions_loss: 50.8269 62/1134 [>.............................] - ETA: 2:51 - loss: 817.2414 - logits_profile_predictions_loss: 279.5604 - logcount_predictions_loss: 50.2506 63/1134 [>.............................] - ETA: 2:50 - loss: 811.1863 - logits_profile_predictions_loss: 279.5120 - logcount_predictions_loss: 49.6892 64/1134 [>.............................] - ETA: 2:50 - loss: 805.2915 - logits_profile_predictions_loss: 279.4693 - logcount_predictions_loss: 49.1423 65/1134 [>.............................] - ETA: 2:49 - loss: 799.5511 - logits_profile_predictions_loss: 279.4322 - logcount_predictions_loss: 48.6092 66/1134 [>.............................] - ETA: 2:49 - loss: 793.9454 - logits_profile_predictions_loss: 279.3890 - logcount_predictions_loss: 48.0894 67/1134 [>.............................] - ETA: 2:49 - loss: 788.4793 - logits_profile_predictions_loss: 279.3484 - logcount_predictions_loss: 47.5823 68/1134 [>.............................] - ETA: 2:48 - loss: 783.1432 - logits_profile_predictions_loss: 279.3065 - logcount_predictions_loss: 47.0875 69/1134 [>.............................] - ETA: 2:48 - loss: 777.9270 - logits_profile_predictions_loss: 279.2593 - logcount_predictions_loss: 46.6045 70/1134 [>.............................] - ETA: 2:47 - loss: 772.8400 - logits_profile_predictions_loss: 279.2181 - logcount_predictions_loss: 46.1329 71/1134 [>.............................] - ETA: 2:47 - loss: 767.8707 - logits_profile_predictions_loss: 279.1772 - logcount_predictions_loss: 45.6723 72/1134 [>.............................] - ETA: 2:46 - loss: 763.0119 - logits_profile_predictions_loss: 279.1338 - logcount_predictions_loss: 45.2222 73/1134 [>.............................] - ETA: 2:46 - loss: 758.2618 - logits_profile_predictions_loss: 279.0902 - logcount_predictions_loss: 44.7824 74/1134 [>.............................] - ETA: 2:46 - loss: 753.6177 - logits_profile_predictions_loss: 279.0473 - logcount_predictions_loss: 44.3524 75/1134 [>.............................] - ETA: 2:45 - loss: 749.0788 - logits_profile_predictions_loss: 279.0074 - logcount_predictions_loss: 43.9319 76/1134 [=>............................] - ETA: 2:45 - loss: 744.6407 - logits_profile_predictions_loss: 278.9695 - logcount_predictions_loss: 43.5207 77/1134 [=>............................] - ETA: 2:45 - loss: 740.3011 - logits_profile_predictions_loss: 278.9347 - logcount_predictions_loss: 43.1183 78/1134 [=>............................] - ETA: 2:44 - loss: 736.0606 - logits_profile_predictions_loss: 278.9063 - logcount_predictions_loss: 42.7247 79/1134 [=>............................] - ETA: 2:44 - loss: 731.9052 - logits_profile_predictions_loss: 278.8751 - logcount_predictions_loss: 42.3393 80/1134 [=>............................] - ETA: 2:43 - loss: 727.8324 - logits_profile_predictions_loss: 278.8413 - logcount_predictions_loss: 41.9618 81/1134 [=>............................] - ETA: 2:43 - loss: 723.8438 - logits_profile_predictions_loss: 278.8084 - logcount_predictions_loss: 41.5921 82/1134 [=>............................] - ETA: 2:43 - loss: 719.9393 - logits_profile_predictions_loss: 278.7785 - logcount_predictions_loss: 41.2300 83/1134 [=>............................] - ETA: 2:42 - loss: 716.1072 - logits_profile_predictions_loss: 278.7439 - logcount_predictions_loss: 40.8751 84/1134 [=>............................] - ETA: 2:42 - loss: 712.3466 - logits_profile_predictions_loss: 278.7060 - logcount_predictions_loss: 40.5272 85/1134 [=>............................] - ETA: 2:42 - loss: 708.6640 - logits_profile_predictions_loss: 278.6722 - logcount_predictions_loss: 40.1861 86/1134 [=>............................] - ETA: 2:41 - loss: 705.0531 - logits_profile_predictions_loss: 278.6390 - logcount_predictions_loss: 39.8518 87/1134 [=>............................] - ETA: 2:41 - loss: 701.5095 - logits_profile_predictions_loss: 278.6046 - logcount_predictions_loss: 39.5238 88/1134 [=>............................] - ETA: 2:41 - loss: 698.0305 - logits_profile_predictions_loss: 278.5684 - logcount_predictions_loss: 39.2021 89/1134 [=>............................] - ETA: 2:41 - loss: 694.6174 - logits_profile_predictions_loss: 278.5333 - logcount_predictions_loss: 38.8864 90/1134 [=>............................] - ETA: 2:40 - loss: 691.2686 - logits_profile_predictions_loss: 278.4992 - logcount_predictions_loss: 38.5766 91/1134 [=>............................] - ETA: 2:40 - loss: 687.9846 - logits_profile_predictions_loss: 278.4683 - logcount_predictions_loss: 38.2725 92/1134 [=>............................] - ETA: 2:40 - loss: 684.7629 - logits_profile_predictions_loss: 278.4400 - logcount_predictions_loss: 37.9741 93/1134 [=>............................] - ETA: 2:39 - loss: 681.5959 - 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[=>............................] - ETA: 2:37 - loss: 660.9157 - logits_profile_predictions_loss: 278.1929 - logcount_predictions_loss: 35.7685 101/1134 [=>............................] - ETA: 2:37 - loss: 658.1603 - logits_profile_predictions_loss: 278.1648 - logcount_predictions_loss: 35.5136 102/1134 [=>............................] - ETA: 2:37 - loss: 655.4494 - logits_profile_predictions_loss: 278.1361 - logcount_predictions_loss: 35.2629 103/1134 [=>............................] - ETA: 2:36 - loss: 652.7864 - logits_profile_predictions_loss: 278.1109 - logcount_predictions_loss: 35.0164 104/1134 [=>............................] - ETA: 2:36 - loss: 650.1660 - logits_profile_predictions_loss: 278.0854 - logcount_predictions_loss: 34.7739 105/1134 [=>............................] - ETA: 2:36 - loss: 647.5880 - logits_profile_predictions_loss: 278.0605 - logcount_predictions_loss: 34.5353 106/1134 [=>............................] - ETA: 2:36 - loss: 645.0510 - 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[..............................] - ETA: 2:33 - loss: 270.5203 - logits_profile_predictions_loss: 265.8952 - logcount_predictions_loss: 0.4323 23/1134 [..............................] - ETA: 2:33 - loss: 270.5875 - logits_profile_predictions_loss: 265.9724 - logcount_predictions_loss: 0.4313 24/1134 [..............................] - ETA: 2:33 - loss: 270.6534 - logits_profile_predictions_loss: 266.0476 - logcount_predictions_loss: 0.4304 25/1134 [..............................] - ETA: 2:33 - loss: 270.6986 - logits_profile_predictions_loss: 266.1034 - logcount_predictions_loss: 0.4295 26/1134 [..............................] - ETA: 2:33 - loss: 270.7078 - logits_profile_predictions_loss: 266.1235 - logcount_predictions_loss: 0.4284 27/1134 [..............................] - ETA: 2:33 - loss: 270.7405 - logits_profile_predictions_loss: 266.1659 - logcount_predictions_loss: 0.4275 28/1134 [..............................] - ETA: 2:33 - loss: 270.7506 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:26 - loss: 272.6780 - logits_profile_predictions_loss: 268.2644 - logcount_predictions_loss: 0.4125 89/1134 [=>............................] - ETA: 2:26 - loss: 272.6994 - logits_profile_predictions_loss: 268.2857 - logcount_predictions_loss: 0.4125 90/1134 [=>............................] - ETA: 2:26 - loss: 272.7200 - logits_profile_predictions_loss: 268.3062 - logcount_predictions_loss: 0.4125 91/1134 [=>............................] - ETA: 2:26 - loss: 272.7401 - logits_profile_predictions_loss: 268.3261 - logcount_predictions_loss: 0.4125 92/1134 [=>............................] - ETA: 2:26 - loss: 272.7582 - logits_profile_predictions_loss: 268.3442 - logcount_predictions_loss: 0.4125 93/1134 [=>............................] - ETA: 2:25 - loss: 272.7750 - logits_profile_predictions_loss: 268.3610 - logcount_predictions_loss: 0.4125 94/1134 [=>............................] - ETA: 2:25 - loss: 272.7906 - logits_profile_predictions_loss: 268.3766 - logcount_predictions_loss: 0.4125 95/1134 [=>............................] - ETA: 2:25 - loss: 272.8078 - logits_profile_predictions_loss: 268.3939 - logcount_predictions_loss: 0.4125 96/1134 [=>............................] - ETA: 2:25 - loss: 272.8247 - logits_profile_predictions_loss: 268.4107 - logcount_predictions_loss: 0.4125 97/1134 [=>............................] - ETA: 2:25 - loss: 272.8453 - logits_profile_predictions_loss: 268.4313 - logcount_predictions_loss: 0.4125 98/1134 [=>............................] - ETA: 2:25 - loss: 272.8648 - logits_profile_predictions_loss: 268.4509 - logcount_predictions_loss: 0.4125 99/1134 [=>............................] - ETA: 2:25 - loss: 272.8840 - logits_profile_predictions_loss: 268.4701 - logcount_predictions_loss: 0.4125 100/1134 [=>............................] - ETA: 2:24 - loss: 272.9032 - logits_profile_predictions_loss: 268.4894 - logcount_predictions_loss: 0.4125 101/1134 [=>............................] - ETA: 2:24 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0.4125 108/1134 [=>............................] - ETA: 2:23 - loss: 273.0602 - logits_profile_predictions_loss: 268.6461 - logcount_predictions_loss: 0.4125 109/1134 [=>............................] - ETA: 2:23 - loss: 273.0809 - logits_profile_predictions_loss: 268.6667 - logcount_predictions_loss: 0.4125 110/1134 [=>............................] - ETA: 2:23 - loss: 273.0994 - logits_profile_predictions_loss: 268.6852 - logcount_predictions_loss: 0.4125 111/1134 [=>............................] - ETA: 2:23 - loss: 273.1174 - logits_profile_predictions_loss: 268.7033 - logcount_predictions_loss: 0.4125 112/1134 [=>............................] - ETA: 2:23 - loss: 273.1343 - logits_profile_predictions_loss: 268.7202 - logcount_predictions_loss: 0.4125 113/1134 [=>............................] - ETA: 2:23 - loss: 273.1497 - logits_profile_predictions_loss: 268.7354 - logcount_predictions_loss: 0.4126 114/1134 [==>...........................] - ETA: 2:23 - loss: 273.1640 - 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[==>...........................] - ETA: 2:22 - loss: 273.2497 - logits_profile_predictions_loss: 268.8355 - logcount_predictions_loss: 0.4125 122/1134 [==>...........................] - ETA: 2:21 - loss: 273.2599 - logits_profile_predictions_loss: 268.8457 - logcount_predictions_loss: 0.4125 123/1134 [==>...........................] - ETA: 2:21 - loss: 273.2674 - logits_profile_predictions_loss: 268.8533 - logcount_predictions_loss: 0.4125 124/1134 [==>...........................] - ETA: 2:21 - loss: 273.2719 - logits_profile_predictions_loss: 268.8579 - logcount_predictions_loss: 0.4125 125/1134 [==>...........................] - ETA: 2:21 - loss: 273.2798 - logits_profile_predictions_loss: 268.8658 - logcount_predictions_loss: 0.4125 126/1134 [==>...........................] - ETA: 2:21 - loss: 273.2884 - logits_profile_predictions_loss: 268.8744 - logcount_predictions_loss: 0.4125 127/1134 [==>...........................] - ETA: 2:21 - loss: 273.2983 - 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[==>...........................] - ETA: 2:20 - loss: 273.3795 - logits_profile_predictions_loss: 268.9661 - logcount_predictions_loss: 0.4125 135/1134 [==>...........................] - ETA: 2:20 - loss: 273.3904 - logits_profile_predictions_loss: 268.9771 - logcount_predictions_loss: 0.4125 136/1134 [==>...........................] - ETA: 2:20 - loss: 273.4021 - logits_profile_predictions_loss: 268.9889 - logcount_predictions_loss: 0.4125 137/1134 [==>...........................] - ETA: 2:19 - loss: 273.4129 - logits_profile_predictions_loss: 268.9998 - logcount_predictions_loss: 0.4124 138/1134 [==>...........................] - ETA: 2:19 - loss: 273.4217 - logits_profile_predictions_loss: 269.0088 - logcount_predictions_loss: 0.4124 139/1134 [==>...........................] - ETA: 2:19 - loss: 273.4317 - logits_profile_predictions_loss: 269.0189 - logcount_predictions_loss: 0.4124 140/1134 [==>...........................] - ETA: 2:19 - loss: 273.4412 - 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[==>...........................] - ETA: 2:18 - loss: 273.5069 - logits_profile_predictions_loss: 269.0941 - logcount_predictions_loss: 0.4124 148/1134 [==>...........................] - ETA: 2:18 - loss: 273.5172 - logits_profile_predictions_loss: 269.1042 - logcount_predictions_loss: 0.4124 149/1134 [==>...........................] - ETA: 2:18 - loss: 273.5272 - logits_profile_predictions_loss: 269.1141 - logcount_predictions_loss: 0.4124 150/1134 [==>...........................] - ETA: 2:18 - loss: 273.5374 - logits_profile_predictions_loss: 269.1241 - logcount_predictions_loss: 0.4125 151/1134 [==>...........................] - ETA: 2:18 - loss: 273.5474 - logits_profile_predictions_loss: 269.1341 - logcount_predictions_loss: 0.4125 152/1134 [===>..........................] - ETA: 2:17 - loss: 273.5570 - logits_profile_predictions_loss: 269.1435 - logcount_predictions_loss: 0.4125 153/1134 [===>..........................] - ETA: 2:17 - loss: 273.5653 - 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[===>..........................] - ETA: 2:16 - loss: 273.6144 - logits_profile_predictions_loss: 269.2002 - logcount_predictions_loss: 0.4125 161/1134 [===>..........................] - ETA: 2:16 - loss: 273.6199 - logits_profile_predictions_loss: 269.2057 - logcount_predictions_loss: 0.4125 162/1134 [===>..........................] - ETA: 2:16 - loss: 273.6242 - logits_profile_predictions_loss: 269.2100 - logcount_predictions_loss: 0.4125 163/1134 [===>..........................] - ETA: 2:16 - loss: 273.6281 - logits_profile_predictions_loss: 269.2139 - logcount_predictions_loss: 0.4125 164/1134 [===>..........................] - ETA: 2:16 - loss: 273.6320 - logits_profile_predictions_loss: 269.2177 - logcount_predictions_loss: 0.4126 165/1134 [===>..........................] - ETA: 2:16 - loss: 273.6351 - logits_profile_predictions_loss: 269.2207 - logcount_predictions_loss: 0.4126 166/1134 [===>..........................] - ETA: 2:15 - loss: 273.6383 - 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[===>..........................] - ETA: 2:14 - loss: 273.6553 - logits_profile_predictions_loss: 269.2405 - logcount_predictions_loss: 0.4126 174/1134 [===>..........................] - ETA: 2:14 - loss: 273.6577 - logits_profile_predictions_loss: 269.2428 - logcount_predictions_loss: 0.4126 175/1134 [===>..........................] - ETA: 2:14 - loss: 273.6596 - logits_profile_predictions_loss: 269.2447 - logcount_predictions_loss: 0.4126 176/1134 [===>..........................] - ETA: 2:14 - loss: 273.6613 - logits_profile_predictions_loss: 269.2463 - logcount_predictions_loss: 0.4126 177/1134 [===>..........................] - ETA: 2:14 - loss: 273.6629 - logits_profile_predictions_loss: 269.2479 - logcount_predictions_loss: 0.4126 178/1134 [===>..........................] - ETA: 2:14 - loss: 273.6641 - logits_profile_predictions_loss: 269.2492 - logcount_predictions_loss: 0.4126 179/1134 [===>..........................] - ETA: 2:14 - loss: 273.6657 - 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[===>..........................] - ETA: 2:13 - loss: 273.6787 - logits_profile_predictions_loss: 269.2644 - logcount_predictions_loss: 0.4126 187/1134 [===>..........................] - ETA: 2:13 - loss: 273.6816 - logits_profile_predictions_loss: 269.2673 - logcount_predictions_loss: 0.4126 188/1134 [===>..........................] - ETA: 2:12 - loss: 273.6849 - logits_profile_predictions_loss: 269.2707 - logcount_predictions_loss: 0.4125 189/1134 [====>.........................] - ETA: 2:12 - loss: 273.6885 - logits_profile_predictions_loss: 269.2744 - logcount_predictions_loss: 0.4125 190/1134 [====>.........................] - ETA: 2:12 - loss: 273.6917 - logits_profile_predictions_loss: 269.2776 - logcount_predictions_loss: 0.4125 191/1134 [====>.........................] - ETA: 2:12 - loss: 273.6951 - logits_profile_predictions_loss: 269.2810 - logcount_predictions_loss: 0.4125 192/1134 [====>.........................] - ETA: 2:12 - loss: 273.6979 - 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[====>.........................] - ETA: 2:11 - loss: 273.7079 - logits_profile_predictions_loss: 269.2940 - logcount_predictions_loss: 0.4125 200/1134 [====>.........................] - ETA: 2:11 - loss: 273.7091 - logits_profile_predictions_loss: 269.2953 - logcount_predictions_loss: 0.4125 201/1134 [====>.........................] - ETA: 2:11 - loss: 273.7101 - logits_profile_predictions_loss: 269.2964 - logcount_predictions_loss: 0.4125 202/1134 [====>.........................] - ETA: 2:10 - loss: 273.7127 - logits_profile_predictions_loss: 269.2990 - logcount_predictions_loss: 0.4125 203/1134 [====>.........................] - ETA: 2:10 - loss: 273.7150 - logits_profile_predictions_loss: 269.3013 - logcount_predictions_loss: 0.4125 204/1134 [====>.........................] - ETA: 2:10 - loss: 273.7184 - logits_profile_predictions_loss: 269.3048 - logcount_predictions_loss: 0.4125 205/1134 [====>.........................] - ETA: 2:10 - loss: 273.7216 - 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[====>.........................] - ETA: 2:09 - loss: 273.7423 - logits_profile_predictions_loss: 269.3291 - logcount_predictions_loss: 0.4125 213/1134 [====>.........................] - ETA: 2:09 - loss: 273.7456 - logits_profile_predictions_loss: 269.3325 - logcount_predictions_loss: 0.4124 214/1134 [====>.........................] - ETA: 2:09 - loss: 273.7490 - logits_profile_predictions_loss: 269.3360 - logcount_predictions_loss: 0.4124 215/1134 [====>.........................] - ETA: 2:09 - loss: 273.7524 - logits_profile_predictions_loss: 269.3394 - logcount_predictions_loss: 0.4124 216/1134 [====>.........................] - ETA: 2:09 - loss: 273.7550 - logits_profile_predictions_loss: 269.3421 - logcount_predictions_loss: 0.4124 217/1134 [====>.........................] - ETA: 2:08 - loss: 273.7572 - logits_profile_predictions_loss: 269.3444 - logcount_predictions_loss: 0.4124 218/1134 [====>.........................] - ETA: 2:08 - loss: 273.7597 - 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[..............................] - ETA: 2:39 - loss: 265.3443 - logits_profile_predictions_loss: 261.8327 - logcount_predictions_loss: 0.3282 11/1134 [..............................] - ETA: 2:39 - loss: 265.6157 - logits_profile_predictions_loss: 262.0890 - logcount_predictions_loss: 0.3296 12/1134 [..............................] - ETA: 2:39 - loss: 265.9187 - logits_profile_predictions_loss: 262.3770 - logcount_predictions_loss: 0.3310 13/1134 [..............................] - ETA: 2:38 - loss: 266.3352 - logits_profile_predictions_loss: 262.7769 - logcount_predictions_loss: 0.3325 14/1134 [..............................] - ETA: 2:38 - loss: 266.8505 - logits_profile_predictions_loss: 263.2772 - logcount_predictions_loss: 0.3340 15/1134 [..............................] - ETA: 2:38 - loss: 267.3697 - logits_profile_predictions_loss: 263.7841 - logcount_predictions_loss: 0.3351 16/1134 [..............................] - ETA: 2:38 - loss: 267.7156 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:29 - loss: 272.4772 - logits_profile_predictions_loss: 268.5675 - logcount_predictions_loss: 0.3654 77/1134 [=>............................] - ETA: 2:29 - loss: 272.4910 - logits_profile_predictions_loss: 268.5791 - logcount_predictions_loss: 0.3656 78/1134 [=>............................] - ETA: 2:28 - loss: 272.5057 - logits_profile_predictions_loss: 268.5916 - logcount_predictions_loss: 0.3658 79/1134 [=>............................] - ETA: 2:28 - loss: 272.5166 - logits_profile_predictions_loss: 268.6004 - logcount_predictions_loss: 0.3660 80/1134 [=>............................] - ETA: 2:28 - loss: 272.5253 - logits_profile_predictions_loss: 268.6070 - logcount_predictions_loss: 0.3662 81/1134 [=>............................] - ETA: 2:28 - loss: 272.5316 - logits_profile_predictions_loss: 268.6112 - logcount_predictions_loss: 0.3664 82/1134 [=>............................] - ETA: 2:28 - loss: 272.5410 - logits_profile_predictions_loss: 268.6186 - logcount_predictions_loss: 0.3666 83/1134 [=>............................] - ETA: 2:28 - loss: 272.5520 - logits_profile_predictions_loss: 268.6280 - logcount_predictions_loss: 0.3667 84/1134 [=>............................] - ETA: 2:28 - loss: 272.5604 - logits_profile_predictions_loss: 268.6346 - logcount_predictions_loss: 0.3669 85/1134 [=>............................] - ETA: 2:27 - loss: 272.5682 - logits_profile_predictions_loss: 268.6408 - logcount_predictions_loss: 0.3670 86/1134 [=>............................] - ETA: 2:27 - loss: 272.5762 - logits_profile_predictions_loss: 268.6473 - logcount_predictions_loss: 0.3672 87/1134 [=>............................] - ETA: 2:27 - loss: 272.5810 - logits_profile_predictions_loss: 268.6506 - logcount_predictions_loss: 0.3673 88/1134 [=>............................] - ETA: 2:27 - loss: 272.5867 - logits_profile_predictions_loss: 268.6547 - logcount_predictions_loss: 0.3675 89/1134 [=>............................] - ETA: 2:27 - loss: 272.5950 - logits_profile_predictions_loss: 268.6615 - logcount_predictions_loss: 0.3676 90/1134 [=>............................] - ETA: 2:27 - loss: 272.6030 - logits_profile_predictions_loss: 268.6680 - logcount_predictions_loss: 0.3678 91/1134 [=>............................] - ETA: 2:27 - loss: 272.6117 - logits_profile_predictions_loss: 268.6753 - logcount_predictions_loss: 0.3679 92/1134 [=>............................] - ETA: 2:26 - loss: 272.6226 - logits_profile_predictions_loss: 268.6849 - logcount_predictions_loss: 0.3680 93/1134 [=>............................] - ETA: 2:26 - loss: 272.6345 - logits_profile_predictions_loss: 268.6955 - logcount_predictions_loss: 0.3681 94/1134 [=>............................] - ETA: 2:26 - loss: 272.6462 - logits_profile_predictions_loss: 268.7057 - logcount_predictions_loss: 0.3683 95/1134 [=>............................] - ETA: 2:26 - loss: 272.6589 - logits_profile_predictions_loss: 268.7170 - logcount_predictions_loss: 0.3684 96/1134 [=>............................] - ETA: 2:26 - loss: 272.6691 - logits_profile_predictions_loss: 268.7259 - logcount_predictions_loss: 0.3685 97/1134 [=>............................] - ETA: 2:26 - loss: 272.6799 - logits_profile_predictions_loss: 268.7355 - logcount_predictions_loss: 0.3686 98/1134 [=>............................] - ETA: 2:26 - loss: 272.6893 - logits_profile_predictions_loss: 268.7439 - logcount_predictions_loss: 0.3687 99/1134 [=>............................] - ETA: 2:25 - loss: 272.6952 - logits_profile_predictions_loss: 268.7486 - logcount_predictions_loss: 0.3688 100/1134 [=>............................] - ETA: 2:25 - loss: 272.7009 - logits_profile_predictions_loss: 268.7532 - logcount_predictions_loss: 0.3689 101/1134 [=>............................] - ETA: 2:25 - loss: 272.7061 - logits_profile_predictions_loss: 268.7573 - logcount_predictions_loss: 0.3690 102/1134 [=>............................] - ETA: 2:25 - loss: 272.7094 - logits_profile_predictions_loss: 268.7597 - logcount_predictions_loss: 0.3691 103/1134 [=>............................] - ETA: 2:25 - loss: 272.7148 - logits_profile_predictions_loss: 268.7640 - logcount_predictions_loss: 0.3692 104/1134 [=>............................] - ETA: 2:25 - loss: 272.7160 - logits_profile_predictions_loss: 268.7644 - logcount_predictions_loss: 0.3693 105/1134 [=>............................] - ETA: 2:25 - loss: 272.7177 - logits_profile_predictions_loss: 268.7652 - logcount_predictions_loss: 0.3694 106/1134 [=>............................] - ETA: 2:24 - loss: 272.7191 - logits_profile_predictions_loss: 268.7659 - logcount_predictions_loss: 0.3695 107/1134 [=>............................] - ETA: 2:24 - loss: 272.7190 - logits_profile_predictions_loss: 268.7650 - logcount_predictions_loss: 0.3695 108/1134 [=>............................] - ETA: 2:24 - loss: 272.7182 - logits_profile_predictions_loss: 268.7634 - logcount_predictions_loss: 0.3696 109/1134 [=>............................] - ETA: 2:24 - loss: 272.7170 - logits_profile_predictions_loss: 268.7614 - logcount_predictions_loss: 0.3697 110/1134 [=>............................] - ETA: 2:24 - loss: 272.7163 - logits_profile_predictions_loss: 268.7600 - logcount_predictions_loss: 0.3698 111/1134 [=>............................] - ETA: 2:24 - loss: 272.7165 - logits_profile_predictions_loss: 268.7595 - logcount_predictions_loss: 0.3698 112/1134 [=>............................] - ETA: 2:24 - loss: 272.7177 - logits_profile_predictions_loss: 268.7601 - logcount_predictions_loss: 0.3699 113/1134 [=>............................] - ETA: 2:23 - loss: 272.7199 - logits_profile_predictions_loss: 268.7618 - logcount_predictions_loss: 0.3699 114/1134 [==>...........................] - ETA: 2:23 - loss: 272.7223 - logits_profile_predictions_loss: 268.7635 - logcount_predictions_loss: 0.3700 115/1134 [==>...........................] - ETA: 2:23 - loss: 272.7245 - logits_profile_predictions_loss: 268.7651 - logcount_predictions_loss: 0.3700 116/1134 [==>...........................] - ETA: 2:23 - loss: 272.7275 - logits_profile_predictions_loss: 268.7675 - logcount_predictions_loss: 0.3701 117/1134 [==>...........................] - ETA: 2:23 - loss: 272.7290 - logits_profile_predictions_loss: 268.7682 - logcount_predictions_loss: 0.3702 118/1134 [==>...........................] - ETA: 2:23 - loss: 272.7294 - logits_profile_predictions_loss: 268.7679 - logcount_predictions_loss: 0.3702 119/1134 [==>...........................] - ETA: 2:23 - loss: 272.7278 - logits_profile_predictions_loss: 268.7657 - logcount_predictions_loss: 0.3703 120/1134 [==>...........................] - ETA: 2:22 - loss: 272.7268 - logits_profile_predictions_loss: 268.7640 - logcount_predictions_loss: 0.3704 121/1134 [==>...........................] - ETA: 2:22 - loss: 272.7256 - logits_profile_predictions_loss: 268.7621 - logcount_predictions_loss: 0.3704 122/1134 [==>...........................] - ETA: 2:22 - loss: 272.7242 - logits_profile_predictions_loss: 268.7602 - logcount_predictions_loss: 0.3705 123/1134 [==>...........................] - ETA: 2:22 - loss: 272.7236 - logits_profile_predictions_loss: 268.7590 - logcount_predictions_loss: 0.3705 124/1134 [==>...........................] - ETA: 2:22 - loss: 272.7221 - logits_profile_predictions_loss: 268.7570 - logcount_predictions_loss: 0.3706 125/1134 [==>...........................] - ETA: 2:22 - loss: 272.7186 - logits_profile_predictions_loss: 268.7529 - logcount_predictions_loss: 0.3706 126/1134 [==>...........................] - ETA: 2:22 - loss: 272.7158 - logits_profile_predictions_loss: 268.7496 - logcount_predictions_loss: 0.3707 127/1134 [==>...........................] - ETA: 2:21 - loss: 272.7140 - logits_profile_predictions_loss: 268.7472 - logcount_predictions_loss: 0.3707 128/1134 [==>...........................] - ETA: 2:21 - loss: 272.7117 - logits_profile_predictions_loss: 268.7444 - logcount_predictions_loss: 0.3708 129/1134 [==>...........................] - ETA: 2:21 - loss: 272.7118 - logits_profile_predictions_loss: 268.7440 - logcount_predictions_loss: 0.3708 130/1134 [==>...........................] - ETA: 2:21 - loss: 272.7131 - logits_profile_predictions_loss: 268.7448 - logcount_predictions_loss: 0.3709 131/1134 [==>...........................] - ETA: 2:21 - loss: 272.7143 - logits_profile_predictions_loss: 268.7456 - logcount_predictions_loss: 0.3709 132/1134 [==>...........................] - ETA: 2:21 - loss: 272.7162 - logits_profile_predictions_loss: 268.7469 - logcount_predictions_loss: 0.3710 133/1134 [==>...........................] - ETA: 2:21 - loss: 272.7184 - logits_profile_predictions_loss: 268.7488 - logcount_predictions_loss: 0.3710 134/1134 [==>...........................] - ETA: 2:20 - loss: 272.7206 - logits_profile_predictions_loss: 268.7505 - logcount_predictions_loss: 0.3710 135/1134 [==>...........................] - ETA: 2:20 - loss: 272.7234 - logits_profile_predictions_loss: 268.7529 - logcount_predictions_loss: 0.3711 136/1134 [==>...........................] - ETA: 2:20 - loss: 272.7253 - logits_profile_predictions_loss: 268.7543 - logcount_predictions_loss: 0.3711 137/1134 [==>...........................] - ETA: 2:20 - loss: 272.7264 - logits_profile_predictions_loss: 268.7550 - logcount_predictions_loss: 0.3712 138/1134 [==>...........................] - ETA: 2:20 - loss: 272.7265 - logits_profile_predictions_loss: 268.7546 - logcount_predictions_loss: 0.3712 139/1134 [==>...........................] - ETA: 2:20 - loss: 272.7270 - logits_profile_predictions_loss: 268.7546 - logcount_predictions_loss: 0.3712 140/1134 [==>...........................] - ETA: 2:20 - loss: 272.7277 - logits_profile_predictions_loss: 268.7548 - logcount_predictions_loss: 0.3713 141/1134 [==>...........................] - ETA: 2:19 - loss: 272.7295 - logits_profile_predictions_loss: 268.7562 - logcount_predictions_loss: 0.3713 142/1134 [==>...........................] - ETA: 2:19 - loss: 272.7323 - logits_profile_predictions_loss: 268.7585 - logcount_predictions_loss: 0.3714 143/1134 [==>...........................] - ETA: 2:19 - loss: 272.7356 - logits_profile_predictions_loss: 268.7613 - logcount_predictions_loss: 0.3714 144/1134 [==>...........................] - ETA: 2:19 - loss: 272.7393 - logits_profile_predictions_loss: 268.7646 - logcount_predictions_loss: 0.3715 145/1134 [==>...........................] - ETA: 2:19 - loss: 272.7435 - logits_profile_predictions_loss: 268.7684 - logcount_predictions_loss: 0.3715 146/1134 [==>...........................] - ETA: 2:19 - loss: 272.7471 - logits_profile_predictions_loss: 268.7715 - logcount_predictions_loss: 0.3715 147/1134 [==>...........................] - ETA: 2:19 - loss: 272.7516 - logits_profile_predictions_loss: 268.7756 - logcount_predictions_loss: 0.3716 148/1134 [==>...........................] - ETA: 2:18 - loss: 272.7555 - logits_profile_predictions_loss: 268.7792 - logcount_predictions_loss: 0.3716 149/1134 [==>...........................] - ETA: 2:18 - loss: 272.7602 - logits_profile_predictions_loss: 268.7835 - logcount_predictions_loss: 0.3717 150/1134 [==>...........................] - ETA: 2:18 - loss: 272.7646 - logits_profile_predictions_loss: 268.7875 - logcount_predictions_loss: 0.3717 151/1134 [==>...........................] - ETA: 2:18 - loss: 272.7687 - logits_profile_predictions_loss: 268.7913 - logcount_predictions_loss: 0.3717 152/1134 [===>..........................] - ETA: 2:18 - loss: 272.7722 - logits_profile_predictions_loss: 268.7943 - logcount_predictions_loss: 0.3718 153/1134 [===>..........................] - ETA: 2:18 - loss: 272.7761 - logits_profile_predictions_loss: 268.7978 - logcount_predictions_loss: 0.3718 154/1134 [===>..........................] - ETA: 2:18 - loss: 272.7798 - logits_profile_predictions_loss: 268.8012 - logcount_predictions_loss: 0.3718 155/1134 [===>..........................] - ETA: 2:17 - loss: 272.7847 - logits_profile_predictions_loss: 268.8058 - logcount_predictions_loss: 0.3719 156/1134 [===>..........................] - ETA: 2:17 - loss: 272.7894 - logits_profile_predictions_loss: 268.8100 - logcount_predictions_loss: 0.3719 157/1134 [===>..........................] - ETA: 2:17 - loss: 272.7939 - logits_profile_predictions_loss: 268.8141 - logcount_predictions_loss: 0.3719 158/1134 [===>..........................] - ETA: 2:17 - loss: 272.7981 - logits_profile_predictions_loss: 268.8180 - logcount_predictions_loss: 0.3720 159/1134 [===>..........................] - ETA: 2:17 - loss: 272.8022 - logits_profile_predictions_loss: 268.8217 - logcount_predictions_loss: 0.3720 160/1134 [===>..........................] - ETA: 2:17 - loss: 272.8051 - logits_profile_predictions_loss: 268.8243 - logcount_predictions_loss: 0.3720 161/1134 [===>..........................] - ETA: 2:17 - loss: 272.8080 - logits_profile_predictions_loss: 268.8268 - logcount_predictions_loss: 0.3721 162/1134 [===>..........................] - ETA: 2:16 - loss: 272.8108 - logits_profile_predictions_loss: 268.8292 - logcount_predictions_loss: 0.3721 163/1134 [===>..........................] - ETA: 2:16 - loss: 272.8143 - logits_profile_predictions_loss: 268.8323 - logcount_predictions_loss: 0.3721 164/1134 [===>..........................] - ETA: 2:16 - loss: 272.8170 - logits_profile_predictions_loss: 268.8345 - logcount_predictions_loss: 0.3722 165/1134 [===>..........................] - ETA: 2:16 - loss: 272.8198 - logits_profile_predictions_loss: 268.8370 - logcount_predictions_loss: 0.3722 166/1134 [===>..........................] - ETA: 2:16 - loss: 272.8213 - logits_profile_predictions_loss: 268.8381 - logcount_predictions_loss: 0.3723 167/1134 [===>..........................] - ETA: 2:16 - loss: 272.8228 - logits_profile_predictions_loss: 268.8392 - logcount_predictions_loss: 0.3723 168/1134 [===>..........................] - ETA: 2:16 - loss: 272.8249 - logits_profile_predictions_loss: 268.8409 - logcount_predictions_loss: 0.3723 169/1134 [===>..........................] - ETA: 2:15 - loss: 272.8277 - logits_profile_predictions_loss: 268.8433 - logcount_predictions_loss: 0.3724 170/1134 [===>..........................] - ETA: 2:15 - loss: 272.8293 - logits_profile_predictions_loss: 268.8444 - logcount_predictions_loss: 0.3724 171/1134 [===>..........................] - ETA: 2:15 - loss: 272.8306 - logits_profile_predictions_loss: 268.8453 - logcount_predictions_loss: 0.3725 172/1134 [===>..........................] - ETA: 2:15 - loss: 272.8321 - logits_profile_predictions_loss: 268.8463 - logcount_predictions_loss: 0.3725 173/1134 [===>..........................] - ETA: 2:15 - loss: 272.8341 - logits_profile_predictions_loss: 268.8478 - logcount_predictions_loss: 0.3725 174/1134 [===>..........................] - ETA: 2:15 - loss: 272.8358 - logits_profile_predictions_loss: 268.8491 - logcount_predictions_loss: 0.3726 175/1134 [===>..........................] - ETA: 2:15 - loss: 272.8374 - logits_profile_predictions_loss: 268.8503 - logcount_predictions_loss: 0.3726 176/1134 [===>..........................] - ETA: 2:14 - loss: 272.8379 - logits_profile_predictions_loss: 268.8505 - logcount_predictions_loss: 0.3727 177/1134 [===>..........................] - ETA: 2:14 - loss: 272.8390 - logits_profile_predictions_loss: 268.8511 - logcount_predictions_loss: 0.3727 178/1134 [===>..........................] - ETA: 2:14 - loss: 272.8402 - logits_profile_predictions_loss: 268.8520 - logcount_predictions_loss: 0.3727 179/1134 [===>..........................] - ETA: 2:14 - loss: 272.8420 - logits_profile_predictions_loss: 268.8535 - logcount_predictions_loss: 0.3728 180/1134 [===>..........................] - ETA: 2:14 - loss: 272.8438 - logits_profile_predictions_loss: 268.8549 - logcount_predictions_loss: 0.3728 181/1134 [===>..........................] - ETA: 2:14 - loss: 272.8460 - logits_profile_predictions_loss: 268.8568 - logcount_predictions_loss: 0.3728 182/1134 [===>..........................] - ETA: 2:14 - loss: 272.8482 - logits_profile_predictions_loss: 268.8586 - logcount_predictions_loss: 0.3729 183/1134 [===>..........................] - ETA: 2:14 - loss: 272.8508 - logits_profile_predictions_loss: 268.8608 - logcount_predictions_loss: 0.3729 184/1134 [===>..........................] - ETA: 2:13 - loss: 272.8530 - logits_profile_predictions_loss: 268.8627 - logcount_predictions_loss: 0.3729 185/1134 [===>..........................] - ETA: 2:13 - loss: 272.8554 - logits_profile_predictions_loss: 268.8647 - logcount_predictions_loss: 0.3730 186/1134 [===>..........................] - ETA: 2:13 - loss: 272.8574 - logits_profile_predictions_loss: 268.8664 - logcount_predictions_loss: 0.3730 187/1134 [===>..........................] - ETA: 2:13 - loss: 272.8600 - logits_profile_predictions_loss: 268.8686 - logcount_predictions_loss: 0.3730 188/1134 [===>..........................] - ETA: 2:13 - loss: 272.8619 - logits_profile_predictions_loss: 268.8702 - logcount_predictions_loss: 0.3731 189/1134 [====>.........................] - ETA: 2:13 - loss: 272.8643 - logits_profile_predictions_loss: 268.8723 - logcount_predictions_loss: 0.3731 190/1134 [====>.........................] - ETA: 2:13 - loss: 272.8668 - logits_profile_predictions_loss: 268.8745 - logcount_predictions_loss: 0.3731 191/1134 [====>.........................] - ETA: 2:12 - loss: 272.8686 - logits_profile_predictions_loss: 268.8761 - logcount_predictions_loss: 0.3731 192/1134 [====>.........................] - ETA: 2:12 - loss: 272.8706 - logits_profile_predictions_loss: 268.8777 - logcount_predictions_loss: 0.3732 193/1134 [====>.........................] - ETA: 2:12 - loss: 272.8718 - logits_profile_predictions_loss: 268.8786 - logcount_predictions_loss: 0.3732 194/1134 [====>.........................] - ETA: 2:12 - loss: 272.8732 - logits_profile_predictions_loss: 268.8797 - logcount_predictions_loss: 0.3732 195/1134 [====>.........................] - ETA: 2:12 - loss: 272.8746 - logits_profile_predictions_loss: 268.8808 - logcount_predictions_loss: 0.3732 196/1134 [====>.........................] - ETA: 2:12 - loss: 272.8762 - logits_profile_predictions_loss: 268.8821 - logcount_predictions_loss: 0.3733 197/1134 [====>.........................] - ETA: 2:12 - loss: 272.8784 - logits_profile_predictions_loss: 268.8840 - logcount_predictions_loss: 0.3733 198/1134 [====>.........................] - ETA: 2:11 - loss: 272.8795 - logits_profile_predictions_loss: 268.8848 - logcount_predictions_loss: 0.3733 199/1134 [====>.........................] - ETA: 2:11 - loss: 272.8811 - logits_profile_predictions_loss: 268.8862 - logcount_predictions_loss: 0.3734 200/1134 [====>.........................] - ETA: 2:11 - loss: 272.8820 - logits_profile_predictions_loss: 268.8868 - logcount_predictions_loss: 0.3734 201/1134 [====>.........................] - ETA: 2:11 - loss: 272.8823 - logits_profile_predictions_loss: 268.8868 - logcount_predictions_loss: 0.3734 202/1134 [====>.........................] - ETA: 2:11 - loss: 272.8821 - logits_profile_predictions_loss: 268.8864 - logcount_predictions_loss: 0.3734 203/1134 [====>.........................] - ETA: 2:11 - loss: 272.8818 - logits_profile_predictions_loss: 268.8860 - logcount_predictions_loss: 0.3734 204/1134 [====>.........................] - ETA: 2:11 - loss: 272.8810 - logits_profile_predictions_loss: 268.8850 - logcount_predictions_loss: 0.3735 205/1134 [====>.........................] - ETA: 2:10 - loss: 272.8801 - logits_profile_predictions_loss: 268.8839 - logcount_predictions_loss: 0.3735 206/1134 [====>.........................] - ETA: 2:10 - loss: 272.8785 - logits_profile_predictions_loss: 268.8823 - logcount_predictions_loss: 0.3735 207/1134 [====>.........................] - ETA: 2:10 - loss: 272.8778 - logits_profile_predictions_loss: 268.8814 - logcount_predictions_loss: 0.3735 208/1134 [====>.........................] - ETA: 2:10 - loss: 272.8775 - logits_profile_predictions_loss: 268.8810 - logcount_predictions_loss: 0.3735 209/1134 [====>.........................] - ETA: 2:10 - loss: 272.8772 - logits_profile_predictions_loss: 268.8805 - logcount_predictions_loss: 0.3735 210/1134 [====>.........................] - ETA: 2:10 - loss: 272.8769 - logits_profile_predictions_loss: 268.8801 - logcount_predictions_loss: 0.3735 211/1134 [====>.........................] - ETA: 2:10 - loss: 272.8767 - logits_profile_predictions_loss: 268.8799 - logcount_predictions_loss: 0.3735 212/1134 [====>.........................] - ETA: 2:09 - loss: 272.8762 - logits_profile_predictions_loss: 268.8793 - logcount_predictions_loss: 0.3735 213/1134 [====>.........................] - ETA: 2:09 - loss: 272.8754 - logits_profile_predictions_loss: 268.8784 - logcount_predictions_loss: 0.3735 214/1134 [====>.........................] - ETA: 2:09 - loss: 272.8745 - logits_profile_predictions_loss: 268.8775 - logcount_predictions_loss: 0.3736 215/1134 [====>.........................] - ETA: 2:09 - loss: 272.8729 - logits_profile_predictions_loss: 268.8758 - logcount_predictions_loss: 0.3736 216/1134 [====>.........................] - ETA: 2:09 - loss: 272.8715 - logits_profile_predictions_loss: 268.8743 - logcount_predictions_loss: 0.3736 217/1134 [====>.........................] - ETA: 2:09 - loss: 272.8693 - logits_profile_predictions_loss: 268.8722 - logcount_predictions_loss: 0.3736 218/1134 [====>.........................] - ETA: 2:09 - loss: 272.8669 - logits_profile_predictions_loss: 268.8697 - logcount_predictions_loss: 0.3736 219/1134 [====>.........................] - ETA: 2:08 - loss: 272.8640 - logits_profile_predictions_loss: 268.8669 - logcount_predictions_loss: 0.3736 220/1134 [====>.........................] - ETA: 2:08 - loss: 272.8621 - logits_profile_predictions_loss: 268.8649 - logcount_predictions_loss: 0.3736 221/1134 [====>.........................] - ETA: 2:08 - loss: 272.8600 - logits_profile_predictions_loss: 268.8628 - logcount_predictions_loss: 0.3736 222/1134 [====>.........................] - ETA: 2:08 - loss: 272.8579 - logits_profile_predictions_loss: 268.8607 - logcount_predictions_loss: 0.3736 223/1134 [====>.........................] - ETA: 2:08 - loss: 272.8558 - logits_profile_predictions_loss: 268.8585 - logcount_predictions_loss: 0.3736 224/1134 [====>.........................] - ETA: 2:08 - loss: 272.8539 - logits_profile_predictions_loss: 268.8565 - logcount_predictions_loss: 0.3736 225/1134 [====>.........................] - ETA: 2:08 - loss: 272.8525 - logits_profile_predictions_loss: 268.8551 - logcount_predictions_loss: 0.3736 226/1134 [====>.........................] - ETA: 2:07 - loss: 272.8515 - logits_profile_predictions_loss: 268.8541 - logcount_predictions_loss: 0.3736 227/1134 [=====>........................] - ETA: 2:07 - loss: 272.8511 - logits_profile_predictions_loss: 268.8537 - logcount_predictions_loss: 0.3736 228/1134 [=====>........................] - ETA: 2:07 - loss: 272.8509 - logits_profile_predictions_loss: 268.8535 - logcount_predictions_loss: 0.3736 229/1134 [=====>........................] - ETA: 2:07 - loss: 272.8507 - logits_profile_predictions_loss: 268.8533 - logcount_predictions_loss: 0.3736 230/1134 [=====>........................] - ETA: 2:07 - loss: 272.8504 - logits_profile_predictions_loss: 268.8530 - logcount_predictions_loss: 0.3736 231/1134 [=====>........................] - ETA: 2:07 - loss: 272.8499 - logits_profile_predictions_loss: 268.8524 - logcount_predictions_loss: 0.3736 232/1134 [=====>........................] - ETA: 2:07 - loss: 272.8494 - logits_profile_predictions_loss: 268.8519 - logcount_predictions_loss: 0.3736 233/1134 [=====>........................] - ETA: 2:06 - loss: 272.8487 - logits_profile_predictions_loss: 268.8513 - logcount_predictions_loss: 0.3736 234/1134 [=====>........................] - ETA: 2:06 - loss: 272.8479 - logits_profile_predictions_loss: 268.8506 - logcount_predictions_loss: 0.3736 235/1134 [=====>........................] - ETA: 2:06 - loss: 272.8467 - logits_profile_predictions_loss: 268.8494 - logcount_predictions_loss: 0.3736 236/1134 [=====>........................] - ETA: 2:06 - loss: 272.8452 - logits_profile_predictions_loss: 268.8479 - logcount_predictions_loss: 0.3736 237/1134 [=====>........................] - ETA: 2:06 - loss: 272.8437 - logits_profile_predictions_loss: 268.8464 - logcount_predictions_loss: 0.3736 238/1134 [=====>........................] - ETA: 2:06 - loss: 272.8425 - logits_profile_predictions_loss: 268.8451 - logcount_predictions_loss: 0.3736 239/1134 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logits_profile_predictions_loss: 268.8187 - logcount_predictions_loss: 0.3737 259/1134 [=====>........................] - ETA: 2:03 - loss: 272.8168 - logits_profile_predictions_loss: 268.8181 - logcount_predictions_loss: 0.3737 260/1134 [=====>........................] - ETA: 2:03 - loss: 272.8163 - logits_profile_predictions_loss: 268.8175 - logcount_predictions_loss: 0.3737 261/1134 [=====>........................] - ETA: 2:03 - loss: 272.8157 - logits_profile_predictions_loss: 268.8167 - logcount_predictions_loss: 0.3737 262/1134 [=====>........................] - ETA: 2:02 - loss: 272.8151 - logits_profile_predictions_loss: 268.8161 - logcount_predictions_loss: 0.3737 263/1134 [=====>........................] - ETA: 2:02 - loss: 272.8148 - logits_profile_predictions_loss: 268.8156 - logcount_predictions_loss: 0.3737 264/1134 [=====>........................] - ETA: 2:02 - loss: 272.8139 - logits_profile_predictions_loss: 268.8147 - logcount_predictions_loss: 0.3738 265/1134 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[======>.......................] - ETA: 2:00 - loss: 272.8018 - logits_profile_predictions_loss: 268.8005 - logcount_predictions_loss: 0.3740 279/1134 [======>.......................] - ETA: 2:00 - loss: 272.8007 - logits_profile_predictions_loss: 268.7992 - logcount_predictions_loss: 0.3740 280/1134 [======>.......................] - ETA: 2:00 - loss: 272.7998 - logits_profile_predictions_loss: 268.7982 - logcount_predictions_loss: 0.3740 281/1134 [======>.......................] - ETA: 2:00 - loss: 272.7988 - logits_profile_predictions_loss: 268.7971 - logcount_predictions_loss: 0.3740 282/1134 [======>.......................] - ETA: 2:00 - loss: 272.7977 - logits_profile_predictions_loss: 268.7958 - logcount_predictions_loss: 0.3740 283/1134 [======>.......................] - ETA: 1:59 - loss: 272.7964 - logits_profile_predictions_loss: 268.7944 - logcount_predictions_loss: 0.3740 284/1134 [======>.......................] - ETA: 1:59 - loss: 272.7951 - 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[======>.......................] - ETA: 1:58 - loss: 272.7813 - logits_profile_predictions_loss: 268.7784 - logcount_predictions_loss: 0.3741 292/1134 [======>.......................] - ETA: 1:58 - loss: 272.7794 - logits_profile_predictions_loss: 268.7765 - logcount_predictions_loss: 0.3741 293/1134 [======>.......................] - ETA: 1:58 - loss: 272.7777 - logits_profile_predictions_loss: 268.7747 - logcount_predictions_loss: 0.3741 294/1134 [======>.......................] - ETA: 1:58 - loss: 272.7755 - logits_profile_predictions_loss: 268.7725 - logcount_predictions_loss: 0.3741 295/1134 [======>.......................] - ETA: 1:58 - loss: 272.7736 - logits_profile_predictions_loss: 268.7705 - logcount_predictions_loss: 0.3741 296/1134 [======>.......................] - ETA: 1:58 - loss: 272.7718 - logits_profile_predictions_loss: 268.7687 - logcount_predictions_loss: 0.3741 297/1134 [======>.......................] - ETA: 1:57 - loss: 272.7702 - 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[=======>......................] - ETA: 1:56 - loss: 272.7558 - logits_profile_predictions_loss: 268.7525 - logcount_predictions_loss: 0.3741 305/1134 [=======>......................] - ETA: 1:56 - loss: 272.7532 - logits_profile_predictions_loss: 268.7500 - logcount_predictions_loss: 0.3741 306/1134 [=======>......................] - ETA: 1:56 - loss: 272.7510 - logits_profile_predictions_loss: 268.7478 - logcount_predictions_loss: 0.3741 307/1134 [=======>......................] - ETA: 1:56 - loss: 272.7488 - logits_profile_predictions_loss: 268.7456 - logcount_predictions_loss: 0.3741 308/1134 [=======>......................] - ETA: 1:56 - loss: 272.7466 - logits_profile_predictions_loss: 268.7434 - logcount_predictions_loss: 0.3741 309/1134 [=======>......................] - ETA: 1:56 - loss: 272.7443 - logits_profile_predictions_loss: 268.7411 - logcount_predictions_loss: 0.3741 310/1134 [=======>......................] - ETA: 1:56 - loss: 272.7421 - 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[==============================] - 167s 147ms/step - loss: 271.2153 - logits_profile_predictions_loss: 267.2435 - logcount_predictions_loss: 0.3712 - val_loss: 282.7138 - val_logits_profile_predictions_loss: 278.6246 - val_logcount_predictions_loss: 0.3822 + +Epoch 00003: val_loss improved from 283.48032 to 282.71384, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2/chrombpnet.h5 +Epoch 4/50 + 1/1134 [..............................] - ETA: 3:10 - loss: 272.2337 - logits_profile_predictions_loss: 268.6524 - logcount_predictions_loss: 0.3347 2/1134 [..............................] - ETA: 2:54 - loss: 267.9654 - logits_profile_predictions_loss: 264.1275 - logcount_predictions_loss: 0.3587 3/1134 [..............................] - ETA: 2:46 - loss: 268.3790 - logits_profile_predictions_loss: 264.4987 - logcount_predictions_loss: 0.3626 4/1134 [..............................] - ETA: 2:44 - loss: 268.2394 - 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[..............................] - ETA: 2:39 - loss: 267.0806 - logits_profile_predictions_loss: 263.3671 - logcount_predictions_loss: 0.3471 12/1134 [..............................] - ETA: 2:39 - loss: 267.1297 - logits_profile_predictions_loss: 263.4154 - logcount_predictions_loss: 0.3471 13/1134 [..............................] - ETA: 2:39 - loss: 267.1833 - logits_profile_predictions_loss: 263.4676 - logcount_predictions_loss: 0.3473 14/1134 [..............................] - ETA: 2:38 - loss: 267.2232 - logits_profile_predictions_loss: 263.5069 - logcount_predictions_loss: 0.3473 15/1134 [..............................] - ETA: 2:38 - loss: 267.2545 - logits_profile_predictions_loss: 263.5389 - logcount_predictions_loss: 0.3473 16/1134 [..............................] - ETA: 2:38 - loss: 267.4794 - logits_profile_predictions_loss: 263.7601 - logcount_predictions_loss: 0.3476 17/1134 [..............................] - ETA: 2:38 - loss: 267.6418 - logits_profile_predictions_loss: 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[>.............................] - ETA: 2:33 - loss: 268.4440 - logits_profile_predictions_loss: 264.6594 - logcount_predictions_loss: 0.3537 45/1134 [>.............................] - ETA: 2:33 - loss: 268.4324 - logits_profile_predictions_loss: 264.6470 - logcount_predictions_loss: 0.3538 46/1134 [>.............................] - ETA: 2:33 - loss: 268.4072 - logits_profile_predictions_loss: 264.6216 - logcount_predictions_loss: 0.3538 47/1134 [>.............................] - ETA: 2:33 - loss: 268.3947 - logits_profile_predictions_loss: 264.6091 - logcount_predictions_loss: 0.3538 48/1134 [>.............................] - ETA: 2:33 - loss: 268.3795 - logits_profile_predictions_loss: 264.5936 - logcount_predictions_loss: 0.3538 49/1134 [>.............................] - ETA: 2:33 - loss: 268.3725 - logits_profile_predictions_loss: 264.5864 - logcount_predictions_loss: 0.3538 50/1134 [>.............................] - ETA: 2:32 - loss: 268.3609 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:28 - loss: 268.0924 - logits_profile_predictions_loss: 264.2901 - logcount_predictions_loss: 0.3554 78/1134 [=>............................] - ETA: 2:28 - loss: 268.0877 - logits_profile_predictions_loss: 264.2849 - logcount_predictions_loss: 0.3554 79/1134 [=>............................] - ETA: 2:28 - loss: 268.0858 - logits_profile_predictions_loss: 264.2825 - logcount_predictions_loss: 0.3555 80/1134 [=>............................] - ETA: 2:28 - loss: 268.0836 - logits_profile_predictions_loss: 264.2797 - logcount_predictions_loss: 0.3555 81/1134 [=>............................] - ETA: 2:28 - loss: 268.0841 - logits_profile_predictions_loss: 264.2797 - logcount_predictions_loss: 0.3556 82/1134 [=>............................] - ETA: 2:28 - loss: 268.0843 - logits_profile_predictions_loss: 264.2795 - logcount_predictions_loss: 0.3556 83/1134 [=>............................] - ETA: 2:28 - loss: 268.0856 - logits_profile_predictions_loss: 264.2804 - logcount_predictions_loss: 0.3556 84/1134 [=>............................] - ETA: 2:27 - loss: 268.0849 - logits_profile_predictions_loss: 264.2793 - logcount_predictions_loss: 0.3557 85/1134 [=>............................] - ETA: 2:27 - loss: 268.0831 - logits_profile_predictions_loss: 264.2773 - logcount_predictions_loss: 0.3557 86/1134 [=>............................] - ETA: 2:27 - loss: 268.0805 - logits_profile_predictions_loss: 264.2746 - logcount_predictions_loss: 0.3557 87/1134 [=>............................] - ETA: 2:27 - loss: 268.0735 - logits_profile_predictions_loss: 264.2674 - logcount_predictions_loss: 0.3557 88/1134 [=>............................] - ETA: 2:27 - loss: 268.0676 - logits_profile_predictions_loss: 264.2613 - logcount_predictions_loss: 0.3557 89/1134 [=>............................] - ETA: 2:27 - loss: 268.0591 - logits_profile_predictions_loss: 264.2525 - logcount_predictions_loss: 0.3558 90/1134 [=>............................] - ETA: 2:27 - 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97/1134 [=>............................] - ETA: 2:26 - loss: 267.9739 - logits_profile_predictions_loss: 264.1649 - logcount_predictions_loss: 0.3560 98/1134 [=>............................] - ETA: 2:25 - loss: 267.9585 - logits_profile_predictions_loss: 264.1492 - logcount_predictions_loss: 0.3560 99/1134 [=>............................] - ETA: 2:25 - loss: 267.9425 - logits_profile_predictions_loss: 264.1326 - logcount_predictions_loss: 0.3561 100/1134 [=>............................] - ETA: 2:25 - loss: 267.9276 - logits_profile_predictions_loss: 264.1171 - logcount_predictions_loss: 0.3561 101/1134 [=>............................] - ETA: 2:25 - loss: 267.9136 - logits_profile_predictions_loss: 264.1022 - logcount_predictions_loss: 0.3562 102/1134 [=>............................] - ETA: 2:25 - loss: 267.9032 - logits_profile_predictions_loss: 264.0910 - logcount_predictions_loss: 0.3563 103/1134 [=>............................] - ETA: 2:25 - loss: 267.8917 - logits_profile_predictions_loss: 264.0787 - logcount_predictions_loss: 0.3564 104/1134 [=>............................] - ETA: 2:25 - loss: 267.8829 - logits_profile_predictions_loss: 264.0690 - logcount_predictions_loss: 0.3564 105/1134 [=>............................] - ETA: 2:24 - loss: 267.8771 - logits_profile_predictions_loss: 264.0623 - logcount_predictions_loss: 0.3565 106/1134 [=>............................] - ETA: 2:24 - loss: 267.8712 - logits_profile_predictions_loss: 264.0557 - logcount_predictions_loss: 0.3566 107/1134 [=>............................] - ETA: 2:24 - loss: 267.8629 - logits_profile_predictions_loss: 264.0466 - logcount_predictions_loss: 0.3567 108/1134 [=>............................] - ETA: 2:24 - loss: 267.8544 - logits_profile_predictions_loss: 264.0375 - logcount_predictions_loss: 0.3567 109/1134 [=>............................] - ETA: 2:24 - loss: 267.8471 - logits_profile_predictions_loss: 264.0297 - logcount_predictions_loss: 0.3568 110/1134 [=>............................] - ETA: 2:24 - loss: 267.8407 - logits_profile_predictions_loss: 264.0226 - logcount_predictions_loss: 0.3568 111/1134 [=>............................] - ETA: 2:24 - loss: 267.8336 - logits_profile_predictions_loss: 264.0149 - logcount_predictions_loss: 0.3569 112/1134 [=>............................] - ETA: 2:23 - loss: 267.8283 - logits_profile_predictions_loss: 264.0091 - logcount_predictions_loss: 0.3569 113/1134 [=>............................] - ETA: 2:23 - loss: 267.8219 - logits_profile_predictions_loss: 264.0023 - logcount_predictions_loss: 0.3570 114/1134 [==>...........................] - ETA: 2:23 - loss: 267.8163 - logits_profile_predictions_loss: 263.9963 - logcount_predictions_loss: 0.3570 115/1134 [==>...........................] - ETA: 2:23 - loss: 267.8133 - logits_profile_predictions_loss: 263.9929 - logcount_predictions_loss: 0.3571 116/1134 [==>...........................] - ETA: 2:23 - loss: 267.8096 - logits_profile_predictions_loss: 263.9888 - logcount_predictions_loss: 0.3571 117/1134 [==>...........................] - ETA: 2:23 - loss: 267.8065 - logits_profile_predictions_loss: 263.9853 - logcount_predictions_loss: 0.3571 118/1134 [==>...........................] - ETA: 2:23 - loss: 267.8033 - logits_profile_predictions_loss: 263.9817 - logcount_predictions_loss: 0.3572 119/1134 [==>...........................] - ETA: 2:22 - loss: 267.8023 - logits_profile_predictions_loss: 263.9805 - logcount_predictions_loss: 0.3572 120/1134 [==>...........................] - ETA: 2:22 - loss: 267.8029 - logits_profile_predictions_loss: 263.9807 - logcount_predictions_loss: 0.3572 121/1134 [==>...........................] - ETA: 2:22 - loss: 267.8021 - logits_profile_predictions_loss: 263.9796 - logcount_predictions_loss: 0.3572 122/1134 [==>...........................] - ETA: 2:22 - loss: 267.8001 - logits_profile_predictions_loss: 263.9775 - logcount_predictions_loss: 0.3573 123/1134 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[==>...........................] - ETA: 2:20 - loss: 267.8077 - logits_profile_predictions_loss: 263.9847 - logcount_predictions_loss: 0.3573 137/1134 [==>...........................] - ETA: 2:20 - loss: 267.8083 - logits_profile_predictions_loss: 263.9854 - logcount_predictions_loss: 0.3573 138/1134 [==>...........................] - ETA: 2:20 - loss: 267.8095 - logits_profile_predictions_loss: 263.9867 - logcount_predictions_loss: 0.3573 139/1134 [==>...........................] - ETA: 2:20 - loss: 267.8105 - logits_profile_predictions_loss: 263.9878 - logcount_predictions_loss: 0.3573 140/1134 [==>...........................] - ETA: 2:20 - loss: 267.8110 - logits_profile_predictions_loss: 263.9884 - logcount_predictions_loss: 0.3573 141/1134 [==>...........................] - ETA: 2:19 - loss: 267.8110 - logits_profile_predictions_loss: 263.9886 - logcount_predictions_loss: 0.3572 142/1134 [==>...........................] - ETA: 2:19 - loss: 267.8103 - 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[==>...........................] - ETA: 2:18 - loss: 267.8100 - logits_profile_predictions_loss: 263.9886 - logcount_predictions_loss: 0.3571 150/1134 [==>...........................] - ETA: 2:18 - loss: 267.8105 - logits_profile_predictions_loss: 263.9893 - logcount_predictions_loss: 0.3571 151/1134 [==>...........................] - ETA: 2:18 - loss: 267.8117 - logits_profile_predictions_loss: 263.9907 - logcount_predictions_loss: 0.3571 152/1134 [===>..........................] - ETA: 2:18 - loss: 267.8130 - logits_profile_predictions_loss: 263.9922 - logcount_predictions_loss: 0.3571 153/1134 [===>..........................] - ETA: 2:18 - loss: 267.8132 - logits_profile_predictions_loss: 263.9926 - logcount_predictions_loss: 0.3571 154/1134 [===>..........................] - ETA: 2:18 - loss: 267.8135 - logits_profile_predictions_loss: 263.9932 - logcount_predictions_loss: 0.3570 155/1134 [===>..........................] - ETA: 2:17 - loss: 267.8149 - 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[===>..........................] - ETA: 2:16 - loss: 267.8332 - logits_profile_predictions_loss: 264.0153 - logcount_predictions_loss: 0.3568 163/1134 [===>..........................] - ETA: 2:16 - loss: 267.8372 - logits_profile_predictions_loss: 264.0195 - logcount_predictions_loss: 0.3568 164/1134 [===>..........................] - ETA: 2:16 - loss: 267.8405 - logits_profile_predictions_loss: 264.0230 - logcount_predictions_loss: 0.3568 165/1134 [===>..........................] - ETA: 2:16 - loss: 267.8430 - logits_profile_predictions_loss: 264.0259 - logcount_predictions_loss: 0.3567 166/1134 [===>..........................] - ETA: 2:16 - loss: 267.8454 - logits_profile_predictions_loss: 264.0286 - logcount_predictions_loss: 0.3567 167/1134 [===>..........................] - ETA: 2:16 - loss: 267.8477 - logits_profile_predictions_loss: 264.0312 - logcount_predictions_loss: 0.3567 168/1134 [===>..........................] - ETA: 2:16 - loss: 267.8501 - logits_profile_predictions_loss: 264.0339 - logcount_predictions_loss: 0.3567 169/1134 [===>..........................] - ETA: 2:15 - loss: 267.8525 - logits_profile_predictions_loss: 264.0365 - logcount_predictions_loss: 0.3566 170/1134 [===>..........................] - ETA: 2:15 - loss: 267.8542 - logits_profile_predictions_loss: 264.0386 - logcount_predictions_loss: 0.3566 171/1134 [===>..........................] - ETA: 2:15 - loss: 267.8555 - logits_profile_predictions_loss: 264.0403 - logcount_predictions_loss: 0.3566 172/1134 [===>..........................] - ETA: 2:15 - loss: 267.8567 - logits_profile_predictions_loss: 264.0419 - logcount_predictions_loss: 0.3565 173/1134 [===>..........................] - ETA: 2:15 - loss: 267.8577 - logits_profile_predictions_loss: 264.0433 - logcount_predictions_loss: 0.3565 174/1134 [===>..........................] - ETA: 2:15 - loss: 267.8585 - logits_profile_predictions_loss: 264.0445 - logcount_predictions_loss: 0.3565 175/1134 [===>..........................] - ETA: 2:15 - loss: 267.8599 - logits_profile_predictions_loss: 264.0462 - logcount_predictions_loss: 0.3564 176/1134 [===>..........................] - ETA: 2:14 - loss: 267.8606 - logits_profile_predictions_loss: 264.0473 - logcount_predictions_loss: 0.3564 177/1134 [===>..........................] - ETA: 2:14 - loss: 267.8609 - logits_profile_predictions_loss: 264.0480 - logcount_predictions_loss: 0.3563 178/1134 [===>..........................] - ETA: 2:14 - loss: 267.8617 - logits_profile_predictions_loss: 264.0493 - logcount_predictions_loss: 0.3563 179/1134 [===>..........................] - ETA: 2:14 - loss: 267.8622 - logits_profile_predictions_loss: 264.0502 - logcount_predictions_loss: 0.3563 180/1134 [===>..........................] - ETA: 2:14 - loss: 267.8622 - logits_profile_predictions_loss: 264.0506 - logcount_predictions_loss: 0.3562 181/1134 [===>..........................] - ETA: 2:14 - loss: 267.8622 - logits_profile_predictions_loss: 264.0510 - logcount_predictions_loss: 0.3562 182/1134 [===>..........................] - ETA: 2:14 - loss: 267.8628 - logits_profile_predictions_loss: 264.0519 - logcount_predictions_loss: 0.3562 183/1134 [===>..........................] - ETA: 2:13 - loss: 267.8638 - logits_profile_predictions_loss: 264.0534 - logcount_predictions_loss: 0.3561 184/1134 [===>..........................] - ETA: 2:13 - loss: 267.8647 - logits_profile_predictions_loss: 264.0547 - logcount_predictions_loss: 0.3561 185/1134 [===>..........................] - ETA: 2:13 - loss: 267.8663 - logits_profile_predictions_loss: 264.0567 - logcount_predictions_loss: 0.3560 186/1134 [===>..........................] - ETA: 2:13 - loss: 267.8686 - logits_profile_predictions_loss: 264.0595 - logcount_predictions_loss: 0.3560 187/1134 [===>..........................] - ETA: 2:13 - loss: 267.8700 - logits_profile_predictions_loss: 264.0614 - logcount_predictions_loss: 0.3560 188/1134 [===>..........................] - ETA: 2:13 - loss: 267.8711 - logits_profile_predictions_loss: 264.0628 - logcount_predictions_loss: 0.3559 189/1134 [====>.........................] - ETA: 2:13 - loss: 267.8722 - logits_profile_predictions_loss: 264.0643 - logcount_predictions_loss: 0.3559 190/1134 [====>.........................] - ETA: 2:12 - loss: 267.8736 - logits_profile_predictions_loss: 264.0660 - logcount_predictions_loss: 0.3558 191/1134 [====>.........................] - ETA: 2:12 - loss: 267.8751 - logits_profile_predictions_loss: 264.0679 - logcount_predictions_loss: 0.3558 192/1134 [====>.........................] - ETA: 2:12 - loss: 267.8759 - logits_profile_predictions_loss: 264.0691 - logcount_predictions_loss: 0.3558 193/1134 [====>.........................] - ETA: 2:12 - loss: 267.8770 - logits_profile_predictions_loss: 264.0705 - logcount_predictions_loss: 0.3557 194/1134 [====>.........................] - ETA: 2:12 - loss: 267.8782 - logits_profile_predictions_loss: 264.0721 - logcount_predictions_loss: 0.3557 195/1134 [====>.........................] - ETA: 2:12 - loss: 267.8788 - logits_profile_predictions_loss: 264.0731 - logcount_predictions_loss: 0.3557 196/1134 [====>.........................] - ETA: 2:12 - loss: 267.8794 - logits_profile_predictions_loss: 264.0741 - logcount_predictions_loss: 0.3556 197/1134 [====>.........................] - ETA: 2:11 - loss: 267.8804 - logits_profile_predictions_loss: 264.0754 - logcount_predictions_loss: 0.3556 198/1134 [====>.........................] - ETA: 2:11 - loss: 267.8811 - logits_profile_predictions_loss: 264.0765 - logcount_predictions_loss: 0.3556 199/1134 [====>.........................] - ETA: 2:11 - loss: 267.8813 - logits_profile_predictions_loss: 264.0771 - logcount_predictions_loss: 0.3555 200/1134 [====>.........................] - ETA: 2:11 - loss: 267.8817 - logits_profile_predictions_loss: 264.0779 - logcount_predictions_loss: 0.3555 201/1134 [====>.........................] - ETA: 2:11 - loss: 267.8820 - logits_profile_predictions_loss: 264.0786 - logcount_predictions_loss: 0.3555 202/1134 [====>.........................] - ETA: 2:11 - loss: 267.8828 - logits_profile_predictions_loss: 264.0797 - logcount_predictions_loss: 0.3554 203/1134 [====>.........................] - ETA: 2:11 - loss: 267.8837 - logits_profile_predictions_loss: 264.0810 - logcount_predictions_loss: 0.3554 204/1134 [====>.........................] - ETA: 2:11 - loss: 267.8843 - logits_profile_predictions_loss: 264.0820 - logcount_predictions_loss: 0.3554 205/1134 [====>.........................] - ETA: 2:10 - loss: 267.8851 - logits_profile_predictions_loss: 264.0832 - logcount_predictions_loss: 0.3553 206/1134 [====>.........................] - ETA: 2:10 - loss: 267.8855 - logits_profile_predictions_loss: 264.0840 - logcount_predictions_loss: 0.3553 207/1134 [====>.........................] - ETA: 2:10 - loss: 267.8863 - 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[============================>.] - ETA: 1s - loss: 268.3527 - logits_profile_predictions_loss: 264.5626 - logcount_predictions_loss: 0.3542 1124/1134 [============================>.] - ETA: 1s - loss: 268.3527 - logits_profile_predictions_loss: 264.5626 - logcount_predictions_loss: 0.3542 1125/1134 [============================>.] - ETA: 1s - loss: 268.3528 - logits_profile_predictions_loss: 264.5627 - logcount_predictions_loss: 0.3542 1126/1134 [============================>.] - ETA: 1s - loss: 268.3528 - logits_profile_predictions_loss: 264.5627 - logcount_predictions_loss: 0.3542 1127/1134 [============================>.] - ETA: 0s - loss: 268.3528 - logits_profile_predictions_loss: 264.5628 - logcount_predictions_loss: 0.3542 1128/1134 [============================>.] - ETA: 0s - loss: 268.3529 - logits_profile_predictions_loss: 264.5628 - logcount_predictions_loss: 0.3542 1129/1134 [============================>.] - ETA: 0s - loss: 268.3529 - logits_profile_predictions_loss: 264.5629 - logcount_predictions_loss: 0.3542 1130/1134 [============================>.] - ETA: 0s - loss: 268.3529 - logits_profile_predictions_loss: 264.5629 - logcount_predictions_loss: 0.3542 1131/1134 [============================>.] - ETA: 0s - loss: 268.3530 - logits_profile_predictions_loss: 264.5630 - logcount_predictions_loss: 0.3542 1132/1134 [============================>.] - ETA: 0s - loss: 268.3530 - logits_profile_predictions_loss: 264.5631 - logcount_predictions_loss: 0.3542 1133/1134 [============================>.] - ETA: 0s - loss: 268.3530 - logits_profile_predictions_loss: 264.5631 - logcount_predictions_loss: 0.3542 1134/1134 [==============================] - ETA: 0s - loss: 268.3531 - logits_profile_predictions_loss: 264.5631 - logcount_predictions_loss: 0.3542 1134/1134 [==============================] - 167s 147ms/step - loss: 268.3531 - logits_profile_predictions_loss: 264.5632 - logcount_predictions_loss: 0.3542 - val_loss: 283.1584 - val_logits_profile_predictions_loss: 278.2763 - val_logcount_predictions_loss: 0.4563 + +Epoch 00004: val_loss did not improve from 282.71384 +Epoch 5/50 + 1/1134 [..............................] - ETA: 3:10 - loss: 255.8322 - logits_profile_predictions_loss: 251.4385 - logcount_predictions_loss: 0.4106 2/1134 [..............................] - ETA: 2:52 - loss: 262.6999 - logits_profile_predictions_loss: 258.4800 - logcount_predictions_loss: 0.3944 3/1134 [..............................] - ETA: 2:45 - loss: 267.9633 - logits_profile_predictions_loss: 263.8209 - logcount_predictions_loss: 0.3871 4/1134 [..............................] - ETA: 2:43 - loss: 269.2253 - logits_profile_predictions_loss: 265.0969 - logcount_predictions_loss: 0.3858 5/1134 [..............................] - ETA: 2:42 - loss: 268.7741 - logits_profile_predictions_loss: 264.6209 - logcount_predictions_loss: 0.3881 6/1134 [..............................] - ETA: 2:41 - loss: 267.6653 - logits_profile_predictions_loss: 263.5147 - logcount_predictions_loss: 0.3879 7/1134 [..............................] - ETA: 2:41 - loss: 266.8589 - logits_profile_predictions_loss: 262.7237 - logcount_predictions_loss: 0.3865 8/1134 [..............................] - ETA: 2:40 - loss: 266.1128 - logits_profile_predictions_loss: 261.9713 - logcount_predictions_loss: 0.3871 9/1134 [..............................] - ETA: 2:40 - loss: 266.0893 - logits_profile_predictions_loss: 261.9162 - logcount_predictions_loss: 0.3900 10/1134 [..............................] - ETA: 2:40 - loss: 266.1585 - logits_profile_predictions_loss: 261.9642 - logcount_predictions_loss: 0.3920 11/1134 [..............................] - ETA: 2:39 - loss: 266.0504 - logits_profile_predictions_loss: 261.8451 - logcount_predictions_loss: 0.3930 12/1134 [..............................] - ETA: 2:39 - loss: 265.9288 - logits_profile_predictions_loss: 261.7063 - logcount_predictions_loss: 0.3946 13/1134 [..............................] - ETA: 2:39 - loss: 265.8616 - logits_profile_predictions_loss: 261.6321 - logcount_predictions_loss: 0.3953 14/1134 [..............................] - ETA: 2:38 - loss: 265.7079 - logits_profile_predictions_loss: 261.4795 - logcount_predictions_loss: 0.3952 15/1134 [..............................] - ETA: 2:38 - loss: 265.5657 - logits_profile_predictions_loss: 261.3428 - logcount_predictions_loss: 0.3947 16/1134 [..............................] - ETA: 2:38 - loss: 265.5662 - logits_profile_predictions_loss: 261.3461 - logcount_predictions_loss: 0.3944 17/1134 [..............................] - ETA: 2:38 - loss: 265.5261 - logits_profile_predictions_loss: 261.3121 - logcount_predictions_loss: 0.3938 18/1134 [..............................] - ETA: 2:38 - loss: 265.5805 - logits_profile_predictions_loss: 261.3719 - logcount_predictions_loss: 0.3933 19/1134 [..............................] - ETA: 2:38 - loss: 265.6797 - logits_profile_predictions_loss: 261.4788 - logcount_predictions_loss: 0.3926 20/1134 [..............................] - ETA: 2:37 - loss: 265.7682 - logits_profile_predictions_loss: 261.5767 - logcount_predictions_loss: 0.3917 21/1134 [..............................] - ETA: 2:37 - loss: 265.7806 - logits_profile_predictions_loss: 261.5958 - logcount_predictions_loss: 0.3911 22/1134 [..............................] - ETA: 2:37 - loss: 265.7914 - logits_profile_predictions_loss: 261.6110 - logcount_predictions_loss: 0.3907 23/1134 [..............................] - ETA: 2:37 - loss: 265.8220 - logits_profile_predictions_loss: 261.6482 - logcount_predictions_loss: 0.3901 24/1134 [..............................] - ETA: 2:37 - loss: 265.7995 - logits_profile_predictions_loss: 261.6330 - logcount_predictions_loss: 0.3894 25/1134 [..............................] - ETA: 2:36 - loss: 265.7741 - logits_profile_predictions_loss: 261.6128 - logcount_predictions_loss: 0.3889 26/1134 [..............................] - ETA: 2:36 - loss: 265.7502 - logits_profile_predictions_loss: 261.5938 - logcount_predictions_loss: 0.3885 27/1134 [..............................] - ETA: 2:36 - loss: 265.7673 - logits_profile_predictions_loss: 261.6160 - logcount_predictions_loss: 0.3880 28/1134 [..............................] - ETA: 2:36 - loss: 265.7894 - logits_profile_predictions_loss: 261.6434 - logcount_predictions_loss: 0.3875 29/1134 [..............................] - ETA: 2:36 - loss: 265.7962 - logits_profile_predictions_loss: 261.6548 - logcount_predictions_loss: 0.3871 30/1134 [..............................] - ETA: 2:36 - loss: 265.8157 - logits_profile_predictions_loss: 261.6800 - logcount_predictions_loss: 0.3865 31/1134 [..............................] - ETA: 2:35 - loss: 265.8297 - logits_profile_predictions_loss: 261.6991 - logcount_predictions_loss: 0.3860 32/1134 [..............................] - ETA: 2:35 - loss: 265.8562 - logits_profile_predictions_loss: 261.7299 - logcount_predictions_loss: 0.3856 33/1134 [..............................] - ETA: 2:35 - loss: 265.8980 - logits_profile_predictions_loss: 261.7760 - logcount_predictions_loss: 0.3852 34/1134 [..............................] - ETA: 2:35 - loss: 265.9351 - logits_profile_predictions_loss: 261.8175 - logcount_predictions_loss: 0.3848 35/1134 [..............................] - ETA: 2:35 - loss: 265.9662 - logits_profile_predictions_loss: 261.8537 - logcount_predictions_loss: 0.3843 36/1134 [..............................] - ETA: 2:35 - loss: 265.9749 - logits_profile_predictions_loss: 261.8680 - logcount_predictions_loss: 0.3838 37/1134 [..............................] - ETA: 2:35 - loss: 265.9861 - logits_profile_predictions_loss: 261.8851 - logcount_predictions_loss: 0.3833 38/1134 [>.............................] - ETA: 2:34 - loss: 265.9978 - logits_profile_predictions_loss: 261.9028 - logcount_predictions_loss: 0.3827 39/1134 [>.............................] - ETA: 2:34 - loss: 266.0088 - logits_profile_predictions_loss: 261.9203 - logcount_predictions_loss: 0.3821 40/1134 [>.............................] - ETA: 2:34 - loss: 266.0207 - logits_profile_predictions_loss: 261.9388 - logcount_predictions_loss: 0.3815 41/1134 [>.............................] - ETA: 2:34 - loss: 266.0174 - logits_profile_predictions_loss: 261.9422 - logcount_predictions_loss: 0.3809 42/1134 [>.............................] - ETA: 2:34 - loss: 266.0119 - logits_profile_predictions_loss: 261.9429 - logcount_predictions_loss: 0.3803 43/1134 [>.............................] - ETA: 2:34 - loss: 266.0039 - logits_profile_predictions_loss: 261.9407 - logcount_predictions_loss: 0.3797 44/1134 [>.............................] - ETA: 2:33 - loss: 265.9802 - logits_profile_predictions_loss: 261.9223 - logcount_predictions_loss: 0.3792 45/1134 [>.............................] - ETA: 2:33 - loss: 265.9725 - logits_profile_predictions_loss: 261.9202 - logcount_predictions_loss: 0.3787 46/1134 [>.............................] - ETA: 2:33 - loss: 265.9727 - logits_profile_predictions_loss: 261.9265 - logcount_predictions_loss: 0.3782 47/1134 [>.............................] - ETA: 2:33 - loss: 265.9798 - logits_profile_predictions_loss: 261.9387 - logcount_predictions_loss: 0.3777 48/1134 [>.............................] - ETA: 2:33 - loss: 265.9880 - logits_profile_predictions_loss: 261.9520 - logcount_predictions_loss: 0.3772 49/1134 [>.............................] - ETA: 2:33 - loss: 265.9951 - logits_profile_predictions_loss: 261.9640 - logcount_predictions_loss: 0.3767 50/1134 [>.............................] - ETA: 2:33 - loss: 266.0025 - logits_profile_predictions_loss: 261.9767 - logcount_predictions_loss: 0.3763 51/1134 [>.............................] - ETA: 2:32 - loss: 266.0150 - logits_profile_predictions_loss: 261.9943 - logcount_predictions_loss: 0.3758 52/1134 [>.............................] - ETA: 2:32 - loss: 266.0316 - logits_profile_predictions_loss: 262.0162 - logcount_predictions_loss: 0.3753 53/1134 [>.............................] - ETA: 2:32 - loss: 266.0439 - logits_profile_predictions_loss: 262.0334 - logcount_predictions_loss: 0.3748 54/1134 [>.............................] - ETA: 2:32 - loss: 266.0529 - logits_profile_predictions_loss: 262.0474 - logcount_predictions_loss: 0.3743 55/1134 [>.............................] - ETA: 2:32 - loss: 266.0693 - logits_profile_predictions_loss: 262.0683 - logcount_predictions_loss: 0.3739 56/1134 [>.............................] - ETA: 2:32 - loss: 266.0853 - logits_profile_predictions_loss: 262.0886 - logcount_predictions_loss: 0.3735 57/1134 [>.............................] - ETA: 2:32 - loss: 266.1004 - logits_profile_predictions_loss: 262.1079 - logcount_predictions_loss: 0.3731 58/1134 [>.............................] - ETA: 2:32 - loss: 266.1083 - logits_profile_predictions_loss: 262.1201 - logcount_predictions_loss: 0.3727 59/1134 [>.............................] - ETA: 2:31 - loss: 266.1132 - logits_profile_predictions_loss: 262.1295 - logcount_predictions_loss: 0.3723 60/1134 [>.............................] - ETA: 2:31 - loss: 266.1171 - logits_profile_predictions_loss: 262.1377 - logcount_predictions_loss: 0.3719 61/1134 [>.............................] - ETA: 2:31 - loss: 266.1234 - logits_profile_predictions_loss: 262.1485 - logcount_predictions_loss: 0.3715 62/1134 [>.............................] - ETA: 2:31 - loss: 266.1270 - logits_profile_predictions_loss: 262.1565 - logcount_predictions_loss: 0.3711 63/1134 [>.............................] - ETA: 2:31 - loss: 266.1392 - logits_profile_predictions_loss: 262.1729 - logcount_predictions_loss: 0.3707 64/1134 [>.............................] - ETA: 2:31 - loss: 266.1491 - logits_profile_predictions_loss: 262.1870 - logcount_predictions_loss: 0.3703 65/1134 [>.............................] - ETA: 2:31 - loss: 266.1610 - logits_profile_predictions_loss: 262.2027 - logcount_predictions_loss: 0.3699 66/1134 [>.............................] - ETA: 2:30 - loss: 266.1694 - logits_profile_predictions_loss: 262.2151 - logcount_predictions_loss: 0.3696 67/1134 [>.............................] - ETA: 2:30 - loss: 266.1777 - logits_profile_predictions_loss: 262.2270 - logcount_predictions_loss: 0.3692 68/1134 [>.............................] - ETA: 2:30 - loss: 266.1845 - logits_profile_predictions_loss: 262.2373 - logcount_predictions_loss: 0.3689 69/1134 [>.............................] - ETA: 2:30 - loss: 266.1862 - logits_profile_predictions_loss: 262.2426 - logcount_predictions_loss: 0.3686 70/1134 [>.............................] - ETA: 2:30 - loss: 266.1835 - logits_profile_predictions_loss: 262.2435 - logcount_predictions_loss: 0.3682 71/1134 [>.............................] - ETA: 2:30 - loss: 266.1774 - logits_profile_predictions_loss: 262.2411 - logcount_predictions_loss: 0.3679 72/1134 [>.............................] - ETA: 2:30 - loss: 266.1751 - logits_profile_predictions_loss: 262.2422 - logcount_predictions_loss: 0.3676 73/1134 [>.............................] - ETA: 2:30 - loss: 266.1713 - logits_profile_predictions_loss: 262.2418 - logcount_predictions_loss: 0.3672 74/1134 [>.............................] - ETA: 2:29 - loss: 266.1658 - logits_profile_predictions_loss: 262.2398 - logcount_predictions_loss: 0.3669 75/1134 [>.............................] - ETA: 2:29 - loss: 266.1608 - logits_profile_predictions_loss: 262.2382 - logcount_predictions_loss: 0.3666 76/1134 [=>............................] - ETA: 2:29 - loss: 266.1609 - logits_profile_predictions_loss: 262.2418 - logcount_predictions_loss: 0.3663 77/1134 [=>............................] - ETA: 2:29 - loss: 266.1572 - logits_profile_predictions_loss: 262.2414 - logcount_predictions_loss: 0.3660 78/1134 [=>............................] - ETA: 2:29 - loss: 266.1536 - logits_profile_predictions_loss: 262.2412 - logcount_predictions_loss: 0.3656 79/1134 [=>............................] - ETA: 2:29 - loss: 266.1503 - logits_profile_predictions_loss: 262.2413 - logcount_predictions_loss: 0.3653 80/1134 [=>............................] - ETA: 2:29 - loss: 266.1462 - logits_profile_predictions_loss: 262.2407 - logcount_predictions_loss: 0.3650 81/1134 [=>............................] - ETA: 2:28 - loss: 266.1480 - logits_profile_predictions_loss: 262.2459 - logcount_predictions_loss: 0.3647 82/1134 [=>............................] - ETA: 2:28 - loss: 266.1517 - logits_profile_predictions_loss: 262.2529 - logcount_predictions_loss: 0.3644 83/1134 [=>............................] - ETA: 2:28 - loss: 266.1541 - logits_profile_predictions_loss: 262.2586 - logcount_predictions_loss: 0.3641 84/1134 [=>............................] - ETA: 2:28 - loss: 266.1564 - logits_profile_predictions_loss: 262.2639 - logcount_predictions_loss: 0.3638 85/1134 [=>............................] - ETA: 2:28 - loss: 266.1594 - logits_profile_predictions_loss: 262.2698 - logcount_predictions_loss: 0.3635 86/1134 [=>............................] - ETA: 2:28 - loss: 266.1650 - logits_profile_predictions_loss: 262.2784 - logcount_predictions_loss: 0.3632 87/1134 [=>............................] - ETA: 2:28 - loss: 266.1687 - logits_profile_predictions_loss: 262.2849 - logcount_predictions_loss: 0.3630 88/1134 [=>............................] - ETA: 2:27 - loss: 266.1702 - logits_profile_predictions_loss: 262.2893 - logcount_predictions_loss: 0.3627 89/1134 [=>............................] - ETA: 2:27 - loss: 266.1744 - logits_profile_predictions_loss: 262.2964 - logcount_predictions_loss: 0.3624 90/1134 [=>............................] - ETA: 2:27 - loss: 266.1806 - logits_profile_predictions_loss: 262.3055 - logcount_predictions_loss: 0.3622 91/1134 [=>............................] - ETA: 2:27 - loss: 266.1875 - logits_profile_predictions_loss: 262.3153 - logcount_predictions_loss: 0.3619 92/1134 [=>............................] - ETA: 2:27 - 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logits_profile_predictions_loss: 262.4191 - logcount_predictions_loss: 0.3588 106/1134 [=>............................] - ETA: 2:25 - loss: 266.2568 - logits_profile_predictions_loss: 262.4201 - logcount_predictions_loss: 0.3586 107/1134 [=>............................] - ETA: 2:25 - loss: 266.2560 - logits_profile_predictions_loss: 262.4215 - logcount_predictions_loss: 0.3584 108/1134 [=>............................] - ETA: 2:25 - loss: 266.2576 - logits_profile_predictions_loss: 262.4251 - logcount_predictions_loss: 0.3582 109/1134 [=>............................] - ETA: 2:25 - loss: 266.2558 - logits_profile_predictions_loss: 262.4252 - logcount_predictions_loss: 0.3580 110/1134 [=>............................] - ETA: 2:24 - loss: 266.2533 - logits_profile_predictions_loss: 262.4245 - logcount_predictions_loss: 0.3578 111/1134 [=>............................] - ETA: 2:24 - loss: 266.2507 - logits_profile_predictions_loss: 262.4239 - logcount_predictions_loss: 0.3576 112/1134 [=>............................] - ETA: 2:24 - loss: 266.2477 - logits_profile_predictions_loss: 262.4229 - logcount_predictions_loss: 0.3575 113/1134 [=>............................] - ETA: 2:24 - loss: 266.2462 - logits_profile_predictions_loss: 262.4232 - logcount_predictions_loss: 0.3573 114/1134 [==>...........................] - ETA: 2:24 - loss: 266.2420 - logits_profile_predictions_loss: 262.4208 - logcount_predictions_loss: 0.3571 115/1134 [==>...........................] - ETA: 2:24 - loss: 266.2376 - logits_profile_predictions_loss: 262.4182 - logcount_predictions_loss: 0.3570 116/1134 [==>...........................] - ETA: 2:24 - loss: 266.2310 - logits_profile_predictions_loss: 262.4133 - logcount_predictions_loss: 0.3568 117/1134 [==>...........................] - ETA: 2:23 - loss: 266.2247 - logits_profile_predictions_loss: 262.4087 - logcount_predictions_loss: 0.3566 118/1134 [==>...........................] - ETA: 2:23 - loss: 266.2182 - logits_profile_predictions_loss: 262.4039 - logcount_predictions_loss: 0.3565 119/1134 [==>...........................] - ETA: 2:23 - loss: 266.2114 - logits_profile_predictions_loss: 262.3987 - logcount_predictions_loss: 0.3563 120/1134 [==>...........................] - ETA: 2:23 - loss: 266.2060 - logits_profile_predictions_loss: 262.3951 - logcount_predictions_loss: 0.3562 121/1134 [==>...........................] - ETA: 2:23 - loss: 266.2009 - logits_profile_predictions_loss: 262.3916 - logcount_predictions_loss: 0.3560 122/1134 [==>...........................] - ETA: 2:23 - loss: 266.1956 - logits_profile_predictions_loss: 262.3881 - logcount_predictions_loss: 0.3559 123/1134 [==>...........................] - ETA: 2:23 - loss: 266.1908 - logits_profile_predictions_loss: 262.3849 - logcount_predictions_loss: 0.3557 124/1134 [==>...........................] - ETA: 2:22 - loss: 266.1866 - logits_profile_predictions_loss: 262.3822 - logcount_predictions_loss: 0.3556 125/1134 [==>...........................] - ETA: 2:22 - loss: 266.1843 - logits_profile_predictions_loss: 262.3814 - logcount_predictions_loss: 0.3554 126/1134 [==>...........................] - ETA: 2:22 - loss: 266.1813 - logits_profile_predictions_loss: 262.3800 - logcount_predictions_loss: 0.3553 127/1134 [==>...........................] - ETA: 2:22 - loss: 266.1766 - logits_profile_predictions_loss: 262.3768 - logcount_predictions_loss: 0.3551 128/1134 [==>...........................] - ETA: 2:22 - loss: 266.1740 - logits_profile_predictions_loss: 262.3758 - logcount_predictions_loss: 0.3550 129/1134 [==>...........................] - ETA: 2:22 - loss: 266.1726 - logits_profile_predictions_loss: 262.3759 - logcount_predictions_loss: 0.3548 130/1134 [==>...........................] - ETA: 2:22 - loss: 266.1698 - logits_profile_predictions_loss: 262.3747 - logcount_predictions_loss: 0.3547 131/1134 [==>...........................] - ETA: 2:21 - loss: 266.1665 - logits_profile_predictions_loss: 262.3729 - logcount_predictions_loss: 0.3545 132/1134 [==>...........................] - ETA: 2:21 - loss: 266.1627 - logits_profile_predictions_loss: 262.3707 - logcount_predictions_loss: 0.3544 133/1134 [==>...........................] - ETA: 2:21 - loss: 266.1585 - logits_profile_predictions_loss: 262.3681 - logcount_predictions_loss: 0.3542 134/1134 [==>...........................] - ETA: 2:21 - loss: 266.1536 - logits_profile_predictions_loss: 262.3648 - logcount_predictions_loss: 0.3541 135/1134 [==>...........................] - ETA: 2:21 - loss: 266.1495 - logits_profile_predictions_loss: 262.3623 - logcount_predictions_loss: 0.3539 136/1134 [==>...........................] - ETA: 2:21 - loss: 266.1462 - logits_profile_predictions_loss: 262.3606 - logcount_predictions_loss: 0.3538 137/1134 [==>...........................] - ETA: 2:21 - loss: 266.1428 - logits_profile_predictions_loss: 262.3588 - logcount_predictions_loss: 0.3536 138/1134 [==>...........................] - ETA: 2:20 - loss: 266.1388 - logits_profile_predictions_loss: 262.3563 - logcount_predictions_loss: 0.3535 139/1134 [==>...........................] - ETA: 2:20 - loss: 266.1337 - logits_profile_predictions_loss: 262.3528 - logcount_predictions_loss: 0.3534 140/1134 [==>...........................] - ETA: 2:20 - loss: 266.1297 - logits_profile_predictions_loss: 262.3505 - logcount_predictions_loss: 0.3532 141/1134 [==>...........................] - ETA: 2:20 - loss: 266.1259 - logits_profile_predictions_loss: 262.3483 - logcount_predictions_loss: 0.3531 142/1134 [==>...........................] - ETA: 2:20 - loss: 266.1232 - logits_profile_predictions_loss: 262.3471 - logcount_predictions_loss: 0.3529 143/1134 [==>...........................] - ETA: 2:20 - loss: 266.1201 - logits_profile_predictions_loss: 262.3454 - logcount_predictions_loss: 0.3528 144/1134 [==>...........................] - ETA: 2:20 - loss: 266.1172 - logits_profile_predictions_loss: 262.3441 - logcount_predictions_loss: 0.3526 145/1134 [==>...........................] - ETA: 2:19 - loss: 266.1144 - logits_profile_predictions_loss: 262.3427 - logcount_predictions_loss: 0.3525 146/1134 [==>...........................] - ETA: 2:19 - loss: 266.1118 - logits_profile_predictions_loss: 262.3415 - logcount_predictions_loss: 0.3524 147/1134 [==>...........................] - ETA: 2:19 - loss: 266.1091 - logits_profile_predictions_loss: 262.3402 - logcount_predictions_loss: 0.3522 148/1134 [==>...........................] - ETA: 2:19 - loss: 266.1072 - logits_profile_predictions_loss: 262.3397 - logcount_predictions_loss: 0.3521 149/1134 [==>...........................] - ETA: 2:19 - loss: 266.1050 - logits_profile_predictions_loss: 262.3387 - logcount_predictions_loss: 0.3520 150/1134 [==>...........................] - ETA: 2:19 - loss: 266.1018 - logits_profile_predictions_loss: 262.3367 - logcount_predictions_loss: 0.3519 151/1134 [==>...........................] - ETA: 2:19 - loss: 266.0985 - logits_profile_predictions_loss: 262.3347 - logcount_predictions_loss: 0.3518 152/1134 [===>..........................] - ETA: 2:19 - loss: 266.0955 - logits_profile_predictions_loss: 262.3329 - logcount_predictions_loss: 0.3516 153/1134 [===>..........................] - ETA: 2:18 - loss: 266.0921 - logits_profile_predictions_loss: 262.3308 - logcount_predictions_loss: 0.3515 154/1134 [===>..........................] - ETA: 2:18 - loss: 266.0893 - logits_profile_predictions_loss: 262.3292 - logcount_predictions_loss: 0.3514 155/1134 [===>..........................] - ETA: 2:18 - loss: 266.0865 - logits_profile_predictions_loss: 262.3276 - logcount_predictions_loss: 0.3513 156/1134 [===>..........................] - ETA: 2:18 - loss: 266.0835 - logits_profile_predictions_loss: 262.3258 - logcount_predictions_loss: 0.3512 157/1134 [===>..........................] - ETA: 2:18 - loss: 266.0802 - logits_profile_predictions_loss: 262.3236 - logcount_predictions_loss: 0.3511 158/1134 [===>..........................] - ETA: 2:18 - loss: 266.0780 - logits_profile_predictions_loss: 262.3225 - logcount_predictions_loss: 0.3510 159/1134 [===>..........................] - ETA: 2:18 - loss: 266.0764 - logits_profile_predictions_loss: 262.3220 - logcount_predictions_loss: 0.3509 160/1134 [===>..........................] - ETA: 2:17 - loss: 266.0757 - logits_profile_predictions_loss: 262.3223 - logcount_predictions_loss: 0.3508 161/1134 [===>..........................] - ETA: 2:17 - loss: 266.0759 - logits_profile_predictions_loss: 262.3235 - logcount_predictions_loss: 0.3507 162/1134 [===>..........................] - ETA: 2:17 - loss: 266.0769 - logits_profile_predictions_loss: 262.3254 - logcount_predictions_loss: 0.3506 163/1134 [===>..........................] - ETA: 2:17 - loss: 266.0779 - logits_profile_predictions_loss: 262.3274 - logcount_predictions_loss: 0.3505 164/1134 [===>..........................] - ETA: 2:17 - loss: 266.0795 - logits_profile_predictions_loss: 262.3300 - logcount_predictions_loss: 0.3504 165/1134 [===>..........................] - ETA: 2:17 - loss: 266.0805 - logits_profile_predictions_loss: 262.3320 - logcount_predictions_loss: 0.3503 166/1134 [===>..........................] - ETA: 2:17 - loss: 266.0828 - logits_profile_predictions_loss: 262.3352 - logcount_predictions_loss: 0.3502 167/1134 [===>..........................] - ETA: 2:16 - loss: 266.0859 - logits_profile_predictions_loss: 262.3392 - logcount_predictions_loss: 0.3502 168/1134 [===>..........................] - ETA: 2:16 - loss: 266.0888 - logits_profile_predictions_loss: 262.3429 - logcount_predictions_loss: 0.3501 169/1134 [===>..........................] - ETA: 2:16 - loss: 266.0921 - logits_profile_predictions_loss: 262.3471 - logcount_predictions_loss: 0.3500 170/1134 [===>..........................] - ETA: 2:16 - loss: 266.0948 - logits_profile_predictions_loss: 262.3505 - logcount_predictions_loss: 0.3499 171/1134 [===>..........................] - ETA: 2:16 - loss: 266.0978 - logits_profile_predictions_loss: 262.3544 - logcount_predictions_loss: 0.3499 172/1134 [===>..........................] - ETA: 2:16 - loss: 266.1006 - logits_profile_predictions_loss: 262.3580 - logcount_predictions_loss: 0.3498 173/1134 [===>..........................] - ETA: 2:16 - loss: 266.1047 - logits_profile_predictions_loss: 262.3629 - logcount_predictions_loss: 0.3497 174/1134 [===>..........................] - ETA: 2:15 - loss: 266.1093 - logits_profile_predictions_loss: 262.3684 - logcount_predictions_loss: 0.3496 175/1134 [===>..........................] - ETA: 2:15 - loss: 266.1148 - logits_profile_predictions_loss: 262.3746 - logcount_predictions_loss: 0.3496 176/1134 [===>..........................] - ETA: 2:15 - loss: 266.1205 - logits_profile_predictions_loss: 262.3811 - logcount_predictions_loss: 0.3495 177/1134 [===>..........................] - ETA: 2:15 - loss: 266.1257 - logits_profile_predictions_loss: 262.3871 - logcount_predictions_loss: 0.3494 178/1134 [===>..........................] - ETA: 2:15 - loss: 266.1315 - logits_profile_predictions_loss: 262.3937 - logcount_predictions_loss: 0.3493 179/1134 [===>..........................] - ETA: 2:15 - loss: 266.1378 - logits_profile_predictions_loss: 262.4008 - logcount_predictions_loss: 0.3493 180/1134 [===>..........................] - ETA: 2:15 - loss: 266.1441 - logits_profile_predictions_loss: 262.4079 - logcount_predictions_loss: 0.3492 181/1134 [===>..........................] - ETA: 2:14 - loss: 266.1491 - logits_profile_predictions_loss: 262.4137 - logcount_predictions_loss: 0.3491 182/1134 [===>..........................] - ETA: 2:14 - loss: 266.1537 - logits_profile_predictions_loss: 262.4191 - logcount_predictions_loss: 0.3490 183/1134 [===>..........................] - ETA: 2:14 - loss: 266.1580 - logits_profile_predictions_loss: 262.4241 - logcount_predictions_loss: 0.3490 184/1134 [===>..........................] - ETA: 2:14 - loss: 266.1618 - logits_profile_predictions_loss: 262.4287 - logcount_predictions_loss: 0.3489 185/1134 [===>..........................] - ETA: 2:14 - loss: 266.1660 - logits_profile_predictions_loss: 262.4336 - logcount_predictions_loss: 0.3488 186/1134 [===>..........................] - ETA: 2:14 - loss: 266.1702 - logits_profile_predictions_loss: 262.4384 - logcount_predictions_loss: 0.3488 187/1134 [===>..........................] - ETA: 2:14 - loss: 266.1738 - logits_profile_predictions_loss: 262.4426 - logcount_predictions_loss: 0.3487 188/1134 [===>..........................] - ETA: 2:13 - loss: 266.1777 - logits_profile_predictions_loss: 262.4473 - logcount_predictions_loss: 0.3486 189/1134 [====>.........................] - ETA: 2:13 - loss: 266.1804 - logits_profile_predictions_loss: 262.4506 - logcount_predictions_loss: 0.3486 190/1134 [====>.........................] - ETA: 2:13 - loss: 266.1832 - logits_profile_predictions_loss: 262.4541 - logcount_predictions_loss: 0.3485 191/1134 [====>.........................] - ETA: 2:13 - loss: 266.1858 - logits_profile_predictions_loss: 262.4573 - logcount_predictions_loss: 0.3485 192/1134 [====>.........................] - ETA: 2:13 - loss: 266.1886 - logits_profile_predictions_loss: 262.4607 - logcount_predictions_loss: 0.3484 193/1134 [====>.........................] - ETA: 2:13 - loss: 266.1921 - logits_profile_predictions_loss: 262.4648 - logcount_predictions_loss: 0.3484 194/1134 [====>.........................] - ETA: 2:13 - loss: 266.1962 - logits_profile_predictions_loss: 262.4695 - logcount_predictions_loss: 0.3483 195/1134 [====>.........................] - ETA: 2:12 - loss: 266.2005 - logits_profile_predictions_loss: 262.4743 - logcount_predictions_loss: 0.3482 196/1134 [====>.........................] - ETA: 2:12 - loss: 266.2047 - logits_profile_predictions_loss: 262.4790 - logcount_predictions_loss: 0.3482 197/1134 [====>.........................] - ETA: 2:12 - loss: 266.2091 - logits_profile_predictions_loss: 262.4838 - logcount_predictions_loss: 0.3482 198/1134 [====>.........................] - ETA: 2:12 - loss: 266.2140 - logits_profile_predictions_loss: 262.4893 - logcount_predictions_loss: 0.3481 199/1134 [====>.........................] - ETA: 2:12 - loss: 266.2186 - logits_profile_predictions_loss: 262.4944 - logcount_predictions_loss: 0.3481 200/1134 [====>.........................] - ETA: 2:12 - loss: 266.2228 - logits_profile_predictions_loss: 262.4989 - logcount_predictions_loss: 0.3480 201/1134 [====>.........................] - ETA: 2:12 - loss: 266.2268 - logits_profile_predictions_loss: 262.5034 - logcount_predictions_loss: 0.3480 202/1134 [====>.........................] - ETA: 2:11 - loss: 266.2312 - logits_profile_predictions_loss: 262.5082 - logcount_predictions_loss: 0.3479 203/1134 [====>.........................] - ETA: 2:11 - loss: 266.2351 - logits_profile_predictions_loss: 262.5125 - logcount_predictions_loss: 0.3479 204/1134 [====>.........................] - ETA: 2:11 - loss: 266.2394 - logits_profile_predictions_loss: 262.5172 - logcount_predictions_loss: 0.3479 205/1134 [====>.........................] - ETA: 2:11 - loss: 266.2435 - logits_profile_predictions_loss: 262.5216 - logcount_predictions_loss: 0.3478 206/1134 [====>.........................] - ETA: 2:11 - loss: 266.2471 - logits_profile_predictions_loss: 262.5256 - logcount_predictions_loss: 0.3478 207/1134 [====>.........................] - ETA: 2:11 - loss: 266.2500 - logits_profile_predictions_loss: 262.5289 - logcount_predictions_loss: 0.3478 208/1134 [====>.........................] - ETA: 2:11 - loss: 266.2529 - logits_profile_predictions_loss: 262.5321 - logcount_predictions_loss: 0.3477 209/1134 [====>.........................] - ETA: 2:10 - loss: 266.2547 - 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[==>...........................] - ETA: 2:21 - loss: 266.5702 - logits_profile_predictions_loss: 263.0678 - logcount_predictions_loss: 0.3273 134/1134 [==>...........................] - ETA: 2:20 - loss: 266.5833 - logits_profile_predictions_loss: 263.0804 - logcount_predictions_loss: 0.3274 135/1134 [==>...........................] - ETA: 2:20 - loss: 266.5967 - logits_profile_predictions_loss: 263.0934 - logcount_predictions_loss: 0.3274 136/1134 [==>...........................] - ETA: 2:20 - loss: 266.6081 - logits_profile_predictions_loss: 263.1044 - logcount_predictions_loss: 0.3275 137/1134 [==>...........................] - ETA: 2:20 - loss: 266.6195 - logits_profile_predictions_loss: 263.1154 - logcount_predictions_loss: 0.3275 138/1134 [==>...........................] - ETA: 2:20 - loss: 266.6295 - logits_profile_predictions_loss: 263.1250 - logcount_predictions_loss: 0.3275 139/1134 [==>...........................] - ETA: 2:20 - loss: 266.6388 - 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257.8558 - logcount_predictions_loss: 0.2956 82/1134 [=>............................] - ETA: 2:29 - loss: 261.0299 - logits_profile_predictions_loss: 257.8642 - logcount_predictions_loss: 0.2959 83/1134 [=>............................] - ETA: 2:28 - loss: 261.0412 - logits_profile_predictions_loss: 257.8730 - logcount_predictions_loss: 0.2961 84/1134 [=>............................] - ETA: 2:28 - loss: 261.0576 - logits_profile_predictions_loss: 257.8868 - logcount_predictions_loss: 0.2963 85/1134 [=>............................] - ETA: 2:28 - loss: 261.0733 - logits_profile_predictions_loss: 257.9001 - logcount_predictions_loss: 0.2966 86/1134 [=>............................] - ETA: 2:28 - loss: 261.0884 - logits_profile_predictions_loss: 257.9130 - logcount_predictions_loss: 0.2968 87/1134 [=>............................] - ETA: 2:28 - loss: 261.1048 - logits_profile_predictions_loss: 257.9272 - logcount_predictions_loss: 0.2970 88/1134 [=>............................] - ETA: 2:28 - 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[=>............................] - ETA: 2:25 - loss: 261.4996 - logits_profile_predictions_loss: 258.2864 - logcount_predictions_loss: 0.3003 109/1134 [=>............................] - ETA: 2:25 - loss: 261.5144 - logits_profile_predictions_loss: 258.3000 - logcount_predictions_loss: 0.3004 110/1134 [=>............................] - ETA: 2:24 - loss: 261.5285 - logits_profile_predictions_loss: 258.3129 - logcount_predictions_loss: 0.3005 111/1134 [=>............................] - ETA: 2:24 - loss: 261.5413 - logits_profile_predictions_loss: 258.3246 - logcount_predictions_loss: 0.3006 112/1134 [=>............................] - ETA: 2:24 - loss: 261.5567 - logits_profile_predictions_loss: 258.3388 - logcount_predictions_loss: 0.3007 113/1134 [=>............................] - ETA: 2:24 - loss: 261.5716 - logits_profile_predictions_loss: 258.3526 - logcount_predictions_loss: 0.3008 114/1134 [==>...........................] - ETA: 2:24 - loss: 261.5850 - 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logits_profile_predictions_loss: 258.5122 - logcount_predictions_loss: 0.3020 128/1134 [==>...........................] - ETA: 2:22 - loss: 261.7542 - logits_profile_predictions_loss: 258.5224 - logcount_predictions_loss: 0.3020 129/1134 [==>...........................] - ETA: 2:22 - loss: 261.7658 - logits_profile_predictions_loss: 258.5331 - logcount_predictions_loss: 0.3021 130/1134 [==>...........................] - ETA: 2:22 - loss: 261.7785 - logits_profile_predictions_loss: 258.5449 - logcount_predictions_loss: 0.3022 131/1134 [==>...........................] - ETA: 2:21 - loss: 261.7921 - logits_profile_predictions_loss: 258.5575 - logcount_predictions_loss: 0.3023 132/1134 [==>...........................] - ETA: 2:21 - loss: 261.8059 - logits_profile_predictions_loss: 258.5705 - logcount_predictions_loss: 0.3024 133/1134 [==>...........................] - ETA: 2:21 - loss: 261.8196 - logits_profile_predictions_loss: 258.5832 - logcount_predictions_loss: 0.3025 134/1134 [==>...........................] - ETA: 2:21 - loss: 261.8338 - logits_profile_predictions_loss: 258.5966 - logcount_predictions_loss: 0.3025 135/1134 [==>...........................] - ETA: 2:21 - loss: 261.8489 - logits_profile_predictions_loss: 258.6109 - logcount_predictions_loss: 0.3026 136/1134 [==>...........................] - ETA: 2:21 - loss: 261.8618 - logits_profile_predictions_loss: 258.6229 - logcount_predictions_loss: 0.3027 137/1134 [==>...........................] - ETA: 2:21 - loss: 261.8749 - logits_profile_predictions_loss: 258.6353 - logcount_predictions_loss: 0.3028 138/1134 [==>...........................] - ETA: 2:20 - loss: 261.8891 - logits_profile_predictions_loss: 258.6488 - logcount_predictions_loss: 0.3028 139/1134 [==>...........................] - ETA: 2:20 - loss: 261.9042 - logits_profile_predictions_loss: 258.6630 - logcount_predictions_loss: 0.3029 140/1134 [==>...........................] - ETA: 2:20 - loss: 261.9180 - 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[==>...........................] - ETA: 2:19 - loss: 261.9965 - logits_profile_predictions_loss: 258.7501 - logcount_predictions_loss: 0.3034 148/1134 [==>...........................] - ETA: 2:19 - loss: 262.0073 - logits_profile_predictions_loss: 258.7603 - logcount_predictions_loss: 0.3035 149/1134 [==>...........................] - ETA: 2:19 - loss: 262.0206 - logits_profile_predictions_loss: 258.7729 - logcount_predictions_loss: 0.3035 150/1134 [==>...........................] - ETA: 2:19 - loss: 262.0329 - logits_profile_predictions_loss: 258.7845 - logcount_predictions_loss: 0.3036 151/1134 [==>...........................] - ETA: 2:19 - loss: 262.0447 - logits_profile_predictions_loss: 258.7958 - logcount_predictions_loss: 0.3036 152/1134 [===>..........................] - ETA: 2:18 - loss: 262.0575 - logits_profile_predictions_loss: 258.8079 - logcount_predictions_loss: 0.3037 153/1134 [===>..........................] - ETA: 2:18 - loss: 262.0685 - 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[===>..........................] - ETA: 2:17 - loss: 262.1363 - logits_profile_predictions_loss: 258.8819 - logcount_predictions_loss: 0.3041 161/1134 [===>..........................] - ETA: 2:17 - loss: 262.1456 - logits_profile_predictions_loss: 258.8907 - logcount_predictions_loss: 0.3042 162/1134 [===>..........................] - ETA: 2:17 - loss: 262.1552 - logits_profile_predictions_loss: 258.8997 - logcount_predictions_loss: 0.3042 163/1134 [===>..........................] - ETA: 2:17 - loss: 262.1642 - logits_profile_predictions_loss: 258.9082 - logcount_predictions_loss: 0.3043 164/1134 [===>..........................] - ETA: 2:17 - loss: 262.1732 - logits_profile_predictions_loss: 258.9167 - logcount_predictions_loss: 0.3043 165/1134 [===>..........................] - ETA: 2:17 - loss: 262.1813 - logits_profile_predictions_loss: 258.9244 - logcount_predictions_loss: 0.3044 166/1134 [===>..........................] - ETA: 2:16 - loss: 262.1895 - 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[===>..........................] - ETA: 2:15 - loss: 262.2340 - logits_profile_predictions_loss: 258.9739 - logcount_predictions_loss: 0.3047 174/1134 [===>..........................] - ETA: 2:15 - loss: 262.2403 - logits_profile_predictions_loss: 258.9798 - logcount_predictions_loss: 0.3047 175/1134 [===>..........................] - ETA: 2:15 - loss: 262.2463 - logits_profile_predictions_loss: 258.9855 - logcount_predictions_loss: 0.3047 176/1134 [===>..........................] - ETA: 2:15 - loss: 262.2522 - logits_profile_predictions_loss: 258.9911 - logcount_predictions_loss: 0.3048 177/1134 [===>..........................] - ETA: 2:15 - loss: 262.2586 - logits_profile_predictions_loss: 258.9973 - logcount_predictions_loss: 0.3048 178/1134 [===>..........................] - ETA: 2:15 - loss: 262.2645 - logits_profile_predictions_loss: 259.0028 - logcount_predictions_loss: 0.3048 179/1134 [===>..........................] - ETA: 2:15 - loss: 262.2711 - 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[===>..........................] - ETA: 2:14 - loss: 262.3104 - logits_profile_predictions_loss: 259.0466 - logcount_predictions_loss: 0.3050 187/1134 [===>..........................] - ETA: 2:13 - loss: 262.3151 - logits_profile_predictions_loss: 259.0510 - logcount_predictions_loss: 0.3051 188/1134 [===>..........................] - ETA: 2:13 - loss: 262.3199 - logits_profile_predictions_loss: 259.0556 - logcount_predictions_loss: 0.3051 189/1134 [====>.........................] - ETA: 2:13 - loss: 262.3239 - logits_profile_predictions_loss: 259.0593 - logcount_predictions_loss: 0.3051 190/1134 [====>.........................] - ETA: 2:13 - loss: 262.3277 - logits_profile_predictions_loss: 259.0629 - logcount_predictions_loss: 0.3051 191/1134 [====>.........................] - ETA: 2:13 - loss: 262.3317 - logits_profile_predictions_loss: 259.0667 - logcount_predictions_loss: 0.3051 192/1134 [====>.........................] - ETA: 2:13 - loss: 262.3355 - logits_profile_predictions_loss: 259.0702 - logcount_predictions_loss: 0.3052 193/1134 [====>.........................] - ETA: 2:13 - loss: 262.3394 - logits_profile_predictions_loss: 259.0740 - logcount_predictions_loss: 0.3052 194/1134 [====>.........................] - ETA: 2:12 - loss: 262.3432 - logits_profile_predictions_loss: 259.0775 - logcount_predictions_loss: 0.3052 195/1134 [====>.........................] - ETA: 2:12 - loss: 262.3473 - logits_profile_predictions_loss: 259.0814 - logcount_predictions_loss: 0.3052 196/1134 [====>.........................] - ETA: 2:12 - loss: 262.3520 - logits_profile_predictions_loss: 259.0859 - logcount_predictions_loss: 0.3052 197/1134 [====>.........................] - ETA: 2:12 - loss: 262.3569 - logits_profile_predictions_loss: 259.0905 - logcount_predictions_loss: 0.3053 198/1134 [====>.........................] - ETA: 2:12 - loss: 262.3618 - logits_profile_predictions_loss: 259.0953 - logcount_predictions_loss: 0.3053 199/1134 [====>.........................] - ETA: 2:12 - loss: 262.3667 - logits_profile_predictions_loss: 259.0999 - logcount_predictions_loss: 0.3053 200/1134 [====>.........................] - ETA: 2:12 - loss: 262.3718 - logits_profile_predictions_loss: 259.1048 - logcount_predictions_loss: 0.3053 201/1134 [====>.........................] - ETA: 2:11 - loss: 262.3773 - logits_profile_predictions_loss: 259.1101 - logcount_predictions_loss: 0.3053 202/1134 [====>.........................] - ETA: 2:11 - loss: 262.3831 - logits_profile_predictions_loss: 259.1157 - logcount_predictions_loss: 0.3054 203/1134 [====>.........................] - ETA: 2:11 - loss: 262.3887 - logits_profile_predictions_loss: 259.1211 - logcount_predictions_loss: 0.3054 204/1134 [====>.........................] - ETA: 2:11 - loss: 262.3948 - logits_profile_predictions_loss: 259.1270 - logcount_predictions_loss: 0.3054 205/1134 [====>.........................] - ETA: 2:11 - loss: 262.4012 - 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281.1996 - val_logits_profile_predictions_loss: 277.8854 - val_logcount_predictions_loss: 0.3097 + +Epoch 00008: val_loss did not improve from 280.80942 +Epoch 9/50 + 1/1134 [..............................] - ETA: 3:02 - loss: 265.9484 - logits_profile_predictions_loss: 261.7328 - logcount_predictions_loss: 0.3940 2/1134 [..............................] - ETA: 2:39 - loss: 264.1573 - logits_profile_predictions_loss: 260.1508 - logcount_predictions_loss: 0.3744 3/1134 [..............................] - ETA: 2:39 - loss: 265.7232 - logits_profile_predictions_loss: 261.9163 - logcount_predictions_loss: 0.3558 4/1134 [..............................] - ETA: 2:39 - loss: 267.5531 - logits_profile_predictions_loss: 263.8654 - logcount_predictions_loss: 0.3446 5/1134 [..............................] - ETA: 2:38 - loss: 267.4481 - logits_profile_predictions_loss: 263.7178 - logcount_predictions_loss: 0.3486 6/1134 [..............................] - ETA: 2:38 - loss: 267.2991 - 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[..............................] - ETA: 2:38 - loss: 265.6244 - logits_profile_predictions_loss: 261.9789 - logcount_predictions_loss: 0.3407 14/1134 [..............................] - ETA: 2:38 - loss: 265.7440 - logits_profile_predictions_loss: 262.1169 - logcount_predictions_loss: 0.3390 15/1134 [..............................] - ETA: 2:37 - loss: 265.8964 - logits_profile_predictions_loss: 262.2873 - logcount_predictions_loss: 0.3373 16/1134 [..............................] - ETA: 2:37 - loss: 266.0181 - logits_profile_predictions_loss: 262.4246 - logcount_predictions_loss: 0.3358 17/1134 [..............................] - ETA: 2:37 - loss: 266.0356 - logits_profile_predictions_loss: 262.4581 - logcount_predictions_loss: 0.3343 18/1134 [..............................] - ETA: 2:37 - loss: 266.0591 - logits_profile_predictions_loss: 262.4938 - logcount_predictions_loss: 0.3332 19/1134 [..............................] - ETA: 2:37 - loss: 266.1233 - logits_profile_predictions_loss: 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loss: 266.0624 - logits_profile_predictions_loss: 262.5776 - logcount_predictions_loss: 0.3257 27/1134 [..............................] - ETA: 2:36 - loss: 266.0282 - logits_profile_predictions_loss: 262.5495 - logcount_predictions_loss: 0.3251 28/1134 [..............................] - ETA: 2:36 - loss: 265.9862 - logits_profile_predictions_loss: 262.5138 - logcount_predictions_loss: 0.3245 29/1134 [..............................] - ETA: 2:36 - loss: 265.9433 - logits_profile_predictions_loss: 262.4771 - logcount_predictions_loss: 0.3239 30/1134 [..............................] - ETA: 2:36 - loss: 265.8851 - logits_profile_predictions_loss: 262.4258 - logcount_predictions_loss: 0.3233 31/1134 [..............................] - ETA: 2:36 - loss: 265.8363 - logits_profile_predictions_loss: 262.3831 - logcount_predictions_loss: 0.3227 32/1134 [..............................] - ETA: 2:35 - loss: 265.8117 - logits_profile_predictions_loss: 262.3649 - logcount_predictions_loss: 0.3221 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logits_profile_predictions_loss: 262.1353 - logcount_predictions_loss: 0.3190 40/1134 [>.............................] - ETA: 2:34 - loss: 265.5046 - logits_profile_predictions_loss: 262.0950 - logcount_predictions_loss: 0.3187 41/1134 [>.............................] - ETA: 2:34 - loss: 265.4723 - logits_profile_predictions_loss: 262.0662 - logcount_predictions_loss: 0.3183 42/1134 [>.............................] - ETA: 2:34 - loss: 265.4503 - logits_profile_predictions_loss: 262.0480 - logcount_predictions_loss: 0.3180 43/1134 [>.............................] - ETA: 2:34 - loss: 265.4276 - logits_profile_predictions_loss: 262.0286 - logcount_predictions_loss: 0.3177 44/1134 [>.............................] - ETA: 2:34 - loss: 265.4146 - logits_profile_predictions_loss: 262.0188 - logcount_predictions_loss: 0.3174 45/1134 [>.............................] - ETA: 2:34 - loss: 265.3825 - logits_profile_predictions_loss: 261.9900 - logcount_predictions_loss: 0.3171 46/1134 [>.............................] - ETA: 2:34 - loss: 265.3651 - logits_profile_predictions_loss: 261.9753 - logcount_predictions_loss: 0.3168 47/1134 [>.............................] - ETA: 2:33 - loss: 265.3470 - logits_profile_predictions_loss: 261.9600 - logcount_predictions_loss: 0.3165 48/1134 [>.............................] - ETA: 2:33 - loss: 265.3300 - logits_profile_predictions_loss: 261.9461 - logcount_predictions_loss: 0.3163 49/1134 [>.............................] - ETA: 2:33 - loss: 265.3091 - logits_profile_predictions_loss: 261.9280 - logcount_predictions_loss: 0.3160 50/1134 [>.............................] - ETA: 2:33 - loss: 265.2826 - logits_profile_predictions_loss: 261.9036 - logcount_predictions_loss: 0.3158 51/1134 [>.............................] - ETA: 2:33 - loss: 265.2523 - logits_profile_predictions_loss: 261.8755 - logcount_predictions_loss: 0.3156 52/1134 [>.............................] - ETA: 2:33 - loss: 265.2288 - logits_profile_predictions_loss: 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260.8352 - logcount_predictions_loss: 0.3108 86/1134 [=>............................] - ETA: 2:28 - loss: 264.1438 - logits_profile_predictions_loss: 260.8189 - logcount_predictions_loss: 0.3107 87/1134 [=>............................] - ETA: 2:28 - loss: 264.1253 - logits_profile_predictions_loss: 260.8012 - logcount_predictions_loss: 0.3107 88/1134 [=>............................] - ETA: 2:28 - loss: 264.1086 - logits_profile_predictions_loss: 260.7854 - logcount_predictions_loss: 0.3106 89/1134 [=>............................] - ETA: 2:27 - loss: 264.0907 - logits_profile_predictions_loss: 260.7684 - logcount_predictions_loss: 0.3105 90/1134 [=>............................] - ETA: 2:27 - loss: 264.0711 - logits_profile_predictions_loss: 260.7496 - logcount_predictions_loss: 0.3104 91/1134 [=>............................] - ETA: 2:27 - loss: 264.0547 - logits_profile_predictions_loss: 260.7341 - logcount_predictions_loss: 0.3103 92/1134 [=>............................] - ETA: 2:27 - loss: 264.0408 - logits_profile_predictions_loss: 260.7211 - logcount_predictions_loss: 0.3103 93/1134 [=>............................] - ETA: 2:27 - loss: 264.0244 - logits_profile_predictions_loss: 260.7056 - logcount_predictions_loss: 0.3102 94/1134 [=>............................] - ETA: 2:27 - loss: 264.0076 - logits_profile_predictions_loss: 260.6896 - logcount_predictions_loss: 0.3101 95/1134 [=>............................] - ETA: 2:27 - loss: 263.9900 - logits_profile_predictions_loss: 260.6728 - logcount_predictions_loss: 0.3100 96/1134 [=>............................] - ETA: 2:26 - loss: 263.9707 - logits_profile_predictions_loss: 260.6542 - logcount_predictions_loss: 0.3099 97/1134 [=>............................] - ETA: 2:26 - loss: 263.9501 - logits_profile_predictions_loss: 260.6343 - logcount_predictions_loss: 0.3099 98/1134 [=>............................] - ETA: 2:26 - loss: 263.9301 - logits_profile_predictions_loss: 260.6150 - logcount_predictions_loss: 0.3098 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logits_profile_predictions_loss: 260.5031 - logcount_predictions_loss: 0.3095 106/1134 [=>............................] - ETA: 2:25 - loss: 263.8008 - logits_profile_predictions_loss: 260.4899 - logcount_predictions_loss: 0.3094 107/1134 [=>............................] - ETA: 2:25 - loss: 263.7883 - logits_profile_predictions_loss: 260.4776 - logcount_predictions_loss: 0.3094 108/1134 [=>............................] - ETA: 2:25 - loss: 263.7759 - logits_profile_predictions_loss: 260.4654 - logcount_predictions_loss: 0.3094 109/1134 [=>............................] - ETA: 2:25 - loss: 263.7649 - logits_profile_predictions_loss: 260.4546 - logcount_predictions_loss: 0.3094 110/1134 [=>............................] - ETA: 2:24 - loss: 263.7555 - logits_profile_predictions_loss: 260.4455 - logcount_predictions_loss: 0.3093 111/1134 [=>............................] - ETA: 2:24 - loss: 263.7440 - logits_profile_predictions_loss: 260.4342 - logcount_predictions_loss: 0.3093 112/1134 [=>............................] - ETA: 2:24 - loss: 263.7309 - logits_profile_predictions_loss: 260.4214 - logcount_predictions_loss: 0.3093 113/1134 [=>............................] - ETA: 2:24 - loss: 263.7197 - logits_profile_predictions_loss: 260.4105 - logcount_predictions_loss: 0.3093 114/1134 [==>...........................] - ETA: 2:24 - loss: 263.7089 - logits_profile_predictions_loss: 260.3999 - logcount_predictions_loss: 0.3093 115/1134 [==>...........................] - ETA: 2:24 - loss: 263.6977 - logits_profile_predictions_loss: 260.3889 - logcount_predictions_loss: 0.3092 116/1134 [==>...........................] - ETA: 2:24 - loss: 263.6858 - logits_profile_predictions_loss: 260.3773 - logcount_predictions_loss: 0.3092 117/1134 [==>...........................] - ETA: 2:23 - loss: 263.6740 - logits_profile_predictions_loss: 260.3656 - logcount_predictions_loss: 0.3092 118/1134 [==>...........................] - ETA: 2:23 - loss: 263.6611 - logits_profile_predictions_loss: 260.3529 - logcount_predictions_loss: 0.3092 119/1134 [==>...........................] - ETA: 2:23 - loss: 263.6491 - logits_profile_predictions_loss: 260.3411 - logcount_predictions_loss: 0.3092 120/1134 [==>...........................] - ETA: 2:23 - loss: 263.6373 - logits_profile_predictions_loss: 260.3295 - logcount_predictions_loss: 0.3091 121/1134 [==>...........................] - ETA: 2:23 - loss: 263.6281 - logits_profile_predictions_loss: 260.3205 - logcount_predictions_loss: 0.3091 122/1134 [==>...........................] - ETA: 2:23 - loss: 263.6187 - logits_profile_predictions_loss: 260.3113 - logcount_predictions_loss: 0.3091 123/1134 [==>...........................] - ETA: 2:23 - loss: 263.6109 - logits_profile_predictions_loss: 260.3038 - logcount_predictions_loss: 0.3091 124/1134 [==>...........................] - ETA: 2:22 - loss: 263.6027 - logits_profile_predictions_loss: 260.2959 - logcount_predictions_loss: 0.3091 125/1134 [==>...........................] - ETA: 2:22 - loss: 263.5949 - logits_profile_predictions_loss: 260.2882 - logcount_predictions_loss: 0.3090 126/1134 [==>...........................] - ETA: 2:22 - loss: 263.5881 - logits_profile_predictions_loss: 260.2817 - logcount_predictions_loss: 0.3090 127/1134 [==>...........................] - ETA: 2:22 - loss: 263.5806 - logits_profile_predictions_loss: 260.2745 - logcount_predictions_loss: 0.3090 128/1134 [==>...........................] - ETA: 2:22 - loss: 263.5752 - logits_profile_predictions_loss: 260.2693 - logcount_predictions_loss: 0.3090 129/1134 [==>...........................] - ETA: 2:22 - loss: 263.5708 - logits_profile_predictions_loss: 260.2653 - logcount_predictions_loss: 0.3089 130/1134 [==>...........................] - ETA: 2:22 - loss: 263.5664 - logits_profile_predictions_loss: 260.2611 - logcount_predictions_loss: 0.3089 131/1134 [==>...........................] - ETA: 2:21 - loss: 263.5609 - logits_profile_predictions_loss: 260.2560 - logcount_predictions_loss: 0.3089 132/1134 [==>...........................] - ETA: 2:21 - loss: 263.5553 - logits_profile_predictions_loss: 260.2507 - logcount_predictions_loss: 0.3088 133/1134 [==>...........................] - ETA: 2:21 - loss: 263.5511 - logits_profile_predictions_loss: 260.2469 - logcount_predictions_loss: 0.3088 134/1134 [==>...........................] - ETA: 2:21 - loss: 263.5478 - logits_profile_predictions_loss: 260.2440 - logcount_predictions_loss: 0.3088 135/1134 [==>...........................] - ETA: 2:21 - loss: 263.5465 - logits_profile_predictions_loss: 260.2430 - logcount_predictions_loss: 0.3087 136/1134 [==>...........................] - ETA: 2:21 - loss: 263.5454 - logits_profile_predictions_loss: 260.2423 - logcount_predictions_loss: 0.3087 137/1134 [==>...........................] - ETA: 2:21 - loss: 263.5447 - logits_profile_predictions_loss: 260.2419 - logcount_predictions_loss: 0.3087 138/1134 [==>...........................] - ETA: 2:21 - loss: 263.5434 - logits_profile_predictions_loss: 260.2409 - logcount_predictions_loss: 0.3086 139/1134 [==>...........................] - ETA: 2:20 - loss: 263.5435 - logits_profile_predictions_loss: 260.2413 - logcount_predictions_loss: 0.3086 140/1134 [==>...........................] - ETA: 2:20 - loss: 263.5439 - logits_profile_predictions_loss: 260.2421 - logcount_predictions_loss: 0.3086 141/1134 [==>...........................] - ETA: 2:20 - loss: 263.5443 - logits_profile_predictions_loss: 260.2428 - logcount_predictions_loss: 0.3086 142/1134 [==>...........................] - ETA: 2:20 - loss: 263.5448 - logits_profile_predictions_loss: 260.2437 - logcount_predictions_loss: 0.3085 143/1134 [==>...........................] - ETA: 2:20 - loss: 263.5462 - logits_profile_predictions_loss: 260.2454 - logcount_predictions_loss: 0.3085 144/1134 [==>...........................] - ETA: 2:20 - loss: 263.5481 - 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[==>...........................] - ETA: 2:19 - loss: 263.5565 - logits_profile_predictions_loss: 260.2594 - logcount_predictions_loss: 0.3081 152/1134 [===>..........................] - ETA: 2:19 - loss: 263.5572 - logits_profile_predictions_loss: 260.2606 - logcount_predictions_loss: 0.3081 153/1134 [===>..........................] - ETA: 2:18 - loss: 263.5576 - logits_profile_predictions_loss: 260.2614 - logcount_predictions_loss: 0.3081 154/1134 [===>..........................] - ETA: 2:18 - loss: 263.5587 - logits_profile_predictions_loss: 260.2630 - logcount_predictions_loss: 0.3080 155/1134 [===>..........................] - ETA: 2:18 - loss: 263.5596 - logits_profile_predictions_loss: 260.2644 - logcount_predictions_loss: 0.3080 156/1134 [===>..........................] - ETA: 2:18 - loss: 263.5618 - logits_profile_predictions_loss: 260.2671 - logcount_predictions_loss: 0.3079 157/1134 [===>..........................] - ETA: 2:18 - loss: 263.5639 - logits_profile_predictions_loss: 260.2698 - logcount_predictions_loss: 0.3079 158/1134 [===>..........................] - ETA: 2:18 - loss: 263.5661 - logits_profile_predictions_loss: 260.2725 - logcount_predictions_loss: 0.3078 159/1134 [===>..........................] - ETA: 2:18 - loss: 263.5687 - logits_profile_predictions_loss: 260.2756 - logcount_predictions_loss: 0.3078 160/1134 [===>..........................] - ETA: 2:17 - loss: 263.5701 - logits_profile_predictions_loss: 260.2775 - logcount_predictions_loss: 0.3077 161/1134 [===>..........................] - ETA: 2:17 - loss: 263.5716 - logits_profile_predictions_loss: 260.2795 - logcount_predictions_loss: 0.3077 162/1134 [===>..........................] - ETA: 2:17 - loss: 263.5730 - logits_profile_predictions_loss: 260.2813 - logcount_predictions_loss: 0.3076 163/1134 [===>..........................] - ETA: 2:17 - loss: 263.5754 - logits_profile_predictions_loss: 260.2843 - logcount_predictions_loss: 0.3076 164/1134 [===>..........................] - ETA: 2:17 - loss: 263.5779 - logits_profile_predictions_loss: 260.2874 - logcount_predictions_loss: 0.3075 165/1134 [===>..........................] - ETA: 2:17 - loss: 263.5819 - logits_profile_predictions_loss: 260.2919 - logcount_predictions_loss: 0.3075 166/1134 [===>..........................] - ETA: 2:17 - loss: 263.5844 - logits_profile_predictions_loss: 260.2949 - logcount_predictions_loss: 0.3074 167/1134 [===>..........................] - ETA: 2:16 - loss: 263.5878 - logits_profile_predictions_loss: 260.2989 - logcount_predictions_loss: 0.3074 168/1134 [===>..........................] - ETA: 2:16 - loss: 263.5909 - logits_profile_predictions_loss: 260.3025 - logcount_predictions_loss: 0.3073 169/1134 [===>..........................] - ETA: 2:16 - loss: 263.5932 - logits_profile_predictions_loss: 260.3054 - logcount_predictions_loss: 0.3073 170/1134 [===>..........................] - ETA: 2:16 - loss: 263.5957 - logits_profile_predictions_loss: 260.3084 - logcount_predictions_loss: 0.3072 171/1134 [===>..........................] - ETA: 2:16 - loss: 263.5979 - logits_profile_predictions_loss: 260.3110 - logcount_predictions_loss: 0.3072 172/1134 [===>..........................] - ETA: 2:16 - loss: 263.6005 - logits_profile_predictions_loss: 260.3140 - logcount_predictions_loss: 0.3071 173/1134 [===>..........................] - ETA: 2:16 - loss: 263.6029 - logits_profile_predictions_loss: 260.3168 - logcount_predictions_loss: 0.3071 174/1134 [===>..........................] - ETA: 2:15 - loss: 263.6046 - logits_profile_predictions_loss: 260.3190 - logcount_predictions_loss: 0.3071 175/1134 [===>..........................] - ETA: 2:15 - loss: 263.6065 - logits_profile_predictions_loss: 260.3213 - logcount_predictions_loss: 0.3070 176/1134 [===>..........................] - ETA: 2:15 - loss: 263.6085 - logits_profile_predictions_loss: 260.3237 - logcount_predictions_loss: 0.3070 177/1134 [===>..........................] - ETA: 2:15 - loss: 263.6114 - logits_profile_predictions_loss: 260.3269 - logcount_predictions_loss: 0.3070 178/1134 [===>..........................] - ETA: 2:15 - loss: 263.6151 - logits_profile_predictions_loss: 260.3310 - logcount_predictions_loss: 0.3069 179/1134 [===>..........................] - ETA: 2:15 - loss: 263.6188 - logits_profile_predictions_loss: 260.3350 - logcount_predictions_loss: 0.3069 180/1134 [===>..........................] - ETA: 2:15 - loss: 263.6220 - logits_profile_predictions_loss: 260.3385 - logcount_predictions_loss: 0.3069 181/1134 [===>..........................] - ETA: 2:14 - loss: 263.6243 - logits_profile_predictions_loss: 260.3410 - logcount_predictions_loss: 0.3068 182/1134 [===>..........................] - ETA: 2:14 - loss: 263.6262 - logits_profile_predictions_loss: 260.3431 - logcount_predictions_loss: 0.3068 183/1134 [===>..........................] - ETA: 2:14 - loss: 263.6277 - logits_profile_predictions_loss: 260.3448 - logcount_predictions_loss: 0.3068 184/1134 [===>..........................] - ETA: 2:14 - loss: 263.6294 - logits_profile_predictions_loss: 260.3467 - logcount_predictions_loss: 0.3068 185/1134 [===>..........................] - ETA: 2:14 - loss: 263.6306 - logits_profile_predictions_loss: 260.3481 - logcount_predictions_loss: 0.3068 186/1134 [===>..........................] - ETA: 2:14 - loss: 263.6318 - logits_profile_predictions_loss: 260.3495 - logcount_predictions_loss: 0.3068 187/1134 [===>..........................] - ETA: 2:14 - loss: 263.6336 - logits_profile_predictions_loss: 260.3514 - logcount_predictions_loss: 0.3067 188/1134 [===>..........................] - ETA: 2:13 - loss: 263.6355 - logits_profile_predictions_loss: 260.3534 - logcount_predictions_loss: 0.3067 189/1134 [====>.........................] - ETA: 2:13 - loss: 263.6373 - logits_profile_predictions_loss: 260.3554 - logcount_predictions_loss: 0.3067 190/1134 [====>.........................] - ETA: 2:13 - loss: 263.6394 - logits_profile_predictions_loss: 260.3576 - logcount_predictions_loss: 0.3067 191/1134 [====>.........................] - ETA: 2:13 - loss: 263.6419 - logits_profile_predictions_loss: 260.3603 - logcount_predictions_loss: 0.3067 192/1134 [====>.........................] - ETA: 2:13 - loss: 263.6435 - logits_profile_predictions_loss: 260.3620 - logcount_predictions_loss: 0.3067 193/1134 [====>.........................] - ETA: 2:13 - loss: 263.6439 - logits_profile_predictions_loss: 260.3626 - logcount_predictions_loss: 0.3067 194/1134 [====>.........................] - ETA: 2:13 - loss: 263.6443 - logits_profile_predictions_loss: 260.3632 - logcount_predictions_loss: 0.3067 195/1134 [====>.........................] - ETA: 2:12 - loss: 263.6445 - logits_profile_predictions_loss: 260.3634 - logcount_predictions_loss: 0.3066 196/1134 [====>.........................] - ETA: 2:12 - loss: 263.6445 - logits_profile_predictions_loss: 260.3635 - logcount_predictions_loss: 0.3066 197/1134 [====>.........................] - ETA: 2:12 - loss: 263.6446 - logits_profile_predictions_loss: 260.3638 - logcount_predictions_loss: 0.3066 198/1134 [====>.........................] - ETA: 2:12 - loss: 263.6448 - logits_profile_predictions_loss: 260.3641 - logcount_predictions_loss: 0.3066 199/1134 [====>.........................] - ETA: 2:12 - loss: 263.6448 - logits_profile_predictions_loss: 260.3642 - logcount_predictions_loss: 0.3066 200/1134 [====>.........................] - ETA: 2:12 - loss: 263.6449 - logits_profile_predictions_loss: 260.3644 - logcount_predictions_loss: 0.3066 201/1134 [====>.........................] - ETA: 2:12 - loss: 263.6452 - logits_profile_predictions_loss: 260.3649 - logcount_predictions_loss: 0.3066 202/1134 [====>.........................] - ETA: 2:11 - loss: 263.6456 - logits_profile_predictions_loss: 260.3655 - logcount_predictions_loss: 0.3066 203/1134 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logits_profile_predictions_loss: 251.8451 - logcount_predictions_loss: 0.2643 49/1134 [>.............................] - ETA: 2:33 - loss: 254.7036 - logits_profile_predictions_loss: 251.8760 - logcount_predictions_loss: 0.2643 50/1134 [>.............................] - ETA: 2:32 - loss: 254.7356 - logits_profile_predictions_loss: 251.9087 - logcount_predictions_loss: 0.2642 51/1134 [>.............................] - ETA: 2:32 - loss: 254.7687 - logits_profile_predictions_loss: 251.9427 - logcount_predictions_loss: 0.2641 52/1134 [>.............................] - ETA: 2:32 - loss: 254.8045 - logits_profile_predictions_loss: 251.9799 - logcount_predictions_loss: 0.2640 53/1134 [>.............................] - ETA: 2:32 - loss: 254.8379 - logits_profile_predictions_loss: 252.0147 - logcount_predictions_loss: 0.2638 54/1134 [>.............................] - ETA: 2:32 - loss: 254.8775 - logits_profile_predictions_loss: 252.0561 - logcount_predictions_loss: 0.2637 55/1134 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[=====>........................] - ETA: 2:04 - loss: 258.0540 - logits_profile_predictions_loss: 255.2922 - logcount_predictions_loss: 0.2581 252/1134 [=====>........................] - ETA: 2:04 - loss: 258.0599 - logits_profile_predictions_loss: 255.2982 - logcount_predictions_loss: 0.2581 253/1134 [=====>........................] - ETA: 2:04 - loss: 258.0656 - logits_profile_predictions_loss: 255.3041 - logcount_predictions_loss: 0.2581 254/1134 [=====>........................] - ETA: 2:04 - loss: 258.0720 - logits_profile_predictions_loss: 255.3106 - logcount_predictions_loss: 0.2581 255/1134 [=====>........................] - ETA: 2:03 - loss: 258.0784 - logits_profile_predictions_loss: 255.3170 - logcount_predictions_loss: 0.2581 256/1134 [=====>........................] - ETA: 2:03 - loss: 258.0847 - logits_profile_predictions_loss: 255.3235 - logcount_predictions_loss: 0.2581 257/1134 [=====>........................] - ETA: 2:03 - loss: 258.0912 - 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[>.............................] - ETA: 2:31 - loss: 258.8697 - logits_profile_predictions_loss: 256.3747 - logcount_predictions_loss: 0.2332 45/1134 [>.............................] - ETA: 2:31 - loss: 258.8789 - logits_profile_predictions_loss: 256.3843 - logcount_predictions_loss: 0.2331 46/1134 [>.............................] - ETA: 2:31 - loss: 258.8769 - logits_profile_predictions_loss: 256.3827 - logcount_predictions_loss: 0.2331 47/1134 [>.............................] - ETA: 2:31 - loss: 258.8679 - logits_profile_predictions_loss: 256.3743 - logcount_predictions_loss: 0.2330 48/1134 [>.............................] - ETA: 2:31 - loss: 258.8665 - logits_profile_predictions_loss: 256.3737 - logcount_predictions_loss: 0.2330 49/1134 [>.............................] - ETA: 2:31 - loss: 258.8563 - logits_profile_predictions_loss: 256.3646 - logcount_predictions_loss: 0.2329 50/1134 [>.............................] - ETA: 2:31 - loss: 258.8523 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 256.0759 - logcount_predictions_loss: 0.2316 104/1134 [=>............................] - ETA: 2:24 - loss: 258.5601 - logits_profile_predictions_loss: 256.0820 - logcount_predictions_loss: 0.2316 105/1134 [=>............................] - ETA: 2:24 - loss: 258.5691 - logits_profile_predictions_loss: 256.0909 - logcount_predictions_loss: 0.2316 106/1134 [=>............................] - ETA: 2:24 - loss: 258.5781 - logits_profile_predictions_loss: 256.0996 - logcount_predictions_loss: 0.2316 107/1134 [=>............................] - ETA: 2:23 - loss: 258.5869 - logits_profile_predictions_loss: 256.1082 - logcount_predictions_loss: 0.2317 108/1134 [=>............................] - ETA: 2:23 - loss: 258.5947 - logits_profile_predictions_loss: 256.1159 - logcount_predictions_loss: 0.2317 109/1134 [=>............................] - ETA: 2:23 - loss: 258.6006 - logits_profile_predictions_loss: 256.1215 - logcount_predictions_loss: 0.2317 110/1134 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logits_profile_predictions_loss: 256.1782 - logcount_predictions_loss: 0.2318 117/1134 [==>...........................] - ETA: 2:22 - loss: 258.6663 - logits_profile_predictions_loss: 256.1860 - logcount_predictions_loss: 0.2318 118/1134 [==>...........................] - ETA: 2:22 - loss: 258.6742 - logits_profile_predictions_loss: 256.1938 - logcount_predictions_loss: 0.2318 119/1134 [==>...........................] - ETA: 2:22 - loss: 258.6814 - logits_profile_predictions_loss: 256.2009 - logcount_predictions_loss: 0.2318 120/1134 [==>...........................] - ETA: 2:22 - loss: 258.6878 - logits_profile_predictions_loss: 256.2070 - logcount_predictions_loss: 0.2318 121/1134 [==>...........................] - ETA: 2:22 - loss: 258.6952 - logits_profile_predictions_loss: 256.2142 - logcount_predictions_loss: 0.2319 122/1134 [==>...........................] - ETA: 2:22 - loss: 258.7014 - logits_profile_predictions_loss: 256.2202 - logcount_predictions_loss: 0.2319 123/1134 [==>...........................] - ETA: 2:21 - loss: 258.7071 - logits_profile_predictions_loss: 256.2257 - logcount_predictions_loss: 0.2319 124/1134 [==>...........................] - ETA: 2:21 - loss: 258.7116 - logits_profile_predictions_loss: 256.2301 - logcount_predictions_loss: 0.2319 125/1134 [==>...........................] - ETA: 2:21 - loss: 258.7151 - logits_profile_predictions_loss: 256.2334 - logcount_predictions_loss: 0.2319 126/1134 [==>...........................] - ETA: 2:21 - loss: 258.7198 - logits_profile_predictions_loss: 256.2380 - logcount_predictions_loss: 0.2320 127/1134 [==>...........................] - ETA: 2:21 - loss: 258.7231 - logits_profile_predictions_loss: 256.2410 - logcount_predictions_loss: 0.2320 128/1134 [==>...........................] - ETA: 2:21 - loss: 258.7255 - logits_profile_predictions_loss: 256.2432 - logcount_predictions_loss: 0.2320 129/1134 [==>...........................] - ETA: 2:21 - loss: 258.7273 - 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[==>...........................] - ETA: 2:18 - loss: 258.7493 - logits_profile_predictions_loss: 256.2581 - logcount_predictions_loss: 0.2328 150/1134 [==>...........................] - ETA: 2:18 - loss: 258.7504 - logits_profile_predictions_loss: 256.2588 - logcount_predictions_loss: 0.2329 151/1134 [==>...........................] - ETA: 2:18 - loss: 258.7512 - logits_profile_predictions_loss: 256.2591 - logcount_predictions_loss: 0.2329 152/1134 [===>..........................] - ETA: 2:17 - loss: 258.7518 - logits_profile_predictions_loss: 256.2594 - logcount_predictions_loss: 0.2329 153/1134 [===>..........................] - ETA: 2:17 - loss: 258.7522 - logits_profile_predictions_loss: 256.2593 - logcount_predictions_loss: 0.2330 154/1134 [===>..........................] - ETA: 2:17 - loss: 258.7527 - logits_profile_predictions_loss: 256.2594 - logcount_predictions_loss: 0.2330 155/1134 [===>..........................] - ETA: 2:17 - loss: 258.7528 - 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logits_profile_predictions_loss: 256.2519 - logcount_predictions_loss: 0.2335 169/1134 [===>..........................] - ETA: 2:15 - loss: 258.7515 - logits_profile_predictions_loss: 256.2527 - logcount_predictions_loss: 0.2335 170/1134 [===>..........................] - ETA: 2:15 - loss: 258.7525 - logits_profile_predictions_loss: 256.2534 - logcount_predictions_loss: 0.2336 171/1134 [===>..........................] - ETA: 2:15 - loss: 258.7528 - logits_profile_predictions_loss: 256.2535 - logcount_predictions_loss: 0.2336 172/1134 [===>..........................] - ETA: 2:15 - loss: 258.7527 - logits_profile_predictions_loss: 256.2531 - logcount_predictions_loss: 0.2336 173/1134 [===>..........................] - ETA: 2:15 - loss: 258.7524 - logits_profile_predictions_loss: 256.2526 - logcount_predictions_loss: 0.2336 174/1134 [===>..........................] - ETA: 2:14 - loss: 258.7519 - logits_profile_predictions_loss: 256.2519 - logcount_predictions_loss: 0.2337 175/1134 [===>..........................] - ETA: 2:14 - loss: 258.7513 - logits_profile_predictions_loss: 256.2510 - logcount_predictions_loss: 0.2337 176/1134 [===>..........................] - ETA: 2:14 - loss: 258.7505 - logits_profile_predictions_loss: 256.2500 - logcount_predictions_loss: 0.2337 177/1134 [===>..........................] - ETA: 2:14 - loss: 258.7505 - logits_profile_predictions_loss: 256.2497 - logcount_predictions_loss: 0.2337 178/1134 [===>..........................] - ETA: 2:14 - loss: 258.7512 - logits_profile_predictions_loss: 256.2501 - logcount_predictions_loss: 0.2337 179/1134 [===>..........................] - ETA: 2:14 - loss: 258.7518 - logits_profile_predictions_loss: 256.2506 - logcount_predictions_loss: 0.2338 180/1134 [===>..........................] - ETA: 2:14 - loss: 258.7528 - logits_profile_predictions_loss: 256.2513 - logcount_predictions_loss: 0.2338 181/1134 [===>..........................] - ETA: 2:13 - loss: 258.7539 - 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[==========================>...] - ETA: 10s - loss: 258.2904 - logits_profile_predictions_loss: 255.7769 - logcount_predictions_loss: 0.2349 1058/1134 [==========================>...] - ETA: 10s - loss: 258.2896 - logits_profile_predictions_loss: 255.7762 - logcount_predictions_loss: 0.2349 1059/1134 [===========================>..] - ETA: 10s - loss: 258.2889 - logits_profile_predictions_loss: 255.7755 - logcount_predictions_loss: 0.2349 1060/1134 [===========================>..] - ETA: 10s - loss: 258.2881 - logits_profile_predictions_loss: 255.7747 - logcount_predictions_loss: 0.2349 1061/1134 [===========================>..] - ETA: 10s - loss: 258.2874 - logits_profile_predictions_loss: 255.7740 - logcount_predictions_loss: 0.2349 1062/1134 [===========================>..] - ETA: 10s - loss: 258.2867 - logits_profile_predictions_loss: 255.7733 - logcount_predictions_loss: 0.2349 1063/1134 [===========================>..] - ETA: 10s - loss: 258.2859 - logits_profile_predictions_loss: 255.7726 - logcount_predictions_loss: 0.2349 1064/1134 [===========================>..] - ETA: 9s - loss: 258.2852 - logits_profile_predictions_loss: 255.7719 - logcount_predictions_loss: 0.2349  1065/1134 [===========================>..] - ETA: 9s - loss: 258.2845 - logits_profile_predictions_loss: 255.7712 - logcount_predictions_loss: 0.2349 1066/1134 [===========================>..] - ETA: 9s - loss: 258.2838 - logits_profile_predictions_loss: 255.7705 - logcount_predictions_loss: 0.2349 1067/1134 [===========================>..] - ETA: 9s - loss: 258.2831 - logits_profile_predictions_loss: 255.7698 - logcount_predictions_loss: 0.2349 1068/1134 [===========================>..] - ETA: 9s - loss: 258.2825 - logits_profile_predictions_loss: 255.7691 - logcount_predictions_loss: 0.2349 1069/1134 [===========================>..] - ETA: 9s - loss: 258.2818 - logits_profile_predictions_loss: 255.7685 - logcount_predictions_loss: 0.2349 1070/1134 [===========================>..] - ETA: 9s - loss: 258.2811 - logits_profile_predictions_loss: 255.7678 - logcount_predictions_loss: 0.2349 1071/1134 [===========================>..] - ETA: 8s - loss: 258.2805 - logits_profile_predictions_loss: 255.7672 - logcount_predictions_loss: 0.2349 1072/1134 [===========================>..] - ETA: 8s - loss: 258.2799 - logits_profile_predictions_loss: 255.7666 - logcount_predictions_loss: 0.2349 1073/1134 [===========================>..] - ETA: 8s - loss: 258.2793 - logits_profile_predictions_loss: 255.7660 - logcount_predictions_loss: 0.2349 1074/1134 [===========================>..] - ETA: 8s - loss: 258.2786 - logits_profile_predictions_loss: 255.7653 - logcount_predictions_loss: 0.2349 1075/1134 [===========================>..] - ETA: 8s - loss: 258.2780 - logits_profile_predictions_loss: 255.7647 - logcount_predictions_loss: 0.2349 1076/1134 [===========================>..] - ETA: 8s - loss: 258.2774 - logits_profile_predictions_loss: 255.7641 - logcount_predictions_loss: 0.2349 1077/1134 [===========================>..] - ETA: 8s - loss: 258.2768 - logits_profile_predictions_loss: 255.7635 - logcount_predictions_loss: 0.2349 1078/1134 [===========================>..] - ETA: 7s - loss: 258.2762 - logits_profile_predictions_loss: 255.7629 - logcount_predictions_loss: 0.2349 1079/1134 [===========================>..] - ETA: 7s - loss: 258.2756 - logits_profile_predictions_loss: 255.7623 - logcount_predictions_loss: 0.2349 1080/1134 [===========================>..] - ETA: 7s - loss: 258.2750 - logits_profile_predictions_loss: 255.7617 - logcount_predictions_loss: 0.2349 1081/1134 [===========================>..] - ETA: 7s - loss: 258.2744 - logits_profile_predictions_loss: 255.7611 - logcount_predictions_loss: 0.2349 1082/1134 [===========================>..] - ETA: 7s - loss: 258.2738 - logits_profile_predictions_loss: 255.7606 - logcount_predictions_loss: 0.2349 1083/1134 [===========================>..] - ETA: 7s - loss: 258.2732 - logits_profile_predictions_loss: 255.7600 - logcount_predictions_loss: 0.2349 1084/1134 [===========================>..] - ETA: 7s - loss: 258.2726 - logits_profile_predictions_loss: 255.7594 - logcount_predictions_loss: 0.2349 1085/1134 [===========================>..] - ETA: 6s - loss: 258.2720 - logits_profile_predictions_loss: 255.7588 - logcount_predictions_loss: 0.2349 1086/1134 [===========================>..] - ETA: 6s - loss: 258.2714 - logits_profile_predictions_loss: 255.7583 - logcount_predictions_loss: 0.2349 1087/1134 [===========================>..] - ETA: 6s - loss: 258.2709 - logits_profile_predictions_loss: 255.7577 - logcount_predictions_loss: 0.2349 1088/1134 [===========================>..] - ETA: 6s - loss: 258.2703 - logits_profile_predictions_loss: 255.7571 - logcount_predictions_loss: 0.2349 1089/1134 [===========================>..] - ETA: 6s - loss: 258.2697 - logits_profile_predictions_loss: 255.7565 - logcount_predictions_loss: 0.2349 1090/1134 [===========================>..] - ETA: 6s - loss: 258.2691 - logits_profile_predictions_loss: 255.7560 - logcount_predictions_loss: 0.2349 1091/1134 [===========================>..] - ETA: 6s - loss: 258.2686 - logits_profile_predictions_loss: 255.7554 - logcount_predictions_loss: 0.2349 1092/1134 [===========================>..] - ETA: 5s - loss: 258.2681 - logits_profile_predictions_loss: 255.7549 - logcount_predictions_loss: 0.2349 1093/1134 [===========================>..] - ETA: 5s - loss: 258.2675 - logits_profile_predictions_loss: 255.7544 - logcount_predictions_loss: 0.2349 1094/1134 [===========================>..] - ETA: 5s - loss: 258.2670 - logits_profile_predictions_loss: 255.7539 - logcount_predictions_loss: 0.2349 1095/1134 [===========================>..] - ETA: 5s - loss: 258.2665 - logits_profile_predictions_loss: 255.7534 - logcount_predictions_loss: 0.2349 1096/1134 [===========================>..] - ETA: 5s - loss: 258.2659 - logits_profile_predictions_loss: 255.7528 - logcount_predictions_loss: 0.2349 1097/1134 [============================>.] - ETA: 5s - loss: 258.2654 - logits_profile_predictions_loss: 255.7523 - logcount_predictions_loss: 0.2349 1098/1134 [============================>.] - ETA: 5s - loss: 258.2649 - logits_profile_predictions_loss: 255.7518 - logcount_predictions_loss: 0.2349 1099/1134 [============================>.] - ETA: 4s - loss: 258.2643 - logits_profile_predictions_loss: 255.7513 - logcount_predictions_loss: 0.2349 1100/1134 [============================>.] - ETA: 4s - loss: 258.2638 - logits_profile_predictions_loss: 255.7507 - logcount_predictions_loss: 0.2349 1101/1134 [============================>.] - ETA: 4s - loss: 258.2633 - logits_profile_predictions_loss: 255.7502 - logcount_predictions_loss: 0.2349 1102/1134 [============================>.] - ETA: 4s - loss: 258.2628 - logits_profile_predictions_loss: 255.7497 - logcount_predictions_loss: 0.2349 1103/1134 [============================>.] - ETA: 4s - loss: 258.2622 - logits_profile_predictions_loss: 255.7492 - logcount_predictions_loss: 0.2349 1104/1134 [============================>.] - ETA: 4s - loss: 258.2617 - logits_profile_predictions_loss: 255.7487 - logcount_predictions_loss: 0.2349 1105/1134 [============================>.] - ETA: 4s - loss: 258.2612 - logits_profile_predictions_loss: 255.7482 - logcount_predictions_loss: 0.2349 1106/1134 [============================>.] - ETA: 3s - loss: 258.2607 - logits_profile_predictions_loss: 255.7476 - logcount_predictions_loss: 0.2349 1107/1134 [============================>.] - ETA: 3s - loss: 258.2601 - logits_profile_predictions_loss: 255.7471 - logcount_predictions_loss: 0.2349 1108/1134 [============================>.] - ETA: 3s - loss: 258.2596 - logits_profile_predictions_loss: 255.7465 - logcount_predictions_loss: 0.2349 1109/1134 [============================>.] - ETA: 3s - loss: 258.2590 - logits_profile_predictions_loss: 255.7460 - logcount_predictions_loss: 0.2349 1110/1134 [============================>.] - ETA: 3s - loss: 258.2584 - logits_profile_predictions_loss: 255.7454 - logcount_predictions_loss: 0.2349 1111/1134 [============================>.] - ETA: 3s - loss: 258.2579 - logits_profile_predictions_loss: 255.7449 - logcount_predictions_loss: 0.2349 1112/1134 [============================>.] - ETA: 3s - loss: 258.2573 - logits_profile_predictions_loss: 255.7443 - logcount_predictions_loss: 0.2349 1113/1134 [============================>.] - ETA: 2s - loss: 258.2568 - logits_profile_predictions_loss: 255.7438 - logcount_predictions_loss: 0.2349 1114/1134 [============================>.] - ETA: 2s - loss: 258.2562 - logits_profile_predictions_loss: 255.7432 - logcount_predictions_loss: 0.2349 1115/1134 [============================>.] - ETA: 2s - loss: 258.2556 - logits_profile_predictions_loss: 255.7427 - logcount_predictions_loss: 0.2349 1116/1134 [============================>.] - ETA: 2s - loss: 258.2551 - logits_profile_predictions_loss: 255.7421 - logcount_predictions_loss: 0.2349 1117/1134 [============================>.] - ETA: 2s - loss: 258.2545 - logits_profile_predictions_loss: 255.7416 - logcount_predictions_loss: 0.2349 1118/1134 [============================>.] - ETA: 2s - loss: 258.2539 - logits_profile_predictions_loss: 255.7410 - logcount_predictions_loss: 0.2349 1119/1134 [============================>.] - ETA: 2s - loss: 258.2534 - logits_profile_predictions_loss: 255.7405 - logcount_predictions_loss: 0.2349 1120/1134 [============================>.] - ETA: 1s - loss: 258.2528 - logits_profile_predictions_loss: 255.7399 - logcount_predictions_loss: 0.2349 1121/1134 [============================>.] - ETA: 1s - loss: 258.2523 - logits_profile_predictions_loss: 255.7394 - logcount_predictions_loss: 0.2349 1122/1134 [============================>.] - ETA: 1s - loss: 258.2518 - logits_profile_predictions_loss: 255.7389 - logcount_predictions_loss: 0.2349 1123/1134 [============================>.] - ETA: 1s - loss: 258.2512 - logits_profile_predictions_loss: 255.7383 - logcount_predictions_loss: 0.2349 1124/1134 [============================>.] - ETA: 1s - loss: 258.2507 - logits_profile_predictions_loss: 255.7378 - logcount_predictions_loss: 0.2349 1125/1134 [============================>.] - ETA: 1s - loss: 258.2502 - logits_profile_predictions_loss: 255.7373 - logcount_predictions_loss: 0.2349 1126/1134 [============================>.] - ETA: 1s - loss: 258.2497 - logits_profile_predictions_loss: 255.7368 - logcount_predictions_loss: 0.2348 1127/1134 [============================>.] - ETA: 0s - loss: 258.2492 - logits_profile_predictions_loss: 255.7363 - logcount_predictions_loss: 0.2348 1128/1134 [============================>.] - ETA: 0s - loss: 258.2487 - logits_profile_predictions_loss: 255.7358 - logcount_predictions_loss: 0.2348 1129/1134 [============================>.] - ETA: 0s - loss: 258.2481 - logits_profile_predictions_loss: 255.7353 - logcount_predictions_loss: 0.2348 1130/1134 [============================>.] - ETA: 0s - loss: 258.2476 - logits_profile_predictions_loss: 255.7348 - logcount_predictions_loss: 0.2348 1131/1134 [============================>.] - ETA: 0s - loss: 258.2471 - logits_profile_predictions_loss: 255.7342 - logcount_predictions_loss: 0.2348 1132/1134 [============================>.] - ETA: 0s - loss: 258.2466 - logits_profile_predictions_loss: 255.7337 - logcount_predictions_loss: 0.2348 1133/1134 [============================>.] - ETA: 0s - loss: 258.2460 - logits_profile_predictions_loss: 255.7332 - logcount_predictions_loss: 0.2348 1134/1134 [==============================] - ETA: 0s - loss: 258.2455 - logits_profile_predictions_loss: 255.7327 - logcount_predictions_loss: 0.2348 1134/1134 [==============================] - 167s 147ms/step - loss: 258.2450 - logits_profile_predictions_loss: 255.7321 - logcount_predictions_loss: 0.2348 - val_loss: 283.1053 - val_logits_profile_predictions_loss: 280.0641 - val_logcount_predictions_loss: 0.2842 + +Epoch 00011: val_loss did not improve from 280.80942 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-09-22_05-59-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(15566, 10) +loading nonpeaks... +got split:test for bed regions:(14144, 10) +0/117 +100/117 +2022-09-22_06-00-37: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(15566, 10) +loading nonpeaks... +got split:test for bed regions:(14144, 10) +0/117 +100/117 +2022-09-22_06-01-49: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(15566, 10) +loading nonpeaks... +got split:test for bed regions:(14144, 10) +0/117 +100/117 +2022-09-22_06-02-39: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_06-02-39: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 1:41 3/18 [====>.........................] - ETA: 4s  4/18 [=====>........................] - ETA: 5s 5/18 [=======>......................] - ETA: 6s 6/18 [=========>....................] - ETA: 6s 7/18 [==========>...................] - ETA: 5s 8/18 [============>.................] - ETA: 5s 9/18 [==============>...............] - ETA: 4s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 3s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 2s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 20s 807ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +Saving marginal footprints +2022-09-22_06-04-50: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_06-04-50: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 42s 3/18 [====>.........................] - ETA: 0s  5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 4s 77ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +Saving marginal footprints diff --git a/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stdout_v1.txt b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d28489127f198826b358f2e244f1673b614f58d9 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR823ZCR/logfile.modelling.fold_2.ENCSR823ZCR.stdout_v1.txt @@ -0,0 +1,446 @@ +2022-09-22_05-23-43: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_2/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] +Number of peaks input: 73380 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 73380 +Number of peaks input: 15566 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 15566 +Number of non peaks input: 74801 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 74801 +Number of non peaks input: 14144 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 14144 +Number of peaks after removing outliers: 72572 +Number of nonpeaks after removing outliers: 66571 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/2081 [..............................] - ETA: 4:01:20 12/2081 [..............................] - ETA: 10s  23/2081 [..............................] - ETA: 10s 33/2081 [..............................] - ETA: 10s 44/2081 [..............................] - ETA: 9s  55/2081 [..............................] - ETA: 9s 67/2081 [..............................] - ETA: 9s 79/2081 [>.............................] - ETA: 9s 91/2081 [>.............................] - ETA: 9s 103/2081 [>.............................] - ETA: 9s 115/2081 [>.............................] - ETA: 9s 127/2081 [>.............................] - ETA: 9s 139/2081 [=>............................] - ETA: 8s 151/2081 [=>............................] - ETA: 8s 163/2081 [=>............................] - ETA: 8s 175/2081 [=>............................] - ETA: 8s 186/2081 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1937/2081 [==========================>...] - ETA: 0s 1948/2081 [===========================>..] - ETA: 0s 1959/2081 [===========================>..] - ETA: 0s 1971/2081 [===========================>..] - ETA: 0s 1982/2081 [===========================>..] - ETA: 0s 1993/2081 [===========================>..] - ETA: 0s 2005/2081 [===========================>..] - ETA: 0s 2016/2081 [============================>.] - ETA: 0s 2028/2081 [============================>.] - ETA: 0s 2039/2081 [============================>.] - ETA: 0s 2051/2081 [============================>.] - ETA: 0s 2063/2081 [============================>.] - ETA: 0s 2074/2081 [============================>.] - ETA: 0s 2081/2081 [==============================] - ETA: 0s 2081/2081 [==============================] - 16s 5ms/step +2022-09-22_05-25-52: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(65948, 10) +loading nonpeaks... +got split:train for bed regions:(59555, 10) +loading peaks... +got split:valid for bed regions:(6624, 10) +loading nonpeaks... +got split:valid for bed regions:(7016, 10) +Epoch 1/50 + 1/1134 [..............................] - ETA: 1:48:51 - loss: 294.8607 - logits_profile_predictions_loss: 274.5349 - logcount_predictions_loss: 1.8996 2/1134 [..............................] - ETA: 2:40 - loss: 2450.3529 - logits_profile_predictions_loss: 281.6912 - logcount_predictions_loss: 202.6787 3/1134 [..............................] - ETA: 2:39 - loss: 2694.9466 - logits_profile_predictions_loss: 286.9074 - logcount_predictions_loss: 225.0504 4/1134 [..............................] - ETA: 2:39 - loss: 2636.7185 - logits_profile_predictions_loss: 288.0094 - logcount_predictions_loss: 219.5055 5/1134 [..............................] - ETA: 2:39 - loss: 2516.6903 - logits_profile_predictions_loss: 289.3203 - logcount_predictions_loss: 208.1654 6/1134 [..............................] - ETA: 2:39 - loss: 2388.5297 - logits_profile_predictions_loss: 289.8454 - logcount_predictions_loss: 196.1387 7/1134 [..............................] - ETA: 2:39 - loss: 2267.4986 - logits_profile_predictions_loss: 289.9714 - logcount_predictions_loss: 184.8156 8/1134 [..............................] - ETA: 2:39 - loss: 2156.9744 - logits_profile_predictions_loss: 289.5630 - logcount_predictions_loss: 174.5244 9/1134 [..............................] - ETA: 2:38 - loss: 2057.4961 - logits_profile_predictions_loss: 289.0088 - logcount_predictions_loss: 165.2792 10/1134 [..............................] - ETA: 2:38 - loss: 1968.3454 - logits_profile_predictions_loss: 288.5271 - logcount_predictions_loss: 156.9924 11/1134 [..............................] - ETA: 2:38 - loss: 1888.0369 - logits_profile_predictions_loss: 287.9100 - logcount_predictions_loss: 149.5446 12/1134 [..............................] - ETA: 2:38 - loss: 1815.8563 - logits_profile_predictions_loss: 287.5479 - logcount_predictions_loss: 142.8326 13/1134 [..............................] - ETA: 2:38 - loss: 1750.3135 - logits_profile_predictions_loss: 287.0449 - logcount_predictions_loss: 136.7541 14/1134 [..............................] - ETA: 2:38 - loss: 1690.8217 - logits_profile_predictions_loss: 286.6648 - logcount_predictions_loss: 131.2296 15/1134 [..............................] - ETA: 2:38 - loss: 1636.5308 - logits_profile_predictions_loss: 286.3247 - logcount_predictions_loss: 126.1875 16/1134 [..............................] - ETA: 2:37 - loss: 1586.8008 - logits_profile_predictions_loss: 286.0347 - logcount_predictions_loss: 121.5669 17/1134 [..............................] - ETA: 2:37 - loss: 1540.9231 - logits_profile_predictions_loss: 285.6610 - logcount_predictions_loss: 117.3142 18/1134 [..............................] - ETA: 2:37 - loss: 1498.6394 - logits_profile_predictions_loss: 285.3755 - logcount_predictions_loss: 113.3892 19/1134 [..............................] - ETA: 2:37 - loss: 1459.5552 - logits_profile_predictions_loss: 285.1799 - logcount_predictions_loss: 109.7547 20/1134 [..............................] - ETA: 2:37 - loss: 1423.2475 - logits_profile_predictions_loss: 285.0012 - logcount_predictions_loss: 106.3782 21/1134 [..............................] - ETA: 2:37 - loss: 1389.3901 - logits_profile_predictions_loss: 284.8107 - logcount_predictions_loss: 103.2317 22/1134 [..............................] - ETA: 2:36 - loss: 1357.7289 - logits_profile_predictions_loss: 284.6091 - logcount_predictions_loss: 100.2916 23/1134 [..............................] - ETA: 2:36 - loss: 1328.0723 - logits_profile_predictions_loss: 284.4156 - logcount_predictions_loss: 97.5380  24/1134 [..............................] - ETA: 2:36 - loss: 1300.2344 - logits_profile_predictions_loss: 284.2357 - logcount_predictions_loss: 94.9531 25/1134 [..............................] - ETA: 2:36 - loss: 1273.9763 - logits_profile_predictions_loss: 284.0066 - logcount_predictions_loss: 92.5205 26/1134 [..............................] - ETA: 2:36 - loss: 1249.2385 - logits_profile_predictions_loss: 283.8032 - logcount_predictions_loss: 90.2276 27/1134 [..............................] - ETA: 2:36 - loss: 1225.8609 - logits_profile_predictions_loss: 283.5973 - logcount_predictions_loss: 88.0620 28/1134 [..............................] - ETA: 2:36 - loss: 1203.7194 - logits_profile_predictions_loss: 283.3813 - logcount_predictions_loss: 86.0129 29/1134 [..............................] - ETA: 3:21 - loss: 1182.9128 - logits_profile_predictions_loss: 283.1650 - logcount_predictions_loss: 84.0886 30/1134 [..............................] - ETA: 3:19 - loss: 1163.1231 - logits_profile_predictions_loss: 282.9377 - logcount_predictions_loss: 82.2603 31/1134 [..............................] - ETA: 3:17 - loss: 1144.2917 - logits_profile_predictions_loss: 282.7168 - logcount_predictions_loss: 80.5210 32/1134 [..............................] - ETA: 3:16 - loss: 1126.3484 - logits_profile_predictions_loss: 282.5024 - logcount_predictions_loss: 78.8641 33/1134 [..............................] - ETA: 3:14 - loss: 1109.2290 - logits_profile_predictions_loss: 282.2939 - logcount_predictions_loss: 77.2836 34/1134 [..............................] - ETA: 3:13 - loss: 1092.9180 - logits_profile_predictions_loss: 282.1261 - logcount_predictions_loss: 75.7749 35/1134 [..............................] - ETA: 3:12 - loss: 1077.3362 - logits_profile_predictions_loss: 281.9764 - logcount_predictions_loss: 74.3327 36/1134 [..............................] - ETA: 3:10 - loss: 1062.4127 - logits_profile_predictions_loss: 281.8243 - logcount_predictions_loss: 72.9522 37/1134 [..............................] - ETA: 3:09 - loss: 1048.1089 - logits_profile_predictions_loss: 281.6741 - logcount_predictions_loss: 71.6294 38/1134 [>.............................] - ETA: 3:08 - loss: 1034.3849 - logits_profile_predictions_loss: 281.5241 - logcount_predictions_loss: 70.3608 39/1134 [>.............................] - ETA: 3:07 - loss: 1021.2282 - logits_profile_predictions_loss: 281.3955 - logcount_predictions_loss: 69.1432 40/1134 [>.............................] - ETA: 3:06 - loss: 1008.5592 - logits_profile_predictions_loss: 281.2468 - logcount_predictions_loss: 67.9731 41/1134 [>.............................] - ETA: 3:05 - loss: 996.3799 - logits_profile_predictions_loss: 281.1067 - logcount_predictions_loss: 66.8480  42/1134 [>.............................] - ETA: 3:04 - loss: 984.6756 - logits_profile_predictions_loss: 280.9877 - logcount_predictions_loss: 65.7652 43/1134 [>.............................] - ETA: 3:03 - loss: 973.4221 - logits_profile_predictions_loss: 280.8911 - logcount_predictions_loss: 64.7225 44/1134 [>.............................] - ETA: 3:02 - loss: 962.5808 - logits_profile_predictions_loss: 280.8050 - logcount_predictions_loss: 63.7174 45/1134 [>.............................] - ETA: 3:01 - loss: 952.1193 - logits_profile_predictions_loss: 280.7197 - logcount_predictions_loss: 62.7476 46/1134 [>.............................] - ETA: 3:01 - loss: 942.0261 - logits_profile_predictions_loss: 280.6430 - logcount_predictions_loss: 61.8115 47/1134 [>.............................] - ETA: 3:00 - loss: 932.2596 - logits_profile_predictions_loss: 280.5555 - logcount_predictions_loss: 60.9069 48/1134 [>.............................] - ETA: 2:59 - loss: 922.8110 - logits_profile_predictions_loss: 280.4645 - logcount_predictions_loss: 60.0324 49/1134 [>.............................] - ETA: 2:58 - loss: 913.6753 - logits_profile_predictions_loss: 280.3802 - logcount_predictions_loss: 59.1865 50/1134 [>.............................] - ETA: 2:58 - loss: 904.8530 - logits_profile_predictions_loss: 280.3158 - logcount_predictions_loss: 58.3680 51/1134 [>.............................] - ETA: 2:57 - loss: 896.2989 - logits_profile_predictions_loss: 280.2444 - logcount_predictions_loss: 57.5752 52/1134 [>.............................] - ETA: 2:56 - loss: 888.0045 - logits_profile_predictions_loss: 280.1702 - logcount_predictions_loss: 56.8069 53/1134 [>.............................] - ETA: 2:56 - loss: 879.9630 - logits_profile_predictions_loss: 280.0988 - logcount_predictions_loss: 56.0621 54/1134 [>.............................] - ETA: 2:55 - loss: 872.1576 - logits_profile_predictions_loss: 280.0259 - logcount_predictions_loss: 55.3394 55/1134 [>.............................] - ETA: 2:55 - loss: 864.5896 - logits_profile_predictions_loss: 279.9616 - logcount_predictions_loss: 54.6381 56/1134 [>.............................] - ETA: 2:54 - loss: 857.2402 - logits_profile_predictions_loss: 279.8992 - logcount_predictions_loss: 53.9571 57/1134 [>.............................] - ETA: 2:53 - loss: 850.0920 - logits_profile_predictions_loss: 279.8311 - logcount_predictions_loss: 53.2954 58/1134 [>.............................] - ETA: 2:53 - loss: 843.1494 - logits_profile_predictions_loss: 279.7692 - logcount_predictions_loss: 52.6523 59/1134 [>.............................] - ETA: 2:52 - loss: 836.4046 - logits_profile_predictions_loss: 279.7143 - logcount_predictions_loss: 52.0271 60/1134 [>.............................] - ETA: 2:52 - loss: 829.8416 - logits_profile_predictions_loss: 279.6599 - logcount_predictions_loss: 51.4188 61/1134 [>.............................] - ETA: 2:51 - loss: 823.4583 - logits_profile_predictions_loss: 279.6105 - logcount_predictions_loss: 50.8269 62/1134 [>.............................] - ETA: 2:51 - loss: 817.2414 - logits_profile_predictions_loss: 279.5604 - logcount_predictions_loss: 50.2506 63/1134 [>.............................] - ETA: 2:50 - loss: 811.1863 - logits_profile_predictions_loss: 279.5120 - logcount_predictions_loss: 49.6892 64/1134 [>.............................] - ETA: 2:50 - loss: 805.2915 - logits_profile_predictions_loss: 279.4693 - logcount_predictions_loss: 49.1423 65/1134 [>.............................] - ETA: 2:49 - loss: 799.5511 - logits_profile_predictions_loss: 279.4322 - logcount_predictions_loss: 48.6092 66/1134 [>.............................] - ETA: 2:49 - loss: 793.9454 - logits_profile_predictions_loss: 279.3890 - logcount_predictions_loss: 48.0894 67/1134 [>.............................] - ETA: 2:49 - loss: 788.4793 - logits_profile_predictions_loss: 279.3484 - logcount_predictions_loss: 47.5823 68/1134 [>.............................] - ETA: 2:48 - loss: 783.1432 - logits_profile_predictions_loss: 279.3065 - logcount_predictions_loss: 47.0875 69/1134 [>.............................] - ETA: 2:48 - loss: 777.9270 - logits_profile_predictions_loss: 279.2593 - logcount_predictions_loss: 46.6045 70/1134 [>.............................] - ETA: 2:47 - loss: 772.8400 - logits_profile_predictions_loss: 279.2181 - logcount_predictions_loss: 46.1329 71/1134 [>.............................] - ETA: 2:47 - loss: 767.8707 - logits_profile_predictions_loss: 279.1772 - logcount_predictions_loss: 45.6723 72/1134 [>.............................] - ETA: 2:46 - loss: 763.0119 - logits_profile_predictions_loss: 279.1338 - logcount_predictions_loss: 45.2222 73/1134 [>.............................] - ETA: 2:46 - loss: 758.2618 - logits_profile_predictions_loss: 279.0902 - logcount_predictions_loss: 44.7824 74/1134 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75/1134 [>.............................] - ETA: 2:28 - loss: 272.4577 - logits_profile_predictions_loss: 268.0392 - logcount_predictions_loss: 0.4129 76/1134 [=>............................] - ETA: 2:28 - loss: 272.4688 - logits_profile_predictions_loss: 268.0511 - logcount_predictions_loss: 0.4129 77/1134 [=>............................] - ETA: 2:27 - loss: 272.4807 - logits_profile_predictions_loss: 268.0638 - logcount_predictions_loss: 0.4128 78/1134 [=>............................] - ETA: 2:27 - loss: 272.4975 - logits_profile_predictions_loss: 268.0812 - logcount_predictions_loss: 0.4127 79/1134 [=>............................] - ETA: 2:27 - loss: 272.5142 - logits_profile_predictions_loss: 268.0985 - logcount_predictions_loss: 0.4127 80/1134 [=>............................] - ETA: 2:27 - loss: 272.5325 - logits_profile_predictions_loss: 268.1173 - logcount_predictions_loss: 0.4126 81/1134 [=>............................] - ETA: 2:27 - loss: 272.5532 - logits_profile_predictions_loss: 268.1386 - logcount_predictions_loss: 0.4126 82/1134 [=>............................] - ETA: 2:27 - loss: 272.5720 - logits_profile_predictions_loss: 268.1579 - logcount_predictions_loss: 0.4125 83/1134 [=>............................] - ETA: 2:27 - loss: 272.5898 - logits_profile_predictions_loss: 268.1761 - logcount_predictions_loss: 0.4125 84/1134 [=>............................] - ETA: 2:27 - loss: 272.6054 - logits_profile_predictions_loss: 268.1922 - logcount_predictions_loss: 0.4125 85/1134 [=>............................] - ETA: 2:26 - loss: 272.6235 - logits_profile_predictions_loss: 268.2104 - logcount_predictions_loss: 0.4124 86/1134 [=>............................] - ETA: 2:26 - loss: 272.6423 - logits_profile_predictions_loss: 268.2290 - logcount_predictions_loss: 0.4125 87/1134 [=>............................] - ETA: 2:26 - loss: 272.6594 - logits_profile_predictions_loss: 268.2459 - logcount_predictions_loss: 0.4125 88/1134 [=>............................] - ETA: 2:26 - loss: 272.6780 - logits_profile_predictions_loss: 268.2644 - logcount_predictions_loss: 0.4125 89/1134 [=>............................] - ETA: 2:26 - loss: 272.6994 - logits_profile_predictions_loss: 268.2857 - logcount_predictions_loss: 0.4125 90/1134 [=>............................] - ETA: 2:26 - loss: 272.7200 - logits_profile_predictions_loss: 268.3062 - logcount_predictions_loss: 0.4125 91/1134 [=>............................] - ETA: 2:26 - loss: 272.7401 - logits_profile_predictions_loss: 268.3261 - logcount_predictions_loss: 0.4125 92/1134 [=>............................] - ETA: 2:26 - loss: 272.7582 - logits_profile_predictions_loss: 268.3442 - logcount_predictions_loss: 0.4125 93/1134 [=>............................] - ETA: 2:25 - loss: 272.7750 - logits_profile_predictions_loss: 268.3610 - logcount_predictions_loss: 0.4125 94/1134 [=>............................] - ETA: 2:25 - loss: 272.7906 - logits_profile_predictions_loss: 268.3766 - logcount_predictions_loss: 0.4125 95/1134 [=>............................] - ETA: 2:25 - loss: 272.8078 - logits_profile_predictions_loss: 268.3939 - logcount_predictions_loss: 0.4125 96/1134 [=>............................] - ETA: 2:25 - loss: 272.8247 - logits_profile_predictions_loss: 268.4107 - logcount_predictions_loss: 0.4125 97/1134 [=>............................] - ETA: 2:25 - loss: 272.8453 - logits_profile_predictions_loss: 268.4313 - logcount_predictions_loss: 0.4125 98/1134 [=>............................] - ETA: 2:25 - loss: 272.8648 - logits_profile_predictions_loss: 268.4509 - logcount_predictions_loss: 0.4125 99/1134 [=>............................] - ETA: 2:25 - loss: 272.8840 - logits_profile_predictions_loss: 268.4701 - logcount_predictions_loss: 0.4125 100/1134 [=>............................] - ETA: 2:24 - loss: 272.9032 - logits_profile_predictions_loss: 268.4894 - logcount_predictions_loss: 0.4125 101/1134 [=>............................] - ETA: 2:24 - loss: 272.9230 - logits_profile_predictions_loss: 268.5091 - logcount_predictions_loss: 0.4125 102/1134 [=>............................] - ETA: 2:24 - loss: 272.9432 - logits_profile_predictions_loss: 268.5292 - logcount_predictions_loss: 0.4125 103/1134 [=>............................] - ETA: 2:24 - loss: 272.9611 - logits_profile_predictions_loss: 268.5472 - logcount_predictions_loss: 0.4125 104/1134 [=>............................] - ETA: 2:24 - loss: 272.9806 - logits_profile_predictions_loss: 268.5666 - logcount_predictions_loss: 0.4125 105/1134 [=>............................] - ETA: 2:24 - loss: 273.0005 - logits_profile_predictions_loss: 268.5865 - logcount_predictions_loss: 0.4125 106/1134 [=>............................] - ETA: 2:24 - loss: 273.0203 - logits_profile_predictions_loss: 268.6063 - logcount_predictions_loss: 0.4125 107/1134 [=>............................] - ETA: 2:24 - loss: 273.0403 - logits_profile_predictions_loss: 268.6262 - logcount_predictions_loss: 0.4125 108/1134 [=>............................] - ETA: 2:23 - loss: 273.0602 - logits_profile_predictions_loss: 268.6461 - logcount_predictions_loss: 0.4125 109/1134 [=>............................] - ETA: 2:23 - loss: 273.0809 - logits_profile_predictions_loss: 268.6667 - logcount_predictions_loss: 0.4125 110/1134 [=>............................] - ETA: 2:23 - loss: 273.0994 - logits_profile_predictions_loss: 268.6852 - logcount_predictions_loss: 0.4125 111/1134 [=>............................] - ETA: 2:23 - loss: 273.1174 - logits_profile_predictions_loss: 268.7033 - logcount_predictions_loss: 0.4125 112/1134 [=>............................] - ETA: 2:23 - loss: 273.1343 - logits_profile_predictions_loss: 268.7202 - logcount_predictions_loss: 0.4125 113/1134 [=>............................] - ETA: 2:23 - loss: 273.1497 - logits_profile_predictions_loss: 268.7354 - logcount_predictions_loss: 0.4126 114/1134 [==>...........................] - ETA: 2:23 - loss: 273.1640 - 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[==>...........................] - ETA: 2:22 - loss: 273.2497 - logits_profile_predictions_loss: 268.8355 - logcount_predictions_loss: 0.4125 122/1134 [==>...........................] - ETA: 2:21 - loss: 273.2599 - logits_profile_predictions_loss: 268.8457 - logcount_predictions_loss: 0.4125 123/1134 [==>...........................] - ETA: 2:21 - loss: 273.2674 - logits_profile_predictions_loss: 268.8533 - logcount_predictions_loss: 0.4125 124/1134 [==>...........................] - ETA: 2:21 - loss: 273.2719 - logits_profile_predictions_loss: 268.8579 - logcount_predictions_loss: 0.4125 125/1134 [==>...........................] - ETA: 2:21 - loss: 273.2798 - logits_profile_predictions_loss: 268.8658 - logcount_predictions_loss: 0.4125 126/1134 [==>...........................] - ETA: 2:21 - loss: 273.2884 - logits_profile_predictions_loss: 268.8744 - logcount_predictions_loss: 0.4125 127/1134 [==>...........................] - ETA: 2:21 - loss: 273.2983 - 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[==>...........................] - ETA: 2:20 - loss: 273.3795 - logits_profile_predictions_loss: 268.9661 - logcount_predictions_loss: 0.4125 135/1134 [==>...........................] - ETA: 2:20 - loss: 273.3904 - logits_profile_predictions_loss: 268.9771 - logcount_predictions_loss: 0.4125 136/1134 [==>...........................] - ETA: 2:20 - loss: 273.4021 - logits_profile_predictions_loss: 268.9889 - logcount_predictions_loss: 0.4125 137/1134 [==>...........................] - ETA: 2:19 - loss: 273.4129 - logits_profile_predictions_loss: 268.9998 - logcount_predictions_loss: 0.4124 138/1134 [==>...........................] - ETA: 2:19 - loss: 273.4217 - logits_profile_predictions_loss: 269.0088 - logcount_predictions_loss: 0.4124 139/1134 [==>...........................] - ETA: 2:19 - loss: 273.4317 - logits_profile_predictions_loss: 269.0189 - logcount_predictions_loss: 0.4124 140/1134 [==>...........................] - ETA: 2:19 - loss: 273.4412 - 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[==>...........................] - ETA: 2:18 - loss: 273.5069 - logits_profile_predictions_loss: 269.0941 - logcount_predictions_loss: 0.4124 148/1134 [==>...........................] - ETA: 2:18 - loss: 273.5172 - logits_profile_predictions_loss: 269.1042 - logcount_predictions_loss: 0.4124 149/1134 [==>...........................] - ETA: 2:18 - loss: 273.5272 - logits_profile_predictions_loss: 269.1141 - logcount_predictions_loss: 0.4124 150/1134 [==>...........................] - ETA: 2:18 - loss: 273.5374 - logits_profile_predictions_loss: 269.1241 - logcount_predictions_loss: 0.4125 151/1134 [==>...........................] - ETA: 2:18 - loss: 273.5474 - logits_profile_predictions_loss: 269.1341 - logcount_predictions_loss: 0.4125 152/1134 [===>..........................] - ETA: 2:17 - loss: 273.5570 - logits_profile_predictions_loss: 269.1435 - logcount_predictions_loss: 0.4125 153/1134 [===>..........................] - ETA: 2:17 - loss: 273.5653 - 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[===>..........................] - ETA: 2:16 - loss: 273.6144 - logits_profile_predictions_loss: 269.2002 - logcount_predictions_loss: 0.4125 161/1134 [===>..........................] - ETA: 2:16 - loss: 273.6199 - logits_profile_predictions_loss: 269.2057 - logcount_predictions_loss: 0.4125 162/1134 [===>..........................] - ETA: 2:16 - loss: 273.6242 - logits_profile_predictions_loss: 269.2100 - logcount_predictions_loss: 0.4125 163/1134 [===>..........................] - ETA: 2:16 - loss: 273.6281 - logits_profile_predictions_loss: 269.2139 - logcount_predictions_loss: 0.4125 164/1134 [===>..........................] - ETA: 2:16 - loss: 273.6320 - logits_profile_predictions_loss: 269.2177 - logcount_predictions_loss: 0.4126 165/1134 [===>..........................] - ETA: 2:16 - loss: 273.6351 - logits_profile_predictions_loss: 269.2207 - logcount_predictions_loss: 0.4126 166/1134 [===>..........................] - ETA: 2:15 - loss: 273.6383 - logits_profile_predictions_loss: 269.2239 - logcount_predictions_loss: 0.4126 167/1134 [===>..........................] - ETA: 2:15 - loss: 273.6411 - logits_profile_predictions_loss: 269.2266 - logcount_predictions_loss: 0.4126 168/1134 [===>..........................] - ETA: 2:15 - loss: 273.6438 - logits_profile_predictions_loss: 269.2293 - logcount_predictions_loss: 0.4126 169/1134 [===>..........................] - ETA: 2:15 - loss: 273.6464 - logits_profile_predictions_loss: 269.2319 - logcount_predictions_loss: 0.4126 170/1134 [===>..........................] - ETA: 2:15 - loss: 273.6491 - logits_profile_predictions_loss: 269.2344 - logcount_predictions_loss: 0.4126 171/1134 [===>..........................] - ETA: 2:15 - loss: 273.6514 - logits_profile_predictions_loss: 269.2367 - logcount_predictions_loss: 0.4126 172/1134 [===>..........................] - ETA: 2:15 - loss: 273.6534 - logits_profile_predictions_loss: 269.2386 - logcount_predictions_loss: 0.4126 173/1134 [===>..........................] - ETA: 2:14 - loss: 273.6553 - logits_profile_predictions_loss: 269.2405 - logcount_predictions_loss: 0.4126 174/1134 [===>..........................] - ETA: 2:14 - loss: 273.6577 - logits_profile_predictions_loss: 269.2428 - logcount_predictions_loss: 0.4126 175/1134 [===>..........................] - ETA: 2:14 - loss: 273.6596 - logits_profile_predictions_loss: 269.2447 - logcount_predictions_loss: 0.4126 176/1134 [===>..........................] - ETA: 2:14 - loss: 273.6613 - logits_profile_predictions_loss: 269.2463 - logcount_predictions_loss: 0.4126 177/1134 [===>..........................] - ETA: 2:14 - loss: 273.6629 - logits_profile_predictions_loss: 269.2479 - logcount_predictions_loss: 0.4126 178/1134 [===>..........................] - ETA: 2:14 - loss: 273.6641 - logits_profile_predictions_loss: 269.2492 - logcount_predictions_loss: 0.4126 179/1134 [===>..........................] - ETA: 2:14 - loss: 273.6657 - logits_profile_predictions_loss: 269.2507 - logcount_predictions_loss: 0.4126 180/1134 [===>..........................] - ETA: 2:14 - loss: 273.6671 - logits_profile_predictions_loss: 269.2522 - logcount_predictions_loss: 0.4126 181/1134 [===>..........................] - ETA: 2:13 - loss: 273.6686 - logits_profile_predictions_loss: 269.2538 - logcount_predictions_loss: 0.4126 182/1134 [===>..........................] - ETA: 2:13 - loss: 273.6697 - logits_profile_predictions_loss: 269.2551 - logcount_predictions_loss: 0.4126 183/1134 [===>..........................] - ETA: 2:13 - loss: 273.6713 - logits_profile_predictions_loss: 269.2568 - logcount_predictions_loss: 0.4126 184/1134 [===>..........................] - ETA: 2:13 - loss: 273.6731 - logits_profile_predictions_loss: 269.2586 - logcount_predictions_loss: 0.4126 185/1134 [===>..........................] - ETA: 2:13 - loss: 273.6757 - logits_profile_predictions_loss: 269.2613 - logcount_predictions_loss: 0.4126 186/1134 [===>..........................] - ETA: 2:13 - loss: 273.6787 - logits_profile_predictions_loss: 269.2644 - logcount_predictions_loss: 0.4126 187/1134 [===>..........................] - ETA: 2:13 - loss: 273.6816 - logits_profile_predictions_loss: 269.2673 - logcount_predictions_loss: 0.4126 188/1134 [===>..........................] - ETA: 2:12 - loss: 273.6849 - logits_profile_predictions_loss: 269.2707 - logcount_predictions_loss: 0.4125 189/1134 [====>.........................] - ETA: 2:12 - loss: 273.6885 - logits_profile_predictions_loss: 269.2744 - logcount_predictions_loss: 0.4125 190/1134 [====>.........................] - ETA: 2:12 - loss: 273.6917 - logits_profile_predictions_loss: 269.2776 - logcount_predictions_loss: 0.4125 191/1134 [====>.........................] - ETA: 2:12 - loss: 273.6951 - logits_profile_predictions_loss: 269.2810 - logcount_predictions_loss: 0.4125 192/1134 [====>.........................] - ETA: 2:12 - loss: 273.6979 - 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logits_profile_predictions_loss: 268.4741 - logcount_predictions_loss: 0.3637 70/1134 [>.............................] - ETA: 2:29 - loss: 272.3839 - logits_profile_predictions_loss: 268.4891 - logcount_predictions_loss: 0.3640 71/1134 [>.............................] - ETA: 2:29 - loss: 272.3969 - logits_profile_predictions_loss: 268.4994 - logcount_predictions_loss: 0.3642 72/1134 [>.............................] - ETA: 2:29 - loss: 272.4111 - logits_profile_predictions_loss: 268.5110 - logcount_predictions_loss: 0.3645 73/1134 [>.............................] - ETA: 2:29 - loss: 272.4270 - logits_profile_predictions_loss: 268.5244 - logcount_predictions_loss: 0.3647 74/1134 [>.............................] - ETA: 2:29 - loss: 272.4464 - logits_profile_predictions_loss: 268.5412 - logcount_predictions_loss: 0.3650 75/1134 [>.............................] - ETA: 2:29 - loss: 272.4633 - logits_profile_predictions_loss: 268.5557 - logcount_predictions_loss: 0.3652 76/1134 [=>............................] - ETA: 2:29 - loss: 272.4772 - logits_profile_predictions_loss: 268.5675 - logcount_predictions_loss: 0.3654 77/1134 [=>............................] - ETA: 2:29 - loss: 272.4910 - logits_profile_predictions_loss: 268.5791 - logcount_predictions_loss: 0.3656 78/1134 [=>............................] - ETA: 2:28 - loss: 272.5057 - logits_profile_predictions_loss: 268.5916 - logcount_predictions_loss: 0.3658 79/1134 [=>............................] - ETA: 2:28 - loss: 272.5166 - logits_profile_predictions_loss: 268.6004 - logcount_predictions_loss: 0.3660 80/1134 [=>............................] - ETA: 2:28 - loss: 272.5253 - logits_profile_predictions_loss: 268.6070 - logcount_predictions_loss: 0.3662 81/1134 [=>............................] - ETA: 2:28 - loss: 272.5316 - logits_profile_predictions_loss: 268.6112 - logcount_predictions_loss: 0.3664 82/1134 [=>............................] - ETA: 2:28 - loss: 272.5410 - logits_profile_predictions_loss: 268.6186 - logcount_predictions_loss: 0.3666 83/1134 [=>............................] - ETA: 2:28 - loss: 272.5520 - logits_profile_predictions_loss: 268.6280 - logcount_predictions_loss: 0.3667 84/1134 [=>............................] - ETA: 2:28 - loss: 272.5604 - logits_profile_predictions_loss: 268.6346 - logcount_predictions_loss: 0.3669 85/1134 [=>............................] - ETA: 2:27 - loss: 272.5682 - logits_profile_predictions_loss: 268.6408 - logcount_predictions_loss: 0.3670 86/1134 [=>............................] - ETA: 2:27 - loss: 272.5762 - logits_profile_predictions_loss: 268.6473 - logcount_predictions_loss: 0.3672 87/1134 [=>............................] - ETA: 2:27 - loss: 272.5810 - logits_profile_predictions_loss: 268.6506 - logcount_predictions_loss: 0.3673 88/1134 [=>............................] - ETA: 2:27 - loss: 272.5867 - logits_profile_predictions_loss: 268.6547 - logcount_predictions_loss: 0.3675 89/1134 [=>............................] - ETA: 2:27 - loss: 272.5950 - logits_profile_predictions_loss: 268.6615 - logcount_predictions_loss: 0.3676 90/1134 [=>............................] - ETA: 2:27 - loss: 272.6030 - logits_profile_predictions_loss: 268.6680 - logcount_predictions_loss: 0.3678 91/1134 [=>............................] - ETA: 2:27 - loss: 272.6117 - logits_profile_predictions_loss: 268.6753 - logcount_predictions_loss: 0.3679 92/1134 [=>............................] - ETA: 2:26 - loss: 272.6226 - logits_profile_predictions_loss: 268.6849 - logcount_predictions_loss: 0.3680 93/1134 [=>............................] - ETA: 2:26 - loss: 272.6345 - logits_profile_predictions_loss: 268.6955 - logcount_predictions_loss: 0.3681 94/1134 [=>............................] - ETA: 2:26 - loss: 272.6462 - logits_profile_predictions_loss: 268.7057 - logcount_predictions_loss: 0.3683 95/1134 [=>............................] - ETA: 2:26 - loss: 272.6589 - logits_profile_predictions_loss: 268.7170 - logcount_predictions_loss: 0.3684 96/1134 [=>............................] - ETA: 2:26 - loss: 272.6691 - logits_profile_predictions_loss: 268.7259 - logcount_predictions_loss: 0.3685 97/1134 [=>............................] - ETA: 2:26 - loss: 272.6799 - logits_profile_predictions_loss: 268.7355 - logcount_predictions_loss: 0.3686 98/1134 [=>............................] - ETA: 2:26 - loss: 272.6893 - logits_profile_predictions_loss: 268.7439 - logcount_predictions_loss: 0.3687 99/1134 [=>............................] - ETA: 2:25 - loss: 272.6952 - logits_profile_predictions_loss: 268.7486 - logcount_predictions_loss: 0.3688 100/1134 [=>............................] - ETA: 2:25 - loss: 272.7009 - logits_profile_predictions_loss: 268.7532 - logcount_predictions_loss: 0.3689 101/1134 [=>............................] - ETA: 2:25 - loss: 272.7061 - logits_profile_predictions_loss: 268.7573 - logcount_predictions_loss: 0.3690 102/1134 [=>............................] - ETA: 2:25 - loss: 272.7094 - logits_profile_predictions_loss: 268.7597 - logcount_predictions_loss: 0.3691 103/1134 [=>............................] - ETA: 2:25 - loss: 272.7148 - logits_profile_predictions_loss: 268.7640 - logcount_predictions_loss: 0.3692 104/1134 [=>............................] - ETA: 2:25 - loss: 272.7160 - logits_profile_predictions_loss: 268.7644 - logcount_predictions_loss: 0.3693 105/1134 [=>............................] - ETA: 2:25 - loss: 272.7177 - logits_profile_predictions_loss: 268.7652 - logcount_predictions_loss: 0.3694 106/1134 [=>............................] - ETA: 2:24 - loss: 272.7191 - logits_profile_predictions_loss: 268.7659 - logcount_predictions_loss: 0.3695 107/1134 [=>............................] - ETA: 2:24 - loss: 272.7190 - logits_profile_predictions_loss: 268.7650 - logcount_predictions_loss: 0.3695 108/1134 [=>............................] - ETA: 2:24 - loss: 272.7182 - logits_profile_predictions_loss: 268.7634 - logcount_predictions_loss: 0.3696 109/1134 [=>............................] - ETA: 2:24 - loss: 272.7170 - logits_profile_predictions_loss: 268.7614 - logcount_predictions_loss: 0.3697 110/1134 [=>............................] - ETA: 2:24 - loss: 272.7163 - logits_profile_predictions_loss: 268.7600 - logcount_predictions_loss: 0.3698 111/1134 [=>............................] - ETA: 2:24 - loss: 272.7165 - logits_profile_predictions_loss: 268.7595 - logcount_predictions_loss: 0.3698 112/1134 [=>............................] - ETA: 2:24 - loss: 272.7177 - logits_profile_predictions_loss: 268.7601 - logcount_predictions_loss: 0.3699 113/1134 [=>............................] - ETA: 2:23 - loss: 272.7199 - logits_profile_predictions_loss: 268.7618 - logcount_predictions_loss: 0.3699 114/1134 [==>...........................] - ETA: 2:23 - loss: 272.7223 - logits_profile_predictions_loss: 268.7635 - logcount_predictions_loss: 0.3700 115/1134 [==>...........................] - ETA: 2:23 - loss: 272.7245 - logits_profile_predictions_loss: 268.7651 - logcount_predictions_loss: 0.3700 116/1134 [==>...........................] - ETA: 2:23 - loss: 272.7275 - logits_profile_predictions_loss: 268.7675 - logcount_predictions_loss: 0.3701 117/1134 [==>...........................] - ETA: 2:23 - loss: 272.7290 - logits_profile_predictions_loss: 268.7682 - logcount_predictions_loss: 0.3702 118/1134 [==>...........................] - ETA: 2:23 - loss: 272.7294 - logits_profile_predictions_loss: 268.7679 - logcount_predictions_loss: 0.3702 119/1134 [==>...........................] - ETA: 2:23 - loss: 272.7278 - logits_profile_predictions_loss: 268.7657 - logcount_predictions_loss: 0.3703 120/1134 [==>...........................] - ETA: 2:22 - loss: 272.7268 - logits_profile_predictions_loss: 268.7640 - logcount_predictions_loss: 0.3704 121/1134 [==>...........................] - ETA: 2:22 - loss: 272.7256 - logits_profile_predictions_loss: 268.7621 - logcount_predictions_loss: 0.3704 122/1134 [==>...........................] - ETA: 2:22 - loss: 272.7242 - logits_profile_predictions_loss: 268.7602 - logcount_predictions_loss: 0.3705 123/1134 [==>...........................] - ETA: 2:22 - loss: 272.7236 - logits_profile_predictions_loss: 268.7590 - logcount_predictions_loss: 0.3705 124/1134 [==>...........................] - ETA: 2:22 - loss: 272.7221 - logits_profile_predictions_loss: 268.7570 - logcount_predictions_loss: 0.3706 125/1134 [==>...........................] - ETA: 2:22 - loss: 272.7186 - logits_profile_predictions_loss: 268.7529 - logcount_predictions_loss: 0.3706 126/1134 [==>...........................] - ETA: 2:22 - loss: 272.7158 - logits_profile_predictions_loss: 268.7496 - logcount_predictions_loss: 0.3707 127/1134 [==>...........................] - ETA: 2:21 - loss: 272.7140 - logits_profile_predictions_loss: 268.7472 - logcount_predictions_loss: 0.3707 128/1134 [==>...........................] - ETA: 2:21 - loss: 272.7117 - logits_profile_predictions_loss: 268.7444 - logcount_predictions_loss: 0.3708 129/1134 [==>...........................] - ETA: 2:21 - loss: 272.7118 - logits_profile_predictions_loss: 268.7440 - logcount_predictions_loss: 0.3708 130/1134 [==>...........................] - ETA: 2:21 - loss: 272.7131 - logits_profile_predictions_loss: 268.7448 - logcount_predictions_loss: 0.3709 131/1134 [==>...........................] - ETA: 2:21 - loss: 272.7143 - logits_profile_predictions_loss: 268.7456 - logcount_predictions_loss: 0.3709 132/1134 [==>...........................] - ETA: 2:21 - loss: 272.7162 - logits_profile_predictions_loss: 268.7469 - logcount_predictions_loss: 0.3710 133/1134 [==>...........................] - ETA: 2:21 - loss: 272.7184 - logits_profile_predictions_loss: 268.7488 - logcount_predictions_loss: 0.3710 134/1134 [==>...........................] - ETA: 2:20 - loss: 272.7206 - logits_profile_predictions_loss: 268.7505 - logcount_predictions_loss: 0.3710 135/1134 [==>...........................] - ETA: 2:20 - loss: 272.7234 - logits_profile_predictions_loss: 268.7529 - logcount_predictions_loss: 0.3711 136/1134 [==>...........................] - ETA: 2:20 - loss: 272.7253 - logits_profile_predictions_loss: 268.7543 - logcount_predictions_loss: 0.3711 137/1134 [==>...........................] - ETA: 2:20 - loss: 272.7264 - logits_profile_predictions_loss: 268.7550 - logcount_predictions_loss: 0.3712 138/1134 [==>...........................] - ETA: 2:20 - loss: 272.7265 - logits_profile_predictions_loss: 268.7546 - logcount_predictions_loss: 0.3712 139/1134 [==>...........................] - ETA: 2:20 - loss: 272.7270 - logits_profile_predictions_loss: 268.7546 - logcount_predictions_loss: 0.3712 140/1134 [==>...........................] - ETA: 2:20 - loss: 272.7277 - logits_profile_predictions_loss: 268.7548 - logcount_predictions_loss: 0.3713 141/1134 [==>...........................] - ETA: 2:19 - loss: 272.7295 - logits_profile_predictions_loss: 268.7562 - logcount_predictions_loss: 0.3713 142/1134 [==>...........................] - ETA: 2:19 - loss: 272.7323 - logits_profile_predictions_loss: 268.7585 - logcount_predictions_loss: 0.3714 143/1134 [==>...........................] - ETA: 2:19 - loss: 272.7356 - logits_profile_predictions_loss: 268.7613 - logcount_predictions_loss: 0.3714 144/1134 [==>...........................] - ETA: 2:19 - loss: 272.7393 - logits_profile_predictions_loss: 268.7646 - logcount_predictions_loss: 0.3715 145/1134 [==>...........................] - ETA: 2:19 - loss: 272.7435 - logits_profile_predictions_loss: 268.7684 - logcount_predictions_loss: 0.3715 146/1134 [==>...........................] - ETA: 2:19 - loss: 272.7471 - logits_profile_predictions_loss: 268.7715 - logcount_predictions_loss: 0.3715 147/1134 [==>...........................] - ETA: 2:19 - loss: 272.7516 - logits_profile_predictions_loss: 268.7756 - logcount_predictions_loss: 0.3716 148/1134 [==>...........................] - ETA: 2:18 - loss: 272.7555 - logits_profile_predictions_loss: 268.7792 - logcount_predictions_loss: 0.3716 149/1134 [==>...........................] - ETA: 2:18 - loss: 272.7602 - logits_profile_predictions_loss: 268.7835 - logcount_predictions_loss: 0.3717 150/1134 [==>...........................] - ETA: 2:18 - loss: 272.7646 - logits_profile_predictions_loss: 268.7875 - logcount_predictions_loss: 0.3717 151/1134 [==>...........................] - ETA: 2:18 - loss: 272.7687 - logits_profile_predictions_loss: 268.7913 - logcount_predictions_loss: 0.3717 152/1134 [===>..........................] - ETA: 2:18 - loss: 272.7722 - logits_profile_predictions_loss: 268.7943 - logcount_predictions_loss: 0.3718 153/1134 [===>..........................] - ETA: 2:18 - loss: 272.7761 - logits_profile_predictions_loss: 268.7978 - logcount_predictions_loss: 0.3718 154/1134 [===>..........................] - ETA: 2:18 - loss: 272.7798 - logits_profile_predictions_loss: 268.8012 - logcount_predictions_loss: 0.3718 155/1134 [===>..........................] - ETA: 2:17 - loss: 272.7847 - logits_profile_predictions_loss: 268.8058 - logcount_predictions_loss: 0.3719 156/1134 [===>..........................] - ETA: 2:17 - loss: 272.7894 - logits_profile_predictions_loss: 268.8100 - logcount_predictions_loss: 0.3719 157/1134 [===>..........................] - ETA: 2:17 - loss: 272.7939 - logits_profile_predictions_loss: 268.8141 - logcount_predictions_loss: 0.3719 158/1134 [===>..........................] - ETA: 2:17 - loss: 272.7981 - logits_profile_predictions_loss: 268.8180 - logcount_predictions_loss: 0.3720 159/1134 [===>..........................] - ETA: 2:17 - loss: 272.8022 - logits_profile_predictions_loss: 268.8217 - logcount_predictions_loss: 0.3720 160/1134 [===>..........................] - ETA: 2:17 - loss: 272.8051 - logits_profile_predictions_loss: 268.8243 - logcount_predictions_loss: 0.3720 161/1134 [===>..........................] - ETA: 2:17 - loss: 272.8080 - logits_profile_predictions_loss: 268.8268 - logcount_predictions_loss: 0.3721 162/1134 [===>..........................] - ETA: 2:16 - loss: 272.8108 - logits_profile_predictions_loss: 268.8292 - logcount_predictions_loss: 0.3721 163/1134 [===>..........................] - ETA: 2:16 - loss: 272.8143 - logits_profile_predictions_loss: 268.8323 - logcount_predictions_loss: 0.3721 164/1134 [===>..........................] - ETA: 2:16 - loss: 272.8170 - logits_profile_predictions_loss: 268.8345 - logcount_predictions_loss: 0.3722 165/1134 [===>..........................] - ETA: 2:16 - loss: 272.8198 - logits_profile_predictions_loss: 268.8370 - logcount_predictions_loss: 0.3722 166/1134 [===>..........................] - ETA: 2:16 - loss: 272.8213 - logits_profile_predictions_loss: 268.8381 - logcount_predictions_loss: 0.3723 167/1134 [===>..........................] - ETA: 2:16 - loss: 272.8228 - logits_profile_predictions_loss: 268.8392 - logcount_predictions_loss: 0.3723 168/1134 [===>..........................] - ETA: 2:16 - loss: 272.8249 - logits_profile_predictions_loss: 268.8409 - logcount_predictions_loss: 0.3723 169/1134 [===>..........................] - ETA: 2:15 - loss: 272.8277 - logits_profile_predictions_loss: 268.8433 - logcount_predictions_loss: 0.3724 170/1134 [===>..........................] - ETA: 2:15 - loss: 272.8293 - logits_profile_predictions_loss: 268.8444 - logcount_predictions_loss: 0.3724 171/1134 [===>..........................] - ETA: 2:15 - loss: 272.8306 - logits_profile_predictions_loss: 268.8453 - logcount_predictions_loss: 0.3725 172/1134 [===>..........................] - ETA: 2:15 - loss: 272.8321 - logits_profile_predictions_loss: 268.8463 - logcount_predictions_loss: 0.3725 173/1134 [===>..........................] - ETA: 2:15 - loss: 272.8341 - logits_profile_predictions_loss: 268.8478 - logcount_predictions_loss: 0.3725 174/1134 [===>..........................] - ETA: 2:15 - loss: 272.8358 - logits_profile_predictions_loss: 268.8491 - logcount_predictions_loss: 0.3726 175/1134 [===>..........................] - ETA: 2:15 - loss: 272.8374 - logits_profile_predictions_loss: 268.8503 - logcount_predictions_loss: 0.3726 176/1134 [===>..........................] - ETA: 2:14 - loss: 272.8379 - logits_profile_predictions_loss: 268.8505 - logcount_predictions_loss: 0.3727 177/1134 [===>..........................] - ETA: 2:14 - loss: 272.8390 - logits_profile_predictions_loss: 268.8511 - logcount_predictions_loss: 0.3727 178/1134 [===>..........................] - ETA: 2:14 - loss: 272.8402 - logits_profile_predictions_loss: 268.8520 - logcount_predictions_loss: 0.3727 179/1134 [===>..........................] - ETA: 2:14 - loss: 272.8420 - logits_profile_predictions_loss: 268.8535 - logcount_predictions_loss: 0.3728 180/1134 [===>..........................] - ETA: 2:14 - loss: 272.8438 - logits_profile_predictions_loss: 268.8549 - logcount_predictions_loss: 0.3728 181/1134 [===>..........................] - ETA: 2:14 - loss: 272.8460 - logits_profile_predictions_loss: 268.8568 - logcount_predictions_loss: 0.3728 182/1134 [===>..........................] - ETA: 2:14 - loss: 272.8482 - logits_profile_predictions_loss: 268.8586 - logcount_predictions_loss: 0.3729 183/1134 [===>..........................] - ETA: 2:14 - loss: 272.8508 - logits_profile_predictions_loss: 268.8608 - logcount_predictions_loss: 0.3729 184/1134 [===>..........................] - ETA: 2:13 - loss: 272.8530 - logits_profile_predictions_loss: 268.8627 - logcount_predictions_loss: 0.3729 185/1134 [===>..........................] - ETA: 2:13 - loss: 272.8554 - logits_profile_predictions_loss: 268.8647 - logcount_predictions_loss: 0.3730 186/1134 [===>..........................] - ETA: 2:13 - loss: 272.8574 - logits_profile_predictions_loss: 268.8664 - logcount_predictions_loss: 0.3730 187/1134 [===>..........................] - ETA: 2:13 - loss: 272.8600 - logits_profile_predictions_loss: 268.8686 - logcount_predictions_loss: 0.3730 188/1134 [===>..........................] - ETA: 2:13 - loss: 272.8619 - logits_profile_predictions_loss: 268.8702 - logcount_predictions_loss: 0.3731 189/1134 [====>.........................] - ETA: 2:13 - loss: 272.8643 - logits_profile_predictions_loss: 268.8723 - logcount_predictions_loss: 0.3731 190/1134 [====>.........................] - ETA: 2:13 - loss: 272.8668 - logits_profile_predictions_loss: 268.8745 - logcount_predictions_loss: 0.3731 191/1134 [====>.........................] - ETA: 2:12 - loss: 272.8686 - logits_profile_predictions_loss: 268.8761 - logcount_predictions_loss: 0.3731 192/1134 [====>.........................] - ETA: 2:12 - loss: 272.8706 - logits_profile_predictions_loss: 268.8777 - logcount_predictions_loss: 0.3732 193/1134 [====>.........................] - ETA: 2:12 - loss: 272.8718 - logits_profile_predictions_loss: 268.8786 - logcount_predictions_loss: 0.3732 194/1134 [====>.........................] - ETA: 2:12 - loss: 272.8732 - logits_profile_predictions_loss: 268.8797 - logcount_predictions_loss: 0.3732 195/1134 [====>.........................] - ETA: 2:12 - loss: 272.8746 - logits_profile_predictions_loss: 268.8808 - logcount_predictions_loss: 0.3732 196/1134 [====>.........................] - ETA: 2:12 - loss: 272.8762 - logits_profile_predictions_loss: 268.8821 - logcount_predictions_loss: 0.3733 197/1134 [====>.........................] - ETA: 2:12 - loss: 272.8784 - logits_profile_predictions_loss: 268.8840 - logcount_predictions_loss: 0.3733 198/1134 [====>.........................] - ETA: 2:11 - loss: 272.8795 - logits_profile_predictions_loss: 268.8848 - logcount_predictions_loss: 0.3733 199/1134 [====>.........................] - ETA: 2:11 - loss: 272.8811 - logits_profile_predictions_loss: 268.8862 - logcount_predictions_loss: 0.3734 200/1134 [====>.........................] - ETA: 2:11 - loss: 272.8820 - logits_profile_predictions_loss: 268.8868 - logcount_predictions_loss: 0.3734 201/1134 [====>.........................] - ETA: 2:11 - loss: 272.8823 - logits_profile_predictions_loss: 268.8868 - logcount_predictions_loss: 0.3734 202/1134 [====>.........................] - ETA: 2:11 - loss: 272.8821 - logits_profile_predictions_loss: 268.8864 - logcount_predictions_loss: 0.3734 203/1134 [====>.........................] - ETA: 2:11 - loss: 272.8818 - logits_profile_predictions_loss: 268.8860 - logcount_predictions_loss: 0.3734 204/1134 [====>.........................] - ETA: 2:11 - loss: 272.8810 - logits_profile_predictions_loss: 268.8850 - logcount_predictions_loss: 0.3735 205/1134 [====>.........................] - ETA: 2:10 - loss: 272.8801 - logits_profile_predictions_loss: 268.8839 - logcount_predictions_loss: 0.3735 206/1134 [====>.........................] - ETA: 2:10 - loss: 272.8785 - logits_profile_predictions_loss: 268.8823 - logcount_predictions_loss: 0.3735 207/1134 [====>.........................] - ETA: 2:10 - loss: 272.8778 - logits_profile_predictions_loss: 268.8814 - logcount_predictions_loss: 0.3735 208/1134 [====>.........................] - ETA: 2:10 - loss: 272.8775 - logits_profile_predictions_loss: 268.8810 - logcount_predictions_loss: 0.3735 209/1134 [====>.........................] - ETA: 2:10 - loss: 272.8772 - logits_profile_predictions_loss: 268.8805 - logcount_predictions_loss: 0.3735 210/1134 [====>.........................] - ETA: 2:10 - loss: 272.8769 - logits_profile_predictions_loss: 268.8801 - logcount_predictions_loss: 0.3735 211/1134 [====>.........................] - ETA: 2:10 - loss: 272.8767 - logits_profile_predictions_loss: 268.8799 - logcount_predictions_loss: 0.3735 212/1134 [====>.........................] - ETA: 2:09 - loss: 272.8762 - logits_profile_predictions_loss: 268.8793 - logcount_predictions_loss: 0.3735 213/1134 [====>.........................] - ETA: 2:09 - loss: 272.8754 - logits_profile_predictions_loss: 268.8784 - logcount_predictions_loss: 0.3735 214/1134 [====>.........................] - ETA: 2:09 - loss: 272.8745 - logits_profile_predictions_loss: 268.8775 - logcount_predictions_loss: 0.3736 215/1134 [====>.........................] - ETA: 2:09 - loss: 272.8729 - logits_profile_predictions_loss: 268.8758 - logcount_predictions_loss: 0.3736 216/1134 [====>.........................] - ETA: 2:09 - loss: 272.8715 - logits_profile_predictions_loss: 268.8743 - logcount_predictions_loss: 0.3736 217/1134 [====>.........................] - ETA: 2:09 - loss: 272.8693 - logits_profile_predictions_loss: 268.8722 - logcount_predictions_loss: 0.3736 218/1134 [====>.........................] - ETA: 2:09 - loss: 272.8669 - logits_profile_predictions_loss: 268.8697 - logcount_predictions_loss: 0.3736 219/1134 [====>.........................] - ETA: 2:08 - loss: 272.8640 - logits_profile_predictions_loss: 268.8669 - logcount_predictions_loss: 0.3736 220/1134 [====>.........................] - ETA: 2:08 - loss: 272.8621 - logits_profile_predictions_loss: 268.8649 - logcount_predictions_loss: 0.3736 221/1134 [====>.........................] - ETA: 2:08 - loss: 272.8600 - logits_profile_predictions_loss: 268.8628 - logcount_predictions_loss: 0.3736 222/1134 [====>.........................] - ETA: 2:08 - loss: 272.8579 - logits_profile_predictions_loss: 268.8607 - logcount_predictions_loss: 0.3736 223/1134 [====>.........................] - ETA: 2:08 - loss: 272.8558 - logits_profile_predictions_loss: 268.8585 - logcount_predictions_loss: 0.3736 224/1134 [====>.........................] - ETA: 2:08 - loss: 272.8539 - logits_profile_predictions_loss: 268.8565 - logcount_predictions_loss: 0.3736 225/1134 [====>.........................] - ETA: 2:08 - loss: 272.8525 - logits_profile_predictions_loss: 268.8551 - logcount_predictions_loss: 0.3736 226/1134 [====>.........................] - ETA: 2:07 - loss: 272.8515 - logits_profile_predictions_loss: 268.8541 - logcount_predictions_loss: 0.3736 227/1134 [=====>........................] - ETA: 2:07 - loss: 272.8511 - logits_profile_predictions_loss: 268.8537 - logcount_predictions_loss: 0.3736 228/1134 [=====>........................] - ETA: 2:07 - loss: 272.8509 - logits_profile_predictions_loss: 268.8535 - logcount_predictions_loss: 0.3736 229/1134 [=====>........................] - ETA: 2:07 - loss: 272.8507 - logits_profile_predictions_loss: 268.8533 - logcount_predictions_loss: 0.3736 230/1134 [=====>........................] - ETA: 2:07 - loss: 272.8504 - logits_profile_predictions_loss: 268.8530 - logcount_predictions_loss: 0.3736 231/1134 [=====>........................] - ETA: 2:07 - loss: 272.8499 - logits_profile_predictions_loss: 268.8524 - logcount_predictions_loss: 0.3736 232/1134 [=====>........................] - ETA: 2:07 - loss: 272.8494 - logits_profile_predictions_loss: 268.8519 - logcount_predictions_loss: 0.3736 233/1134 [=====>........................] - ETA: 2:06 - loss: 272.8487 - logits_profile_predictions_loss: 268.8513 - logcount_predictions_loss: 0.3736 234/1134 [=====>........................] - ETA: 2:06 - loss: 272.8479 - logits_profile_predictions_loss: 268.8506 - logcount_predictions_loss: 0.3736 235/1134 [=====>........................] - ETA: 2:06 - loss: 272.8467 - logits_profile_predictions_loss: 268.8494 - logcount_predictions_loss: 0.3736 236/1134 [=====>........................] - ETA: 2:06 - loss: 272.8452 - logits_profile_predictions_loss: 268.8479 - logcount_predictions_loss: 0.3736 237/1134 [=====>........................] - ETA: 2:06 - loss: 272.8437 - logits_profile_predictions_loss: 268.8464 - logcount_predictions_loss: 0.3736 238/1134 [=====>........................] - ETA: 2:06 - loss: 272.8425 - logits_profile_predictions_loss: 268.8451 - logcount_predictions_loss: 0.3736 239/1134 [=====>........................] - ETA: 2:06 - loss: 272.8411 - logits_profile_predictions_loss: 268.8438 - logcount_predictions_loss: 0.3736 240/1134 [=====>........................] - ETA: 2:05 - loss: 272.8394 - logits_profile_predictions_loss: 268.8421 - logcount_predictions_loss: 0.3736 241/1134 [=====>........................] - ETA: 2:05 - loss: 272.8375 - logits_profile_predictions_loss: 268.8402 - logcount_predictions_loss: 0.3736 242/1134 [=====>........................] - ETA: 2:05 - loss: 272.8356 - logits_profile_predictions_loss: 268.8382 - logcount_predictions_loss: 0.3736 243/1134 [=====>........................] - ETA: 2:05 - loss: 272.8336 - logits_profile_predictions_loss: 268.8363 - logcount_predictions_loss: 0.3736 244/1134 [=====>........................] - ETA: 2:05 - loss: 272.8317 - logits_profile_predictions_loss: 268.8343 - logcount_predictions_loss: 0.3736 245/1134 [=====>........................] - ETA: 2:05 - loss: 272.8302 - logits_profile_predictions_loss: 268.8328 - logcount_predictions_loss: 0.3736 246/1134 [=====>........................] - ETA: 2:05 - loss: 272.8289 - logits_profile_predictions_loss: 268.8314 - logcount_predictions_loss: 0.3736 247/1134 [=====>........................] - ETA: 2:04 - loss: 272.8275 - logits_profile_predictions_loss: 268.8299 - logcount_predictions_loss: 0.3736 248/1134 [=====>........................] - ETA: 2:04 - loss: 272.8258 - logits_profile_predictions_loss: 268.8283 - logcount_predictions_loss: 0.3736 249/1134 [=====>........................] - ETA: 2:04 - loss: 272.8248 - logits_profile_predictions_loss: 268.8271 - logcount_predictions_loss: 0.3736 250/1134 [=====>........................] - ETA: 2:04 - loss: 272.8239 - logits_profile_predictions_loss: 268.8261 - logcount_predictions_loss: 0.3736 251/1134 [=====>........................] - ETA: 2:04 - loss: 272.8227 - logits_profile_predictions_loss: 268.8248 - logcount_predictions_loss: 0.3736 252/1134 [=====>........................] - ETA: 2:04 - loss: 272.8216 - logits_profile_predictions_loss: 268.8236 - logcount_predictions_loss: 0.3736 253/1134 [=====>........................] - ETA: 2:04 - loss: 272.8206 - logits_profile_predictions_loss: 268.8225 - logcount_predictions_loss: 0.3736 254/1134 [=====>........................] - ETA: 2:04 - loss: 272.8201 - logits_profile_predictions_loss: 268.8219 - logcount_predictions_loss: 0.3737 255/1134 [=====>........................] - ETA: 2:03 - loss: 272.8195 - logits_profile_predictions_loss: 268.8212 - logcount_predictions_loss: 0.3737 256/1134 [=====>........................] - ETA: 2:03 - loss: 272.8187 - logits_profile_predictions_loss: 268.8203 - logcount_predictions_loss: 0.3737 257/1134 [=====>........................] - ETA: 2:03 - loss: 272.8179 - logits_profile_predictions_loss: 268.8194 - logcount_predictions_loss: 0.3737 258/1134 [=====>........................] - ETA: 2:03 - loss: 272.8173 - logits_profile_predictions_loss: 268.8187 - logcount_predictions_loss: 0.3737 259/1134 [=====>........................] - ETA: 2:03 - loss: 272.8168 - logits_profile_predictions_loss: 268.8181 - logcount_predictions_loss: 0.3737 260/1134 [=====>........................] - ETA: 2:03 - loss: 272.8163 - logits_profile_predictions_loss: 268.8175 - logcount_predictions_loss: 0.3737 261/1134 [=====>........................] - ETA: 2:03 - loss: 272.8157 - logits_profile_predictions_loss: 268.8167 - logcount_predictions_loss: 0.3737 262/1134 [=====>........................] - ETA: 2:02 - loss: 272.8151 - logits_profile_predictions_loss: 268.8161 - logcount_predictions_loss: 0.3737 263/1134 [=====>........................] - ETA: 2:02 - loss: 272.8148 - logits_profile_predictions_loss: 268.8156 - logcount_predictions_loss: 0.3737 264/1134 [=====>........................] - ETA: 2:02 - loss: 272.8139 - logits_profile_predictions_loss: 268.8147 - logcount_predictions_loss: 0.3738 265/1134 [======>.......................] - ETA: 2:02 - loss: 272.8133 - logits_profile_predictions_loss: 268.8140 - logcount_predictions_loss: 0.3738 266/1134 [======>.......................] - ETA: 2:02 - loss: 272.8127 - logits_profile_predictions_loss: 268.8132 - logcount_predictions_loss: 0.3738 267/1134 [======>.......................] - ETA: 2:02 - loss: 272.8119 - logits_profile_predictions_loss: 268.8123 - logcount_predictions_loss: 0.3738 268/1134 [======>.......................] - ETA: 2:02 - loss: 272.8111 - logits_profile_predictions_loss: 268.8113 - logcount_predictions_loss: 0.3738 269/1134 [======>.......................] - ETA: 2:01 - loss: 272.8098 - logits_profile_predictions_loss: 268.8099 - logcount_predictions_loss: 0.3738 270/1134 [======>.......................] - ETA: 2:01 - loss: 272.8087 - logits_profile_predictions_loss: 268.8086 - logcount_predictions_loss: 0.3738 271/1134 [======>.......................] - ETA: 2:01 - loss: 272.8080 - logits_profile_predictions_loss: 268.8077 - logcount_predictions_loss: 0.3739 272/1134 [======>.......................] - ETA: 2:01 - loss: 272.8074 - logits_profile_predictions_loss: 268.8069 - logcount_predictions_loss: 0.3739 273/1134 [======>.......................] - ETA: 2:01 - loss: 272.8065 - logits_profile_predictions_loss: 268.8059 - logcount_predictions_loss: 0.3739 274/1134 [======>.......................] - ETA: 2:01 - loss: 272.8060 - logits_profile_predictions_loss: 268.8052 - logcount_predictions_loss: 0.3739 275/1134 [======>.......................] - ETA: 2:01 - loss: 272.8054 - logits_profile_predictions_loss: 268.8044 - logcount_predictions_loss: 0.3739 276/1134 [======>.......................] - ETA: 2:00 - loss: 272.8044 - logits_profile_predictions_loss: 268.8033 - logcount_predictions_loss: 0.3739 277/1134 [======>.......................] - ETA: 2:00 - loss: 272.8032 - logits_profile_predictions_loss: 268.8020 - logcount_predictions_loss: 0.3739 278/1134 [======>.......................] - ETA: 2:00 - loss: 272.8018 - logits_profile_predictions_loss: 268.8005 - logcount_predictions_loss: 0.3740 279/1134 [======>.......................] - ETA: 2:00 - loss: 272.8007 - logits_profile_predictions_loss: 268.7992 - logcount_predictions_loss: 0.3740 280/1134 [======>.......................] - ETA: 2:00 - loss: 272.7998 - logits_profile_predictions_loss: 268.7982 - logcount_predictions_loss: 0.3740 281/1134 [======>.......................] - ETA: 2:00 - loss: 272.7988 - logits_profile_predictions_loss: 268.7971 - logcount_predictions_loss: 0.3740 282/1134 [======>.......................] - ETA: 2:00 - loss: 272.7977 - logits_profile_predictions_loss: 268.7958 - logcount_predictions_loss: 0.3740 283/1134 [======>.......................] - ETA: 1:59 - loss: 272.7964 - logits_profile_predictions_loss: 268.7944 - logcount_predictions_loss: 0.3740 284/1134 [======>.......................] - ETA: 1:59 - loss: 272.7951 - 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[======>.......................] - ETA: 1:58 - loss: 272.7813 - logits_profile_predictions_loss: 268.7784 - logcount_predictions_loss: 0.3741 292/1134 [======>.......................] - ETA: 1:58 - loss: 272.7794 - logits_profile_predictions_loss: 268.7765 - logcount_predictions_loss: 0.3741 293/1134 [======>.......................] - ETA: 1:58 - loss: 272.7777 - logits_profile_predictions_loss: 268.7747 - logcount_predictions_loss: 0.3741 294/1134 [======>.......................] - ETA: 1:58 - loss: 272.7755 - logits_profile_predictions_loss: 268.7725 - logcount_predictions_loss: 0.3741 295/1134 [======>.......................] - ETA: 1:58 - loss: 272.7736 - logits_profile_predictions_loss: 268.7705 - logcount_predictions_loss: 0.3741 296/1134 [======>.......................] - ETA: 1:58 - loss: 272.7718 - logits_profile_predictions_loss: 268.7687 - logcount_predictions_loss: 0.3741 297/1134 [======>.......................] - ETA: 1:57 - loss: 272.7702 - 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loss: 268.3108 - logits_profile_predictions_loss: 264.5211 - logcount_predictions_loss: 0.3542 58/1134 [>.............................] - ETA: 2:31 - loss: 268.2977 - logits_profile_predictions_loss: 264.5076 - logcount_predictions_loss: 0.3542 59/1134 [>.............................] - ETA: 2:31 - loss: 268.2861 - logits_profile_predictions_loss: 264.4962 - logcount_predictions_loss: 0.3542 60/1134 [>.............................] - ETA: 2:31 - loss: 268.2755 - logits_profile_predictions_loss: 264.4857 - logcount_predictions_loss: 0.3542 61/1134 [>.............................] - ETA: 2:31 - loss: 268.2627 - logits_profile_predictions_loss: 264.4731 - logcount_predictions_loss: 0.3542 62/1134 [>.............................] - ETA: 2:31 - loss: 268.2406 - logits_profile_predictions_loss: 264.4510 - logcount_predictions_loss: 0.3542 63/1134 [>.............................] - ETA: 2:30 - loss: 268.2211 - logits_profile_predictions_loss: 264.4314 - logcount_predictions_loss: 0.3542 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logits_profile_predictions_loss: 264.3494 - logcount_predictions_loss: 0.3547 71/1134 [>.............................] - ETA: 2:29 - loss: 268.1387 - logits_profile_predictions_loss: 264.3425 - logcount_predictions_loss: 0.3548 72/1134 [>.............................] - ETA: 2:29 - loss: 268.1307 - logits_profile_predictions_loss: 264.3331 - logcount_predictions_loss: 0.3549 73/1134 [>.............................] - ETA: 2:29 - loss: 268.1213 - logits_profile_predictions_loss: 264.3224 - logcount_predictions_loss: 0.3550 74/1134 [>.............................] - ETA: 2:29 - loss: 268.1129 - logits_profile_predictions_loss: 264.3129 - logcount_predictions_loss: 0.3551 75/1134 [>.............................] - ETA: 2:29 - loss: 268.1054 - logits_profile_predictions_loss: 264.3044 - logcount_predictions_loss: 0.3552 76/1134 [=>............................] - ETA: 2:29 - loss: 268.0985 - logits_profile_predictions_loss: 264.2967 - logcount_predictions_loss: 0.3553 77/1134 [=>............................] - ETA: 2:28 - loss: 268.0924 - logits_profile_predictions_loss: 264.2901 - logcount_predictions_loss: 0.3554 78/1134 [=>............................] - ETA: 2:28 - loss: 268.0877 - logits_profile_predictions_loss: 264.2849 - logcount_predictions_loss: 0.3554 79/1134 [=>............................] - ETA: 2:28 - loss: 268.0858 - logits_profile_predictions_loss: 264.2825 - logcount_predictions_loss: 0.3555 80/1134 [=>............................] - ETA: 2:28 - loss: 268.0836 - logits_profile_predictions_loss: 264.2797 - logcount_predictions_loss: 0.3555 81/1134 [=>............................] - ETA: 2:28 - loss: 268.0841 - logits_profile_predictions_loss: 264.2797 - logcount_predictions_loss: 0.3556 82/1134 [=>............................] - ETA: 2:28 - loss: 268.0843 - logits_profile_predictions_loss: 264.2795 - logcount_predictions_loss: 0.3556 83/1134 [=>............................] - ETA: 2:28 - loss: 268.0856 - logits_profile_predictions_loss: 264.2804 - logcount_predictions_loss: 0.3556 84/1134 [=>............................] - ETA: 2:27 - loss: 268.0849 - logits_profile_predictions_loss: 264.2793 - logcount_predictions_loss: 0.3557 85/1134 [=>............................] - ETA: 2:27 - loss: 268.0831 - logits_profile_predictions_loss: 264.2773 - logcount_predictions_loss: 0.3557 86/1134 [=>............................] - ETA: 2:27 - loss: 268.0805 - logits_profile_predictions_loss: 264.2746 - logcount_predictions_loss: 0.3557 87/1134 [=>............................] - ETA: 2:27 - loss: 268.0735 - logits_profile_predictions_loss: 264.2674 - logcount_predictions_loss: 0.3557 88/1134 [=>............................] - ETA: 2:27 - loss: 268.0676 - logits_profile_predictions_loss: 264.2613 - logcount_predictions_loss: 0.3557 89/1134 [=>............................] - ETA: 2:27 - loss: 268.0591 - logits_profile_predictions_loss: 264.2525 - logcount_predictions_loss: 0.3558 90/1134 [=>............................] - ETA: 2:27 - loss: 268.0530 - logits_profile_predictions_loss: 264.2462 - logcount_predictions_loss: 0.3558 91/1134 [=>............................] - ETA: 2:26 - loss: 268.0490 - logits_profile_predictions_loss: 264.2419 - logcount_predictions_loss: 0.3558 92/1134 [=>............................] - ETA: 2:26 - loss: 268.0423 - logits_profile_predictions_loss: 264.2350 - logcount_predictions_loss: 0.3558 93/1134 [=>............................] - ETA: 2:26 - loss: 268.0312 - logits_profile_predictions_loss: 264.2235 - logcount_predictions_loss: 0.3559 94/1134 [=>............................] - ETA: 2:26 - loss: 268.0179 - logits_profile_predictions_loss: 264.2099 - logcount_predictions_loss: 0.3559 95/1134 [=>............................] - ETA: 2:26 - loss: 268.0033 - logits_profile_predictions_loss: 264.1949 - logcount_predictions_loss: 0.3559 96/1134 [=>............................] - ETA: 2:26 - loss: 267.9882 - logits_profile_predictions_loss: 264.1795 - logcount_predictions_loss: 0.3560 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logits_profile_predictions_loss: 264.0787 - logcount_predictions_loss: 0.3564 104/1134 [=>............................] - ETA: 2:25 - loss: 267.8829 - logits_profile_predictions_loss: 264.0690 - logcount_predictions_loss: 0.3564 105/1134 [=>............................] - ETA: 2:24 - loss: 267.8771 - logits_profile_predictions_loss: 264.0623 - logcount_predictions_loss: 0.3565 106/1134 [=>............................] - ETA: 2:24 - loss: 267.8712 - logits_profile_predictions_loss: 264.0557 - logcount_predictions_loss: 0.3566 107/1134 [=>............................] - ETA: 2:24 - loss: 267.8629 - logits_profile_predictions_loss: 264.0466 - logcount_predictions_loss: 0.3567 108/1134 [=>............................] - ETA: 2:24 - loss: 267.8544 - logits_profile_predictions_loss: 264.0375 - logcount_predictions_loss: 0.3567 109/1134 [=>............................] - ETA: 2:24 - loss: 267.8471 - logits_profile_predictions_loss: 264.0297 - logcount_predictions_loss: 0.3568 110/1134 [=>............................] - ETA: 2:24 - loss: 267.8407 - logits_profile_predictions_loss: 264.0226 - logcount_predictions_loss: 0.3568 111/1134 [=>............................] - ETA: 2:24 - loss: 267.8336 - logits_profile_predictions_loss: 264.0149 - logcount_predictions_loss: 0.3569 112/1134 [=>............................] - ETA: 2:23 - loss: 267.8283 - logits_profile_predictions_loss: 264.0091 - logcount_predictions_loss: 0.3569 113/1134 [=>............................] - ETA: 2:23 - loss: 267.8219 - logits_profile_predictions_loss: 264.0023 - logcount_predictions_loss: 0.3570 114/1134 [==>...........................] - ETA: 2:23 - loss: 267.8163 - logits_profile_predictions_loss: 263.9963 - logcount_predictions_loss: 0.3570 115/1134 [==>...........................] - ETA: 2:23 - loss: 267.8133 - logits_profile_predictions_loss: 263.9929 - logcount_predictions_loss: 0.3571 116/1134 [==>...........................] - ETA: 2:23 - loss: 267.8096 - logits_profile_predictions_loss: 263.9888 - logcount_predictions_loss: 0.3571 117/1134 [==>...........................] - ETA: 2:23 - loss: 267.8065 - logits_profile_predictions_loss: 263.9853 - logcount_predictions_loss: 0.3571 118/1134 [==>...........................] - ETA: 2:23 - loss: 267.8033 - logits_profile_predictions_loss: 263.9817 - logcount_predictions_loss: 0.3572 119/1134 [==>...........................] - ETA: 2:22 - loss: 267.8023 - logits_profile_predictions_loss: 263.9805 - logcount_predictions_loss: 0.3572 120/1134 [==>...........................] - ETA: 2:22 - loss: 267.8029 - logits_profile_predictions_loss: 263.9807 - logcount_predictions_loss: 0.3572 121/1134 [==>...........................] - ETA: 2:22 - loss: 267.8021 - logits_profile_predictions_loss: 263.9796 - logcount_predictions_loss: 0.3572 122/1134 [==>...........................] - ETA: 2:22 - loss: 267.8001 - logits_profile_predictions_loss: 263.9775 - logcount_predictions_loss: 0.3573 123/1134 [==>...........................] - ETA: 2:22 - loss: 267.7992 - logits_profile_predictions_loss: 263.9764 - logcount_predictions_loss: 0.3573 124/1134 [==>...........................] - ETA: 2:22 - loss: 267.8000 - logits_profile_predictions_loss: 263.9771 - logcount_predictions_loss: 0.3573 125/1134 [==>...........................] - ETA: 2:22 - loss: 267.7999 - logits_profile_predictions_loss: 263.9769 - logcount_predictions_loss: 0.3573 126/1134 [==>...........................] - ETA: 2:22 - loss: 267.8004 - logits_profile_predictions_loss: 263.9774 - logcount_predictions_loss: 0.3573 127/1134 [==>...........................] - ETA: 2:21 - loss: 267.8009 - logits_profile_predictions_loss: 263.9778 - logcount_predictions_loss: 0.3573 128/1134 [==>...........................] - ETA: 2:21 - loss: 267.8011 - logits_profile_predictions_loss: 263.9780 - logcount_predictions_loss: 0.3573 129/1134 [==>...........................] - ETA: 2:21 - loss: 267.8011 - 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[==>...........................] - ETA: 2:20 - loss: 267.8077 - logits_profile_predictions_loss: 263.9847 - logcount_predictions_loss: 0.3573 137/1134 [==>...........................] - ETA: 2:20 - loss: 267.8083 - logits_profile_predictions_loss: 263.9854 - logcount_predictions_loss: 0.3573 138/1134 [==>...........................] - ETA: 2:20 - loss: 267.8095 - logits_profile_predictions_loss: 263.9867 - logcount_predictions_loss: 0.3573 139/1134 [==>...........................] - ETA: 2:20 - loss: 267.8105 - logits_profile_predictions_loss: 263.9878 - logcount_predictions_loss: 0.3573 140/1134 [==>...........................] - ETA: 2:20 - loss: 267.8110 - logits_profile_predictions_loss: 263.9884 - logcount_predictions_loss: 0.3573 141/1134 [==>...........................] - ETA: 2:19 - loss: 267.8110 - logits_profile_predictions_loss: 263.9886 - logcount_predictions_loss: 0.3572 142/1134 [==>...........................] - ETA: 2:19 - loss: 267.8103 - 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[==>...........................] - ETA: 2:18 - loss: 267.8100 - logits_profile_predictions_loss: 263.9886 - logcount_predictions_loss: 0.3571 150/1134 [==>...........................] - ETA: 2:18 - loss: 267.8105 - logits_profile_predictions_loss: 263.9893 - logcount_predictions_loss: 0.3571 151/1134 [==>...........................] - ETA: 2:18 - loss: 267.8117 - logits_profile_predictions_loss: 263.9907 - logcount_predictions_loss: 0.3571 152/1134 [===>..........................] - ETA: 2:18 - loss: 267.8130 - logits_profile_predictions_loss: 263.9922 - logcount_predictions_loss: 0.3571 153/1134 [===>..........................] - ETA: 2:18 - loss: 267.8132 - logits_profile_predictions_loss: 263.9926 - logcount_predictions_loss: 0.3571 154/1134 [===>..........................] - ETA: 2:18 - loss: 267.8135 - logits_profile_predictions_loss: 263.9932 - logcount_predictions_loss: 0.3570 155/1134 [===>..........................] - ETA: 2:17 - loss: 267.8149 - logits_profile_predictions_loss: 263.9949 - logcount_predictions_loss: 0.3570 156/1134 [===>..........................] - ETA: 2:17 - loss: 267.8171 - logits_profile_predictions_loss: 263.9973 - logcount_predictions_loss: 0.3570 157/1134 [===>..........................] - ETA: 2:17 - loss: 267.8194 - logits_profile_predictions_loss: 263.9999 - logcount_predictions_loss: 0.3570 158/1134 [===>..........................] - ETA: 2:17 - loss: 267.8218 - logits_profile_predictions_loss: 264.0026 - logcount_predictions_loss: 0.3569 159/1134 [===>..........................] - ETA: 2:17 - loss: 267.8244 - logits_profile_predictions_loss: 264.0056 - logcount_predictions_loss: 0.3569 160/1134 [===>..........................] - ETA: 2:17 - loss: 267.8272 - logits_profile_predictions_loss: 264.0086 - logcount_predictions_loss: 0.3569 161/1134 [===>..........................] - ETA: 2:17 - loss: 267.8303 - logits_profile_predictions_loss: 264.0120 - logcount_predictions_loss: 0.3568 162/1134 [===>..........................] - ETA: 2:16 - loss: 267.8332 - logits_profile_predictions_loss: 264.0153 - logcount_predictions_loss: 0.3568 163/1134 [===>..........................] - ETA: 2:16 - loss: 267.8372 - logits_profile_predictions_loss: 264.0195 - logcount_predictions_loss: 0.3568 164/1134 [===>..........................] - ETA: 2:16 - loss: 267.8405 - logits_profile_predictions_loss: 264.0230 - logcount_predictions_loss: 0.3568 165/1134 [===>..........................] - ETA: 2:16 - loss: 267.8430 - logits_profile_predictions_loss: 264.0259 - logcount_predictions_loss: 0.3567 166/1134 [===>..........................] - ETA: 2:16 - loss: 267.8454 - logits_profile_predictions_loss: 264.0286 - logcount_predictions_loss: 0.3567 167/1134 [===>..........................] - ETA: 2:16 - loss: 267.8477 - logits_profile_predictions_loss: 264.0312 - logcount_predictions_loss: 0.3567 168/1134 [===>..........................] - ETA: 2:16 - loss: 267.8501 - logits_profile_predictions_loss: 264.0339 - logcount_predictions_loss: 0.3567 169/1134 [===>..........................] - ETA: 2:15 - loss: 267.8525 - logits_profile_predictions_loss: 264.0365 - logcount_predictions_loss: 0.3566 170/1134 [===>..........................] - ETA: 2:15 - loss: 267.8542 - logits_profile_predictions_loss: 264.0386 - logcount_predictions_loss: 0.3566 171/1134 [===>..........................] - ETA: 2:15 - loss: 267.8555 - logits_profile_predictions_loss: 264.0403 - logcount_predictions_loss: 0.3566 172/1134 [===>..........................] - ETA: 2:15 - loss: 267.8567 - logits_profile_predictions_loss: 264.0419 - logcount_predictions_loss: 0.3565 173/1134 [===>..........................] - ETA: 2:15 - loss: 267.8577 - logits_profile_predictions_loss: 264.0433 - logcount_predictions_loss: 0.3565 174/1134 [===>..........................] - ETA: 2:15 - loss: 267.8585 - logits_profile_predictions_loss: 264.0445 - logcount_predictions_loss: 0.3565 175/1134 [===>..........................] - ETA: 2:15 - loss: 267.8599 - logits_profile_predictions_loss: 264.0462 - logcount_predictions_loss: 0.3564 176/1134 [===>..........................] - ETA: 2:14 - loss: 267.8606 - logits_profile_predictions_loss: 264.0473 - logcount_predictions_loss: 0.3564 177/1134 [===>..........................] - ETA: 2:14 - loss: 267.8609 - logits_profile_predictions_loss: 264.0480 - logcount_predictions_loss: 0.3563 178/1134 [===>..........................] - ETA: 2:14 - loss: 267.8617 - logits_profile_predictions_loss: 264.0493 - logcount_predictions_loss: 0.3563 179/1134 [===>..........................] - ETA: 2:14 - loss: 267.8622 - logits_profile_predictions_loss: 264.0502 - logcount_predictions_loss: 0.3563 180/1134 [===>..........................] - ETA: 2:14 - loss: 267.8622 - logits_profile_predictions_loss: 264.0506 - logcount_predictions_loss: 0.3562 181/1134 [===>..........................] - ETA: 2:14 - loss: 267.8622 - logits_profile_predictions_loss: 264.0510 - logcount_predictions_loss: 0.3562 182/1134 [===>..........................] - ETA: 2:14 - loss: 267.8628 - logits_profile_predictions_loss: 264.0519 - logcount_predictions_loss: 0.3562 183/1134 [===>..........................] - ETA: 2:13 - loss: 267.8638 - logits_profile_predictions_loss: 264.0534 - logcount_predictions_loss: 0.3561 184/1134 [===>..........................] - ETA: 2:13 - loss: 267.8647 - logits_profile_predictions_loss: 264.0547 - logcount_predictions_loss: 0.3561 185/1134 [===>..........................] - ETA: 2:13 - loss: 267.8663 - logits_profile_predictions_loss: 264.0567 - logcount_predictions_loss: 0.3560 186/1134 [===>..........................] - ETA: 2:13 - loss: 267.8686 - logits_profile_predictions_loss: 264.0595 - logcount_predictions_loss: 0.3560 187/1134 [===>..........................] - ETA: 2:13 - loss: 267.8700 - logits_profile_predictions_loss: 264.0614 - logcount_predictions_loss: 0.3560 188/1134 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val_logits_profile_predictions_loss: 278.2763 - val_logcount_predictions_loss: 0.4563 + +Epoch 00004: val_loss did not improve from 282.71384 +Epoch 5/50 + 1/1134 [..............................] - ETA: 3:10 - loss: 255.8322 - logits_profile_predictions_loss: 251.4385 - logcount_predictions_loss: 0.4106 2/1134 [..............................] - ETA: 2:52 - loss: 262.6999 - logits_profile_predictions_loss: 258.4800 - logcount_predictions_loss: 0.3944 3/1134 [..............................] - ETA: 2:45 - loss: 267.9633 - logits_profile_predictions_loss: 263.8209 - logcount_predictions_loss: 0.3871 4/1134 [..............................] - ETA: 2:43 - loss: 269.2253 - logits_profile_predictions_loss: 265.0969 - logcount_predictions_loss: 0.3858 5/1134 [..............................] - ETA: 2:42 - loss: 268.7741 - logits_profile_predictions_loss: 264.6209 - logcount_predictions_loss: 0.3881 6/1134 [..............................] - ETA: 2:41 - loss: 267.6653 - logits_profile_predictions_loss: 263.5147 - logcount_predictions_loss: 0.3879 7/1134 [..............................] - ETA: 2:41 - loss: 266.8589 - logits_profile_predictions_loss: 262.7237 - logcount_predictions_loss: 0.3865 8/1134 [..............................] - ETA: 2:40 - loss: 266.1128 - logits_profile_predictions_loss: 261.9713 - logcount_predictions_loss: 0.3871 9/1134 [..............................] - ETA: 2:40 - loss: 266.0893 - logits_profile_predictions_loss: 261.9162 - logcount_predictions_loss: 0.3900 10/1134 [..............................] - ETA: 2:40 - loss: 266.1585 - logits_profile_predictions_loss: 261.9642 - logcount_predictions_loss: 0.3920 11/1134 [..............................] - ETA: 2:39 - loss: 266.0504 - logits_profile_predictions_loss: 261.8451 - logcount_predictions_loss: 0.3930 12/1134 [..............................] - ETA: 2:39 - loss: 265.9288 - logits_profile_predictions_loss: 261.7063 - logcount_predictions_loss: 0.3946 13/1134 [..............................] - ETA: 2:39 - loss: 265.8616 - logits_profile_predictions_loss: 261.6321 - logcount_predictions_loss: 0.3953 14/1134 [..............................] - ETA: 2:38 - loss: 265.7079 - logits_profile_predictions_loss: 261.4795 - logcount_predictions_loss: 0.3952 15/1134 [..............................] - ETA: 2:38 - loss: 265.5657 - logits_profile_predictions_loss: 261.3428 - logcount_predictions_loss: 0.3947 16/1134 [..............................] - ETA: 2:38 - loss: 265.5662 - logits_profile_predictions_loss: 261.3461 - logcount_predictions_loss: 0.3944 17/1134 [..............................] - ETA: 2:38 - loss: 265.5261 - logits_profile_predictions_loss: 261.3121 - logcount_predictions_loss: 0.3938 18/1134 [..............................] - ETA: 2:38 - loss: 265.5805 - logits_profile_predictions_loss: 261.3719 - logcount_predictions_loss: 0.3933 19/1134 [..............................] - ETA: 2:38 - loss: 265.6797 - logits_profile_predictions_loss: 261.4788 - logcount_predictions_loss: 0.3926 20/1134 [..............................] - ETA: 2:37 - loss: 265.7682 - logits_profile_predictions_loss: 261.5767 - logcount_predictions_loss: 0.3917 21/1134 [..............................] - ETA: 2:37 - loss: 265.7806 - logits_profile_predictions_loss: 261.5958 - logcount_predictions_loss: 0.3911 22/1134 [..............................] - ETA: 2:37 - loss: 265.7914 - logits_profile_predictions_loss: 261.6110 - logcount_predictions_loss: 0.3907 23/1134 [..............................] - ETA: 2:37 - loss: 265.8220 - logits_profile_predictions_loss: 261.6482 - logcount_predictions_loss: 0.3901 24/1134 [..............................] - ETA: 2:37 - loss: 265.7995 - logits_profile_predictions_loss: 261.6330 - logcount_predictions_loss: 0.3894 25/1134 [..............................] - ETA: 2:36 - loss: 265.7741 - logits_profile_predictions_loss: 261.6128 - logcount_predictions_loss: 0.3889 26/1134 [..............................] - ETA: 2:36 - loss: 265.7502 - logits_profile_predictions_loss: 261.5938 - logcount_predictions_loss: 0.3885 27/1134 [..............................] - ETA: 2:36 - loss: 265.7673 - logits_profile_predictions_loss: 261.6160 - logcount_predictions_loss: 0.3880 28/1134 [..............................] - ETA: 2:36 - loss: 265.7894 - logits_profile_predictions_loss: 261.6434 - logcount_predictions_loss: 0.3875 29/1134 [..............................] - ETA: 2:36 - loss: 265.7962 - logits_profile_predictions_loss: 261.6548 - logcount_predictions_loss: 0.3871 30/1134 [..............................] - ETA: 2:36 - loss: 265.8157 - logits_profile_predictions_loss: 261.6800 - logcount_predictions_loss: 0.3865 31/1134 [..............................] - ETA: 2:35 - loss: 265.8297 - logits_profile_predictions_loss: 261.6991 - logcount_predictions_loss: 0.3860 32/1134 [..............................] - ETA: 2:35 - loss: 265.8562 - logits_profile_predictions_loss: 261.7299 - logcount_predictions_loss: 0.3856 33/1134 [..............................] - ETA: 2:35 - loss: 265.8980 - logits_profile_predictions_loss: 261.7760 - logcount_predictions_loss: 0.3852 34/1134 [..............................] - ETA: 2:35 - loss: 265.9351 - logits_profile_predictions_loss: 261.8175 - logcount_predictions_loss: 0.3848 35/1134 [..............................] - ETA: 2:35 - loss: 265.9662 - logits_profile_predictions_loss: 261.8537 - logcount_predictions_loss: 0.3843 36/1134 [..............................] - ETA: 2:35 - loss: 265.9749 - logits_profile_predictions_loss: 261.8680 - logcount_predictions_loss: 0.3838 37/1134 [..............................] - ETA: 2:35 - loss: 265.9861 - logits_profile_predictions_loss: 261.8851 - logcount_predictions_loss: 0.3833 38/1134 [>.............................] - ETA: 2:34 - loss: 265.9978 - logits_profile_predictions_loss: 261.9028 - logcount_predictions_loss: 0.3827 39/1134 [>.............................] - ETA: 2:34 - loss: 266.0088 - logits_profile_predictions_loss: 261.9203 - logcount_predictions_loss: 0.3821 40/1134 [>.............................] - ETA: 2:34 - loss: 266.0207 - logits_profile_predictions_loss: 261.9388 - logcount_predictions_loss: 0.3815 41/1134 [>.............................] - ETA: 2:34 - loss: 266.0174 - logits_profile_predictions_loss: 261.9422 - logcount_predictions_loss: 0.3809 42/1134 [>.............................] - ETA: 2:34 - loss: 266.0119 - logits_profile_predictions_loss: 261.9429 - logcount_predictions_loss: 0.3803 43/1134 [>.............................] - ETA: 2:34 - loss: 266.0039 - logits_profile_predictions_loss: 261.9407 - logcount_predictions_loss: 0.3797 44/1134 [>.............................] - ETA: 2:33 - loss: 265.9802 - logits_profile_predictions_loss: 261.9223 - logcount_predictions_loss: 0.3792 45/1134 [>.............................] - ETA: 2:33 - loss: 265.9725 - logits_profile_predictions_loss: 261.9202 - logcount_predictions_loss: 0.3787 46/1134 [>.............................] - ETA: 2:33 - loss: 265.9727 - logits_profile_predictions_loss: 261.9265 - logcount_predictions_loss: 0.3782 47/1134 [>.............................] - ETA: 2:33 - loss: 265.9798 - logits_profile_predictions_loss: 261.9387 - logcount_predictions_loss: 0.3777 48/1134 [>.............................] - ETA: 2:33 - loss: 265.9880 - logits_profile_predictions_loss: 261.9520 - logcount_predictions_loss: 0.3772 49/1134 [>.............................] - ETA: 2:33 - loss: 265.9951 - logits_profile_predictions_loss: 261.9640 - logcount_predictions_loss: 0.3767 50/1134 [>.............................] - ETA: 2:33 - loss: 266.0025 - logits_profile_predictions_loss: 261.9767 - logcount_predictions_loss: 0.3763 51/1134 [>.............................] - ETA: 2:32 - loss: 266.0150 - logits_profile_predictions_loss: 261.9943 - logcount_predictions_loss: 0.3758 52/1134 [>.............................] - ETA: 2:32 - loss: 266.0316 - logits_profile_predictions_loss: 262.0162 - logcount_predictions_loss: 0.3753 53/1134 [>.............................] - ETA: 2:32 - loss: 266.0439 - logits_profile_predictions_loss: 262.0334 - logcount_predictions_loss: 0.3748 54/1134 [>.............................] - ETA: 2:32 - loss: 266.0529 - logits_profile_predictions_loss: 262.0474 - logcount_predictions_loss: 0.3743 55/1134 [>.............................] - ETA: 2:32 - loss: 266.0693 - logits_profile_predictions_loss: 262.0683 - logcount_predictions_loss: 0.3739 56/1134 [>.............................] - ETA: 2:32 - loss: 266.0853 - logits_profile_predictions_loss: 262.0886 - logcount_predictions_loss: 0.3735 57/1134 [>.............................] - ETA: 2:32 - loss: 266.1004 - logits_profile_predictions_loss: 262.1079 - logcount_predictions_loss: 0.3731 58/1134 [>.............................] - ETA: 2:32 - loss: 266.1083 - logits_profile_predictions_loss: 262.1201 - logcount_predictions_loss: 0.3727 59/1134 [>.............................] - ETA: 2:31 - 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262.2698 - logcount_predictions_loss: 0.3635 86/1134 [=>............................] - ETA: 2:28 - loss: 266.1650 - logits_profile_predictions_loss: 262.2784 - logcount_predictions_loss: 0.3632 87/1134 [=>............................] - ETA: 2:28 - loss: 266.1687 - logits_profile_predictions_loss: 262.2849 - logcount_predictions_loss: 0.3630 88/1134 [=>............................] - ETA: 2:27 - loss: 266.1702 - logits_profile_predictions_loss: 262.2893 - logcount_predictions_loss: 0.3627 89/1134 [=>............................] - ETA: 2:27 - loss: 266.1744 - logits_profile_predictions_loss: 262.2964 - logcount_predictions_loss: 0.3624 90/1134 [=>............................] - ETA: 2:27 - loss: 266.1806 - logits_profile_predictions_loss: 262.3055 - logcount_predictions_loss: 0.3622 91/1134 [=>............................] - ETA: 2:27 - loss: 266.1875 - logits_profile_predictions_loss: 262.3153 - logcount_predictions_loss: 0.3619 92/1134 [=>............................] - ETA: 2:27 - 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[=>............................] - ETA: 2:24 - loss: 266.2477 - logits_profile_predictions_loss: 262.4229 - logcount_predictions_loss: 0.3575 113/1134 [=>............................] - ETA: 2:24 - loss: 266.2462 - logits_profile_predictions_loss: 262.4232 - logcount_predictions_loss: 0.3573 114/1134 [==>...........................] - ETA: 2:24 - loss: 266.2420 - logits_profile_predictions_loss: 262.4208 - logcount_predictions_loss: 0.3571 115/1134 [==>...........................] - ETA: 2:24 - loss: 266.2376 - logits_profile_predictions_loss: 262.4182 - logcount_predictions_loss: 0.3570 116/1134 [==>...........................] - ETA: 2:24 - loss: 266.2310 - logits_profile_predictions_loss: 262.4133 - logcount_predictions_loss: 0.3568 117/1134 [==>...........................] - ETA: 2:23 - loss: 266.2247 - logits_profile_predictions_loss: 262.4087 - logcount_predictions_loss: 0.3566 118/1134 [==>...........................] - ETA: 2:23 - loss: 266.2182 - 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[==>...........................] - ETA: 2:22 - loss: 266.1843 - logits_profile_predictions_loss: 262.3814 - logcount_predictions_loss: 0.3554 126/1134 [==>...........................] - ETA: 2:22 - loss: 266.1813 - logits_profile_predictions_loss: 262.3800 - logcount_predictions_loss: 0.3553 127/1134 [==>...........................] - ETA: 2:22 - loss: 266.1766 - logits_profile_predictions_loss: 262.3768 - logcount_predictions_loss: 0.3551 128/1134 [==>...........................] - ETA: 2:22 - loss: 266.1740 - logits_profile_predictions_loss: 262.3758 - logcount_predictions_loss: 0.3550 129/1134 [==>...........................] - ETA: 2:22 - loss: 266.1726 - logits_profile_predictions_loss: 262.3759 - logcount_predictions_loss: 0.3548 130/1134 [==>...........................] - ETA: 2:22 - loss: 266.1698 - logits_profile_predictions_loss: 262.3747 - logcount_predictions_loss: 0.3547 131/1134 [==>...........................] - ETA: 2:21 - loss: 266.1665 - 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[==>...........................] - ETA: 2:20 - loss: 266.1388 - logits_profile_predictions_loss: 262.3563 - logcount_predictions_loss: 0.3535 139/1134 [==>...........................] - ETA: 2:20 - loss: 266.1337 - logits_profile_predictions_loss: 262.3528 - logcount_predictions_loss: 0.3534 140/1134 [==>...........................] - ETA: 2:20 - loss: 266.1297 - logits_profile_predictions_loss: 262.3505 - logcount_predictions_loss: 0.3532 141/1134 [==>...........................] - ETA: 2:20 - loss: 266.1259 - logits_profile_predictions_loss: 262.3483 - logcount_predictions_loss: 0.3531 142/1134 [==>...........................] - ETA: 2:20 - loss: 266.1232 - logits_profile_predictions_loss: 262.3471 - logcount_predictions_loss: 0.3529 143/1134 [==>...........................] - ETA: 2:20 - loss: 266.1201 - logits_profile_predictions_loss: 262.3454 - logcount_predictions_loss: 0.3528 144/1134 [==>...........................] - ETA: 2:20 - loss: 266.1172 - 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[==>...........................] - ETA: 2:19 - loss: 266.0985 - logits_profile_predictions_loss: 262.3347 - logcount_predictions_loss: 0.3518 152/1134 [===>..........................] - ETA: 2:19 - loss: 266.0955 - logits_profile_predictions_loss: 262.3329 - logcount_predictions_loss: 0.3516 153/1134 [===>..........................] - ETA: 2:18 - loss: 266.0921 - logits_profile_predictions_loss: 262.3308 - logcount_predictions_loss: 0.3515 154/1134 [===>..........................] - ETA: 2:18 - loss: 266.0893 - logits_profile_predictions_loss: 262.3292 - logcount_predictions_loss: 0.3514 155/1134 [===>..........................] - ETA: 2:18 - loss: 266.0865 - logits_profile_predictions_loss: 262.3276 - logcount_predictions_loss: 0.3513 156/1134 [===>..........................] - ETA: 2:18 - loss: 266.0835 - logits_profile_predictions_loss: 262.3258 - logcount_predictions_loss: 0.3512 157/1134 [===>..........................] - ETA: 2:18 - loss: 266.0802 - logits_profile_predictions_loss: 262.3236 - logcount_predictions_loss: 0.3511 158/1134 [===>..........................] - ETA: 2:18 - loss: 266.0780 - logits_profile_predictions_loss: 262.3225 - logcount_predictions_loss: 0.3510 159/1134 [===>..........................] - ETA: 2:18 - loss: 266.0764 - logits_profile_predictions_loss: 262.3220 - logcount_predictions_loss: 0.3509 160/1134 [===>..........................] - ETA: 2:17 - loss: 266.0757 - logits_profile_predictions_loss: 262.3223 - logcount_predictions_loss: 0.3508 161/1134 [===>..........................] - ETA: 2:17 - loss: 266.0759 - logits_profile_predictions_loss: 262.3235 - logcount_predictions_loss: 0.3507 162/1134 [===>..........................] - ETA: 2:17 - loss: 266.0769 - logits_profile_predictions_loss: 262.3254 - logcount_predictions_loss: 0.3506 163/1134 [===>..........................] - ETA: 2:17 - loss: 266.0779 - logits_profile_predictions_loss: 262.3274 - logcount_predictions_loss: 0.3505 164/1134 [===>..........................] - ETA: 2:17 - loss: 266.0795 - logits_profile_predictions_loss: 262.3300 - logcount_predictions_loss: 0.3504 165/1134 [===>..........................] - ETA: 2:17 - loss: 266.0805 - logits_profile_predictions_loss: 262.3320 - logcount_predictions_loss: 0.3503 166/1134 [===>..........................] - ETA: 2:17 - loss: 266.0828 - logits_profile_predictions_loss: 262.3352 - logcount_predictions_loss: 0.3502 167/1134 [===>..........................] - ETA: 2:16 - loss: 266.0859 - logits_profile_predictions_loss: 262.3392 - logcount_predictions_loss: 0.3502 168/1134 [===>..........................] - ETA: 2:16 - loss: 266.0888 - logits_profile_predictions_loss: 262.3429 - logcount_predictions_loss: 0.3501 169/1134 [===>..........................] - ETA: 2:16 - loss: 266.0921 - logits_profile_predictions_loss: 262.3471 - logcount_predictions_loss: 0.3500 170/1134 [===>..........................] - ETA: 2:16 - loss: 266.0948 - logits_profile_predictions_loss: 262.3505 - logcount_predictions_loss: 0.3499 171/1134 [===>..........................] - ETA: 2:16 - loss: 266.0978 - logits_profile_predictions_loss: 262.3544 - logcount_predictions_loss: 0.3499 172/1134 [===>..........................] - ETA: 2:16 - loss: 266.1006 - logits_profile_predictions_loss: 262.3580 - logcount_predictions_loss: 0.3498 173/1134 [===>..........................] - ETA: 2:16 - loss: 266.1047 - logits_profile_predictions_loss: 262.3629 - logcount_predictions_loss: 0.3497 174/1134 [===>..........................] - ETA: 2:15 - loss: 266.1093 - logits_profile_predictions_loss: 262.3684 - logcount_predictions_loss: 0.3496 175/1134 [===>..........................] - ETA: 2:15 - loss: 266.1148 - logits_profile_predictions_loss: 262.3746 - logcount_predictions_loss: 0.3496 176/1134 [===>..........................] - ETA: 2:15 - loss: 266.1205 - logits_profile_predictions_loss: 262.3811 - logcount_predictions_loss: 0.3495 177/1134 [===>..........................] - ETA: 2:15 - loss: 266.1257 - logits_profile_predictions_loss: 262.3871 - logcount_predictions_loss: 0.3494 178/1134 [===>..........................] - ETA: 2:15 - loss: 266.1315 - logits_profile_predictions_loss: 262.3937 - logcount_predictions_loss: 0.3493 179/1134 [===>..........................] - ETA: 2:15 - loss: 266.1378 - logits_profile_predictions_loss: 262.4008 - logcount_predictions_loss: 0.3493 180/1134 [===>..........................] - ETA: 2:15 - loss: 266.1441 - logits_profile_predictions_loss: 262.4079 - logcount_predictions_loss: 0.3492 181/1134 [===>..........................] - ETA: 2:14 - loss: 266.1491 - logits_profile_predictions_loss: 262.4137 - logcount_predictions_loss: 0.3491 182/1134 [===>..........................] - ETA: 2:14 - loss: 266.1537 - logits_profile_predictions_loss: 262.4191 - logcount_predictions_loss: 0.3490 183/1134 [===>..........................] - ETA: 2:14 - loss: 266.1580 - 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[=====>........................] - ETA: 2:06 - loss: 266.7917 - logits_profile_predictions_loss: 263.2795 - logcount_predictions_loss: 0.3282 238/1134 [=====>........................] - ETA: 2:06 - loss: 266.7869 - logits_profile_predictions_loss: 263.2747 - logcount_predictions_loss: 0.3282 239/1134 [=====>........................] - ETA: 2:06 - loss: 266.7821 - logits_profile_predictions_loss: 263.2699 - logcount_predictions_loss: 0.3282 240/1134 [=====>........................] - ETA: 2:05 - loss: 266.7776 - logits_profile_predictions_loss: 263.2654 - logcount_predictions_loss: 0.3282 241/1134 [=====>........................] - ETA: 2:05 - loss: 266.7733 - logits_profile_predictions_loss: 263.2611 - logcount_predictions_loss: 0.3282 242/1134 [=====>........................] - ETA: 2:05 - loss: 266.7685 - logits_profile_predictions_loss: 263.2563 - logcount_predictions_loss: 0.3282 243/1134 [=====>........................] - ETA: 2:05 - loss: 266.7641 - 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[==>...........................] - ETA: 2:19 - loss: 261.9965 - logits_profile_predictions_loss: 258.7501 - logcount_predictions_loss: 0.3034 148/1134 [==>...........................] - ETA: 2:19 - loss: 262.0073 - logits_profile_predictions_loss: 258.7603 - logcount_predictions_loss: 0.3035 149/1134 [==>...........................] - ETA: 2:19 - loss: 262.0206 - logits_profile_predictions_loss: 258.7729 - logcount_predictions_loss: 0.3035 150/1134 [==>...........................] - ETA: 2:19 - loss: 262.0329 - logits_profile_predictions_loss: 258.7845 - logcount_predictions_loss: 0.3036 151/1134 [==>...........................] - ETA: 2:19 - loss: 262.0447 - logits_profile_predictions_loss: 258.7958 - logcount_predictions_loss: 0.3036 152/1134 [===>..........................] - ETA: 2:18 - loss: 262.0575 - logits_profile_predictions_loss: 258.8079 - logcount_predictions_loss: 0.3037 153/1134 [===>..........................] - ETA: 2:18 - loss: 262.0685 - 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[==>...........................] - ETA: 2:19 - loss: 263.5565 - logits_profile_predictions_loss: 260.2594 - logcount_predictions_loss: 0.3081 152/1134 [===>..........................] - ETA: 2:19 - loss: 263.5572 - logits_profile_predictions_loss: 260.2606 - logcount_predictions_loss: 0.3081 153/1134 [===>..........................] - ETA: 2:18 - loss: 263.5576 - logits_profile_predictions_loss: 260.2614 - logcount_predictions_loss: 0.3081 154/1134 [===>..........................] - ETA: 2:18 - loss: 263.5587 - logits_profile_predictions_loss: 260.2630 - logcount_predictions_loss: 0.3080 155/1134 [===>..........................] - ETA: 2:18 - loss: 263.5596 - logits_profile_predictions_loss: 260.2644 - logcount_predictions_loss: 0.3080 156/1134 [===>..........................] - ETA: 2:18 - loss: 263.5618 - logits_profile_predictions_loss: 260.2671 - logcount_predictions_loss: 0.3079 157/1134 [===>..........................] - ETA: 2:18 - loss: 263.5639 - 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[=====>........................] - ETA: 2:08 - loss: 263.6290 - logits_profile_predictions_loss: 260.3530 - logcount_predictions_loss: 0.3062 230/1134 [=====>........................] - ETA: 2:08 - loss: 263.6283 - logits_profile_predictions_loss: 260.3524 - logcount_predictions_loss: 0.3062 231/1134 [=====>........................] - ETA: 2:07 - loss: 263.6276 - logits_profile_predictions_loss: 260.3518 - logcount_predictions_loss: 0.3061 232/1134 [=====>........................] - ETA: 2:07 - loss: 263.6266 - logits_profile_predictions_loss: 260.3510 - logcount_predictions_loss: 0.3061 233/1134 [=====>........................] - ETA: 2:07 - loss: 263.6260 - logits_profile_predictions_loss: 260.3505 - logcount_predictions_loss: 0.3061 234/1134 [=====>........................] - ETA: 2:07 - loss: 263.6259 - logits_profile_predictions_loss: 260.3504 - logcount_predictions_loss: 0.3061 235/1134 [=====>........................] - ETA: 2:07 - loss: 263.6257 - 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[=====>........................] - ETA: 2:06 - loss: 263.6221 - logits_profile_predictions_loss: 260.3473 - logcount_predictions_loss: 0.3061 243/1134 [=====>........................] - ETA: 2:06 - loss: 263.6213 - logits_profile_predictions_loss: 260.3466 - logcount_predictions_loss: 0.3060 244/1134 [=====>........................] - ETA: 2:06 - loss: 263.6206 - logits_profile_predictions_loss: 260.3459 - logcount_predictions_loss: 0.3060 245/1134 [=====>........................] - ETA: 2:05 - loss: 263.6199 - logits_profile_predictions_loss: 260.3452 - logcount_predictions_loss: 0.3060 246/1134 [=====>........................] - ETA: 2:05 - loss: 263.6190 - logits_profile_predictions_loss: 260.3444 - logcount_predictions_loss: 0.3060 247/1134 [=====>........................] - ETA: 2:05 - loss: 263.6182 - logits_profile_predictions_loss: 260.3437 - logcount_predictions_loss: 0.3060 248/1134 [=====>........................] - ETA: 2:05 - loss: 263.6174 - 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[=====>........................] - ETA: 2:04 - loss: 263.6086 - logits_profile_predictions_loss: 260.3343 - logcount_predictions_loss: 0.3060 256/1134 [=====>........................] - ETA: 2:04 - loss: 263.6068 - logits_profile_predictions_loss: 260.3325 - logcount_predictions_loss: 0.3060 257/1134 [=====>........................] - ETA: 2:04 - loss: 263.6054 - logits_profile_predictions_loss: 260.3311 - logcount_predictions_loss: 0.3060 258/1134 [=====>........................] - ETA: 2:04 - loss: 263.6038 - logits_profile_predictions_loss: 260.3296 - logcount_predictions_loss: 0.3060 259/1134 [=====>........................] - ETA: 2:03 - loss: 263.6030 - logits_profile_predictions_loss: 260.3288 - logcount_predictions_loss: 0.3060 260/1134 [=====>........................] - ETA: 2:03 - loss: 263.6022 - logits_profile_predictions_loss: 260.3280 - logcount_predictions_loss: 0.3060 261/1134 [=====>........................] - ETA: 2:03 - loss: 263.6012 - 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[===>..........................] - ETA: 2:15 - loss: 257.4147 - logits_profile_predictions_loss: 254.6428 - logcount_predictions_loss: 0.2590 174/1134 [===>..........................] - ETA: 2:15 - loss: 257.4278 - logits_profile_predictions_loss: 254.6561 - logcount_predictions_loss: 0.2590 175/1134 [===>..........................] - ETA: 2:15 - loss: 257.4412 - logits_profile_predictions_loss: 254.6698 - logcount_predictions_loss: 0.2590 176/1134 [===>..........................] - ETA: 2:15 - loss: 257.4554 - logits_profile_predictions_loss: 254.6841 - logcount_predictions_loss: 0.2590 177/1134 [===>..........................] - ETA: 2:14 - loss: 257.4692 - logits_profile_predictions_loss: 254.6981 - logcount_predictions_loss: 0.2590 178/1134 [===>..........................] - ETA: 2:14 - loss: 257.4822 - logits_profile_predictions_loss: 254.7113 - logcount_predictions_loss: 0.2590 179/1134 [===>..........................] - ETA: 2:14 - loss: 257.4952 - 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[===>..........................] - ETA: 2:13 - loss: 257.5791 - logits_profile_predictions_loss: 254.8090 - logcount_predictions_loss: 0.2589 187/1134 [===>..........................] - ETA: 2:13 - loss: 257.5899 - logits_profile_predictions_loss: 254.8199 - logcount_predictions_loss: 0.2589 188/1134 [===>..........................] - ETA: 2:13 - loss: 257.6001 - logits_profile_predictions_loss: 254.8302 - logcount_predictions_loss: 0.2589 189/1134 [====>.........................] - ETA: 2:13 - loss: 257.6090 - logits_profile_predictions_loss: 254.8393 - logcount_predictions_loss: 0.2589 190/1134 [====>.........................] - ETA: 2:13 - loss: 257.6181 - logits_profile_predictions_loss: 254.8484 - logcount_predictions_loss: 0.2588 191/1134 [====>.........................] - ETA: 2:12 - loss: 257.6267 - logits_profile_predictions_loss: 254.8572 - logcount_predictions_loss: 0.2588 192/1134 [====>.........................] - ETA: 2:12 - loss: 257.6350 - 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[====>.........................] - ETA: 2:08 - loss: 257.8833 - logits_profile_predictions_loss: 255.1193 - logcount_predictions_loss: 0.2583 226/1134 [====>.........................] - ETA: 2:07 - loss: 257.8893 - logits_profile_predictions_loss: 255.1254 - logcount_predictions_loss: 0.2583 227/1134 [=====>........................] - ETA: 2:07 - loss: 257.8955 - logits_profile_predictions_loss: 255.1318 - logcount_predictions_loss: 0.2583 228/1134 [=====>........................] - ETA: 2:07 - loss: 257.9015 - logits_profile_predictions_loss: 255.1379 - logcount_predictions_loss: 0.2583 229/1134 [=====>........................] - ETA: 2:07 - loss: 257.9076 - logits_profile_predictions_loss: 255.1441 - logcount_predictions_loss: 0.2583 230/1134 [=====>........................] - ETA: 2:07 - loss: 257.9138 - logits_profile_predictions_loss: 255.1504 - logcount_predictions_loss: 0.2583 231/1134 [=====>........................] - ETA: 2:07 - loss: 257.9201 - 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[=====>........................] - ETA: 2:06 - loss: 257.9687 - logits_profile_predictions_loss: 255.2060 - logcount_predictions_loss: 0.2582 239/1134 [=====>........................] - ETA: 2:06 - loss: 257.9756 - logits_profile_predictions_loss: 255.2130 - logcount_predictions_loss: 0.2582 240/1134 [=====>........................] - ETA: 2:06 - loss: 257.9827 - logits_profile_predictions_loss: 255.2202 - logcount_predictions_loss: 0.2582 241/1134 [=====>........................] - ETA: 2:05 - loss: 257.9894 - logits_profile_predictions_loss: 255.2271 - logcount_predictions_loss: 0.2582 242/1134 [=====>........................] - ETA: 2:05 - loss: 257.9961 - logits_profile_predictions_loss: 255.2337 - logcount_predictions_loss: 0.2582 243/1134 [=====>........................] - ETA: 2:05 - loss: 258.0031 - logits_profile_predictions_loss: 255.2407 - logcount_predictions_loss: 0.2582 244/1134 [=====>........................] - ETA: 2:05 - loss: 258.0102 - 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[=====>........................] - ETA: 2:04 - loss: 258.0540 - logits_profile_predictions_loss: 255.2922 - logcount_predictions_loss: 0.2581 252/1134 [=====>........................] - ETA: 2:04 - loss: 258.0599 - logits_profile_predictions_loss: 255.2982 - logcount_predictions_loss: 0.2581 253/1134 [=====>........................] - ETA: 2:04 - loss: 258.0656 - logits_profile_predictions_loss: 255.3041 - logcount_predictions_loss: 0.2581 254/1134 [=====>........................] - ETA: 2:04 - loss: 258.0720 - logits_profile_predictions_loss: 255.3106 - logcount_predictions_loss: 0.2581 255/1134 [=====>........................] - ETA: 2:03 - loss: 258.0784 - logits_profile_predictions_loss: 255.3170 - logcount_predictions_loss: 0.2581 256/1134 [=====>........................] - ETA: 2:03 - loss: 258.0847 - logits_profile_predictions_loss: 255.3235 - logcount_predictions_loss: 0.2581 257/1134 [=====>........................] - ETA: 2:03 - loss: 258.0912 - 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[=====>........................] - ETA: 2:02 - loss: 258.1315 - logits_profile_predictions_loss: 255.3716 - logcount_predictions_loss: 0.2579 265/1134 [======>.......................] - ETA: 2:02 - loss: 258.1367 - logits_profile_predictions_loss: 255.3769 - logcount_predictions_loss: 0.2579 266/1134 [======>.......................] - ETA: 2:02 - loss: 258.1420 - logits_profile_predictions_loss: 255.3824 - logcount_predictions_loss: 0.2579 267/1134 [======>.......................] - ETA: 2:02 - loss: 258.1471 - logits_profile_predictions_loss: 255.3877 - logcount_predictions_loss: 0.2579 268/1134 [======>.......................] - ETA: 2:02 - loss: 258.1521 - logits_profile_predictions_loss: 255.3928 - logcount_predictions_loss: 0.2579 269/1134 [======>.......................] - ETA: 2:01 - loss: 258.1567 - logits_profile_predictions_loss: 255.3976 - logcount_predictions_loss: 0.2579 270/1134 [======>.......................] - ETA: 2:01 - loss: 258.1610 - 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[======>.......................] - ETA: 2:00 - loss: 258.1954 - logits_profile_predictions_loss: 255.4377 - logcount_predictions_loss: 0.2577 278/1134 [======>.......................] - ETA: 2:00 - loss: 258.2004 - logits_profile_predictions_loss: 255.4429 - logcount_predictions_loss: 0.2577 279/1134 [======>.......................] - ETA: 2:00 - loss: 258.2057 - logits_profile_predictions_loss: 255.4483 - logcount_predictions_loss: 0.2577 280/1134 [======>.......................] - ETA: 2:00 - loss: 258.2107 - logits_profile_predictions_loss: 255.4535 - logcount_predictions_loss: 0.2577 281/1134 [======>.......................] - ETA: 2:00 - loss: 258.2160 - logits_profile_predictions_loss: 255.4589 - logcount_predictions_loss: 0.2577 282/1134 [======>.......................] - ETA: 2:00 - loss: 258.2213 - logits_profile_predictions_loss: 255.4644 - logcount_predictions_loss: 0.2577 283/1134 [======>.......................] - ETA: 1:59 - loss: 258.2266 - 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[====>.........................] - ETA: 2:09 - loss: 258.7897 - logits_profile_predictions_loss: 256.2829 - logcount_predictions_loss: 0.2343 215/1134 [====>.........................] - ETA: 2:09 - loss: 258.7921 - logits_profile_predictions_loss: 256.2851 - logcount_predictions_loss: 0.2343 216/1134 [====>.........................] - ETA: 2:09 - loss: 258.7949 - logits_profile_predictions_loss: 256.2878 - logcount_predictions_loss: 0.2343 217/1134 [====>.........................] - ETA: 2:08 - loss: 258.7978 - logits_profile_predictions_loss: 256.2905 - logcount_predictions_loss: 0.2343 218/1134 [====>.........................] - ETA: 2:08 - loss: 258.8007 - logits_profile_predictions_loss: 256.2932 - logcount_predictions_loss: 0.2343 219/1134 [====>.........................] - ETA: 2:08 - loss: 258.8040 - logits_profile_predictions_loss: 256.2963 - logcount_predictions_loss: 0.2344 220/1134 [====>.........................] - ETA: 2:08 - loss: 258.8075 - 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[=====>........................] - ETA: 2:05 - loss: 258.8648 - logits_profile_predictions_loss: 256.3541 - logcount_predictions_loss: 0.2346 241/1134 [=====>........................] - ETA: 2:05 - loss: 258.8668 - logits_profile_predictions_loss: 256.3560 - logcount_predictions_loss: 0.2347 242/1134 [=====>........................] - ETA: 2:05 - loss: 258.8688 - logits_profile_predictions_loss: 256.3579 - logcount_predictions_loss: 0.2347 243/1134 [=====>........................] - ETA: 2:05 - loss: 258.8710 - logits_profile_predictions_loss: 256.3600 - logcount_predictions_loss: 0.2347 244/1134 [=====>........................] - ETA: 2:05 - loss: 258.8737 - logits_profile_predictions_loss: 256.3626 - logcount_predictions_loss: 0.2347 245/1134 [=====>........................] - ETA: 2:04 - loss: 258.8768 - logits_profile_predictions_loss: 256.3656 - logcount_predictions_loss: 0.2347 246/1134 [=====>........................] - ETA: 2:04 - loss: 258.8800 - 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[=========================>....] - ETA: 16s - loss: 258.3173 - logits_profile_predictions_loss: 255.8036 - logcount_predictions_loss: 0.2349 1019/1134 [=========================>....] - ETA: 16s - loss: 258.3167 - logits_profile_predictions_loss: 255.8029 - logcount_predictions_loss: 0.2349 1020/1134 [=========================>....] - ETA: 16s - loss: 258.3159 - logits_profile_predictions_loss: 255.8022 - logcount_predictions_loss: 0.2349 1021/1134 [==========================>...] - ETA: 15s - loss: 258.3153 - logits_profile_predictions_loss: 255.8016 - logcount_predictions_loss: 0.2349 1022/1134 [==========================>...] - ETA: 15s - loss: 258.3146 - logits_profile_predictions_loss: 255.8009 - logcount_predictions_loss: 0.2349 1023/1134 [==========================>...] - ETA: 15s - loss: 258.3139 - logits_profile_predictions_loss: 255.8002 - logcount_predictions_loss: 0.2349 1024/1134 [==========================>...] - ETA: 15s - loss: 258.3132 - logits_profile_predictions_loss: 255.7996 - logcount_predictions_loss: 0.2349 1025/1134 [==========================>...] - ETA: 15s - loss: 258.3125 - logits_profile_predictions_loss: 255.7989 - logcount_predictions_loss: 0.2349 1026/1134 [==========================>...] - ETA: 15s - loss: 258.3119 - logits_profile_predictions_loss: 255.7982 - logcount_predictions_loss: 0.2349 1027/1134 [==========================>...] - ETA: 15s - loss: 258.3112 - logits_profile_predictions_loss: 255.7976 - logcount_predictions_loss: 0.2349 1028/1134 [==========================>...] - ETA: 14s - loss: 258.3105 - logits_profile_predictions_loss: 255.7969 - logcount_predictions_loss: 0.2349 1029/1134 [==========================>...] - ETA: 14s - loss: 258.3099 - logits_profile_predictions_loss: 255.7963 - logcount_predictions_loss: 0.2349 1030/1134 [==========================>...] - ETA: 14s - loss: 258.3093 - logits_profile_predictions_loss: 255.7956 - logcount_predictions_loss: 0.2349 1031/1134 [==========================>...] - ETA: 14s - loss: 258.3086 - logits_profile_predictions_loss: 255.7950 - logcount_predictions_loss: 0.2349 1032/1134 [==========================>...] - ETA: 14s - loss: 258.3079 - logits_profile_predictions_loss: 255.7943 - logcount_predictions_loss: 0.2349 1033/1134 [==========================>...] - ETA: 14s - loss: 258.3073 - logits_profile_predictions_loss: 255.7937 - logcount_predictions_loss: 0.2349 1034/1134 [==========================>...] - ETA: 14s - loss: 258.3066 - logits_profile_predictions_loss: 255.7930 - logcount_predictions_loss: 0.2349 1035/1134 [==========================>...] - ETA: 13s - loss: 258.3059 - logits_profile_predictions_loss: 255.7923 - logcount_predictions_loss: 0.2349 1036/1134 [==========================>...] - ETA: 13s - loss: 258.3052 - logits_profile_predictions_loss: 255.7917 - logcount_predictions_loss: 0.2349 1037/1134 [==========================>...] - ETA: 13s - loss: 258.3045 - logits_profile_predictions_loss: 255.7910 - logcount_predictions_loss: 0.2349 1038/1134 [==========================>...] - ETA: 13s - loss: 258.3039 - logits_profile_predictions_loss: 255.7903 - logcount_predictions_loss: 0.2349 1039/1134 [==========================>...] - ETA: 13s - loss: 258.3032 - logits_profile_predictions_loss: 255.7896 - logcount_predictions_loss: 0.2349 1040/1134 [==========================>...] - ETA: 13s - loss: 258.3025 - logits_profile_predictions_loss: 255.7889 - logcount_predictions_loss: 0.2349 1041/1134 [==========================>...] - ETA: 13s - loss: 258.3018 - logits_profile_predictions_loss: 255.7882 - logcount_predictions_loss: 0.2349 1042/1134 [==========================>...] - ETA: 12s - loss: 258.3011 - logits_profile_predictions_loss: 255.7876 - logcount_predictions_loss: 0.2349 1043/1134 [==========================>...] - ETA: 12s - loss: 258.3004 - logits_profile_predictions_loss: 255.7869 - logcount_predictions_loss: 0.2349 1044/1134 [==========================>...] - ETA: 12s - loss: 258.2998 - logits_profile_predictions_loss: 255.7862 - logcount_predictions_loss: 0.2349 1045/1134 [==========================>...] - ETA: 12s - loss: 258.2991 - logits_profile_predictions_loss: 255.7855 - logcount_predictions_loss: 0.2349 1046/1134 [==========================>...] - ETA: 12s - loss: 258.2983 - logits_profile_predictions_loss: 255.7848 - logcount_predictions_loss: 0.2349 1047/1134 [==========================>...] - ETA: 12s - loss: 258.2977 - logits_profile_predictions_loss: 255.7842 - logcount_predictions_loss: 0.2349 1048/1134 [==========================>...] - ETA: 12s - loss: 258.2970 - logits_profile_predictions_loss: 255.7835 - logcount_predictions_loss: 0.2349 1049/1134 [==========================>...] - ETA: 11s - loss: 258.2963 - logits_profile_predictions_loss: 255.7828 - logcount_predictions_loss: 0.2349 1050/1134 [==========================>...] - ETA: 11s - loss: 258.2956 - logits_profile_predictions_loss: 255.7821 - logcount_predictions_loss: 0.2349 1051/1134 [==========================>...] - ETA: 11s - loss: 258.2949 - logits_profile_predictions_loss: 255.7814 - logcount_predictions_loss: 0.2349 1052/1134 [==========================>...] - ETA: 11s - loss: 258.2942 - logits_profile_predictions_loss: 255.7807 - logcount_predictions_loss: 0.2349 1053/1134 [==========================>...] - ETA: 11s - loss: 258.2934 - logits_profile_predictions_loss: 255.7800 - logcount_predictions_loss: 0.2349 1054/1134 [==========================>...] - ETA: 11s - loss: 258.2926 - logits_profile_predictions_loss: 255.7792 - logcount_predictions_loss: 0.2349 1055/1134 [==========================>...] - ETA: 11s - loss: 258.2919 - logits_profile_predictions_loss: 255.7785 - logcount_predictions_loss: 0.2349 1056/1134 [==========================>...] - ETA: 10s - loss: 258.2911 - logits_profile_predictions_loss: 255.7777 - logcount_predictions_loss: 0.2349 1057/1134 [==========================>...] - ETA: 10s - loss: 258.2904 - logits_profile_predictions_loss: 255.7769 - logcount_predictions_loss: 0.2349 1058/1134 [==========================>...] - ETA: 10s - loss: 258.2896 - logits_profile_predictions_loss: 255.7762 - logcount_predictions_loss: 0.2349 1059/1134 [===========================>..] - ETA: 10s - loss: 258.2889 - logits_profile_predictions_loss: 255.7755 - logcount_predictions_loss: 0.2349 1060/1134 [===========================>..] - ETA: 10s - loss: 258.2881 - logits_profile_predictions_loss: 255.7747 - logcount_predictions_loss: 0.2349 1061/1134 [===========================>..] - ETA: 10s - loss: 258.2874 - logits_profile_predictions_loss: 255.7740 - logcount_predictions_loss: 0.2349 1062/1134 [===========================>..] - ETA: 10s - loss: 258.2867 - logits_profile_predictions_loss: 255.7733 - logcount_predictions_loss: 0.2349 1063/1134 [===========================>..] - ETA: 10s - loss: 258.2859 - logits_profile_predictions_loss: 255.7726 - logcount_predictions_loss: 0.2349 1064/1134 [===========================>..] - ETA: 9s - loss: 258.2852 - logits_profile_predictions_loss: 255.7719 - logcount_predictions_loss: 0.2349  1065/1134 [===========================>..] - ETA: 9s - loss: 258.2845 - logits_profile_predictions_loss: 255.7712 - logcount_predictions_loss: 0.2349 1066/1134 [===========================>..] - ETA: 9s - loss: 258.2838 - logits_profile_predictions_loss: 255.7705 - logcount_predictions_loss: 0.2349 1067/1134 [===========================>..] - ETA: 9s - loss: 258.2831 - logits_profile_predictions_loss: 255.7698 - logcount_predictions_loss: 0.2349 1068/1134 [===========================>..] - ETA: 9s - loss: 258.2825 - logits_profile_predictions_loss: 255.7691 - logcount_predictions_loss: 0.2349 1069/1134 [===========================>..] - ETA: 9s - loss: 258.2818 - logits_profile_predictions_loss: 255.7685 - logcount_predictions_loss: 0.2349 1070/1134 [===========================>..] - ETA: 9s - loss: 258.2811 - logits_profile_predictions_loss: 255.7678 - logcount_predictions_loss: 0.2349 1071/1134 [===========================>..] - ETA: 8s - loss: 258.2805 - logits_profile_predictions_loss: 255.7672 - logcount_predictions_loss: 0.2349 1072/1134 [===========================>..] - ETA: 8s - loss: 258.2799 - logits_profile_predictions_loss: 255.7666 - logcount_predictions_loss: 0.2349 1073/1134 [===========================>..] - ETA: 8s - loss: 258.2793 - logits_profile_predictions_loss: 255.7660 - logcount_predictions_loss: 0.2349 1074/1134 [===========================>..] - ETA: 8s - loss: 258.2786 - logits_profile_predictions_loss: 255.7653 - logcount_predictions_loss: 0.2349 1075/1134 [===========================>..] - ETA: 8s - loss: 258.2780 - logits_profile_predictions_loss: 255.7647 - logcount_predictions_loss: 0.2349 1076/1134 [===========================>..] - ETA: 8s - loss: 258.2774 - logits_profile_predictions_loss: 255.7641 - logcount_predictions_loss: 0.2349 1077/1134 [===========================>..] - ETA: 8s - loss: 258.2768 - logits_profile_predictions_loss: 255.7635 - logcount_predictions_loss: 0.2349 1078/1134 [===========================>..] - ETA: 7s - loss: 258.2762 - logits_profile_predictions_loss: 255.7629 - logcount_predictions_loss: 0.2349 1079/1134 [===========================>..] - ETA: 7s - loss: 258.2756 - logits_profile_predictions_loss: 255.7623 - logcount_predictions_loss: 0.2349 1080/1134 [===========================>..] - ETA: 7s - loss: 258.2750 - logits_profile_predictions_loss: 255.7617 - logcount_predictions_loss: 0.2349 1081/1134 [===========================>..] - ETA: 7s - loss: 258.2744 - logits_profile_predictions_loss: 255.7611 - logcount_predictions_loss: 0.2349 1082/1134 [===========================>..] - ETA: 7s - loss: 258.2738 - logits_profile_predictions_loss: 255.7606 - logcount_predictions_loss: 0.2349 1083/1134 [===========================>..] - ETA: 7s - loss: 258.2732 - logits_profile_predictions_loss: 255.7600 - logcount_predictions_loss: 0.2349 1084/1134 [===========================>..] - ETA: 7s - loss: 258.2726 - logits_profile_predictions_loss: 255.7594 - logcount_predictions_loss: 0.2349 1085/1134 [===========================>..] - ETA: 6s - loss: 258.2720 - logits_profile_predictions_loss: 255.7588 - logcount_predictions_loss: 0.2349 1086/1134 [===========================>..] - ETA: 6s - loss: 258.2714 - logits_profile_predictions_loss: 255.7583 - logcount_predictions_loss: 0.2349 1087/1134 [===========================>..] - ETA: 6s - loss: 258.2709 - logits_profile_predictions_loss: 255.7577 - logcount_predictions_loss: 0.2349 1088/1134 [===========================>..] - ETA: 6s - loss: 258.2703 - logits_profile_predictions_loss: 255.7571 - logcount_predictions_loss: 0.2349 1089/1134 [===========================>..] - ETA: 6s - loss: 258.2697 - logits_profile_predictions_loss: 255.7565 - logcount_predictions_loss: 0.2349 1090/1134 [===========================>..] - ETA: 6s - loss: 258.2691 - logits_profile_predictions_loss: 255.7560 - logcount_predictions_loss: 0.2349 1091/1134 [===========================>..] - ETA: 6s - loss: 258.2686 - logits_profile_predictions_loss: 255.7554 - logcount_predictions_loss: 0.2349 1092/1134 [===========================>..] - ETA: 5s - loss: 258.2681 - logits_profile_predictions_loss: 255.7549 - logcount_predictions_loss: 0.2349 1093/1134 [===========================>..] - ETA: 5s - loss: 258.2675 - logits_profile_predictions_loss: 255.7544 - logcount_predictions_loss: 0.2349 1094/1134 [===========================>..] - ETA: 5s - loss: 258.2670 - logits_profile_predictions_loss: 255.7539 - logcount_predictions_loss: 0.2349 1095/1134 [===========================>..] - ETA: 5s - loss: 258.2665 - logits_profile_predictions_loss: 255.7534 - logcount_predictions_loss: 0.2349 1096/1134 [===========================>..] - ETA: 5s - loss: 258.2659 - logits_profile_predictions_loss: 255.7528 - logcount_predictions_loss: 0.2349 1097/1134 [============================>.] - ETA: 5s - loss: 258.2654 - logits_profile_predictions_loss: 255.7523 - logcount_predictions_loss: 0.2349 1098/1134 [============================>.] - ETA: 5s - loss: 258.2649 - logits_profile_predictions_loss: 255.7518 - logcount_predictions_loss: 0.2349 1099/1134 [============================>.] - ETA: 4s - loss: 258.2643 - logits_profile_predictions_loss: 255.7513 - logcount_predictions_loss: 0.2349 1100/1134 [============================>.] - ETA: 4s - loss: 258.2638 - logits_profile_predictions_loss: 255.7507 - logcount_predictions_loss: 0.2349 1101/1134 [============================>.] - ETA: 4s - loss: 258.2633 - logits_profile_predictions_loss: 255.7502 - logcount_predictions_loss: 0.2349 1102/1134 [============================>.] - ETA: 4s - loss: 258.2628 - logits_profile_predictions_loss: 255.7497 - logcount_predictions_loss: 0.2349 1103/1134 [============================>.] - ETA: 4s - loss: 258.2622 - logits_profile_predictions_loss: 255.7492 - logcount_predictions_loss: 0.2349 1104/1134 [============================>.] - ETA: 4s - loss: 258.2617 - logits_profile_predictions_loss: 255.7487 - logcount_predictions_loss: 0.2349 1105/1134 [============================>.] - ETA: 4s - loss: 258.2612 - logits_profile_predictions_loss: 255.7482 - logcount_predictions_loss: 0.2349 1106/1134 [============================>.] - ETA: 3s - loss: 258.2607 - logits_profile_predictions_loss: 255.7476 - logcount_predictions_loss: 0.2349 1107/1134 [============================>.] - ETA: 3s - loss: 258.2601 - logits_profile_predictions_loss: 255.7471 - logcount_predictions_loss: 0.2349 1108/1134 [============================>.] - ETA: 3s - loss: 258.2596 - logits_profile_predictions_loss: 255.7465 - logcount_predictions_loss: 0.2349 1109/1134 [============================>.] - ETA: 3s - loss: 258.2590 - logits_profile_predictions_loss: 255.7460 - logcount_predictions_loss: 0.2349 1110/1134 [============================>.] - ETA: 3s - loss: 258.2584 - logits_profile_predictions_loss: 255.7454 - logcount_predictions_loss: 0.2349 1111/1134 [============================>.] - ETA: 3s - loss: 258.2579 - logits_profile_predictions_loss: 255.7449 - logcount_predictions_loss: 0.2349 1112/1134 [============================>.] - ETA: 3s - loss: 258.2573 - logits_profile_predictions_loss: 255.7443 - logcount_predictions_loss: 0.2349 1113/1134 [============================>.] - ETA: 2s - loss: 258.2568 - logits_profile_predictions_loss: 255.7438 - logcount_predictions_loss: 0.2349 1114/1134 [============================>.] - ETA: 2s - loss: 258.2562 - logits_profile_predictions_loss: 255.7432 - logcount_predictions_loss: 0.2349 1115/1134 [============================>.] - ETA: 2s - loss: 258.2556 - logits_profile_predictions_loss: 255.7427 - logcount_predictions_loss: 0.2349 1116/1134 [============================>.] - ETA: 2s - loss: 258.2551 - logits_profile_predictions_loss: 255.7421 - logcount_predictions_loss: 0.2349 1117/1134 [============================>.] - ETA: 2s - loss: 258.2545 - logits_profile_predictions_loss: 255.7416 - logcount_predictions_loss: 0.2349 1118/1134 [============================>.] - ETA: 2s - loss: 258.2539 - logits_profile_predictions_loss: 255.7410 - logcount_predictions_loss: 0.2349 1119/1134 [============================>.] - ETA: 2s - loss: 258.2534 - logits_profile_predictions_loss: 255.7405 - logcount_predictions_loss: 0.2349 1120/1134 [============================>.] - ETA: 1s - loss: 258.2528 - logits_profile_predictions_loss: 255.7399 - logcount_predictions_loss: 0.2349 1121/1134 [============================>.] - ETA: 1s - loss: 258.2523 - logits_profile_predictions_loss: 255.7394 - logcount_predictions_loss: 0.2349 1122/1134 [============================>.] - ETA: 1s - loss: 258.2518 - logits_profile_predictions_loss: 255.7389 - logcount_predictions_loss: 0.2349 1123/1134 [============================>.] - ETA: 1s - loss: 258.2512 - logits_profile_predictions_loss: 255.7383 - logcount_predictions_loss: 0.2349 1124/1134 [============================>.] - ETA: 1s - loss: 258.2507 - logits_profile_predictions_loss: 255.7378 - logcount_predictions_loss: 0.2349 1125/1134 [============================>.] - ETA: 1s - loss: 258.2502 - logits_profile_predictions_loss: 255.7373 - logcount_predictions_loss: 0.2349 1126/1134 [============================>.] - ETA: 1s - loss: 258.2497 - logits_profile_predictions_loss: 255.7368 - logcount_predictions_loss: 0.2348 1127/1134 [============================>.] - ETA: 0s - loss: 258.2492 - logits_profile_predictions_loss: 255.7363 - logcount_predictions_loss: 0.2348 1128/1134 [============================>.] - ETA: 0s - loss: 258.2487 - logits_profile_predictions_loss: 255.7358 - logcount_predictions_loss: 0.2348 1129/1134 [============================>.] - ETA: 0s - loss: 258.2481 - logits_profile_predictions_loss: 255.7353 - logcount_predictions_loss: 0.2348 1130/1134 [============================>.] - ETA: 0s - loss: 258.2476 - logits_profile_predictions_loss: 255.7348 - logcount_predictions_loss: 0.2348 1131/1134 [============================>.] - ETA: 0s - loss: 258.2471 - logits_profile_predictions_loss: 255.7342 - logcount_predictions_loss: 0.2348 1132/1134 [============================>.] - ETA: 0s - loss: 258.2466 - logits_profile_predictions_loss: 255.7337 - logcount_predictions_loss: 0.2348 1133/1134 [============================>.] - ETA: 0s - loss: 258.2460 - logits_profile_predictions_loss: 255.7332 - logcount_predictions_loss: 0.2348 1134/1134 [==============================] - ETA: 0s - loss: 258.2455 - logits_profile_predictions_loss: 255.7327 - logcount_predictions_loss: 0.2348 1134/1134 [==============================] - 167s 147ms/step - loss: 258.2450 - logits_profile_predictions_loss: 255.7321 - logcount_predictions_loss: 0.2348 - val_loss: 283.1053 - val_logits_profile_predictions_loss: 280.0641 - val_logcount_predictions_loss: 0.2842 + +Epoch 00011: val_loss did not improve from 280.80942 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-09-22_05-59-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(15566, 10) +loading nonpeaks... +got split:test for bed regions:(14144, 10) +0/117 +100/117 +2022-09-22_06-00-37: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(15566, 10) +loading nonpeaks... +got split:test for bed regions:(14144, 10) +0/117 +100/117 +2022-09-22_06-01-49: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(15566, 10) +loading nonpeaks... +got split:test for bed regions:(14144, 10) +0/117 +100/117 +2022-09-22_06-02-39: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_06-02-39: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 1:41 3/18 [====>.........................] - ETA: 4s  4/18 [=====>........................] - ETA: 5s 5/18 [=======>......................] - ETA: 6s 6/18 [=========>....................] - ETA: 6s 7/18 [==========>...................] - ETA: 5s 8/18 [============>.................] - ETA: 5s 9/18 [==============>...............] - ETA: 4s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 3s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 2s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 20s 807ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +Saving marginal footprints +2022-09-22_06-04-50: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_06-04-50: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_2//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 42s 3/18 [====>.........................] - ETA: 0s  5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 4s 77ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +Saving marginal footprints diff --git a/fold_2/model.bias_scaled.fold_2.ENCSR823ZCR.h5 b/fold_2/model.bias_scaled.fold_2.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..5fafde602a5ba3643fc70585873cc731fff87aca --- /dev/null +++ b/fold_2/model.bias_scaled.fold_2.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d4995b9eb4413431eb21e9edc7a261f7350990c873e885ffcbbcfa819afd1c3 +size 2688440 diff --git a/fold_2/model.bias_scaled.fold_2.ENCSR823ZCR.tar b/fold_2/model.bias_scaled.fold_2.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..83dfa017b8a79fa41076b89e7413dd8506dce22a --- /dev/null +++ b/fold_2/model.bias_scaled.fold_2.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ad74dd0c6b8db25f22c77071d476579d640f010b3fab180fcbbe985bf04108c4 +size 1198080 diff --git a/fold_2/model.chrombpnet.fold_2.ENCSR823ZCR.h5 b/fold_2/model.chrombpnet.fold_2.ENCSR823ZCR.h5 new file mode 100644 index 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b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.batch_loss.tsv b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..54b643a47a45f2c6a7a17b53eb5d153fa42355cf --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.batch_loss.tsv @@ -0,0 +1,11061 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 1.6441587209701538 278.27679443359375 260.6842956542969 None None None +0 1 20.26134490966797 482.1026916503906 265.30633544921875 None None None +0 2 14.244102478027344 427.3354797363281 274.9236145019531 None None None +0 3 11.28561019897461 404.63531494140625 283.8793029785156 None None None +0 4 9.364240646362305 378.4503479003906 278.25299072265625 None None None +0 5 8.106313705444336 362.9608459472656 276.2232971191406 None None None +0 6 7.311254978179932 359.220703125 280.9902648925781 None None None +0 7 6.667147636413574 352.92962646484375 281.5911560058594 None None None +0 8 6.179576873779297 350.6427917480469 284.5213317871094 None None None +0 9 5.786871910095215 347.29638671875 285.3768615722656 None None None +0 10 5.463989734649658 343.3350830078125 284.8703918457031 None None None +0 11 5.218502521514893 344.0393371582031 288.2013854980469 None None None +0 12 4.983789443969727 341.44146728515625 288.1149597167969 None None None +0 13 4.7313313484191895 334.9384765625 284.313232421875 None None None +0 14 4.5708465576171875 334.1070861816406 285.19903564453125 None None None +0 15 4.4275689125061035 333.3499450683594 285.9749450683594 None None None +0 16 4.272551536560059 330.5559387207031 284.8396301269531 None None None +0 17 4.156614780426025 329.7802734375 285.3044738769531 None None None +0 18 4.051181316375732 328.3766174316406 285.0289611816406 None None None +0 19 3.9535012245178223 327.3836669921875 285.0812072753906 None None None +0 20 3.8496932983398438 325.35479736328125 284.1630859375 None None None +0 21 3.7618589401245117 323.6486511230469 283.3967590332031 None None None +0 22 3.7084732055664062 324.1128845214844 284.4322509765625 None None None +0 23 3.658773422241211 324.1903381347656 285.0414733886719 None None None +0 24 3.596761465072632 323.75543212890625 285.2701110839844 None None None +0 25 3.550232172012329 323.3562927246094 285.36883544921875 None None None +0 26 3.496493101119995 322.6992492675781 285.2867736816406 None None None +0 27 3.461216688156128 323.1598205566406 286.1247863769531 None None None +0 28 3.419243812561035 322.63507080078125 286.04913330078125 None None None +0 29 3.372434139251709 321.5851745605469 285.5000915527344 None None None +0 30 3.3579962253570557 322.8695373535156 286.9389343261719 None None None +0 31 3.3094842433929443 321.64825439453125 286.23675537109375 None None None +0 32 3.2876861095428467 321.8304443359375 286.65216064453125 None None None +0 33 3.255967378616333 321.3806457519531 286.5417785644531 None None None +0 34 3.223287343978882 320.6455078125 286.15631103515625 None None None +0 35 3.1956894397735596 320.27197265625 286.07806396484375 None None None +0 36 3.175786256790161 320.2925720214844 286.3116455078125 None None None +0 37 3.149568796157837 320.18328857421875 286.48291015625 None None None +0 38 3.1177096366882324 319.3941955566406 286.0346984863281 None None None +0 39 3.089480400085449 318.63079833984375 285.5733642578125 None None None +0 40 3.079460620880127 318.969482421875 286.0192565917969 None None None +0 41 3.058063268661499 318.8015441894531 286.08026123046875 None None None +0 42 3.0336618423461914 318.1035461425781 285.6433410644531 None None None +0 43 3.0008585453033447 316.90216064453125 284.7929382324219 None None None +0 44 2.9752886295318604 316.10382080078125 284.2682189941406 None None None +0 45 2.9576730728149414 315.67364501953125 284.02655029296875 None None None +0 46 2.9386823177337646 315.22821044921875 283.7843017578125 None None None +0 47 2.916874885559082 314.6295166015625 283.4189147949219 None None None +0 48 2.905106544494629 314.77716064453125 283.6925048828125 None None None +0 49 2.893266201019287 314.609130859375 283.6511535644531 None None None +0 50 2.870034694671631 313.8930358886719 283.18365478515625 None None None +0 51 2.8536503314971924 313.46783447265625 282.93377685546875 None None None +0 52 2.8397574424743652 313.1688232421875 282.7833557128906 None None 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256.6717224121094 254.34515380859375 None None None diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.bias_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bae19eddcafc96d4dc8662c34222013c8c7c770 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 14:15:55.611925: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.610908: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.617329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 14:15:58.655632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.655703: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.687267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.687349: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.702148: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.708663: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.732195: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.737831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.739046: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.740884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.741242: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 14:15:58.742121: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.742381: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.742413: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.742442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.742467: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.742491: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.742515: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.742539: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.742563: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.742587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.742937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.744261: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:16:00.572982: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 14:16:00.573090: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 14:16:00.573110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 14:16:00.576178: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:03:00.0, compute capability: 6.0) +2023-07-14 14:16:01.441305: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.bias_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..225f8f9e9db06b9ac22ffd7d76165a2edc2fe7c4 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/new_model_formats/bias_model_scaled diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet.params.json b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..61cd8115a63a8cd34bfdc57b1a1ce02161bb5fdf --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "10.7", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_data_params.tsv b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..ec1e75ccbb824882e555f2087912b87a8d477380 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 12.0 +counts_sum_max_thresh 667.0 +trainings_pts_post_thresh 76832 diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..adda8ce9f9c7a8c573d93c71a19dfb7c526af4c2 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 16:31:01.082234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:03.371224: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:03.374797: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:31:03.936840: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:03.936909: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:03.954339: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:03.954386: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:03.963464: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:03.967773: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:03.983003: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:03.987150: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:03.988073: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:03.998751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:03.999036: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:31:03.999699: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:04.007717: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 16:31:04.007769: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:04.007799: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:04.007821: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:04.007841: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:04.007860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:04.007879: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:04.007897: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:04.007915: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:04.052208: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:04.054611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:07.129812: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:31:07.129918: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:31:07.129931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:31:07.136367: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:8a:00.0, compute capability: 8.0) +2023-07-14 16:31:09.258670: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..8013d189daa832ead130b3dd5e12077db0193bb3 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/new_model_formats/chrombpnet diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_model_params.tsv b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..efccc76ffdd0fe79636cf5846094694c2edf2ab4 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 10.7 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2a8b52c0ba4fac8d8c08090df27e73efcf942f5 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/new_model_formats/chrombpnet_wo_bias diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2a8b52c0ba4fac8d8c08090df27e73efcf942f5 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_3/new_model_formats/chrombpnet_wo_bias diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.epoch_loss.csv b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..175727a624b35e40072b6aaece30263fd5a93575 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.epoch_loss.csv @@ -0,0 +1,11 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.899417519569397,272.87213134765625,293.19610595703125,0.5438757538795471,276.72235107421875,282.5417785644531 +1,0.39953044056892395,268.3081359863281,272.583251953125,0.37746304273605347,273.144287109375,277.18316650390625 +2,0.3550475537776947,266.1381530761719,269.9371032714844,0.3554944396018982,272.7010498046875,276.50482177734375 +3,0.3343234658241272,265.0162658691406,268.5934753417969,0.37764298915863037,271.8172607421875,275.858154296875 +4,0.3201718032360077,263.7514343261719,267.17755126953125,0.3312903642654419,271.71710205078125,275.2618713378906 +5,0.29897046089172363,262.3853454589844,265.5843200683594,0.32777372002601624,272.8138732910156,276.3210754394531 +6,0.28259530663490295,261.3916931152344,264.4157409667969,0.321022629737854,272.7478942871094,276.1827392578125 +7,0.27007555961608887,260.17254638671875,263.0623474121094,0.319637268781662,273.22393798828125,276.6440734863281 +8,0.23671121895313263,256.6061706542969,259.1390380859375,0.32694506645202637,274.4440612792969,277.9423828125 +9,0.21745352447032928,254.34515380859375,256.6717224121094,0.3237389028072357,275.6204528808594,279.0845031738281 diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stderr.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9ace98c4ad0ffb7e152f37f843c9580560f20e0 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stderr.txt @@ -0,0 +1,328 @@ +2022-09-22 05:24:47.524509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:12.545634: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:26:12.547186: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:26:12.870483: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:26:12.870563: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:12.889562: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:12.889608: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:12.900029: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:26:12.905492: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:26:12.922265: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:26:12.927000: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:26:12.928130: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:12.932046: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:26:12.932375: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:26:12.932438: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:26:12.933775: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:26:12.933799: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:12.933815: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:12.933827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:12.933838: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:26:12.933848: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:26:12.933859: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:26:12.933870: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:26:12.933880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:12.936467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:26:12.937723: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:14.338296: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:26:14.338441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:26:14.338453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:26:14.344323: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-09-22 05:26:15.380280: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:26:15.387415: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-09-22 05:26:15.568394: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:16.900514: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:16.907371: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:33.146341: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:34.458675: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:26:34.459308: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:26:34.645982: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:26:34.646094: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:34.647880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:34.647919: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:34.648693: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:26:34.648855: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:26:34.650639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:26:34.651015: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:26:34.651137: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:34.652763: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:26:34.653055: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:26:34.653127: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:26:34.653930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:26:34.653979: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:34.653995: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:34.654007: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:34.654018: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:26:34.654029: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:26:34.654039: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:26:34.654049: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:26:34.654067: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:34.655590: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:26:34.655617: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:35.222675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:26:35.222822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:26:35.222834: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:26:35.225514: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-09-22 05:27:59.792465: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:27:59.792873: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-09-22 05:28:01.000653: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:28:01.400458: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:28:01.413271: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:28:03.893742: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2022-09-22 05:55:33.430762: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:55:35.513336: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:55:35.514237: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:55:35.710904: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:55:35.710981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:55:35.712744: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:55:35.712784: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:55:35.713578: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:55:35.713736: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:55:35.715491: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:55:35.715867: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:55:35.715988: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:55:35.717554: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:55:35.717807: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:55:35.717863: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:55:35.718647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:55:35.718667: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:55:35.718685: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:55:35.718700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:55:35.718713: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:55:35.718726: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:55:35.718739: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:55:35.718751: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:55:35.718764: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:55:35.720255: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:55:35.720285: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:55:36.142090: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:55:36.142234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:55:36.142247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:55:36.145167: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-09-22 05:56:00.316898: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:56:00.319521: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-09-22 05:56:00.381592: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:56:00.788276: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:56:00.790199: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 05:56:59.388018: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:57:01.293828: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:57:01.294579: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:57:01.496849: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:57:01.496918: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:57:01.498592: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:57:01.498631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:57:01.499382: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:57:01.499538: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:57:01.501209: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:57:01.501574: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:57:01.501691: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:57:01.503581: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:57:01.503817: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:57:01.503904: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:57:01.504700: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:57:01.504719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:57:01.504735: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:57:01.504748: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:57:01.504759: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:57:01.504770: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:57:01.504781: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:57:01.504792: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:57:01.504804: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:57:01.506295: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:57:01.506324: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:57:01.923091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:57:01.923230: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:57:01.923242: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:57:01.925918: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 05:57:25.956982: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:57:25.958772: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-09-22 05:57:26.000875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:57:26.400018: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:57:26.401413: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 05:58:20.751782: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:58:22.640513: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:58:22.641315: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:58:22.847243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:58:22.847318: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:58:22.848988: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:58:22.849029: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:58:22.849793: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:58:22.849947: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:58:22.851632: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:58:22.852001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:58:22.852119: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:58:22.853700: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:58:22.853950: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:58:22.854004: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:58:22.854816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:58:22.854836: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:58:22.854851: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:58:22.854864: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:58:22.854905: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:58:22.854919: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:58:22.854930: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:58:22.854941: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:58:22.854952: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:58:22.856479: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:58:22.856507: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:58:23.277872: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:58:23.278018: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:58:23.278031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:58:23.280924: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-09-22 05:58:47.474742: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:58:47.476127: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-09-22 05:58:47.503878: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:58:47.901674: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:58:47.903021: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 05:59:16.507699: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:17.439294: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:59:17.439939: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:59:17.634798: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:59:17.634871: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:17.636550: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:59:17.636595: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:59:17.637341: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:59:17.637499: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:59:17.639203: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:59:17.639574: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:59:17.639691: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:59:17.641236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:59:17.641474: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:59:17.641527: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:59:17.642310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 05:59:17.642334: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:17.642350: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:59:17.642363: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:59:17.642374: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:59:17.642386: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:59:17.642397: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:59:17.642408: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:59:17.642419: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:59:17.643909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:59:17.643938: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:59:18.064827: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:59:18.064999: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:59:18.065013: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:59:18.067942: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 05:59:22.777762: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:59:22.778307: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-09-22 05:59:22.934684: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:59:23.348841: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:59:23.350360: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints’: File exists +2022-09-22 06:01:26.092901: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:27.018442: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:01:27.019117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:01:27.225795: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:01:27.225897: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:27.227564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:01:27.227605: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:01:27.228345: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:01:27.228495: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:01:27.230189: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:01:27.230555: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:01:27.230670: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:01:27.232215: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:01:27.232460: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:01:27.232515: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:01:27.233297: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 06:01:27.233337: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:27.233355: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:01:27.233369: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:01:27.233382: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:01:27.233394: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:01:27.233407: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:01:27.233419: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:01:27.233431: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:01:27.234930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:01:27.234962: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:01:27.649827: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:01:27.649972: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:01:27.649985: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:01:27.652639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-09-22 06:01:32.337056: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:01:32.337591: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-09-22 06:01:32.446379: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:01:32.871777: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:01:32.873281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stdout.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a574d872cc67ec13e62f2b56da4306b9cb9ac4b --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stdout.txt @@ -0,0 +1,466 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json +Thu Sep 22 05:24:45 2022 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +| | | MIG M. | +|===============================+======================+======================| +| 0 NVIDIA A100-SXM... On | 00000000:C1:00.0 Off | 0 | +| N/A 27C P0 59W / 500W | 0MiB / 81920MiB | 0% E. Process | +| | | Disabled | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: | +| GPU GI CI PID Type Process name GPU Memory | +| ID ID Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ +No logfile supplied - creating one +2022-09-22_05-24-46: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_3/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr7', 'chr8', 'chr9', 'chr11', 'chr12', 'chr13', 'chr15', 'chr16', 'chr17', 'chr19', 'chrX', 'chrY', 'chr6', 'chr21'] +Number of peaks input: 71320 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 71320 +Number of peaks input: 17626 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 17626 +Number of non peaks input: 71447 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 71447 +Number of non peaks input: 17498 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 17498 +Number of peaks after removing outliers: 70531 +Number of nonpeaks after removing outliers: 62954 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/1968 [..............................] - ETA: 3:48:43 12/1968 [..............................] - ETA: 8s  23/1968 [..............................] - ETA: 8s 34/1968 [..............................] - ETA: 8s 46/1968 [..............................] - ETA: 8s 58/1968 [..............................] - ETA: 8s 70/1968 [>.............................] - ETA: 8s 82/1968 [>.............................] - ETA: 8s 94/1968 [>.............................] - ETA: 8s 106/1968 [>.............................] - ETA: 8s 118/1968 [>.............................] - ETA: 8s 130/1968 [>.............................] - ETA: 8s 142/1968 [=>............................] - ETA: 8s 154/1968 [=>............................] - ETA: 8s 166/1968 [=>............................] - ETA: 8s 178/1968 [=>............................] - ETA: 7s 190/1968 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4ms/step +2022-09-22_05-26-33: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(64336, 10) +loading nonpeaks... +got split:train for bed regions:(58196, 10) +loading peaks... +got split:valid for bed regions:(6195, 10) +loading nonpeaks... +got split:valid for bed regions:(4758, 10) +Epoch 1/50 + 1/1106 [..............................] - ETA: 1:43:59 - loss: 278.2768 - logits_profile_predictions_loss: 260.6843 - logcount_predictions_loss: 1.6442 2/1106 [..............................] - ETA: 2:34 - loss: 380.1897 - logits_profile_predictions_loss: 262.9953 - logcount_predictions_loss: 10.9528  3/1106 [..............................] - ETA: 2:34 - loss: 395.9050 - logits_profile_predictions_loss: 266.9714 - logcount_predictions_loss: 12.0499 4/1106 [..............................] - ETA: 2:33 - loss: 398.0876 - logits_profile_predictions_loss: 271.1984 - logcount_predictions_loss: 11.8588 5/1106 [..............................] - ETA: 2:33 - loss: 394.1601 - logits_profile_predictions_loss: 272.6093 - logcount_predictions_loss: 11.3599 6/1106 [..............................] - ETA: 2:33 - loss: 388.9602 - logits_profile_predictions_loss: 273.2116 - logcount_predictions_loss: 10.8176 7/1106 [..............................] - ETA: 2:32 - loss: 384.7117 - logits_profile_predictions_loss: 274.3229 - logcount_predictions_loss: 10.3167 8/1106 [..............................] - ETA: 2:32 - loss: 380.7390 - logits_profile_predictions_loss: 275.2314 - logcount_predictions_loss: 9.8605  9/1106 [..............................] - ETA: 2:32 - loss: 377.3950 - logits_profile_predictions_loss: 276.2636 - logcount_predictions_loss: 9.4515 10/1106 [..............................] - ETA: 2:32 - loss: 374.3851 - logits_profile_predictions_loss: 277.1749 - logcount_predictions_loss: 9.0851 11/1106 [..............................] - ETA: 2:32 - loss: 371.5624 - logits_profile_predictions_loss: 277.8745 - logcount_predictions_loss: 8.7559 12/1106 [..............................] - ETA: 2:32 - loss: 369.2688 - logits_profile_predictions_loss: 278.7351 - logcount_predictions_loss: 8.4611 13/1106 [..............................] - ETA: 2:31 - loss: 367.1282 - logits_profile_predictions_loss: 279.4566 - logcount_predictions_loss: 8.1936 14/1106 [..............................] - ETA: 2:31 - loss: 364.8290 - logits_profile_predictions_loss: 279.8035 - logcount_predictions_loss: 7.9463 15/1106 [..............................] - ETA: 2:31 - loss: 362.7808 - logits_profile_predictions_loss: 280.1632 - logcount_predictions_loss: 7.7213 16/1106 [..............................] - ETA: 2:31 - loss: 360.9414 - logits_profile_predictions_loss: 280.5265 - logcount_predictions_loss: 7.5154 17/1106 [..............................] - ETA: 2:31 - loss: 359.1540 - logits_profile_predictions_loss: 280.7802 - logcount_predictions_loss: 7.3247 18/1106 [..............................] - ETA: 2:31 - loss: 357.5221 - logits_profile_predictions_loss: 281.0315 - logcount_predictions_loss: 7.1487 19/1106 [..............................] - ETA: 2:31 - loss: 355.9882 - logits_profile_predictions_loss: 281.2419 - logcount_predictions_loss: 6.9856 20/1106 [..............................] - ETA: 2:30 - loss: 354.5579 - logits_profile_predictions_loss: 281.4339 - logcount_predictions_loss: 6.8340 21/1106 [..............................] - ETA: 2:30 - loss: 353.1673 - logits_profile_predictions_loss: 281.5638 - logcount_predictions_loss: 6.6919 22/1106 [..............................] - ETA: 2:30 - loss: 351.8256 - logits_profile_predictions_loss: 281.6472 - logcount_predictions_loss: 6.5587 23/1106 [..............................] - ETA: 2:30 - loss: 350.6207 - logits_profile_predictions_loss: 281.7683 - logcount_predictions_loss: 6.4348 24/1106 [..............................] - ETA: 2:30 - loss: 349.5194 - logits_profile_predictions_loss: 281.9046 - logcount_predictions_loss: 6.3191 25/1106 [..............................] - ETA: 2:30 - loss: 348.4888 - logits_profile_predictions_loss: 282.0393 - logcount_predictions_loss: 6.2102 26/1106 [..............................] - ETA: 2:30 - loss: 347.5222 - logits_profile_predictions_loss: 282.1673 - logcount_predictions_loss: 6.1079 27/1106 [..............................] - ETA: 2:29 - loss: 346.6028 - logits_profile_predictions_loss: 282.2829 - logcount_predictions_loss: 6.0112 28/1106 [..............................] - ETA: 2:29 - loss: 345.7656 - logits_profile_predictions_loss: 282.4201 - logcount_predictions_loss: 5.9201 29/1106 [..............................] - ETA: 2:29 - loss: 344.9680 - logits_profile_predictions_loss: 282.5452 - logcount_predictions_loss: 5.8339 30/1106 [..............................] - ETA: 2:29 - loss: 344.1886 - logits_profile_predictions_loss: 282.6437 - logcount_predictions_loss: 5.7519 31/1106 [..............................] - ETA: 2:29 - loss: 343.5008 - logits_profile_predictions_loss: 282.7823 - logcount_predictions_loss: 5.6746 32/1106 [..............................] - ETA: 2:29 - loss: 342.8179 - logits_profile_predictions_loss: 282.8902 - logcount_predictions_loss: 5.6007 33/1106 [..............................] - ETA: 2:29 - loss: 342.1820 - logits_profile_predictions_loss: 283.0042 - logcount_predictions_loss: 5.5306 34/1106 [..............................] - ETA: 2:28 - loss: 341.5702 - logits_profile_predictions_loss: 283.1083 - logcount_predictions_loss: 5.4637 35/1106 [..............................] - ETA: 2:28 - loss: 340.9723 - logits_profile_predictions_loss: 283.1953 - logcount_predictions_loss: 5.3997 36/1106 [..............................] - ETA: 2:28 - loss: 340.3973 - logits_profile_predictions_loss: 283.2754 - logcount_predictions_loss: 5.3385 37/1106 [>.............................] - ETA: 2:28 - loss: 339.8539 - logits_profile_predictions_loss: 283.3575 - logcount_predictions_loss: 5.2800 38/1106 [>.............................] - ETA: 2:28 - loss: 339.3363 - logits_profile_predictions_loss: 283.4397 - logcount_predictions_loss: 5.2240 39/1106 [>.............................] - ETA: 2:28 - loss: 338.8249 - logits_profile_predictions_loss: 283.5063 - logcount_predictions_loss: 5.1700 40/1106 [>.............................] - ETA: 2:28 - loss: 338.3201 - logits_profile_predictions_loss: 283.5579 - logcount_predictions_loss: 5.1180 41/1106 [>.............................] - ETA: 2:27 - loss: 337.8481 - logits_profile_predictions_loss: 283.6180 - logcount_predictions_loss: 5.0682 42/1106 [>.............................] - ETA: 2:27 - loss: 337.3946 - logits_profile_predictions_loss: 283.6766 - logcount_predictions_loss: 5.0204 43/1106 [>.............................] - ETA: 2:27 - loss: 336.9460 - logits_profile_predictions_loss: 283.7223 - logcount_predictions_loss: 4.9742 44/1106 [>.............................] - ETA: 2:27 - loss: 336.4905 - logits_profile_predictions_loss: 283.7467 - logcount_predictions_loss: 4.9293 45/1106 [>.............................] - ETA: 2:27 - loss: 336.0374 - logits_profile_predictions_loss: 283.7583 - logcount_predictions_loss: 4.8859 46/1106 [>.............................] - ETA: 2:27 - loss: 335.5947 - logits_profile_predictions_loss: 283.7641 - logcount_predictions_loss: 4.8440 47/1106 [>.............................] - ETA: 2:27 - loss: 335.1614 - logits_profile_predictions_loss: 283.7645 - logcount_predictions_loss: 4.8034 48/1106 [>.............................] - ETA: 2:26 - loss: 334.7337 - logits_profile_predictions_loss: 283.7573 - logcount_predictions_loss: 4.7641 49/1106 [>.............................] - ETA: 2:26 - loss: 334.3264 - logits_profile_predictions_loss: 283.7560 - logcount_predictions_loss: 4.7262 50/1106 [>.............................] - ETA: 2:26 - loss: 333.9320 - logits_profile_predictions_loss: 283.7539 - logcount_predictions_loss: 4.6895 51/1106 [>.............................] - ETA: 2:26 - loss: 333.5391 - logits_profile_predictions_loss: 283.7427 - logcount_predictions_loss: 4.6539 52/1106 [>.............................] - ETA: 2:26 - loss: 333.1531 - logits_profile_predictions_loss: 283.7272 - logcount_predictions_loss: 4.6192 53/1106 [>.............................] - ETA: 2:26 - loss: 332.7761 - logits_profile_predictions_loss: 283.7094 - logcount_predictions_loss: 4.5857 54/1106 [>.............................] - ETA: 2:26 - loss: 332.4168 - logits_profile_predictions_loss: 283.6971 - logcount_predictions_loss: 4.5532 55/1106 [>.............................] - ETA: 2:26 - loss: 332.0709 - logits_profile_predictions_loss: 283.6877 - logcount_predictions_loss: 4.5218 56/1106 [>.............................] - ETA: 2:25 - loss: 331.7283 - logits_profile_predictions_loss: 283.6727 - logcount_predictions_loss: 4.4912 57/1106 [>.............................] - ETA: 2:25 - loss: 331.3953 - logits_profile_predictions_loss: 283.6578 - logcount_predictions_loss: 4.4615 58/1106 [>.............................] - ETA: 2:25 - loss: 331.0709 - logits_profile_predictions_loss: 283.6427 - logcount_predictions_loss: 4.4325 59/1106 [>.............................] - ETA: 2:25 - loss: 330.7609 - logits_profile_predictions_loss: 283.6331 - logcount_predictions_loss: 4.4045 60/1106 [>.............................] - ETA: 2:25 - loss: 330.4504 - logits_profile_predictions_loss: 283.6164 - logcount_predictions_loss: 4.3770 61/1106 [>.............................] - ETA: 2:25 - loss: 330.1456 - logits_profile_predictions_loss: 283.5976 - logcount_predictions_loss: 4.3503 62/1106 [>.............................] - ETA: 2:25 - loss: 329.8471 - logits_profile_predictions_loss: 283.5777 - logcount_predictions_loss: 4.3242 63/1106 [>.............................] - ETA: 2:24 - loss: 329.5496 - logits_profile_predictions_loss: 283.5522 - logcount_predictions_loss: 4.2988 64/1106 [>.............................] - ETA: 2:24 - loss: 329.2554 - logits_profile_predictions_loss: 283.5234 - logcount_predictions_loss: 4.2740 65/1106 [>.............................] - ETA: 2:24 - loss: 328.9727 - logits_profile_predictions_loss: 283.4990 - logcount_predictions_loss: 4.2499 66/1106 [>.............................] - ETA: 2:24 - loss: 328.6944 - logits_profile_predictions_loss: 283.4730 - logcount_predictions_loss: 4.2263 67/1106 [>.............................] - ETA: 2:24 - loss: 328.4295 - logits_profile_predictions_loss: 283.4530 - logcount_predictions_loss: 4.2034 68/1106 [>.............................] - ETA: 2:24 - loss: 328.1785 - logits_profile_predictions_loss: 283.4396 - logcount_predictions_loss: 4.1812 69/1106 [>.............................] - ETA: 2:24 - loss: 327.9259 - logits_profile_predictions_loss: 283.4194 - logcount_predictions_loss: 4.1595 70/1106 [>.............................] - ETA: 2:23 - loss: 327.6844 - logits_profile_predictions_loss: 283.4038 - logcount_predictions_loss: 4.1384 71/1106 [>.............................] - ETA: 2:23 - loss: 327.4519 - logits_profile_predictions_loss: 283.3917 - logcount_predictions_loss: 4.1178 72/1106 [>.............................] - ETA: 2:23 - loss: 327.2257 - logits_profile_predictions_loss: 283.3807 - logcount_predictions_loss: 4.0977 73/1106 [>.............................] - ETA: 2:23 - loss: 327.0015 - logits_profile_predictions_loss: 283.3676 - logcount_predictions_loss: 4.0779 74/1106 [=>............................] - ETA: 2:23 - loss: 326.7817 - logits_profile_predictions_loss: 283.3539 - logcount_predictions_loss: 4.0587 75/1106 [=>............................] - ETA: 2:23 - loss: 326.5688 - logits_profile_predictions_loss: 283.3420 - logcount_predictions_loss: 4.0399 76/1106 [=>............................] - ETA: 2:23 - loss: 326.3579 - logits_profile_predictions_loss: 283.3282 - logcount_predictions_loss: 4.0215 77/1106 [=>............................] - ETA: 2:22 - loss: 326.1503 - logits_profile_predictions_loss: 283.3133 - logcount_predictions_loss: 4.0035 78/1106 [=>............................] - ETA: 2:22 - loss: 325.9421 - logits_profile_predictions_loss: 283.2945 - logcount_predictions_loss: 3.9858 79/1106 [=>............................] - ETA: 2:22 - loss: 325.7352 - logits_profile_predictions_loss: 283.2732 - logcount_predictions_loss: 3.9684 80/1106 [=>............................] - ETA: 2:22 - loss: 325.5339 - logits_profile_predictions_loss: 283.2530 - logcount_predictions_loss: 3.9515 81/1106 [=>............................] - ETA: 2:22 - loss: 325.3391 - logits_profile_predictions_loss: 283.2349 - logcount_predictions_loss: 3.9350 82/1106 [=>............................] - ETA: 2:22 - loss: 325.1435 - logits_profile_predictions_loss: 283.2130 - logcount_predictions_loss: 3.9187 83/1106 [=>............................] - ETA: 2:22 - loss: 324.9543 - logits_profile_predictions_loss: 283.1936 - logcount_predictions_loss: 3.9029 84/1106 [=>............................] - ETA: 2:22 - loss: 324.7641 - logits_profile_predictions_loss: 283.1701 - logcount_predictions_loss: 3.8873 85/1106 [=>............................] - ETA: 2:21 - loss: 324.5798 - logits_profile_predictions_loss: 283.1489 - logcount_predictions_loss: 3.8720 86/1106 [=>............................] - ETA: 2:21 - loss: 324.3967 - logits_profile_predictions_loss: 283.1261 - logcount_predictions_loss: 3.8571 87/1106 [=>............................] - ETA: 2:21 - loss: 324.2180 - logits_profile_predictions_loss: 283.1044 - logcount_predictions_loss: 3.8424 88/1106 [=>............................] - ETA: 2:21 - loss: 324.0401 - logits_profile_predictions_loss: 283.0808 - logcount_predictions_loss: 3.8280 89/1106 [=>............................] - ETA: 2:21 - loss: 323.8624 - logits_profile_predictions_loss: 283.0552 - logcount_predictions_loss: 3.8137 90/1106 [=>............................] - ETA: 2:21 - loss: 323.6895 - logits_profile_predictions_loss: 283.0313 - logcount_predictions_loss: 3.7998 91/1106 [=>............................] - ETA: 2:21 - loss: 323.5169 - logits_profile_predictions_loss: 283.0053 - logcount_predictions_loss: 3.7861 92/1106 [=>............................] - ETA: 2:20 - loss: 323.3445 - logits_profile_predictions_loss: 282.9772 - logcount_predictions_loss: 3.7726 93/1106 [=>............................] - ETA: 2:20 - loss: 323.1733 - logits_profile_predictions_loss: 282.9479 - logcount_predictions_loss: 3.7594 94/1106 [=>............................] - ETA: 2:20 - loss: 322.9993 - logits_profile_predictions_loss: 282.9141 - logcount_predictions_loss: 3.7463 95/1106 [=>............................] - ETA: 2:20 - loss: 322.8241 - logits_profile_predictions_loss: 282.8773 - logcount_predictions_loss: 3.7333 96/1106 [=>............................] - ETA: 2:20 - loss: 322.6484 - logits_profile_predictions_loss: 282.8381 - logcount_predictions_loss: 3.7206 97/1106 [=>............................] - ETA: 2:20 - loss: 322.4755 - logits_profile_predictions_loss: 282.7995 - logcount_predictions_loss: 3.7080 98/1106 [=>............................] - ETA: 2:20 - loss: 322.3022 - logits_profile_predictions_loss: 282.7587 - logcount_predictions_loss: 3.6957 99/1106 [=>............................] - ETA: 2:19 - loss: 322.1362 - logits_profile_predictions_loss: 282.7222 - logcount_predictions_loss: 3.6835 100/1106 [=>............................] - ETA: 2:19 - loss: 321.9735 - logits_profile_predictions_loss: 282.6869 - logcount_predictions_loss: 3.6716 101/1106 [=>............................] - ETA: 2:19 - loss: 321.8136 - logits_profile_predictions_loss: 282.6522 - logcount_predictions_loss: 3.6599 102/1106 [=>............................] - ETA: 2:19 - loss: 321.6546 - logits_profile_predictions_loss: 282.6166 - logcount_predictions_loss: 3.6484 103/1106 [=>............................] - ETA: 2:19 - loss: 321.4996 - logits_profile_predictions_loss: 282.5827 - logcount_predictions_loss: 3.6371 104/1106 [=>............................] - ETA: 2:19 - loss: 321.3478 - logits_profile_predictions_loss: 282.5498 - logcount_predictions_loss: 3.6260 105/1106 [=>............................] - ETA: 2:19 - loss: 321.1969 - logits_profile_predictions_loss: 282.5162 - logcount_predictions_loss: 3.6150 106/1106 [=>............................] - ETA: 2:18 - loss: 321.0474 - logits_profile_predictions_loss: 282.4822 - logcount_predictions_loss: 3.6042 107/1106 [=>............................] - ETA: 2:18 - loss: 320.8988 - logits_profile_predictions_loss: 282.4474 - logcount_predictions_loss: 3.5936 108/1106 [=>............................] - ETA: 2:18 - loss: 320.7521 - logits_profile_predictions_loss: 282.4129 - logcount_predictions_loss: 3.5831 109/1106 [=>............................] - ETA: 2:18 - loss: 320.6062 - logits_profile_predictions_loss: 282.3776 - logcount_predictions_loss: 3.5728 110/1106 [=>............................] - ETA: 2:18 - loss: 320.4635 - logits_profile_predictions_loss: 282.3437 - logcount_predictions_loss: 3.5626 111/1106 [==>...........................] - ETA: 2:18 - loss: 320.3247 - logits_profile_predictions_loss: 282.3118 - logcount_predictions_loss: 3.5526 112/1106 [==>...........................] - ETA: 2:18 - loss: 320.1872 - logits_profile_predictions_loss: 282.2796 - logcount_predictions_loss: 3.5428 113/1106 [==>...........................] - ETA: 2:17 - loss: 320.0530 - logits_profile_predictions_loss: 282.2490 - logcount_predictions_loss: 3.5331 114/1106 [==>...........................] - ETA: 2:17 - loss: 319.9231 - logits_profile_predictions_loss: 282.2206 - logcount_predictions_loss: 3.5236 115/1106 [==>...........................] - ETA: 2:17 - loss: 319.7926 - logits_profile_predictions_loss: 282.1905 - logcount_predictions_loss: 3.5142 116/1106 [==>...........................] - ETA: 2:17 - loss: 319.6629 - logits_profile_predictions_loss: 282.1598 - logcount_predictions_loss: 3.5050 117/1106 [==>...........................] - ETA: 2:17 - loss: 319.5344 - logits_profile_predictions_loss: 282.1290 - logcount_predictions_loss: 3.4958 118/1106 [==>...........................] - ETA: 2:17 - loss: 319.4088 - logits_profile_predictions_loss: 282.0996 - logcount_predictions_loss: 3.4868 119/1106 [==>...........................] - ETA: 2:17 - loss: 319.2832 - logits_profile_predictions_loss: 282.0689 - logcount_predictions_loss: 3.4780 120/1106 [==>...........................] - ETA: 2:16 - loss: 319.1598 - logits_profile_predictions_loss: 282.0390 - logcount_predictions_loss: 3.4692 121/1106 [==>...........................] - ETA: 2:16 - loss: 319.0375 - logits_profile_predictions_loss: 282.0089 - logcount_predictions_loss: 3.4606 122/1106 [==>...........................] - ETA: 2:16 - loss: 318.9181 - logits_profile_predictions_loss: 281.9802 - logcount_predictions_loss: 3.4521 123/1106 [==>...........................] - ETA: 2:16 - loss: 318.7983 - logits_profile_predictions_loss: 281.9502 - logcount_predictions_loss: 3.4437 124/1106 [==>...........................] - ETA: 2:16 - loss: 318.6796 - logits_profile_predictions_loss: 281.9202 - logcount_predictions_loss: 3.4355 125/1106 [==>...........................] - ETA: 2:16 - loss: 318.5618 - logits_profile_predictions_loss: 281.8900 - logcount_predictions_loss: 3.4273 126/1106 [==>...........................] - ETA: 2:16 - loss: 318.4449 - logits_profile_predictions_loss: 281.8596 - logcount_predictions_loss: 3.4192 127/1106 [==>...........................] - ETA: 2:15 - loss: 318.3326 - logits_profile_predictions_loss: 281.8323 - logcount_predictions_loss: 3.4112 128/1106 [==>...........................] - ETA: 2:15 - loss: 318.2196 - logits_profile_predictions_loss: 281.8034 - logcount_predictions_loss: 3.4034 129/1106 [==>...........................] - ETA: 2:15 - loss: 318.1087 - logits_profile_predictions_loss: 281.7755 - logcount_predictions_loss: 3.3956 130/1106 [==>...........................] - ETA: 2:15 - loss: 317.9990 - logits_profile_predictions_loss: 281.7479 - logcount_predictions_loss: 3.3880 131/1106 [==>...........................] - ETA: 2:15 - loss: 317.8907 - logits_profile_predictions_loss: 281.7205 - logcount_predictions_loss: 3.3804 132/1106 [==>...........................] - ETA: 2:15 - loss: 317.7829 - logits_profile_predictions_loss: 281.6927 - logcount_predictions_loss: 3.3729 133/1106 [==>...........................] - ETA: 2:15 - loss: 317.6768 - logits_profile_predictions_loss: 281.6656 - logcount_predictions_loss: 3.3655 134/1106 [==>...........................] - ETA: 2:14 - loss: 317.5727 - logits_profile_predictions_loss: 281.6394 - logcount_predictions_loss: 3.3582 135/1106 [==>...........................] - ETA: 2:14 - loss: 317.4690 - logits_profile_predictions_loss: 281.6128 - logcount_predictions_loss: 3.3510 136/1106 [==>...........................] - ETA: 2:14 - loss: 317.3687 - logits_profile_predictions_loss: 281.5882 - logcount_predictions_loss: 3.3440 137/1106 [==>...........................] - ETA: 2:14 - loss: 317.2696 - logits_profile_predictions_loss: 281.5638 - logcount_predictions_loss: 3.3370 138/1106 [==>...........................] - ETA: 2:14 - loss: 317.1738 - logits_profile_predictions_loss: 281.5416 - logcount_predictions_loss: 3.3301 139/1106 [==>...........................] - ETA: 2:14 - loss: 317.0786 - logits_profile_predictions_loss: 281.5191 - logcount_predictions_loss: 3.3233 140/1106 [==>...........................] - ETA: 2:14 - loss: 316.9844 - logits_profile_predictions_loss: 281.4967 - logcount_predictions_loss: 3.3166 141/1106 [==>...........................] - ETA: 2:14 - loss: 316.8898 - logits_profile_predictions_loss: 281.4732 - logcount_predictions_loss: 3.3100 142/1106 [==>...........................] - ETA: 2:13 - loss: 316.7959 - logits_profile_predictions_loss: 281.4496 - logcount_predictions_loss: 3.3034 143/1106 [==>...........................] - ETA: 2:13 - loss: 316.7022 - logits_profile_predictions_loss: 281.4256 - logcount_predictions_loss: 3.2969 144/1106 [==>...........................] - ETA: 2:13 - loss: 316.6091 - logits_profile_predictions_loss: 281.4014 - logcount_predictions_loss: 3.2904 145/1106 [==>...........................] - ETA: 2:13 - loss: 316.5170 - logits_profile_predictions_loss: 281.3774 - logcount_predictions_loss: 3.2841 146/1106 [==>...........................] - ETA: 2:13 - loss: 316.4255 - logits_profile_predictions_loss: 281.3531 - logcount_predictions_loss: 3.2778 147/1106 [==>...........................] - ETA: 2:13 - loss: 316.3354 - logits_profile_predictions_loss: 281.3295 - logcount_predictions_loss: 3.2716 148/1106 [===>..........................] - ETA: 2:13 - loss: 316.2458 - logits_profile_predictions_loss: 281.3058 - logcount_predictions_loss: 3.2654 149/1106 [===>..........................] - ETA: 2:12 - loss: 316.1576 - logits_profile_predictions_loss: 281.2826 - logcount_predictions_loss: 3.2593 150/1106 [===>..........................] - ETA: 2:12 - loss: 316.0684 - logits_profile_predictions_loss: 281.2579 - logcount_predictions_loss: 3.2533 151/1106 [===>..........................] - ETA: 2:12 - loss: 315.9813 - logits_profile_predictions_loss: 281.2344 - logcount_predictions_loss: 3.2474 152/1106 [===>..........................] - ETA: 2:12 - loss: 315.8949 - logits_profile_predictions_loss: 281.2110 - logcount_predictions_loss: 3.2415 153/1106 [===>..........................] - ETA: 2:12 - loss: 315.8099 - logits_profile_predictions_loss: 281.1882 - logcount_predictions_loss: 3.2357 154/1106 [===>..........................] - ETA: 2:12 - loss: 315.7257 - logits_profile_predictions_loss: 281.1654 - logcount_predictions_loss: 3.2299 155/1106 [===>..........................] - ETA: 2:12 - loss: 315.6412 - logits_profile_predictions_loss: 281.1418 - logcount_predictions_loss: 3.2242 156/1106 [===>..........................] - ETA: 2:11 - loss: 315.5567 - logits_profile_predictions_loss: 281.1177 - logcount_predictions_loss: 3.2186 157/1106 [===>..........................] - ETA: 2:11 - loss: 315.4721 - logits_profile_predictions_loss: 281.0929 - logcount_predictions_loss: 3.2130 158/1106 [===>..........................] - ETA: 2:11 - loss: 315.3900 - logits_profile_predictions_loss: 281.0698 - logcount_predictions_loss: 3.2075 159/1106 [===>..........................] - ETA: 2:11 - loss: 315.3081 - logits_profile_predictions_loss: 281.0463 - logcount_predictions_loss: 3.2020 160/1106 [===>..........................] - ETA: 2:11 - loss: 315.2260 - logits_profile_predictions_loss: 281.0222 - logcount_predictions_loss: 3.1966 161/1106 [===>..........................] - ETA: 2:11 - loss: 315.1447 - logits_profile_predictions_loss: 280.9982 - logcount_predictions_loss: 3.1913 162/1106 [===>..........................] - ETA: 2:11 - loss: 315.0639 - logits_profile_predictions_loss: 280.9743 - logcount_predictions_loss: 3.1859 163/1106 [===>..........................] - ETA: 2:10 - loss: 314.9825 - logits_profile_predictions_loss: 280.9492 - logcount_predictions_loss: 3.1807 164/1106 [===>..........................] - ETA: 2:10 - loss: 314.9022 - logits_profile_predictions_loss: 280.9247 - logcount_predictions_loss: 3.1755 165/1106 [===>..........................] - ETA: 2:10 - loss: 314.8226 - logits_profile_predictions_loss: 280.9003 - logcount_predictions_loss: 3.1703 166/1106 [===>..........................] - ETA: 2:10 - loss: 314.7437 - logits_profile_predictions_loss: 280.8759 - logcount_predictions_loss: 3.1652 167/1106 [===>..........................] - ETA: 2:10 - loss: 314.6650 - logits_profile_predictions_loss: 280.8514 - logcount_predictions_loss: 3.1602 168/1106 [===>..........................] - ETA: 2:10 - loss: 314.5864 - logits_profile_predictions_loss: 280.8264 - logcount_predictions_loss: 3.1551 169/1106 [===>..........................] - ETA: 2:10 - loss: 314.5071 - logits_profile_predictions_loss: 280.8005 - logcount_predictions_loss: 3.1501 170/1106 [===>..........................] - ETA: 2:10 - loss: 314.4287 - logits_profile_predictions_loss: 280.7749 - logcount_predictions_loss: 3.1452 171/1106 [===>..........................] - ETA: 2:09 - loss: 314.3527 - logits_profile_predictions_loss: 280.7510 - logcount_predictions_loss: 3.1404 172/1106 [===>..........................] - ETA: 2:09 - loss: 314.2776 - logits_profile_predictions_loss: 280.7273 - logcount_predictions_loss: 3.1355 173/1106 [===>..........................] - ETA: 2:09 - loss: 314.2036 - logits_profile_predictions_loss: 280.7041 - logcount_predictions_loss: 3.1308 174/1106 [===>..........................] - ETA: 2:09 - loss: 314.1314 - logits_profile_predictions_loss: 280.6821 - logcount_predictions_loss: 3.1261 175/1106 [===>..........................] - ETA: 2:09 - loss: 314.0597 - logits_profile_predictions_loss: 280.6600 - logcount_predictions_loss: 3.1215 176/1106 [===>..........................] - ETA: 2:09 - loss: 313.9882 - logits_profile_predictions_loss: 280.6377 - logcount_predictions_loss: 3.1169 177/1106 [===>..........................] - ETA: 2:09 - loss: 313.9162 - logits_profile_predictions_loss: 280.6146 - logcount_predictions_loss: 3.1123 178/1106 [===>..........................] - ETA: 2:08 - loss: 313.8468 - logits_profile_predictions_loss: 280.5933 - logcount_predictions_loss: 3.1078 179/1106 [===>..........................] - ETA: 2:08 - loss: 313.7765 - logits_profile_predictions_loss: 280.5709 - logcount_predictions_loss: 3.1033 180/1106 [===>..........................] - ETA: 2:08 - loss: 313.7073 - logits_profile_predictions_loss: 280.5490 - logcount_predictions_loss: 3.0989 181/1106 [===>..........................] - ETA: 2:08 - loss: 313.6386 - logits_profile_predictions_loss: 280.5272 - logcount_predictions_loss: 3.0945 182/1106 [===>..........................] - ETA: 2:08 - loss: 313.5698 - logits_profile_predictions_loss: 280.5050 - logcount_predictions_loss: 3.0902 183/1106 [===>..........................] - ETA: 2:08 - loss: 313.5011 - logits_profile_predictions_loss: 280.4826 - logcount_predictions_loss: 3.0858 184/1106 [===>..........................] - ETA: 2:08 - loss: 313.4332 - logits_profile_predictions_loss: 280.4604 - logcount_predictions_loss: 3.0816 185/1106 [====>.........................] - ETA: 2:07 - loss: 313.3665 - logits_profile_predictions_loss: 280.4390 - logcount_predictions_loss: 3.0773 186/1106 [====>.........................] - ETA: 2:07 - loss: 313.3003 - logits_profile_predictions_loss: 280.4176 - logcount_predictions_loss: 3.0731 187/1106 [====>.........................] - ETA: 2:17 - loss: 313.2343 - logits_profile_predictions_loss: 280.3961 - logcount_predictions_loss: 3.0690 188/1106 [====>.........................] - ETA: 2:16 - loss: 313.1689 - logits_profile_predictions_loss: 280.3748 - logcount_predictions_loss: 3.0649 189/1106 [====>.........................] - ETA: 2:16 - loss: 313.1050 - logits_profile_predictions_loss: 280.3544 - logcount_predictions_loss: 3.0608 190/1106 [====>.........................] - ETA: 2:16 - loss: 313.0411 - logits_profile_predictions_loss: 280.3336 - logcount_predictions_loss: 3.0568 191/1106 [====>.........................] - ETA: 2:16 - loss: 312.9776 - logits_profile_predictions_loss: 280.3129 - logcount_predictions_loss: 3.0528 192/1106 [====>.........................] - ETA: 2:16 - loss: 312.9145 - logits_profile_predictions_loss: 280.2923 - logcount_predictions_loss: 3.0488 193/1106 [====>.........................] - ETA: 2:15 - loss: 312.8517 - logits_profile_predictions_loss: 280.2716 - logcount_predictions_loss: 3.0449 194/1106 [====>.........................] - ETA: 2:15 - loss: 312.7904 - logits_profile_predictions_loss: 280.2518 - logcount_predictions_loss: 3.0410 195/1106 [====>.........................] - ETA: 2:15 - loss: 312.7294 - logits_profile_predictions_loss: 280.2320 - logcount_predictions_loss: 3.0371 196/1106 [====>.........................] - ETA: 2:15 - loss: 312.6689 - logits_profile_predictions_loss: 280.2124 - logcount_predictions_loss: 3.0333 197/1106 [====>.........................] - ETA: 2:15 - loss: 312.6079 - logits_profile_predictions_loss: 280.1919 - logcount_predictions_loss: 3.0295 198/1106 [====>.........................] - ETA: 2:14 - loss: 312.5472 - logits_profile_predictions_loss: 280.1715 - logcount_predictions_loss: 3.0258 199/1106 [====>.........................] - ETA: 2:14 - loss: 312.4872 - logits_profile_predictions_loss: 280.1514 - logcount_predictions_loss: 3.0220 200/1106 [====>.........................] - ETA: 2:14 - loss: 312.4284 - logits_profile_predictions_loss: 280.1321 - logcount_predictions_loss: 3.0183 201/1106 [====>.........................] - ETA: 2:14 - loss: 312.3694 - logits_profile_predictions_loss: 280.1123 - logcount_predictions_loss: 3.0147 202/1106 [====>.........................] - ETA: 2:14 - loss: 312.3106 - logits_profile_predictions_loss: 280.0925 - logcount_predictions_loss: 3.0110 203/1106 [====>.........................] - ETA: 2:14 - loss: 312.2521 - logits_profile_predictions_loss: 280.0726 - logcount_predictions_loss: 3.0074 204/1106 [====>.........................] - ETA: 2:13 - loss: 312.1941 - logits_profile_predictions_loss: 280.0530 - logcount_predictions_loss: 3.0038 205/1106 [====>.........................] - ETA: 2:13 - loss: 312.1371 - logits_profile_predictions_loss: 280.0339 - logcount_predictions_loss: 3.0003 206/1106 [====>.........................] - ETA: 2:13 - loss: 312.0811 - logits_profile_predictions_loss: 280.0154 - logcount_predictions_loss: 2.9968 207/1106 [====>.........................] - ETA: 2:13 - loss: 312.0253 - logits_profile_predictions_loss: 279.9968 - logcount_predictions_loss: 2.9933 208/1106 [====>.........................] - ETA: 2:13 - loss: 311.9700 - logits_profile_predictions_loss: 279.9785 - logcount_predictions_loss: 2.9899 209/1106 [====>.........................] - ETA: 2:12 - loss: 311.9157 - logits_profile_predictions_loss: 279.9607 - logcount_predictions_loss: 2.9864 210/1106 [====>.........................] - ETA: 2:12 - loss: 311.8617 - logits_profile_predictions_loss: 279.9430 - logcount_predictions_loss: 2.9831 211/1106 [====>.........................] - ETA: 2:12 - loss: 311.8076 - logits_profile_predictions_loss: 279.9249 - logcount_predictions_loss: 2.9797 212/1106 [====>.........................] - ETA: 2:12 - loss: 311.7544 - logits_profile_predictions_loss: 279.9073 - logcount_predictions_loss: 2.9764 213/1106 [====>.........................] - ETA: 2:12 - loss: 311.7019 - logits_profile_predictions_loss: 279.8901 - logcount_predictions_loss: 2.9731 214/1106 [====>.........................] - ETA: 2:11 - loss: 311.6495 - logits_profile_predictions_loss: 279.8726 - logcount_predictions_loss: 2.9698 215/1106 [====>.........................] - ETA: 2:11 - loss: 311.5983 - logits_profile_predictions_loss: 279.8560 - logcount_predictions_loss: 2.9666 216/1106 [====>.........................] - ETA: 2:11 - loss: 311.5481 - logits_profile_predictions_loss: 279.8400 - logcount_predictions_loss: 2.9634 217/1106 [====>.........................] - ETA: 2:11 - loss: 311.4986 - logits_profile_predictions_loss: 279.8243 - logcount_predictions_loss: 2.9602 218/1106 [====>.........................] - ETA: 2:11 - loss: 311.4495 - logits_profile_predictions_loss: 279.8088 - logcount_predictions_loss: 2.9571 219/1106 [====>.........................] - ETA: 2:11 - loss: 311.4010 - logits_profile_predictions_loss: 279.7936 - logcount_predictions_loss: 2.9540 220/1106 [====>.........................] - ETA: 2:10 - loss: 311.3531 - logits_profile_predictions_loss: 279.7786 - logcount_predictions_loss: 2.9509 221/1106 [====>.........................] - ETA: 2:10 - loss: 311.3055 - logits_profile_predictions_loss: 279.7638 - logcount_predictions_loss: 2.9478 222/1106 [=====>........................] - ETA: 2:10 - loss: 311.2587 - logits_profile_predictions_loss: 279.7493 - logcount_predictions_loss: 2.9448 223/1106 [=====>........................] - ETA: 2:10 - loss: 311.2123 - logits_profile_predictions_loss: 279.7351 - logcount_predictions_loss: 2.9418 224/1106 [=====>........................] - ETA: 2:10 - loss: 311.1664 - logits_profile_predictions_loss: 279.7211 - logcount_predictions_loss: 2.9388 225/1106 [=====>........................] - ETA: 2:09 - loss: 311.1205 - logits_profile_predictions_loss: 279.7069 - logcount_predictions_loss: 2.9359 226/1106 [=====>........................] - ETA: 2:09 - loss: 311.0751 - logits_profile_predictions_loss: 279.6928 - logcount_predictions_loss: 2.9329 227/1106 [=====>........................] - ETA: 2:09 - loss: 311.0298 - logits_profile_predictions_loss: 279.6787 - logcount_predictions_loss: 2.9300 228/1106 [=====>........................] - ETA: 2:09 - loss: 310.9857 - logits_profile_predictions_loss: 279.6653 - logcount_predictions_loss: 2.9271 229/1106 [=====>........................] - ETA: 2:09 - loss: 310.9414 - logits_profile_predictions_loss: 279.6517 - logcount_predictions_loss: 2.9243 230/1106 [=====>........................] - ETA: 2:09 - loss: 310.8975 - logits_profile_predictions_loss: 279.6382 - logcount_predictions_loss: 2.9214 231/1106 [=====>........................] - ETA: 2:08 - loss: 310.8536 - logits_profile_predictions_loss: 279.6245 - logcount_predictions_loss: 2.9186 232/1106 [=====>........................] - ETA: 2:08 - loss: 310.8102 - logits_profile_predictions_loss: 279.6110 - logcount_predictions_loss: 2.9158 233/1106 [=====>........................] - ETA: 2:08 - loss: 310.7678 - logits_profile_predictions_loss: 279.5982 - logcount_predictions_loss: 2.9130 234/1106 [=====>........................] - ETA: 2:08 - loss: 310.7260 - logits_profile_predictions_loss: 279.5857 - logcount_predictions_loss: 2.9103 235/1106 [=====>........................] - ETA: 2:08 - loss: 310.6843 - logits_profile_predictions_loss: 279.5732 - logcount_predictions_loss: 2.9076 236/1106 [=====>........................] - ETA: 2:07 - loss: 310.6428 - logits_profile_predictions_loss: 279.5606 - logcount_predictions_loss: 2.9049 237/1106 [=====>........................] - ETA: 2:07 - loss: 310.6017 - logits_profile_predictions_loss: 279.5481 - logcount_predictions_loss: 2.9022 238/1106 [=====>........................] - ETA: 2:07 - loss: 310.5608 - logits_profile_predictions_loss: 279.5357 - logcount_predictions_loss: 2.8995 239/1106 [=====>........................] - ETA: 2:07 - loss: 310.5203 - logits_profile_predictions_loss: 279.5235 - logcount_predictions_loss: 2.8969 240/1106 [=====>........................] - ETA: 2:07 - loss: 310.4803 - logits_profile_predictions_loss: 279.5115 - logcount_predictions_loss: 2.8943 241/1106 [=====>........................] - ETA: 2:07 - loss: 310.4401 - logits_profile_predictions_loss: 279.4992 - logcount_predictions_loss: 2.8917 242/1106 [=====>........................] - ETA: 2:06 - loss: 310.4001 - logits_profile_predictions_loss: 279.4868 - logcount_predictions_loss: 2.8891 243/1106 [=====>........................] - ETA: 2:06 - loss: 310.3603 - logits_profile_predictions_loss: 279.4745 - logcount_predictions_loss: 2.8865 244/1106 [=====>........................] - ETA: 2:06 - loss: 310.3201 - logits_profile_predictions_loss: 279.4617 - logcount_predictions_loss: 2.8840 245/1106 [=====>........................] - ETA: 2:06 - loss: 310.2800 - logits_profile_predictions_loss: 279.4488 - logcount_predictions_loss: 2.8814 246/1106 [=====>........................] - ETA: 2:06 - loss: 310.2398 - logits_profile_predictions_loss: 279.4357 - logcount_predictions_loss: 2.8789 247/1106 [=====>........................] - ETA: 2:06 - loss: 310.1999 - logits_profile_predictions_loss: 279.4227 - logcount_predictions_loss: 2.8764 248/1106 [=====>........................] - ETA: 2:05 - loss: 310.1605 - logits_profile_predictions_loss: 279.4099 - logcount_predictions_loss: 2.8739 249/1106 [=====>........................] - ETA: 2:05 - loss: 310.1216 - logits_profile_predictions_loss: 279.3974 - logcount_predictions_loss: 2.8714 250/1106 [=====>........................] - ETA: 2:05 - loss: 310.0827 - logits_profile_predictions_loss: 279.3849 - logcount_predictions_loss: 2.8690 251/1106 [=====>........................] - ETA: 2:05 - loss: 310.0441 - logits_profile_predictions_loss: 279.3723 - logcount_predictions_loss: 2.8665 252/1106 [=====>........................] - ETA: 2:05 - loss: 310.0062 - logits_profile_predictions_loss: 279.3603 - logcount_predictions_loss: 2.8641 253/1106 [=====>........................] - ETA: 2:05 - loss: 309.9688 - logits_profile_predictions_loss: 279.3485 - logcount_predictions_loss: 2.8617 254/1106 [=====>........................] - ETA: 2:04 - loss: 309.9318 - logits_profile_predictions_loss: 279.3369 - logcount_predictions_loss: 2.8593 255/1106 [=====>........................] - ETA: 2:04 - loss: 309.8951 - logits_profile_predictions_loss: 279.3256 - logcount_predictions_loss: 2.8570 256/1106 [=====>........................] - ETA: 2:04 - loss: 309.8583 - logits_profile_predictions_loss: 279.3138 - logcount_predictions_loss: 2.8546 257/1106 [=====>........................] - ETA: 2:04 - loss: 309.8218 - logits_profile_predictions_loss: 279.3024 - logcount_predictions_loss: 2.8523 258/1106 [=====>........................] - ETA: 2:04 - loss: 309.7850 - logits_profile_predictions_loss: 279.2905 - logcount_predictions_loss: 2.8500 259/1106 [======>.......................] - ETA: 2:03 - loss: 309.7483 - logits_profile_predictions_loss: 279.2785 - logcount_predictions_loss: 2.8476 260/1106 [======>.......................] - ETA: 2:03 - loss: 309.7119 - logits_profile_predictions_loss: 279.2666 - logcount_predictions_loss: 2.8453 261/1106 [======>.......................] - ETA: 2:03 - loss: 309.6757 - logits_profile_predictions_loss: 279.2549 - logcount_predictions_loss: 2.8431 262/1106 [======>.......................] - ETA: 2:03 - loss: 309.6395 - 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[======>.......................] - ETA: 2:02 - loss: 309.3997 - logits_profile_predictions_loss: 279.1675 - logcount_predictions_loss: 2.8254 270/1106 [======>.......................] - ETA: 2:02 - loss: 309.3668 - logits_profile_predictions_loss: 279.1574 - logcount_predictions_loss: 2.8233 271/1106 [======>.......................] - ETA: 2:01 - loss: 309.3341 - logits_profile_predictions_loss: 279.1473 - logcount_predictions_loss: 2.8212 272/1106 [======>.......................] - ETA: 2:01 - loss: 309.3014 - logits_profile_predictions_loss: 279.1371 - logcount_predictions_loss: 2.8191 273/1106 [======>.......................] - ETA: 2:01 - loss: 309.2690 - logits_profile_predictions_loss: 279.1270 - logcount_predictions_loss: 2.8170 274/1106 [======>.......................] - ETA: 2:01 - loss: 309.2363 - logits_profile_predictions_loss: 279.1166 - logcount_predictions_loss: 2.8149 275/1106 [======>.......................] - ETA: 2:01 - loss: 309.2043 - 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[======>.......................] - ETA: 2:00 - loss: 308.9823 - logits_profile_predictions_loss: 279.0355 - logcount_predictions_loss: 2.7988 283/1106 [======>.......................] - ETA: 1:59 - loss: 308.9513 - logits_profile_predictions_loss: 279.0256 - logcount_predictions_loss: 2.7968 284/1106 [======>.......................] - ETA: 1:59 - loss: 308.9208 - logits_profile_predictions_loss: 279.0159 - logcount_predictions_loss: 2.7948 285/1106 [======>.......................] - ETA: 1:59 - loss: 308.8906 - logits_profile_predictions_loss: 279.0065 - logcount_predictions_loss: 2.7929 286/1106 [======>.......................] - ETA: 1:59 - loss: 308.8606 - logits_profile_predictions_loss: 278.9971 - logcount_predictions_loss: 2.7910 287/1106 [======>.......................] - ETA: 1:59 - loss: 308.8311 - logits_profile_predictions_loss: 278.9879 - logcount_predictions_loss: 2.7891 288/1106 [======>.......................] - ETA: 1:59 - loss: 308.8018 - 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logits_profile_predictions_loss: 275.4653 - logcount_predictions_loss: 2.3192 1101/1106 [============================>.] - ETA: 0s - loss: 300.2742 - logits_profile_predictions_loss: 275.4630 - logcount_predictions_loss: 2.3188 1102/1106 [============================>.] - ETA: 0s - loss: 300.2679 - logits_profile_predictions_loss: 275.4607 - logcount_predictions_loss: 2.3184 1103/1106 [============================>.] - ETA: 0s - loss: 300.2616 - logits_profile_predictions_loss: 275.4584 - logcount_predictions_loss: 2.3181 1104/1106 [============================>.] - ETA: 0s - loss: 300.2552 - logits_profile_predictions_loss: 275.4561 - logcount_predictions_loss: 2.3177 1105/1106 [============================>.] - ETA: 0s - loss: 300.2489 - logits_profile_predictions_loss: 275.4537 - logcount_predictions_loss: 2.3173 1106/1106 [==============================] - ETA: 0s - loss: 300.2425 - logits_profile_predictions_loss: 275.4514 - logcount_predictions_loss: 2.3169 1106/1106 [==============================] - 169s 148ms/step - loss: 300.2361 - logits_profile_predictions_loss: 275.4491 - logcount_predictions_loss: 2.3165 - val_loss: 282.5418 - val_logits_profile_predictions_loss: 276.7224 - val_logcount_predictions_loss: 0.5439 + +Epoch 00001: val_loss improved from inf to 282.54178, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 2/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 280.5805 - logits_profile_predictions_loss: 275.5795 - logcount_predictions_loss: 0.4674 2/1106 [..............................] - ETA: 2:34 - loss: 276.3216 - logits_profile_predictions_loss: 271.3600 - logcount_predictions_loss: 0.4637 3/1106 [..............................] - ETA: 2:33 - loss: 276.3406 - logits_profile_predictions_loss: 271.4013 - logcount_predictions_loss: 0.4616 4/1106 [..............................] - ETA: 2:33 - loss: 275.4703 - 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[..............................] - ETA: 2:32 - loss: 272.4156 - logits_profile_predictions_loss: 267.3991 - logcount_predictions_loss: 0.4688 12/1106 [..............................] - ETA: 2:31 - loss: 271.9259 - logits_profile_predictions_loss: 266.9059 - logcount_predictions_loss: 0.4692 13/1106 [..............................] - ETA: 2:31 - loss: 271.6559 - logits_profile_predictions_loss: 266.6365 - logcount_predictions_loss: 0.4691 14/1106 [..............................] - ETA: 2:31 - loss: 271.3019 - logits_profile_predictions_loss: 266.2824 - logcount_predictions_loss: 0.4691 15/1106 [..............................] - ETA: 2:31 - loss: 271.0837 - logits_profile_predictions_loss: 266.0593 - logcount_predictions_loss: 0.4696 16/1106 [..............................] - ETA: 2:31 - loss: 270.8734 - logits_profile_predictions_loss: 265.8459 - logcount_predictions_loss: 0.4699 17/1106 [..............................] - ETA: 2:31 - loss: 270.7119 - logits_profile_predictions_loss: 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[>.............................] - ETA: 2:27 - loss: 270.3554 - logits_profile_predictions_loss: 265.4331 - logcount_predictions_loss: 0.4600 45/1106 [>.............................] - ETA: 2:27 - loss: 270.3524 - logits_profile_predictions_loss: 265.4325 - logcount_predictions_loss: 0.4598 46/1106 [>.............................] - ETA: 2:27 - loss: 270.3588 - logits_profile_predictions_loss: 265.4415 - logcount_predictions_loss: 0.4596 47/1106 [>.............................] - ETA: 2:27 - loss: 270.3749 - logits_profile_predictions_loss: 265.4596 - logcount_predictions_loss: 0.4594 48/1106 [>.............................] - ETA: 2:26 - loss: 270.3840 - logits_profile_predictions_loss: 265.4702 - logcount_predictions_loss: 0.4592 49/1106 [>.............................] - ETA: 2:26 - loss: 270.4022 - logits_profile_predictions_loss: 265.4875 - logcount_predictions_loss: 0.4593 50/1106 [>.............................] - ETA: 2:26 - loss: 270.4184 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:22 - loss: 271.2350 - logits_profile_predictions_loss: 266.2982 - logcount_predictions_loss: 0.4614 78/1106 [=>............................] - ETA: 2:22 - loss: 271.2578 - logits_profile_predictions_loss: 266.3206 - logcount_predictions_loss: 0.4614 79/1106 [=>............................] - ETA: 2:22 - loss: 271.2813 - logits_profile_predictions_loss: 266.3437 - logcount_predictions_loss: 0.4615 80/1106 [=>............................] - ETA: 2:22 - loss: 271.3049 - logits_profile_predictions_loss: 266.3670 - logcount_predictions_loss: 0.4615 81/1106 [=>............................] - ETA: 2:22 - loss: 271.3303 - logits_profile_predictions_loss: 266.3921 - logcount_predictions_loss: 0.4615 82/1106 [=>............................] - ETA: 2:22 - loss: 271.3534 - logits_profile_predictions_loss: 266.4151 - logcount_predictions_loss: 0.4615 83/1106 [=>............................] - ETA: 2:22 - loss: 271.3749 - logits_profile_predictions_loss: 266.4364 - logcount_predictions_loss: 0.4615 84/1106 [=>............................] - ETA: 2:21 - loss: 271.3991 - logits_profile_predictions_loss: 266.4604 - logcount_predictions_loss: 0.4616 85/1106 [=>............................] - ETA: 2:21 - loss: 271.4214 - logits_profile_predictions_loss: 266.4826 - logcount_predictions_loss: 0.4616 86/1106 [=>............................] - ETA: 2:21 - loss: 271.4459 - logits_profile_predictions_loss: 266.5070 - logcount_predictions_loss: 0.4616 87/1106 [=>............................] - ETA: 2:21 - loss: 271.4680 - logits_profile_predictions_loss: 266.5291 - logcount_predictions_loss: 0.4616 88/1106 [=>............................] - ETA: 2:21 - loss: 271.4918 - logits_profile_predictions_loss: 266.5530 - logcount_predictions_loss: 0.4616 89/1106 [=>............................] - ETA: 2:21 - loss: 271.5172 - logits_profile_predictions_loss: 266.5786 - logcount_predictions_loss: 0.4615 90/1106 [=>............................] - ETA: 2:21 - loss: 271.5418 - logits_profile_predictions_loss: 266.6035 - logcount_predictions_loss: 0.4615 91/1106 [=>............................] - ETA: 2:21 - loss: 271.5621 - logits_profile_predictions_loss: 266.6242 - logcount_predictions_loss: 0.4615 92/1106 [=>............................] - ETA: 2:20 - loss: 271.5793 - logits_profile_predictions_loss: 266.6417 - logcount_predictions_loss: 0.4615 93/1106 [=>............................] - ETA: 2:20 - loss: 271.5966 - logits_profile_predictions_loss: 266.6592 - logcount_predictions_loss: 0.4614 94/1106 [=>............................] - ETA: 2:20 - loss: 271.6154 - logits_profile_predictions_loss: 266.6783 - logcount_predictions_loss: 0.4614 95/1106 [=>............................] - ETA: 2:20 - loss: 271.6347 - logits_profile_predictions_loss: 266.6980 - logcount_predictions_loss: 0.4614 96/1106 [=>............................] - ETA: 2:20 - loss: 271.6545 - logits_profile_predictions_loss: 266.7183 - logcount_predictions_loss: 0.4613 97/1106 [=>............................] - ETA: 2:20 - loss: 271.6779 - logits_profile_predictions_loss: 266.7421 - logcount_predictions_loss: 0.4613 98/1106 [=>............................] - ETA: 2:20 - loss: 271.7007 - logits_profile_predictions_loss: 266.7651 - logcount_predictions_loss: 0.4613 99/1106 [=>............................] - ETA: 2:19 - loss: 271.7231 - logits_profile_predictions_loss: 266.7878 - logcount_predictions_loss: 0.4612 100/1106 [=>............................] - ETA: 2:19 - loss: 271.7479 - logits_profile_predictions_loss: 266.8132 - logcount_predictions_loss: 0.4612 101/1106 [=>............................] - ETA: 2:19 - loss: 271.7713 - logits_profile_predictions_loss: 266.8372 - logcount_predictions_loss: 0.4611 102/1106 [=>............................] - ETA: 2:19 - loss: 271.7958 - logits_profile_predictions_loss: 266.8624 - logcount_predictions_loss: 0.4611 103/1106 [=>............................] - ETA: 2:19 - loss: 271.8192 - logits_profile_predictions_loss: 266.8864 - logcount_predictions_loss: 0.4610 104/1106 [=>............................] - ETA: 2:19 - loss: 271.8434 - logits_profile_predictions_loss: 266.9112 - logcount_predictions_loss: 0.4609 105/1106 [=>............................] - ETA: 2:19 - loss: 271.8686 - logits_profile_predictions_loss: 266.9371 - logcount_predictions_loss: 0.4609 106/1106 [=>............................] - ETA: 2:18 - loss: 271.8982 - logits_profile_predictions_loss: 266.9675 - logcount_predictions_loss: 0.4608 107/1106 [=>............................] - ETA: 2:18 - loss: 271.9275 - logits_profile_predictions_loss: 266.9974 - logcount_predictions_loss: 0.4608 108/1106 [=>............................] - ETA: 2:18 - loss: 271.9577 - logits_profile_predictions_loss: 267.0280 - logcount_predictions_loss: 0.4607 109/1106 [=>............................] - ETA: 2:18 - loss: 271.9892 - logits_profile_predictions_loss: 267.0601 - logcount_predictions_loss: 0.4607 110/1106 [=>............................] - ETA: 2:18 - loss: 272.0187 - logits_profile_predictions_loss: 267.0901 - logcount_predictions_loss: 0.4606 111/1106 [==>...........................] - ETA: 2:18 - loss: 272.0487 - logits_profile_predictions_loss: 267.1206 - logcount_predictions_loss: 0.4606 112/1106 [==>...........................] - ETA: 2:18 - loss: 272.0768 - logits_profile_predictions_loss: 267.1494 - logcount_predictions_loss: 0.4605 113/1106 [==>...........................] - ETA: 2:17 - loss: 272.1041 - logits_profile_predictions_loss: 267.1774 - logcount_predictions_loss: 0.4604 114/1106 [==>...........................] - ETA: 2:17 - loss: 272.1286 - logits_profile_predictions_loss: 267.2027 - logcount_predictions_loss: 0.4604 115/1106 [==>...........................] - ETA: 2:17 - loss: 272.1529 - logits_profile_predictions_loss: 267.2279 - logcount_predictions_loss: 0.4603 116/1106 [==>...........................] - ETA: 2:17 - loss: 272.1790 - logits_profile_predictions_loss: 267.2548 - logcount_predictions_loss: 0.4602 117/1106 [==>...........................] - ETA: 2:17 - loss: 272.2067 - logits_profile_predictions_loss: 267.2834 - logcount_predictions_loss: 0.4601 118/1106 [==>...........................] - ETA: 2:17 - loss: 272.2349 - logits_profile_predictions_loss: 267.3125 - logcount_predictions_loss: 0.4600 119/1106 [==>...........................] - ETA: 2:17 - loss: 272.2626 - logits_profile_predictions_loss: 267.3410 - logcount_predictions_loss: 0.4600 120/1106 [==>...........................] - ETA: 2:16 - loss: 272.2911 - logits_profile_predictions_loss: 267.3704 - logcount_predictions_loss: 0.4599 121/1106 [==>...........................] - ETA: 2:16 - loss: 272.3213 - logits_profile_predictions_loss: 267.4014 - logcount_predictions_loss: 0.4598 122/1106 [==>...........................] - ETA: 2:16 - loss: 272.3493 - logits_profile_predictions_loss: 267.4301 - logcount_predictions_loss: 0.4597 123/1106 [==>...........................] - ETA: 2:16 - loss: 272.3765 - logits_profile_predictions_loss: 267.4580 - logcount_predictions_loss: 0.4597 124/1106 [==>...........................] - ETA: 2:16 - loss: 272.4034 - logits_profile_predictions_loss: 267.4856 - logcount_predictions_loss: 0.4596 125/1106 [==>...........................] - ETA: 2:16 - loss: 272.4283 - logits_profile_predictions_loss: 267.5112 - logcount_predictions_loss: 0.4595 126/1106 [==>...........................] - ETA: 2:16 - loss: 272.4525 - logits_profile_predictions_loss: 267.5362 - logcount_predictions_loss: 0.4595 127/1106 [==>...........................] - ETA: 2:15 - loss: 272.4773 - logits_profile_predictions_loss: 267.5617 - logcount_predictions_loss: 0.4594 128/1106 [==>...........................] - ETA: 2:15 - loss: 272.5023 - logits_profile_predictions_loss: 267.5875 - logcount_predictions_loss: 0.4593 129/1106 [==>...........................] - ETA: 2:15 - loss: 272.5274 - logits_profile_predictions_loss: 267.6134 - logcount_predictions_loss: 0.4592 130/1106 [==>...........................] - ETA: 2:15 - loss: 272.5521 - logits_profile_predictions_loss: 267.6390 - logcount_predictions_loss: 0.4592 131/1106 [==>...........................] - ETA: 2:15 - loss: 272.5740 - logits_profile_predictions_loss: 267.6617 - logcount_predictions_loss: 0.4591 132/1106 [==>...........................] - ETA: 2:15 - loss: 272.5959 - logits_profile_predictions_loss: 267.6846 - logcount_predictions_loss: 0.4590 133/1106 [==>...........................] - ETA: 2:15 - loss: 272.6177 - logits_profile_predictions_loss: 267.7074 - logcount_predictions_loss: 0.4589 134/1106 [==>...........................] - ETA: 2:15 - loss: 272.6387 - logits_profile_predictions_loss: 267.7292 - logcount_predictions_loss: 0.4588 135/1106 [==>...........................] - ETA: 2:14 - loss: 272.6592 - logits_profile_predictions_loss: 267.7507 - logcount_predictions_loss: 0.4587 136/1106 [==>...........................] - ETA: 2:14 - loss: 272.6804 - logits_profile_predictions_loss: 267.7729 - logcount_predictions_loss: 0.4586 137/1106 [==>...........................] - ETA: 2:14 - loss: 272.7023 - logits_profile_predictions_loss: 267.7957 - logcount_predictions_loss: 0.4586 138/1106 [==>...........................] - ETA: 2:14 - loss: 272.7244 - logits_profile_predictions_loss: 267.8187 - logcount_predictions_loss: 0.4585 139/1106 [==>...........................] - ETA: 2:14 - loss: 272.7453 - logits_profile_predictions_loss: 267.8406 - logcount_predictions_loss: 0.4584 140/1106 [==>...........................] - ETA: 2:14 - loss: 272.7659 - logits_profile_predictions_loss: 267.8621 - logcount_predictions_loss: 0.4583 141/1106 [==>...........................] - ETA: 2:14 - loss: 272.7850 - logits_profile_predictions_loss: 267.8822 - logcount_predictions_loss: 0.4582 142/1106 [==>...........................] - ETA: 2:13 - loss: 272.8042 - logits_profile_predictions_loss: 267.9023 - logcount_predictions_loss: 0.4581 143/1106 [==>...........................] - ETA: 2:13 - loss: 272.8219 - logits_profile_predictions_loss: 267.9210 - logcount_predictions_loss: 0.4580 144/1106 [==>...........................] - ETA: 2:13 - loss: 272.8381 - logits_profile_predictions_loss: 267.9383 - logcount_predictions_loss: 0.4579 145/1106 [==>...........................] - ETA: 2:13 - loss: 272.8536 - logits_profile_predictions_loss: 267.9549 - logcount_predictions_loss: 0.4578 146/1106 [==>...........................] - ETA: 2:13 - loss: 272.8714 - logits_profile_predictions_loss: 267.9736 - logcount_predictions_loss: 0.4577 147/1106 [==>...........................] - ETA: 2:13 - loss: 272.8897 - logits_profile_predictions_loss: 267.9928 - logcount_predictions_loss: 0.4577 148/1106 [===>..........................] - ETA: 2:13 - loss: 272.9081 - logits_profile_predictions_loss: 268.0119 - logcount_predictions_loss: 0.4576 149/1106 [===>..........................] - ETA: 2:12 - loss: 272.9259 - logits_profile_predictions_loss: 268.0305 - logcount_predictions_loss: 0.4575 150/1106 [===>..........................] - ETA: 2:12 - loss: 272.9444 - logits_profile_predictions_loss: 268.0498 - logcount_predictions_loss: 0.4574 151/1106 [===>..........................] - ETA: 2:12 - loss: 272.9635 - logits_profile_predictions_loss: 268.0697 - logcount_predictions_loss: 0.4574 152/1106 [===>..........................] - ETA: 2:12 - loss: 272.9816 - logits_profile_predictions_loss: 268.0885 - logcount_predictions_loss: 0.4573 153/1106 [===>..........................] - ETA: 2:12 - loss: 272.9986 - logits_profile_predictions_loss: 268.1062 - logcount_predictions_loss: 0.4572 154/1106 [===>..........................] - ETA: 2:12 - loss: 273.0159 - logits_profile_predictions_loss: 268.1242 - logcount_predictions_loss: 0.4572 155/1106 [===>..........................] - ETA: 2:12 - loss: 273.0336 - logits_profile_predictions_loss: 268.1426 - logcount_predictions_loss: 0.4571 156/1106 [===>..........................] - ETA: 2:11 - loss: 273.0515 - logits_profile_predictions_loss: 268.1612 - logcount_predictions_loss: 0.4570 157/1106 [===>..........................] - ETA: 2:11 - loss: 273.0686 - logits_profile_predictions_loss: 268.1789 - logcount_predictions_loss: 0.4570 158/1106 [===>..........................] - ETA: 2:11 - loss: 273.0850 - logits_profile_predictions_loss: 268.1959 - logcount_predictions_loss: 0.4569 159/1106 [===>..........................] - ETA: 2:11 - loss: 273.1020 - logits_profile_predictions_loss: 268.2135 - logcount_predictions_loss: 0.4569 160/1106 [===>..........................] - ETA: 2:11 - loss: 273.1196 - logits_profile_predictions_loss: 268.2318 - logcount_predictions_loss: 0.4568 161/1106 [===>..........................] - ETA: 2:11 - loss: 273.1371 - logits_profile_predictions_loss: 268.2498 - logcount_predictions_loss: 0.4568 162/1106 [===>..........................] - ETA: 2:11 - loss: 273.1536 - logits_profile_predictions_loss: 268.2670 - logcount_predictions_loss: 0.4567 163/1106 [===>..........................] - ETA: 2:10 - loss: 273.1694 - logits_profile_predictions_loss: 268.2833 - logcount_predictions_loss: 0.4566 164/1106 [===>..........................] - ETA: 2:10 - loss: 273.1855 - logits_profile_predictions_loss: 268.3000 - logcount_predictions_loss: 0.4566 165/1106 [===>..........................] - ETA: 2:10 - loss: 273.2013 - logits_profile_predictions_loss: 268.3164 - logcount_predictions_loss: 0.4565 166/1106 [===>..........................] - ETA: 2:10 - loss: 273.2173 - logits_profile_predictions_loss: 268.3330 - logcount_predictions_loss: 0.4565 167/1106 [===>..........................] - ETA: 2:10 - loss: 273.2328 - logits_profile_predictions_loss: 268.3491 - logcount_predictions_loss: 0.4564 168/1106 [===>..........................] - ETA: 2:10 - loss: 273.2489 - logits_profile_predictions_loss: 268.3659 - logcount_predictions_loss: 0.4563 169/1106 [===>..........................] - ETA: 2:10 - loss: 273.2643 - logits_profile_predictions_loss: 268.3819 - logcount_predictions_loss: 0.4563 170/1106 [===>..........................] - ETA: 2:10 - loss: 273.2797 - logits_profile_predictions_loss: 268.3978 - logcount_predictions_loss: 0.4562 171/1106 [===>..........................] - ETA: 2:09 - loss: 273.2944 - logits_profile_predictions_loss: 268.4130 - logcount_predictions_loss: 0.4562 172/1106 [===>..........................] - ETA: 2:09 - loss: 273.3083 - logits_profile_predictions_loss: 268.4274 - logcount_predictions_loss: 0.4562 173/1106 [===>..........................] - ETA: 2:09 - loss: 273.3220 - logits_profile_predictions_loss: 268.4415 - logcount_predictions_loss: 0.4561 174/1106 [===>..........................] - ETA: 2:09 - loss: 273.3357 - logits_profile_predictions_loss: 268.4556 - logcount_predictions_loss: 0.4561 175/1106 [===>..........................] - ETA: 2:09 - loss: 273.3487 - logits_profile_predictions_loss: 268.4690 - logcount_predictions_loss: 0.4560 176/1106 [===>..........................] - ETA: 2:09 - loss: 273.3617 - logits_profile_predictions_loss: 268.4823 - logcount_predictions_loss: 0.4560 177/1106 [===>..........................] - ETA: 2:09 - loss: 273.3736 - logits_profile_predictions_loss: 268.4946 - logcount_predictions_loss: 0.4560 178/1106 [===>..........................] - ETA: 2:08 - loss: 273.3851 - logits_profile_predictions_loss: 268.5065 - logcount_predictions_loss: 0.4559 179/1106 [===>..........................] - ETA: 2:08 - loss: 273.3966 - logits_profile_predictions_loss: 268.5184 - logcount_predictions_loss: 0.4559 180/1106 [===>..........................] - ETA: 2:08 - loss: 273.4079 - logits_profile_predictions_loss: 268.5301 - logcount_predictions_loss: 0.4559 181/1106 [===>..........................] - ETA: 2:08 - loss: 273.4182 - logits_profile_predictions_loss: 268.5408 - logcount_predictions_loss: 0.4558 182/1106 [===>..........................] - ETA: 2:08 - loss: 273.4288 - logits_profile_predictions_loss: 268.5518 - logcount_predictions_loss: 0.4558 183/1106 [===>..........................] - ETA: 2:08 - loss: 273.4403 - logits_profile_predictions_loss: 268.5636 - logcount_predictions_loss: 0.4558 184/1106 [===>..........................] - ETA: 2:08 - loss: 273.4510 - logits_profile_predictions_loss: 268.5747 - logcount_predictions_loss: 0.4557 185/1106 [====>.........................] - ETA: 2:07 - loss: 273.4625 - logits_profile_predictions_loss: 268.5866 - logcount_predictions_loss: 0.4557 186/1106 [====>.........................] - ETA: 2:07 - loss: 273.4742 - logits_profile_predictions_loss: 268.5986 - logcount_predictions_loss: 0.4557 187/1106 [====>.........................] - ETA: 2:07 - loss: 273.4857 - logits_profile_predictions_loss: 268.6103 - logcount_predictions_loss: 0.4556 188/1106 [====>.........................] - ETA: 2:07 - loss: 273.4972 - logits_profile_predictions_loss: 268.6222 - logcount_predictions_loss: 0.4556 189/1106 [====>.........................] - ETA: 2:07 - loss: 273.5091 - logits_profile_predictions_loss: 268.6344 - logcount_predictions_loss: 0.4556 190/1106 [====>.........................] - ETA: 2:07 - loss: 273.5209 - logits_profile_predictions_loss: 268.6465 - logcount_predictions_loss: 0.4555 191/1106 [====>.........................] - ETA: 2:07 - loss: 273.5326 - logits_profile_predictions_loss: 268.6586 - logcount_predictions_loss: 0.4555 192/1106 [====>.........................] - ETA: 2:06 - loss: 273.5443 - logits_profile_predictions_loss: 268.6705 - logcount_predictions_loss: 0.4555 193/1106 [====>.........................] - ETA: 2:06 - loss: 273.5563 - logits_profile_predictions_loss: 268.6828 - logcount_predictions_loss: 0.4555 194/1106 [====>.........................] - ETA: 2:06 - loss: 273.5675 - logits_profile_predictions_loss: 268.6943 - logcount_predictions_loss: 0.4554 195/1106 [====>.........................] - ETA: 2:06 - loss: 273.5784 - logits_profile_predictions_loss: 268.7055 - logcount_predictions_loss: 0.4554 196/1106 [====>.........................] - ETA: 2:06 - loss: 273.5888 - logits_profile_predictions_loss: 268.7163 - logcount_predictions_loss: 0.4554 197/1106 [====>.........................] - ETA: 2:06 - loss: 273.5995 - logits_profile_predictions_loss: 268.7273 - logcount_predictions_loss: 0.4553 198/1106 [====>.........................] - ETA: 2:06 - loss: 273.6092 - logits_profile_predictions_loss: 268.7374 - logcount_predictions_loss: 0.4553 199/1106 [====>.........................] - ETA: 2:05 - loss: 273.6189 - logits_profile_predictions_loss: 268.7474 - logcount_predictions_loss: 0.4553 200/1106 [====>.........................] - ETA: 2:05 - loss: 273.6286 - logits_profile_predictions_loss: 268.7574 - logcount_predictions_loss: 0.4552 201/1106 [====>.........................] - ETA: 2:05 - loss: 273.6385 - logits_profile_predictions_loss: 268.7677 - logcount_predictions_loss: 0.4552 202/1106 [====>.........................] - ETA: 2:05 - loss: 273.6484 - logits_profile_predictions_loss: 268.7780 - logcount_predictions_loss: 0.4552 203/1106 [====>.........................] - ETA: 2:05 - loss: 273.6576 - logits_profile_predictions_loss: 268.7876 - logcount_predictions_loss: 0.4551 204/1106 [====>.........................] - ETA: 2:05 - loss: 273.6672 - logits_profile_predictions_loss: 268.7976 - logcount_predictions_loss: 0.4551 205/1106 [====>.........................] - ETA: 2:05 - loss: 273.6761 - logits_profile_predictions_loss: 268.8069 - logcount_predictions_loss: 0.4551 206/1106 [====>.........................] - ETA: 2:05 - loss: 273.6846 - logits_profile_predictions_loss: 268.8159 - logcount_predictions_loss: 0.4550 207/1106 [====>.........................] - ETA: 2:04 - loss: 273.6934 - logits_profile_predictions_loss: 268.8251 - logcount_predictions_loss: 0.4550 208/1106 [====>.........................] - ETA: 2:04 - loss: 273.7015 - logits_profile_predictions_loss: 268.8337 - logcount_predictions_loss: 0.4549 209/1106 [====>.........................] - ETA: 2:04 - loss: 273.7097 - logits_profile_predictions_loss: 268.8423 - logcount_predictions_loss: 0.4549 210/1106 [====>.........................] - ETA: 2:04 - loss: 273.7177 - logits_profile_predictions_loss: 268.8508 - logcount_predictions_loss: 0.4549 211/1106 [====>.........................] - ETA: 2:04 - loss: 273.7254 - logits_profile_predictions_loss: 268.8588 - logcount_predictions_loss: 0.4548 212/1106 [====>.........................] - ETA: 2:04 - loss: 273.7333 - logits_profile_predictions_loss: 268.8672 - logcount_predictions_loss: 0.4548 213/1106 [====>.........................] - ETA: 2:04 - loss: 273.7414 - logits_profile_predictions_loss: 268.8757 - logcount_predictions_loss: 0.4547 214/1106 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loss: 273.9329 - logits_profile_predictions_loss: 269.3669 - logcount_predictions_loss: 0.4267 1085/1106 [============================>.] - ETA: 2s - loss: 273.9317 - logits_profile_predictions_loss: 269.3660 - logcount_predictions_loss: 0.4267 1086/1106 [============================>.] - ETA: 2s - loss: 273.9305 - logits_profile_predictions_loss: 269.3651 - logcount_predictions_loss: 0.4267 1087/1106 [============================>.] - ETA: 2s - loss: 273.9293 - logits_profile_predictions_loss: 269.3642 - logcount_predictions_loss: 0.4266 1088/1106 [============================>.] - ETA: 2s - loss: 273.9281 - logits_profile_predictions_loss: 269.3632 - logcount_predictions_loss: 0.4266 1089/1106 [============================>.] - ETA: 2s - loss: 273.9269 - logits_profile_predictions_loss: 269.3623 - logcount_predictions_loss: 0.4266 1090/1106 [============================>.] - ETA: 2s - loss: 273.9258 - logits_profile_predictions_loss: 269.3614 - logcount_predictions_loss: 0.4266 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logits_profile_predictions_loss: 269.3552 - logcount_predictions_loss: 0.4264 1098/1106 [============================>.] - ETA: 1s - loss: 273.9166 - logits_profile_predictions_loss: 269.3543 - logcount_predictions_loss: 0.4264 1099/1106 [============================>.] - ETA: 0s - loss: 273.9154 - logits_profile_predictions_loss: 269.3534 - logcount_predictions_loss: 0.4264 1100/1106 [============================>.] - ETA: 0s - loss: 273.9143 - logits_profile_predictions_loss: 269.3525 - logcount_predictions_loss: 0.4263 1101/1106 [============================>.] - ETA: 0s - loss: 273.9132 - logits_profile_predictions_loss: 269.3517 - logcount_predictions_loss: 0.4263 1102/1106 [============================>.] - ETA: 0s - loss: 273.9120 - logits_profile_predictions_loss: 269.3508 - logcount_predictions_loss: 0.4263 1103/1106 [============================>.] - ETA: 0s - loss: 273.9109 - logits_profile_predictions_loss: 269.3499 - logcount_predictions_loss: 0.4263 1104/1106 [============================>.] - ETA: 0s - loss: 273.9097 - logits_profile_predictions_loss: 269.3490 - logcount_predictions_loss: 0.4262 1105/1106 [============================>.] - ETA: 0s - loss: 273.9085 - logits_profile_predictions_loss: 269.3480 - logcount_predictions_loss: 0.4262 1106/1106 [==============================] - ETA: 0s - loss: 273.9073 - logits_profile_predictions_loss: 269.3471 - logcount_predictions_loss: 0.4262 1106/1106 [==============================] - 160s 145ms/step - loss: 273.9061 - logits_profile_predictions_loss: 269.3461 - logcount_predictions_loss: 0.4262 - val_loss: 277.1832 - val_logits_profile_predictions_loss: 273.1443 - val_logcount_predictions_loss: 0.3775 + +Epoch 00002: val_loss improved from 282.54178 to 277.18317, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 3/50 + 1/1106 [..............................] - ETA: 2:47 - loss: 250.7188 - logits_profile_predictions_loss: 247.2913 - logcount_predictions_loss: 0.3203 2/1106 [..............................] - ETA: 2:33 - loss: 252.5098 - logits_profile_predictions_loss: 249.0981 - logcount_predictions_loss: 0.3189 3/1106 [..............................] - ETA: 2:33 - loss: 252.8590 - logits_profile_predictions_loss: 249.3631 - logcount_predictions_loss: 0.3267 4/1106 [..............................] - ETA: 2:33 - loss: 254.5223 - logits_profile_predictions_loss: 250.9893 - logcount_predictions_loss: 0.3302 5/1106 [..............................] - ETA: 2:33 - loss: 256.4556 - logits_profile_predictions_loss: 252.8815 - logcount_predictions_loss: 0.3340 6/1106 [..............................] - ETA: 2:32 - loss: 258.1021 - logits_profile_predictions_loss: 254.4652 - logcount_predictions_loss: 0.3399 7/1106 [..............................] - ETA: 2:32 - loss: 259.3863 - logits_profile_predictions_loss: 255.7186 - logcount_predictions_loss: 0.3428 8/1106 [..............................] - ETA: 2:32 - loss: 260.4013 - logits_profile_predictions_loss: 256.7113 - logcount_predictions_loss: 0.3449 9/1106 [..............................] - ETA: 2:32 - loss: 261.4605 - logits_profile_predictions_loss: 257.7458 - logcount_predictions_loss: 0.3472 10/1106 [..............................] - ETA: 2:32 - loss: 262.0506 - logits_profile_predictions_loss: 258.3109 - logcount_predictions_loss: 0.3495 11/1106 [..............................] - ETA: 2:32 - loss: 262.6626 - logits_profile_predictions_loss: 258.9040 - logcount_predictions_loss: 0.3513 12/1106 [..............................] - ETA: 2:31 - loss: 263.2140 - logits_profile_predictions_loss: 259.4357 - logcount_predictions_loss: 0.3531 13/1106 [..............................] - ETA: 2:31 - loss: 263.6773 - logits_profile_predictions_loss: 259.8826 - logcount_predictions_loss: 0.3546 14/1106 [..............................] - ETA: 2:31 - loss: 264.1323 - logits_profile_predictions_loss: 260.3282 - logcount_predictions_loss: 0.3555 15/1106 [..............................] - ETA: 2:31 - loss: 264.5582 - logits_profile_predictions_loss: 260.7469 - logcount_predictions_loss: 0.3562 16/1106 [..............................] - ETA: 2:31 - loss: 264.8564 - logits_profile_predictions_loss: 261.0328 - logcount_predictions_loss: 0.3573 17/1106 [..............................] - ETA: 2:31 - loss: 265.0905 - logits_profile_predictions_loss: 261.2532 - logcount_predictions_loss: 0.3586 18/1106 [..............................] - ETA: 2:30 - loss: 265.1871 - logits_profile_predictions_loss: 261.3385 - logcount_predictions_loss: 0.3597 19/1106 [..............................] - ETA: 2:30 - loss: 265.3645 - logits_profile_predictions_loss: 261.5018 - logcount_predictions_loss: 0.3610 20/1106 [..............................] - ETA: 2:30 - loss: 265.5373 - logits_profile_predictions_loss: 261.6633 - logcount_predictions_loss: 0.3621 21/1106 [..............................] - ETA: 2:30 - loss: 265.7254 - logits_profile_predictions_loss: 261.8409 - logcount_predictions_loss: 0.3630 22/1106 [..............................] - ETA: 2:30 - loss: 265.9357 - logits_profile_predictions_loss: 262.0411 - logcount_predictions_loss: 0.3640 23/1106 [..............................] - ETA: 2:30 - loss: 266.1482 - logits_profile_predictions_loss: 262.2450 - logcount_predictions_loss: 0.3648 24/1106 [..............................] - ETA: 2:30 - loss: 266.3592 - logits_profile_predictions_loss: 262.4482 - logcount_predictions_loss: 0.3655 25/1106 [..............................] - ETA: 2:29 - loss: 266.5508 - logits_profile_predictions_loss: 262.6344 - logcount_predictions_loss: 0.3660 26/1106 [..............................] - ETA: 2:29 - loss: 266.7401 - logits_profile_predictions_loss: 262.8175 - logcount_predictions_loss: 0.3666 27/1106 [..............................] - ETA: 2:29 - loss: 266.9387 - logits_profile_predictions_loss: 263.0110 - logcount_predictions_loss: 0.3671 28/1106 [..............................] - ETA: 2:29 - loss: 267.0821 - logits_profile_predictions_loss: 263.1520 - logcount_predictions_loss: 0.3673 29/1106 [..............................] - ETA: 2:29 - loss: 267.2130 - logits_profile_predictions_loss: 263.2807 - logcount_predictions_loss: 0.3675 30/1106 [..............................] - ETA: 2:29 - loss: 267.3718 - logits_profile_predictions_loss: 263.4383 - logcount_predictions_loss: 0.3676 31/1106 [..............................] - ETA: 2:29 - loss: 267.4923 - logits_profile_predictions_loss: 263.5576 - logcount_predictions_loss: 0.3677 32/1106 [..............................] - ETA: 2:28 - loss: 267.6112 - logits_profile_predictions_loss: 263.6748 - logcount_predictions_loss: 0.3679 33/1106 [..............................] - ETA: 2:28 - loss: 267.7193 - logits_profile_predictions_loss: 263.7817 - logcount_predictions_loss: 0.3680 34/1106 [..............................] - ETA: 2:28 - loss: 267.8175 - logits_profile_predictions_loss: 263.8786 - logcount_predictions_loss: 0.3681 35/1106 [..............................] - ETA: 2:28 - loss: 267.8989 - logits_profile_predictions_loss: 263.9587 - logcount_predictions_loss: 0.3682 36/1106 [..............................] - ETA: 2:28 - loss: 267.9850 - logits_profile_predictions_loss: 264.0444 - logcount_predictions_loss: 0.3683 37/1106 [>.............................] - ETA: 2:28 - loss: 268.0762 - logits_profile_predictions_loss: 264.1358 - logcount_predictions_loss: 0.3683 38/1106 [>.............................] - ETA: 2:28 - loss: 268.1547 - logits_profile_predictions_loss: 264.2154 - logcount_predictions_loss: 0.3682 39/1106 [>.............................] - ETA: 2:27 - loss: 268.2450 - logits_profile_predictions_loss: 264.3066 - logcount_predictions_loss: 0.3681 40/1106 [>.............................] - ETA: 2:27 - loss: 268.3285 - logits_profile_predictions_loss: 264.3908 - logcount_predictions_loss: 0.3680 41/1106 [>.............................] - ETA: 2:27 - loss: 268.4084 - logits_profile_predictions_loss: 264.4712 - logcount_predictions_loss: 0.3680 42/1106 [>.............................] - ETA: 2:27 - loss: 268.4802 - logits_profile_predictions_loss: 264.5441 - logcount_predictions_loss: 0.3679 43/1106 [>.............................] - ETA: 2:27 - loss: 268.5474 - logits_profile_predictions_loss: 264.6110 - logcount_predictions_loss: 0.3679 44/1106 [>.............................] - ETA: 2:27 - loss: 268.5966 - logits_profile_predictions_loss: 264.6601 - logcount_predictions_loss: 0.3679 45/1106 [>.............................] - ETA: 2:27 - loss: 268.6475 - logits_profile_predictions_loss: 264.7108 - logcount_predictions_loss: 0.3679 46/1106 [>.............................] - ETA: 2:26 - loss: 268.6981 - logits_profile_predictions_loss: 264.7610 - logcount_predictions_loss: 0.3680 47/1106 [>.............................] - ETA: 2:26 - loss: 268.7466 - logits_profile_predictions_loss: 264.8087 - logcount_predictions_loss: 0.3680 48/1106 [>.............................] - ETA: 2:26 - loss: 268.8099 - logits_profile_predictions_loss: 264.8712 - logcount_predictions_loss: 0.3681 49/1106 [>.............................] - ETA: 2:26 - loss: 268.8579 - logits_profile_predictions_loss: 264.9179 - logcount_predictions_loss: 0.3682 50/1106 [>.............................] - ETA: 2:26 - loss: 268.9020 - logits_profile_predictions_loss: 264.9610 - logcount_predictions_loss: 0.3683 51/1106 [>.............................] - ETA: 2:26 - loss: 268.9478 - logits_profile_predictions_loss: 265.0056 - logcount_predictions_loss: 0.3684 52/1106 [>.............................] - ETA: 2:26 - loss: 268.9873 - logits_profile_predictions_loss: 265.0437 - logcount_predictions_loss: 0.3686 53/1106 [>.............................] - ETA: 2:25 - loss: 269.0158 - logits_profile_predictions_loss: 265.0711 - logcount_predictions_loss: 0.3687 54/1106 [>.............................] - ETA: 2:26 - loss: 269.0447 - logits_profile_predictions_loss: 265.0990 - logcount_predictions_loss: 0.3688 55/1106 [>.............................] - ETA: 2:26 - loss: 269.0798 - logits_profile_predictions_loss: 265.1330 - logcount_predictions_loss: 0.3689 56/1106 [>.............................] - ETA: 2:25 - loss: 269.1114 - logits_profile_predictions_loss: 265.1638 - logcount_predictions_loss: 0.3689 57/1106 [>.............................] - ETA: 2:25 - loss: 269.1444 - logits_profile_predictions_loss: 265.1961 - logcount_predictions_loss: 0.3690 58/1106 [>.............................] - ETA: 2:25 - loss: 269.1727 - logits_profile_predictions_loss: 265.2240 - logcount_predictions_loss: 0.3690 59/1106 [>.............................] - ETA: 2:25 - loss: 269.2083 - logits_profile_predictions_loss: 265.2596 - logcount_predictions_loss: 0.3690 60/1106 [>.............................] - ETA: 2:25 - loss: 269.2427 - logits_profile_predictions_loss: 265.2938 - logcount_predictions_loss: 0.3691 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logits_profile_predictions_loss: 265.5113 - logcount_predictions_loss: 0.3688 68/1106 [>.............................] - ETA: 2:24 - loss: 269.4863 - logits_profile_predictions_loss: 265.5416 - logcount_predictions_loss: 0.3687 69/1106 [>.............................] - ETA: 2:24 - loss: 269.5188 - logits_profile_predictions_loss: 265.5750 - logcount_predictions_loss: 0.3686 70/1106 [>.............................] - ETA: 2:23 - loss: 269.5529 - logits_profile_predictions_loss: 265.6100 - logcount_predictions_loss: 0.3685 71/1106 [>.............................] - ETA: 2:23 - loss: 269.5878 - logits_profile_predictions_loss: 265.6458 - logcount_predictions_loss: 0.3684 72/1106 [>.............................] - ETA: 2:23 - loss: 269.6202 - logits_profile_predictions_loss: 265.6792 - logcount_predictions_loss: 0.3683 73/1106 [>.............................] - ETA: 2:23 - loss: 269.6488 - logits_profile_predictions_loss: 265.7086 - logcount_predictions_loss: 0.3683 74/1106 [=>............................] - ETA: 2:23 - loss: 269.6807 - logits_profile_predictions_loss: 265.7411 - logcount_predictions_loss: 0.3682 75/1106 [=>............................] - ETA: 2:23 - loss: 269.7060 - logits_profile_predictions_loss: 265.7671 - logcount_predictions_loss: 0.3681 76/1106 [=>............................] - ETA: 2:23 - loss: 269.7327 - logits_profile_predictions_loss: 265.7948 - logcount_predictions_loss: 0.3680 77/1106 [=>............................] - ETA: 2:22 - loss: 269.7550 - logits_profile_predictions_loss: 265.8180 - logcount_predictions_loss: 0.3679 78/1106 [=>............................] - ETA: 2:22 - loss: 269.7737 - logits_profile_predictions_loss: 265.8377 - logcount_predictions_loss: 0.3679 79/1106 [=>............................] - ETA: 2:22 - loss: 269.7939 - logits_profile_predictions_loss: 265.8589 - logcount_predictions_loss: 0.3678 80/1106 [=>............................] - ETA: 2:22 - loss: 269.8140 - logits_profile_predictions_loss: 265.8799 - logcount_predictions_loss: 0.3677 81/1106 [=>............................] - ETA: 2:22 - loss: 269.8317 - logits_profile_predictions_loss: 265.8987 - logcount_predictions_loss: 0.3676 82/1106 [=>............................] - ETA: 2:22 - loss: 269.8512 - logits_profile_predictions_loss: 265.9191 - logcount_predictions_loss: 0.3675 83/1106 [=>............................] - ETA: 2:22 - loss: 269.8668 - logits_profile_predictions_loss: 265.9356 - logcount_predictions_loss: 0.3674 84/1106 [=>............................] - ETA: 2:21 - loss: 269.8794 - logits_profile_predictions_loss: 265.9493 - logcount_predictions_loss: 0.3673 85/1106 [=>............................] - ETA: 2:21 - loss: 269.8879 - logits_profile_predictions_loss: 265.9589 - logcount_predictions_loss: 0.3672 86/1106 [=>............................] - ETA: 2:21 - loss: 269.8971 - logits_profile_predictions_loss: 265.9692 - logcount_predictions_loss: 0.3671 87/1106 [=>............................] - ETA: 2:21 - loss: 269.9042 - logits_profile_predictions_loss: 265.9774 - logcount_predictions_loss: 0.3670 88/1106 [=>............................] - ETA: 2:21 - loss: 269.9117 - logits_profile_predictions_loss: 265.9859 - logcount_predictions_loss: 0.3669 89/1106 [=>............................] - ETA: 2:21 - loss: 269.9188 - logits_profile_predictions_loss: 265.9940 - logcount_predictions_loss: 0.3668 90/1106 [=>............................] - ETA: 2:21 - loss: 269.9274 - logits_profile_predictions_loss: 266.0036 - logcount_predictions_loss: 0.3667 91/1106 [=>............................] - ETA: 2:20 - loss: 269.9372 - logits_profile_predictions_loss: 266.0145 - logcount_predictions_loss: 0.3666 92/1106 [=>............................] - ETA: 2:20 - loss: 269.9449 - logits_profile_predictions_loss: 266.0234 - logcount_predictions_loss: 0.3665 93/1106 [=>............................] - ETA: 2:20 - loss: 269.9526 - logits_profile_predictions_loss: 266.0321 - logcount_predictions_loss: 0.3664 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logits_profile_predictions_loss: 266.1098 - logcount_predictions_loss: 0.3658 101/1106 [=>............................] - ETA: 2:19 - loss: 270.0371 - logits_profile_predictions_loss: 266.1239 - logcount_predictions_loss: 0.3657 102/1106 [=>............................] - ETA: 2:19 - loss: 270.0532 - logits_profile_predictions_loss: 266.1410 - logcount_predictions_loss: 0.3656 103/1106 [=>............................] - ETA: 2:19 - loss: 270.0724 - logits_profile_predictions_loss: 266.1611 - logcount_predictions_loss: 0.3655 104/1106 [=>............................] - ETA: 2:19 - loss: 270.0899 - logits_profile_predictions_loss: 266.1795 - logcount_predictions_loss: 0.3655 105/1106 [=>............................] - ETA: 2:18 - loss: 270.1098 - logits_profile_predictions_loss: 266.2004 - logcount_predictions_loss: 0.3654 106/1106 [=>............................] - ETA: 2:18 - loss: 270.1299 - logits_profile_predictions_loss: 266.2214 - logcount_predictions_loss: 0.3653 107/1106 [=>............................] - ETA: 2:18 - loss: 270.1488 - logits_profile_predictions_loss: 266.2411 - logcount_predictions_loss: 0.3652 108/1106 [=>............................] - ETA: 2:18 - loss: 270.1672 - logits_profile_predictions_loss: 266.2605 - logcount_predictions_loss: 0.3651 109/1106 [=>............................] - ETA: 2:18 - loss: 270.1840 - logits_profile_predictions_loss: 266.2781 - logcount_predictions_loss: 0.3650 110/1106 [=>............................] - ETA: 2:18 - loss: 270.1994 - logits_profile_predictions_loss: 266.2943 - logcount_predictions_loss: 0.3650 111/1106 [==>...........................] - ETA: 2:18 - loss: 270.2131 - logits_profile_predictions_loss: 266.3090 - logcount_predictions_loss: 0.3649 112/1106 [==>...........................] - ETA: 2:17 - loss: 270.2275 - logits_profile_predictions_loss: 266.3243 - logcount_predictions_loss: 0.3648 113/1106 [==>...........................] - ETA: 2:17 - loss: 270.2424 - logits_profile_predictions_loss: 266.3402 - logcount_predictions_loss: 0.3647 114/1106 [==>...........................] - ETA: 2:17 - loss: 270.2527 - logits_profile_predictions_loss: 266.3515 - logcount_predictions_loss: 0.3646 115/1106 [==>...........................] - ETA: 2:17 - loss: 270.2617 - logits_profile_predictions_loss: 266.3615 - logcount_predictions_loss: 0.3645 116/1106 [==>...........................] - ETA: 2:17 - loss: 270.2720 - logits_profile_predictions_loss: 266.3728 - logcount_predictions_loss: 0.3644 117/1106 [==>...........................] - ETA: 2:17 - loss: 270.2808 - logits_profile_predictions_loss: 266.3825 - logcount_predictions_loss: 0.3643 118/1106 [==>...........................] - ETA: 2:17 - loss: 270.2875 - logits_profile_predictions_loss: 266.3901 - logcount_predictions_loss: 0.3642 119/1106 [==>...........................] - ETA: 2:16 - loss: 270.2950 - logits_profile_predictions_loss: 266.3986 - logcount_predictions_loss: 0.3642 120/1106 [==>...........................] - ETA: 2:16 - loss: 270.3029 - logits_profile_predictions_loss: 266.4074 - logcount_predictions_loss: 0.3641 121/1106 [==>...........................] - ETA: 2:16 - loss: 270.3108 - logits_profile_predictions_loss: 266.4162 - logcount_predictions_loss: 0.3640 122/1106 [==>...........................] - ETA: 2:16 - loss: 270.3160 - logits_profile_predictions_loss: 266.4223 - logcount_predictions_loss: 0.3639 123/1106 [==>...........................] - ETA: 2:16 - loss: 270.3206 - logits_profile_predictions_loss: 266.4277 - logcount_predictions_loss: 0.3638 124/1106 [==>...........................] - ETA: 2:16 - loss: 270.3247 - logits_profile_predictions_loss: 266.4327 - logcount_predictions_loss: 0.3637 125/1106 [==>...........................] - ETA: 2:16 - loss: 270.3292 - logits_profile_predictions_loss: 266.4380 - logcount_predictions_loss: 0.3637 126/1106 [==>...........................] - ETA: 2:15 - loss: 270.3334 - logits_profile_predictions_loss: 266.4431 - logcount_predictions_loss: 0.3636 127/1106 [==>...........................] - ETA: 2:15 - loss: 270.3377 - logits_profile_predictions_loss: 266.4483 - logcount_predictions_loss: 0.3635 128/1106 [==>...........................] - ETA: 2:15 - loss: 270.3413 - logits_profile_predictions_loss: 266.4527 - logcount_predictions_loss: 0.3634 129/1106 [==>...........................] - ETA: 2:15 - loss: 270.3455 - logits_profile_predictions_loss: 266.4576 - logcount_predictions_loss: 0.3634 130/1106 [==>...........................] - ETA: 2:15 - loss: 270.3500 - logits_profile_predictions_loss: 266.4629 - logcount_predictions_loss: 0.3633 131/1106 [==>...........................] - ETA: 2:15 - loss: 270.3535 - logits_profile_predictions_loss: 266.4671 - logcount_predictions_loss: 0.3632 132/1106 [==>...........................] - ETA: 2:15 - loss: 270.3563 - logits_profile_predictions_loss: 266.4706 - logcount_predictions_loss: 0.3631 133/1106 [==>...........................] - ETA: 2:15 - loss: 270.3585 - logits_profile_predictions_loss: 266.4736 - logcount_predictions_loss: 0.3631 134/1106 [==>...........................] - ETA: 2:14 - loss: 270.3598 - logits_profile_predictions_loss: 266.4757 - logcount_predictions_loss: 0.3630 135/1106 [==>...........................] - ETA: 2:14 - loss: 270.3608 - logits_profile_predictions_loss: 266.4774 - logcount_predictions_loss: 0.3629 136/1106 [==>...........................] - ETA: 2:14 - loss: 270.3623 - logits_profile_predictions_loss: 266.4796 - logcount_predictions_loss: 0.3629 137/1106 [==>...........................] - ETA: 2:14 - loss: 270.3636 - logits_profile_predictions_loss: 266.4816 - logcount_predictions_loss: 0.3628 138/1106 [==>...........................] - ETA: 2:14 - loss: 270.3647 - logits_profile_predictions_loss: 266.4834 - logcount_predictions_loss: 0.3627 139/1106 [==>...........................] - ETA: 2:14 - loss: 270.3647 - logits_profile_predictions_loss: 266.4841 - logcount_predictions_loss: 0.3627 140/1106 [==>...........................] - ETA: 2:14 - loss: 270.3626 - logits_profile_predictions_loss: 266.4828 - logcount_predictions_loss: 0.3626 141/1106 [==>...........................] - ETA: 2:13 - loss: 270.3617 - logits_profile_predictions_loss: 266.4825 - logcount_predictions_loss: 0.3625 142/1106 [==>...........................] - ETA: 2:13 - loss: 270.3614 - logits_profile_predictions_loss: 266.4828 - logcount_predictions_loss: 0.3625 143/1106 [==>...........................] - ETA: 2:13 - loss: 270.3618 - logits_profile_predictions_loss: 266.4840 - logcount_predictions_loss: 0.3624 144/1106 [==>...........................] - ETA: 2:13 - loss: 270.3630 - logits_profile_predictions_loss: 266.4858 - logcount_predictions_loss: 0.3624 145/1106 [==>...........................] - ETA: 2:13 - loss: 270.3633 - logits_profile_predictions_loss: 266.4867 - logcount_predictions_loss: 0.3623 146/1106 [==>...........................] - ETA: 2:13 - loss: 270.3644 - logits_profile_predictions_loss: 266.4884 - logcount_predictions_loss: 0.3622 147/1106 [==>...........................] - ETA: 2:13 - loss: 270.3651 - logits_profile_predictions_loss: 266.4897 - logcount_predictions_loss: 0.3622 148/1106 [===>..........................] - ETA: 2:12 - loss: 270.3648 - logits_profile_predictions_loss: 266.4900 - logcount_predictions_loss: 0.3621 149/1106 [===>..........................] - ETA: 2:12 - loss: 270.3662 - logits_profile_predictions_loss: 266.4920 - logcount_predictions_loss: 0.3621 150/1106 [===>..........................] - ETA: 2:12 - loss: 270.3674 - logits_profile_predictions_loss: 266.4938 - logcount_predictions_loss: 0.3620 151/1106 [===>..........................] - ETA: 2:12 - loss: 270.3690 - logits_profile_predictions_loss: 266.4959 - logcount_predictions_loss: 0.3620 152/1106 [===>..........................] - ETA: 2:12 - loss: 270.3706 - logits_profile_predictions_loss: 266.4981 - logcount_predictions_loss: 0.3619 153/1106 [===>..........................] - ETA: 2:12 - loss: 270.3720 - logits_profile_predictions_loss: 266.4999 - logcount_predictions_loss: 0.3619 154/1106 [===>..........................] - ETA: 2:12 - loss: 270.3728 - logits_profile_predictions_loss: 266.5011 - logcount_predictions_loss: 0.3618 155/1106 [===>..........................] - ETA: 2:11 - loss: 270.3734 - logits_profile_predictions_loss: 266.5021 - logcount_predictions_loss: 0.3618 156/1106 [===>..........................] - ETA: 2:11 - loss: 270.3740 - logits_profile_predictions_loss: 266.5030 - logcount_predictions_loss: 0.3618 157/1106 [===>..........................] - ETA: 2:11 - loss: 270.3754 - logits_profile_predictions_loss: 266.5048 - logcount_predictions_loss: 0.3617 158/1106 [===>..........................] - ETA: 2:11 - loss: 270.3772 - logits_profile_predictions_loss: 266.5068 - logcount_predictions_loss: 0.3617 159/1106 [===>..........................] - ETA: 2:11 - loss: 270.3791 - logits_profile_predictions_loss: 266.5091 - logcount_predictions_loss: 0.3617 160/1106 [===>..........................] - ETA: 2:11 - loss: 270.3809 - logits_profile_predictions_loss: 266.5112 - logcount_predictions_loss: 0.3617 161/1106 [===>..........................] - ETA: 2:11 - loss: 270.3826 - logits_profile_predictions_loss: 266.5133 - logcount_predictions_loss: 0.3616 162/1106 [===>..........................] - ETA: 2:10 - loss: 270.3845 - logits_profile_predictions_loss: 266.5155 - logcount_predictions_loss: 0.3616 163/1106 [===>..........................] - ETA: 2:10 - loss: 270.3862 - logits_profile_predictions_loss: 266.5175 - logcount_predictions_loss: 0.3616 164/1106 [===>..........................] - ETA: 2:10 - loss: 270.3866 - logits_profile_predictions_loss: 266.5184 - logcount_predictions_loss: 0.3615 165/1106 [===>..........................] - ETA: 2:10 - loss: 270.3869 - logits_profile_predictions_loss: 266.5190 - logcount_predictions_loss: 0.3615 166/1106 [===>..........................] - ETA: 2:10 - loss: 270.3871 - logits_profile_predictions_loss: 266.5196 - logcount_predictions_loss: 0.3615 167/1106 [===>..........................] - ETA: 2:10 - loss: 270.3867 - logits_profile_predictions_loss: 266.5196 - logcount_predictions_loss: 0.3614 168/1106 [===>..........................] - ETA: 2:10 - loss: 270.3860 - logits_profile_predictions_loss: 266.5193 - logcount_predictions_loss: 0.3614 169/1106 [===>..........................] - ETA: 2:10 - loss: 270.3846 - logits_profile_predictions_loss: 266.5182 - logcount_predictions_loss: 0.3613 170/1106 [===>..........................] - ETA: 2:09 - loss: 270.3830 - logits_profile_predictions_loss: 266.5170 - logcount_predictions_loss: 0.3613 171/1106 [===>..........................] - ETA: 2:09 - loss: 270.3805 - logits_profile_predictions_loss: 266.5148 - logcount_predictions_loss: 0.3613 172/1106 [===>..........................] - ETA: 2:09 - loss: 270.3782 - logits_profile_predictions_loss: 266.5129 - logcount_predictions_loss: 0.3612 173/1106 [===>..........................] - ETA: 2:09 - loss: 270.3757 - logits_profile_predictions_loss: 266.5108 - logcount_predictions_loss: 0.3612 174/1106 [===>..........................] - ETA: 2:09 - loss: 270.3730 - logits_profile_predictions_loss: 266.5084 - logcount_predictions_loss: 0.3612 175/1106 [===>..........................] - ETA: 2:09 - loss: 270.3706 - logits_profile_predictions_loss: 266.5062 - logcount_predictions_loss: 0.3612 176/1106 [===>..........................] - ETA: 2:09 - loss: 270.3690 - logits_profile_predictions_loss: 266.5050 - logcount_predictions_loss: 0.3611 177/1106 [===>..........................] - ETA: 2:08 - loss: 270.3679 - logits_profile_predictions_loss: 266.5041 - logcount_predictions_loss: 0.3611 178/1106 [===>..........................] - ETA: 2:08 - loss: 270.3663 - logits_profile_predictions_loss: 266.5028 - logcount_predictions_loss: 0.3611 179/1106 [===>..........................] - ETA: 2:08 - loss: 270.3646 - logits_profile_predictions_loss: 266.5013 - logcount_predictions_loss: 0.3611 180/1106 [===>..........................] - ETA: 2:08 - loss: 270.3636 - logits_profile_predictions_loss: 266.5007 - logcount_predictions_loss: 0.3610 181/1106 [===>..........................] - ETA: 2:08 - loss: 270.3636 - logits_profile_predictions_loss: 266.5009 - logcount_predictions_loss: 0.3610 182/1106 [===>..........................] - ETA: 2:08 - loss: 270.3647 - logits_profile_predictions_loss: 266.5023 - logcount_predictions_loss: 0.3610 183/1106 [===>..........................] - ETA: 2:08 - loss: 270.3656 - logits_profile_predictions_loss: 266.5034 - logcount_predictions_loss: 0.3610 184/1106 [===>..........................] - ETA: 2:07 - loss: 270.3668 - logits_profile_predictions_loss: 266.5048 - logcount_predictions_loss: 0.3609 185/1106 [====>.........................] - ETA: 2:07 - loss: 270.3687 - logits_profile_predictions_loss: 266.5069 - logcount_predictions_loss: 0.3609 186/1106 [====>.........................] - ETA: 2:07 - loss: 270.3704 - logits_profile_predictions_loss: 266.5088 - logcount_predictions_loss: 0.3609 187/1106 [====>.........................] - ETA: 2:07 - loss: 270.3718 - logits_profile_predictions_loss: 266.5105 - logcount_predictions_loss: 0.3609 188/1106 [====>.........................] - ETA: 2:07 - loss: 270.3733 - logits_profile_predictions_loss: 266.5122 - logcount_predictions_loss: 0.3609 189/1106 [====>.........................] - ETA: 2:07 - loss: 270.3747 - logits_profile_predictions_loss: 266.5138 - logcount_predictions_loss: 0.3608 190/1106 [====>.........................] - ETA: 2:07 - loss: 270.3765 - logits_profile_predictions_loss: 266.5158 - logcount_predictions_loss: 0.3608 191/1106 [====>.........................] - ETA: 2:06 - loss: 270.3778 - logits_profile_predictions_loss: 266.5172 - logcount_predictions_loss: 0.3608 192/1106 [====>.........................] - ETA: 2:06 - loss: 270.3791 - logits_profile_predictions_loss: 266.5188 - logcount_predictions_loss: 0.3608 193/1106 [====>.........................] - ETA: 2:06 - loss: 270.3812 - logits_profile_predictions_loss: 266.5210 - logcount_predictions_loss: 0.3608 194/1106 [====>.........................] - ETA: 2:06 - loss: 270.3831 - logits_profile_predictions_loss: 266.5231 - logcount_predictions_loss: 0.3608 195/1106 [====>.........................] - ETA: 2:06 - loss: 270.3852 - logits_profile_predictions_loss: 266.5253 - logcount_predictions_loss: 0.3607 196/1106 [====>.........................] - ETA: 2:06 - loss: 270.3870 - logits_profile_predictions_loss: 266.5273 - logcount_predictions_loss: 0.3607 197/1106 [====>.........................] - ETA: 2:06 - loss: 270.3883 - logits_profile_predictions_loss: 266.5287 - logcount_predictions_loss: 0.3607 198/1106 [====>.........................] - ETA: 2:06 - loss: 270.3891 - logits_profile_predictions_loss: 266.5297 - logcount_predictions_loss: 0.3607 199/1106 [====>.........................] - ETA: 2:05 - loss: 270.3901 - logits_profile_predictions_loss: 266.5309 - logcount_predictions_loss: 0.3607 200/1106 [====>.........................] - ETA: 2:05 - loss: 270.3912 - logits_profile_predictions_loss: 266.5322 - logcount_predictions_loss: 0.3607 201/1106 [====>.........................] - ETA: 2:05 - loss: 270.3924 - logits_profile_predictions_loss: 266.5335 - logcount_predictions_loss: 0.3606 202/1106 [====>.........................] - ETA: 2:05 - loss: 270.3932 - logits_profile_predictions_loss: 266.5345 - logcount_predictions_loss: 0.3606 203/1106 [====>.........................] - ETA: 2:05 - loss: 270.3935 - logits_profile_predictions_loss: 266.5349 - logcount_predictions_loss: 0.3606 204/1106 [====>.........................] - ETA: 2:05 - loss: 270.3944 - logits_profile_predictions_loss: 266.5360 - logcount_predictions_loss: 0.3606 205/1106 [====>.........................] - ETA: 2:05 - loss: 270.3953 - logits_profile_predictions_loss: 266.5371 - logcount_predictions_loss: 0.3606 206/1106 [====>.........................] - ETA: 2:04 - loss: 270.3961 - logits_profile_predictions_loss: 266.5380 - logcount_predictions_loss: 0.3606 207/1106 [====>.........................] - ETA: 2:04 - loss: 270.3970 - logits_profile_predictions_loss: 266.5391 - logcount_predictions_loss: 0.3606 208/1106 [====>.........................] - ETA: 2:04 - loss: 270.3982 - logits_profile_predictions_loss: 266.5405 - logcount_predictions_loss: 0.3605 209/1106 [====>.........................] - ETA: 2:04 - loss: 270.3990 - logits_profile_predictions_loss: 266.5415 - logcount_predictions_loss: 0.3605 210/1106 [====>.........................] - ETA: 2:04 - loss: 270.3999 - logits_profile_predictions_loss: 266.5426 - logcount_predictions_loss: 0.3605 211/1106 [====>.........................] - ETA: 2:04 - loss: 270.4002 - logits_profile_predictions_loss: 266.5430 - logcount_predictions_loss: 0.3605 212/1106 [====>.........................] - ETA: 2:04 - loss: 270.4009 - logits_profile_predictions_loss: 266.5439 - logcount_predictions_loss: 0.3605 213/1106 [====>.........................] - ETA: 2:03 - loss: 270.4011 - logits_profile_predictions_loss: 266.5443 - logcount_predictions_loss: 0.3605 214/1106 [====>.........................] - ETA: 2:03 - loss: 270.4017 - logits_profile_predictions_loss: 266.5451 - logcount_predictions_loss: 0.3604 215/1106 [====>.........................] - ETA: 2:03 - loss: 270.4019 - logits_profile_predictions_loss: 266.5454 - logcount_predictions_loss: 0.3604 216/1106 [====>.........................] - ETA: 2:03 - loss: 270.4024 - logits_profile_predictions_loss: 266.5461 - logcount_predictions_loss: 0.3604 217/1106 [====>.........................] - ETA: 2:03 - loss: 270.4028 - logits_profile_predictions_loss: 266.5467 - logcount_predictions_loss: 0.3604 218/1106 [====>.........................] - ETA: 2:03 - loss: 270.4034 - logits_profile_predictions_loss: 266.5475 - logcount_predictions_loss: 0.3604 219/1106 [====>.........................] - ETA: 2:03 - loss: 270.4042 - logits_profile_predictions_loss: 266.5485 - logcount_predictions_loss: 0.3603 220/1106 [====>.........................] - ETA: 2:02 - loss: 270.4048 - logits_profile_predictions_loss: 266.5493 - logcount_predictions_loss: 0.3603 221/1106 [====>.........................] - ETA: 2:02 - loss: 270.4051 - logits_profile_predictions_loss: 266.5498 - logcount_predictions_loss: 0.3603 222/1106 [=====>........................] - ETA: 2:02 - loss: 270.4056 - logits_profile_predictions_loss: 266.5505 - logcount_predictions_loss: 0.3603 223/1106 [=====>........................] - ETA: 2:02 - loss: 270.4065 - logits_profile_predictions_loss: 266.5516 - logcount_predictions_loss: 0.3603 224/1106 [=====>........................] - ETA: 2:02 - loss: 270.4075 - logits_profile_predictions_loss: 266.5528 - logcount_predictions_loss: 0.3603 225/1106 [=====>........................] - ETA: 2:02 - loss: 270.4084 - logits_profile_predictions_loss: 266.5539 - logcount_predictions_loss: 0.3602 226/1106 [=====>........................] - ETA: 2:02 - loss: 270.4097 - logits_profile_predictions_loss: 266.5554 - logcount_predictions_loss: 0.3602 227/1106 [=====>........................] - ETA: 2:01 - loss: 270.4110 - logits_profile_predictions_loss: 266.5568 - logcount_predictions_loss: 0.3602 228/1106 [=====>........................] - ETA: 2:01 - loss: 270.4128 - logits_profile_predictions_loss: 266.5588 - logcount_predictions_loss: 0.3602 229/1106 [=====>........................] - ETA: 2:01 - loss: 270.4145 - logits_profile_predictions_loss: 266.5607 - logcount_predictions_loss: 0.3602 230/1106 [=====>........................] - ETA: 2:01 - loss: 270.4162 - logits_profile_predictions_loss: 266.5626 - logcount_predictions_loss: 0.3602 231/1106 [=====>........................] - ETA: 2:01 - loss: 270.4179 - logits_profile_predictions_loss: 266.5645 - logcount_predictions_loss: 0.3601 232/1106 [=====>........................] - ETA: 2:01 - loss: 270.4191 - logits_profile_predictions_loss: 266.5659 - logcount_predictions_loss: 0.3601 233/1106 [=====>........................] - ETA: 2:01 - loss: 270.4210 - logits_profile_predictions_loss: 266.5680 - logcount_predictions_loss: 0.3601 234/1106 [=====>........................] - ETA: 2:01 - loss: 270.4229 - logits_profile_predictions_loss: 266.5701 - logcount_predictions_loss: 0.3601 235/1106 [=====>........................] - ETA: 2:00 - loss: 270.4248 - logits_profile_predictions_loss: 266.5722 - logcount_predictions_loss: 0.3601 236/1106 [=====>........................] - ETA: 2:00 - loss: 270.4267 - logits_profile_predictions_loss: 266.5742 - logcount_predictions_loss: 0.3600 237/1106 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[============================>.] - ETA: 0s - loss: 270.3416 - logits_profile_predictions_loss: 266.5206 - logcount_predictions_loss: 0.3571 1102/1106 [============================>.] - ETA: 0s - loss: 270.3413 - logits_profile_predictions_loss: 266.5203 - logcount_predictions_loss: 0.3571 1103/1106 [============================>.] - ETA: 0s - loss: 270.3409 - logits_profile_predictions_loss: 266.5200 - logcount_predictions_loss: 0.3571 1104/1106 [============================>.] - ETA: 0s - loss: 270.3406 - logits_profile_predictions_loss: 266.5197 - logcount_predictions_loss: 0.3571 1105/1106 [============================>.] - ETA: 0s - loss: 270.3402 - logits_profile_predictions_loss: 266.5193 - logcount_predictions_loss: 0.3571 1106/1106 [==============================] - ETA: 0s - loss: 270.3399 - logits_profile_predictions_loss: 266.5190 - logcount_predictions_loss: 0.3571 1106/1106 [==============================] - 160s 145ms/step - loss: 270.3395 - 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[..............................] - ETA: 2:35 - loss: 262.7457 - logits_profile_predictions_loss: 259.3915 - logcount_predictions_loss: 0.3135 6/1106 [..............................] - ETA: 2:34 - loss: 263.4179 - logits_profile_predictions_loss: 259.9798 - logcount_predictions_loss: 0.3213 7/1106 [..............................] - ETA: 2:33 - loss: 264.1652 - logits_profile_predictions_loss: 260.6932 - logcount_predictions_loss: 0.3245 8/1106 [..............................] - ETA: 2:33 - loss: 265.1639 - logits_profile_predictions_loss: 261.6610 - logcount_predictions_loss: 0.3274 9/1106 [..............................] - ETA: 2:33 - loss: 266.1859 - logits_profile_predictions_loss: 262.6628 - logcount_predictions_loss: 0.3293 10/1106 [..............................] - ETA: 2:33 - loss: 266.7037 - logits_profile_predictions_loss: 263.1735 - logcount_predictions_loss: 0.3299 11/1106 [..............................] - ETA: 2:32 - loss: 266.8681 - logits_profile_predictions_loss: 263.3355 - logcount_predictions_loss: 0.3301 12/1106 [..............................] - ETA: 2:32 - loss: 266.8019 - logits_profile_predictions_loss: 263.2619 - logcount_predictions_loss: 0.3308 13/1106 [..............................] - ETA: 2:32 - loss: 266.7687 - logits_profile_predictions_loss: 263.2225 - logcount_predictions_loss: 0.3314 14/1106 [..............................] - ETA: 2:32 - loss: 266.7441 - logits_profile_predictions_loss: 263.1939 - logcount_predictions_loss: 0.3318 15/1106 [..............................] - ETA: 2:32 - loss: 266.6416 - logits_profile_predictions_loss: 263.0919 - logcount_predictions_loss: 0.3318 16/1106 [..............................] - ETA: 2:31 - loss: 266.6307 - logits_profile_predictions_loss: 263.0805 - logcount_predictions_loss: 0.3318 17/1106 [..............................] - ETA: 2:31 - loss: 266.6716 - logits_profile_predictions_loss: 263.1228 - logcount_predictions_loss: 0.3317 18/1106 [..............................] - ETA: 2:31 - loss: 266.6488 - logits_profile_predictions_loss: 263.0996 - logcount_predictions_loss: 0.3317 19/1106 [..............................] - ETA: 2:31 - loss: 266.6503 - logits_profile_predictions_loss: 263.1014 - logcount_predictions_loss: 0.3317 20/1106 [..............................] - ETA: 2:31 - loss: 266.6529 - logits_profile_predictions_loss: 263.1047 - logcount_predictions_loss: 0.3316 21/1106 [..............................] - ETA: 2:31 - loss: 266.6519 - logits_profile_predictions_loss: 263.1024 - logcount_predictions_loss: 0.3317 22/1106 [..............................] - ETA: 2:30 - loss: 266.6505 - logits_profile_predictions_loss: 263.0985 - logcount_predictions_loss: 0.3320 23/1106 [..............................] - ETA: 2:30 - loss: 266.7049 - logits_profile_predictions_loss: 263.1518 - logcount_predictions_loss: 0.3321 24/1106 [..............................] - ETA: 2:30 - loss: 266.7727 - logits_profile_predictions_loss: 263.2175 - logcount_predictions_loss: 0.3323 25/1106 [..............................] - ETA: 2:30 - loss: 266.8589 - logits_profile_predictions_loss: 263.3020 - logcount_predictions_loss: 0.3324 26/1106 [..............................] - ETA: 2:30 - loss: 266.9525 - logits_profile_predictions_loss: 263.3945 - logcount_predictions_loss: 0.3325 27/1106 [..............................] - ETA: 2:29 - loss: 267.0420 - logits_profile_predictions_loss: 263.4824 - logcount_predictions_loss: 0.3327 28/1106 [..............................] - ETA: 2:29 - loss: 267.1110 - logits_profile_predictions_loss: 263.5511 - logcount_predictions_loss: 0.3327 29/1106 [..............................] - ETA: 2:29 - loss: 267.1852 - logits_profile_predictions_loss: 263.6242 - logcount_predictions_loss: 0.3328 30/1106 [..............................] - ETA: 2:29 - loss: 267.2551 - logits_profile_predictions_loss: 263.6925 - logcount_predictions_loss: 0.3330 31/1106 [..............................] - ETA: 2:29 - loss: 267.2981 - 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[>.............................] - ETA: 2:28 - loss: 267.4243 - logits_profile_predictions_loss: 263.8467 - logcount_predictions_loss: 0.3344 39/1106 [>.............................] - ETA: 2:28 - loss: 267.4336 - logits_profile_predictions_loss: 263.8560 - logcount_predictions_loss: 0.3343 40/1106 [>.............................] - ETA: 2:28 - loss: 267.4630 - logits_profile_predictions_loss: 263.8854 - logcount_predictions_loss: 0.3344 41/1106 [>.............................] - ETA: 2:27 - loss: 267.5004 - logits_profile_predictions_loss: 263.9227 - logcount_predictions_loss: 0.3344 42/1106 [>.............................] - ETA: 2:27 - loss: 267.5463 - logits_profile_predictions_loss: 263.9688 - logcount_predictions_loss: 0.3344 43/1106 [>.............................] - ETA: 2:27 - loss: 267.5799 - logits_profile_predictions_loss: 264.0028 - logcount_predictions_loss: 0.3343 44/1106 [>.............................] - ETA: 2:27 - loss: 267.6236 - logits_profile_predictions_loss: 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[>.............................] - ETA: 2:23 - loss: 268.9459 - logits_profile_predictions_loss: 265.3785 - logcount_predictions_loss: 0.3334 72/1106 [>.............................] - ETA: 2:23 - loss: 268.9810 - logits_profile_predictions_loss: 265.4136 - logcount_predictions_loss: 0.3334 73/1106 [>.............................] - ETA: 2:23 - loss: 269.0120 - logits_profile_predictions_loss: 265.4447 - logcount_predictions_loss: 0.3334 74/1106 [=>............................] - ETA: 2:23 - loss: 269.0397 - logits_profile_predictions_loss: 265.4726 - logcount_predictions_loss: 0.3334 75/1106 [=>............................] - ETA: 2:23 - loss: 269.0673 - logits_profile_predictions_loss: 265.5004 - logcount_predictions_loss: 0.3334 76/1106 [=>............................] - ETA: 2:23 - loss: 269.0943 - logits_profile_predictions_loss: 265.5275 - logcount_predictions_loss: 0.3333 77/1106 [=>............................] - ETA: 2:22 - loss: 269.1183 - logits_profile_predictions_loss: 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[=>............................] - ETA: 2:19 - loss: 269.5095 - logits_profile_predictions_loss: 265.9443 - logcount_predictions_loss: 0.3332 105/1106 [=>............................] - ETA: 2:18 - loss: 269.5219 - logits_profile_predictions_loss: 265.9571 - logcount_predictions_loss: 0.3332 106/1106 [=>............................] - ETA: 2:18 - loss: 269.5343 - logits_profile_predictions_loss: 265.9699 - logcount_predictions_loss: 0.3331 107/1106 [=>............................] - ETA: 2:18 - loss: 269.5468 - logits_profile_predictions_loss: 265.9829 - logcount_predictions_loss: 0.3331 108/1106 [=>............................] - ETA: 2:18 - loss: 269.5604 - logits_profile_predictions_loss: 265.9970 - logcount_predictions_loss: 0.3330 109/1106 [=>............................] - ETA: 2:18 - loss: 269.5711 - logits_profile_predictions_loss: 266.0082 - logcount_predictions_loss: 0.3330 110/1106 [=>............................] - ETA: 2:18 - loss: 269.5814 - 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[==>...........................] - ETA: 2:17 - loss: 269.6427 - logits_profile_predictions_loss: 266.0826 - logcount_predictions_loss: 0.3327 118/1106 [==>...........................] - ETA: 2:17 - loss: 269.6542 - logits_profile_predictions_loss: 266.0943 - logcount_predictions_loss: 0.3327 119/1106 [==>...........................] - ETA: 2:16 - loss: 269.6644 - logits_profile_predictions_loss: 266.1049 - logcount_predictions_loss: 0.3327 120/1106 [==>...........................] - ETA: 2:16 - loss: 269.6751 - logits_profile_predictions_loss: 266.1157 - logcount_predictions_loss: 0.3326 121/1106 [==>...........................] - ETA: 2:16 - loss: 269.6833 - logits_profile_predictions_loss: 266.1241 - logcount_predictions_loss: 0.3326 122/1106 [==>...........................] - ETA: 2:16 - loss: 269.6915 - logits_profile_predictions_loss: 266.1325 - logcount_predictions_loss: 0.3326 123/1106 [==>...........................] - ETA: 2:16 - loss: 269.6984 - logits_profile_predictions_loss: 266.1394 - logcount_predictions_loss: 0.3326 124/1106 [==>...........................] - ETA: 2:16 - loss: 269.7055 - logits_profile_predictions_loss: 266.1467 - logcount_predictions_loss: 0.3326 125/1106 [==>...........................] - ETA: 2:16 - loss: 269.7138 - logits_profile_predictions_loss: 266.1551 - logcount_predictions_loss: 0.3326 126/1106 [==>...........................] - ETA: 2:16 - loss: 269.7207 - logits_profile_predictions_loss: 266.1621 - logcount_predictions_loss: 0.3326 127/1106 [==>...........................] - ETA: 2:15 - loss: 269.7266 - logits_profile_predictions_loss: 266.1682 - logcount_predictions_loss: 0.3326 128/1106 [==>...........................] - ETA: 2:15 - loss: 269.7333 - logits_profile_predictions_loss: 266.1750 - logcount_predictions_loss: 0.3325 129/1106 [==>...........................] - ETA: 2:15 - loss: 269.7379 - logits_profile_predictions_loss: 266.1798 - logcount_predictions_loss: 0.3325 130/1106 [==>...........................] - ETA: 2:15 - loss: 269.7422 - logits_profile_predictions_loss: 266.1843 - logcount_predictions_loss: 0.3325 131/1106 [==>...........................] - ETA: 2:15 - loss: 269.7485 - logits_profile_predictions_loss: 266.1907 - logcount_predictions_loss: 0.3325 132/1106 [==>...........................] - ETA: 2:15 - loss: 269.7547 - logits_profile_predictions_loss: 266.1971 - logcount_predictions_loss: 0.3325 133/1106 [==>...........................] - ETA: 2:15 - loss: 269.7609 - logits_profile_predictions_loss: 266.2034 - logcount_predictions_loss: 0.3325 134/1106 [==>...........................] - ETA: 2:14 - loss: 269.7670 - logits_profile_predictions_loss: 266.2097 - logcount_predictions_loss: 0.3325 135/1106 [==>...........................] - ETA: 2:14 - loss: 269.7736 - logits_profile_predictions_loss: 266.2163 - logcount_predictions_loss: 0.3324 136/1106 [==>...........................] - ETA: 2:14 - loss: 269.7807 - logits_profile_predictions_loss: 266.2236 - logcount_predictions_loss: 0.3324 137/1106 [==>...........................] - ETA: 2:14 - loss: 269.7867 - logits_profile_predictions_loss: 266.2296 - logcount_predictions_loss: 0.3324 138/1106 [==>...........................] - ETA: 2:14 - loss: 269.7913 - logits_profile_predictions_loss: 266.2343 - logcount_predictions_loss: 0.3324 139/1106 [==>...........................] - ETA: 2:14 - loss: 269.7953 - logits_profile_predictions_loss: 266.2383 - logcount_predictions_loss: 0.3324 140/1106 [==>...........................] - ETA: 2:14 - loss: 269.8020 - logits_profile_predictions_loss: 266.2450 - logcount_predictions_loss: 0.3324 141/1106 [==>...........................] - ETA: 2:13 - loss: 269.8087 - logits_profile_predictions_loss: 266.2518 - logcount_predictions_loss: 0.3324 142/1106 [==>...........................] - ETA: 2:13 - loss: 269.8156 - logits_profile_predictions_loss: 266.2587 - logcount_predictions_loss: 0.3324 143/1106 [==>...........................] - ETA: 2:13 - loss: 269.8235 - logits_profile_predictions_loss: 266.2666 - logcount_predictions_loss: 0.3324 144/1106 [==>...........................] - ETA: 2:13 - loss: 269.8303 - logits_profile_predictions_loss: 266.2735 - logcount_predictions_loss: 0.3324 145/1106 [==>...........................] - ETA: 2:13 - loss: 269.8379 - logits_profile_predictions_loss: 266.2811 - logcount_predictions_loss: 0.3324 146/1106 [==>...........................] - ETA: 2:13 - loss: 269.8452 - logits_profile_predictions_loss: 266.2884 - logcount_predictions_loss: 0.3324 147/1106 [==>...........................] - ETA: 2:13 - loss: 269.8514 - logits_profile_predictions_loss: 266.2946 - logcount_predictions_loss: 0.3324 148/1106 [===>..........................] - ETA: 2:12 - loss: 269.8579 - logits_profile_predictions_loss: 266.3011 - logcount_predictions_loss: 0.3324 149/1106 [===>..........................] - ETA: 2:12 - loss: 269.8636 - logits_profile_predictions_loss: 266.3068 - logcount_predictions_loss: 0.3324 150/1106 [===>..........................] - ETA: 2:12 - loss: 269.8690 - logits_profile_predictions_loss: 266.3121 - logcount_predictions_loss: 0.3324 151/1106 [===>..........................] - ETA: 2:12 - loss: 269.8741 - logits_profile_predictions_loss: 266.3173 - logcount_predictions_loss: 0.3324 152/1106 [===>..........................] - ETA: 2:12 - loss: 269.8780 - logits_profile_predictions_loss: 266.3212 - logcount_predictions_loss: 0.3324 153/1106 [===>..........................] - ETA: 2:12 - loss: 269.8811 - logits_profile_predictions_loss: 266.3242 - logcount_predictions_loss: 0.3324 154/1106 [===>..........................] - ETA: 2:12 - loss: 269.8844 - logits_profile_predictions_loss: 266.3276 - logcount_predictions_loss: 0.3324 155/1106 [===>..........................] - ETA: 2:11 - loss: 269.8868 - logits_profile_predictions_loss: 266.3298 - logcount_predictions_loss: 0.3324 156/1106 [===>..........................] - ETA: 2:11 - loss: 269.8889 - logits_profile_predictions_loss: 266.3320 - logcount_predictions_loss: 0.3324 157/1106 [===>..........................] - ETA: 2:11 - loss: 269.8918 - logits_profile_predictions_loss: 266.3349 - logcount_predictions_loss: 0.3324 158/1106 [===>..........................] - ETA: 2:11 - loss: 269.8936 - logits_profile_predictions_loss: 266.3367 - logcount_predictions_loss: 0.3324 159/1106 [===>..........................] - ETA: 2:11 - loss: 269.8957 - logits_profile_predictions_loss: 266.3388 - logcount_predictions_loss: 0.3324 160/1106 [===>..........................] - ETA: 2:11 - loss: 269.8984 - logits_profile_predictions_loss: 266.3414 - logcount_predictions_loss: 0.3324 161/1106 [===>..........................] - ETA: 2:11 - loss: 269.9005 - logits_profile_predictions_loss: 266.3434 - logcount_predictions_loss: 0.3324 162/1106 [===>..........................] - ETA: 2:10 - loss: 269.9028 - logits_profile_predictions_loss: 266.3457 - logcount_predictions_loss: 0.3324 163/1106 [===>..........................] - ETA: 2:10 - loss: 269.9059 - logits_profile_predictions_loss: 266.3488 - logcount_predictions_loss: 0.3324 164/1106 [===>..........................] - ETA: 2:10 - loss: 269.9088 - logits_profile_predictions_loss: 266.3517 - logcount_predictions_loss: 0.3324 165/1106 [===>..........................] - ETA: 2:10 - loss: 269.9121 - logits_profile_predictions_loss: 266.3550 - logcount_predictions_loss: 0.3324 166/1106 [===>..........................] - ETA: 2:10 - loss: 269.9146 - logits_profile_predictions_loss: 266.3576 - logcount_predictions_loss: 0.3324 167/1106 [===>..........................] - ETA: 2:10 - loss: 269.9170 - logits_profile_predictions_loss: 266.3600 - logcount_predictions_loss: 0.3324 168/1106 [===>..........................] - ETA: 2:10 - loss: 269.9194 - logits_profile_predictions_loss: 266.3624 - logcount_predictions_loss: 0.3324 169/1106 [===>..........................] - ETA: 2:10 - loss: 269.9217 - logits_profile_predictions_loss: 266.3647 - logcount_predictions_loss: 0.3324 170/1106 [===>..........................] - ETA: 2:09 - loss: 269.9239 - logits_profile_predictions_loss: 266.3669 - logcount_predictions_loss: 0.3324 171/1106 [===>..........................] - ETA: 2:09 - loss: 269.9260 - logits_profile_predictions_loss: 266.3690 - logcount_predictions_loss: 0.3324 172/1106 [===>..........................] - ETA: 2:09 - loss: 269.9278 - logits_profile_predictions_loss: 266.3708 - logcount_predictions_loss: 0.3324 173/1106 [===>..........................] - ETA: 2:09 - loss: 269.9301 - logits_profile_predictions_loss: 266.3731 - logcount_predictions_loss: 0.3324 174/1106 [===>..........................] - ETA: 2:09 - loss: 269.9325 - logits_profile_predictions_loss: 266.3755 - logcount_predictions_loss: 0.3324 175/1106 [===>..........................] - ETA: 2:09 - loss: 269.9342 - logits_profile_predictions_loss: 266.3772 - logcount_predictions_loss: 0.3324 176/1106 [===>..........................] - ETA: 2:09 - loss: 269.9350 - logits_profile_predictions_loss: 266.3779 - logcount_predictions_loss: 0.3324 177/1106 [===>..........................] - ETA: 2:08 - loss: 269.9369 - logits_profile_predictions_loss: 266.3797 - logcount_predictions_loss: 0.3324 178/1106 [===>..........................] - ETA: 2:08 - loss: 269.9387 - logits_profile_predictions_loss: 266.3814 - logcount_predictions_loss: 0.3325 179/1106 [===>..........................] - ETA: 2:08 - loss: 269.9402 - logits_profile_predictions_loss: 266.3828 - logcount_predictions_loss: 0.3325 180/1106 [===>..........................] - ETA: 2:08 - loss: 269.9420 - logits_profile_predictions_loss: 266.3845 - logcount_predictions_loss: 0.3325 181/1106 [===>..........................] - ETA: 2:08 - loss: 269.9443 - logits_profile_predictions_loss: 266.3867 - logcount_predictions_loss: 0.3325 182/1106 [===>..........................] - ETA: 2:08 - loss: 269.9468 - logits_profile_predictions_loss: 266.3892 - logcount_predictions_loss: 0.3325 183/1106 [===>..........................] - ETA: 2:08 - loss: 269.9494 - logits_profile_predictions_loss: 266.3917 - logcount_predictions_loss: 0.3325 184/1106 [===>..........................] - ETA: 2:07 - loss: 269.9519 - logits_profile_predictions_loss: 266.3942 - logcount_predictions_loss: 0.3325 185/1106 [====>.........................] - ETA: 2:07 - loss: 269.9548 - logits_profile_predictions_loss: 266.3970 - logcount_predictions_loss: 0.3325 186/1106 [====>.........................] - ETA: 2:07 - loss: 269.9574 - logits_profile_predictions_loss: 266.3995 - logcount_predictions_loss: 0.3325 187/1106 [====>.........................] - ETA: 2:07 - loss: 269.9612 - logits_profile_predictions_loss: 266.4032 - logcount_predictions_loss: 0.3325 188/1106 [====>.........................] - ETA: 2:07 - loss: 269.9649 - logits_profile_predictions_loss: 266.4068 - logcount_predictions_loss: 0.3325 189/1106 [====>.........................] - ETA: 2:07 - loss: 269.9686 - logits_profile_predictions_loss: 266.4105 - logcount_predictions_loss: 0.3325 190/1106 [====>.........................] - ETA: 2:07 - loss: 269.9736 - logits_profile_predictions_loss: 266.4154 - logcount_predictions_loss: 0.3325 191/1106 [====>.........................] - ETA: 2:06 - loss: 269.9785 - logits_profile_predictions_loss: 266.4202 - logcount_predictions_loss: 0.3325 192/1106 [====>.........................] - ETA: 2:06 - loss: 269.9829 - logits_profile_predictions_loss: 266.4245 - logcount_predictions_loss: 0.3326 193/1106 [====>.........................] - ETA: 2:06 - loss: 269.9868 - logits_profile_predictions_loss: 266.4283 - logcount_predictions_loss: 0.3326 194/1106 [====>.........................] - ETA: 2:06 - loss: 269.9903 - logits_profile_predictions_loss: 266.4318 - logcount_predictions_loss: 0.3326 195/1106 [====>.........................] - ETA: 2:06 - loss: 269.9934 - logits_profile_predictions_loss: 266.4348 - logcount_predictions_loss: 0.3326 196/1106 [====>.........................] - ETA: 2:06 - loss: 269.9966 - logits_profile_predictions_loss: 266.4379 - logcount_predictions_loss: 0.3326 197/1106 [====>.........................] - ETA: 2:06 - loss: 269.9998 - logits_profile_predictions_loss: 266.4410 - logcount_predictions_loss: 0.3326 198/1106 [====>.........................] - ETA: 2:05 - loss: 270.0038 - logits_profile_predictions_loss: 266.4449 - logcount_predictions_loss: 0.3326 199/1106 [====>.........................] - ETA: 2:05 - loss: 270.0079 - logits_profile_predictions_loss: 266.4488 - logcount_predictions_loss: 0.3326 200/1106 [====>.........................] - ETA: 2:05 - loss: 270.0110 - logits_profile_predictions_loss: 266.4518 - logcount_predictions_loss: 0.3326 201/1106 [====>.........................] - ETA: 2:05 - loss: 270.0136 - logits_profile_predictions_loss: 266.4544 - logcount_predictions_loss: 0.3326 202/1106 [====>.........................] - ETA: 2:05 - loss: 270.0165 - logits_profile_predictions_loss: 266.4571 - logcount_predictions_loss: 0.3327 203/1106 [====>.........................] - ETA: 2:05 - loss: 270.0198 - logits_profile_predictions_loss: 266.4602 - logcount_predictions_loss: 0.3327 204/1106 [====>.........................] - ETA: 2:05 - loss: 270.0227 - logits_profile_predictions_loss: 266.4630 - logcount_predictions_loss: 0.3327 205/1106 [====>.........................] - ETA: 2:04 - loss: 270.0258 - logits_profile_predictions_loss: 266.4659 - logcount_predictions_loss: 0.3327 206/1106 [====>.........................] - ETA: 2:04 - loss: 270.0294 - logits_profile_predictions_loss: 266.4692 - logcount_predictions_loss: 0.3327 207/1106 [====>.........................] - ETA: 2:04 - loss: 270.0329 - logits_profile_predictions_loss: 266.4726 - logcount_predictions_loss: 0.3327 208/1106 [====>.........................] - ETA: 2:04 - loss: 270.0369 - logits_profile_predictions_loss: 266.4765 - logcount_predictions_loss: 0.3327 209/1106 [====>.........................] - ETA: 2:04 - loss: 270.0404 - logits_profile_predictions_loss: 266.4798 - logcount_predictions_loss: 0.3328 210/1106 [====>.........................] - ETA: 2:04 - loss: 270.0435 - logits_profile_predictions_loss: 266.4828 - logcount_predictions_loss: 0.3328 211/1106 [====>.........................] - ETA: 2:04 - loss: 270.0466 - logits_profile_predictions_loss: 266.4856 - logcount_predictions_loss: 0.3328 212/1106 [====>.........................] - ETA: 2:04 - loss: 270.0496 - logits_profile_predictions_loss: 266.4885 - logcount_predictions_loss: 0.3328 213/1106 [====>.........................] - ETA: 2:03 - loss: 270.0524 - logits_profile_predictions_loss: 266.4912 - logcount_predictions_loss: 0.3328 214/1106 [====>.........................] - ETA: 2:03 - loss: 270.0550 - logits_profile_predictions_loss: 266.4936 - logcount_predictions_loss: 0.3328 215/1106 [====>.........................] - ETA: 2:03 - loss: 270.0569 - logits_profile_predictions_loss: 266.4953 - logcount_predictions_loss: 0.3329 216/1106 [====>.........................] - ETA: 2:03 - loss: 270.0587 - logits_profile_predictions_loss: 266.4969 - logcount_predictions_loss: 0.3329 217/1106 [====>.........................] - ETA: 2:03 - loss: 270.0609 - logits_profile_predictions_loss: 266.4990 - logcount_predictions_loss: 0.3329 218/1106 [====>.........................] - ETA: 2:03 - loss: 270.0632 - logits_profile_predictions_loss: 266.5011 - logcount_predictions_loss: 0.3329 219/1106 [====>.........................] - ETA: 2:03 - loss: 270.0656 - logits_profile_predictions_loss: 266.5033 - logcount_predictions_loss: 0.3329 220/1106 [====>.........................] - ETA: 2:02 - loss: 270.0684 - logits_profile_predictions_loss: 266.5058 - logcount_predictions_loss: 0.3330 221/1106 [====>.........................] - ETA: 2:02 - loss: 270.0708 - logits_profile_predictions_loss: 266.5079 - logcount_predictions_loss: 0.3330 222/1106 [=====>........................] - ETA: 2:02 - loss: 270.0731 - logits_profile_predictions_loss: 266.5100 - logcount_predictions_loss: 0.3330 223/1106 [=====>........................] - ETA: 2:02 - loss: 270.0759 - logits_profile_predictions_loss: 266.5125 - logcount_predictions_loss: 0.3330 224/1106 [=====>........................] - ETA: 2:02 - loss: 270.0779 - logits_profile_predictions_loss: 266.5143 - logcount_predictions_loss: 0.3330 225/1106 [=====>........................] - ETA: 2:02 - loss: 270.0794 - logits_profile_predictions_loss: 266.5156 - logcount_predictions_loss: 0.3331 226/1106 [=====>........................] - ETA: 2:02 - loss: 270.0816 - logits_profile_predictions_loss: 266.5176 - logcount_predictions_loss: 0.3331 227/1106 [=====>........................] - ETA: 2:01 - loss: 270.0837 - logits_profile_predictions_loss: 266.5196 - logcount_predictions_loss: 0.3331 228/1106 [=====>........................] - ETA: 2:01 - loss: 270.0857 - logits_profile_predictions_loss: 266.5213 - logcount_predictions_loss: 0.3331 229/1106 [=====>........................] - ETA: 2:01 - loss: 270.0878 - logits_profile_predictions_loss: 266.5233 - logcount_predictions_loss: 0.3331 230/1106 [=====>........................] - ETA: 2:01 - loss: 270.0895 - logits_profile_predictions_loss: 266.5248 - logcount_predictions_loss: 0.3331 231/1106 [=====>........................] - ETA: 2:01 - loss: 270.0912 - logits_profile_predictions_loss: 266.5263 - logcount_predictions_loss: 0.3332 232/1106 [=====>........................] - ETA: 2:01 - loss: 270.0932 - logits_profile_predictions_loss: 266.5282 - logcount_predictions_loss: 0.3332 233/1106 [=====>........................] - ETA: 2:01 - loss: 270.0948 - logits_profile_predictions_loss: 266.5296 - logcount_predictions_loss: 0.3332 234/1106 [=====>........................] - ETA: 2:00 - loss: 270.0962 - logits_profile_predictions_loss: 266.5309 - logcount_predictions_loss: 0.3332 235/1106 [=====>........................] - ETA: 2:00 - loss: 270.0978 - logits_profile_predictions_loss: 266.5323 - logcount_predictions_loss: 0.3332 236/1106 [=====>........................] - ETA: 2:00 - loss: 270.0990 - logits_profile_predictions_loss: 266.5334 - logcount_predictions_loss: 0.3332 237/1106 [=====>........................] - ETA: 2:00 - loss: 270.0995 - logits_profile_predictions_loss: 266.5337 - logcount_predictions_loss: 0.3333 238/1106 [=====>........................] - ETA: 2:00 - loss: 270.0998 - logits_profile_predictions_loss: 266.5338 - logcount_predictions_loss: 0.3333 239/1106 [=====>........................] - ETA: 2:00 - loss: 270.0996 - logits_profile_predictions_loss: 266.5335 - logcount_predictions_loss: 0.3333 240/1106 [=====>........................] - ETA: 2:00 - loss: 270.0992 - logits_profile_predictions_loss: 266.5329 - logcount_predictions_loss: 0.3333 241/1106 [=====>........................] - ETA: 1:59 - loss: 270.0985 - logits_profile_predictions_loss: 266.5321 - logcount_predictions_loss: 0.3333 242/1106 [=====>........................] - ETA: 1:59 - loss: 270.0978 - logits_profile_predictions_loss: 266.5311 - logcount_predictions_loss: 0.3333 243/1106 [=====>........................] - ETA: 1:59 - loss: 270.0969 - logits_profile_predictions_loss: 266.5301 - logcount_predictions_loss: 0.3333 244/1106 [=====>........................] - ETA: 1:59 - loss: 270.0965 - logits_profile_predictions_loss: 266.5295 - logcount_predictions_loss: 0.3334 245/1106 [=====>........................] - ETA: 1:59 - loss: 270.0961 - logits_profile_predictions_loss: 266.5289 - logcount_predictions_loss: 0.3334 246/1106 [=====>........................] - ETA: 1:59 - loss: 270.0957 - logits_profile_predictions_loss: 266.5283 - logcount_predictions_loss: 0.3334 247/1106 [=====>........................] - ETA: 1:59 - loss: 270.0950 - logits_profile_predictions_loss: 266.5274 - logcount_predictions_loss: 0.3334 248/1106 [=====>........................] - ETA: 1:59 - loss: 270.0944 - logits_profile_predictions_loss: 266.5265 - logcount_predictions_loss: 0.3334 249/1106 [=====>........................] - ETA: 1:58 - loss: 270.0938 - logits_profile_predictions_loss: 266.5258 - logcount_predictions_loss: 0.3335 250/1106 [=====>........................] - ETA: 1:58 - loss: 270.0933 - logits_profile_predictions_loss: 266.5251 - logcount_predictions_loss: 0.3335 251/1106 [=====>........................] - ETA: 1:58 - loss: 270.0930 - logits_profile_predictions_loss: 266.5246 - logcount_predictions_loss: 0.3335 252/1106 [=====>........................] - ETA: 1:58 - loss: 270.0927 - logits_profile_predictions_loss: 266.5241 - logcount_predictions_loss: 0.3335 253/1106 [=====>........................] - ETA: 1:58 - loss: 270.0922 - logits_profile_predictions_loss: 266.5234 - logcount_predictions_loss: 0.3335 254/1106 [=====>........................] - ETA: 1:58 - loss: 270.0918 - logits_profile_predictions_loss: 266.5228 - logcount_predictions_loss: 0.3336 255/1106 [=====>........................] - ETA: 1:58 - loss: 270.0914 - logits_profile_predictions_loss: 266.5221 - logcount_predictions_loss: 0.3336 256/1106 [=====>........................] - ETA: 1:57 - loss: 270.0912 - logits_profile_predictions_loss: 266.5217 - logcount_predictions_loss: 0.3336 257/1106 [=====>........................] - ETA: 1:57 - loss: 270.0913 - logits_profile_predictions_loss: 266.5216 - logcount_predictions_loss: 0.3336 258/1106 [=====>........................] - ETA: 1:57 - loss: 270.0909 - logits_profile_predictions_loss: 266.5209 - logcount_predictions_loss: 0.3336 259/1106 [======>.......................] - ETA: 1:57 - loss: 270.0905 - logits_profile_predictions_loss: 266.5202 - logcount_predictions_loss: 0.3337 260/1106 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[==>...........................] - ETA: 2:16 - loss: 269.6591 - logits_profile_predictions_loss: 266.1155 - logcount_predictions_loss: 0.3312 122/1106 [==>...........................] - ETA: 2:16 - loss: 269.6462 - logits_profile_predictions_loss: 266.1024 - logcount_predictions_loss: 0.3312 123/1106 [==>...........................] - ETA: 2:16 - loss: 269.6343 - logits_profile_predictions_loss: 266.0901 - logcount_predictions_loss: 0.3312 124/1106 [==>...........................] - ETA: 2:16 - loss: 269.6226 - logits_profile_predictions_loss: 266.0779 - logcount_predictions_loss: 0.3313 125/1106 [==>...........................] - ETA: 2:16 - loss: 269.6106 - logits_profile_predictions_loss: 266.0654 - logcount_predictions_loss: 0.3313 126/1106 [==>...........................] - ETA: 2:16 - loss: 269.5997 - logits_profile_predictions_loss: 266.0541 - logcount_predictions_loss: 0.3314 127/1106 [==>...........................] - ETA: 2:16 - loss: 269.5892 - 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[==>...........................] - ETA: 2:15 - loss: 269.5337 - logits_profile_predictions_loss: 265.9849 - logcount_predictions_loss: 0.3317 135/1106 [==>...........................] - ETA: 2:14 - loss: 269.5280 - logits_profile_predictions_loss: 265.9790 - logcount_predictions_loss: 0.3317 136/1106 [==>...........................] - ETA: 2:14 - loss: 269.5227 - logits_profile_predictions_loss: 265.9735 - logcount_predictions_loss: 0.3317 137/1106 [==>...........................] - ETA: 2:14 - loss: 269.5177 - logits_profile_predictions_loss: 265.9684 - logcount_predictions_loss: 0.3317 138/1106 [==>...........................] - ETA: 2:14 - loss: 269.5120 - logits_profile_predictions_loss: 265.9625 - logcount_predictions_loss: 0.3317 139/1106 [==>...........................] - ETA: 2:14 - loss: 269.5052 - logits_profile_predictions_loss: 265.9555 - logcount_predictions_loss: 0.3317 140/1106 [==>...........................] - ETA: 2:14 - loss: 269.4986 - 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[==>...........................] - ETA: 2:13 - loss: 269.4512 - logits_profile_predictions_loss: 265.8994 - logcount_predictions_loss: 0.3319 148/1106 [===>..........................] - ETA: 2:13 - loss: 269.4441 - logits_profile_predictions_loss: 265.8922 - logcount_predictions_loss: 0.3320 149/1106 [===>..........................] - ETA: 2:12 - loss: 269.4384 - logits_profile_predictions_loss: 265.8863 - logcount_predictions_loss: 0.3320 150/1106 [===>..........................] - ETA: 2:12 - loss: 269.4314 - logits_profile_predictions_loss: 265.8791 - logcount_predictions_loss: 0.3320 151/1106 [===>..........................] - ETA: 2:12 - loss: 269.4243 - logits_profile_predictions_loss: 265.8719 - logcount_predictions_loss: 0.3320 152/1106 [===>..........................] - ETA: 2:12 - loss: 269.4170 - logits_profile_predictions_loss: 265.8645 - logcount_predictions_loss: 0.3320 153/1106 [===>..........................] - ETA: 2:12 - loss: 269.4103 - logits_profile_predictions_loss: 265.8577 - logcount_predictions_loss: 0.3320 154/1106 [===>..........................] - ETA: 2:12 - loss: 269.4030 - logits_profile_predictions_loss: 265.8502 - logcount_predictions_loss: 0.3320 155/1106 [===>..........................] - ETA: 2:12 - loss: 269.3960 - logits_profile_predictions_loss: 265.8431 - logcount_predictions_loss: 0.3320 156/1106 [===>..........................] - ETA: 2:11 - loss: 269.3885 - logits_profile_predictions_loss: 265.8355 - logcount_predictions_loss: 0.3321 157/1106 [===>..........................] - ETA: 2:11 - loss: 269.3802 - logits_profile_predictions_loss: 265.8270 - logcount_predictions_loss: 0.3321 158/1106 [===>..........................] - ETA: 2:11 - loss: 269.3718 - logits_profile_predictions_loss: 265.8185 - logcount_predictions_loss: 0.3321 159/1106 [===>..........................] - ETA: 2:11 - loss: 269.3634 - logits_profile_predictions_loss: 265.8101 - logcount_predictions_loss: 0.3321 160/1106 [===>..........................] - ETA: 2:11 - loss: 269.3538 - logits_profile_predictions_loss: 265.8005 - logcount_predictions_loss: 0.3321 161/1106 [===>..........................] - ETA: 2:11 - loss: 269.3449 - logits_profile_predictions_loss: 265.7914 - logcount_predictions_loss: 0.3321 162/1106 [===>..........................] - ETA: 2:11 - loss: 269.3360 - logits_profile_predictions_loss: 265.7825 - logcount_predictions_loss: 0.3321 163/1106 [===>..........................] - ETA: 2:10 - loss: 269.3283 - logits_profile_predictions_loss: 265.7748 - logcount_predictions_loss: 0.3321 164/1106 [===>..........................] - ETA: 2:10 - loss: 269.3197 - logits_profile_predictions_loss: 265.7661 - logcount_predictions_loss: 0.3321 165/1106 [===>..........................] - ETA: 2:10 - loss: 269.3121 - logits_profile_predictions_loss: 265.7584 - logcount_predictions_loss: 0.3321 166/1106 [===>..........................] - ETA: 2:10 - loss: 269.3047 - logits_profile_predictions_loss: 265.7510 - logcount_predictions_loss: 0.3321 167/1106 [===>..........................] - ETA: 2:10 - loss: 269.2987 - logits_profile_predictions_loss: 265.7449 - logcount_predictions_loss: 0.3321 168/1106 [===>..........................] - ETA: 2:10 - loss: 269.2927 - logits_profile_predictions_loss: 265.7388 - logcount_predictions_loss: 0.3321 169/1106 [===>..........................] - ETA: 2:10 - loss: 269.2860 - logits_profile_predictions_loss: 265.7321 - logcount_predictions_loss: 0.3321 170/1106 [===>..........................] - ETA: 2:10 - loss: 269.2798 - logits_profile_predictions_loss: 265.7258 - logcount_predictions_loss: 0.3322 171/1106 [===>..........................] - ETA: 2:09 - loss: 269.2742 - logits_profile_predictions_loss: 265.7201 - logcount_predictions_loss: 0.3322 172/1106 [===>..........................] - ETA: 2:09 - loss: 269.2698 - logits_profile_predictions_loss: 265.7155 - logcount_predictions_loss: 0.3322 173/1106 [===>..........................] - ETA: 2:09 - loss: 269.2655 - logits_profile_predictions_loss: 265.7110 - logcount_predictions_loss: 0.3322 174/1106 [===>..........................] - ETA: 2:09 - loss: 269.2612 - logits_profile_predictions_loss: 265.7065 - logcount_predictions_loss: 0.3322 175/1106 [===>..........................] - ETA: 2:09 - loss: 269.2565 - logits_profile_predictions_loss: 265.7016 - logcount_predictions_loss: 0.3322 176/1106 [===>..........................] - ETA: 2:09 - loss: 269.2516 - logits_profile_predictions_loss: 265.6967 - logcount_predictions_loss: 0.3322 177/1106 [===>..........................] - ETA: 2:09 - loss: 269.2479 - logits_profile_predictions_loss: 265.6929 - logcount_predictions_loss: 0.3323 178/1106 [===>..........................] - ETA: 2:08 - loss: 269.2440 - logits_profile_predictions_loss: 265.6888 - logcount_predictions_loss: 0.3323 179/1106 [===>..........................] - ETA: 2:08 - loss: 269.2404 - logits_profile_predictions_loss: 265.6851 - logcount_predictions_loss: 0.3323 180/1106 [===>..........................] - ETA: 2:08 - loss: 269.2361 - logits_profile_predictions_loss: 265.6807 - logcount_predictions_loss: 0.3323 181/1106 [===>..........................] - ETA: 2:08 - loss: 269.2316 - logits_profile_predictions_loss: 265.6761 - logcount_predictions_loss: 0.3323 182/1106 [===>..........................] - ETA: 2:08 - loss: 269.2268 - logits_profile_predictions_loss: 265.6714 - logcount_predictions_loss: 0.3323 183/1106 [===>..........................] - ETA: 2:08 - loss: 269.2224 - logits_profile_predictions_loss: 265.6669 - logcount_predictions_loss: 0.3323 184/1106 [===>..........................] - ETA: 2:08 - loss: 269.2185 - logits_profile_predictions_loss: 265.6629 - logcount_predictions_loss: 0.3323 185/1106 [====>.........................] - ETA: 2:07 - loss: 269.2155 - logits_profile_predictions_loss: 265.6598 - logcount_predictions_loss: 0.3323 186/1106 [====>.........................] - ETA: 2:07 - loss: 269.2124 - logits_profile_predictions_loss: 265.6567 - logcount_predictions_loss: 0.3323 187/1106 [====>.........................] - ETA: 2:07 - loss: 269.2093 - logits_profile_predictions_loss: 265.6535 - logcount_predictions_loss: 0.3323 188/1106 [====>.........................] - ETA: 2:07 - loss: 269.2061 - logits_profile_predictions_loss: 265.6502 - logcount_predictions_loss: 0.3323 189/1106 [====>.........................] - ETA: 2:07 - loss: 269.2031 - logits_profile_predictions_loss: 265.6471 - logcount_predictions_loss: 0.3323 190/1106 [====>.........................] - ETA: 2:07 - loss: 269.2001 - logits_profile_predictions_loss: 265.6441 - logcount_predictions_loss: 0.3323 191/1106 [====>.........................] - ETA: 2:07 - loss: 269.1970 - logits_profile_predictions_loss: 265.6410 - logcount_predictions_loss: 0.3323 192/1106 [====>.........................] - ETA: 2:06 - loss: 269.1940 - logits_profile_predictions_loss: 265.6379 - logcount_predictions_loss: 0.3323 193/1106 [====>.........................] - ETA: 2:06 - loss: 269.1910 - logits_profile_predictions_loss: 265.6349 - logcount_predictions_loss: 0.3324 194/1106 [====>.........................] - ETA: 2:06 - loss: 269.1880 - logits_profile_predictions_loss: 265.6319 - logcount_predictions_loss: 0.3324 195/1106 [====>.........................] - ETA: 2:06 - loss: 269.1850 - logits_profile_predictions_loss: 265.6288 - logcount_predictions_loss: 0.3324 196/1106 [====>.........................] - ETA: 2:06 - loss: 269.1811 - logits_profile_predictions_loss: 265.6248 - logcount_predictions_loss: 0.3324 197/1106 [====>.........................] - ETA: 2:06 - loss: 269.1775 - logits_profile_predictions_loss: 265.6213 - logcount_predictions_loss: 0.3324 198/1106 [====>.........................] - ETA: 2:06 - loss: 269.1741 - logits_profile_predictions_loss: 265.6179 - logcount_predictions_loss: 0.3324 199/1106 [====>.........................] - ETA: 2:05 - loss: 269.1703 - logits_profile_predictions_loss: 265.6141 - logcount_predictions_loss: 0.3324 200/1106 [====>.........................] - ETA: 2:05 - loss: 269.1671 - logits_profile_predictions_loss: 265.6109 - logcount_predictions_loss: 0.3324 201/1106 [====>.........................] - ETA: 2:05 - loss: 269.1644 - logits_profile_predictions_loss: 265.6083 - logcount_predictions_loss: 0.3324 202/1106 [====>.........................] - ETA: 2:05 - loss: 269.1614 - logits_profile_predictions_loss: 265.6052 - logcount_predictions_loss: 0.3324 203/1106 [====>.........................] - ETA: 2:05 - loss: 269.1594 - logits_profile_predictions_loss: 265.6033 - logcount_predictions_loss: 0.3324 204/1106 [====>.........................] - ETA: 2:05 - loss: 269.1567 - logits_profile_predictions_loss: 265.6006 - logcount_predictions_loss: 0.3323 205/1106 [====>.........................] - ETA: 2:05 - loss: 269.1543 - logits_profile_predictions_loss: 265.5982 - logcount_predictions_loss: 0.3323 206/1106 [====>.........................] - ETA: 2:05 - loss: 269.1515 - logits_profile_predictions_loss: 265.5955 - logcount_predictions_loss: 0.3323 207/1106 [====>.........................] - ETA: 2:04 - loss: 269.1486 - logits_profile_predictions_loss: 265.5926 - logcount_predictions_loss: 0.3323 208/1106 [====>.........................] - ETA: 2:04 - loss: 269.1458 - logits_profile_predictions_loss: 265.5898 - logcount_predictions_loss: 0.3323 209/1106 [====>.........................] - ETA: 2:04 - loss: 269.1428 - logits_profile_predictions_loss: 265.5868 - logcount_predictions_loss: 0.3323 210/1106 [====>.........................] - ETA: 2:04 - loss: 269.1400 - logits_profile_predictions_loss: 265.5841 - logcount_predictions_loss: 0.3323 211/1106 [====>.........................] - ETA: 2:04 - loss: 269.1376 - logits_profile_predictions_loss: 265.5817 - logcount_predictions_loss: 0.3323 212/1106 [====>.........................] - ETA: 2:04 - loss: 269.1351 - logits_profile_predictions_loss: 265.5793 - logcount_predictions_loss: 0.3323 213/1106 [====>.........................] - ETA: 2:04 - loss: 269.1326 - logits_profile_predictions_loss: 265.5768 - logcount_predictions_loss: 0.3323 214/1106 [====>.........................] - ETA: 2:03 - loss: 269.1298 - logits_profile_predictions_loss: 265.5741 - logcount_predictions_loss: 0.3323 215/1106 [====>.........................] - ETA: 2:03 - loss: 269.1274 - logits_profile_predictions_loss: 265.5717 - logcount_predictions_loss: 0.3323 216/1106 [====>.........................] - ETA: 2:03 - loss: 269.1253 - logits_profile_predictions_loss: 265.5698 - logcount_predictions_loss: 0.3323 217/1106 [====>.........................] - ETA: 2:03 - loss: 269.1232 - logits_profile_predictions_loss: 265.5677 - logcount_predictions_loss: 0.3323 218/1106 [====>.........................] - ETA: 2:03 - loss: 269.1213 - logits_profile_predictions_loss: 265.5658 - logcount_predictions_loss: 0.3323 219/1106 [====>.........................] - ETA: 2:03 - loss: 269.1196 - logits_profile_predictions_loss: 265.5641 - logcount_predictions_loss: 0.3323 220/1106 [====>.........................] - ETA: 2:03 - loss: 269.1184 - logits_profile_predictions_loss: 265.5630 - logcount_predictions_loss: 0.3323 221/1106 [====>.........................] - ETA: 2:02 - loss: 269.1176 - logits_profile_predictions_loss: 265.5622 - logcount_predictions_loss: 0.3323 222/1106 [=====>........................] - ETA: 2:02 - loss: 269.1172 - logits_profile_predictions_loss: 265.5619 - logcount_predictions_loss: 0.3323 223/1106 [=====>........................] - ETA: 2:02 - loss: 269.1169 - logits_profile_predictions_loss: 265.5617 - logcount_predictions_loss: 0.3323 224/1106 [=====>........................] - ETA: 2:02 - loss: 269.1165 - logits_profile_predictions_loss: 265.5613 - logcount_predictions_loss: 0.3323 225/1106 [=====>........................] - ETA: 2:02 - loss: 269.1159 - logits_profile_predictions_loss: 265.5607 - logcount_predictions_loss: 0.3323 226/1106 [=====>........................] - ETA: 2:02 - loss: 269.1160 - logits_profile_predictions_loss: 265.5609 - logcount_predictions_loss: 0.3323 227/1106 [=====>........................] - ETA: 2:02 - loss: 269.1158 - logits_profile_predictions_loss: 265.5609 - logcount_predictions_loss: 0.3322 228/1106 [=====>........................] - ETA: 2:01 - loss: 269.1151 - logits_profile_predictions_loss: 265.5603 - logcount_predictions_loss: 0.3322 229/1106 [=====>........................] - ETA: 2:01 - loss: 269.1146 - logits_profile_predictions_loss: 265.5599 - logcount_predictions_loss: 0.3322 230/1106 [=====>........................] - ETA: 2:01 - loss: 269.1138 - logits_profile_predictions_loss: 265.5593 - logcount_predictions_loss: 0.3322 231/1106 [=====>........................] - ETA: 2:01 - loss: 269.1132 - logits_profile_predictions_loss: 265.5588 - logcount_predictions_loss: 0.3322 232/1106 [=====>........................] - ETA: 2:01 - loss: 269.1126 - logits_profile_predictions_loss: 265.5584 - logcount_predictions_loss: 0.3322 233/1106 [=====>........................] - ETA: 2:01 - loss: 269.1119 - logits_profile_predictions_loss: 265.5579 - logcount_predictions_loss: 0.3322 234/1106 [=====>........................] - ETA: 2:01 - loss: 269.1113 - logits_profile_predictions_loss: 265.5573 - logcount_predictions_loss: 0.3321 235/1106 [=====>........................] - ETA: 2:00 - loss: 269.1110 - logits_profile_predictions_loss: 265.5572 - logcount_predictions_loss: 0.3321 236/1106 [=====>........................] - ETA: 2:00 - loss: 269.1111 - logits_profile_predictions_loss: 265.5574 - logcount_predictions_loss: 0.3321 237/1106 [=====>........................] - ETA: 2:00 - loss: 269.1111 - logits_profile_predictions_loss: 265.5575 - logcount_predictions_loss: 0.3321 238/1106 [=====>........................] - ETA: 2:00 - loss: 269.1113 - logits_profile_predictions_loss: 265.5579 - logcount_predictions_loss: 0.3321 239/1106 [=====>........................] - ETA: 2:00 - loss: 269.1113 - logits_profile_predictions_loss: 265.5580 - logcount_predictions_loss: 0.3321 240/1106 [=====>........................] - ETA: 2:00 - loss: 269.1107 - logits_profile_predictions_loss: 265.5576 - logcount_predictions_loss: 0.3321 241/1106 [=====>........................] - ETA: 2:00 - loss: 269.1097 - logits_profile_predictions_loss: 265.5567 - logcount_predictions_loss: 0.3321 242/1106 [=====>........................] - ETA: 1:59 - loss: 269.1088 - logits_profile_predictions_loss: 265.5559 - logcount_predictions_loss: 0.3321 243/1106 [=====>........................] - ETA: 1:59 - loss: 269.1081 - logits_profile_predictions_loss: 265.5554 - logcount_predictions_loss: 0.3320 244/1106 [=====>........................] - ETA: 1:59 - loss: 269.1074 - logits_profile_predictions_loss: 265.5548 - logcount_predictions_loss: 0.3320 245/1106 [=====>........................] - ETA: 1:59 - loss: 269.1066 - logits_profile_predictions_loss: 265.5542 - logcount_predictions_loss: 0.3320 246/1106 [=====>........................] - ETA: 1:59 - loss: 269.1055 - logits_profile_predictions_loss: 265.5532 - logcount_predictions_loss: 0.3320 247/1106 [=====>........................] - ETA: 1:59 - loss: 269.1046 - logits_profile_predictions_loss: 265.5524 - logcount_predictions_loss: 0.3320 248/1106 [=====>........................] - ETA: 1:59 - loss: 269.1033 - logits_profile_predictions_loss: 265.5513 - logcount_predictions_loss: 0.3320 249/1106 [=====>........................] - ETA: 1:59 - loss: 269.1016 - logits_profile_predictions_loss: 265.5498 - logcount_predictions_loss: 0.3320 250/1106 [=====>........................] - ETA: 1:58 - loss: 269.0999 - logits_profile_predictions_loss: 265.5482 - logcount_predictions_loss: 0.3319 251/1106 [=====>........................] - ETA: 1:58 - loss: 269.0978 - logits_profile_predictions_loss: 265.5463 - logcount_predictions_loss: 0.3319 252/1106 [=====>........................] - ETA: 1:58 - loss: 269.0960 - logits_profile_predictions_loss: 265.5446 - logcount_predictions_loss: 0.3319 253/1106 [=====>........................] - ETA: 1:58 - loss: 269.0942 - logits_profile_predictions_loss: 265.5430 - logcount_predictions_loss: 0.3319 254/1106 [=====>........................] - ETA: 1:58 - loss: 269.0923 - logits_profile_predictions_loss: 265.5412 - logcount_predictions_loss: 0.3319 255/1106 [=====>........................] - ETA: 1:58 - loss: 269.0904 - logits_profile_predictions_loss: 265.5395 - logcount_predictions_loss: 0.3319 256/1106 [=====>........................] - ETA: 1:58 - loss: 269.0885 - logits_profile_predictions_loss: 265.5378 - logcount_predictions_loss: 0.3318 257/1106 [=====>........................] - ETA: 1:57 - loss: 269.0864 - logits_profile_predictions_loss: 265.5360 - logcount_predictions_loss: 0.3318 258/1106 [=====>........................] - ETA: 1:57 - loss: 269.0843 - logits_profile_predictions_loss: 265.5340 - logcount_predictions_loss: 0.3318 259/1106 [======>.......................] - ETA: 1:57 - loss: 269.0821 - logits_profile_predictions_loss: 265.5321 - logcount_predictions_loss: 0.3318 260/1106 [======>.......................] - ETA: 1:57 - loss: 269.0799 - logits_profile_predictions_loss: 265.5301 - logcount_predictions_loss: 0.3318 261/1106 [======>.......................] - ETA: 1:57 - loss: 269.0775 - logits_profile_predictions_loss: 265.5280 - logcount_predictions_loss: 0.3317 262/1106 [======>.......................] - ETA: 1:57 - loss: 269.0751 - logits_profile_predictions_loss: 265.5259 - logcount_predictions_loss: 0.3317 263/1106 [======>.......................] - ETA: 1:57 - loss: 269.0729 - logits_profile_predictions_loss: 265.5239 - logcount_predictions_loss: 0.3317 264/1106 [======>.......................] - ETA: 1:56 - loss: 269.0703 - logits_profile_predictions_loss: 265.5216 - logcount_predictions_loss: 0.3317 265/1106 [======>.......................] - ETA: 1:56 - loss: 269.0680 - logits_profile_predictions_loss: 265.5195 - logcount_predictions_loss: 0.3316 266/1106 [======>.......................] - ETA: 1:56 - loss: 269.0656 - logits_profile_predictions_loss: 265.5174 - logcount_predictions_loss: 0.3316 267/1106 [======>.......................] - ETA: 1:56 - loss: 269.0633 - logits_profile_predictions_loss: 265.5154 - logcount_predictions_loss: 0.3316 268/1106 [======>.......................] - ETA: 1:56 - loss: 269.0611 - logits_profile_predictions_loss: 265.5134 - logcount_predictions_loss: 0.3316 269/1106 [======>.......................] - ETA: 1:56 - loss: 269.0585 - logits_profile_predictions_loss: 265.5111 - logcount_predictions_loss: 0.3315 270/1106 [======>.......................] - ETA: 1:56 - loss: 269.0558 - logits_profile_predictions_loss: 265.5085 - logcount_predictions_loss: 0.3315 271/1106 [======>.......................] - ETA: 1:56 - loss: 269.0529 - logits_profile_predictions_loss: 265.5059 - logcount_predictions_loss: 0.3315 272/1106 [======>.......................] - ETA: 1:55 - loss: 269.0503 - logits_profile_predictions_loss: 265.5034 - logcount_predictions_loss: 0.3315 273/1106 [======>.......................] - ETA: 1:55 - loss: 269.0477 - logits_profile_predictions_loss: 265.5010 - logcount_predictions_loss: 0.3315 274/1106 [======>.......................] - ETA: 1:55 - loss: 269.0452 - logits_profile_predictions_loss: 265.4987 - logcount_predictions_loss: 0.3315 275/1106 [======>.......................] - ETA: 1:55 - loss: 269.0428 - logits_profile_predictions_loss: 265.4965 - logcount_predictions_loss: 0.3314 276/1106 [======>.......................] - ETA: 1:55 - loss: 269.0404 - logits_profile_predictions_loss: 265.4943 - logcount_predictions_loss: 0.3314 277/1106 [======>.......................] - ETA: 1:55 - loss: 269.0381 - logits_profile_predictions_loss: 265.4922 - logcount_predictions_loss: 0.3314 278/1106 [======>.......................] - ETA: 1:54 - loss: 269.0359 - logits_profile_predictions_loss: 265.4901 - logcount_predictions_loss: 0.3314 279/1106 [======>.......................] - ETA: 1:54 - loss: 269.0337 - logits_profile_predictions_loss: 265.4882 - logcount_predictions_loss: 0.3314 280/1106 [======>.......................] - ETA: 1:54 - loss: 269.0316 - logits_profile_predictions_loss: 265.4862 - logcount_predictions_loss: 0.3313 281/1106 [======>.......................] - ETA: 1:54 - loss: 269.0294 - logits_profile_predictions_loss: 265.4842 - logcount_predictions_loss: 0.3313 282/1106 [======>.......................] - ETA: 1:54 - loss: 269.0274 - logits_profile_predictions_loss: 265.4824 - logcount_predictions_loss: 0.3313 283/1106 [======>.......................] - ETA: 1:54 - loss: 269.0251 - 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[============================>.] - ETA: 0s - loss: 268.0505 - logits_profile_predictions_loss: 264.5656 - logcount_predictions_loss: 0.3257 1103/1106 [============================>.] - ETA: 0s - loss: 268.0497 - logits_profile_predictions_loss: 264.5648 - logcount_predictions_loss: 0.3257 1104/1106 [============================>.] - ETA: 0s - loss: 268.0489 - logits_profile_predictions_loss: 264.5641 - logcount_predictions_loss: 0.3257 1105/1106 [============================>.] - ETA: 0s - loss: 268.0482 - logits_profile_predictions_loss: 264.5634 - logcount_predictions_loss: 0.3257 1106/1106 [==============================] - ETA: 0s - loss: 268.0474 - logits_profile_predictions_loss: 264.5627 - logcount_predictions_loss: 0.3257 1106/1106 [==============================] - 160s 145ms/step - loss: 268.0466 - logits_profile_predictions_loss: 264.5619 - logcount_predictions_loss: 0.3257 - val_loss: 275.2619 - val_logits_profile_predictions_loss: 271.7171 - val_logcount_predictions_loss: 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[..............................] - ETA: 2:29 - loss: 266.3099 - logits_profile_predictions_loss: 263.0466 - logcount_predictions_loss: 0.3050 27/1106 [..............................] - ETA: 2:29 - loss: 266.3766 - logits_profile_predictions_loss: 263.1178 - logcount_predictions_loss: 0.3046 28/1106 [..............................] - ETA: 2:29 - loss: 266.4240 - logits_profile_predictions_loss: 263.1690 - logcount_predictions_loss: 0.3042 29/1106 [..............................] - ETA: 2:29 - loss: 266.4496 - logits_profile_predictions_loss: 263.1974 - logcount_predictions_loss: 0.3039 30/1106 [..............................] - ETA: 2:29 - loss: 266.4491 - logits_profile_predictions_loss: 263.1996 - logcount_predictions_loss: 0.3037 31/1106 [..............................] - ETA: 2:29 - loss: 266.4661 - logits_profile_predictions_loss: 263.2191 - logcount_predictions_loss: 0.3035 32/1106 [..............................] - ETA: 2:29 - loss: 266.4801 - logits_profile_predictions_loss: 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loss: 266.6548 - logits_profile_predictions_loss: 263.4122 - logcount_predictions_loss: 0.3031 40/1106 [>.............................] - ETA: 2:27 - loss: 266.6691 - logits_profile_predictions_loss: 263.4267 - logcount_predictions_loss: 0.3030 41/1106 [>.............................] - ETA: 2:27 - loss: 266.6739 - logits_profile_predictions_loss: 263.4315 - logcount_predictions_loss: 0.3030 42/1106 [>.............................] - ETA: 2:27 - loss: 266.6889 - logits_profile_predictions_loss: 263.4460 - logcount_predictions_loss: 0.3031 43/1106 [>.............................] - ETA: 2:27 - loss: 266.6989 - logits_profile_predictions_loss: 263.4560 - logcount_predictions_loss: 0.3031 44/1106 [>.............................] - ETA: 2:27 - loss: 266.7074 - logits_profile_predictions_loss: 263.4647 - logcount_predictions_loss: 0.3031 45/1106 [>.............................] - ETA: 2:27 - loss: 266.7251 - logits_profile_predictions_loss: 263.4826 - logcount_predictions_loss: 0.3030 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logits_profile_predictions_loss: 264.2472 - logcount_predictions_loss: 0.3020 86/1106 [=>............................] - ETA: 2:21 - loss: 267.4941 - logits_profile_predictions_loss: 264.2633 - logcount_predictions_loss: 0.3020 87/1106 [=>............................] - ETA: 2:21 - loss: 267.5103 - logits_profile_predictions_loss: 264.2796 - logcount_predictions_loss: 0.3019 88/1106 [=>............................] - ETA: 2:21 - loss: 267.5278 - logits_profile_predictions_loss: 264.2969 - logcount_predictions_loss: 0.3020 89/1106 [=>............................] - ETA: 2:21 - loss: 267.5404 - logits_profile_predictions_loss: 264.3094 - logcount_predictions_loss: 0.3020 90/1106 [=>............................] - ETA: 2:20 - loss: 267.5525 - logits_profile_predictions_loss: 264.3214 - logcount_predictions_loss: 0.3020 91/1106 [=>............................] - ETA: 2:20 - loss: 267.5631 - logits_profile_predictions_loss: 264.3319 - logcount_predictions_loss: 0.3020 92/1106 [=>............................] - ETA: 2:20 - loss: 267.5724 - logits_profile_predictions_loss: 264.3411 - logcount_predictions_loss: 0.3020 93/1106 [=>............................] - ETA: 2:20 - loss: 267.5811 - logits_profile_predictions_loss: 264.3496 - logcount_predictions_loss: 0.3020 94/1106 [=>............................] - ETA: 2:20 - loss: 267.5894 - logits_profile_predictions_loss: 264.3575 - logcount_predictions_loss: 0.3020 95/1106 [=>............................] - ETA: 2:20 - loss: 267.5967 - logits_profile_predictions_loss: 264.3645 - logcount_predictions_loss: 0.3021 96/1106 [=>............................] - ETA: 2:20 - loss: 267.6042 - logits_profile_predictions_loss: 264.3716 - logcount_predictions_loss: 0.3021 97/1106 [=>............................] - ETA: 2:19 - loss: 267.6123 - logits_profile_predictions_loss: 264.3792 - logcount_predictions_loss: 0.3022 98/1106 [=>............................] - ETA: 2:19 - loss: 267.6181 - logits_profile_predictions_loss: 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0.3032 112/1106 [==>...........................] - ETA: 2:17 - loss: 267.6933 - logits_profile_predictions_loss: 264.4479 - logcount_predictions_loss: 0.3033 113/1106 [==>...........................] - ETA: 2:17 - loss: 267.6954 - logits_profile_predictions_loss: 264.4490 - logcount_predictions_loss: 0.3034 114/1106 [==>...........................] - ETA: 2:17 - loss: 267.6983 - logits_profile_predictions_loss: 264.4510 - logcount_predictions_loss: 0.3035 115/1106 [==>...........................] - ETA: 2:17 - loss: 267.7000 - logits_profile_predictions_loss: 264.4518 - logcount_predictions_loss: 0.3036 116/1106 [==>...........................] - ETA: 2:17 - loss: 267.7009 - logits_profile_predictions_loss: 264.4517 - logcount_predictions_loss: 0.3037 117/1106 [==>...........................] - ETA: 2:17 - loss: 267.7022 - logits_profile_predictions_loss: 264.4521 - logcount_predictions_loss: 0.3038 118/1106 [==>...........................] - ETA: 2:16 - loss: 267.7035 - 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[==>...........................] - ETA: 2:16 - loss: 267.7106 - logits_profile_predictions_loss: 264.4530 - logcount_predictions_loss: 0.3045 126/1106 [==>...........................] - ETA: 2:15 - loss: 267.7108 - logits_profile_predictions_loss: 264.4523 - logcount_predictions_loss: 0.3045 127/1106 [==>...........................] - ETA: 2:15 - loss: 267.7124 - logits_profile_predictions_loss: 264.4530 - logcount_predictions_loss: 0.3046 128/1106 [==>...........................] - ETA: 2:15 - loss: 267.7131 - logits_profile_predictions_loss: 264.4527 - logcount_predictions_loss: 0.3047 129/1106 [==>...........................] - ETA: 2:15 - loss: 267.7139 - logits_profile_predictions_loss: 264.4526 - logcount_predictions_loss: 0.3048 130/1106 [==>...........................] - ETA: 2:15 - loss: 267.7160 - logits_profile_predictions_loss: 264.4538 - logcount_predictions_loss: 0.3049 131/1106 [==>...........................] - ETA: 2:15 - loss: 267.7188 - 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[==>...........................] - ETA: 2:14 - loss: 267.7458 - logits_profile_predictions_loss: 264.4774 - logcount_predictions_loss: 0.3055 139/1106 [==>...........................] - ETA: 2:14 - loss: 267.7490 - logits_profile_predictions_loss: 264.4799 - logcount_predictions_loss: 0.3055 140/1106 [==>...........................] - ETA: 2:13 - loss: 267.7512 - logits_profile_predictions_loss: 264.4813 - logcount_predictions_loss: 0.3056 141/1106 [==>...........................] - ETA: 2:13 - loss: 267.7538 - logits_profile_predictions_loss: 264.4832 - logcount_predictions_loss: 0.3057 142/1106 [==>...........................] - ETA: 2:13 - loss: 267.7553 - logits_profile_predictions_loss: 264.4840 - logcount_predictions_loss: 0.3057 143/1106 [==>...........................] - ETA: 2:13 - loss: 267.7557 - logits_profile_predictions_loss: 264.4837 - logcount_predictions_loss: 0.3058 144/1106 [==>...........................] - ETA: 2:13 - loss: 267.7564 - 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[===>..........................] - ETA: 2:12 - loss: 267.7681 - logits_profile_predictions_loss: 264.4914 - logcount_predictions_loss: 0.3062 152/1106 [===>..........................] - ETA: 2:12 - loss: 267.7705 - logits_profile_predictions_loss: 264.4932 - logcount_predictions_loss: 0.3063 153/1106 [===>..........................] - ETA: 2:12 - loss: 267.7726 - logits_profile_predictions_loss: 264.4948 - logcount_predictions_loss: 0.3063 154/1106 [===>..........................] - ETA: 2:12 - loss: 267.7748 - logits_profile_predictions_loss: 264.4964 - logcount_predictions_loss: 0.3064 155/1106 [===>..........................] - ETA: 2:11 - loss: 267.7769 - logits_profile_predictions_loss: 264.4980 - logcount_predictions_loss: 0.3064 156/1106 [===>..........................] - ETA: 2:11 - loss: 267.7790 - logits_profile_predictions_loss: 264.4996 - logcount_predictions_loss: 0.3065 157/1106 [===>..........................] - ETA: 2:11 - loss: 267.7817 - 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[===>..........................] - ETA: 2:10 - loss: 267.7894 - logits_profile_predictions_loss: 264.5061 - logcount_predictions_loss: 0.3068 165/1106 [===>..........................] - ETA: 2:10 - loss: 267.7890 - logits_profile_predictions_loss: 264.5052 - logcount_predictions_loss: 0.3069 166/1106 [===>..........................] - ETA: 2:10 - loss: 267.7884 - logits_profile_predictions_loss: 264.5041 - logcount_predictions_loss: 0.3069 167/1106 [===>..........................] - ETA: 2:10 - loss: 267.7876 - logits_profile_predictions_loss: 264.5029 - logcount_predictions_loss: 0.3070 168/1106 [===>..........................] - ETA: 2:10 - loss: 267.7862 - logits_profile_predictions_loss: 264.5009 - logcount_predictions_loss: 0.3070 169/1106 [===>..........................] - ETA: 2:09 - loss: 267.7844 - logits_profile_predictions_loss: 264.4988 - logcount_predictions_loss: 0.3071 170/1106 [===>..........................] - ETA: 2:09 - loss: 267.7833 - 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[===>..........................] - ETA: 2:08 - loss: 267.7644 - logits_profile_predictions_loss: 264.4754 - logcount_predictions_loss: 0.3074 178/1106 [===>..........................] - ETA: 2:08 - loss: 267.7611 - logits_profile_predictions_loss: 264.4718 - logcount_predictions_loss: 0.3074 179/1106 [===>..........................] - ETA: 2:08 - loss: 267.7582 - logits_profile_predictions_loss: 264.4685 - logcount_predictions_loss: 0.3074 180/1106 [===>..........................] - ETA: 2:08 - loss: 267.7549 - logits_profile_predictions_loss: 264.4650 - logcount_predictions_loss: 0.3075 181/1106 [===>..........................] - ETA: 2:08 - loss: 267.7510 - logits_profile_predictions_loss: 264.4607 - logcount_predictions_loss: 0.3075 182/1106 [===>..........................] - ETA: 2:08 - loss: 267.7466 - logits_profile_predictions_loss: 264.4560 - logcount_predictions_loss: 0.3075 183/1106 [===>..........................] - ETA: 2:08 - loss: 267.7427 - 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[====>.........................] - ETA: 2:07 - loss: 267.7090 - logits_profile_predictions_loss: 264.4166 - logcount_predictions_loss: 0.3077 191/1106 [====>.........................] - ETA: 2:06 - loss: 267.7033 - logits_profile_predictions_loss: 264.4107 - logcount_predictions_loss: 0.3077 192/1106 [====>.........................] - ETA: 2:06 - loss: 267.6976 - logits_profile_predictions_loss: 264.4048 - logcount_predictions_loss: 0.3077 193/1106 [====>.........................] - ETA: 2:06 - loss: 267.6924 - logits_profile_predictions_loss: 264.3995 - logcount_predictions_loss: 0.3078 194/1106 [====>.........................] - ETA: 2:06 - loss: 267.6876 - logits_profile_predictions_loss: 264.3944 - logcount_predictions_loss: 0.3078 195/1106 [====>.........................] - ETA: 2:06 - loss: 267.6826 - logits_profile_predictions_loss: 264.3892 - logcount_predictions_loss: 0.3078 196/1106 [====>.........................] - ETA: 2:06 - loss: 267.6775 - 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[====>.........................] - ETA: 2:05 - loss: 267.6493 - logits_profile_predictions_loss: 264.3543 - logcount_predictions_loss: 0.3079 204/1106 [====>.........................] - ETA: 2:05 - loss: 267.6447 - logits_profile_predictions_loss: 264.3495 - logcount_predictions_loss: 0.3080 205/1106 [====>.........................] - ETA: 2:04 - loss: 267.6397 - logits_profile_predictions_loss: 264.3443 - logcount_predictions_loss: 0.3080 206/1106 [====>.........................] - ETA: 2:04 - loss: 267.6347 - logits_profile_predictions_loss: 264.3391 - logcount_predictions_loss: 0.3080 207/1106 [====>.........................] - ETA: 2:04 - loss: 267.6297 - logits_profile_predictions_loss: 264.3339 - logcount_predictions_loss: 0.3080 208/1106 [====>.........................] - ETA: 2:04 - loss: 267.6245 - logits_profile_predictions_loss: 264.3285 - logcount_predictions_loss: 0.3080 209/1106 [====>.........................] - ETA: 2:04 - loss: 267.6194 - 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[====>.........................] - ETA: 2:03 - loss: 267.5879 - logits_profile_predictions_loss: 264.2905 - logcount_predictions_loss: 0.3082 217/1106 [====>.........................] - ETA: 2:03 - loss: 267.5840 - logits_profile_predictions_loss: 264.2865 - logcount_predictions_loss: 0.3082 218/1106 [====>.........................] - ETA: 2:03 - loss: 267.5797 - logits_profile_predictions_loss: 264.2821 - logcount_predictions_loss: 0.3082 219/1106 [====>.........................] - ETA: 2:03 - loss: 267.5755 - logits_profile_predictions_loss: 264.2778 - logcount_predictions_loss: 0.3082 220/1106 [====>.........................] - ETA: 2:02 - loss: 267.5718 - logits_profile_predictions_loss: 264.2740 - logcount_predictions_loss: 0.3082 221/1106 [====>.........................] - ETA: 2:02 - loss: 267.5679 - logits_profile_predictions_loss: 264.2699 - logcount_predictions_loss: 0.3082 222/1106 [=====>........................] - ETA: 2:02 - loss: 267.5636 - 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[=====>........................] - ETA: 2:01 - loss: 267.5330 - logits_profile_predictions_loss: 264.2345 - logcount_predictions_loss: 0.3083 230/1106 [=====>........................] - ETA: 2:01 - loss: 267.5283 - logits_profile_predictions_loss: 264.2297 - logcount_predictions_loss: 0.3083 231/1106 [=====>........................] - ETA: 2:01 - loss: 267.5232 - logits_profile_predictions_loss: 264.2246 - logcount_predictions_loss: 0.3083 232/1106 [=====>........................] - ETA: 2:01 - loss: 267.5181 - logits_profile_predictions_loss: 264.2194 - logcount_predictions_loss: 0.3083 233/1106 [=====>........................] - ETA: 2:01 - loss: 267.5129 - logits_profile_predictions_loss: 264.2141 - logcount_predictions_loss: 0.3083 234/1106 [=====>........................] - ETA: 2:00 - loss: 267.5078 - logits_profile_predictions_loss: 264.2089 - logcount_predictions_loss: 0.3083 235/1106 [=====>........................] - ETA: 2:00 - loss: 267.5030 - 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[=====>........................] - ETA: 1:59 - loss: 267.4645 - logits_profile_predictions_loss: 264.1650 - logcount_predictions_loss: 0.3084 243/1106 [=====>........................] - ETA: 1:59 - loss: 267.4582 - logits_profile_predictions_loss: 264.1586 - logcount_predictions_loss: 0.3084 244/1106 [=====>........................] - ETA: 1:59 - loss: 267.4516 - logits_profile_predictions_loss: 264.1520 - logcount_predictions_loss: 0.3084 245/1106 [=====>........................] - ETA: 1:59 - loss: 267.4450 - logits_profile_predictions_loss: 264.1454 - logcount_predictions_loss: 0.3084 246/1106 [=====>........................] - ETA: 1:59 - loss: 267.4386 - logits_profile_predictions_loss: 264.1388 - logcount_predictions_loss: 0.3084 247/1106 [=====>........................] - ETA: 1:59 - loss: 267.4322 - logits_profile_predictions_loss: 264.1324 - logcount_predictions_loss: 0.3084 248/1106 [=====>........................] - ETA: 1:59 - loss: 267.4254 - 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[=====>........................] - ETA: 1:58 - loss: 267.3743 - logits_profile_predictions_loss: 264.0744 - logcount_predictions_loss: 0.3084 256/1106 [=====>........................] - ETA: 1:57 - loss: 267.3665 - logits_profile_predictions_loss: 264.0666 - logcount_predictions_loss: 0.3084 257/1106 [=====>........................] - ETA: 1:57 - loss: 267.3585 - logits_profile_predictions_loss: 264.0586 - logcount_predictions_loss: 0.3084 258/1106 [=====>........................] - ETA: 1:57 - loss: 267.3506 - logits_profile_predictions_loss: 264.0507 - logcount_predictions_loss: 0.3084 259/1106 [======>.......................] - ETA: 1:57 - loss: 267.3427 - logits_profile_predictions_loss: 264.0428 - logcount_predictions_loss: 0.3084 260/1106 [======>.......................] - ETA: 1:57 - loss: 267.3346 - logits_profile_predictions_loss: 264.0347 - logcount_predictions_loss: 0.3084 261/1106 [======>.......................] - ETA: 1:57 - loss: 267.3267 - 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[======>.......................] - ETA: 1:56 - loss: 267.2730 - logits_profile_predictions_loss: 263.9730 - logcount_predictions_loss: 0.3084 269/1106 [======>.......................] - ETA: 1:56 - loss: 267.2655 - logits_profile_predictions_loss: 263.9656 - logcount_predictions_loss: 0.3084 270/1106 [======>.......................] - ETA: 1:56 - loss: 267.2581 - logits_profile_predictions_loss: 263.9582 - logcount_predictions_loss: 0.3084 271/1106 [======>.......................] - ETA: 1:55 - loss: 267.2505 - logits_profile_predictions_loss: 263.9505 - logcount_predictions_loss: 0.3084 272/1106 [======>.......................] - ETA: 1:55 - loss: 267.2431 - logits_profile_predictions_loss: 263.9431 - logcount_predictions_loss: 0.3084 273/1106 [======>.......................] - ETA: 1:55 - loss: 267.2355 - logits_profile_predictions_loss: 263.9355 - logcount_predictions_loss: 0.3084 274/1106 [======>.......................] - ETA: 1:55 - loss: 267.2280 - 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[======>.......................] - ETA: 1:54 - loss: 267.1805 - logits_profile_predictions_loss: 263.8806 - logcount_predictions_loss: 0.3084 282/1106 [======>.......................] - ETA: 1:54 - loss: 267.1747 - logits_profile_predictions_loss: 263.8748 - logcount_predictions_loss: 0.3084 283/1106 [======>.......................] - ETA: 1:54 - loss: 267.1694 - logits_profile_predictions_loss: 263.8695 - logcount_predictions_loss: 0.3084 284/1106 [======>.......................] - ETA: 1:54 - loss: 267.1641 - logits_profile_predictions_loss: 263.8642 - logcount_predictions_loss: 0.3084 285/1106 [======>.......................] - ETA: 1:53 - loss: 267.1587 - logits_profile_predictions_loss: 263.8588 - logcount_predictions_loss: 0.3084 286/1106 [======>.......................] - ETA: 1:53 - loss: 267.1533 - logits_profile_predictions_loss: 263.8535 - logcount_predictions_loss: 0.3084 287/1106 [======>.......................] - ETA: 1:53 - loss: 267.1481 - 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[======>.......................] - ETA: 1:52 - loss: 267.1088 - logits_profile_predictions_loss: 263.8095 - logcount_predictions_loss: 0.3083 295/1106 [=======>......................] - ETA: 1:52 - loss: 267.1032 - logits_profile_predictions_loss: 263.8040 - logcount_predictions_loss: 0.3083 296/1106 [=======>......................] - ETA: 1:52 - loss: 267.0975 - logits_profile_predictions_loss: 263.7983 - logcount_predictions_loss: 0.3083 297/1106 [=======>......................] - ETA: 1:52 - loss: 267.0919 - logits_profile_predictions_loss: 263.7928 - logcount_predictions_loss: 0.3083 298/1106 [=======>......................] - ETA: 1:52 - loss: 267.0862 - logits_profile_predictions_loss: 263.7873 - logcount_predictions_loss: 0.3083 299/1106 [=======>......................] - ETA: 1:52 - loss: 267.0806 - logits_profile_predictions_loss: 263.7818 - logcount_predictions_loss: 0.3083 300/1106 [=======>......................] - ETA: 1:51 - loss: 267.0751 - 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logits_profile_predictions_loss: 262.5584 - logcount_predictions_loss: 0.3030 1100/1106 [============================>.] - ETA: 0s - loss: 265.8000 - logits_profile_predictions_loss: 262.5582 - logcount_predictions_loss: 0.3030 1101/1106 [============================>.] - ETA: 0s - loss: 265.7998 - logits_profile_predictions_loss: 262.5581 - logcount_predictions_loss: 0.3030 1102/1106 [============================>.] - ETA: 0s - loss: 265.7996 - logits_profile_predictions_loss: 262.5579 - logcount_predictions_loss: 0.3030 1103/1106 [============================>.] - ETA: 0s - loss: 265.7994 - logits_profile_predictions_loss: 262.5578 - logcount_predictions_loss: 0.3030 1104/1106 [============================>.] - ETA: 0s - loss: 265.7992 - logits_profile_predictions_loss: 262.5576 - logcount_predictions_loss: 0.3029 1105/1106 [============================>.] - ETA: 0s - loss: 265.7990 - logits_profile_predictions_loss: 262.5574 - logcount_predictions_loss: 0.3029 1106/1106 [==============================] - ETA: 0s - loss: 265.7988 - logits_profile_predictions_loss: 262.5573 - logcount_predictions_loss: 0.3029 1106/1106 [==============================] - 160s 145ms/step - loss: 265.7986 - logits_profile_predictions_loss: 262.5571 - logcount_predictions_loss: 0.3029 - val_loss: 276.3211 - val_logits_profile_predictions_loss: 272.8139 - val_logcount_predictions_loss: 0.3278 + +Epoch 00006: val_loss did not improve from 275.26187 +Epoch 7/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 239.3045 - logits_profile_predictions_loss: 237.1812 - logcount_predictions_loss: 0.1984 2/1106 [..............................] - ETA: 2:38 - loss: 249.8241 - logits_profile_predictions_loss: 247.4417 - logcount_predictions_loss: 0.2227 3/1106 [..............................] - ETA: 2:35 - loss: 255.0530 - logits_profile_predictions_loss: 252.5385 - logcount_predictions_loss: 0.2350 4/1106 [..............................] - ETA: 2:34 - loss: 258.1161 - logits_profile_predictions_loss: 255.5758 - logcount_predictions_loss: 0.2374 5/1106 [..............................] - ETA: 2:33 - loss: 258.8018 - logits_profile_predictions_loss: 256.2505 - logcount_predictions_loss: 0.2384 6/1106 [..............................] - ETA: 2:33 - loss: 259.3643 - logits_profile_predictions_loss: 256.8088 - logcount_predictions_loss: 0.2388 7/1106 [..............................] - ETA: 2:33 - loss: 260.4746 - logits_profile_predictions_loss: 257.9016 - logcount_predictions_loss: 0.2405 8/1106 [..............................] - ETA: 2:32 - loss: 261.3642 - logits_profile_predictions_loss: 258.7676 - logcount_predictions_loss: 0.2427 9/1106 [..............................] - ETA: 2:32 - loss: 262.0874 - logits_profile_predictions_loss: 259.4709 - logcount_predictions_loss: 0.2445 10/1106 [..............................] - ETA: 2:32 - loss: 262.5373 - logits_profile_predictions_loss: 259.9001 - logcount_predictions_loss: 0.2465 11/1106 [..............................] - ETA: 2:32 - loss: 262.9686 - logits_profile_predictions_loss: 260.3137 - logcount_predictions_loss: 0.2481 12/1106 [..............................] - ETA: 2:32 - loss: 263.4324 - logits_profile_predictions_loss: 260.7562 - logcount_predictions_loss: 0.2501 13/1106 [..............................] - ETA: 2:31 - loss: 263.9018 - logits_profile_predictions_loss: 261.2090 - logcount_predictions_loss: 0.2517 14/1106 [..............................] - ETA: 2:31 - loss: 264.3061 - logits_profile_predictions_loss: 261.6008 - logcount_predictions_loss: 0.2528 15/1106 [..............................] - ETA: 2:31 - loss: 264.5820 - logits_profile_predictions_loss: 261.8657 - logcount_predictions_loss: 0.2539 16/1106 [..............................] - ETA: 2:31 - loss: 264.8540 - logits_profile_predictions_loss: 262.1278 - logcount_predictions_loss: 0.2548 17/1106 [..............................] - ETA: 2:31 - loss: 265.1875 - logits_profile_predictions_loss: 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loss: 266.4257 - logits_profile_predictions_loss: 263.6348 - logcount_predictions_loss: 0.2608 25/1106 [..............................] - ETA: 2:30 - loss: 266.5128 - logits_profile_predictions_loss: 263.7142 - logcount_predictions_loss: 0.2616 26/1106 [..............................] - ETA: 2:30 - loss: 266.6272 - logits_profile_predictions_loss: 263.8225 - logcount_predictions_loss: 0.2621 27/1106 [..............................] - ETA: 2:29 - loss: 266.7464 - logits_profile_predictions_loss: 263.9359 - logcount_predictions_loss: 0.2627 28/1106 [..............................] - ETA: 2:29 - loss: 266.8558 - logits_profile_predictions_loss: 264.0402 - logcount_predictions_loss: 0.2631 29/1106 [..............................] - ETA: 2:29 - loss: 266.9775 - logits_profile_predictions_loss: 264.1576 - logcount_predictions_loss: 0.2635 30/1106 [..............................] - ETA: 2:29 - loss: 267.1060 - logits_profile_predictions_loss: 264.2825 - logcount_predictions_loss: 0.2639 31/1106 [..............................] - ETA: 2:29 - loss: 267.2073 - logits_profile_predictions_loss: 264.3799 - logcount_predictions_loss: 0.2642 32/1106 [..............................] - ETA: 2:29 - loss: 267.2911 - logits_profile_predictions_loss: 264.4606 - logcount_predictions_loss: 0.2645 33/1106 [..............................] - ETA: 2:29 - loss: 267.3558 - logits_profile_predictions_loss: 264.5225 - logcount_predictions_loss: 0.2648 34/1106 [..............................] - ETA: 2:28 - loss: 267.4164 - logits_profile_predictions_loss: 264.5799 - logcount_predictions_loss: 0.2651 35/1106 [..............................] - ETA: 2:28 - loss: 267.4845 - logits_profile_predictions_loss: 264.6449 - logcount_predictions_loss: 0.2654 36/1106 [..............................] - ETA: 2:28 - loss: 267.5486 - logits_profile_predictions_loss: 264.7062 - logcount_predictions_loss: 0.2657 37/1106 [>.............................] - ETA: 2:28 - loss: 267.6160 - logits_profile_predictions_loss: 264.7708 - logcount_predictions_loss: 0.2659 38/1106 [>.............................] - ETA: 2:28 - loss: 267.6844 - logits_profile_predictions_loss: 264.8362 - logcount_predictions_loss: 0.2662 39/1106 [>.............................] - ETA: 2:28 - loss: 267.7373 - logits_profile_predictions_loss: 264.8868 - logcount_predictions_loss: 0.2664 40/1106 [>.............................] - ETA: 2:28 - loss: 267.7948 - logits_profile_predictions_loss: 264.9419 - logcount_predictions_loss: 0.2666 41/1106 [>.............................] - ETA: 2:27 - loss: 267.8219 - logits_profile_predictions_loss: 264.9664 - logcount_predictions_loss: 0.2669 42/1106 [>.............................] - ETA: 2:27 - loss: 267.8363 - logits_profile_predictions_loss: 264.9783 - logcount_predictions_loss: 0.2671 43/1106 [>.............................] - ETA: 2:27 - loss: 267.8495 - logits_profile_predictions_loss: 264.9889 - logcount_predictions_loss: 0.2673 44/1106 [>.............................] - ETA: 2:27 - loss: 267.8434 - logits_profile_predictions_loss: 264.9806 - logcount_predictions_loss: 0.2675 45/1106 [>.............................] - ETA: 2:27 - loss: 267.8531 - logits_profile_predictions_loss: 264.9886 - logcount_predictions_loss: 0.2677 46/1106 [>.............................] - ETA: 2:27 - loss: 267.8595 - logits_profile_predictions_loss: 264.9935 - logcount_predictions_loss: 0.2678 47/1106 [>.............................] - ETA: 2:27 - loss: 267.8620 - logits_profile_predictions_loss: 264.9938 - logcount_predictions_loss: 0.2681 48/1106 [>.............................] - ETA: 2:26 - loss: 267.8705 - logits_profile_predictions_loss: 265.0000 - logcount_predictions_loss: 0.2683 49/1106 [>.............................] - ETA: 2:26 - loss: 267.8709 - logits_profile_predictions_loss: 264.9987 - logcount_predictions_loss: 0.2684 50/1106 [>.............................] - ETA: 2:26 - loss: 267.8696 - logits_profile_predictions_loss: 264.9958 - logcount_predictions_loss: 0.2686 51/1106 [>.............................] - ETA: 2:26 - loss: 267.8652 - logits_profile_predictions_loss: 264.9897 - logcount_predictions_loss: 0.2687 52/1106 [>.............................] - ETA: 2:26 - loss: 267.8538 - logits_profile_predictions_loss: 264.9767 - logcount_predictions_loss: 0.2689 53/1106 [>.............................] - ETA: 2:26 - loss: 267.8343 - logits_profile_predictions_loss: 264.9554 - logcount_predictions_loss: 0.2691 54/1106 [>.............................] - ETA: 2:26 - loss: 267.8156 - logits_profile_predictions_loss: 264.9351 - logcount_predictions_loss: 0.2692 55/1106 [>.............................] - ETA: 2:25 - loss: 267.7962 - logits_profile_predictions_loss: 264.9142 - logcount_predictions_loss: 0.2693 56/1106 [>.............................] - ETA: 2:25 - loss: 267.7708 - logits_profile_predictions_loss: 264.8872 - logcount_predictions_loss: 0.2695 57/1106 [>.............................] - ETA: 2:25 - loss: 267.7420 - logits_profile_predictions_loss: 264.8570 - logcount_predictions_loss: 0.2696 58/1106 [>.............................] - ETA: 2:25 - loss: 267.7095 - logits_profile_predictions_loss: 264.8228 - logcount_predictions_loss: 0.2698 59/1106 [>.............................] - ETA: 2:25 - loss: 267.6723 - logits_profile_predictions_loss: 264.7840 - logcount_predictions_loss: 0.2699 60/1106 [>.............................] - ETA: 2:25 - loss: 267.6314 - logits_profile_predictions_loss: 264.7415 - logcount_predictions_loss: 0.2701 61/1106 [>.............................] - ETA: 2:25 - loss: 267.5896 - logits_profile_predictions_loss: 264.6983 - logcount_predictions_loss: 0.2702 62/1106 [>.............................] - ETA: 2:25 - loss: 267.5462 - logits_profile_predictions_loss: 264.6535 - logcount_predictions_loss: 0.2704 63/1106 [>.............................] - ETA: 2:25 - loss: 267.5059 - logits_profile_predictions_loss: 264.6116 - logcount_predictions_loss: 0.2705 64/1106 [>.............................] - ETA: 2:24 - loss: 267.4676 - logits_profile_predictions_loss: 264.5717 - logcount_predictions_loss: 0.2706 65/1106 [>.............................] - ETA: 2:24 - loss: 267.4328 - logits_profile_predictions_loss: 264.5355 - logcount_predictions_loss: 0.2708 66/1106 [>.............................] - ETA: 2:24 - loss: 267.3969 - logits_profile_predictions_loss: 264.4982 - logcount_predictions_loss: 0.2709 67/1106 [>.............................] - ETA: 2:24 - loss: 267.3689 - logits_profile_predictions_loss: 264.4687 - logcount_predictions_loss: 0.2711 68/1106 [>.............................] - ETA: 2:24 - loss: 267.3370 - logits_profile_predictions_loss: 264.4354 - logcount_predictions_loss: 0.2712 69/1106 [>.............................] - ETA: 2:24 - loss: 267.3021 - logits_profile_predictions_loss: 264.3992 - logcount_predictions_loss: 0.2713 70/1106 [>.............................] - ETA: 2:24 - loss: 267.2712 - logits_profile_predictions_loss: 264.3670 - logcount_predictions_loss: 0.2714 71/1106 [>.............................] - ETA: 2:23 - loss: 267.2409 - logits_profile_predictions_loss: 264.3357 - logcount_predictions_loss: 0.2715 72/1106 [>.............................] - ETA: 2:23 - loss: 267.2120 - logits_profile_predictions_loss: 264.3057 - logcount_predictions_loss: 0.2716 73/1106 [>.............................] - ETA: 2:23 - loss: 267.1798 - logits_profile_predictions_loss: 264.2725 - logcount_predictions_loss: 0.2717 74/1106 [=>............................] - ETA: 2:23 - loss: 267.1447 - logits_profile_predictions_loss: 264.2361 - logcount_predictions_loss: 0.2718 75/1106 [=>............................] - ETA: 2:23 - loss: 267.1106 - logits_profile_predictions_loss: 264.2005 - logcount_predictions_loss: 0.2720 76/1106 [=>............................] - ETA: 2:23 - loss: 267.0743 - logits_profile_predictions_loss: 264.1629 - logcount_predictions_loss: 0.2721 77/1106 [=>............................] - ETA: 2:23 - loss: 267.0366 - logits_profile_predictions_loss: 264.1238 - logcount_predictions_loss: 0.2722 78/1106 [=>............................] - ETA: 2:22 - loss: 266.9989 - logits_profile_predictions_loss: 264.0848 - logcount_predictions_loss: 0.2724 79/1106 [=>............................] - ETA: 2:22 - loss: 266.9648 - logits_profile_predictions_loss: 264.0493 - logcount_predictions_loss: 0.2725 80/1106 [=>............................] - ETA: 2:22 - loss: 266.9402 - logits_profile_predictions_loss: 264.0234 - logcount_predictions_loss: 0.2726 81/1106 [=>............................] - ETA: 2:22 - loss: 266.9200 - logits_profile_predictions_loss: 264.0018 - logcount_predictions_loss: 0.2727 82/1106 [=>............................] - ETA: 2:22 - loss: 266.8978 - logits_profile_predictions_loss: 263.9782 - logcount_predictions_loss: 0.2729 83/1106 [=>............................] - ETA: 2:22 - loss: 266.8756 - logits_profile_predictions_loss: 263.9547 - logcount_predictions_loss: 0.2730 84/1106 [=>............................] - ETA: 2:22 - loss: 266.8522 - logits_profile_predictions_loss: 263.9300 - logcount_predictions_loss: 0.2731 85/1106 [=>............................] - ETA: 2:21 - loss: 266.8315 - logits_profile_predictions_loss: 263.9080 - logcount_predictions_loss: 0.2732 86/1106 [=>............................] - ETA: 2:21 - loss: 266.8141 - logits_profile_predictions_loss: 263.8894 - logcount_predictions_loss: 0.2733 87/1106 [=>............................] - ETA: 2:21 - loss: 266.7968 - logits_profile_predictions_loss: 263.8710 - logcount_predictions_loss: 0.2734 88/1106 [=>............................] - ETA: 2:21 - loss: 266.7756 - logits_profile_predictions_loss: 263.8487 - logcount_predictions_loss: 0.2735 89/1106 [=>............................] - ETA: 2:21 - loss: 266.7526 - logits_profile_predictions_loss: 263.8247 - logcount_predictions_loss: 0.2736 90/1106 [=>............................] - ETA: 2:21 - loss: 266.7278 - logits_profile_predictions_loss: 263.7989 - logcount_predictions_loss: 0.2737 91/1106 [=>............................] - ETA: 2:21 - loss: 266.7023 - logits_profile_predictions_loss: 263.7724 - logcount_predictions_loss: 0.2738 92/1106 [=>............................] - ETA: 2:20 - loss: 266.6760 - logits_profile_predictions_loss: 263.7450 - logcount_predictions_loss: 0.2739 93/1106 [=>............................] - ETA: 2:20 - loss: 266.6482 - logits_profile_predictions_loss: 263.7161 - logcount_predictions_loss: 0.2740 94/1106 [=>............................] - ETA: 2:20 - loss: 266.6231 - logits_profile_predictions_loss: 263.6898 - logcount_predictions_loss: 0.2741 95/1106 [=>............................] - ETA: 2:20 - loss: 266.5984 - logits_profile_predictions_loss: 263.6637 - logcount_predictions_loss: 0.2743 96/1106 [=>............................] - ETA: 2:20 - loss: 266.5736 - logits_profile_predictions_loss: 263.6378 - logcount_predictions_loss: 0.2744 97/1106 [=>............................] - ETA: 2:20 - loss: 266.5505 - logits_profile_predictions_loss: 263.6133 - logcount_predictions_loss: 0.2745 98/1106 [=>............................] - ETA: 2:20 - loss: 266.5275 - logits_profile_predictions_loss: 263.5891 - logcount_predictions_loss: 0.2746 99/1106 [=>............................] - ETA: 2:19 - loss: 266.5058 - logits_profile_predictions_loss: 263.5661 - logcount_predictions_loss: 0.2747 100/1106 [=>............................] - ETA: 2:19 - loss: 266.4853 - logits_profile_predictions_loss: 263.5445 - logcount_predictions_loss: 0.2748 101/1106 [=>............................] - ETA: 2:19 - loss: 266.4636 - logits_profile_predictions_loss: 263.5216 - logcount_predictions_loss: 0.2750 102/1106 [=>............................] - ETA: 2:19 - loss: 266.4410 - logits_profile_predictions_loss: 263.4979 - logcount_predictions_loss: 0.2751 103/1106 [=>............................] - ETA: 2:19 - loss: 266.4217 - logits_profile_predictions_loss: 263.4775 - logcount_predictions_loss: 0.2752 104/1106 [=>............................] - ETA: 2:19 - loss: 266.4019 - logits_profile_predictions_loss: 263.4568 - logcount_predictions_loss: 0.2752 105/1106 [=>............................] - ETA: 2:19 - loss: 266.3869 - logits_profile_predictions_loss: 263.4408 - logcount_predictions_loss: 0.2753 106/1106 [=>............................] - ETA: 2:18 - loss: 266.3704 - logits_profile_predictions_loss: 263.4233 - logcount_predictions_loss: 0.2754 107/1106 [=>............................] - ETA: 2:18 - loss: 266.3517 - logits_profile_predictions_loss: 263.4037 - logcount_predictions_loss: 0.2755 108/1106 [=>............................] - ETA: 2:18 - loss: 266.3341 - logits_profile_predictions_loss: 263.3851 - logcount_predictions_loss: 0.2756 109/1106 [=>............................] - ETA: 2:18 - loss: 266.3163 - logits_profile_predictions_loss: 263.3664 - logcount_predictions_loss: 0.2757 110/1106 [=>............................] - ETA: 2:18 - loss: 266.3012 - logits_profile_predictions_loss: 263.3502 - logcount_predictions_loss: 0.2758 111/1106 [==>...........................] - ETA: 2:18 - loss: 266.2857 - logits_profile_predictions_loss: 263.3337 - logcount_predictions_loss: 0.2759 112/1106 [==>...........................] - ETA: 2:18 - loss: 266.2712 - logits_profile_predictions_loss: 263.3182 - logcount_predictions_loss: 0.2760 113/1106 [==>...........................] - ETA: 2:17 - loss: 266.2572 - logits_profile_predictions_loss: 263.3033 - logcount_predictions_loss: 0.2761 114/1106 [==>...........................] - ETA: 2:17 - loss: 266.2425 - logits_profile_predictions_loss: 263.2877 - logcount_predictions_loss: 0.2762 115/1106 [==>...........................] - ETA: 2:17 - loss: 266.2296 - logits_profile_predictions_loss: 263.2738 - logcount_predictions_loss: 0.2762 116/1106 [==>...........................] - ETA: 2:17 - loss: 266.2171 - logits_profile_predictions_loss: 263.2604 - logcount_predictions_loss: 0.2763 117/1106 [==>...........................] - ETA: 2:17 - loss: 266.2037 - logits_profile_predictions_loss: 263.2462 - logcount_predictions_loss: 0.2764 118/1106 [==>...........................] - ETA: 2:17 - loss: 266.1927 - logits_profile_predictions_loss: 263.2343 - logcount_predictions_loss: 0.2765 119/1106 [==>...........................] - ETA: 2:17 - loss: 266.1832 - logits_profile_predictions_loss: 263.2240 - logcount_predictions_loss: 0.2766 120/1106 [==>...........................] - ETA: 2:17 - loss: 266.1751 - logits_profile_predictions_loss: 263.2151 - logcount_predictions_loss: 0.2766 121/1106 [==>...........................] - ETA: 2:16 - loss: 266.1678 - logits_profile_predictions_loss: 263.2069 - logcount_predictions_loss: 0.2767 122/1106 [==>...........................] - ETA: 2:16 - loss: 266.1597 - logits_profile_predictions_loss: 263.1979 - logcount_predictions_loss: 0.2768 123/1106 [==>...........................] - ETA: 2:16 - loss: 266.1517 - logits_profile_predictions_loss: 263.1892 - logcount_predictions_loss: 0.2769 124/1106 [==>...........................] - ETA: 2:16 - loss: 266.1437 - logits_profile_predictions_loss: 263.1804 - logcount_predictions_loss: 0.2769 125/1106 [==>...........................] - ETA: 2:16 - loss: 266.1349 - logits_profile_predictions_loss: 263.1710 - logcount_predictions_loss: 0.2770 126/1106 [==>...........................] - ETA: 2:16 - loss: 266.1251 - logits_profile_predictions_loss: 263.1604 - logcount_predictions_loss: 0.2771 127/1106 [==>...........................] - ETA: 2:16 - loss: 266.1144 - logits_profile_predictions_loss: 263.1490 - logcount_predictions_loss: 0.2771 128/1106 [==>...........................] - ETA: 2:15 - loss: 266.1040 - logits_profile_predictions_loss: 263.1380 - logcount_predictions_loss: 0.2772 129/1106 [==>...........................] - ETA: 2:15 - loss: 266.0946 - logits_profile_predictions_loss: 263.1280 - logcount_predictions_loss: 0.2773 130/1106 [==>...........................] - ETA: 2:15 - loss: 266.0831 - logits_profile_predictions_loss: 263.1158 - logcount_predictions_loss: 0.2773 131/1106 [==>...........................] - ETA: 2:15 - loss: 266.0723 - logits_profile_predictions_loss: 263.1043 - logcount_predictions_loss: 0.2774 132/1106 [==>...........................] - ETA: 2:15 - loss: 266.0605 - logits_profile_predictions_loss: 263.0919 - logcount_predictions_loss: 0.2774 133/1106 [==>...........................] - ETA: 2:15 - loss: 266.0499 - logits_profile_predictions_loss: 263.0807 - logcount_predictions_loss: 0.2775 134/1106 [==>...........................] - ETA: 2:15 - loss: 266.0390 - logits_profile_predictions_loss: 263.0692 - logcount_predictions_loss: 0.2776 135/1106 [==>...........................] - ETA: 2:14 - loss: 266.0282 - logits_profile_predictions_loss: 263.0578 - logcount_predictions_loss: 0.2776 136/1106 [==>...........................] - ETA: 2:14 - loss: 266.0186 - logits_profile_predictions_loss: 263.0476 - logcount_predictions_loss: 0.2777 137/1106 [==>...........................] - ETA: 2:14 - loss: 266.0088 - logits_profile_predictions_loss: 263.0373 - logcount_predictions_loss: 0.2777 138/1106 [==>...........................] - ETA: 2:14 - loss: 265.9994 - logits_profile_predictions_loss: 263.0274 - logcount_predictions_loss: 0.2778 139/1106 [==>...........................] - ETA: 2:14 - loss: 265.9894 - logits_profile_predictions_loss: 263.0168 - logcount_predictions_loss: 0.2778 140/1106 [==>...........................] - ETA: 2:14 - loss: 265.9800 - logits_profile_predictions_loss: 263.0068 - logcount_predictions_loss: 0.2779 141/1106 [==>...........................] - ETA: 2:14 - loss: 265.9707 - logits_profile_predictions_loss: 262.9970 - logcount_predictions_loss: 0.2779 142/1106 [==>...........................] - ETA: 2:13 - loss: 265.9611 - logits_profile_predictions_loss: 262.9869 - logcount_predictions_loss: 0.2780 143/1106 [==>...........................] - ETA: 2:13 - loss: 265.9504 - logits_profile_predictions_loss: 262.9757 - logcount_predictions_loss: 0.2780 144/1106 [==>...........................] - ETA: 2:13 - loss: 265.9402 - logits_profile_predictions_loss: 262.9649 - logcount_predictions_loss: 0.2781 145/1106 [==>...........................] - ETA: 2:13 - loss: 265.9307 - logits_profile_predictions_loss: 262.9549 - logcount_predictions_loss: 0.2781 146/1106 [==>...........................] - ETA: 2:13 - loss: 265.9214 - logits_profile_predictions_loss: 262.9451 - logcount_predictions_loss: 0.2782 147/1106 [==>...........................] - ETA: 2:13 - loss: 265.9125 - logits_profile_predictions_loss: 262.9357 - logcount_predictions_loss: 0.2782 148/1106 [===>..........................] - ETA: 2:13 - loss: 265.9032 - logits_profile_predictions_loss: 262.9258 - logcount_predictions_loss: 0.2783 149/1106 [===>..........................] - ETA: 2:12 - loss: 265.8947 - logits_profile_predictions_loss: 262.9168 - logcount_predictions_loss: 0.2783 150/1106 [===>..........................] - ETA: 2:12 - loss: 265.8866 - logits_profile_predictions_loss: 262.9082 - logcount_predictions_loss: 0.2784 151/1106 [===>..........................] - ETA: 2:12 - loss: 265.8789 - logits_profile_predictions_loss: 262.8999 - logcount_predictions_loss: 0.2784 152/1106 [===>..........................] - ETA: 2:12 - loss: 265.8713 - logits_profile_predictions_loss: 262.8918 - logcount_predictions_loss: 0.2785 153/1106 [===>..........................] - ETA: 2:12 - loss: 265.8641 - logits_profile_predictions_loss: 262.8840 - logcount_predictions_loss: 0.2785 154/1106 [===>..........................] - ETA: 2:12 - loss: 265.8576 - logits_profile_predictions_loss: 262.8769 - logcount_predictions_loss: 0.2786 155/1106 [===>..........................] - ETA: 2:12 - loss: 265.8509 - logits_profile_predictions_loss: 262.8696 - logcount_predictions_loss: 0.2786 156/1106 [===>..........................] - ETA: 2:11 - loss: 265.8432 - logits_profile_predictions_loss: 262.8613 - logcount_predictions_loss: 0.2787 157/1106 [===>..........................] - ETA: 2:11 - loss: 265.8347 - logits_profile_predictions_loss: 262.8522 - logcount_predictions_loss: 0.2787 158/1106 [===>..........................] - ETA: 2:11 - loss: 265.8265 - logits_profile_predictions_loss: 262.8434 - logcount_predictions_loss: 0.2788 159/1106 [===>..........................] - ETA: 2:11 - loss: 265.8194 - logits_profile_predictions_loss: 262.8357 - logcount_predictions_loss: 0.2789 160/1106 [===>..........................] - ETA: 2:11 - loss: 265.8119 - logits_profile_predictions_loss: 262.8276 - logcount_predictions_loss: 0.2789 161/1106 [===>..........................] - ETA: 2:11 - loss: 265.8039 - logits_profile_predictions_loss: 262.8190 - logcount_predictions_loss: 0.2790 162/1106 [===>..........................] - ETA: 2:11 - loss: 265.7952 - logits_profile_predictions_loss: 262.8096 - logcount_predictions_loss: 0.2790 163/1106 [===>..........................] - ETA: 2:11 - loss: 265.7863 - logits_profile_predictions_loss: 262.8002 - logcount_predictions_loss: 0.2791 164/1106 [===>..........................] - ETA: 2:10 - loss: 265.7769 - logits_profile_predictions_loss: 262.7903 - logcount_predictions_loss: 0.2791 165/1106 [===>..........................] - ETA: 2:10 - loss: 265.7678 - logits_profile_predictions_loss: 262.7806 - logcount_predictions_loss: 0.2792 166/1106 [===>..........................] - ETA: 2:10 - loss: 265.7591 - logits_profile_predictions_loss: 262.7714 - logcount_predictions_loss: 0.2792 167/1106 [===>..........................] - ETA: 2:10 - loss: 265.7505 - logits_profile_predictions_loss: 262.7623 - logcount_predictions_loss: 0.2793 168/1106 [===>..........................] - ETA: 2:10 - loss: 265.7426 - logits_profile_predictions_loss: 262.7540 - logcount_predictions_loss: 0.2793 169/1106 [===>..........................] - ETA: 2:10 - loss: 265.7345 - logits_profile_predictions_loss: 262.7454 - logcount_predictions_loss: 0.2794 170/1106 [===>..........................] - ETA: 2:10 - loss: 265.7262 - logits_profile_predictions_loss: 262.7366 - logcount_predictions_loss: 0.2794 171/1106 [===>..........................] - ETA: 2:09 - loss: 265.7180 - logits_profile_predictions_loss: 262.7280 - logcount_predictions_loss: 0.2794 172/1106 [===>..........................] - ETA: 2:09 - loss: 265.7102 - logits_profile_predictions_loss: 262.7197 - logcount_predictions_loss: 0.2795 173/1106 [===>..........................] - ETA: 2:09 - loss: 265.7024 - logits_profile_predictions_loss: 262.7114 - logcount_predictions_loss: 0.2795 174/1106 [===>..........................] - ETA: 2:09 - loss: 265.6951 - logits_profile_predictions_loss: 262.7037 - logcount_predictions_loss: 0.2796 175/1106 [===>..........................] - ETA: 2:09 - loss: 265.6880 - logits_profile_predictions_loss: 262.6962 - logcount_predictions_loss: 0.2796 176/1106 [===>..........................] - ETA: 2:09 - loss: 265.6814 - logits_profile_predictions_loss: 262.6891 - logcount_predictions_loss: 0.2797 177/1106 [===>..........................] - ETA: 2:09 - loss: 265.6751 - logits_profile_predictions_loss: 262.6824 - logcount_predictions_loss: 0.2797 178/1106 [===>..........................] - ETA: 2:08 - loss: 265.6694 - logits_profile_predictions_loss: 262.6763 - logcount_predictions_loss: 0.2797 179/1106 [===>..........................] - ETA: 2:08 - loss: 265.6631 - logits_profile_predictions_loss: 262.6696 - logcount_predictions_loss: 0.2798 180/1106 [===>..........................] - ETA: 2:08 - loss: 265.6572 - logits_profile_predictions_loss: 262.6634 - logcount_predictions_loss: 0.2798 181/1106 [===>..........................] - ETA: 2:08 - loss: 265.6517 - logits_profile_predictions_loss: 262.6574 - logcount_predictions_loss: 0.2798 182/1106 [===>..........................] - ETA: 2:08 - loss: 265.6454 - logits_profile_predictions_loss: 262.6508 - logcount_predictions_loss: 0.2799 183/1106 [===>..........................] - ETA: 2:08 - loss: 265.6386 - logits_profile_predictions_loss: 262.6437 - logcount_predictions_loss: 0.2799 184/1106 [===>..........................] - ETA: 2:08 - loss: 265.6320 - logits_profile_predictions_loss: 262.6367 - logcount_predictions_loss: 0.2799 185/1106 [====>.........................] - ETA: 2:07 - loss: 265.6256 - logits_profile_predictions_loss: 262.6300 - logcount_predictions_loss: 0.2800 186/1106 [====>.........................] - ETA: 2:07 - loss: 265.6192 - logits_profile_predictions_loss: 262.6232 - logcount_predictions_loss: 0.2800 187/1106 [====>.........................] - ETA: 2:07 - loss: 265.6129 - logits_profile_predictions_loss: 262.6165 - logcount_predictions_loss: 0.2800 188/1106 [====>.........................] - ETA: 2:07 - loss: 265.6069 - logits_profile_predictions_loss: 262.6101 - logcount_predictions_loss: 0.2801 189/1106 [====>.........................] - ETA: 2:07 - loss: 265.6011 - logits_profile_predictions_loss: 262.6039 - logcount_predictions_loss: 0.2801 190/1106 [====>.........................] - ETA: 2:07 - loss: 265.5954 - logits_profile_predictions_loss: 262.5978 - logcount_predictions_loss: 0.2801 191/1106 [====>.........................] - ETA: 2:07 - loss: 265.5894 - logits_profile_predictions_loss: 262.5914 - logcount_predictions_loss: 0.2802 192/1106 [====>.........................] - ETA: 2:06 - loss: 265.5843 - logits_profile_predictions_loss: 262.5860 - logcount_predictions_loss: 0.2802 193/1106 [====>.........................] - ETA: 2:06 - loss: 265.5797 - logits_profile_predictions_loss: 262.5811 - logcount_predictions_loss: 0.2802 194/1106 [====>.........................] - ETA: 2:06 - loss: 265.5752 - logits_profile_predictions_loss: 262.5763 - logcount_predictions_loss: 0.2803 195/1106 [====>.........................] - ETA: 2:06 - loss: 265.5707 - logits_profile_predictions_loss: 262.5714 - logcount_predictions_loss: 0.2803 196/1106 [====>.........................] - ETA: 2:06 - loss: 265.5666 - logits_profile_predictions_loss: 262.5670 - logcount_predictions_loss: 0.2803 197/1106 [====>.........................] - ETA: 2:06 - loss: 265.5622 - logits_profile_predictions_loss: 262.5623 - logcount_predictions_loss: 0.2804 198/1106 [====>.........................] - ETA: 2:05 - loss: 265.5583 - logits_profile_predictions_loss: 262.5581 - logcount_predictions_loss: 0.2804 199/1106 [====>.........................] - ETA: 2:05 - loss: 265.5546 - logits_profile_predictions_loss: 262.5541 - logcount_predictions_loss: 0.2804 200/1106 [====>.........................] - ETA: 2:05 - loss: 265.5508 - logits_profile_predictions_loss: 262.5501 - logcount_predictions_loss: 0.2804 201/1106 [====>.........................] - ETA: 2:05 - loss: 265.5471 - logits_profile_predictions_loss: 262.5461 - logcount_predictions_loss: 0.2805 202/1106 [====>.........................] - ETA: 2:05 - loss: 265.5433 - logits_profile_predictions_loss: 262.5420 - logcount_predictions_loss: 0.2805 203/1106 [====>.........................] - ETA: 2:05 - loss: 265.5396 - logits_profile_predictions_loss: 262.5381 - logcount_predictions_loss: 0.2805 204/1106 [====>.........................] - ETA: 2:05 - loss: 265.5356 - logits_profile_predictions_loss: 262.5339 - logcount_predictions_loss: 0.2805 205/1106 [====>.........................] - ETA: 2:05 - loss: 265.5313 - logits_profile_predictions_loss: 262.5293 - logcount_predictions_loss: 0.2806 206/1106 [====>.........................] - ETA: 2:04 - loss: 265.5270 - logits_profile_predictions_loss: 262.5248 - logcount_predictions_loss: 0.2806 207/1106 [====>.........................] - ETA: 2:04 - loss: 265.5231 - 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[=====>........................] - ETA: 2:00 - loss: 265.4314 - logits_profile_predictions_loss: 262.4253 - logcount_predictions_loss: 0.2809 241/1106 [=====>........................] - ETA: 2:00 - loss: 265.4299 - logits_profile_predictions_loss: 262.4237 - logcount_predictions_loss: 0.2810 242/1106 [=====>........................] - ETA: 1:59 - loss: 265.4287 - logits_profile_predictions_loss: 262.4224 - logcount_predictions_loss: 0.2810 243/1106 [=====>........................] - ETA: 1:59 - loss: 265.4278 - logits_profile_predictions_loss: 262.4214 - logcount_predictions_loss: 0.2810 244/1106 [=====>........................] - ETA: 1:59 - loss: 265.4270 - logits_profile_predictions_loss: 262.4205 - logcount_predictions_loss: 0.2810 245/1106 [=====>........................] - ETA: 1:59 - loss: 265.4264 - logits_profile_predictions_loss: 262.4198 - logcount_predictions_loss: 0.2810 246/1106 [=====>........................] - ETA: 1:59 - loss: 265.4259 - 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[=====>........................] - ETA: 1:58 - loss: 265.4239 - logits_profile_predictions_loss: 262.4166 - logcount_predictions_loss: 0.2811 254/1106 [=====>........................] - ETA: 1:58 - loss: 265.4237 - logits_profile_predictions_loss: 262.4164 - logcount_predictions_loss: 0.2811 255/1106 [=====>........................] - ETA: 1:58 - loss: 265.4237 - logits_profile_predictions_loss: 262.4164 - logcount_predictions_loss: 0.2811 256/1106 [=====>........................] - ETA: 1:57 - loss: 265.4237 - logits_profile_predictions_loss: 262.4163 - logcount_predictions_loss: 0.2811 257/1106 [=====>........................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4165 - logcount_predictions_loss: 0.2811 258/1106 [=====>........................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4165 - logcount_predictions_loss: 0.2811 259/1106 [======>.......................] - ETA: 1:57 - loss: 265.4240 - 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[======>.......................] - ETA: 1:56 - loss: 265.4226 - logits_profile_predictions_loss: 262.4150 - logcount_predictions_loss: 0.2811 267/1106 [======>.......................] - ETA: 1:56 - loss: 265.4218 - logits_profile_predictions_loss: 262.4142 - logcount_predictions_loss: 0.2811 268/1106 [======>.......................] - ETA: 1:56 - loss: 265.4210 - logits_profile_predictions_loss: 262.4134 - logcount_predictions_loss: 0.2811 269/1106 [======>.......................] - ETA: 1:56 - loss: 265.4201 - logits_profile_predictions_loss: 262.4124 - logcount_predictions_loss: 0.2811 270/1106 [======>.......................] - ETA: 1:55 - loss: 265.4189 - logits_profile_predictions_loss: 262.4112 - logcount_predictions_loss: 0.2811 271/1106 [======>.......................] - ETA: 1:55 - loss: 265.4178 - logits_profile_predictions_loss: 262.4100 - logcount_predictions_loss: 0.2811 272/1106 [======>.......................] - ETA: 1:55 - loss: 265.4166 - 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[======>.......................] - ETA: 1:54 - loss: 265.4084 - logits_profile_predictions_loss: 262.4003 - logcount_predictions_loss: 0.2811 280/1106 [======>.......................] - ETA: 1:54 - loss: 265.4074 - logits_profile_predictions_loss: 262.3992 - logcount_predictions_loss: 0.2811 281/1106 [======>.......................] - ETA: 1:54 - loss: 265.4062 - logits_profile_predictions_loss: 262.3979 - logcount_predictions_loss: 0.2812 282/1106 [======>.......................] - ETA: 1:54 - loss: 265.4052 - logits_profile_predictions_loss: 262.3968 - logcount_predictions_loss: 0.2812 283/1106 [======>.......................] - ETA: 1:54 - loss: 265.4040 - logits_profile_predictions_loss: 262.3955 - logcount_predictions_loss: 0.2812 284/1106 [======>.......................] - ETA: 1:54 - loss: 265.4029 - logits_profile_predictions_loss: 262.3943 - logcount_predictions_loss: 0.2812 285/1106 [======>.......................] - ETA: 1:53 - loss: 265.4017 - 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loss: 264.8995 - logits_profile_predictions_loss: 261.8760 - logcount_predictions_loss: 0.2826 1085/1106 [============================>.] - ETA: 2s - loss: 264.8990 - logits_profile_predictions_loss: 261.8755 - logcount_predictions_loss: 0.2826 1086/1106 [============================>.] - ETA: 2s - loss: 264.8986 - logits_profile_predictions_loss: 261.8751 - logcount_predictions_loss: 0.2826 1087/1106 [============================>.] - ETA: 2s - loss: 264.8982 - logits_profile_predictions_loss: 261.8746 - logcount_predictions_loss: 0.2826 1088/1106 [============================>.] - ETA: 2s - loss: 264.8978 - logits_profile_predictions_loss: 261.8742 - logcount_predictions_loss: 0.2826 1089/1106 [============================>.] - ETA: 2s - loss: 264.8973 - logits_profile_predictions_loss: 261.8738 - logcount_predictions_loss: 0.2826 1090/1106 [============================>.] - ETA: 2s - loss: 264.8969 - logits_profile_predictions_loss: 261.8734 - logcount_predictions_loss: 0.2826 1091/1106 [============================>.] - ETA: 2s - loss: 264.8965 - logits_profile_predictions_loss: 261.8729 - logcount_predictions_loss: 0.2826 1092/1106 [============================>.] - ETA: 1s - loss: 264.8960 - logits_profile_predictions_loss: 261.8725 - logcount_predictions_loss: 0.2826 1093/1106 [============================>.] - ETA: 1s - loss: 264.8956 - logits_profile_predictions_loss: 261.8720 - logcount_predictions_loss: 0.2826 1094/1106 [============================>.] - ETA: 1s - loss: 264.8952 - logits_profile_predictions_loss: 261.8716 - logcount_predictions_loss: 0.2826 1095/1106 [============================>.] - ETA: 1s - loss: 264.8948 - logits_profile_predictions_loss: 261.8712 - logcount_predictions_loss: 0.2826 1096/1106 [============================>.] - ETA: 1s - loss: 264.8943 - logits_profile_predictions_loss: 261.8708 - logcount_predictions_loss: 0.2826 1097/1106 [============================>.] - ETA: 1s - loss: 264.8939 - logits_profile_predictions_loss: 261.8704 - logcount_predictions_loss: 0.2826 1098/1106 [============================>.] - ETA: 1s - loss: 264.8935 - logits_profile_predictions_loss: 261.8700 - logcount_predictions_loss: 0.2826 1099/1106 [============================>.] - ETA: 0s - loss: 264.8931 - logits_profile_predictions_loss: 261.8696 - logcount_predictions_loss: 0.2826 1100/1106 [============================>.] - ETA: 0s - loss: 264.8927 - logits_profile_predictions_loss: 261.8692 - logcount_predictions_loss: 0.2826 1101/1106 [============================>.] - ETA: 0s - loss: 264.8923 - logits_profile_predictions_loss: 261.8687 - logcount_predictions_loss: 0.2826 1102/1106 [============================>.] - ETA: 0s - loss: 264.8919 - logits_profile_predictions_loss: 261.8683 - logcount_predictions_loss: 0.2826 1103/1106 [============================>.] - ETA: 0s - loss: 264.8915 - logits_profile_predictions_loss: 261.8679 - logcount_predictions_loss: 0.2826 1104/1106 [============================>.] - ETA: 0s - loss: 264.8910 - logits_profile_predictions_loss: 261.8675 - logcount_predictions_loss: 0.2826 1105/1106 [============================>.] - ETA: 0s - loss: 264.8906 - logits_profile_predictions_loss: 261.8670 - logcount_predictions_loss: 0.2826 1106/1106 [==============================] - ETA: 0s - loss: 264.8902 - logits_profile_predictions_loss: 261.8666 - logcount_predictions_loss: 0.2826 1106/1106 [==============================] - 160s 145ms/step - loss: 264.8897 - logits_profile_predictions_loss: 261.8662 - logcount_predictions_loss: 0.2826 - val_loss: 276.1827 - val_logits_profile_predictions_loss: 272.7479 - val_logcount_predictions_loss: 0.3210 + +Epoch 00007: val_loss did not improve from 275.26187 +Epoch 8/50 + 1/1106 [..............................] - ETA: 2:52 - loss: 263.0529 - logits_profile_predictions_loss: 260.3027 - logcount_predictions_loss: 0.2570 2/1106 [..............................] - ETA: 2:33 - loss: 258.4375 - logits_profile_predictions_loss: 255.6939 - logcount_predictions_loss: 0.2564 3/1106 [..............................] - ETA: 2:33 - loss: 258.8955 - logits_profile_predictions_loss: 256.1035 - logcount_predictions_loss: 0.2609 4/1106 [..............................] - ETA: 2:32 - loss: 260.3202 - logits_profile_predictions_loss: 257.4873 - logcount_predictions_loss: 0.2648 5/1106 [..............................] - ETA: 2:32 - loss: 261.3156 - logits_profile_predictions_loss: 258.4519 - logcount_predictions_loss: 0.2676 6/1106 [..............................] - ETA: 2:32 - loss: 263.2439 - logits_profile_predictions_loss: 260.3425 - logcount_predictions_loss: 0.2712 7/1106 [..............................] - ETA: 2:32 - loss: 264.3669 - logits_profile_predictions_loss: 261.4460 - logcount_predictions_loss: 0.2730 8/1106 [..............................] - ETA: 2:32 - loss: 265.4666 - logits_profile_predictions_loss: 262.5337 - logcount_predictions_loss: 0.2741 9/1106 [..............................] - ETA: 2:32 - loss: 266.3749 - logits_profile_predictions_loss: 263.4334 - logcount_predictions_loss: 0.2749 10/1106 [..............................] - ETA: 2:32 - loss: 266.8166 - logits_profile_predictions_loss: 263.8703 - logcount_predictions_loss: 0.2754 11/1106 [..............................] - ETA: 2:31 - loss: 267.1031 - logits_profile_predictions_loss: 264.1497 - logcount_predictions_loss: 0.2760 12/1106 [..............................] - ETA: 2:31 - loss: 267.2910 - logits_profile_predictions_loss: 264.3383 - logcount_predictions_loss: 0.2760 13/1106 [..............................] - ETA: 2:31 - loss: 267.4801 - logits_profile_predictions_loss: 264.5275 - logcount_predictions_loss: 0.2759 14/1106 [..............................] - ETA: 2:31 - loss: 267.7089 - logits_profile_predictions_loss: 264.7588 - logcount_predictions_loss: 0.2757 15/1106 [..............................] - ETA: 2:31 - loss: 267.8993 - logits_profile_predictions_loss: 264.9477 - logcount_predictions_loss: 0.2758 16/1106 [..............................] - ETA: 2:31 - loss: 268.0134 - logits_profile_predictions_loss: 265.0554 - logcount_predictions_loss: 0.2764 17/1106 [..............................] - ETA: 2:31 - loss: 268.1022 - logits_profile_predictions_loss: 265.1368 - logcount_predictions_loss: 0.2771 18/1106 [..............................] - ETA: 2:30 - loss: 268.1422 - logits_profile_predictions_loss: 265.1688 - logcount_predictions_loss: 0.2779 19/1106 [..............................] - ETA: 2:30 - loss: 268.1965 - logits_profile_predictions_loss: 265.2163 - logcount_predictions_loss: 0.2785 20/1106 [..............................] - ETA: 2:30 - loss: 268.2404 - logits_profile_predictions_loss: 265.2546 - logcount_predictions_loss: 0.2791 21/1106 [..............................] - ETA: 2:30 - loss: 268.2438 - logits_profile_predictions_loss: 265.2544 - logcount_predictions_loss: 0.2794 22/1106 [..............................] - ETA: 2:30 - loss: 268.2303 - logits_profile_predictions_loss: 265.2384 - logcount_predictions_loss: 0.2796 23/1106 [..............................] - ETA: 2:30 - loss: 268.1899 - logits_profile_predictions_loss: 265.1981 - logcount_predictions_loss: 0.2796 24/1106 [..............................] - ETA: 2:30 - loss: 268.1626 - logits_profile_predictions_loss: 265.1723 - logcount_predictions_loss: 0.2795 25/1106 [..............................] - ETA: 2:29 - loss: 268.0924 - logits_profile_predictions_loss: 265.1045 - logcount_predictions_loss: 0.2792 26/1106 [..............................] - ETA: 2:28 - loss: 268.0091 - logits_profile_predictions_loss: 265.0242 - logcount_predictions_loss: 0.2790 27/1106 [..............................] - ETA: 2:28 - loss: 267.9069 - logits_profile_predictions_loss: 264.9233 - logcount_predictions_loss: 0.2788 28/1106 [..............................] - ETA: 2:28 - loss: 267.7900 - logits_profile_predictions_loss: 264.8069 - logcount_predictions_loss: 0.2788 29/1106 [..............................] - ETA: 2:28 - loss: 267.6515 - logits_profile_predictions_loss: 264.6689 - logcount_predictions_loss: 0.2788 30/1106 [..............................] - ETA: 2:28 - loss: 267.5300 - logits_profile_predictions_loss: 264.5469 - logcount_predictions_loss: 0.2788 31/1106 [..............................] - ETA: 2:28 - loss: 267.4169 - logits_profile_predictions_loss: 264.4328 - logcount_predictions_loss: 0.2789 32/1106 [..............................] - ETA: 2:27 - loss: 267.3320 - logits_profile_predictions_loss: 264.3467 - logcount_predictions_loss: 0.2790 33/1106 [..............................] - ETA: 2:27 - loss: 267.2385 - logits_profile_predictions_loss: 264.2521 - logcount_predictions_loss: 0.2791 34/1106 [..............................] - ETA: 2:27 - loss: 267.1480 - logits_profile_predictions_loss: 264.1609 - logcount_predictions_loss: 0.2792 35/1106 [..............................] - ETA: 2:27 - loss: 267.0467 - logits_profile_predictions_loss: 264.0584 - logcount_predictions_loss: 0.2793 36/1106 [..............................] - ETA: 2:27 - loss: 266.9372 - logits_profile_predictions_loss: 263.9485 - logcount_predictions_loss: 0.2793 37/1106 [>.............................] - ETA: 2:27 - loss: 266.8507 - logits_profile_predictions_loss: 263.8611 - logcount_predictions_loss: 0.2794 38/1106 [>.............................] - ETA: 2:27 - loss: 266.7844 - logits_profile_predictions_loss: 263.7942 - logcount_predictions_loss: 0.2795 39/1106 [>.............................] - ETA: 2:27 - loss: 266.7249 - logits_profile_predictions_loss: 263.7342 - logcount_predictions_loss: 0.2795 40/1106 [>.............................] - ETA: 2:27 - loss: 266.6645 - logits_profile_predictions_loss: 263.6739 - logcount_predictions_loss: 0.2795 41/1106 [>.............................] - ETA: 2:26 - loss: 266.5912 - logits_profile_predictions_loss: 263.6001 - logcount_predictions_loss: 0.2795 42/1106 [>.............................] - ETA: 2:26 - loss: 266.5190 - logits_profile_predictions_loss: 263.5272 - logcount_predictions_loss: 0.2796 43/1106 [>.............................] - ETA: 2:26 - loss: 266.4598 - logits_profile_predictions_loss: 263.4675 - logcount_predictions_loss: 0.2797 44/1106 [>.............................] - ETA: 2:26 - loss: 266.3935 - logits_profile_predictions_loss: 263.4009 - logcount_predictions_loss: 0.2797 45/1106 [>.............................] - ETA: 2:26 - loss: 266.3180 - logits_profile_predictions_loss: 263.3252 - logcount_predictions_loss: 0.2797 46/1106 [>.............................] - ETA: 2:26 - loss: 266.2496 - logits_profile_predictions_loss: 263.2567 - logcount_predictions_loss: 0.2797 47/1106 [>.............................] - ETA: 2:26 - loss: 266.1925 - logits_profile_predictions_loss: 263.1993 - logcount_predictions_loss: 0.2797 48/1106 [>.............................] - ETA: 2:26 - loss: 266.1379 - logits_profile_predictions_loss: 263.1440 - logcount_predictions_loss: 0.2798 49/1106 [>.............................] - ETA: 2:25 - loss: 266.0877 - logits_profile_predictions_loss: 263.0931 - logcount_predictions_loss: 0.2799 50/1106 [>.............................] - ETA: 2:25 - loss: 266.0277 - logits_profile_predictions_loss: 263.0328 - logcount_predictions_loss: 0.2799 51/1106 [>.............................] - ETA: 2:25 - loss: 265.9767 - logits_profile_predictions_loss: 262.9817 - logcount_predictions_loss: 0.2799 52/1106 [>.............................] - ETA: 2:25 - loss: 265.9335 - logits_profile_predictions_loss: 262.9383 - logcount_predictions_loss: 0.2799 53/1106 [>.............................] - ETA: 2:25 - loss: 265.8940 - logits_profile_predictions_loss: 262.8984 - logcount_predictions_loss: 0.2800 54/1106 [>.............................] - ETA: 2:25 - loss: 265.8580 - logits_profile_predictions_loss: 262.8619 - logcount_predictions_loss: 0.2800 55/1106 [>.............................] - ETA: 2:25 - loss: 265.8264 - logits_profile_predictions_loss: 262.8299 - logcount_predictions_loss: 0.2801 56/1106 [>.............................] - ETA: 2:25 - loss: 265.8041 - logits_profile_predictions_loss: 262.8069 - logcount_predictions_loss: 0.2801 57/1106 [>.............................] - ETA: 2:24 - loss: 265.7814 - logits_profile_predictions_loss: 262.7835 - logcount_predictions_loss: 0.2802 58/1106 [>.............................] - ETA: 2:24 - loss: 265.7602 - logits_profile_predictions_loss: 262.7618 - logcount_predictions_loss: 0.2802 59/1106 [>.............................] - ETA: 2:24 - loss: 265.7340 - logits_profile_predictions_loss: 262.7350 - logcount_predictions_loss: 0.2803 60/1106 [>.............................] - ETA: 2:24 - loss: 265.7064 - logits_profile_predictions_loss: 262.7067 - logcount_predictions_loss: 0.2803 61/1106 [>.............................] - ETA: 2:24 - loss: 265.6718 - logits_profile_predictions_loss: 262.6714 - logcount_predictions_loss: 0.2804 62/1106 [>.............................] - ETA: 2:24 - loss: 265.6354 - logits_profile_predictions_loss: 262.6343 - logcount_predictions_loss: 0.2805 63/1106 [>.............................] - ETA: 2:24 - loss: 265.6083 - logits_profile_predictions_loss: 262.6062 - logcount_predictions_loss: 0.2806 64/1106 [>.............................] - ETA: 2:24 - loss: 265.5743 - logits_profile_predictions_loss: 262.5713 - logcount_predictions_loss: 0.2807 65/1106 [>.............................] - ETA: 2:23 - loss: 265.5412 - logits_profile_predictions_loss: 262.5375 - logcount_predictions_loss: 0.2807 66/1106 [>.............................] - ETA: 2:23 - loss: 265.5139 - logits_profile_predictions_loss: 262.5094 - logcount_predictions_loss: 0.2808 67/1106 [>.............................] - ETA: 2:23 - loss: 265.4924 - logits_profile_predictions_loss: 262.4871 - logcount_predictions_loss: 0.2809 68/1106 [>.............................] - ETA: 2:23 - loss: 265.4739 - logits_profile_predictions_loss: 262.4680 - logcount_predictions_loss: 0.2809 69/1106 [>.............................] - ETA: 2:23 - loss: 265.4535 - logits_profile_predictions_loss: 262.4472 - logcount_predictions_loss: 0.2810 70/1106 [>.............................] - ETA: 2:23 - loss: 265.4317 - logits_profile_predictions_loss: 262.4251 - logcount_predictions_loss: 0.2810 71/1106 [>.............................] - ETA: 2:23 - loss: 265.4132 - logits_profile_predictions_loss: 262.4061 - logcount_predictions_loss: 0.2810 72/1106 [>.............................] - ETA: 2:22 - loss: 265.4041 - logits_profile_predictions_loss: 262.3963 - logcount_predictions_loss: 0.2811 73/1106 [>.............................] - ETA: 2:22 - loss: 265.3937 - logits_profile_predictions_loss: 262.3853 - logcount_predictions_loss: 0.2812 74/1106 [=>............................] - ETA: 2:22 - loss: 265.3806 - logits_profile_predictions_loss: 262.3716 - logcount_predictions_loss: 0.2812 75/1106 [=>............................] - ETA: 2:22 - loss: 265.3706 - logits_profile_predictions_loss: 262.3612 - logcount_predictions_loss: 0.2813 76/1106 [=>............................] - ETA: 2:22 - loss: 265.3555 - logits_profile_predictions_loss: 262.3456 - logcount_predictions_loss: 0.2813 77/1106 [=>............................] - ETA: 2:22 - loss: 265.3424 - logits_profile_predictions_loss: 262.3321 - logcount_predictions_loss: 0.2813 78/1106 [=>............................] - ETA: 2:22 - loss: 265.3277 - logits_profile_predictions_loss: 262.3170 - logcount_predictions_loss: 0.2814 79/1106 [=>............................] - ETA: 2:22 - loss: 265.3173 - logits_profile_predictions_loss: 262.3064 - logcount_predictions_loss: 0.2814 80/1106 [=>............................] - ETA: 2:21 - loss: 265.3059 - logits_profile_predictions_loss: 262.2948 - logcount_predictions_loss: 0.2814 81/1106 [=>............................] - ETA: 2:21 - loss: 265.2936 - logits_profile_predictions_loss: 262.2823 - logcount_predictions_loss: 0.2814 82/1106 [=>............................] - ETA: 2:21 - loss: 265.2778 - logits_profile_predictions_loss: 262.2662 - logcount_predictions_loss: 0.2815 83/1106 [=>............................] - ETA: 2:21 - loss: 265.2628 - logits_profile_predictions_loss: 262.2510 - logcount_predictions_loss: 0.2815 84/1106 [=>............................] - ETA: 2:21 - loss: 265.2453 - logits_profile_predictions_loss: 262.2334 - logcount_predictions_loss: 0.2815 85/1106 [=>............................] - ETA: 2:21 - loss: 265.2280 - logits_profile_predictions_loss: 262.2158 - logcount_predictions_loss: 0.2815 86/1106 [=>............................] - ETA: 2:21 - loss: 265.2098 - logits_profile_predictions_loss: 262.1973 - logcount_predictions_loss: 0.2815 87/1106 [=>............................] - ETA: 2:20 - loss: 265.1905 - logits_profile_predictions_loss: 262.1777 - logcount_predictions_loss: 0.2816 88/1106 [=>............................] - ETA: 2:20 - loss: 265.1707 - logits_profile_predictions_loss: 262.1577 - logcount_predictions_loss: 0.2816 89/1106 [=>............................] - ETA: 2:20 - loss: 265.1496 - logits_profile_predictions_loss: 262.1363 - logcount_predictions_loss: 0.2816 90/1106 [=>............................] - ETA: 2:20 - loss: 265.1284 - logits_profile_predictions_loss: 262.1148 - logcount_predictions_loss: 0.2816 91/1106 [=>............................] - ETA: 2:20 - loss: 265.1048 - logits_profile_predictions_loss: 262.0908 - logcount_predictions_loss: 0.2817 92/1106 [=>............................] - ETA: 2:20 - loss: 265.0817 - logits_profile_predictions_loss: 262.0673 - logcount_predictions_loss: 0.2817 93/1106 [=>............................] - ETA: 2:20 - loss: 265.0587 - logits_profile_predictions_loss: 262.0439 - logcount_predictions_loss: 0.2818 94/1106 [=>............................] - ETA: 2:20 - loss: 265.0345 - logits_profile_predictions_loss: 262.0194 - logcount_predictions_loss: 0.2818 95/1106 [=>............................] - ETA: 2:19 - loss: 265.0113 - logits_profile_predictions_loss: 261.9958 - logcount_predictions_loss: 0.2818 96/1106 [=>............................] - ETA: 2:19 - loss: 264.9901 - logits_profile_predictions_loss: 261.9744 - logcount_predictions_loss: 0.2818 97/1106 [=>............................] - ETA: 2:19 - loss: 264.9722 - logits_profile_predictions_loss: 261.9562 - logcount_predictions_loss: 0.2819 98/1106 [=>............................] - ETA: 2:19 - loss: 264.9553 - logits_profile_predictions_loss: 261.9392 - logcount_predictions_loss: 0.2819 99/1106 [=>............................] - ETA: 2:19 - loss: 264.9365 - logits_profile_predictions_loss: 261.9203 - logcount_predictions_loss: 0.2819 100/1106 [=>............................] - ETA: 2:19 - loss: 264.9176 - logits_profile_predictions_loss: 261.9013 - logcount_predictions_loss: 0.2819 101/1106 [=>............................] - ETA: 2:19 - loss: 264.9010 - logits_profile_predictions_loss: 261.8846 - logcount_predictions_loss: 0.2819 102/1106 [=>............................] - ETA: 2:18 - loss: 264.8860 - logits_profile_predictions_loss: 261.8696 - logcount_predictions_loss: 0.2819 103/1106 [=>............................] - ETA: 2:18 - loss: 264.8711 - logits_profile_predictions_loss: 261.8546 - logcount_predictions_loss: 0.2819 104/1106 [=>............................] - ETA: 2:18 - loss: 264.8524 - logits_profile_predictions_loss: 261.8357 - logcount_predictions_loss: 0.2819 105/1106 [=>............................] - ETA: 2:18 - loss: 264.8345 - logits_profile_predictions_loss: 261.8177 - logcount_predictions_loss: 0.2819 106/1106 [=>............................] - ETA: 2:18 - loss: 264.8170 - logits_profile_predictions_loss: 261.8002 - logcount_predictions_loss: 0.2819 107/1106 [=>............................] - ETA: 2:18 - loss: 264.8026 - logits_profile_predictions_loss: 261.7856 - logcount_predictions_loss: 0.2820 108/1106 [=>............................] - ETA: 2:18 - loss: 264.7869 - logits_profile_predictions_loss: 261.7697 - logcount_predictions_loss: 0.2820 109/1106 [=>............................] - ETA: 2:18 - loss: 264.7708 - logits_profile_predictions_loss: 261.7533 - logcount_predictions_loss: 0.2820 110/1106 [=>............................] - ETA: 2:17 - loss: 264.7565 - logits_profile_predictions_loss: 261.7387 - logcount_predictions_loss: 0.2820 111/1106 [==>...........................] - ETA: 2:17 - loss: 264.7417 - logits_profile_predictions_loss: 261.7235 - logcount_predictions_loss: 0.2821 112/1106 [==>...........................] - ETA: 2:17 - loss: 264.7290 - logits_profile_predictions_loss: 261.7105 - logcount_predictions_loss: 0.2821 113/1106 [==>...........................] - ETA: 2:17 - loss: 264.7157 - logits_profile_predictions_loss: 261.6969 - logcount_predictions_loss: 0.2821 114/1106 [==>...........................] - ETA: 2:17 - loss: 264.7034 - logits_profile_predictions_loss: 261.6843 - logcount_predictions_loss: 0.2822 115/1106 [==>...........................] - ETA: 2:17 - loss: 264.6924 - logits_profile_predictions_loss: 261.6730 - logcount_predictions_loss: 0.2822 116/1106 [==>...........................] - ETA: 2:17 - loss: 264.6784 - logits_profile_predictions_loss: 261.6587 - logcount_predictions_loss: 0.2822 117/1106 [==>...........................] - ETA: 2:16 - loss: 264.6641 - logits_profile_predictions_loss: 261.6440 - logcount_predictions_loss: 0.2822 118/1106 [==>...........................] - ETA: 2:16 - loss: 264.6488 - logits_profile_predictions_loss: 261.6284 - logcount_predictions_loss: 0.2823 119/1106 [==>...........................] - ETA: 2:16 - loss: 264.6318 - logits_profile_predictions_loss: 261.6112 - logcount_predictions_loss: 0.2823 120/1106 [==>...........................] - ETA: 2:16 - loss: 264.6160 - logits_profile_predictions_loss: 261.5952 - logcount_predictions_loss: 0.2823 121/1106 [==>...........................] - ETA: 2:16 - loss: 264.5997 - logits_profile_predictions_loss: 261.5786 - logcount_predictions_loss: 0.2823 122/1106 [==>...........................] - ETA: 2:16 - loss: 264.5822 - logits_profile_predictions_loss: 261.5608 - logcount_predictions_loss: 0.2824 123/1106 [==>...........................] - ETA: 2:16 - loss: 264.5652 - logits_profile_predictions_loss: 261.5434 - logcount_predictions_loss: 0.2824 124/1106 [==>...........................] - ETA: 2:16 - loss: 264.5497 - logits_profile_predictions_loss: 261.5275 - logcount_predictions_loss: 0.2824 125/1106 [==>...........................] - ETA: 2:15 - loss: 264.5336 - logits_profile_predictions_loss: 261.5111 - logcount_predictions_loss: 0.2825 126/1106 [==>...........................] - ETA: 2:15 - loss: 264.5187 - logits_profile_predictions_loss: 261.4958 - logcount_predictions_loss: 0.2825 127/1106 [==>...........................] - ETA: 2:15 - loss: 264.5025 - logits_profile_predictions_loss: 261.4792 - logcount_predictions_loss: 0.2826 128/1106 [==>...........................] - ETA: 2:15 - loss: 264.4880 - logits_profile_predictions_loss: 261.4641 - logcount_predictions_loss: 0.2826 129/1106 [==>...........................] - ETA: 2:15 - loss: 264.4743 - logits_profile_predictions_loss: 261.4500 - logcount_predictions_loss: 0.2826 130/1106 [==>...........................] - ETA: 2:15 - loss: 264.4612 - logits_profile_predictions_loss: 261.4365 - logcount_predictions_loss: 0.2827 131/1106 [==>...........................] - ETA: 2:15 - loss: 264.4479 - logits_profile_predictions_loss: 261.4227 - logcount_predictions_loss: 0.2827 132/1106 [==>...........................] - ETA: 2:14 - loss: 264.4342 - logits_profile_predictions_loss: 261.4086 - logcount_predictions_loss: 0.2828 133/1106 [==>...........................] - ETA: 2:14 - loss: 264.4214 - logits_profile_predictions_loss: 261.3952 - logcount_predictions_loss: 0.2828 134/1106 [==>...........................] - ETA: 2:14 - loss: 264.4087 - logits_profile_predictions_loss: 261.3821 - logcount_predictions_loss: 0.2829 135/1106 [==>...........................] - ETA: 2:14 - loss: 264.3977 - logits_profile_predictions_loss: 261.3707 - logcount_predictions_loss: 0.2829 136/1106 [==>...........................] - ETA: 2:14 - loss: 264.3859 - logits_profile_predictions_loss: 261.3585 - logcount_predictions_loss: 0.2829 137/1106 [==>...........................] - ETA: 2:14 - loss: 264.3723 - logits_profile_predictions_loss: 261.3445 - logcount_predictions_loss: 0.2830 138/1106 [==>...........................] - ETA: 2:14 - loss: 264.3594 - logits_profile_predictions_loss: 261.3313 - logcount_predictions_loss: 0.2830 139/1106 [==>...........................] - ETA: 2:13 - loss: 264.3468 - logits_profile_predictions_loss: 261.3184 - logcount_predictions_loss: 0.2830 140/1106 [==>...........................] - ETA: 2:13 - loss: 264.3358 - logits_profile_predictions_loss: 261.3071 - logcount_predictions_loss: 0.2831 141/1106 [==>...........................] - ETA: 2:13 - loss: 264.3257 - logits_profile_predictions_loss: 261.2966 - logcount_predictions_loss: 0.2831 142/1106 [==>...........................] - ETA: 2:13 - loss: 264.3155 - logits_profile_predictions_loss: 261.2862 - logcount_predictions_loss: 0.2831 143/1106 [==>...........................] - ETA: 2:13 - loss: 264.3050 - logits_profile_predictions_loss: 261.2754 - logcount_predictions_loss: 0.2831 144/1106 [==>...........................] - ETA: 2:13 - loss: 264.2947 - logits_profile_predictions_loss: 261.2649 - logcount_predictions_loss: 0.2832 145/1106 [==>...........................] - ETA: 2:13 - loss: 264.2846 - logits_profile_predictions_loss: 261.2545 - logcount_predictions_loss: 0.2832 146/1106 [==>...........................] - ETA: 2:12 - loss: 264.2739 - logits_profile_predictions_loss: 261.2434 - logcount_predictions_loss: 0.2832 147/1106 [==>...........................] - ETA: 2:12 - loss: 264.2636 - logits_profile_predictions_loss: 261.2329 - logcount_predictions_loss: 0.2832 148/1106 [===>..........................] - ETA: 2:12 - loss: 264.2534 - logits_profile_predictions_loss: 261.2224 - logcount_predictions_loss: 0.2833 149/1106 [===>..........................] - ETA: 2:12 - loss: 264.2453 - logits_profile_predictions_loss: 261.2140 - logcount_predictions_loss: 0.2833 150/1106 [===>..........................] - ETA: 2:12 - loss: 264.2371 - logits_profile_predictions_loss: 261.2055 - logcount_predictions_loss: 0.2833 151/1106 [===>..........................] - ETA: 2:12 - loss: 264.2283 - logits_profile_predictions_loss: 261.1965 - logcount_predictions_loss: 0.2834 152/1106 [===>..........................] - ETA: 2:12 - loss: 264.2194 - logits_profile_predictions_loss: 261.1873 - logcount_predictions_loss: 0.2834 153/1106 [===>..........................] - ETA: 2:12 - loss: 264.2101 - logits_profile_predictions_loss: 261.1777 - logcount_predictions_loss: 0.2834 154/1106 [===>..........................] - ETA: 2:11 - loss: 264.2005 - logits_profile_predictions_loss: 261.1678 - logcount_predictions_loss: 0.2834 155/1106 [===>..........................] - ETA: 2:11 - loss: 264.1900 - logits_profile_predictions_loss: 261.1570 - logcount_predictions_loss: 0.2835 156/1106 [===>..........................] - ETA: 2:11 - loss: 264.1798 - logits_profile_predictions_loss: 261.1465 - logcount_predictions_loss: 0.2835 157/1106 [===>..........................] - ETA: 2:11 - loss: 264.1701 - logits_profile_predictions_loss: 261.1364 - logcount_predictions_loss: 0.2835 158/1106 [===>..........................] - ETA: 2:11 - loss: 264.1604 - logits_profile_predictions_loss: 261.1264 - logcount_predictions_loss: 0.2835 159/1106 [===>..........................] - ETA: 2:11 - loss: 264.1513 - logits_profile_predictions_loss: 261.1171 - logcount_predictions_loss: 0.2836 160/1106 [===>..........................] - ETA: 2:11 - loss: 264.1434 - logits_profile_predictions_loss: 261.1089 - logcount_predictions_loss: 0.2836 161/1106 [===>..........................] - ETA: 2:10 - loss: 264.1360 - logits_profile_predictions_loss: 261.1012 - logcount_predictions_loss: 0.2836 162/1106 [===>..........................] - ETA: 2:10 - loss: 264.1282 - logits_profile_predictions_loss: 261.0933 - logcount_predictions_loss: 0.2836 163/1106 [===>..........................] - ETA: 2:10 - loss: 264.1201 - logits_profile_predictions_loss: 261.0849 - logcount_predictions_loss: 0.2837 164/1106 [===>..........................] - ETA: 2:10 - loss: 264.1113 - logits_profile_predictions_loss: 261.0759 - logcount_predictions_loss: 0.2837 165/1106 [===>..........................] - ETA: 2:10 - loss: 264.1027 - logits_profile_predictions_loss: 261.0672 - logcount_predictions_loss: 0.2837 166/1106 [===>..........................] - ETA: 2:10 - loss: 264.0946 - logits_profile_predictions_loss: 261.0589 - logcount_predictions_loss: 0.2837 167/1106 [===>..........................] - ETA: 2:10 - loss: 264.0862 - logits_profile_predictions_loss: 261.0504 - logcount_predictions_loss: 0.2837 168/1106 [===>..........................] - ETA: 2:09 - loss: 264.0781 - logits_profile_predictions_loss: 261.0422 - logcount_predictions_loss: 0.2837 169/1106 [===>..........................] - ETA: 2:09 - loss: 264.0713 - logits_profile_predictions_loss: 261.0353 - logcount_predictions_loss: 0.2837 170/1106 [===>..........................] - ETA: 2:09 - loss: 264.0650 - logits_profile_predictions_loss: 261.0288 - logcount_predictions_loss: 0.2838 171/1106 [===>..........................] - ETA: 2:09 - loss: 264.0590 - logits_profile_predictions_loss: 261.0227 - logcount_predictions_loss: 0.2838 172/1106 [===>..........................] - ETA: 2:09 - loss: 264.0530 - logits_profile_predictions_loss: 261.0166 - logcount_predictions_loss: 0.2838 173/1106 [===>..........................] - ETA: 2:09 - loss: 264.0461 - logits_profile_predictions_loss: 261.0095 - logcount_predictions_loss: 0.2838 174/1106 [===>..........................] - ETA: 2:09 - loss: 264.0393 - logits_profile_predictions_loss: 261.0026 - logcount_predictions_loss: 0.2838 175/1106 [===>..........................] - ETA: 2:09 - loss: 264.0326 - logits_profile_predictions_loss: 260.9957 - logcount_predictions_loss: 0.2838 176/1106 [===>..........................] - ETA: 2:09 - loss: 264.0259 - logits_profile_predictions_loss: 260.9888 - logcount_predictions_loss: 0.2838 177/1106 [===>..........................] - ETA: 2:08 - loss: 264.0194 - logits_profile_predictions_loss: 260.9822 - logcount_predictions_loss: 0.2839 178/1106 [===>..........................] - ETA: 2:08 - loss: 264.0135 - logits_profile_predictions_loss: 260.9762 - logcount_predictions_loss: 0.2839 179/1106 [===>..........................] - ETA: 2:08 - loss: 264.0079 - logits_profile_predictions_loss: 260.9705 - logcount_predictions_loss: 0.2839 180/1106 [===>..........................] - ETA: 2:08 - loss: 264.0025 - logits_profile_predictions_loss: 260.9651 - logcount_predictions_loss: 0.2839 181/1106 [===>..........................] - ETA: 2:08 - loss: 263.9976 - logits_profile_predictions_loss: 260.9601 - logcount_predictions_loss: 0.2839 182/1106 [===>..........................] - ETA: 2:08 - loss: 263.9925 - logits_profile_predictions_loss: 260.9550 - logcount_predictions_loss: 0.2839 183/1106 [===>..........................] - ETA: 2:08 - loss: 263.9877 - logits_profile_predictions_loss: 260.9502 - logcount_predictions_loss: 0.2839 184/1106 [===>..........................] - ETA: 2:07 - loss: 263.9832 - logits_profile_predictions_loss: 260.9457 - logcount_predictions_loss: 0.2839 185/1106 [====>.........................] - ETA: 2:07 - loss: 263.9789 - logits_profile_predictions_loss: 260.9414 - logcount_predictions_loss: 0.2839 186/1106 [====>.........................] - ETA: 2:07 - loss: 263.9751 - logits_profile_predictions_loss: 260.9376 - logcount_predictions_loss: 0.2839 187/1106 [====>.........................] - ETA: 2:07 - loss: 263.9709 - logits_profile_predictions_loss: 260.9333 - logcount_predictions_loss: 0.2839 188/1106 [====>.........................] - ETA: 2:07 - loss: 263.9674 - logits_profile_predictions_loss: 260.9299 - logcount_predictions_loss: 0.2839 189/1106 [====>.........................] - ETA: 2:07 - loss: 263.9636 - logits_profile_predictions_loss: 260.9261 - logcount_predictions_loss: 0.2839 190/1106 [====>.........................] - ETA: 2:07 - loss: 263.9595 - logits_profile_predictions_loss: 260.9220 - logcount_predictions_loss: 0.2839 191/1106 [====>.........................] - ETA: 2:06 - loss: 263.9555 - logits_profile_predictions_loss: 260.9180 - logcount_predictions_loss: 0.2839 192/1106 [====>.........................] - ETA: 2:06 - loss: 263.9504 - logits_profile_predictions_loss: 260.9129 - logcount_predictions_loss: 0.2839 193/1106 [====>.........................] - ETA: 2:06 - loss: 263.9457 - logits_profile_predictions_loss: 260.9082 - logcount_predictions_loss: 0.2839 194/1106 [====>.........................] - ETA: 2:06 - loss: 263.9407 - logits_profile_predictions_loss: 260.9033 - logcount_predictions_loss: 0.2839 195/1106 [====>.........................] - ETA: 2:06 - loss: 263.9357 - logits_profile_predictions_loss: 260.8984 - logcount_predictions_loss: 0.2839 196/1106 [====>.........................] - ETA: 2:06 - loss: 263.9312 - logits_profile_predictions_loss: 260.8939 - logcount_predictions_loss: 0.2839 197/1106 [====>.........................] - ETA: 2:06 - loss: 263.9270 - logits_profile_predictions_loss: 260.8897 - logcount_predictions_loss: 0.2839 198/1106 [====>.........................] - ETA: 2:05 - loss: 263.9229 - logits_profile_predictions_loss: 260.8858 - logcount_predictions_loss: 0.2839 199/1106 [====>.........................] - ETA: 2:05 - loss: 263.9187 - logits_profile_predictions_loss: 260.8816 - logcount_predictions_loss: 0.2838 200/1106 [====>.........................] - ETA: 2:05 - loss: 263.9143 - logits_profile_predictions_loss: 260.8772 - logcount_predictions_loss: 0.2838 201/1106 [====>.........................] - ETA: 2:05 - loss: 263.9102 - logits_profile_predictions_loss: 260.8732 - logcount_predictions_loss: 0.2838 202/1106 [====>.........................] - ETA: 2:05 - loss: 263.9067 - logits_profile_predictions_loss: 260.8698 - logcount_predictions_loss: 0.2838 203/1106 [====>.........................] - ETA: 2:05 - loss: 263.9033 - logits_profile_predictions_loss: 260.8665 - logcount_predictions_loss: 0.2838 204/1106 [====>.........................] - ETA: 2:05 - loss: 263.9003 - logits_profile_predictions_loss: 260.8636 - logcount_predictions_loss: 0.2838 205/1106 [====>.........................] - ETA: 2:04 - loss: 263.8977 - logits_profile_predictions_loss: 260.8612 - logcount_predictions_loss: 0.2838 206/1106 [====>.........................] - ETA: 2:04 - loss: 263.8961 - logits_profile_predictions_loss: 260.8596 - logcount_predictions_loss: 0.2838 207/1106 [====>.........................] - ETA: 2:04 - loss: 263.8945 - logits_profile_predictions_loss: 260.8582 - logcount_predictions_loss: 0.2838 208/1106 [====>.........................] - ETA: 2:04 - loss: 263.8931 - logits_profile_predictions_loss: 260.8569 - logcount_predictions_loss: 0.2838 209/1106 [====>.........................] - ETA: 2:04 - loss: 263.8920 - logits_profile_predictions_loss: 260.8559 - logcount_predictions_loss: 0.2837 210/1106 [====>.........................] - ETA: 2:04 - loss: 263.8903 - logits_profile_predictions_loss: 260.8544 - logcount_predictions_loss: 0.2837 211/1106 [====>.........................] - ETA: 2:04 - loss: 263.8895 - logits_profile_predictions_loss: 260.8536 - logcount_predictions_loss: 0.2837 212/1106 [====>.........................] - ETA: 2:04 - loss: 263.8892 - logits_profile_predictions_loss: 260.8534 - logcount_predictions_loss: 0.2837 213/1106 [====>.........................] - ETA: 2:03 - loss: 263.8885 - logits_profile_predictions_loss: 260.8528 - logcount_predictions_loss: 0.2837 214/1106 [====>.........................] - ETA: 2:03 - loss: 263.8880 - logits_profile_predictions_loss: 260.8523 - logcount_predictions_loss: 0.2837 215/1106 [====>.........................] - ETA: 2:03 - loss: 263.8877 - logits_profile_predictions_loss: 260.8521 - logcount_predictions_loss: 0.2837 216/1106 [====>.........................] - ETA: 2:03 - loss: 263.8876 - logits_profile_predictions_loss: 260.8522 - logcount_predictions_loss: 0.2837 217/1106 [====>.........................] - ETA: 2:03 - loss: 263.8875 - logits_profile_predictions_loss: 260.8522 - logcount_predictions_loss: 0.2837 218/1106 [====>.........................] - ETA: 2:03 - loss: 263.8875 - logits_profile_predictions_loss: 260.8523 - logcount_predictions_loss: 0.2837 219/1106 [====>.........................] - ETA: 2:03 - loss: 263.8875 - logits_profile_predictions_loss: 260.8525 - logcount_predictions_loss: 0.2836 220/1106 [====>.........................] - ETA: 2:02 - loss: 263.8873 - logits_profile_predictions_loss: 260.8524 - logcount_predictions_loss: 0.2836 221/1106 [====>.........................] - ETA: 2:02 - loss: 263.8868 - logits_profile_predictions_loss: 260.8521 - logcount_predictions_loss: 0.2836 222/1106 [=====>........................] - ETA: 2:02 - loss: 263.8863 - logits_profile_predictions_loss: 260.8517 - logcount_predictions_loss: 0.2836 223/1106 [=====>........................] - ETA: 2:02 - loss: 263.8850 - logits_profile_predictions_loss: 260.8506 - logcount_predictions_loss: 0.2836 224/1106 [=====>........................] - ETA: 2:02 - loss: 263.8838 - logits_profile_predictions_loss: 260.8495 - logcount_predictions_loss: 0.2836 225/1106 [=====>........................] - ETA: 2:02 - loss: 263.8824 - logits_profile_predictions_loss: 260.8483 - logcount_predictions_loss: 0.2836 226/1106 [=====>........................] - ETA: 2:02 - loss: 263.8811 - logits_profile_predictions_loss: 260.8471 - logcount_predictions_loss: 0.2836 227/1106 [=====>........................] - ETA: 2:01 - loss: 263.8803 - logits_profile_predictions_loss: 260.8465 - logcount_predictions_loss: 0.2835 228/1106 [=====>........................] - ETA: 2:01 - loss: 263.8793 - logits_profile_predictions_loss: 260.8458 - logcount_predictions_loss: 0.2835 229/1106 [=====>........................] - ETA: 2:01 - loss: 263.8784 - logits_profile_predictions_loss: 260.8450 - logcount_predictions_loss: 0.2835 230/1106 [=====>........................] - ETA: 2:01 - loss: 263.8778 - logits_profile_predictions_loss: 260.8446 - logcount_predictions_loss: 0.2835 231/1106 [=====>........................] - ETA: 2:01 - loss: 263.8769 - 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logits_profile_predictions_loss: 260.3819 - logcount_predictions_loss: 0.2750 1096/1106 [============================>.] - ETA: 1s - loss: 263.3235 - logits_profile_predictions_loss: 260.3817 - logcount_predictions_loss: 0.2749 1097/1106 [============================>.] - ETA: 1s - loss: 263.3232 - logits_profile_predictions_loss: 260.3814 - logcount_predictions_loss: 0.2749 1098/1106 [============================>.] - ETA: 1s - loss: 263.3229 - logits_profile_predictions_loss: 260.3812 - logcount_predictions_loss: 0.2749 1099/1106 [============================>.] - ETA: 0s - loss: 263.3226 - logits_profile_predictions_loss: 260.3810 - logcount_predictions_loss: 0.2749 1100/1106 [============================>.] - ETA: 0s - loss: 263.3224 - logits_profile_predictions_loss: 260.3807 - logcount_predictions_loss: 0.2749 1101/1106 [============================>.] - ETA: 0s - loss: 263.3221 - logits_profile_predictions_loss: 260.3805 - logcount_predictions_loss: 0.2749 1102/1106 [============================>.] - ETA: 0s - loss: 263.3218 - logits_profile_predictions_loss: 260.3803 - logcount_predictions_loss: 0.2749 1103/1106 [============================>.] - ETA: 0s - loss: 263.3216 - logits_profile_predictions_loss: 260.3801 - logcount_predictions_loss: 0.2749 1104/1106 [============================>.] - ETA: 0s - loss: 263.3213 - logits_profile_predictions_loss: 260.3799 - logcount_predictions_loss: 0.2749 1105/1106 [============================>.] - ETA: 0s - loss: 263.3211 - logits_profile_predictions_loss: 260.3797 - logcount_predictions_loss: 0.2749 1106/1106 [==============================] - ETA: 0s - loss: 263.3209 - logits_profile_predictions_loss: 260.3795 - logcount_predictions_loss: 0.2749 1106/1106 [==============================] - 160s 145ms/step - loss: 263.3206 - logits_profile_predictions_loss: 260.3793 - logcount_predictions_loss: 0.2749 - val_loss: 276.6441 - val_logits_profile_predictions_loss: 273.2239 - val_logcount_predictions_loss: 0.3196 + +Epoch 00008: val_loss did not improve from 275.26187 +Epoch 9/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 229.6603 - logits_profile_predictions_loss: 226.8523 - logcount_predictions_loss: 0.2624 2/1106 [..............................] - ETA: 2:40 - loss: 230.9206 - logits_profile_predictions_loss: 228.2095 - logcount_predictions_loss: 0.2534 3/1106 [..............................] - ETA: 2:36 - loss: 233.3219 - logits_profile_predictions_loss: 230.5737 - logcount_predictions_loss: 0.2568 4/1106 [..............................] - ETA: 2:35 - loss: 235.6921 - logits_profile_predictions_loss: 232.8620 - logcount_predictions_loss: 0.2645 5/1106 [..............................] - ETA: 2:34 - loss: 239.1733 - logits_profile_predictions_loss: 236.2600 - logcount_predictions_loss: 0.2723 6/1106 [..............................] - ETA: 2:33 - loss: 242.0115 - logits_profile_predictions_loss: 239.0538 - logcount_predictions_loss: 0.2764 7/1106 [..............................] - ETA: 2:33 - loss: 244.0923 - logits_profile_predictions_loss: 241.1085 - logcount_predictions_loss: 0.2789 8/1106 [..............................] - ETA: 2:33 - loss: 245.7874 - logits_profile_predictions_loss: 242.7901 - logcount_predictions_loss: 0.2801 9/1106 [..............................] - ETA: 2:33 - loss: 247.1364 - logits_profile_predictions_loss: 244.1343 - logcount_predictions_loss: 0.2806 10/1106 [..............................] - ETA: 2:32 - loss: 248.1095 - logits_profile_predictions_loss: 245.0966 - logcount_predictions_loss: 0.2816 11/1106 [..............................] - ETA: 2:32 - loss: 249.1931 - logits_profile_predictions_loss: 246.1754 - logcount_predictions_loss: 0.2820 12/1106 [..............................] - ETA: 2:32 - loss: 250.0677 - logits_profile_predictions_loss: 247.0482 - logcount_predictions_loss: 0.2822 13/1106 [..............................] - ETA: 2:32 - loss: 250.8093 - logits_profile_predictions_loss: 247.7929 - logcount_predictions_loss: 0.2819 14/1106 [..............................] - ETA: 2:31 - loss: 251.4560 - logits_profile_predictions_loss: 248.4439 - logcount_predictions_loss: 0.2815 15/1106 [..............................] - ETA: 2:31 - loss: 252.0686 - logits_profile_predictions_loss: 249.0600 - logcount_predictions_loss: 0.2812 16/1106 [..............................] - ETA: 2:31 - loss: 252.6922 - logits_profile_predictions_loss: 249.6873 - logcount_predictions_loss: 0.2808 17/1106 [..............................] - ETA: 2:31 - loss: 253.1727 - logits_profile_predictions_loss: 250.1721 - logcount_predictions_loss: 0.2804 18/1106 [..............................] - ETA: 2:31 - loss: 253.5811 - logits_profile_predictions_loss: 250.5837 - logcount_predictions_loss: 0.2801 19/1106 [..............................] - ETA: 2:31 - loss: 254.0172 - logits_profile_predictions_loss: 251.0233 - logcount_predictions_loss: 0.2798 20/1106 [..............................] - ETA: 2:30 - loss: 254.4017 - logits_profile_predictions_loss: 251.4126 - logcount_predictions_loss: 0.2794 21/1106 [..............................] - ETA: 2:30 - loss: 254.7273 - logits_profile_predictions_loss: 251.7442 - logcount_predictions_loss: 0.2788 22/1106 [..............................] - ETA: 2:30 - loss: 255.0194 - logits_profile_predictions_loss: 252.0421 - logcount_predictions_loss: 0.2783 23/1106 [..............................] - ETA: 2:30 - loss: 255.2362 - logits_profile_predictions_loss: 252.2665 - logcount_predictions_loss: 0.2775 24/1106 [..............................] - ETA: 2:30 - loss: 255.3816 - logits_profile_predictions_loss: 252.4191 - logcount_predictions_loss: 0.2769 25/1106 [..............................] - ETA: 2:30 - loss: 255.5724 - logits_profile_predictions_loss: 252.6169 - logcount_predictions_loss: 0.2762 26/1106 [..............................] - ETA: 2:30 - loss: 255.7408 - logits_profile_predictions_loss: 252.7921 - logcount_predictions_loss: 0.2756 27/1106 [..............................] - ETA: 2:29 - loss: 255.8816 - logits_profile_predictions_loss: 252.9393 - logcount_predictions_loss: 0.2750 28/1106 [..............................] - ETA: 2:29 - loss: 256.0194 - logits_profile_predictions_loss: 253.0840 - logcount_predictions_loss: 0.2743 29/1106 [..............................] - ETA: 2:29 - loss: 256.1236 - logits_profile_predictions_loss: 253.1949 - logcount_predictions_loss: 0.2737 30/1106 [..............................] - ETA: 2:29 - loss: 256.2478 - logits_profile_predictions_loss: 253.3248 - logcount_predictions_loss: 0.2732 31/1106 [..............................] - ETA: 2:29 - loss: 256.3843 - logits_profile_predictions_loss: 253.4664 - logcount_predictions_loss: 0.2727 32/1106 [..............................] - ETA: 2:29 - loss: 256.5653 - logits_profile_predictions_loss: 253.6527 - logcount_predictions_loss: 0.2722 33/1106 [..............................] - ETA: 2:29 - loss: 256.7246 - logits_profile_predictions_loss: 253.8170 - logcount_predictions_loss: 0.2717 34/1106 [..............................] - ETA: 2:28 - loss: 256.8684 - logits_profile_predictions_loss: 253.9664 - logcount_predictions_loss: 0.2712 35/1106 [..............................] - ETA: 2:28 - loss: 257.0111 - logits_profile_predictions_loss: 254.1146 - logcount_predictions_loss: 0.2707 36/1106 [..............................] - ETA: 2:28 - loss: 257.1434 - logits_profile_predictions_loss: 254.2522 - logcount_predictions_loss: 0.2702 37/1106 [>.............................] - ETA: 2:28 - loss: 257.2647 - logits_profile_predictions_loss: 254.3793 - logcount_predictions_loss: 0.2697 38/1106 [>.............................] - ETA: 2:28 - loss: 257.3776 - logits_profile_predictions_loss: 254.4973 - logcount_predictions_loss: 0.2692 39/1106 [>.............................] - ETA: 2:28 - loss: 257.4723 - logits_profile_predictions_loss: 254.5974 - logcount_predictions_loss: 0.2687 40/1106 [>.............................] - ETA: 2:27 - loss: 257.5627 - logits_profile_predictions_loss: 254.6928 - logcount_predictions_loss: 0.2682 41/1106 [>.............................] - ETA: 2:27 - loss: 257.6434 - logits_profile_predictions_loss: 254.7783 - logcount_predictions_loss: 0.2678 42/1106 [>.............................] - ETA: 2:27 - loss: 257.7203 - logits_profile_predictions_loss: 254.8600 - logcount_predictions_loss: 0.2673 43/1106 [>.............................] - ETA: 2:27 - loss: 257.8003 - logits_profile_predictions_loss: 254.9447 - logcount_predictions_loss: 0.2669 44/1106 [>.............................] - ETA: 2:27 - loss: 257.8924 - logits_profile_predictions_loss: 255.0414 - logcount_predictions_loss: 0.2664 45/1106 [>.............................] - ETA: 2:27 - loss: 257.9776 - logits_profile_predictions_loss: 255.1313 - logcount_predictions_loss: 0.2660 46/1106 [>.............................] - ETA: 2:27 - loss: 258.0418 - logits_profile_predictions_loss: 255.2000 - logcount_predictions_loss: 0.2656 47/1106 [>.............................] - ETA: 2:26 - loss: 258.1095 - logits_profile_predictions_loss: 255.2723 - logcount_predictions_loss: 0.2652 48/1106 [>.............................] - ETA: 2:26 - loss: 258.1746 - logits_profile_predictions_loss: 255.3418 - logcount_predictions_loss: 0.2647 49/1106 [>.............................] - ETA: 2:26 - loss: 258.2347 - logits_profile_predictions_loss: 255.4059 - logcount_predictions_loss: 0.2644 50/1106 [>.............................] - ETA: 2:26 - loss: 258.2948 - logits_profile_predictions_loss: 255.4701 - logcount_predictions_loss: 0.2640 51/1106 [>.............................] - ETA: 2:26 - loss: 258.3525 - logits_profile_predictions_loss: 255.5317 - logcount_predictions_loss: 0.2636 52/1106 [>.............................] - ETA: 2:26 - loss: 258.4044 - logits_profile_predictions_loss: 255.5874 - logcount_predictions_loss: 0.2633 53/1106 [>.............................] - ETA: 2:26 - loss: 258.4556 - logits_profile_predictions_loss: 255.6420 - logcount_predictions_loss: 0.2629 54/1106 [>.............................] - ETA: 2:26 - loss: 258.5106 - logits_profile_predictions_loss: 255.7003 - logcount_predictions_loss: 0.2626 55/1106 [>.............................] - ETA: 2:25 - loss: 258.5715 - logits_profile_predictions_loss: 255.7643 - logcount_predictions_loss: 0.2623 56/1106 [>.............................] - ETA: 2:25 - loss: 258.6271 - logits_profile_predictions_loss: 255.8225 - logcount_predictions_loss: 0.2621 57/1106 [>.............................] - ETA: 2:25 - loss: 258.6807 - logits_profile_predictions_loss: 255.8787 - logcount_predictions_loss: 0.2619 58/1106 [>.............................] - ETA: 2:25 - loss: 258.7400 - logits_profile_predictions_loss: 255.9408 - logcount_predictions_loss: 0.2616 59/1106 [>.............................] - ETA: 2:25 - loss: 258.7979 - logits_profile_predictions_loss: 256.0012 - logcount_predictions_loss: 0.2614 60/1106 [>.............................] - ETA: 2:25 - loss: 258.8518 - logits_profile_predictions_loss: 256.0577 - logcount_predictions_loss: 0.2611 61/1106 [>.............................] - ETA: 2:25 - loss: 258.9056 - logits_profile_predictions_loss: 256.1141 - logcount_predictions_loss: 0.2609 62/1106 [>.............................] - ETA: 2:24 - loss: 258.9576 - logits_profile_predictions_loss: 256.1686 - logcount_predictions_loss: 0.2607 63/1106 [>.............................] - ETA: 2:24 - loss: 259.0061 - logits_profile_predictions_loss: 256.2195 - logcount_predictions_loss: 0.2604 64/1106 [>.............................] - ETA: 2:24 - loss: 259.0564 - logits_profile_predictions_loss: 256.2724 - logcount_predictions_loss: 0.2602 65/1106 [>.............................] - ETA: 2:24 - loss: 259.1024 - logits_profile_predictions_loss: 256.3209 - logcount_predictions_loss: 0.2599 66/1106 [>.............................] - ETA: 2:24 - loss: 259.1481 - logits_profile_predictions_loss: 256.3693 - logcount_predictions_loss: 0.2597 67/1106 [>.............................] - ETA: 2:24 - loss: 259.1898 - logits_profile_predictions_loss: 256.4136 - logcount_predictions_loss: 0.2595 68/1106 [>.............................] - ETA: 2:24 - loss: 259.2256 - logits_profile_predictions_loss: 256.4519 - logcount_predictions_loss: 0.2592 69/1106 [>.............................] - ETA: 2:23 - loss: 259.2593 - logits_profile_predictions_loss: 256.4880 - logcount_predictions_loss: 0.2590 70/1106 [>.............................] - ETA: 2:23 - loss: 259.2911 - logits_profile_predictions_loss: 256.5222 - logcount_predictions_loss: 0.2588 71/1106 [>.............................] - ETA: 2:23 - loss: 259.3244 - logits_profile_predictions_loss: 256.5580 - logcount_predictions_loss: 0.2585 72/1106 [>.............................] - ETA: 2:23 - loss: 259.3626 - logits_profile_predictions_loss: 256.5985 - logcount_predictions_loss: 0.2583 73/1106 [>.............................] - ETA: 2:23 - loss: 259.4006 - logits_profile_predictions_loss: 256.6387 - logcount_predictions_loss: 0.2581 74/1106 [=>............................] - ETA: 2:23 - loss: 259.4362 - logits_profile_predictions_loss: 256.6766 - logcount_predictions_loss: 0.2579 75/1106 [=>............................] - ETA: 2:23 - loss: 259.4760 - logits_profile_predictions_loss: 256.7185 - logcount_predictions_loss: 0.2577 76/1106 [=>............................] - ETA: 2:22 - loss: 259.5088 - logits_profile_predictions_loss: 256.7535 - logcount_predictions_loss: 0.2575 77/1106 [=>............................] - ETA: 2:22 - loss: 259.5374 - logits_profile_predictions_loss: 256.7839 - logcount_predictions_loss: 0.2573 78/1106 [=>............................] - ETA: 2:22 - loss: 259.5637 - logits_profile_predictions_loss: 256.8121 - logcount_predictions_loss: 0.2572 79/1106 [=>............................] - ETA: 2:22 - loss: 259.5896 - logits_profile_predictions_loss: 256.8398 - logcount_predictions_loss: 0.2570 80/1106 [=>............................] - ETA: 2:22 - loss: 259.6120 - logits_profile_predictions_loss: 256.8640 - logcount_predictions_loss: 0.2568 81/1106 [=>............................] - ETA: 2:22 - loss: 259.6337 - logits_profile_predictions_loss: 256.8875 - logcount_predictions_loss: 0.2567 82/1106 [=>............................] - ETA: 2:22 - loss: 259.6512 - logits_profile_predictions_loss: 256.9068 - logcount_predictions_loss: 0.2565 83/1106 [=>............................] - ETA: 2:21 - loss: 259.6658 - logits_profile_predictions_loss: 256.9232 - logcount_predictions_loss: 0.2563 84/1106 [=>............................] - ETA: 2:21 - loss: 259.6811 - logits_profile_predictions_loss: 256.9402 - logcount_predictions_loss: 0.2562 85/1106 [=>............................] - ETA: 2:21 - loss: 259.6956 - logits_profile_predictions_loss: 256.9566 - logcount_predictions_loss: 0.2560 86/1106 [=>............................] - ETA: 2:21 - loss: 259.7114 - logits_profile_predictions_loss: 256.9740 - logcount_predictions_loss: 0.2558 87/1106 [=>............................] - ETA: 2:21 - loss: 259.7249 - logits_profile_predictions_loss: 256.9891 - logcount_predictions_loss: 0.2557 88/1106 [=>............................] - ETA: 2:21 - loss: 259.7383 - logits_profile_predictions_loss: 257.0042 - logcount_predictions_loss: 0.2555 89/1106 [=>............................] - ETA: 2:21 - loss: 259.7510 - logits_profile_predictions_loss: 257.0186 - logcount_predictions_loss: 0.2554 90/1106 [=>............................] - ETA: 2:20 - loss: 259.7655 - logits_profile_predictions_loss: 257.0347 - logcount_predictions_loss: 0.2552 91/1106 [=>............................] - ETA: 2:20 - loss: 259.7806 - logits_profile_predictions_loss: 257.0513 - logcount_predictions_loss: 0.2551 92/1106 [=>............................] - ETA: 2:20 - loss: 259.7941 - logits_profile_predictions_loss: 257.0662 - logcount_predictions_loss: 0.2549 93/1106 [=>............................] - ETA: 2:20 - loss: 259.8052 - logits_profile_predictions_loss: 257.0787 - logcount_predictions_loss: 0.2548 94/1106 [=>............................] - ETA: 2:20 - loss: 259.8161 - logits_profile_predictions_loss: 257.0909 - logcount_predictions_loss: 0.2547 95/1106 [=>............................] - ETA: 2:20 - loss: 259.8245 - logits_profile_predictions_loss: 257.1005 - logcount_predictions_loss: 0.2546 96/1106 [=>............................] - ETA: 2:20 - loss: 259.8322 - logits_profile_predictions_loss: 257.1094 - logcount_predictions_loss: 0.2545 97/1106 [=>............................] - ETA: 2:19 - loss: 259.8374 - logits_profile_predictions_loss: 257.1158 - logcount_predictions_loss: 0.2544 98/1106 [=>............................] - ETA: 2:19 - loss: 259.8420 - logits_profile_predictions_loss: 257.1216 - logcount_predictions_loss: 0.2542 99/1106 [=>............................] - ETA: 2:19 - loss: 259.8477 - logits_profile_predictions_loss: 257.1285 - logcount_predictions_loss: 0.2541 100/1106 [=>............................] - ETA: 2:19 - loss: 259.8528 - logits_profile_predictions_loss: 257.1348 - logcount_predictions_loss: 0.2540 101/1106 [=>............................] - ETA: 2:19 - loss: 259.8564 - logits_profile_predictions_loss: 257.1397 - logcount_predictions_loss: 0.2539 102/1106 [=>............................] - ETA: 2:19 - loss: 259.8581 - logits_profile_predictions_loss: 257.1426 - logcount_predictions_loss: 0.2538 103/1106 [=>............................] - ETA: 2:19 - loss: 259.8581 - logits_profile_predictions_loss: 257.1439 - logcount_predictions_loss: 0.2537 104/1106 [=>............................] - ETA: 2:18 - loss: 259.8578 - logits_profile_predictions_loss: 257.1448 - logcount_predictions_loss: 0.2536 105/1106 [=>............................] - ETA: 2:18 - loss: 259.8577 - logits_profile_predictions_loss: 257.1457 - logcount_predictions_loss: 0.2534 106/1106 [=>............................] - ETA: 2:18 - loss: 259.8571 - logits_profile_predictions_loss: 257.1461 - logcount_predictions_loss: 0.2534 107/1106 [=>............................] - ETA: 2:18 - loss: 259.8565 - logits_profile_predictions_loss: 257.1466 - logcount_predictions_loss: 0.2533 108/1106 [=>............................] - ETA: 2:18 - loss: 259.8572 - logits_profile_predictions_loss: 257.1482 - logcount_predictions_loss: 0.2532 109/1106 [=>............................] - ETA: 2:18 - loss: 259.8589 - logits_profile_predictions_loss: 257.1509 - logcount_predictions_loss: 0.2531 110/1106 [=>............................] - ETA: 2:18 - loss: 259.8583 - logits_profile_predictions_loss: 257.1514 - logcount_predictions_loss: 0.2530 111/1106 [==>...........................] - ETA: 2:17 - loss: 259.8569 - logits_profile_predictions_loss: 257.1509 - logcount_predictions_loss: 0.2529 112/1106 [==>...........................] - ETA: 2:17 - loss: 259.8546 - logits_profile_predictions_loss: 257.1497 - logcount_predictions_loss: 0.2528 113/1106 [==>...........................] - ETA: 2:17 - loss: 259.8503 - logits_profile_predictions_loss: 257.1464 - logcount_predictions_loss: 0.2527 114/1106 [==>...........................] - ETA: 2:17 - loss: 259.8449 - logits_profile_predictions_loss: 257.1421 - logcount_predictions_loss: 0.2526 115/1106 [==>...........................] - ETA: 2:17 - loss: 259.8395 - logits_profile_predictions_loss: 257.1376 - logcount_predictions_loss: 0.2525 116/1106 [==>...........................] - ETA: 2:17 - loss: 259.8321 - logits_profile_predictions_loss: 257.1313 - logcount_predictions_loss: 0.2524 117/1106 [==>...........................] - ETA: 2:17 - loss: 259.8254 - logits_profile_predictions_loss: 257.1255 - logcount_predictions_loss: 0.2523 118/1106 [==>...........................] - ETA: 2:17 - loss: 259.8172 - logits_profile_predictions_loss: 257.1183 - logcount_predictions_loss: 0.2522 119/1106 [==>...........................] - ETA: 2:16 - loss: 259.8096 - logits_profile_predictions_loss: 257.1117 - logcount_predictions_loss: 0.2521 120/1106 [==>...........................] - ETA: 2:16 - loss: 259.8023 - logits_profile_predictions_loss: 257.1054 - logcount_predictions_loss: 0.2520 121/1106 [==>...........................] - ETA: 2:16 - loss: 259.7968 - logits_profile_predictions_loss: 257.1008 - logcount_predictions_loss: 0.2520 122/1106 [==>...........................] - ETA: 2:16 - loss: 259.7917 - logits_profile_predictions_loss: 257.0965 - logcount_predictions_loss: 0.2519 123/1106 [==>...........................] - ETA: 2:16 - loss: 259.7870 - logits_profile_predictions_loss: 257.0928 - logcount_predictions_loss: 0.2518 124/1106 [==>...........................] - ETA: 2:16 - loss: 259.7824 - logits_profile_predictions_loss: 257.0890 - logcount_predictions_loss: 0.2517 125/1106 [==>...........................] - ETA: 2:16 - loss: 259.7768 - logits_profile_predictions_loss: 257.0843 - logcount_predictions_loss: 0.2516 126/1106 [==>...........................] - ETA: 2:15 - loss: 259.7702 - logits_profile_predictions_loss: 257.0784 - logcount_predictions_loss: 0.2516 127/1106 [==>...........................] - ETA: 2:15 - loss: 259.7639 - logits_profile_predictions_loss: 257.0729 - logcount_predictions_loss: 0.2515 128/1106 [==>...........................] - ETA: 2:15 - loss: 259.7574 - logits_profile_predictions_loss: 257.0672 - logcount_predictions_loss: 0.2514 129/1106 [==>...........................] - ETA: 2:15 - loss: 259.7530 - logits_profile_predictions_loss: 257.0634 - logcount_predictions_loss: 0.2514 130/1106 [==>...........................] - ETA: 2:15 - loss: 259.7498 - logits_profile_predictions_loss: 257.0609 - logcount_predictions_loss: 0.2513 131/1106 [==>...........................] - ETA: 2:15 - loss: 259.7471 - logits_profile_predictions_loss: 257.0588 - logcount_predictions_loss: 0.2512 132/1106 [==>...........................] - ETA: 2:15 - loss: 259.7463 - logits_profile_predictions_loss: 257.0587 - logcount_predictions_loss: 0.2512 133/1106 [==>...........................] - ETA: 2:14 - loss: 259.7473 - logits_profile_predictions_loss: 257.0602 - logcount_predictions_loss: 0.2511 134/1106 [==>...........................] - ETA: 2:14 - loss: 259.7474 - logits_profile_predictions_loss: 257.0609 - logcount_predictions_loss: 0.2511 135/1106 [==>...........................] - ETA: 2:14 - loss: 259.7482 - logits_profile_predictions_loss: 257.0625 - logcount_predictions_loss: 0.2510 136/1106 [==>...........................] - ETA: 2:14 - loss: 259.7472 - logits_profile_predictions_loss: 257.0621 - logcount_predictions_loss: 0.2509 137/1106 [==>...........................] - ETA: 2:14 - loss: 259.7470 - logits_profile_predictions_loss: 257.0625 - logcount_predictions_loss: 0.2509 138/1106 [==>...........................] - ETA: 2:14 - loss: 259.7460 - logits_profile_predictions_loss: 257.0622 - logcount_predictions_loss: 0.2508 139/1106 [==>...........................] - ETA: 2:14 - loss: 259.7449 - logits_profile_predictions_loss: 257.0616 - logcount_predictions_loss: 0.2508 140/1106 [==>...........................] - ETA: 2:13 - loss: 259.7425 - logits_profile_predictions_loss: 257.0599 - logcount_predictions_loss: 0.2507 141/1106 [==>...........................] - ETA: 2:13 - loss: 259.7412 - logits_profile_predictions_loss: 257.0592 - logcount_predictions_loss: 0.2507 142/1106 [==>...........................] - ETA: 2:13 - loss: 259.7396 - logits_profile_predictions_loss: 257.0582 - logcount_predictions_loss: 0.2506 143/1106 [==>...........................] - ETA: 2:13 - loss: 259.7376 - logits_profile_predictions_loss: 257.0567 - logcount_predictions_loss: 0.2506 144/1106 [==>...........................] - ETA: 2:13 - loss: 259.7365 - logits_profile_predictions_loss: 257.0561 - logcount_predictions_loss: 0.2505 145/1106 [==>...........................] - ETA: 2:13 - loss: 259.7363 - logits_profile_predictions_loss: 257.0564 - logcount_predictions_loss: 0.2505 146/1106 [==>...........................] - ETA: 2:13 - loss: 259.7352 - logits_profile_predictions_loss: 257.0558 - logcount_predictions_loss: 0.2504 147/1106 [==>...........................] - ETA: 2:12 - loss: 259.7338 - logits_profile_predictions_loss: 257.0550 - logcount_predictions_loss: 0.2504 148/1106 [===>..........................] - ETA: 2:12 - loss: 259.7324 - logits_profile_predictions_loss: 257.0540 - logcount_predictions_loss: 0.2503 149/1106 [===>..........................] - ETA: 2:12 - loss: 259.7303 - logits_profile_predictions_loss: 257.0524 - logcount_predictions_loss: 0.2503 150/1106 [===>..........................] - ETA: 2:12 - loss: 259.7290 - logits_profile_predictions_loss: 257.0516 - logcount_predictions_loss: 0.2502 151/1106 [===>..........................] - ETA: 2:12 - loss: 259.7278 - logits_profile_predictions_loss: 257.0509 - logcount_predictions_loss: 0.2502 152/1106 [===>..........................] - ETA: 2:12 - loss: 259.7263 - logits_profile_predictions_loss: 257.0499 - logcount_predictions_loss: 0.2501 153/1106 [===>..........................] - ETA: 2:12 - loss: 259.7239 - logits_profile_predictions_loss: 257.0479 - logcount_predictions_loss: 0.2501 154/1106 [===>..........................] - ETA: 2:12 - loss: 259.7208 - logits_profile_predictions_loss: 257.0454 - logcount_predictions_loss: 0.2500 155/1106 [===>..........................] - ETA: 2:11 - loss: 259.7180 - logits_profile_predictions_loss: 257.0430 - logcount_predictions_loss: 0.2500 156/1106 [===>..........................] - ETA: 2:11 - loss: 259.7146 - logits_profile_predictions_loss: 257.0400 - logcount_predictions_loss: 0.2500 157/1106 [===>..........................] - ETA: 2:11 - loss: 259.7115 - logits_profile_predictions_loss: 257.0374 - logcount_predictions_loss: 0.2499 158/1106 [===>..........................] - ETA: 2:11 - loss: 259.7087 - logits_profile_predictions_loss: 257.0350 - logcount_predictions_loss: 0.2499 159/1106 [===>..........................] - ETA: 2:11 - loss: 259.7057 - logits_profile_predictions_loss: 257.0325 - logcount_predictions_loss: 0.2498 160/1106 [===>..........................] - ETA: 2:11 - loss: 259.7031 - logits_profile_predictions_loss: 257.0303 - logcount_predictions_loss: 0.2498 161/1106 [===>..........................] - ETA: 2:11 - loss: 259.7007 - logits_profile_predictions_loss: 257.0283 - logcount_predictions_loss: 0.2498 162/1106 [===>..........................] - ETA: 2:10 - loss: 259.6974 - logits_profile_predictions_loss: 257.0254 - logcount_predictions_loss: 0.2497 163/1106 [===>..........................] - ETA: 2:10 - loss: 259.6949 - logits_profile_predictions_loss: 257.0234 - logcount_predictions_loss: 0.2497 164/1106 [===>..........................] - ETA: 2:10 - loss: 259.6919 - logits_profile_predictions_loss: 257.0209 - logcount_predictions_loss: 0.2496 165/1106 [===>..........................] - ETA: 2:10 - loss: 259.6883 - logits_profile_predictions_loss: 257.0178 - logcount_predictions_loss: 0.2496 166/1106 [===>..........................] - ETA: 2:10 - loss: 259.6847 - logits_profile_predictions_loss: 257.0147 - logcount_predictions_loss: 0.2495 167/1106 [===>..........................] - ETA: 2:10 - loss: 259.6812 - logits_profile_predictions_loss: 257.0115 - logcount_predictions_loss: 0.2495 168/1106 [===>..........................] - ETA: 2:10 - loss: 259.6789 - logits_profile_predictions_loss: 257.0097 - logcount_predictions_loss: 0.2495 169/1106 [===>..........................] - ETA: 2:09 - loss: 259.6756 - logits_profile_predictions_loss: 257.0069 - logcount_predictions_loss: 0.2494 170/1106 [===>..........................] - ETA: 2:09 - loss: 259.6718 - logits_profile_predictions_loss: 257.0035 - logcount_predictions_loss: 0.2494 171/1106 [===>..........................] - ETA: 2:09 - loss: 259.6672 - logits_profile_predictions_loss: 256.9994 - logcount_predictions_loss: 0.2493 172/1106 [===>..........................] - ETA: 2:09 - loss: 259.6632 - logits_profile_predictions_loss: 256.9960 - logcount_predictions_loss: 0.2493 173/1106 [===>..........................] - ETA: 2:09 - loss: 259.6596 - logits_profile_predictions_loss: 256.9929 - logcount_predictions_loss: 0.2492 174/1106 [===>..........................] - ETA: 2:09 - loss: 259.6552 - logits_profile_predictions_loss: 256.9890 - logcount_predictions_loss: 0.2492 175/1106 [===>..........................] - ETA: 2:09 - loss: 259.6508 - logits_profile_predictions_loss: 256.9850 - logcount_predictions_loss: 0.2491 176/1106 [===>..........................] - ETA: 2:08 - loss: 259.6465 - logits_profile_predictions_loss: 256.9812 - logcount_predictions_loss: 0.2491 177/1106 [===>..........................] - ETA: 2:08 - loss: 259.6427 - logits_profile_predictions_loss: 256.9779 - logcount_predictions_loss: 0.2490 178/1106 [===>..........................] - ETA: 2:08 - loss: 259.6395 - logits_profile_predictions_loss: 256.9752 - logcount_predictions_loss: 0.2490 179/1106 [===>..........................] - ETA: 2:08 - loss: 259.6369 - logits_profile_predictions_loss: 256.9731 - logcount_predictions_loss: 0.2490 180/1106 [===>..........................] - ETA: 2:08 - loss: 259.6340 - logits_profile_predictions_loss: 256.9707 - logcount_predictions_loss: 0.2489 181/1106 [===>..........................] - ETA: 2:08 - loss: 259.6306 - logits_profile_predictions_loss: 256.9678 - logcount_predictions_loss: 0.2489 182/1106 [===>..........................] - ETA: 2:08 - loss: 259.6274 - logits_profile_predictions_loss: 256.9651 - logcount_predictions_loss: 0.2488 183/1106 [===>..........................] - ETA: 2:08 - loss: 259.6238 - logits_profile_predictions_loss: 256.9620 - logcount_predictions_loss: 0.2488 184/1106 [===>..........................] - ETA: 2:07 - loss: 259.6211 - logits_profile_predictions_loss: 256.9598 - logcount_predictions_loss: 0.2487 185/1106 [====>.........................] - ETA: 2:07 - loss: 259.6177 - logits_profile_predictions_loss: 256.9569 - logcount_predictions_loss: 0.2487 186/1106 [====>.........................] - ETA: 2:07 - loss: 259.6139 - logits_profile_predictions_loss: 256.9536 - logcount_predictions_loss: 0.2486 187/1106 [====>.........................] - ETA: 2:07 - loss: 259.6103 - logits_profile_predictions_loss: 256.9506 - logcount_predictions_loss: 0.2486 188/1106 [====>.........................] - ETA: 2:07 - loss: 259.6065 - logits_profile_predictions_loss: 256.9473 - logcount_predictions_loss: 0.2485 189/1106 [====>.........................] - ETA: 2:07 - loss: 259.6028 - logits_profile_predictions_loss: 256.9441 - logcount_predictions_loss: 0.2485 190/1106 [====>.........................] - ETA: 2:07 - loss: 259.5994 - logits_profile_predictions_loss: 256.9412 - logcount_predictions_loss: 0.2484 191/1106 [====>.........................] - ETA: 2:06 - loss: 259.5962 - logits_profile_predictions_loss: 256.9385 - logcount_predictions_loss: 0.2484 192/1106 [====>.........................] - ETA: 2:06 - loss: 259.5927 - logits_profile_predictions_loss: 256.9355 - logcount_predictions_loss: 0.2483 193/1106 [====>.........................] - ETA: 2:06 - loss: 259.5892 - logits_profile_predictions_loss: 256.9325 - logcount_predictions_loss: 0.2483 194/1106 [====>.........................] - ETA: 2:06 - loss: 259.5859 - logits_profile_predictions_loss: 256.9296 - logcount_predictions_loss: 0.2482 195/1106 [====>.........................] - ETA: 2:06 - loss: 259.5828 - logits_profile_predictions_loss: 256.9270 - logcount_predictions_loss: 0.2482 196/1106 [====>.........................] - ETA: 2:06 - loss: 259.5796 - logits_profile_predictions_loss: 256.9243 - logcount_predictions_loss: 0.2482 197/1106 [====>.........................] - ETA: 2:06 - loss: 259.5766 - logits_profile_predictions_loss: 256.9218 - logcount_predictions_loss: 0.2481 198/1106 [====>.........................] - ETA: 2:05 - loss: 259.5734 - logits_profile_predictions_loss: 256.9190 - logcount_predictions_loss: 0.2481 199/1106 [====>.........................] - ETA: 2:05 - loss: 259.5699 - logits_profile_predictions_loss: 256.9160 - logcount_predictions_loss: 0.2480 200/1106 [====>.........................] - ETA: 2:05 - loss: 259.5661 - logits_profile_predictions_loss: 256.9126 - logcount_predictions_loss: 0.2480 201/1106 [====>.........................] - ETA: 2:05 - loss: 259.5622 - logits_profile_predictions_loss: 256.9091 - logcount_predictions_loss: 0.2479 202/1106 [====>.........................] - ETA: 2:05 - loss: 259.5581 - logits_profile_predictions_loss: 256.9054 - logcount_predictions_loss: 0.2479 203/1106 [====>.........................] - ETA: 2:05 - loss: 259.5541 - logits_profile_predictions_loss: 256.9018 - logcount_predictions_loss: 0.2479 204/1106 [====>.........................] - ETA: 2:05 - loss: 259.5495 - logits_profile_predictions_loss: 256.8977 - logcount_predictions_loss: 0.2478 205/1106 [====>.........................] - ETA: 2:05 - loss: 259.5451 - logits_profile_predictions_loss: 256.8937 - logcount_predictions_loss: 0.2478 206/1106 [====>.........................] - ETA: 2:04 - loss: 259.5410 - logits_profile_predictions_loss: 256.8899 - logcount_predictions_loss: 0.2478 207/1106 [====>.........................] - ETA: 2:04 - loss: 259.5371 - logits_profile_predictions_loss: 256.8864 - logcount_predictions_loss: 0.2477 208/1106 [====>.........................] - ETA: 2:04 - loss: 259.5338 - logits_profile_predictions_loss: 256.8836 - logcount_predictions_loss: 0.2477 209/1106 [====>.........................] - ETA: 2:04 - loss: 259.5308 - logits_profile_predictions_loss: 256.8810 - logcount_predictions_loss: 0.2476 210/1106 [====>.........................] - ETA: 2:04 - loss: 259.5278 - logits_profile_predictions_loss: 256.8785 - logcount_predictions_loss: 0.2476 211/1106 [====>.........................] - ETA: 2:04 - loss: 259.5249 - logits_profile_predictions_loss: 256.8760 - logcount_predictions_loss: 0.2476 212/1106 [====>.........................] - ETA: 2:04 - loss: 259.5221 - logits_profile_predictions_loss: 256.8736 - logcount_predictions_loss: 0.2475 213/1106 [====>.........................] - ETA: 2:03 - loss: 259.5196 - logits_profile_predictions_loss: 256.8716 - logcount_predictions_loss: 0.2475 214/1106 [====>.........................] - ETA: 2:03 - loss: 259.5177 - logits_profile_predictions_loss: 256.8701 - logcount_predictions_loss: 0.2474 215/1106 [====>.........................] - ETA: 2:03 - loss: 259.5158 - logits_profile_predictions_loss: 256.8685 - logcount_predictions_loss: 0.2474 216/1106 [====>.........................] - ETA: 2:03 - loss: 259.5140 - logits_profile_predictions_loss: 256.8672 - logcount_predictions_loss: 0.2474 217/1106 [====>.........................] - ETA: 2:03 - loss: 259.5118 - logits_profile_predictions_loss: 256.8655 - logcount_predictions_loss: 0.2473 218/1106 [====>.........................] - ETA: 2:03 - loss: 259.5100 - logits_profile_predictions_loss: 256.8641 - logcount_predictions_loss: 0.2473 219/1106 [====>.........................] - ETA: 2:03 - loss: 259.5088 - logits_profile_predictions_loss: 256.8633 - logcount_predictions_loss: 0.2472 220/1106 [====>.........................] - ETA: 2:02 - loss: 259.5070 - logits_profile_predictions_loss: 256.8620 - logcount_predictions_loss: 0.2472 221/1106 [====>.........................] - ETA: 2:02 - loss: 259.5054 - logits_profile_predictions_loss: 256.8609 - logcount_predictions_loss: 0.2472 222/1106 [=====>........................] - ETA: 2:02 - loss: 259.5045 - logits_profile_predictions_loss: 256.8604 - logcount_predictions_loss: 0.2471 223/1106 [=====>........................] - ETA: 2:02 - loss: 259.5034 - logits_profile_predictions_loss: 256.8597 - logcount_predictions_loss: 0.2471 224/1106 [=====>........................] - ETA: 2:02 - loss: 259.5020 - logits_profile_predictions_loss: 256.8587 - logcount_predictions_loss: 0.2470 225/1106 [=====>........................] - ETA: 2:02 - loss: 259.5007 - logits_profile_predictions_loss: 256.8579 - logcount_predictions_loss: 0.2470 226/1106 [=====>........................] - ETA: 2:02 - loss: 259.4987 - logits_profile_predictions_loss: 256.8563 - logcount_predictions_loss: 0.2470 227/1106 [=====>........................] - ETA: 2:01 - loss: 259.4966 - logits_profile_predictions_loss: 256.8545 - logcount_predictions_loss: 0.2469 228/1106 [=====>........................] - ETA: 2:01 - loss: 259.4945 - logits_profile_predictions_loss: 256.8529 - logcount_predictions_loss: 0.2469 229/1106 [=====>........................] - ETA: 2:01 - loss: 259.4932 - logits_profile_predictions_loss: 256.8519 - logcount_predictions_loss: 0.2468 230/1106 [=====>........................] - ETA: 2:01 - loss: 259.4919 - logits_profile_predictions_loss: 256.8511 - logcount_predictions_loss: 0.2468 231/1106 [=====>........................] - ETA: 2:01 - loss: 259.4903 - logits_profile_predictions_loss: 256.8498 - logcount_predictions_loss: 0.2468 232/1106 [=====>........................] - ETA: 2:01 - loss: 259.4885 - logits_profile_predictions_loss: 256.8484 - logcount_predictions_loss: 0.2467 233/1106 [=====>........................] - ETA: 2:01 - loss: 259.4868 - logits_profile_predictions_loss: 256.8470 - logcount_predictions_loss: 0.2467 234/1106 [=====>........................] - ETA: 2:01 - loss: 259.4850 - logits_profile_predictions_loss: 256.8457 - logcount_predictions_loss: 0.2467 235/1106 [=====>........................] - ETA: 2:00 - loss: 259.4837 - logits_profile_predictions_loss: 256.8447 - logcount_predictions_loss: 0.2466 236/1106 [=====>........................] - ETA: 2:00 - loss: 259.4825 - logits_profile_predictions_loss: 256.8439 - logcount_predictions_loss: 0.2466 237/1106 [=====>........................] - ETA: 2:00 - loss: 259.4813 - logits_profile_predictions_loss: 256.8431 - logcount_predictions_loss: 0.2466 238/1106 [=====>........................] - ETA: 2:00 - loss: 259.4798 - logits_profile_predictions_loss: 256.8420 - logcount_predictions_loss: 0.2465 239/1106 [=====>........................] - ETA: 2:00 - loss: 259.4786 - logits_profile_predictions_loss: 256.8411 - logcount_predictions_loss: 0.2465 240/1106 [=====>........................] - ETA: 2:00 - loss: 259.4771 - logits_profile_predictions_loss: 256.8400 - logcount_predictions_loss: 0.2465 241/1106 [=====>........................] - ETA: 2:00 - loss: 259.4760 - logits_profile_predictions_loss: 256.8393 - logcount_predictions_loss: 0.2464 242/1106 [=====>........................] - ETA: 1:59 - loss: 259.4749 - logits_profile_predictions_loss: 256.8385 - logcount_predictions_loss: 0.2464 243/1106 [=====>........................] - ETA: 1:59 - loss: 259.4736 - logits_profile_predictions_loss: 256.8376 - logcount_predictions_loss: 0.2464 244/1106 [=====>........................] - ETA: 1:59 - loss: 259.4722 - logits_profile_predictions_loss: 256.8366 - logcount_predictions_loss: 0.2463 245/1106 [=====>........................] - ETA: 1:59 - loss: 259.4707 - logits_profile_predictions_loss: 256.8354 - logcount_predictions_loss: 0.2463 246/1106 [=====>........................] - ETA: 1:59 - loss: 259.4692 - logits_profile_predictions_loss: 256.8343 - logcount_predictions_loss: 0.2463 247/1106 [=====>........................] - ETA: 1:59 - loss: 259.4676 - logits_profile_predictions_loss: 256.8330 - logcount_predictions_loss: 0.2462 248/1106 [=====>........................] - ETA: 1:59 - loss: 259.4660 - logits_profile_predictions_loss: 256.8317 - logcount_predictions_loss: 0.2462 249/1106 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[============================>.] - ETA: 0s - loss: 259.0640 - logits_profile_predictions_loss: 256.4947 - logcount_predictions_loss: 0.2401 1101/1106 [============================>.] - ETA: 0s - loss: 259.0640 - logits_profile_predictions_loss: 256.4948 - logcount_predictions_loss: 0.2401 1102/1106 [============================>.] - ETA: 0s - loss: 259.0641 - logits_profile_predictions_loss: 256.4948 - logcount_predictions_loss: 0.2401 1103/1106 [============================>.] - ETA: 0s - loss: 259.0641 - logits_profile_predictions_loss: 256.4949 - logcount_predictions_loss: 0.2401 1104/1106 [============================>.] - ETA: 0s - loss: 259.0642 - logits_profile_predictions_loss: 256.4950 - logcount_predictions_loss: 0.2401 1105/1106 [============================>.] - ETA: 0s - loss: 259.0642 - logits_profile_predictions_loss: 256.4951 - logcount_predictions_loss: 0.2401 1106/1106 [==============================] - ETA: 0s - loss: 259.0643 - logits_profile_predictions_loss: 256.4952 - logcount_predictions_loss: 0.2401 1106/1106 [==============================] - 160s 145ms/step - loss: 259.0644 - logits_profile_predictions_loss: 256.4953 - logcount_predictions_loss: 0.2401 - val_loss: 277.9424 - val_logits_profile_predictions_loss: 274.4441 - val_logcount_predictions_loss: 0.3269 + +Epoch 00009: val_loss did not improve from 275.26187 +Epoch 10/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 245.9119 - logits_profile_predictions_loss: 243.3232 - logcount_predictions_loss: 0.2419 2/1106 [..............................] - ETA: 2:34 - loss: 248.6553 - logits_profile_predictions_loss: 246.1240 - logcount_predictions_loss: 0.2366 3/1106 [..............................] - ETA: 2:33 - loss: 251.2283 - logits_profile_predictions_loss: 248.7521 - logcount_predictions_loss: 0.2314 4/1106 [..............................] - ETA: 2:33 - loss: 252.1278 - logits_profile_predictions_loss: 249.6920 - logcount_predictions_loss: 0.2276 5/1106 [..............................] - ETA: 2:33 - loss: 253.4826 - logits_profile_predictions_loss: 251.0576 - logcount_predictions_loss: 0.2266 6/1106 [..............................] - ETA: 2:33 - loss: 254.7595 - logits_profile_predictions_loss: 252.3162 - logcount_predictions_loss: 0.2283 7/1106 [..............................] - ETA: 2:32 - loss: 255.9344 - logits_profile_predictions_loss: 253.4615 - logcount_predictions_loss: 0.2311 8/1106 [..............................] - ETA: 2:32 - loss: 257.3111 - logits_profile_predictions_loss: 254.8209 - logcount_predictions_loss: 0.2327 9/1106 [..............................] - ETA: 2:32 - loss: 258.2686 - logits_profile_predictions_loss: 255.7582 - logcount_predictions_loss: 0.2346 10/1106 [..............................] - ETA: 2:32 - loss: 258.7401 - logits_profile_predictions_loss: 256.2248 - logcount_predictions_loss: 0.2351 11/1106 [..............................] - ETA: 2:32 - loss: 258.9297 - logits_profile_predictions_loss: 256.4142 - logcount_predictions_loss: 0.2351 12/1106 [..............................] - ETA: 2:32 - loss: 258.9363 - logits_profile_predictions_loss: 256.4180 - logcount_predictions_loss: 0.2354 13/1106 [..............................] - ETA: 2:31 - loss: 258.8128 - logits_profile_predictions_loss: 256.2934 - logcount_predictions_loss: 0.2355 14/1106 [..............................] - ETA: 2:31 - loss: 258.8047 - logits_profile_predictions_loss: 256.2868 - logcount_predictions_loss: 0.2353 15/1106 [..............................] - ETA: 2:31 - loss: 258.7857 - logits_profile_predictions_loss: 256.2704 - logcount_predictions_loss: 0.2351 16/1106 [..............................] - ETA: 2:31 - loss: 258.7662 - logits_profile_predictions_loss: 256.2560 - logcount_predictions_loss: 0.2346 17/1106 [..............................] - ETA: 2:31 - loss: 258.6852 - logits_profile_predictions_loss: 256.1787 - logcount_predictions_loss: 0.2343 18/1106 [..............................] - ETA: 2:31 - loss: 258.5695 - logits_profile_predictions_loss: 256.0686 - logcount_predictions_loss: 0.2337 19/1106 [..............................] - ETA: 2:31 - loss: 258.4760 - logits_profile_predictions_loss: 255.9811 - logcount_predictions_loss: 0.2332 20/1106 [..............................] - ETA: 2:30 - loss: 258.4286 - logits_profile_predictions_loss: 255.9400 - logcount_predictions_loss: 0.2326 21/1106 [..............................] - ETA: 2:30 - loss: 258.4631 - logits_profile_predictions_loss: 255.9792 - logcount_predictions_loss: 0.2321 22/1106 [..............................] - ETA: 2:30 - loss: 258.5143 - logits_profile_predictions_loss: 256.0346 - logcount_predictions_loss: 0.2317 23/1106 [..............................] - ETA: 2:30 - loss: 258.5377 - logits_profile_predictions_loss: 256.0619 - logcount_predictions_loss: 0.2314 24/1106 [..............................] - ETA: 2:30 - loss: 258.5969 - logits_profile_predictions_loss: 256.1238 - logcount_predictions_loss: 0.2311 25/1106 [..............................] - ETA: 2:30 - loss: 258.6666 - logits_profile_predictions_loss: 256.1965 - logcount_predictions_loss: 0.2309 26/1106 [..............................] - ETA: 2:30 - loss: 258.7163 - logits_profile_predictions_loss: 256.2485 - logcount_predictions_loss: 0.2306 27/1106 [..............................] - ETA: 2:29 - loss: 258.7777 - logits_profile_predictions_loss: 256.3129 - logcount_predictions_loss: 0.2304 28/1106 [..............................] - ETA: 2:29 - loss: 258.8079 - logits_profile_predictions_loss: 256.3463 - logcount_predictions_loss: 0.2301 29/1106 [..............................] - ETA: 2:29 - loss: 258.8493 - logits_profile_predictions_loss: 256.3900 - logcount_predictions_loss: 0.2298 30/1106 [..............................] - ETA: 2:29 - loss: 258.9029 - logits_profile_predictions_loss: 256.4460 - logcount_predictions_loss: 0.2296 31/1106 [..............................] - ETA: 2:29 - loss: 258.9590 - logits_profile_predictions_loss: 256.5046 - logcount_predictions_loss: 0.2294 32/1106 [..............................] - ETA: 2:29 - loss: 259.0138 - logits_profile_predictions_loss: 256.5628 - logcount_predictions_loss: 0.2291 33/1106 [..............................] - ETA: 2:29 - loss: 259.0632 - logits_profile_predictions_loss: 256.6151 - logcount_predictions_loss: 0.2288 34/1106 [..............................] - ETA: 2:28 - loss: 259.0863 - logits_profile_predictions_loss: 256.6413 - logcount_predictions_loss: 0.2285 35/1106 [..............................] - ETA: 2:28 - loss: 259.0999 - logits_profile_predictions_loss: 256.6581 - logcount_predictions_loss: 0.2282 36/1106 [..............................] - ETA: 2:28 - loss: 259.1068 - logits_profile_predictions_loss: 256.6683 - logcount_predictions_loss: 0.2279 37/1106 [>.............................] - ETA: 2:28 - loss: 259.1193 - logits_profile_predictions_loss: 256.6837 - logcount_predictions_loss: 0.2276 38/1106 [>.............................] - ETA: 2:28 - loss: 259.1116 - logits_profile_predictions_loss: 256.6790 - logcount_predictions_loss: 0.2274 39/1106 [>.............................] - ETA: 2:28 - loss: 259.1156 - logits_profile_predictions_loss: 256.6859 - logcount_predictions_loss: 0.2271 40/1106 [>.............................] - ETA: 2:28 - loss: 259.1159 - logits_profile_predictions_loss: 256.6892 - logcount_predictions_loss: 0.2268 41/1106 [>.............................] - ETA: 2:27 - loss: 259.1153 - logits_profile_predictions_loss: 256.6919 - logcount_predictions_loss: 0.2265 42/1106 [>.............................] - ETA: 2:27 - loss: 259.1100 - logits_profile_predictions_loss: 256.6892 - logcount_predictions_loss: 0.2262 43/1106 [>.............................] - ETA: 2:27 - loss: 259.1152 - logits_profile_predictions_loss: 256.6971 - logcount_predictions_loss: 0.2260 44/1106 [>.............................] - ETA: 2:27 - loss: 259.1141 - logits_profile_predictions_loss: 256.6988 - logcount_predictions_loss: 0.2257 45/1106 [>.............................] - ETA: 2:27 - loss: 259.1389 - logits_profile_predictions_loss: 256.7267 - logcount_predictions_loss: 0.2255 46/1106 [>.............................] - ETA: 2:27 - loss: 259.1666 - logits_profile_predictions_loss: 256.7572 - logcount_predictions_loss: 0.2252 47/1106 [>.............................] - ETA: 2:27 - loss: 259.1884 - logits_profile_predictions_loss: 256.7820 - logcount_predictions_loss: 0.2249 48/1106 [>.............................] - ETA: 2:26 - loss: 259.2107 - logits_profile_predictions_loss: 256.8071 - logcount_predictions_loss: 0.2246 49/1106 [>.............................] - ETA: 2:26 - loss: 259.2247 - logits_profile_predictions_loss: 256.8239 - logcount_predictions_loss: 0.2244 50/1106 [>.............................] - ETA: 2:26 - loss: 259.2375 - logits_profile_predictions_loss: 256.8389 - logcount_predictions_loss: 0.2242 51/1106 [>.............................] - ETA: 2:26 - loss: 259.2452 - logits_profile_predictions_loss: 256.8490 - logcount_predictions_loss: 0.2239 52/1106 [>.............................] - ETA: 2:26 - loss: 259.2535 - logits_profile_predictions_loss: 256.8595 - logcount_predictions_loss: 0.2237 53/1106 [>.............................] - ETA: 2:26 - loss: 259.2593 - logits_profile_predictions_loss: 256.8676 - logcount_predictions_loss: 0.2235 54/1106 [>.............................] - ETA: 2:26 - loss: 259.2654 - logits_profile_predictions_loss: 256.8758 - logcount_predictions_loss: 0.2233 55/1106 [>.............................] - ETA: 2:25 - loss: 259.2765 - logits_profile_predictions_loss: 256.8889 - logcount_predictions_loss: 0.2231 56/1106 [>.............................] - ETA: 2:25 - loss: 259.2834 - logits_profile_predictions_loss: 256.8980 - logcount_predictions_loss: 0.2229 57/1106 [>.............................] - ETA: 2:25 - loss: 259.2893 - logits_profile_predictions_loss: 256.9056 - logcount_predictions_loss: 0.2228 58/1106 [>.............................] - ETA: 2:25 - loss: 259.2976 - logits_profile_predictions_loss: 256.9154 - logcount_predictions_loss: 0.2226 59/1106 [>.............................] - ETA: 2:25 - loss: 259.3004 - logits_profile_predictions_loss: 256.9197 - logcount_predictions_loss: 0.2225 60/1106 [>.............................] - ETA: 2:25 - loss: 259.3069 - logits_profile_predictions_loss: 256.9277 - logcount_predictions_loss: 0.2224 61/1106 [>.............................] - ETA: 2:25 - loss: 259.3138 - logits_profile_predictions_loss: 256.9359 - logcount_predictions_loss: 0.2222 62/1106 [>.............................] - ETA: 2:24 - loss: 259.3253 - logits_profile_predictions_loss: 256.9485 - logcount_predictions_loss: 0.2221 63/1106 [>.............................] - ETA: 2:24 - loss: 259.3299 - logits_profile_predictions_loss: 256.9545 - logcount_predictions_loss: 0.2220 64/1106 [>.............................] - ETA: 2:24 - loss: 259.3286 - logits_profile_predictions_loss: 256.9544 - logcount_predictions_loss: 0.2219 65/1106 [>.............................] - ETA: 2:24 - loss: 259.3316 - logits_profile_predictions_loss: 256.9588 - logcount_predictions_loss: 0.2218 66/1106 [>.............................] - ETA: 2:24 - loss: 259.3361 - logits_profile_predictions_loss: 256.9646 - logcount_predictions_loss: 0.2216 67/1106 [>.............................] - ETA: 2:24 - loss: 259.3449 - logits_profile_predictions_loss: 256.9745 - logcount_predictions_loss: 0.2215 68/1106 [>.............................] - ETA: 2:24 - loss: 259.3519 - logits_profile_predictions_loss: 256.9825 - logcount_predictions_loss: 0.2214 69/1106 [>.............................] - ETA: 2:23 - loss: 259.3573 - logits_profile_predictions_loss: 256.9890 - logcount_predictions_loss: 0.2213 70/1106 [>.............................] - ETA: 2:23 - loss: 259.3631 - logits_profile_predictions_loss: 256.9959 - logcount_predictions_loss: 0.2212 71/1106 [>.............................] - ETA: 2:23 - loss: 259.3663 - logits_profile_predictions_loss: 257.0004 - logcount_predictions_loss: 0.2211 72/1106 [>.............................] - ETA: 2:23 - loss: 259.3635 - logits_profile_predictions_loss: 256.9988 - logcount_predictions_loss: 0.2210 73/1106 [>.............................] - ETA: 2:23 - loss: 259.3652 - logits_profile_predictions_loss: 257.0016 - logcount_predictions_loss: 0.2209 74/1106 [=>............................] - ETA: 2:23 - loss: 259.3735 - logits_profile_predictions_loss: 257.0110 - logcount_predictions_loss: 0.2208 75/1106 [=>............................] - ETA: 2:23 - loss: 259.3782 - logits_profile_predictions_loss: 257.0168 - logcount_predictions_loss: 0.2207 76/1106 [=>............................] - ETA: 2:22 - loss: 259.3833 - logits_profile_predictions_loss: 257.0228 - logcount_predictions_loss: 0.2206 77/1106 [=>............................] - ETA: 2:22 - loss: 259.3871 - logits_profile_predictions_loss: 257.0277 - logcount_predictions_loss: 0.2205 78/1106 [=>............................] - ETA: 2:22 - loss: 259.3893 - logits_profile_predictions_loss: 257.0310 - logcount_predictions_loss: 0.2204 79/1106 [=>............................] - ETA: 2:22 - loss: 259.3918 - logits_profile_predictions_loss: 257.0344 - logcount_predictions_loss: 0.2203 80/1106 [=>............................] - ETA: 2:22 - loss: 259.3927 - logits_profile_predictions_loss: 257.0364 - logcount_predictions_loss: 0.2202 81/1106 [=>............................] - ETA: 2:22 - loss: 259.3941 - logits_profile_predictions_loss: 257.0389 - logcount_predictions_loss: 0.2201 82/1106 [=>............................] - ETA: 2:22 - loss: 259.3909 - logits_profile_predictions_loss: 257.0367 - logcount_predictions_loss: 0.2200 83/1106 [=>............................] - ETA: 2:21 - loss: 259.3838 - logits_profile_predictions_loss: 257.0303 - logcount_predictions_loss: 0.2200 84/1106 [=>............................] - ETA: 2:21 - loss: 259.3742 - logits_profile_predictions_loss: 257.0215 - logcount_predictions_loss: 0.2199 85/1106 [=>............................] - ETA: 2:21 - loss: 259.3633 - logits_profile_predictions_loss: 257.0114 - logcount_predictions_loss: 0.2198 86/1106 [=>............................] - ETA: 2:21 - loss: 259.3510 - logits_profile_predictions_loss: 256.9998 - logcount_predictions_loss: 0.2197 87/1106 [=>............................] - ETA: 2:21 - loss: 259.3400 - logits_profile_predictions_loss: 256.9894 - logcount_predictions_loss: 0.2197 88/1106 [=>............................] - ETA: 2:21 - loss: 259.3330 - logits_profile_predictions_loss: 256.9830 - logcount_predictions_loss: 0.2196 89/1106 [=>............................] - ETA: 2:21 - loss: 259.3270 - logits_profile_predictions_loss: 256.9776 - logcount_predictions_loss: 0.2196 90/1106 [=>............................] - ETA: 2:20 - loss: 259.3248 - logits_profile_predictions_loss: 256.9757 - logcount_predictions_loss: 0.2195 91/1106 [=>............................] - ETA: 2:20 - loss: 259.3247 - logits_profile_predictions_loss: 256.9760 - logcount_predictions_loss: 0.2195 92/1106 [=>............................] - ETA: 2:20 - loss: 259.3271 - logits_profile_predictions_loss: 256.9787 - logcount_predictions_loss: 0.2195 93/1106 [=>............................] - ETA: 2:20 - loss: 259.3296 - logits_profile_predictions_loss: 256.9816 - logcount_predictions_loss: 0.2194 94/1106 [=>............................] - ETA: 2:20 - loss: 259.3346 - logits_profile_predictions_loss: 256.9868 - logcount_predictions_loss: 0.2194 95/1106 [=>............................] - ETA: 2:20 - loss: 259.3389 - logits_profile_predictions_loss: 256.9914 - logcount_predictions_loss: 0.2194 96/1106 [=>............................] - ETA: 2:20 - loss: 259.3453 - logits_profile_predictions_loss: 256.9982 - logcount_predictions_loss: 0.2194 97/1106 [=>............................] - ETA: 2:19 - loss: 259.3509 - logits_profile_predictions_loss: 257.0041 - logcount_predictions_loss: 0.2193 98/1106 [=>............................] - ETA: 2:19 - loss: 259.3576 - logits_profile_predictions_loss: 257.0111 - logcount_predictions_loss: 0.2193 99/1106 [=>............................] - ETA: 2:19 - loss: 259.3643 - logits_profile_predictions_loss: 257.0181 - logcount_predictions_loss: 0.2193 100/1106 [=>............................] - ETA: 2:19 - loss: 259.3690 - logits_profile_predictions_loss: 257.0230 - logcount_predictions_loss: 0.2193 101/1106 [=>............................] - ETA: 2:19 - loss: 259.3729 - logits_profile_predictions_loss: 257.0271 - logcount_predictions_loss: 0.2192 102/1106 [=>............................] - ETA: 2:19 - loss: 259.3752 - logits_profile_predictions_loss: 257.0297 - logcount_predictions_loss: 0.2192 103/1106 [=>............................] - ETA: 2:19 - loss: 259.3774 - logits_profile_predictions_loss: 257.0321 - logcount_predictions_loss: 0.2192 104/1106 [=>............................] - ETA: 2:19 - loss: 259.3789 - logits_profile_predictions_loss: 257.0340 - logcount_predictions_loss: 0.2192 105/1106 [=>............................] - ETA: 2:18 - loss: 259.3821 - logits_profile_predictions_loss: 257.0374 - logcount_predictions_loss: 0.2191 106/1106 [=>............................] - ETA: 2:18 - loss: 259.3833 - logits_profile_predictions_loss: 257.0389 - logcount_predictions_loss: 0.2191 107/1106 [=>............................] - ETA: 2:18 - loss: 259.3854 - logits_profile_predictions_loss: 257.0412 - logcount_predictions_loss: 0.2191 108/1106 [=>............................] - ETA: 2:18 - loss: 259.3877 - logits_profile_predictions_loss: 257.0438 - logcount_predictions_loss: 0.2191 109/1106 [=>............................] - ETA: 2:18 - loss: 259.3873 - logits_profile_predictions_loss: 257.0437 - logcount_predictions_loss: 0.2190 110/1106 [=>............................] - ETA: 2:18 - loss: 259.3881 - logits_profile_predictions_loss: 257.0447 - logcount_predictions_loss: 0.2190 111/1106 [==>...........................] - ETA: 2:18 - loss: 259.3879 - logits_profile_predictions_loss: 257.0448 - logcount_predictions_loss: 0.2190 112/1106 [==>...........................] - ETA: 2:17 - loss: 259.3865 - logits_profile_predictions_loss: 257.0436 - logcount_predictions_loss: 0.2190 113/1106 [==>...........................] - ETA: 2:17 - loss: 259.3870 - logits_profile_predictions_loss: 257.0444 - logcount_predictions_loss: 0.2189 114/1106 [==>...........................] - ETA: 2:17 - loss: 259.3858 - logits_profile_predictions_loss: 257.0435 - logcount_predictions_loss: 0.2189 115/1106 [==>...........................] - ETA: 2:17 - loss: 259.3844 - logits_profile_predictions_loss: 257.0425 - logcount_predictions_loss: 0.2189 116/1106 [==>...........................] - ETA: 2:17 - loss: 259.3834 - logits_profile_predictions_loss: 257.0418 - logcount_predictions_loss: 0.2188 117/1106 [==>...........................] - ETA: 2:17 - loss: 259.3801 - logits_profile_predictions_loss: 257.0388 - logcount_predictions_loss: 0.2188 118/1106 [==>...........................] - ETA: 2:17 - loss: 259.3777 - logits_profile_predictions_loss: 257.0368 - logcount_predictions_loss: 0.2188 119/1106 [==>...........................] - ETA: 2:16 - loss: 259.3763 - logits_profile_predictions_loss: 257.0357 - logcount_predictions_loss: 0.2188 120/1106 [==>...........................] - ETA: 2:16 - loss: 259.3757 - logits_profile_predictions_loss: 257.0355 - logcount_predictions_loss: 0.2187 121/1106 [==>...........................] - ETA: 2:16 - loss: 259.3742 - logits_profile_predictions_loss: 257.0343 - logcount_predictions_loss: 0.2187 122/1106 [==>...........................] - ETA: 2:16 - loss: 259.3723 - logits_profile_predictions_loss: 257.0328 - logcount_predictions_loss: 0.2187 123/1106 [==>...........................] - ETA: 2:16 - loss: 259.3700 - logits_profile_predictions_loss: 257.0308 - logcount_predictions_loss: 0.2186 124/1106 [==>...........................] - ETA: 2:16 - loss: 259.3695 - logits_profile_predictions_loss: 257.0306 - logcount_predictions_loss: 0.2186 125/1106 [==>...........................] - ETA: 2:16 - loss: 259.3690 - logits_profile_predictions_loss: 257.0304 - logcount_predictions_loss: 0.2186 126/1106 [==>...........................] - ETA: 2:15 - loss: 259.3679 - logits_profile_predictions_loss: 257.0296 - logcount_predictions_loss: 0.2185 127/1106 [==>...........................] - ETA: 2:15 - loss: 259.3663 - logits_profile_predictions_loss: 257.0284 - logcount_predictions_loss: 0.2185 128/1106 [==>...........................] - ETA: 2:15 - loss: 259.3651 - logits_profile_predictions_loss: 257.0275 - logcount_predictions_loss: 0.2185 129/1106 [==>...........................] - ETA: 2:15 - loss: 259.3632 - logits_profile_predictions_loss: 257.0258 - logcount_predictions_loss: 0.2185 130/1106 [==>...........................] - ETA: 2:15 - loss: 259.3613 - logits_profile_predictions_loss: 257.0243 - logcount_predictions_loss: 0.2184 131/1106 [==>...........................] - ETA: 2:15 - loss: 259.3594 - logits_profile_predictions_loss: 257.0226 - logcount_predictions_loss: 0.2184 132/1106 [==>...........................] - ETA: 2:15 - loss: 259.3573 - logits_profile_predictions_loss: 257.0208 - logcount_predictions_loss: 0.2184 133/1106 [==>...........................] - ETA: 2:14 - loss: 259.3557 - logits_profile_predictions_loss: 257.0195 - logcount_predictions_loss: 0.2183 134/1106 [==>...........................] - ETA: 2:14 - loss: 259.3539 - logits_profile_predictions_loss: 257.0179 - logcount_predictions_loss: 0.2183 135/1106 [==>...........................] - ETA: 2:14 - loss: 259.3516 - logits_profile_predictions_loss: 257.0157 - logcount_predictions_loss: 0.2183 136/1106 [==>...........................] - ETA: 2:14 - loss: 259.3482 - logits_profile_predictions_loss: 257.0126 - logcount_predictions_loss: 0.2183 137/1106 [==>...........................] - ETA: 2:14 - loss: 259.3460 - logits_profile_predictions_loss: 257.0106 - logcount_predictions_loss: 0.2183 138/1106 [==>...........................] - ETA: 2:14 - loss: 259.3435 - logits_profile_predictions_loss: 257.0083 - logcount_predictions_loss: 0.2182 139/1106 [==>...........................] - ETA: 2:14 - loss: 259.3422 - logits_profile_predictions_loss: 257.0073 - logcount_predictions_loss: 0.2182 140/1106 [==>...........................] - ETA: 2:13 - loss: 259.3415 - logits_profile_predictions_loss: 257.0068 - logcount_predictions_loss: 0.2182 141/1106 [==>...........................] - ETA: 2:13 - loss: 259.3394 - logits_profile_predictions_loss: 257.0050 - logcount_predictions_loss: 0.2182 142/1106 [==>...........................] - ETA: 2:13 - loss: 259.3359 - logits_profile_predictions_loss: 257.0017 - logcount_predictions_loss: 0.2182 143/1106 [==>...........................] - ETA: 2:13 - loss: 259.3317 - logits_profile_predictions_loss: 256.9978 - logcount_predictions_loss: 0.2181 144/1106 [==>...........................] - ETA: 2:13 - loss: 259.3283 - logits_profile_predictions_loss: 256.9946 - logcount_predictions_loss: 0.2181 145/1106 [==>...........................] - ETA: 2:13 - loss: 259.3249 - logits_profile_predictions_loss: 256.9914 - logcount_predictions_loss: 0.2181 146/1106 [==>...........................] - ETA: 2:13 - loss: 259.3220 - logits_profile_predictions_loss: 256.9886 - logcount_predictions_loss: 0.2181 147/1106 [==>...........................] - ETA: 2:13 - loss: 259.3197 - logits_profile_predictions_loss: 256.9865 - logcount_predictions_loss: 0.2181 148/1106 [===>..........................] - ETA: 2:12 - loss: 259.3184 - logits_profile_predictions_loss: 256.9853 - logcount_predictions_loss: 0.2180 149/1106 [===>..........................] - ETA: 2:12 - loss: 259.3181 - logits_profile_predictions_loss: 256.9852 - logcount_predictions_loss: 0.2180 150/1106 [===>..........................] - ETA: 2:12 - loss: 259.3176 - logits_profile_predictions_loss: 256.9850 - logcount_predictions_loss: 0.2180 151/1106 [===>..........................] - ETA: 2:12 - loss: 259.3165 - logits_profile_predictions_loss: 256.9841 - logcount_predictions_loss: 0.2180 152/1106 [===>..........................] - ETA: 2:12 - loss: 259.3155 - logits_profile_predictions_loss: 256.9833 - logcount_predictions_loss: 0.2180 153/1106 [===>..........................] - ETA: 2:12 - loss: 259.3145 - logits_profile_predictions_loss: 256.9826 - logcount_predictions_loss: 0.2179 154/1106 [===>..........................] - ETA: 2:12 - loss: 259.3129 - logits_profile_predictions_loss: 256.9811 - logcount_predictions_loss: 0.2179 155/1106 [===>..........................] - ETA: 2:11 - loss: 259.3127 - logits_profile_predictions_loss: 256.9811 - logcount_predictions_loss: 0.2179 156/1106 [===>..........................] - ETA: 2:11 - loss: 259.3132 - logits_profile_predictions_loss: 256.9817 - logcount_predictions_loss: 0.2179 157/1106 [===>..........................] - ETA: 2:11 - loss: 259.3127 - logits_profile_predictions_loss: 256.9814 - logcount_predictions_loss: 0.2179 158/1106 [===>..........................] - ETA: 2:11 - loss: 259.3129 - logits_profile_predictions_loss: 256.9818 - logcount_predictions_loss: 0.2179 159/1106 [===>..........................] - ETA: 2:11 - loss: 259.3130 - logits_profile_predictions_loss: 256.9820 - logcount_predictions_loss: 0.2179 160/1106 [===>..........................] - ETA: 2:11 - loss: 259.3135 - logits_profile_predictions_loss: 256.9827 - logcount_predictions_loss: 0.2178 161/1106 [===>..........................] - ETA: 2:11 - loss: 259.3143 - logits_profile_predictions_loss: 256.9837 - logcount_predictions_loss: 0.2178 162/1106 [===>..........................] - ETA: 2:10 - loss: 259.3156 - logits_profile_predictions_loss: 256.9851 - logcount_predictions_loss: 0.2178 163/1106 [===>..........................] - ETA: 2:10 - loss: 259.3169 - logits_profile_predictions_loss: 256.9866 - logcount_predictions_loss: 0.2178 164/1106 [===>..........................] - ETA: 2:10 - loss: 259.3186 - logits_profile_predictions_loss: 256.9884 - logcount_predictions_loss: 0.2178 165/1106 [===>..........................] - ETA: 2:10 - loss: 259.3208 - logits_profile_predictions_loss: 256.9908 - logcount_predictions_loss: 0.2178 166/1106 [===>..........................] - ETA: 2:10 - loss: 259.3229 - logits_profile_predictions_loss: 256.9931 - logcount_predictions_loss: 0.2177 167/1106 [===>..........................] - ETA: 2:10 - loss: 259.3258 - logits_profile_predictions_loss: 256.9962 - logcount_predictions_loss: 0.2177 168/1106 [===>..........................] - ETA: 2:10 - loss: 259.3288 - logits_profile_predictions_loss: 256.9993 - logcount_predictions_loss: 0.2177 169/1106 [===>..........................] - ETA: 2:09 - loss: 259.3325 - logits_profile_predictions_loss: 257.0031 - logcount_predictions_loss: 0.2177 170/1106 [===>..........................] - ETA: 2:09 - loss: 259.3363 - logits_profile_predictions_loss: 257.0070 - logcount_predictions_loss: 0.2177 171/1106 [===>..........................] - ETA: 2:09 - loss: 259.3407 - logits_profile_predictions_loss: 257.0115 - logcount_predictions_loss: 0.2177 172/1106 [===>..........................] - ETA: 2:09 - loss: 259.3447 - logits_profile_predictions_loss: 257.0156 - logcount_predictions_loss: 0.2177 173/1106 [===>..........................] - ETA: 2:09 - loss: 259.3488 - logits_profile_predictions_loss: 257.0198 - logcount_predictions_loss: 0.2177 174/1106 [===>..........................] - ETA: 2:09 - loss: 259.3530 - logits_profile_predictions_loss: 257.0241 - logcount_predictions_loss: 0.2177 175/1106 [===>..........................] - ETA: 2:09 - loss: 259.3562 - logits_profile_predictions_loss: 257.0273 - logcount_predictions_loss: 0.2177 176/1106 [===>..........................] - ETA: 2:09 - loss: 259.3602 - logits_profile_predictions_loss: 257.0314 - logcount_predictions_loss: 0.2177 177/1106 [===>..........................] - ETA: 2:08 - loss: 259.3636 - logits_profile_predictions_loss: 257.0349 - logcount_predictions_loss: 0.2176 178/1106 [===>..........................] - ETA: 2:08 - loss: 259.3667 - logits_profile_predictions_loss: 257.0380 - logcount_predictions_loss: 0.2176 179/1106 [===>..........................] - ETA: 2:08 - loss: 259.3694 - logits_profile_predictions_loss: 257.0408 - logcount_predictions_loss: 0.2176 180/1106 [===>..........................] - ETA: 2:08 - loss: 259.3725 - logits_profile_predictions_loss: 257.0440 - logcount_predictions_loss: 0.2176 181/1106 [===>..........................] - ETA: 2:08 - loss: 259.3749 - logits_profile_predictions_loss: 257.0465 - logcount_predictions_loss: 0.2176 182/1106 [===>..........................] - ETA: 2:08 - loss: 259.3768 - logits_profile_predictions_loss: 257.0485 - logcount_predictions_loss: 0.2176 183/1106 [===>..........................] - ETA: 2:08 - loss: 259.3774 - logits_profile_predictions_loss: 257.0492 - logcount_predictions_loss: 0.2176 184/1106 [===>..........................] - ETA: 2:07 - loss: 259.3775 - logits_profile_predictions_loss: 257.0494 - logcount_predictions_loss: 0.2176 185/1106 [====>.........................] - ETA: 2:07 - loss: 259.3771 - logits_profile_predictions_loss: 257.0491 - logcount_predictions_loss: 0.2176 186/1106 [====>.........................] - ETA: 2:07 - loss: 259.3765 - logits_profile_predictions_loss: 257.0486 - logcount_predictions_loss: 0.2176 187/1106 [====>.........................] - ETA: 2:07 - loss: 259.3758 - logits_profile_predictions_loss: 257.0480 - logcount_predictions_loss: 0.2176 188/1106 [====>.........................] - ETA: 2:07 - loss: 259.3749 - logits_profile_predictions_loss: 257.0472 - logcount_predictions_loss: 0.2175 189/1106 [====>.........................] - ETA: 2:07 - loss: 259.3737 - logits_profile_predictions_loss: 257.0461 - logcount_predictions_loss: 0.2175 190/1106 [====>.........................] - ETA: 2:07 - loss: 259.3724 - logits_profile_predictions_loss: 257.0450 - logcount_predictions_loss: 0.2175 191/1106 [====>.........................] - ETA: 2:06 - loss: 259.3713 - logits_profile_predictions_loss: 257.0439 - logcount_predictions_loss: 0.2175 192/1106 [====>.........................] - ETA: 2:06 - loss: 259.3693 - logits_profile_predictions_loss: 257.0421 - logcount_predictions_loss: 0.2175 193/1106 [====>.........................] - ETA: 2:06 - loss: 259.3670 - logits_profile_predictions_loss: 257.0399 - logcount_predictions_loss: 0.2175 194/1106 [====>.........................] - ETA: 2:06 - loss: 259.3650 - logits_profile_predictions_loss: 257.0381 - logcount_predictions_loss: 0.2175 195/1106 [====>.........................] - ETA: 2:06 - loss: 259.3628 - logits_profile_predictions_loss: 257.0360 - logcount_predictions_loss: 0.2175 196/1106 [====>.........................] - ETA: 2:06 - loss: 259.3603 - logits_profile_predictions_loss: 257.0337 - logcount_predictions_loss: 0.2174 197/1106 [====>.........................] - ETA: 2:06 - loss: 259.3579 - logits_profile_predictions_loss: 257.0314 - logcount_predictions_loss: 0.2174 198/1106 [====>.........................] - ETA: 2:06 - loss: 259.3555 - logits_profile_predictions_loss: 257.0292 - logcount_predictions_loss: 0.2174 199/1106 [====>.........................] - ETA: 2:05 - loss: 259.3528 - logits_profile_predictions_loss: 257.0267 - logcount_predictions_loss: 0.2174 200/1106 [====>.........................] - ETA: 2:05 - loss: 259.3510 - logits_profile_predictions_loss: 257.0250 - logcount_predictions_loss: 0.2174 201/1106 [====>.........................] - ETA: 2:05 - loss: 259.3494 - logits_profile_predictions_loss: 257.0235 - logcount_predictions_loss: 0.2174 202/1106 [====>.........................] - ETA: 2:05 - loss: 259.3482 - logits_profile_predictions_loss: 257.0224 - logcount_predictions_loss: 0.2174 203/1106 [====>.........................] - ETA: 2:05 - loss: 259.3460 - logits_profile_predictions_loss: 257.0204 - logcount_predictions_loss: 0.2174 204/1106 [====>.........................] - ETA: 2:05 - loss: 259.3438 - logits_profile_predictions_loss: 257.0184 - logcount_predictions_loss: 0.2173 205/1106 [====>.........................] - ETA: 2:05 - loss: 259.3420 - logits_profile_predictions_loss: 257.0167 - logcount_predictions_loss: 0.2173 206/1106 [====>.........................] - ETA: 2:04 - loss: 259.3397 - logits_profile_predictions_loss: 257.0145 - logcount_predictions_loss: 0.2173 207/1106 [====>.........................] - ETA: 2:04 - loss: 259.3376 - logits_profile_predictions_loss: 257.0126 - logcount_predictions_loss: 0.2173 208/1106 [====>.........................] - ETA: 2:04 - loss: 259.3355 - logits_profile_predictions_loss: 257.0106 - logcount_predictions_loss: 0.2173 209/1106 [====>.........................] - ETA: 2:04 - loss: 259.3327 - logits_profile_predictions_loss: 257.0080 - logcount_predictions_loss: 0.2173 210/1106 [====>.........................] - ETA: 2:04 - loss: 259.3301 - logits_profile_predictions_loss: 257.0055 - logcount_predictions_loss: 0.2173 211/1106 [====>.........................] - ETA: 2:04 - loss: 259.3275 - logits_profile_predictions_loss: 257.0030 - logcount_predictions_loss: 0.2172 212/1106 [====>.........................] - ETA: 2:04 - loss: 259.3246 - logits_profile_predictions_loss: 257.0003 - logcount_predictions_loss: 0.2172 213/1106 [====>.........................] - ETA: 2:03 - loss: 259.3217 - logits_profile_predictions_loss: 256.9975 - logcount_predictions_loss: 0.2172 214/1106 [====>.........................] - ETA: 2:03 - loss: 259.3195 - logits_profile_predictions_loss: 256.9954 - logcount_predictions_loss: 0.2172 215/1106 [====>.........................] - ETA: 2:03 - loss: 259.3169 - logits_profile_predictions_loss: 256.9929 - logcount_predictions_loss: 0.2172 216/1106 [====>.........................] - ETA: 2:03 - loss: 259.3145 - logits_profile_predictions_loss: 256.9906 - logcount_predictions_loss: 0.2172 217/1106 [====>.........................] - ETA: 2:03 - loss: 259.3121 - logits_profile_predictions_loss: 256.9883 - logcount_predictions_loss: 0.2172 218/1106 [====>.........................] - ETA: 2:03 - loss: 259.3095 - logits_profile_predictions_loss: 256.9858 - logcount_predictions_loss: 0.2172 219/1106 [====>.........................] - ETA: 2:03 - loss: 259.3067 - logits_profile_predictions_loss: 256.9831 - logcount_predictions_loss: 0.2172 220/1106 [====>.........................] - ETA: 2:02 - loss: 259.3039 - logits_profile_predictions_loss: 256.9803 - logcount_predictions_loss: 0.2172 221/1106 [====>.........................] - ETA: 2:02 - loss: 259.3003 - logits_profile_predictions_loss: 256.9769 - logcount_predictions_loss: 0.2171 222/1106 [=====>........................] - ETA: 2:02 - loss: 259.2969 - logits_profile_predictions_loss: 256.9736 - logcount_predictions_loss: 0.2171 223/1106 [=====>........................] - ETA: 2:02 - loss: 259.2933 - logits_profile_predictions_loss: 256.9701 - logcount_predictions_loss: 0.2171 224/1106 [=====>........................] - ETA: 2:02 - loss: 259.2900 - logits_profile_predictions_loss: 256.9669 - logcount_predictions_loss: 0.2171 225/1106 [=====>........................] - ETA: 2:02 - loss: 259.2866 - logits_profile_predictions_loss: 256.9635 - logcount_predictions_loss: 0.2171 226/1106 [=====>........................] - ETA: 2:02 - loss: 259.2832 - logits_profile_predictions_loss: 256.9602 - logcount_predictions_loss: 0.2171 227/1106 [=====>........................] - ETA: 2:01 - loss: 259.2799 - logits_profile_predictions_loss: 256.9571 - logcount_predictions_loss: 0.2171 228/1106 [=====>........................] - ETA: 2:01 - loss: 259.2760 - logits_profile_predictions_loss: 256.9532 - logcount_predictions_loss: 0.2171 229/1106 [=====>........................] - ETA: 2:01 - loss: 259.2718 - logits_profile_predictions_loss: 256.9492 - logcount_predictions_loss: 0.2171 230/1106 [=====>........................] - ETA: 2:01 - loss: 259.2678 - logits_profile_predictions_loss: 256.9452 - logcount_predictions_loss: 0.2171 231/1106 [=====>........................] - ETA: 2:01 - loss: 259.2640 - logits_profile_predictions_loss: 256.9416 - logcount_predictions_loss: 0.2171 232/1106 [=====>........................] - ETA: 2:01 - loss: 259.2597 - logits_profile_predictions_loss: 256.9373 - logcount_predictions_loss: 0.2170 233/1106 [=====>........................] - ETA: 2:01 - loss: 259.2550 - logits_profile_predictions_loss: 256.9327 - logcount_predictions_loss: 0.2170 234/1106 [=====>........................] - ETA: 2:01 - loss: 259.2499 - logits_profile_predictions_loss: 256.9277 - logcount_predictions_loss: 0.2170 235/1106 [=====>........................] - ETA: 2:00 - loss: 259.2446 - logits_profile_predictions_loss: 256.9224 - logcount_predictions_loss: 0.2170 236/1106 [=====>........................] - ETA: 2:00 - loss: 259.2391 - logits_profile_predictions_loss: 256.9171 - logcount_predictions_loss: 0.2170 237/1106 [=====>........................] - ETA: 2:00 - loss: 259.2338 - logits_profile_predictions_loss: 256.9117 - logcount_predictions_loss: 0.2170 238/1106 [=====>........................] - ETA: 2:00 - loss: 259.2283 - logits_profile_predictions_loss: 256.9063 - logcount_predictions_loss: 0.2170 239/1106 [=====>........................] - ETA: 2:00 - loss: 259.2232 - logits_profile_predictions_loss: 256.9013 - logcount_predictions_loss: 0.2170 240/1106 [=====>........................] - ETA: 2:00 - loss: 259.2178 - logits_profile_predictions_loss: 256.8960 - logcount_predictions_loss: 0.2170 241/1106 [=====>........................] - ETA: 2:00 - loss: 259.2131 - logits_profile_predictions_loss: 256.8913 - logcount_predictions_loss: 0.2170 242/1106 [=====>........................] - ETA: 1:59 - loss: 259.2086 - logits_profile_predictions_loss: 256.8868 - logcount_predictions_loss: 0.2170 243/1106 [=====>........................] - ETA: 1:59 - loss: 259.2047 - logits_profile_predictions_loss: 256.8829 - logcount_predictions_loss: 0.2170 244/1106 [=====>........................] - ETA: 1:59 - loss: 259.2008 - logits_profile_predictions_loss: 256.8790 - logcount_predictions_loss: 0.2170 245/1106 [=====>........................] - ETA: 1:59 - loss: 259.1967 - logits_profile_predictions_loss: 256.8749 - logcount_predictions_loss: 0.2170 246/1106 [=====>........................] - ETA: 1:59 - loss: 259.1924 - logits_profile_predictions_loss: 256.8707 - logcount_predictions_loss: 0.2170 247/1106 [=====>........................] - ETA: 1:59 - loss: 259.1887 - logits_profile_predictions_loss: 256.8670 - logcount_predictions_loss: 0.2170 248/1106 [=====>........................] - ETA: 1:59 - loss: 259.1850 - logits_profile_predictions_loss: 256.8634 - logcount_predictions_loss: 0.2170 249/1106 [=====>........................] - ETA: 1:58 - loss: 259.1812 - logits_profile_predictions_loss: 256.8596 - logcount_predictions_loss: 0.2170 250/1106 [=====>........................] - ETA: 1:58 - loss: 259.1771 - logits_profile_predictions_loss: 256.8555 - logcount_predictions_loss: 0.2170 251/1106 [=====>........................] - ETA: 1:58 - loss: 259.1728 - logits_profile_predictions_loss: 256.8512 - logcount_predictions_loss: 0.2170 252/1106 [=====>........................] - ETA: 1:58 - loss: 259.1686 - logits_profile_predictions_loss: 256.8470 - logcount_predictions_loss: 0.2170 253/1106 [=====>........................] - ETA: 1:58 - loss: 259.1641 - logits_profile_predictions_loss: 256.8426 - logcount_predictions_loss: 0.2170 254/1106 [=====>........................] - ETA: 1:58 - loss: 259.1598 - logits_profile_predictions_loss: 256.8383 - logcount_predictions_loss: 0.2170 255/1106 [=====>........................] - ETA: 1:58 - loss: 259.1555 - logits_profile_predictions_loss: 256.8341 - logcount_predictions_loss: 0.2170 256/1106 [=====>........................] - ETA: 1:57 - loss: 259.1508 - logits_profile_predictions_loss: 256.8295 - logcount_predictions_loss: 0.2170 257/1106 [=====>........................] - ETA: 1:57 - loss: 259.1462 - logits_profile_predictions_loss: 256.8249 - logcount_predictions_loss: 0.2169 258/1106 [=====>........................] - ETA: 1:57 - loss: 259.1411 - logits_profile_predictions_loss: 256.8198 - logcount_predictions_loss: 0.2169 259/1106 [======>.......................] - ETA: 1:57 - loss: 259.1362 - logits_profile_predictions_loss: 256.8149 - logcount_predictions_loss: 0.2169 260/1106 [======>.......................] - ETA: 1:57 - loss: 259.1316 - logits_profile_predictions_loss: 256.8104 - logcount_predictions_loss: 0.2169 261/1106 [======>.......................] - ETA: 1:57 - loss: 259.1273 - logits_profile_predictions_loss: 256.8061 - logcount_predictions_loss: 0.2169 262/1106 [======>.......................] - ETA: 1:57 - loss: 259.1230 - logits_profile_predictions_loss: 256.8019 - logcount_predictions_loss: 0.2169 263/1106 [======>.......................] - ETA: 1:56 - loss: 259.1191 - logits_profile_predictions_loss: 256.7980 - logcount_predictions_loss: 0.2169 264/1106 [======>.......................] - ETA: 1:56 - loss: 259.1153 - logits_profile_predictions_loss: 256.7942 - logcount_predictions_loss: 0.2169 265/1106 [======>.......................] - ETA: 1:56 - loss: 259.1113 - logits_profile_predictions_loss: 256.7902 - logcount_predictions_loss: 0.2169 266/1106 [======>.......................] - ETA: 1:56 - loss: 259.1072 - 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[==========================>...] - ETA: 13s - loss: 257.5798 - logits_profile_predictions_loss: 255.2578 - logcount_predictions_loss: 0.2170 1007/1106 [==========================>...] - ETA: 13s - loss: 257.5791 - logits_profile_predictions_loss: 255.2571 - logcount_predictions_loss: 0.2170 1008/1106 [==========================>...] - ETA: 13s - loss: 257.5784 - logits_profile_predictions_loss: 255.2564 - logcount_predictions_loss: 0.2170 1009/1106 [==========================>...] - ETA: 13s - loss: 257.5777 - logits_profile_predictions_loss: 255.2557 - logcount_predictions_loss: 0.2170 1010/1106 [==========================>...] - ETA: 13s - loss: 257.5770 - logits_profile_predictions_loss: 255.2550 - logcount_predictions_loss: 0.2170 1011/1106 [==========================>...] - ETA: 13s - loss: 257.5763 - logits_profile_predictions_loss: 255.2543 - logcount_predictions_loss: 0.2170 1012/1106 [==========================>...] - ETA: 13s - loss: 257.5756 - 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[==========================>...] - ETA: 12s - loss: 257.5709 - logits_profile_predictions_loss: 255.2488 - logcount_predictions_loss: 0.2170 1020/1106 [==========================>...] - ETA: 11s - loss: 257.5703 - logits_profile_predictions_loss: 255.2481 - logcount_predictions_loss: 0.2170 1021/1106 [==========================>...] - ETA: 11s - loss: 257.5696 - logits_profile_predictions_loss: 255.2474 - logcount_predictions_loss: 0.2170 1022/1106 [==========================>...] - ETA: 11s - loss: 257.5690 - logits_profile_predictions_loss: 255.2468 - logcount_predictions_loss: 0.2170 1023/1106 [==========================>...] - ETA: 11s - loss: 257.5683 - logits_profile_predictions_loss: 255.2461 - logcount_predictions_loss: 0.2170 1024/1106 [==========================>...] - ETA: 11s - loss: 257.5676 - logits_profile_predictions_loss: 255.2454 - logcount_predictions_loss: 0.2170 1025/1106 [==========================>...] - ETA: 11s - loss: 257.5669 - 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[==========================>...] - ETA: 10s - loss: 257.5623 - logits_profile_predictions_loss: 255.2400 - logcount_predictions_loss: 0.2170 1033/1106 [===========================>..] - ETA: 10s - loss: 257.5616 - logits_profile_predictions_loss: 255.2393 - logcount_predictions_loss: 0.2170 1034/1106 [===========================>..] - ETA: 9s - loss: 257.5610 - logits_profile_predictions_loss: 255.2387 - logcount_predictions_loss: 0.2170  1035/1106 [===========================>..] - ETA: 9s - loss: 257.5604 - logits_profile_predictions_loss: 255.2380 - logcount_predictions_loss: 0.2170 1036/1106 [===========================>..] - ETA: 9s - loss: 257.5597 - logits_profile_predictions_loss: 255.2374 - logcount_predictions_loss: 0.2170 1037/1106 [===========================>..] - ETA: 9s - loss: 257.5591 - logits_profile_predictions_loss: 255.2368 - logcount_predictions_loss: 0.2170 1038/1106 [===========================>..] - ETA: 9s - loss: 257.5584 - logits_profile_predictions_loss: 255.2361 - logcount_predictions_loss: 0.2170 1039/1106 [===========================>..] - ETA: 9s - loss: 257.5578 - logits_profile_predictions_loss: 255.2354 - logcount_predictions_loss: 0.2170 1040/1106 [===========================>..] - ETA: 9s - loss: 257.5571 - logits_profile_predictions_loss: 255.2347 - logcount_predictions_loss: 0.2170 1041/1106 [===========================>..] - ETA: 9s - loss: 257.5565 - logits_profile_predictions_loss: 255.2341 - logcount_predictions_loss: 0.2170 1042/1106 [===========================>..] - ETA: 8s - loss: 257.5558 - logits_profile_predictions_loss: 255.2334 - logcount_predictions_loss: 0.2170 1043/1106 [===========================>..] - ETA: 8s - loss: 257.5551 - logits_profile_predictions_loss: 255.2327 - logcount_predictions_loss: 0.2170 1044/1106 [===========================>..] - ETA: 8s - loss: 257.5544 - logits_profile_predictions_loss: 255.2320 - logcount_predictions_loss: 0.2170 1045/1106 [===========================>..] - ETA: 8s - loss: 257.5537 - logits_profile_predictions_loss: 255.2313 - logcount_predictions_loss: 0.2171 1046/1106 [===========================>..] - ETA: 8s - loss: 257.5530 - logits_profile_predictions_loss: 255.2305 - logcount_predictions_loss: 0.2171 1047/1106 [===========================>..] - ETA: 8s - loss: 257.5522 - logits_profile_predictions_loss: 255.2298 - logcount_predictions_loss: 0.2171 1048/1106 [===========================>..] - ETA: 8s - loss: 257.5515 - logits_profile_predictions_loss: 255.2291 - logcount_predictions_loss: 0.2171 1049/1106 [===========================>..] - ETA: 7s - loss: 257.5508 - logits_profile_predictions_loss: 255.2283 - logcount_predictions_loss: 0.2171 1050/1106 [===========================>..] - ETA: 7s - loss: 257.5501 - logits_profile_predictions_loss: 255.2276 - logcount_predictions_loss: 0.2171 1051/1106 [===========================>..] - ETA: 7s - loss: 257.5494 - logits_profile_predictions_loss: 255.2269 - logcount_predictions_loss: 0.2171 1052/1106 [===========================>..] - ETA: 7s - loss: 257.5487 - logits_profile_predictions_loss: 255.2262 - logcount_predictions_loss: 0.2171 1053/1106 [===========================>..] - ETA: 7s - loss: 257.5480 - logits_profile_predictions_loss: 255.2255 - logcount_predictions_loss: 0.2171 1054/1106 [===========================>..] - ETA: 7s - loss: 257.5473 - logits_profile_predictions_loss: 255.2248 - logcount_predictions_loss: 0.2171 1055/1106 [===========================>..] - ETA: 7s - loss: 257.5466 - logits_profile_predictions_loss: 255.2241 - logcount_predictions_loss: 0.2171 1056/1106 [===========================>..] - ETA: 6s - loss: 257.5459 - logits_profile_predictions_loss: 255.2234 - logcount_predictions_loss: 0.2171 1057/1106 [===========================>..] - ETA: 6s - loss: 257.5452 - logits_profile_predictions_loss: 255.2227 - logcount_predictions_loss: 0.2171 1058/1106 [===========================>..] - ETA: 6s - loss: 257.5445 - logits_profile_predictions_loss: 255.2220 - logcount_predictions_loss: 0.2171 1059/1106 [===========================>..] - ETA: 6s - loss: 257.5438 - logits_profile_predictions_loss: 255.2212 - logcount_predictions_loss: 0.2171 1060/1106 [===========================>..] - ETA: 6s - loss: 257.5431 - logits_profile_predictions_loss: 255.2205 - logcount_predictions_loss: 0.2171 1061/1106 [===========================>..] - ETA: 6s - loss: 257.5423 - logits_profile_predictions_loss: 255.2198 - logcount_predictions_loss: 0.2171 1062/1106 [===========================>..] - ETA: 6s - loss: 257.5416 - logits_profile_predictions_loss: 255.2191 - logcount_predictions_loss: 0.2171 1063/1106 [===========================>..] - ETA: 5s - loss: 257.5409 - logits_profile_predictions_loss: 255.2183 - logcount_predictions_loss: 0.2171 1064/1106 [===========================>..] - ETA: 5s - loss: 257.5402 - logits_profile_predictions_loss: 255.2176 - logcount_predictions_loss: 0.2171 1065/1106 [===========================>..] - ETA: 5s - loss: 257.5394 - logits_profile_predictions_loss: 255.2169 - logcount_predictions_loss: 0.2171 1066/1106 [===========================>..] - ETA: 5s - loss: 257.5388 - logits_profile_predictions_loss: 255.2162 - logcount_predictions_loss: 0.2171 1067/1106 [===========================>..] - ETA: 5s - loss: 257.5381 - logits_profile_predictions_loss: 255.2155 - logcount_predictions_loss: 0.2171 1068/1106 [===========================>..] - ETA: 5s - loss: 257.5374 - logits_profile_predictions_loss: 255.2148 - logcount_predictions_loss: 0.2171 1069/1106 [===========================>..] - ETA: 5s - loss: 257.5367 - logits_profile_predictions_loss: 255.2141 - logcount_predictions_loss: 0.2171 1070/1106 [============================>.] - ETA: 4s - loss: 257.5360 - logits_profile_predictions_loss: 255.2134 - logcount_predictions_loss: 0.2171 1071/1106 [============================>.] - ETA: 4s - loss: 257.5352 - logits_profile_predictions_loss: 255.2126 - logcount_predictions_loss: 0.2171 1072/1106 [============================>.] - ETA: 4s - loss: 257.5345 - logits_profile_predictions_loss: 255.2119 - logcount_predictions_loss: 0.2171 1073/1106 [============================>.] - ETA: 4s - loss: 257.5338 - logits_profile_predictions_loss: 255.2111 - logcount_predictions_loss: 0.2171 1074/1106 [============================>.] - ETA: 4s - loss: 257.5330 - logits_profile_predictions_loss: 255.2104 - logcount_predictions_loss: 0.2171 1075/1106 [============================>.] - ETA: 4s - loss: 257.5322 - logits_profile_predictions_loss: 255.2096 - logcount_predictions_loss: 0.2171 1076/1106 [============================>.] - ETA: 4s - loss: 257.5315 - logits_profile_predictions_loss: 255.2088 - logcount_predictions_loss: 0.2171 1077/1106 [============================>.] - ETA: 4s - loss: 257.5307 - logits_profile_predictions_loss: 255.2081 - logcount_predictions_loss: 0.2171 1078/1106 [============================>.] - ETA: 3s - loss: 257.5300 - logits_profile_predictions_loss: 255.2073 - logcount_predictions_loss: 0.2171 1079/1106 [============================>.] - ETA: 3s - loss: 257.5292 - logits_profile_predictions_loss: 255.2066 - logcount_predictions_loss: 0.2171 1080/1106 [============================>.] - ETA: 3s - loss: 257.5285 - logits_profile_predictions_loss: 255.2058 - logcount_predictions_loss: 0.2171 1081/1106 [============================>.] - ETA: 3s - loss: 257.5277 - logits_profile_predictions_loss: 255.2051 - logcount_predictions_loss: 0.2171 1082/1106 [============================>.] - ETA: 3s - loss: 257.5270 - logits_profile_predictions_loss: 255.2044 - logcount_predictions_loss: 0.2171 1083/1106 [============================>.] - ETA: 3s - loss: 257.5263 - logits_profile_predictions_loss: 255.2036 - logcount_predictions_loss: 0.2171 1084/1106 [============================>.] - ETA: 3s - loss: 257.5255 - logits_profile_predictions_loss: 255.2029 - logcount_predictions_loss: 0.2171 1085/1106 [============================>.] - ETA: 2s - loss: 257.5248 - logits_profile_predictions_loss: 255.2021 - logcount_predictions_loss: 0.2171 1086/1106 [============================>.] - ETA: 2s - loss: 257.5241 - logits_profile_predictions_loss: 255.2014 - logcount_predictions_loss: 0.2171 1087/1106 [============================>.] - ETA: 2s - loss: 257.5233 - logits_profile_predictions_loss: 255.2006 - logcount_predictions_loss: 0.2171 1088/1106 [============================>.] - ETA: 2s - loss: 257.5226 - logits_profile_predictions_loss: 255.1999 - logcount_predictions_loss: 0.2171 1089/1106 [============================>.] - ETA: 2s - loss: 257.5218 - logits_profile_predictions_loss: 255.1991 - logcount_predictions_loss: 0.2171 1090/1106 [============================>.] - ETA: 2s - loss: 257.5211 - logits_profile_predictions_loss: 255.1984 - logcount_predictions_loss: 0.2171 1091/1106 [============================>.] - ETA: 2s - loss: 257.5203 - logits_profile_predictions_loss: 255.1976 - logcount_predictions_loss: 0.2171 1092/1106 [============================>.] - ETA: 1s - loss: 257.5196 - logits_profile_predictions_loss: 255.1969 - logcount_predictions_loss: 0.2171 1093/1106 [============================>.] - ETA: 1s - loss: 257.5189 - logits_profile_predictions_loss: 255.1961 - logcount_predictions_loss: 0.2171 1094/1106 [============================>.] - ETA: 1s - loss: 257.5181 - logits_profile_predictions_loss: 255.1954 - logcount_predictions_loss: 0.2171 1095/1106 [============================>.] - ETA: 1s - loss: 257.5174 - logits_profile_predictions_loss: 255.1947 - logcount_predictions_loss: 0.2171 1096/1106 [============================>.] - ETA: 1s - loss: 257.5167 - logits_profile_predictions_loss: 255.1939 - logcount_predictions_loss: 0.2171 1097/1106 [============================>.] - ETA: 1s - loss: 257.5159 - logits_profile_predictions_loss: 255.1932 - logcount_predictions_loss: 0.2171 1098/1106 [============================>.] - ETA: 1s - loss: 257.5152 - logits_profile_predictions_loss: 255.1924 - logcount_predictions_loss: 0.2171 1099/1106 [============================>.] - ETA: 0s - loss: 257.5144 - logits_profile_predictions_loss: 255.1917 - logcount_predictions_loss: 0.2171 1100/1106 [============================>.] - ETA: 0s - loss: 257.5137 - logits_profile_predictions_loss: 255.1909 - logcount_predictions_loss: 0.2171 1101/1106 [============================>.] - ETA: 0s - loss: 257.5129 - logits_profile_predictions_loss: 255.1902 - logcount_predictions_loss: 0.2171 1102/1106 [============================>.] - ETA: 0s - loss: 257.5122 - logits_profile_predictions_loss: 255.1894 - logcount_predictions_loss: 0.2171 1103/1106 [============================>.] - ETA: 0s - loss: 257.5114 - logits_profile_predictions_loss: 255.1887 - logcount_predictions_loss: 0.2171 1104/1106 [============================>.] - ETA: 0s - loss: 257.5107 - logits_profile_predictions_loss: 255.1879 - logcount_predictions_loss: 0.2171 1105/1106 [============================>.] - ETA: 0s - loss: 257.5099 - logits_profile_predictions_loss: 255.1871 - logcount_predictions_loss: 0.2171 1106/1106 [==============================] - ETA: 0s - loss: 257.5091 - logits_profile_predictions_loss: 255.1864 - logcount_predictions_loss: 0.2171 1106/1106 [==============================] - 160s 145ms/step - loss: 257.5084 - logits_profile_predictions_loss: 255.1856 - logcount_predictions_loss: 0.2171 - val_loss: 279.0845 - val_logits_profile_predictions_loss: 275.6205 - val_logcount_predictions_loss: 0.3237 + +Epoch 00010: val_loss did not improve from 275.26187 +Restoring model weights from the end of the best epoch. +Epoch 00010: early stopping +save model +save model without bias +2022-09-22_05-55-33: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(17626, 10) +loading nonpeaks... +got split:test for bed regions:(17498, 10) +0/138 +100/138 +2022-09-22_05-56-59: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(17626, 10) +loading nonpeaks... +got split:test for bed regions:(17498, 10) +0/138 +100/138 +2022-09-22_05-58-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(17626, 10) +loading nonpeaks... +got split:test for bed regions:(17498, 10) +0/138 +100/138 +2022-09-22_05-59-15: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_05-59-15: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 1:40 3/18 [====>.........................] - ETA: 4s  4/18 [=====>........................] - ETA: 5s 5/18 [=======>......................] - ETA: 6s 6/18 [=========>....................] - ETA: 6s 7/18 [==========>...................] - ETA: 5s 8/18 [============>.................] - ETA: 5s 9/18 [==============>...............] - ETA: 4s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 3s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 2s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 20s 806ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +Saving marginal footprints +2022-09-22_06-01-25: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_06-01-25: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 40s 3/18 [====>.........................] - ETA: 0s  4/18 [=====>........................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 4s 77ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 0s 4/18 [=====>........................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 53ms/step +Saving marginal footprints diff --git a/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stdout_v1.txt b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1335f3afb76eaa185c0ce880371e1f90f5225e6d --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR823ZCR/logfile.modelling.fold_3.ENCSR823ZCR.stdout_v1.txt @@ -0,0 +1,442 @@ +2022-09-22_05-24-46: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_3/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr7', 'chr8', 'chr9', 'chr11', 'chr12', 'chr13', 'chr15', 'chr16', 'chr17', 'chr19', 'chrX', 'chrY', 'chr6', 'chr21'] +Number of peaks input: 71320 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 71320 +Number of peaks input: 17626 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 17626 +Number of non peaks input: 71447 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 71447 +Number of non peaks input: 17498 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 17498 +Number of peaks after removing outliers: 70531 +Number of nonpeaks after removing outliers: 62954 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/1968 [..............................] - ETA: 3:48:43 12/1968 [..............................] - ETA: 8s  23/1968 [..............................] - ETA: 8s 34/1968 [..............................] - ETA: 8s 46/1968 [..............................] - ETA: 8s 58/1968 [..............................] - ETA: 8s 70/1968 [>.............................] - ETA: 8s 82/1968 [>.............................] - ETA: 8s 94/1968 [>.............................] - ETA: 8s 106/1968 [>.............................] - ETA: 8s 118/1968 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1928/1968 [============================>.] - ETA: 0s 1940/1968 [============================>.] - ETA: 0s 1952/1968 [============================>.] - ETA: 0s 1964/1968 [============================>.] - ETA: 0s 1968/1968 [==============================] - ETA: 0s 1968/1968 [==============================] - 16s 4ms/step +2022-09-22_05-26-33: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(64336, 10) +loading nonpeaks... +got split:train for bed regions:(58196, 10) +loading peaks... +got split:valid for bed regions:(6195, 10) +loading nonpeaks... +got split:valid for bed regions:(4758, 10) +Epoch 1/50 + 1/1106 [..............................] - ETA: 1:43:59 - loss: 278.2768 - logits_profile_predictions_loss: 260.6843 - logcount_predictions_loss: 1.6442 2/1106 [..............................] - ETA: 2:34 - loss: 380.1897 - logits_profile_predictions_loss: 262.9953 - logcount_predictions_loss: 10.9528  3/1106 [..............................] - ETA: 2:34 - loss: 395.9050 - logits_profile_predictions_loss: 266.9714 - logcount_predictions_loss: 12.0499 4/1106 [..............................] - ETA: 2:33 - loss: 398.0876 - logits_profile_predictions_loss: 271.1984 - logcount_predictions_loss: 11.8588 5/1106 [..............................] - ETA: 2:33 - loss: 394.1601 - logits_profile_predictions_loss: 272.6093 - logcount_predictions_loss: 11.3599 6/1106 [..............................] - ETA: 2:33 - loss: 388.9602 - logits_profile_predictions_loss: 273.2116 - logcount_predictions_loss: 10.8176 7/1106 [..............................] - ETA: 2:32 - loss: 384.7117 - logits_profile_predictions_loss: 274.3229 - logcount_predictions_loss: 10.3167 8/1106 [..............................] - ETA: 2:32 - loss: 380.7390 - logits_profile_predictions_loss: 275.2314 - logcount_predictions_loss: 9.8605  9/1106 [..............................] - ETA: 2:32 - loss: 377.3950 - logits_profile_predictions_loss: 276.2636 - logcount_predictions_loss: 9.4515 10/1106 [..............................] - ETA: 2:32 - loss: 374.3851 - logits_profile_predictions_loss: 277.1749 - logcount_predictions_loss: 9.0851 11/1106 [..............................] - ETA: 2:32 - loss: 371.5624 - logits_profile_predictions_loss: 277.8745 - logcount_predictions_loss: 8.7559 12/1106 [..............................] - ETA: 2:32 - loss: 369.2688 - logits_profile_predictions_loss: 278.7351 - logcount_predictions_loss: 8.4611 13/1106 [..............................] - ETA: 2:31 - loss: 367.1282 - logits_profile_predictions_loss: 279.4566 - logcount_predictions_loss: 8.1936 14/1106 [..............................] - ETA: 2:31 - loss: 364.8290 - logits_profile_predictions_loss: 279.8035 - logcount_predictions_loss: 7.9463 15/1106 [..............................] - ETA: 2:31 - loss: 362.7808 - logits_profile_predictions_loss: 280.1632 - logcount_predictions_loss: 7.7213 16/1106 [..............................] - ETA: 2:31 - loss: 360.9414 - logits_profile_predictions_loss: 280.5265 - logcount_predictions_loss: 7.5154 17/1106 [..............................] - ETA: 2:31 - loss: 359.1540 - logits_profile_predictions_loss: 280.7802 - logcount_predictions_loss: 7.3247 18/1106 [..............................] - ETA: 2:31 - loss: 357.5221 - logits_profile_predictions_loss: 281.0315 - logcount_predictions_loss: 7.1487 19/1106 [..............................] - ETA: 2:31 - loss: 355.9882 - logits_profile_predictions_loss: 281.2419 - logcount_predictions_loss: 6.9856 20/1106 [..............................] - ETA: 2:30 - loss: 354.5579 - logits_profile_predictions_loss: 281.4339 - logcount_predictions_loss: 6.8340 21/1106 [..............................] - ETA: 2:30 - loss: 353.1673 - logits_profile_predictions_loss: 281.5638 - logcount_predictions_loss: 6.6919 22/1106 [..............................] - ETA: 2:30 - loss: 351.8256 - logits_profile_predictions_loss: 281.6472 - logcount_predictions_loss: 6.5587 23/1106 [..............................] - ETA: 2:30 - loss: 350.6207 - logits_profile_predictions_loss: 281.7683 - logcount_predictions_loss: 6.4348 24/1106 [..............................] - ETA: 2:30 - loss: 349.5194 - logits_profile_predictions_loss: 281.9046 - logcount_predictions_loss: 6.3191 25/1106 [..............................] - ETA: 2:30 - loss: 348.4888 - logits_profile_predictions_loss: 282.0393 - logcount_predictions_loss: 6.2102 26/1106 [..............................] - ETA: 2:30 - loss: 347.5222 - logits_profile_predictions_loss: 282.1673 - logcount_predictions_loss: 6.1079 27/1106 [..............................] - ETA: 2:29 - loss: 346.6028 - logits_profile_predictions_loss: 282.2829 - logcount_predictions_loss: 6.0112 28/1106 [..............................] - ETA: 2:29 - loss: 345.7656 - logits_profile_predictions_loss: 282.4201 - logcount_predictions_loss: 5.9201 29/1106 [..............................] - ETA: 2:29 - loss: 344.9680 - logits_profile_predictions_loss: 282.5452 - logcount_predictions_loss: 5.8339 30/1106 [..............................] - ETA: 2:29 - loss: 344.1886 - logits_profile_predictions_loss: 282.6437 - logcount_predictions_loss: 5.7519 31/1106 [..............................] - ETA: 2:29 - loss: 343.5008 - logits_profile_predictions_loss: 282.7823 - logcount_predictions_loss: 5.6746 32/1106 [..............................] - ETA: 2:29 - loss: 342.8179 - logits_profile_predictions_loss: 282.8902 - logcount_predictions_loss: 5.6007 33/1106 [..............................] - ETA: 2:29 - loss: 342.1820 - logits_profile_predictions_loss: 283.0042 - logcount_predictions_loss: 5.5306 34/1106 [..............................] - ETA: 2:28 - loss: 341.5702 - logits_profile_predictions_loss: 283.1083 - logcount_predictions_loss: 5.4637 35/1106 [..............................] - ETA: 2:28 - loss: 340.9723 - logits_profile_predictions_loss: 283.1953 - logcount_predictions_loss: 5.3997 36/1106 [..............................] - ETA: 2:28 - loss: 340.3973 - logits_profile_predictions_loss: 283.2754 - logcount_predictions_loss: 5.3385 37/1106 [>.............................] - ETA: 2:28 - loss: 339.8539 - logits_profile_predictions_loss: 283.3575 - logcount_predictions_loss: 5.2800 38/1106 [>.............................] - ETA: 2:28 - loss: 339.3363 - logits_profile_predictions_loss: 283.4397 - logcount_predictions_loss: 5.2240 39/1106 [>.............................] - ETA: 2:28 - loss: 338.8249 - logits_profile_predictions_loss: 283.5063 - logcount_predictions_loss: 5.1700 40/1106 [>.............................] - ETA: 2:28 - loss: 338.3201 - logits_profile_predictions_loss: 283.5579 - logcount_predictions_loss: 5.1180 41/1106 [>.............................] - ETA: 2:27 - loss: 337.8481 - logits_profile_predictions_loss: 283.6180 - logcount_predictions_loss: 5.0682 42/1106 [>.............................] - ETA: 2:27 - loss: 337.3946 - logits_profile_predictions_loss: 283.6766 - logcount_predictions_loss: 5.0204 43/1106 [>.............................] - ETA: 2:27 - loss: 336.9460 - logits_profile_predictions_loss: 283.7223 - logcount_predictions_loss: 4.9742 44/1106 [>.............................] - ETA: 2:27 - loss: 336.4905 - logits_profile_predictions_loss: 283.7467 - logcount_predictions_loss: 4.9293 45/1106 [>.............................] - ETA: 2:27 - loss: 336.0374 - logits_profile_predictions_loss: 283.7583 - logcount_predictions_loss: 4.8859 46/1106 [>.............................] - ETA: 2:27 - loss: 335.5947 - logits_profile_predictions_loss: 283.7641 - logcount_predictions_loss: 4.8440 47/1106 [>.............................] - ETA: 2:27 - loss: 335.1614 - logits_profile_predictions_loss: 283.7645 - logcount_predictions_loss: 4.8034 48/1106 [>.............................] - ETA: 2:26 - loss: 334.7337 - logits_profile_predictions_loss: 283.7573 - logcount_predictions_loss: 4.7641 49/1106 [>.............................] - ETA: 2:26 - loss: 334.3264 - logits_profile_predictions_loss: 283.7560 - logcount_predictions_loss: 4.7262 50/1106 [>.............................] - ETA: 2:26 - loss: 333.9320 - logits_profile_predictions_loss: 283.7539 - logcount_predictions_loss: 4.6895 51/1106 [>.............................] - ETA: 2:26 - loss: 333.5391 - logits_profile_predictions_loss: 283.7427 - logcount_predictions_loss: 4.6539 52/1106 [>.............................] - ETA: 2:26 - loss: 333.1531 - logits_profile_predictions_loss: 283.7272 - logcount_predictions_loss: 4.6192 53/1106 [>.............................] - ETA: 2:26 - loss: 332.7761 - logits_profile_predictions_loss: 283.7094 - logcount_predictions_loss: 4.5857 54/1106 [>.............................] - ETA: 2:26 - loss: 332.4168 - logits_profile_predictions_loss: 283.6971 - logcount_predictions_loss: 4.5532 55/1106 [>.............................] - ETA: 2:26 - loss: 332.0709 - logits_profile_predictions_loss: 283.6877 - logcount_predictions_loss: 4.5218 56/1106 [>.............................] - ETA: 2:25 - loss: 331.7283 - logits_profile_predictions_loss: 283.6727 - logcount_predictions_loss: 4.4912 57/1106 [>.............................] - ETA: 2:25 - loss: 331.3953 - logits_profile_predictions_loss: 283.6578 - logcount_predictions_loss: 4.4615 58/1106 [>.............................] - ETA: 2:25 - loss: 331.0709 - logits_profile_predictions_loss: 283.6427 - logcount_predictions_loss: 4.4325 59/1106 [>.............................] - ETA: 2:25 - loss: 330.7609 - logits_profile_predictions_loss: 283.6331 - logcount_predictions_loss: 4.4045 60/1106 [>.............................] - ETA: 2:25 - loss: 330.4504 - logits_profile_predictions_loss: 283.6164 - logcount_predictions_loss: 4.3770 61/1106 [>.............................] - ETA: 2:25 - loss: 330.1456 - logits_profile_predictions_loss: 283.5976 - logcount_predictions_loss: 4.3503 62/1106 [>.............................] - ETA: 2:25 - loss: 329.8471 - logits_profile_predictions_loss: 283.5777 - logcount_predictions_loss: 4.3242 63/1106 [>.............................] - ETA: 2:24 - loss: 329.5496 - logits_profile_predictions_loss: 283.5522 - logcount_predictions_loss: 4.2988 64/1106 [>.............................] - ETA: 2:24 - loss: 329.2554 - logits_profile_predictions_loss: 283.5234 - logcount_predictions_loss: 4.2740 65/1106 [>.............................] - ETA: 2:24 - loss: 328.9727 - logits_profile_predictions_loss: 283.4990 - logcount_predictions_loss: 4.2499 66/1106 [>.............................] - ETA: 2:24 - loss: 328.6944 - logits_profile_predictions_loss: 283.4730 - logcount_predictions_loss: 4.2263 67/1106 [>.............................] - ETA: 2:24 - loss: 328.4295 - logits_profile_predictions_loss: 283.4530 - logcount_predictions_loss: 4.2034 68/1106 [>.............................] - ETA: 2:24 - loss: 328.1785 - logits_profile_predictions_loss: 283.4396 - logcount_predictions_loss: 4.1812 69/1106 [>.............................] - ETA: 2:24 - loss: 327.9259 - logits_profile_predictions_loss: 283.4194 - logcount_predictions_loss: 4.1595 70/1106 [>.............................] - ETA: 2:23 - loss: 327.6844 - logits_profile_predictions_loss: 283.4038 - logcount_predictions_loss: 4.1384 71/1106 [>.............................] - ETA: 2:23 - loss: 327.4519 - logits_profile_predictions_loss: 283.3917 - logcount_predictions_loss: 4.1178 72/1106 [>.............................] - ETA: 2:23 - loss: 327.2257 - logits_profile_predictions_loss: 283.3807 - logcount_predictions_loss: 4.0977 73/1106 [>.............................] - ETA: 2:23 - loss: 327.0015 - logits_profile_predictions_loss: 283.3676 - logcount_predictions_loss: 4.0779 74/1106 [=>............................] - ETA: 2:23 - loss: 326.7817 - logits_profile_predictions_loss: 283.3539 - logcount_predictions_loss: 4.0587 75/1106 [=>............................] - ETA: 2:23 - loss: 326.5688 - logits_profile_predictions_loss: 283.3420 - logcount_predictions_loss: 4.0399 76/1106 [=>............................] - ETA: 2:23 - loss: 326.3579 - logits_profile_predictions_loss: 283.3282 - logcount_predictions_loss: 4.0215 77/1106 [=>............................] - ETA: 2:22 - loss: 326.1503 - logits_profile_predictions_loss: 283.3133 - logcount_predictions_loss: 4.0035 78/1106 [=>............................] - ETA: 2:22 - loss: 325.9421 - logits_profile_predictions_loss: 283.2945 - logcount_predictions_loss: 3.9858 79/1106 [=>............................] - ETA: 2:22 - loss: 325.7352 - logits_profile_predictions_loss: 283.2732 - logcount_predictions_loss: 3.9684 80/1106 [=>............................] - ETA: 2:22 - loss: 325.5339 - logits_profile_predictions_loss: 283.2530 - logcount_predictions_loss: 3.9515 81/1106 [=>............................] - ETA: 2:22 - loss: 325.3391 - logits_profile_predictions_loss: 283.2349 - logcount_predictions_loss: 3.9350 82/1106 [=>............................] - ETA: 2:22 - loss: 325.1435 - logits_profile_predictions_loss: 283.2130 - logcount_predictions_loss: 3.9187 83/1106 [=>............................] - ETA: 2:22 - loss: 324.9543 - logits_profile_predictions_loss: 283.1936 - logcount_predictions_loss: 3.9029 84/1106 [=>............................] - ETA: 2:22 - loss: 324.7641 - logits_profile_predictions_loss: 283.1701 - logcount_predictions_loss: 3.8873 85/1106 [=>............................] - ETA: 2:21 - loss: 324.5798 - logits_profile_predictions_loss: 283.1489 - logcount_predictions_loss: 3.8720 86/1106 [=>............................] - ETA: 2:21 - loss: 324.3967 - logits_profile_predictions_loss: 283.1261 - logcount_predictions_loss: 3.8571 87/1106 [=>............................] - ETA: 2:21 - loss: 324.2180 - logits_profile_predictions_loss: 283.1044 - logcount_predictions_loss: 3.8424 88/1106 [=>............................] - ETA: 2:21 - loss: 324.0401 - logits_profile_predictions_loss: 283.0808 - logcount_predictions_loss: 3.8280 89/1106 [=>............................] - ETA: 2:21 - loss: 323.8624 - logits_profile_predictions_loss: 283.0552 - logcount_predictions_loss: 3.8137 90/1106 [=>............................] - ETA: 2:21 - loss: 323.6895 - logits_profile_predictions_loss: 283.0313 - logcount_predictions_loss: 3.7998 91/1106 [=>............................] - ETA: 2:21 - loss: 323.5169 - logits_profile_predictions_loss: 283.0053 - logcount_predictions_loss: 3.7861 92/1106 [=>............................] - ETA: 2:20 - loss: 323.3445 - logits_profile_predictions_loss: 282.9772 - logcount_predictions_loss: 3.7726 93/1106 [=>............................] - ETA: 2:20 - loss: 323.1733 - logits_profile_predictions_loss: 282.9479 - logcount_predictions_loss: 3.7594 94/1106 [=>............................] - ETA: 2:20 - loss: 322.9993 - logits_profile_predictions_loss: 282.9141 - logcount_predictions_loss: 3.7463 95/1106 [=>............................] - ETA: 2:20 - loss: 322.8241 - logits_profile_predictions_loss: 282.8773 - logcount_predictions_loss: 3.7333 96/1106 [=>............................] - ETA: 2:20 - loss: 322.6484 - logits_profile_predictions_loss: 282.8381 - logcount_predictions_loss: 3.7206 97/1106 [=>............................] - ETA: 2:20 - loss: 322.4755 - logits_profile_predictions_loss: 282.7995 - logcount_predictions_loss: 3.7080 98/1106 [=>............................] - ETA: 2:20 - loss: 322.3022 - logits_profile_predictions_loss: 282.7587 - logcount_predictions_loss: 3.6957 99/1106 [=>............................] - ETA: 2:19 - loss: 322.1362 - logits_profile_predictions_loss: 282.7222 - logcount_predictions_loss: 3.6835 100/1106 [=>............................] - ETA: 2:19 - loss: 321.9735 - logits_profile_predictions_loss: 282.6869 - logcount_predictions_loss: 3.6716 101/1106 [=>............................] - ETA: 2:19 - loss: 321.8136 - logits_profile_predictions_loss: 282.6522 - logcount_predictions_loss: 3.6599 102/1106 [=>............................] - ETA: 2:19 - loss: 321.6546 - logits_profile_predictions_loss: 282.6166 - logcount_predictions_loss: 3.6484 103/1106 [=>............................] - ETA: 2:19 - loss: 321.4996 - logits_profile_predictions_loss: 282.5827 - logcount_predictions_loss: 3.6371 104/1106 [=>............................] - ETA: 2:19 - loss: 321.3478 - logits_profile_predictions_loss: 282.5498 - logcount_predictions_loss: 3.6260 105/1106 [=>............................] - ETA: 2:19 - loss: 321.1969 - logits_profile_predictions_loss: 282.5162 - logcount_predictions_loss: 3.6150 106/1106 [=>............................] - ETA: 2:18 - loss: 321.0474 - logits_profile_predictions_loss: 282.4822 - logcount_predictions_loss: 3.6042 107/1106 [=>............................] - ETA: 2:18 - loss: 320.8988 - logits_profile_predictions_loss: 282.4474 - logcount_predictions_loss: 3.5936 108/1106 [=>............................] - ETA: 2:18 - loss: 320.7521 - logits_profile_predictions_loss: 282.4129 - logcount_predictions_loss: 3.5831 109/1106 [=>............................] - ETA: 2:18 - loss: 320.6062 - logits_profile_predictions_loss: 282.3776 - logcount_predictions_loss: 3.5728 110/1106 [=>............................] - ETA: 2:18 - loss: 320.4635 - logits_profile_predictions_loss: 282.3437 - logcount_predictions_loss: 3.5626 111/1106 [==>...........................] - ETA: 2:18 - loss: 320.3247 - logits_profile_predictions_loss: 282.3118 - logcount_predictions_loss: 3.5526 112/1106 [==>...........................] - ETA: 2:18 - loss: 320.1872 - logits_profile_predictions_loss: 282.2796 - logcount_predictions_loss: 3.5428 113/1106 [==>...........................] - ETA: 2:17 - loss: 320.0530 - logits_profile_predictions_loss: 282.2490 - logcount_predictions_loss: 3.5331 114/1106 [==>...........................] - ETA: 2:17 - loss: 319.9231 - logits_profile_predictions_loss: 282.2206 - logcount_predictions_loss: 3.5236 115/1106 [==>...........................] - ETA: 2:17 - loss: 319.7926 - logits_profile_predictions_loss: 282.1905 - logcount_predictions_loss: 3.5142 116/1106 [==>...........................] - ETA: 2:17 - loss: 319.6629 - logits_profile_predictions_loss: 282.1598 - logcount_predictions_loss: 3.5050 117/1106 [==>...........................] - ETA: 2:17 - loss: 319.5344 - logits_profile_predictions_loss: 282.1290 - logcount_predictions_loss: 3.4958 118/1106 [==>...........................] - ETA: 2:17 - loss: 319.4088 - logits_profile_predictions_loss: 282.0996 - logcount_predictions_loss: 3.4868 119/1106 [==>...........................] - ETA: 2:17 - loss: 319.2832 - logits_profile_predictions_loss: 282.0689 - logcount_predictions_loss: 3.4780 120/1106 [==>...........................] - ETA: 2:16 - loss: 319.1598 - logits_profile_predictions_loss: 282.0390 - logcount_predictions_loss: 3.4692 121/1106 [==>...........................] - ETA: 2:16 - loss: 319.0375 - logits_profile_predictions_loss: 282.0089 - logcount_predictions_loss: 3.4606 122/1106 [==>...........................] - ETA: 2:16 - loss: 318.9181 - logits_profile_predictions_loss: 281.9802 - logcount_predictions_loss: 3.4521 123/1106 [==>...........................] - ETA: 2:16 - loss: 318.7983 - logits_profile_predictions_loss: 281.9502 - logcount_predictions_loss: 3.4437 124/1106 [==>...........................] - ETA: 2:16 - loss: 318.6796 - logits_profile_predictions_loss: 281.9202 - logcount_predictions_loss: 3.4355 125/1106 [==>...........................] - ETA: 2:16 - loss: 318.5618 - logits_profile_predictions_loss: 281.8900 - logcount_predictions_loss: 3.4273 126/1106 [==>...........................] - ETA: 2:16 - loss: 318.4449 - logits_profile_predictions_loss: 281.8596 - logcount_predictions_loss: 3.4192 127/1106 [==>...........................] - ETA: 2:15 - loss: 318.3326 - logits_profile_predictions_loss: 281.8323 - logcount_predictions_loss: 3.4112 128/1106 [==>...........................] - ETA: 2:15 - loss: 318.2196 - logits_profile_predictions_loss: 281.8034 - logcount_predictions_loss: 3.4034 129/1106 [==>...........................] - ETA: 2:15 - loss: 318.1087 - logits_profile_predictions_loss: 281.7755 - logcount_predictions_loss: 3.3956 130/1106 [==>...........................] - ETA: 2:15 - loss: 317.9990 - logits_profile_predictions_loss: 281.7479 - logcount_predictions_loss: 3.3880 131/1106 [==>...........................] - ETA: 2:15 - loss: 317.8907 - logits_profile_predictions_loss: 281.7205 - logcount_predictions_loss: 3.3804 132/1106 [==>...........................] - ETA: 2:15 - loss: 317.7829 - logits_profile_predictions_loss: 281.6927 - logcount_predictions_loss: 3.3729 133/1106 [==>...........................] - ETA: 2:15 - loss: 317.6768 - logits_profile_predictions_loss: 281.6656 - logcount_predictions_loss: 3.3655 134/1106 [==>...........................] - ETA: 2:14 - loss: 317.5727 - logits_profile_predictions_loss: 281.6394 - logcount_predictions_loss: 3.3582 135/1106 [==>...........................] - ETA: 2:14 - loss: 317.4690 - logits_profile_predictions_loss: 281.6128 - logcount_predictions_loss: 3.3510 136/1106 [==>...........................] - ETA: 2:14 - loss: 317.3687 - logits_profile_predictions_loss: 281.5882 - logcount_predictions_loss: 3.3440 137/1106 [==>...........................] - ETA: 2:14 - loss: 317.2696 - logits_profile_predictions_loss: 281.5638 - logcount_predictions_loss: 3.3370 138/1106 [==>...........................] - ETA: 2:14 - loss: 317.1738 - logits_profile_predictions_loss: 281.5416 - logcount_predictions_loss: 3.3301 139/1106 [==>...........................] - ETA: 2:14 - loss: 317.0786 - logits_profile_predictions_loss: 281.5191 - logcount_predictions_loss: 3.3233 140/1106 [==>...........................] - ETA: 2:14 - loss: 316.9844 - logits_profile_predictions_loss: 281.4967 - logcount_predictions_loss: 3.3166 141/1106 [==>...........................] - ETA: 2:14 - loss: 316.8898 - logits_profile_predictions_loss: 281.4732 - logcount_predictions_loss: 3.3100 142/1106 [==>...........................] - ETA: 2:13 - loss: 316.7959 - logits_profile_predictions_loss: 281.4496 - logcount_predictions_loss: 3.3034 143/1106 [==>...........................] - ETA: 2:13 - loss: 316.7022 - logits_profile_predictions_loss: 281.4256 - logcount_predictions_loss: 3.2969 144/1106 [==>...........................] - ETA: 2:13 - loss: 316.6091 - logits_profile_predictions_loss: 281.4014 - logcount_predictions_loss: 3.2904 145/1106 [==>...........................] - ETA: 2:13 - loss: 316.5170 - logits_profile_predictions_loss: 281.3774 - logcount_predictions_loss: 3.2841 146/1106 [==>...........................] - ETA: 2:13 - loss: 316.4255 - logits_profile_predictions_loss: 281.3531 - logcount_predictions_loss: 3.2778 147/1106 [==>...........................] - ETA: 2:13 - loss: 316.3354 - logits_profile_predictions_loss: 281.3295 - logcount_predictions_loss: 3.2716 148/1106 [===>..........................] - ETA: 2:13 - loss: 316.2458 - logits_profile_predictions_loss: 281.3058 - logcount_predictions_loss: 3.2654 149/1106 [===>..........................] - ETA: 2:12 - loss: 316.1576 - logits_profile_predictions_loss: 281.2826 - logcount_predictions_loss: 3.2593 150/1106 [===>..........................] - ETA: 2:12 - loss: 316.0684 - logits_profile_predictions_loss: 281.2579 - logcount_predictions_loss: 3.2533 151/1106 [===>..........................] - ETA: 2:12 - loss: 315.9813 - logits_profile_predictions_loss: 281.2344 - logcount_predictions_loss: 3.2474 152/1106 [===>..........................] - ETA: 2:12 - loss: 315.8949 - logits_profile_predictions_loss: 281.2110 - logcount_predictions_loss: 3.2415 153/1106 [===>..........................] - ETA: 2:12 - loss: 315.8099 - logits_profile_predictions_loss: 281.1882 - logcount_predictions_loss: 3.2357 154/1106 [===>..........................] - ETA: 2:12 - loss: 315.7257 - logits_profile_predictions_loss: 281.1654 - logcount_predictions_loss: 3.2299 155/1106 [===>..........................] - ETA: 2:12 - loss: 315.6412 - logits_profile_predictions_loss: 281.1418 - logcount_predictions_loss: 3.2242 156/1106 [===>..........................] - ETA: 2:11 - loss: 315.5567 - logits_profile_predictions_loss: 281.1177 - logcount_predictions_loss: 3.2186 157/1106 [===>..........................] - ETA: 2:11 - loss: 315.4721 - logits_profile_predictions_loss: 281.0929 - logcount_predictions_loss: 3.2130 158/1106 [===>..........................] - ETA: 2:11 - loss: 315.3900 - logits_profile_predictions_loss: 281.0698 - logcount_predictions_loss: 3.2075 159/1106 [===>..........................] - ETA: 2:11 - loss: 315.3081 - logits_profile_predictions_loss: 281.0463 - logcount_predictions_loss: 3.2020 160/1106 [===>..........................] - ETA: 2:11 - loss: 315.2260 - logits_profile_predictions_loss: 281.0222 - logcount_predictions_loss: 3.1966 161/1106 [===>..........................] - ETA: 2:11 - loss: 315.1447 - logits_profile_predictions_loss: 280.9982 - logcount_predictions_loss: 3.1913 162/1106 [===>..........................] - ETA: 2:11 - loss: 315.0639 - logits_profile_predictions_loss: 280.9743 - logcount_predictions_loss: 3.1859 163/1106 [===>..........................] - ETA: 2:10 - loss: 314.9825 - logits_profile_predictions_loss: 280.9492 - logcount_predictions_loss: 3.1807 164/1106 [===>..........................] - ETA: 2:10 - loss: 314.9022 - logits_profile_predictions_loss: 280.9247 - logcount_predictions_loss: 3.1755 165/1106 [===>..........................] - ETA: 2:10 - loss: 314.8226 - logits_profile_predictions_loss: 280.9003 - logcount_predictions_loss: 3.1703 166/1106 [===>..........................] - ETA: 2:10 - loss: 314.7437 - logits_profile_predictions_loss: 280.8759 - logcount_predictions_loss: 3.1652 167/1106 [===>..........................] - ETA: 2:10 - loss: 314.6650 - logits_profile_predictions_loss: 280.8514 - logcount_predictions_loss: 3.1602 168/1106 [===>..........................] - ETA: 2:10 - loss: 314.5864 - logits_profile_predictions_loss: 280.8264 - logcount_predictions_loss: 3.1551 169/1106 [===>..........................] - ETA: 2:10 - loss: 314.5071 - logits_profile_predictions_loss: 280.8005 - logcount_predictions_loss: 3.1501 170/1106 [===>..........................] - ETA: 2:10 - loss: 314.4287 - logits_profile_predictions_loss: 280.7749 - logcount_predictions_loss: 3.1452 171/1106 [===>..........................] - ETA: 2:09 - loss: 314.3527 - logits_profile_predictions_loss: 280.7510 - logcount_predictions_loss: 3.1404 172/1106 [===>..........................] - ETA: 2:09 - loss: 314.2776 - logits_profile_predictions_loss: 280.7273 - logcount_predictions_loss: 3.1355 173/1106 [===>..........................] - ETA: 2:09 - loss: 314.2036 - logits_profile_predictions_loss: 280.7041 - logcount_predictions_loss: 3.1308 174/1106 [===>..........................] - ETA: 2:09 - loss: 314.1314 - logits_profile_predictions_loss: 280.6821 - logcount_predictions_loss: 3.1261 175/1106 [===>..........................] - ETA: 2:09 - loss: 314.0597 - logits_profile_predictions_loss: 280.6600 - logcount_predictions_loss: 3.1215 176/1106 [===>..........................] - ETA: 2:09 - loss: 313.9882 - logits_profile_predictions_loss: 280.6377 - logcount_predictions_loss: 3.1169 177/1106 [===>..........................] - ETA: 2:09 - loss: 313.9162 - logits_profile_predictions_loss: 280.6146 - logcount_predictions_loss: 3.1123 178/1106 [===>..........................] - ETA: 2:08 - loss: 313.8468 - logits_profile_predictions_loss: 280.5933 - logcount_predictions_loss: 3.1078 179/1106 [===>..........................] - ETA: 2:08 - loss: 313.7765 - logits_profile_predictions_loss: 280.5709 - logcount_predictions_loss: 3.1033 180/1106 [===>..........................] - ETA: 2:08 - loss: 313.7073 - logits_profile_predictions_loss: 280.5490 - logcount_predictions_loss: 3.0989 181/1106 [===>..........................] - ETA: 2:08 - loss: 313.6386 - logits_profile_predictions_loss: 280.5272 - logcount_predictions_loss: 3.0945 182/1106 [===>..........................] - ETA: 2:08 - loss: 313.5698 - logits_profile_predictions_loss: 280.5050 - logcount_predictions_loss: 3.0902 183/1106 [===>..........................] - ETA: 2:08 - loss: 313.5011 - logits_profile_predictions_loss: 280.4826 - logcount_predictions_loss: 3.0858 184/1106 [===>..........................] - ETA: 2:08 - loss: 313.4332 - logits_profile_predictions_loss: 280.4604 - logcount_predictions_loss: 3.0816 185/1106 [====>.........................] - ETA: 2:07 - loss: 313.3665 - logits_profile_predictions_loss: 280.4390 - logcount_predictions_loss: 3.0773 186/1106 [====>.........................] - ETA: 2:07 - loss: 313.3003 - logits_profile_predictions_loss: 280.4176 - logcount_predictions_loss: 3.0731 187/1106 [====>.........................] - ETA: 2:17 - loss: 313.2343 - logits_profile_predictions_loss: 280.3961 - logcount_predictions_loss: 3.0690 188/1106 [====>.........................] - ETA: 2:16 - loss: 313.1689 - logits_profile_predictions_loss: 280.3748 - logcount_predictions_loss: 3.0649 189/1106 [====>.........................] - ETA: 2:16 - loss: 313.1050 - logits_profile_predictions_loss: 280.3544 - logcount_predictions_loss: 3.0608 190/1106 [====>.........................] - ETA: 2:16 - loss: 313.0411 - logits_profile_predictions_loss: 280.3336 - logcount_predictions_loss: 3.0568 191/1106 [====>.........................] - ETA: 2:16 - loss: 312.9776 - logits_profile_predictions_loss: 280.3129 - logcount_predictions_loss: 3.0528 192/1106 [====>.........................] - ETA: 2:16 - loss: 312.9145 - logits_profile_predictions_loss: 280.2923 - logcount_predictions_loss: 3.0488 193/1106 [====>.........................] - ETA: 2:15 - loss: 312.8517 - logits_profile_predictions_loss: 280.2716 - logcount_predictions_loss: 3.0449 194/1106 [====>.........................] - ETA: 2:15 - loss: 312.7904 - logits_profile_predictions_loss: 280.2518 - logcount_predictions_loss: 3.0410 195/1106 [====>.........................] - ETA: 2:15 - loss: 312.7294 - logits_profile_predictions_loss: 280.2320 - logcount_predictions_loss: 3.0371 196/1106 [====>.........................] - ETA: 2:15 - loss: 312.6689 - logits_profile_predictions_loss: 280.2124 - logcount_predictions_loss: 3.0333 197/1106 [====>.........................] - ETA: 2:15 - loss: 312.6079 - logits_profile_predictions_loss: 280.1919 - logcount_predictions_loss: 3.0295 198/1106 [====>.........................] - ETA: 2:14 - loss: 312.5472 - logits_profile_predictions_loss: 280.1715 - logcount_predictions_loss: 3.0258 199/1106 [====>.........................] - ETA: 2:14 - loss: 312.4872 - logits_profile_predictions_loss: 280.1514 - logcount_predictions_loss: 3.0220 200/1106 [====>.........................] - ETA: 2:14 - loss: 312.4284 - logits_profile_predictions_loss: 280.1321 - logcount_predictions_loss: 3.0183 201/1106 [====>.........................] - ETA: 2:14 - loss: 312.3694 - logits_profile_predictions_loss: 280.1123 - logcount_predictions_loss: 3.0147 202/1106 [====>.........................] - ETA: 2:14 - loss: 312.3106 - logits_profile_predictions_loss: 280.0925 - logcount_predictions_loss: 3.0110 203/1106 [====>.........................] - ETA: 2:14 - loss: 312.2521 - logits_profile_predictions_loss: 280.0726 - logcount_predictions_loss: 3.0074 204/1106 [====>.........................] - ETA: 2:13 - loss: 312.1941 - logits_profile_predictions_loss: 280.0530 - logcount_predictions_loss: 3.0038 205/1106 [====>.........................] - ETA: 2:13 - loss: 312.1371 - logits_profile_predictions_loss: 280.0339 - logcount_predictions_loss: 3.0003 206/1106 [====>.........................] - ETA: 2:13 - loss: 312.0811 - logits_profile_predictions_loss: 280.0154 - logcount_predictions_loss: 2.9968 207/1106 [====>.........................] - ETA: 2:13 - loss: 312.0253 - logits_profile_predictions_loss: 279.9968 - logcount_predictions_loss: 2.9933 208/1106 [====>.........................] - ETA: 2:13 - loss: 311.9700 - logits_profile_predictions_loss: 279.9785 - logcount_predictions_loss: 2.9899 209/1106 [====>.........................] - ETA: 2:12 - loss: 311.9157 - logits_profile_predictions_loss: 279.9607 - logcount_predictions_loss: 2.9864 210/1106 [====>.........................] - ETA: 2:12 - loss: 311.8617 - logits_profile_predictions_loss: 279.9430 - logcount_predictions_loss: 2.9831 211/1106 [====>.........................] - ETA: 2:12 - loss: 311.8076 - logits_profile_predictions_loss: 279.9249 - logcount_predictions_loss: 2.9797 212/1106 [====>.........................] - ETA: 2:12 - loss: 311.7544 - logits_profile_predictions_loss: 279.9073 - logcount_predictions_loss: 2.9764 213/1106 [====>.........................] - ETA: 2:12 - loss: 311.7019 - logits_profile_predictions_loss: 279.8901 - logcount_predictions_loss: 2.9731 214/1106 [====>.........................] - ETA: 2:11 - loss: 311.6495 - logits_profile_predictions_loss: 279.8726 - logcount_predictions_loss: 2.9698 215/1106 [====>.........................] - ETA: 2:11 - loss: 311.5983 - logits_profile_predictions_loss: 279.8560 - logcount_predictions_loss: 2.9666 216/1106 [====>.........................] - ETA: 2:11 - loss: 311.5481 - logits_profile_predictions_loss: 279.8400 - logcount_predictions_loss: 2.9634 217/1106 [====>.........................] - ETA: 2:11 - loss: 311.4986 - logits_profile_predictions_loss: 279.8243 - logcount_predictions_loss: 2.9602 218/1106 [====>.........................] - ETA: 2:11 - loss: 311.4495 - logits_profile_predictions_loss: 279.8088 - logcount_predictions_loss: 2.9571 219/1106 [====>.........................] - ETA: 2:11 - loss: 311.4010 - logits_profile_predictions_loss: 279.7936 - logcount_predictions_loss: 2.9540 220/1106 [====>.........................] - ETA: 2:10 - loss: 311.3531 - logits_profile_predictions_loss: 279.7786 - logcount_predictions_loss: 2.9509 221/1106 [====>.........................] - ETA: 2:10 - loss: 311.3055 - logits_profile_predictions_loss: 279.7638 - logcount_predictions_loss: 2.9478 222/1106 [=====>........................] - ETA: 2:10 - loss: 311.2587 - logits_profile_predictions_loss: 279.7493 - logcount_predictions_loss: 2.9448 223/1106 [=====>........................] - ETA: 2:10 - loss: 311.2123 - logits_profile_predictions_loss: 279.7351 - logcount_predictions_loss: 2.9418 224/1106 [=====>........................] - ETA: 2:10 - loss: 311.1664 - logits_profile_predictions_loss: 279.7211 - logcount_predictions_loss: 2.9388 225/1106 [=====>........................] - ETA: 2:09 - loss: 311.1205 - logits_profile_predictions_loss: 279.7069 - logcount_predictions_loss: 2.9359 226/1106 [=====>........................] - ETA: 2:09 - loss: 311.0751 - logits_profile_predictions_loss: 279.6928 - logcount_predictions_loss: 2.9329 227/1106 [=====>........................] - ETA: 2:09 - loss: 311.0298 - logits_profile_predictions_loss: 279.6787 - logcount_predictions_loss: 2.9300 228/1106 [=====>........................] - ETA: 2:09 - loss: 310.9857 - logits_profile_predictions_loss: 279.6653 - logcount_predictions_loss: 2.9271 229/1106 [=====>........................] - ETA: 2:09 - loss: 310.9414 - logits_profile_predictions_loss: 279.6517 - logcount_predictions_loss: 2.9243 230/1106 [=====>........................] - ETA: 2:09 - loss: 310.8975 - logits_profile_predictions_loss: 279.6382 - logcount_predictions_loss: 2.9214 231/1106 [=====>........................] - ETA: 2:08 - loss: 310.8536 - logits_profile_predictions_loss: 279.6245 - logcount_predictions_loss: 2.9186 232/1106 [=====>........................] - ETA: 2:08 - loss: 310.8102 - logits_profile_predictions_loss: 279.6110 - logcount_predictions_loss: 2.9158 233/1106 [=====>........................] - ETA: 2:08 - loss: 310.7678 - logits_profile_predictions_loss: 279.5982 - logcount_predictions_loss: 2.9130 234/1106 [=====>........................] - ETA: 2:08 - loss: 310.7260 - logits_profile_predictions_loss: 279.5857 - logcount_predictions_loss: 2.9103 235/1106 [=====>........................] - ETA: 2:08 - loss: 310.6843 - logits_profile_predictions_loss: 279.5732 - logcount_predictions_loss: 2.9076 236/1106 [=====>........................] - ETA: 2:07 - loss: 310.6428 - logits_profile_predictions_loss: 279.5606 - logcount_predictions_loss: 2.9049 237/1106 [=====>........................] - ETA: 2:07 - loss: 310.6017 - logits_profile_predictions_loss: 279.5481 - logcount_predictions_loss: 2.9022 238/1106 [=====>........................] - ETA: 2:07 - loss: 310.5608 - logits_profile_predictions_loss: 279.5357 - logcount_predictions_loss: 2.8995 239/1106 [=====>........................] - ETA: 2:07 - loss: 310.5203 - logits_profile_predictions_loss: 279.5235 - logcount_predictions_loss: 2.8969 240/1106 [=====>........................] - ETA: 2:07 - loss: 310.4803 - logits_profile_predictions_loss: 279.5115 - logcount_predictions_loss: 2.8943 241/1106 [=====>........................] - ETA: 2:07 - loss: 310.4401 - logits_profile_predictions_loss: 279.4992 - logcount_predictions_loss: 2.8917 242/1106 [=====>........................] - ETA: 2:06 - loss: 310.4001 - logits_profile_predictions_loss: 279.4868 - logcount_predictions_loss: 2.8891 243/1106 [=====>........................] - ETA: 2:06 - loss: 310.3603 - logits_profile_predictions_loss: 279.4745 - logcount_predictions_loss: 2.8865 244/1106 [=====>........................] - ETA: 2:06 - loss: 310.3201 - logits_profile_predictions_loss: 279.4617 - logcount_predictions_loss: 2.8840 245/1106 [=====>........................] - ETA: 2:06 - loss: 310.2800 - logits_profile_predictions_loss: 279.4488 - logcount_predictions_loss: 2.8814 246/1106 [=====>........................] - ETA: 2:06 - loss: 310.2398 - logits_profile_predictions_loss: 279.4357 - logcount_predictions_loss: 2.8789 247/1106 [=====>........................] - ETA: 2:06 - loss: 310.1999 - logits_profile_predictions_loss: 279.4227 - logcount_predictions_loss: 2.8764 248/1106 [=====>........................] - ETA: 2:05 - loss: 310.1605 - logits_profile_predictions_loss: 279.4099 - logcount_predictions_loss: 2.8739 249/1106 [=====>........................] - ETA: 2:05 - loss: 310.1216 - logits_profile_predictions_loss: 279.3974 - logcount_predictions_loss: 2.8714 250/1106 [=====>........................] - ETA: 2:05 - loss: 310.0827 - logits_profile_predictions_loss: 279.3849 - logcount_predictions_loss: 2.8690 251/1106 [=====>........................] - ETA: 2:05 - loss: 310.0441 - logits_profile_predictions_loss: 279.3723 - logcount_predictions_loss: 2.8665 252/1106 [=====>........................] - ETA: 2:05 - loss: 310.0062 - logits_profile_predictions_loss: 279.3603 - logcount_predictions_loss: 2.8641 253/1106 [=====>........................] - ETA: 2:05 - loss: 309.9688 - 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[======>.......................] - ETA: 2:03 - loss: 309.7119 - logits_profile_predictions_loss: 279.2666 - logcount_predictions_loss: 2.8453 261/1106 [======>.......................] - ETA: 2:03 - loss: 309.6757 - logits_profile_predictions_loss: 279.2549 - logcount_predictions_loss: 2.8431 262/1106 [======>.......................] - ETA: 2:03 - loss: 309.6395 - logits_profile_predictions_loss: 279.2430 - logcount_predictions_loss: 2.8408 263/1106 [======>.......................] - ETA: 2:03 - loss: 309.6037 - logits_profile_predictions_loss: 279.2312 - logcount_predictions_loss: 2.8385 264/1106 [======>.......................] - ETA: 2:03 - loss: 309.5685 - logits_profile_predictions_loss: 279.2199 - logcount_predictions_loss: 2.8363 265/1106 [======>.......................] - ETA: 2:02 - loss: 309.5343 - logits_profile_predictions_loss: 279.2093 - logcount_predictions_loss: 2.8341 266/1106 [======>.......................] - ETA: 2:02 - loss: 309.5003 - 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[======>.......................] - ETA: 2:01 - loss: 309.2690 - logits_profile_predictions_loss: 279.1270 - logcount_predictions_loss: 2.8170 274/1106 [======>.......................] - ETA: 2:01 - loss: 309.2363 - logits_profile_predictions_loss: 279.1166 - logcount_predictions_loss: 2.8149 275/1106 [======>.......................] - ETA: 2:01 - loss: 309.2043 - logits_profile_predictions_loss: 279.1067 - logcount_predictions_loss: 2.8129 276/1106 [======>.......................] - ETA: 2:01 - loss: 309.1722 - logits_profile_predictions_loss: 279.0966 - logcount_predictions_loss: 2.8108 277/1106 [======>.......................] - ETA: 2:00 - loss: 309.1402 - logits_profile_predictions_loss: 279.0864 - logcount_predictions_loss: 2.8088 278/1106 [======>.......................] - ETA: 2:00 - loss: 309.1086 - logits_profile_predictions_loss: 279.0764 - logcount_predictions_loss: 2.8067 279/1106 [======>.......................] - ETA: 2:00 - loss: 309.0770 - 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[======>.......................] - ETA: 1:59 - loss: 308.8606 - logits_profile_predictions_loss: 278.9971 - logcount_predictions_loss: 2.7910 287/1106 [======>.......................] - ETA: 1:59 - loss: 308.8311 - logits_profile_predictions_loss: 278.9879 - logcount_predictions_loss: 2.7891 288/1106 [======>.......................] - ETA: 1:59 - loss: 308.8018 - logits_profile_predictions_loss: 278.9789 - logcount_predictions_loss: 2.7872 289/1106 [======>.......................] - ETA: 1:58 - loss: 308.7727 - logits_profile_predictions_loss: 278.9699 - logcount_predictions_loss: 2.7853 290/1106 [======>.......................] - ETA: 1:58 - loss: 308.7437 - logits_profile_predictions_loss: 278.9609 - logcount_predictions_loss: 2.7834 291/1106 [======>.......................] - ETA: 1:58 - loss: 308.7148 - logits_profile_predictions_loss: 278.9519 - logcount_predictions_loss: 2.7816 292/1106 [======>.......................] - ETA: 1:58 - loss: 308.6865 - 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[============================>.] - ETA: 1s - loss: 300.2933 - logits_profile_predictions_loss: 275.4700 - logcount_predictions_loss: 2.3199 1099/1106 [============================>.] - ETA: 0s - loss: 300.2869 - logits_profile_predictions_loss: 275.4677 - logcount_predictions_loss: 2.3196 1100/1106 [============================>.] - ETA: 0s - loss: 300.2806 - logits_profile_predictions_loss: 275.4653 - logcount_predictions_loss: 2.3192 1101/1106 [============================>.] - ETA: 0s - loss: 300.2742 - logits_profile_predictions_loss: 275.4630 - logcount_predictions_loss: 2.3188 1102/1106 [============================>.] - ETA: 0s - loss: 300.2679 - logits_profile_predictions_loss: 275.4607 - logcount_predictions_loss: 2.3184 1103/1106 [============================>.] - ETA: 0s - loss: 300.2616 - logits_profile_predictions_loss: 275.4584 - logcount_predictions_loss: 2.3181 1104/1106 [============================>.] - ETA: 0s - loss: 300.2552 - logits_profile_predictions_loss: 275.4561 - logcount_predictions_loss: 2.3177 1105/1106 [============================>.] - ETA: 0s - loss: 300.2489 - logits_profile_predictions_loss: 275.4537 - logcount_predictions_loss: 2.3173 1106/1106 [==============================] - ETA: 0s - loss: 300.2425 - logits_profile_predictions_loss: 275.4514 - logcount_predictions_loss: 2.3169 1106/1106 [==============================] - 169s 148ms/step - loss: 300.2361 - logits_profile_predictions_loss: 275.4491 - logcount_predictions_loss: 2.3165 - val_loss: 282.5418 - val_logits_profile_predictions_loss: 276.7224 - val_logcount_predictions_loss: 0.5439 + +Epoch 00001: val_loss improved from inf to 282.54178, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 2/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 280.5805 - logits_profile_predictions_loss: 275.5795 - logcount_predictions_loss: 0.4674 2/1106 [..............................] - 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logits_profile_predictions_loss: 266.0593 - logcount_predictions_loss: 0.4696 16/1106 [..............................] - ETA: 2:31 - loss: 270.8734 - logits_profile_predictions_loss: 265.8459 - logcount_predictions_loss: 0.4699 17/1106 [..............................] - ETA: 2:31 - loss: 270.7119 - logits_profile_predictions_loss: 265.6851 - logcount_predictions_loss: 0.4698 18/1106 [..............................] - ETA: 2:31 - loss: 270.5602 - logits_profile_predictions_loss: 265.5295 - logcount_predictions_loss: 0.4702 19/1106 [..............................] - ETA: 2:30 - loss: 270.4142 - logits_profile_predictions_loss: 265.3841 - logcount_predictions_loss: 0.4701 20/1106 [..............................] - ETA: 2:30 - loss: 270.3478 - logits_profile_predictions_loss: 265.3217 - logcount_predictions_loss: 0.4697 21/1106 [..............................] - ETA: 2:30 - loss: 270.2689 - logits_profile_predictions_loss: 265.2470 - logcount_predictions_loss: 0.4693 22/1106 [..............................] - ETA: 2:30 - loss: 270.2058 - logits_profile_predictions_loss: 265.1865 - logcount_predictions_loss: 0.4691 23/1106 [..............................] - ETA: 2:30 - loss: 270.1518 - logits_profile_predictions_loss: 265.1348 - logcount_predictions_loss: 0.4689 24/1106 [..............................] - ETA: 2:30 - loss: 270.0980 - logits_profile_predictions_loss: 265.0845 - logcount_predictions_loss: 0.4685 25/1106 [..............................] - ETA: 2:30 - loss: 270.0824 - logits_profile_predictions_loss: 265.0741 - logcount_predictions_loss: 0.4681 26/1106 [..............................] - ETA: 2:30 - loss: 270.0866 - logits_profile_predictions_loss: 265.0852 - logcount_predictions_loss: 0.4674 27/1106 [..............................] - ETA: 2:29 - loss: 270.0953 - logits_profile_predictions_loss: 265.1008 - logcount_predictions_loss: 0.4668 28/1106 [..............................] - ETA: 2:29 - loss: 270.1165 - logits_profile_predictions_loss: 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loss: 270.2016 - logits_profile_predictions_loss: 265.2493 - logcount_predictions_loss: 0.4628 36/1106 [..............................] - ETA: 2:28 - loss: 270.2428 - logits_profile_predictions_loss: 265.2959 - logcount_predictions_loss: 0.4623 37/1106 [>.............................] - ETA: 2:28 - loss: 270.2813 - logits_profile_predictions_loss: 265.3391 - logcount_predictions_loss: 0.4619 38/1106 [>.............................] - ETA: 2:28 - loss: 270.3163 - logits_profile_predictions_loss: 265.3776 - logcount_predictions_loss: 0.4616 39/1106 [>.............................] - ETA: 2:28 - loss: 270.3450 - logits_profile_predictions_loss: 265.4096 - logcount_predictions_loss: 0.4612 40/1106 [>.............................] - ETA: 2:28 - loss: 270.3549 - logits_profile_predictions_loss: 265.4230 - logcount_predictions_loss: 0.4609 41/1106 [>.............................] - ETA: 2:27 - loss: 270.3643 - logits_profile_predictions_loss: 265.4347 - logcount_predictions_loss: 0.4607 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[==>...........................] - ETA: 2:16 - loss: 272.3213 - logits_profile_predictions_loss: 267.4014 - logcount_predictions_loss: 0.4598 122/1106 [==>...........................] - ETA: 2:16 - loss: 272.3493 - logits_profile_predictions_loss: 267.4301 - logcount_predictions_loss: 0.4597 123/1106 [==>...........................] - ETA: 2:16 - loss: 272.3765 - logits_profile_predictions_loss: 267.4580 - logcount_predictions_loss: 0.4597 124/1106 [==>...........................] - ETA: 2:16 - loss: 272.4034 - logits_profile_predictions_loss: 267.4856 - logcount_predictions_loss: 0.4596 125/1106 [==>...........................] - ETA: 2:16 - loss: 272.4283 - logits_profile_predictions_loss: 267.5112 - logcount_predictions_loss: 0.4595 126/1106 [==>...........................] - ETA: 2:16 - loss: 272.4525 - logits_profile_predictions_loss: 267.5362 - logcount_predictions_loss: 0.4595 127/1106 [==>...........................] - ETA: 2:15 - loss: 272.4773 - 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[==>...........................] - ETA: 2:13 - loss: 272.8897 - logits_profile_predictions_loss: 267.9928 - logcount_predictions_loss: 0.4577 148/1106 [===>..........................] - ETA: 2:13 - loss: 272.9081 - logits_profile_predictions_loss: 268.0119 - logcount_predictions_loss: 0.4576 149/1106 [===>..........................] - ETA: 2:12 - loss: 272.9259 - logits_profile_predictions_loss: 268.0305 - logcount_predictions_loss: 0.4575 150/1106 [===>..........................] - ETA: 2:12 - loss: 272.9444 - logits_profile_predictions_loss: 268.0498 - logcount_predictions_loss: 0.4574 151/1106 [===>..........................] - ETA: 2:12 - loss: 272.9635 - logits_profile_predictions_loss: 268.0697 - logcount_predictions_loss: 0.4574 152/1106 [===>..........................] - ETA: 2:12 - loss: 272.9816 - logits_profile_predictions_loss: 268.0885 - logcount_predictions_loss: 0.4573 153/1106 [===>..........................] - ETA: 2:12 - loss: 272.9986 - 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[===>..........................] - ETA: 2:11 - loss: 273.1196 - logits_profile_predictions_loss: 268.2318 - logcount_predictions_loss: 0.4568 161/1106 [===>..........................] - ETA: 2:11 - loss: 273.1371 - logits_profile_predictions_loss: 268.2498 - logcount_predictions_loss: 0.4568 162/1106 [===>..........................] - ETA: 2:11 - loss: 273.1536 - logits_profile_predictions_loss: 268.2670 - logcount_predictions_loss: 0.4567 163/1106 [===>..........................] - ETA: 2:10 - loss: 273.1694 - logits_profile_predictions_loss: 268.2833 - logcount_predictions_loss: 0.4566 164/1106 [===>..........................] - ETA: 2:10 - loss: 273.1855 - logits_profile_predictions_loss: 268.3000 - logcount_predictions_loss: 0.4566 165/1106 [===>..........................] - ETA: 2:10 - loss: 273.2013 - logits_profile_predictions_loss: 268.3164 - logcount_predictions_loss: 0.4565 166/1106 [===>..........................] - ETA: 2:10 - loss: 273.2173 - 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[===>..........................] - ETA: 2:09 - loss: 273.3220 - logits_profile_predictions_loss: 268.4415 - logcount_predictions_loss: 0.4561 174/1106 [===>..........................] - ETA: 2:09 - loss: 273.3357 - logits_profile_predictions_loss: 268.4556 - logcount_predictions_loss: 0.4561 175/1106 [===>..........................] - ETA: 2:09 - loss: 273.3487 - logits_profile_predictions_loss: 268.4690 - logcount_predictions_loss: 0.4560 176/1106 [===>..........................] - ETA: 2:09 - loss: 273.3617 - logits_profile_predictions_loss: 268.4823 - logcount_predictions_loss: 0.4560 177/1106 [===>..........................] - ETA: 2:09 - loss: 273.3736 - logits_profile_predictions_loss: 268.4946 - logcount_predictions_loss: 0.4560 178/1106 [===>..........................] - ETA: 2:08 - loss: 273.3851 - logits_profile_predictions_loss: 268.5065 - logcount_predictions_loss: 0.4559 179/1106 [===>..........................] - ETA: 2:08 - loss: 273.3966 - 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[====>.........................] - ETA: 2:07 - loss: 273.4742 - logits_profile_predictions_loss: 268.5986 - logcount_predictions_loss: 0.4557 187/1106 [====>.........................] - ETA: 2:07 - loss: 273.4857 - logits_profile_predictions_loss: 268.6103 - logcount_predictions_loss: 0.4556 188/1106 [====>.........................] - ETA: 2:07 - loss: 273.4972 - logits_profile_predictions_loss: 268.6222 - logcount_predictions_loss: 0.4556 189/1106 [====>.........................] - ETA: 2:07 - loss: 273.5091 - logits_profile_predictions_loss: 268.6344 - logcount_predictions_loss: 0.4556 190/1106 [====>.........................] - ETA: 2:07 - loss: 273.5209 - logits_profile_predictions_loss: 268.6465 - logcount_predictions_loss: 0.4555 191/1106 [====>.........................] - ETA: 2:07 - loss: 273.5326 - logits_profile_predictions_loss: 268.6586 - logcount_predictions_loss: 0.4555 192/1106 [====>.........................] - ETA: 2:06 - loss: 273.5443 - logits_profile_predictions_loss: 268.6705 - logcount_predictions_loss: 0.4555 193/1106 [====>.........................] - ETA: 2:06 - loss: 273.5563 - logits_profile_predictions_loss: 268.6828 - logcount_predictions_loss: 0.4555 194/1106 [====>.........................] - ETA: 2:06 - loss: 273.5675 - logits_profile_predictions_loss: 268.6943 - logcount_predictions_loss: 0.4554 195/1106 [====>.........................] - ETA: 2:06 - loss: 273.5784 - logits_profile_predictions_loss: 268.7055 - logcount_predictions_loss: 0.4554 196/1106 [====>.........................] - ETA: 2:06 - loss: 273.5888 - logits_profile_predictions_loss: 268.7163 - logcount_predictions_loss: 0.4554 197/1106 [====>.........................] - ETA: 2:06 - loss: 273.5995 - logits_profile_predictions_loss: 268.7273 - logcount_predictions_loss: 0.4553 198/1106 [====>.........................] - ETA: 2:06 - loss: 273.6092 - logits_profile_predictions_loss: 268.7374 - logcount_predictions_loss: 0.4553 199/1106 [====>.........................] - ETA: 2:05 - loss: 273.6189 - logits_profile_predictions_loss: 268.7474 - logcount_predictions_loss: 0.4553 200/1106 [====>.........................] - ETA: 2:05 - loss: 273.6286 - logits_profile_predictions_loss: 268.7574 - logcount_predictions_loss: 0.4552 201/1106 [====>.........................] - ETA: 2:05 - loss: 273.6385 - logits_profile_predictions_loss: 268.7677 - logcount_predictions_loss: 0.4552 202/1106 [====>.........................] - ETA: 2:05 - loss: 273.6484 - logits_profile_predictions_loss: 268.7780 - logcount_predictions_loss: 0.4552 203/1106 [====>.........................] - ETA: 2:05 - loss: 273.6576 - logits_profile_predictions_loss: 268.7876 - logcount_predictions_loss: 0.4551 204/1106 [====>.........................] - ETA: 2:05 - loss: 273.6672 - logits_profile_predictions_loss: 268.7976 - logcount_predictions_loss: 0.4551 205/1106 [====>.........................] - ETA: 2:05 - loss: 273.6761 - logits_profile_predictions_loss: 268.8069 - logcount_predictions_loss: 0.4551 206/1106 [====>.........................] - ETA: 2:05 - loss: 273.6846 - logits_profile_predictions_loss: 268.8159 - logcount_predictions_loss: 0.4550 207/1106 [====>.........................] - ETA: 2:04 - loss: 273.6934 - logits_profile_predictions_loss: 268.8251 - logcount_predictions_loss: 0.4550 208/1106 [====>.........................] - ETA: 2:04 - loss: 273.7015 - logits_profile_predictions_loss: 268.8337 - logcount_predictions_loss: 0.4549 209/1106 [====>.........................] - ETA: 2:04 - loss: 273.7097 - logits_profile_predictions_loss: 268.8423 - logcount_predictions_loss: 0.4549 210/1106 [====>.........................] - ETA: 2:04 - loss: 273.7177 - logits_profile_predictions_loss: 268.8508 - logcount_predictions_loss: 0.4549 211/1106 [====>.........................] - ETA: 2:04 - loss: 273.7254 - logits_profile_predictions_loss: 268.8588 - logcount_predictions_loss: 0.4548 212/1106 [====>.........................] - ETA: 2:04 - loss: 273.7333 - logits_profile_predictions_loss: 268.8672 - logcount_predictions_loss: 0.4548 213/1106 [====>.........................] - ETA: 2:04 - loss: 273.7414 - logits_profile_predictions_loss: 268.8757 - logcount_predictions_loss: 0.4547 214/1106 [====>.........................] - ETA: 2:03 - loss: 273.7496 - logits_profile_predictions_loss: 268.8843 - logcount_predictions_loss: 0.4547 215/1106 [====>.........................] - ETA: 2:03 - loss: 273.7575 - logits_profile_predictions_loss: 268.8927 - logcount_predictions_loss: 0.4547 216/1106 [====>.........................] - ETA: 2:03 - loss: 273.7655 - logits_profile_predictions_loss: 268.9012 - logcount_predictions_loss: 0.4546 217/1106 [====>.........................] - ETA: 2:03 - loss: 273.7732 - logits_profile_predictions_loss: 268.9093 - logcount_predictions_loss: 0.4546 218/1106 [====>.........................] - ETA: 2:03 - loss: 273.7803 - logits_profile_predictions_loss: 268.9169 - logcount_predictions_loss: 0.4545 219/1106 [====>.........................] - ETA: 2:03 - loss: 273.7878 - logits_profile_predictions_loss: 268.9248 - logcount_predictions_loss: 0.4545 220/1106 [====>.........................] - ETA: 2:03 - loss: 273.7954 - logits_profile_predictions_loss: 268.9330 - logcount_predictions_loss: 0.4544 221/1106 [====>.........................] - ETA: 2:02 - loss: 273.8031 - logits_profile_predictions_loss: 268.9411 - logcount_predictions_loss: 0.4544 222/1106 [=====>........................] - ETA: 2:02 - loss: 273.8108 - logits_profile_predictions_loss: 268.9493 - logcount_predictions_loss: 0.4543 223/1106 [=====>........................] - ETA: 2:02 - loss: 273.8185 - logits_profile_predictions_loss: 268.9575 - logcount_predictions_loss: 0.4543 224/1106 [=====>........................] - ETA: 2:02 - loss: 273.8256 - logits_profile_predictions_loss: 268.9651 - logcount_predictions_loss: 0.4542 225/1106 [=====>........................] - ETA: 2:02 - loss: 273.8325 - logits_profile_predictions_loss: 268.9725 - logcount_predictions_loss: 0.4542 226/1106 [=====>........................] - ETA: 2:02 - loss: 273.8398 - logits_profile_predictions_loss: 268.9804 - logcount_predictions_loss: 0.4542 227/1106 [=====>........................] - ETA: 2:02 - loss: 273.8465 - logits_profile_predictions_loss: 268.9876 - logcount_predictions_loss: 0.4541 228/1106 [=====>........................] - ETA: 2:01 - loss: 273.8526 - logits_profile_predictions_loss: 268.9942 - logcount_predictions_loss: 0.4541 229/1106 [=====>........................] - ETA: 2:01 - loss: 273.8589 - logits_profile_predictions_loss: 269.0009 - logcount_predictions_loss: 0.4540 230/1106 [=====>........................] - ETA: 2:01 - loss: 273.8653 - logits_profile_predictions_loss: 269.0078 - logcount_predictions_loss: 0.4540 231/1106 [=====>........................] - ETA: 2:01 - loss: 273.8714 - logits_profile_predictions_loss: 269.0143 - logcount_predictions_loss: 0.4539 232/1106 [=====>........................] - ETA: 2:01 - loss: 273.8775 - logits_profile_predictions_loss: 269.0210 - logcount_predictions_loss: 0.4539 233/1106 [=====>........................] - ETA: 2:01 - loss: 273.8837 - logits_profile_predictions_loss: 269.0277 - logcount_predictions_loss: 0.4538 234/1106 [=====>........................] - ETA: 2:01 - loss: 273.8897 - logits_profile_predictions_loss: 269.0342 - logcount_predictions_loss: 0.4538 235/1106 [=====>........................] - ETA: 2:00 - loss: 273.8957 - logits_profile_predictions_loss: 269.0407 - logcount_predictions_loss: 0.4537 236/1106 [=====>........................] - ETA: 2:00 - loss: 273.9021 - logits_profile_predictions_loss: 269.0476 - logcount_predictions_loss: 0.4537 237/1106 [=====>........................] - ETA: 2:00 - loss: 273.9081 - logits_profile_predictions_loss: 269.0542 - logcount_predictions_loss: 0.4536 238/1106 [=====>........................] - ETA: 2:00 - loss: 273.9145 - logits_profile_predictions_loss: 269.0611 - logcount_predictions_loss: 0.4536 239/1106 [=====>........................] - ETA: 2:00 - loss: 273.9208 - logits_profile_predictions_loss: 269.0679 - logcount_predictions_loss: 0.4535 240/1106 [=====>........................] - ETA: 2:00 - loss: 273.9270 - logits_profile_predictions_loss: 269.0746 - logcount_predictions_loss: 0.4535 241/1106 [=====>........................] - ETA: 2:00 - loss: 273.9332 - logits_profile_predictions_loss: 269.0813 - logcount_predictions_loss: 0.4534 242/1106 [=====>........................] - ETA: 2:00 - loss: 273.9394 - logits_profile_predictions_loss: 269.0880 - logcount_predictions_loss: 0.4534 243/1106 [=====>........................] - ETA: 1:59 - loss: 273.9448 - logits_profile_predictions_loss: 269.0939 - logcount_predictions_loss: 0.4533 244/1106 [=====>........................] - ETA: 1:59 - loss: 273.9502 - logits_profile_predictions_loss: 269.0998 - logcount_predictions_loss: 0.4533 245/1106 [=====>........................] - ETA: 1:59 - loss: 273.9557 - logits_profile_predictions_loss: 269.1058 - logcount_predictions_loss: 0.4533 246/1106 [=====>........................] - ETA: 1:59 - loss: 273.9611 - logits_profile_predictions_loss: 269.1117 - logcount_predictions_loss: 0.4532 247/1106 [=====>........................] - ETA: 1:59 - loss: 273.9666 - logits_profile_predictions_loss: 269.1176 - logcount_predictions_loss: 0.4532 248/1106 [=====>........................] - ETA: 1:59 - loss: 273.9725 - logits_profile_predictions_loss: 269.1240 - logcount_predictions_loss: 0.4531 249/1106 [=====>........................] - ETA: 1:59 - loss: 273.9782 - logits_profile_predictions_loss: 269.1301 - logcount_predictions_loss: 0.4531 250/1106 [=====>........................] - ETA: 1:58 - loss: 273.9837 - logits_profile_predictions_loss: 269.1362 - logcount_predictions_loss: 0.4530 251/1106 [=====>........................] - ETA: 1:58 - loss: 273.9889 - logits_profile_predictions_loss: 269.1418 - logcount_predictions_loss: 0.4530 252/1106 [=====>........................] - ETA: 1:58 - loss: 273.9939 - logits_profile_predictions_loss: 269.1473 - logcount_predictions_loss: 0.4530 253/1106 [=====>........................] - ETA: 1:58 - loss: 273.9990 - logits_profile_predictions_loss: 269.1528 - logcount_predictions_loss: 0.4529 254/1106 [=====>........................] - ETA: 1:58 - loss: 274.0038 - logits_profile_predictions_loss: 269.1580 - logcount_predictions_loss: 0.4529 255/1106 [=====>........................] - ETA: 1:58 - loss: 274.0088 - logits_profile_predictions_loss: 269.1634 - logcount_predictions_loss: 0.4528 256/1106 [=====>........................] - ETA: 1:58 - loss: 274.0135 - logits_profile_predictions_loss: 269.1686 - logcount_predictions_loss: 0.4528 257/1106 [=====>........................] - ETA: 1:57 - loss: 274.0178 - logits_profile_predictions_loss: 269.1733 - logcount_predictions_loss: 0.4528 258/1106 [=====>........................] - ETA: 1:57 - loss: 274.0223 - logits_profile_predictions_loss: 269.1782 - logcount_predictions_loss: 0.4527 259/1106 [======>.......................] - ETA: 1:57 - loss: 274.0270 - logits_profile_predictions_loss: 269.1833 - logcount_predictions_loss: 0.4527 260/1106 [======>.......................] - ETA: 1:57 - loss: 274.0315 - logits_profile_predictions_loss: 269.1882 - logcount_predictions_loss: 0.4526 261/1106 [======>.......................] - ETA: 1:57 - loss: 274.0362 - logits_profile_predictions_loss: 269.1933 - logcount_predictions_loss: 0.4526 262/1106 [======>.......................] - ETA: 1:57 - loss: 274.0408 - logits_profile_predictions_loss: 269.1983 - logcount_predictions_loss: 0.4526 263/1106 [======>.......................] - ETA: 1:57 - loss: 274.0451 - logits_profile_predictions_loss: 269.2030 - logcount_predictions_loss: 0.4525 264/1106 [======>.......................] - ETA: 1:56 - loss: 274.0492 - logits_profile_predictions_loss: 269.2074 - logcount_predictions_loss: 0.4525 265/1106 [======>.......................] - ETA: 1:56 - loss: 274.0531 - logits_profile_predictions_loss: 269.2118 - logcount_predictions_loss: 0.4525 266/1106 [======>.......................] - ETA: 1:56 - loss: 274.0571 - logits_profile_predictions_loss: 269.2161 - logcount_predictions_loss: 0.4524 267/1106 [======>.......................] - ETA: 1:56 - loss: 274.0608 - logits_profile_predictions_loss: 269.2202 - logcount_predictions_loss: 0.4524 268/1106 [======>.......................] - ETA: 1:56 - loss: 274.0642 - logits_profile_predictions_loss: 269.2241 - logcount_predictions_loss: 0.4524 269/1106 [======>.......................] - ETA: 1:56 - loss: 274.0676 - logits_profile_predictions_loss: 269.2278 - logcount_predictions_loss: 0.4523 270/1106 [======>.......................] - ETA: 1:56 - loss: 274.0711 - 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[======>.......................] - ETA: 1:55 - loss: 274.0987 - logits_profile_predictions_loss: 269.2618 - logcount_predictions_loss: 0.4520 278/1106 [======>.......................] - ETA: 1:55 - loss: 274.1025 - logits_profile_predictions_loss: 269.2660 - logcount_predictions_loss: 0.4520 279/1106 [======>.......................] - ETA: 1:54 - loss: 274.1062 - logits_profile_predictions_loss: 269.2701 - logcount_predictions_loss: 0.4520 280/1106 [======>.......................] - ETA: 1:54 - loss: 274.1102 - logits_profile_predictions_loss: 269.2744 - logcount_predictions_loss: 0.4519 281/1106 [======>.......................] - ETA: 1:54 - loss: 274.1143 - logits_profile_predictions_loss: 269.2788 - logcount_predictions_loss: 0.4519 282/1106 [======>.......................] - ETA: 1:54 - loss: 274.1178 - logits_profile_predictions_loss: 269.2827 - logcount_predictions_loss: 0.4519 283/1106 [======>.......................] - ETA: 1:54 - loss: 274.1213 - 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[======>.......................] - ETA: 1:53 - loss: 274.1455 - logits_profile_predictions_loss: 269.3131 - logcount_predictions_loss: 0.4516 291/1106 [======>.......................] - ETA: 1:53 - loss: 274.1499 - logits_profile_predictions_loss: 269.3177 - logcount_predictions_loss: 0.4516 292/1106 [======>.......................] - ETA: 1:53 - loss: 274.1542 - logits_profile_predictions_loss: 269.3224 - logcount_predictions_loss: 0.4516 293/1106 [======>.......................] - ETA: 1:52 - loss: 274.1587 - logits_profile_predictions_loss: 269.3272 - logcount_predictions_loss: 0.4515 294/1106 [======>.......................] - ETA: 1:52 - loss: 274.1633 - logits_profile_predictions_loss: 269.3321 - logcount_predictions_loss: 0.4515 295/1106 [=======>......................] - ETA: 1:52 - loss: 274.1677 - logits_profile_predictions_loss: 269.3369 - logcount_predictions_loss: 0.4515 296/1106 [=======>......................] - ETA: 1:52 - loss: 274.1723 - 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[=======>......................] - ETA: 1:51 - loss: 274.2048 - logits_profile_predictions_loss: 269.3765 - logcount_predictions_loss: 0.4512 304/1106 [=======>......................] - ETA: 1:51 - loss: 274.2093 - logits_profile_predictions_loss: 269.3815 - logcount_predictions_loss: 0.4512 305/1106 [=======>......................] - ETA: 1:51 - loss: 274.2139 - logits_profile_predictions_loss: 269.3864 - logcount_predictions_loss: 0.4512 306/1106 [=======>......................] - ETA: 1:51 - loss: 274.2184 - logits_profile_predictions_loss: 269.3912 - logcount_predictions_loss: 0.4511 307/1106 [=======>......................] - ETA: 1:50 - loss: 274.2227 - logits_profile_predictions_loss: 269.3959 - logcount_predictions_loss: 0.4511 308/1106 [=======>......................] - ETA: 1:50 - loss: 274.2267 - logits_profile_predictions_loss: 269.4003 - logcount_predictions_loss: 0.4511 309/1106 [=======>......................] - ETA: 1:50 - loss: 274.2307 - 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[============================>.] - ETA: 0s - loss: 273.9120 - logits_profile_predictions_loss: 269.3508 - logcount_predictions_loss: 0.4263 1103/1106 [============================>.] - ETA: 0s - loss: 273.9109 - logits_profile_predictions_loss: 269.3499 - logcount_predictions_loss: 0.4263 1104/1106 [============================>.] - ETA: 0s - loss: 273.9097 - logits_profile_predictions_loss: 269.3490 - logcount_predictions_loss: 0.4262 1105/1106 [============================>.] - ETA: 0s - loss: 273.9085 - logits_profile_predictions_loss: 269.3480 - logcount_predictions_loss: 0.4262 1106/1106 [==============================] - ETA: 0s - loss: 273.9073 - logits_profile_predictions_loss: 269.3471 - logcount_predictions_loss: 0.4262 1106/1106 [==============================] - 160s 145ms/step - loss: 273.9061 - logits_profile_predictions_loss: 269.3461 - logcount_predictions_loss: 0.4262 - val_loss: 277.1832 - val_logits_profile_predictions_loss: 273.1443 - val_logcount_predictions_loss: 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ETA: 2:32 - loss: 258.1021 - logits_profile_predictions_loss: 254.4652 - logcount_predictions_loss: 0.3399 7/1106 [..............................] - ETA: 2:32 - loss: 259.3863 - logits_profile_predictions_loss: 255.7186 - logcount_predictions_loss: 0.3428 8/1106 [..............................] - ETA: 2:32 - loss: 260.4013 - logits_profile_predictions_loss: 256.7113 - logcount_predictions_loss: 0.3449 9/1106 [..............................] - ETA: 2:32 - loss: 261.4605 - logits_profile_predictions_loss: 257.7458 - logcount_predictions_loss: 0.3472 10/1106 [..............................] - ETA: 2:32 - loss: 262.0506 - logits_profile_predictions_loss: 258.3109 - logcount_predictions_loss: 0.3495 11/1106 [..............................] - ETA: 2:32 - loss: 262.6626 - logits_profile_predictions_loss: 258.9040 - logcount_predictions_loss: 0.3513 12/1106 [..............................] - ETA: 2:31 - loss: 263.2140 - logits_profile_predictions_loss: 259.4357 - logcount_predictions_loss: 0.3531 13/1106 [..............................] - ETA: 2:31 - loss: 263.6773 - logits_profile_predictions_loss: 259.8826 - logcount_predictions_loss: 0.3546 14/1106 [..............................] - ETA: 2:31 - loss: 264.1323 - logits_profile_predictions_loss: 260.3282 - logcount_predictions_loss: 0.3555 15/1106 [..............................] - ETA: 2:31 - loss: 264.5582 - logits_profile_predictions_loss: 260.7469 - logcount_predictions_loss: 0.3562 16/1106 [..............................] - ETA: 2:31 - loss: 264.8564 - logits_profile_predictions_loss: 261.0328 - logcount_predictions_loss: 0.3573 17/1106 [..............................] - ETA: 2:31 - loss: 265.0905 - logits_profile_predictions_loss: 261.2532 - logcount_predictions_loss: 0.3586 18/1106 [..............................] - ETA: 2:30 - loss: 265.1871 - logits_profile_predictions_loss: 261.3385 - logcount_predictions_loss: 0.3597 19/1106 [..............................] - ETA: 2:30 - loss: 265.3645 - 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[..............................] - ETA: 2:29 - loss: 266.7401 - logits_profile_predictions_loss: 262.8175 - logcount_predictions_loss: 0.3666 27/1106 [..............................] - ETA: 2:29 - loss: 266.9387 - logits_profile_predictions_loss: 263.0110 - logcount_predictions_loss: 0.3671 28/1106 [..............................] - ETA: 2:29 - loss: 267.0821 - logits_profile_predictions_loss: 263.1520 - logcount_predictions_loss: 0.3673 29/1106 [..............................] - ETA: 2:29 - loss: 267.2130 - logits_profile_predictions_loss: 263.2807 - logcount_predictions_loss: 0.3675 30/1106 [..............................] - ETA: 2:29 - loss: 267.3718 - logits_profile_predictions_loss: 263.4383 - logcount_predictions_loss: 0.3676 31/1106 [..............................] - ETA: 2:29 - loss: 267.4923 - logits_profile_predictions_loss: 263.5576 - logcount_predictions_loss: 0.3677 32/1106 [..............................] - ETA: 2:28 - loss: 267.6112 - logits_profile_predictions_loss: 263.6748 - logcount_predictions_loss: 0.3679 33/1106 [..............................] - ETA: 2:28 - loss: 267.7193 - logits_profile_predictions_loss: 263.7817 - logcount_predictions_loss: 0.3680 34/1106 [..............................] - ETA: 2:28 - loss: 267.8175 - logits_profile_predictions_loss: 263.8786 - logcount_predictions_loss: 0.3681 35/1106 [..............................] - ETA: 2:28 - loss: 267.8989 - logits_profile_predictions_loss: 263.9587 - logcount_predictions_loss: 0.3682 36/1106 [..............................] - ETA: 2:28 - loss: 267.9850 - logits_profile_predictions_loss: 264.0444 - logcount_predictions_loss: 0.3683 37/1106 [>.............................] - ETA: 2:28 - loss: 268.0762 - logits_profile_predictions_loss: 264.1358 - logcount_predictions_loss: 0.3683 38/1106 [>.............................] - ETA: 2:28 - loss: 268.1547 - logits_profile_predictions_loss: 264.2154 - logcount_predictions_loss: 0.3682 39/1106 [>.............................] - ETA: 2:27 - 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46/1106 [>.............................] - ETA: 2:26 - loss: 268.6981 - logits_profile_predictions_loss: 264.7610 - logcount_predictions_loss: 0.3680 47/1106 [>.............................] - ETA: 2:26 - loss: 268.7466 - logits_profile_predictions_loss: 264.8087 - logcount_predictions_loss: 0.3680 48/1106 [>.............................] - ETA: 2:26 - loss: 268.8099 - logits_profile_predictions_loss: 264.8712 - logcount_predictions_loss: 0.3681 49/1106 [>.............................] - ETA: 2:26 - loss: 268.8579 - logits_profile_predictions_loss: 264.9179 - logcount_predictions_loss: 0.3682 50/1106 [>.............................] - ETA: 2:26 - loss: 268.9020 - logits_profile_predictions_loss: 264.9610 - logcount_predictions_loss: 0.3683 51/1106 [>.............................] - ETA: 2:26 - loss: 268.9478 - logits_profile_predictions_loss: 265.0056 - logcount_predictions_loss: 0.3684 52/1106 [>.............................] - ETA: 2:26 - loss: 268.9873 - logits_profile_predictions_loss: 265.0437 - logcount_predictions_loss: 0.3686 53/1106 [>.............................] - ETA: 2:25 - loss: 269.0158 - logits_profile_predictions_loss: 265.0711 - logcount_predictions_loss: 0.3687 54/1106 [>.............................] - ETA: 2:26 - loss: 269.0447 - logits_profile_predictions_loss: 265.0990 - logcount_predictions_loss: 0.3688 55/1106 [>.............................] - ETA: 2:26 - loss: 269.0798 - logits_profile_predictions_loss: 265.1330 - logcount_predictions_loss: 0.3689 56/1106 [>.............................] - ETA: 2:25 - loss: 269.1114 - logits_profile_predictions_loss: 265.1638 - logcount_predictions_loss: 0.3689 57/1106 [>.............................] - ETA: 2:25 - loss: 269.1444 - logits_profile_predictions_loss: 265.1961 - logcount_predictions_loss: 0.3690 58/1106 [>.............................] - ETA: 2:25 - loss: 269.1727 - logits_profile_predictions_loss: 265.2240 - logcount_predictions_loss: 0.3690 59/1106 [>.............................] - ETA: 2:25 - loss: 269.2083 - logits_profile_predictions_loss: 265.2596 - logcount_predictions_loss: 0.3690 60/1106 [>.............................] - ETA: 2:25 - loss: 269.2427 - logits_profile_predictions_loss: 265.2938 - logcount_predictions_loss: 0.3691 61/1106 [>.............................] - ETA: 2:25 - loss: 269.2721 - logits_profile_predictions_loss: 265.3232 - logcount_predictions_loss: 0.3691 62/1106 [>.............................] - ETA: 2:25 - loss: 269.3027 - logits_profile_predictions_loss: 265.3541 - logcount_predictions_loss: 0.3690 63/1106 [>.............................] - ETA: 2:24 - loss: 269.3335 - logits_profile_predictions_loss: 265.3853 - logcount_predictions_loss: 0.3690 64/1106 [>.............................] - ETA: 2:24 - loss: 269.3675 - logits_profile_predictions_loss: 265.4198 - logcount_predictions_loss: 0.3689 65/1106 [>.............................] - ETA: 2:24 - loss: 269.3987 - logits_profile_predictions_loss: 265.4514 - logcount_predictions_loss: 0.3689 66/1106 [>.............................] - ETA: 2:24 - loss: 269.4264 - logits_profile_predictions_loss: 265.4799 - logcount_predictions_loss: 0.3688 67/1106 [>.............................] - ETA: 2:24 - loss: 269.4569 - logits_profile_predictions_loss: 265.5113 - logcount_predictions_loss: 0.3688 68/1106 [>.............................] - ETA: 2:24 - loss: 269.4863 - logits_profile_predictions_loss: 265.5416 - logcount_predictions_loss: 0.3687 69/1106 [>.............................] - ETA: 2:24 - loss: 269.5188 - logits_profile_predictions_loss: 265.5750 - logcount_predictions_loss: 0.3686 70/1106 [>.............................] - ETA: 2:23 - loss: 269.5529 - logits_profile_predictions_loss: 265.6100 - logcount_predictions_loss: 0.3685 71/1106 [>.............................] - ETA: 2:23 - loss: 269.5878 - logits_profile_predictions_loss: 265.6458 - logcount_predictions_loss: 0.3684 72/1106 [>.............................] - ETA: 2:23 - loss: 269.6202 - logits_profile_predictions_loss: 265.6792 - logcount_predictions_loss: 0.3683 73/1106 [>.............................] - ETA: 2:23 - loss: 269.6488 - logits_profile_predictions_loss: 265.7086 - logcount_predictions_loss: 0.3683 74/1106 [=>............................] - ETA: 2:23 - loss: 269.6807 - logits_profile_predictions_loss: 265.7411 - logcount_predictions_loss: 0.3682 75/1106 [=>............................] - ETA: 2:23 - loss: 269.7060 - logits_profile_predictions_loss: 265.7671 - logcount_predictions_loss: 0.3681 76/1106 [=>............................] - ETA: 2:23 - loss: 269.7327 - logits_profile_predictions_loss: 265.7948 - logcount_predictions_loss: 0.3680 77/1106 [=>............................] - ETA: 2:22 - loss: 269.7550 - logits_profile_predictions_loss: 265.8180 - logcount_predictions_loss: 0.3679 78/1106 [=>............................] - ETA: 2:22 - loss: 269.7737 - logits_profile_predictions_loss: 265.8377 - logcount_predictions_loss: 0.3679 79/1106 [=>............................] - ETA: 2:22 - loss: 269.7939 - logits_profile_predictions_loss: 265.8589 - logcount_predictions_loss: 0.3678 80/1106 [=>............................] - ETA: 2:22 - loss: 269.8140 - logits_profile_predictions_loss: 265.8799 - logcount_predictions_loss: 0.3677 81/1106 [=>............................] - ETA: 2:22 - loss: 269.8317 - logits_profile_predictions_loss: 265.8987 - logcount_predictions_loss: 0.3676 82/1106 [=>............................] - ETA: 2:22 - loss: 269.8512 - logits_profile_predictions_loss: 265.9191 - logcount_predictions_loss: 0.3675 83/1106 [=>............................] - ETA: 2:22 - loss: 269.8668 - logits_profile_predictions_loss: 265.9356 - logcount_predictions_loss: 0.3674 84/1106 [=>............................] - ETA: 2:21 - loss: 269.8794 - logits_profile_predictions_loss: 265.9493 - logcount_predictions_loss: 0.3673 85/1106 [=>............................] - ETA: 2:21 - loss: 269.8879 - logits_profile_predictions_loss: 265.9589 - logcount_predictions_loss: 0.3672 86/1106 [=>............................] - ETA: 2:21 - loss: 269.8971 - logits_profile_predictions_loss: 265.9692 - logcount_predictions_loss: 0.3671 87/1106 [=>............................] - ETA: 2:21 - loss: 269.9042 - logits_profile_predictions_loss: 265.9774 - logcount_predictions_loss: 0.3670 88/1106 [=>............................] - ETA: 2:21 - loss: 269.9117 - logits_profile_predictions_loss: 265.9859 - logcount_predictions_loss: 0.3669 89/1106 [=>............................] - ETA: 2:21 - loss: 269.9188 - logits_profile_predictions_loss: 265.9940 - logcount_predictions_loss: 0.3668 90/1106 [=>............................] - ETA: 2:21 - loss: 269.9274 - logits_profile_predictions_loss: 266.0036 - logcount_predictions_loss: 0.3667 91/1106 [=>............................] - ETA: 2:20 - loss: 269.9372 - logits_profile_predictions_loss: 266.0145 - logcount_predictions_loss: 0.3666 92/1106 [=>............................] - ETA: 2:20 - loss: 269.9449 - logits_profile_predictions_loss: 266.0234 - logcount_predictions_loss: 0.3665 93/1106 [=>............................] - ETA: 2:20 - loss: 269.9526 - logits_profile_predictions_loss: 266.0321 - logcount_predictions_loss: 0.3664 94/1106 [=>............................] - ETA: 2:20 - loss: 269.9595 - logits_profile_predictions_loss: 266.0401 - logcount_predictions_loss: 0.3663 95/1106 [=>............................] - ETA: 2:20 - loss: 269.9684 - logits_profile_predictions_loss: 266.0499 - logcount_predictions_loss: 0.3662 96/1106 [=>............................] - ETA: 2:20 - loss: 269.9767 - logits_profile_predictions_loss: 266.0591 - logcount_predictions_loss: 0.3661 97/1106 [=>............................] - ETA: 2:20 - loss: 269.9855 - logits_profile_predictions_loss: 266.0687 - logcount_predictions_loss: 0.3661 98/1106 [=>............................] - ETA: 2:19 - loss: 269.9961 - logits_profile_predictions_loss: 266.0802 - logcount_predictions_loss: 0.3660 99/1106 [=>............................] - ETA: 2:19 - loss: 270.0102 - logits_profile_predictions_loss: 266.0952 - logcount_predictions_loss: 0.3659 100/1106 [=>............................] - ETA: 2:19 - loss: 270.0239 - logits_profile_predictions_loss: 266.1098 - logcount_predictions_loss: 0.3658 101/1106 [=>............................] - ETA: 2:19 - loss: 270.0371 - logits_profile_predictions_loss: 266.1239 - logcount_predictions_loss: 0.3657 102/1106 [=>............................] - ETA: 2:19 - loss: 270.0532 - logits_profile_predictions_loss: 266.1410 - logcount_predictions_loss: 0.3656 103/1106 [=>............................] - ETA: 2:19 - loss: 270.0724 - logits_profile_predictions_loss: 266.1611 - logcount_predictions_loss: 0.3655 104/1106 [=>............................] - ETA: 2:19 - loss: 270.0899 - logits_profile_predictions_loss: 266.1795 - logcount_predictions_loss: 0.3655 105/1106 [=>............................] - ETA: 2:18 - loss: 270.1098 - logits_profile_predictions_loss: 266.2004 - logcount_predictions_loss: 0.3654 106/1106 [=>............................] - ETA: 2:18 - loss: 270.1299 - logits_profile_predictions_loss: 266.2214 - logcount_predictions_loss: 0.3653 107/1106 [=>............................] - ETA: 2:18 - loss: 270.1488 - logits_profile_predictions_loss: 266.2411 - logcount_predictions_loss: 0.3652 108/1106 [=>............................] - ETA: 2:18 - loss: 270.1672 - logits_profile_predictions_loss: 266.2605 - logcount_predictions_loss: 0.3651 109/1106 [=>............................] - ETA: 2:18 - loss: 270.1840 - logits_profile_predictions_loss: 266.2781 - logcount_predictions_loss: 0.3650 110/1106 [=>............................] - ETA: 2:18 - loss: 270.1994 - logits_profile_predictions_loss: 266.2943 - logcount_predictions_loss: 0.3650 111/1106 [==>...........................] - ETA: 2:18 - loss: 270.2131 - logits_profile_predictions_loss: 266.3090 - logcount_predictions_loss: 0.3649 112/1106 [==>...........................] - ETA: 2:17 - loss: 270.2275 - logits_profile_predictions_loss: 266.3243 - logcount_predictions_loss: 0.3648 113/1106 [==>...........................] - ETA: 2:17 - loss: 270.2424 - logits_profile_predictions_loss: 266.3402 - logcount_predictions_loss: 0.3647 114/1106 [==>...........................] - ETA: 2:17 - loss: 270.2527 - logits_profile_predictions_loss: 266.3515 - logcount_predictions_loss: 0.3646 115/1106 [==>...........................] - ETA: 2:17 - loss: 270.2617 - logits_profile_predictions_loss: 266.3615 - logcount_predictions_loss: 0.3645 116/1106 [==>...........................] - ETA: 2:17 - loss: 270.2720 - logits_profile_predictions_loss: 266.3728 - logcount_predictions_loss: 0.3644 117/1106 [==>...........................] - ETA: 2:17 - loss: 270.2808 - logits_profile_predictions_loss: 266.3825 - logcount_predictions_loss: 0.3643 118/1106 [==>...........................] - ETA: 2:17 - loss: 270.2875 - logits_profile_predictions_loss: 266.3901 - logcount_predictions_loss: 0.3642 119/1106 [==>...........................] - ETA: 2:16 - loss: 270.2950 - logits_profile_predictions_loss: 266.3986 - logcount_predictions_loss: 0.3642 120/1106 [==>...........................] - ETA: 2:16 - loss: 270.3029 - logits_profile_predictions_loss: 266.4074 - logcount_predictions_loss: 0.3641 121/1106 [==>...........................] - ETA: 2:16 - loss: 270.3108 - logits_profile_predictions_loss: 266.4162 - logcount_predictions_loss: 0.3640 122/1106 [==>...........................] - ETA: 2:16 - loss: 270.3160 - logits_profile_predictions_loss: 266.4223 - logcount_predictions_loss: 0.3639 123/1106 [==>...........................] - ETA: 2:16 - loss: 270.3206 - logits_profile_predictions_loss: 266.4277 - logcount_predictions_loss: 0.3638 124/1106 [==>...........................] - ETA: 2:16 - loss: 270.3247 - logits_profile_predictions_loss: 266.4327 - logcount_predictions_loss: 0.3637 125/1106 [==>...........................] - ETA: 2:16 - loss: 270.3292 - logits_profile_predictions_loss: 266.4380 - logcount_predictions_loss: 0.3637 126/1106 [==>...........................] - ETA: 2:15 - loss: 270.3334 - logits_profile_predictions_loss: 266.4431 - logcount_predictions_loss: 0.3636 127/1106 [==>...........................] - ETA: 2:15 - loss: 270.3377 - logits_profile_predictions_loss: 266.4483 - logcount_predictions_loss: 0.3635 128/1106 [==>...........................] - ETA: 2:15 - loss: 270.3413 - logits_profile_predictions_loss: 266.4527 - logcount_predictions_loss: 0.3634 129/1106 [==>...........................] - ETA: 2:15 - loss: 270.3455 - logits_profile_predictions_loss: 266.4576 - logcount_predictions_loss: 0.3634 130/1106 [==>...........................] - ETA: 2:15 - loss: 270.3500 - logits_profile_predictions_loss: 266.4629 - logcount_predictions_loss: 0.3633 131/1106 [==>...........................] - ETA: 2:15 - loss: 270.3535 - logits_profile_predictions_loss: 266.4671 - logcount_predictions_loss: 0.3632 132/1106 [==>...........................] - ETA: 2:15 - loss: 270.3563 - logits_profile_predictions_loss: 266.4706 - logcount_predictions_loss: 0.3631 133/1106 [==>...........................] - ETA: 2:15 - loss: 270.3585 - logits_profile_predictions_loss: 266.4736 - logcount_predictions_loss: 0.3631 134/1106 [==>...........................] - ETA: 2:14 - loss: 270.3598 - logits_profile_predictions_loss: 266.4757 - logcount_predictions_loss: 0.3630 135/1106 [==>...........................] - ETA: 2:14 - loss: 270.3608 - logits_profile_predictions_loss: 266.4774 - logcount_predictions_loss: 0.3629 136/1106 [==>...........................] - ETA: 2:14 - loss: 270.3623 - logits_profile_predictions_loss: 266.4796 - logcount_predictions_loss: 0.3629 137/1106 [==>...........................] - ETA: 2:14 - loss: 270.3636 - logits_profile_predictions_loss: 266.4816 - logcount_predictions_loss: 0.3628 138/1106 [==>...........................] - ETA: 2:14 - loss: 270.3647 - logits_profile_predictions_loss: 266.4834 - logcount_predictions_loss: 0.3627 139/1106 [==>...........................] - ETA: 2:14 - loss: 270.3647 - logits_profile_predictions_loss: 266.4841 - logcount_predictions_loss: 0.3627 140/1106 [==>...........................] - ETA: 2:14 - loss: 270.3626 - logits_profile_predictions_loss: 266.4828 - logcount_predictions_loss: 0.3626 141/1106 [==>...........................] - ETA: 2:13 - loss: 270.3617 - logits_profile_predictions_loss: 266.4825 - logcount_predictions_loss: 0.3625 142/1106 [==>...........................] - ETA: 2:13 - loss: 270.3614 - logits_profile_predictions_loss: 266.4828 - logcount_predictions_loss: 0.3625 143/1106 [==>...........................] - ETA: 2:13 - loss: 270.3618 - logits_profile_predictions_loss: 266.4840 - logcount_predictions_loss: 0.3624 144/1106 [==>...........................] - ETA: 2:13 - loss: 270.3630 - logits_profile_predictions_loss: 266.4858 - logcount_predictions_loss: 0.3624 145/1106 [==>...........................] - ETA: 2:13 - loss: 270.3633 - logits_profile_predictions_loss: 266.4867 - logcount_predictions_loss: 0.3623 146/1106 [==>...........................] - ETA: 2:13 - loss: 270.3644 - logits_profile_predictions_loss: 266.4884 - logcount_predictions_loss: 0.3622 147/1106 [==>...........................] - ETA: 2:13 - loss: 270.3651 - logits_profile_predictions_loss: 266.4897 - logcount_predictions_loss: 0.3622 148/1106 [===>..........................] - ETA: 2:12 - loss: 270.3648 - logits_profile_predictions_loss: 266.4900 - logcount_predictions_loss: 0.3621 149/1106 [===>..........................] - ETA: 2:12 - loss: 270.3662 - logits_profile_predictions_loss: 266.4920 - logcount_predictions_loss: 0.3621 150/1106 [===>..........................] - ETA: 2:12 - loss: 270.3674 - logits_profile_predictions_loss: 266.4938 - logcount_predictions_loss: 0.3620 151/1106 [===>..........................] - ETA: 2:12 - loss: 270.3690 - logits_profile_predictions_loss: 266.4959 - logcount_predictions_loss: 0.3620 152/1106 [===>..........................] - ETA: 2:12 - loss: 270.3706 - logits_profile_predictions_loss: 266.4981 - logcount_predictions_loss: 0.3619 153/1106 [===>..........................] - ETA: 2:12 - loss: 270.3720 - logits_profile_predictions_loss: 266.4999 - logcount_predictions_loss: 0.3619 154/1106 [===>..........................] - ETA: 2:12 - loss: 270.3728 - logits_profile_predictions_loss: 266.5011 - logcount_predictions_loss: 0.3618 155/1106 [===>..........................] - ETA: 2:11 - loss: 270.3734 - logits_profile_predictions_loss: 266.5021 - logcount_predictions_loss: 0.3618 156/1106 [===>..........................] - ETA: 2:11 - loss: 270.3740 - logits_profile_predictions_loss: 266.5030 - logcount_predictions_loss: 0.3618 157/1106 [===>..........................] - ETA: 2:11 - loss: 270.3754 - logits_profile_predictions_loss: 266.5048 - logcount_predictions_loss: 0.3617 158/1106 [===>..........................] - ETA: 2:11 - loss: 270.3772 - logits_profile_predictions_loss: 266.5068 - logcount_predictions_loss: 0.3617 159/1106 [===>..........................] - ETA: 2:11 - loss: 270.3791 - logits_profile_predictions_loss: 266.5091 - logcount_predictions_loss: 0.3617 160/1106 [===>..........................] - ETA: 2:11 - loss: 270.3809 - logits_profile_predictions_loss: 266.5112 - logcount_predictions_loss: 0.3617 161/1106 [===>..........................] - ETA: 2:11 - loss: 270.3826 - logits_profile_predictions_loss: 266.5133 - logcount_predictions_loss: 0.3616 162/1106 [===>..........................] - ETA: 2:10 - loss: 270.3845 - logits_profile_predictions_loss: 266.5155 - logcount_predictions_loss: 0.3616 163/1106 [===>..........................] - ETA: 2:10 - loss: 270.3862 - logits_profile_predictions_loss: 266.5175 - logcount_predictions_loss: 0.3616 164/1106 [===>..........................] - ETA: 2:10 - loss: 270.3866 - logits_profile_predictions_loss: 266.5184 - logcount_predictions_loss: 0.3615 165/1106 [===>..........................] - ETA: 2:10 - loss: 270.3869 - logits_profile_predictions_loss: 266.5190 - logcount_predictions_loss: 0.3615 166/1106 [===>..........................] - ETA: 2:10 - loss: 270.3871 - logits_profile_predictions_loss: 266.5196 - logcount_predictions_loss: 0.3615 167/1106 [===>..........................] - ETA: 2:10 - loss: 270.3867 - logits_profile_predictions_loss: 266.5196 - logcount_predictions_loss: 0.3614 168/1106 [===>..........................] - ETA: 2:10 - loss: 270.3860 - logits_profile_predictions_loss: 266.5193 - logcount_predictions_loss: 0.3614 169/1106 [===>..........................] - ETA: 2:10 - loss: 270.3846 - logits_profile_predictions_loss: 266.5182 - logcount_predictions_loss: 0.3613 170/1106 [===>..........................] - ETA: 2:09 - loss: 270.3830 - logits_profile_predictions_loss: 266.5170 - logcount_predictions_loss: 0.3613 171/1106 [===>..........................] - ETA: 2:09 - loss: 270.3805 - logits_profile_predictions_loss: 266.5148 - logcount_predictions_loss: 0.3613 172/1106 [===>..........................] - ETA: 2:09 - loss: 270.3782 - logits_profile_predictions_loss: 266.5129 - logcount_predictions_loss: 0.3612 173/1106 [===>..........................] - ETA: 2:09 - loss: 270.3757 - logits_profile_predictions_loss: 266.5108 - logcount_predictions_loss: 0.3612 174/1106 [===>..........................] - ETA: 2:09 - loss: 270.3730 - logits_profile_predictions_loss: 266.5084 - logcount_predictions_loss: 0.3612 175/1106 [===>..........................] - ETA: 2:09 - loss: 270.3706 - logits_profile_predictions_loss: 266.5062 - logcount_predictions_loss: 0.3612 176/1106 [===>..........................] - ETA: 2:09 - loss: 270.3690 - logits_profile_predictions_loss: 266.5050 - logcount_predictions_loss: 0.3611 177/1106 [===>..........................] - ETA: 2:08 - loss: 270.3679 - logits_profile_predictions_loss: 266.5041 - logcount_predictions_loss: 0.3611 178/1106 [===>..........................] - ETA: 2:08 - loss: 270.3663 - logits_profile_predictions_loss: 266.5028 - logcount_predictions_loss: 0.3611 179/1106 [===>..........................] - ETA: 2:08 - loss: 270.3646 - logits_profile_predictions_loss: 266.5013 - logcount_predictions_loss: 0.3611 180/1106 [===>..........................] - ETA: 2:08 - loss: 270.3636 - logits_profile_predictions_loss: 266.5007 - logcount_predictions_loss: 0.3610 181/1106 [===>..........................] - ETA: 2:08 - loss: 270.3636 - logits_profile_predictions_loss: 266.5009 - logcount_predictions_loss: 0.3610 182/1106 [===>..........................] - ETA: 2:08 - loss: 270.3647 - logits_profile_predictions_loss: 266.5023 - logcount_predictions_loss: 0.3610 183/1106 [===>..........................] - ETA: 2:08 - loss: 270.3656 - logits_profile_predictions_loss: 266.5034 - logcount_predictions_loss: 0.3610 184/1106 [===>..........................] - ETA: 2:07 - loss: 270.3668 - logits_profile_predictions_loss: 266.5048 - logcount_predictions_loss: 0.3609 185/1106 [====>.........................] - ETA: 2:07 - loss: 270.3687 - logits_profile_predictions_loss: 266.5069 - logcount_predictions_loss: 0.3609 186/1106 [====>.........................] - ETA: 2:07 - loss: 270.3704 - logits_profile_predictions_loss: 266.5088 - logcount_predictions_loss: 0.3609 187/1106 [====>.........................] - ETA: 2:07 - loss: 270.3718 - logits_profile_predictions_loss: 266.5105 - logcount_predictions_loss: 0.3609 188/1106 [====>.........................] - ETA: 2:07 - loss: 270.3733 - logits_profile_predictions_loss: 266.5122 - logcount_predictions_loss: 0.3609 189/1106 [====>.........................] - ETA: 2:07 - loss: 270.3747 - logits_profile_predictions_loss: 266.5138 - logcount_predictions_loss: 0.3608 190/1106 [====>.........................] - ETA: 2:07 - loss: 270.3765 - logits_profile_predictions_loss: 266.5158 - logcount_predictions_loss: 0.3608 191/1106 [====>.........................] - ETA: 2:06 - loss: 270.3778 - logits_profile_predictions_loss: 266.5172 - logcount_predictions_loss: 0.3608 192/1106 [====>.........................] - ETA: 2:06 - loss: 270.3791 - logits_profile_predictions_loss: 266.5188 - logcount_predictions_loss: 0.3608 193/1106 [====>.........................] - ETA: 2:06 - loss: 270.3812 - logits_profile_predictions_loss: 266.5210 - logcount_predictions_loss: 0.3608 194/1106 [====>.........................] - ETA: 2:06 - loss: 270.3831 - logits_profile_predictions_loss: 266.5231 - logcount_predictions_loss: 0.3608 195/1106 [====>.........................] - ETA: 2:06 - loss: 270.3852 - logits_profile_predictions_loss: 266.5253 - logcount_predictions_loss: 0.3607 196/1106 [====>.........................] - ETA: 2:06 - loss: 270.3870 - logits_profile_predictions_loss: 266.5273 - logcount_predictions_loss: 0.3607 197/1106 [====>.........................] - ETA: 2:06 - loss: 270.3883 - logits_profile_predictions_loss: 266.5287 - logcount_predictions_loss: 0.3607 198/1106 [====>.........................] - ETA: 2:06 - loss: 270.3891 - logits_profile_predictions_loss: 266.5297 - logcount_predictions_loss: 0.3607 199/1106 [====>.........................] - ETA: 2:05 - loss: 270.3901 - logits_profile_predictions_loss: 266.5309 - logcount_predictions_loss: 0.3607 200/1106 [====>.........................] - ETA: 2:05 - loss: 270.3912 - logits_profile_predictions_loss: 266.5322 - logcount_predictions_loss: 0.3607 201/1106 [====>.........................] - ETA: 2:05 - loss: 270.3924 - logits_profile_predictions_loss: 266.5335 - logcount_predictions_loss: 0.3606 202/1106 [====>.........................] - ETA: 2:05 - loss: 270.3932 - logits_profile_predictions_loss: 266.5345 - logcount_predictions_loss: 0.3606 203/1106 [====>.........................] - ETA: 2:05 - loss: 270.3935 - logits_profile_predictions_loss: 266.5349 - logcount_predictions_loss: 0.3606 204/1106 [====>.........................] - ETA: 2:05 - loss: 270.3944 - logits_profile_predictions_loss: 266.5360 - logcount_predictions_loss: 0.3606 205/1106 [====>.........................] - ETA: 2:05 - loss: 270.3953 - logits_profile_predictions_loss: 266.5371 - logcount_predictions_loss: 0.3606 206/1106 [====>.........................] - ETA: 2:04 - loss: 270.3961 - logits_profile_predictions_loss: 266.5380 - logcount_predictions_loss: 0.3606 207/1106 [====>.........................] - ETA: 2:04 - loss: 270.3970 - logits_profile_predictions_loss: 266.5391 - logcount_predictions_loss: 0.3606 208/1106 [====>.........................] - ETA: 2:04 - loss: 270.3982 - logits_profile_predictions_loss: 266.5405 - logcount_predictions_loss: 0.3605 209/1106 [====>.........................] - ETA: 2:04 - loss: 270.3990 - logits_profile_predictions_loss: 266.5415 - logcount_predictions_loss: 0.3605 210/1106 [====>.........................] - ETA: 2:04 - loss: 270.3999 - logits_profile_predictions_loss: 266.5426 - logcount_predictions_loss: 0.3605 211/1106 [====>.........................] - ETA: 2:04 - loss: 270.4002 - logits_profile_predictions_loss: 266.5430 - logcount_predictions_loss: 0.3605 212/1106 [====>.........................] - ETA: 2:04 - loss: 270.4009 - logits_profile_predictions_loss: 266.5439 - logcount_predictions_loss: 0.3605 213/1106 [====>.........................] - ETA: 2:03 - loss: 270.4011 - logits_profile_predictions_loss: 266.5443 - logcount_predictions_loss: 0.3605 214/1106 [====>.........................] - ETA: 2:03 - loss: 270.4017 - logits_profile_predictions_loss: 266.5451 - logcount_predictions_loss: 0.3604 215/1106 [====>.........................] - ETA: 2:03 - loss: 270.4019 - logits_profile_predictions_loss: 266.5454 - logcount_predictions_loss: 0.3604 216/1106 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[==============================] - ETA: 0s - loss: 270.3399 - logits_profile_predictions_loss: 266.5190 - logcount_predictions_loss: 0.3571 1106/1106 [==============================] - 160s 145ms/step - loss: 270.3395 - logits_profile_predictions_loss: 266.5186 - logcount_predictions_loss: 0.3571 - val_loss: 276.5048 - val_logits_profile_predictions_loss: 272.7010 - val_logcount_predictions_loss: 0.3555 + +Epoch 00003: val_loss improved from 277.18317 to 276.50482, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 4/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 260.0477 - logits_profile_predictions_loss: 257.1104 - logcount_predictions_loss: 0.2745 2/1106 [..............................] - ETA: 2:41 - loss: 255.6349 - logits_profile_predictions_loss: 252.5959 - logcount_predictions_loss: 0.2840 3/1106 [..............................] - ETA: 2:37 - loss: 257.2579 - logits_profile_predictions_loss: 254.0969 - logcount_predictions_loss: 0.2954 4/1106 [..............................] - ETA: 2:35 - loss: 260.6019 - logits_profile_predictions_loss: 257.3299 - logcount_predictions_loss: 0.3058 5/1106 [..............................] - ETA: 2:35 - loss: 262.7457 - logits_profile_predictions_loss: 259.3915 - logcount_predictions_loss: 0.3135 6/1106 [..............................] - ETA: 2:34 - loss: 263.4179 - logits_profile_predictions_loss: 259.9798 - logcount_predictions_loss: 0.3213 7/1106 [..............................] - ETA: 2:33 - loss: 264.1652 - logits_profile_predictions_loss: 260.6932 - logcount_predictions_loss: 0.3245 8/1106 [..............................] - ETA: 2:33 - loss: 265.1639 - logits_profile_predictions_loss: 261.6610 - logcount_predictions_loss: 0.3274 9/1106 [..............................] - ETA: 2:33 - loss: 266.1859 - logits_profile_predictions_loss: 262.6628 - logcount_predictions_loss: 0.3293 10/1106 [..............................] - ETA: 2:33 - loss: 266.7037 - logits_profile_predictions_loss: 263.1735 - logcount_predictions_loss: 0.3299 11/1106 [..............................] - ETA: 2:32 - loss: 266.8681 - logits_profile_predictions_loss: 263.3355 - logcount_predictions_loss: 0.3301 12/1106 [..............................] - ETA: 2:32 - loss: 266.8019 - logits_profile_predictions_loss: 263.2619 - logcount_predictions_loss: 0.3308 13/1106 [..............................] - ETA: 2:32 - loss: 266.7687 - logits_profile_predictions_loss: 263.2225 - logcount_predictions_loss: 0.3314 14/1106 [..............................] - ETA: 2:32 - loss: 266.7441 - logits_profile_predictions_loss: 263.1939 - logcount_predictions_loss: 0.3318 15/1106 [..............................] - ETA: 2:32 - loss: 266.6416 - logits_profile_predictions_loss: 263.0919 - logcount_predictions_loss: 0.3318 16/1106 [..............................] - ETA: 2:31 - loss: 266.6307 - logits_profile_predictions_loss: 263.0805 - logcount_predictions_loss: 0.3318 17/1106 [..............................] - ETA: 2:31 - loss: 266.6716 - logits_profile_predictions_loss: 263.1228 - logcount_predictions_loss: 0.3317 18/1106 [..............................] - ETA: 2:31 - loss: 266.6488 - logits_profile_predictions_loss: 263.0996 - logcount_predictions_loss: 0.3317 19/1106 [..............................] - ETA: 2:31 - loss: 266.6503 - logits_profile_predictions_loss: 263.1014 - logcount_predictions_loss: 0.3317 20/1106 [..............................] - ETA: 2:31 - loss: 266.6529 - logits_profile_predictions_loss: 263.1047 - logcount_predictions_loss: 0.3316 21/1106 [..............................] - ETA: 2:31 - loss: 266.6519 - logits_profile_predictions_loss: 263.1024 - logcount_predictions_loss: 0.3317 22/1106 [..............................] - ETA: 2:30 - loss: 266.6505 - logits_profile_predictions_loss: 263.0985 - logcount_predictions_loss: 0.3320 23/1106 [..............................] - ETA: 2:30 - 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264.3777 - logcount_predictions_loss: 0.3343 50/1106 [>.............................] - ETA: 2:26 - loss: 268.0141 - logits_profile_predictions_loss: 264.4374 - logcount_predictions_loss: 0.3343 51/1106 [>.............................] - ETA: 2:26 - loss: 268.0632 - logits_profile_predictions_loss: 264.4867 - logcount_predictions_loss: 0.3343 52/1106 [>.............................] - ETA: 2:26 - loss: 268.1158 - logits_profile_predictions_loss: 264.5400 - logcount_predictions_loss: 0.3342 53/1106 [>.............................] - ETA: 2:26 - loss: 268.1735 - logits_profile_predictions_loss: 264.5983 - logcount_predictions_loss: 0.3341 54/1106 [>.............................] - ETA: 2:26 - loss: 268.2304 - logits_profile_predictions_loss: 264.6557 - logcount_predictions_loss: 0.3341 55/1106 [>.............................] - ETA: 2:25 - loss: 268.2841 - logits_profile_predictions_loss: 264.7100 - logcount_predictions_loss: 0.3340 56/1106 [>.............................] - ETA: 2:25 - 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[=>............................] - ETA: 2:23 - loss: 269.0943 - logits_profile_predictions_loss: 265.5275 - logcount_predictions_loss: 0.3333 77/1106 [=>............................] - ETA: 2:22 - loss: 269.1183 - logits_profile_predictions_loss: 265.5517 - logcount_predictions_loss: 0.3333 78/1106 [=>............................] - ETA: 2:22 - loss: 269.1406 - logits_profile_predictions_loss: 265.5739 - logcount_predictions_loss: 0.3333 79/1106 [=>............................] - ETA: 2:22 - loss: 269.1587 - logits_profile_predictions_loss: 265.5918 - logcount_predictions_loss: 0.3334 80/1106 [=>............................] - ETA: 2:22 - loss: 269.1758 - logits_profile_predictions_loss: 265.6087 - logcount_predictions_loss: 0.3334 81/1106 [=>............................] - ETA: 2:22 - loss: 269.1940 - logits_profile_predictions_loss: 265.6266 - logcount_predictions_loss: 0.3334 82/1106 [=>............................] - ETA: 2:22 - loss: 269.2077 - logits_profile_predictions_loss: 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loss: 269.3084 - logits_profile_predictions_loss: 265.7405 - logcount_predictions_loss: 0.3334 90/1106 [=>............................] - ETA: 2:21 - loss: 269.3198 - logits_profile_predictions_loss: 265.7520 - logcount_predictions_loss: 0.3334 91/1106 [=>............................] - ETA: 2:20 - loss: 269.3340 - logits_profile_predictions_loss: 265.7662 - logcount_predictions_loss: 0.3334 92/1106 [=>............................] - ETA: 2:20 - loss: 269.3483 - logits_profile_predictions_loss: 265.7808 - logcount_predictions_loss: 0.3334 93/1106 [=>............................] - ETA: 2:20 - loss: 269.3621 - logits_profile_predictions_loss: 265.7948 - logcount_predictions_loss: 0.3334 94/1106 [=>............................] - ETA: 2:20 - loss: 269.3728 - logits_profile_predictions_loss: 265.8058 - logcount_predictions_loss: 0.3334 95/1106 [=>............................] - ETA: 2:20 - loss: 269.3859 - logits_profile_predictions_loss: 265.8192 - logcount_predictions_loss: 0.3333 96/1106 [=>............................] - ETA: 2:20 - loss: 269.3992 - logits_profile_predictions_loss: 265.8326 - logcount_predictions_loss: 0.3333 97/1106 [=>............................] - ETA: 2:20 - loss: 269.4112 - logits_profile_predictions_loss: 265.8448 - logcount_predictions_loss: 0.3333 98/1106 [=>............................] - ETA: 2:19 - loss: 269.4214 - logits_profile_predictions_loss: 265.8550 - logcount_predictions_loss: 0.3333 99/1106 [=>............................] - ETA: 2:19 - loss: 269.4346 - logits_profile_predictions_loss: 265.8684 - logcount_predictions_loss: 0.3333 100/1106 [=>............................] - ETA: 2:19 - loss: 269.4463 - logits_profile_predictions_loss: 265.8803 - logcount_predictions_loss: 0.3333 101/1106 [=>............................] - ETA: 2:19 - loss: 269.4597 - logits_profile_predictions_loss: 265.8939 - logcount_predictions_loss: 0.3333 102/1106 [=>............................] - ETA: 2:19 - loss: 269.4771 - logits_profile_predictions_loss: 265.9114 - logcount_predictions_loss: 0.3332 103/1106 [=>............................] - ETA: 2:19 - loss: 269.4945 - logits_profile_predictions_loss: 265.9291 - logcount_predictions_loss: 0.3332 104/1106 [=>............................] - ETA: 2:19 - loss: 269.5095 - logits_profile_predictions_loss: 265.9443 - logcount_predictions_loss: 0.3332 105/1106 [=>............................] - ETA: 2:18 - loss: 269.5219 - logits_profile_predictions_loss: 265.9571 - logcount_predictions_loss: 0.3332 106/1106 [=>............................] - ETA: 2:18 - loss: 269.5343 - logits_profile_predictions_loss: 265.9699 - logcount_predictions_loss: 0.3331 107/1106 [=>............................] - ETA: 2:18 - loss: 269.5468 - logits_profile_predictions_loss: 265.9829 - logcount_predictions_loss: 0.3331 108/1106 [=>............................] - ETA: 2:18 - loss: 269.5604 - logits_profile_predictions_loss: 265.9970 - logcount_predictions_loss: 0.3330 109/1106 [=>............................] - ETA: 2:18 - loss: 269.5711 - logits_profile_predictions_loss: 266.0082 - logcount_predictions_loss: 0.3330 110/1106 [=>............................] - ETA: 2:18 - loss: 269.5814 - logits_profile_predictions_loss: 266.0188 - logcount_predictions_loss: 0.3329 111/1106 [==>...........................] - ETA: 2:18 - loss: 269.5915 - logits_profile_predictions_loss: 266.0293 - logcount_predictions_loss: 0.3329 112/1106 [==>...........................] - ETA: 2:17 - loss: 269.6008 - logits_profile_predictions_loss: 266.0390 - logcount_predictions_loss: 0.3329 113/1106 [==>...........................] - ETA: 2:17 - loss: 269.6078 - logits_profile_predictions_loss: 266.0463 - logcount_predictions_loss: 0.3328 114/1106 [==>...........................] - ETA: 2:17 - loss: 269.6153 - logits_profile_predictions_loss: 266.0542 - logcount_predictions_loss: 0.3328 115/1106 [==>...........................] - ETA: 2:17 - loss: 269.6250 - logits_profile_predictions_loss: 266.0643 - logcount_predictions_loss: 0.3328 116/1106 [==>...........................] - ETA: 2:17 - loss: 269.6337 - logits_profile_predictions_loss: 266.0732 - logcount_predictions_loss: 0.3327 117/1106 [==>...........................] - ETA: 2:17 - loss: 269.6427 - logits_profile_predictions_loss: 266.0826 - logcount_predictions_loss: 0.3327 118/1106 [==>...........................] - ETA: 2:17 - loss: 269.6542 - logits_profile_predictions_loss: 266.0943 - logcount_predictions_loss: 0.3327 119/1106 [==>...........................] - ETA: 2:16 - loss: 269.6644 - logits_profile_predictions_loss: 266.1049 - logcount_predictions_loss: 0.3327 120/1106 [==>...........................] - ETA: 2:16 - loss: 269.6751 - logits_profile_predictions_loss: 266.1157 - logcount_predictions_loss: 0.3326 121/1106 [==>...........................] - ETA: 2:16 - loss: 269.6833 - logits_profile_predictions_loss: 266.1241 - logcount_predictions_loss: 0.3326 122/1106 [==>...........................] - ETA: 2:16 - loss: 269.6915 - logits_profile_predictions_loss: 266.1325 - logcount_predictions_loss: 0.3326 123/1106 [==>...........................] - ETA: 2:16 - loss: 269.6984 - logits_profile_predictions_loss: 266.1394 - logcount_predictions_loss: 0.3326 124/1106 [==>...........................] - ETA: 2:16 - loss: 269.7055 - logits_profile_predictions_loss: 266.1467 - logcount_predictions_loss: 0.3326 125/1106 [==>...........................] - ETA: 2:16 - loss: 269.7138 - logits_profile_predictions_loss: 266.1551 - logcount_predictions_loss: 0.3326 126/1106 [==>...........................] - ETA: 2:16 - loss: 269.7207 - logits_profile_predictions_loss: 266.1621 - logcount_predictions_loss: 0.3326 127/1106 [==>...........................] - ETA: 2:15 - loss: 269.7266 - logits_profile_predictions_loss: 266.1682 - logcount_predictions_loss: 0.3326 128/1106 [==>...........................] - ETA: 2:15 - loss: 269.7333 - logits_profile_predictions_loss: 266.1750 - logcount_predictions_loss: 0.3325 129/1106 [==>...........................] - ETA: 2:15 - loss: 269.7379 - logits_profile_predictions_loss: 266.1798 - logcount_predictions_loss: 0.3325 130/1106 [==>...........................] - ETA: 2:15 - loss: 269.7422 - logits_profile_predictions_loss: 266.1843 - logcount_predictions_loss: 0.3325 131/1106 [==>...........................] - ETA: 2:15 - loss: 269.7485 - logits_profile_predictions_loss: 266.1907 - logcount_predictions_loss: 0.3325 132/1106 [==>...........................] - ETA: 2:15 - loss: 269.7547 - logits_profile_predictions_loss: 266.1971 - logcount_predictions_loss: 0.3325 133/1106 [==>...........................] - ETA: 2:15 - loss: 269.7609 - logits_profile_predictions_loss: 266.2034 - logcount_predictions_loss: 0.3325 134/1106 [==>...........................] - ETA: 2:14 - loss: 269.7670 - logits_profile_predictions_loss: 266.2097 - logcount_predictions_loss: 0.3325 135/1106 [==>...........................] - ETA: 2:14 - loss: 269.7736 - logits_profile_predictions_loss: 266.2163 - logcount_predictions_loss: 0.3324 136/1106 [==>...........................] - ETA: 2:14 - loss: 269.7807 - logits_profile_predictions_loss: 266.2236 - logcount_predictions_loss: 0.3324 137/1106 [==>...........................] - ETA: 2:14 - loss: 269.7867 - logits_profile_predictions_loss: 266.2296 - logcount_predictions_loss: 0.3324 138/1106 [==>...........................] - ETA: 2:14 - loss: 269.7913 - logits_profile_predictions_loss: 266.2343 - logcount_predictions_loss: 0.3324 139/1106 [==>...........................] - ETA: 2:14 - loss: 269.7953 - logits_profile_predictions_loss: 266.2383 - logcount_predictions_loss: 0.3324 140/1106 [==>...........................] - ETA: 2:14 - loss: 269.8020 - logits_profile_predictions_loss: 266.2450 - logcount_predictions_loss: 0.3324 141/1106 [==>...........................] - ETA: 2:13 - loss: 269.8087 - logits_profile_predictions_loss: 266.2518 - logcount_predictions_loss: 0.3324 142/1106 [==>...........................] - ETA: 2:13 - loss: 269.8156 - logits_profile_predictions_loss: 266.2587 - logcount_predictions_loss: 0.3324 143/1106 [==>...........................] - ETA: 2:13 - loss: 269.8235 - logits_profile_predictions_loss: 266.2666 - logcount_predictions_loss: 0.3324 144/1106 [==>...........................] - ETA: 2:13 - loss: 269.8303 - logits_profile_predictions_loss: 266.2735 - logcount_predictions_loss: 0.3324 145/1106 [==>...........................] - ETA: 2:13 - loss: 269.8379 - logits_profile_predictions_loss: 266.2811 - logcount_predictions_loss: 0.3324 146/1106 [==>...........................] - ETA: 2:13 - loss: 269.8452 - logits_profile_predictions_loss: 266.2884 - logcount_predictions_loss: 0.3324 147/1106 [==>...........................] - ETA: 2:13 - loss: 269.8514 - logits_profile_predictions_loss: 266.2946 - logcount_predictions_loss: 0.3324 148/1106 [===>..........................] - ETA: 2:12 - loss: 269.8579 - logits_profile_predictions_loss: 266.3011 - logcount_predictions_loss: 0.3324 149/1106 [===>..........................] - ETA: 2:12 - loss: 269.8636 - logits_profile_predictions_loss: 266.3068 - logcount_predictions_loss: 0.3324 150/1106 [===>..........................] - ETA: 2:12 - loss: 269.8690 - logits_profile_predictions_loss: 266.3121 - logcount_predictions_loss: 0.3324 151/1106 [===>..........................] - ETA: 2:12 - loss: 269.8741 - logits_profile_predictions_loss: 266.3173 - logcount_predictions_loss: 0.3324 152/1106 [===>..........................] - ETA: 2:12 - loss: 269.8780 - logits_profile_predictions_loss: 266.3212 - logcount_predictions_loss: 0.3324 153/1106 [===>..........................] - ETA: 2:12 - loss: 269.8811 - logits_profile_predictions_loss: 266.3242 - logcount_predictions_loss: 0.3324 154/1106 [===>..........................] - ETA: 2:12 - loss: 269.8844 - logits_profile_predictions_loss: 266.3276 - logcount_predictions_loss: 0.3324 155/1106 [===>..........................] - ETA: 2:11 - loss: 269.8868 - logits_profile_predictions_loss: 266.3298 - logcount_predictions_loss: 0.3324 156/1106 [===>..........................] - ETA: 2:11 - loss: 269.8889 - logits_profile_predictions_loss: 266.3320 - logcount_predictions_loss: 0.3324 157/1106 [===>..........................] - ETA: 2:11 - loss: 269.8918 - logits_profile_predictions_loss: 266.3349 - logcount_predictions_loss: 0.3324 158/1106 [===>..........................] - ETA: 2:11 - loss: 269.8936 - logits_profile_predictions_loss: 266.3367 - logcount_predictions_loss: 0.3324 159/1106 [===>..........................] - ETA: 2:11 - loss: 269.8957 - logits_profile_predictions_loss: 266.3388 - logcount_predictions_loss: 0.3324 160/1106 [===>..........................] - ETA: 2:11 - loss: 269.8984 - logits_profile_predictions_loss: 266.3414 - logcount_predictions_loss: 0.3324 161/1106 [===>..........................] - ETA: 2:11 - loss: 269.9005 - logits_profile_predictions_loss: 266.3434 - logcount_predictions_loss: 0.3324 162/1106 [===>..........................] - ETA: 2:10 - loss: 269.9028 - logits_profile_predictions_loss: 266.3457 - logcount_predictions_loss: 0.3324 163/1106 [===>..........................] - ETA: 2:10 - loss: 269.9059 - logits_profile_predictions_loss: 266.3488 - logcount_predictions_loss: 0.3324 164/1106 [===>..........................] - ETA: 2:10 - loss: 269.9088 - logits_profile_predictions_loss: 266.3517 - logcount_predictions_loss: 0.3324 165/1106 [===>..........................] - ETA: 2:10 - loss: 269.9121 - logits_profile_predictions_loss: 266.3550 - logcount_predictions_loss: 0.3324 166/1106 [===>..........................] - ETA: 2:10 - loss: 269.9146 - logits_profile_predictions_loss: 266.3576 - logcount_predictions_loss: 0.3324 167/1106 [===>..........................] - ETA: 2:10 - loss: 269.9170 - logits_profile_predictions_loss: 266.3600 - logcount_predictions_loss: 0.3324 168/1106 [===>..........................] - ETA: 2:10 - loss: 269.9194 - logits_profile_predictions_loss: 266.3624 - logcount_predictions_loss: 0.3324 169/1106 [===>..........................] - ETA: 2:10 - loss: 269.9217 - logits_profile_predictions_loss: 266.3647 - logcount_predictions_loss: 0.3324 170/1106 [===>..........................] - ETA: 2:09 - loss: 269.9239 - logits_profile_predictions_loss: 266.3669 - logcount_predictions_loss: 0.3324 171/1106 [===>..........................] - ETA: 2:09 - loss: 269.9260 - logits_profile_predictions_loss: 266.3690 - logcount_predictions_loss: 0.3324 172/1106 [===>..........................] - ETA: 2:09 - loss: 269.9278 - logits_profile_predictions_loss: 266.3708 - logcount_predictions_loss: 0.3324 173/1106 [===>..........................] - ETA: 2:09 - loss: 269.9301 - logits_profile_predictions_loss: 266.3731 - logcount_predictions_loss: 0.3324 174/1106 [===>..........................] - ETA: 2:09 - loss: 269.9325 - logits_profile_predictions_loss: 266.3755 - logcount_predictions_loss: 0.3324 175/1106 [===>..........................] - ETA: 2:09 - loss: 269.9342 - logits_profile_predictions_loss: 266.3772 - logcount_predictions_loss: 0.3324 176/1106 [===>..........................] - ETA: 2:09 - loss: 269.9350 - logits_profile_predictions_loss: 266.3779 - logcount_predictions_loss: 0.3324 177/1106 [===>..........................] - ETA: 2:08 - loss: 269.9369 - logits_profile_predictions_loss: 266.3797 - logcount_predictions_loss: 0.3324 178/1106 [===>..........................] - ETA: 2:08 - loss: 269.9387 - logits_profile_predictions_loss: 266.3814 - logcount_predictions_loss: 0.3325 179/1106 [===>..........................] - ETA: 2:08 - loss: 269.9402 - logits_profile_predictions_loss: 266.3828 - logcount_predictions_loss: 0.3325 180/1106 [===>..........................] - ETA: 2:08 - loss: 269.9420 - logits_profile_predictions_loss: 266.3845 - logcount_predictions_loss: 0.3325 181/1106 [===>..........................] - ETA: 2:08 - loss: 269.9443 - logits_profile_predictions_loss: 266.3867 - logcount_predictions_loss: 0.3325 182/1106 [===>..........................] - ETA: 2:08 - loss: 269.9468 - logits_profile_predictions_loss: 266.3892 - logcount_predictions_loss: 0.3325 183/1106 [===>..........................] - ETA: 2:08 - loss: 269.9494 - logits_profile_predictions_loss: 266.3917 - logcount_predictions_loss: 0.3325 184/1106 [===>..........................] - ETA: 2:07 - loss: 269.9519 - logits_profile_predictions_loss: 266.3942 - logcount_predictions_loss: 0.3325 185/1106 [====>.........................] - ETA: 2:07 - loss: 269.9548 - logits_profile_predictions_loss: 266.3970 - logcount_predictions_loss: 0.3325 186/1106 [====>.........................] - ETA: 2:07 - loss: 269.9574 - logits_profile_predictions_loss: 266.3995 - logcount_predictions_loss: 0.3325 187/1106 [====>.........................] - ETA: 2:07 - loss: 269.9612 - logits_profile_predictions_loss: 266.4032 - logcount_predictions_loss: 0.3325 188/1106 [====>.........................] - ETA: 2:07 - loss: 269.9649 - logits_profile_predictions_loss: 266.4068 - logcount_predictions_loss: 0.3325 189/1106 [====>.........................] - ETA: 2:07 - loss: 269.9686 - logits_profile_predictions_loss: 266.4105 - logcount_predictions_loss: 0.3325 190/1106 [====>.........................] - ETA: 2:07 - loss: 269.9736 - logits_profile_predictions_loss: 266.4154 - logcount_predictions_loss: 0.3325 191/1106 [====>.........................] - ETA: 2:06 - loss: 269.9785 - logits_profile_predictions_loss: 266.4202 - logcount_predictions_loss: 0.3325 192/1106 [====>.........................] - ETA: 2:06 - loss: 269.9829 - logits_profile_predictions_loss: 266.4245 - logcount_predictions_loss: 0.3326 193/1106 [====>.........................] - ETA: 2:06 - loss: 269.9868 - logits_profile_predictions_loss: 266.4283 - logcount_predictions_loss: 0.3326 194/1106 [====>.........................] - ETA: 2:06 - loss: 269.9903 - logits_profile_predictions_loss: 266.4318 - logcount_predictions_loss: 0.3326 195/1106 [====>.........................] - ETA: 2:06 - loss: 269.9934 - logits_profile_predictions_loss: 266.4348 - logcount_predictions_loss: 0.3326 196/1106 [====>.........................] - ETA: 2:06 - loss: 269.9966 - logits_profile_predictions_loss: 266.4379 - logcount_predictions_loss: 0.3326 197/1106 [====>.........................] - ETA: 2:06 - loss: 269.9998 - logits_profile_predictions_loss: 266.4410 - logcount_predictions_loss: 0.3326 198/1106 [====>.........................] - ETA: 2:05 - loss: 270.0038 - logits_profile_predictions_loss: 266.4449 - logcount_predictions_loss: 0.3326 199/1106 [====>.........................] - ETA: 2:05 - loss: 270.0079 - logits_profile_predictions_loss: 266.4488 - logcount_predictions_loss: 0.3326 200/1106 [====>.........................] - ETA: 2:05 - loss: 270.0110 - logits_profile_predictions_loss: 266.4518 - logcount_predictions_loss: 0.3326 201/1106 [====>.........................] - ETA: 2:05 - loss: 270.0136 - logits_profile_predictions_loss: 266.4544 - logcount_predictions_loss: 0.3326 202/1106 [====>.........................] - ETA: 2:05 - loss: 270.0165 - logits_profile_predictions_loss: 266.4571 - logcount_predictions_loss: 0.3327 203/1106 [====>.........................] - ETA: 2:05 - loss: 270.0198 - logits_profile_predictions_loss: 266.4602 - logcount_predictions_loss: 0.3327 204/1106 [====>.........................] - ETA: 2:05 - loss: 270.0227 - logits_profile_predictions_loss: 266.4630 - logcount_predictions_loss: 0.3327 205/1106 [====>.........................] - ETA: 2:04 - loss: 270.0258 - logits_profile_predictions_loss: 266.4659 - logcount_predictions_loss: 0.3327 206/1106 [====>.........................] - ETA: 2:04 - loss: 270.0294 - logits_profile_predictions_loss: 266.4692 - logcount_predictions_loss: 0.3327 207/1106 [====>.........................] - ETA: 2:04 - loss: 270.0329 - logits_profile_predictions_loss: 266.4726 - logcount_predictions_loss: 0.3327 208/1106 [====>.........................] - ETA: 2:04 - loss: 270.0369 - logits_profile_predictions_loss: 266.4765 - logcount_predictions_loss: 0.3327 209/1106 [====>.........................] - ETA: 2:04 - loss: 270.0404 - logits_profile_predictions_loss: 266.4798 - logcount_predictions_loss: 0.3328 210/1106 [====>.........................] - ETA: 2:04 - loss: 270.0435 - logits_profile_predictions_loss: 266.4828 - logcount_predictions_loss: 0.3328 211/1106 [====>.........................] - ETA: 2:04 - loss: 270.0466 - logits_profile_predictions_loss: 266.4856 - logcount_predictions_loss: 0.3328 212/1106 [====>.........................] - ETA: 2:04 - loss: 270.0496 - logits_profile_predictions_loss: 266.4885 - logcount_predictions_loss: 0.3328 213/1106 [====>.........................] - ETA: 2:03 - loss: 270.0524 - logits_profile_predictions_loss: 266.4912 - logcount_predictions_loss: 0.3328 214/1106 [====>.........................] - ETA: 2:03 - loss: 270.0550 - logits_profile_predictions_loss: 266.4936 - logcount_predictions_loss: 0.3328 215/1106 [====>.........................] - ETA: 2:03 - loss: 270.0569 - logits_profile_predictions_loss: 266.4953 - logcount_predictions_loss: 0.3329 216/1106 [====>.........................] - ETA: 2:03 - loss: 270.0587 - logits_profile_predictions_loss: 266.4969 - logcount_predictions_loss: 0.3329 217/1106 [====>.........................] - ETA: 2:03 - loss: 270.0609 - logits_profile_predictions_loss: 266.4990 - logcount_predictions_loss: 0.3329 218/1106 [====>.........................] - ETA: 2:03 - loss: 270.0632 - logits_profile_predictions_loss: 266.5011 - logcount_predictions_loss: 0.3329 219/1106 [====>.........................] - ETA: 2:03 - loss: 270.0656 - logits_profile_predictions_loss: 266.5033 - logcount_predictions_loss: 0.3329 220/1106 [====>.........................] - ETA: 2:02 - loss: 270.0684 - logits_profile_predictions_loss: 266.5058 - logcount_predictions_loss: 0.3330 221/1106 [====>.........................] - ETA: 2:02 - loss: 270.0708 - logits_profile_predictions_loss: 266.5079 - logcount_predictions_loss: 0.3330 222/1106 [=====>........................] - ETA: 2:02 - loss: 270.0731 - logits_profile_predictions_loss: 266.5100 - logcount_predictions_loss: 0.3330 223/1106 [=====>........................] - ETA: 2:02 - loss: 270.0759 - logits_profile_predictions_loss: 266.5125 - logcount_predictions_loss: 0.3330 224/1106 [=====>........................] - ETA: 2:02 - loss: 270.0779 - logits_profile_predictions_loss: 266.5143 - logcount_predictions_loss: 0.3330 225/1106 [=====>........................] - ETA: 2:02 - loss: 270.0794 - logits_profile_predictions_loss: 266.5156 - logcount_predictions_loss: 0.3331 226/1106 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logits_profile_predictions_loss: 265.7814 - logcount_predictions_loss: 0.3367 1097/1106 [============================>.] - ETA: 1s - loss: 269.3832 - logits_profile_predictions_loss: 265.7807 - logcount_predictions_loss: 0.3367 1098/1106 [============================>.] - ETA: 1s - loss: 269.3824 - logits_profile_predictions_loss: 265.7800 - logcount_predictions_loss: 0.3367 1099/1106 [============================>.] - ETA: 0s - loss: 269.3817 - logits_profile_predictions_loss: 265.7792 - logcount_predictions_loss: 0.3367 1100/1106 [============================>.] - ETA: 0s - loss: 269.3809 - logits_profile_predictions_loss: 265.7785 - logcount_predictions_loss: 0.3367 1101/1106 [============================>.] - ETA: 0s - loss: 269.3801 - logits_profile_predictions_loss: 265.7778 - logcount_predictions_loss: 0.3367 1102/1106 [============================>.] - ETA: 0s - loss: 269.3794 - logits_profile_predictions_loss: 265.7771 - logcount_predictions_loss: 0.3367 1103/1106 [============================>.] - ETA: 0s - loss: 269.3787 - logits_profile_predictions_loss: 265.7763 - logcount_predictions_loss: 0.3367 1104/1106 [============================>.] - ETA: 0s - loss: 269.3780 - logits_profile_predictions_loss: 265.7756 - logcount_predictions_loss: 0.3367 1105/1106 [============================>.] - ETA: 0s - loss: 269.3772 - logits_profile_predictions_loss: 265.7749 - logcount_predictions_loss: 0.3367 1106/1106 [==============================] - ETA: 0s - loss: 269.3765 - logits_profile_predictions_loss: 265.7743 - logcount_predictions_loss: 0.3367 1106/1106 [==============================] - 160s 145ms/step - loss: 269.3758 - logits_profile_predictions_loss: 265.7736 - logcount_predictions_loss: 0.3367 - val_loss: 275.8582 - val_logits_profile_predictions_loss: 271.8173 - val_logcount_predictions_loss: 0.3776 + +Epoch 00004: val_loss improved from 276.50482 to 275.85815, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 5/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 244.8864 - logits_profile_predictions_loss: 241.9445 - logcount_predictions_loss: 0.2749 2/1106 [..............................] - ETA: 2:41 - loss: 245.5567 - logits_profile_predictions_loss: 242.6155 - logcount_predictions_loss: 0.2749 3/1106 [..............................] - ETA: 2:37 - loss: 248.0404 - logits_profile_predictions_loss: 245.0872 - logcount_predictions_loss: 0.2760 4/1106 [..............................] - ETA: 2:35 - loss: 250.3638 - logits_profile_predictions_loss: 247.3417 - logcount_predictions_loss: 0.2824 5/1106 [..............................] - ETA: 2:34 - loss: 252.4831 - logits_profile_predictions_loss: 249.3809 - logcount_predictions_loss: 0.2899 6/1106 [..............................] - ETA: 2:34 - loss: 254.4979 - logits_profile_predictions_loss: 251.3230 - logcount_predictions_loss: 0.2967 7/1106 [..............................] - ETA: 2:33 - loss: 256.9132 - logits_profile_predictions_loss: 253.6884 - logcount_predictions_loss: 0.3014 8/1106 [..............................] - ETA: 2:33 - loss: 258.6678 - logits_profile_predictions_loss: 255.4150 - logcount_predictions_loss: 0.3040 9/1106 [..............................] - ETA: 2:33 - loss: 260.5620 - logits_profile_predictions_loss: 257.2847 - logcount_predictions_loss: 0.3063 10/1106 [..............................] - ETA: 2:32 - loss: 261.9943 - logits_profile_predictions_loss: 258.6934 - logcount_predictions_loss: 0.3085 11/1106 [..............................] - ETA: 2:32 - loss: 263.2297 - logits_profile_predictions_loss: 259.9203 - logcount_predictions_loss: 0.3093 12/1106 [..............................] - ETA: 2:32 - loss: 263.9636 - logits_profile_predictions_loss: 260.6436 - logcount_predictions_loss: 0.3103 13/1106 [..............................] - ETA: 2:32 - loss: 264.4895 - logits_profile_predictions_loss: 261.1661 - logcount_predictions_loss: 0.3106 14/1106 [..............................] - ETA: 2:32 - loss: 264.9086 - logits_profile_predictions_loss: 261.5830 - logcount_predictions_loss: 0.3108 15/1106 [..............................] - ETA: 2:31 - loss: 265.3316 - logits_profile_predictions_loss: 261.9988 - logcount_predictions_loss: 0.3115 16/1106 [..............................] - ETA: 2:31 - loss: 265.5786 - logits_profile_predictions_loss: 262.2438 - logcount_predictions_loss: 0.3117 17/1106 [..............................] - ETA: 2:31 - loss: 265.7812 - logits_profile_predictions_loss: 262.4456 - logcount_predictions_loss: 0.3117 18/1106 [..............................] - ETA: 2:31 - loss: 265.9275 - logits_profile_predictions_loss: 262.5919 - logcount_predictions_loss: 0.3117 19/1106 [..............................] - ETA: 2:31 - loss: 266.0789 - logits_profile_predictions_loss: 262.7411 - logcount_predictions_loss: 0.3119 20/1106 [..............................] - ETA: 2:31 - loss: 266.1932 - logits_profile_predictions_loss: 262.8532 - logcount_predictions_loss: 0.3122 21/1106 [..............................] - ETA: 2:30 - loss: 266.2746 - logits_profile_predictions_loss: 262.9310 - logcount_predictions_loss: 0.3125 22/1106 [..............................] - ETA: 2:30 - loss: 266.4035 - logits_profile_predictions_loss: 263.0540 - logcount_predictions_loss: 0.3130 23/1106 [..............................] - ETA: 2:30 - loss: 266.5023 - logits_profile_predictions_loss: 263.1456 - logcount_predictions_loss: 0.3137 24/1106 [..............................] - ETA: 2:30 - loss: 266.6147 - logits_profile_predictions_loss: 263.2499 - logcount_predictions_loss: 0.3145 25/1106 [..............................] - ETA: 2:30 - loss: 266.7176 - logits_profile_predictions_loss: 263.3472 - logcount_predictions_loss: 0.3150 26/1106 [..............................] - ETA: 2:30 - loss: 266.8497 - logits_profile_predictions_loss: 263.4734 - logcount_predictions_loss: 0.3155 27/1106 [..............................] - ETA: 2:29 - loss: 266.9534 - logits_profile_predictions_loss: 263.5723 - logcount_predictions_loss: 0.3160 28/1106 [..............................] - ETA: 2:29 - loss: 267.0726 - logits_profile_predictions_loss: 263.6856 - logcount_predictions_loss: 0.3165 29/1106 [..............................] - ETA: 2:29 - loss: 267.1641 - logits_profile_predictions_loss: 263.7715 - logcount_predictions_loss: 0.3171 30/1106 [..............................] - ETA: 2:29 - loss: 267.2625 - logits_profile_predictions_loss: 263.8657 - logcount_predictions_loss: 0.3175 31/1106 [..............................] - ETA: 2:29 - loss: 267.3834 - logits_profile_predictions_loss: 263.9827 - logcount_predictions_loss: 0.3178 32/1106 [..............................] - ETA: 2:29 - loss: 267.5089 - logits_profile_predictions_loss: 264.1048 - logcount_predictions_loss: 0.3181 33/1106 [..............................] - ETA: 2:29 - loss: 267.6166 - logits_profile_predictions_loss: 264.2102 - logcount_predictions_loss: 0.3184 34/1106 [..............................] - ETA: 2:28 - loss: 267.6915 - logits_profile_predictions_loss: 264.2827 - logcount_predictions_loss: 0.3186 35/1106 [..............................] - ETA: 2:28 - loss: 267.7674 - logits_profile_predictions_loss: 264.3572 - logcount_predictions_loss: 0.3187 36/1106 [..............................] - ETA: 2:28 - loss: 267.8274 - logits_profile_predictions_loss: 264.4157 - logcount_predictions_loss: 0.3189 37/1106 [>.............................] - ETA: 2:28 - loss: 267.9143 - logits_profile_predictions_loss: 264.5014 - logcount_predictions_loss: 0.3190 38/1106 [>.............................] - ETA: 2:28 - loss: 268.0167 - logits_profile_predictions_loss: 264.6031 - logcount_predictions_loss: 0.3190 39/1106 [>.............................] - ETA: 2:28 - loss: 268.1351 - logits_profile_predictions_loss: 264.7206 - logcount_predictions_loss: 0.3191 40/1106 [>.............................] - ETA: 2:28 - loss: 268.2411 - logits_profile_predictions_loss: 264.8253 - logcount_predictions_loss: 0.3192 41/1106 [>.............................] - ETA: 2:27 - loss: 268.3494 - logits_profile_predictions_loss: 264.9326 - logcount_predictions_loss: 0.3193 42/1106 [>.............................] - ETA: 2:27 - loss: 268.4478 - logits_profile_predictions_loss: 265.0295 - logcount_predictions_loss: 0.3195 43/1106 [>.............................] - ETA: 2:27 - loss: 268.5421 - logits_profile_predictions_loss: 265.1222 - logcount_predictions_loss: 0.3196 44/1106 [>.............................] - ETA: 2:27 - loss: 268.6323 - logits_profile_predictions_loss: 265.2107 - logcount_predictions_loss: 0.3198 45/1106 [>.............................] - ETA: 2:27 - loss: 268.7148 - logits_profile_predictions_loss: 265.2919 - logcount_predictions_loss: 0.3199 46/1106 [>.............................] - ETA: 2:27 - loss: 268.7839 - logits_profile_predictions_loss: 265.3592 - logcount_predictions_loss: 0.3201 47/1106 [>.............................] - ETA: 2:27 - loss: 268.8495 - logits_profile_predictions_loss: 265.4236 - logcount_predictions_loss: 0.3202 48/1106 [>.............................] - ETA: 2:26 - loss: 268.9056 - logits_profile_predictions_loss: 265.4786 - logcount_predictions_loss: 0.3203 49/1106 [>.............................] - ETA: 2:26 - loss: 268.9664 - logits_profile_predictions_loss: 265.5380 - logcount_predictions_loss: 0.3204 50/1106 [>.............................] - ETA: 2:26 - loss: 269.0233 - logits_profile_predictions_loss: 265.5936 - logcount_predictions_loss: 0.3205 51/1106 [>.............................] - ETA: 2:26 - loss: 269.0906 - logits_profile_predictions_loss: 265.6597 - logcount_predictions_loss: 0.3206 52/1106 [>.............................] - ETA: 2:26 - loss: 269.1601 - logits_profile_predictions_loss: 265.7282 - logcount_predictions_loss: 0.3207 53/1106 [>.............................] - ETA: 2:26 - loss: 269.2256 - logits_profile_predictions_loss: 265.7924 - logcount_predictions_loss: 0.3209 54/1106 [>.............................] - ETA: 2:26 - loss: 269.2882 - logits_profile_predictions_loss: 265.8536 - logcount_predictions_loss: 0.3210 55/1106 [>.............................] - ETA: 2:26 - loss: 269.3434 - logits_profile_predictions_loss: 265.9080 - logcount_predictions_loss: 0.3211 56/1106 [>.............................] - ETA: 2:26 - loss: 269.3961 - logits_profile_predictions_loss: 265.9598 - logcount_predictions_loss: 0.3212 57/1106 [>.............................] - ETA: 2:25 - loss: 269.4530 - logits_profile_predictions_loss: 266.0154 - logcount_predictions_loss: 0.3213 58/1106 [>.............................] - ETA: 2:25 - loss: 269.5022 - logits_profile_predictions_loss: 266.0633 - logcount_predictions_loss: 0.3214 59/1106 [>.............................] - ETA: 2:25 - loss: 269.5516 - logits_profile_predictions_loss: 266.1114 - logcount_predictions_loss: 0.3215 60/1106 [>.............................] - ETA: 2:25 - loss: 269.6023 - logits_profile_predictions_loss: 266.1607 - logcount_predictions_loss: 0.3216 61/1106 [>.............................] - ETA: 2:25 - loss: 269.6554 - logits_profile_predictions_loss: 266.2122 - logcount_predictions_loss: 0.3218 62/1106 [>.............................] - ETA: 2:25 - loss: 269.6995 - logits_profile_predictions_loss: 266.2545 - logcount_predictions_loss: 0.3220 63/1106 [>.............................] - ETA: 2:25 - loss: 269.7399 - logits_profile_predictions_loss: 266.2929 - logcount_predictions_loss: 0.3221 64/1106 [>.............................] - ETA: 2:24 - loss: 269.7802 - logits_profile_predictions_loss: 266.3308 - logcount_predictions_loss: 0.3224 65/1106 [>.............................] - ETA: 2:24 - loss: 269.8176 - logits_profile_predictions_loss: 266.3656 - logcount_predictions_loss: 0.3226 66/1106 [>.............................] - ETA: 2:24 - loss: 269.8510 - logits_profile_predictions_loss: 266.3962 - logcount_predictions_loss: 0.3229 67/1106 [>.............................] - ETA: 2:24 - loss: 269.8830 - logits_profile_predictions_loss: 266.4256 - logcount_predictions_loss: 0.3231 68/1106 [>.............................] - ETA: 2:24 - loss: 269.9067 - logits_profile_predictions_loss: 266.4467 - logcount_predictions_loss: 0.3234 69/1106 [>.............................] - ETA: 2:24 - loss: 269.9289 - logits_profile_predictions_loss: 266.4665 - logcount_predictions_loss: 0.3236 70/1106 [>.............................] - ETA: 2:24 - loss: 269.9463 - logits_profile_predictions_loss: 266.4811 - logcount_predictions_loss: 0.3239 71/1106 [>.............................] - ETA: 2:23 - loss: 269.9633 - logits_profile_predictions_loss: 266.4957 - logcount_predictions_loss: 0.3241 72/1106 [>.............................] - ETA: 2:23 - loss: 269.9791 - logits_profile_predictions_loss: 266.5091 - logcount_predictions_loss: 0.3243 73/1106 [>.............................] - ETA: 2:23 - loss: 269.9935 - logits_profile_predictions_loss: 266.5212 - logcount_predictions_loss: 0.3245 74/1106 [=>............................] - ETA: 2:23 - loss: 270.0066 - logits_profile_predictions_loss: 266.5317 - logcount_predictions_loss: 0.3248 75/1106 [=>............................] - ETA: 2:23 - loss: 270.0167 - logits_profile_predictions_loss: 266.5393 - logcount_predictions_loss: 0.3250 76/1106 [=>............................] - ETA: 2:23 - loss: 270.0273 - logits_profile_predictions_loss: 266.5475 - logcount_predictions_loss: 0.3252 77/1106 [=>............................] - ETA: 2:23 - loss: 270.0364 - logits_profile_predictions_loss: 266.5543 - logcount_predictions_loss: 0.3254 78/1106 [=>............................] - ETA: 2:22 - loss: 270.0429 - logits_profile_predictions_loss: 266.5584 - logcount_predictions_loss: 0.3257 79/1106 [=>............................] - ETA: 2:22 - loss: 270.0523 - logits_profile_predictions_loss: 266.5653 - logcount_predictions_loss: 0.3259 80/1106 [=>............................] - ETA: 2:22 - loss: 270.0574 - logits_profile_predictions_loss: 266.5680 - logcount_predictions_loss: 0.3261 81/1106 [=>............................] - ETA: 2:22 - loss: 270.0617 - logits_profile_predictions_loss: 266.5698 - logcount_predictions_loss: 0.3263 82/1106 [=>............................] - ETA: 2:22 - loss: 270.0632 - logits_profile_predictions_loss: 266.5689 - logcount_predictions_loss: 0.3266 83/1106 [=>............................] - ETA: 2:22 - loss: 270.0678 - logits_profile_predictions_loss: 266.5709 - logcount_predictions_loss: 0.3268 84/1106 [=>............................] - ETA: 2:22 - loss: 270.0707 - logits_profile_predictions_loss: 266.5714 - logcount_predictions_loss: 0.3270 85/1106 [=>............................] - ETA: 2:21 - loss: 270.0705 - logits_profile_predictions_loss: 266.5688 - logcount_predictions_loss: 0.3273 86/1106 [=>............................] - ETA: 2:21 - loss: 270.0727 - logits_profile_predictions_loss: 266.5686 - logcount_predictions_loss: 0.3275 87/1106 [=>............................] - ETA: 2:21 - loss: 270.0722 - logits_profile_predictions_loss: 266.5657 - logcount_predictions_loss: 0.3277 88/1106 [=>............................] - ETA: 2:21 - loss: 270.0717 - logits_profile_predictions_loss: 266.5630 - logcount_predictions_loss: 0.3279 89/1106 [=>............................] - ETA: 2:21 - loss: 270.0664 - logits_profile_predictions_loss: 266.5556 - logcount_predictions_loss: 0.3281 90/1106 [=>............................] - ETA: 2:21 - loss: 270.0612 - logits_profile_predictions_loss: 266.5484 - logcount_predictions_loss: 0.3283 91/1106 [=>............................] - ETA: 2:21 - loss: 270.0540 - logits_profile_predictions_loss: 266.5392 - logcount_predictions_loss: 0.3285 92/1106 [=>............................] - ETA: 2:20 - loss: 270.0433 - logits_profile_predictions_loss: 266.5267 - logcount_predictions_loss: 0.3287 93/1106 [=>............................] - ETA: 2:20 - loss: 270.0331 - logits_profile_predictions_loss: 266.5147 - logcount_predictions_loss: 0.3288 94/1106 [=>............................] - ETA: 2:20 - loss: 270.0203 - logits_profile_predictions_loss: 266.5004 - logcount_predictions_loss: 0.3290 95/1106 [=>............................] - ETA: 2:20 - loss: 270.0067 - logits_profile_predictions_loss: 266.4854 - logcount_predictions_loss: 0.3291 96/1106 [=>............................] - ETA: 2:20 - loss: 269.9924 - logits_profile_predictions_loss: 266.4697 - logcount_predictions_loss: 0.3292 97/1106 [=>............................] - ETA: 2:20 - loss: 269.9781 - logits_profile_predictions_loss: 266.4539 - logcount_predictions_loss: 0.3294 98/1106 [=>............................] - ETA: 2:20 - loss: 269.9636 - logits_profile_predictions_loss: 266.4381 - logcount_predictions_loss: 0.3295 99/1106 [=>............................] - ETA: 2:19 - loss: 269.9523 - logits_profile_predictions_loss: 266.4254 - logcount_predictions_loss: 0.3296 100/1106 [=>............................] - ETA: 2:19 - loss: 269.9396 - logits_profile_predictions_loss: 266.4113 - logcount_predictions_loss: 0.3297 101/1106 [=>............................] - ETA: 2:19 - loss: 269.9251 - logits_profile_predictions_loss: 266.3955 - logcount_predictions_loss: 0.3299 102/1106 [=>............................] - ETA: 2:19 - loss: 269.9114 - logits_profile_predictions_loss: 266.3807 - logcount_predictions_loss: 0.3300 103/1106 [=>............................] - ETA: 2:19 - loss: 269.8953 - logits_profile_predictions_loss: 266.3635 - logcount_predictions_loss: 0.3301 104/1106 [=>............................] - ETA: 2:19 - loss: 269.8814 - logits_profile_predictions_loss: 266.3485 - logcount_predictions_loss: 0.3302 105/1106 [=>............................] - ETA: 2:19 - loss: 269.8680 - logits_profile_predictions_loss: 266.3341 - logcount_predictions_loss: 0.3303 106/1106 [=>............................] - ETA: 2:18 - loss: 269.8545 - logits_profile_predictions_loss: 266.3196 - logcount_predictions_loss: 0.3304 107/1106 [=>............................] - ETA: 2:18 - loss: 269.8437 - logits_profile_predictions_loss: 266.3079 - logcount_predictions_loss: 0.3304 108/1106 [=>............................] - ETA: 2:18 - loss: 269.8338 - logits_profile_predictions_loss: 266.2971 - logcount_predictions_loss: 0.3305 109/1106 [=>............................] - ETA: 2:18 - loss: 269.8224 - logits_profile_predictions_loss: 266.2850 - logcount_predictions_loss: 0.3306 110/1106 [=>............................] - ETA: 2:18 - loss: 269.8102 - logits_profile_predictions_loss: 266.2719 - logcount_predictions_loss: 0.3307 111/1106 [==>...........................] - ETA: 2:18 - loss: 269.7984 - logits_profile_predictions_loss: 266.2594 - logcount_predictions_loss: 0.3307 112/1106 [==>...........................] - ETA: 2:18 - loss: 269.7857 - logits_profile_predictions_loss: 266.2461 - logcount_predictions_loss: 0.3308 113/1106 [==>...........................] - ETA: 2:17 - loss: 269.7721 - logits_profile_predictions_loss: 266.2319 - logcount_predictions_loss: 0.3309 114/1106 [==>...........................] - ETA: 2:17 - loss: 269.7591 - logits_profile_predictions_loss: 266.2184 - logcount_predictions_loss: 0.3309 115/1106 [==>...........................] - ETA: 2:17 - loss: 269.7441 - logits_profile_predictions_loss: 266.2029 - logcount_predictions_loss: 0.3310 116/1106 [==>...........................] - ETA: 2:17 - loss: 269.7291 - logits_profile_predictions_loss: 266.1873 - logcount_predictions_loss: 0.3310 117/1106 [==>...........................] - ETA: 2:17 - loss: 269.7138 - logits_profile_predictions_loss: 266.1716 - logcount_predictions_loss: 0.3310 118/1106 [==>...........................] - ETA: 2:17 - loss: 269.6996 - logits_profile_predictions_loss: 266.1571 - logcount_predictions_loss: 0.3311 119/1106 [==>...........................] - ETA: 2:17 - loss: 269.6850 - logits_profile_predictions_loss: 266.1421 - logcount_predictions_loss: 0.3311 120/1106 [==>...........................] - ETA: 2:17 - loss: 269.6719 - logits_profile_predictions_loss: 266.1286 - logcount_predictions_loss: 0.3311 121/1106 [==>...........................] - ETA: 2:16 - loss: 269.6591 - logits_profile_predictions_loss: 266.1155 - logcount_predictions_loss: 0.3312 122/1106 [==>...........................] - ETA: 2:16 - loss: 269.6462 - logits_profile_predictions_loss: 266.1024 - logcount_predictions_loss: 0.3312 123/1106 [==>...........................] - ETA: 2:16 - loss: 269.6343 - logits_profile_predictions_loss: 266.0901 - logcount_predictions_loss: 0.3312 124/1106 [==>...........................] - ETA: 2:16 - loss: 269.6226 - logits_profile_predictions_loss: 266.0779 - logcount_predictions_loss: 0.3313 125/1106 [==>...........................] - ETA: 2:16 - loss: 269.6106 - logits_profile_predictions_loss: 266.0654 - logcount_predictions_loss: 0.3313 126/1106 [==>...........................] - ETA: 2:16 - loss: 269.5997 - logits_profile_predictions_loss: 266.0541 - logcount_predictions_loss: 0.3314 127/1106 [==>...........................] - ETA: 2:16 - loss: 269.5892 - logits_profile_predictions_loss: 266.0430 - logcount_predictions_loss: 0.3314 128/1106 [==>...........................] - ETA: 2:15 - loss: 269.5801 - logits_profile_predictions_loss: 266.0335 - logcount_predictions_loss: 0.3315 129/1106 [==>...........................] - ETA: 2:15 - loss: 269.5716 - logits_profile_predictions_loss: 266.0244 - logcount_predictions_loss: 0.3315 130/1106 [==>...........................] - ETA: 2:15 - loss: 269.5628 - logits_profile_predictions_loss: 266.0152 - logcount_predictions_loss: 0.3315 131/1106 [==>...........................] - ETA: 2:15 - loss: 269.5561 - logits_profile_predictions_loss: 266.0081 - logcount_predictions_loss: 0.3316 132/1106 [==>...........................] - ETA: 2:15 - loss: 269.5492 - logits_profile_predictions_loss: 266.0009 - logcount_predictions_loss: 0.3316 133/1106 [==>...........................] - ETA: 2:15 - loss: 269.5406 - logits_profile_predictions_loss: 265.9921 - logcount_predictions_loss: 0.3316 134/1106 [==>...........................] - ETA: 2:15 - loss: 269.5337 - logits_profile_predictions_loss: 265.9849 - logcount_predictions_loss: 0.3317 135/1106 [==>...........................] - ETA: 2:14 - loss: 269.5280 - logits_profile_predictions_loss: 265.9790 - logcount_predictions_loss: 0.3317 136/1106 [==>...........................] - ETA: 2:14 - loss: 269.5227 - logits_profile_predictions_loss: 265.9735 - logcount_predictions_loss: 0.3317 137/1106 [==>...........................] - ETA: 2:14 - loss: 269.5177 - logits_profile_predictions_loss: 265.9684 - logcount_predictions_loss: 0.3317 138/1106 [==>...........................] - ETA: 2:14 - loss: 269.5120 - logits_profile_predictions_loss: 265.9625 - logcount_predictions_loss: 0.3317 139/1106 [==>...........................] - ETA: 2:14 - loss: 269.5052 - logits_profile_predictions_loss: 265.9555 - logcount_predictions_loss: 0.3317 140/1106 [==>...........................] - ETA: 2:14 - loss: 269.4986 - logits_profile_predictions_loss: 265.9486 - logcount_predictions_loss: 0.3318 141/1106 [==>...........................] - ETA: 2:14 - loss: 269.4912 - logits_profile_predictions_loss: 265.9410 - logcount_predictions_loss: 0.3318 142/1106 [==>...........................] - ETA: 2:13 - loss: 269.4843 - logits_profile_predictions_loss: 265.9338 - logcount_predictions_loss: 0.3318 143/1106 [==>...........................] - ETA: 2:13 - loss: 269.4773 - logits_profile_predictions_loss: 265.9264 - logcount_predictions_loss: 0.3319 144/1106 [==>...........................] - ETA: 2:13 - loss: 269.4709 - logits_profile_predictions_loss: 265.9198 - logcount_predictions_loss: 0.3319 145/1106 [==>...........................] - ETA: 2:13 - loss: 269.4642 - logits_profile_predictions_loss: 265.9129 - logcount_predictions_loss: 0.3319 146/1106 [==>...........................] - ETA: 2:13 - loss: 269.4580 - logits_profile_predictions_loss: 265.9064 - logcount_predictions_loss: 0.3319 147/1106 [==>...........................] - ETA: 2:13 - loss: 269.4512 - logits_profile_predictions_loss: 265.8994 - logcount_predictions_loss: 0.3319 148/1106 [===>..........................] - ETA: 2:13 - loss: 269.4441 - logits_profile_predictions_loss: 265.8922 - logcount_predictions_loss: 0.3320 149/1106 [===>..........................] - ETA: 2:12 - loss: 269.4384 - logits_profile_predictions_loss: 265.8863 - logcount_predictions_loss: 0.3320 150/1106 [===>..........................] - ETA: 2:12 - loss: 269.4314 - logits_profile_predictions_loss: 265.8791 - logcount_predictions_loss: 0.3320 151/1106 [===>..........................] - ETA: 2:12 - loss: 269.4243 - logits_profile_predictions_loss: 265.8719 - logcount_predictions_loss: 0.3320 152/1106 [===>..........................] - ETA: 2:12 - loss: 269.4170 - logits_profile_predictions_loss: 265.8645 - logcount_predictions_loss: 0.3320 153/1106 [===>..........................] - ETA: 2:12 - loss: 269.4103 - logits_profile_predictions_loss: 265.8577 - logcount_predictions_loss: 0.3320 154/1106 [===>..........................] - ETA: 2:12 - loss: 269.4030 - logits_profile_predictions_loss: 265.8502 - logcount_predictions_loss: 0.3320 155/1106 [===>..........................] - ETA: 2:12 - loss: 269.3960 - logits_profile_predictions_loss: 265.8431 - logcount_predictions_loss: 0.3320 156/1106 [===>..........................] - ETA: 2:11 - loss: 269.3885 - logits_profile_predictions_loss: 265.8355 - logcount_predictions_loss: 0.3321 157/1106 [===>..........................] - ETA: 2:11 - loss: 269.3802 - logits_profile_predictions_loss: 265.8270 - logcount_predictions_loss: 0.3321 158/1106 [===>..........................] - ETA: 2:11 - loss: 269.3718 - logits_profile_predictions_loss: 265.8185 - logcount_predictions_loss: 0.3321 159/1106 [===>..........................] - ETA: 2:11 - loss: 269.3634 - logits_profile_predictions_loss: 265.8101 - logcount_predictions_loss: 0.3321 160/1106 [===>..........................] - ETA: 2:11 - loss: 269.3538 - logits_profile_predictions_loss: 265.8005 - logcount_predictions_loss: 0.3321 161/1106 [===>..........................] - ETA: 2:11 - loss: 269.3449 - logits_profile_predictions_loss: 265.7914 - logcount_predictions_loss: 0.3321 162/1106 [===>..........................] - ETA: 2:11 - loss: 269.3360 - logits_profile_predictions_loss: 265.7825 - logcount_predictions_loss: 0.3321 163/1106 [===>..........................] - ETA: 2:10 - loss: 269.3283 - logits_profile_predictions_loss: 265.7748 - logcount_predictions_loss: 0.3321 164/1106 [===>..........................] - ETA: 2:10 - loss: 269.3197 - logits_profile_predictions_loss: 265.7661 - logcount_predictions_loss: 0.3321 165/1106 [===>..........................] - ETA: 2:10 - loss: 269.3121 - logits_profile_predictions_loss: 265.7584 - logcount_predictions_loss: 0.3321 166/1106 [===>..........................] - ETA: 2:10 - loss: 269.3047 - logits_profile_predictions_loss: 265.7510 - logcount_predictions_loss: 0.3321 167/1106 [===>..........................] - ETA: 2:10 - loss: 269.2987 - logits_profile_predictions_loss: 265.7449 - logcount_predictions_loss: 0.3321 168/1106 [===>..........................] - ETA: 2:10 - loss: 269.2927 - logits_profile_predictions_loss: 265.7388 - logcount_predictions_loss: 0.3321 169/1106 [===>..........................] - ETA: 2:10 - loss: 269.2860 - logits_profile_predictions_loss: 265.7321 - logcount_predictions_loss: 0.3321 170/1106 [===>..........................] - ETA: 2:10 - loss: 269.2798 - logits_profile_predictions_loss: 265.7258 - logcount_predictions_loss: 0.3322 171/1106 [===>..........................] - ETA: 2:09 - loss: 269.2742 - logits_profile_predictions_loss: 265.7201 - logcount_predictions_loss: 0.3322 172/1106 [===>..........................] - ETA: 2:09 - loss: 269.2698 - logits_profile_predictions_loss: 265.7155 - logcount_predictions_loss: 0.3322 173/1106 [===>..........................] - ETA: 2:09 - loss: 269.2655 - logits_profile_predictions_loss: 265.7110 - logcount_predictions_loss: 0.3322 174/1106 [===>..........................] - ETA: 2:09 - loss: 269.2612 - logits_profile_predictions_loss: 265.7065 - logcount_predictions_loss: 0.3322 175/1106 [===>..........................] - ETA: 2:09 - loss: 269.2565 - logits_profile_predictions_loss: 265.7016 - logcount_predictions_loss: 0.3322 176/1106 [===>..........................] - ETA: 2:09 - loss: 269.2516 - logits_profile_predictions_loss: 265.6967 - logcount_predictions_loss: 0.3322 177/1106 [===>..........................] - ETA: 2:09 - loss: 269.2479 - logits_profile_predictions_loss: 265.6929 - logcount_predictions_loss: 0.3323 178/1106 [===>..........................] - ETA: 2:08 - loss: 269.2440 - logits_profile_predictions_loss: 265.6888 - logcount_predictions_loss: 0.3323 179/1106 [===>..........................] - ETA: 2:08 - loss: 269.2404 - logits_profile_predictions_loss: 265.6851 - logcount_predictions_loss: 0.3323 180/1106 [===>..........................] - ETA: 2:08 - loss: 269.2361 - logits_profile_predictions_loss: 265.6807 - logcount_predictions_loss: 0.3323 181/1106 [===>..........................] - ETA: 2:08 - loss: 269.2316 - logits_profile_predictions_loss: 265.6761 - logcount_predictions_loss: 0.3323 182/1106 [===>..........................] - ETA: 2:08 - loss: 269.2268 - logits_profile_predictions_loss: 265.6714 - logcount_predictions_loss: 0.3323 183/1106 [===>..........................] - ETA: 2:08 - loss: 269.2224 - logits_profile_predictions_loss: 265.6669 - logcount_predictions_loss: 0.3323 184/1106 [===>..........................] - ETA: 2:08 - loss: 269.2185 - logits_profile_predictions_loss: 265.6629 - logcount_predictions_loss: 0.3323 185/1106 [====>.........................] - ETA: 2:07 - loss: 269.2155 - logits_profile_predictions_loss: 265.6598 - logcount_predictions_loss: 0.3323 186/1106 [====>.........................] - ETA: 2:07 - loss: 269.2124 - logits_profile_predictions_loss: 265.6567 - logcount_predictions_loss: 0.3323 187/1106 [====>.........................] - ETA: 2:07 - loss: 269.2093 - logits_profile_predictions_loss: 265.6535 - logcount_predictions_loss: 0.3323 188/1106 [====>.........................] - ETA: 2:07 - loss: 269.2061 - logits_profile_predictions_loss: 265.6502 - logcount_predictions_loss: 0.3323 189/1106 [====>.........................] - ETA: 2:07 - loss: 269.2031 - logits_profile_predictions_loss: 265.6471 - logcount_predictions_loss: 0.3323 190/1106 [====>.........................] - ETA: 2:07 - loss: 269.2001 - logits_profile_predictions_loss: 265.6441 - logcount_predictions_loss: 0.3323 191/1106 [====>.........................] - ETA: 2:07 - loss: 269.1970 - logits_profile_predictions_loss: 265.6410 - logcount_predictions_loss: 0.3323 192/1106 [====>.........................] - ETA: 2:06 - loss: 269.1940 - logits_profile_predictions_loss: 265.6379 - logcount_predictions_loss: 0.3323 193/1106 [====>.........................] - ETA: 2:06 - loss: 269.1910 - logits_profile_predictions_loss: 265.6349 - logcount_predictions_loss: 0.3324 194/1106 [====>.........................] - ETA: 2:06 - loss: 269.1880 - logits_profile_predictions_loss: 265.6319 - logcount_predictions_loss: 0.3324 195/1106 [====>.........................] - ETA: 2:06 - loss: 269.1850 - logits_profile_predictions_loss: 265.6288 - logcount_predictions_loss: 0.3324 196/1106 [====>.........................] - ETA: 2:06 - loss: 269.1811 - logits_profile_predictions_loss: 265.6248 - logcount_predictions_loss: 0.3324 197/1106 [====>.........................] - ETA: 2:06 - loss: 269.1775 - logits_profile_predictions_loss: 265.6213 - logcount_predictions_loss: 0.3324 198/1106 [====>.........................] - ETA: 2:06 - loss: 269.1741 - logits_profile_predictions_loss: 265.6179 - logcount_predictions_loss: 0.3324 199/1106 [====>.........................] - ETA: 2:05 - loss: 269.1703 - logits_profile_predictions_loss: 265.6141 - logcount_predictions_loss: 0.3324 200/1106 [====>.........................] - ETA: 2:05 - loss: 269.1671 - logits_profile_predictions_loss: 265.6109 - logcount_predictions_loss: 0.3324 201/1106 [====>.........................] - ETA: 2:05 - loss: 269.1644 - logits_profile_predictions_loss: 265.6083 - logcount_predictions_loss: 0.3324 202/1106 [====>.........................] - ETA: 2:05 - loss: 269.1614 - logits_profile_predictions_loss: 265.6052 - logcount_predictions_loss: 0.3324 203/1106 [====>.........................] - ETA: 2:05 - loss: 269.1594 - logits_profile_predictions_loss: 265.6033 - logcount_predictions_loss: 0.3324 204/1106 [====>.........................] - ETA: 2:05 - loss: 269.1567 - logits_profile_predictions_loss: 265.6006 - logcount_predictions_loss: 0.3323 205/1106 [====>.........................] - ETA: 2:05 - loss: 269.1543 - logits_profile_predictions_loss: 265.5982 - logcount_predictions_loss: 0.3323 206/1106 [====>.........................] - ETA: 2:05 - loss: 269.1515 - logits_profile_predictions_loss: 265.5955 - logcount_predictions_loss: 0.3323 207/1106 [====>.........................] - ETA: 2:04 - loss: 269.1486 - logits_profile_predictions_loss: 265.5926 - logcount_predictions_loss: 0.3323 208/1106 [====>.........................] - ETA: 2:04 - loss: 269.1458 - logits_profile_predictions_loss: 265.5898 - logcount_predictions_loss: 0.3323 209/1106 [====>.........................] - ETA: 2:04 - loss: 269.1428 - logits_profile_predictions_loss: 265.5868 - logcount_predictions_loss: 0.3323 210/1106 [====>.........................] - ETA: 2:04 - loss: 269.1400 - logits_profile_predictions_loss: 265.5841 - logcount_predictions_loss: 0.3323 211/1106 [====>.........................] - ETA: 2:04 - loss: 269.1376 - logits_profile_predictions_loss: 265.5817 - logcount_predictions_loss: 0.3323 212/1106 [====>.........................] - ETA: 2:04 - loss: 269.1351 - logits_profile_predictions_loss: 265.5793 - logcount_predictions_loss: 0.3323 213/1106 [====>.........................] - ETA: 2:04 - loss: 269.1326 - logits_profile_predictions_loss: 265.5768 - logcount_predictions_loss: 0.3323 214/1106 [====>.........................] - ETA: 2:03 - loss: 269.1298 - logits_profile_predictions_loss: 265.5741 - logcount_predictions_loss: 0.3323 215/1106 [====>.........................] - ETA: 2:03 - loss: 269.1274 - logits_profile_predictions_loss: 265.5717 - logcount_predictions_loss: 0.3323 216/1106 [====>.........................] - ETA: 2:03 - loss: 269.1253 - logits_profile_predictions_loss: 265.5698 - logcount_predictions_loss: 0.3323 217/1106 [====>.........................] - ETA: 2:03 - loss: 269.1232 - logits_profile_predictions_loss: 265.5677 - logcount_predictions_loss: 0.3323 218/1106 [====>.........................] - ETA: 2:03 - loss: 269.1213 - logits_profile_predictions_loss: 265.5658 - logcount_predictions_loss: 0.3323 219/1106 [====>.........................] - ETA: 2:03 - loss: 269.1196 - logits_profile_predictions_loss: 265.5641 - logcount_predictions_loss: 0.3323 220/1106 [====>.........................] - ETA: 2:03 - loss: 269.1184 - logits_profile_predictions_loss: 265.5630 - logcount_predictions_loss: 0.3323 221/1106 [====>.........................] - ETA: 2:02 - loss: 269.1176 - logits_profile_predictions_loss: 265.5622 - logcount_predictions_loss: 0.3323 222/1106 [=====>........................] - ETA: 2:02 - loss: 269.1172 - logits_profile_predictions_loss: 265.5619 - logcount_predictions_loss: 0.3323 223/1106 [=====>........................] - ETA: 2:02 - loss: 269.1169 - logits_profile_predictions_loss: 265.5617 - logcount_predictions_loss: 0.3323 224/1106 [=====>........................] - ETA: 2:02 - loss: 269.1165 - logits_profile_predictions_loss: 265.5613 - logcount_predictions_loss: 0.3323 225/1106 [=====>........................] - ETA: 2:02 - loss: 269.1159 - logits_profile_predictions_loss: 265.5607 - logcount_predictions_loss: 0.3323 226/1106 [=====>........................] - ETA: 2:02 - loss: 269.1160 - logits_profile_predictions_loss: 265.5609 - logcount_predictions_loss: 0.3323 227/1106 [=====>........................] - ETA: 2:02 - loss: 269.1158 - logits_profile_predictions_loss: 265.5609 - logcount_predictions_loss: 0.3322 228/1106 [=====>........................] - ETA: 2:01 - loss: 269.1151 - logits_profile_predictions_loss: 265.5603 - logcount_predictions_loss: 0.3322 229/1106 [=====>........................] - ETA: 2:01 - loss: 269.1146 - logits_profile_predictions_loss: 265.5599 - logcount_predictions_loss: 0.3322 230/1106 [=====>........................] - ETA: 2:01 - loss: 269.1138 - logits_profile_predictions_loss: 265.5593 - logcount_predictions_loss: 0.3322 231/1106 [=====>........................] - ETA: 2:01 - loss: 269.1132 - logits_profile_predictions_loss: 265.5588 - logcount_predictions_loss: 0.3322 232/1106 [=====>........................] - ETA: 2:01 - loss: 269.1126 - logits_profile_predictions_loss: 265.5584 - logcount_predictions_loss: 0.3322 233/1106 [=====>........................] - ETA: 2:01 - loss: 269.1119 - logits_profile_predictions_loss: 265.5579 - logcount_predictions_loss: 0.3322 234/1106 [=====>........................] - ETA: 2:01 - loss: 269.1113 - logits_profile_predictions_loss: 265.5573 - logcount_predictions_loss: 0.3321 235/1106 [=====>........................] - ETA: 2:00 - loss: 269.1110 - logits_profile_predictions_loss: 265.5572 - logcount_predictions_loss: 0.3321 236/1106 [=====>........................] - ETA: 2:00 - loss: 269.1111 - logits_profile_predictions_loss: 265.5574 - logcount_predictions_loss: 0.3321 237/1106 [=====>........................] - ETA: 2:00 - loss: 269.1111 - logits_profile_predictions_loss: 265.5575 - logcount_predictions_loss: 0.3321 238/1106 [=====>........................] - ETA: 2:00 - loss: 269.1113 - logits_profile_predictions_loss: 265.5579 - logcount_predictions_loss: 0.3321 239/1106 [=====>........................] - ETA: 2:00 - loss: 269.1113 - logits_profile_predictions_loss: 265.5580 - logcount_predictions_loss: 0.3321 240/1106 [=====>........................] - ETA: 2:00 - loss: 269.1107 - logits_profile_predictions_loss: 265.5576 - logcount_predictions_loss: 0.3321 241/1106 [=====>........................] - ETA: 2:00 - loss: 269.1097 - logits_profile_predictions_loss: 265.5567 - logcount_predictions_loss: 0.3321 242/1106 [=====>........................] - ETA: 1:59 - loss: 269.1088 - logits_profile_predictions_loss: 265.5559 - logcount_predictions_loss: 0.3321 243/1106 [=====>........................] - ETA: 1:59 - loss: 269.1081 - logits_profile_predictions_loss: 265.5554 - logcount_predictions_loss: 0.3320 244/1106 [=====>........................] - ETA: 1:59 - loss: 269.1074 - logits_profile_predictions_loss: 265.5548 - logcount_predictions_loss: 0.3320 245/1106 [=====>........................] - ETA: 1:59 - loss: 269.1066 - logits_profile_predictions_loss: 265.5542 - logcount_predictions_loss: 0.3320 246/1106 [=====>........................] - ETA: 1:59 - loss: 269.1055 - logits_profile_predictions_loss: 265.5532 - logcount_predictions_loss: 0.3320 247/1106 [=====>........................] - ETA: 1:59 - loss: 269.1046 - logits_profile_predictions_loss: 265.5524 - logcount_predictions_loss: 0.3320 248/1106 [=====>........................] - ETA: 1:59 - loss: 269.1033 - logits_profile_predictions_loss: 265.5513 - logcount_predictions_loss: 0.3320 249/1106 [=====>........................] - ETA: 1:59 - loss: 269.1016 - logits_profile_predictions_loss: 265.5498 - logcount_predictions_loss: 0.3320 250/1106 [=====>........................] - ETA: 1:58 - loss: 269.0999 - logits_profile_predictions_loss: 265.5482 - logcount_predictions_loss: 0.3319 251/1106 [=====>........................] - ETA: 1:58 - loss: 269.0978 - logits_profile_predictions_loss: 265.5463 - logcount_predictions_loss: 0.3319 252/1106 [=====>........................] - ETA: 1:58 - loss: 269.0960 - logits_profile_predictions_loss: 265.5446 - logcount_predictions_loss: 0.3319 253/1106 [=====>........................] - ETA: 1:58 - loss: 269.0942 - logits_profile_predictions_loss: 265.5430 - logcount_predictions_loss: 0.3319 254/1106 [=====>........................] - ETA: 1:58 - loss: 269.0923 - logits_profile_predictions_loss: 265.5412 - logcount_predictions_loss: 0.3319 255/1106 [=====>........................] - ETA: 1:58 - loss: 269.0904 - 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[============================>.] - ETA: 0s - loss: 268.0521 - logits_profile_predictions_loss: 264.5670 - logcount_predictions_loss: 0.3257 1101/1106 [============================>.] - ETA: 0s - loss: 268.0513 - logits_profile_predictions_loss: 264.5663 - logcount_predictions_loss: 0.3257 1102/1106 [============================>.] - ETA: 0s - loss: 268.0505 - logits_profile_predictions_loss: 264.5656 - logcount_predictions_loss: 0.3257 1103/1106 [============================>.] - ETA: 0s - loss: 268.0497 - logits_profile_predictions_loss: 264.5648 - logcount_predictions_loss: 0.3257 1104/1106 [============================>.] - ETA: 0s - loss: 268.0489 - logits_profile_predictions_loss: 264.5641 - logcount_predictions_loss: 0.3257 1105/1106 [============================>.] - ETA: 0s - loss: 268.0482 - logits_profile_predictions_loss: 264.5634 - logcount_predictions_loss: 0.3257 1106/1106 [==============================] - ETA: 0s - loss: 268.0474 - logits_profile_predictions_loss: 264.5627 - logcount_predictions_loss: 0.3257 1106/1106 [==============================] - 160s 145ms/step - loss: 268.0466 - logits_profile_predictions_loss: 264.5619 - logcount_predictions_loss: 0.3257 - val_loss: 275.2619 - val_logits_profile_predictions_loss: 271.7171 - val_logcount_predictions_loss: 0.3313 + +Epoch 00005: val_loss improved from 275.85815 to 275.26187, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 6/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 258.9642 - logits_profile_predictions_loss: 255.4186 - logcount_predictions_loss: 0.3314 2/1106 [..............................] - ETA: 2:33 - loss: 263.5743 - logits_profile_predictions_loss: 259.7389 - logcount_predictions_loss: 0.3584 3/1106 [..............................] - ETA: 2:33 - loss: 262.3378 - logits_profile_predictions_loss: 258.4808 - logcount_predictions_loss: 0.3605 4/1106 [..............................] - ETA: 2:33 - loss: 262.0971 - logits_profile_predictions_loss: 258.3311 - logcount_predictions_loss: 0.3520 5/1106 [..............................] - ETA: 2:33 - loss: 261.7945 - logits_profile_predictions_loss: 258.1261 - logcount_predictions_loss: 0.3428 6/1106 [..............................] - ETA: 2:32 - loss: 262.3350 - logits_profile_predictions_loss: 258.7213 - logcount_predictions_loss: 0.3377 7/1106 [..............................] - ETA: 2:32 - loss: 262.7844 - logits_profile_predictions_loss: 259.2099 - logcount_predictions_loss: 0.3341 8/1106 [..............................] - ETA: 2:32 - loss: 263.3270 - logits_profile_predictions_loss: 259.7851 - logcount_predictions_loss: 0.3310 9/1106 [..............................] - ETA: 2:32 - loss: 263.6137 - logits_profile_predictions_loss: 260.1063 - logcount_predictions_loss: 0.3278 10/1106 [..............................] - ETA: 2:32 - loss: 263.6491 - logits_profile_predictions_loss: 260.1803 - logcount_predictions_loss: 0.3242 11/1106 [..............................] - ETA: 2:32 - loss: 263.6591 - logits_profile_predictions_loss: 260.2166 - logcount_predictions_loss: 0.3217 12/1106 [..............................] - ETA: 2:31 - loss: 263.7094 - logits_profile_predictions_loss: 260.2904 - logcount_predictions_loss: 0.3195 13/1106 [..............................] - ETA: 2:31 - loss: 263.8329 - logits_profile_predictions_loss: 260.4357 - logcount_predictions_loss: 0.3175 14/1106 [..............................] - ETA: 2:31 - loss: 263.9906 - logits_profile_predictions_loss: 260.6132 - logcount_predictions_loss: 0.3156 15/1106 [..............................] - ETA: 2:31 - loss: 264.2037 - logits_profile_predictions_loss: 260.8451 - logcount_predictions_loss: 0.3139 16/1106 [..............................] - ETA: 2:31 - loss: 264.4980 - logits_profile_predictions_loss: 261.1554 - logcount_predictions_loss: 0.3124 17/1106 [..............................] - ETA: 2:31 - loss: 264.7358 - logits_profile_predictions_loss: 261.4057 - logcount_predictions_loss: 0.3112 18/1106 [..............................] - ETA: 2:31 - loss: 264.9532 - logits_profile_predictions_loss: 261.6295 - logcount_predictions_loss: 0.3106 19/1106 [..............................] - ETA: 2:30 - loss: 265.2450 - logits_profile_predictions_loss: 261.9298 - logcount_predictions_loss: 0.3098 20/1106 [..............................] - ETA: 2:30 - loss: 265.4437 - logits_profile_predictions_loss: 262.1373 - logcount_predictions_loss: 0.3090 21/1106 [..............................] - ETA: 2:30 - loss: 265.6483 - logits_profile_predictions_loss: 262.3493 - logcount_predictions_loss: 0.3083 22/1106 [..............................] - ETA: 2:30 - loss: 265.8058 - logits_profile_predictions_loss: 262.5149 - logcount_predictions_loss: 0.3076 23/1106 [..............................] - ETA: 2:30 - loss: 265.9870 - logits_profile_predictions_loss: 262.7040 - logcount_predictions_loss: 0.3068 24/1106 [..............................] - ETA: 2:30 - loss: 266.0982 - logits_profile_predictions_loss: 262.8234 - logcount_predictions_loss: 0.3061 25/1106 [..............................] - ETA: 2:30 - loss: 266.2098 - logits_profile_predictions_loss: 262.9412 - logcount_predictions_loss: 0.3055 26/1106 [..............................] - ETA: 2:29 - loss: 266.3099 - logits_profile_predictions_loss: 263.0466 - logcount_predictions_loss: 0.3050 27/1106 [..............................] - ETA: 2:29 - loss: 266.3766 - logits_profile_predictions_loss: 263.1178 - logcount_predictions_loss: 0.3046 28/1106 [..............................] - ETA: 2:29 - loss: 266.4240 - logits_profile_predictions_loss: 263.1690 - logcount_predictions_loss: 0.3042 29/1106 [..............................] - ETA: 2:29 - loss: 266.4496 - logits_profile_predictions_loss: 263.1974 - logcount_predictions_loss: 0.3039 30/1106 [..............................] - ETA: 2:29 - loss: 266.4491 - logits_profile_predictions_loss: 263.1996 - logcount_predictions_loss: 0.3037 31/1106 [..............................] - ETA: 2:29 - loss: 266.4661 - logits_profile_predictions_loss: 263.2191 - logcount_predictions_loss: 0.3035 32/1106 [..............................] - ETA: 2:29 - loss: 266.4801 - logits_profile_predictions_loss: 263.2345 - logcount_predictions_loss: 0.3033 33/1106 [..............................] - ETA: 2:28 - loss: 266.5085 - logits_profile_predictions_loss: 263.2637 - logcount_predictions_loss: 0.3033 34/1106 [..............................] - ETA: 2:28 - loss: 266.5419 - logits_profile_predictions_loss: 263.2981 - logcount_predictions_loss: 0.3032 35/1106 [..............................] - ETA: 2:28 - loss: 266.5785 - logits_profile_predictions_loss: 263.3350 - logcount_predictions_loss: 0.3031 36/1106 [..............................] - ETA: 2:28 - loss: 266.5969 - logits_profile_predictions_loss: 263.3536 - logcount_predictions_loss: 0.3031 37/1106 [>.............................] - ETA: 2:28 - loss: 266.6180 - logits_profile_predictions_loss: 263.3755 - logcount_predictions_loss: 0.3030 38/1106 [>.............................] - ETA: 2:28 - loss: 266.6366 - logits_profile_predictions_loss: 263.3941 - logcount_predictions_loss: 0.3030 39/1106 [>.............................] - ETA: 2:28 - loss: 266.6548 - logits_profile_predictions_loss: 263.4122 - logcount_predictions_loss: 0.3031 40/1106 [>.............................] - ETA: 2:27 - loss: 266.6691 - logits_profile_predictions_loss: 263.4267 - logcount_predictions_loss: 0.3030 41/1106 [>.............................] - ETA: 2:27 - loss: 266.6739 - logits_profile_predictions_loss: 263.4315 - logcount_predictions_loss: 0.3030 42/1106 [>.............................] - ETA: 2:27 - loss: 266.6889 - logits_profile_predictions_loss: 263.4460 - logcount_predictions_loss: 0.3031 43/1106 [>.............................] - ETA: 2:27 - loss: 266.6989 - logits_profile_predictions_loss: 263.4560 - logcount_predictions_loss: 0.3031 44/1106 [>.............................] - ETA: 2:27 - loss: 266.7074 - logits_profile_predictions_loss: 263.4647 - logcount_predictions_loss: 0.3031 45/1106 [>.............................] - ETA: 2:27 - loss: 266.7251 - logits_profile_predictions_loss: 263.4826 - logcount_predictions_loss: 0.3030 46/1106 [>.............................] - ETA: 2:27 - loss: 266.7468 - logits_profile_predictions_loss: 263.5046 - logcount_predictions_loss: 0.3030 47/1106 [>.............................] - ETA: 2:26 - loss: 266.7775 - logits_profile_predictions_loss: 263.5354 - logcount_predictions_loss: 0.3030 48/1106 [>.............................] - ETA: 2:26 - loss: 266.8032 - logits_profile_predictions_loss: 263.5611 - logcount_predictions_loss: 0.3030 49/1106 [>.............................] - ETA: 2:26 - loss: 266.8290 - logits_profile_predictions_loss: 263.5868 - logcount_predictions_loss: 0.3030 50/1106 [>.............................] - ETA: 2:26 - loss: 266.8518 - logits_profile_predictions_loss: 263.6096 - logcount_predictions_loss: 0.3030 51/1106 [>.............................] - ETA: 2:26 - loss: 266.8708 - logits_profile_predictions_loss: 263.6285 - logcount_predictions_loss: 0.3030 52/1106 [>.............................] - ETA: 2:26 - loss: 266.8840 - logits_profile_predictions_loss: 263.6420 - logcount_predictions_loss: 0.3030 53/1106 [>.............................] - ETA: 2:26 - loss: 266.8954 - logits_profile_predictions_loss: 263.6536 - logcount_predictions_loss: 0.3030 54/1106 [>.............................] - ETA: 2:25 - loss: 266.9113 - logits_profile_predictions_loss: 263.6695 - logcount_predictions_loss: 0.3030 55/1106 [>.............................] - ETA: 2:25 - loss: 266.9221 - logits_profile_predictions_loss: 263.6805 - logcount_predictions_loss: 0.3030 56/1106 [>.............................] - ETA: 2:25 - loss: 266.9330 - logits_profile_predictions_loss: 263.6917 - logcount_predictions_loss: 0.3029 57/1106 [>.............................] - ETA: 2:25 - loss: 266.9433 - logits_profile_predictions_loss: 263.7023 - logcount_predictions_loss: 0.3029 58/1106 [>.............................] - ETA: 2:25 - loss: 266.9606 - logits_profile_predictions_loss: 263.7200 - logcount_predictions_loss: 0.3029 59/1106 [>.............................] - ETA: 2:25 - loss: 266.9859 - logits_profile_predictions_loss: 263.7459 - logcount_predictions_loss: 0.3028 60/1106 [>.............................] - ETA: 2:25 - loss: 267.0120 - logits_profile_predictions_loss: 263.7725 - logcount_predictions_loss: 0.3028 61/1106 [>.............................] - ETA: 2:24 - loss: 267.0294 - logits_profile_predictions_loss: 263.7905 - logcount_predictions_loss: 0.3027 62/1106 [>.............................] - ETA: 2:24 - loss: 267.0426 - logits_profile_predictions_loss: 263.8042 - logcount_predictions_loss: 0.3027 63/1106 [>.............................] - ETA: 2:24 - loss: 267.0562 - logits_profile_predictions_loss: 263.8183 - logcount_predictions_loss: 0.3026 64/1106 [>.............................] - ETA: 2:24 - loss: 267.0713 - logits_profile_predictions_loss: 263.8340 - logcount_predictions_loss: 0.3025 65/1106 [>.............................] - ETA: 2:24 - loss: 267.0870 - logits_profile_predictions_loss: 263.8505 - logcount_predictions_loss: 0.3025 66/1106 [>.............................] - ETA: 2:24 - loss: 267.0992 - logits_profile_predictions_loss: 263.8635 - logcount_predictions_loss: 0.3024 67/1106 [>.............................] - ETA: 2:24 - loss: 267.1091 - logits_profile_predictions_loss: 263.8741 - logcount_predictions_loss: 0.3023 68/1106 [>.............................] - ETA: 2:23 - loss: 267.1163 - logits_profile_predictions_loss: 263.8820 - logcount_predictions_loss: 0.3023 69/1106 [>.............................] - ETA: 2:23 - loss: 267.1261 - logits_profile_predictions_loss: 263.8924 - logcount_predictions_loss: 0.3022 70/1106 [>.............................] - ETA: 2:23 - 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77/1106 [=>............................] - ETA: 2:22 - loss: 267.2937 - logits_profile_predictions_loss: 264.0625 - logcount_predictions_loss: 0.3020 78/1106 [=>............................] - ETA: 2:22 - loss: 267.3166 - logits_profile_predictions_loss: 264.0855 - logcount_predictions_loss: 0.3020 79/1106 [=>............................] - ETA: 2:22 - loss: 267.3414 - logits_profile_predictions_loss: 264.1103 - logcount_predictions_loss: 0.3020 80/1106 [=>............................] - ETA: 2:22 - loss: 267.3663 - logits_profile_predictions_loss: 264.1353 - logcount_predictions_loss: 0.3020 81/1106 [=>............................] - ETA: 2:22 - loss: 267.3940 - logits_profile_predictions_loss: 264.1631 - logcount_predictions_loss: 0.3020 82/1106 [=>............................] - ETA: 2:22 - loss: 267.4199 - logits_profile_predictions_loss: 264.1890 - logcount_predictions_loss: 0.3020 83/1106 [=>............................] - ETA: 2:21 - loss: 267.4428 - logits_profile_predictions_loss: 264.2119 - logcount_predictions_loss: 0.3020 84/1106 [=>............................] - ETA: 2:21 - loss: 267.4615 - logits_profile_predictions_loss: 264.2306 - logcount_predictions_loss: 0.3020 85/1106 [=>............................] - ETA: 2:21 - loss: 267.4781 - logits_profile_predictions_loss: 264.2472 - logcount_predictions_loss: 0.3020 86/1106 [=>............................] - ETA: 2:21 - loss: 267.4941 - logits_profile_predictions_loss: 264.2633 - logcount_predictions_loss: 0.3020 87/1106 [=>............................] - ETA: 2:21 - loss: 267.5103 - logits_profile_predictions_loss: 264.2796 - logcount_predictions_loss: 0.3019 88/1106 [=>............................] - ETA: 2:21 - loss: 267.5278 - logits_profile_predictions_loss: 264.2969 - logcount_predictions_loss: 0.3020 89/1106 [=>............................] - ETA: 2:21 - loss: 267.5404 - logits_profile_predictions_loss: 264.3094 - logcount_predictions_loss: 0.3020 90/1106 [=>............................] - ETA: 2:20 - loss: 267.5525 - logits_profile_predictions_loss: 264.3214 - logcount_predictions_loss: 0.3020 91/1106 [=>............................] - ETA: 2:20 - loss: 267.5631 - logits_profile_predictions_loss: 264.3319 - logcount_predictions_loss: 0.3020 92/1106 [=>............................] - ETA: 2:20 - loss: 267.5724 - logits_profile_predictions_loss: 264.3411 - logcount_predictions_loss: 0.3020 93/1106 [=>............................] - ETA: 2:20 - loss: 267.5811 - logits_profile_predictions_loss: 264.3496 - logcount_predictions_loss: 0.3020 94/1106 [=>............................] - ETA: 2:20 - loss: 267.5894 - logits_profile_predictions_loss: 264.3575 - logcount_predictions_loss: 0.3020 95/1106 [=>............................] - ETA: 2:20 - loss: 267.5967 - logits_profile_predictions_loss: 264.3645 - logcount_predictions_loss: 0.3021 96/1106 [=>............................] - ETA: 2:20 - loss: 267.6042 - logits_profile_predictions_loss: 264.3716 - logcount_predictions_loss: 0.3021 97/1106 [=>............................] - ETA: 2:19 - loss: 267.6123 - logits_profile_predictions_loss: 264.3792 - logcount_predictions_loss: 0.3022 98/1106 [=>............................] - ETA: 2:19 - loss: 267.6181 - logits_profile_predictions_loss: 264.3844 - logcount_predictions_loss: 0.3022 99/1106 [=>............................] - ETA: 2:19 - loss: 267.6205 - logits_profile_predictions_loss: 264.3864 - logcount_predictions_loss: 0.3023 100/1106 [=>............................] - ETA: 2:19 - loss: 267.6247 - logits_profile_predictions_loss: 264.3898 - logcount_predictions_loss: 0.3023 101/1106 [=>............................] - ETA: 2:19 - loss: 267.6293 - logits_profile_predictions_loss: 264.3936 - logcount_predictions_loss: 0.3024 102/1106 [=>............................] - ETA: 2:19 - loss: 267.6348 - logits_profile_predictions_loss: 264.3983 - logcount_predictions_loss: 0.3025 103/1106 [=>............................] - ETA: 2:19 - loss: 267.6395 - logits_profile_predictions_loss: 264.4024 - logcount_predictions_loss: 0.3025 104/1106 [=>............................] - ETA: 2:18 - loss: 267.6438 - logits_profile_predictions_loss: 264.4058 - logcount_predictions_loss: 0.3026 105/1106 [=>............................] - ETA: 2:18 - loss: 267.6501 - logits_profile_predictions_loss: 264.4114 - logcount_predictions_loss: 0.3027 106/1106 [=>............................] - ETA: 2:18 - loss: 267.6569 - logits_profile_predictions_loss: 264.4174 - logcount_predictions_loss: 0.3028 107/1106 [=>............................] - ETA: 2:18 - loss: 267.6643 - logits_profile_predictions_loss: 264.4239 - logcount_predictions_loss: 0.3028 108/1106 [=>............................] - ETA: 2:18 - loss: 267.6733 - logits_profile_predictions_loss: 264.4319 - logcount_predictions_loss: 0.3029 109/1106 [=>............................] - ETA: 2:18 - loss: 267.6816 - logits_profile_predictions_loss: 264.4392 - logcount_predictions_loss: 0.3030 110/1106 [=>............................] - ETA: 2:18 - loss: 267.6873 - logits_profile_predictions_loss: 264.4438 - logcount_predictions_loss: 0.3031 111/1106 [==>...........................] - ETA: 2:17 - loss: 267.6909 - logits_profile_predictions_loss: 264.4464 - logcount_predictions_loss: 0.3032 112/1106 [==>...........................] - ETA: 2:17 - loss: 267.6933 - logits_profile_predictions_loss: 264.4479 - logcount_predictions_loss: 0.3033 113/1106 [==>...........................] - ETA: 2:17 - loss: 267.6954 - logits_profile_predictions_loss: 264.4490 - logcount_predictions_loss: 0.3034 114/1106 [==>...........................] - ETA: 2:17 - loss: 267.6983 - logits_profile_predictions_loss: 264.4510 - logcount_predictions_loss: 0.3035 115/1106 [==>...........................] - ETA: 2:17 - loss: 267.7000 - logits_profile_predictions_loss: 264.4518 - logcount_predictions_loss: 0.3036 116/1106 [==>...........................] - ETA: 2:17 - loss: 267.7009 - logits_profile_predictions_loss: 264.4517 - logcount_predictions_loss: 0.3037 117/1106 [==>...........................] - ETA: 2:17 - loss: 267.7022 - logits_profile_predictions_loss: 264.4521 - logcount_predictions_loss: 0.3038 118/1106 [==>...........................] - ETA: 2:16 - loss: 267.7035 - logits_profile_predictions_loss: 264.4525 - logcount_predictions_loss: 0.3038 119/1106 [==>...........................] - ETA: 2:16 - loss: 267.7050 - logits_profile_predictions_loss: 264.4531 - logcount_predictions_loss: 0.3039 120/1106 [==>...........................] - ETA: 2:16 - loss: 267.7071 - logits_profile_predictions_loss: 264.4542 - logcount_predictions_loss: 0.3040 121/1106 [==>...........................] - ETA: 2:16 - loss: 267.7076 - logits_profile_predictions_loss: 264.4538 - logcount_predictions_loss: 0.3041 122/1106 [==>...........................] - ETA: 2:16 - loss: 267.7093 - logits_profile_predictions_loss: 264.4544 - logcount_predictions_loss: 0.3042 123/1106 [==>...........................] - ETA: 2:16 - loss: 267.7094 - logits_profile_predictions_loss: 264.4536 - logcount_predictions_loss: 0.3043 124/1106 [==>...........................] - ETA: 2:16 - loss: 267.7103 - logits_profile_predictions_loss: 264.4536 - logcount_predictions_loss: 0.3044 125/1106 [==>...........................] - ETA: 2:16 - loss: 267.7106 - logits_profile_predictions_loss: 264.4530 - logcount_predictions_loss: 0.3045 126/1106 [==>...........................] - ETA: 2:15 - loss: 267.7108 - logits_profile_predictions_loss: 264.4523 - logcount_predictions_loss: 0.3045 127/1106 [==>...........................] - ETA: 2:15 - loss: 267.7124 - logits_profile_predictions_loss: 264.4530 - logcount_predictions_loss: 0.3046 128/1106 [==>...........................] - ETA: 2:15 - loss: 267.7131 - logits_profile_predictions_loss: 264.4527 - logcount_predictions_loss: 0.3047 129/1106 [==>...........................] - ETA: 2:15 - loss: 267.7139 - logits_profile_predictions_loss: 264.4526 - logcount_predictions_loss: 0.3048 130/1106 [==>...........................] - ETA: 2:15 - loss: 267.7160 - logits_profile_predictions_loss: 264.4538 - logcount_predictions_loss: 0.3049 131/1106 [==>...........................] - ETA: 2:15 - loss: 267.7188 - logits_profile_predictions_loss: 264.4557 - logcount_predictions_loss: 0.3050 132/1106 [==>...........................] - ETA: 2:15 - loss: 267.7234 - logits_profile_predictions_loss: 264.4595 - logcount_predictions_loss: 0.3050 133/1106 [==>...........................] - ETA: 2:14 - loss: 267.7274 - logits_profile_predictions_loss: 264.4628 - logcount_predictions_loss: 0.3051 134/1106 [==>...........................] - ETA: 2:14 - loss: 267.7310 - logits_profile_predictions_loss: 264.4656 - logcount_predictions_loss: 0.3052 135/1106 [==>...........................] - ETA: 2:14 - loss: 267.7338 - logits_profile_predictions_loss: 264.4677 - logcount_predictions_loss: 0.3052 136/1106 [==>...........................] - ETA: 2:14 - loss: 267.7379 - logits_profile_predictions_loss: 264.4710 - logcount_predictions_loss: 0.3053 137/1106 [==>...........................] - ETA: 2:14 - loss: 267.7420 - logits_profile_predictions_loss: 264.4744 - logcount_predictions_loss: 0.3054 138/1106 [==>...........................] - ETA: 2:14 - loss: 267.7458 - logits_profile_predictions_loss: 264.4774 - logcount_predictions_loss: 0.3055 139/1106 [==>...........................] - ETA: 2:14 - loss: 267.7490 - logits_profile_predictions_loss: 264.4799 - logcount_predictions_loss: 0.3055 140/1106 [==>...........................] - ETA: 2:13 - loss: 267.7512 - logits_profile_predictions_loss: 264.4813 - logcount_predictions_loss: 0.3056 141/1106 [==>...........................] - ETA: 2:13 - loss: 267.7538 - logits_profile_predictions_loss: 264.4832 - logcount_predictions_loss: 0.3057 142/1106 [==>...........................] - ETA: 2:13 - loss: 267.7553 - logits_profile_predictions_loss: 264.4840 - logcount_predictions_loss: 0.3057 143/1106 [==>...........................] - ETA: 2:13 - loss: 267.7557 - logits_profile_predictions_loss: 264.4837 - logcount_predictions_loss: 0.3058 144/1106 [==>...........................] - ETA: 2:13 - loss: 267.7564 - logits_profile_predictions_loss: 264.4837 - logcount_predictions_loss: 0.3059 145/1106 [==>...........................] - ETA: 2:13 - loss: 267.7579 - logits_profile_predictions_loss: 264.4845 - logcount_predictions_loss: 0.3059 146/1106 [==>...........................] - ETA: 2:13 - loss: 267.7603 - logits_profile_predictions_loss: 264.4863 - logcount_predictions_loss: 0.3060 147/1106 [==>...........................] - ETA: 2:12 - loss: 267.7612 - logits_profile_predictions_loss: 264.4866 - logcount_predictions_loss: 0.3060 148/1106 [===>..........................] - ETA: 2:12 - loss: 267.7627 - logits_profile_predictions_loss: 264.4875 - logcount_predictions_loss: 0.3061 149/1106 [===>..........................] - ETA: 2:12 - loss: 267.7646 - logits_profile_predictions_loss: 264.4889 - logcount_predictions_loss: 0.3061 150/1106 [===>..........................] - ETA: 2:12 - loss: 267.7656 - logits_profile_predictions_loss: 264.4894 - logcount_predictions_loss: 0.3062 151/1106 [===>..........................] - ETA: 2:12 - loss: 267.7681 - logits_profile_predictions_loss: 264.4914 - logcount_predictions_loss: 0.3062 152/1106 [===>..........................] - ETA: 2:12 - loss: 267.7705 - logits_profile_predictions_loss: 264.4932 - logcount_predictions_loss: 0.3063 153/1106 [===>..........................] - ETA: 2:12 - loss: 267.7726 - logits_profile_predictions_loss: 264.4948 - logcount_predictions_loss: 0.3063 154/1106 [===>..........................] - ETA: 2:12 - loss: 267.7748 - logits_profile_predictions_loss: 264.4964 - logcount_predictions_loss: 0.3064 155/1106 [===>..........................] - ETA: 2:11 - loss: 267.7769 - logits_profile_predictions_loss: 264.4980 - logcount_predictions_loss: 0.3064 156/1106 [===>..........................] - ETA: 2:11 - loss: 267.7790 - logits_profile_predictions_loss: 264.4996 - logcount_predictions_loss: 0.3065 157/1106 [===>..........................] - ETA: 2:11 - loss: 267.7817 - logits_profile_predictions_loss: 264.5018 - logcount_predictions_loss: 0.3065 158/1106 [===>..........................] - ETA: 2:11 - loss: 267.7847 - logits_profile_predictions_loss: 264.5043 - logcount_predictions_loss: 0.3066 159/1106 [===>..........................] - ETA: 2:11 - loss: 267.7868 - logits_profile_predictions_loss: 264.5059 - logcount_predictions_loss: 0.3066 160/1106 [===>..........................] - ETA: 2:11 - loss: 267.7884 - logits_profile_predictions_loss: 264.5070 - logcount_predictions_loss: 0.3067 161/1106 [===>..........................] - ETA: 2:11 - loss: 267.7888 - logits_profile_predictions_loss: 264.5070 - logcount_predictions_loss: 0.3067 162/1106 [===>..........................] - ETA: 2:10 - loss: 267.7886 - logits_profile_predictions_loss: 264.5062 - logcount_predictions_loss: 0.3068 163/1106 [===>..........................] - ETA: 2:10 - loss: 267.7892 - logits_profile_predictions_loss: 264.5064 - logcount_predictions_loss: 0.3068 164/1106 [===>..........................] - ETA: 2:10 - loss: 267.7894 - logits_profile_predictions_loss: 264.5061 - logcount_predictions_loss: 0.3068 165/1106 [===>..........................] - ETA: 2:10 - loss: 267.7890 - logits_profile_predictions_loss: 264.5052 - logcount_predictions_loss: 0.3069 166/1106 [===>..........................] - ETA: 2:10 - loss: 267.7884 - logits_profile_predictions_loss: 264.5041 - logcount_predictions_loss: 0.3069 167/1106 [===>..........................] - ETA: 2:10 - loss: 267.7876 - logits_profile_predictions_loss: 264.5029 - logcount_predictions_loss: 0.3070 168/1106 [===>..........................] - ETA: 2:10 - loss: 267.7862 - logits_profile_predictions_loss: 264.5009 - logcount_predictions_loss: 0.3070 169/1106 [===>..........................] - ETA: 2:09 - loss: 267.7844 - logits_profile_predictions_loss: 264.4988 - logcount_predictions_loss: 0.3071 170/1106 [===>..........................] - ETA: 2:09 - loss: 267.7833 - logits_profile_predictions_loss: 264.4971 - logcount_predictions_loss: 0.3071 171/1106 [===>..........................] - ETA: 2:09 - loss: 267.7813 - logits_profile_predictions_loss: 264.4947 - logcount_predictions_loss: 0.3072 172/1106 [===>..........................] - ETA: 2:09 - loss: 267.7789 - logits_profile_predictions_loss: 264.4919 - logcount_predictions_loss: 0.3072 173/1106 [===>..........................] - ETA: 2:09 - loss: 267.7759 - logits_profile_predictions_loss: 264.4884 - logcount_predictions_loss: 0.3072 174/1106 [===>..........................] - ETA: 2:09 - loss: 267.7731 - logits_profile_predictions_loss: 264.4852 - logcount_predictions_loss: 0.3073 175/1106 [===>..........................] - ETA: 2:09 - loss: 267.7701 - logits_profile_predictions_loss: 264.4818 - logcount_predictions_loss: 0.3073 176/1106 [===>..........................] - ETA: 2:09 - loss: 267.7676 - logits_profile_predictions_loss: 264.4789 - logcount_predictions_loss: 0.3073 177/1106 [===>..........................] - ETA: 2:08 - loss: 267.7644 - logits_profile_predictions_loss: 264.4754 - logcount_predictions_loss: 0.3074 178/1106 [===>..........................] - ETA: 2:08 - loss: 267.7611 - logits_profile_predictions_loss: 264.4718 - logcount_predictions_loss: 0.3074 179/1106 [===>..........................] - ETA: 2:08 - loss: 267.7582 - logits_profile_predictions_loss: 264.4685 - logcount_predictions_loss: 0.3074 180/1106 [===>..........................] - ETA: 2:08 - loss: 267.7549 - logits_profile_predictions_loss: 264.4650 - logcount_predictions_loss: 0.3075 181/1106 [===>..........................] - ETA: 2:08 - loss: 267.7510 - logits_profile_predictions_loss: 264.4607 - logcount_predictions_loss: 0.3075 182/1106 [===>..........................] - ETA: 2:08 - loss: 267.7466 - logits_profile_predictions_loss: 264.4560 - logcount_predictions_loss: 0.3075 183/1106 [===>..........................] - ETA: 2:08 - loss: 267.7427 - logits_profile_predictions_loss: 264.4519 - logcount_predictions_loss: 0.3076 184/1106 [===>..........................] - ETA: 2:07 - loss: 267.7380 - logits_profile_predictions_loss: 264.4469 - logcount_predictions_loss: 0.3076 185/1106 [====>.........................] - ETA: 2:07 - loss: 267.7340 - logits_profile_predictions_loss: 264.4426 - logcount_predictions_loss: 0.3076 186/1106 [====>.........................] - ETA: 2:07 - loss: 267.7298 - logits_profile_predictions_loss: 264.4382 - logcount_predictions_loss: 0.3076 187/1106 [====>.........................] - ETA: 2:07 - loss: 267.7254 - logits_profile_predictions_loss: 264.4335 - logcount_predictions_loss: 0.3076 188/1106 [====>.........................] - ETA: 2:07 - loss: 267.7201 - logits_profile_predictions_loss: 264.4280 - logcount_predictions_loss: 0.3077 189/1106 [====>.........................] - ETA: 2:07 - loss: 267.7147 - logits_profile_predictions_loss: 264.4224 - logcount_predictions_loss: 0.3077 190/1106 [====>.........................] - ETA: 2:07 - loss: 267.7090 - logits_profile_predictions_loss: 264.4166 - logcount_predictions_loss: 0.3077 191/1106 [====>.........................] - ETA: 2:06 - loss: 267.7033 - logits_profile_predictions_loss: 264.4107 - logcount_predictions_loss: 0.3077 192/1106 [====>.........................] - ETA: 2:06 - loss: 267.6976 - logits_profile_predictions_loss: 264.4048 - logcount_predictions_loss: 0.3077 193/1106 [====>.........................] - ETA: 2:06 - loss: 267.6924 - logits_profile_predictions_loss: 264.3995 - logcount_predictions_loss: 0.3078 194/1106 [====>.........................] - ETA: 2:06 - loss: 267.6876 - logits_profile_predictions_loss: 264.3944 - logcount_predictions_loss: 0.3078 195/1106 [====>.........................] - ETA: 2:06 - loss: 267.6826 - logits_profile_predictions_loss: 264.3892 - logcount_predictions_loss: 0.3078 196/1106 [====>.........................] - ETA: 2:06 - loss: 267.6775 - logits_profile_predictions_loss: 264.3839 - logcount_predictions_loss: 0.3078 197/1106 [====>.........................] - ETA: 2:06 - loss: 267.6730 - logits_profile_predictions_loss: 264.3792 - logcount_predictions_loss: 0.3078 198/1106 [====>.........................] - ETA: 2:05 - loss: 267.6689 - logits_profile_predictions_loss: 264.3749 - logcount_predictions_loss: 0.3078 199/1106 [====>.........................] - ETA: 2:05 - loss: 267.6643 - logits_profile_predictions_loss: 264.3701 - logcount_predictions_loss: 0.3079 200/1106 [====>.........................] - ETA: 2:05 - loss: 267.6600 - logits_profile_predictions_loss: 264.3655 - logcount_predictions_loss: 0.3079 201/1106 [====>.........................] - ETA: 2:05 - loss: 267.6564 - logits_profile_predictions_loss: 264.3617 - logcount_predictions_loss: 0.3079 202/1106 [====>.........................] - ETA: 2:05 - loss: 267.6532 - logits_profile_predictions_loss: 264.3584 - logcount_predictions_loss: 0.3079 203/1106 [====>.........................] - ETA: 2:05 - loss: 267.6493 - logits_profile_predictions_loss: 264.3543 - logcount_predictions_loss: 0.3079 204/1106 [====>.........................] - ETA: 2:05 - loss: 267.6447 - logits_profile_predictions_loss: 264.3495 - logcount_predictions_loss: 0.3080 205/1106 [====>.........................] - ETA: 2:04 - loss: 267.6397 - logits_profile_predictions_loss: 264.3443 - logcount_predictions_loss: 0.3080 206/1106 [====>.........................] - ETA: 2:04 - loss: 267.6347 - logits_profile_predictions_loss: 264.3391 - logcount_predictions_loss: 0.3080 207/1106 [====>.........................] - ETA: 2:04 - loss: 267.6297 - logits_profile_predictions_loss: 264.3339 - logcount_predictions_loss: 0.3080 208/1106 [====>.........................] - ETA: 2:04 - loss: 267.6245 - logits_profile_predictions_loss: 264.3285 - logcount_predictions_loss: 0.3080 209/1106 [====>.........................] - ETA: 2:04 - loss: 267.6194 - logits_profile_predictions_loss: 264.3232 - logcount_predictions_loss: 0.3081 210/1106 [====>.........................] - ETA: 2:04 - loss: 267.6145 - logits_profile_predictions_loss: 264.3181 - logcount_predictions_loss: 0.3081 211/1106 [====>.........................] - ETA: 2:04 - loss: 267.6096 - logits_profile_predictions_loss: 264.3130 - logcount_predictions_loss: 0.3081 212/1106 [====>.........................] - ETA: 2:04 - loss: 267.6050 - logits_profile_predictions_loss: 264.3082 - logcount_predictions_loss: 0.3081 213/1106 [====>.........................] - ETA: 2:03 - loss: 267.6005 - logits_profile_predictions_loss: 264.3035 - logcount_predictions_loss: 0.3081 214/1106 [====>.........................] - ETA: 2:03 - loss: 267.5957 - logits_profile_predictions_loss: 264.2986 - logcount_predictions_loss: 0.3081 215/1106 [====>.........................] - ETA: 2:03 - loss: 267.5918 - logits_profile_predictions_loss: 264.2945 - logcount_predictions_loss: 0.3082 216/1106 [====>.........................] - ETA: 2:03 - loss: 267.5879 - logits_profile_predictions_loss: 264.2905 - logcount_predictions_loss: 0.3082 217/1106 [====>.........................] - ETA: 2:03 - loss: 267.5840 - logits_profile_predictions_loss: 264.2865 - logcount_predictions_loss: 0.3082 218/1106 [====>.........................] - ETA: 2:03 - loss: 267.5797 - logits_profile_predictions_loss: 264.2821 - logcount_predictions_loss: 0.3082 219/1106 [====>.........................] - ETA: 2:03 - loss: 267.5755 - logits_profile_predictions_loss: 264.2778 - logcount_predictions_loss: 0.3082 220/1106 [====>.........................] - ETA: 2:02 - loss: 267.5718 - logits_profile_predictions_loss: 264.2740 - logcount_predictions_loss: 0.3082 221/1106 [====>.........................] - ETA: 2:02 - loss: 267.5679 - logits_profile_predictions_loss: 264.2699 - logcount_predictions_loss: 0.3082 222/1106 [=====>........................] - ETA: 2:02 - loss: 267.5636 - logits_profile_predictions_loss: 264.2656 - logcount_predictions_loss: 0.3082 223/1106 [=====>........................] - ETA: 2:02 - loss: 267.5592 - logits_profile_predictions_loss: 264.2611 - logcount_predictions_loss: 0.3082 224/1106 [=====>........................] - ETA: 2:02 - loss: 267.5551 - logits_profile_predictions_loss: 264.2569 - logcount_predictions_loss: 0.3082 225/1106 [=====>........................] - ETA: 2:02 - loss: 267.5508 - logits_profile_predictions_loss: 264.2525 - logcount_predictions_loss: 0.3082 226/1106 [=====>........................] - ETA: 2:02 - loss: 267.5466 - logits_profile_predictions_loss: 264.2482 - logcount_predictions_loss: 0.3083 227/1106 [=====>........................] - ETA: 2:01 - loss: 267.5426 - logits_profile_predictions_loss: 264.2442 - logcount_predictions_loss: 0.3083 228/1106 [=====>........................] - ETA: 2:01 - loss: 267.5379 - logits_profile_predictions_loss: 264.2394 - logcount_predictions_loss: 0.3083 229/1106 [=====>........................] - ETA: 2:01 - loss: 267.5330 - logits_profile_predictions_loss: 264.2345 - logcount_predictions_loss: 0.3083 230/1106 [=====>........................] - ETA: 2:01 - loss: 267.5283 - logits_profile_predictions_loss: 264.2297 - logcount_predictions_loss: 0.3083 231/1106 [=====>........................] - ETA: 2:01 - loss: 267.5232 - logits_profile_predictions_loss: 264.2246 - logcount_predictions_loss: 0.3083 232/1106 [=====>........................] - ETA: 2:01 - loss: 267.5181 - logits_profile_predictions_loss: 264.2194 - logcount_predictions_loss: 0.3083 233/1106 [=====>........................] - ETA: 2:01 - loss: 267.5129 - logits_profile_predictions_loss: 264.2141 - logcount_predictions_loss: 0.3083 234/1106 [=====>........................] - ETA: 2:00 - loss: 267.5078 - logits_profile_predictions_loss: 264.2089 - logcount_predictions_loss: 0.3083 235/1106 [=====>........................] - ETA: 2:00 - loss: 267.5030 - logits_profile_predictions_loss: 264.2041 - logcount_predictions_loss: 0.3083 236/1106 [=====>........................] - ETA: 2:00 - loss: 267.4983 - logits_profile_predictions_loss: 264.1993 - logcount_predictions_loss: 0.3083 237/1106 [=====>........................] - ETA: 2:00 - loss: 267.4932 - logits_profile_predictions_loss: 264.1941 - logcount_predictions_loss: 0.3083 238/1106 [=====>........................] - ETA: 2:00 - loss: 267.4880 - logits_profile_predictions_loss: 264.1889 - logcount_predictions_loss: 0.3083 239/1106 [=====>........................] - ETA: 2:00 - loss: 267.4824 - logits_profile_predictions_loss: 264.1832 - logcount_predictions_loss: 0.3083 240/1106 [=====>........................] - ETA: 2:00 - loss: 267.4764 - logits_profile_predictions_loss: 264.1771 - logcount_predictions_loss: 0.3083 241/1106 [=====>........................] - ETA: 2:00 - loss: 267.4707 - logits_profile_predictions_loss: 264.1713 - logcount_predictions_loss: 0.3083 242/1106 [=====>........................] - ETA: 1:59 - loss: 267.4645 - logits_profile_predictions_loss: 264.1650 - logcount_predictions_loss: 0.3084 243/1106 [=====>........................] - ETA: 1:59 - loss: 267.4582 - logits_profile_predictions_loss: 264.1586 - logcount_predictions_loss: 0.3084 244/1106 [=====>........................] - ETA: 1:59 - loss: 267.4516 - logits_profile_predictions_loss: 264.1520 - logcount_predictions_loss: 0.3084 245/1106 [=====>........................] - ETA: 1:59 - loss: 267.4450 - logits_profile_predictions_loss: 264.1454 - logcount_predictions_loss: 0.3084 246/1106 [=====>........................] - ETA: 1:59 - loss: 267.4386 - logits_profile_predictions_loss: 264.1388 - logcount_predictions_loss: 0.3084 247/1106 [=====>........................] - ETA: 1:59 - loss: 267.4322 - logits_profile_predictions_loss: 264.1324 - logcount_predictions_loss: 0.3084 248/1106 [=====>........................] - ETA: 1:59 - loss: 267.4254 - logits_profile_predictions_loss: 264.1256 - logcount_predictions_loss: 0.3084 249/1106 [=====>........................] - ETA: 1:58 - loss: 267.4185 - logits_profile_predictions_loss: 264.1186 - logcount_predictions_loss: 0.3084 250/1106 [=====>........................] - ETA: 1:58 - loss: 267.4115 - logits_profile_predictions_loss: 264.1116 - logcount_predictions_loss: 0.3084 251/1106 [=====>........................] - ETA: 1:58 - loss: 267.4043 - logits_profile_predictions_loss: 264.1044 - logcount_predictions_loss: 0.3084 252/1106 [=====>........................] - ETA: 1:58 - loss: 267.3970 - logits_profile_predictions_loss: 264.0971 - logcount_predictions_loss: 0.3084 253/1106 [=====>........................] - ETA: 1:58 - loss: 267.3894 - logits_profile_predictions_loss: 264.0895 - logcount_predictions_loss: 0.3084 254/1106 [=====>........................] - ETA: 1:58 - loss: 267.3820 - logits_profile_predictions_loss: 264.0821 - logcount_predictions_loss: 0.3084 255/1106 [=====>........................] - ETA: 1:58 - loss: 267.3743 - logits_profile_predictions_loss: 264.0744 - logcount_predictions_loss: 0.3084 256/1106 [=====>........................] - ETA: 1:57 - loss: 267.3665 - logits_profile_predictions_loss: 264.0666 - logcount_predictions_loss: 0.3084 257/1106 [=====>........................] - ETA: 1:57 - loss: 267.3585 - logits_profile_predictions_loss: 264.0586 - logcount_predictions_loss: 0.3084 258/1106 [=====>........................] - ETA: 1:57 - loss: 267.3506 - logits_profile_predictions_loss: 264.0507 - logcount_predictions_loss: 0.3084 259/1106 [======>.......................] - ETA: 1:57 - loss: 267.3427 - logits_profile_predictions_loss: 264.0428 - logcount_predictions_loss: 0.3084 260/1106 [======>.......................] - ETA: 1:57 - loss: 267.3346 - logits_profile_predictions_loss: 264.0347 - logcount_predictions_loss: 0.3084 261/1106 [======>.......................] - ETA: 1:57 - loss: 267.3267 - logits_profile_predictions_loss: 264.0267 - logcount_predictions_loss: 0.3084 262/1106 [======>.......................] - ETA: 1:57 - loss: 267.3185 - logits_profile_predictions_loss: 264.0186 - logcount_predictions_loss: 0.3084 263/1106 [======>.......................] - ETA: 1:56 - loss: 267.3105 - logits_profile_predictions_loss: 264.0106 - logcount_predictions_loss: 0.3084 264/1106 [======>.......................] - ETA: 1:56 - loss: 267.3027 - logits_profile_predictions_loss: 264.0027 - logcount_predictions_loss: 0.3084 265/1106 [======>.......................] - ETA: 1:56 - loss: 267.2949 - logits_profile_predictions_loss: 263.9950 - logcount_predictions_loss: 0.3084 266/1106 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[============================>.] - ETA: 0s - loss: 265.7992 - logits_profile_predictions_loss: 262.5576 - logcount_predictions_loss: 0.3029 1105/1106 [============================>.] - ETA: 0s - loss: 265.7990 - logits_profile_predictions_loss: 262.5574 - logcount_predictions_loss: 0.3029 1106/1106 [==============================] - ETA: 0s - loss: 265.7988 - logits_profile_predictions_loss: 262.5573 - logcount_predictions_loss: 0.3029 1106/1106 [==============================] - 160s 145ms/step - loss: 265.7986 - logits_profile_predictions_loss: 262.5571 - logcount_predictions_loss: 0.3029 - val_loss: 276.3211 - val_logits_profile_predictions_loss: 272.8139 - val_logcount_predictions_loss: 0.3278 + +Epoch 00006: val_loss did not improve from 275.26187 +Epoch 7/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 239.3045 - logits_profile_predictions_loss: 237.1812 - logcount_predictions_loss: 0.1984 2/1106 [..............................] - ETA: 2:38 - loss: 249.8241 - 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[=>............................] - ETA: 2:23 - loss: 267.1106 - logits_profile_predictions_loss: 264.2005 - logcount_predictions_loss: 0.2720 76/1106 [=>............................] - ETA: 2:23 - loss: 267.0743 - logits_profile_predictions_loss: 264.1629 - logcount_predictions_loss: 0.2721 77/1106 [=>............................] - ETA: 2:23 - loss: 267.0366 - logits_profile_predictions_loss: 264.1238 - logcount_predictions_loss: 0.2722 78/1106 [=>............................] - ETA: 2:22 - loss: 266.9989 - logits_profile_predictions_loss: 264.0848 - logcount_predictions_loss: 0.2724 79/1106 [=>............................] - ETA: 2:22 - loss: 266.9648 - logits_profile_predictions_loss: 264.0493 - logcount_predictions_loss: 0.2725 80/1106 [=>............................] - ETA: 2:22 - loss: 266.9402 - logits_profile_predictions_loss: 264.0234 - logcount_predictions_loss: 0.2726 81/1106 [=>............................] - ETA: 2:22 - loss: 266.9200 - logits_profile_predictions_loss: 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[==>...........................] - ETA: 2:13 - loss: 265.9125 - logits_profile_predictions_loss: 262.9357 - logcount_predictions_loss: 0.2782 148/1106 [===>..........................] - ETA: 2:13 - loss: 265.9032 - logits_profile_predictions_loss: 262.9258 - logcount_predictions_loss: 0.2783 149/1106 [===>..........................] - ETA: 2:12 - loss: 265.8947 - logits_profile_predictions_loss: 262.9168 - logcount_predictions_loss: 0.2783 150/1106 [===>..........................] - ETA: 2:12 - loss: 265.8866 - logits_profile_predictions_loss: 262.9082 - logcount_predictions_loss: 0.2784 151/1106 [===>..........................] - ETA: 2:12 - loss: 265.8789 - logits_profile_predictions_loss: 262.8999 - logcount_predictions_loss: 0.2784 152/1106 [===>..........................] - ETA: 2:12 - loss: 265.8713 - logits_profile_predictions_loss: 262.8918 - logcount_predictions_loss: 0.2785 153/1106 [===>..........................] - ETA: 2:12 - loss: 265.8641 - 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[===>..........................] - ETA: 2:11 - loss: 265.8119 - logits_profile_predictions_loss: 262.8276 - logcount_predictions_loss: 0.2789 161/1106 [===>..........................] - ETA: 2:11 - loss: 265.8039 - logits_profile_predictions_loss: 262.8190 - logcount_predictions_loss: 0.2790 162/1106 [===>..........................] - ETA: 2:11 - loss: 265.7952 - logits_profile_predictions_loss: 262.8096 - logcount_predictions_loss: 0.2790 163/1106 [===>..........................] - ETA: 2:11 - loss: 265.7863 - logits_profile_predictions_loss: 262.8002 - logcount_predictions_loss: 0.2791 164/1106 [===>..........................] - ETA: 2:10 - loss: 265.7769 - logits_profile_predictions_loss: 262.7903 - logcount_predictions_loss: 0.2791 165/1106 [===>..........................] - ETA: 2:10 - loss: 265.7678 - logits_profile_predictions_loss: 262.7806 - logcount_predictions_loss: 0.2792 166/1106 [===>..........................] - ETA: 2:10 - loss: 265.7591 - logits_profile_predictions_loss: 262.7714 - logcount_predictions_loss: 0.2792 167/1106 [===>..........................] - ETA: 2:10 - loss: 265.7505 - logits_profile_predictions_loss: 262.7623 - logcount_predictions_loss: 0.2793 168/1106 [===>..........................] - ETA: 2:10 - loss: 265.7426 - logits_profile_predictions_loss: 262.7540 - logcount_predictions_loss: 0.2793 169/1106 [===>..........................] - ETA: 2:10 - loss: 265.7345 - logits_profile_predictions_loss: 262.7454 - logcount_predictions_loss: 0.2794 170/1106 [===>..........................] - ETA: 2:10 - loss: 265.7262 - logits_profile_predictions_loss: 262.7366 - logcount_predictions_loss: 0.2794 171/1106 [===>..........................] - ETA: 2:09 - loss: 265.7180 - logits_profile_predictions_loss: 262.7280 - logcount_predictions_loss: 0.2794 172/1106 [===>..........................] - ETA: 2:09 - loss: 265.7102 - logits_profile_predictions_loss: 262.7197 - logcount_predictions_loss: 0.2795 173/1106 [===>..........................] - ETA: 2:09 - loss: 265.7024 - logits_profile_predictions_loss: 262.7114 - logcount_predictions_loss: 0.2795 174/1106 [===>..........................] - ETA: 2:09 - loss: 265.6951 - logits_profile_predictions_loss: 262.7037 - logcount_predictions_loss: 0.2796 175/1106 [===>..........................] - ETA: 2:09 - loss: 265.6880 - logits_profile_predictions_loss: 262.6962 - logcount_predictions_loss: 0.2796 176/1106 [===>..........................] - ETA: 2:09 - loss: 265.6814 - logits_profile_predictions_loss: 262.6891 - logcount_predictions_loss: 0.2797 177/1106 [===>..........................] - ETA: 2:09 - loss: 265.6751 - logits_profile_predictions_loss: 262.6824 - logcount_predictions_loss: 0.2797 178/1106 [===>..........................] - ETA: 2:08 - loss: 265.6694 - logits_profile_predictions_loss: 262.6763 - logcount_predictions_loss: 0.2797 179/1106 [===>..........................] - ETA: 2:08 - loss: 265.6631 - logits_profile_predictions_loss: 262.6696 - logcount_predictions_loss: 0.2798 180/1106 [===>..........................] - ETA: 2:08 - loss: 265.6572 - logits_profile_predictions_loss: 262.6634 - logcount_predictions_loss: 0.2798 181/1106 [===>..........................] - ETA: 2:08 - loss: 265.6517 - logits_profile_predictions_loss: 262.6574 - logcount_predictions_loss: 0.2798 182/1106 [===>..........................] - ETA: 2:08 - loss: 265.6454 - logits_profile_predictions_loss: 262.6508 - logcount_predictions_loss: 0.2799 183/1106 [===>..........................] - ETA: 2:08 - loss: 265.6386 - logits_profile_predictions_loss: 262.6437 - logcount_predictions_loss: 0.2799 184/1106 [===>..........................] - ETA: 2:08 - loss: 265.6320 - logits_profile_predictions_loss: 262.6367 - logcount_predictions_loss: 0.2799 185/1106 [====>.........................] - ETA: 2:07 - loss: 265.6256 - logits_profile_predictions_loss: 262.6300 - logcount_predictions_loss: 0.2800 186/1106 [====>.........................] - ETA: 2:07 - loss: 265.6192 - logits_profile_predictions_loss: 262.6232 - logcount_predictions_loss: 0.2800 187/1106 [====>.........................] - ETA: 2:07 - loss: 265.6129 - logits_profile_predictions_loss: 262.6165 - logcount_predictions_loss: 0.2800 188/1106 [====>.........................] - ETA: 2:07 - loss: 265.6069 - logits_profile_predictions_loss: 262.6101 - logcount_predictions_loss: 0.2801 189/1106 [====>.........................] - ETA: 2:07 - loss: 265.6011 - logits_profile_predictions_loss: 262.6039 - logcount_predictions_loss: 0.2801 190/1106 [====>.........................] - ETA: 2:07 - loss: 265.5954 - logits_profile_predictions_loss: 262.5978 - logcount_predictions_loss: 0.2801 191/1106 [====>.........................] - ETA: 2:07 - loss: 265.5894 - logits_profile_predictions_loss: 262.5914 - logcount_predictions_loss: 0.2802 192/1106 [====>.........................] - ETA: 2:06 - loss: 265.5843 - logits_profile_predictions_loss: 262.5860 - logcount_predictions_loss: 0.2802 193/1106 [====>.........................] - ETA: 2:06 - loss: 265.5797 - logits_profile_predictions_loss: 262.5811 - logcount_predictions_loss: 0.2802 194/1106 [====>.........................] - ETA: 2:06 - loss: 265.5752 - logits_profile_predictions_loss: 262.5763 - logcount_predictions_loss: 0.2803 195/1106 [====>.........................] - ETA: 2:06 - loss: 265.5707 - logits_profile_predictions_loss: 262.5714 - logcount_predictions_loss: 0.2803 196/1106 [====>.........................] - ETA: 2:06 - loss: 265.5666 - logits_profile_predictions_loss: 262.5670 - logcount_predictions_loss: 0.2803 197/1106 [====>.........................] - ETA: 2:06 - loss: 265.5622 - logits_profile_predictions_loss: 262.5623 - logcount_predictions_loss: 0.2804 198/1106 [====>.........................] - ETA: 2:05 - loss: 265.5583 - logits_profile_predictions_loss: 262.5581 - logcount_predictions_loss: 0.2804 199/1106 [====>.........................] - ETA: 2:05 - loss: 265.5546 - logits_profile_predictions_loss: 262.5541 - logcount_predictions_loss: 0.2804 200/1106 [====>.........................] - ETA: 2:05 - loss: 265.5508 - logits_profile_predictions_loss: 262.5501 - logcount_predictions_loss: 0.2804 201/1106 [====>.........................] - ETA: 2:05 - loss: 265.5471 - logits_profile_predictions_loss: 262.5461 - logcount_predictions_loss: 0.2805 202/1106 [====>.........................] - ETA: 2:05 - loss: 265.5433 - logits_profile_predictions_loss: 262.5420 - logcount_predictions_loss: 0.2805 203/1106 [====>.........................] - ETA: 2:05 - loss: 265.5396 - logits_profile_predictions_loss: 262.5381 - logcount_predictions_loss: 0.2805 204/1106 [====>.........................] - ETA: 2:05 - loss: 265.5356 - logits_profile_predictions_loss: 262.5339 - logcount_predictions_loss: 0.2805 205/1106 [====>.........................] - ETA: 2:05 - loss: 265.5313 - logits_profile_predictions_loss: 262.5293 - logcount_predictions_loss: 0.2806 206/1106 [====>.........................] - ETA: 2:04 - loss: 265.5270 - logits_profile_predictions_loss: 262.5248 - logcount_predictions_loss: 0.2806 207/1106 [====>.........................] - ETA: 2:04 - loss: 265.5231 - logits_profile_predictions_loss: 262.5207 - logcount_predictions_loss: 0.2806 208/1106 [====>.........................] - ETA: 2:04 - loss: 265.5200 - logits_profile_predictions_loss: 262.5174 - logcount_predictions_loss: 0.2806 209/1106 [====>.........................] - ETA: 2:04 - loss: 265.5169 - logits_profile_predictions_loss: 262.5142 - logcount_predictions_loss: 0.2806 210/1106 [====>.........................] - ETA: 2:04 - loss: 265.5135 - logits_profile_predictions_loss: 262.5106 - logcount_predictions_loss: 0.2806 211/1106 [====>.........................] - ETA: 2:04 - loss: 265.5099 - logits_profile_predictions_loss: 262.5069 - logcount_predictions_loss: 0.2807 212/1106 [====>.........................] - ETA: 2:04 - loss: 265.5068 - logits_profile_predictions_loss: 262.5036 - logcount_predictions_loss: 0.2807 213/1106 [====>.........................] - ETA: 2:03 - loss: 265.5031 - logits_profile_predictions_loss: 262.4997 - logcount_predictions_loss: 0.2807 214/1106 [====>.........................] - ETA: 2:03 - loss: 265.4992 - logits_profile_predictions_loss: 262.4957 - logcount_predictions_loss: 0.2807 215/1106 [====>.........................] - ETA: 2:03 - loss: 265.4953 - logits_profile_predictions_loss: 262.4916 - logcount_predictions_loss: 0.2807 216/1106 [====>.........................] - ETA: 2:03 - loss: 265.4911 - logits_profile_predictions_loss: 262.4873 - logcount_predictions_loss: 0.2807 217/1106 [====>.........................] - ETA: 2:03 - loss: 265.4867 - logits_profile_predictions_loss: 262.4828 - logcount_predictions_loss: 0.2807 218/1106 [====>.........................] - ETA: 2:03 - loss: 265.4832 - logits_profile_predictions_loss: 262.4792 - logcount_predictions_loss: 0.2808 219/1106 [====>.........................] - ETA: 2:03 - loss: 265.4791 - logits_profile_predictions_loss: 262.4749 - logcount_predictions_loss: 0.2808 220/1106 [====>.........................] - ETA: 2:02 - loss: 265.4752 - logits_profile_predictions_loss: 262.4708 - logcount_predictions_loss: 0.2808 221/1106 [====>.........................] - ETA: 2:02 - loss: 265.4710 - logits_profile_predictions_loss: 262.4665 - logcount_predictions_loss: 0.2808 222/1106 [=====>........................] - ETA: 2:02 - loss: 265.4675 - logits_profile_predictions_loss: 262.4629 - logcount_predictions_loss: 0.2808 223/1106 [=====>........................] - ETA: 2:02 - loss: 265.4635 - logits_profile_predictions_loss: 262.4588 - logcount_predictions_loss: 0.2808 224/1106 [=====>........................] - ETA: 2:02 - loss: 265.4598 - logits_profile_predictions_loss: 262.4550 - logcount_predictions_loss: 0.2808 225/1106 [=====>........................] - ETA: 2:02 - loss: 265.4564 - logits_profile_predictions_loss: 262.4515 - logcount_predictions_loss: 0.2808 226/1106 [=====>........................] - ETA: 2:02 - loss: 265.4532 - logits_profile_predictions_loss: 262.4482 - logcount_predictions_loss: 0.2808 227/1106 [=====>........................] - ETA: 2:01 - loss: 265.4502 - logits_profile_predictions_loss: 262.4452 - logcount_predictions_loss: 0.2808 228/1106 [=====>........................] - ETA: 2:01 - loss: 265.4481 - logits_profile_predictions_loss: 262.4429 - logcount_predictions_loss: 0.2809 229/1106 [=====>........................] - ETA: 2:01 - loss: 265.4469 - logits_profile_predictions_loss: 262.4416 - logcount_predictions_loss: 0.2809 230/1106 [=====>........................] - ETA: 2:01 - loss: 265.4453 - logits_profile_predictions_loss: 262.4400 - logcount_predictions_loss: 0.2809 231/1106 [=====>........................] - ETA: 2:01 - loss: 265.4438 - logits_profile_predictions_loss: 262.4384 - logcount_predictions_loss: 0.2809 232/1106 [=====>........................] - ETA: 2:01 - loss: 265.4419 - logits_profile_predictions_loss: 262.4364 - logcount_predictions_loss: 0.2809 233/1106 [=====>........................] - ETA: 2:01 - loss: 265.4403 - logits_profile_predictions_loss: 262.4347 - logcount_predictions_loss: 0.2809 234/1106 [=====>........................] - ETA: 2:00 - loss: 265.4392 - logits_profile_predictions_loss: 262.4336 - logcount_predictions_loss: 0.2809 235/1106 [=====>........................] - ETA: 2:00 - loss: 265.4381 - logits_profile_predictions_loss: 262.4324 - logcount_predictions_loss: 0.2809 236/1106 [=====>........................] - ETA: 2:00 - loss: 265.4369 - logits_profile_predictions_loss: 262.4311 - logcount_predictions_loss: 0.2809 237/1106 [=====>........................] - ETA: 2:00 - loss: 265.4357 - logits_profile_predictions_loss: 262.4299 - logcount_predictions_loss: 0.2809 238/1106 [=====>........................] - ETA: 2:00 - loss: 265.4343 - logits_profile_predictions_loss: 262.4284 - logcount_predictions_loss: 0.2809 239/1106 [=====>........................] - ETA: 2:00 - loss: 265.4328 - logits_profile_predictions_loss: 262.4268 - logcount_predictions_loss: 0.2809 240/1106 [=====>........................] - ETA: 2:00 - loss: 265.4314 - logits_profile_predictions_loss: 262.4253 - logcount_predictions_loss: 0.2809 241/1106 [=====>........................] - ETA: 2:00 - loss: 265.4299 - logits_profile_predictions_loss: 262.4237 - logcount_predictions_loss: 0.2810 242/1106 [=====>........................] - ETA: 1:59 - loss: 265.4287 - logits_profile_predictions_loss: 262.4224 - logcount_predictions_loss: 0.2810 243/1106 [=====>........................] - ETA: 1:59 - loss: 265.4278 - logits_profile_predictions_loss: 262.4214 - logcount_predictions_loss: 0.2810 244/1106 [=====>........................] - ETA: 1:59 - loss: 265.4270 - logits_profile_predictions_loss: 262.4205 - logcount_predictions_loss: 0.2810 245/1106 [=====>........................] - ETA: 1:59 - loss: 265.4264 - logits_profile_predictions_loss: 262.4198 - logcount_predictions_loss: 0.2810 246/1106 [=====>........................] - ETA: 1:59 - loss: 265.4259 - logits_profile_predictions_loss: 262.4192 - logcount_predictions_loss: 0.2810 247/1106 [=====>........................] - ETA: 1:59 - loss: 265.4254 - logits_profile_predictions_loss: 262.4186 - logcount_predictions_loss: 0.2810 248/1106 [=====>........................] - ETA: 1:59 - loss: 265.4249 - logits_profile_predictions_loss: 262.4180 - logcount_predictions_loss: 0.2810 249/1106 [=====>........................] - ETA: 1:58 - loss: 265.4248 - logits_profile_predictions_loss: 262.4178 - logcount_predictions_loss: 0.2810 250/1106 [=====>........................] - ETA: 1:58 - loss: 265.4248 - logits_profile_predictions_loss: 262.4177 - logcount_predictions_loss: 0.2810 251/1106 [=====>........................] - ETA: 1:58 - loss: 265.4245 - logits_profile_predictions_loss: 262.4174 - logcount_predictions_loss: 0.2810 252/1106 [=====>........................] - ETA: 1:58 - loss: 265.4241 - logits_profile_predictions_loss: 262.4169 - logcount_predictions_loss: 0.2810 253/1106 [=====>........................] - ETA: 1:58 - loss: 265.4239 - logits_profile_predictions_loss: 262.4166 - logcount_predictions_loss: 0.2811 254/1106 [=====>........................] - ETA: 1:58 - loss: 265.4237 - logits_profile_predictions_loss: 262.4164 - logcount_predictions_loss: 0.2811 255/1106 [=====>........................] - ETA: 1:58 - loss: 265.4237 - logits_profile_predictions_loss: 262.4164 - logcount_predictions_loss: 0.2811 256/1106 [=====>........................] - ETA: 1:57 - loss: 265.4237 - logits_profile_predictions_loss: 262.4163 - logcount_predictions_loss: 0.2811 257/1106 [=====>........................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4165 - logcount_predictions_loss: 0.2811 258/1106 [=====>........................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4165 - logcount_predictions_loss: 0.2811 259/1106 [======>.......................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4165 - logcount_predictions_loss: 0.2811 260/1106 [======>.......................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4164 - logcount_predictions_loss: 0.2811 261/1106 [======>.......................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4165 - logcount_predictions_loss: 0.2811 262/1106 [======>.......................] - ETA: 1:57 - loss: 265.4240 - logits_profile_predictions_loss: 262.4165 - logcount_predictions_loss: 0.2811 263/1106 [======>.......................] - ETA: 1:56 - loss: 265.4237 - logits_profile_predictions_loss: 262.4161 - logcount_predictions_loss: 0.2811 264/1106 [======>.......................] - ETA: 1:56 - loss: 265.4234 - logits_profile_predictions_loss: 262.4158 - logcount_predictions_loss: 0.2811 265/1106 [======>.......................] - ETA: 1:56 - loss: 265.4232 - logits_profile_predictions_loss: 262.4156 - logcount_predictions_loss: 0.2811 266/1106 [======>.......................] - ETA: 1:56 - loss: 265.4226 - logits_profile_predictions_loss: 262.4150 - logcount_predictions_loss: 0.2811 267/1106 [======>.......................] - ETA: 1:56 - loss: 265.4218 - logits_profile_predictions_loss: 262.4142 - logcount_predictions_loss: 0.2811 268/1106 [======>.......................] - ETA: 1:56 - loss: 265.4210 - logits_profile_predictions_loss: 262.4134 - logcount_predictions_loss: 0.2811 269/1106 [======>.......................] - ETA: 1:56 - loss: 265.4201 - logits_profile_predictions_loss: 262.4124 - logcount_predictions_loss: 0.2811 270/1106 [======>.......................] - ETA: 1:55 - loss: 265.4189 - logits_profile_predictions_loss: 262.4112 - logcount_predictions_loss: 0.2811 271/1106 [======>.......................] - ETA: 1:55 - loss: 265.4178 - logits_profile_predictions_loss: 262.4100 - logcount_predictions_loss: 0.2811 272/1106 [======>.......................] - ETA: 1:55 - loss: 265.4166 - logits_profile_predictions_loss: 262.4089 - logcount_predictions_loss: 0.2811 273/1106 [======>.......................] - ETA: 1:55 - loss: 265.4152 - logits_profile_predictions_loss: 262.4074 - logcount_predictions_loss: 0.2811 274/1106 [======>.......................] - ETA: 1:55 - loss: 265.4144 - logits_profile_predictions_loss: 262.4065 - logcount_predictions_loss: 0.2811 275/1106 [======>.......................] - ETA: 1:55 - loss: 265.4132 - logits_profile_predictions_loss: 262.4052 - logcount_predictions_loss: 0.2811 276/1106 [======>.......................] - ETA: 1:55 - loss: 265.4119 - logits_profile_predictions_loss: 262.4039 - logcount_predictions_loss: 0.2811 277/1106 [======>.......................] - ETA: 1:55 - loss: 265.4106 - logits_profile_predictions_loss: 262.4026 - logcount_predictions_loss: 0.2811 278/1106 [======>.......................] - ETA: 1:54 - loss: 265.4094 - logits_profile_predictions_loss: 262.4013 - logcount_predictions_loss: 0.2811 279/1106 [======>.......................] - ETA: 1:54 - loss: 265.4084 - logits_profile_predictions_loss: 262.4003 - logcount_predictions_loss: 0.2811 280/1106 [======>.......................] - ETA: 1:54 - loss: 265.4074 - logits_profile_predictions_loss: 262.3992 - logcount_predictions_loss: 0.2811 281/1106 [======>.......................] - ETA: 1:54 - loss: 265.4062 - logits_profile_predictions_loss: 262.3979 - logcount_predictions_loss: 0.2812 282/1106 [======>.......................] - ETA: 1:54 - loss: 265.4052 - logits_profile_predictions_loss: 262.3968 - logcount_predictions_loss: 0.2812 283/1106 [======>.......................] - ETA: 1:54 - loss: 265.4040 - logits_profile_predictions_loss: 262.3955 - logcount_predictions_loss: 0.2812 284/1106 [======>.......................] - ETA: 1:54 - loss: 265.4029 - logits_profile_predictions_loss: 262.3943 - logcount_predictions_loss: 0.2812 285/1106 [======>.......................] - ETA: 1:53 - loss: 265.4017 - logits_profile_predictions_loss: 262.3930 - logcount_predictions_loss: 0.2812 286/1106 [======>.......................] - ETA: 1:53 - loss: 265.4002 - logits_profile_predictions_loss: 262.3915 - logcount_predictions_loss: 0.2812 287/1106 [======>.......................] - ETA: 1:53 - loss: 265.3986 - logits_profile_predictions_loss: 262.3898 - logcount_predictions_loss: 0.2812 288/1106 [======>.......................] - ETA: 1:53 - loss: 265.3968 - logits_profile_predictions_loss: 262.3879 - logcount_predictions_loss: 0.2812 289/1106 [======>.......................] - ETA: 1:53 - loss: 265.3954 - logits_profile_predictions_loss: 262.3864 - logcount_predictions_loss: 0.2812 290/1106 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logits_profile_predictions_loss: 261.8712 - logcount_predictions_loss: 0.2826 1096/1106 [============================>.] - ETA: 1s - loss: 264.8943 - logits_profile_predictions_loss: 261.8708 - logcount_predictions_loss: 0.2826 1097/1106 [============================>.] - ETA: 1s - loss: 264.8939 - logits_profile_predictions_loss: 261.8704 - logcount_predictions_loss: 0.2826 1098/1106 [============================>.] - ETA: 1s - loss: 264.8935 - logits_profile_predictions_loss: 261.8700 - logcount_predictions_loss: 0.2826 1099/1106 [============================>.] - ETA: 0s - loss: 264.8931 - logits_profile_predictions_loss: 261.8696 - logcount_predictions_loss: 0.2826 1100/1106 [============================>.] - ETA: 0s - loss: 264.8927 - logits_profile_predictions_loss: 261.8692 - logcount_predictions_loss: 0.2826 1101/1106 [============================>.] - ETA: 0s - loss: 264.8923 - logits_profile_predictions_loss: 261.8687 - logcount_predictions_loss: 0.2826 1102/1106 [============================>.] - ETA: 0s - loss: 264.8919 - logits_profile_predictions_loss: 261.8683 - logcount_predictions_loss: 0.2826 1103/1106 [============================>.] - ETA: 0s - loss: 264.8915 - logits_profile_predictions_loss: 261.8679 - logcount_predictions_loss: 0.2826 1104/1106 [============================>.] - ETA: 0s - loss: 264.8910 - logits_profile_predictions_loss: 261.8675 - logcount_predictions_loss: 0.2826 1105/1106 [============================>.] - ETA: 0s - loss: 264.8906 - logits_profile_predictions_loss: 261.8670 - logcount_predictions_loss: 0.2826 1106/1106 [==============================] - ETA: 0s - loss: 264.8902 - logits_profile_predictions_loss: 261.8666 - logcount_predictions_loss: 0.2826 1106/1106 [==============================] - 160s 145ms/step - loss: 264.8897 - logits_profile_predictions_loss: 261.8662 - logcount_predictions_loss: 0.2826 - val_loss: 276.1827 - val_logits_profile_predictions_loss: 272.7479 - val_logcount_predictions_loss: 0.3210 + +Epoch 00007: val_loss did not improve from 275.26187 +Epoch 8/50 + 1/1106 [..............................] - ETA: 2:52 - loss: 263.0529 - logits_profile_predictions_loss: 260.3027 - logcount_predictions_loss: 0.2570 2/1106 [..............................] - ETA: 2:33 - loss: 258.4375 - logits_profile_predictions_loss: 255.6939 - logcount_predictions_loss: 0.2564 3/1106 [..............................] - ETA: 2:33 - loss: 258.8955 - logits_profile_predictions_loss: 256.1035 - logcount_predictions_loss: 0.2609 4/1106 [..............................] - ETA: 2:32 - loss: 260.3202 - logits_profile_predictions_loss: 257.4873 - logcount_predictions_loss: 0.2648 5/1106 [..............................] - ETA: 2:32 - loss: 261.3156 - logits_profile_predictions_loss: 258.4519 - logcount_predictions_loss: 0.2676 6/1106 [..............................] - ETA: 2:32 - loss: 263.2439 - logits_profile_predictions_loss: 260.3425 - logcount_predictions_loss: 0.2712 7/1106 [..............................] - ETA: 2:32 - loss: 264.3669 - logits_profile_predictions_loss: 261.4460 - logcount_predictions_loss: 0.2730 8/1106 [..............................] - ETA: 2:32 - loss: 265.4666 - logits_profile_predictions_loss: 262.5337 - logcount_predictions_loss: 0.2741 9/1106 [..............................] - ETA: 2:32 - loss: 266.3749 - logits_profile_predictions_loss: 263.4334 - logcount_predictions_loss: 0.2749 10/1106 [..............................] - ETA: 2:32 - loss: 266.8166 - logits_profile_predictions_loss: 263.8703 - logcount_predictions_loss: 0.2754 11/1106 [..............................] - ETA: 2:31 - loss: 267.1031 - logits_profile_predictions_loss: 264.1497 - logcount_predictions_loss: 0.2760 12/1106 [..............................] - ETA: 2:31 - loss: 267.2910 - logits_profile_predictions_loss: 264.3383 - logcount_predictions_loss: 0.2760 13/1106 [..............................] - ETA: 2:31 - loss: 267.4801 - logits_profile_predictions_loss: 264.5275 - logcount_predictions_loss: 0.2759 14/1106 [..............................] - ETA: 2:31 - loss: 267.7089 - logits_profile_predictions_loss: 264.7588 - logcount_predictions_loss: 0.2757 15/1106 [..............................] - ETA: 2:31 - loss: 267.8993 - logits_profile_predictions_loss: 264.9477 - logcount_predictions_loss: 0.2758 16/1106 [..............................] - ETA: 2:31 - loss: 268.0134 - logits_profile_predictions_loss: 265.0554 - logcount_predictions_loss: 0.2764 17/1106 [..............................] - ETA: 2:31 - loss: 268.1022 - logits_profile_predictions_loss: 265.1368 - logcount_predictions_loss: 0.2771 18/1106 [..............................] - ETA: 2:30 - loss: 268.1422 - logits_profile_predictions_loss: 265.1688 - logcount_predictions_loss: 0.2779 19/1106 [..............................] - ETA: 2:30 - loss: 268.1965 - logits_profile_predictions_loss: 265.2163 - logcount_predictions_loss: 0.2785 20/1106 [..............................] - ETA: 2:30 - loss: 268.2404 - logits_profile_predictions_loss: 265.2546 - logcount_predictions_loss: 0.2791 21/1106 [..............................] - ETA: 2:30 - loss: 268.2438 - logits_profile_predictions_loss: 265.2544 - logcount_predictions_loss: 0.2794 22/1106 [..............................] - ETA: 2:30 - loss: 268.2303 - logits_profile_predictions_loss: 265.2384 - logcount_predictions_loss: 0.2796 23/1106 [..............................] - ETA: 2:30 - loss: 268.1899 - logits_profile_predictions_loss: 265.1981 - logcount_predictions_loss: 0.2796 24/1106 [..............................] - ETA: 2:30 - loss: 268.1626 - logits_profile_predictions_loss: 265.1723 - logcount_predictions_loss: 0.2795 25/1106 [..............................] - ETA: 2:29 - loss: 268.0924 - logits_profile_predictions_loss: 265.1045 - logcount_predictions_loss: 0.2792 26/1106 [..............................] - ETA: 2:28 - loss: 268.0091 - logits_profile_predictions_loss: 265.0242 - logcount_predictions_loss: 0.2790 27/1106 [..............................] - ETA: 2:28 - loss: 267.9069 - logits_profile_predictions_loss: 264.9233 - logcount_predictions_loss: 0.2788 28/1106 [..............................] - ETA: 2:28 - loss: 267.7900 - logits_profile_predictions_loss: 264.8069 - logcount_predictions_loss: 0.2788 29/1106 [..............................] - ETA: 2:28 - loss: 267.6515 - logits_profile_predictions_loss: 264.6689 - logcount_predictions_loss: 0.2788 30/1106 [..............................] - ETA: 2:28 - loss: 267.5300 - logits_profile_predictions_loss: 264.5469 - logcount_predictions_loss: 0.2788 31/1106 [..............................] - ETA: 2:28 - loss: 267.4169 - logits_profile_predictions_loss: 264.4328 - logcount_predictions_loss: 0.2789 32/1106 [..............................] - ETA: 2:27 - loss: 267.3320 - logits_profile_predictions_loss: 264.3467 - logcount_predictions_loss: 0.2790 33/1106 [..............................] - ETA: 2:27 - loss: 267.2385 - logits_profile_predictions_loss: 264.2521 - logcount_predictions_loss: 0.2791 34/1106 [..............................] - ETA: 2:27 - loss: 267.1480 - logits_profile_predictions_loss: 264.1609 - logcount_predictions_loss: 0.2792 35/1106 [..............................] - ETA: 2:27 - loss: 267.0467 - logits_profile_predictions_loss: 264.0584 - logcount_predictions_loss: 0.2793 36/1106 [..............................] - ETA: 2:27 - loss: 266.9372 - logits_profile_predictions_loss: 263.9485 - logcount_predictions_loss: 0.2793 37/1106 [>.............................] - ETA: 2:27 - loss: 266.8507 - logits_profile_predictions_loss: 263.8611 - logcount_predictions_loss: 0.2794 38/1106 [>.............................] - ETA: 2:27 - loss: 266.7844 - logits_profile_predictions_loss: 263.7942 - logcount_predictions_loss: 0.2795 39/1106 [>.............................] - ETA: 2:27 - loss: 266.7249 - logits_profile_predictions_loss: 263.7342 - logcount_predictions_loss: 0.2795 40/1106 [>.............................] - ETA: 2:27 - loss: 266.6645 - logits_profile_predictions_loss: 263.6739 - logcount_predictions_loss: 0.2795 41/1106 [>.............................] - ETA: 2:26 - loss: 266.5912 - logits_profile_predictions_loss: 263.6001 - logcount_predictions_loss: 0.2795 42/1106 [>.............................] - ETA: 2:26 - loss: 266.5190 - logits_profile_predictions_loss: 263.5272 - logcount_predictions_loss: 0.2796 43/1106 [>.............................] - ETA: 2:26 - loss: 266.4598 - logits_profile_predictions_loss: 263.4675 - logcount_predictions_loss: 0.2797 44/1106 [>.............................] - ETA: 2:26 - loss: 266.3935 - logits_profile_predictions_loss: 263.4009 - logcount_predictions_loss: 0.2797 45/1106 [>.............................] - ETA: 2:26 - loss: 266.3180 - logits_profile_predictions_loss: 263.3252 - logcount_predictions_loss: 0.2797 46/1106 [>.............................] - ETA: 2:26 - loss: 266.2496 - logits_profile_predictions_loss: 263.2567 - logcount_predictions_loss: 0.2797 47/1106 [>.............................] - ETA: 2:26 - loss: 266.1925 - logits_profile_predictions_loss: 263.1993 - logcount_predictions_loss: 0.2797 48/1106 [>.............................] - ETA: 2:26 - loss: 266.1379 - logits_profile_predictions_loss: 263.1440 - logcount_predictions_loss: 0.2798 49/1106 [>.............................] - ETA: 2:25 - loss: 266.0877 - logits_profile_predictions_loss: 263.0931 - logcount_predictions_loss: 0.2799 50/1106 [>.............................] - ETA: 2:25 - loss: 266.0277 - logits_profile_predictions_loss: 263.0328 - logcount_predictions_loss: 0.2799 51/1106 [>.............................] - ETA: 2:25 - loss: 265.9767 - logits_profile_predictions_loss: 262.9817 - logcount_predictions_loss: 0.2799 52/1106 [>.............................] - ETA: 2:25 - loss: 265.9335 - logits_profile_predictions_loss: 262.9383 - logcount_predictions_loss: 0.2799 53/1106 [>.............................] - ETA: 2:25 - loss: 265.8940 - logits_profile_predictions_loss: 262.8984 - logcount_predictions_loss: 0.2800 54/1106 [>.............................] - ETA: 2:25 - loss: 265.8580 - logits_profile_predictions_loss: 262.8619 - logcount_predictions_loss: 0.2800 55/1106 [>.............................] - ETA: 2:25 - loss: 265.8264 - logits_profile_predictions_loss: 262.8299 - logcount_predictions_loss: 0.2801 56/1106 [>.............................] - ETA: 2:25 - loss: 265.8041 - logits_profile_predictions_loss: 262.8069 - logcount_predictions_loss: 0.2801 57/1106 [>.............................] - ETA: 2:24 - loss: 265.7814 - logits_profile_predictions_loss: 262.7835 - logcount_predictions_loss: 0.2802 58/1106 [>.............................] - ETA: 2:24 - loss: 265.7602 - logits_profile_predictions_loss: 262.7618 - logcount_predictions_loss: 0.2802 59/1106 [>.............................] - ETA: 2:24 - loss: 265.7340 - logits_profile_predictions_loss: 262.7350 - logcount_predictions_loss: 0.2803 60/1106 [>.............................] - ETA: 2:24 - loss: 265.7064 - logits_profile_predictions_loss: 262.7067 - logcount_predictions_loss: 0.2803 61/1106 [>.............................] - ETA: 2:24 - loss: 265.6718 - logits_profile_predictions_loss: 262.6714 - logcount_predictions_loss: 0.2804 62/1106 [>.............................] - ETA: 2:24 - loss: 265.6354 - logits_profile_predictions_loss: 262.6343 - logcount_predictions_loss: 0.2805 63/1106 [>.............................] - ETA: 2:24 - loss: 265.6083 - logits_profile_predictions_loss: 262.6062 - logcount_predictions_loss: 0.2806 64/1106 [>.............................] - ETA: 2:24 - loss: 265.5743 - logits_profile_predictions_loss: 262.5713 - logcount_predictions_loss: 0.2807 65/1106 [>.............................] - ETA: 2:23 - loss: 265.5412 - logits_profile_predictions_loss: 262.5375 - logcount_predictions_loss: 0.2807 66/1106 [>.............................] - ETA: 2:23 - loss: 265.5139 - logits_profile_predictions_loss: 262.5094 - logcount_predictions_loss: 0.2808 67/1106 [>.............................] - ETA: 2:23 - loss: 265.4924 - logits_profile_predictions_loss: 262.4871 - logcount_predictions_loss: 0.2809 68/1106 [>.............................] - ETA: 2:23 - loss: 265.4739 - logits_profile_predictions_loss: 262.4680 - logcount_predictions_loss: 0.2809 69/1106 [>.............................] - ETA: 2:23 - loss: 265.4535 - logits_profile_predictions_loss: 262.4472 - logcount_predictions_loss: 0.2810 70/1106 [>.............................] - ETA: 2:23 - loss: 265.4317 - logits_profile_predictions_loss: 262.4251 - logcount_predictions_loss: 0.2810 71/1106 [>.............................] - ETA: 2:23 - loss: 265.4132 - logits_profile_predictions_loss: 262.4061 - logcount_predictions_loss: 0.2810 72/1106 [>.............................] - ETA: 2:22 - loss: 265.4041 - logits_profile_predictions_loss: 262.3963 - logcount_predictions_loss: 0.2811 73/1106 [>.............................] - ETA: 2:22 - loss: 265.3937 - logits_profile_predictions_loss: 262.3853 - logcount_predictions_loss: 0.2812 74/1106 [=>............................] - ETA: 2:22 - loss: 265.3806 - logits_profile_predictions_loss: 262.3716 - logcount_predictions_loss: 0.2812 75/1106 [=>............................] - ETA: 2:22 - loss: 265.3706 - logits_profile_predictions_loss: 262.3612 - logcount_predictions_loss: 0.2813 76/1106 [=>............................] - ETA: 2:22 - loss: 265.3555 - logits_profile_predictions_loss: 262.3456 - logcount_predictions_loss: 0.2813 77/1106 [=>............................] - ETA: 2:22 - loss: 265.3424 - logits_profile_predictions_loss: 262.3321 - logcount_predictions_loss: 0.2813 78/1106 [=>............................] - ETA: 2:22 - loss: 265.3277 - logits_profile_predictions_loss: 262.3170 - logcount_predictions_loss: 0.2814 79/1106 [=>............................] - ETA: 2:22 - loss: 265.3173 - logits_profile_predictions_loss: 262.3064 - logcount_predictions_loss: 0.2814 80/1106 [=>............................] - ETA: 2:21 - loss: 265.3059 - logits_profile_predictions_loss: 262.2948 - logcount_predictions_loss: 0.2814 81/1106 [=>............................] - ETA: 2:21 - loss: 265.2936 - logits_profile_predictions_loss: 262.2823 - logcount_predictions_loss: 0.2814 82/1106 [=>............................] - ETA: 2:21 - loss: 265.2778 - logits_profile_predictions_loss: 262.2662 - logcount_predictions_loss: 0.2815 83/1106 [=>............................] - ETA: 2:21 - loss: 265.2628 - logits_profile_predictions_loss: 262.2510 - logcount_predictions_loss: 0.2815 84/1106 [=>............................] - ETA: 2:21 - loss: 265.2453 - logits_profile_predictions_loss: 262.2334 - logcount_predictions_loss: 0.2815 85/1106 [=>............................] - ETA: 2:21 - loss: 265.2280 - logits_profile_predictions_loss: 262.2158 - logcount_predictions_loss: 0.2815 86/1106 [=>............................] - ETA: 2:21 - loss: 265.2098 - logits_profile_predictions_loss: 262.1973 - logcount_predictions_loss: 0.2815 87/1106 [=>............................] - ETA: 2:20 - loss: 265.1905 - logits_profile_predictions_loss: 262.1777 - logcount_predictions_loss: 0.2816 88/1106 [=>............................] - ETA: 2:20 - loss: 265.1707 - logits_profile_predictions_loss: 262.1577 - logcount_predictions_loss: 0.2816 89/1106 [=>............................] - ETA: 2:20 - loss: 265.1496 - logits_profile_predictions_loss: 262.1363 - logcount_predictions_loss: 0.2816 90/1106 [=>............................] - ETA: 2:20 - loss: 265.1284 - logits_profile_predictions_loss: 262.1148 - logcount_predictions_loss: 0.2816 91/1106 [=>............................] - ETA: 2:20 - loss: 265.1048 - logits_profile_predictions_loss: 262.0908 - logcount_predictions_loss: 0.2817 92/1106 [=>............................] - ETA: 2:20 - loss: 265.0817 - logits_profile_predictions_loss: 262.0673 - logcount_predictions_loss: 0.2817 93/1106 [=>............................] - ETA: 2:20 - loss: 265.0587 - logits_profile_predictions_loss: 262.0439 - logcount_predictions_loss: 0.2818 94/1106 [=>............................] - ETA: 2:20 - loss: 265.0345 - logits_profile_predictions_loss: 262.0194 - logcount_predictions_loss: 0.2818 95/1106 [=>............................] - ETA: 2:19 - loss: 265.0113 - logits_profile_predictions_loss: 261.9958 - logcount_predictions_loss: 0.2818 96/1106 [=>............................] - ETA: 2:19 - loss: 264.9901 - logits_profile_predictions_loss: 261.9744 - logcount_predictions_loss: 0.2818 97/1106 [=>............................] - ETA: 2:19 - loss: 264.9722 - logits_profile_predictions_loss: 261.9562 - logcount_predictions_loss: 0.2819 98/1106 [=>............................] - ETA: 2:19 - loss: 264.9553 - logits_profile_predictions_loss: 261.9392 - logcount_predictions_loss: 0.2819 99/1106 [=>............................] - ETA: 2:19 - loss: 264.9365 - logits_profile_predictions_loss: 261.9203 - logcount_predictions_loss: 0.2819 100/1106 [=>............................] - ETA: 2:19 - loss: 264.9176 - logits_profile_predictions_loss: 261.9013 - logcount_predictions_loss: 0.2819 101/1106 [=>............................] - ETA: 2:19 - loss: 264.9010 - logits_profile_predictions_loss: 261.8846 - logcount_predictions_loss: 0.2819 102/1106 [=>............................] - ETA: 2:18 - loss: 264.8860 - logits_profile_predictions_loss: 261.8696 - logcount_predictions_loss: 0.2819 103/1106 [=>............................] - ETA: 2:18 - loss: 264.8711 - logits_profile_predictions_loss: 261.8546 - logcount_predictions_loss: 0.2819 104/1106 [=>............................] - ETA: 2:18 - loss: 264.8524 - logits_profile_predictions_loss: 261.8357 - logcount_predictions_loss: 0.2819 105/1106 [=>............................] - ETA: 2:18 - loss: 264.8345 - logits_profile_predictions_loss: 261.8177 - logcount_predictions_loss: 0.2819 106/1106 [=>............................] - ETA: 2:18 - loss: 264.8170 - logits_profile_predictions_loss: 261.8002 - logcount_predictions_loss: 0.2819 107/1106 [=>............................] - ETA: 2:18 - loss: 264.8026 - logits_profile_predictions_loss: 261.7856 - logcount_predictions_loss: 0.2820 108/1106 [=>............................] - ETA: 2:18 - loss: 264.7869 - logits_profile_predictions_loss: 261.7697 - logcount_predictions_loss: 0.2820 109/1106 [=>............................] - ETA: 2:18 - loss: 264.7708 - logits_profile_predictions_loss: 261.7533 - logcount_predictions_loss: 0.2820 110/1106 [=>............................] - ETA: 2:17 - loss: 264.7565 - logits_profile_predictions_loss: 261.7387 - logcount_predictions_loss: 0.2820 111/1106 [==>...........................] - ETA: 2:17 - loss: 264.7417 - logits_profile_predictions_loss: 261.7235 - logcount_predictions_loss: 0.2821 112/1106 [==>...........................] - ETA: 2:17 - loss: 264.7290 - logits_profile_predictions_loss: 261.7105 - logcount_predictions_loss: 0.2821 113/1106 [==>...........................] - ETA: 2:17 - loss: 264.7157 - logits_profile_predictions_loss: 261.6969 - logcount_predictions_loss: 0.2821 114/1106 [==>...........................] - ETA: 2:17 - loss: 264.7034 - logits_profile_predictions_loss: 261.6843 - logcount_predictions_loss: 0.2822 115/1106 [==>...........................] - ETA: 2:17 - loss: 264.6924 - logits_profile_predictions_loss: 261.6730 - logcount_predictions_loss: 0.2822 116/1106 [==>...........................] - ETA: 2:17 - loss: 264.6784 - logits_profile_predictions_loss: 261.6587 - logcount_predictions_loss: 0.2822 117/1106 [==>...........................] - ETA: 2:16 - loss: 264.6641 - logits_profile_predictions_loss: 261.6440 - logcount_predictions_loss: 0.2822 118/1106 [==>...........................] - ETA: 2:16 - loss: 264.6488 - logits_profile_predictions_loss: 261.6284 - logcount_predictions_loss: 0.2823 119/1106 [==>...........................] - ETA: 2:16 - loss: 264.6318 - logits_profile_predictions_loss: 261.6112 - logcount_predictions_loss: 0.2823 120/1106 [==>...........................] - ETA: 2:16 - loss: 264.6160 - logits_profile_predictions_loss: 261.5952 - logcount_predictions_loss: 0.2823 121/1106 [==>...........................] - ETA: 2:16 - loss: 264.5997 - logits_profile_predictions_loss: 261.5786 - logcount_predictions_loss: 0.2823 122/1106 [==>...........................] - ETA: 2:16 - loss: 264.5822 - logits_profile_predictions_loss: 261.5608 - logcount_predictions_loss: 0.2824 123/1106 [==>...........................] - ETA: 2:16 - loss: 264.5652 - logits_profile_predictions_loss: 261.5434 - logcount_predictions_loss: 0.2824 124/1106 [==>...........................] - ETA: 2:16 - loss: 264.5497 - logits_profile_predictions_loss: 261.5275 - logcount_predictions_loss: 0.2824 125/1106 [==>...........................] - ETA: 2:15 - loss: 264.5336 - logits_profile_predictions_loss: 261.5111 - logcount_predictions_loss: 0.2825 126/1106 [==>...........................] - ETA: 2:15 - loss: 264.5187 - logits_profile_predictions_loss: 261.4958 - logcount_predictions_loss: 0.2825 127/1106 [==>...........................] - ETA: 2:15 - loss: 264.5025 - logits_profile_predictions_loss: 261.4792 - logcount_predictions_loss: 0.2826 128/1106 [==>...........................] - ETA: 2:15 - loss: 264.4880 - logits_profile_predictions_loss: 261.4641 - logcount_predictions_loss: 0.2826 129/1106 [==>...........................] - ETA: 2:15 - loss: 264.4743 - logits_profile_predictions_loss: 261.4500 - logcount_predictions_loss: 0.2826 130/1106 [==>...........................] - ETA: 2:15 - loss: 264.4612 - logits_profile_predictions_loss: 261.4365 - logcount_predictions_loss: 0.2827 131/1106 [==>...........................] - ETA: 2:15 - loss: 264.4479 - logits_profile_predictions_loss: 261.4227 - logcount_predictions_loss: 0.2827 132/1106 [==>...........................] - ETA: 2:14 - loss: 264.4342 - logits_profile_predictions_loss: 261.4086 - logcount_predictions_loss: 0.2828 133/1106 [==>...........................] - ETA: 2:14 - loss: 264.4214 - logits_profile_predictions_loss: 261.3952 - logcount_predictions_loss: 0.2828 134/1106 [==>...........................] - ETA: 2:14 - loss: 264.4087 - logits_profile_predictions_loss: 261.3821 - logcount_predictions_loss: 0.2829 135/1106 [==>...........................] - ETA: 2:14 - loss: 264.3977 - logits_profile_predictions_loss: 261.3707 - logcount_predictions_loss: 0.2829 136/1106 [==>...........................] - ETA: 2:14 - loss: 264.3859 - logits_profile_predictions_loss: 261.3585 - logcount_predictions_loss: 0.2829 137/1106 [==>...........................] - ETA: 2:14 - loss: 264.3723 - logits_profile_predictions_loss: 261.3445 - logcount_predictions_loss: 0.2830 138/1106 [==>...........................] - ETA: 2:14 - loss: 264.3594 - logits_profile_predictions_loss: 261.3313 - logcount_predictions_loss: 0.2830 139/1106 [==>...........................] - ETA: 2:13 - loss: 264.3468 - logits_profile_predictions_loss: 261.3184 - logcount_predictions_loss: 0.2830 140/1106 [==>...........................] - ETA: 2:13 - loss: 264.3358 - logits_profile_predictions_loss: 261.3071 - logcount_predictions_loss: 0.2831 141/1106 [==>...........................] - ETA: 2:13 - loss: 264.3257 - logits_profile_predictions_loss: 261.2966 - logcount_predictions_loss: 0.2831 142/1106 [==>...........................] - ETA: 2:13 - loss: 264.3155 - logits_profile_predictions_loss: 261.2862 - logcount_predictions_loss: 0.2831 143/1106 [==>...........................] - ETA: 2:13 - loss: 264.3050 - logits_profile_predictions_loss: 261.2754 - logcount_predictions_loss: 0.2831 144/1106 [==>...........................] - ETA: 2:13 - loss: 264.2947 - logits_profile_predictions_loss: 261.2649 - logcount_predictions_loss: 0.2832 145/1106 [==>...........................] - ETA: 2:13 - loss: 264.2846 - logits_profile_predictions_loss: 261.2545 - logcount_predictions_loss: 0.2832 146/1106 [==>...........................] - ETA: 2:12 - loss: 264.2739 - logits_profile_predictions_loss: 261.2434 - logcount_predictions_loss: 0.2832 147/1106 [==>...........................] - ETA: 2:12 - loss: 264.2636 - logits_profile_predictions_loss: 261.2329 - logcount_predictions_loss: 0.2832 148/1106 [===>..........................] - ETA: 2:12 - loss: 264.2534 - logits_profile_predictions_loss: 261.2224 - logcount_predictions_loss: 0.2833 149/1106 [===>..........................] - ETA: 2:12 - loss: 264.2453 - logits_profile_predictions_loss: 261.2140 - logcount_predictions_loss: 0.2833 150/1106 [===>..........................] - ETA: 2:12 - loss: 264.2371 - logits_profile_predictions_loss: 261.2055 - logcount_predictions_loss: 0.2833 151/1106 [===>..........................] - ETA: 2:12 - loss: 264.2283 - logits_profile_predictions_loss: 261.1965 - logcount_predictions_loss: 0.2834 152/1106 [===>..........................] - ETA: 2:12 - loss: 264.2194 - logits_profile_predictions_loss: 261.1873 - logcount_predictions_loss: 0.2834 153/1106 [===>..........................] - ETA: 2:12 - loss: 264.2101 - logits_profile_predictions_loss: 261.1777 - logcount_predictions_loss: 0.2834 154/1106 [===>..........................] - ETA: 2:11 - loss: 264.2005 - logits_profile_predictions_loss: 261.1678 - logcount_predictions_loss: 0.2834 155/1106 [===>..........................] - ETA: 2:11 - loss: 264.1900 - logits_profile_predictions_loss: 261.1570 - logcount_predictions_loss: 0.2835 156/1106 [===>..........................] - ETA: 2:11 - loss: 264.1798 - logits_profile_predictions_loss: 261.1465 - logcount_predictions_loss: 0.2835 157/1106 [===>..........................] - ETA: 2:11 - loss: 264.1701 - logits_profile_predictions_loss: 261.1364 - logcount_predictions_loss: 0.2835 158/1106 [===>..........................] - ETA: 2:11 - loss: 264.1604 - logits_profile_predictions_loss: 261.1264 - logcount_predictions_loss: 0.2835 159/1106 [===>..........................] - ETA: 2:11 - loss: 264.1513 - logits_profile_predictions_loss: 261.1171 - logcount_predictions_loss: 0.2836 160/1106 [===>..........................] - ETA: 2:11 - loss: 264.1434 - logits_profile_predictions_loss: 261.1089 - logcount_predictions_loss: 0.2836 161/1106 [===>..........................] - ETA: 2:10 - loss: 264.1360 - logits_profile_predictions_loss: 261.1012 - logcount_predictions_loss: 0.2836 162/1106 [===>..........................] - ETA: 2:10 - loss: 264.1282 - logits_profile_predictions_loss: 261.0933 - logcount_predictions_loss: 0.2836 163/1106 [===>..........................] - ETA: 2:10 - loss: 264.1201 - logits_profile_predictions_loss: 261.0849 - logcount_predictions_loss: 0.2837 164/1106 [===>..........................] - ETA: 2:10 - loss: 264.1113 - logits_profile_predictions_loss: 261.0759 - logcount_predictions_loss: 0.2837 165/1106 [===>..........................] - ETA: 2:10 - loss: 264.1027 - logits_profile_predictions_loss: 261.0672 - logcount_predictions_loss: 0.2837 166/1106 [===>..........................] - ETA: 2:10 - loss: 264.0946 - logits_profile_predictions_loss: 261.0589 - logcount_predictions_loss: 0.2837 167/1106 [===>..........................] - ETA: 2:10 - loss: 264.0862 - logits_profile_predictions_loss: 261.0504 - logcount_predictions_loss: 0.2837 168/1106 [===>..........................] - ETA: 2:09 - loss: 264.0781 - logits_profile_predictions_loss: 261.0422 - logcount_predictions_loss: 0.2837 169/1106 [===>..........................] - ETA: 2:09 - loss: 264.0713 - logits_profile_predictions_loss: 261.0353 - logcount_predictions_loss: 0.2837 170/1106 [===>..........................] - ETA: 2:09 - loss: 264.0650 - logits_profile_predictions_loss: 261.0288 - logcount_predictions_loss: 0.2838 171/1106 [===>..........................] - ETA: 2:09 - loss: 264.0590 - logits_profile_predictions_loss: 261.0227 - logcount_predictions_loss: 0.2838 172/1106 [===>..........................] - ETA: 2:09 - loss: 264.0530 - logits_profile_predictions_loss: 261.0166 - logcount_predictions_loss: 0.2838 173/1106 [===>..........................] - ETA: 2:09 - loss: 264.0461 - logits_profile_predictions_loss: 261.0095 - logcount_predictions_loss: 0.2838 174/1106 [===>..........................] - ETA: 2:09 - loss: 264.0393 - logits_profile_predictions_loss: 261.0026 - logcount_predictions_loss: 0.2838 175/1106 [===>..........................] - ETA: 2:09 - loss: 264.0326 - logits_profile_predictions_loss: 260.9957 - logcount_predictions_loss: 0.2838 176/1106 [===>..........................] - ETA: 2:09 - loss: 264.0259 - logits_profile_predictions_loss: 260.9888 - logcount_predictions_loss: 0.2838 177/1106 [===>..........................] - ETA: 2:08 - loss: 264.0194 - logits_profile_predictions_loss: 260.9822 - logcount_predictions_loss: 0.2839 178/1106 [===>..........................] - ETA: 2:08 - loss: 264.0135 - logits_profile_predictions_loss: 260.9762 - logcount_predictions_loss: 0.2839 179/1106 [===>..........................] - ETA: 2:08 - loss: 264.0079 - logits_profile_predictions_loss: 260.9705 - logcount_predictions_loss: 0.2839 180/1106 [===>..........................] - ETA: 2:08 - loss: 264.0025 - logits_profile_predictions_loss: 260.9651 - logcount_predictions_loss: 0.2839 181/1106 [===>..........................] - ETA: 2:08 - loss: 263.9976 - logits_profile_predictions_loss: 260.9601 - logcount_predictions_loss: 0.2839 182/1106 [===>..........................] - ETA: 2:08 - loss: 263.9925 - logits_profile_predictions_loss: 260.9550 - logcount_predictions_loss: 0.2839 183/1106 [===>..........................] - ETA: 2:08 - loss: 263.9877 - logits_profile_predictions_loss: 260.9502 - logcount_predictions_loss: 0.2839 184/1106 [===>..........................] - ETA: 2:07 - loss: 263.9832 - logits_profile_predictions_loss: 260.9457 - logcount_predictions_loss: 0.2839 185/1106 [====>.........................] - ETA: 2:07 - loss: 263.9789 - logits_profile_predictions_loss: 260.9414 - logcount_predictions_loss: 0.2839 186/1106 [====>.........................] - ETA: 2:07 - loss: 263.9751 - logits_profile_predictions_loss: 260.9376 - logcount_predictions_loss: 0.2839 187/1106 [====>.........................] - ETA: 2:07 - loss: 263.9709 - logits_profile_predictions_loss: 260.9333 - logcount_predictions_loss: 0.2839 188/1106 [====>.........................] - ETA: 2:07 - loss: 263.9674 - logits_profile_predictions_loss: 260.9299 - logcount_predictions_loss: 0.2839 189/1106 [====>.........................] - ETA: 2:07 - loss: 263.9636 - logits_profile_predictions_loss: 260.9261 - logcount_predictions_loss: 0.2839 190/1106 [====>.........................] - ETA: 2:07 - loss: 263.9595 - 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[====>.........................] - ETA: 2:06 - loss: 263.9270 - logits_profile_predictions_loss: 260.8897 - logcount_predictions_loss: 0.2839 198/1106 [====>.........................] - ETA: 2:05 - loss: 263.9229 - logits_profile_predictions_loss: 260.8858 - logcount_predictions_loss: 0.2839 199/1106 [====>.........................] - ETA: 2:05 - loss: 263.9187 - logits_profile_predictions_loss: 260.8816 - logcount_predictions_loss: 0.2838 200/1106 [====>.........................] - ETA: 2:05 - loss: 263.9143 - logits_profile_predictions_loss: 260.8772 - logcount_predictions_loss: 0.2838 201/1106 [====>.........................] - ETA: 2:05 - loss: 263.9102 - logits_profile_predictions_loss: 260.8732 - logcount_predictions_loss: 0.2838 202/1106 [====>.........................] - ETA: 2:05 - loss: 263.9067 - logits_profile_predictions_loss: 260.8698 - logcount_predictions_loss: 0.2838 203/1106 [====>.........................] - ETA: 2:05 - loss: 263.9033 - 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[====>.........................] - ETA: 2:04 - loss: 263.8903 - logits_profile_predictions_loss: 260.8544 - logcount_predictions_loss: 0.2837 211/1106 [====>.........................] - ETA: 2:04 - loss: 263.8895 - logits_profile_predictions_loss: 260.8536 - logcount_predictions_loss: 0.2837 212/1106 [====>.........................] - ETA: 2:04 - loss: 263.8892 - logits_profile_predictions_loss: 260.8534 - logcount_predictions_loss: 0.2837 213/1106 [====>.........................] - ETA: 2:03 - loss: 263.8885 - logits_profile_predictions_loss: 260.8528 - logcount_predictions_loss: 0.2837 214/1106 [====>.........................] - ETA: 2:03 - loss: 263.8880 - logits_profile_predictions_loss: 260.8523 - logcount_predictions_loss: 0.2837 215/1106 [====>.........................] - ETA: 2:03 - loss: 263.8877 - logits_profile_predictions_loss: 260.8521 - logcount_predictions_loss: 0.2837 216/1106 [====>.........................] - ETA: 2:03 - loss: 263.8876 - 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[=====>........................] - ETA: 2:02 - loss: 263.8850 - logits_profile_predictions_loss: 260.8506 - logcount_predictions_loss: 0.2836 224/1106 [=====>........................] - ETA: 2:02 - loss: 263.8838 - logits_profile_predictions_loss: 260.8495 - logcount_predictions_loss: 0.2836 225/1106 [=====>........................] - ETA: 2:02 - loss: 263.8824 - logits_profile_predictions_loss: 260.8483 - logcount_predictions_loss: 0.2836 226/1106 [=====>........................] - ETA: 2:02 - loss: 263.8811 - logits_profile_predictions_loss: 260.8471 - logcount_predictions_loss: 0.2836 227/1106 [=====>........................] - ETA: 2:01 - loss: 263.8803 - logits_profile_predictions_loss: 260.8465 - logcount_predictions_loss: 0.2835 228/1106 [=====>........................] - ETA: 2:01 - loss: 263.8793 - logits_profile_predictions_loss: 260.8458 - logcount_predictions_loss: 0.2835 229/1106 [=====>........................] - ETA: 2:01 - loss: 263.8784 - logits_profile_predictions_loss: 260.8450 - logcount_predictions_loss: 0.2835 230/1106 [=====>........................] - ETA: 2:01 - loss: 263.8778 - logits_profile_predictions_loss: 260.8446 - logcount_predictions_loss: 0.2835 231/1106 [=====>........................] - ETA: 2:01 - loss: 263.8769 - logits_profile_predictions_loss: 260.8440 - logcount_predictions_loss: 0.2835 232/1106 [=====>........................] - ETA: 2:01 - loss: 263.8760 - logits_profile_predictions_loss: 260.8433 - logcount_predictions_loss: 0.2834 233/1106 [=====>........................] - ETA: 2:01 - loss: 263.8750 - logits_profile_predictions_loss: 260.8424 - logcount_predictions_loss: 0.2834 234/1106 [=====>........................] - ETA: 2:00 - loss: 263.8738 - logits_profile_predictions_loss: 260.8415 - logcount_predictions_loss: 0.2834 235/1106 [=====>........................] - ETA: 2:00 - loss: 263.8726 - logits_profile_predictions_loss: 260.8404 - logcount_predictions_loss: 0.2834 236/1106 [=====>........................] - ETA: 2:00 - loss: 263.8706 - logits_profile_predictions_loss: 260.8387 - logcount_predictions_loss: 0.2834 237/1106 [=====>........................] - ETA: 2:00 - loss: 263.8685 - logits_profile_predictions_loss: 260.8369 - logcount_predictions_loss: 0.2833 238/1106 [=====>........................] - ETA: 2:00 - loss: 263.8664 - logits_profile_predictions_loss: 260.8350 - logcount_predictions_loss: 0.2833 239/1106 [=====>........................] - ETA: 2:00 - loss: 263.8646 - logits_profile_predictions_loss: 260.8334 - logcount_predictions_loss: 0.2833 240/1106 [=====>........................] - ETA: 2:00 - loss: 263.8629 - logits_profile_predictions_loss: 260.8319 - logcount_predictions_loss: 0.2833 241/1106 [=====>........................] - ETA: 1:59 - loss: 263.8609 - logits_profile_predictions_loss: 260.8301 - logcount_predictions_loss: 0.2833 242/1106 [=====>........................] - ETA: 1:59 - loss: 263.8594 - 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[=====>........................] - ETA: 1:58 - loss: 263.8477 - logits_profile_predictions_loss: 260.8187 - logcount_predictions_loss: 0.2831 250/1106 [=====>........................] - ETA: 1:58 - loss: 263.8454 - logits_profile_predictions_loss: 260.8167 - logcount_predictions_loss: 0.2831 251/1106 [=====>........................] - ETA: 1:58 - loss: 263.8424 - logits_profile_predictions_loss: 260.8140 - logcount_predictions_loss: 0.2830 252/1106 [=====>........................] - ETA: 1:58 - loss: 263.8400 - logits_profile_predictions_loss: 260.8118 - logcount_predictions_loss: 0.2830 253/1106 [=====>........................] - ETA: 1:58 - loss: 263.8376 - logits_profile_predictions_loss: 260.8096 - logcount_predictions_loss: 0.2830 254/1106 [=====>........................] - ETA: 1:58 - loss: 263.8357 - logits_profile_predictions_loss: 260.8080 - logcount_predictions_loss: 0.2830 255/1106 [=====>........................] - ETA: 1:58 - loss: 263.8336 - 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[======>.......................] - ETA: 1:57 - loss: 263.8186 - logits_profile_predictions_loss: 260.7930 - logcount_predictions_loss: 0.2828 263/1106 [======>.......................] - ETA: 1:56 - loss: 263.8168 - logits_profile_predictions_loss: 260.7914 - logcount_predictions_loss: 0.2827 264/1106 [======>.......................] - ETA: 1:56 - loss: 263.8149 - logits_profile_predictions_loss: 260.7897 - logcount_predictions_loss: 0.2827 265/1106 [======>.......................] - ETA: 1:56 - loss: 263.8130 - logits_profile_predictions_loss: 260.7881 - logcount_predictions_loss: 0.2827 266/1106 [======>.......................] - ETA: 1:56 - loss: 263.8110 - logits_profile_predictions_loss: 260.7864 - logcount_predictions_loss: 0.2827 267/1106 [======>.......................] - ETA: 1:56 - loss: 263.8093 - logits_profile_predictions_loss: 260.7849 - logcount_predictions_loss: 0.2827 268/1106 [======>.......................] - ETA: 1:56 - loss: 263.8080 - 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[======>.......................] - ETA: 1:55 - loss: 263.8001 - logits_profile_predictions_loss: 260.7778 - logcount_predictions_loss: 0.2825 276/1106 [======>.......................] - ETA: 1:55 - loss: 263.7990 - logits_profile_predictions_loss: 260.7770 - logcount_predictions_loss: 0.2824 277/1106 [======>.......................] - ETA: 1:54 - loss: 263.7975 - logits_profile_predictions_loss: 260.7757 - logcount_predictions_loss: 0.2824 278/1106 [======>.......................] - ETA: 1:54 - loss: 263.7959 - logits_profile_predictions_loss: 260.7744 - logcount_predictions_loss: 0.2824 279/1106 [======>.......................] - ETA: 1:54 - loss: 263.7944 - logits_profile_predictions_loss: 260.7731 - logcount_predictions_loss: 0.2824 280/1106 [======>.......................] - ETA: 1:54 - loss: 263.7929 - logits_profile_predictions_loss: 260.7719 - logcount_predictions_loss: 0.2823 281/1106 [======>.......................] - ETA: 1:54 - loss: 263.7915 - 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[======>.......................] - ETA: 1:53 - loss: 263.7823 - logits_profile_predictions_loss: 260.7634 - logcount_predictions_loss: 0.2821 289/1106 [======>.......................] - ETA: 1:53 - loss: 263.7813 - logits_profile_predictions_loss: 260.7626 - logcount_predictions_loss: 0.2821 290/1106 [======>.......................] - ETA: 1:53 - loss: 263.7802 - logits_profile_predictions_loss: 260.7618 - logcount_predictions_loss: 0.2821 291/1106 [======>.......................] - ETA: 1:53 - loss: 263.7792 - logits_profile_predictions_loss: 260.7611 - logcount_predictions_loss: 0.2821 292/1106 [======>.......................] - ETA: 1:52 - loss: 263.7783 - logits_profile_predictions_loss: 260.7604 - logcount_predictions_loss: 0.2821 293/1106 [======>.......................] - ETA: 1:52 - loss: 263.7776 - logits_profile_predictions_loss: 260.7599 - logcount_predictions_loss: 0.2820 294/1106 [======>.......................] - ETA: 1:52 - loss: 263.7770 - 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[=======>......................] - ETA: 1:51 - loss: 263.7721 - logits_profile_predictions_loss: 260.7564 - logcount_predictions_loss: 0.2818 302/1106 [=======>......................] - ETA: 1:51 - loss: 263.7714 - logits_profile_predictions_loss: 260.7560 - logcount_predictions_loss: 0.2818 303/1106 [=======>......................] - ETA: 1:51 - loss: 263.7704 - logits_profile_predictions_loss: 260.7553 - logcount_predictions_loss: 0.2818 304/1106 [=======>......................] - ETA: 1:51 - loss: 263.7694 - logits_profile_predictions_loss: 260.7545 - logcount_predictions_loss: 0.2818 305/1106 [=======>......................] - ETA: 1:51 - loss: 263.7686 - logits_profile_predictions_loss: 260.7539 - logcount_predictions_loss: 0.2817 306/1106 [=======>......................] - ETA: 1:50 - loss: 263.7677 - logits_profile_predictions_loss: 260.7533 - logcount_predictions_loss: 0.2817 307/1106 [=======>......................] - ETA: 1:50 - loss: 263.7672 - 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260.3795 - logcount_predictions_loss: 0.2749 1106/1106 [==============================] - 160s 145ms/step - loss: 263.3206 - logits_profile_predictions_loss: 260.3793 - logcount_predictions_loss: 0.2749 - val_loss: 276.6441 - val_logits_profile_predictions_loss: 273.2239 - val_logcount_predictions_loss: 0.3196 + +Epoch 00008: val_loss did not improve from 275.26187 +Epoch 9/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 229.6603 - logits_profile_predictions_loss: 226.8523 - logcount_predictions_loss: 0.2624 2/1106 [..............................] - ETA: 2:40 - loss: 230.9206 - logits_profile_predictions_loss: 228.2095 - logcount_predictions_loss: 0.2534 3/1106 [..............................] - ETA: 2:36 - loss: 233.3219 - logits_profile_predictions_loss: 230.5737 - logcount_predictions_loss: 0.2568 4/1106 [..............................] - ETA: 2:35 - loss: 235.6921 - logits_profile_predictions_loss: 232.8620 - logcount_predictions_loss: 0.2645 5/1106 [..............................] - ETA: 2:34 - loss: 239.1733 - logits_profile_predictions_loss: 236.2600 - logcount_predictions_loss: 0.2723 6/1106 [..............................] - ETA: 2:33 - loss: 242.0115 - logits_profile_predictions_loss: 239.0538 - logcount_predictions_loss: 0.2764 7/1106 [..............................] - ETA: 2:33 - loss: 244.0923 - logits_profile_predictions_loss: 241.1085 - logcount_predictions_loss: 0.2789 8/1106 [..............................] - ETA: 2:33 - loss: 245.7874 - logits_profile_predictions_loss: 242.7901 - logcount_predictions_loss: 0.2801 9/1106 [..............................] - ETA: 2:33 - loss: 247.1364 - logits_profile_predictions_loss: 244.1343 - logcount_predictions_loss: 0.2806 10/1106 [..............................] - ETA: 2:32 - loss: 248.1095 - logits_profile_predictions_loss: 245.0966 - logcount_predictions_loss: 0.2816 11/1106 [..............................] - ETA: 2:32 - loss: 249.1931 - logits_profile_predictions_loss: 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loss: 253.5811 - logits_profile_predictions_loss: 250.5837 - logcount_predictions_loss: 0.2801 19/1106 [..............................] - ETA: 2:31 - loss: 254.0172 - logits_profile_predictions_loss: 251.0233 - logcount_predictions_loss: 0.2798 20/1106 [..............................] - ETA: 2:30 - loss: 254.4017 - logits_profile_predictions_loss: 251.4126 - logcount_predictions_loss: 0.2794 21/1106 [..............................] - ETA: 2:30 - loss: 254.7273 - logits_profile_predictions_loss: 251.7442 - logcount_predictions_loss: 0.2788 22/1106 [..............................] - ETA: 2:30 - loss: 255.0194 - logits_profile_predictions_loss: 252.0421 - logcount_predictions_loss: 0.2783 23/1106 [..............................] - ETA: 2:30 - loss: 255.2362 - logits_profile_predictions_loss: 252.2665 - logcount_predictions_loss: 0.2775 24/1106 [..............................] - ETA: 2:30 - loss: 255.3816 - logits_profile_predictions_loss: 252.4191 - logcount_predictions_loss: 0.2769 25/1106 [..............................] - ETA: 2:30 - loss: 255.5724 - logits_profile_predictions_loss: 252.6169 - logcount_predictions_loss: 0.2762 26/1106 [..............................] - ETA: 2:30 - loss: 255.7408 - logits_profile_predictions_loss: 252.7921 - logcount_predictions_loss: 0.2756 27/1106 [..............................] - ETA: 2:29 - loss: 255.8816 - logits_profile_predictions_loss: 252.9393 - logcount_predictions_loss: 0.2750 28/1106 [..............................] - ETA: 2:29 - loss: 256.0194 - logits_profile_predictions_loss: 253.0840 - logcount_predictions_loss: 0.2743 29/1106 [..............................] - ETA: 2:29 - loss: 256.1236 - logits_profile_predictions_loss: 253.1949 - logcount_predictions_loss: 0.2737 30/1106 [..............................] - ETA: 2:29 - loss: 256.2478 - logits_profile_predictions_loss: 253.3248 - logcount_predictions_loss: 0.2732 31/1106 [..............................] - ETA: 2:29 - loss: 256.3843 - logits_profile_predictions_loss: 253.4664 - logcount_predictions_loss: 0.2727 32/1106 [..............................] - ETA: 2:29 - loss: 256.5653 - logits_profile_predictions_loss: 253.6527 - logcount_predictions_loss: 0.2722 33/1106 [..............................] - ETA: 2:29 - loss: 256.7246 - logits_profile_predictions_loss: 253.8170 - logcount_predictions_loss: 0.2717 34/1106 [..............................] - ETA: 2:28 - loss: 256.8684 - logits_profile_predictions_loss: 253.9664 - logcount_predictions_loss: 0.2712 35/1106 [..............................] - ETA: 2:28 - loss: 257.0111 - logits_profile_predictions_loss: 254.1146 - logcount_predictions_loss: 0.2707 36/1106 [..............................] - ETA: 2:28 - loss: 257.1434 - logits_profile_predictions_loss: 254.2522 - logcount_predictions_loss: 0.2702 37/1106 [>.............................] - ETA: 2:28 - loss: 257.2647 - logits_profile_predictions_loss: 254.3793 - logcount_predictions_loss: 0.2697 38/1106 [>.............................] - ETA: 2:28 - loss: 257.3776 - logits_profile_predictions_loss: 254.4973 - logcount_predictions_loss: 0.2692 39/1106 [>.............................] - ETA: 2:28 - loss: 257.4723 - logits_profile_predictions_loss: 254.5974 - logcount_predictions_loss: 0.2687 40/1106 [>.............................] - ETA: 2:27 - loss: 257.5627 - logits_profile_predictions_loss: 254.6928 - logcount_predictions_loss: 0.2682 41/1106 [>.............................] - ETA: 2:27 - loss: 257.6434 - logits_profile_predictions_loss: 254.7783 - logcount_predictions_loss: 0.2678 42/1106 [>.............................] - ETA: 2:27 - loss: 257.7203 - logits_profile_predictions_loss: 254.8600 - logcount_predictions_loss: 0.2673 43/1106 [>.............................] - ETA: 2:27 - loss: 257.8003 - logits_profile_predictions_loss: 254.9447 - logcount_predictions_loss: 0.2669 44/1106 [>.............................] - ETA: 2:27 - loss: 257.8924 - logits_profile_predictions_loss: 255.0414 - logcount_predictions_loss: 0.2664 45/1106 [>.............................] - ETA: 2:27 - loss: 257.9776 - logits_profile_predictions_loss: 255.1313 - logcount_predictions_loss: 0.2660 46/1106 [>.............................] - ETA: 2:27 - loss: 258.0418 - logits_profile_predictions_loss: 255.2000 - logcount_predictions_loss: 0.2656 47/1106 [>.............................] - ETA: 2:26 - loss: 258.1095 - logits_profile_predictions_loss: 255.2723 - logcount_predictions_loss: 0.2652 48/1106 [>.............................] - ETA: 2:26 - loss: 258.1746 - logits_profile_predictions_loss: 255.3418 - logcount_predictions_loss: 0.2647 49/1106 [>.............................] - ETA: 2:26 - loss: 258.2347 - logits_profile_predictions_loss: 255.4059 - logcount_predictions_loss: 0.2644 50/1106 [>.............................] - ETA: 2:26 - loss: 258.2948 - logits_profile_predictions_loss: 255.4701 - logcount_predictions_loss: 0.2640 51/1106 [>.............................] - ETA: 2:26 - loss: 258.3525 - logits_profile_predictions_loss: 255.5317 - logcount_predictions_loss: 0.2636 52/1106 [>.............................] - ETA: 2:26 - loss: 258.4044 - logits_profile_predictions_loss: 255.5874 - logcount_predictions_loss: 0.2633 53/1106 [>.............................] - ETA: 2:26 - loss: 258.4556 - logits_profile_predictions_loss: 255.6420 - logcount_predictions_loss: 0.2629 54/1106 [>.............................] - ETA: 2:26 - loss: 258.5106 - logits_profile_predictions_loss: 255.7003 - logcount_predictions_loss: 0.2626 55/1106 [>.............................] - ETA: 2:25 - loss: 258.5715 - logits_profile_predictions_loss: 255.7643 - logcount_predictions_loss: 0.2623 56/1106 [>.............................] - ETA: 2:25 - loss: 258.6271 - logits_profile_predictions_loss: 255.8225 - logcount_predictions_loss: 0.2621 57/1106 [>.............................] - ETA: 2:25 - loss: 258.6807 - logits_profile_predictions_loss: 255.8787 - logcount_predictions_loss: 0.2619 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logits_profile_predictions_loss: 256.2724 - logcount_predictions_loss: 0.2602 65/1106 [>.............................] - ETA: 2:24 - loss: 259.1024 - logits_profile_predictions_loss: 256.3209 - logcount_predictions_loss: 0.2599 66/1106 [>.............................] - ETA: 2:24 - loss: 259.1481 - logits_profile_predictions_loss: 256.3693 - logcount_predictions_loss: 0.2597 67/1106 [>.............................] - ETA: 2:24 - loss: 259.1898 - logits_profile_predictions_loss: 256.4136 - logcount_predictions_loss: 0.2595 68/1106 [>.............................] - ETA: 2:24 - loss: 259.2256 - logits_profile_predictions_loss: 256.4519 - logcount_predictions_loss: 0.2592 69/1106 [>.............................] - ETA: 2:23 - loss: 259.2593 - logits_profile_predictions_loss: 256.4880 - logcount_predictions_loss: 0.2590 70/1106 [>.............................] - ETA: 2:23 - loss: 259.2911 - logits_profile_predictions_loss: 256.5222 - logcount_predictions_loss: 0.2588 71/1106 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[==>...........................] - ETA: 2:17 - loss: 259.8254 - logits_profile_predictions_loss: 257.1255 - logcount_predictions_loss: 0.2523 118/1106 [==>...........................] - ETA: 2:17 - loss: 259.8172 - logits_profile_predictions_loss: 257.1183 - logcount_predictions_loss: 0.2522 119/1106 [==>...........................] - ETA: 2:16 - loss: 259.8096 - logits_profile_predictions_loss: 257.1117 - logcount_predictions_loss: 0.2521 120/1106 [==>...........................] - ETA: 2:16 - loss: 259.8023 - logits_profile_predictions_loss: 257.1054 - logcount_predictions_loss: 0.2520 121/1106 [==>...........................] - ETA: 2:16 - loss: 259.7968 - logits_profile_predictions_loss: 257.1008 - logcount_predictions_loss: 0.2520 122/1106 [==>...........................] - ETA: 2:16 - loss: 259.7917 - logits_profile_predictions_loss: 257.0965 - logcount_predictions_loss: 0.2519 123/1106 [==>...........................] - ETA: 2:16 - loss: 259.7870 - 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[==>...........................] - ETA: 2:15 - loss: 259.7498 - logits_profile_predictions_loss: 257.0609 - logcount_predictions_loss: 0.2513 131/1106 [==>...........................] - ETA: 2:15 - loss: 259.7471 - logits_profile_predictions_loss: 257.0588 - logcount_predictions_loss: 0.2512 132/1106 [==>...........................] - ETA: 2:15 - loss: 259.7463 - logits_profile_predictions_loss: 257.0587 - logcount_predictions_loss: 0.2512 133/1106 [==>...........................] - ETA: 2:14 - loss: 259.7473 - logits_profile_predictions_loss: 257.0602 - logcount_predictions_loss: 0.2511 134/1106 [==>...........................] - ETA: 2:14 - loss: 259.7474 - logits_profile_predictions_loss: 257.0609 - logcount_predictions_loss: 0.2511 135/1106 [==>...........................] - ETA: 2:14 - loss: 259.7482 - logits_profile_predictions_loss: 257.0625 - logcount_predictions_loss: 0.2510 136/1106 [==>...........................] - ETA: 2:14 - loss: 259.7472 - 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[==>...........................] - ETA: 2:13 - loss: 259.7376 - logits_profile_predictions_loss: 257.0567 - logcount_predictions_loss: 0.2506 144/1106 [==>...........................] - ETA: 2:13 - loss: 259.7365 - logits_profile_predictions_loss: 257.0561 - logcount_predictions_loss: 0.2505 145/1106 [==>...........................] - ETA: 2:13 - loss: 259.7363 - logits_profile_predictions_loss: 257.0564 - logcount_predictions_loss: 0.2505 146/1106 [==>...........................] - ETA: 2:13 - loss: 259.7352 - logits_profile_predictions_loss: 257.0558 - logcount_predictions_loss: 0.2504 147/1106 [==>...........................] - ETA: 2:12 - loss: 259.7338 - logits_profile_predictions_loss: 257.0550 - logcount_predictions_loss: 0.2504 148/1106 [===>..........................] - ETA: 2:12 - loss: 259.7324 - logits_profile_predictions_loss: 257.0540 - logcount_predictions_loss: 0.2503 149/1106 [===>..........................] - ETA: 2:12 - loss: 259.7303 - 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[============================>.] - ETA: 1s - loss: 259.0639 - logits_profile_predictions_loss: 256.4945 - logcount_predictions_loss: 0.2401 1099/1106 [============================>.] - ETA: 0s - loss: 259.0639 - logits_profile_predictions_loss: 256.4946 - logcount_predictions_loss: 0.2401 1100/1106 [============================>.] - ETA: 0s - loss: 259.0640 - logits_profile_predictions_loss: 256.4947 - logcount_predictions_loss: 0.2401 1101/1106 [============================>.] - ETA: 0s - loss: 259.0640 - logits_profile_predictions_loss: 256.4948 - logcount_predictions_loss: 0.2401 1102/1106 [============================>.] - ETA: 0s - loss: 259.0641 - logits_profile_predictions_loss: 256.4948 - logcount_predictions_loss: 0.2401 1103/1106 [============================>.] - ETA: 0s - loss: 259.0641 - logits_profile_predictions_loss: 256.4949 - logcount_predictions_loss: 0.2401 1104/1106 [============================>.] - ETA: 0s - loss: 259.0642 - logits_profile_predictions_loss: 256.4950 - logcount_predictions_loss: 0.2401 1105/1106 [============================>.] - ETA: 0s - loss: 259.0642 - logits_profile_predictions_loss: 256.4951 - logcount_predictions_loss: 0.2401 1106/1106 [==============================] - ETA: 0s - loss: 259.0643 - logits_profile_predictions_loss: 256.4952 - logcount_predictions_loss: 0.2401 1106/1106 [==============================] - 160s 145ms/step - loss: 259.0644 - logits_profile_predictions_loss: 256.4953 - logcount_predictions_loss: 0.2401 - val_loss: 277.9424 - val_logits_profile_predictions_loss: 274.4441 - val_logcount_predictions_loss: 0.3269 + +Epoch 00009: val_loss did not improve from 275.26187 +Epoch 10/50 + 1/1106 [..............................] - ETA: 2:50 - loss: 245.9119 - logits_profile_predictions_loss: 243.3232 - logcount_predictions_loss: 0.2419 2/1106 [..............................] - ETA: 2:34 - loss: 248.6553 - logits_profile_predictions_loss: 246.1240 - logcount_predictions_loss: 0.2366 3/1106 [..............................] - ETA: 2:33 - loss: 251.2283 - logits_profile_predictions_loss: 248.7521 - logcount_predictions_loss: 0.2314 4/1106 [..............................] - ETA: 2:33 - loss: 252.1278 - logits_profile_predictions_loss: 249.6920 - logcount_predictions_loss: 0.2276 5/1106 [..............................] - ETA: 2:33 - loss: 253.4826 - logits_profile_predictions_loss: 251.0576 - logcount_predictions_loss: 0.2266 6/1106 [..............................] - ETA: 2:33 - loss: 254.7595 - logits_profile_predictions_loss: 252.3162 - logcount_predictions_loss: 0.2283 7/1106 [..............................] - ETA: 2:32 - loss: 255.9344 - logits_profile_predictions_loss: 253.4615 - logcount_predictions_loss: 0.2311 8/1106 [..............................] - ETA: 2:32 - loss: 257.3111 - logits_profile_predictions_loss: 254.8209 - logcount_predictions_loss: 0.2327 9/1106 [..............................] - ETA: 2:32 - loss: 258.2686 - logits_profile_predictions_loss: 255.7582 - logcount_predictions_loss: 0.2346 10/1106 [..............................] - ETA: 2:32 - loss: 258.7401 - logits_profile_predictions_loss: 256.2248 - logcount_predictions_loss: 0.2351 11/1106 [..............................] - ETA: 2:32 - loss: 258.9297 - logits_profile_predictions_loss: 256.4142 - logcount_predictions_loss: 0.2351 12/1106 [..............................] - ETA: 2:32 - loss: 258.9363 - logits_profile_predictions_loss: 256.4180 - logcount_predictions_loss: 0.2354 13/1106 [..............................] - ETA: 2:31 - loss: 258.8128 - logits_profile_predictions_loss: 256.2934 - logcount_predictions_loss: 0.2355 14/1106 [..............................] - ETA: 2:31 - loss: 258.8047 - logits_profile_predictions_loss: 256.2868 - logcount_predictions_loss: 0.2353 15/1106 [..............................] - ETA: 2:31 - loss: 258.7857 - logits_profile_predictions_loss: 256.2704 - logcount_predictions_loss: 0.2351 16/1106 [..............................] - ETA: 2:31 - loss: 258.7662 - logits_profile_predictions_loss: 256.2560 - logcount_predictions_loss: 0.2346 17/1106 [..............................] - ETA: 2:31 - loss: 258.6852 - logits_profile_predictions_loss: 256.1787 - logcount_predictions_loss: 0.2343 18/1106 [..............................] - ETA: 2:31 - loss: 258.5695 - logits_profile_predictions_loss: 256.0686 - logcount_predictions_loss: 0.2337 19/1106 [..............................] - ETA: 2:31 - loss: 258.4760 - logits_profile_predictions_loss: 255.9811 - logcount_predictions_loss: 0.2332 20/1106 [..............................] - ETA: 2:30 - loss: 258.4286 - logits_profile_predictions_loss: 255.9400 - logcount_predictions_loss: 0.2326 21/1106 [..............................] - ETA: 2:30 - loss: 258.4631 - logits_profile_predictions_loss: 255.9792 - logcount_predictions_loss: 0.2321 22/1106 [..............................] - ETA: 2:30 - loss: 258.5143 - logits_profile_predictions_loss: 256.0346 - logcount_predictions_loss: 0.2317 23/1106 [..............................] - ETA: 2:30 - loss: 258.5377 - logits_profile_predictions_loss: 256.0619 - logcount_predictions_loss: 0.2314 24/1106 [..............................] - ETA: 2:30 - loss: 258.5969 - logits_profile_predictions_loss: 256.1238 - logcount_predictions_loss: 0.2311 25/1106 [..............................] - ETA: 2:30 - loss: 258.6666 - logits_profile_predictions_loss: 256.1965 - logcount_predictions_loss: 0.2309 26/1106 [..............................] - ETA: 2:30 - loss: 258.7163 - logits_profile_predictions_loss: 256.2485 - logcount_predictions_loss: 0.2306 27/1106 [..............................] - ETA: 2:29 - loss: 258.7777 - logits_profile_predictions_loss: 256.3129 - logcount_predictions_loss: 0.2304 28/1106 [..............................] - ETA: 2:29 - loss: 258.8079 - logits_profile_predictions_loss: 256.3463 - logcount_predictions_loss: 0.2301 29/1106 [..............................] - ETA: 2:29 - loss: 258.8493 - logits_profile_predictions_loss: 256.3900 - logcount_predictions_loss: 0.2298 30/1106 [..............................] - ETA: 2:29 - loss: 258.9029 - logits_profile_predictions_loss: 256.4460 - logcount_predictions_loss: 0.2296 31/1106 [..............................] - ETA: 2:29 - loss: 258.9590 - logits_profile_predictions_loss: 256.5046 - logcount_predictions_loss: 0.2294 32/1106 [..............................] - ETA: 2:29 - loss: 259.0138 - logits_profile_predictions_loss: 256.5628 - logcount_predictions_loss: 0.2291 33/1106 [..............................] - ETA: 2:29 - loss: 259.0632 - logits_profile_predictions_loss: 256.6151 - logcount_predictions_loss: 0.2288 34/1106 [..............................] - ETA: 2:28 - loss: 259.0863 - logits_profile_predictions_loss: 256.6413 - logcount_predictions_loss: 0.2285 35/1106 [..............................] - ETA: 2:28 - loss: 259.0999 - logits_profile_predictions_loss: 256.6581 - logcount_predictions_loss: 0.2282 36/1106 [..............................] - ETA: 2:28 - loss: 259.1068 - logits_profile_predictions_loss: 256.6683 - logcount_predictions_loss: 0.2279 37/1106 [>.............................] - ETA: 2:28 - loss: 259.1193 - logits_profile_predictions_loss: 256.6837 - logcount_predictions_loss: 0.2276 38/1106 [>.............................] - ETA: 2:28 - loss: 259.1116 - logits_profile_predictions_loss: 256.6790 - logcount_predictions_loss: 0.2274 39/1106 [>.............................] - ETA: 2:28 - loss: 259.1156 - logits_profile_predictions_loss: 256.6859 - logcount_predictions_loss: 0.2271 40/1106 [>.............................] - ETA: 2:28 - loss: 259.1159 - logits_profile_predictions_loss: 256.6892 - logcount_predictions_loss: 0.2268 41/1106 [>.............................] - ETA: 2:27 - loss: 259.1153 - logits_profile_predictions_loss: 256.6919 - logcount_predictions_loss: 0.2265 42/1106 [>.............................] - ETA: 2:27 - loss: 259.1100 - logits_profile_predictions_loss: 256.6892 - logcount_predictions_loss: 0.2262 43/1106 [>.............................] - ETA: 2:27 - loss: 259.1152 - logits_profile_predictions_loss: 256.6971 - logcount_predictions_loss: 0.2260 44/1106 [>.............................] - ETA: 2:27 - loss: 259.1141 - logits_profile_predictions_loss: 256.6988 - logcount_predictions_loss: 0.2257 45/1106 [>.............................] - ETA: 2:27 - loss: 259.1389 - logits_profile_predictions_loss: 256.7267 - logcount_predictions_loss: 0.2255 46/1106 [>.............................] - ETA: 2:27 - loss: 259.1666 - logits_profile_predictions_loss: 256.7572 - logcount_predictions_loss: 0.2252 47/1106 [>.............................] - ETA: 2:27 - loss: 259.1884 - logits_profile_predictions_loss: 256.7820 - logcount_predictions_loss: 0.2249 48/1106 [>.............................] - ETA: 2:26 - loss: 259.2107 - logits_profile_predictions_loss: 256.8071 - logcount_predictions_loss: 0.2246 49/1106 [>.............................] - ETA: 2:26 - loss: 259.2247 - logits_profile_predictions_loss: 256.8239 - logcount_predictions_loss: 0.2244 50/1106 [>.............................] - ETA: 2:26 - loss: 259.2375 - logits_profile_predictions_loss: 256.8389 - logcount_predictions_loss: 0.2242 51/1106 [>.............................] - ETA: 2:26 - loss: 259.2452 - logits_profile_predictions_loss: 256.8490 - logcount_predictions_loss: 0.2239 52/1106 [>.............................] - ETA: 2:26 - loss: 259.2535 - logits_profile_predictions_loss: 256.8595 - logcount_predictions_loss: 0.2237 53/1106 [>.............................] - ETA: 2:26 - loss: 259.2593 - logits_profile_predictions_loss: 256.8676 - logcount_predictions_loss: 0.2235 54/1106 [>.............................] - ETA: 2:26 - loss: 259.2654 - logits_profile_predictions_loss: 256.8758 - logcount_predictions_loss: 0.2233 55/1106 [>.............................] - ETA: 2:25 - loss: 259.2765 - logits_profile_predictions_loss: 256.8889 - logcount_predictions_loss: 0.2231 56/1106 [>.............................] - ETA: 2:25 - loss: 259.2834 - logits_profile_predictions_loss: 256.8980 - logcount_predictions_loss: 0.2229 57/1106 [>.............................] - ETA: 2:25 - loss: 259.2893 - logits_profile_predictions_loss: 256.9056 - logcount_predictions_loss: 0.2228 58/1106 [>.............................] - ETA: 2:25 - loss: 259.2976 - logits_profile_predictions_loss: 256.9154 - logcount_predictions_loss: 0.2226 59/1106 [>.............................] - ETA: 2:25 - loss: 259.3004 - logits_profile_predictions_loss: 256.9197 - logcount_predictions_loss: 0.2225 60/1106 [>.............................] - ETA: 2:25 - loss: 259.3069 - logits_profile_predictions_loss: 256.9277 - logcount_predictions_loss: 0.2224 61/1106 [>.............................] - ETA: 2:25 - loss: 259.3138 - logits_profile_predictions_loss: 256.9359 - logcount_predictions_loss: 0.2222 62/1106 [>.............................] - ETA: 2:24 - loss: 259.3253 - logits_profile_predictions_loss: 256.9485 - logcount_predictions_loss: 0.2221 63/1106 [>.............................] - ETA: 2:24 - loss: 259.3299 - logits_profile_predictions_loss: 256.9545 - logcount_predictions_loss: 0.2220 64/1106 [>.............................] - ETA: 2:24 - loss: 259.3286 - logits_profile_predictions_loss: 256.9544 - logcount_predictions_loss: 0.2219 65/1106 [>.............................] - ETA: 2:24 - loss: 259.3316 - logits_profile_predictions_loss: 256.9588 - logcount_predictions_loss: 0.2218 66/1106 [>.............................] - ETA: 2:24 - loss: 259.3361 - logits_profile_predictions_loss: 256.9646 - logcount_predictions_loss: 0.2216 67/1106 [>.............................] - ETA: 2:24 - loss: 259.3449 - logits_profile_predictions_loss: 256.9745 - logcount_predictions_loss: 0.2215 68/1106 [>.............................] - ETA: 2:24 - loss: 259.3519 - logits_profile_predictions_loss: 256.9825 - logcount_predictions_loss: 0.2214 69/1106 [>.............................] - ETA: 2:23 - loss: 259.3573 - logits_profile_predictions_loss: 256.9890 - logcount_predictions_loss: 0.2213 70/1106 [>.............................] - ETA: 2:23 - loss: 259.3631 - logits_profile_predictions_loss: 256.9959 - logcount_predictions_loss: 0.2212 71/1106 [>.............................] - ETA: 2:23 - loss: 259.3663 - logits_profile_predictions_loss: 257.0004 - logcount_predictions_loss: 0.2211 72/1106 [>.............................] - ETA: 2:23 - loss: 259.3635 - logits_profile_predictions_loss: 256.9988 - logcount_predictions_loss: 0.2210 73/1106 [>.............................] - ETA: 2:23 - loss: 259.3652 - logits_profile_predictions_loss: 257.0016 - logcount_predictions_loss: 0.2209 74/1106 [=>............................] - ETA: 2:23 - loss: 259.3735 - logits_profile_predictions_loss: 257.0110 - logcount_predictions_loss: 0.2208 75/1106 [=>............................] - ETA: 2:23 - loss: 259.3782 - logits_profile_predictions_loss: 257.0168 - logcount_predictions_loss: 0.2207 76/1106 [=>............................] - ETA: 2:22 - loss: 259.3833 - logits_profile_predictions_loss: 257.0228 - logcount_predictions_loss: 0.2206 77/1106 [=>............................] - ETA: 2:22 - loss: 259.3871 - logits_profile_predictions_loss: 257.0277 - logcount_predictions_loss: 0.2205 78/1106 [=>............................] - ETA: 2:22 - loss: 259.3893 - logits_profile_predictions_loss: 257.0310 - logcount_predictions_loss: 0.2204 79/1106 [=>............................] - ETA: 2:22 - loss: 259.3918 - logits_profile_predictions_loss: 257.0344 - logcount_predictions_loss: 0.2203 80/1106 [=>............................] - ETA: 2:22 - loss: 259.3927 - logits_profile_predictions_loss: 257.0364 - logcount_predictions_loss: 0.2202 81/1106 [=>............................] - ETA: 2:22 - loss: 259.3941 - logits_profile_predictions_loss: 257.0389 - logcount_predictions_loss: 0.2201 82/1106 [=>............................] - ETA: 2:22 - loss: 259.3909 - logits_profile_predictions_loss: 257.0367 - logcount_predictions_loss: 0.2200 83/1106 [=>............................] - ETA: 2:21 - loss: 259.3838 - logits_profile_predictions_loss: 257.0303 - logcount_predictions_loss: 0.2200 84/1106 [=>............................] - ETA: 2:21 - loss: 259.3742 - logits_profile_predictions_loss: 257.0215 - logcount_predictions_loss: 0.2199 85/1106 [=>............................] - ETA: 2:21 - loss: 259.3633 - logits_profile_predictions_loss: 257.0114 - logcount_predictions_loss: 0.2198 86/1106 [=>............................] - ETA: 2:21 - loss: 259.3510 - logits_profile_predictions_loss: 256.9998 - logcount_predictions_loss: 0.2197 87/1106 [=>............................] - ETA: 2:21 - loss: 259.3400 - logits_profile_predictions_loss: 256.9894 - logcount_predictions_loss: 0.2197 88/1106 [=>............................] - ETA: 2:21 - loss: 259.3330 - logits_profile_predictions_loss: 256.9830 - logcount_predictions_loss: 0.2196 89/1106 [=>............................] - ETA: 2:21 - loss: 259.3270 - logits_profile_predictions_loss: 256.9776 - logcount_predictions_loss: 0.2196 90/1106 [=>............................] - ETA: 2:20 - loss: 259.3248 - logits_profile_predictions_loss: 256.9757 - logcount_predictions_loss: 0.2195 91/1106 [=>............................] - ETA: 2:20 - loss: 259.3247 - logits_profile_predictions_loss: 256.9760 - logcount_predictions_loss: 0.2195 92/1106 [=>............................] - ETA: 2:20 - loss: 259.3271 - logits_profile_predictions_loss: 256.9787 - logcount_predictions_loss: 0.2195 93/1106 [=>............................] - ETA: 2:20 - loss: 259.3296 - logits_profile_predictions_loss: 256.9816 - logcount_predictions_loss: 0.2194 94/1106 [=>............................] - ETA: 2:20 - loss: 259.3346 - logits_profile_predictions_loss: 256.9868 - logcount_predictions_loss: 0.2194 95/1106 [=>............................] - ETA: 2:20 - loss: 259.3389 - logits_profile_predictions_loss: 256.9914 - logcount_predictions_loss: 0.2194 96/1106 [=>............................] - ETA: 2:20 - loss: 259.3453 - logits_profile_predictions_loss: 256.9982 - logcount_predictions_loss: 0.2194 97/1106 [=>............................] - ETA: 2:19 - loss: 259.3509 - logits_profile_predictions_loss: 257.0041 - logcount_predictions_loss: 0.2193 98/1106 [=>............................] - ETA: 2:19 - loss: 259.3576 - logits_profile_predictions_loss: 257.0111 - logcount_predictions_loss: 0.2193 99/1106 [=>............................] - ETA: 2:19 - loss: 259.3643 - logits_profile_predictions_loss: 257.0181 - logcount_predictions_loss: 0.2193 100/1106 [=>............................] - ETA: 2:19 - loss: 259.3690 - logits_profile_predictions_loss: 257.0230 - logcount_predictions_loss: 0.2193 101/1106 [=>............................] - ETA: 2:19 - loss: 259.3729 - logits_profile_predictions_loss: 257.0271 - logcount_predictions_loss: 0.2192 102/1106 [=>............................] - ETA: 2:19 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0.2191 109/1106 [=>............................] - ETA: 2:18 - loss: 259.3873 - logits_profile_predictions_loss: 257.0437 - logcount_predictions_loss: 0.2190 110/1106 [=>............................] - ETA: 2:18 - loss: 259.3881 - logits_profile_predictions_loss: 257.0447 - logcount_predictions_loss: 0.2190 111/1106 [==>...........................] - ETA: 2:18 - loss: 259.3879 - logits_profile_predictions_loss: 257.0448 - logcount_predictions_loss: 0.2190 112/1106 [==>...........................] - ETA: 2:17 - loss: 259.3865 - logits_profile_predictions_loss: 257.0436 - logcount_predictions_loss: 0.2190 113/1106 [==>...........................] - ETA: 2:17 - loss: 259.3870 - logits_profile_predictions_loss: 257.0444 - logcount_predictions_loss: 0.2189 114/1106 [==>...........................] - ETA: 2:17 - loss: 259.3858 - logits_profile_predictions_loss: 257.0435 - logcount_predictions_loss: 0.2189 115/1106 [==>...........................] - ETA: 2:17 - loss: 259.3844 - logits_profile_predictions_loss: 257.0425 - logcount_predictions_loss: 0.2189 116/1106 [==>...........................] - ETA: 2:17 - loss: 259.3834 - logits_profile_predictions_loss: 257.0418 - logcount_predictions_loss: 0.2188 117/1106 [==>...........................] - ETA: 2:17 - loss: 259.3801 - logits_profile_predictions_loss: 257.0388 - logcount_predictions_loss: 0.2188 118/1106 [==>...........................] - ETA: 2:17 - loss: 259.3777 - logits_profile_predictions_loss: 257.0368 - logcount_predictions_loss: 0.2188 119/1106 [==>...........................] - ETA: 2:16 - loss: 259.3763 - logits_profile_predictions_loss: 257.0357 - logcount_predictions_loss: 0.2188 120/1106 [==>...........................] - ETA: 2:16 - loss: 259.3757 - logits_profile_predictions_loss: 257.0355 - logcount_predictions_loss: 0.2187 121/1106 [==>...........................] - ETA: 2:16 - loss: 259.3742 - logits_profile_predictions_loss: 257.0343 - logcount_predictions_loss: 0.2187 122/1106 [==>...........................] - ETA: 2:16 - loss: 259.3723 - logits_profile_predictions_loss: 257.0328 - logcount_predictions_loss: 0.2187 123/1106 [==>...........................] - ETA: 2:16 - loss: 259.3700 - logits_profile_predictions_loss: 257.0308 - logcount_predictions_loss: 0.2186 124/1106 [==>...........................] - ETA: 2:16 - loss: 259.3695 - logits_profile_predictions_loss: 257.0306 - logcount_predictions_loss: 0.2186 125/1106 [==>...........................] - ETA: 2:16 - loss: 259.3690 - logits_profile_predictions_loss: 257.0304 - logcount_predictions_loss: 0.2186 126/1106 [==>...........................] - ETA: 2:15 - loss: 259.3679 - logits_profile_predictions_loss: 257.0296 - logcount_predictions_loss: 0.2185 127/1106 [==>...........................] - ETA: 2:15 - loss: 259.3663 - logits_profile_predictions_loss: 257.0284 - logcount_predictions_loss: 0.2185 128/1106 [==>...........................] - ETA: 2:15 - loss: 259.3651 - logits_profile_predictions_loss: 257.0275 - logcount_predictions_loss: 0.2185 129/1106 [==>...........................] - ETA: 2:15 - loss: 259.3632 - logits_profile_predictions_loss: 257.0258 - logcount_predictions_loss: 0.2185 130/1106 [==>...........................] - ETA: 2:15 - loss: 259.3613 - logits_profile_predictions_loss: 257.0243 - logcount_predictions_loss: 0.2184 131/1106 [==>...........................] - ETA: 2:15 - loss: 259.3594 - logits_profile_predictions_loss: 257.0226 - logcount_predictions_loss: 0.2184 132/1106 [==>...........................] - ETA: 2:15 - loss: 259.3573 - logits_profile_predictions_loss: 257.0208 - logcount_predictions_loss: 0.2184 133/1106 [==>...........................] - ETA: 2:14 - loss: 259.3557 - logits_profile_predictions_loss: 257.0195 - logcount_predictions_loss: 0.2183 134/1106 [==>...........................] - ETA: 2:14 - loss: 259.3539 - logits_profile_predictions_loss: 257.0179 - logcount_predictions_loss: 0.2183 135/1106 [==>...........................] - ETA: 2:14 - loss: 259.3516 - logits_profile_predictions_loss: 257.0157 - logcount_predictions_loss: 0.2183 136/1106 [==>...........................] - ETA: 2:14 - loss: 259.3482 - logits_profile_predictions_loss: 257.0126 - logcount_predictions_loss: 0.2183 137/1106 [==>...........................] - ETA: 2:14 - loss: 259.3460 - logits_profile_predictions_loss: 257.0106 - logcount_predictions_loss: 0.2183 138/1106 [==>...........................] - ETA: 2:14 - loss: 259.3435 - logits_profile_predictions_loss: 257.0083 - logcount_predictions_loss: 0.2182 139/1106 [==>...........................] - ETA: 2:14 - loss: 259.3422 - logits_profile_predictions_loss: 257.0073 - logcount_predictions_loss: 0.2182 140/1106 [==>...........................] - ETA: 2:13 - loss: 259.3415 - logits_profile_predictions_loss: 257.0068 - logcount_predictions_loss: 0.2182 141/1106 [==>...........................] - ETA: 2:13 - loss: 259.3394 - logits_profile_predictions_loss: 257.0050 - logcount_predictions_loss: 0.2182 142/1106 [==>...........................] - ETA: 2:13 - loss: 259.3359 - logits_profile_predictions_loss: 257.0017 - logcount_predictions_loss: 0.2182 143/1106 [==>...........................] - ETA: 2:13 - loss: 259.3317 - logits_profile_predictions_loss: 256.9978 - logcount_predictions_loss: 0.2181 144/1106 [==>...........................] - ETA: 2:13 - loss: 259.3283 - logits_profile_predictions_loss: 256.9946 - logcount_predictions_loss: 0.2181 145/1106 [==>...........................] - ETA: 2:13 - loss: 259.3249 - logits_profile_predictions_loss: 256.9914 - logcount_predictions_loss: 0.2181 146/1106 [==>...........................] - ETA: 2:13 - loss: 259.3220 - logits_profile_predictions_loss: 256.9886 - logcount_predictions_loss: 0.2181 147/1106 [==>...........................] - ETA: 2:13 - loss: 259.3197 - logits_profile_predictions_loss: 256.9865 - logcount_predictions_loss: 0.2181 148/1106 [===>..........................] - ETA: 2:12 - loss: 259.3184 - logits_profile_predictions_loss: 256.9853 - logcount_predictions_loss: 0.2180 149/1106 [===>..........................] - ETA: 2:12 - loss: 259.3181 - logits_profile_predictions_loss: 256.9852 - logcount_predictions_loss: 0.2180 150/1106 [===>..........................] - ETA: 2:12 - loss: 259.3176 - logits_profile_predictions_loss: 256.9850 - logcount_predictions_loss: 0.2180 151/1106 [===>..........................] - ETA: 2:12 - loss: 259.3165 - logits_profile_predictions_loss: 256.9841 - logcount_predictions_loss: 0.2180 152/1106 [===>..........................] - ETA: 2:12 - loss: 259.3155 - logits_profile_predictions_loss: 256.9833 - logcount_predictions_loss: 0.2180 153/1106 [===>..........................] - ETA: 2:12 - loss: 259.3145 - logits_profile_predictions_loss: 256.9826 - logcount_predictions_loss: 0.2179 154/1106 [===>..........................] - ETA: 2:12 - loss: 259.3129 - logits_profile_predictions_loss: 256.9811 - logcount_predictions_loss: 0.2179 155/1106 [===>..........................] - ETA: 2:11 - loss: 259.3127 - logits_profile_predictions_loss: 256.9811 - logcount_predictions_loss: 0.2179 156/1106 [===>..........................] - ETA: 2:11 - loss: 259.3132 - logits_profile_predictions_loss: 256.9817 - logcount_predictions_loss: 0.2179 157/1106 [===>..........................] - ETA: 2:11 - loss: 259.3127 - logits_profile_predictions_loss: 256.9814 - logcount_predictions_loss: 0.2179 158/1106 [===>..........................] - ETA: 2:11 - loss: 259.3129 - logits_profile_predictions_loss: 256.9818 - logcount_predictions_loss: 0.2179 159/1106 [===>..........................] - ETA: 2:11 - loss: 259.3130 - logits_profile_predictions_loss: 256.9820 - logcount_predictions_loss: 0.2179 160/1106 [===>..........................] - ETA: 2:11 - loss: 259.3135 - logits_profile_predictions_loss: 256.9827 - logcount_predictions_loss: 0.2178 161/1106 [===>..........................] - ETA: 2:11 - loss: 259.3143 - logits_profile_predictions_loss: 256.9837 - logcount_predictions_loss: 0.2178 162/1106 [===>..........................] - ETA: 2:10 - loss: 259.3156 - logits_profile_predictions_loss: 256.9851 - logcount_predictions_loss: 0.2178 163/1106 [===>..........................] - ETA: 2:10 - loss: 259.3169 - logits_profile_predictions_loss: 256.9866 - logcount_predictions_loss: 0.2178 164/1106 [===>..........................] - ETA: 2:10 - loss: 259.3186 - logits_profile_predictions_loss: 256.9884 - logcount_predictions_loss: 0.2178 165/1106 [===>..........................] - ETA: 2:10 - loss: 259.3208 - logits_profile_predictions_loss: 256.9908 - logcount_predictions_loss: 0.2178 166/1106 [===>..........................] - ETA: 2:10 - loss: 259.3229 - logits_profile_predictions_loss: 256.9931 - logcount_predictions_loss: 0.2177 167/1106 [===>..........................] - ETA: 2:10 - loss: 259.3258 - logits_profile_predictions_loss: 256.9962 - logcount_predictions_loss: 0.2177 168/1106 [===>..........................] - ETA: 2:10 - loss: 259.3288 - logits_profile_predictions_loss: 256.9993 - logcount_predictions_loss: 0.2177 169/1106 [===>..........................] - ETA: 2:09 - loss: 259.3325 - logits_profile_predictions_loss: 257.0031 - logcount_predictions_loss: 0.2177 170/1106 [===>..........................] - ETA: 2:09 - loss: 259.3363 - logits_profile_predictions_loss: 257.0070 - logcount_predictions_loss: 0.2177 171/1106 [===>..........................] - ETA: 2:09 - loss: 259.3407 - logits_profile_predictions_loss: 257.0115 - logcount_predictions_loss: 0.2177 172/1106 [===>..........................] - ETA: 2:09 - loss: 259.3447 - logits_profile_predictions_loss: 257.0156 - logcount_predictions_loss: 0.2177 173/1106 [===>..........................] - ETA: 2:09 - loss: 259.3488 - logits_profile_predictions_loss: 257.0198 - logcount_predictions_loss: 0.2177 174/1106 [===>..........................] - ETA: 2:09 - loss: 259.3530 - logits_profile_predictions_loss: 257.0241 - logcount_predictions_loss: 0.2177 175/1106 [===>..........................] - ETA: 2:09 - loss: 259.3562 - logits_profile_predictions_loss: 257.0273 - logcount_predictions_loss: 0.2177 176/1106 [===>..........................] - ETA: 2:09 - loss: 259.3602 - logits_profile_predictions_loss: 257.0314 - logcount_predictions_loss: 0.2177 177/1106 [===>..........................] - ETA: 2:08 - loss: 259.3636 - logits_profile_predictions_loss: 257.0349 - logcount_predictions_loss: 0.2176 178/1106 [===>..........................] - ETA: 2:08 - loss: 259.3667 - logits_profile_predictions_loss: 257.0380 - logcount_predictions_loss: 0.2176 179/1106 [===>..........................] - ETA: 2:08 - loss: 259.3694 - logits_profile_predictions_loss: 257.0408 - logcount_predictions_loss: 0.2176 180/1106 [===>..........................] - ETA: 2:08 - loss: 259.3725 - logits_profile_predictions_loss: 257.0440 - logcount_predictions_loss: 0.2176 181/1106 [===>..........................] - ETA: 2:08 - loss: 259.3749 - logits_profile_predictions_loss: 257.0465 - logcount_predictions_loss: 0.2176 182/1106 [===>..........................] - ETA: 2:08 - loss: 259.3768 - logits_profile_predictions_loss: 257.0485 - logcount_predictions_loss: 0.2176 183/1106 [===>..........................] - ETA: 2:08 - loss: 259.3774 - logits_profile_predictions_loss: 257.0492 - logcount_predictions_loss: 0.2176 184/1106 [===>..........................] - ETA: 2:07 - loss: 259.3775 - logits_profile_predictions_loss: 257.0494 - logcount_predictions_loss: 0.2176 185/1106 [====>.........................] - ETA: 2:07 - loss: 259.3771 - logits_profile_predictions_loss: 257.0491 - logcount_predictions_loss: 0.2176 186/1106 [====>.........................] - ETA: 2:07 - loss: 259.3765 - logits_profile_predictions_loss: 257.0486 - logcount_predictions_loss: 0.2176 187/1106 [====>.........................] - ETA: 2:07 - loss: 259.3758 - logits_profile_predictions_loss: 257.0480 - logcount_predictions_loss: 0.2176 188/1106 [====>.........................] - ETA: 2:07 - loss: 259.3749 - logits_profile_predictions_loss: 257.0472 - logcount_predictions_loss: 0.2175 189/1106 [====>.........................] - ETA: 2:07 - loss: 259.3737 - logits_profile_predictions_loss: 257.0461 - logcount_predictions_loss: 0.2175 190/1106 [====>.........................] - ETA: 2:07 - loss: 259.3724 - logits_profile_predictions_loss: 257.0450 - logcount_predictions_loss: 0.2175 191/1106 [====>.........................] - ETA: 2:06 - loss: 259.3713 - logits_profile_predictions_loss: 257.0439 - logcount_predictions_loss: 0.2175 192/1106 [====>.........................] - ETA: 2:06 - loss: 259.3693 - logits_profile_predictions_loss: 257.0421 - logcount_predictions_loss: 0.2175 193/1106 [====>.........................] - ETA: 2:06 - loss: 259.3670 - logits_profile_predictions_loss: 257.0399 - logcount_predictions_loss: 0.2175 194/1106 [====>.........................] - ETA: 2:06 - loss: 259.3650 - logits_profile_predictions_loss: 257.0381 - logcount_predictions_loss: 0.2175 195/1106 [====>.........................] - ETA: 2:06 - loss: 259.3628 - logits_profile_predictions_loss: 257.0360 - logcount_predictions_loss: 0.2175 196/1106 [====>.........................] - ETA: 2:06 - loss: 259.3603 - logits_profile_predictions_loss: 257.0337 - logcount_predictions_loss: 0.2174 197/1106 [====>.........................] - ETA: 2:06 - loss: 259.3579 - logits_profile_predictions_loss: 257.0314 - logcount_predictions_loss: 0.2174 198/1106 [====>.........................] - ETA: 2:06 - loss: 259.3555 - logits_profile_predictions_loss: 257.0292 - logcount_predictions_loss: 0.2174 199/1106 [====>.........................] - ETA: 2:05 - loss: 259.3528 - logits_profile_predictions_loss: 257.0267 - logcount_predictions_loss: 0.2174 200/1106 [====>.........................] - ETA: 2:05 - loss: 259.3510 - logits_profile_predictions_loss: 257.0250 - logcount_predictions_loss: 0.2174 201/1106 [====>.........................] - ETA: 2:05 - loss: 259.3494 - logits_profile_predictions_loss: 257.0235 - logcount_predictions_loss: 0.2174 202/1106 [====>.........................] - ETA: 2:05 - loss: 259.3482 - logits_profile_predictions_loss: 257.0224 - logcount_predictions_loss: 0.2174 203/1106 [====>.........................] - ETA: 2:05 - loss: 259.3460 - logits_profile_predictions_loss: 257.0204 - logcount_predictions_loss: 0.2174 204/1106 [====>.........................] - ETA: 2:05 - loss: 259.3438 - logits_profile_predictions_loss: 257.0184 - logcount_predictions_loss: 0.2173 205/1106 [====>.........................] - ETA: 2:05 - loss: 259.3420 - logits_profile_predictions_loss: 257.0167 - logcount_predictions_loss: 0.2173 206/1106 [====>.........................] - ETA: 2:04 - loss: 259.3397 - logits_profile_predictions_loss: 257.0145 - logcount_predictions_loss: 0.2173 207/1106 [====>.........................] - ETA: 2:04 - loss: 259.3376 - logits_profile_predictions_loss: 257.0126 - logcount_predictions_loss: 0.2173 208/1106 [====>.........................] - ETA: 2:04 - loss: 259.3355 - logits_profile_predictions_loss: 257.0106 - logcount_predictions_loss: 0.2173 209/1106 [====>.........................] - ETA: 2:04 - loss: 259.3327 - logits_profile_predictions_loss: 257.0080 - logcount_predictions_loss: 0.2173 210/1106 [====>.........................] - ETA: 2:04 - loss: 259.3301 - logits_profile_predictions_loss: 257.0055 - logcount_predictions_loss: 0.2173 211/1106 [====>.........................] - ETA: 2:04 - loss: 259.3275 - logits_profile_predictions_loss: 257.0030 - logcount_predictions_loss: 0.2172 212/1106 [====>.........................] - ETA: 2:04 - loss: 259.3246 - logits_profile_predictions_loss: 257.0003 - logcount_predictions_loss: 0.2172 213/1106 [====>.........................] - ETA: 2:03 - loss: 259.3217 - logits_profile_predictions_loss: 256.9975 - logcount_predictions_loss: 0.2172 214/1106 [====>.........................] - ETA: 2:03 - loss: 259.3195 - logits_profile_predictions_loss: 256.9954 - logcount_predictions_loss: 0.2172 215/1106 [====>.........................] - ETA: 2:03 - loss: 259.3169 - logits_profile_predictions_loss: 256.9929 - logcount_predictions_loss: 0.2172 216/1106 [====>.........................] - ETA: 2:03 - loss: 259.3145 - logits_profile_predictions_loss: 256.9906 - logcount_predictions_loss: 0.2172 217/1106 [====>.........................] - ETA: 2:03 - loss: 259.3121 - logits_profile_predictions_loss: 256.9883 - logcount_predictions_loss: 0.2172 218/1106 [====>.........................] - ETA: 2:03 - loss: 259.3095 - logits_profile_predictions_loss: 256.9858 - logcount_predictions_loss: 0.2172 219/1106 [====>.........................] - ETA: 2:03 - loss: 259.3067 - 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1090/1106 [============================>.] - ETA: 2s - loss: 257.5211 - logits_profile_predictions_loss: 255.1984 - logcount_predictions_loss: 0.2171 1091/1106 [============================>.] - ETA: 2s - loss: 257.5203 - logits_profile_predictions_loss: 255.1976 - logcount_predictions_loss: 0.2171 1092/1106 [============================>.] - ETA: 1s - loss: 257.5196 - logits_profile_predictions_loss: 255.1969 - logcount_predictions_loss: 0.2171 1093/1106 [============================>.] - ETA: 1s - loss: 257.5189 - logits_profile_predictions_loss: 255.1961 - logcount_predictions_loss: 0.2171 1094/1106 [============================>.] - ETA: 1s - loss: 257.5181 - logits_profile_predictions_loss: 255.1954 - logcount_predictions_loss: 0.2171 1095/1106 [============================>.] - ETA: 1s - loss: 257.5174 - logits_profile_predictions_loss: 255.1947 - logcount_predictions_loss: 0.2171 1096/1106 [============================>.] - ETA: 1s - loss: 257.5167 - logits_profile_predictions_loss: 255.1939 - logcount_predictions_loss: 0.2171 1097/1106 [============================>.] - ETA: 1s - loss: 257.5159 - logits_profile_predictions_loss: 255.1932 - logcount_predictions_loss: 0.2171 1098/1106 [============================>.] - ETA: 1s - loss: 257.5152 - logits_profile_predictions_loss: 255.1924 - logcount_predictions_loss: 0.2171 1099/1106 [============================>.] - ETA: 0s - loss: 257.5144 - logits_profile_predictions_loss: 255.1917 - logcount_predictions_loss: 0.2171 1100/1106 [============================>.] - ETA: 0s - loss: 257.5137 - logits_profile_predictions_loss: 255.1909 - logcount_predictions_loss: 0.2171 1101/1106 [============================>.] - ETA: 0s - loss: 257.5129 - logits_profile_predictions_loss: 255.1902 - logcount_predictions_loss: 0.2171 1102/1106 [============================>.] - ETA: 0s - loss: 257.5122 - logits_profile_predictions_loss: 255.1894 - logcount_predictions_loss: 0.2171 1103/1106 [============================>.] - ETA: 0s - loss: 257.5114 - logits_profile_predictions_loss: 255.1887 - logcount_predictions_loss: 0.2171 1104/1106 [============================>.] - ETA: 0s - loss: 257.5107 - logits_profile_predictions_loss: 255.1879 - logcount_predictions_loss: 0.2171 1105/1106 [============================>.] - ETA: 0s - loss: 257.5099 - logits_profile_predictions_loss: 255.1871 - logcount_predictions_loss: 0.2171 1106/1106 [==============================] - ETA: 0s - loss: 257.5091 - logits_profile_predictions_loss: 255.1864 - logcount_predictions_loss: 0.2171 1106/1106 [==============================] - 160s 145ms/step - loss: 257.5084 - logits_profile_predictions_loss: 255.1856 - logcount_predictions_loss: 0.2171 - val_loss: 279.0845 - val_logits_profile_predictions_loss: 275.6205 - val_logcount_predictions_loss: 0.3237 + +Epoch 00010: val_loss did not improve from 275.26187 +Restoring model weights from the end of the best epoch. +Epoch 00010: early stopping +save model +save model without bias +2022-09-22_05-55-33: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(17626, 10) +loading nonpeaks... +got split:test for bed regions:(17498, 10) +0/138 +100/138 +2022-09-22_05-56-59: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(17626, 10) +loading nonpeaks... +got split:test for bed regions:(17498, 10) +0/138 +100/138 +2022-09-22_05-58-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(17626, 10) +loading nonpeaks... +got split:test for bed regions:(17498, 10) +0/138 +100/138 +2022-09-22_05-59-15: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_05-59-15: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 1:40 3/18 [====>.........................] - ETA: 4s  4/18 [=====>........................] - ETA: 5s 5/18 [=======>......................] - ETA: 6s 6/18 [=========>....................] - ETA: 6s 7/18 [==========>...................] - ETA: 5s 8/18 [============>.................] - ETA: 5s 9/18 [==============>...............] - ETA: 4s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 3s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 2s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 20s 806ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 645ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 9s 3/18 [====>.........................] - ETA: 9s 4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 8s 6/18 [=========>....................] - ETA: 7s 7/18 [==========>...................] - ETA: 6s 8/18 [============>.................] - ETA: 6s 9/18 [==============>...............] - ETA: 5s 10/18 [===============>..............] - ETA: 4s 11/18 [=================>............] - ETA: 4s 12/18 [===================>..........] - ETA: 3s 13/18 [====================>.........] - ETA: 3s 14/18 [======================>.......] - ETA: 2s 15/18 [========================>.....] - ETA: 1s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 11s 646ms/step +Saving marginal footprints +2022-09-22_06-01-25: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_06-01-25: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_3//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 40s 3/18 [====>.........................] - ETA: 0s  4/18 [=====>........................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 4s 77ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 0s 4/18 [=====>........................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 52ms/step + 1/18 [>.............................] - ETA: 0s 3/18 [====>.........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - 1s 53ms/step +Saving marginal footprints diff --git a/fold_3/model.bias_scaled.fold_3.ENCSR823ZCR.h5 b/fold_3/model.bias_scaled.fold_3.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..b6293f5452450a4cde669e43606337de687416c4 --- /dev/null +++ b/fold_3/model.bias_scaled.fold_3.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6b2748cea156f495391a71fd280ddbb8c07bbd0dac1383ecc744a8df05c3d42 +size 2688440 diff --git a/fold_3/model.bias_scaled.fold_3.ENCSR823ZCR.tar b/fold_3/model.bias_scaled.fold_3.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..b45ab705fcc3e7774e2385974a1c96c42291d7a4 --- /dev/null +++ b/fold_3/model.bias_scaled.fold_3.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:764f72b3742f6bd248966b5e4c56018e154bcd49488f7b12cad1c5c947f165e6 +size 1198080 diff --git a/fold_3/model.chrombpnet.fold_3.ENCSR823ZCR.h5 b/fold_3/model.chrombpnet.fold_3.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..7c12ac272a6f0109c63040276191dc6a2fd72703 --- /dev/null +++ b/fold_3/model.chrombpnet.fold_3.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9fb227c10a056193ddff4d6d2d17c04f1766d68d6981acc672d6bb14fc65d0dd +size 26447928 diff --git a/fold_3/model.chrombpnet.fold_3.ENCSR823ZCR.tar b/fold_3/model.chrombpnet.fold_3.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..8e525da23607646a66aa4dfec10a2c4a81583a35 --- /dev/null +++ b/fold_3/model.chrombpnet.fold_3.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:84b9d27051fcc91b1de7190aab74b51ea63225f4d47406b57576242a97a60107 +size 27607040 diff --git a/fold_3/model.chrombpnet_nobias.fold_3.ENCSR823ZCR.h5 b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..6eed3f5353ae8e5f01dd44e03ef502c6f97850d7 --- /dev/null +++ b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1224ff28cb151d0e0b6ab9d4a72de3b665dae984d21595167f00b073f4096f8 +size 25583536 diff --git a/fold_3/model.chrombpnet_nobias.fold_3.ENCSR823ZCR.tar b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..70bfe7cef8329a534c8df37920e4c3f33e14c98d --- /dev/null +++ b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1fe49527936eb498c613ab366747bb33e6f155a549672ee93a52326e19aab451 +size 26081280 diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.args.json b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.args.json new file mode 100644 index 0000000000000000000000000000000000000000..6ae6471e410f2e2294510963d8dbcfba472c7f71 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.batch_loss.tsv b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..8c3278b24577c7c86b8ba9ffa2dd5c1260324063 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.batch_loss.tsv @@ -0,0 +1,12123 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 1.9714717864990234 298.1029052734375 277.2052917480469 None None None +0 1 67.6705551147461 998.3917846679688 281.0838623046875 None None None +0 2 45.70951843261719 763.2335815429688 278.7126159667969 None None None +0 3 34.74372863769531 645.2645263671875 276.98095703125 None None None +0 4 28.106945037841797 570.9888305664062 273.05517578125 None None None +0 5 23.826988220214844 533.8322143554688 281.26611328125 None None None +0 6 20.63529396057129 495.1886901855469 276.4545593261719 None None None +0 7 18.297195434570312 472.3929443359375 278.44268798828125 None None None +0 8 16.49007225036621 453.4236755371094 278.62890625 None None None +0 9 15.016932487487793 437.28900146484375 278.1095275878906 None None None +0 10 13.838595390319824 425.6390380859375 278.9499206542969 None None None +0 11 12.83076000213623 414.3855895996094 278.3795471191406 None None None +0 12 12.006800651550293 405.75958251953125 278.4875183105469 None None None +0 13 11.293898582458496 398.69488525390625 278.9795837402344 None None None +0 14 10.691182136535645 394.2742614746094 280.9477233886719 None None None +0 15 10.140164375305176 388.67529296875 281.1895751953125 None None None +0 16 9.65515422821045 383.5835876464844 281.239013671875 None None None +0 17 9.20537281036377 377.3270263671875 279.7500915527344 None None None +0 18 8.802391052246094 371.96649169921875 278.6611633300781 None None None +0 19 8.439844131469727 366.8802490234375 277.4179382324219 None None None +0 20 8.11937427520752 362.69866943359375 276.63336181640625 None None None +0 21 7.83364725112915 360.4277648925781 277.3911437988281 None None None +0 22 7.575500965118408 357.99554443359375 277.6952819824219 None None None +0 23 7.327754497528076 354.7603454589844 277.086181640625 None None None +0 24 7.128274917602539 353.9394226074219 278.3797302246094 None None None +0 25 6.929081439971924 352.1426086425781 278.69439697265625 None None None +0 26 6.739681720733643 349.86138916015625 278.4208068847656 None None None +0 27 6.54611349105835 346.42840576171875 277.03961181640625 None None None +0 28 6.392151832580566 345.0956115722656 277.3387756347656 None None None +0 29 6.22969388961792 342.7121276855469 276.6773681640625 None None None +0 30 6.085679054260254 340.5218811035156 276.0137023925781 None None None +0 31 5.966075897216797 340.1047058105469 276.8642883300781 None None None +0 32 5.8508710861206055 339.376708984375 277.35748291015625 None None None +0 33 5.735590934753418 338.485107421875 277.6878662109375 None None None +0 34 5.614139556884766 336.4752502441406 276.96539306640625 None None None +0 35 5.497973442077637 334.2674865722656 275.989013671875 None None None +0 36 5.406003475189209 333.46905517578125 276.1654968261719 None None None +0 37 5.311824798583984 332.43109130859375 276.12579345703125 None None None +0 38 5.232261657714844 332.12164306640625 276.6596984863281 None None None +0 39 5.145411968231201 330.90350341796875 276.3621826171875 None None None +0 40 5.067169189453125 330.21356201171875 276.5015869140625 None None None +0 41 4.992530822753906 329.4361572265625 276.515380859375 None None None +0 42 4.923544406890869 329.1006164550781 276.9111022949219 None None None +0 43 4.8572678565979 328.7381896972656 277.251220703125 None None None +0 44 4.790061950683594 327.7229919433594 276.94842529296875 None None None +0 45 4.728697299957275 327.1767883300781 277.0527038574219 None None None +0 46 4.663091659545898 326.2989807128906 276.87030029296875 None None None +0 47 4.6076483726501465 325.9983825683594 277.1573791503906 None None None +0 48 4.5488457679748535 325.23291015625 277.0152282714844 None None None +0 49 4.499266147613525 325.0137023925781 277.321533203125 None None None +0 50 4.448883056640625 324.4154052734375 277.25732421875 None None None +0 51 4.397836685180664 323.5658874511719 276.9488525390625 None None None +0 52 4.34209680557251 322.3519592285156 276.3258056640625 None None None +0 53 4.291408538818359 321.5072326660156 276.01837158203125 None None None +0 54 4.250821590423584 321.2846984863281 276.22607421875 None None None +0 55 4.2101335525512695 320.8800964355469 276.25274658203125 None None None +0 56 4.170395851135254 320.4582214355469 276.2521057128906 None None None +0 57 4.134203910827637 320.3407287597656 276.51824951171875 None None None +0 58 4.095396041870117 319.802734375 276.3916015625 None None None +0 59 4.060571670532227 319.5289306640625 276.4869384765625 None None None +0 60 4.023798942565918 318.9297790527344 276.277587890625 None None None +0 61 3.9835054874420166 318.11260986328125 275.8875427246094 None None None +0 62 3.9558916091918945 318.1976623535156 276.2652893066406 None None None +0 63 3.9240894317626953 318.01666259765625 276.42138671875 None None None +0 64 3.890901565551758 317.3772277832031 276.1337585449219 None None None +0 65 3.8530986309051514 316.4669189453125 275.6241455078125 None None None +0 66 3.8289294242858887 316.5940856933594 276.0074768066406 None None None +0 67 3.79958438873291 316.37005615234375 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0.2091003656387329 254.87965393066406 252.66302490234375 None None None diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.bias_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9bab6f767d0fa974f0d5fd80adb104338566ee5 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 14:15:55.688174: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.855512: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.862010: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 14:15:58.899644: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.899745: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.931373: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.931506: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.946299: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.952847: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.976812: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.982698: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.983982: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.985979: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.986334: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 14:15:58.987249: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 14:15:58.987517: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 14:15:58.987549: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:15:58.987575: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 14:15:58.987597: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 14:15:58.987618: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 14:15:58.987639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 14:15:58.987660: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 14:15:58.987681: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 14:15:58.987702: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 14:15:58.988068: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 14:15:58.989407: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 14:16:00.782581: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 14:16:00.782689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 14:16:00.782708: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 14:16:00.785672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:04:00.0, compute capability: 6.0) +2023-07-14 14:16:01.639471: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.bias_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0b96f6c8a1fa6f3164b9867c5c43e60d798cbcf --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/new_model_formats/bias_model_scaled diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet.params.json b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..4716093df56b2f95e2066dbc00bd177db4083e38 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "10.6", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_data_params.tsv b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..ba860114ac5cfcfdabec2d9f942e168e4b91bc25 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 12.0 +counts_sum_max_thresh 662.0 +trainings_pts_post_thresh 76335 diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..6badc80a84568036fdf4b15fcd954747dc7f6556 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-14 16:31:35.515693: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:38.563169: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:38.567899: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:31:38.599601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 16:31:38.599666: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:38.626803: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:38.626960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:38.640307: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:38.646097: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:38.668484: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:38.674151: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:38.675308: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:38.677973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:38.678412: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:31:38.679431: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:31:38.679733: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-14 16:31:38.679765: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:38.679791: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:31:38.679829: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:31:38.679852: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:31:38.679889: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:31:38.679912: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:31:38.679934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:31:38.679957: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:31:38.680387: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:31:38.681937: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:31:40.580318: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:31:40.580414: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:31:40.580432: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:31:40.588662: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:03:00.0, compute capability: 6.0) +2023-07-14 16:31:42.954903: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..98cab6da73abb07ed6d00f9cdfaf3296856bc064 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/new_model_formats/chrombpnet diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_model_params.tsv b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..347b308c0984acced1124e0cbebbf4dc9cbd62fc --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 10.6 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ec2a2f1ff86c125ad5886f5b5525cd5f099bd0b --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/new_model_formats/chrombpnet_wo_bias diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ec2a2f1ff86c125ad5886f5b5525cd5f099bd0b --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//chrombpnet_model_feb15_fold_4/new_model_formats/chrombpnet_wo_bias diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.epoch_loss.csv b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..ba67ca4ab99278b345f750e1e055b339feb9fa75 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.epoch_loss.csv @@ -0,0 +1,12 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.871272325515747,271.48834228515625,291.323974609375,0.4526708722114563,275.11480712890625,279.9130554199219 +1,0.41255998611450195,267.61907958984375,271.9921569824219,0.37705716490745544,272.2820129394531,276.2789611816406 +2,0.36067095398902893,265.4072265625,269.2301025390625,0.3562466502189636,272.2176513671875,275.9938659667969 +3,0.3406502902507782,264.2074890136719,267.8184509277344,0.3180122971534729,270.9269104003906,274.2978515625 +4,0.3228357136249542,263.37078857421875,266.79290771484375,0.3149269223213196,271.1103820800781,274.4486083984375 +5,0.3089078664779663,262.58843994140625,265.86297607421875,0.3202784061431885,270.60626220703125,274.00115966796875 +6,0.2922476828098297,261.19451904296875,264.2923889160156,0.3093566298484802,271.440673828125,274.71990966796875 +7,0.27667784690856934,260.2074279785156,263.1400146484375,0.30793336033821106,271.82977294921875,275.0938415527344 +8,0.25979241728782654,258.3128356933594,261.0668640136719,0.29946643114089966,272.4924011230469,275.6668395996094 +9,0.2231629192829132,255.1799774169922,257.5457763671875,0.3575853109359741,273.4143371582031,277.2047119140625 +10,0.2091003656387329,252.66302490234375,254.87965393066406,0.2999326288700104,274.8434753417969,278.0227355957031 diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.stderr.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..d89efd1c0329b23fb9cf3cb6d6515d841b2631bb --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.stderr.txt @@ -0,0 +1,5997 @@ +2022-09-22 05:24:47.367117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:28.738984: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:26:28.740584: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:26:28.771415: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 05:26:28.771484: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:28.795155: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:28.795246: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:28.808307: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:26:28.814113: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:26:28.834922: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:26:28.840728: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:26:28.842069: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:28.844187: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:26:28.844525: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:26:28.844594: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:26:28.844893: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 05:26:28.844920: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:28.844936: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:28.844951: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:28.844964: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:26:28.844984: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:26:28.844998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:26:28.845011: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:26:28.845024: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:28.845511: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:26:28.847019: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:26:30.389893: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:26:30.390000: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:26:30.390013: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:26:30.394563: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 22429 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:c5:00.0, compute capability: 8.6) +2022-09-22 05:26:31.067424: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:26:31.075978: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499805000 Hz +2022-09-22 05:26:31.246556: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:26:32.763229: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:26:32.771989: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:26:38.857383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:38.857562: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Unimplemented: /usr/local/cuda-11.0/bin/ptxas ptxas too old. Falling back to the driver to compile. +Relying on driver to perform ptx compilation. +Modify $PATH to customize ptxas location. +This message will be only logged once. +2022-09-22 05:26:38.956011: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.054483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.150739: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.247858: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.343661: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.440383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.537771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.635081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.730913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.827396: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:39.924574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.023712: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.120456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.216942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.314661: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.418082: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.514612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.612094: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.708507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.808951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:40.904794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.002261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.098721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.195174: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.292031: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.397234: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.493448: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.590392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.686421: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.782692: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.878822: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:41.978106: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.074035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.171177: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.271987: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.371790: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.466899: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.563993: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.659786: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.756191: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.853001: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:42.949913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.045980: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.142765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.239067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.336387: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.432851: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.532744: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.628685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.725476: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.821894: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:43.919760: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.014981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.112124: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.209402: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.306260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.402760: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.500009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.595774: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.692987: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.788598: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.886395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:44.982414: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.081425: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.180961: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.278222: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.375538: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.515446: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.613436: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.711482: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.810648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:45.907917: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.004888: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.101981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.202192: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.299759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.396018: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.493834: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.589616: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.700636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.797930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.900782: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:46.996493: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.100815: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.196877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.300466: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.396340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.504686: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.601364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.709645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.806597: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:47.904412: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:48.000690: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:48.098651: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:48.194606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:59.751761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:59.853797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:26:59.954275: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.053737: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.153630: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.254579: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.355012: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.454151: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.554223: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.654037: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.753942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.853534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:00.953553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.053273: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.154729: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.255213: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.357752: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.457576: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.558171: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.658580: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.759066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.857803: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:01.957058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.056427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.156760: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.255509: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.358013: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.458306: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.558010: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.657232: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.757692: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.856599: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:02.957405: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.057216: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.157122: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.256269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.356417: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.455040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.556278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.655378: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.754728: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.854104: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:03.954801: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.053624: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.153654: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.253599: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.353797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.453173: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.556176: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.655380: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.801160: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.900656: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:04.999690: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.098435: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.198872: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.297838: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.398240: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.498353: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.599475: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.700372: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.802096: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:05.901303: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.000992: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.100566: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.201161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.300256: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.400878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.499366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.598981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.698074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.798683: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.897555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:06.997910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.097099: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.197285: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.296875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.396792: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.495764: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.596036: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.694565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.799262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:07.899925: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.000922: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.099745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.201405: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.300500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.401385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.500304: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.603169: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.702421: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.808756: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:08.909297: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:09.009003: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:09.108211: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:09.207541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:09.306635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:27:11.288821: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:27:12.838219: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:27:12.838913: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 05:27:12.865815: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 05:27:12.865899: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:27:12.867914: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:27:12.867960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:27:12.868875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:27:12.869049: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:27:12.871147: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:27:12.871615: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:27:12.871738: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:27:12.872357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:27:12.872660: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 05:27:12.872726: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 05:27:12.873037: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 05:27:12.873059: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:27:12.873074: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:27:12.873088: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:27:12.873101: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 05:27:12.873114: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 05:27:12.873126: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 05:27:12.873138: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 05:27:12.873168: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:27:12.873680: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 05:27:12.873708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 05:27:13.234945: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 05:27:13.235036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 05:27:13.235049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 05:27:13.236055: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 22429 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:c5:00.0, compute capability: 8.6) +2022-09-22 05:28:58.041955: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 05:28:58.042365: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499805000 Hz +2022-09-22 05:28:59.475689: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 05:28:59.882502: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 05:28:59.898290: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 05:29:01.593286: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:01.593462: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Unimplemented: /usr/local/cuda-11.0/bin/ptxas ptxas too old. Falling back to the driver to compile. +Relying on driver to perform ptx compilation. +Modify $PATH to customize ptxas location. +This message will be only logged once. +2022-09-22 05:29:01.800425: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:02.005833: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:02.212480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:02.419789: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:02.624255: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:02.831138: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:03.035266: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:03.242953: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:03.450148: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:03.681652: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:03.888885: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:04.095134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:04.301411: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:04.510333: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:04.715736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:04.925859: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:05.131098: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:05.341797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:05.549873: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:05.760311: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:05.966979: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:06.172445: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:06.380658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:06.587279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:06.794981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:07.004740: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:07.209718: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:07.417672: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:07.623349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:07.832251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:08.037348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:08.249067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:08.457505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:08.663869: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:08.872548: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:09.079335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:09.285740: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:09.492087: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:09.698854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:09.906156: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:10.112473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:10.320648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:10.525018: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:10.732431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:10.938324: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:11.143375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:11.349578: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:11.563161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:11.769112: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:11.985049: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:12.190123: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:12.405932: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:12.611401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:12.828798: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:13.032842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:13.251340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:13.458163: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:13.674505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:13.918982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:14.129039: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:14.335155: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:14.548844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:14.753078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:14.972975: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:15.177553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:15.414035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:15.665751: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:15.873120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:16.077301: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:16.284272: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:16.489554: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:16.696721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:16.900843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:17.107537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:17.311780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:17.518658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:17.724308: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:17.930286: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:18.134405: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:18.352724: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:18.557685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:18.773907: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:19.070060: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:19.302404: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:19.507772: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:19.723254: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:19.927585: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:20.144889: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:20.349084: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:20.577299: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:20.781940: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:20.996896: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:21.201737: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:21.415804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:21.628608: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:21.846862: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:22.051408: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:22.260291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:22.464006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:22.674081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:22.879410: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:23.084428: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:23.287663: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:23.494915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:23.698942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:23.904698: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:24.111447: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:24.319242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:24.523968: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:24.731763: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:24.938563: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:25.151493: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:25.360257: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:25.575373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:25.779880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:25.994285: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:26.199744: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:26.414002: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:26.618097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:26.835225: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:27.040149: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:27.255787: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:27.462548: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:27.674647: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:27.879776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:28.091062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:28.296098: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:28.514545: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:28.718948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:28.926289: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:29.195222: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:29.400642: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:29.605688: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:29.811626: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:30.017368: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:30.239006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:30.444108: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:30.650270: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:30.854591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:31.061212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:31.266768: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:31.473192: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:31.677838: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:31.903766: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:32.108069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:32.323756: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:32.529871: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:32.746342: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:32.952815: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:33.167862: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:33.371648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:33.595064: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:33.798502: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:34.012854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:34.278442: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:34.492069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:34.699283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:34.912140: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:35.117700: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:35.343432: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:35.554137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:35.777888: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:35.983670: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:36.205238: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:36.410752: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:36.632703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:36.838981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:37.066373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:37.273542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:37.480949: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:37.686325: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:37.899612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:38.107367: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:38.323209: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:38.528994: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:38.744457: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:38.949502: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:39.166548: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:39.377980: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:39.594865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:39.800652: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:40.017944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:40.225956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:40.440016: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:40.646766: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:40.862284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:41.068863: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:41.292409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:41.500056: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:41.715150: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:41.921300: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:42.135866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:42.341899: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:42.558669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:42.765315: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:42.982033: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:43.189243: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:43.405959: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:43.614218: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:43.826285: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:44.030823: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:44.244645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:44.616291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:44.843726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:45.049701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:45.261438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:45.547663: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:45.760538: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:45.964139: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:46.177572: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:46.382275: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:46.597404: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:46.802679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:47.018746: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:47.223905: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:47.439040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:47.642851: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:47.860526: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:48.066051: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:48.300313: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:48.507415: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:48.717660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:48.920329: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:49.133015: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:49.337149: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:49.547465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:49.752466: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:49.964097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:50.170416: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:50.399548: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:50.603212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:50.831519: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:51.036864: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:51.265014: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:51.468902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:51.702568: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:51.907220: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:52.145059: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:52.357742: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:52.599318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:52.803389: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:53.045295: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:53.248669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:53.457463: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:53.661565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:53.869786: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:54.073454: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:54.086293: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2022-09-22 05:29:54.316230: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:54.519317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:54.734216: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:54.938630: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:55.156765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:55.360721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:55.577155: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:55.782555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:55.997561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:56.202689: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:56.417009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:56.621548: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:56.840196: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:57.047154: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:57.254982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:57.460052: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:57.683095: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:57.890378: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:58.098383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:58.306922: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:58.552703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:58.757383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:59.002041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:59.220425: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:59.447210: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:59.661924: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:29:59.889114: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:00.094152: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:00.420740: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:00.634046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:00.952521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:01.160352: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:01.379984: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:01.589003: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:01.803437: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:02.015351: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:02.233902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:02.445135: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:02.879747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:03.088916: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:03.320681: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:03.530431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:03.762320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:03.969194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:04.226656: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:04.436067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:04.695242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:04.902800: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:05.128574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:05.336554: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:05.555663: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:05.765308: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:06.031596: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:06.241790: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:06.508883: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:06.716584: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:06.934250: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:07.143549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:07.361330: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:07.574321: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:07.795028: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:08.000820: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:08.320262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:08.524988: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:08.743034: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:08.949803: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:09.167413: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:09.375330: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:09.604932: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:09.812368: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:10.040211: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:10.246535: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:10.474695: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:10.680814: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:10.899679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:11.108291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:11.344353: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:11.551077: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:11.788674: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:11.996761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:12.216656: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:12.423650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:12.642090: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:12.849214: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:13.069394: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:13.277868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:13.539816: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:13.746605: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:13.963583: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:14.171314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:14.389942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:14.598065: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:14.822324: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:15.027207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:15.242635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:15.533780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:15.761516: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:15.968116: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:16.188107: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:16.395258: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:16.623051: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:16.829645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:17.073546: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:17.279132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:17.499722: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:17.706043: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:17.926534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:18.134438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:18.354199: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:18.561719: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:18.797455: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:19.002846: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:19.217355: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:19.424088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:19.642170: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:19.860460: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:20.077371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:20.284503: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:20.503649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:20.710388: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:20.938207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:21.146132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:21.369285: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:21.578881: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:21.793559: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:21.998586: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:22.222778: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:22.430796: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:22.646241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:22.852626: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:23.071213: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:23.277989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:23.497500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:23.706224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:23.926564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:24.132744: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:24.355854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:24.565181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:24.786474: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:24.993062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:25.213758: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:25.425016: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:25.642732: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:25.851847: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:26.083178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:26.289119: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:26.511797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:26.721982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:26.937650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:27.145542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:27.361473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:27.571005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:27.791458: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:28.000872: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:28.220500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:28.426835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:28.652190: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:28.860145: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:29.078521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:29.287254: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:29.508274: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:29.713606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:29.938821: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:30.146054: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:30.364352: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:30.571967: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:30.790484: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:30.998667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:31.232427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:31.441257: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:31.660710: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:31.868735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:32.085835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:32.292862: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:32.512504: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:32.720753: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:32.941716: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:33.151180: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:33.370835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:33.578573: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:33.804334: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:34.012058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:34.232244: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:34.440236: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:34.659472: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:34.866664: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:35.085819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:35.293726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:35.513985: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:35.725128: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:35.944776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:36.152894: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:36.384841: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:36.591733: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:36.811530: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:37.021328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:37.238549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:37.447468: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:37.663293: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:37.871229: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:38.087646: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:38.295610: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:38.516564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:38.722299: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:38.947375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:39.155024: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:39.376181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:39.585521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:39.802161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:40.010026: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:40.227443: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:40.436137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:40.654037: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:40.859534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:41.077654: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:41.284359: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:41.574211: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:41.782287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:41.991565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:42.197411: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:42.406755: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:42.614873: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:42.822283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:43.028223: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:43.238672: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:43.446340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:43.652561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:30:43.858845: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.1295s vs `on_train_batch_end` time: 0.1488s). Check your callbacks. +2022-09-22 05:35:54.622683: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:54.828679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:55.032306: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:55.234644: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:55.438927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:55.641311: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:55.844041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:56.051545: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:56.257467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:56.461700: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:56.664906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:56.868442: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:57.071855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:57.277686: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:57.481669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:57.686362: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:57.892069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:58.095157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:58.299831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:58.503254: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:58.707585: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:58.910478: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:59.114480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:59.318340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:59.522659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:59.727028: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:35:59.931649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:00.134017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:00.339602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:00.542828: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:00.747101: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:00.950735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:01.159123: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:01.362876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:01.568410: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:01.771133: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:01.974409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:02.178657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:02.383043: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:02.586711: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:02.791595: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:02.994271: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:03.198811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:03.402682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:03.607900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:03.810410: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:04.014390: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:04.217591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:04.428133: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:04.633363: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:04.847754: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:05.051482: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:05.265915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:05.469329: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:05.683824: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:05.888207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:06.102208: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:06.305321: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:06.519819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:06.723292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:06.934224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:07.137725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:07.348460: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:07.553235: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:07.769929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:07.973194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:08.178176: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:08.382167: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:08.587261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:08.790486: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:08.994123: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:09.197877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:09.402595: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:09.606215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:09.811067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:10.013880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:10.218635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:10.422096: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:10.626633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:10.829698: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:11.040804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:11.243941: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:11.459850: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:11.663505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:11.878176: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:12.080970: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:12.296181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:12.501433: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:12.717826: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:12.921209: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:13.137261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:13.340483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:13.551435: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:13.757724: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:13.968451: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:14.171116: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:14.389492: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:14.593036: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:14.797744: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:15.001869: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:15.208564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:15.464261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:15.694372: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:15.899454: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:16.103844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:16.307528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:16.512503: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:16.715718: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:16.929013: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:17.132794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:17.338383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:17.543484: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:17.755376: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:17.959449: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:18.172763: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:18.378261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:18.590604: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:18.793600: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:19.006941: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:19.210764: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:19.424952: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:19.629014: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:19.843400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:20.046268: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:20.257230: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:20.469535: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:20.680180: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:20.884029: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:21.104487: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:21.308562: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:21.513909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:21.719831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:21.924746: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:22.299527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:22.504839: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:22.712405: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:22.920381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:23.127552: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:23.334441: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:23.541014: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:23.750056: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:23.953638: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:24.159040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:24.364242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:24.575427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:24.779806: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:24.993524: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:25.198356: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:25.418747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:25.624403: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:25.838617: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:26.042205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:26.257868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:26.462493: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:26.679514: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:26.884678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:27.096538: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:27.301227: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:27.514735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:27.719857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:27.944770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:28.149826: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:28.367601: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:28.571371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:28.790283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:28.997395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:29.215858: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:29.420770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:29.626965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:29.831501: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:30.038810: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:30.243072: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:30.456332: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:30.660830: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:30.874660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:31.079261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:31.292274: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:31.497983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:31.711962: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:31.917507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:32.132701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:32.338691: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:32.554779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:32.759981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:32.971785: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:33.177492: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:33.389633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:33.593923: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:33.815286: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:34.019660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:34.231986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:34.437877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:34.650448: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:34.855006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:35.067630: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:35.271361: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:35.485683: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:35.696127: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:35.909882: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:36.113909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:36.324374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:36.528526: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:36.738835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:36.943474: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:37.163294: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:37.585212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:37.797720: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:38.002069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:38.215477: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:38.420793: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:38.632080: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:38.838739: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:39.051840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:39.258103: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:39.472141: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:39.676597: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:39.890855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:40.094943: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:40.310561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:40.514450: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:40.732467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:40.937152: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:41.146990: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:41.351368: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:41.561343: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:41.764806: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:41.990381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:42.194445: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:42.419219: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:42.623657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:42.836327: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:43.039780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:43.267491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:43.471839: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:43.698057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:43.902341: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:44.130461: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:44.335198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:44.570699: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:44.774863: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:45.013614: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:45.217534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:45.538144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:45.753994: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:45.960198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:46.164298: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:46.369791: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:46.574439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:46.798059: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:47.002544: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:47.217108: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:47.524386: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:47.737964: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:47.941621: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:48.155893: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:48.360313: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:48.572120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:48.775858: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:48.988212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:49.191424: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:49.406316: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:49.617835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:49.824110: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:50.028751: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:50.234121: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:50.439084: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:50.644562: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:50.849423: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:51.089927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:51.294095: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:51.534257: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:51.738559: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:51.951465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:52.155703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:52.368324: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:52.625258: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:52.944606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:53.149076: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:53.466014: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:53.670857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:53.882080: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:54.086467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:54.297348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:54.501428: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:54.714662: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:54.918784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:55.339823: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:55.543875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:55.770185: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:55.974645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:56.202003: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:56.408496: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:56.663070: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:56.867779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:57.121291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:57.325046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:57.545915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:57.750600: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:57.965857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:58.170493: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:58.431272: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:58.638315: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:58.899231: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:59.103828: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:59.318138: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:59.522660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:59.737735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:36:59.942295: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:00.158951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:00.363485: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:00.674056: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:00.878754: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:01.095832: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:01.300701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:01.517434: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:01.722662: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:01.948241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:02.153161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:02.380208: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:02.583496: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:02.837770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:03.042120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:03.259259: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:03.463505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:03.696383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:03.900771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:04.135774: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:04.340463: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:04.556320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:04.760906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:04.977213: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:05.181819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:05.399149: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:05.605849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:05.861274: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:06.065453: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:06.280849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:06.485320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:06.699940: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:06.905685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:07.120497: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:07.324911: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:07.539607: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:07.743808: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:07.967334: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:08.172469: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:08.390214: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:08.595304: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:08.818618: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:09.022999: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:09.246948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:09.452218: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:09.669358: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:09.875335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:10.092706: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:10.297532: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:10.514868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:10.719958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:10.950375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:11.155221: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:11.368123: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:11.572879: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:11.786288: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:11.990692: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:12.204937: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:12.410556: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:12.624814: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:12.831054: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:13.055542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:13.260195: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:13.479676: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:13.683636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:13.896848: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:14.101653: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:14.315188: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:14.520289: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:14.734069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:14.939887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:15.153570: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:15.359655: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:15.659997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:15.865307: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:16.081679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:16.288012: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:16.507188: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:16.712093: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:16.930205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:17.135136: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:17.351924: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:17.560650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:17.779109: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:17.985705: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:18.213198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:18.419738: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:18.639278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:18.845662: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:19.056930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:19.262501: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:19.475887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:19.682196: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:19.900202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:20.106340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:20.322255: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:20.526679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:20.749097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:20.955078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:21.171104: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:21.377153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:21.595594: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:21.802318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:22.020427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:22.226844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:22.442673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:22.648753: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:22.864665: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:23.070258: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:23.300078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:23.506666: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:23.723869: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:23.931500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:24.146199: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:24.351779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:24.566823: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:24.773944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:24.993314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:25.201814: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:25.419940: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:25.626777: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:25.851394: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:26.057321: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:26.273292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:26.478741: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:26.694717: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:26.900765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:27.117124: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:27.322907: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:27.540605: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:27.746906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:27.963418: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:28.170349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:28.401622: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:28.610670: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:28.830511: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:29.043260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:29.260963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:29.473253: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:29.693523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:29.914615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:30.137624: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:30.346934: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:30.567224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:30.777699: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:31.004436: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:31.214065: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:31.438146: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:31.647475: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:31.870103: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:32.082487: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:32.301602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:32.511323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:32.733900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:32.949296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:33.170244: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:33.380392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:33.603280: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:33.813319: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:34.020423: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:34.224981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:34.432577: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:34.636823: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:34.842261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:35.046685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:35.254928: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:35.459958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:35.667002: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:37:35.871814: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:13.242606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:13.449498: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:13.652930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:13.859400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:14.068829: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:14.274768: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:14.480739: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:14.685016: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:14.890685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:15.095525: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:15.302063: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:15.593781: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:15.800376: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:16.006910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:16.212209: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:16.417942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:16.625841: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:16.830490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:17.036418: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:17.243334: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:17.448031: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:17.653603: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:17.861449: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:18.065887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:18.270591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:18.478349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:18.683348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:18.888696: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:19.098823: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:19.304432: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:19.512459: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:19.718994: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:19.926963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:20.143691: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:20.351901: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:20.560866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:20.768645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:20.973954: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:21.180838: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:21.387445: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:21.594542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:21.801631: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:22.010534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:22.218606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:22.426303: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:22.633233: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:22.838916: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:23.044745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:23.252999: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:23.458347: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:23.668671: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:23.877202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:24.083842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:24.290559: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:24.497961: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:24.703894: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:24.913757: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:25.121289: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:25.328237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:25.535640: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:25.747543: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:25.952085: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:26.163545: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:26.371317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:26.578678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:26.783942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:26.991715: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:27.199401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:27.405641: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:27.611730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:27.816958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:28.024925: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:28.234416: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:28.440416: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:28.647196: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:28.854699: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:29.060401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:29.265779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:29.473658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:29.681161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:29.889017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:30.095991: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:30.303713: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:30.509863: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:30.717489: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:30.925021: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:31.131089: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:31.341053: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:31.548602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:31.754776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:31.963173: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:32.169189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:32.378857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:32.586002: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:32.796129: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:33.001020: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:33.211044: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:33.419162: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:33.624436: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:33.830157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:34.037539: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:34.246135: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:34.452264: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:34.659898: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:34.865814: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:35.070818: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:35.278351: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:35.485213: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:35.694223: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:35.902789: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:36.109446: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:36.317007: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:36.525777: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:36.731920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:36.939344: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:37.146966: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:37.357686: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:37.563310: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:37.770222: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:37.976390: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:38.184614: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:38.391568: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:38.601491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:38.809847: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:39.017046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:39.225714: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:39.433562: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:39.639132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:39.849447: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:40.055178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:40.261306: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:40.472746: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:40.680441: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:40.886233: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:41.093366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:41.298906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:41.505634: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:41.714379: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:41.918920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:42.125641: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:42.336386: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:42.543183: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:42.747932: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:42.955221: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:43.163311: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:43.368224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:43.577023: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:43.783807: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:43.992355: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:44.199541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:44.408003: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:44.613295: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:44.821170: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:45.029522: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:45.237726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:45.524153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:45.731471: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:45.938443: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:46.144843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:46.351128: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:46.577902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:46.785765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:46.991937: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:47.200078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:47.407581: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:47.613307: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:47.823358: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:48.030237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:48.238780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:48.444189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:48.655542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:48.863197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:49.070438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:49.276616: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:49.486555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:49.692199: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:49.901268: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:50.108775: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:50.320849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:50.527938: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:50.789745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:50.996902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:51.204843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:51.410365: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:51.618109: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:51.824785: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:52.035502: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:52.240831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:52.448151: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:52.655000: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:52.864733: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:53.069409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:53.278185: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:53.485205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:53.693757: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:53.902171: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:54.109601: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:54.314162: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:54.529450: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:54.736687: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:54.944997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:55.151520: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:55.359832: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:55.565809: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:55.798424: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:56.005271: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:56.236997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:56.444721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:56.653127: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:56.860245: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:57.070796: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:57.278701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:57.488242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:57.693611: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:57.901881: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:58.122298: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:58.329690: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:58.537194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:58.745434: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:58.950990: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:59.159893: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:59.367226: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:59.574473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:38:59.781985: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:00.000373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:00.205659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:00.424547: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:00.633139: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:00.842341: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:01.170915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:01.381272: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:01.586813: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:01.796868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:02.003674: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:02.213306: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:02.418607: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:02.626529: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:02.834161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:03.040046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:03.247071: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:03.454724: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:03.662836: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:03.869840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:04.077339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:04.309042: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:04.516337: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:04.749832: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:04.956026: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:05.164688: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:05.371095: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:05.581569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:05.794497: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:06.003515: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:06.306574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:06.515400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:06.722667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:06.930827: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:07.137088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:07.345409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:07.552500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:07.765037: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:07.970552: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:08.179260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:08.386538: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:08.594137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:08.802102: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:09.008552: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 05:39:09.213547: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:03.232158: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:38:05.777295: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:38:05.778074: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:38:05.806267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:38:05.806352: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:38:05.808463: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:38:05.808509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:38:05.809449: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:38:05.809624: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:38:05.811807: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:38:05.812278: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:38:05.812400: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:38:05.812984: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:38:05.813292: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:38:05.813364: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:38:05.813650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:38:05.813672: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:38:05.813689: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:38:05.813704: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:38:05.813718: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:38:05.813732: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:38:05.813746: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:38:05.813760: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:38:05.813773: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:38:05.814254: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:38:05.814283: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:38:06.203372: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:38:06.203470: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:38:06.203483: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:38:06.204477: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 22429 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:c5:00.0, compute capability: 8.6) +2022-09-22 06:38:39.712888: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:38:39.716411: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499805000 Hz +2022-09-22 06:38:39.800890: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:38:40.257673: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:38:40.259712: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:38:41.829819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:41.830015: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Unimplemented: /usr/local/cuda-11.0/bin/ptxas ptxas too old. Falling back to the driver to compile. +Relying on driver to perform ptx compilation. +Modify $PATH to customize ptxas location. +This message will be only logged once. +2022-09-22 06:38:41.956655: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.080802: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.202920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.327230: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.449229: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.573128: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.696287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.820803: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:42.947072: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.071379: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.198849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.323854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.447094: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.574211: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.697266: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.831257: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:43.955956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.083514: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.208115: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.335377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.460032: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.587469: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.711883: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.841181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:44.965892: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:45.095890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:45.217990: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:45.347150: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:45.525300: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:45.653107: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:45.777795: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:45.928396: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.053083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.182085: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.307299: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.433446: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.556697: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.685314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.808499: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:46.938664: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.061738: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.193581: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.316927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.445552: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.569017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.694421: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.819915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:47.973524: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:48.097377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:48.266611: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:48.391528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:48.562786: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:48.686092: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:48.857636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:48.980597: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:49.159541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:49.283063: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:49.461532: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:49.588109: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:49.742635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:49.865986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.023057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.146661: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.332439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.456550: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.585221: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.709176: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.837155: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:50.959773: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:51.085439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:51.334917: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:51.463335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:51.586183: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:51.714423: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:51.839317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:51.965826: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:52.089802: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:52.217553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:52.340431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:52.497534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:52.621533: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:52.802091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:52.924317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:53.103530: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:53.226264: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:53.406771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:53.529808: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:53.715789: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:53.838608: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:54.023524: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:54.146183: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:54.309039: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:54.435544: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:54.598369: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:54.720709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:54.908266: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.031522: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.161658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.287865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.414722: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.537065: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.663433: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.786582: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:55.915473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.039203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.166960: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.299913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.427614: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.549898: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.678355: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.800424: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:56.955323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:57.077542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:57.247986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:57.372349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:57.543400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:57.666536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:57.837567: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:57.961256: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:58.137829: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:58.260702: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:58.437358: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:58.561126: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:58.714556: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:58.837323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:58.990755: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:59.114450: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:59.302490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:59.427162: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:59.555739: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:59.678868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:59.807342: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:38:59.930068: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.056891: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.179530: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.309005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.432512: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.560827: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.684440: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.811391: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:00.934537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:01.061825: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:01.198467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:01.373073: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:01.496071: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:01.665589: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:01.788271: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:01.958372: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:02.081127: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:02.250975: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:02.373395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:02.549707: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:02.673281: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:02.849839: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:02.972652: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:03.132667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:03.256666: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:03.415611: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:03.538425: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:03.756619: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:03.879561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:04.070948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:04.193186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:04.385983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:04.509076: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:04.702146: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:04.824758: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:04.950585: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:05.073084: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:05.200422: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:05.323929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:05.476006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:05.601052: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:05.771144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:05.894589: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:06.062465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:06.186473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:06.355163: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:06.478948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:06.653259: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:06.777456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:06.951204: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:07.074388: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:07.273347: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:07.397854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:07.562657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:07.686254: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:07.888362: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:08.012821: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:08.179101: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:08.304638: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:08.471086: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:08.594557: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:08.760326: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:08.883838: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:09.056022: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:09.179865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:09.352615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:09.476555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:09.626947: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:09.749490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:09.901016: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:10.027015: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:10.224579: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:10.348374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:10.510749: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:10.633433: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:10.794658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:10.917649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:11.078456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:11.200840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:11.369907: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:11.492855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:11.660896: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:11.783171: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:11.969493: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:12.092265: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:12.247085: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:12.370018: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:12.523143: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:12.646370: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:12.800254: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:12.923751: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:13.083490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:13.207766: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:13.367304: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:13.490794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:13.722405: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:13.845581: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:14.113262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:14.236112: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:14.409260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:14.532170: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:14.706639: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:14.829375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:14.955966: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:15.079419: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:15.205414: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:39:15.329370: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.082112: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.208620: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.334567: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.458878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.610571: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.734901: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.859550: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:24.984302: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.108835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.233629: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.358432: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.482539: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.608297: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.732305: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.857829: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:25.982434: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.108254: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.233198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.358321: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.483212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.608104: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.732435: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.857467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:26.981537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.106145: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.230181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.354614: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.479263: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.604314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.729240: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.853612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:27.978820: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.106454: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.231004: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.356495: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.480191: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.604576: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.736074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.861541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:28.988710: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.113201: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.240713: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.368241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.493511: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.619436: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.744219: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.871124: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:29.995504: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:30.122231: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:30.247255: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:30.373989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:30.499905: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:30.625616: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:30.751237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:30.876736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.002430: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.129655: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.254625: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.381234: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.508539: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.637511: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.762551: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:31.891076: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.016406: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.142960: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.268743: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.394695: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.519433: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.645084: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.769768: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:32.895436: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.020433: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.146261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.272005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.397824: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.523431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.649157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.774329: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:33.900278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.025379: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.152564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.277887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.405432: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.530678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.656461: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.781784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:34.907145: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.032485: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.158545: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.283564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.411067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.536284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.666883: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.792082: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:35.920190: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.044873: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.171446: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.296640: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.422463: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.547978: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.673626: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.798546: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:36.924742: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.049923: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.175932: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.300849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.425992: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.551098: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.676335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.801877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:37.928916: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.054022: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.181036: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.309719: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.437842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.562187: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.689064: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.813871: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:38.940169: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.064961: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.191758: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.319226: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.444718: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.569893: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.696781: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.821714: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:39.950272: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.074717: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.201818: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.328233: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.454114: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.580462: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.705366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.831170: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:40.956371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.080877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.206586: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.331897: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.457127: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.581759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.709124: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.834349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:41.959513: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.084592: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.211157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.335951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.462492: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.587954: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.714271: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.838829: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:42.964657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.089250: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.214889: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.340927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.466743: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.592316: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.718377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.843348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:43.969900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:44.094452: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:44.222843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:44.348081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:44.474445: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:44.599377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:44.724666: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:44.975964: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:45.101929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:45.226175: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:45.352226: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:45.534921: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:45.660856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:45.786301: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:45.913200: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.038886: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.164006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.289940: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.416327: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.541896: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.668140: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.792359: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:46.918528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.043498: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.169523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.294306: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.419856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.544361: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.670373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.794730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:47.920921: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.045876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.172473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.296904: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.423736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.548921: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.674704: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.799937: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:48.925213: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:49.051234: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:49.176354: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:49.301106: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:49.427328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:49.551865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:49.679593: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:49.804348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:50.339283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:50.463518: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:50.603487: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:50.728553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:50.853546: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:50.979487: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.103691: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.228984: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.355912: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.480726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.606371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.730635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.857580: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:51.982067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.108009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.232676: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.358344: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.483070: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.608784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.733624: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.866646: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:52.991276: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:53.131392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:53.258288: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:53.385395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:53.510349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:53.636084: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:53.761364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:53.886696: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.011731: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.136902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.262193: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.388093: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.512323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.638269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.762711: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:54.888751: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:55.013422: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:55.274059: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:55.398917: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:55.538910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:55.663132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:55.802927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:55.927251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.053098: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.178374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.304045: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.429207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.556077: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.680687: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.807401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:56.931909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.060458: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.185111: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.313266: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.437891: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.565855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.691362: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.818144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:57.943168: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:58.068271: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:58.192671: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:58.318519: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:40:58.442763: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 06:41:28.590222: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:41:30.873458: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:41:30.874262: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:41:30.903618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:41:30.903702: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:41:30.905817: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:41:30.905865: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:41:30.906826: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:41:30.907007: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:41:30.909224: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:41:30.909708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:41:30.909832: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:41:30.910456: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:41:30.910769: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:41:30.910853: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:41:30.911162: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:41:30.911186: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:41:30.911203: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:41:30.911218: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:41:30.911233: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:41:30.911247: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:41:30.911261: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:41:30.911276: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:41:30.911291: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:41:30.911793: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:41:30.911821: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:41:31.294863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:41:31.294949: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:41:31.294962: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:41:31.295955: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 22429 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:c5:00.0, compute capability: 8.6) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 06:42:01.682692: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:42:01.685074: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499805000 Hz +2022-09-22 06:42:01.741407: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:42:02.221249: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:42:02.222739: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:42:03.821366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:03.821546: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Unimplemented: /usr/local/cuda-11.0/bin/ptxas ptxas too old. Falling back to the driver to compile. +Relying on driver to perform ptx compilation. +Modify $PATH to customize ptxas location. +This message will be only logged once. +2022-09-22 06:42:03.964494: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:04.109251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:04.249190: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:04.392802: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:04.532668: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:04.677329: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:04.816431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:04.961138: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:05.101627: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:05.247276: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:05.387417: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:05.534222: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:05.675918: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:05.823680: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:05.963074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:06.154060: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:06.370230: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:06.556999: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:06.697169: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:06.885207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:07.025418: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:07.212604: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:07.353511: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:07.548118: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:07.687760: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:07.882423: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:08.021763: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:08.193283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:08.333886: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:08.506944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:08.646245: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:08.871487: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:09.015364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:09.212806: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:09.355417: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:09.551880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:09.696712: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:09.894963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:10.035780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:10.239303: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:10.379890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:10.583242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:10.723390: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:10.902101: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:11.042573: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:11.220352: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:11.466904: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:11.691608: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:11.834430: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:12.020565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:12.160551: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:12.345721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:12.485619: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:12.672366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:12.812322: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:13.004536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:13.145879: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:13.338625: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:13.479256: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:13.648910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:13.789284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:13.962562: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:14.103395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:14.327573: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:14.469363: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:14.654462: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:14.801339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:14.985517: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:15.123908: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:15.308890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:15.509828: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:15.700684: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:15.843078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:16.034726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:16.174977: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:16.348928: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:16.488765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:16.668510: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:16.809640: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:17.032242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:17.171637: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:17.358920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:17.498094: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:17.683442: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:17.823301: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:18.009669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:18.150402: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:18.342930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:18.482777: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:18.674560: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:18.814005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:18.996297: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:19.135844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:19.317675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:19.456750: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:19.674707: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:19.814694: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:19.997424: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:20.139441: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:20.322287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:20.463191: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:20.646700: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:20.791020: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:20.979414: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:21.120154: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:21.309021: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:21.450786: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:21.618961: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:21.758650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:21.924963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:22.064414: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:22.277366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:22.417134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:22.595284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:22.734958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:22.916465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:23.056670: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:23.235048: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:23.374523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:23.560890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:23.701079: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:23.888261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:24.028669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:24.232006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:24.371844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:24.541635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:24.683024: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:24.853117: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:24.991697: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:25.164221: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:25.303747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:25.480445: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:25.621607: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:25.799853: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:25.940967: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:26.188963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:26.329298: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:26.616170: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:26.756876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:26.943901: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:27.082943: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:27.270847: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:27.412033: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:27.557804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:27.698190: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:27.843427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:42:27.983479: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:30.358144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:30.503397: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:30.649603: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:30.792178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:30.935906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:31.079748: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:31.222961: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:31.367996: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:31.511667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:31.657113: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:31.801078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:31.943097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:32.086801: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:32.231410: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:32.376954: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:32.522144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:32.666655: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:32.810260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:32.955179: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:33.098956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:33.248315: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:33.393013: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:33.538367: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:33.682444: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:33.828509: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:33.972088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:34.117328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:34.341197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:34.489635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:34.639205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:34.785683: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:34.929055: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:35.074361: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:35.218949: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:35.365050: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:35.510160: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:35.655507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:35.801482: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:35.945153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:36.088031: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:36.234324: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:36.377298: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:36.522289: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:36.666840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:36.814776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:36.958537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:37.105963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:37.272510: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:37.418869: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:37.562529: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:37.709078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:37.852215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:37.997569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:38.140804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:38.286593: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:38.430102: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:38.576135: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:38.719830: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:38.865281: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:39.008648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:39.153052: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:39.360147: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:39.504240: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:39.648902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:39.795570: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:39.939810: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:40.085843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:40.229738: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:40.375936: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:40.519840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:40.664754: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:40.809478: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:40.953471: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:41.098488: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:41.244161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:41.388649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:41.533206: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:41.677640: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:41.820893: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:41.962179: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:42.109740: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:42.255877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:42.402453: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:42.546313: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:42.690268: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:42.835264: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:42.980318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:43.123600: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:43.284317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:43.427750: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:43.573017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:43.719172: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:43.864689: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:44.007994: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:44.154130: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:44.297482: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:44.444209: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:44.588263: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:44.733539: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:44.878473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:45.022365: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:45.166823: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:45.311534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:45.520863: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:45.668937: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:45.811788: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:45.961677: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:46.106057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:46.266018: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:46.411169: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:46.570802: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:46.712209: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:46.857784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:47.001730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:47.148203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:47.292370: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:47.437966: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:47.581575: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:47.726785: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:47.870962: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:48.015946: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:48.157930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:48.301673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:48.447043: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:48.591171: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:48.736789: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:48.881388: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:49.024861: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:49.176097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:49.324044: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:49.476092: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:49.620374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:49.764578: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:49.909006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:50.051849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:50.197196: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:50.343111: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:50.487566: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:50.632696: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:50.776638: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:50.922078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:51.066212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:51.211360: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:51.356629: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:51.504007: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:51.647798: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:51.794113: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:51.937275: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:52.096342: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:52.241058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:52.401561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:52.547156: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:52.693381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:52.839126: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:52.985175: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:53.129379: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:53.287579: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:53.429942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:53.575612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:53.718748: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:53.866202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:54.009611: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:54.155330: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:54.301057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:54.447320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:54.850473: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:54.997706: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:55.144910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:55.288538: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:55.433756: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:55.577771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:43:55.722913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 06:44:24.450425: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:44:26.780681: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:44:26.781515: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:44:26.809633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:44:26.809716: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:44:26.811877: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:44:26.811940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:44:26.812933: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:44:26.813116: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:44:26.815351: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:44:26.815835: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:44:26.815958: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:44:26.816552: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:44:26.816866: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:44:26.816931: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:44:26.817234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:44:26.817261: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:44:26.817283: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:44:26.817301: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:44:26.817318: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:44:26.817335: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:44:26.817350: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:44:26.817364: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:44:26.817377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:44:26.817845: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:44:26.817874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:44:27.207849: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:44:27.207936: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:44:27.207948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:44:27.208983: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 22429 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:c5:00.0, compute capability: 8.6) +2022-09-22 06:44:58.149171: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:44:58.150906: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499805000 Hz +2022-09-22 06:44:58.187336: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:44:58.661757: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:44:58.663237: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:45:00.258310: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:00.258489: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Unimplemented: /usr/local/cuda-11.0/bin/ptxas ptxas too old. Falling back to the driver to compile. +Relying on driver to perform ptx compilation. +Modify $PATH to customize ptxas location. +This message will be only logged once. +2022-09-22 06:45:00.394664: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:00.528584: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:00.660670: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:00.793161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:00.925412: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.058733: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.190284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.323485: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.456197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.591933: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.725796: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.861624: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:01.993455: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:02.127434: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:02.261629: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:02.400647: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:02.534157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:02.672855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:02.806265: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:02.943549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:03.078255: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:03.214528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:03.347591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:03.487029: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:03.620377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:03.760103: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:03.892144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.029880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.162672: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.298375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.433094: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.576679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.710536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.847866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:04.980067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:05.118115: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:05.249564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:05.385314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:05.520850: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:05.660627: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:05.794717: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:05.932371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:06.064917: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:06.203348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:06.335053: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:06.471942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:06.607799: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:06.750171: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:06.887937: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.026005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.158366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.294041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.426625: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.563241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.695665: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.832679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:07.965187: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:08.103116: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:08.235490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:08.379867: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:08.512205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:08.649576: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:08.782358: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:08.925608: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:09.057294: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:09.194349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:09.328333: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:09.464157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:09.596675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:09.733315: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:09.867218: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.006848: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.142898: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.283719: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.418105: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.555520: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.688440: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.826360: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:10.960789: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:11.145539: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:11.282079: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:11.490331: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:11.628011: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:11.855396: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:11.992317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:12.203522: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:12.339581: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:12.478716: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:12.615916: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:12.754597: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:12.891397: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:20.385296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:20.525272: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:20.664903: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:20.804008: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:20.945196: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:21.083965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:21.223279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:21.361570: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:21.499172: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:21.640004: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:21.779246: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:21.926426: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:22.069748: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:22.213101: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:22.361075: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:22.508351: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:22.653495: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:22.794415: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:22.939616: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:23.082643: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:23.225952: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:23.362847: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:23.498225: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:23.632911: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:23.769225: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:23.906095: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.042010: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.177485: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.315478: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.450125: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.585702: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.722217: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.858302: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:24.994181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:25.129785: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:25.264769: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:25.400752: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:25.539219: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:25.676286: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:25.810831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:25.946679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:26.083032: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:26.219237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:26.354480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:26.490435: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:26.624661: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:26.760681: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:26.897120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.033083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.168628: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.304813: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.440375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.577009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.712450: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.847229: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:27.982416: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:28.118104: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:28.253504: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:28.391480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:28.526139: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:28.661304: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:28.795766: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:28.931509: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:29.068437: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:29.217765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:29.354448: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:29.489956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:29.624670: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:29.759383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:29.894241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:30.029281: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:30.164767: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:30.300688: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:30.436687: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:30.631178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:30.772724: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:30.908167: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.043215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.178546: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.313775: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.450681: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.585631: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.721535: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.855867: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:31.992165: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:32.127045: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:32.262989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:32.398394: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:32.535297: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:32.670456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:32.806436: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:32.941819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:33.079570: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:33.215600: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:33.350693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:45:33.486443: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-09-22 06:46:04.279309: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:46:05.417173: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:46:05.417956: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:46:05.446774: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:46:05.446864: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:46:05.449018: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:46:05.449066: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:46:05.450023: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:46:05.450201: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:46:05.452473: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:46:05.452978: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:46:05.453102: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:46:05.453696: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:46:05.454022: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:46:05.454091: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:46:05.454388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:46:05.454414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:46:05.454431: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:46:05.454446: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:46:05.454461: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:46:05.454475: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:46:05.454489: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:46:05.454503: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:46:05.454517: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:46:05.455006: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:46:05.455043: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:46:05.853218: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:46:05.853322: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:46:05.853335: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:46:05.854348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 22429 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:c5:00.0, compute capability: 8.6) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-09-22 06:46:12.270286: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:46:12.270788: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499805000 Hz +2022-09-22 06:46:12.470887: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:46:12.957376: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:46:12.959094: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:46:14.510738: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:14.510915: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Unimplemented: /usr/local/cuda-11.0/bin/ptxas ptxas too old. Falling back to the driver to compile. +Relying on driver to perform ptx compilation. +Modify $PATH to customize ptxas location. +This message will be only logged once. +2022-09-22 06:46:14.613884: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:14.724117: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:14.824403: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:14.934729: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.035136: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.144354: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.245326: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.356030: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.504518: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.615184: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.715197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.825997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:15.926602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:16.095558: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:16.210310: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:16.453323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:16.554544: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:16.760105: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:16.860429: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:17.060787: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:17.161173: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:17.329703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:17.430628: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:17.600676: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:17.705359: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:18.047795: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:18.150435: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:18.373887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:18.477312: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:18.698381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:18.800736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:19.173829: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:19.274429: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:19.476840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:19.577650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:19.781143: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:19.881328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:20.048839: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:20.150855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:20.323091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:20.424469: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:20.743491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:20.843776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:21.040800: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:21.169930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:21.369022: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:21.469818: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:21.648939: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:21.749375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:21.927536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:22.028362: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:22.315956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:22.416148: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:22.612640: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:22.715035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:22.910567: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:23.012964: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:23.209454: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:23.322081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:23.582935: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:23.685123: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:23.876741: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:23.977564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:24.168945: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:24.268934: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:24.461569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:24.564147: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:24.807546: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:24.908016: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:25.091354: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:25.193494: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:25.376340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:25.476757: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:25.661180: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:25.762924: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:25.991506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:26.094077: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:26.322189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:26.422538: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:26.586217: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:26.688596: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:26.854003: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:26.954763: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:27.132044: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:27.233308: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:27.410116: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:27.511449: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:27.810381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:27.910981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:28.309062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:28.410135: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:28.616389: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:28.717651: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:28.927189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:29.029537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:29.141074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:29.244105: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:29.352552: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:29.453479: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:44.571803: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:44.674953: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:44.784280: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:44.885259: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:44.994320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.095433: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.205212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.306097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.456364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.557088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.666530: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.767568: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.876749: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:45.979672: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:46.088894: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:46.189580: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:46.383686: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:46.485605: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:46.681034: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:46.800951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:46.999457: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:47.099989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:47.297515: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:47.398315: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:47.568511: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:47.670098: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:47.841122: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:47.942161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:48.196405: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:48.297132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:48.513662: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:48.614403: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:48.832594: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:48.933513: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:49.151907: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:49.254783: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:49.512651: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:49.613086: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:49.811753: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:49.911564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:50.108374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:50.208728: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:50.406203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:50.507380: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:50.674608: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:50.775876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:50.941693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:51.045097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:51.300960: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:51.402201: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:51.598111: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:51.699097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:51.893346: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:51.994251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:52.190200: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:52.290794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:52.465364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:52.566205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:52.740821: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:52.842327: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:53.096459: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:53.197657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:53.391989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:53.494406: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:53.687926: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:53.790761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:53.983132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:54.084688: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:54.332574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:54.433505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:54.622073: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:54.723278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:54.912012: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:55.012765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:55.202050: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:55.303872: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:55.541998: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:55.646726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:55.825177: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:55.926474: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:56.103682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:56.205511: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:56.384562: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:56.486884: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:56.705709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:56.808735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:56.970914: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:57.072505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:57.233061: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:57.334962: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:57.496654: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:57.599648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:57.773997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:57.875121: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:58.049913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:58.150979: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:58.442465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:58.543513: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:58.933519: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.035067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.245551: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.346227: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.551353: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.652144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.761013: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.864920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:46:59.972768: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:47:00.073801: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints’: File exists +2022-09-22 06:49:37.117767: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:49:38.247318: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:49:38.248065: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 06:49:38.276476: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:49:38.276564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:49:38.278655: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:49:38.278704: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:49:38.279667: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:49:38.279844: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:49:38.282157: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:49:38.282665: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:49:38.282788: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:49:38.283420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:49:38.283736: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-09-22 06:49:38.283807: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 06:49:38.284130: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c5:00.0 name: NVIDIA GeForce RTX 3090 computeCapability: 8.6 +coreClock: 1.695GHz coreCount: 82 deviceMemorySize: 23.70GiB deviceMemoryBandwidth: 871.81GiB/s +2022-09-22 06:49:38.284175: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:49:38.284195: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:49:38.284211: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:49:38.284227: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 06:49:38.284242: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 06:49:38.284257: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 06:49:38.284272: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 06:49:38.284287: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:49:38.284801: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 06:49:38.284835: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 06:49:38.691076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 06:49:38.691164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 06:49:38.691176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 06:49:38.692172: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 22429 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:c5:00.0, compute capability: 8.6) +2022-09-22 06:49:44.721938: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 06:49:44.722444: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499805000 Hz +2022-09-22 06:49:44.857056: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 06:49:45.351447: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 06:49:45.353188: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 06:49:46.879527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:46.879703: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Unimplemented: /usr/local/cuda-11.0/bin/ptxas ptxas too old. Falling back to the driver to compile. +Relying on driver to perform ptx compilation. +Modify $PATH to customize ptxas location. +This message will be only logged once. +2022-09-22 06:49:46.979204: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.088804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.185414: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.294239: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.391411: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.498262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.593564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.702126: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.797486: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:47.906158: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.001448: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.101559: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.198970: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.297019: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.392729: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.518920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.616139: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.722047: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.821743: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:48.926422: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.022358: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.126072: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.223066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.329950: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.424770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.533250: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.629244: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.731595: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.830390: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:49.934569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.030082: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.149810: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.245721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.351481: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.453306: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.557868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.652995: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.757977: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.855401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:50.962531: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.059619: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.169736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.271553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.377730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.476551: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.581996: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.678881: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.799610: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:51.896069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.002384: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.099339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.203099: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.299523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.402390: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.498605: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.605878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.702136: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.809652: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:52.904926: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.011230: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.109704: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.215371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.314467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.433168: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.529954: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.635872: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.733102: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.838181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:53.935282: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.039285: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.135760: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.240736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.339224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.445878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.545472: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.651939: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.750621: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.856642: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:54.954540: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:55.110510: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:55.209053: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:55.564006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:55.661147: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:55.810322: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:55.906807: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:56.055987: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:56.156147: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:56.257929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:56.355461: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:56.457092: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:56.553806: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.054663: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.153707: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.262306: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.363023: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.471159: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.573458: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.683116: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.782344: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.891897: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:58.992061: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.101149: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.202856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.303906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.405748: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.506237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.604258: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.720186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.817884: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:49:59.926717: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.025420: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.130864: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.231992: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.338054: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.437347: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.545794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.645711: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.753662: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.853780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:00.958468: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.057297: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.163779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.263603: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.386662: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.485195: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.595296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.694572: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.800951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:01.903024: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.012027: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.111439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.222530: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.323125: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.433415: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.532003: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.638649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.737327: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.844475: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:02.944707: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.064419: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.167621: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.317909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.419009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.525305: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.627050: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.733868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.833811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:03.943516: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.042139: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.151100: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.252294: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.362900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.462198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.572527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.671569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.793026: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:04.891558: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.003465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.103148: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.209846: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.308747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.414836: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.513385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.624224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.727050: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.835800: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:05.934610: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:06.042203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:06.139758: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:06.245137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:06.344729: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:06.497426: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:06.597384: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:06.944434: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.043953: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.190594: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.288892: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.433133: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.532150: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.634630: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.732669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.834866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 06:50:07.933695: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + diff --git a/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.stdout.txt b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb5e7641431a40006151dcbd48f8aa9680707603 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR823ZCR/logfile.modelling.fold_4.ENCSR823ZCR.stdout.txt @@ -0,0 +1,470 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json +Thu Sep 22 05:24:45 2022 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +| | | MIG M. | +|===============================+======================+======================| +| 0 NVIDIA GeForce ... On | 00000000:C5:00.0 Off | N/A | +| 30% 29C P8 18W / 315W | 1MiB / 24576MiB | 0% E. Process | +| | | N/A | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: | +| GPU GI CI PID Type Process name GPU Memory | +| ID ID Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ +No logfile supplied - creating one +2022-09-22_05-24-46: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_4/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] +Number of peaks input: 70839 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 70839 +Number of peaks input: 18107 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 18107 +Number of non peaks input: 68392 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 68392 +Number of non peaks input: 20553 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 20553 +Number of peaks after removing outliers: 70055 +Number of nonpeaks after removing outliers: 60472 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 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ETA: 0s 1842/1890 [============================>.] - ETA: 0s 1851/1890 [============================>.] - ETA: 0s 1860/1890 [============================>.] - ETA: 0s 1869/1890 [============================>.] - ETA: 0s 1878/1890 [============================>.] - ETA: 0s 1887/1890 [============================>.] - ETA: 0s 1890/1890 [==============================] - ETA: 0s 1890/1890 [==============================] - 38s 11ms/step +2022-09-22_05-27-11: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.6', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(64114, 10) +loading nonpeaks... +got split:train for bed regions:(55655, 10) +loading peaks... +got split:valid for bed regions:(5941, 10) +loading nonpeaks... +got split:valid for bed regions:(4817, 10) +Epoch 1/50 + 1/1102 [..............................] - ETA: 32:21:33 - loss: 298.1029 - logits_profile_predictions_loss: 277.2053 - logcount_predictions_loss: 1.9715 2/1102 [..............................] - ETA: 5:45 - loss: 648.2473 - logits_profile_predictions_loss: 279.1446 - logcount_predictions_loss: 34.8210  3/1102 [..............................] - ETA: 5:40 - loss: 686.5761 - logits_profile_predictions_loss: 279.0006 - logcount_predictions_loss: 38.4505 4/1102 [..............................] - ETA: 5:37 - loss: 676.2482 - logits_profile_predictions_loss: 278.4957 - logcount_predictions_loss: 37.5238 5/1102 [..............................] - ETA: 5:36 - loss: 655.1963 - logits_profile_predictions_loss: 277.4076 - logcount_predictions_loss: 35.6404 6/1102 [..............................] - ETA: 5:37 - loss: 634.9690 - logits_profile_predictions_loss: 278.0507 - logcount_predictions_loss: 33.6715 7/1102 [..............................] - ETA: 5:36 - loss: 615.0004 - logits_profile_predictions_loss: 277.8227 - logcount_predictions_loss: 31.8092 8/1102 [..............................] - ETA: 5:35 - loss: 597.1744 - logits_profile_predictions_loss: 277.9002 - logcount_predictions_loss: 30.1202 9/1102 [..............................] - ETA: 5:34 - loss: 581.2021 - logits_profile_predictions_loss: 277.9811 - logcount_predictions_loss: 28.6058 10/1102 [..............................] - ETA: 5:33 - loss: 566.8108 - logits_profile_predictions_loss: 277.9940 - logcount_predictions_loss: 27.2469 11/1102 [..............................] - ETA: 5:33 - loss: 553.9770 - logits_profile_predictions_loss: 278.0809 - logcount_predictions_loss: 26.0279 12/1102 [..............................] - ETA: 5:32 - loss: 542.3444 - logits_profile_predictions_loss: 278.1058 - logcount_predictions_loss: 24.9282 13/1102 [..............................] - ETA: 5:31 - loss: 531.8379 - logits_profile_predictions_loss: 278.1351 - logcount_predictions_loss: 23.9342 14/1102 [..............................] - ETA: 5:31 - loss: 522.3277 - logits_profile_predictions_loss: 278.1954 - logcount_predictions_loss: 23.0313 15/1102 [..............................] - ETA: 5:30 - loss: 513.7908 - logits_profile_predictions_loss: 278.3789 - logcount_predictions_loss: 22.2087 16/1102 [..............................] - ETA: 5:30 - loss: 505.9711 - logits_profile_predictions_loss: 278.5546 - logcount_predictions_loss: 21.4544 17/1102 [..............................] - ETA: 5:29 - loss: 498.7718 - logits_profile_predictions_loss: 278.7125 - logcount_predictions_loss: 20.7603 18/1102 [..............................] - ETA: 5:29 - loss: 492.0249 - logits_profile_predictions_loss: 278.7701 - logcount_predictions_loss: 20.1184 19/1102 [..............................] - ETA: 5:29 - loss: 485.7060 - logits_profile_predictions_loss: 278.7644 - logcount_predictions_loss: 19.5228 20/1102 [..............................] - ETA: 5:28 - loss: 479.7647 - logits_profile_predictions_loss: 278.6971 - logcount_predictions_loss: 18.9686 21/1102 [..............................] - ETA: 5:28 - loss: 474.1901 - logits_profile_predictions_loss: 278.5988 - logcount_predictions_loss: 18.4520 22/1102 [..............................] - ETA: 5:27 - loss: 469.0191 - logits_profile_predictions_loss: 278.5439 - logcount_predictions_loss: 17.9694 23/1102 [..............................] - ETA: 5:27 - loss: 464.1920 - logits_profile_predictions_loss: 278.5070 - logcount_predictions_loss: 17.5175 24/1102 [..............................] - ETA: 5:27 - loss: 459.6324 - logits_profile_predictions_loss: 278.4478 - logcount_predictions_loss: 17.0929 25/1102 [..............................] - ETA: 5:26 - loss: 455.4046 - logits_profile_predictions_loss: 278.4451 - logcount_predictions_loss: 16.6943 26/1102 [..............................] - ETA: 5:26 - loss: 451.4330 - logits_profile_predictions_loss: 278.4547 - logcount_predictions_loss: 16.3187 27/1102 [..............................] - ETA: 5:26 - loss: 447.6711 - logits_profile_predictions_loss: 278.4534 - logcount_predictions_loss: 15.9639 28/1102 [..............................] - ETA: 5:25 - loss: 444.0553 - logits_profile_predictions_loss: 278.4029 - logcount_predictions_loss: 15.6276 29/1102 [..............................] - ETA: 5:25 - loss: 440.6429 - logits_profile_predictions_loss: 278.3662 - logcount_predictions_loss: 15.3091 30/1102 [..............................] - ETA: 5:24 - loss: 437.3785 - logits_profile_predictions_loss: 278.3099 - logcount_predictions_loss: 15.0065 31/1102 [..............................] - ETA: 5:24 - loss: 434.2541 - logits_profile_predictions_loss: 278.2359 - logcount_predictions_loss: 14.7187 32/1102 [..............................] - ETA: 5:24 - loss: 431.3120 - logits_profile_predictions_loss: 278.1930 - logcount_predictions_loss: 14.4452 33/1102 [..............................] - ETA: 5:23 - loss: 428.5260 - logits_profile_predictions_loss: 278.1677 - logcount_predictions_loss: 14.1848 34/1102 [..............................] - ETA: 5:23 - loss: 425.8778 - logits_profile_predictions_loss: 278.1536 - logcount_predictions_loss: 13.9362 35/1102 [..............................] - ETA: 5:23 - loss: 423.3234 - logits_profile_predictions_loss: 278.1196 - logcount_predictions_loss: 13.6985 36/1102 [..............................] - ETA: 5:22 - loss: 420.8496 - logits_profile_predictions_loss: 278.0604 - logcount_predictions_loss: 13.4707 37/1102 [>.............................] - ETA: 5:22 - loss: 418.4880 - logits_profile_predictions_loss: 278.0092 - logcount_predictions_loss: 13.2527 38/1102 [>.............................] - ETA: 5:22 - loss: 416.2234 - logits_profile_predictions_loss: 277.9597 - logcount_predictions_loss: 13.0437 39/1102 [>.............................] - ETA: 5:21 - loss: 414.0669 - logits_profile_predictions_loss: 277.9263 - logcount_predictions_loss: 12.8435 40/1102 [>.............................] - ETA: 5:21 - loss: 411.9878 - logits_profile_predictions_loss: 277.8872 - logcount_predictions_loss: 12.6510 41/1102 [>.............................] - ETA: 5:21 - loss: 409.9933 - logits_profile_predictions_loss: 277.8534 - logcount_predictions_loss: 12.4660 42/1102 [>.............................] - ETA: 5:20 - loss: 408.0753 - logits_profile_predictions_loss: 277.8216 - logcount_predictions_loss: 12.2881 43/1102 [>.............................] - ETA: 5:20 - loss: 406.2387 - logits_profile_predictions_loss: 277.8004 - logcount_predictions_loss: 12.1168 44/1102 [>.............................] - ETA: 5:20 - loss: 404.4773 - logits_profile_predictions_loss: 277.7879 - logcount_predictions_loss: 11.9518 45/1102 [>.............................] - ETA: 5:19 - loss: 402.7716 - logits_profile_predictions_loss: 277.7693 - logcount_predictions_loss: 11.7927 46/1102 [>.............................] - ETA: 5:19 - loss: 401.1283 - logits_profile_predictions_loss: 277.7537 - logcount_predictions_loss: 11.6391 47/1102 [>.............................] - ETA: 5:19 - loss: 399.5362 - logits_profile_predictions_loss: 277.7349 - logcount_predictions_loss: 11.4907 48/1102 [>.............................] - ETA: 5:19 - loss: 398.0041 - logits_profile_predictions_loss: 277.7229 - logcount_predictions_loss: 11.3473 49/1102 [>.............................] - ETA: 5:18 - loss: 396.5190 - logits_profile_predictions_loss: 277.7084 - logcount_predictions_loss: 11.2085 50/1102 [>.............................] - ETA: 5:18 - loss: 395.0889 - logits_profile_predictions_loss: 277.7007 - logcount_predictions_loss: 11.0744 51/1102 [>.............................] - ETA: 5:18 - loss: 393.7031 - logits_profile_predictions_loss: 277.6920 - logcount_predictions_loss: 10.9445 52/1102 [>.............................] - ETA: 5:17 - loss: 392.3543 - logits_profile_predictions_loss: 277.6777 - logcount_predictions_loss: 10.8186 53/1102 [>.............................] - ETA: 5:17 - loss: 391.0335 - logits_profile_predictions_loss: 277.6522 - logcount_predictions_loss: 10.6964 54/1102 [>.............................] - ETA: 5:17 - loss: 389.7460 - logits_profile_predictions_loss: 277.6219 - logcount_predictions_loss: 10.5777 55/1102 [>.............................] - ETA: 5:16 - loss: 388.5013 - logits_profile_predictions_loss: 277.5966 - logcount_predictions_loss: 10.4627 56/1102 [>.............................] - ETA: 5:16 - loss: 387.2938 - logits_profile_predictions_loss: 277.5726 - logcount_predictions_loss: 10.3511 57/1102 [>.............................] - ETA: 5:16 - loss: 386.1212 - logits_profile_predictions_loss: 277.5494 - logcount_predictions_loss: 10.2426 58/1102 [>.............................] - ETA: 5:15 - loss: 384.9871 - logits_profile_predictions_loss: 277.5316 - logcount_predictions_loss: 10.1373 59/1102 [>.............................] - ETA: 5:15 - loss: 383.8822 - logits_profile_predictions_loss: 277.5123 - logcount_predictions_loss: 10.0349 60/1102 [>.............................] - ETA: 5:15 - loss: 382.8097 - logits_profile_predictions_loss: 277.4952 - logcount_predictions_loss: 9.9353  61/1102 [>.............................] - ETA: 5:15 - loss: 381.7625 - logits_profile_predictions_loss: 277.4752 - logcount_predictions_loss: 9.8384 62/1102 [>.............................] - ETA: 5:14 - loss: 380.7359 - logits_profile_predictions_loss: 277.4496 - logcount_predictions_loss: 9.7440 63/1102 [>.............................] - ETA: 5:14 - loss: 379.7432 - logits_profile_predictions_loss: 277.4308 - logcount_predictions_loss: 9.6521 64/1102 [>.............................] - ETA: 5:14 - loss: 378.7787 - logits_profile_predictions_loss: 277.4151 - logcount_predictions_loss: 9.5626 65/1102 [>.............................] - ETA: 5:13 - loss: 377.8341 - logits_profile_predictions_loss: 277.3954 - logcount_predictions_loss: 9.4754 66/1102 [>.............................] - ETA: 5:13 - loss: 376.9043 - logits_profile_predictions_loss: 277.3685 - logcount_predictions_loss: 9.3902 67/1102 [>.............................] - ETA: 5:13 - loss: 376.0041 - logits_profile_predictions_loss: 277.3482 - logcount_predictions_loss: 9.3072 68/1102 [>.............................] - ETA: 5:12 - loss: 375.1271 - logits_profile_predictions_loss: 277.3298 - logcount_predictions_loss: 9.2262 69/1102 [>.............................] - ETA: 5:12 - loss: 374.2835 - logits_profile_predictions_loss: 277.3227 - logcount_predictions_loss: 9.1473 70/1102 [>.............................] - ETA: 5:12 - loss: 373.4466 - logits_profile_predictions_loss: 277.3040 - logcount_predictions_loss: 9.0701 71/1102 [>.............................] - ETA: 5:12 - loss: 372.6312 - logits_profile_predictions_loss: 277.2876 - logcount_predictions_loss: 8.9947 72/1102 [>.............................] - ETA: 5:11 - loss: 371.8374 - logits_profile_predictions_loss: 277.2737 - logcount_predictions_loss: 8.9211 73/1102 [>.............................] - ETA: 5:11 - loss: 371.0605 - logits_profile_predictions_loss: 277.2590 - logcount_predictions_loss: 8.8492 74/1102 [=>............................] - ETA: 5:11 - loss: 370.3062 - logits_profile_predictions_loss: 277.2492 - logcount_predictions_loss: 8.7790 75/1102 [=>............................] - ETA: 5:10 - loss: 369.5739 - logits_profile_predictions_loss: 277.2443 - logcount_predictions_loss: 8.7103 76/1102 [=>............................] - ETA: 5:10 - loss: 368.8513 - logits_profile_predictions_loss: 277.2340 - logcount_predictions_loss: 8.6431 77/1102 [=>............................] - ETA: 5:10 - loss: 368.1430 - logits_profile_predictions_loss: 277.2225 - logcount_predictions_loss: 8.5774 78/1102 [=>............................] - ETA: 5:10 - loss: 367.4469 - logits_profile_predictions_loss: 277.2087 - logcount_predictions_loss: 8.5130 79/1102 [=>............................] - ETA: 5:09 - loss: 366.7670 - logits_profile_predictions_loss: 277.1965 - logcount_predictions_loss: 8.4501 80/1102 [=>............................] - ETA: 5:09 - loss: 366.0997 - logits_profile_predictions_loss: 277.1831 - logcount_predictions_loss: 8.3884 81/1102 [=>............................] - ETA: 5:09 - loss: 365.4457 - logits_profile_predictions_loss: 277.1696 - logcount_predictions_loss: 8.3279 82/1102 [=>............................] - ETA: 5:08 - loss: 364.8042 - logits_profile_predictions_loss: 277.1555 - logcount_predictions_loss: 8.2687 83/1102 [=>............................] - ETA: 5:08 - loss: 364.1751 - logits_profile_predictions_loss: 277.1411 - logcount_predictions_loss: 8.2108 84/1102 [=>............................] - ETA: 5:08 - loss: 363.5580 - logits_profile_predictions_loss: 277.1268 - logcount_predictions_loss: 8.1539 85/1102 [=>............................] - ETA: 5:07 - loss: 362.9577 - logits_profile_predictions_loss: 277.1169 - logcount_predictions_loss: 8.0982 86/1102 [=>............................] - ETA: 5:07 - loss: 362.3730 - logits_profile_predictions_loss: 277.1107 - logcount_predictions_loss: 8.0436 87/1102 [=>............................] - ETA: 5:07 - loss: 361.7972 - logits_profile_predictions_loss: 277.1024 - logcount_predictions_loss: 7.9901 88/1102 [=>............................] - ETA: 5:07 - loss: 361.2344 - logits_profile_predictions_loss: 277.0959 - logcount_predictions_loss: 7.9376 89/1102 [=>............................] - ETA: 5:06 - loss: 360.6853 - logits_profile_predictions_loss: 277.0921 - logcount_predictions_loss: 7.8861 90/1102 [=>............................] - ETA: 5:06 - loss: 360.1466 - logits_profile_predictions_loss: 277.0887 - logcount_predictions_loss: 7.8357 91/1102 [=>............................] - ETA: 5:06 - loss: 359.6193 - logits_profile_predictions_loss: 277.0864 - logcount_predictions_loss: 7.7861 92/1102 [=>............................] - ETA: 5:05 - loss: 359.1016 - logits_profile_predictions_loss: 277.0842 - logcount_predictions_loss: 7.7375 93/1102 [=>............................] - ETA: 5:05 - loss: 358.5873 - logits_profile_predictions_loss: 277.0767 - logcount_predictions_loss: 7.6897 94/1102 [=>............................] - ETA: 5:05 - loss: 358.0800 - logits_profile_predictions_loss: 277.0674 - logcount_predictions_loss: 7.6427 95/1102 [=>............................] - ETA: 5:05 - loss: 357.5820 - logits_profile_predictions_loss: 277.0585 - logcount_predictions_loss: 7.5966 96/1102 [=>............................] - ETA: 5:04 - loss: 357.0927 - logits_profile_predictions_loss: 277.0495 - logcount_predictions_loss: 7.5512 97/1102 [=>............................] - ETA: 5:04 - loss: 356.6104 - logits_profile_predictions_loss: 277.0394 - logcount_predictions_loss: 7.5067 98/1102 [=>............................] - ETA: 5:04 - loss: 356.1382 - logits_profile_predictions_loss: 277.0309 - logcount_predictions_loss: 7.4630 99/1102 [=>............................] - ETA: 5:03 - loss: 355.6720 - logits_profile_predictions_loss: 277.0208 - logcount_predictions_loss: 7.4199 100/1102 [=>............................] - ETA: 5:03 - loss: 355.2126 - logits_profile_predictions_loss: 277.0099 - logcount_predictions_loss: 7.3776 101/1102 [=>............................] - ETA: 5:03 - loss: 354.7603 - logits_profile_predictions_loss: 276.9986 - logcount_predictions_loss: 7.3360 102/1102 [=>............................] - ETA: 5:02 - loss: 354.3158 - logits_profile_predictions_loss: 276.9878 - logcount_predictions_loss: 7.2951 103/1102 [=>............................] - ETA: 5:02 - loss: 353.8777 - logits_profile_predictions_loss: 276.9763 - logcount_predictions_loss: 7.2548 104/1102 [=>............................] - ETA: 5:02 - loss: 353.4469 - logits_profile_predictions_loss: 276.9650 - logcount_predictions_loss: 7.2153 105/1102 [=>............................] - ETA: 5:02 - loss: 353.0206 - logits_profile_predictions_loss: 276.9516 - logcount_predictions_loss: 7.1763 106/1102 [=>............................] - ETA: 5:01 - loss: 352.6019 - logits_profile_predictions_loss: 276.9393 - logcount_predictions_loss: 7.1380 107/1102 [=>............................] - ETA: 5:01 - loss: 352.1896 - logits_profile_predictions_loss: 276.9268 - logcount_predictions_loss: 7.1003 108/1102 [=>............................] - ETA: 5:01 - loss: 351.7811 - logits_profile_predictions_loss: 276.9123 - logcount_predictions_loss: 7.0631 109/1102 [=>............................] - ETA: 5:00 - loss: 351.3791 - logits_profile_predictions_loss: 276.8979 - logcount_predictions_loss: 7.0265 110/1102 [=>............................] - ETA: 5:00 - loss: 350.9817 - logits_profile_predictions_loss: 276.8822 - logcount_predictions_loss: 6.9905 111/1102 [==>...........................] - ETA: 5:00 - loss: 350.5912 - logits_profile_predictions_loss: 276.8677 - logcount_predictions_loss: 6.9550 112/1102 [==>...........................] - ETA: 5:00 - loss: 350.2068 - logits_profile_predictions_loss: 276.8536 - logcount_predictions_loss: 6.9201 113/1102 [==>...........................] - ETA: 4:59 - loss: 349.8261 - logits_profile_predictions_loss: 276.8378 - logcount_predictions_loss: 6.8857 114/1102 [==>...........................] - ETA: 4:59 - loss: 349.4526 - logits_profile_predictions_loss: 276.8234 - logcount_predictions_loss: 6.8518 115/1102 [==>...........................] - ETA: 4:59 - loss: 349.0843 - logits_profile_predictions_loss: 276.8090 - logcount_predictions_loss: 6.8184 116/1102 [==>...........................] - ETA: 4:58 - loss: 348.7205 - logits_profile_predictions_loss: 276.7940 - logcount_predictions_loss: 6.7855 117/1102 [==>...........................] - ETA: 4:58 - loss: 348.3600 - logits_profile_predictions_loss: 276.7773 - logcount_predictions_loss: 6.7531 118/1102 [==>...........................] - ETA: 4:58 - loss: 348.0049 - logits_profile_predictions_loss: 276.7611 - logcount_predictions_loss: 6.7211 119/1102 [==>...........................] - ETA: 4:57 - loss: 347.6560 - logits_profile_predictions_loss: 276.7461 - logcount_predictions_loss: 6.6896 120/1102 [==>...........................] - ETA: 4:57 - loss: 347.3113 - logits_profile_predictions_loss: 276.7306 - logcount_predictions_loss: 6.6586 121/1102 [==>...........................] - ETA: 4:57 - loss: 346.9704 - logits_profile_predictions_loss: 276.7143 - logcount_predictions_loss: 6.6279 122/1102 [==>...........................] - ETA: 4:57 - loss: 346.6302 - logits_profile_predictions_loss: 276.6947 - logcount_predictions_loss: 6.5977 123/1102 [==>...........................] - ETA: 4:56 - loss: 346.2968 - logits_profile_predictions_loss: 276.6770 - logcount_predictions_loss: 6.5679 124/1102 [==>...........................] - ETA: 4:56 - loss: 345.9665 - logits_profile_predictions_loss: 276.6582 - logcount_predictions_loss: 6.5385 125/1102 [==>...........................] - ETA: 4:56 - loss: 345.6406 - logits_profile_predictions_loss: 276.6397 - logcount_predictions_loss: 6.5095 126/1102 [==>...........................] - ETA: 4:55 - loss: 345.3193 - logits_profile_predictions_loss: 276.6215 - logcount_predictions_loss: 6.4809 127/1102 [==>...........................] - ETA: 4:55 - loss: 345.0020 - logits_profile_predictions_loss: 276.6033 - logcount_predictions_loss: 6.4527 128/1102 [==>...........................] - ETA: 4:55 - loss: 344.6883 - logits_profile_predictions_loss: 276.5847 - logcount_predictions_loss: 6.4249 129/1102 [==>...........................] - ETA: 4:55 - loss: 344.3788 - logits_profile_predictions_loss: 276.5665 - logcount_predictions_loss: 6.3974 130/1102 [==>...........................] - ETA: 4:54 - loss: 344.0755 - logits_profile_predictions_loss: 276.5503 - logcount_predictions_loss: 6.3703 131/1102 [==>...........................] - ETA: 4:54 - loss: 343.7748 - logits_profile_predictions_loss: 276.5331 - logcount_predictions_loss: 6.3436 132/1102 [==>...........................] - ETA: 4:54 - loss: 343.4777 - logits_profile_predictions_loss: 276.5159 - logcount_predictions_loss: 6.3172 133/1102 [==>...........................] - ETA: 4:53 - loss: 343.1833 - logits_profile_predictions_loss: 276.4980 - logcount_predictions_loss: 6.2911 134/1102 [==>...........................] - ETA: 4:53 - loss: 342.8928 - logits_profile_predictions_loss: 276.4804 - logcount_predictions_loss: 6.2653 135/1102 [==>...........................] - ETA: 4:53 - loss: 342.6044 - logits_profile_predictions_loss: 276.4616 - logcount_predictions_loss: 6.2399 136/1102 [==>...........................] - ETA: 4:52 - loss: 342.3194 - logits_profile_predictions_loss: 276.4428 - logcount_predictions_loss: 6.2148 137/1102 [==>...........................] - ETA: 4:52 - loss: 342.0397 - logits_profile_predictions_loss: 276.4257 - logcount_predictions_loss: 6.1900 138/1102 [==>...........................] - ETA: 4:52 - loss: 341.7636 - logits_profile_predictions_loss: 276.4088 - logcount_predictions_loss: 6.1655 139/1102 [==>...........................] - ETA: 4:52 - loss: 341.4915 - logits_profile_predictions_loss: 276.3927 - logcount_predictions_loss: 6.1414 140/1102 [==>...........................] - ETA: 4:51 - loss: 341.2232 - logits_profile_predictions_loss: 276.3771 - logcount_predictions_loss: 6.1176 141/1102 [==>...........................] - ETA: 4:51 - loss: 340.9573 - logits_profile_predictions_loss: 276.3610 - logcount_predictions_loss: 6.0940 142/1102 [==>...........................] - ETA: 4:51 - loss: 340.6943 - logits_profile_predictions_loss: 276.3448 - logcount_predictions_loss: 6.0707 143/1102 [==>...........................] - ETA: 4:50 - loss: 340.4330 - logits_profile_predictions_loss: 276.3275 - logcount_predictions_loss: 6.0477 144/1102 [==>...........................] - ETA: 4:50 - loss: 340.1764 - logits_profile_predictions_loss: 276.3119 - logcount_predictions_loss: 6.0250 145/1102 [==>...........................] - ETA: 4:50 - loss: 339.9228 - logits_profile_predictions_loss: 276.2963 - logcount_predictions_loss: 6.0025 146/1102 [==>...........................] - ETA: 4:49 - loss: 339.6727 - logits_profile_predictions_loss: 276.2813 - logcount_predictions_loss: 5.9803 147/1102 [===>..........................] - ETA: 4:49 - loss: 339.4254 - logits_profile_predictions_loss: 276.2664 - logcount_predictions_loss: 5.9584 148/1102 [===>..........................] - ETA: 4:49 - loss: 339.1805 - logits_profile_predictions_loss: 276.2513 - logcount_predictions_loss: 5.9367 149/1102 [===>..........................] - ETA: 4:49 - loss: 338.9398 - logits_profile_predictions_loss: 276.2373 - logcount_predictions_loss: 5.9153 150/1102 [===>..........................] - ETA: 4:48 - loss: 338.7028 - logits_profile_predictions_loss: 276.2245 - logcount_predictions_loss: 5.8942 151/1102 [===>..........................] - ETA: 4:48 - loss: 338.4700 - logits_profile_predictions_loss: 276.2131 - logcount_predictions_loss: 5.8733 152/1102 [===>..........................] - ETA: 4:48 - loss: 338.2395 - logits_profile_predictions_loss: 276.2015 - logcount_predictions_loss: 5.8526 153/1102 [===>..........................] - ETA: 4:47 - loss: 338.0120 - logits_profile_predictions_loss: 276.1905 - logcount_predictions_loss: 5.8322 154/1102 [===>..........................] - ETA: 4:47 - loss: 337.7874 - logits_profile_predictions_loss: 276.1799 - logcount_predictions_loss: 5.8120 155/1102 [===>..........................] - ETA: 4:47 - loss: 337.5639 - logits_profile_predictions_loss: 276.1681 - logcount_predictions_loss: 5.7921 156/1102 [===>..........................] - ETA: 4:46 - loss: 337.3437 - logits_profile_predictions_loss: 276.1572 - logcount_predictions_loss: 5.7723 157/1102 [===>..........................] - ETA: 4:46 - loss: 337.1247 - logits_profile_predictions_loss: 276.1453 - logcount_predictions_loss: 5.7528 158/1102 [===>..........................] - ETA: 4:46 - loss: 336.9075 - logits_profile_predictions_loss: 276.1329 - logcount_predictions_loss: 5.7335 159/1102 [===>..........................] - ETA: 4:46 - loss: 336.6929 - logits_profile_predictions_loss: 276.1209 - logcount_predictions_loss: 5.7143 160/1102 [===>..........................] - ETA: 4:45 - loss: 336.4810 - logits_profile_predictions_loss: 276.1093 - logcount_predictions_loss: 5.6954 161/1102 [===>..........................] - ETA: 4:45 - loss: 336.2706 - logits_profile_predictions_loss: 276.0971 - logcount_predictions_loss: 5.6767 162/1102 [===>..........................] - ETA: 4:45 - loss: 336.0618 - logits_profile_predictions_loss: 276.0846 - logcount_predictions_loss: 5.6582 163/1102 [===>..........................] - ETA: 4:44 - loss: 335.8565 - logits_profile_predictions_loss: 276.0731 - logcount_predictions_loss: 5.6399 164/1102 [===>..........................] - ETA: 4:44 - loss: 335.6533 - logits_profile_predictions_loss: 276.0618 - logcount_predictions_loss: 5.6218 165/1102 [===>..........................] - ETA: 4:44 - loss: 335.4529 - logits_profile_predictions_loss: 276.0511 - logcount_predictions_loss: 5.6039 166/1102 [===>..........................] - ETA: 4:44 - loss: 335.2556 - logits_profile_predictions_loss: 276.0415 - logcount_predictions_loss: 5.5862 167/1102 [===>..........................] - ETA: 4:43 - loss: 335.0614 - logits_profile_predictions_loss: 276.0328 - logcount_predictions_loss: 5.5687 168/1102 [===>..........................] - ETA: 4:43 - loss: 334.8687 - logits_profile_predictions_loss: 276.0239 - logcount_predictions_loss: 5.5514 169/1102 [===>..........................] - ETA: 4:43 - loss: 334.6793 - logits_profile_predictions_loss: 276.0162 - logcount_predictions_loss: 5.5343 170/1102 [===>..........................] - ETA: 4:42 - loss: 334.4910 - logits_profile_predictions_loss: 276.0079 - logcount_predictions_loss: 5.5173 171/1102 [===>..........................] - ETA: 4:42 - loss: 334.3060 - logits_profile_predictions_loss: 276.0008 - logcount_predictions_loss: 5.5005 172/1102 [===>..........................] - ETA: 4:42 - loss: 334.1237 - logits_profile_predictions_loss: 275.9945 - logcount_predictions_loss: 5.4839 173/1102 [===>..........................] - ETA: 4:41 - loss: 333.9432 - logits_profile_predictions_loss: 275.9883 - logcount_predictions_loss: 5.4675 174/1102 [===>..........................] - ETA: 4:41 - loss: 333.7639 - logits_profile_predictions_loss: 275.9815 - logcount_predictions_loss: 5.4512 175/1102 [===>..........................] - ETA: 4:41 - loss: 333.5858 - logits_profile_predictions_loss: 275.9743 - logcount_predictions_loss: 5.4350 176/1102 [===>..........................] - ETA: 4:41 - loss: 333.4111 - logits_profile_predictions_loss: 275.9687 - logcount_predictions_loss: 5.4191 177/1102 [===>..........................] - ETA: 4:40 - loss: 333.2383 - logits_profile_predictions_loss: 275.9631 - logcount_predictions_loss: 5.4033 178/1102 [===>..........................] - ETA: 4:40 - loss: 333.0677 - logits_profile_predictions_loss: 275.9581 - logcount_predictions_loss: 5.3877 179/1102 [===>..........................] - ETA: 4:40 - loss: 332.8997 - logits_profile_predictions_loss: 275.9540 - logcount_predictions_loss: 5.3722 180/1102 [===>..........................] - ETA: 4:39 - loss: 332.7327 - logits_profile_predictions_loss: 275.9493 - logcount_predictions_loss: 5.3569 181/1102 [===>..........................] - ETA: 4:39 - loss: 332.5662 - logits_profile_predictions_loss: 275.9438 - logcount_predictions_loss: 5.3417 182/1102 [===>..........................] - ETA: 4:39 - loss: 332.4014 - logits_profile_predictions_loss: 275.9384 - logcount_predictions_loss: 5.3267 183/1102 [===>..........................] - ETA: 4:38 - loss: 332.2384 - logits_profile_predictions_loss: 275.9333 - logcount_predictions_loss: 5.3118 184/1102 [====>.........................] - ETA: 4:38 - loss: 332.0757 - logits_profile_predictions_loss: 275.9270 - logcount_predictions_loss: 5.2970 185/1102 [====>.........................] - ETA: 4:38 - loss: 331.9149 - logits_profile_predictions_loss: 275.9213 - logcount_predictions_loss: 5.2824 186/1102 [====>.........................] - ETA: 4:38 - loss: 331.7554 - logits_profile_predictions_loss: 275.9153 - logcount_predictions_loss: 5.2679 187/1102 [====>.........................] - ETA: 4:37 - loss: 331.5969 - logits_profile_predictions_loss: 275.9089 - logcount_predictions_loss: 5.2536 188/1102 [====>.........................] - ETA: 4:37 - loss: 331.4392 - logits_profile_predictions_loss: 275.9020 - logcount_predictions_loss: 5.2394 189/1102 [====>.........................] - ETA: 4:37 - loss: 331.2825 - logits_profile_predictions_loss: 275.8947 - logcount_predictions_loss: 5.2253 190/1102 [====>.........................] - ETA: 4:36 - loss: 331.1279 - logits_profile_predictions_loss: 275.8881 - logcount_predictions_loss: 5.2113 191/1102 [====>.........................] - ETA: 4:36 - loss: 330.9752 - logits_profile_predictions_loss: 275.8818 - logcount_predictions_loss: 5.1975 192/1102 [====>.........................] - ETA: 4:36 - loss: 330.8236 - logits_profile_predictions_loss: 275.8754 - logcount_predictions_loss: 5.1838 193/1102 [====>.........................] - ETA: 4:35 - loss: 330.6736 - logits_profile_predictions_loss: 275.8693 - logcount_predictions_loss: 5.1702 194/1102 [====>.........................] - ETA: 4:35 - loss: 330.5250 - logits_profile_predictions_loss: 275.8632 - logcount_predictions_loss: 5.1568 195/1102 [====>.........................] - ETA: 4:35 - loss: 330.3775 - logits_profile_predictions_loss: 275.8570 - logcount_predictions_loss: 5.1434 196/1102 [====>.........................] - ETA: 4:35 - loss: 330.2310 - logits_profile_predictions_loss: 275.8505 - logcount_predictions_loss: 5.1302 197/1102 [====>.........................] - ETA: 4:34 - loss: 330.0855 - logits_profile_predictions_loss: 275.8438 - logcount_predictions_loss: 5.1171 198/1102 [====>.........................] - ETA: 4:34 - loss: 329.9419 - logits_profile_predictions_loss: 275.8378 - logcount_predictions_loss: 5.1042 199/1102 [====>.........................] - ETA: 4:34 - loss: 329.7998 - logits_profile_predictions_loss: 275.8320 - logcount_predictions_loss: 5.0913 200/1102 [====>.........................] - ETA: 4:33 - loss: 329.6588 - logits_profile_predictions_loss: 275.8262 - logcount_predictions_loss: 5.0786 201/1102 [====>.........................] - ETA: 4:33 - loss: 329.5195 - logits_profile_predictions_loss: 275.8208 - logcount_predictions_loss: 5.0659 202/1102 [====>.........................] - ETA: 4:33 - loss: 329.3808 - logits_profile_predictions_loss: 275.8148 - logcount_predictions_loss: 5.0534 203/1102 [====>.........................] - ETA: 4:32 - loss: 329.2438 - logits_profile_predictions_loss: 275.8094 - logcount_predictions_loss: 5.0410 204/1102 [====>.........................] - ETA: 4:32 - loss: 329.1073 - logits_profile_predictions_loss: 275.8034 - logcount_predictions_loss: 5.0287 205/1102 [====>.........................] - ETA: 4:32 - loss: 328.9724 - logits_profile_predictions_loss: 275.7979 - logcount_predictions_loss: 5.0165 206/1102 [====>.........................] - ETA: 4:32 - loss: 328.8385 - logits_profile_predictions_loss: 275.7924 - logcount_predictions_loss: 5.0044 207/1102 [====>.........................] - ETA: 4:31 - loss: 328.7058 - logits_profile_predictions_loss: 275.7869 - logcount_predictions_loss: 4.9923 208/1102 [====>.........................] - ETA: 4:31 - loss: 328.5744 - logits_profile_predictions_loss: 275.7817 - logcount_predictions_loss: 4.9804 209/1102 [====>.........................] - ETA: 4:31 - loss: 328.4435 - logits_profile_predictions_loss: 275.7760 - logcount_predictions_loss: 4.9686 210/1102 [====>.........................] - ETA: 4:30 - loss: 328.3138 - logits_profile_predictions_loss: 275.7704 - logcount_predictions_loss: 4.9569 211/1102 [====>.........................] - ETA: 4:30 - loss: 328.1850 - logits_profile_predictions_loss: 275.7647 - logcount_predictions_loss: 4.9453 212/1102 [====>.........................] - ETA: 4:30 - loss: 328.0567 - logits_profile_predictions_loss: 275.7585 - logcount_predictions_loss: 4.9338 213/1102 [====>.........................] - ETA: 4:29 - loss: 327.9305 - logits_profile_predictions_loss: 275.7534 - logcount_predictions_loss: 4.9224 214/1102 [====>.........................] - ETA: 4:29 - loss: 327.8053 - logits_profile_predictions_loss: 275.7482 - logcount_predictions_loss: 4.9111 215/1102 [====>.........................] - ETA: 4:29 - loss: 327.6800 - logits_profile_predictions_loss: 275.7420 - logcount_predictions_loss: 4.8998 216/1102 [====>.........................] - ETA: 4:29 - loss: 327.5553 - logits_profile_predictions_loss: 275.7356 - logcount_predictions_loss: 4.8887 217/1102 [====>.........................] - ETA: 4:28 - loss: 327.4314 - logits_profile_predictions_loss: 275.7290 - logcount_predictions_loss: 4.8776 218/1102 [====>.........................] - ETA: 4:28 - loss: 327.3091 - logits_profile_predictions_loss: 275.7230 - logcount_predictions_loss: 4.8666 219/1102 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logits_profile_predictions_loss: 273.8753 - logcount_predictions_loss: 2.6767 1099/1102 [============================>.] - ETA: 1s - loss: 302.2378 - logits_profile_predictions_loss: 273.8731 - logcount_predictions_loss: 2.6759 1100/1102 [============================>.] - ETA: 0s - loss: 302.2280 - logits_profile_predictions_loss: 273.8710 - logcount_predictions_loss: 2.6752 1101/1102 [============================>.] - ETA: 0s - loss: 302.2181 - logits_profile_predictions_loss: 273.8688 - logcount_predictions_loss: 2.6745 1102/1102 [==============================] - ETA: 0s - loss: 302.2082 - logits_profile_predictions_loss: 273.8666 - logcount_predictions_loss: 2.6737 1102/1102 [==============================] - 612s 459ms/step - loss: 302.1983 - logits_profile_predictions_loss: 273.8645 - logcount_predictions_loss: 2.6730 - val_loss: 279.9131 - val_logits_profile_predictions_loss: 275.1148 - val_logcount_predictions_loss: 0.4527 + +Epoch 00001: val_loss improved from inf to 279.91306, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 2/50 + 1/1102 [..............................] - ETA: 5:43 - loss: 321.5936 - logits_profile_predictions_loss: 316.0925 - logcount_predictions_loss: 0.5190 2/1102 [..............................] - ETA: 5:32 - loss: 309.3826 - logits_profile_predictions_loss: 303.8412 - logcount_predictions_loss: 0.5228 3/1102 [..............................] - ETA: 5:31 - loss: 303.1381 - logits_profile_predictions_loss: 297.5567 - logcount_predictions_loss: 0.5265 4/1102 [..............................] - ETA: 5:30 - loss: 298.6078 - logits_profile_predictions_loss: 293.0291 - logcount_predictions_loss: 0.5263 5/1102 [..............................] - ETA: 5:30 - loss: 294.5897 - logits_profile_predictions_loss: 289.0659 - logcount_predictions_loss: 0.5211 6/1102 [..............................] - ETA: 5:30 - loss: 291.4812 - logits_profile_predictions_loss: 286.0373 - logcount_predictions_loss: 0.5136 7/1102 [..............................] - ETA: 5:29 - loss: 289.1697 - logits_profile_predictions_loss: 283.7908 - logcount_predictions_loss: 0.5074 8/1102 [..............................] - ETA: 5:29 - loss: 287.4925 - logits_profile_predictions_loss: 282.1471 - logcount_predictions_loss: 0.5043 9/1102 [..............................] - ETA: 5:29 - loss: 285.8525 - logits_profile_predictions_loss: 280.5391 - logcount_predictions_loss: 0.5013 10/1102 [..............................] - ETA: 5:28 - loss: 284.2958 - logits_profile_predictions_loss: 279.0154 - logcount_predictions_loss: 0.4982 11/1102 [..............................] - ETA: 5:28 - loss: 282.8404 - logits_profile_predictions_loss: 277.5853 - logcount_predictions_loss: 0.4958 12/1102 [..............................] - ETA: 5:28 - loss: 281.6935 - logits_profile_predictions_loss: 276.4554 - logcount_predictions_loss: 0.4942 13/1102 [..............................] - ETA: 5:27 - loss: 280.8758 - logits_profile_predictions_loss: 275.6499 - logcount_predictions_loss: 0.4930 14/1102 [..............................] - ETA: 5:27 - loss: 280.1494 - logits_profile_predictions_loss: 274.9382 - logcount_predictions_loss: 0.4916 15/1102 [..............................] - ETA: 5:27 - loss: 279.5884 - logits_profile_predictions_loss: 274.3941 - logcount_predictions_loss: 0.4900 16/1102 [..............................] - ETA: 5:26 - loss: 279.1022 - logits_profile_predictions_loss: 273.9223 - logcount_predictions_loss: 0.4887 17/1102 [..............................] - ETA: 5:26 - loss: 278.6112 - logits_profile_predictions_loss: 273.4436 - logcount_predictions_loss: 0.4875 18/1102 [..............................] - ETA: 5:26 - loss: 278.2846 - logits_profile_predictions_loss: 273.1240 - logcount_predictions_loss: 0.4868 19/1102 [..............................] - ETA: 5:25 - loss: 277.9337 - logits_profile_predictions_loss: 272.7816 - logcount_predictions_loss: 0.4860 20/1102 [..............................] - ETA: 5:24 - loss: 277.6285 - logits_profile_predictions_loss: 272.4858 - logcount_predictions_loss: 0.4852 21/1102 [..............................] - ETA: 5:24 - loss: 277.3724 - logits_profile_predictions_loss: 272.2396 - logcount_predictions_loss: 0.4842 22/1102 [..............................] - ETA: 5:24 - loss: 277.1433 - logits_profile_predictions_loss: 272.0179 - logcount_predictions_loss: 0.4835 23/1102 [..............................] - ETA: 5:24 - loss: 276.9595 - logits_profile_predictions_loss: 271.8402 - logcount_predictions_loss: 0.4829 24/1102 [..............................] - ETA: 5:23 - loss: 276.7603 - logits_profile_predictions_loss: 271.6465 - logcount_predictions_loss: 0.4824 25/1102 [..............................] - ETA: 5:23 - loss: 276.5206 - logits_profile_predictions_loss: 271.4125 - logcount_predictions_loss: 0.4819 26/1102 [..............................] - ETA: 5:23 - loss: 276.3427 - logits_profile_predictions_loss: 271.2374 - logcount_predictions_loss: 0.4816 27/1102 [..............................] - ETA: 5:23 - loss: 276.1984 - logits_profile_predictions_loss: 271.0944 - logcount_predictions_loss: 0.4815 28/1102 [..............................] - ETA: 5:22 - loss: 276.0178 - logits_profile_predictions_loss: 270.9165 - logcount_predictions_loss: 0.4813 29/1102 [..............................] - ETA: 5:22 - loss: 275.8797 - logits_profile_predictions_loss: 270.7799 - logcount_predictions_loss: 0.4811 30/1102 [..............................] - ETA: 5:22 - loss: 275.7513 - logits_profile_predictions_loss: 270.6532 - logcount_predictions_loss: 0.4810 31/1102 [..............................] - ETA: 5:22 - loss: 275.6394 - logits_profile_predictions_loss: 270.5434 - logcount_predictions_loss: 0.4808 32/1102 [..............................] - ETA: 5:21 - loss: 275.5192 - logits_profile_predictions_loss: 270.4246 - logcount_predictions_loss: 0.4806 33/1102 [..............................] - ETA: 5:21 - loss: 275.3741 - logits_profile_predictions_loss: 270.2812 - logcount_predictions_loss: 0.4805 34/1102 [..............................] - ETA: 5:21 - loss: 275.2636 - logits_profile_predictions_loss: 270.1709 - logcount_predictions_loss: 0.4804 35/1102 [..............................] - ETA: 5:20 - loss: 275.1716 - logits_profile_predictions_loss: 270.0786 - logcount_predictions_loss: 0.4805 36/1102 [..............................] - ETA: 5:20 - loss: 275.0929 - logits_profile_predictions_loss: 270.0000 - logcount_predictions_loss: 0.4805 37/1102 [>.............................] - ETA: 5:20 - loss: 275.0220 - logits_profile_predictions_loss: 269.9294 - logcount_predictions_loss: 0.4804 38/1102 [>.............................] - ETA: 5:20 - loss: 274.9727 - logits_profile_predictions_loss: 269.8804 - logcount_predictions_loss: 0.4804 39/1102 [>.............................] - ETA: 5:19 - loss: 274.9176 - logits_profile_predictions_loss: 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[>.............................] - ETA: 5:12 - loss: 274.5386 - logits_profile_predictions_loss: 269.3217 - logcount_predictions_loss: 0.4922 67/1102 [>.............................] - ETA: 5:12 - loss: 274.5167 - logits_profile_predictions_loss: 269.2968 - logcount_predictions_loss: 0.4924 68/1102 [>.............................] - ETA: 5:11 - loss: 274.4904 - logits_profile_predictions_loss: 269.2678 - logcount_predictions_loss: 0.4927 69/1102 [>.............................] - ETA: 5:11 - loss: 274.4695 - logits_profile_predictions_loss: 269.2444 - logcount_predictions_loss: 0.4929 70/1102 [>.............................] - ETA: 5:11 - loss: 274.4486 - logits_profile_predictions_loss: 269.2212 - logcount_predictions_loss: 0.4932 71/1102 [>.............................] - ETA: 5:10 - loss: 274.4288 - logits_profile_predictions_loss: 269.1993 - logcount_predictions_loss: 0.4933 72/1102 [>.............................] - ETA: 5:10 - loss: 274.4136 - logits_profile_predictions_loss: 269.1825 - logcount_predictions_loss: 0.4935 73/1102 [>.............................] - ETA: 5:10 - loss: 274.4040 - logits_profile_predictions_loss: 269.1712 - logcount_predictions_loss: 0.4937 74/1102 [=>............................] - ETA: 5:10 - loss: 274.3952 - logits_profile_predictions_loss: 269.1610 - logcount_predictions_loss: 0.4938 75/1102 [=>............................] - ETA: 5:09 - loss: 274.3905 - logits_profile_predictions_loss: 269.1550 - logcount_predictions_loss: 0.4939 76/1102 [=>............................] - ETA: 5:09 - loss: 274.3863 - logits_profile_predictions_loss: 269.1496 - logcount_predictions_loss: 0.4940 77/1102 [=>............................] - ETA: 5:09 - loss: 274.3798 - logits_profile_predictions_loss: 269.1421 - logcount_predictions_loss: 0.4941 78/1102 [=>............................] - ETA: 5:08 - loss: 274.3762 - logits_profile_predictions_loss: 269.1376 - logcount_predictions_loss: 0.4942 79/1102 [=>............................] - ETA: 5:08 - loss: 274.3717 - logits_profile_predictions_loss: 269.1323 - logcount_predictions_loss: 0.4943 80/1102 [=>............................] - ETA: 5:08 - loss: 274.3675 - logits_profile_predictions_loss: 269.1275 - logcount_predictions_loss: 0.4943 81/1102 [=>............................] - ETA: 5:08 - loss: 274.3633 - logits_profile_predictions_loss: 269.1227 - logcount_predictions_loss: 0.4944 82/1102 [=>............................] - ETA: 5:07 - loss: 274.3597 - logits_profile_predictions_loss: 269.1185 - logcount_predictions_loss: 0.4945 83/1102 [=>............................] - ETA: 5:07 - loss: 274.3544 - logits_profile_predictions_loss: 269.1128 - logcount_predictions_loss: 0.4945 84/1102 [=>............................] - ETA: 5:07 - loss: 274.3471 - logits_profile_predictions_loss: 269.1057 - logcount_predictions_loss: 0.4945 85/1102 [=>............................] - ETA: 5:06 - loss: 274.3418 - logits_profile_predictions_loss: 269.1005 - logcount_predictions_loss: 0.4945 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[=>............................] - ETA: 5:02 - loss: 274.1929 - logits_profile_predictions_loss: 268.9619 - logcount_predictions_loss: 0.4935 100/1102 [=>............................] - ETA: 5:02 - loss: 274.1792 - logits_profile_predictions_loss: 268.9494 - logcount_predictions_loss: 0.4934 101/1102 [=>............................] - ETA: 5:02 - loss: 274.1678 - logits_profile_predictions_loss: 268.9394 - logcount_predictions_loss: 0.4932 102/1102 [=>............................] - ETA: 5:02 - loss: 274.1556 - logits_profile_predictions_loss: 268.9286 - logcount_predictions_loss: 0.4931 103/1102 [=>............................] - ETA: 5:01 - loss: 274.1428 - logits_profile_predictions_loss: 268.9173 - logcount_predictions_loss: 0.4930 104/1102 [=>............................] - ETA: 5:01 - loss: 274.1320 - logits_profile_predictions_loss: 268.9079 - logcount_predictions_loss: 0.4928 105/1102 [=>............................] - ETA: 5:01 - loss: 274.1217 - logits_profile_predictions_loss: 268.8990 - logcount_predictions_loss: 0.4927 106/1102 [=>............................] - ETA: 5:00 - loss: 274.1117 - logits_profile_predictions_loss: 268.8905 - logcount_predictions_loss: 0.4926 107/1102 [=>............................] - ETA: 5:00 - loss: 274.1013 - logits_profile_predictions_loss: 268.8815 - logcount_predictions_loss: 0.4924 108/1102 [=>............................] - ETA: 5:00 - loss: 274.0891 - logits_profile_predictions_loss: 268.8706 - logcount_predictions_loss: 0.4923 109/1102 [=>............................] - ETA: 5:00 - loss: 274.0760 - logits_profile_predictions_loss: 268.8589 - logcount_predictions_loss: 0.4922 110/1102 [=>............................] - ETA: 4:59 - loss: 274.0616 - logits_profile_predictions_loss: 268.8457 - logcount_predictions_loss: 0.4921 111/1102 [==>...........................] - ETA: 4:59 - loss: 274.0478 - logits_profile_predictions_loss: 268.8333 - logcount_predictions_loss: 0.4919 112/1102 [==>...........................] - ETA: 4:59 - loss: 274.0367 - logits_profile_predictions_loss: 268.8232 - logcount_predictions_loss: 0.4918 113/1102 [==>...........................] - ETA: 4:58 - loss: 274.0243 - logits_profile_predictions_loss: 268.8118 - logcount_predictions_loss: 0.4917 114/1102 [==>...........................] - ETA: 4:58 - loss: 274.0120 - logits_profile_predictions_loss: 268.8007 - logcount_predictions_loss: 0.4916 115/1102 [==>...........................] - ETA: 4:58 - loss: 273.9994 - logits_profile_predictions_loss: 268.7894 - logcount_predictions_loss: 0.4915 116/1102 [==>...........................] - ETA: 4:58 - loss: 273.9859 - logits_profile_predictions_loss: 268.7770 - logcount_predictions_loss: 0.4914 117/1102 [==>...........................] - ETA: 4:57 - loss: 273.9709 - logits_profile_predictions_loss: 268.7634 - logcount_predictions_loss: 0.4913 118/1102 [==>...........................] - ETA: 4:57 - loss: 273.9564 - logits_profile_predictions_loss: 268.7502 - logcount_predictions_loss: 0.4912 119/1102 [==>...........................] - ETA: 4:57 - loss: 273.9436 - logits_profile_predictions_loss: 268.7386 - logcount_predictions_loss: 0.4910 120/1102 [==>...........................] - ETA: 4:56 - loss: 273.9315 - logits_profile_predictions_loss: 268.7278 - logcount_predictions_loss: 0.4909 121/1102 [==>...........................] - ETA: 4:56 - loss: 273.9202 - logits_profile_predictions_loss: 268.7177 - logcount_predictions_loss: 0.4908 122/1102 [==>...........................] - ETA: 4:56 - loss: 273.9080 - logits_profile_predictions_loss: 268.7067 - logcount_predictions_loss: 0.4907 123/1102 [==>...........................] - ETA: 4:55 - loss: 273.8955 - logits_profile_predictions_loss: 268.6955 - logcount_predictions_loss: 0.4906 124/1102 [==>...........................] - ETA: 4:55 - loss: 273.8816 - logits_profile_predictions_loss: 268.6829 - logcount_predictions_loss: 0.4905 125/1102 [==>...........................] - ETA: 4:55 - loss: 273.8684 - logits_profile_predictions_loss: 268.6709 - logcount_predictions_loss: 0.4903 126/1102 [==>...........................] - ETA: 4:55 - loss: 273.8553 - logits_profile_predictions_loss: 268.6590 - logcount_predictions_loss: 0.4902 127/1102 [==>...........................] - ETA: 4:54 - loss: 273.8419 - logits_profile_predictions_loss: 268.6467 - logcount_predictions_loss: 0.4901 128/1102 [==>...........................] - ETA: 4:54 - loss: 273.8290 - logits_profile_predictions_loss: 268.6349 - logcount_predictions_loss: 0.4900 129/1102 [==>...........................] - ETA: 4:54 - loss: 273.8156 - logits_profile_predictions_loss: 268.6227 - logcount_predictions_loss: 0.4899 130/1102 [==>...........................] - ETA: 4:53 - loss: 273.8046 - logits_profile_predictions_loss: 268.6128 - logcount_predictions_loss: 0.4898 131/1102 [==>...........................] - ETA: 4:53 - loss: 273.7938 - logits_profile_predictions_loss: 268.6031 - logcount_predictions_loss: 0.4897 132/1102 [==>...........................] - ETA: 4:53 - loss: 273.7819 - logits_profile_predictions_loss: 268.5924 - logcount_predictions_loss: 0.4896 133/1102 [==>...........................] - ETA: 4:53 - loss: 273.7700 - logits_profile_predictions_loss: 268.5817 - logcount_predictions_loss: 0.4895 134/1102 [==>...........................] - ETA: 4:52 - loss: 273.7580 - logits_profile_predictions_loss: 268.5709 - logcount_predictions_loss: 0.4894 135/1102 [==>...........................] - ETA: 4:52 - loss: 273.7457 - logits_profile_predictions_loss: 268.5596 - logcount_predictions_loss: 0.4893 136/1102 [==>...........................] - ETA: 4:52 - loss: 273.7330 - logits_profile_predictions_loss: 268.5479 - logcount_predictions_loss: 0.4892 137/1102 [==>...........................] - ETA: 4:51 - loss: 273.7199 - logits_profile_predictions_loss: 268.5358 - logcount_predictions_loss: 0.4891 138/1102 [==>...........................] - ETA: 4:51 - loss: 273.7066 - logits_profile_predictions_loss: 268.5236 - logcount_predictions_loss: 0.4890 139/1102 [==>...........................] - ETA: 4:51 - loss: 273.6927 - logits_profile_predictions_loss: 268.5107 - logcount_predictions_loss: 0.4889 140/1102 [==>...........................] - ETA: 4:50 - loss: 273.6803 - logits_profile_predictions_loss: 268.4994 - logcount_predictions_loss: 0.4888 141/1102 [==>...........................] - ETA: 4:50 - loss: 273.6692 - logits_profile_predictions_loss: 268.4894 - logcount_predictions_loss: 0.4887 142/1102 [==>...........................] - ETA: 4:50 - loss: 273.6580 - logits_profile_predictions_loss: 268.4791 - logcount_predictions_loss: 0.4886 143/1102 [==>...........................] - ETA: 4:50 - loss: 273.6462 - logits_profile_predictions_loss: 268.4684 - logcount_predictions_loss: 0.4885 144/1102 [==>...........................] - ETA: 4:49 - loss: 273.6344 - logits_profile_predictions_loss: 268.4576 - logcount_predictions_loss: 0.4884 145/1102 [==>...........................] - ETA: 4:49 - loss: 273.6221 - logits_profile_predictions_loss: 268.4463 - logcount_predictions_loss: 0.4883 146/1102 [==>...........................] - ETA: 4:49 - loss: 273.6104 - logits_profile_predictions_loss: 268.4356 - logcount_predictions_loss: 0.4882 147/1102 [===>..........................] - ETA: 4:48 - loss: 273.5991 - logits_profile_predictions_loss: 268.4253 - logcount_predictions_loss: 0.4881 148/1102 [===>..........................] - ETA: 4:48 - loss: 273.5868 - logits_profile_predictions_loss: 268.4140 - logcount_predictions_loss: 0.4880 149/1102 [===>..........................] - ETA: 4:48 - loss: 273.5751 - logits_profile_predictions_loss: 268.4034 - logcount_predictions_loss: 0.4879 150/1102 [===>..........................] - ETA: 4:48 - loss: 273.5638 - logits_profile_predictions_loss: 268.3931 - logcount_predictions_loss: 0.4878 151/1102 [===>..........................] - ETA: 4:47 - loss: 273.5523 - logits_profile_predictions_loss: 268.3827 - logcount_predictions_loss: 0.4877 152/1102 [===>..........................] - ETA: 4:47 - loss: 273.5409 - logits_profile_predictions_loss: 268.3723 - logcount_predictions_loss: 0.4876 153/1102 [===>..........................] - ETA: 4:47 - loss: 273.5290 - logits_profile_predictions_loss: 268.3614 - logcount_predictions_loss: 0.4875 154/1102 [===>..........................] - ETA: 4:46 - loss: 273.5165 - logits_profile_predictions_loss: 268.3500 - logcount_predictions_loss: 0.4874 155/1102 [===>..........................] - ETA: 4:46 - loss: 273.5056 - logits_profile_predictions_loss: 268.3402 - logcount_predictions_loss: 0.4873 156/1102 [===>..........................] - ETA: 4:46 - loss: 273.4954 - logits_profile_predictions_loss: 268.3309 - logcount_predictions_loss: 0.4872 157/1102 [===>..........................] - ETA: 4:45 - loss: 273.4852 - logits_profile_predictions_loss: 268.3218 - logcount_predictions_loss: 0.4871 158/1102 [===>..........................] - ETA: 4:45 - loss: 273.4750 - logits_profile_predictions_loss: 268.3126 - logcount_predictions_loss: 0.4870 159/1102 [===>..........................] - ETA: 4:45 - loss: 273.4670 - logits_profile_predictions_loss: 268.3057 - logcount_predictions_loss: 0.4869 160/1102 [===>..........................] - ETA: 4:45 - loss: 273.4594 - logits_profile_predictions_loss: 268.2991 - logcount_predictions_loss: 0.4868 161/1102 [===>..........................] - ETA: 4:44 - loss: 273.4517 - logits_profile_predictions_loss: 268.2925 - logcount_predictions_loss: 0.4867 162/1102 [===>..........................] - ETA: 4:44 - loss: 273.4427 - logits_profile_predictions_loss: 268.2846 - logcount_predictions_loss: 0.4866 163/1102 [===>..........................] - ETA: 4:44 - loss: 273.4339 - logits_profile_predictions_loss: 268.2769 - logcount_predictions_loss: 0.4865 164/1102 [===>..........................] - ETA: 4:43 - loss: 273.4266 - logits_profile_predictions_loss: 268.2706 - logcount_predictions_loss: 0.4864 165/1102 [===>..........................] - ETA: 4:43 - loss: 273.4194 - logits_profile_predictions_loss: 268.2645 - logcount_predictions_loss: 0.4863 166/1102 [===>..........................] - ETA: 4:43 - loss: 273.4121 - logits_profile_predictions_loss: 268.2582 - logcount_predictions_loss: 0.4862 167/1102 [===>..........................] - ETA: 4:42 - loss: 273.4047 - logits_profile_predictions_loss: 268.2519 - logcount_predictions_loss: 0.4861 168/1102 [===>..........................] - ETA: 4:42 - loss: 273.3984 - logits_profile_predictions_loss: 268.2466 - logcount_predictions_loss: 0.4860 169/1102 [===>..........................] - ETA: 4:42 - loss: 273.3929 - logits_profile_predictions_loss: 268.2422 - logcount_predictions_loss: 0.4859 170/1102 [===>..........................] - ETA: 4:42 - loss: 273.3867 - logits_profile_predictions_loss: 268.2371 - logcount_predictions_loss: 0.4858 171/1102 [===>..........................] - ETA: 4:41 - loss: 273.3807 - logits_profile_predictions_loss: 268.2322 - logcount_predictions_loss: 0.4857 172/1102 [===>..........................] - ETA: 4:41 - loss: 273.3750 - logits_profile_predictions_loss: 268.2274 - logcount_predictions_loss: 0.4856 173/1102 [===>..........................] - ETA: 4:41 - loss: 273.3687 - logits_profile_predictions_loss: 268.2222 - logcount_predictions_loss: 0.4855 174/1102 [===>..........................] - ETA: 4:40 - loss: 273.3626 - logits_profile_predictions_loss: 268.2171 - logcount_predictions_loss: 0.4854 175/1102 [===>..........................] - ETA: 4:40 - loss: 273.3572 - logits_profile_predictions_loss: 268.2128 - logcount_predictions_loss: 0.4853 176/1102 [===>..........................] - ETA: 4:40 - loss: 273.3519 - logits_profile_predictions_loss: 268.2085 - logcount_predictions_loss: 0.4852 177/1102 [===>..........................] - ETA: 4:40 - loss: 273.3468 - logits_profile_predictions_loss: 268.2045 - logcount_predictions_loss: 0.4851 178/1102 [===>..........................] - ETA: 4:39 - loss: 273.3409 - logits_profile_predictions_loss: 268.1996 - logcount_predictions_loss: 0.4850 179/1102 [===>..........................] - ETA: 4:39 - loss: 273.3344 - logits_profile_predictions_loss: 268.1941 - logcount_predictions_loss: 0.4849 180/1102 [===>..........................] - ETA: 4:39 - loss: 273.3278 - logits_profile_predictions_loss: 268.1885 - logcount_predictions_loss: 0.4849 181/1102 [===>..........................] - ETA: 4:38 - loss: 273.3217 - logits_profile_predictions_loss: 268.1832 - logcount_predictions_loss: 0.4848 182/1102 [===>..........................] - ETA: 4:38 - loss: 273.3152 - logits_profile_predictions_loss: 268.1777 - logcount_predictions_loss: 0.4847 183/1102 [===>..........................] - ETA: 4:38 - loss: 273.3095 - logits_profile_predictions_loss: 268.1730 - logcount_predictions_loss: 0.4846 184/1102 [====>.........................] - ETA: 4:37 - loss: 273.3043 - logits_profile_predictions_loss: 268.1687 - logcount_predictions_loss: 0.4845 185/1102 [====>.........................] - ETA: 4:37 - loss: 273.2989 - logits_profile_predictions_loss: 268.1642 - logcount_predictions_loss: 0.4844 186/1102 [====>.........................] - ETA: 4:37 - loss: 273.2932 - logits_profile_predictions_loss: 268.1594 - logcount_predictions_loss: 0.4843 187/1102 [====>.........................] - ETA: 4:37 - loss: 273.2874 - logits_profile_predictions_loss: 268.1545 - logcount_predictions_loss: 0.4842 188/1102 [====>.........................] - ETA: 4:36 - loss: 273.2813 - logits_profile_predictions_loss: 268.1492 - logcount_predictions_loss: 0.4842 189/1102 [====>.........................] - ETA: 4:36 - loss: 273.2754 - logits_profile_predictions_loss: 268.1441 - logcount_predictions_loss: 0.4841 190/1102 [====>.........................] - ETA: 4:36 - loss: 273.2699 - logits_profile_predictions_loss: 268.1394 - logcount_predictions_loss: 0.4840 191/1102 [====>.........................] - ETA: 4:35 - loss: 273.2648 - logits_profile_predictions_loss: 268.1351 - logcount_predictions_loss: 0.4839 192/1102 [====>.........................] - ETA: 4:35 - loss: 273.2595 - logits_profile_predictions_loss: 268.1307 - logcount_predictions_loss: 0.4839 193/1102 [====>.........................] - ETA: 4:35 - loss: 273.2545 - logits_profile_predictions_loss: 268.1264 - logcount_predictions_loss: 0.4838 194/1102 [====>.........................] - ETA: 4:34 - loss: 273.2513 - logits_profile_predictions_loss: 268.1240 - logcount_predictions_loss: 0.4837 195/1102 [====>.........................] - ETA: 4:34 - loss: 273.2483 - logits_profile_predictions_loss: 268.1218 - logcount_predictions_loss: 0.4836 196/1102 [====>.........................] - ETA: 4:34 - loss: 273.2456 - logits_profile_predictions_loss: 268.1199 - logcount_predictions_loss: 0.4836 197/1102 [====>.........................] - ETA: 4:34 - loss: 273.2421 - logits_profile_predictions_loss: 268.1171 - logcount_predictions_loss: 0.4835 198/1102 [====>.........................] - ETA: 4:33 - loss: 273.2392 - logits_profile_predictions_loss: 268.1149 - logcount_predictions_loss: 0.4834 199/1102 [====>.........................] - ETA: 4:33 - loss: 273.2365 - logits_profile_predictions_loss: 268.1130 - logcount_predictions_loss: 0.4834 200/1102 [====>.........................] - ETA: 4:33 - loss: 273.2337 - logits_profile_predictions_loss: 268.1110 - logcount_predictions_loss: 0.4833 201/1102 [====>.........................] - ETA: 4:32 - loss: 273.2311 - logits_profile_predictions_loss: 268.1092 - logcount_predictions_loss: 0.4832 202/1102 [====>.........................] - ETA: 4:32 - loss: 273.2286 - logits_profile_predictions_loss: 268.1074 - logcount_predictions_loss: 0.4831 203/1102 [====>.........................] - ETA: 4:32 - loss: 273.2262 - logits_profile_predictions_loss: 268.1059 - logcount_predictions_loss: 0.4831 204/1102 [====>.........................] - ETA: 4:32 - loss: 273.2239 - logits_profile_predictions_loss: 268.1044 - logcount_predictions_loss: 0.4830 205/1102 [====>.........................] - ETA: 4:31 - loss: 273.2215 - logits_profile_predictions_loss: 268.1028 - logcount_predictions_loss: 0.4829 206/1102 [====>.........................] - ETA: 4:31 - loss: 273.2186 - logits_profile_predictions_loss: 268.1007 - logcount_predictions_loss: 0.4828 207/1102 [====>.........................] - ETA: 4:31 - loss: 273.2153 - logits_profile_predictions_loss: 268.0982 - logcount_predictions_loss: 0.4828 208/1102 [====>.........................] - ETA: 4:30 - loss: 273.2127 - logits_profile_predictions_loss: 268.0964 - logcount_predictions_loss: 0.4827 209/1102 [====>.........................] - ETA: 4:30 - loss: 273.2101 - logits_profile_predictions_loss: 268.0945 - logcount_predictions_loss: 0.4826 210/1102 [====>.........................] - ETA: 4:30 - loss: 273.2068 - logits_profile_predictions_loss: 268.0920 - logcount_predictions_loss: 0.4825 211/1102 [====>.........................] - ETA: 4:29 - loss: 273.2035 - logits_profile_predictions_loss: 268.0894 - logcount_predictions_loss: 0.4825 212/1102 [====>.........................] - ETA: 4:29 - loss: 273.2007 - logits_profile_predictions_loss: 268.0874 - logcount_predictions_loss: 0.4824 213/1102 [====>.........................] - ETA: 4:29 - loss: 273.1977 - logits_profile_predictions_loss: 268.0851 - logcount_predictions_loss: 0.4823 214/1102 [====>.........................] - ETA: 4:29 - loss: 273.1948 - logits_profile_predictions_loss: 268.0829 - logcount_predictions_loss: 0.4823 215/1102 [====>.........................] - ETA: 4:28 - loss: 273.1922 - logits_profile_predictions_loss: 268.0811 - logcount_predictions_loss: 0.4822 216/1102 [====>.........................] - ETA: 4:28 - loss: 273.1904 - logits_profile_predictions_loss: 268.0801 - logcount_predictions_loss: 0.4821 217/1102 [====>.........................] - ETA: 4:28 - loss: 273.1892 - logits_profile_predictions_loss: 268.0797 - logcount_predictions_loss: 0.4820 218/1102 [====>.........................] - ETA: 4:27 - loss: 273.1880 - logits_profile_predictions_loss: 268.0793 - logcount_predictions_loss: 0.4820 219/1102 [====>.........................] - ETA: 4:27 - loss: 273.1865 - logits_profile_predictions_loss: 268.0786 - logcount_predictions_loss: 0.4819 220/1102 [====>.........................] - ETA: 4:27 - loss: 273.1855 - logits_profile_predictions_loss: 268.0784 - logcount_predictions_loss: 0.4818 221/1102 [=====>........................] - ETA: 4:26 - loss: 273.1842 - logits_profile_predictions_loss: 268.0779 - logcount_predictions_loss: 0.4817 222/1102 [=====>........................] - ETA: 4:26 - loss: 273.1832 - logits_profile_predictions_loss: 268.0775 - logcount_predictions_loss: 0.4817 223/1102 [=====>........................] - ETA: 4:26 - loss: 273.1825 - logits_profile_predictions_loss: 268.0777 - logcount_predictions_loss: 0.4816 224/1102 [=====>........................] - ETA: 4:26 - loss: 273.1817 - logits_profile_predictions_loss: 268.0776 - logcount_predictions_loss: 0.4815 225/1102 [=====>........................] - ETA: 4:25 - loss: 273.1807 - logits_profile_predictions_loss: 268.0773 - logcount_predictions_loss: 0.4815 226/1102 [=====>........................] - ETA: 4:25 - loss: 273.1799 - logits_profile_predictions_loss: 268.0773 - logcount_predictions_loss: 0.4814 227/1102 [=====>........................] - ETA: 4:25 - loss: 273.1788 - logits_profile_predictions_loss: 268.0770 - logcount_predictions_loss: 0.4813 228/1102 [=====>........................] - ETA: 4:24 - loss: 273.1782 - logits_profile_predictions_loss: 268.0771 - logcount_predictions_loss: 0.4812 229/1102 [=====>........................] - ETA: 4:24 - loss: 273.1781 - logits_profile_predictions_loss: 268.0777 - logcount_predictions_loss: 0.4812 230/1102 [=====>........................] - ETA: 4:24 - loss: 273.1780 - logits_profile_predictions_loss: 268.0784 - logcount_predictions_loss: 0.4811 231/1102 [=====>........................] - ETA: 4:23 - loss: 273.1781 - logits_profile_predictions_loss: 268.0793 - logcount_predictions_loss: 0.4810 232/1102 [=====>........................] - ETA: 4:23 - loss: 273.1783 - logits_profile_predictions_loss: 268.0802 - logcount_predictions_loss: 0.4810 233/1102 [=====>........................] - ETA: 4:23 - loss: 273.1786 - logits_profile_predictions_loss: 268.0813 - logcount_predictions_loss: 0.4809 234/1102 [=====>........................] - ETA: 4:23 - loss: 273.1785 - logits_profile_predictions_loss: 268.0820 - logcount_predictions_loss: 0.4808 235/1102 [=====>........................] - ETA: 4:22 - loss: 273.1782 - logits_profile_predictions_loss: 268.0825 - logcount_predictions_loss: 0.4807 236/1102 [=====>........................] - ETA: 4:22 - loss: 273.1779 - logits_profile_predictions_loss: 268.0830 - logcount_predictions_loss: 0.4807 237/1102 [=====>........................] - ETA: 4:22 - loss: 273.1779 - logits_profile_predictions_loss: 268.0838 - logcount_predictions_loss: 0.4806 238/1102 [=====>........................] - ETA: 4:21 - loss: 273.1780 - logits_profile_predictions_loss: 268.0847 - logcount_predictions_loss: 0.4805 239/1102 [=====>........................] - ETA: 4:21 - loss: 273.1782 - logits_profile_predictions_loss: 268.0857 - logcount_predictions_loss: 0.4804 240/1102 [=====>........................] - ETA: 4:21 - loss: 273.1782 - logits_profile_predictions_loss: 268.0865 - logcount_predictions_loss: 0.4804 241/1102 [=====>........................] - ETA: 4:21 - loss: 273.1779 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4803 242/1102 [=====>........................] - ETA: 4:20 - loss: 273.1775 - logits_profile_predictions_loss: 268.0874 - logcount_predictions_loss: 0.4802 243/1102 [=====>........................] - ETA: 4:20 - loss: 273.1769 - logits_profile_predictions_loss: 268.0876 - logcount_predictions_loss: 0.4801 244/1102 [=====>........................] - ETA: 4:20 - loss: 273.1761 - logits_profile_predictions_loss: 268.0876 - logcount_predictions_loss: 0.4801 245/1102 [=====>........................] - ETA: 4:19 - loss: 273.1749 - logits_profile_predictions_loss: 268.0873 - logcount_predictions_loss: 0.4800 246/1102 [=====>........................] - ETA: 4:19 - loss: 273.1738 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4799 247/1102 [=====>........................] - ETA: 4:19 - loss: 273.1729 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4798 248/1102 [=====>........................] - ETA: 4:18 - loss: 273.1722 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4797 249/1102 [=====>........................] - ETA: 4:18 - loss: 273.1712 - logits_profile_predictions_loss: 268.0869 - logcount_predictions_loss: 0.4797 250/1102 [=====>........................] - ETA: 4:18 - loss: 273.1703 - logits_profile_predictions_loss: 268.0868 - logcount_predictions_loss: 0.4796 251/1102 [=====>........................] - ETA: 4:18 - loss: 273.1700 - logits_profile_predictions_loss: 268.0873 - logcount_predictions_loss: 0.4795 252/1102 [=====>........................] - ETA: 4:17 - loss: 273.1693 - logits_profile_predictions_loss: 268.0874 - logcount_predictions_loss: 0.4794 253/1102 [=====>........................] - ETA: 4:17 - loss: 273.1690 - logits_profile_predictions_loss: 268.0879 - logcount_predictions_loss: 0.4794 254/1102 [=====>........................] - ETA: 4:17 - loss: 273.1689 - logits_profile_predictions_loss: 268.0886 - logcount_predictions_loss: 0.4793 255/1102 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[==============================] - ETA: 0s - loss: 272.5528 - logits_profile_predictions_loss: 267.8768 - logcount_predictions_loss: 0.4411 1102/1102 [==============================] - 348s 315ms/step - loss: 272.5523 - logits_profile_predictions_loss: 267.8765 - logcount_predictions_loss: 0.4411 - val_loss: 276.2790 - val_logits_profile_predictions_loss: 272.2820 - val_logcount_predictions_loss: 0.3771 + +Epoch 00002: val_loss improved from 279.91306 to 276.27896, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 3/50 + 1/1102 [..............................] - ETA: 5:44 - loss: 282.2648 - logits_profile_predictions_loss: 277.7659 - logcount_predictions_loss: 0.4244 2/1102 [..............................] - ETA: 5:33 - loss: 283.8220 - logits_profile_predictions_loss: 279.7495 - logcount_predictions_loss: 0.3842 3/1102 [..............................] - ETA: 5:32 - loss: 281.1484 - logits_profile_predictions_loss: 277.0031 - logcount_predictions_loss: 0.3911 4/1102 [..............................] - ETA: 5:33 - loss: 279.5829 - logits_profile_predictions_loss: 275.4559 - logcount_predictions_loss: 0.3893 5/1102 [..............................] - ETA: 5:32 - loss: 277.5485 - logits_profile_predictions_loss: 273.4750 - logcount_predictions_loss: 0.3843 6/1102 [..............................] - ETA: 5:32 - loss: 275.8021 - logits_profile_predictions_loss: 271.7487 - logcount_predictions_loss: 0.3824 7/1102 [..............................] - ETA: 5:32 - loss: 274.3732 - logits_profile_predictions_loss: 270.3178 - logcount_predictions_loss: 0.3826 8/1102 [..............................] - ETA: 5:32 - loss: 273.2995 - logits_profile_predictions_loss: 269.2415 - logcount_predictions_loss: 0.3828 9/1102 [..............................] - ETA: 5:31 - loss: 272.6241 - logits_profile_predictions_loss: 268.5680 - logcount_predictions_loss: 0.3826 10/1102 [..............................] - ETA: 5:31 - loss: 272.3209 - logits_profile_predictions_loss: 268.2553 - logcount_predictions_loss: 0.3835 11/1102 [..............................] - ETA: 5:31 - loss: 272.4029 - logits_profile_predictions_loss: 268.3352 - logcount_predictions_loss: 0.3837 12/1102 [..............................] - ETA: 5:31 - loss: 272.2777 - logits_profile_predictions_loss: 268.2035 - logcount_predictions_loss: 0.3844 13/1102 [..............................] - ETA: 5:30 - loss: 271.9910 - logits_profile_predictions_loss: 267.9094 - logcount_predictions_loss: 0.3851 14/1102 [..............................] - ETA: 5:30 - loss: 271.8032 - logits_profile_predictions_loss: 267.7088 - logcount_predictions_loss: 0.3863 15/1102 [..............................] - ETA: 5:30 - loss: 271.6116 - logits_profile_predictions_loss: 267.5074 - logcount_predictions_loss: 0.3872 16/1102 [..............................] - ETA: 5:29 - loss: 271.5267 - logits_profile_predictions_loss: 267.4113 - logcount_predictions_loss: 0.3882 17/1102 [..............................] - ETA: 5:29 - loss: 271.4144 - logits_profile_predictions_loss: 267.2907 - logcount_predictions_loss: 0.3890 18/1102 [..............................] - ETA: 5:29 - loss: 271.3875 - logits_profile_predictions_loss: 267.2534 - logcount_predictions_loss: 0.3900 19/1102 [..............................] - ETA: 5:28 - loss: 271.3367 - logits_profile_predictions_loss: 267.1948 - logcount_predictions_loss: 0.3907 20/1102 [..............................] - ETA: 5:28 - loss: 271.3103 - logits_profile_predictions_loss: 267.1653 - logcount_predictions_loss: 0.3910 21/1102 [..............................] - ETA: 5:28 - loss: 271.2642 - logits_profile_predictions_loss: 267.1164 - logcount_predictions_loss: 0.3913 22/1102 [..............................] - ETA: 5:28 - loss: 271.2867 - logits_profile_predictions_loss: 267.1354 - logcount_predictions_loss: 0.3916 23/1102 [..............................] - ETA: 5:27 - loss: 271.2957 - logits_profile_predictions_loss: 267.1420 - logcount_predictions_loss: 0.3919 24/1102 [..............................] - ETA: 5:27 - loss: 271.3091 - logits_profile_predictions_loss: 267.1542 - logcount_predictions_loss: 0.3920 25/1102 [..............................] - ETA: 5:27 - loss: 271.3446 - logits_profile_predictions_loss: 267.1891 - logcount_predictions_loss: 0.3920 26/1102 [..............................] - ETA: 5:26 - loss: 271.3915 - logits_profile_predictions_loss: 267.2355 - logcount_predictions_loss: 0.3921 27/1102 [..............................] - ETA: 5:26 - loss: 271.4316 - logits_profile_predictions_loss: 267.2761 - logcount_predictions_loss: 0.3920 28/1102 [..............................] - ETA: 5:26 - loss: 271.4500 - logits_profile_predictions_loss: 267.2958 - logcount_predictions_loss: 0.3919 29/1102 [..............................] - ETA: 5:26 - loss: 271.4345 - logits_profile_predictions_loss: 267.2828 - logcount_predictions_loss: 0.3917 30/1102 [..............................] - ETA: 5:25 - loss: 271.4345 - logits_profile_predictions_loss: 267.2841 - logcount_predictions_loss: 0.3915 31/1102 [..............................] - ETA: 5:25 - loss: 271.4612 - logits_profile_predictions_loss: 267.3125 - logcount_predictions_loss: 0.3914 32/1102 [..............................] - ETA: 5:25 - loss: 271.4831 - logits_profile_predictions_loss: 267.3360 - logcount_predictions_loss: 0.3912 33/1102 [..............................] - ETA: 5:24 - loss: 271.4774 - logits_profile_predictions_loss: 267.3316 - logcount_predictions_loss: 0.3911 34/1102 [..............................] - ETA: 5:24 - loss: 271.4939 - logits_profile_predictions_loss: 267.3498 - logcount_predictions_loss: 0.3909 35/1102 [..............................] - ETA: 5:24 - loss: 271.4926 - logits_profile_predictions_loss: 267.3507 - logcount_predictions_loss: 0.3907 36/1102 [..............................] - ETA: 5:23 - loss: 271.4844 - logits_profile_predictions_loss: 267.3438 - logcount_predictions_loss: 0.3906 37/1102 [>.............................] - ETA: 5:23 - loss: 271.4802 - logits_profile_predictions_loss: 267.3409 - logcount_predictions_loss: 0.3905 38/1102 [>.............................] - ETA: 5:23 - loss: 271.4782 - logits_profile_predictions_loss: 267.3403 - logcount_predictions_loss: 0.3904 39/1102 [>.............................] - ETA: 5:23 - loss: 271.5018 - logits_profile_predictions_loss: 267.3660 - logcount_predictions_loss: 0.3902 40/1102 [>.............................] - ETA: 5:22 - loss: 271.5236 - logits_profile_predictions_loss: 267.3900 - logcount_predictions_loss: 0.3900 41/1102 [>.............................] - ETA: 5:22 - loss: 271.5391 - logits_profile_predictions_loss: 267.4069 - logcount_predictions_loss: 0.3898 42/1102 [>.............................] - ETA: 5:22 - loss: 271.5433 - logits_profile_predictions_loss: 267.4125 - logcount_predictions_loss: 0.3897 43/1102 [>.............................] - ETA: 5:21 - loss: 271.5389 - logits_profile_predictions_loss: 267.4090 - logcount_predictions_loss: 0.3896 44/1102 [>.............................] - ETA: 5:21 - loss: 271.5282 - logits_profile_predictions_loss: 267.3989 - logcount_predictions_loss: 0.3896 45/1102 [>.............................] - ETA: 5:21 - loss: 271.5084 - logits_profile_predictions_loss: 267.3795 - logcount_predictions_loss: 0.3895 46/1102 [>.............................] - ETA: 5:20 - loss: 271.5008 - logits_profile_predictions_loss: 267.3722 - logcount_predictions_loss: 0.3895 47/1102 [>.............................] - ETA: 5:20 - loss: 271.4932 - logits_profile_predictions_loss: 267.3650 - logcount_predictions_loss: 0.3894 48/1102 [>.............................] - ETA: 5:20 - loss: 271.4829 - logits_profile_predictions_loss: 267.3548 - logcount_predictions_loss: 0.3894 49/1102 [>.............................] - ETA: 5:20 - loss: 271.4652 - logits_profile_predictions_loss: 267.3373 - logcount_predictions_loss: 0.3894 50/1102 [>.............................] - ETA: 5:19 - loss: 271.4612 - logits_profile_predictions_loss: 267.3334 - logcount_predictions_loss: 0.3894 51/1102 [>.............................] - ETA: 5:19 - loss: 271.4652 - logits_profile_predictions_loss: 267.3373 - logcount_predictions_loss: 0.3894 52/1102 [>.............................] - ETA: 5:19 - loss: 271.4685 - logits_profile_predictions_loss: 267.3405 - logcount_predictions_loss: 0.3894 53/1102 [>.............................] - ETA: 5:18 - loss: 271.4704 - logits_profile_predictions_loss: 267.3424 - logcount_predictions_loss: 0.3894 54/1102 [>.............................] - ETA: 5:18 - loss: 271.4609 - logits_profile_predictions_loss: 267.3332 - logcount_predictions_loss: 0.3894 55/1102 [>.............................] - ETA: 5:18 - loss: 271.4401 - logits_profile_predictions_loss: 267.3127 - logcount_predictions_loss: 0.3894 56/1102 [>.............................] - ETA: 5:17 - 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63/1102 [>.............................] - ETA: 5:15 - loss: 271.3187 - logits_profile_predictions_loss: 267.1934 - logcount_predictions_loss: 0.3892 64/1102 [>.............................] - ETA: 5:15 - loss: 271.3051 - logits_profile_predictions_loss: 267.1799 - logcount_predictions_loss: 0.3892 65/1102 [>.............................] - ETA: 5:15 - loss: 271.2968 - logits_profile_predictions_loss: 267.1716 - logcount_predictions_loss: 0.3892 66/1102 [>.............................] - ETA: 5:14 - loss: 271.2882 - logits_profile_predictions_loss: 267.1632 - logcount_predictions_loss: 0.3892 67/1102 [>.............................] - ETA: 5:14 - loss: 271.2777 - logits_profile_predictions_loss: 267.1528 - logcount_predictions_loss: 0.3891 68/1102 [>.............................] - ETA: 5:14 - loss: 271.2671 - logits_profile_predictions_loss: 267.1419 - logcount_predictions_loss: 0.3892 69/1102 [>.............................] - ETA: 5:13 - loss: 271.2559 - 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[=>............................] - ETA: 5:11 - loss: 271.1670 - logits_profile_predictions_loss: 267.0386 - logcount_predictions_loss: 0.3895 77/1102 [=>............................] - ETA: 5:11 - loss: 271.1532 - logits_profile_predictions_loss: 267.0245 - logcount_predictions_loss: 0.3895 78/1102 [=>............................] - ETA: 5:11 - loss: 271.1396 - logits_profile_predictions_loss: 267.0106 - logcount_predictions_loss: 0.3895 79/1102 [=>............................] - ETA: 5:10 - loss: 271.1278 - logits_profile_predictions_loss: 266.9984 - logcount_predictions_loss: 0.3896 80/1102 [=>............................] - ETA: 5:10 - loss: 271.1152 - logits_profile_predictions_loss: 266.9853 - logcount_predictions_loss: 0.3896 81/1102 [=>............................] - ETA: 5:10 - loss: 271.0997 - logits_profile_predictions_loss: 266.9693 - logcount_predictions_loss: 0.3897 82/1102 [=>............................] - ETA: 5:10 - loss: 271.0851 - logits_profile_predictions_loss: 266.9542 - logcount_predictions_loss: 0.3897 83/1102 [=>............................] - ETA: 5:09 - loss: 271.0717 - logits_profile_predictions_loss: 266.9404 - logcount_predictions_loss: 0.3897 84/1102 [=>............................] - ETA: 5:09 - loss: 271.0566 - logits_profile_predictions_loss: 266.9249 - logcount_predictions_loss: 0.3898 85/1102 [=>............................] - ETA: 5:09 - loss: 271.0383 - logits_profile_predictions_loss: 266.9062 - logcount_predictions_loss: 0.3898 86/1102 [=>............................] - ETA: 5:08 - loss: 271.0191 - logits_profile_predictions_loss: 266.8866 - logcount_predictions_loss: 0.3899 87/1102 [=>............................] - ETA: 5:08 - loss: 271.0016 - logits_profile_predictions_loss: 266.8687 - logcount_predictions_loss: 0.3899 88/1102 [=>............................] - ETA: 5:08 - loss: 270.9849 - logits_profile_predictions_loss: 266.8515 - logcount_predictions_loss: 0.3899 89/1102 [=>............................] - ETA: 5:07 - 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[=>............................] - ETA: 5:01 - loss: 270.7368 - logits_profile_predictions_loss: 266.5990 - logcount_predictions_loss: 0.3904 110/1102 [=>............................] - ETA: 5:01 - loss: 270.7329 - logits_profile_predictions_loss: 266.5949 - logcount_predictions_loss: 0.3904 111/1102 [==>...........................] - ETA: 5:01 - loss: 270.7311 - logits_profile_predictions_loss: 266.5929 - logcount_predictions_loss: 0.3904 112/1102 [==>...........................] - ETA: 5:01 - loss: 270.7300 - logits_profile_predictions_loss: 266.5916 - logcount_predictions_loss: 0.3904 113/1102 [==>...........................] - ETA: 5:00 - loss: 270.7270 - logits_profile_predictions_loss: 266.5886 - logcount_predictions_loss: 0.3904 114/1102 [==>...........................] - ETA: 5:00 - loss: 270.7251 - logits_profile_predictions_loss: 266.5866 - logcount_predictions_loss: 0.3904 115/1102 [==>...........................] - ETA: 5:00 - loss: 270.7220 - 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[==>...........................] - ETA: 4:57 - loss: 270.6829 - logits_profile_predictions_loss: 266.5444 - logcount_predictions_loss: 0.3904 123/1102 [==>...........................] - ETA: 4:57 - loss: 270.6751 - logits_profile_predictions_loss: 266.5366 - logcount_predictions_loss: 0.3904 124/1102 [==>...........................] - ETA: 4:57 - loss: 270.6692 - logits_profile_predictions_loss: 266.5307 - logcount_predictions_loss: 0.3904 125/1102 [==>...........................] - ETA: 4:57 - loss: 270.6642 - logits_profile_predictions_loss: 266.5258 - logcount_predictions_loss: 0.3904 126/1102 [==>...........................] - ETA: 4:56 - loss: 270.6600 - logits_profile_predictions_loss: 266.5217 - logcount_predictions_loss: 0.3904 127/1102 [==>...........................] - ETA: 4:56 - loss: 270.6571 - logits_profile_predictions_loss: 266.5189 - logcount_predictions_loss: 0.3904 128/1102 [==>...........................] - ETA: 4:56 - loss: 270.6543 - 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[==>...........................] - ETA: 4:54 - loss: 270.6404 - logits_profile_predictions_loss: 266.5015 - logcount_predictions_loss: 0.3905 136/1102 [==>...........................] - ETA: 4:53 - loss: 270.6383 - logits_profile_predictions_loss: 266.4991 - logcount_predictions_loss: 0.3905 137/1102 [==>...........................] - ETA: 4:53 - loss: 270.6374 - logits_profile_predictions_loss: 266.4978 - logcount_predictions_loss: 0.3905 138/1102 [==>...........................] - ETA: 4:53 - loss: 270.6357 - logits_profile_predictions_loss: 266.4958 - logcount_predictions_loss: 0.3906 139/1102 [==>...........................] - ETA: 4:52 - loss: 270.6356 - logits_profile_predictions_loss: 266.4953 - logcount_predictions_loss: 0.3906 140/1102 [==>...........................] - ETA: 4:52 - loss: 270.6352 - logits_profile_predictions_loss: 266.4945 - logcount_predictions_loss: 0.3906 141/1102 [==>...........................] - ETA: 4:52 - loss: 270.6351 - logits_profile_predictions_loss: 266.4941 - logcount_predictions_loss: 0.3907 142/1102 [==>...........................] - ETA: 4:51 - loss: 270.6335 - logits_profile_predictions_loss: 266.4921 - logcount_predictions_loss: 0.3907 143/1102 [==>...........................] - ETA: 4:51 - loss: 270.6313 - logits_profile_predictions_loss: 266.4896 - logcount_predictions_loss: 0.3907 144/1102 [==>...........................] - ETA: 4:51 - loss: 270.6298 - logits_profile_predictions_loss: 266.4877 - logcount_predictions_loss: 0.3908 145/1102 [==>...........................] - ETA: 4:50 - loss: 270.6279 - logits_profile_predictions_loss: 266.4855 - logcount_predictions_loss: 0.3908 146/1102 [==>...........................] - ETA: 4:50 - loss: 270.6261 - logits_profile_predictions_loss: 266.4835 - logcount_predictions_loss: 0.3908 147/1102 [===>..........................] - ETA: 4:50 - loss: 270.6249 - logits_profile_predictions_loss: 266.4819 - logcount_predictions_loss: 0.3908 148/1102 [===>..........................] - ETA: 4:50 - loss: 270.6229 - logits_profile_predictions_loss: 266.4796 - logcount_predictions_loss: 0.3909 149/1102 [===>..........................] - ETA: 4:49 - loss: 270.6198 - logits_profile_predictions_loss: 266.4762 - logcount_predictions_loss: 0.3909 150/1102 [===>..........................] - ETA: 4:49 - loss: 270.6180 - logits_profile_predictions_loss: 266.4741 - logcount_predictions_loss: 0.3909 151/1102 [===>..........................] - ETA: 4:49 - loss: 270.6162 - logits_profile_predictions_loss: 266.4720 - logcount_predictions_loss: 0.3910 152/1102 [===>..........................] - ETA: 4:48 - loss: 270.6154 - logits_profile_predictions_loss: 266.4710 - logcount_predictions_loss: 0.3910 153/1102 [===>..........................] - ETA: 4:48 - loss: 270.6146 - logits_profile_predictions_loss: 266.4700 - logcount_predictions_loss: 0.3910 154/1102 [===>..........................] - ETA: 4:48 - loss: 270.6145 - 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[===>..........................] - ETA: 4:46 - loss: 270.6145 - logits_profile_predictions_loss: 266.4688 - logcount_predictions_loss: 0.3911 162/1102 [===>..........................] - ETA: 4:45 - loss: 270.6151 - logits_profile_predictions_loss: 266.4693 - logcount_predictions_loss: 0.3911 163/1102 [===>..........................] - ETA: 4:45 - loss: 270.6170 - logits_profile_predictions_loss: 266.4710 - logcount_predictions_loss: 0.3911 164/1102 [===>..........................] - ETA: 4:45 - loss: 270.6176 - logits_profile_predictions_loss: 266.4715 - logcount_predictions_loss: 0.3911 165/1102 [===>..........................] - ETA: 4:44 - loss: 270.6179 - logits_profile_predictions_loss: 266.4716 - logcount_predictions_loss: 0.3912 166/1102 [===>..........................] - ETA: 4:44 - loss: 270.6174 - logits_profile_predictions_loss: 266.4709 - logcount_predictions_loss: 0.3912 167/1102 [===>..........................] - ETA: 4:44 - loss: 270.6178 - logits_profile_predictions_loss: 266.4711 - logcount_predictions_loss: 0.3912 168/1102 [===>..........................] - ETA: 4:44 - loss: 270.6191 - logits_profile_predictions_loss: 266.4721 - logcount_predictions_loss: 0.3912 169/1102 [===>..........................] - ETA: 4:43 - loss: 270.6198 - logits_profile_predictions_loss: 266.4725 - logcount_predictions_loss: 0.3913 170/1102 [===>..........................] - ETA: 4:43 - loss: 270.6206 - logits_profile_predictions_loss: 266.4730 - logcount_predictions_loss: 0.3913 171/1102 [===>..........................] - ETA: 4:43 - loss: 270.6221 - logits_profile_predictions_loss: 266.4741 - logcount_predictions_loss: 0.3913 172/1102 [===>..........................] - ETA: 4:42 - loss: 270.6238 - logits_profile_predictions_loss: 266.4756 - logcount_predictions_loss: 0.3913 173/1102 [===>..........................] - ETA: 4:42 - loss: 270.6257 - logits_profile_predictions_loss: 266.4772 - logcount_predictions_loss: 0.3914 174/1102 [===>..........................] - ETA: 4:42 - loss: 270.6276 - logits_profile_predictions_loss: 266.4788 - logcount_predictions_loss: 0.3914 175/1102 [===>..........................] - ETA: 4:41 - loss: 270.6298 - logits_profile_predictions_loss: 266.4808 - logcount_predictions_loss: 0.3914 176/1102 [===>..........................] - ETA: 4:41 - loss: 270.6321 - logits_profile_predictions_loss: 266.4828 - logcount_predictions_loss: 0.3914 177/1102 [===>..........................] - ETA: 4:41 - loss: 270.6348 - logits_profile_predictions_loss: 266.4853 - logcount_predictions_loss: 0.3915 178/1102 [===>..........................] - ETA: 4:40 - loss: 270.6363 - logits_profile_predictions_loss: 266.4866 - logcount_predictions_loss: 0.3915 179/1102 [===>..........................] - ETA: 4:40 - loss: 270.6375 - logits_profile_predictions_loss: 266.4875 - logcount_predictions_loss: 0.3915 180/1102 [===>..........................] - ETA: 4:40 - loss: 270.6386 - 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[====>.........................] - ETA: 4:38 - loss: 270.6428 - logits_profile_predictions_loss: 266.4911 - logcount_predictions_loss: 0.3917 188/1102 [====>.........................] - ETA: 4:37 - loss: 270.6435 - logits_profile_predictions_loss: 266.4917 - logcount_predictions_loss: 0.3917 189/1102 [====>.........................] - ETA: 4:37 - loss: 270.6439 - logits_profile_predictions_loss: 266.4920 - logcount_predictions_loss: 0.3917 190/1102 [====>.........................] - ETA: 4:37 - loss: 270.6446 - logits_profile_predictions_loss: 266.4926 - logcount_predictions_loss: 0.3917 191/1102 [====>.........................] - ETA: 4:37 - loss: 270.6455 - logits_profile_predictions_loss: 266.4934 - logcount_predictions_loss: 0.3917 192/1102 [====>.........................] - ETA: 4:36 - loss: 270.6466 - logits_profile_predictions_loss: 266.4943 - logcount_predictions_loss: 0.3917 193/1102 [====>.........................] - ETA: 4:36 - loss: 270.6484 - 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[====>.........................] - ETA: 4:34 - loss: 270.6717 - logits_profile_predictions_loss: 266.5182 - logcount_predictions_loss: 0.3918 201/1102 [====>.........................] - ETA: 4:34 - loss: 270.6751 - logits_profile_predictions_loss: 266.5215 - logcount_predictions_loss: 0.3919 202/1102 [====>.........................] - ETA: 4:33 - loss: 270.6786 - logits_profile_predictions_loss: 266.5248 - logcount_predictions_loss: 0.3919 203/1102 [====>.........................] - ETA: 4:33 - loss: 270.6820 - logits_profile_predictions_loss: 266.5281 - logcount_predictions_loss: 0.3919 204/1102 [====>.........................] - ETA: 4:33 - loss: 270.6862 - logits_profile_predictions_loss: 266.5322 - logcount_predictions_loss: 0.3919 205/1102 [====>.........................] - ETA: 4:32 - loss: 270.6899 - logits_profile_predictions_loss: 266.5358 - logcount_predictions_loss: 0.3919 206/1102 [====>.........................] - ETA: 4:32 - loss: 270.6933 - 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[====>.........................] - ETA: 4:30 - loss: 270.7105 - logits_profile_predictions_loss: 266.5555 - logcount_predictions_loss: 0.3920 214/1102 [====>.........................] - ETA: 4:30 - loss: 270.7134 - logits_profile_predictions_loss: 266.5583 - logcount_predictions_loss: 0.3920 215/1102 [====>.........................] - ETA: 4:29 - loss: 270.7156 - logits_profile_predictions_loss: 266.5605 - logcount_predictions_loss: 0.3920 216/1102 [====>.........................] - ETA: 4:29 - loss: 270.7176 - logits_profile_predictions_loss: 266.5624 - logcount_predictions_loss: 0.3920 217/1102 [====>.........................] - ETA: 4:29 - loss: 270.7192 - logits_profile_predictions_loss: 266.5640 - logcount_predictions_loss: 0.3920 218/1102 [====>.........................] - ETA: 4:28 - loss: 270.7208 - logits_profile_predictions_loss: 266.5656 - logcount_predictions_loss: 0.3920 219/1102 [====>.........................] - ETA: 4:28 - loss: 270.7221 - 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[=====>........................] - ETA: 4:26 - loss: 270.7299 - logits_profile_predictions_loss: 266.5746 - logcount_predictions_loss: 0.3920 227/1102 [=====>........................] - ETA: 4:26 - loss: 270.7306 - logits_profile_predictions_loss: 266.5752 - logcount_predictions_loss: 0.3920 228/1102 [=====>........................] - ETA: 4:25 - loss: 270.7308 - logits_profile_predictions_loss: 266.5755 - logcount_predictions_loss: 0.3920 229/1102 [=====>........................] - ETA: 4:25 - loss: 270.7316 - logits_profile_predictions_loss: 266.5763 - logcount_predictions_loss: 0.3920 230/1102 [=====>........................] - ETA: 4:25 - loss: 270.7328 - logits_profile_predictions_loss: 266.5774 - logcount_predictions_loss: 0.3920 231/1102 [=====>........................] - ETA: 4:24 - loss: 270.7337 - logits_profile_predictions_loss: 266.5783 - logcount_predictions_loss: 0.3920 232/1102 [=====>........................] - ETA: 4:24 - loss: 270.7347 - 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[=====>........................] - ETA: 4:22 - loss: 270.7412 - logits_profile_predictions_loss: 266.5862 - logcount_predictions_loss: 0.3920 240/1102 [=====>........................] - ETA: 4:22 - loss: 270.7420 - logits_profile_predictions_loss: 266.5871 - logcount_predictions_loss: 0.3920 241/1102 [=====>........................] - ETA: 4:21 - loss: 270.7430 - logits_profile_predictions_loss: 266.5882 - logcount_predictions_loss: 0.3920 242/1102 [=====>........................] - ETA: 4:21 - loss: 270.7438 - logits_profile_predictions_loss: 266.5891 - logcount_predictions_loss: 0.3919 243/1102 [=====>........................] - ETA: 4:21 - loss: 270.7450 - logits_profile_predictions_loss: 266.5904 - logcount_predictions_loss: 0.3919 244/1102 [=====>........................] - ETA: 4:20 - loss: 270.7459 - logits_profile_predictions_loss: 266.5915 - logcount_predictions_loss: 0.3919 245/1102 [=====>........................] - ETA: 4:20 - loss: 270.7465 - 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[=====>........................] - ETA: 4:18 - loss: 270.7455 - logits_profile_predictions_loss: 266.5924 - logcount_predictions_loss: 0.3918 253/1102 [=====>........................] - ETA: 4:18 - loss: 270.7449 - logits_profile_predictions_loss: 266.5918 - logcount_predictions_loss: 0.3918 254/1102 [=====>........................] - ETA: 4:17 - loss: 270.7440 - logits_profile_predictions_loss: 266.5912 - logcount_predictions_loss: 0.3918 255/1102 [=====>........................] - ETA: 4:17 - loss: 270.7433 - logits_profile_predictions_loss: 266.5907 - logcount_predictions_loss: 0.3918 256/1102 [=====>........................] - ETA: 4:17 - loss: 270.7427 - logits_profile_predictions_loss: 266.5902 - logcount_predictions_loss: 0.3917 257/1102 [=====>........................] - ETA: 4:17 - loss: 270.7417 - logits_profile_predictions_loss: 266.5894 - logcount_predictions_loss: 0.3917 258/1102 [======>.......................] - ETA: 4:16 - loss: 270.7403 - 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[============================>.] - ETA: 0s - loss: 269.8736 - logits_profile_predictions_loss: 265.9085 - logcount_predictions_loss: 0.3741 1100/1102 [============================>.] - ETA: 0s - loss: 269.8730 - logits_profile_predictions_loss: 265.9081 - logcount_predictions_loss: 0.3741 1101/1102 [============================>.] - ETA: 0s - loss: 269.8724 - logits_profile_predictions_loss: 265.9076 - logcount_predictions_loss: 0.3740 1102/1102 [==============================] - ETA: 0s - loss: 269.8718 - logits_profile_predictions_loss: 265.9071 - logcount_predictions_loss: 0.3740 1102/1102 [==============================] - 348s 316ms/step - loss: 269.8712 - logits_profile_predictions_loss: 265.9067 - logcount_predictions_loss: 0.3740 - val_loss: 275.9939 - val_logits_profile_predictions_loss: 272.2177 - val_logcount_predictions_loss: 0.3562 + +Epoch 00003: val_loss improved from 276.27896 to 275.99387, saving model to 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logits_profile_predictions_loss: 266.8806 - logcount_predictions_loss: 0.3598 152/1102 [===>..........................] - ETA: 4:48 - loss: 270.6883 - logits_profile_predictions_loss: 266.8755 - logcount_predictions_loss: 0.3597 153/1102 [===>..........................] - ETA: 4:48 - loss: 270.6832 - logits_profile_predictions_loss: 266.8709 - logcount_predictions_loss: 0.3597 154/1102 [===>..........................] - ETA: 4:48 - loss: 270.6789 - logits_profile_predictions_loss: 266.8670 - logcount_predictions_loss: 0.3596 155/1102 [===>..........................] - ETA: 4:47 - loss: 270.6744 - logits_profile_predictions_loss: 266.8631 - logcount_predictions_loss: 0.3596 156/1102 [===>..........................] - ETA: 4:47 - loss: 270.6693 - logits_profile_predictions_loss: 266.8585 - logcount_predictions_loss: 0.3595 157/1102 [===>..........................] - ETA: 4:47 - loss: 270.6641 - logits_profile_predictions_loss: 266.8538 - logcount_predictions_loss: 0.3595 158/1102 [===>..........................] - ETA: 4:46 - loss: 270.6587 - logits_profile_predictions_loss: 266.8490 - logcount_predictions_loss: 0.3594 159/1102 [===>..........................] - ETA: 4:46 - loss: 270.6533 - logits_profile_predictions_loss: 266.8442 - logcount_predictions_loss: 0.3594 160/1102 [===>..........................] - ETA: 4:46 - loss: 270.6480 - logits_profile_predictions_loss: 266.8394 - logcount_predictions_loss: 0.3593 161/1102 [===>..........................] - ETA: 4:45 - loss: 270.6425 - logits_profile_predictions_loss: 266.8344 - logcount_predictions_loss: 0.3593 162/1102 [===>..........................] - ETA: 4:45 - loss: 270.6366 - logits_profile_predictions_loss: 266.8291 - logcount_predictions_loss: 0.3592 163/1102 [===>..........................] - ETA: 4:45 - loss: 270.6298 - logits_profile_predictions_loss: 266.8229 - logcount_predictions_loss: 0.3591 164/1102 [===>..........................] - ETA: 4:45 - loss: 270.6231 - logits_profile_predictions_loss: 266.8166 - logcount_predictions_loss: 0.3591 165/1102 [===>..........................] - ETA: 4:44 - loss: 270.6167 - logits_profile_predictions_loss: 266.8108 - logcount_predictions_loss: 0.3590 166/1102 [===>..........................] - ETA: 4:44 - loss: 270.6105 - logits_profile_predictions_loss: 266.8052 - logcount_predictions_loss: 0.3590 167/1102 [===>..........................] - ETA: 4:44 - loss: 270.6048 - logits_profile_predictions_loss: 266.8000 - logcount_predictions_loss: 0.3589 168/1102 [===>..........................] - ETA: 4:43 - loss: 270.5993 - logits_profile_predictions_loss: 266.7951 - logcount_predictions_loss: 0.3589 169/1102 [===>..........................] - ETA: 4:43 - loss: 270.5936 - logits_profile_predictions_loss: 266.7900 - logcount_predictions_loss: 0.3588 170/1102 [===>..........................] - ETA: 4:43 - loss: 270.5872 - logits_profile_predictions_loss: 266.7841 - logcount_predictions_loss: 0.3588 171/1102 [===>..........................] - ETA: 4:42 - loss: 270.5811 - logits_profile_predictions_loss: 266.7786 - logcount_predictions_loss: 0.3587 172/1102 [===>..........................] - ETA: 4:42 - loss: 270.5747 - logits_profile_predictions_loss: 266.7727 - logcount_predictions_loss: 0.3587 173/1102 [===>..........................] - ETA: 4:42 - loss: 270.5686 - logits_profile_predictions_loss: 266.7672 - logcount_predictions_loss: 0.3586 174/1102 [===>..........................] - ETA: 4:42 - loss: 270.5622 - logits_profile_predictions_loss: 266.7612 - logcount_predictions_loss: 0.3586 175/1102 [===>..........................] - ETA: 4:41 - loss: 270.5558 - logits_profile_predictions_loss: 266.7553 - logcount_predictions_loss: 0.3585 176/1102 [===>..........................] - ETA: 4:41 - loss: 270.5495 - logits_profile_predictions_loss: 266.7496 - logcount_predictions_loss: 0.3585 177/1102 [===>..........................] - ETA: 4:41 - loss: 270.5424 - logits_profile_predictions_loss: 266.7430 - logcount_predictions_loss: 0.3584 178/1102 [===>..........................] - ETA: 4:40 - loss: 270.5359 - logits_profile_predictions_loss: 266.7371 - logcount_predictions_loss: 0.3584 179/1102 [===>..........................] - ETA: 4:40 - loss: 270.5280 - logits_profile_predictions_loss: 266.7297 - logcount_predictions_loss: 0.3583 180/1102 [===>..........................] - ETA: 4:40 - loss: 270.5207 - logits_profile_predictions_loss: 266.7229 - logcount_predictions_loss: 0.3583 181/1102 [===>..........................] - ETA: 4:39 - loss: 270.5132 - logits_profile_predictions_loss: 266.7160 - logcount_predictions_loss: 0.3582 182/1102 [===>..........................] - ETA: 4:39 - loss: 270.5058 - logits_profile_predictions_loss: 266.7091 - logcount_predictions_loss: 0.3582 183/1102 [===>..........................] - ETA: 4:39 - loss: 270.4991 - logits_profile_predictions_loss: 266.7028 - logcount_predictions_loss: 0.3581 184/1102 [====>.........................] - ETA: 4:39 - loss: 270.4921 - logits_profile_predictions_loss: 266.6963 - logcount_predictions_loss: 0.3581 185/1102 [====>.........................] - ETA: 4:38 - loss: 270.4850 - logits_profile_predictions_loss: 266.6897 - logcount_predictions_loss: 0.3580 186/1102 [====>.........................] - ETA: 4:38 - loss: 270.4784 - logits_profile_predictions_loss: 266.6836 - logcount_predictions_loss: 0.3580 187/1102 [====>.........................] - ETA: 4:38 - loss: 270.4716 - logits_profile_predictions_loss: 266.6772 - logcount_predictions_loss: 0.3580 188/1102 [====>.........................] - ETA: 4:37 - loss: 270.4650 - logits_profile_predictions_loss: 266.6711 - logcount_predictions_loss: 0.3579 189/1102 [====>.........................] - ETA: 4:37 - loss: 270.4582 - logits_profile_predictions_loss: 266.6648 - logcount_predictions_loss: 0.3579 190/1102 [====>.........................] - ETA: 4:37 - loss: 270.4518 - logits_profile_predictions_loss: 266.6589 - logcount_predictions_loss: 0.3578 191/1102 [====>.........................] - ETA: 4:36 - loss: 270.4453 - logits_profile_predictions_loss: 266.6529 - logcount_predictions_loss: 0.3578 192/1102 [====>.........................] - ETA: 4:36 - loss: 270.4389 - logits_profile_predictions_loss: 266.6470 - logcount_predictions_loss: 0.3577 193/1102 [====>.........................] - ETA: 4:36 - loss: 270.4323 - logits_profile_predictions_loss: 266.6409 - logcount_predictions_loss: 0.3577 194/1102 [====>.........................] - ETA: 4:35 - loss: 270.4256 - logits_profile_predictions_loss: 266.6348 - logcount_predictions_loss: 0.3576 195/1102 [====>.........................] - ETA: 4:35 - loss: 270.4183 - logits_profile_predictions_loss: 266.6280 - logcount_predictions_loss: 0.3576 196/1102 [====>.........................] - ETA: 4:35 - loss: 270.4111 - logits_profile_predictions_loss: 266.6214 - logcount_predictions_loss: 0.3575 197/1102 [====>.........................] - ETA: 4:35 - loss: 270.4033 - logits_profile_predictions_loss: 266.6142 - logcount_predictions_loss: 0.3575 198/1102 [====>.........................] - ETA: 4:34 - loss: 270.3951 - logits_profile_predictions_loss: 266.6065 - logcount_predictions_loss: 0.3574 199/1102 [====>.........................] - ETA: 4:34 - loss: 270.3866 - logits_profile_predictions_loss: 266.5986 - logcount_predictions_loss: 0.3574 200/1102 [====>.........................] - ETA: 4:34 - loss: 270.3782 - logits_profile_predictions_loss: 266.5906 - logcount_predictions_loss: 0.3573 201/1102 [====>.........................] - ETA: 4:33 - loss: 270.3703 - logits_profile_predictions_loss: 266.5833 - logcount_predictions_loss: 0.3573 202/1102 [====>.........................] - ETA: 4:33 - loss: 270.3628 - logits_profile_predictions_loss: 266.5764 - logcount_predictions_loss: 0.3572 203/1102 [====>.........................] - ETA: 4:33 - loss: 270.3554 - logits_profile_predictions_loss: 266.5695 - logcount_predictions_loss: 0.3572 204/1102 [====>.........................] - ETA: 4:32 - loss: 270.3479 - logits_profile_predictions_loss: 266.5626 - logcount_predictions_loss: 0.3571 205/1102 [====>.........................] - ETA: 4:32 - loss: 270.3397 - logits_profile_predictions_loss: 266.5549 - logcount_predictions_loss: 0.3571 206/1102 [====>.........................] - ETA: 4:32 - loss: 270.3314 - logits_profile_predictions_loss: 266.5471 - logcount_predictions_loss: 0.3570 207/1102 [====>.........................] - ETA: 4:32 - loss: 270.3223 - logits_profile_predictions_loss: 266.5385 - logcount_predictions_loss: 0.3570 208/1102 [====>.........................] - ETA: 4:31 - loss: 270.3133 - logits_profile_predictions_loss: 266.5300 - logcount_predictions_loss: 0.3569 209/1102 [====>.........................] - ETA: 4:31 - loss: 270.3045 - logits_profile_predictions_loss: 266.5217 - logcount_predictions_loss: 0.3569 210/1102 [====>.........................] - ETA: 4:31 - loss: 270.2960 - logits_profile_predictions_loss: 266.5137 - logcount_predictions_loss: 0.3568 211/1102 [====>.........................] - ETA: 4:30 - loss: 270.2876 - logits_profile_predictions_loss: 266.5058 - logcount_predictions_loss: 0.3568 212/1102 [====>.........................] - ETA: 4:30 - loss: 270.2792 - logits_profile_predictions_loss: 266.4979 - logcount_predictions_loss: 0.3567 213/1102 [====>.........................] - ETA: 4:30 - loss: 270.2706 - logits_profile_predictions_loss: 266.4898 - logcount_predictions_loss: 0.3567 214/1102 [====>.........................] - ETA: 4:29 - loss: 270.2619 - logits_profile_predictions_loss: 266.4815 - logcount_predictions_loss: 0.3566 215/1102 [====>.........................] - ETA: 4:29 - loss: 270.2525 - logits_profile_predictions_loss: 266.4727 - logcount_predictions_loss: 0.3566 216/1102 [====>.........................] - ETA: 4:29 - loss: 270.2437 - logits_profile_predictions_loss: 266.4644 - logcount_predictions_loss: 0.3565 217/1102 [====>.........................] - ETA: 4:28 - loss: 270.2345 - logits_profile_predictions_loss: 266.4557 - logcount_predictions_loss: 0.3565 218/1102 [====>.........................] - ETA: 4:28 - loss: 270.2247 - logits_profile_predictions_loss: 266.4464 - logcount_predictions_loss: 0.3564 219/1102 [====>.........................] - ETA: 4:28 - loss: 270.2154 - logits_profile_predictions_loss: 266.4376 - logcount_predictions_loss: 0.3564 220/1102 [====>.........................] - ETA: 4:28 - loss: 270.2061 - logits_profile_predictions_loss: 266.4288 - logcount_predictions_loss: 0.3563 221/1102 [=====>........................] - ETA: 4:27 - loss: 270.1969 - logits_profile_predictions_loss: 266.4201 - logcount_predictions_loss: 0.3563 222/1102 [=====>........................] - ETA: 4:27 - loss: 270.1873 - logits_profile_predictions_loss: 266.4111 - logcount_predictions_loss: 0.3562 223/1102 [=====>........................] - ETA: 4:27 - loss: 270.1781 - logits_profile_predictions_loss: 266.4024 - logcount_predictions_loss: 0.3562 224/1102 [=====>........................] - ETA: 4:26 - loss: 270.1686 - logits_profile_predictions_loss: 266.3935 - logcount_predictions_loss: 0.3561 225/1102 [=====>........................] - ETA: 4:26 - loss: 270.1596 - logits_profile_predictions_loss: 266.3850 - logcount_predictions_loss: 0.3561 226/1102 [=====>........................] - ETA: 4:26 - loss: 270.1507 - logits_profile_predictions_loss: 266.3767 - logcount_predictions_loss: 0.3560 227/1102 [=====>........................] - ETA: 4:25 - loss: 270.1416 - logits_profile_predictions_loss: 266.3681 - logcount_predictions_loss: 0.3560 228/1102 [=====>........................] - ETA: 4:25 - loss: 270.1325 - logits_profile_predictions_loss: 266.3595 - logcount_predictions_loss: 0.3559 229/1102 [=====>........................] - ETA: 4:25 - loss: 270.1234 - logits_profile_predictions_loss: 266.3509 - logcount_predictions_loss: 0.3559 230/1102 [=====>........................] - ETA: 4:25 - loss: 270.1144 - logits_profile_predictions_loss: 266.3426 - logcount_predictions_loss: 0.3558 231/1102 [=====>........................] - ETA: 4:24 - loss: 270.1055 - logits_profile_predictions_loss: 266.3342 - logcount_predictions_loss: 0.3558 232/1102 [=====>........................] - ETA: 4:24 - loss: 270.0972 - logits_profile_predictions_loss: 266.3265 - logcount_predictions_loss: 0.3557 233/1102 [=====>........................] - ETA: 4:24 - loss: 270.0891 - logits_profile_predictions_loss: 266.3189 - logcount_predictions_loss: 0.3557 234/1102 [=====>........................] - ETA: 4:23 - loss: 270.0808 - logits_profile_predictions_loss: 266.3113 - logcount_predictions_loss: 0.3556 235/1102 [=====>........................] - ETA: 4:23 - loss: 270.0728 - logits_profile_predictions_loss: 266.3038 - logcount_predictions_loss: 0.3556 236/1102 [=====>........................] - ETA: 4:23 - loss: 270.0644 - logits_profile_predictions_loss: 266.2960 - logcount_predictions_loss: 0.3555 237/1102 [=====>........................] - ETA: 4:22 - loss: 270.0560 - logits_profile_predictions_loss: 266.2882 - logcount_predictions_loss: 0.3555 238/1102 [=====>........................] - ETA: 4:22 - loss: 270.0484 - logits_profile_predictions_loss: 266.2812 - logcount_predictions_loss: 0.3554 239/1102 [=====>........................] - ETA: 4:22 - loss: 270.0411 - logits_profile_predictions_loss: 266.2744 - logcount_predictions_loss: 0.3553 240/1102 [=====>........................] - ETA: 4:21 - loss: 270.0341 - logits_profile_predictions_loss: 266.2680 - logcount_predictions_loss: 0.3553 241/1102 [=====>........................] - ETA: 4:21 - loss: 270.0273 - logits_profile_predictions_loss: 266.2618 - logcount_predictions_loss: 0.3552 242/1102 [=====>........................] - ETA: 4:21 - loss: 270.0205 - logits_profile_predictions_loss: 266.2555 - logcount_predictions_loss: 0.3552 243/1102 [=====>........................] - ETA: 4:21 - loss: 270.0138 - logits_profile_predictions_loss: 266.2494 - logcount_predictions_loss: 0.3551 244/1102 [=====>........................] - ETA: 4:20 - loss: 270.0070 - logits_profile_predictions_loss: 266.2432 - logcount_predictions_loss: 0.3551 245/1102 [=====>........................] - ETA: 4:20 - loss: 270.0000 - logits_profile_predictions_loss: 266.2367 - logcount_predictions_loss: 0.3550 246/1102 [=====>........................] - ETA: 4:20 - loss: 269.9933 - logits_profile_predictions_loss: 266.2306 - logcount_predictions_loss: 0.3550 247/1102 [=====>........................] - ETA: 4:19 - loss: 269.9864 - logits_profile_predictions_loss: 266.2242 - logcount_predictions_loss: 0.3549 248/1102 [=====>........................] - ETA: 4:19 - loss: 269.9798 - logits_profile_predictions_loss: 266.2181 - logcount_predictions_loss: 0.3549 249/1102 [=====>........................] - ETA: 4:19 - loss: 269.9730 - logits_profile_predictions_loss: 266.2120 - logcount_predictions_loss: 0.3548 250/1102 [=====>........................] - ETA: 4:18 - loss: 269.9662 - logits_profile_predictions_loss: 266.2056 - logcount_predictions_loss: 0.3548 251/1102 [=====>........................] - ETA: 4:18 - loss: 269.9594 - logits_profile_predictions_loss: 266.1995 - logcount_predictions_loss: 0.3547 252/1102 [=====>........................] - ETA: 4:18 - loss: 269.9532 - logits_profile_predictions_loss: 266.1938 - logcount_predictions_loss: 0.3547 253/1102 [=====>........................] - ETA: 4:18 - loss: 269.9468 - logits_profile_predictions_loss: 266.1878 - logcount_predictions_loss: 0.3546 254/1102 [=====>........................] - ETA: 4:17 - loss: 269.9402 - logits_profile_predictions_loss: 266.1817 - logcount_predictions_loss: 0.3546 255/1102 [=====>........................] - ETA: 4:17 - loss: 269.9338 - logits_profile_predictions_loss: 266.1759 - logcount_predictions_loss: 0.3545 256/1102 [=====>........................] - ETA: 4:17 - loss: 269.9281 - logits_profile_predictions_loss: 266.1707 - logcount_predictions_loss: 0.3545 257/1102 [=====>........................] - ETA: 4:16 - loss: 269.9223 - logits_profile_predictions_loss: 266.1654 - logcount_predictions_loss: 0.3544 258/1102 [======>.......................] - ETA: 4:16 - loss: 269.9164 - logits_profile_predictions_loss: 266.1599 - logcount_predictions_loss: 0.3544 259/1102 [======>.......................] - ETA: 4:16 - loss: 269.9106 - logits_profile_predictions_loss: 266.1546 - logcount_predictions_loss: 0.3543 260/1102 [======>.......................] - ETA: 4:15 - loss: 269.9048 - logits_profile_predictions_loss: 266.1493 - logcount_predictions_loss: 0.3543 261/1102 [======>.......................] - ETA: 4:15 - loss: 269.8990 - logits_profile_predictions_loss: 266.1439 - logcount_predictions_loss: 0.3543 262/1102 [======>.......................] - ETA: 4:15 - loss: 269.8929 - logits_profile_predictions_loss: 266.1383 - logcount_predictions_loss: 0.3542 263/1102 [======>.......................] - ETA: 4:15 - loss: 269.8870 - logits_profile_predictions_loss: 266.1329 - logcount_predictions_loss: 0.3542 264/1102 [======>.......................] - ETA: 4:14 - loss: 269.8811 - logits_profile_predictions_loss: 266.1274 - logcount_predictions_loss: 0.3541 265/1102 [======>.......................] - ETA: 4:14 - loss: 269.8760 - logits_profile_predictions_loss: 266.1227 - logcount_predictions_loss: 0.3541 266/1102 [======>.......................] - ETA: 4:14 - loss: 269.8709 - logits_profile_predictions_loss: 266.1180 - logcount_predictions_loss: 0.3540 267/1102 [======>.......................] - ETA: 4:13 - loss: 269.8656 - logits_profile_predictions_loss: 266.1131 - logcount_predictions_loss: 0.3540 268/1102 [======>.......................] - ETA: 4:13 - loss: 269.8603 - logits_profile_predictions_loss: 266.1083 - logcount_predictions_loss: 0.3540 269/1102 [======>.......................] - ETA: 4:13 - loss: 269.8552 - logits_profile_predictions_loss: 266.1036 - logcount_predictions_loss: 0.3539 270/1102 [======>.......................] - ETA: 4:12 - loss: 269.8505 - logits_profile_predictions_loss: 266.0994 - logcount_predictions_loss: 0.3539 271/1102 [======>.......................] - ETA: 4:12 - loss: 269.8460 - logits_profile_predictions_loss: 266.0953 - logcount_predictions_loss: 0.3538 272/1102 [======>.......................] - ETA: 4:12 - loss: 269.8415 - logits_profile_predictions_loss: 266.0911 - logcount_predictions_loss: 0.3538 273/1102 [======>.......................] - ETA: 4:12 - loss: 269.8374 - logits_profile_predictions_loss: 266.0875 - logcount_predictions_loss: 0.3538 274/1102 [======>.......................] - ETA: 4:11 - loss: 269.8337 - logits_profile_predictions_loss: 266.0841 - logcount_predictions_loss: 0.3537 275/1102 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logits_profile_predictions_loss: 264.8396 - logcount_predictions_loss: 0.3474 1102/1102 [==============================] - 347s 315ms/step - loss: 268.5214 - logits_profile_predictions_loss: 264.8390 - logcount_predictions_loss: 0.3474 - val_loss: 274.2979 - val_logits_profile_predictions_loss: 270.9269 - val_logcount_predictions_loss: 0.3180 + +Epoch 00004: val_loss improved from 275.99387 to 274.29785, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 5/50 + 1/1102 [..............................] - ETA: 5:44 - loss: 271.5931 - logits_profile_predictions_loss: 268.9412 - logcount_predictions_loss: 0.2502 2/1102 [..............................] - ETA: 5:33 - loss: 269.7275 - logits_profile_predictions_loss: 266.9797 - logcount_predictions_loss: 0.2592 3/1102 [..............................] - ETA: 5:32 - loss: 268.6057 - logits_profile_predictions_loss: 265.7692 - logcount_predictions_loss: 0.2676 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loss: 265.3240 - logits_profile_predictions_loss: 262.1134 - logcount_predictions_loss: 0.3029 18/1102 [..............................] - ETA: 5:29 - loss: 265.3147 - logits_profile_predictions_loss: 262.0973 - logcount_predictions_loss: 0.3035 19/1102 [..............................] - ETA: 5:28 - loss: 265.3624 - logits_profile_predictions_loss: 262.1398 - logcount_predictions_loss: 0.3040 20/1102 [..............................] - ETA: 5:28 - loss: 265.4191 - logits_profile_predictions_loss: 262.1919 - logcount_predictions_loss: 0.3045 21/1102 [..............................] - ETA: 5:28 - loss: 265.4643 - logits_profile_predictions_loss: 262.2329 - logcount_predictions_loss: 0.3049 22/1102 [..............................] - ETA: 5:27 - loss: 265.5008 - logits_profile_predictions_loss: 262.2648 - logcount_predictions_loss: 0.3053 23/1102 [..............................] - ETA: 5:27 - loss: 265.5506 - logits_profile_predictions_loss: 262.3118 - logcount_predictions_loss: 0.3055 24/1102 [..............................] - ETA: 5:27 - loss: 265.5423 - logits_profile_predictions_loss: 262.3009 - logcount_predictions_loss: 0.3058 25/1102 [..............................] - ETA: 5:27 - loss: 265.4927 - logits_profile_predictions_loss: 262.2493 - logcount_predictions_loss: 0.3060 26/1102 [..............................] - ETA: 5:26 - loss: 265.4674 - logits_profile_predictions_loss: 262.2217 - logcount_predictions_loss: 0.3062 27/1102 [..............................] - ETA: 5:26 - loss: 265.4257 - logits_profile_predictions_loss: 262.1789 - logcount_predictions_loss: 0.3063 28/1102 [..............................] - ETA: 5:26 - loss: 265.3966 - logits_profile_predictions_loss: 262.1470 - logcount_predictions_loss: 0.3066 29/1102 [..............................] - ETA: 5:25 - loss: 265.3590 - logits_profile_predictions_loss: 262.1058 - logcount_predictions_loss: 0.3069 30/1102 [..............................] - ETA: 5:25 - loss: 265.3453 - logits_profile_predictions_loss: 262.0882 - logcount_predictions_loss: 0.3073 31/1102 [..............................] - ETA: 5:25 - loss: 265.3154 - logits_profile_predictions_loss: 262.0550 - logcount_predictions_loss: 0.3076 32/1102 [..............................] - ETA: 5:24 - loss: 265.2895 - logits_profile_predictions_loss: 262.0264 - logcount_predictions_loss: 0.3078 33/1102 [..............................] - ETA: 5:24 - loss: 265.2569 - logits_profile_predictions_loss: 261.9909 - logcount_predictions_loss: 0.3081 34/1102 [..............................] - ETA: 5:24 - loss: 265.2000 - logits_profile_predictions_loss: 261.9307 - logcount_predictions_loss: 0.3084 35/1102 [..............................] - ETA: 5:24 - loss: 265.1347 - logits_profile_predictions_loss: 261.8626 - logcount_predictions_loss: 0.3087 36/1102 [..............................] - ETA: 5:23 - loss: 265.0860 - logits_profile_predictions_loss: 261.8107 - logcount_predictions_loss: 0.3090 37/1102 [>.............................] - ETA: 5:23 - loss: 265.0391 - logits_profile_predictions_loss: 261.7599 - logcount_predictions_loss: 0.3094 38/1102 [>.............................] - ETA: 5:23 - loss: 264.9816 - logits_profile_predictions_loss: 261.6986 - logcount_predictions_loss: 0.3097 39/1102 [>.............................] - ETA: 5:22 - loss: 264.9233 - logits_profile_predictions_loss: 261.6364 - logcount_predictions_loss: 0.3101 40/1102 [>.............................] - ETA: 5:22 - loss: 264.8564 - logits_profile_predictions_loss: 261.5655 - logcount_predictions_loss: 0.3105 41/1102 [>.............................] - ETA: 5:22 - loss: 264.7917 - logits_profile_predictions_loss: 261.4965 - logcount_predictions_loss: 0.3109 42/1102 [>.............................] - ETA: 5:21 - loss: 264.7251 - logits_profile_predictions_loss: 261.4259 - logcount_predictions_loss: 0.3112 43/1102 [>.............................] - ETA: 5:21 - loss: 264.6718 - logits_profile_predictions_loss: 261.3689 - logcount_predictions_loss: 0.3116 44/1102 [>.............................] - ETA: 5:21 - loss: 264.6142 - logits_profile_predictions_loss: 261.3080 - logcount_predictions_loss: 0.3119 45/1102 [>.............................] - ETA: 5:21 - loss: 264.5667 - logits_profile_predictions_loss: 261.2575 - logcount_predictions_loss: 0.3122 46/1102 [>.............................] - ETA: 5:20 - loss: 264.5296 - logits_profile_predictions_loss: 261.2171 - logcount_predictions_loss: 0.3125 47/1102 [>.............................] - ETA: 5:20 - loss: 264.4968 - logits_profile_predictions_loss: 261.1811 - logcount_predictions_loss: 0.3128 48/1102 [>.............................] - ETA: 5:20 - loss: 264.4767 - logits_profile_predictions_loss: 261.1577 - logcount_predictions_loss: 0.3131 49/1102 [>.............................] - ETA: 5:19 - loss: 264.4601 - logits_profile_predictions_loss: 261.1380 - logcount_predictions_loss: 0.3134 50/1102 [>.............................] - ETA: 5:19 - loss: 264.4402 - logits_profile_predictions_loss: 261.1147 - logcount_predictions_loss: 0.3137 51/1102 [>.............................] - ETA: 5:19 - loss: 264.4233 - logits_profile_predictions_loss: 261.0946 - logcount_predictions_loss: 0.3140 52/1102 [>.............................] - ETA: 5:19 - loss: 264.4154 - logits_profile_predictions_loss: 261.0838 - logcount_predictions_loss: 0.3143 53/1102 [>.............................] - ETA: 5:18 - loss: 264.4107 - logits_profile_predictions_loss: 261.0761 - logcount_predictions_loss: 0.3146 54/1102 [>.............................] - ETA: 5:18 - loss: 264.4069 - logits_profile_predictions_loss: 261.0695 - logcount_predictions_loss: 0.3148 55/1102 [>.............................] - ETA: 5:18 - loss: 264.4052 - logits_profile_predictions_loss: 261.0653 - logcount_predictions_loss: 0.3151 56/1102 [>.............................] - ETA: 5:17 - loss: 264.4032 - logits_profile_predictions_loss: 261.0610 - logcount_predictions_loss: 0.3153 57/1102 [>.............................] - ETA: 5:17 - loss: 264.4047 - logits_profile_predictions_loss: 261.0604 - logcount_predictions_loss: 0.3155 58/1102 [>.............................] - ETA: 5:17 - loss: 264.4027 - logits_profile_predictions_loss: 261.0563 - logcount_predictions_loss: 0.3157 59/1102 [>.............................] - ETA: 5:16 - loss: 264.4015 - logits_profile_predictions_loss: 261.0529 - logcount_predictions_loss: 0.3159 60/1102 [>.............................] - ETA: 5:16 - loss: 264.4011 - logits_profile_predictions_loss: 261.0503 - logcount_predictions_loss: 0.3161 61/1102 [>.............................] - ETA: 5:16 - loss: 264.4013 - logits_profile_predictions_loss: 261.0485 - logcount_predictions_loss: 0.3163 62/1102 [>.............................] - ETA: 5:16 - loss: 264.4082 - logits_profile_predictions_loss: 261.0532 - logcount_predictions_loss: 0.3165 63/1102 [>.............................] - ETA: 5:15 - loss: 264.4165 - logits_profile_predictions_loss: 261.0596 - logcount_predictions_loss: 0.3167 64/1102 [>.............................] - ETA: 5:15 - loss: 264.4276 - logits_profile_predictions_loss: 261.0688 - logcount_predictions_loss: 0.3169 65/1102 [>.............................] - ETA: 5:15 - loss: 264.4434 - logits_profile_predictions_loss: 261.0828 - logcount_predictions_loss: 0.3170 66/1102 [>.............................] - ETA: 5:14 - loss: 264.4580 - logits_profile_predictions_loss: 261.0957 - logcount_predictions_loss: 0.3172 67/1102 [>.............................] - ETA: 5:14 - loss: 264.4774 - logits_profile_predictions_loss: 261.1134 - logcount_predictions_loss: 0.3174 68/1102 [>.............................] - ETA: 5:14 - loss: 264.4971 - logits_profile_predictions_loss: 261.1318 - logcount_predictions_loss: 0.3175 69/1102 [>.............................] - ETA: 5:14 - loss: 264.5203 - logits_profile_predictions_loss: 261.1536 - logcount_predictions_loss: 0.3176 70/1102 [>.............................] - ETA: 5:13 - loss: 264.5426 - logits_profile_predictions_loss: 261.1747 - logcount_predictions_loss: 0.3177 71/1102 [>.............................] - ETA: 5:13 - loss: 264.5590 - logits_profile_predictions_loss: 261.1900 - logcount_predictions_loss: 0.3178 72/1102 [>.............................] - ETA: 5:13 - loss: 264.5775 - logits_profile_predictions_loss: 261.2074 - logcount_predictions_loss: 0.3179 73/1102 [>.............................] - ETA: 5:12 - loss: 264.5956 - logits_profile_predictions_loss: 261.2243 - logcount_predictions_loss: 0.3180 74/1102 [=>............................] - ETA: 5:12 - loss: 264.6085 - logits_profile_predictions_loss: 261.2362 - logcount_predictions_loss: 0.3181 75/1102 [=>............................] - ETA: 5:12 - loss: 264.6210 - logits_profile_predictions_loss: 261.2478 - logcount_predictions_loss: 0.3182 76/1102 [=>............................] - ETA: 5:11 - loss: 264.6305 - logits_profile_predictions_loss: 261.2565 - logcount_predictions_loss: 0.3183 77/1102 [=>............................] - ETA: 5:11 - loss: 264.6463 - logits_profile_predictions_loss: 261.2715 - logcount_predictions_loss: 0.3184 78/1102 [=>............................] - ETA: 5:11 - loss: 264.6671 - logits_profile_predictions_loss: 261.2913 - logcount_predictions_loss: 0.3185 79/1102 [=>............................] - ETA: 5:10 - loss: 264.6885 - logits_profile_predictions_loss: 261.3117 - logcount_predictions_loss: 0.3186 80/1102 [=>............................] - ETA: 5:10 - loss: 264.7096 - logits_profile_predictions_loss: 261.3319 - logcount_predictions_loss: 0.3187 81/1102 [=>............................] - ETA: 5:10 - loss: 264.7291 - logits_profile_predictions_loss: 261.3503 - logcount_predictions_loss: 0.3188 82/1102 [=>............................] - ETA: 5:10 - loss: 264.7460 - logits_profile_predictions_loss: 261.3662 - logcount_predictions_loss: 0.3188 83/1102 [=>............................] - ETA: 5:09 - 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90/1102 [=>............................] - ETA: 5:07 - loss: 264.8624 - logits_profile_predictions_loss: 261.4747 - logcount_predictions_loss: 0.3196 91/1102 [=>............................] - ETA: 5:07 - loss: 264.8806 - logits_profile_predictions_loss: 261.4922 - logcount_predictions_loss: 0.3197 92/1102 [=>............................] - ETA: 5:07 - loss: 264.8942 - logits_profile_predictions_loss: 261.5049 - logcount_predictions_loss: 0.3197 93/1102 [=>............................] - ETA: 5:06 - loss: 264.9073 - logits_profile_predictions_loss: 261.5171 - logcount_predictions_loss: 0.3198 94/1102 [=>............................] - ETA: 5:06 - loss: 264.9171 - logits_profile_predictions_loss: 261.5261 - logcount_predictions_loss: 0.3199 95/1102 [=>............................] - ETA: 5:06 - loss: 264.9306 - logits_profile_predictions_loss: 261.5386 - logcount_predictions_loss: 0.3200 96/1102 [=>............................] - ETA: 5:05 - loss: 264.9448 - logits_profile_predictions_loss: 261.5517 - logcount_predictions_loss: 0.3201 97/1102 [=>............................] - ETA: 5:05 - loss: 264.9609 - logits_profile_predictions_loss: 261.5669 - logcount_predictions_loss: 0.3202 98/1102 [=>............................] - ETA: 5:05 - loss: 264.9744 - logits_profile_predictions_loss: 261.5793 - logcount_predictions_loss: 0.3203 99/1102 [=>............................] - ETA: 5:04 - loss: 264.9883 - logits_profile_predictions_loss: 261.5922 - logcount_predictions_loss: 0.3204 100/1102 [=>............................] - ETA: 5:04 - loss: 265.0048 - logits_profile_predictions_loss: 261.6078 - logcount_predictions_loss: 0.3205 101/1102 [=>............................] - ETA: 5:04 - loss: 265.0235 - logits_profile_predictions_loss: 261.6255 - logcount_predictions_loss: 0.3206 102/1102 [=>............................] - ETA: 5:04 - loss: 265.0417 - logits_profile_predictions_loss: 261.6428 - logcount_predictions_loss: 0.3207 103/1102 [=>............................] - ETA: 5:03 - loss: 265.0643 - logits_profile_predictions_loss: 261.6643 - logcount_predictions_loss: 0.3207 104/1102 [=>............................] - ETA: 5:03 - loss: 265.0871 - logits_profile_predictions_loss: 261.6861 - logcount_predictions_loss: 0.3208 105/1102 [=>............................] - ETA: 5:03 - loss: 265.1107 - logits_profile_predictions_loss: 261.7088 - logcount_predictions_loss: 0.3209 106/1102 [=>............................] - ETA: 5:02 - loss: 265.1358 - logits_profile_predictions_loss: 261.7330 - logcount_predictions_loss: 0.3210 107/1102 [=>............................] - ETA: 5:02 - loss: 265.1606 - logits_profile_predictions_loss: 261.7569 - logcount_predictions_loss: 0.3211 108/1102 [=>............................] - ETA: 5:02 - loss: 265.1858 - logits_profile_predictions_loss: 261.7812 - logcount_predictions_loss: 0.3212 109/1102 [=>............................] - ETA: 5:01 - loss: 265.2078 - logits_profile_predictions_loss: 261.8023 - logcount_predictions_loss: 0.3213 110/1102 [=>............................] - ETA: 5:01 - loss: 265.2295 - logits_profile_predictions_loss: 261.8231 - logcount_predictions_loss: 0.3214 111/1102 [==>...........................] - ETA: 5:01 - loss: 265.2520 - logits_profile_predictions_loss: 261.8447 - logcount_predictions_loss: 0.3214 112/1102 [==>...........................] - ETA: 5:01 - loss: 265.2725 - logits_profile_predictions_loss: 261.8645 - logcount_predictions_loss: 0.3215 113/1102 [==>...........................] - ETA: 5:00 - loss: 265.2923 - logits_profile_predictions_loss: 261.8836 - logcount_predictions_loss: 0.3216 114/1102 [==>...........................] - ETA: 5:00 - loss: 265.3121 - logits_profile_predictions_loss: 261.9028 - logcount_predictions_loss: 0.3216 115/1102 [==>...........................] - ETA: 5:00 - loss: 265.3291 - logits_profile_predictions_loss: 261.9191 - logcount_predictions_loss: 0.3217 116/1102 [==>...........................] - ETA: 4:59 - loss: 265.3462 - logits_profile_predictions_loss: 261.9357 - logcount_predictions_loss: 0.3217 117/1102 [==>...........................] - ETA: 4:59 - loss: 265.3612 - logits_profile_predictions_loss: 261.9502 - logcount_predictions_loss: 0.3218 118/1102 [==>...........................] - ETA: 4:59 - loss: 265.3744 - logits_profile_predictions_loss: 261.9629 - logcount_predictions_loss: 0.3218 119/1102 [==>...........................] - ETA: 4:58 - loss: 265.3861 - logits_profile_predictions_loss: 261.9742 - logcount_predictions_loss: 0.3219 120/1102 [==>...........................] - ETA: 4:58 - loss: 265.3990 - logits_profile_predictions_loss: 261.9865 - logcount_predictions_loss: 0.3219 121/1102 [==>...........................] - ETA: 4:58 - loss: 265.4108 - logits_profile_predictions_loss: 261.9979 - logcount_predictions_loss: 0.3220 122/1102 [==>...........................] - ETA: 4:57 - loss: 265.4222 - logits_profile_predictions_loss: 262.0089 - logcount_predictions_loss: 0.3220 123/1102 [==>...........................] - ETA: 4:57 - loss: 265.4332 - logits_profile_predictions_loss: 262.0195 - logcount_predictions_loss: 0.3220 124/1102 [==>...........................] - ETA: 4:57 - loss: 265.4418 - logits_profile_predictions_loss: 262.0278 - logcount_predictions_loss: 0.3221 125/1102 [==>...........................] - ETA: 4:57 - loss: 265.4502 - logits_profile_predictions_loss: 262.0358 - logcount_predictions_loss: 0.3221 126/1102 [==>...........................] - ETA: 4:56 - loss: 265.4574 - logits_profile_predictions_loss: 262.0427 - logcount_predictions_loss: 0.3221 127/1102 [==>...........................] - ETA: 4:56 - loss: 265.4660 - logits_profile_predictions_loss: 262.0509 - logcount_predictions_loss: 0.3222 128/1102 [==>...........................] - ETA: 4:56 - loss: 265.4759 - logits_profile_predictions_loss: 262.0605 - logcount_predictions_loss: 0.3222 129/1102 [==>...........................] - ETA: 4:55 - loss: 265.4863 - logits_profile_predictions_loss: 262.0705 - logcount_predictions_loss: 0.3222 130/1102 [==>...........................] - ETA: 4:55 - loss: 265.4978 - logits_profile_predictions_loss: 262.0815 - logcount_predictions_loss: 0.3223 131/1102 [==>...........................] - ETA: 4:55 - loss: 265.5088 - logits_profile_predictions_loss: 262.0921 - logcount_predictions_loss: 0.3223 132/1102 [==>...........................] - ETA: 4:54 - loss: 265.5183 - logits_profile_predictions_loss: 262.1012 - logcount_predictions_loss: 0.3224 133/1102 [==>...........................] - ETA: 4:54 - loss: 265.5292 - logits_profile_predictions_loss: 262.1116 - logcount_predictions_loss: 0.3224 134/1102 [==>...........................] - ETA: 4:54 - loss: 265.5390 - logits_profile_predictions_loss: 262.1210 - logcount_predictions_loss: 0.3224 135/1102 [==>...........................] - ETA: 4:54 - loss: 265.5498 - logits_profile_predictions_loss: 262.1314 - logcount_predictions_loss: 0.3225 136/1102 [==>...........................] - ETA: 4:53 - loss: 265.5599 - logits_profile_predictions_loss: 262.1411 - logcount_predictions_loss: 0.3225 137/1102 [==>...........................] - ETA: 4:53 - loss: 265.5691 - logits_profile_predictions_loss: 262.1501 - logcount_predictions_loss: 0.3225 138/1102 [==>...........................] - ETA: 4:53 - loss: 265.5787 - logits_profile_predictions_loss: 262.1594 - logcount_predictions_loss: 0.3226 139/1102 [==>...........................] - ETA: 4:52 - loss: 265.5875 - logits_profile_predictions_loss: 262.1680 - logcount_predictions_loss: 0.3226 140/1102 [==>...........................] - ETA: 4:52 - loss: 265.5971 - logits_profile_predictions_loss: 262.1774 - logcount_predictions_loss: 0.3226 141/1102 [==>...........................] - ETA: 4:52 - loss: 265.6060 - logits_profile_predictions_loss: 262.1860 - logcount_predictions_loss: 0.3226 142/1102 [==>...........................] - ETA: 4:51 - loss: 265.6134 - logits_profile_predictions_loss: 262.1931 - logcount_predictions_loss: 0.3227 143/1102 [==>...........................] - ETA: 4:51 - loss: 265.6211 - logits_profile_predictions_loss: 262.2007 - logcount_predictions_loss: 0.3227 144/1102 [==>...........................] - ETA: 4:51 - loss: 265.6294 - logits_profile_predictions_loss: 262.2087 - logcount_predictions_loss: 0.3227 145/1102 [==>...........................] - ETA: 4:51 - loss: 265.6361 - logits_profile_predictions_loss: 262.2152 - logcount_predictions_loss: 0.3227 146/1102 [==>...........................] - ETA: 4:50 - loss: 265.6429 - logits_profile_predictions_loss: 262.2218 - logcount_predictions_loss: 0.3227 147/1102 [===>..........................] - ETA: 4:50 - loss: 265.6498 - logits_profile_predictions_loss: 262.2285 - logcount_predictions_loss: 0.3228 148/1102 [===>..........................] - ETA: 4:50 - loss: 265.6569 - logits_profile_predictions_loss: 262.2354 - logcount_predictions_loss: 0.3228 149/1102 [===>..........................] - ETA: 4:49 - loss: 265.6634 - logits_profile_predictions_loss: 262.2418 - logcount_predictions_loss: 0.3228 150/1102 [===>..........................] - ETA: 4:49 - loss: 265.6709 - logits_profile_predictions_loss: 262.2491 - logcount_predictions_loss: 0.3228 151/1102 [===>..........................] - ETA: 4:49 - loss: 265.6780 - logits_profile_predictions_loss: 262.2560 - logcount_predictions_loss: 0.3228 152/1102 [===>..........................] - ETA: 4:48 - loss: 265.6843 - logits_profile_predictions_loss: 262.2622 - logcount_predictions_loss: 0.3228 153/1102 [===>..........................] - ETA: 4:48 - loss: 265.6903 - logits_profile_predictions_loss: 262.2680 - logcount_predictions_loss: 0.3229 154/1102 [===>..........................] - ETA: 4:48 - loss: 265.6963 - logits_profile_predictions_loss: 262.2739 - logcount_predictions_loss: 0.3229 155/1102 [===>..........................] - ETA: 4:47 - loss: 265.7018 - logits_profile_predictions_loss: 262.2794 - logcount_predictions_loss: 0.3229 156/1102 [===>..........................] - ETA: 4:47 - loss: 265.7071 - logits_profile_predictions_loss: 262.2844 - logcount_predictions_loss: 0.3229 157/1102 [===>..........................] - ETA: 4:47 - loss: 265.7117 - logits_profile_predictions_loss: 262.2890 - logcount_predictions_loss: 0.3229 158/1102 [===>..........................] - ETA: 4:47 - loss: 265.7157 - logits_profile_predictions_loss: 262.2928 - logcount_predictions_loss: 0.3229 159/1102 [===>..........................] - ETA: 4:46 - loss: 265.7186 - logits_profile_predictions_loss: 262.2957 - logcount_predictions_loss: 0.3229 160/1102 [===>..........................] - ETA: 4:46 - loss: 265.7207 - logits_profile_predictions_loss: 262.2976 - logcount_predictions_loss: 0.3229 161/1102 [===>..........................] - ETA: 4:46 - loss: 265.7232 - logits_profile_predictions_loss: 262.3001 - logcount_predictions_loss: 0.3229 162/1102 [===>..........................] - ETA: 4:45 - loss: 265.7254 - logits_profile_predictions_loss: 262.3021 - logcount_predictions_loss: 0.3229 163/1102 [===>..........................] - ETA: 4:45 - loss: 265.7275 - logits_profile_predictions_loss: 262.3041 - logcount_predictions_loss: 0.3230 164/1102 [===>..........................] - ETA: 4:45 - loss: 265.7286 - logits_profile_predictions_loss: 262.3051 - logcount_predictions_loss: 0.3230 165/1102 [===>..........................] - ETA: 4:44 - loss: 265.7292 - logits_profile_predictions_loss: 262.3056 - logcount_predictions_loss: 0.3230 166/1102 [===>..........................] - ETA: 4:44 - loss: 265.7301 - logits_profile_predictions_loss: 262.3064 - logcount_predictions_loss: 0.3230 167/1102 [===>..........................] - ETA: 4:44 - loss: 265.7313 - logits_profile_predictions_loss: 262.3075 - logcount_predictions_loss: 0.3230 168/1102 [===>..........................] - ETA: 4:44 - loss: 265.7334 - logits_profile_predictions_loss: 262.3095 - logcount_predictions_loss: 0.3230 169/1102 [===>..........................] - ETA: 4:43 - loss: 265.7360 - logits_profile_predictions_loss: 262.3120 - logcount_predictions_loss: 0.3230 170/1102 [===>..........................] - ETA: 4:43 - loss: 265.7392 - logits_profile_predictions_loss: 262.3151 - logcount_predictions_loss: 0.3230 171/1102 [===>..........................] - ETA: 4:43 - loss: 265.7428 - logits_profile_predictions_loss: 262.3185 - logcount_predictions_loss: 0.3230 172/1102 [===>..........................] - ETA: 4:42 - loss: 265.7460 - logits_profile_predictions_loss: 262.3216 - logcount_predictions_loss: 0.3231 173/1102 [===>..........................] - ETA: 4:42 - loss: 265.7487 - logits_profile_predictions_loss: 262.3242 - logcount_predictions_loss: 0.3231 174/1102 [===>..........................] - ETA: 4:42 - loss: 265.7511 - logits_profile_predictions_loss: 262.3265 - logcount_predictions_loss: 0.3231 175/1102 [===>..........................] - ETA: 4:41 - loss: 265.7539 - logits_profile_predictions_loss: 262.3292 - logcount_predictions_loss: 0.3231 176/1102 [===>..........................] - ETA: 4:41 - loss: 265.7569 - logits_profile_predictions_loss: 262.3321 - logcount_predictions_loss: 0.3231 177/1102 [===>..........................] - ETA: 4:41 - loss: 265.7599 - logits_profile_predictions_loss: 262.3350 - logcount_predictions_loss: 0.3231 178/1102 [===>..........................] - ETA: 4:41 - loss: 265.7625 - logits_profile_predictions_loss: 262.3376 - logcount_predictions_loss: 0.3231 179/1102 [===>..........................] - ETA: 4:40 - loss: 265.7654 - logits_profile_predictions_loss: 262.3404 - logcount_predictions_loss: 0.3231 180/1102 [===>..........................] - ETA: 4:40 - loss: 265.7680 - logits_profile_predictions_loss: 262.3429 - logcount_predictions_loss: 0.3231 181/1102 [===>..........................] - ETA: 4:40 - loss: 265.7706 - logits_profile_predictions_loss: 262.3454 - logcount_predictions_loss: 0.3231 182/1102 [===>..........................] - ETA: 4:39 - loss: 265.7724 - logits_profile_predictions_loss: 262.3471 - logcount_predictions_loss: 0.3231 183/1102 [===>..........................] - ETA: 4:39 - loss: 265.7740 - logits_profile_predictions_loss: 262.3487 - logcount_predictions_loss: 0.3231 184/1102 [====>.........................] - ETA: 4:39 - loss: 265.7760 - logits_profile_predictions_loss: 262.3506 - logcount_predictions_loss: 0.3232 185/1102 [====>.........................] - ETA: 4:38 - loss: 265.7776 - logits_profile_predictions_loss: 262.3521 - logcount_predictions_loss: 0.3232 186/1102 [====>.........................] - ETA: 4:38 - loss: 265.7807 - logits_profile_predictions_loss: 262.3551 - logcount_predictions_loss: 0.3232 187/1102 [====>.........................] - ETA: 4:38 - loss: 265.7840 - logits_profile_predictions_loss: 262.3583 - logcount_predictions_loss: 0.3232 188/1102 [====>.........................] - ETA: 4:37 - loss: 265.7868 - logits_profile_predictions_loss: 262.3610 - logcount_predictions_loss: 0.3232 189/1102 [====>.........................] - ETA: 4:37 - loss: 265.7899 - logits_profile_predictions_loss: 262.3640 - logcount_predictions_loss: 0.3232 190/1102 [====>.........................] - ETA: 4:37 - loss: 265.7932 - logits_profile_predictions_loss: 262.3672 - logcount_predictions_loss: 0.3232 191/1102 [====>.........................] - ETA: 4:37 - loss: 265.7966 - logits_profile_predictions_loss: 262.3706 - logcount_predictions_loss: 0.3232 192/1102 [====>.........................] - ETA: 4:36 - loss: 265.7994 - logits_profile_predictions_loss: 262.3733 - logcount_predictions_loss: 0.3232 193/1102 [====>.........................] - ETA: 4:36 - loss: 265.8020 - logits_profile_predictions_loss: 262.3759 - logcount_predictions_loss: 0.3232 194/1102 [====>.........................] - ETA: 4:36 - loss: 265.8043 - logits_profile_predictions_loss: 262.3780 - logcount_predictions_loss: 0.3232 195/1102 [====>.........................] - ETA: 4:35 - loss: 265.8061 - logits_profile_predictions_loss: 262.3798 - logcount_predictions_loss: 0.3232 196/1102 [====>.........................] - ETA: 4:35 - loss: 265.8084 - logits_profile_predictions_loss: 262.3820 - logcount_predictions_loss: 0.3232 197/1102 [====>.........................] - ETA: 4:35 - loss: 265.8106 - logits_profile_predictions_loss: 262.3842 - logcount_predictions_loss: 0.3233 198/1102 [====>.........................] - ETA: 4:34 - loss: 265.8127 - logits_profile_predictions_loss: 262.3862 - logcount_predictions_loss: 0.3233 199/1102 [====>.........................] - ETA: 4:34 - loss: 265.8143 - logits_profile_predictions_loss: 262.3876 - logcount_predictions_loss: 0.3233 200/1102 [====>.........................] - ETA: 4:34 - loss: 265.8156 - logits_profile_predictions_loss: 262.3888 - logcount_predictions_loss: 0.3233 201/1102 [====>.........................] - ETA: 4:34 - loss: 265.8168 - logits_profile_predictions_loss: 262.3899 - logcount_predictions_loss: 0.3233 202/1102 [====>.........................] - ETA: 4:33 - loss: 265.8179 - logits_profile_predictions_loss: 262.3909 - logcount_predictions_loss: 0.3233 203/1102 [====>.........................] - ETA: 4:33 - loss: 265.8192 - logits_profile_predictions_loss: 262.3920 - logcount_predictions_loss: 0.3233 204/1102 [====>.........................] - ETA: 4:33 - loss: 265.8203 - logits_profile_predictions_loss: 262.3930 - logcount_predictions_loss: 0.3233 205/1102 [====>.........................] - ETA: 4:32 - loss: 265.8213 - logits_profile_predictions_loss: 262.3937 - logcount_predictions_loss: 0.3234 206/1102 [====>.........................] - ETA: 4:32 - loss: 265.8225 - logits_profile_predictions_loss: 262.3947 - logcount_predictions_loss: 0.3234 207/1102 [====>.........................] - ETA: 4:32 - loss: 265.8238 - logits_profile_predictions_loss: 262.3956 - logcount_predictions_loss: 0.3234 208/1102 [====>.........................] - ETA: 4:31 - loss: 265.8245 - logits_profile_predictions_loss: 262.3960 - logcount_predictions_loss: 0.3234 209/1102 [====>.........................] - ETA: 4:31 - loss: 265.8252 - logits_profile_predictions_loss: 262.3965 - logcount_predictions_loss: 0.3235 210/1102 [====>.........................] - ETA: 4:31 - loss: 265.8263 - logits_profile_predictions_loss: 262.3973 - logcount_predictions_loss: 0.3235 211/1102 [====>.........................] - ETA: 4:30 - loss: 265.8270 - logits_profile_predictions_loss: 262.3977 - logcount_predictions_loss: 0.3235 212/1102 [====>.........................] - ETA: 4:30 - loss: 265.8278 - logits_profile_predictions_loss: 262.3982 - logcount_predictions_loss: 0.3235 213/1102 [====>.........................] - ETA: 4:30 - loss: 265.8286 - logits_profile_predictions_loss: 262.3988 - logcount_predictions_loss: 0.3236 214/1102 [====>.........................] - ETA: 4:30 - loss: 265.8296 - logits_profile_predictions_loss: 262.3995 - logcount_predictions_loss: 0.3236 215/1102 [====>.........................] - ETA: 4:29 - loss: 265.8301 - logits_profile_predictions_loss: 262.3998 - logcount_predictions_loss: 0.3236 216/1102 [====>.........................] - ETA: 4:29 - loss: 265.8310 - logits_profile_predictions_loss: 262.4005 - logcount_predictions_loss: 0.3236 217/1102 [====>.........................] - ETA: 4:29 - loss: 265.8321 - logits_profile_predictions_loss: 262.4012 - logcount_predictions_loss: 0.3237 218/1102 [====>.........................] - ETA: 4:28 - loss: 265.8333 - logits_profile_predictions_loss: 262.4022 - logcount_predictions_loss: 0.3237 219/1102 [====>.........................] - ETA: 4:28 - loss: 265.8340 - logits_profile_predictions_loss: 262.4026 - logcount_predictions_loss: 0.3237 220/1102 [====>.........................] - ETA: 4:28 - loss: 265.8347 - logits_profile_predictions_loss: 262.4030 - logcount_predictions_loss: 0.3237 221/1102 [=====>........................] - ETA: 4:27 - loss: 265.8351 - logits_profile_predictions_loss: 262.4031 - logcount_predictions_loss: 0.3238 222/1102 [=====>........................] - ETA: 4:27 - loss: 265.8355 - logits_profile_predictions_loss: 262.4032 - logcount_predictions_loss: 0.3238 223/1102 [=====>........................] - ETA: 4:27 - loss: 265.8360 - logits_profile_predictions_loss: 262.4034 - logcount_predictions_loss: 0.3238 224/1102 [=====>........................] - ETA: 4:27 - loss: 265.8360 - logits_profile_predictions_loss: 262.4031 - logcount_predictions_loss: 0.3239 225/1102 [=====>........................] - ETA: 4:26 - loss: 265.8357 - logits_profile_predictions_loss: 262.4025 - logcount_predictions_loss: 0.3239 226/1102 [=====>........................] - ETA: 4:26 - loss: 265.8356 - logits_profile_predictions_loss: 262.4021 - logcount_predictions_loss: 0.3239 227/1102 [=====>........................] - ETA: 4:26 - loss: 265.8352 - logits_profile_predictions_loss: 262.4014 - logcount_predictions_loss: 0.3239 228/1102 [=====>........................] - ETA: 4:25 - loss: 265.8349 - logits_profile_predictions_loss: 262.4009 - logcount_predictions_loss: 0.3240 229/1102 [=====>........................] - ETA: 4:25 - loss: 265.8346 - logits_profile_predictions_loss: 262.4003 - logcount_predictions_loss: 0.3240 230/1102 [=====>........................] - ETA: 4:25 - loss: 265.8343 - logits_profile_predictions_loss: 262.3997 - logcount_predictions_loss: 0.3240 231/1102 [=====>........................] - ETA: 4:24 - loss: 265.8339 - logits_profile_predictions_loss: 262.3990 - logcount_predictions_loss: 0.3240 232/1102 [=====>........................] - ETA: 4:24 - loss: 265.8331 - logits_profile_predictions_loss: 262.3980 - logcount_predictions_loss: 0.3241 233/1102 [=====>........................] - ETA: 4:24 - loss: 265.8323 - logits_profile_predictions_loss: 262.3970 - logcount_predictions_loss: 0.3241 234/1102 [=====>........................] - ETA: 4:23 - loss: 265.8320 - logits_profile_predictions_loss: 262.3965 - logcount_predictions_loss: 0.3241 235/1102 [=====>........................] - ETA: 4:23 - loss: 265.8314 - logits_profile_predictions_loss: 262.3956 - logcount_predictions_loss: 0.3241 236/1102 [=====>........................] - ETA: 4:23 - loss: 265.8306 - logits_profile_predictions_loss: 262.3945 - logcount_predictions_loss: 0.3242 237/1102 [=====>........................] - ETA: 4:23 - loss: 265.8304 - logits_profile_predictions_loss: 262.3941 - logcount_predictions_loss: 0.3242 238/1102 [=====>........................] - ETA: 4:22 - loss: 265.8303 - logits_profile_predictions_loss: 262.3938 - logcount_predictions_loss: 0.3242 239/1102 [=====>........................] - ETA: 4:22 - loss: 265.8298 - logits_profile_predictions_loss: 262.3930 - logcount_predictions_loss: 0.3242 240/1102 [=====>........................] - ETA: 4:22 - loss: 265.8292 - logits_profile_predictions_loss: 262.3921 - logcount_predictions_loss: 0.3243 241/1102 [=====>........................] - ETA: 4:21 - loss: 265.8285 - logits_profile_predictions_loss: 262.3911 - logcount_predictions_loss: 0.3243 242/1102 [=====>........................] - ETA: 4:21 - loss: 265.8276 - logits_profile_predictions_loss: 262.3900 - logcount_predictions_loss: 0.3243 243/1102 [=====>........................] - ETA: 4:21 - loss: 265.8270 - logits_profile_predictions_loss: 262.3891 - logcount_predictions_loss: 0.3243 244/1102 [=====>........................] - ETA: 4:20 - loss: 265.8270 - logits_profile_predictions_loss: 262.3888 - logcount_predictions_loss: 0.3244 245/1102 [=====>........................] - ETA: 4:20 - loss: 265.8267 - logits_profile_predictions_loss: 262.3882 - logcount_predictions_loss: 0.3244 246/1102 [=====>........................] - ETA: 4:20 - loss: 265.8265 - logits_profile_predictions_loss: 262.3878 - logcount_predictions_loss: 0.3244 247/1102 [=====>........................] - ETA: 4:20 - loss: 265.8263 - logits_profile_predictions_loss: 262.3874 - logcount_predictions_loss: 0.3244 248/1102 [=====>........................] - ETA: 4:19 - loss: 265.8262 - logits_profile_predictions_loss: 262.3869 - logcount_predictions_loss: 0.3245 249/1102 [=====>........................] - ETA: 4:19 - loss: 265.8264 - logits_profile_predictions_loss: 262.3869 - logcount_predictions_loss: 0.3245 250/1102 [=====>........................] - ETA: 4:19 - loss: 265.8269 - logits_profile_predictions_loss: 262.3871 - logcount_predictions_loss: 0.3245 251/1102 [=====>........................] - ETA: 4:18 - loss: 265.8276 - logits_profile_predictions_loss: 262.3876 - logcount_predictions_loss: 0.3245 252/1102 [=====>........................] - ETA: 4:18 - loss: 265.8282 - logits_profile_predictions_loss: 262.3880 - logcount_predictions_loss: 0.3246 253/1102 [=====>........................] - ETA: 4:18 - loss: 265.8287 - logits_profile_predictions_loss: 262.3882 - logcount_predictions_loss: 0.3246 254/1102 [=====>........................] - ETA: 4:17 - loss: 265.8291 - logits_profile_predictions_loss: 262.3883 - logcount_predictions_loss: 0.3246 255/1102 [=====>........................] - ETA: 4:17 - loss: 265.8294 - logits_profile_predictions_loss: 262.3884 - logcount_predictions_loss: 0.3246 256/1102 [=====>........................] - ETA: 4:17 - loss: 265.8297 - logits_profile_predictions_loss: 262.3884 - logcount_predictions_loss: 0.3246 257/1102 [=====>........................] - ETA: 4:16 - loss: 265.8300 - logits_profile_predictions_loss: 262.3885 - logcount_predictions_loss: 0.3247 258/1102 [======>.......................] - ETA: 4:16 - loss: 265.8300 - logits_profile_predictions_loss: 262.3883 - logcount_predictions_loss: 0.3247 259/1102 [======>.......................] - ETA: 4:16 - loss: 265.8299 - logits_profile_predictions_loss: 262.3880 - logcount_predictions_loss: 0.3247 260/1102 [======>.......................] - ETA: 4:16 - loss: 265.8295 - logits_profile_predictions_loss: 262.3873 - logcount_predictions_loss: 0.3247 261/1102 [======>.......................] - ETA: 4:15 - loss: 265.8292 - logits_profile_predictions_loss: 262.3868 - logcount_predictions_loss: 0.3248 262/1102 [======>.......................] - ETA: 4:15 - loss: 265.8287 - logits_profile_predictions_loss: 262.3861 - logcount_predictions_loss: 0.3248 263/1102 [======>.......................] - ETA: 4:15 - loss: 265.8278 - logits_profile_predictions_loss: 262.3850 - logcount_predictions_loss: 0.3248 264/1102 [======>.......................] - ETA: 4:14 - loss: 265.8271 - logits_profile_predictions_loss: 262.3841 - logcount_predictions_loss: 0.3248 265/1102 [======>.......................] - ETA: 4:14 - loss: 265.8270 - logits_profile_predictions_loss: 262.3837 - logcount_predictions_loss: 0.3248 266/1102 [======>.......................] - ETA: 4:14 - loss: 265.8268 - logits_profile_predictions_loss: 262.3834 - logcount_predictions_loss: 0.3249 267/1102 [======>.......................] - ETA: 4:13 - loss: 265.8268 - logits_profile_predictions_loss: 262.3831 - logcount_predictions_loss: 0.3249 268/1102 [======>.......................] - ETA: 4:13 - loss: 265.8266 - logits_profile_predictions_loss: 262.3826 - logcount_predictions_loss: 0.3249 269/1102 [======>.......................] - ETA: 4:13 - loss: 265.8267 - logits_profile_predictions_loss: 262.3825 - logcount_predictions_loss: 0.3249 270/1102 [======>.......................] - ETA: 4:13 - loss: 265.8270 - logits_profile_predictions_loss: 262.3825 - logcount_predictions_loss: 0.3249 271/1102 [======>.......................] - ETA: 4:12 - loss: 265.8276 - logits_profile_predictions_loss: 262.3829 - logcount_predictions_loss: 0.3250 272/1102 [======>.......................] - ETA: 4:12 - loss: 265.8280 - logits_profile_predictions_loss: 262.3831 - logcount_predictions_loss: 0.3250 273/1102 [======>.......................] - ETA: 4:12 - loss: 265.8289 - logits_profile_predictions_loss: 262.3836 - logcount_predictions_loss: 0.3250 274/1102 [======>.......................] - ETA: 4:11 - loss: 265.8294 - logits_profile_predictions_loss: 262.3839 - logcount_predictions_loss: 0.3250 275/1102 [======>.......................] - ETA: 4:11 - loss: 265.8299 - logits_profile_predictions_loss: 262.3842 - logcount_predictions_loss: 0.3251 276/1102 [======>.......................] - ETA: 4:11 - loss: 265.8301 - logits_profile_predictions_loss: 262.3841 - logcount_predictions_loss: 0.3251 277/1102 [======>.......................] - ETA: 4:10 - loss: 265.8305 - logits_profile_predictions_loss: 262.3842 - logcount_predictions_loss: 0.3251 278/1102 [======>.......................] - ETA: 4:10 - loss: 265.8309 - logits_profile_predictions_loss: 262.3843 - logcount_predictions_loss: 0.3251 279/1102 [======>.......................] - ETA: 4:10 - loss: 265.8314 - logits_profile_predictions_loss: 262.3845 - logcount_predictions_loss: 0.3252 280/1102 [======>.......................] - ETA: 4:09 - loss: 265.8316 - logits_profile_predictions_loss: 262.3845 - logcount_predictions_loss: 0.3252 281/1102 [======>.......................] - ETA: 4:09 - loss: 265.8322 - logits_profile_predictions_loss: 262.3849 - logcount_predictions_loss: 0.3252 282/1102 [======>.......................] - ETA: 4:09 - loss: 265.8330 - logits_profile_predictions_loss: 262.3854 - logcount_predictions_loss: 0.3252 283/1102 [======>.......................] - ETA: 4:09 - loss: 265.8339 - logits_profile_predictions_loss: 262.3860 - logcount_predictions_loss: 0.3253 284/1102 [======>.......................] - ETA: 4:08 - loss: 265.8347 - logits_profile_predictions_loss: 262.3867 - logcount_predictions_loss: 0.3253 285/1102 [======>.......................] - ETA: 4:08 - loss: 265.8355 - logits_profile_predictions_loss: 262.3872 - logcount_predictions_loss: 0.3253 286/1102 [======>.......................] - ETA: 4:08 - loss: 265.8359 - logits_profile_predictions_loss: 262.3874 - logcount_predictions_loss: 0.3253 287/1102 [======>.......................] - ETA: 4:07 - loss: 265.8365 - logits_profile_predictions_loss: 262.3877 - logcount_predictions_loss: 0.3254 288/1102 [======>.......................] - ETA: 4:07 - loss: 265.8369 - logits_profile_predictions_loss: 262.3879 - logcount_predictions_loss: 0.3254 289/1102 [======>.......................] - ETA: 4:07 - loss: 265.8373 - logits_profile_predictions_loss: 262.3881 - logcount_predictions_loss: 0.3254 290/1102 [======>.......................] - ETA: 4:06 - loss: 265.8378 - logits_profile_predictions_loss: 262.3883 - logcount_predictions_loss: 0.3254 291/1102 [======>.......................] - ETA: 4:06 - loss: 265.8386 - 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logits_profile_predictions_loss: 262.7113 - logcount_predictions_loss: 0.3250 186/1102 [====>.........................] - ETA: 4:38 - loss: 266.1598 - logits_profile_predictions_loss: 262.7139 - logcount_predictions_loss: 0.3251 187/1102 [====>.........................] - ETA: 4:38 - loss: 266.1630 - logits_profile_predictions_loss: 262.7166 - logcount_predictions_loss: 0.3251 188/1102 [====>.........................] - ETA: 4:37 - loss: 266.1659 - logits_profile_predictions_loss: 262.7190 - logcount_predictions_loss: 0.3252 189/1102 [====>.........................] - ETA: 4:37 - loss: 266.1690 - logits_profile_predictions_loss: 262.7216 - logcount_predictions_loss: 0.3252 190/1102 [====>.........................] - ETA: 4:37 - loss: 266.1723 - logits_profile_predictions_loss: 262.7245 - logcount_predictions_loss: 0.3253 191/1102 [====>.........................] - ETA: 4:37 - loss: 266.1757 - logits_profile_predictions_loss: 262.7274 - logcount_predictions_loss: 0.3253 192/1102 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[====>.........................] - ETA: 4:32 - loss: 266.2049 - logits_profile_predictions_loss: 262.7515 - logcount_predictions_loss: 0.3258 206/1102 [====>.........................] - ETA: 4:32 - loss: 266.2076 - logits_profile_predictions_loss: 262.7540 - logcount_predictions_loss: 0.3258 207/1102 [====>.........................] - ETA: 4:32 - loss: 266.2098 - logits_profile_predictions_loss: 262.7559 - logcount_predictions_loss: 0.3258 208/1102 [====>.........................] - ETA: 4:31 - loss: 266.2123 - logits_profile_predictions_loss: 262.7580 - logcount_predictions_loss: 0.3259 209/1102 [====>.........................] - ETA: 4:31 - loss: 266.2145 - logits_profile_predictions_loss: 262.7600 - logcount_predictions_loss: 0.3259 210/1102 [====>.........................] - ETA: 4:31 - loss: 266.2165 - logits_profile_predictions_loss: 262.7617 - logcount_predictions_loss: 0.3259 211/1102 [====>.........................] - ETA: 4:30 - loss: 266.2187 - logits_profile_predictions_loss: 262.7637 - logcount_predictions_loss: 0.3259 212/1102 [====>.........................] - ETA: 4:30 - loss: 266.2210 - logits_profile_predictions_loss: 262.7657 - logcount_predictions_loss: 0.3260 213/1102 [====>.........................] - ETA: 4:30 - loss: 266.2230 - logits_profile_predictions_loss: 262.7675 - logcount_predictions_loss: 0.3260 214/1102 [====>.........................] - ETA: 4:30 - loss: 266.2246 - logits_profile_predictions_loss: 262.7689 - logcount_predictions_loss: 0.3260 215/1102 [====>.........................] - ETA: 4:29 - loss: 266.2261 - logits_profile_predictions_loss: 262.7701 - logcount_predictions_loss: 0.3260 216/1102 [====>.........................] - ETA: 4:29 - loss: 266.2273 - logits_profile_predictions_loss: 262.7711 - logcount_predictions_loss: 0.3260 217/1102 [====>.........................] - ETA: 4:29 - loss: 266.2274 - logits_profile_predictions_loss: 262.7710 - logcount_predictions_loss: 0.3261 218/1102 [====>.........................] - ETA: 4:28 - loss: 266.2276 - logits_profile_predictions_loss: 262.7711 - logcount_predictions_loss: 0.3261 219/1102 [====>.........................] - ETA: 4:28 - loss: 266.2279 - logits_profile_predictions_loss: 262.7712 - logcount_predictions_loss: 0.3261 220/1102 [====>.........................] - ETA: 4:28 - loss: 266.2282 - logits_profile_predictions_loss: 262.7713 - logcount_predictions_loss: 0.3261 221/1102 [=====>........................] - ETA: 4:27 - loss: 266.2278 - logits_profile_predictions_loss: 262.7707 - logcount_predictions_loss: 0.3261 222/1102 [=====>........................] - ETA: 4:27 - loss: 266.2277 - logits_profile_predictions_loss: 262.7705 - logcount_predictions_loss: 0.3261 223/1102 [=====>........................] - ETA: 4:27 - loss: 266.2277 - logits_profile_predictions_loss: 262.7703 - logcount_predictions_loss: 0.3262 224/1102 [=====>........................] - ETA: 4:27 - loss: 266.2273 - logits_profile_predictions_loss: 262.7698 - logcount_predictions_loss: 0.3262 225/1102 [=====>........................] - ETA: 4:26 - loss: 266.2265 - logits_profile_predictions_loss: 262.7689 - logcount_predictions_loss: 0.3262 226/1102 [=====>........................] - ETA: 4:26 - loss: 266.2255 - logits_profile_predictions_loss: 262.7677 - logcount_predictions_loss: 0.3262 227/1102 [=====>........................] - ETA: 4:26 - loss: 266.2241 - logits_profile_predictions_loss: 262.7661 - logcount_predictions_loss: 0.3262 228/1102 [=====>........................] - ETA: 4:25 - loss: 266.2226 - logits_profile_predictions_loss: 262.7645 - logcount_predictions_loss: 0.3262 229/1102 [=====>........................] - ETA: 4:25 - loss: 266.2218 - logits_profile_predictions_loss: 262.7636 - logcount_predictions_loss: 0.3262 230/1102 [=====>........................] - ETA: 4:25 - loss: 266.2213 - logits_profile_predictions_loss: 262.7629 - logcount_predictions_loss: 0.3263 231/1102 [=====>........................] - ETA: 4:24 - loss: 266.2210 - logits_profile_predictions_loss: 262.7624 - logcount_predictions_loss: 0.3263 232/1102 [=====>........................] - ETA: 4:24 - loss: 266.2208 - logits_profile_predictions_loss: 262.7620 - logcount_predictions_loss: 0.3263 233/1102 [=====>........................] - ETA: 4:24 - loss: 266.2203 - logits_profile_predictions_loss: 262.7614 - logcount_predictions_loss: 0.3263 234/1102 [=====>........................] - ETA: 4:23 - loss: 266.2197 - logits_profile_predictions_loss: 262.7607 - logcount_predictions_loss: 0.3263 235/1102 [=====>........................] - ETA: 4:23 - loss: 266.2192 - logits_profile_predictions_loss: 262.7601 - logcount_predictions_loss: 0.3263 236/1102 [=====>........................] - ETA: 4:23 - loss: 266.2187 - logits_profile_predictions_loss: 262.7595 - logcount_predictions_loss: 0.3263 237/1102 [=====>........................] - ETA: 4:23 - loss: 266.2184 - logits_profile_predictions_loss: 262.7591 - logcount_predictions_loss: 0.3263 238/1102 [=====>........................] - ETA: 4:22 - loss: 266.2184 - logits_profile_predictions_loss: 262.7590 - logcount_predictions_loss: 0.3264 239/1102 [=====>........................] - ETA: 4:22 - loss: 266.2185 - logits_profile_predictions_loss: 262.7590 - logcount_predictions_loss: 0.3264 240/1102 [=====>........................] - ETA: 4:22 - loss: 266.2190 - logits_profile_predictions_loss: 262.7595 - logcount_predictions_loss: 0.3264 241/1102 [=====>........................] - ETA: 4:21 - loss: 266.2195 - logits_profile_predictions_loss: 262.7598 - logcount_predictions_loss: 0.3264 242/1102 [=====>........................] - ETA: 4:21 - loss: 266.2197 - logits_profile_predictions_loss: 262.7600 - logcount_predictions_loss: 0.3264 243/1102 [=====>........................] - ETA: 4:21 - loss: 266.2203 - logits_profile_predictions_loss: 262.7605 - logcount_predictions_loss: 0.3264 244/1102 [=====>........................] - ETA: 4:20 - loss: 266.2213 - logits_profile_predictions_loss: 262.7614 - logcount_predictions_loss: 0.3264 245/1102 [=====>........................] - ETA: 4:20 - loss: 266.2221 - logits_profile_predictions_loss: 262.7622 - logcount_predictions_loss: 0.3264 246/1102 [=====>........................] - ETA: 4:20 - loss: 266.2233 - logits_profile_predictions_loss: 262.7633 - logcount_predictions_loss: 0.3264 247/1102 [=====>........................] - ETA: 4:20 - loss: 266.2247 - logits_profile_predictions_loss: 262.7647 - logcount_predictions_loss: 0.3264 248/1102 [=====>........................] - ETA: 4:19 - loss: 266.2261 - logits_profile_predictions_loss: 262.7661 - logcount_predictions_loss: 0.3264 249/1102 [=====>........................] - ETA: 4:19 - loss: 266.2270 - logits_profile_predictions_loss: 262.7669 - logcount_predictions_loss: 0.3264 250/1102 [=====>........................] - ETA: 4:19 - loss: 266.2280 - logits_profile_predictions_loss: 262.7678 - logcount_predictions_loss: 0.3264 251/1102 [=====>........................] - ETA: 4:18 - loss: 266.2293 - logits_profile_predictions_loss: 262.7691 - logcount_predictions_loss: 0.3264 252/1102 [=====>........................] - ETA: 4:18 - loss: 266.2305 - logits_profile_predictions_loss: 262.7702 - logcount_predictions_loss: 0.3264 253/1102 [=====>........................] - ETA: 4:18 - loss: 266.2315 - logits_profile_predictions_loss: 262.7712 - logcount_predictions_loss: 0.3264 254/1102 [=====>........................] - ETA: 4:17 - loss: 266.2324 - logits_profile_predictions_loss: 262.7721 - logcount_predictions_loss: 0.3264 255/1102 [=====>........................] - ETA: 4:17 - loss: 266.2336 - logits_profile_predictions_loss: 262.7732 - logcount_predictions_loss: 0.3264 256/1102 [=====>........................] - ETA: 4:17 - loss: 266.2344 - logits_profile_predictions_loss: 262.7740 - logcount_predictions_loss: 0.3264 257/1102 [=====>........................] - ETA: 4:16 - loss: 266.2351 - logits_profile_predictions_loss: 262.7747 - logcount_predictions_loss: 0.3264 258/1102 [======>.......................] - ETA: 4:16 - loss: 266.2359 - logits_profile_predictions_loss: 262.7755 - logcount_predictions_loss: 0.3265 259/1102 [======>.......................] - ETA: 4:16 - loss: 266.2371 - logits_profile_predictions_loss: 262.7766 - logcount_predictions_loss: 0.3265 260/1102 [======>.......................] - ETA: 4:16 - loss: 266.2380 - logits_profile_predictions_loss: 262.7775 - logcount_predictions_loss: 0.3265 261/1102 [======>.......................] - ETA: 4:15 - loss: 266.2391 - logits_profile_predictions_loss: 262.7786 - logcount_predictions_loss: 0.3265 262/1102 [======>.......................] - ETA: 4:15 - loss: 266.2403 - logits_profile_predictions_loss: 262.7798 - logcount_predictions_loss: 0.3265 263/1102 [======>.......................] - ETA: 4:15 - loss: 266.2417 - 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[======>.......................] - ETA: 4:13 - loss: 266.2492 - logits_profile_predictions_loss: 262.7884 - logcount_predictions_loss: 0.3265 271/1102 [======>.......................] - ETA: 4:12 - loss: 266.2504 - logits_profile_predictions_loss: 262.7896 - logcount_predictions_loss: 0.3265 272/1102 [======>.......................] - ETA: 4:12 - loss: 266.2516 - logits_profile_predictions_loss: 262.7908 - logcount_predictions_loss: 0.3265 273/1102 [======>.......................] - ETA: 4:12 - loss: 266.2527 - logits_profile_predictions_loss: 262.7919 - logcount_predictions_loss: 0.3265 274/1102 [======>.......................] - ETA: 4:11 - loss: 266.2538 - logits_profile_predictions_loss: 262.7929 - logcount_predictions_loss: 0.3265 275/1102 [======>.......................] - ETA: 4:11 - loss: 266.2549 - logits_profile_predictions_loss: 262.7941 - logcount_predictions_loss: 0.3265 276/1102 [======>.......................] - ETA: 4:11 - loss: 266.2556 - 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[======>.......................] - ETA: 4:09 - loss: 266.2570 - logits_profile_predictions_loss: 262.7964 - logcount_predictions_loss: 0.3265 284/1102 [======>.......................] - ETA: 4:08 - loss: 266.2574 - logits_profile_predictions_loss: 262.7968 - logcount_predictions_loss: 0.3265 285/1102 [======>.......................] - ETA: 4:08 - loss: 266.2576 - logits_profile_predictions_loss: 262.7970 - logcount_predictions_loss: 0.3265 286/1102 [======>.......................] - ETA: 4:08 - loss: 266.2581 - logits_profile_predictions_loss: 262.7975 - logcount_predictions_loss: 0.3265 287/1102 [======>.......................] - ETA: 4:07 - loss: 266.2587 - logits_profile_predictions_loss: 262.7982 - logcount_predictions_loss: 0.3265 288/1102 [======>.......................] - ETA: 4:07 - loss: 266.2592 - logits_profile_predictions_loss: 262.7987 - logcount_predictions_loss: 0.3265 289/1102 [======>.......................] - ETA: 4:07 - loss: 266.2597 - logits_profile_predictions_loss: 262.7991 - logcount_predictions_loss: 0.3265 290/1102 [======>.......................] - ETA: 4:06 - loss: 266.2596 - logits_profile_predictions_loss: 262.7990 - logcount_predictions_loss: 0.3265 291/1102 [======>.......................] - ETA: 4:06 - loss: 266.2596 - logits_profile_predictions_loss: 262.7990 - logcount_predictions_loss: 0.3265 292/1102 [======>.......................] - ETA: 4:06 - loss: 266.2594 - logits_profile_predictions_loss: 262.7988 - logcount_predictions_loss: 0.3265 293/1102 [======>.......................] - ETA: 4:06 - loss: 266.2591 - logits_profile_predictions_loss: 262.7985 - logcount_predictions_loss: 0.3265 294/1102 [=======>......................] - ETA: 4:05 - loss: 266.2587 - logits_profile_predictions_loss: 262.7981 - logcount_predictions_loss: 0.3265 295/1102 [=======>......................] - ETA: 4:05 - loss: 266.2581 - logits_profile_predictions_loss: 262.7974 - logcount_predictions_loss: 0.3265 296/1102 [=======>......................] - ETA: 4:05 - loss: 266.2573 - logits_profile_predictions_loss: 262.7966 - logcount_predictions_loss: 0.3265 297/1102 [=======>......................] - ETA: 4:04 - loss: 266.2564 - logits_profile_predictions_loss: 262.7957 - logcount_predictions_loss: 0.3265 298/1102 [=======>......................] - ETA: 4:04 - loss: 266.2554 - logits_profile_predictions_loss: 262.7948 - logcount_predictions_loss: 0.3265 299/1102 [=======>......................] - ETA: 4:04 - loss: 266.2547 - logits_profile_predictions_loss: 262.7941 - logcount_predictions_loss: 0.3265 300/1102 [=======>......................] - ETA: 4:03 - loss: 266.2538 - logits_profile_predictions_loss: 262.7932 - logcount_predictions_loss: 0.3265 301/1102 [=======>......................] - ETA: 4:03 - loss: 266.2531 - logits_profile_predictions_loss: 262.7924 - logcount_predictions_loss: 0.3265 302/1102 [=======>......................] - ETA: 4:03 - loss: 266.2521 - 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274.0012 - val_logits_profile_predictions_loss: 270.6063 - val_logcount_predictions_loss: 0.3203 + +Epoch 00006: val_loss improved from 274.29785 to 274.00116, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 7/50 + 1/1102 [..............................] - ETA: 5:49 - loss: 270.9882 - logits_profile_predictions_loss: 268.0761 - logcount_predictions_loss: 0.2747 2/1102 [..............................] - ETA: 5:32 - loss: 274.1403 - logits_profile_predictions_loss: 271.1683 - logcount_predictions_loss: 0.2804 3/1102 [..............................] - ETA: 5:32 - loss: 270.4384 - logits_profile_predictions_loss: 267.5290 - logcount_predictions_loss: 0.2745 4/1102 [..............................] - ETA: 5:32 - loss: 268.6774 - logits_profile_predictions_loss: 265.7992 - logcount_predictions_loss: 0.2715 5/1102 [..............................] - ETA: 5:32 - loss: 266.9569 - logits_profile_predictions_loss: 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[..............................] - ETA: 5:24 - loss: 267.7445 - logits_profile_predictions_loss: 264.7138 - logcount_predictions_loss: 0.2859 33/1102 [..............................] - ETA: 5:24 - loss: 267.8190 - logits_profile_predictions_loss: 264.7885 - logcount_predictions_loss: 0.2859 34/1102 [..............................] - ETA: 5:24 - loss: 267.8696 - logits_profile_predictions_loss: 264.8394 - logcount_predictions_loss: 0.2859 35/1102 [..............................] - ETA: 5:23 - loss: 267.9113 - logits_profile_predictions_loss: 264.8817 - logcount_predictions_loss: 0.2858 36/1102 [..............................] - ETA: 5:23 - loss: 267.9531 - logits_profile_predictions_loss: 264.9243 - logcount_predictions_loss: 0.2857 37/1102 [>.............................] - ETA: 5:23 - loss: 267.9764 - logits_profile_predictions_loss: 264.9486 - logcount_predictions_loss: 0.2856 38/1102 [>.............................] - ETA: 5:22 - loss: 267.9935 - logits_profile_predictions_loss: 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264.4916 - logcount_predictions_loss: 0.2878 72/1102 [>.............................] - ETA: 5:12 - loss: 267.5386 - logits_profile_predictions_loss: 264.4871 - logcount_predictions_loss: 0.2879 73/1102 [>.............................] - ETA: 5:12 - loss: 267.5358 - logits_profile_predictions_loss: 264.4835 - logcount_predictions_loss: 0.2879 74/1102 [=>............................] - ETA: 5:12 - loss: 267.5336 - logits_profile_predictions_loss: 264.4805 - logcount_predictions_loss: 0.2880 75/1102 [=>............................] - ETA: 5:11 - loss: 267.5365 - logits_profile_predictions_loss: 264.4827 - logcount_predictions_loss: 0.2881 76/1102 [=>............................] - ETA: 5:11 - loss: 267.5405 - logits_profile_predictions_loss: 264.4859 - logcount_predictions_loss: 0.2882 77/1102 [=>............................] - ETA: 5:11 - loss: 267.5428 - logits_profile_predictions_loss: 264.4875 - logcount_predictions_loss: 0.2882 78/1102 [=>............................] - ETA: 5:11 - 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[===>..........................] - ETA: 4:49 - loss: 267.4232 - logits_profile_predictions_loss: 264.3266 - logcount_predictions_loss: 0.2921 151/1102 [===>..........................] - ETA: 4:49 - loss: 267.4181 - logits_profile_predictions_loss: 264.3208 - logcount_predictions_loss: 0.2922 152/1102 [===>..........................] - ETA: 4:48 - loss: 267.4135 - logits_profile_predictions_loss: 264.3154 - logcount_predictions_loss: 0.2923 153/1102 [===>..........................] - ETA: 4:48 - loss: 267.4089 - logits_profile_predictions_loss: 264.3101 - logcount_predictions_loss: 0.2923 154/1102 [===>..........................] - ETA: 4:48 - loss: 267.4049 - logits_profile_predictions_loss: 264.3054 - logcount_predictions_loss: 0.2924 155/1102 [===>..........................] - ETA: 4:47 - loss: 267.4004 - logits_profile_predictions_loss: 264.3002 - logcount_predictions_loss: 0.2925 156/1102 [===>..........................] - ETA: 4:47 - loss: 267.3953 - 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[===>..........................] - ETA: 4:45 - loss: 267.3558 - logits_profile_predictions_loss: 264.2498 - logcount_predictions_loss: 0.2930 164/1102 [===>..........................] - ETA: 4:45 - loss: 267.3502 - logits_profile_predictions_loss: 264.2435 - logcount_predictions_loss: 0.2931 165/1102 [===>..........................] - ETA: 4:44 - loss: 267.3457 - logits_profile_predictions_loss: 264.2383 - logcount_predictions_loss: 0.2931 166/1102 [===>..........................] - ETA: 4:44 - loss: 267.3413 - logits_profile_predictions_loss: 264.2333 - logcount_predictions_loss: 0.2932 167/1102 [===>..........................] - ETA: 4:44 - loss: 267.3366 - logits_profile_predictions_loss: 264.2279 - logcount_predictions_loss: 0.2933 168/1102 [===>..........................] - ETA: 4:43 - loss: 267.3322 - logits_profile_predictions_loss: 264.2230 - logcount_predictions_loss: 0.2933 169/1102 [===>..........................] - ETA: 4:43 - loss: 267.3272 - 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[===>..........................] - ETA: 4:41 - loss: 267.3029 - logits_profile_predictions_loss: 264.1890 - logcount_predictions_loss: 0.2938 177/1102 [===>..........................] - ETA: 4:41 - loss: 267.3008 - logits_profile_predictions_loss: 264.1863 - logcount_predictions_loss: 0.2938 178/1102 [===>..........................] - ETA: 4:40 - loss: 267.2984 - logits_profile_predictions_loss: 264.1834 - logcount_predictions_loss: 0.2939 179/1102 [===>..........................] - ETA: 4:40 - loss: 267.2952 - logits_profile_predictions_loss: 264.1795 - logcount_predictions_loss: 0.2939 180/1102 [===>..........................] - ETA: 4:40 - loss: 267.2921 - logits_profile_predictions_loss: 264.1759 - logcount_predictions_loss: 0.2940 181/1102 [===>..........................] - ETA: 4:39 - loss: 267.2887 - logits_profile_predictions_loss: 264.1719 - logcount_predictions_loss: 0.2940 182/1102 [===>..........................] - ETA: 4:39 - loss: 267.2850 - 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[=====>........................] - ETA: 4:17 - loss: 266.8247 - logits_profile_predictions_loss: 263.6810 - logcount_predictions_loss: 0.2966 255/1102 [=====>........................] - ETA: 4:17 - loss: 266.8177 - logits_profile_predictions_loss: 263.6739 - logcount_predictions_loss: 0.2966 256/1102 [=====>........................] - ETA: 4:17 - loss: 266.8108 - logits_profile_predictions_loss: 263.6668 - logcount_predictions_loss: 0.2966 257/1102 [=====>........................] - ETA: 4:16 - loss: 266.8036 - logits_profile_predictions_loss: 263.6594 - logcount_predictions_loss: 0.2966 258/1102 [======>.......................] - ETA: 4:16 - loss: 266.7968 - logits_profile_predictions_loss: 263.6525 - logcount_predictions_loss: 0.2966 259/1102 [======>.......................] - ETA: 4:16 - loss: 266.7900 - logits_profile_predictions_loss: 263.6455 - logcount_predictions_loss: 0.2966 260/1102 [======>.......................] - ETA: 4:16 - loss: 266.7833 - 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[======>.......................] - ETA: 4:13 - loss: 266.7315 - logits_profile_predictions_loss: 263.5860 - logcount_predictions_loss: 0.2967 268/1102 [======>.......................] - ETA: 4:13 - loss: 266.7231 - logits_profile_predictions_loss: 263.5775 - logcount_predictions_loss: 0.2967 269/1102 [======>.......................] - ETA: 4:13 - loss: 266.7145 - logits_profile_predictions_loss: 263.5688 - logcount_predictions_loss: 0.2967 270/1102 [======>.......................] - ETA: 4:13 - loss: 266.7060 - logits_profile_predictions_loss: 263.5603 - logcount_predictions_loss: 0.2968 271/1102 [======>.......................] - ETA: 4:12 - loss: 266.6977 - logits_profile_predictions_loss: 263.5519 - logcount_predictions_loss: 0.2968 272/1102 [======>.......................] - ETA: 4:12 - loss: 266.6894 - logits_profile_predictions_loss: 263.5435 - logcount_predictions_loss: 0.2968 273/1102 [======>.......................] - ETA: 4:12 - loss: 266.6810 - 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[============================>.] - ETA: 0s - loss: 265.1475 - logits_profile_predictions_loss: 262.0162 - logcount_predictions_loss: 0.2954 1102/1102 [==============================] - ETA: 0s - loss: 265.1467 - logits_profile_predictions_loss: 262.0155 - logcount_predictions_loss: 0.2954 1102/1102 [==============================] - 348s 316ms/step - loss: 265.1459 - logits_profile_predictions_loss: 262.0147 - logcount_predictions_loss: 0.2954 - val_loss: 274.7199 - val_logits_profile_predictions_loss: 271.4407 - val_logcount_predictions_loss: 0.3094 + +Epoch 00007: val_loss did not improve from 274.00116 +Epoch 8/50 + 1/1102 [..............................] - ETA: 5:43 - loss: 239.7388 - logits_profile_predictions_loss: 237.4177 - logcount_predictions_loss: 0.2190 2/1102 [..............................] - ETA: 5:33 - loss: 244.1617 - logits_profile_predictions_loss: 241.5046 - logcount_predictions_loss: 0.2507 3/1102 [..............................] - ETA: 5:33 - loss: 246.7800 - 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[..............................] - ETA: 5:31 - loss: 251.2285 - logits_profile_predictions_loss: 248.2525 - logcount_predictions_loss: 0.2808 11/1102 [..............................] - ETA: 5:31 - loss: 251.9711 - logits_profile_predictions_loss: 248.9945 - logcount_predictions_loss: 0.2808 12/1102 [..............................] - ETA: 5:30 - loss: 252.6936 - logits_profile_predictions_loss: 249.7127 - logcount_predictions_loss: 0.2812 13/1102 [..............................] - ETA: 5:30 - loss: 253.1836 - logits_profile_predictions_loss: 250.1989 - logcount_predictions_loss: 0.2816 14/1102 [..............................] - ETA: 5:30 - loss: 253.7653 - logits_profile_predictions_loss: 250.7775 - logcount_predictions_loss: 0.2819 15/1102 [..............................] - ETA: 5:29 - loss: 254.3384 - logits_profile_predictions_loss: 251.3496 - logcount_predictions_loss: 0.2820 16/1102 [..............................] - ETA: 5:29 - loss: 254.8426 - logits_profile_predictions_loss: 251.8535 - logcount_predictions_loss: 0.2820 17/1102 [..............................] - ETA: 5:29 - loss: 255.2700 - logits_profile_predictions_loss: 252.2806 - logcount_predictions_loss: 0.2820 18/1102 [..............................] - ETA: 5:28 - loss: 255.6045 - logits_profile_predictions_loss: 252.6138 - logcount_predictions_loss: 0.2821 19/1102 [..............................] - ETA: 5:28 - loss: 255.9111 - logits_profile_predictions_loss: 252.9203 - logcount_predictions_loss: 0.2822 20/1102 [..............................] - ETA: 5:28 - loss: 256.2146 - logits_profile_predictions_loss: 253.2240 - logcount_predictions_loss: 0.2821 21/1102 [..............................] - ETA: 5:28 - loss: 256.5223 - logits_profile_predictions_loss: 253.5316 - logcount_predictions_loss: 0.2821 22/1102 [..............................] - ETA: 5:27 - loss: 256.7614 - logits_profile_predictions_loss: 253.7721 - logcount_predictions_loss: 0.2820 23/1102 [..............................] - ETA: 5:27 - loss: 256.9566 - logits_profile_predictions_loss: 253.9677 - logcount_predictions_loss: 0.2820 24/1102 [..............................] - ETA: 5:27 - loss: 257.1217 - logits_profile_predictions_loss: 254.1331 - logcount_predictions_loss: 0.2819 25/1102 [..............................] - ETA: 5:26 - loss: 257.2494 - logits_profile_predictions_loss: 254.2616 - logcount_predictions_loss: 0.2819 26/1102 [..............................] - ETA: 5:26 - loss: 257.4189 - logits_profile_predictions_loss: 254.4317 - logcount_predictions_loss: 0.2818 27/1102 [..............................] - ETA: 5:26 - loss: 257.5956 - logits_profile_predictions_loss: 254.6072 - logcount_predictions_loss: 0.2819 28/1102 [..............................] - ETA: 5:25 - loss: 257.7797 - logits_profile_predictions_loss: 254.7900 - logcount_predictions_loss: 0.2820 29/1102 [..............................] - ETA: 5:25 - loss: 257.9463 - logits_profile_predictions_loss: 254.9570 - logcount_predictions_loss: 0.2820 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logits_profile_predictions_loss: 255.5915 - logcount_predictions_loss: 0.2813 37/1102 [>.............................] - ETA: 5:23 - loss: 258.6379 - logits_profile_predictions_loss: 255.6571 - logcount_predictions_loss: 0.2812 38/1102 [>.............................] - ETA: 5:23 - loss: 258.7007 - logits_profile_predictions_loss: 255.7204 - logcount_predictions_loss: 0.2812 39/1102 [>.............................] - ETA: 5:22 - loss: 258.7543 - logits_profile_predictions_loss: 255.7742 - logcount_predictions_loss: 0.2811 40/1102 [>.............................] - ETA: 5:22 - loss: 258.7917 - logits_profile_predictions_loss: 255.8115 - logcount_predictions_loss: 0.2811 41/1102 [>.............................] - ETA: 5:22 - loss: 258.8397 - logits_profile_predictions_loss: 255.8594 - logcount_predictions_loss: 0.2812 42/1102 [>.............................] - ETA: 5:21 - loss: 258.8741 - logits_profile_predictions_loss: 255.8936 - logcount_predictions_loss: 0.2812 43/1102 [>.............................] - ETA: 5:21 - loss: 258.9209 - logits_profile_predictions_loss: 255.9400 - logcount_predictions_loss: 0.2812 44/1102 [>.............................] - ETA: 5:21 - loss: 258.9636 - logits_profile_predictions_loss: 255.9825 - logcount_predictions_loss: 0.2812 45/1102 [>.............................] - ETA: 5:21 - loss: 258.9994 - logits_profile_predictions_loss: 256.0179 - logcount_predictions_loss: 0.2813 46/1102 [>.............................] - ETA: 5:20 - loss: 259.0311 - logits_profile_predictions_loss: 256.0494 - logcount_predictions_loss: 0.2813 47/1102 [>.............................] - ETA: 5:20 - loss: 259.0654 - logits_profile_predictions_loss: 256.0832 - logcount_predictions_loss: 0.2813 48/1102 [>.............................] - ETA: 5:20 - loss: 259.1017 - logits_profile_predictions_loss: 256.1188 - logcount_predictions_loss: 0.2814 49/1102 [>.............................] - ETA: 5:19 - loss: 259.1449 - logits_profile_predictions_loss: 256.1615 - logcount_predictions_loss: 0.2815 50/1102 [>.............................] - ETA: 5:19 - loss: 259.1819 - logits_profile_predictions_loss: 256.1977 - logcount_predictions_loss: 0.2815 51/1102 [>.............................] - ETA: 5:19 - loss: 259.2274 - logits_profile_predictions_loss: 256.2426 - logcount_predictions_loss: 0.2816 52/1102 [>.............................] - ETA: 5:18 - loss: 259.2730 - logits_profile_predictions_loss: 256.2873 - logcount_predictions_loss: 0.2817 53/1102 [>.............................] - ETA: 5:18 - loss: 259.3159 - logits_profile_predictions_loss: 256.3295 - logcount_predictions_loss: 0.2817 54/1102 [>.............................] - ETA: 5:18 - loss: 259.3488 - logits_profile_predictions_loss: 256.3618 - logcount_predictions_loss: 0.2818 55/1102 [>.............................] - ETA: 5:18 - loss: 259.3833 - logits_profile_predictions_loss: 256.3954 - logcount_predictions_loss: 0.2819 56/1102 [>.............................] - ETA: 5:17 - loss: 259.4094 - logits_profile_predictions_loss: 256.4211 - logcount_predictions_loss: 0.2819 57/1102 [>.............................] - ETA: 5:17 - loss: 259.4364 - logits_profile_predictions_loss: 256.4478 - logcount_predictions_loss: 0.2819 58/1102 [>.............................] - ETA: 5:17 - loss: 259.4589 - logits_profile_predictions_loss: 256.4696 - logcount_predictions_loss: 0.2820 59/1102 [>.............................] - ETA: 5:16 - loss: 259.4814 - logits_profile_predictions_loss: 256.4920 - logcount_predictions_loss: 0.2820 60/1102 [>.............................] - ETA: 5:16 - loss: 259.5091 - logits_profile_predictions_loss: 256.5195 - logcount_predictions_loss: 0.2820 61/1102 [>.............................] - ETA: 5:16 - loss: 259.5362 - logits_profile_predictions_loss: 256.5463 - logcount_predictions_loss: 0.2821 62/1102 [>.............................] - ETA: 5:15 - loss: 259.5613 - logits_profile_predictions_loss: 256.5710 - logcount_predictions_loss: 0.2821 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logits_profile_predictions_loss: 256.7298 - logcount_predictions_loss: 0.2825 70/1102 [>.............................] - ETA: 5:13 - loss: 259.7504 - logits_profile_predictions_loss: 256.7555 - logcount_predictions_loss: 0.2825 71/1102 [>.............................] - ETA: 5:13 - loss: 259.7795 - logits_profile_predictions_loss: 256.7841 - logcount_predictions_loss: 0.2826 72/1102 [>.............................] - ETA: 5:12 - loss: 259.8121 - logits_profile_predictions_loss: 256.8164 - logcount_predictions_loss: 0.2826 73/1102 [>.............................] - ETA: 5:12 - loss: 259.8467 - logits_profile_predictions_loss: 256.8506 - logcount_predictions_loss: 0.2826 74/1102 [=>............................] - ETA: 5:12 - loss: 259.8819 - logits_profile_predictions_loss: 256.8856 - logcount_predictions_loss: 0.2827 75/1102 [=>............................] - ETA: 5:11 - loss: 259.9142 - logits_profile_predictions_loss: 256.9175 - logcount_predictions_loss: 0.2827 76/1102 [=>............................] - ETA: 5:11 - loss: 259.9479 - logits_profile_predictions_loss: 256.9510 - logcount_predictions_loss: 0.2827 77/1102 [=>............................] - ETA: 5:11 - loss: 259.9780 - logits_profile_predictions_loss: 256.9810 - logcount_predictions_loss: 0.2827 78/1102 [=>............................] - ETA: 5:11 - loss: 260.0039 - logits_profile_predictions_loss: 257.0068 - logcount_predictions_loss: 0.2827 79/1102 [=>............................] - ETA: 5:10 - loss: 260.0340 - logits_profile_predictions_loss: 257.0370 - logcount_predictions_loss: 0.2827 80/1102 [=>............................] - ETA: 5:10 - loss: 260.0653 - logits_profile_predictions_loss: 257.0683 - logcount_predictions_loss: 0.2827 81/1102 [=>............................] - ETA: 5:10 - loss: 260.0929 - logits_profile_predictions_loss: 257.0959 - logcount_predictions_loss: 0.2827 82/1102 [=>............................] - ETA: 5:09 - loss: 260.1194 - logits_profile_predictions_loss: 257.1224 - logcount_predictions_loss: 0.2827 83/1102 [=>............................] - ETA: 5:09 - loss: 260.1451 - logits_profile_predictions_loss: 257.1481 - logcount_predictions_loss: 0.2827 84/1102 [=>............................] - ETA: 5:09 - loss: 260.1706 - logits_profile_predictions_loss: 257.1737 - logcount_predictions_loss: 0.2827 85/1102 [=>............................] - ETA: 5:08 - loss: 260.1954 - logits_profile_predictions_loss: 257.1986 - logcount_predictions_loss: 0.2827 86/1102 [=>............................] - ETA: 5:08 - loss: 260.2197 - logits_profile_predictions_loss: 257.2231 - logcount_predictions_loss: 0.2827 87/1102 [=>............................] - ETA: 5:08 - loss: 260.2454 - logits_profile_predictions_loss: 257.2491 - logcount_predictions_loss: 0.2827 88/1102 [=>............................] - ETA: 5:08 - loss: 260.2716 - logits_profile_predictions_loss: 257.2755 - logcount_predictions_loss: 0.2827 89/1102 [=>............................] - ETA: 5:07 - 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logits_profile_predictions_loss: 257.6739 - logcount_predictions_loss: 0.2825 103/1102 [=>............................] - ETA: 5:03 - loss: 260.6989 - logits_profile_predictions_loss: 257.7036 - logcount_predictions_loss: 0.2826 104/1102 [=>............................] - ETA: 5:03 - loss: 260.7275 - logits_profile_predictions_loss: 257.7320 - logcount_predictions_loss: 0.2826 105/1102 [=>............................] - ETA: 5:02 - loss: 260.7553 - logits_profile_predictions_loss: 257.7595 - logcount_predictions_loss: 0.2826 106/1102 [=>............................] - ETA: 5:02 - loss: 260.7839 - logits_profile_predictions_loss: 257.7879 - logcount_predictions_loss: 0.2826 107/1102 [=>............................] - ETA: 5:02 - loss: 260.8110 - logits_profile_predictions_loss: 257.8148 - logcount_predictions_loss: 0.2827 108/1102 [=>............................] - ETA: 5:01 - loss: 260.8365 - logits_profile_predictions_loss: 257.8403 - logcount_predictions_loss: 0.2827 109/1102 [=>............................] - ETA: 5:01 - loss: 260.8619 - logits_profile_predictions_loss: 257.8656 - logcount_predictions_loss: 0.2827 110/1102 [=>............................] - ETA: 5:01 - loss: 260.8869 - logits_profile_predictions_loss: 257.8906 - logcount_predictions_loss: 0.2827 111/1102 [==>...........................] - ETA: 5:01 - loss: 260.9110 - logits_profile_predictions_loss: 257.9146 - logcount_predictions_loss: 0.2827 112/1102 [==>...........................] - ETA: 5:00 - loss: 260.9339 - logits_profile_predictions_loss: 257.9375 - logcount_predictions_loss: 0.2827 113/1102 [==>...........................] - ETA: 5:00 - loss: 260.9557 - logits_profile_predictions_loss: 257.9592 - logcount_predictions_loss: 0.2827 114/1102 [==>...........................] - ETA: 5:00 - loss: 260.9780 - logits_profile_predictions_loss: 257.9813 - logcount_predictions_loss: 0.2827 115/1102 [==>...........................] - ETA: 4:59 - loss: 260.9998 - logits_profile_predictions_loss: 258.0031 - logcount_predictions_loss: 0.2827 116/1102 [==>...........................] - ETA: 4:59 - loss: 261.0203 - logits_profile_predictions_loss: 258.0235 - logcount_predictions_loss: 0.2827 117/1102 [==>...........................] - ETA: 4:59 - loss: 261.0399 - logits_profile_predictions_loss: 258.0430 - logcount_predictions_loss: 0.2827 118/1102 [==>...........................] - ETA: 4:58 - loss: 261.0576 - logits_profile_predictions_loss: 258.0605 - logcount_predictions_loss: 0.2827 119/1102 [==>...........................] - ETA: 4:58 - loss: 261.0756 - logits_profile_predictions_loss: 258.0784 - logcount_predictions_loss: 0.2828 120/1102 [==>...........................] - ETA: 4:58 - loss: 261.0936 - logits_profile_predictions_loss: 258.0962 - logcount_predictions_loss: 0.2828 121/1102 [==>...........................] - ETA: 4:58 - loss: 261.1115 - logits_profile_predictions_loss: 258.1140 - logcount_predictions_loss: 0.2828 122/1102 [==>...........................] - ETA: 4:57 - loss: 261.1307 - logits_profile_predictions_loss: 258.1333 - logcount_predictions_loss: 0.2828 123/1102 [==>...........................] - ETA: 4:57 - loss: 261.1503 - logits_profile_predictions_loss: 258.1527 - logcount_predictions_loss: 0.2828 124/1102 [==>...........................] - ETA: 4:57 - loss: 261.1683 - logits_profile_predictions_loss: 258.1707 - logcount_predictions_loss: 0.2828 125/1102 [==>...........................] - ETA: 4:56 - loss: 261.1861 - logits_profile_predictions_loss: 258.1885 - logcount_predictions_loss: 0.2828 126/1102 [==>...........................] - ETA: 4:56 - loss: 261.2041 - logits_profile_predictions_loss: 258.2065 - logcount_predictions_loss: 0.2828 127/1102 [==>...........................] - ETA: 4:56 - loss: 261.2205 - logits_profile_predictions_loss: 258.2230 - logcount_predictions_loss: 0.2828 128/1102 [==>...........................] - ETA: 4:55 - loss: 261.2364 - 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[==>...........................] - ETA: 4:53 - loss: 261.3341 - logits_profile_predictions_loss: 258.3386 - logcount_predictions_loss: 0.2826 136/1102 [==>...........................] - ETA: 4:53 - loss: 261.3477 - logits_profile_predictions_loss: 258.3525 - logcount_predictions_loss: 0.2826 137/1102 [==>...........................] - ETA: 4:53 - loss: 261.3609 - logits_profile_predictions_loss: 258.3661 - logcount_predictions_loss: 0.2825 138/1102 [==>...........................] - ETA: 4:53 - loss: 261.3743 - logits_profile_predictions_loss: 258.3798 - logcount_predictions_loss: 0.2825 139/1102 [==>...........................] - ETA: 4:52 - loss: 261.3869 - logits_profile_predictions_loss: 258.3928 - logcount_predictions_loss: 0.2825 140/1102 [==>...........................] - ETA: 4:52 - loss: 261.3985 - logits_profile_predictions_loss: 258.4047 - logcount_predictions_loss: 0.2824 141/1102 [==>...........................] - ETA: 4:52 - loss: 261.4101 - 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[===>..........................] - ETA: 4:49 - loss: 261.5049 - logits_profile_predictions_loss: 258.5141 - logcount_predictions_loss: 0.2821 149/1102 [===>..........................] - ETA: 4:49 - loss: 261.5207 - logits_profile_predictions_loss: 258.5303 - logcount_predictions_loss: 0.2821 150/1102 [===>..........................] - ETA: 4:49 - loss: 261.5355 - logits_profile_predictions_loss: 258.5455 - logcount_predictions_loss: 0.2821 151/1102 [===>..........................] - ETA: 4:49 - loss: 261.5499 - logits_profile_predictions_loss: 258.5602 - logcount_predictions_loss: 0.2820 152/1102 [===>..........................] - ETA: 4:48 - loss: 261.5639 - logits_profile_predictions_loss: 258.5746 - logcount_predictions_loss: 0.2820 153/1102 [===>..........................] - ETA: 4:48 - loss: 261.5771 - logits_profile_predictions_loss: 258.5882 - logcount_predictions_loss: 0.2820 154/1102 [===>..........................] - ETA: 4:48 - loss: 261.5893 - 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[===>..........................] - ETA: 4:46 - loss: 261.6652 - logits_profile_predictions_loss: 258.6788 - logcount_predictions_loss: 0.2817 162/1102 [===>..........................] - ETA: 4:45 - loss: 261.6763 - logits_profile_predictions_loss: 258.6903 - logcount_predictions_loss: 0.2817 163/1102 [===>..........................] - ETA: 4:45 - loss: 261.6883 - logits_profile_predictions_loss: 258.7026 - logcount_predictions_loss: 0.2817 164/1102 [===>..........................] - ETA: 4:45 - loss: 261.6989 - logits_profile_predictions_loss: 258.7135 - logcount_predictions_loss: 0.2816 165/1102 [===>..........................] - ETA: 4:44 - loss: 261.7092 - logits_profile_predictions_loss: 258.7242 - logcount_predictions_loss: 0.2816 166/1102 [===>..........................] - ETA: 4:44 - loss: 261.7194 - logits_profile_predictions_loss: 258.7347 - logcount_predictions_loss: 0.2816 167/1102 [===>..........................] - ETA: 4:44 - loss: 261.7295 - 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[===>..........................] - ETA: 4:42 - loss: 261.8012 - logits_profile_predictions_loss: 258.8193 - logcount_predictions_loss: 0.2813 175/1102 [===>..........................] - ETA: 4:41 - loss: 261.8112 - logits_profile_predictions_loss: 258.8297 - logcount_predictions_loss: 0.2813 176/1102 [===>..........................] - ETA: 4:41 - loss: 261.8213 - logits_profile_predictions_loss: 258.8401 - logcount_predictions_loss: 0.2812 177/1102 [===>..........................] - ETA: 4:41 - loss: 261.8319 - logits_profile_predictions_loss: 258.8511 - logcount_predictions_loss: 0.2812 178/1102 [===>..........................] - ETA: 4:40 - loss: 261.8418 - logits_profile_predictions_loss: 258.8613 - logcount_predictions_loss: 0.2812 179/1102 [===>..........................] - ETA: 4:40 - loss: 261.8519 - logits_profile_predictions_loss: 258.8717 - logcount_predictions_loss: 0.2811 180/1102 [===>..........................] - ETA: 4:40 - loss: 261.8618 - 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[====>.........................] - ETA: 4:38 - loss: 261.9243 - logits_profile_predictions_loss: 258.9468 - logcount_predictions_loss: 0.2809 188/1102 [====>.........................] - ETA: 4:37 - loss: 261.9326 - logits_profile_predictions_loss: 258.9555 - logcount_predictions_loss: 0.2809 189/1102 [====>.........................] - ETA: 4:37 - loss: 261.9410 - logits_profile_predictions_loss: 258.9643 - logcount_predictions_loss: 0.2808 190/1102 [====>.........................] - ETA: 4:37 - loss: 261.9493 - logits_profile_predictions_loss: 258.9728 - logcount_predictions_loss: 0.2808 191/1102 [====>.........................] - ETA: 4:36 - loss: 261.9574 - logits_profile_predictions_loss: 258.9813 - logcount_predictions_loss: 0.2808 192/1102 [====>.........................] - ETA: 4:36 - loss: 261.9654 - logits_profile_predictions_loss: 258.9895 - logcount_predictions_loss: 0.2807 193/1102 [====>.........................] - ETA: 4:36 - loss: 261.9743 - 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[====>.........................] - ETA: 4:34 - loss: 262.0385 - logits_profile_predictions_loss: 259.0647 - logcount_predictions_loss: 0.2805 201/1102 [====>.........................] - ETA: 4:33 - loss: 262.0480 - logits_profile_predictions_loss: 259.0745 - logcount_predictions_loss: 0.2805 202/1102 [====>.........................] - ETA: 4:33 - loss: 262.0574 - logits_profile_predictions_loss: 259.0840 - logcount_predictions_loss: 0.2805 203/1102 [====>.........................] - ETA: 4:33 - loss: 262.0675 - logits_profile_predictions_loss: 259.0943 - logcount_predictions_loss: 0.2805 204/1102 [====>.........................] - ETA: 4:32 - loss: 262.0770 - logits_profile_predictions_loss: 259.1041 - logcount_predictions_loss: 0.2805 205/1102 [====>.........................] - ETA: 4:32 - loss: 262.0869 - logits_profile_predictions_loss: 259.1142 - logcount_predictions_loss: 0.2804 206/1102 [====>.........................] - ETA: 4:32 - loss: 262.0966 - 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loss: 263.1780 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1080/1102 [============================>.] - ETA: 6s - loss: 263.1780 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1081/1102 [============================>.] - ETA: 6s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1082/1102 [============================>.] - ETA: 6s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1083/1102 [============================>.] - ETA: 5s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1084/1102 [============================>.] - ETA: 5s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1085/1102 [============================>.] - ETA: 5s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1086/1102 [============================>.] - ETA: 4s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1087/1102 [============================>.] - ETA: 4s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1088/1102 [============================>.] - ETA: 4s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1089/1102 [============================>.] - ETA: 3s - loss: 263.1779 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1090/1102 [============================>.] - ETA: 3s - loss: 263.1778 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1091/1102 [============================>.] - ETA: 3s - loss: 263.1778 - logits_profile_predictions_loss: 260.2250 - logcount_predictions_loss: 0.2786 1092/1102 [============================>.] - ETA: 3s - loss: 263.1777 - logits_profile_predictions_loss: 260.2249 - logcount_predictions_loss: 0.2786 1093/1102 [============================>.] - ETA: 2s - loss: 263.1776 - logits_profile_predictions_loss: 260.2249 - logcount_predictions_loss: 0.2786 1094/1102 [============================>.] - ETA: 2s - loss: 263.1776 - logits_profile_predictions_loss: 260.2248 - logcount_predictions_loss: 0.2786 1095/1102 [============================>.] - ETA: 2s - loss: 263.1775 - logits_profile_predictions_loss: 260.2248 - logcount_predictions_loss: 0.2786 1096/1102 [============================>.] - ETA: 1s - loss: 263.1774 - logits_profile_predictions_loss: 260.2247 - logcount_predictions_loss: 0.2786 1097/1102 [============================>.] - ETA: 1s - loss: 263.1773 - logits_profile_predictions_loss: 260.2246 - logcount_predictions_loss: 0.2786 1098/1102 [============================>.] - ETA: 1s - loss: 263.1772 - logits_profile_predictions_loss: 260.2246 - logcount_predictions_loss: 0.2786 1099/1102 [============================>.] - ETA: 0s - loss: 263.1772 - logits_profile_predictions_loss: 260.2246 - logcount_predictions_loss: 0.2786 1100/1102 [============================>.] - ETA: 0s - loss: 263.1771 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 1101/1102 [============================>.] - ETA: 0s - loss: 263.1771 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 1102/1102 [==============================] - ETA: 0s - loss: 263.1771 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 1102/1102 [==============================] - 348s 315ms/step - loss: 263.1770 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 - val_loss: 275.0938 - val_logits_profile_predictions_loss: 271.8298 - val_logcount_predictions_loss: 0.3079 + +Epoch 00008: val_loss did not improve from 274.00116 +Epoch 9/50 + 1/1102 [..............................] - ETA: 5:47 - loss: 262.7162 - logits_profile_predictions_loss: 260.3890 - logcount_predictions_loss: 0.2196 2/1102 [..............................] - ETA: 5:33 - loss: 263.6488 - logits_profile_predictions_loss: 261.4400 - logcount_predictions_loss: 0.2084 3/1102 [..............................] - ETA: 5:33 - loss: 264.0954 - logits_profile_predictions_loss: 261.8752 - logcount_predictions_loss: 0.2095 4/1102 [..............................] - ETA: 5:33 - loss: 263.0797 - logits_profile_predictions_loss: 260.7783 - logcount_predictions_loss: 0.2171 5/1102 [..............................] - ETA: 5:33 - loss: 262.0712 - logits_profile_predictions_loss: 259.7058 - logcount_predictions_loss: 0.2232 6/1102 [..............................] - ETA: 5:32 - loss: 262.4552 - logits_profile_predictions_loss: 259.9781 - logcount_predictions_loss: 0.2337 7/1102 [..............................] - ETA: 5:32 - loss: 263.2836 - logits_profile_predictions_loss: 260.7394 - logcount_predictions_loss: 0.2400 8/1102 [..............................] - ETA: 5:32 - loss: 263.5924 - logits_profile_predictions_loss: 261.0091 - logcount_predictions_loss: 0.2437 9/1102 [..............................] - ETA: 5:31 - loss: 263.5836 - logits_profile_predictions_loss: 260.9703 - logcount_predictions_loss: 0.2465 10/1102 [..............................] - ETA: 5:31 - loss: 263.3839 - logits_profile_predictions_loss: 260.7562 - logcount_predictions_loss: 0.2479 11/1102 [..............................] - ETA: 5:31 - loss: 263.2321 - logits_profile_predictions_loss: 260.5908 - logcount_predictions_loss: 0.2492 12/1102 [..............................] - ETA: 5:31 - loss: 263.0177 - logits_profile_predictions_loss: 260.3701 - logcount_predictions_loss: 0.2498 13/1102 [..............................] - ETA: 5:30 - loss: 262.7975 - logits_profile_predictions_loss: 260.1475 - logcount_predictions_loss: 0.2500 14/1102 [..............................] - ETA: 5:30 - loss: 262.7941 - logits_profile_predictions_loss: 260.1419 - logcount_predictions_loss: 0.2502 15/1102 [..............................] - ETA: 5:30 - loss: 262.8543 - logits_profile_predictions_loss: 260.2039 - logcount_predictions_loss: 0.2500 16/1102 [..............................] - ETA: 5:29 - loss: 262.7995 - logits_profile_predictions_loss: 260.1506 - logcount_predictions_loss: 0.2499 17/1102 [..............................] - ETA: 5:29 - loss: 262.7802 - logits_profile_predictions_loss: 260.1348 - logcount_predictions_loss: 0.2496 18/1102 [..............................] - ETA: 5:29 - loss: 262.7786 - logits_profile_predictions_loss: 260.1337 - logcount_predictions_loss: 0.2495 19/1102 [..............................] - ETA: 5:28 - loss: 262.7883 - logits_profile_predictions_loss: 260.1442 - logcount_predictions_loss: 0.2494 20/1102 [..............................] - ETA: 5:28 - loss: 262.8038 - logits_profile_predictions_loss: 260.1606 - logcount_predictions_loss: 0.2493 21/1102 [..............................] - ETA: 5:28 - loss: 262.8306 - logits_profile_predictions_loss: 260.1867 - logcount_predictions_loss: 0.2494 22/1102 [..............................] - ETA: 5:28 - loss: 262.8509 - logits_profile_predictions_loss: 260.2075 - logcount_predictions_loss: 0.2494 23/1102 [..............................] - ETA: 5:27 - loss: 262.8540 - logits_profile_predictions_loss: 260.2093 - logcount_predictions_loss: 0.2495 24/1102 [..............................] - ETA: 5:27 - loss: 262.8769 - logits_profile_predictions_loss: 260.2310 - logcount_predictions_loss: 0.2496 25/1102 [..............................] - ETA: 5:27 - loss: 262.8921 - logits_profile_predictions_loss: 260.2424 - logcount_predictions_loss: 0.2500 26/1102 [..............................] - ETA: 5:26 - loss: 262.9227 - logits_profile_predictions_loss: 260.2693 - logcount_predictions_loss: 0.2503 27/1102 [..............................] - ETA: 5:26 - loss: 262.9569 - logits_profile_predictions_loss: 260.3000 - logcount_predictions_loss: 0.2507 28/1102 [..............................] - ETA: 5:26 - loss: 263.0069 - logits_profile_predictions_loss: 260.3449 - logcount_predictions_loss: 0.2511 29/1102 [..............................] - ETA: 5:25 - loss: 263.0632 - logits_profile_predictions_loss: 260.3953 - logcount_predictions_loss: 0.2517 30/1102 [..............................] - ETA: 5:25 - loss: 263.1146 - logits_profile_predictions_loss: 260.4411 - logcount_predictions_loss: 0.2522 31/1102 [..............................] - ETA: 5:25 - loss: 263.1650 - logits_profile_predictions_loss: 260.4851 - logcount_predictions_loss: 0.2528 32/1102 [..............................] - ETA: 5:25 - loss: 263.2195 - logits_profile_predictions_loss: 260.5324 - logcount_predictions_loss: 0.2535 33/1102 [..............................] - ETA: 5:24 - loss: 263.2502 - logits_profile_predictions_loss: 260.5564 - logcount_predictions_loss: 0.2541 34/1102 [..............................] - ETA: 5:24 - loss: 263.3013 - logits_profile_predictions_loss: 260.5981 - logcount_predictions_loss: 0.2550 35/1102 [..............................] - ETA: 5:24 - loss: 263.3571 - logits_profile_predictions_loss: 260.6438 - logcount_predictions_loss: 0.2560 36/1102 [..............................] - ETA: 5:23 - loss: 263.4215 - logits_profile_predictions_loss: 260.6991 - logcount_predictions_loss: 0.2568 37/1102 [>.............................] - ETA: 5:23 - loss: 263.4934 - logits_profile_predictions_loss: 260.7625 - logcount_predictions_loss: 0.2576 38/1102 [>.............................] - ETA: 5:23 - loss: 263.5549 - logits_profile_predictions_loss: 260.8155 - logcount_predictions_loss: 0.2584 39/1102 [>.............................] - ETA: 5:23 - loss: 263.6106 - logits_profile_predictions_loss: 260.8637 - logcount_predictions_loss: 0.2591 40/1102 [>.............................] - ETA: 5:22 - loss: 263.6622 - logits_profile_predictions_loss: 260.9081 - logcount_predictions_loss: 0.2598 41/1102 [>.............................] - ETA: 5:22 - loss: 263.6877 - logits_profile_predictions_loss: 260.9268 - logcount_predictions_loss: 0.2605 42/1102 [>.............................] - ETA: 5:22 - loss: 263.7071 - logits_profile_predictions_loss: 260.9401 - logcount_predictions_loss: 0.2610 43/1102 [>.............................] - ETA: 5:21 - loss: 263.7210 - logits_profile_predictions_loss: 260.9480 - logcount_predictions_loss: 0.2616 44/1102 [>.............................] - ETA: 5:21 - loss: 263.7209 - logits_profile_predictions_loss: 260.9428 - logcount_predictions_loss: 0.2621 45/1102 [>.............................] - ETA: 5:21 - loss: 263.7247 - logits_profile_predictions_loss: 260.9417 - logcount_predictions_loss: 0.2626 46/1102 [>.............................] - ETA: 5:20 - loss: 263.7184 - logits_profile_predictions_loss: 260.9312 - logcount_predictions_loss: 0.2629 47/1102 [>.............................] - ETA: 5:20 - loss: 263.7109 - logits_profile_predictions_loss: 260.9197 - logcount_predictions_loss: 0.2633 48/1102 [>.............................] - ETA: 5:20 - loss: 263.6844 - logits_profile_predictions_loss: 260.8896 - logcount_predictions_loss: 0.2637 49/1102 [>.............................] - ETA: 5:20 - loss: 263.6601 - logits_profile_predictions_loss: 260.8617 - logcount_predictions_loss: 0.2640 50/1102 [>.............................] - ETA: 5:19 - loss: 263.6354 - logits_profile_predictions_loss: 260.8337 - logcount_predictions_loss: 0.2643 51/1102 [>.............................] - ETA: 5:19 - loss: 263.6039 - logits_profile_predictions_loss: 260.7993 - logcount_predictions_loss: 0.2646 52/1102 [>.............................] - ETA: 5:19 - loss: 263.5692 - logits_profile_predictions_loss: 260.7618 - logcount_predictions_loss: 0.2649 53/1102 [>.............................] - ETA: 5:18 - loss: 263.5391 - logits_profile_predictions_loss: 260.7289 - logcount_predictions_loss: 0.2651 54/1102 [>.............................] - ETA: 5:18 - loss: 263.5016 - logits_profile_predictions_loss: 260.6892 - logcount_predictions_loss: 0.2653 55/1102 [>.............................] - ETA: 5:18 - loss: 263.4700 - logits_profile_predictions_loss: 260.6553 - logcount_predictions_loss: 0.2655 56/1102 [>.............................] - ETA: 5:17 - loss: 263.4394 - logits_profile_predictions_loss: 260.6227 - logcount_predictions_loss: 0.2657 57/1102 [>.............................] - ETA: 5:17 - loss: 263.4119 - logits_profile_predictions_loss: 260.5931 - logcount_predictions_loss: 0.2659 58/1102 [>.............................] - ETA: 5:17 - loss: 263.3867 - logits_profile_predictions_loss: 260.5662 - logcount_predictions_loss: 0.2661 59/1102 [>.............................] - ETA: 5:16 - loss: 263.3717 - logits_profile_predictions_loss: 260.5497 - logcount_predictions_loss: 0.2662 60/1102 [>.............................] - ETA: 5:16 - loss: 263.3661 - logits_profile_predictions_loss: 260.5429 - logcount_predictions_loss: 0.2663 61/1102 [>.............................] - ETA: 5:16 - loss: 263.3623 - logits_profile_predictions_loss: 260.5377 - logcount_predictions_loss: 0.2665 62/1102 [>.............................] - ETA: 5:16 - loss: 263.3646 - logits_profile_predictions_loss: 260.5388 - logcount_predictions_loss: 0.2666 63/1102 [>.............................] - ETA: 5:15 - loss: 263.3639 - logits_profile_predictions_loss: 260.5368 - logcount_predictions_loss: 0.2667 64/1102 [>.............................] - ETA: 5:15 - loss: 263.3610 - logits_profile_predictions_loss: 260.5325 - logcount_predictions_loss: 0.2668 65/1102 [>.............................] - ETA: 5:15 - loss: 263.3606 - logits_profile_predictions_loss: 260.5309 - logcount_predictions_loss: 0.2670 66/1102 [>.............................] - ETA: 5:14 - loss: 263.3595 - logits_profile_predictions_loss: 260.5284 - logcount_predictions_loss: 0.2671 67/1102 [>.............................] - ETA: 5:14 - loss: 263.3553 - logits_profile_predictions_loss: 260.5231 - logcount_predictions_loss: 0.2672 68/1102 [>.............................] - ETA: 5:14 - loss: 263.3484 - logits_profile_predictions_loss: 260.5151 - logcount_predictions_loss: 0.2673 69/1102 [>.............................] - ETA: 5:13 - loss: 263.3443 - logits_profile_predictions_loss: 260.5100 - logcount_predictions_loss: 0.2674 70/1102 [>.............................] - ETA: 5:13 - loss: 263.3391 - logits_profile_predictions_loss: 260.5040 - logcount_predictions_loss: 0.2675 71/1102 [>.............................] - ETA: 5:13 - loss: 263.3328 - logits_profile_predictions_loss: 260.4972 - logcount_predictions_loss: 0.2675 72/1102 [>.............................] - ETA: 5:13 - loss: 263.3294 - logits_profile_predictions_loss: 260.4933 - logcount_predictions_loss: 0.2676 73/1102 [>.............................] - ETA: 5:12 - loss: 263.3247 - logits_profile_predictions_loss: 260.4881 - logcount_predictions_loss: 0.2676 74/1102 [=>............................] - ETA: 5:12 - loss: 263.3223 - logits_profile_predictions_loss: 260.4853 - logcount_predictions_loss: 0.2676 75/1102 [=>............................] - ETA: 5:12 - loss: 263.3211 - logits_profile_predictions_loss: 260.4836 - logcount_predictions_loss: 0.2677 76/1102 [=>............................] - ETA: 5:11 - loss: 263.3212 - logits_profile_predictions_loss: 260.4835 - logcount_predictions_loss: 0.2677 77/1102 [=>............................] - ETA: 5:11 - loss: 263.3219 - logits_profile_predictions_loss: 260.4838 - logcount_predictions_loss: 0.2677 78/1102 [=>............................] - ETA: 5:11 - loss: 263.3229 - logits_profile_predictions_loss: 260.4844 - logcount_predictions_loss: 0.2678 79/1102 [=>............................] - ETA: 5:10 - loss: 263.3230 - logits_profile_predictions_loss: 260.4842 - logcount_predictions_loss: 0.2678 80/1102 [=>............................] - ETA: 5:10 - loss: 263.3232 - logits_profile_predictions_loss: 260.4840 - logcount_predictions_loss: 0.2678 81/1102 [=>............................] - ETA: 5:10 - loss: 263.3208 - logits_profile_predictions_loss: 260.4813 - logcount_predictions_loss: 0.2679 82/1102 [=>............................] - ETA: 5:10 - loss: 263.3152 - logits_profile_predictions_loss: 260.4753 - logcount_predictions_loss: 0.2679 83/1102 [=>............................] - ETA: 5:09 - loss: 263.3088 - logits_profile_predictions_loss: 260.4685 - logcount_predictions_loss: 0.2680 84/1102 [=>............................] - ETA: 5:09 - loss: 263.3044 - logits_profile_predictions_loss: 260.4636 - logcount_predictions_loss: 0.2680 85/1102 [=>............................] - ETA: 5:09 - loss: 263.3034 - logits_profile_predictions_loss: 260.4621 - logcount_predictions_loss: 0.2680 86/1102 [=>............................] - ETA: 5:08 - loss: 263.3040 - logits_profile_predictions_loss: 260.4621 - logcount_predictions_loss: 0.2681 87/1102 [=>............................] - ETA: 5:08 - loss: 263.3066 - logits_profile_predictions_loss: 260.4642 - logcount_predictions_loss: 0.2682 88/1102 [=>............................] - ETA: 5:08 - loss: 263.3070 - logits_profile_predictions_loss: 260.4641 - logcount_predictions_loss: 0.2682 89/1102 [=>............................] - ETA: 5:07 - loss: 263.3066 - logits_profile_predictions_loss: 260.4633 - logcount_predictions_loss: 0.2682 90/1102 [=>............................] - ETA: 5:07 - loss: 263.3036 - logits_profile_predictions_loss: 260.4599 - logcount_predictions_loss: 0.2683 91/1102 [=>............................] - ETA: 5:07 - loss: 263.3031 - logits_profile_predictions_loss: 260.4589 - logcount_predictions_loss: 0.2683 92/1102 [=>............................] - ETA: 5:07 - loss: 263.3026 - logits_profile_predictions_loss: 260.4579 - logcount_predictions_loss: 0.2684 93/1102 [=>............................] - ETA: 5:06 - loss: 263.2998 - logits_profile_predictions_loss: 260.4547 - logcount_predictions_loss: 0.2684 94/1102 [=>............................] - ETA: 5:06 - loss: 263.2986 - logits_profile_predictions_loss: 260.4531 - logcount_predictions_loss: 0.2684 95/1102 [=>............................] - ETA: 5:06 - loss: 263.2962 - logits_profile_predictions_loss: 260.4504 - logcount_predictions_loss: 0.2685 96/1102 [=>............................] - ETA: 5:05 - loss: 263.2951 - logits_profile_predictions_loss: 260.4490 - logcount_predictions_loss: 0.2685 97/1102 [=>............................] - ETA: 5:05 - loss: 263.2942 - logits_profile_predictions_loss: 260.4477 - logcount_predictions_loss: 0.2685 98/1102 [=>............................] - ETA: 5:05 - loss: 263.2896 - logits_profile_predictions_loss: 260.4427 - logcount_predictions_loss: 0.2686 99/1102 [=>............................] - ETA: 5:04 - loss: 263.2856 - logits_profile_predictions_loss: 260.4385 - logcount_predictions_loss: 0.2686 100/1102 [=>............................] - ETA: 5:04 - loss: 263.2798 - logits_profile_predictions_loss: 260.4324 - logcount_predictions_loss: 0.2686 101/1102 [=>............................] - ETA: 5:04 - loss: 263.2736 - logits_profile_predictions_loss: 260.4260 - logcount_predictions_loss: 0.2686 102/1102 [=>............................] - ETA: 5:03 - loss: 263.2669 - logits_profile_predictions_loss: 260.4191 - logcount_predictions_loss: 0.2687 103/1102 [=>............................] - ETA: 5:03 - loss: 263.2615 - logits_profile_predictions_loss: 260.4135 - logcount_predictions_loss: 0.2687 104/1102 [=>............................] - ETA: 5:03 - loss: 263.2550 - logits_profile_predictions_loss: 260.4068 - logcount_predictions_loss: 0.2687 105/1102 [=>............................] - ETA: 5:03 - loss: 263.2470 - logits_profile_predictions_loss: 260.3986 - logcount_predictions_loss: 0.2687 106/1102 [=>............................] - ETA: 5:02 - loss: 263.2412 - logits_profile_predictions_loss: 260.3926 - logcount_predictions_loss: 0.2687 107/1102 [=>............................] - ETA: 5:02 - loss: 263.2356 - logits_profile_predictions_loss: 260.3868 - logcount_predictions_loss: 0.2688 108/1102 [=>............................] - ETA: 5:02 - loss: 263.2306 - logits_profile_predictions_loss: 260.3818 - logcount_predictions_loss: 0.2688 109/1102 [=>............................] - ETA: 5:01 - loss: 263.2244 - logits_profile_predictions_loss: 260.3756 - logcount_predictions_loss: 0.2688 110/1102 [=>............................] - ETA: 5:01 - loss: 263.2187 - logits_profile_predictions_loss: 260.3699 - logcount_predictions_loss: 0.2688 111/1102 [==>...........................] - ETA: 5:01 - loss: 263.2110 - logits_profile_predictions_loss: 260.3622 - logcount_predictions_loss: 0.2688 112/1102 [==>...........................] - ETA: 5:00 - loss: 263.2039 - logits_profile_predictions_loss: 260.3552 - logcount_predictions_loss: 0.2687 113/1102 [==>...........................] - ETA: 5:00 - loss: 263.1953 - 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logits_profile_predictions_loss: 260.2490 - logcount_predictions_loss: 0.2683 140/1102 [==>...........................] - ETA: 4:52 - loss: 263.0890 - logits_profile_predictions_loss: 260.2447 - logcount_predictions_loss: 0.2683 141/1102 [==>...........................] - ETA: 4:52 - loss: 263.0862 - logits_profile_predictions_loss: 260.2421 - logcount_predictions_loss: 0.2683 142/1102 [==>...........................] - ETA: 4:51 - loss: 263.0823 - logits_profile_predictions_loss: 260.2383 - logcount_predictions_loss: 0.2683 143/1102 [==>...........................] - ETA: 4:51 - loss: 263.0781 - logits_profile_predictions_loss: 260.2344 - logcount_predictions_loss: 0.2683 144/1102 [==>...........................] - ETA: 4:51 - loss: 263.0741 - logits_profile_predictions_loss: 260.2305 - logcount_predictions_loss: 0.2683 145/1102 [==>...........................] - ETA: 4:50 - loss: 263.0707 - logits_profile_predictions_loss: 260.2274 - logcount_predictions_loss: 0.2682 146/1102 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logits_profile_predictions_loss: 260.2043 - logcount_predictions_loss: 0.2682 153/1102 [===>..........................] - ETA: 4:48 - loss: 263.0443 - logits_profile_predictions_loss: 260.2021 - logcount_predictions_loss: 0.2681 154/1102 [===>..........................] - ETA: 4:48 - loss: 263.0404 - logits_profile_predictions_loss: 260.1983 - logcount_predictions_loss: 0.2681 155/1102 [===>..........................] - ETA: 4:47 - loss: 263.0374 - logits_profile_predictions_loss: 260.1954 - logcount_predictions_loss: 0.2681 156/1102 [===>..........................] - ETA: 4:47 - loss: 263.0342 - logits_profile_predictions_loss: 260.1922 - logcount_predictions_loss: 0.2681 157/1102 [===>..........................] - ETA: 4:47 - loss: 263.0311 - logits_profile_predictions_loss: 260.1892 - logcount_predictions_loss: 0.2681 158/1102 [===>..........................] - ETA: 4:47 - loss: 263.0274 - logits_profile_predictions_loss: 260.1856 - logcount_predictions_loss: 0.2681 159/1102 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[====>.........................] - ETA: 4:30 - loss: 262.8539 - logits_profile_predictions_loss: 260.0160 - logcount_predictions_loss: 0.2677 212/1102 [====>.........................] - ETA: 4:30 - loss: 262.8526 - logits_profile_predictions_loss: 260.0148 - logcount_predictions_loss: 0.2677 213/1102 [====>.........................] - ETA: 4:30 - loss: 262.8516 - logits_profile_predictions_loss: 260.0140 - logcount_predictions_loss: 0.2677 214/1102 [====>.........................] - ETA: 4:30 - loss: 262.8507 - logits_profile_predictions_loss: 260.0133 - logcount_predictions_loss: 0.2677 215/1102 [====>.........................] - ETA: 4:29 - loss: 262.8498 - logits_profile_predictions_loss: 260.0125 - logcount_predictions_loss: 0.2677 216/1102 [====>.........................] - ETA: 4:29 - loss: 262.8487 - logits_profile_predictions_loss: 260.0116 - logcount_predictions_loss: 0.2677 217/1102 [====>.........................] - ETA: 4:29 - loss: 262.8472 - logits_profile_predictions_loss: 260.0102 - logcount_predictions_loss: 0.2676 218/1102 [====>.........................] - ETA: 4:28 - loss: 262.8454 - logits_profile_predictions_loss: 260.0086 - logcount_predictions_loss: 0.2676 219/1102 [====>.........................] - ETA: 4:28 - loss: 262.8434 - logits_profile_predictions_loss: 260.0067 - logcount_predictions_loss: 0.2676 220/1102 [====>.........................] - ETA: 4:28 - loss: 262.8411 - logits_profile_predictions_loss: 260.0046 - logcount_predictions_loss: 0.2676 221/1102 [=====>........................] - ETA: 4:27 - loss: 262.8384 - logits_profile_predictions_loss: 260.0021 - logcount_predictions_loss: 0.2676 222/1102 [=====>........................] - ETA: 4:27 - loss: 262.8359 - logits_profile_predictions_loss: 259.9999 - logcount_predictions_loss: 0.2676 223/1102 [=====>........................] - ETA: 4:27 - loss: 262.8330 - logits_profile_predictions_loss: 259.9972 - logcount_predictions_loss: 0.2675 224/1102 [=====>........................] - ETA: 4:26 - loss: 262.8304 - logits_profile_predictions_loss: 259.9947 - logcount_predictions_loss: 0.2675 225/1102 [=====>........................] - ETA: 4:26 - loss: 262.8282 - logits_profile_predictions_loss: 259.9927 - logcount_predictions_loss: 0.2675 226/1102 [=====>........................] - ETA: 4:26 - loss: 262.8263 - logits_profile_predictions_loss: 259.9911 - logcount_predictions_loss: 0.2675 227/1102 [=====>........................] - ETA: 4:26 - loss: 262.8241 - logits_profile_predictions_loss: 259.9891 - logcount_predictions_loss: 0.2675 228/1102 [=====>........................] - ETA: 4:25 - loss: 262.8219 - logits_profile_predictions_loss: 259.9872 - logcount_predictions_loss: 0.2674 229/1102 [=====>........................] - ETA: 4:25 - loss: 262.8202 - logits_profile_predictions_loss: 259.9857 - logcount_predictions_loss: 0.2674 230/1102 [=====>........................] - ETA: 4:25 - loss: 262.8184 - logits_profile_predictions_loss: 259.9841 - logcount_predictions_loss: 0.2674 231/1102 [=====>........................] - ETA: 4:24 - loss: 262.8167 - logits_profile_predictions_loss: 259.9827 - logcount_predictions_loss: 0.2674 232/1102 [=====>........................] - ETA: 4:24 - loss: 262.8153 - logits_profile_predictions_loss: 259.9816 - logcount_predictions_loss: 0.2673 233/1102 [=====>........................] - ETA: 4:24 - loss: 262.8137 - logits_profile_predictions_loss: 259.9801 - logcount_predictions_loss: 0.2673 234/1102 [=====>........................] - ETA: 4:23 - loss: 262.8121 - logits_profile_predictions_loss: 259.9788 - logcount_predictions_loss: 0.2673 235/1102 [=====>........................] - ETA: 4:23 - loss: 262.8100 - logits_profile_predictions_loss: 259.9770 - logcount_predictions_loss: 0.2673 236/1102 [=====>........................] - ETA: 4:23 - loss: 262.8079 - logits_profile_predictions_loss: 259.9751 - logcount_predictions_loss: 0.2672 237/1102 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logits_profile_predictions_loss: 259.1096 - logcount_predictions_loss: 0.2611 - val_loss: 275.6668 - val_logits_profile_predictions_loss: 272.4924 - val_logcount_predictions_loss: 0.2995 + +Epoch 00009: val_loss did not improve from 274.00116 +Epoch 10/50 + 1/1102 [..............................] - ETA: 5:48 - loss: 248.6591 - logits_profile_predictions_loss: 246.5042 - logcount_predictions_loss: 0.2033 2/1102 [..............................] - ETA: 5:33 - loss: 261.3386 - logits_profile_predictions_loss: 258.8865 - logcount_predictions_loss: 0.2313 3/1102 [..............................] - ETA: 5:33 - loss: 261.0032 - logits_profile_predictions_loss: 258.3952 - logcount_predictions_loss: 0.2460 4/1102 [..............................] - ETA: 5:33 - loss: 263.4215 - logits_profile_predictions_loss: 260.7826 - logcount_predictions_loss: 0.2490 5/1102 [..............................] - ETA: 5:32 - loss: 264.1524 - logits_profile_predictions_loss: 261.5191 - logcount_predictions_loss: 0.2484 6/1102 [..............................] - ETA: 5:32 - loss: 263.9206 - logits_profile_predictions_loss: 261.2819 - logcount_predictions_loss: 0.2489 7/1102 [..............................] - ETA: 5:32 - loss: 263.6402 - logits_profile_predictions_loss: 260.9824 - logcount_predictions_loss: 0.2507 8/1102 [..............................] - ETA: 5:31 - loss: 263.0363 - logits_profile_predictions_loss: 260.3694 - logcount_predictions_loss: 0.2516 9/1102 [..............................] - ETA: 5:31 - loss: 262.7601 - logits_profile_predictions_loss: 260.0942 - logcount_predictions_loss: 0.2515 10/1102 [..............................] - ETA: 5:31 - loss: 262.6845 - logits_profile_predictions_loss: 260.0151 - logcount_predictions_loss: 0.2518 11/1102 [..............................] - ETA: 5:31 - loss: 262.6546 - logits_profile_predictions_loss: 259.9783 - logcount_predictions_loss: 0.2525 12/1102 [..............................] - ETA: 5:30 - loss: 262.6233 - logits_profile_predictions_loss: 259.9397 - logcount_predictions_loss: 0.2532 13/1102 [..............................] - ETA: 5:30 - loss: 262.5347 - logits_profile_predictions_loss: 259.8494 - logcount_predictions_loss: 0.2533 14/1102 [..............................] - ETA: 5:30 - loss: 262.5198 - logits_profile_predictions_loss: 259.8310 - logcount_predictions_loss: 0.2537 15/1102 [..............................] - ETA: 5:30 - loss: 262.4798 - logits_profile_predictions_loss: 259.7901 - logcount_predictions_loss: 0.2537 16/1102 [..............................] - ETA: 5:29 - loss: 262.4392 - logits_profile_predictions_loss: 259.7510 - logcount_predictions_loss: 0.2536 17/1102 [..............................] - ETA: 5:29 - loss: 262.4389 - logits_profile_predictions_loss: 259.7542 - logcount_predictions_loss: 0.2533 18/1102 [..............................] - ETA: 5:29 - loss: 262.4255 - logits_profile_predictions_loss: 259.7454 - logcount_predictions_loss: 0.2528 19/1102 [..............................] - ETA: 5:28 - loss: 262.4346 - logits_profile_predictions_loss: 259.7603 - logcount_predictions_loss: 0.2523 20/1102 [..............................] - ETA: 5:28 - loss: 262.4068 - logits_profile_predictions_loss: 259.7380 - logcount_predictions_loss: 0.2518 21/1102 [..............................] - ETA: 5:28 - loss: 262.3671 - logits_profile_predictions_loss: 259.7046 - logcount_predictions_loss: 0.2512 22/1102 [..............................] - ETA: 5:27 - loss: 262.3495 - logits_profile_predictions_loss: 259.6924 - logcount_predictions_loss: 0.2507 23/1102 [..............................] - ETA: 5:27 - loss: 262.3959 - logits_profile_predictions_loss: 259.7428 - logcount_predictions_loss: 0.2503 24/1102 [..............................] - ETA: 5:27 - loss: 262.4740 - logits_profile_predictions_loss: 259.8252 - logcount_predictions_loss: 0.2499 25/1102 [..............................] - ETA: 5:27 - loss: 262.5367 - logits_profile_predictions_loss: 259.8919 - logcount_predictions_loss: 0.2495 26/1102 [..............................] - ETA: 5:26 - loss: 262.6157 - logits_profile_predictions_loss: 259.9753 - logcount_predictions_loss: 0.2491 27/1102 [..............................] - ETA: 5:26 - loss: 262.7227 - logits_profile_predictions_loss: 260.0872 - logcount_predictions_loss: 0.2486 28/1102 [..............................] - ETA: 5:26 - loss: 262.8193 - logits_profile_predictions_loss: 260.1882 - logcount_predictions_loss: 0.2482 29/1102 [..............................] - ETA: 5:25 - loss: 262.8685 - logits_profile_predictions_loss: 260.2416 - logcount_predictions_loss: 0.2478 30/1102 [..............................] - ETA: 5:25 - loss: 262.9201 - logits_profile_predictions_loss: 260.2977 - logcount_predictions_loss: 0.2474 31/1102 [..............................] - ETA: 5:25 - loss: 262.9690 - logits_profile_predictions_loss: 260.3516 - logcount_predictions_loss: 0.2469 32/1102 [..............................] - ETA: 5:25 - loss: 263.0173 - logits_profile_predictions_loss: 260.4046 - logcount_predictions_loss: 0.2465 33/1102 [..............................] - ETA: 5:24 - loss: 263.0233 - logits_profile_predictions_loss: 260.4148 - logcount_predictions_loss: 0.2461 34/1102 [..............................] - ETA: 5:24 - loss: 263.0242 - logits_profile_predictions_loss: 260.4203 - logcount_predictions_loss: 0.2457 35/1102 [..............................] - ETA: 5:24 - loss: 263.0301 - logits_profile_predictions_loss: 260.4299 - logcount_predictions_loss: 0.2453 36/1102 [..............................] - ETA: 5:23 - loss: 263.0337 - logits_profile_predictions_loss: 260.4370 - logcount_predictions_loss: 0.2450 37/1102 [>.............................] - ETA: 5:23 - loss: 263.0190 - logits_profile_predictions_loss: 260.4252 - logcount_predictions_loss: 0.2447 38/1102 [>.............................] - ETA: 5:23 - loss: 262.9887 - logits_profile_predictions_loss: 260.3980 - logcount_predictions_loss: 0.2444 39/1102 [>.............................] - ETA: 5:22 - loss: 262.9528 - logits_profile_predictions_loss: 260.3652 - logcount_predictions_loss: 0.2441 40/1102 [>.............................] - ETA: 5:22 - loss: 262.8931 - logits_profile_predictions_loss: 260.3084 - logcount_predictions_loss: 0.2438 41/1102 [>.............................] - ETA: 5:22 - loss: 262.8256 - logits_profile_predictions_loss: 260.2441 - logcount_predictions_loss: 0.2435 42/1102 [>.............................] - ETA: 5:22 - loss: 262.7804 - logits_profile_predictions_loss: 260.2017 - logcount_predictions_loss: 0.2433 43/1102 [>.............................] - ETA: 5:21 - loss: 262.7204 - logits_profile_predictions_loss: 260.1447 - logcount_predictions_loss: 0.2430 44/1102 [>.............................] - ETA: 5:21 - loss: 262.6764 - logits_profile_predictions_loss: 260.1031 - logcount_predictions_loss: 0.2428 45/1102 [>.............................] - ETA: 5:21 - loss: 262.6393 - logits_profile_predictions_loss: 260.0682 - logcount_predictions_loss: 0.2426 46/1102 [>.............................] - ETA: 5:20 - loss: 262.6087 - logits_profile_predictions_loss: 260.0398 - logcount_predictions_loss: 0.2423 47/1102 [>.............................] - ETA: 5:20 - loss: 262.5747 - logits_profile_predictions_loss: 260.0082 - logcount_predictions_loss: 0.2421 48/1102 [>.............................] - ETA: 5:20 - loss: 262.5397 - logits_profile_predictions_loss: 259.9755 - logcount_predictions_loss: 0.2419 49/1102 [>.............................] - ETA: 5:19 - loss: 262.4985 - logits_profile_predictions_loss: 259.9363 - logcount_predictions_loss: 0.2417 50/1102 [>.............................] - ETA: 5:19 - loss: 262.4417 - logits_profile_predictions_loss: 259.8812 - logcount_predictions_loss: 0.2416 51/1102 [>.............................] - ETA: 5:19 - loss: 262.3856 - logits_profile_predictions_loss: 259.8269 - logcount_predictions_loss: 0.2414 52/1102 [>.............................] - ETA: 5:19 - loss: 262.3330 - logits_profile_predictions_loss: 259.7760 - logcount_predictions_loss: 0.2412 53/1102 [>.............................] - ETA: 5:18 - loss: 262.2944 - logits_profile_predictions_loss: 259.7392 - logcount_predictions_loss: 0.2411 54/1102 [>.............................] - ETA: 5:18 - loss: 262.2503 - logits_profile_predictions_loss: 259.6967 - logcount_predictions_loss: 0.2409 55/1102 [>.............................] - ETA: 5:18 - loss: 262.2057 - logits_profile_predictions_loss: 259.6537 - logcount_predictions_loss: 0.2408 56/1102 [>.............................] - ETA: 5:17 - loss: 262.1666 - logits_profile_predictions_loss: 259.6161 - logcount_predictions_loss: 0.2406 57/1102 [>.............................] - ETA: 5:17 - loss: 262.1241 - logits_profile_predictions_loss: 259.5751 - logcount_predictions_loss: 0.2405 58/1102 [>.............................] - ETA: 5:17 - loss: 262.0896 - logits_profile_predictions_loss: 259.5420 - logcount_predictions_loss: 0.2403 59/1102 [>.............................] - ETA: 5:16 - loss: 262.0564 - logits_profile_predictions_loss: 259.5102 - logcount_predictions_loss: 0.2402 60/1102 [>.............................] - ETA: 5:16 - loss: 262.0202 - logits_profile_predictions_loss: 259.4753 - logcount_predictions_loss: 0.2401 61/1102 [>.............................] - ETA: 5:16 - loss: 261.9885 - logits_profile_predictions_loss: 259.4449 - logcount_predictions_loss: 0.2400 62/1102 [>.............................] - ETA: 5:16 - loss: 261.9600 - logits_profile_predictions_loss: 259.4176 - logcount_predictions_loss: 0.2399 63/1102 [>.............................] - ETA: 5:15 - loss: 261.9356 - logits_profile_predictions_loss: 259.3942 - logcount_predictions_loss: 0.2398 64/1102 [>.............................] - ETA: 5:15 - loss: 261.9069 - logits_profile_predictions_loss: 259.3664 - logcount_predictions_loss: 0.2397 65/1102 [>.............................] - ETA: 5:15 - loss: 261.8734 - logits_profile_predictions_loss: 259.3334 - logcount_predictions_loss: 0.2396 66/1102 [>.............................] - ETA: 5:14 - loss: 261.8393 - logits_profile_predictions_loss: 259.3000 - logcount_predictions_loss: 0.2396 67/1102 [>.............................] - ETA: 5:14 - loss: 261.8029 - logits_profile_predictions_loss: 259.2642 - logcount_predictions_loss: 0.2395 68/1102 [>.............................] - ETA: 5:14 - loss: 261.7689 - logits_profile_predictions_loss: 259.2309 - logcount_predictions_loss: 0.2394 69/1102 [>.............................] - ETA: 5:13 - loss: 261.7368 - logits_profile_predictions_loss: 259.1995 - logcount_predictions_loss: 0.2394 70/1102 [>.............................] - ETA: 5:13 - loss: 261.7050 - logits_profile_predictions_loss: 259.1681 - logcount_predictions_loss: 0.2393 71/1102 [>.............................] - ETA: 5:13 - loss: 261.6783 - logits_profile_predictions_loss: 259.1418 - logcount_predictions_loss: 0.2393 72/1102 [>.............................] - ETA: 5:13 - loss: 261.6522 - logits_profile_predictions_loss: 259.1162 - logcount_predictions_loss: 0.2393 73/1102 [>.............................] - ETA: 5:12 - loss: 261.6272 - logits_profile_predictions_loss: 259.0915 - logcount_predictions_loss: 0.2392 74/1102 [=>............................] - ETA: 5:12 - loss: 261.5985 - logits_profile_predictions_loss: 259.0634 - logcount_predictions_loss: 0.2392 75/1102 [=>............................] - ETA: 5:12 - loss: 261.5748 - logits_profile_predictions_loss: 259.0402 - logcount_predictions_loss: 0.2391 76/1102 [=>............................] - ETA: 5:11 - loss: 261.5541 - logits_profile_predictions_loss: 259.0201 - logcount_predictions_loss: 0.2391 77/1102 [=>............................] - ETA: 5:11 - loss: 261.5394 - logits_profile_predictions_loss: 259.0061 - logcount_predictions_loss: 0.2390 78/1102 [=>............................] - ETA: 5:11 - loss: 261.5244 - logits_profile_predictions_loss: 258.9918 - logcount_predictions_loss: 0.2389 79/1102 [=>............................] - ETA: 5:10 - loss: 261.5067 - logits_profile_predictions_loss: 258.9747 - logcount_predictions_loss: 0.2389 80/1102 [=>............................] - ETA: 5:10 - loss: 261.4939 - logits_profile_predictions_loss: 258.9626 - logcount_predictions_loss: 0.2388 81/1102 [=>............................] - ETA: 5:10 - loss: 261.4828 - logits_profile_predictions_loss: 258.9523 - logcount_predictions_loss: 0.2387 82/1102 [=>............................] - ETA: 5:10 - loss: 261.4715 - logits_profile_predictions_loss: 258.9417 - logcount_predictions_loss: 0.2387 83/1102 [=>............................] - ETA: 5:09 - loss: 261.4627 - logits_profile_predictions_loss: 258.9334 - logcount_predictions_loss: 0.2386 84/1102 [=>............................] - ETA: 5:09 - loss: 261.4555 - logits_profile_predictions_loss: 258.9269 - logcount_predictions_loss: 0.2385 85/1102 [=>............................] - ETA: 5:09 - loss: 261.4485 - logits_profile_predictions_loss: 258.9205 - logcount_predictions_loss: 0.2385 86/1102 [=>............................] - ETA: 5:08 - loss: 261.4386 - logits_profile_predictions_loss: 258.9113 - logcount_predictions_loss: 0.2384 87/1102 [=>............................] - ETA: 5:08 - loss: 261.4283 - logits_profile_predictions_loss: 258.9015 - logcount_predictions_loss: 0.2384 88/1102 [=>............................] - ETA: 5:08 - loss: 261.4176 - logits_profile_predictions_loss: 258.8913 - logcount_predictions_loss: 0.2383 89/1102 [=>............................] - ETA: 5:07 - loss: 261.4078 - logits_profile_predictions_loss: 258.8820 - logcount_predictions_loss: 0.2383 90/1102 [=>............................] - ETA: 5:07 - loss: 261.4024 - logits_profile_predictions_loss: 258.8772 - logcount_predictions_loss: 0.2382 91/1102 [=>............................] - ETA: 5:07 - loss: 261.3962 - logits_profile_predictions_loss: 258.8714 - logcount_predictions_loss: 0.2382 92/1102 [=>............................] - ETA: 5:07 - loss: 261.3925 - logits_profile_predictions_loss: 258.8683 - logcount_predictions_loss: 0.2381 93/1102 [=>............................] - ETA: 5:06 - loss: 261.3863 - logits_profile_predictions_loss: 258.8626 - logcount_predictions_loss: 0.2381 94/1102 [=>............................] - ETA: 5:06 - loss: 261.3785 - logits_profile_predictions_loss: 258.8552 - logcount_predictions_loss: 0.2380 95/1102 [=>............................] - ETA: 5:06 - loss: 261.3723 - logits_profile_predictions_loss: 258.8495 - logcount_predictions_loss: 0.2380 96/1102 [=>............................] - ETA: 5:05 - loss: 261.3655 - logits_profile_predictions_loss: 258.8432 - logcount_predictions_loss: 0.2380 97/1102 [=>............................] - ETA: 5:05 - loss: 261.3562 - logits_profile_predictions_loss: 258.8344 - logcount_predictions_loss: 0.2379 98/1102 [=>............................] - ETA: 5:05 - loss: 261.3476 - logits_profile_predictions_loss: 258.8264 - logcount_predictions_loss: 0.2379 99/1102 [=>............................] - ETA: 5:04 - loss: 261.3393 - logits_profile_predictions_loss: 258.8185 - logcount_predictions_loss: 0.2378 100/1102 [=>............................] - ETA: 5:04 - loss: 261.3294 - logits_profile_predictions_loss: 258.8092 - logcount_predictions_loss: 0.2378 101/1102 [=>............................] - ETA: 5:04 - loss: 261.3220 - logits_profile_predictions_loss: 258.8023 - logcount_predictions_loss: 0.2377 102/1102 [=>............................] - ETA: 5:04 - loss: 261.3155 - logits_profile_predictions_loss: 258.7965 - logcount_predictions_loss: 0.2376 103/1102 [=>............................] - ETA: 5:03 - loss: 261.3064 - logits_profile_predictions_loss: 258.7882 - logcount_predictions_loss: 0.2376 104/1102 [=>............................] - ETA: 5:03 - loss: 261.2978 - logits_profile_predictions_loss: 258.7803 - logcount_predictions_loss: 0.2375 105/1102 [=>............................] - ETA: 5:03 - loss: 261.2876 - logits_profile_predictions_loss: 258.7709 - logcount_predictions_loss: 0.2374 106/1102 [=>............................] - ETA: 5:02 - loss: 261.2779 - logits_profile_predictions_loss: 258.7620 - logcount_predictions_loss: 0.2374 107/1102 [=>............................] - ETA: 5:02 - loss: 261.2677 - logits_profile_predictions_loss: 258.7525 - logcount_predictions_loss: 0.2373 108/1102 [=>............................] - ETA: 5:02 - loss: 261.2563 - logits_profile_predictions_loss: 258.7417 - logcount_predictions_loss: 0.2372 109/1102 [=>............................] - ETA: 5:01 - loss: 261.2456 - logits_profile_predictions_loss: 258.7317 - logcount_predictions_loss: 0.2372 110/1102 [=>............................] - ETA: 5:01 - loss: 261.2368 - logits_profile_predictions_loss: 258.7234 - logcount_predictions_loss: 0.2371 111/1102 [==>...........................] - ETA: 5:01 - loss: 261.2266 - logits_profile_predictions_loss: 258.7137 - logcount_predictions_loss: 0.2371 112/1102 [==>...........................] - ETA: 5:01 - loss: 261.2151 - logits_profile_predictions_loss: 258.7027 - logcount_predictions_loss: 0.2370 113/1102 [==>...........................] - ETA: 5:00 - loss: 261.2038 - logits_profile_predictions_loss: 258.6918 - logcount_predictions_loss: 0.2370 114/1102 [==>...........................] - ETA: 5:00 - loss: 261.1931 - logits_profile_predictions_loss: 258.6816 - logcount_predictions_loss: 0.2369 115/1102 [==>...........................] - ETA: 5:00 - loss: 261.1827 - logits_profile_predictions_loss: 258.6716 - logcount_predictions_loss: 0.2369 116/1102 [==>...........................] - ETA: 4:59 - loss: 261.1701 - logits_profile_predictions_loss: 258.6594 - logcount_predictions_loss: 0.2369 117/1102 [==>...........................] - ETA: 4:59 - loss: 261.1567 - logits_profile_predictions_loss: 258.6464 - logcount_predictions_loss: 0.2368 118/1102 [==>...........................] - ETA: 4:59 - loss: 261.1454 - logits_profile_predictions_loss: 258.6354 - logcount_predictions_loss: 0.2368 119/1102 [==>...........................] - ETA: 4:58 - loss: 261.1334 - logits_profile_predictions_loss: 258.6238 - logcount_predictions_loss: 0.2367 120/1102 [==>...........................] - ETA: 4:58 - loss: 261.1230 - logits_profile_predictions_loss: 258.6139 - logcount_predictions_loss: 0.2367 121/1102 [==>...........................] - ETA: 4:58 - loss: 261.1147 - logits_profile_predictions_loss: 258.6061 - logcount_predictions_loss: 0.2367 122/1102 [==>...........................] - ETA: 4:57 - loss: 261.1053 - logits_profile_predictions_loss: 258.5969 - logcount_predictions_loss: 0.2366 123/1102 [==>...........................] - ETA: 4:57 - loss: 261.0964 - logits_profile_predictions_loss: 258.5885 - logcount_predictions_loss: 0.2366 124/1102 [==>...........................] - ETA: 4:57 - loss: 261.0870 - logits_profile_predictions_loss: 258.5794 - logcount_predictions_loss: 0.2366 125/1102 [==>...........................] - ETA: 4:57 - loss: 261.0786 - logits_profile_predictions_loss: 258.5714 - logcount_predictions_loss: 0.2365 126/1102 [==>...........................] - ETA: 4:56 - loss: 261.0692 - logits_profile_predictions_loss: 258.5623 - logcount_predictions_loss: 0.2365 127/1102 [==>...........................] - ETA: 4:56 - loss: 261.0605 - logits_profile_predictions_loss: 258.5538 - logcount_predictions_loss: 0.2365 128/1102 [==>...........................] - ETA: 4:56 - loss: 261.0537 - logits_profile_predictions_loss: 258.5474 - logcount_predictions_loss: 0.2364 129/1102 [==>...........................] - ETA: 4:55 - loss: 261.0467 - logits_profile_predictions_loss: 258.5406 - logcount_predictions_loss: 0.2364 130/1102 [==>...........................] - ETA: 4:55 - loss: 261.0389 - logits_profile_predictions_loss: 258.5331 - logcount_predictions_loss: 0.2364 131/1102 [==>...........................] - ETA: 4:55 - loss: 261.0306 - logits_profile_predictions_loss: 258.5253 - logcount_predictions_loss: 0.2364 132/1102 [==>...........................] - ETA: 4:54 - loss: 261.0219 - logits_profile_predictions_loss: 258.5169 - logcount_predictions_loss: 0.2363 133/1102 [==>...........................] - ETA: 4:54 - loss: 261.0127 - logits_profile_predictions_loss: 258.5081 - logcount_predictions_loss: 0.2363 134/1102 [==>...........................] - ETA: 4:54 - loss: 261.0036 - logits_profile_predictions_loss: 258.4994 - logcount_predictions_loss: 0.2363 135/1102 [==>...........................] - ETA: 4:54 - loss: 260.9948 - logits_profile_predictions_loss: 258.4909 - logcount_predictions_loss: 0.2362 136/1102 [==>...........................] - ETA: 4:53 - loss: 260.9856 - logits_profile_predictions_loss: 258.4821 - logcount_predictions_loss: 0.2362 137/1102 [==>...........................] - ETA: 4:53 - loss: 260.9767 - 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logits_profile_predictions_loss: 258.3995 - logcount_predictions_loss: 0.2358 151/1102 [===>..........................] - ETA: 4:49 - loss: 260.8938 - logits_profile_predictions_loss: 258.3950 - logcount_predictions_loss: 0.2357 152/1102 [===>..........................] - ETA: 4:48 - loss: 260.8900 - logits_profile_predictions_loss: 258.3914 - logcount_predictions_loss: 0.2357 153/1102 [===>..........................] - ETA: 4:48 - loss: 260.8858 - logits_profile_predictions_loss: 258.3875 - logcount_predictions_loss: 0.2357 154/1102 [===>..........................] - ETA: 4:48 - loss: 260.8808 - logits_profile_predictions_loss: 258.3827 - logcount_predictions_loss: 0.2357 155/1102 [===>..........................] - ETA: 4:47 - loss: 260.8753 - logits_profile_predictions_loss: 258.3775 - logcount_predictions_loss: 0.2356 156/1102 [===>..........................] - ETA: 4:47 - loss: 260.8705 - logits_profile_predictions_loss: 258.3729 - logcount_predictions_loss: 0.2356 157/1102 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[===>..........................] - ETA: 4:39 - loss: 260.7571 - logits_profile_predictions_loss: 258.2650 - logcount_predictions_loss: 0.2351 184/1102 [====>.........................] - ETA: 4:39 - loss: 260.7533 - logits_profile_predictions_loss: 258.2613 - logcount_predictions_loss: 0.2351 185/1102 [====>.........................] - ETA: 4:38 - loss: 260.7500 - logits_profile_predictions_loss: 258.2581 - logcount_predictions_loss: 0.2351 186/1102 [====>.........................] - ETA: 4:38 - loss: 260.7475 - logits_profile_predictions_loss: 258.2558 - logcount_predictions_loss: 0.2351 187/1102 [====>.........................] - ETA: 4:38 - loss: 260.7447 - logits_profile_predictions_loss: 258.2530 - logcount_predictions_loss: 0.2351 188/1102 [====>.........................] - ETA: 4:38 - loss: 260.7409 - logits_profile_predictions_loss: 258.2493 - logcount_predictions_loss: 0.2351 189/1102 [====>.........................] - ETA: 4:37 - loss: 260.7367 - 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[====>.........................] - ETA: 4:35 - loss: 260.7020 - logits_profile_predictions_loss: 258.2109 - logcount_predictions_loss: 0.2350 197/1102 [====>.........................] - ETA: 4:35 - loss: 260.6963 - logits_profile_predictions_loss: 258.2053 - logcount_predictions_loss: 0.2350 198/1102 [====>.........................] - ETA: 4:34 - loss: 260.6911 - logits_profile_predictions_loss: 258.2002 - logcount_predictions_loss: 0.2350 199/1102 [====>.........................] - ETA: 4:34 - loss: 260.6859 - logits_profile_predictions_loss: 258.1951 - logcount_predictions_loss: 0.2350 200/1102 [====>.........................] - ETA: 4:34 - loss: 260.6807 - logits_profile_predictions_loss: 258.1899 - logcount_predictions_loss: 0.2350 201/1102 [====>.........................] - ETA: 4:34 - loss: 260.6752 - logits_profile_predictions_loss: 258.1845 - logcount_predictions_loss: 0.2350 202/1102 [====>.........................] - ETA: 4:33 - loss: 260.6693 - 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[====>.........................] - ETA: 4:31 - loss: 260.6313 - logits_profile_predictions_loss: 258.1411 - logcount_predictions_loss: 0.2349 210/1102 [====>.........................] - ETA: 4:31 - loss: 260.6258 - logits_profile_predictions_loss: 258.1357 - logcount_predictions_loss: 0.2349 211/1102 [====>.........................] - ETA: 4:31 - loss: 260.6207 - logits_profile_predictions_loss: 258.1306 - logcount_predictions_loss: 0.2349 212/1102 [====>.........................] - ETA: 4:30 - loss: 260.6155 - logits_profile_predictions_loss: 258.1256 - logcount_predictions_loss: 0.2349 213/1102 [====>.........................] - ETA: 4:30 - loss: 260.6103 - logits_profile_predictions_loss: 258.1204 - logcount_predictions_loss: 0.2349 214/1102 [====>.........................] - ETA: 4:30 - loss: 260.6051 - logits_profile_predictions_loss: 258.1153 - logcount_predictions_loss: 0.2349 215/1102 [====>.........................] - ETA: 4:29 - loss: 260.5996 - 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[=====>........................] - ETA: 4:27 - loss: 260.5630 - logits_profile_predictions_loss: 258.0734 - logcount_predictions_loss: 0.2349 223/1102 [=====>........................] - ETA: 4:27 - loss: 260.5578 - logits_profile_predictions_loss: 258.0682 - logcount_predictions_loss: 0.2349 224/1102 [=====>........................] - ETA: 4:27 - loss: 260.5524 - logits_profile_predictions_loss: 258.0629 - logcount_predictions_loss: 0.2349 225/1102 [=====>........................] - ETA: 4:26 - loss: 260.5470 - logits_profile_predictions_loss: 258.0574 - logcount_predictions_loss: 0.2349 226/1102 [=====>........................] - ETA: 4:26 - loss: 260.5417 - logits_profile_predictions_loss: 258.0521 - logcount_predictions_loss: 0.2349 227/1102 [=====>........................] - ETA: 4:26 - loss: 260.5362 - logits_profile_predictions_loss: 258.0467 - logcount_predictions_loss: 0.2349 228/1102 [=====>........................] - ETA: 4:25 - loss: 260.5306 - 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[=====>........................] - ETA: 4:23 - loss: 260.4960 - logits_profile_predictions_loss: 258.0070 - logcount_predictions_loss: 0.2348 236/1102 [=====>........................] - ETA: 4:23 - loss: 260.4908 - logits_profile_predictions_loss: 258.0019 - logcount_predictions_loss: 0.2348 237/1102 [=====>........................] - ETA: 4:23 - loss: 260.4854 - logits_profile_predictions_loss: 257.9966 - logcount_predictions_loss: 0.2348 238/1102 [=====>........................] - ETA: 4:22 - loss: 260.4799 - logits_profile_predictions_loss: 257.9912 - logcount_predictions_loss: 0.2348 239/1102 [=====>........................] - ETA: 4:22 - loss: 260.4744 - logits_profile_predictions_loss: 257.9858 - logcount_predictions_loss: 0.2348 240/1102 [=====>........................] - ETA: 4:22 - loss: 260.4690 - logits_profile_predictions_loss: 257.9804 - logcount_predictions_loss: 0.2348 241/1102 [=====>........................] - ETA: 4:21 - loss: 260.4640 - logits_profile_predictions_loss: 257.9755 - logcount_predictions_loss: 0.2348 242/1102 [=====>........................] - ETA: 4:21 - loss: 260.4590 - logits_profile_predictions_loss: 257.9705 - logcount_predictions_loss: 0.2348 243/1102 [=====>........................] - ETA: 4:21 - loss: 260.4540 - logits_profile_predictions_loss: 257.9656 - logcount_predictions_loss: 0.2348 244/1102 [=====>........................] - ETA: 4:21 - loss: 260.4491 - logits_profile_predictions_loss: 257.9607 - logcount_predictions_loss: 0.2348 245/1102 [=====>........................] - ETA: 4:20 - loss: 260.4437 - logits_profile_predictions_loss: 257.9554 - logcount_predictions_loss: 0.2347 246/1102 [=====>........................] - ETA: 4:20 - loss: 260.4385 - logits_profile_predictions_loss: 257.9503 - logcount_predictions_loss: 0.2347 247/1102 [=====>........................] - ETA: 4:20 - loss: 260.4339 - logits_profile_predictions_loss: 257.9457 - logcount_predictions_loss: 0.2347 248/1102 [=====>........................] - ETA: 4:19 - loss: 260.4294 - logits_profile_predictions_loss: 257.9413 - logcount_predictions_loss: 0.2347 249/1102 [=====>........................] - ETA: 4:19 - loss: 260.4252 - logits_profile_predictions_loss: 257.9371 - logcount_predictions_loss: 0.2347 250/1102 [=====>........................] - ETA: 4:19 - loss: 260.4212 - logits_profile_predictions_loss: 257.9332 - logcount_predictions_loss: 0.2347 251/1102 [=====>........................] - ETA: 4:18 - loss: 260.4174 - logits_profile_predictions_loss: 257.9295 - logcount_predictions_loss: 0.2347 252/1102 [=====>........................] - ETA: 4:18 - loss: 260.4131 - logits_profile_predictions_loss: 257.9252 - logcount_predictions_loss: 0.2347 253/1102 [=====>........................] - ETA: 4:18 - loss: 260.4087 - logits_profile_predictions_loss: 257.9210 - logcount_predictions_loss: 0.2347 254/1102 [=====>........................] - ETA: 4:17 - loss: 260.4047 - logits_profile_predictions_loss: 257.9170 - logcount_predictions_loss: 0.2347 255/1102 [=====>........................] - ETA: 4:17 - loss: 260.4012 - logits_profile_predictions_loss: 257.9136 - logcount_predictions_loss: 0.2347 256/1102 [=====>........................] - ETA: 4:17 - loss: 260.3977 - logits_profile_predictions_loss: 257.9101 - logcount_predictions_loss: 0.2347 257/1102 [=====>........................] - ETA: 4:17 - loss: 260.3940 - logits_profile_predictions_loss: 257.9065 - logcount_predictions_loss: 0.2347 258/1102 [======>.......................] - ETA: 4:16 - loss: 260.3901 - logits_profile_predictions_loss: 257.9026 - logcount_predictions_loss: 0.2347 259/1102 [======>.......................] - ETA: 4:16 - loss: 260.3862 - logits_profile_predictions_loss: 257.8988 - logcount_predictions_loss: 0.2347 260/1102 [======>.......................] - ETA: 4:16 - loss: 260.3819 - logits_profile_predictions_loss: 257.8947 - logcount_predictions_loss: 0.2346 261/1102 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[===>..........................] - ETA: 4:48 - loss: 255.4750 - logits_profile_predictions_loss: 253.1897 - logcount_predictions_loss: 0.2156 156/1102 [===>..........................] - ETA: 4:47 - loss: 255.4670 - logits_profile_predictions_loss: 253.1819 - logcount_predictions_loss: 0.2156 157/1102 [===>..........................] - ETA: 4:47 - loss: 255.4595 - logits_profile_predictions_loss: 253.1746 - logcount_predictions_loss: 0.2156 158/1102 [===>..........................] - ETA: 4:47 - loss: 255.4522 - logits_profile_predictions_loss: 253.1675 - logcount_predictions_loss: 0.2155 159/1102 [===>..........................] - ETA: 4:46 - loss: 255.4440 - logits_profile_predictions_loss: 253.1594 - logcount_predictions_loss: 0.2155 160/1102 [===>..........................] - ETA: 4:46 - loss: 255.4358 - logits_profile_predictions_loss: 253.1514 - logcount_predictions_loss: 0.2155 161/1102 [===>..........................] - ETA: 4:46 - loss: 255.4278 - logits_profile_predictions_loss: 253.1436 - logcount_predictions_loss: 0.2155 162/1102 [===>..........................] - ETA: 4:46 - loss: 255.4201 - logits_profile_predictions_loss: 253.1361 - logcount_predictions_loss: 0.2155 163/1102 [===>..........................] - ETA: 4:45 - loss: 255.4122 - logits_profile_predictions_loss: 253.1283 - logcount_predictions_loss: 0.2155 164/1102 [===>..........................] - ETA: 4:45 - loss: 255.4046 - logits_profile_predictions_loss: 253.1209 - logcount_predictions_loss: 0.2154 165/1102 [===>..........................] - ETA: 4:45 - loss: 255.3974 - logits_profile_predictions_loss: 253.1140 - logcount_predictions_loss: 0.2154 166/1102 [===>..........................] - ETA: 4:44 - loss: 255.3914 - logits_profile_predictions_loss: 253.1081 - logcount_predictions_loss: 0.2154 167/1102 [===>..........................] - ETA: 4:44 - loss: 255.3859 - logits_profile_predictions_loss: 253.1028 - logcount_predictions_loss: 0.2154 168/1102 [===>..........................] - ETA: 4:44 - loss: 255.3799 - logits_profile_predictions_loss: 253.0970 - logcount_predictions_loss: 0.2154 169/1102 [===>..........................] - ETA: 4:43 - loss: 255.3735 - logits_profile_predictions_loss: 253.0908 - logcount_predictions_loss: 0.2154 170/1102 [===>..........................] - ETA: 4:43 - loss: 255.3672 - logits_profile_predictions_loss: 253.0846 - logcount_predictions_loss: 0.2153 171/1102 [===>..........................] - ETA: 4:43 - loss: 255.3605 - logits_profile_predictions_loss: 253.0782 - logcount_predictions_loss: 0.2153 172/1102 [===>..........................] - ETA: 4:42 - loss: 255.3546 - logits_profile_predictions_loss: 253.0725 - logcount_predictions_loss: 0.2153 173/1102 [===>..........................] - ETA: 4:42 - loss: 255.3487 - logits_profile_predictions_loss: 253.0668 - logcount_predictions_loss: 0.2153 174/1102 [===>..........................] - ETA: 4:42 - loss: 255.3424 - logits_profile_predictions_loss: 253.0607 - logcount_predictions_loss: 0.2153 175/1102 [===>..........................] - ETA: 4:42 - loss: 255.3374 - logits_profile_predictions_loss: 253.0560 - logcount_predictions_loss: 0.2152 176/1102 [===>..........................] - ETA: 4:41 - loss: 255.3321 - logits_profile_predictions_loss: 253.0508 - logcount_predictions_loss: 0.2152 177/1102 [===>..........................] - ETA: 4:41 - loss: 255.3267 - logits_profile_predictions_loss: 253.0456 - logcount_predictions_loss: 0.2152 178/1102 [===>..........................] - ETA: 4:41 - loss: 255.3214 - logits_profile_predictions_loss: 253.0405 - logcount_predictions_loss: 0.2152 179/1102 [===>..........................] - ETA: 4:40 - loss: 255.3162 - logits_profile_predictions_loss: 253.0355 - logcount_predictions_loss: 0.2152 180/1102 [===>..........................] - ETA: 4:40 - loss: 255.3112 - logits_profile_predictions_loss: 253.0307 - logcount_predictions_loss: 0.2151 181/1102 [===>..........................] - ETA: 4:40 - loss: 255.3065 - logits_profile_predictions_loss: 253.0262 - logcount_predictions_loss: 0.2151 182/1102 [===>..........................] - ETA: 4:39 - loss: 255.3017 - logits_profile_predictions_loss: 253.0217 - logcount_predictions_loss: 0.2151 183/1102 [===>..........................] - ETA: 4:39 - loss: 255.2965 - logits_profile_predictions_loss: 253.0167 - logcount_predictions_loss: 0.2151 184/1102 [====>.........................] - ETA: 4:39 - loss: 255.2908 - logits_profile_predictions_loss: 253.0111 - logcount_predictions_loss: 0.2151 185/1102 [====>.........................] - ETA: 4:39 - loss: 255.2853 - logits_profile_predictions_loss: 253.0058 - logcount_predictions_loss: 0.2151 186/1102 [====>.........................] - ETA: 4:38 - loss: 255.2795 - logits_profile_predictions_loss: 253.0002 - logcount_predictions_loss: 0.2150 187/1102 [====>.........................] - ETA: 4:38 - loss: 255.2743 - logits_profile_predictions_loss: 252.9950 - logcount_predictions_loss: 0.2150 188/1102 [====>.........................] - ETA: 4:38 - loss: 255.2693 - logits_profile_predictions_loss: 252.9903 - logcount_predictions_loss: 0.2150 189/1102 [====>.........................] - ETA: 4:37 - loss: 255.2651 - logits_profile_predictions_loss: 252.9862 - logcount_predictions_loss: 0.2150 190/1102 [====>.........................] - ETA: 4:37 - loss: 255.2612 - logits_profile_predictions_loss: 252.9824 - logcount_predictions_loss: 0.2150 191/1102 [====>.........................] - ETA: 4:37 - loss: 255.2573 - logits_profile_predictions_loss: 252.9788 - logcount_predictions_loss: 0.2150 192/1102 [====>.........................] - ETA: 4:36 - loss: 255.2529 - logits_profile_predictions_loss: 252.9745 - logcount_predictions_loss: 0.2149 193/1102 [====>.........................] - ETA: 4:36 - loss: 255.2484 - logits_profile_predictions_loss: 252.9701 - logcount_predictions_loss: 0.2149 194/1102 [====>.........................] - ETA: 4:36 - loss: 255.2443 - logits_profile_predictions_loss: 252.9661 - logcount_predictions_loss: 0.2149 195/1102 [====>.........................] - ETA: 4:35 - loss: 255.2408 - logits_profile_predictions_loss: 252.9628 - logcount_predictions_loss: 0.2149 196/1102 [====>.........................] - ETA: 4:35 - loss: 255.2374 - logits_profile_predictions_loss: 252.9596 - logcount_predictions_loss: 0.2149 197/1102 [====>.........................] - ETA: 4:35 - loss: 255.2342 - logits_profile_predictions_loss: 252.9565 - logcount_predictions_loss: 0.2149 198/1102 [====>.........................] - ETA: 4:35 - loss: 255.2306 - logits_profile_predictions_loss: 252.9531 - logcount_predictions_loss: 0.2149 199/1102 [====>.........................] - ETA: 4:34 - loss: 255.2272 - logits_profile_predictions_loss: 252.9499 - logcount_predictions_loss: 0.2148 200/1102 [====>.........................] - ETA: 4:34 - loss: 255.2238 - logits_profile_predictions_loss: 252.9466 - logcount_predictions_loss: 0.2148 201/1102 [====>.........................] - ETA: 4:34 - loss: 255.2211 - logits_profile_predictions_loss: 252.9440 - logcount_predictions_loss: 0.2148 202/1102 [====>.........................] - ETA: 4:33 - loss: 255.2181 - logits_profile_predictions_loss: 252.9413 - logcount_predictions_loss: 0.2148 203/1102 [====>.........................] - ETA: 4:33 - loss: 255.2154 - logits_profile_predictions_loss: 252.9387 - logcount_predictions_loss: 0.2148 204/1102 [====>.........................] - ETA: 4:33 - loss: 255.2128 - logits_profile_predictions_loss: 252.9362 - logcount_predictions_loss: 0.2148 205/1102 [====>.........................] - ETA: 4:32 - loss: 255.2102 - logits_profile_predictions_loss: 252.9337 - logcount_predictions_loss: 0.2148 206/1102 [====>.........................] - ETA: 4:32 - loss: 255.2078 - logits_profile_predictions_loss: 252.9315 - logcount_predictions_loss: 0.2147 207/1102 [====>.........................] - ETA: 4:32 - loss: 255.2053 - logits_profile_predictions_loss: 252.9291 - logcount_predictions_loss: 0.2147 208/1102 [====>.........................] - ETA: 4:32 - loss: 255.2029 - logits_profile_predictions_loss: 252.9270 - logcount_predictions_loss: 0.2147 209/1102 [====>.........................] - ETA: 4:31 - loss: 255.2010 - logits_profile_predictions_loss: 252.9252 - logcount_predictions_loss: 0.2147 210/1102 [====>.........................] - ETA: 4:31 - loss: 255.1993 - logits_profile_predictions_loss: 252.9237 - logcount_predictions_loss: 0.2147 211/1102 [====>.........................] - ETA: 4:31 - loss: 255.1980 - logits_profile_predictions_loss: 252.9225 - logcount_predictions_loss: 0.2147 212/1102 [====>.........................] - ETA: 4:30 - loss: 255.1965 - logits_profile_predictions_loss: 252.9211 - logcount_predictions_loss: 0.2147 213/1102 [====>.........................] - ETA: 4:30 - loss: 255.1955 - logits_profile_predictions_loss: 252.9203 - logcount_predictions_loss: 0.2146 214/1102 [====>.........................] - ETA: 4:30 - loss: 255.1947 - logits_profile_predictions_loss: 252.9196 - logcount_predictions_loss: 0.2146 215/1102 [====>.........................] - ETA: 4:29 - loss: 255.1942 - logits_profile_predictions_loss: 252.9192 - logcount_predictions_loss: 0.2146 216/1102 [====>.........................] - ETA: 4:29 - loss: 255.1933 - logits_profile_predictions_loss: 252.9185 - logcount_predictions_loss: 0.2146 217/1102 [====>.........................] - ETA: 4:29 - loss: 255.1924 - logits_profile_predictions_loss: 252.9178 - logcount_predictions_loss: 0.2146 218/1102 [====>.........................] - ETA: 4:28 - loss: 255.1914 - logits_profile_predictions_loss: 252.9170 - logcount_predictions_loss: 0.2146 219/1102 [====>.........................] - ETA: 4:28 - loss: 255.1904 - logits_profile_predictions_loss: 252.9161 - logcount_predictions_loss: 0.2146 220/1102 [====>.........................] - ETA: 4:28 - loss: 255.1892 - logits_profile_predictions_loss: 252.9151 - logcount_predictions_loss: 0.2145 221/1102 [=====>........................] - ETA: 4:28 - loss: 255.1884 - logits_profile_predictions_loss: 252.9145 - logcount_predictions_loss: 0.2145 222/1102 [=====>........................] - ETA: 4:27 - loss: 255.1879 - logits_profile_predictions_loss: 252.9142 - logcount_predictions_loss: 0.2145 223/1102 [=====>........................] - ETA: 4:27 - loss: 255.1871 - logits_profile_predictions_loss: 252.9136 - logcount_predictions_loss: 0.2145 224/1102 [=====>........................] - ETA: 4:27 - loss: 255.1868 - logits_profile_predictions_loss: 252.9134 - logcount_predictions_loss: 0.2145 225/1102 [=====>........................] - ETA: 4:26 - loss: 255.1863 - logits_profile_predictions_loss: 252.9131 - logcount_predictions_loss: 0.2145 226/1102 [=====>........................] - ETA: 4:26 - loss: 255.1855 - logits_profile_predictions_loss: 252.9125 - logcount_predictions_loss: 0.2144 227/1102 [=====>........................] - ETA: 4:26 - loss: 255.1842 - logits_profile_predictions_loss: 252.9112 - logcount_predictions_loss: 0.2144 228/1102 [=====>........................] - ETA: 4:25 - loss: 255.1828 - logits_profile_predictions_loss: 252.9099 - logcount_predictions_loss: 0.2144 229/1102 [=====>........................] - ETA: 4:25 - loss: 255.1816 - logits_profile_predictions_loss: 252.9089 - logcount_predictions_loss: 0.2144 230/1102 [=====>........................] - ETA: 4:25 - loss: 255.1803 - logits_profile_predictions_loss: 252.9078 - logcount_predictions_loss: 0.2144 231/1102 [=====>........................] - ETA: 4:25 - loss: 255.1792 - logits_profile_predictions_loss: 252.9067 - logcount_predictions_loss: 0.2144 232/1102 [=====>........................] - ETA: 4:24 - loss: 255.1779 - logits_profile_predictions_loss: 252.9056 - logcount_predictions_loss: 0.2144 233/1102 [=====>........................] - ETA: 4:24 - loss: 255.1766 - logits_profile_predictions_loss: 252.9044 - logcount_predictions_loss: 0.2144 234/1102 [=====>........................] - ETA: 4:24 - loss: 255.1751 - logits_profile_predictions_loss: 252.9030 - logcount_predictions_loss: 0.2144 235/1102 [=====>........................] - ETA: 4:23 - loss: 255.1733 - logits_profile_predictions_loss: 252.9013 - logcount_predictions_loss: 0.2143 236/1102 [=====>........................] - ETA: 4:23 - loss: 255.1714 - logits_profile_predictions_loss: 252.8995 - logcount_predictions_loss: 0.2143 237/1102 [=====>........................] - ETA: 4:23 - loss: 255.1694 - logits_profile_predictions_loss: 252.8976 - logcount_predictions_loss: 0.2143 238/1102 [=====>........................] - ETA: 4:22 - loss: 255.1670 - logits_profile_predictions_loss: 252.8953 - logcount_predictions_loss: 0.2143 239/1102 [=====>........................] - ETA: 4:22 - loss: 255.1647 - logits_profile_predictions_loss: 252.8932 - logcount_predictions_loss: 0.2143 240/1102 [=====>........................] - ETA: 4:22 - loss: 255.1624 - logits_profile_predictions_loss: 252.8909 - logcount_predictions_loss: 0.2143 241/1102 [=====>........................] - ETA: 4:21 - loss: 255.1603 - logits_profile_predictions_loss: 252.8890 - logcount_predictions_loss: 0.2143 242/1102 [=====>........................] - ETA: 4:21 - loss: 255.1582 - logits_profile_predictions_loss: 252.8871 - logcount_predictions_loss: 0.2143 243/1102 [=====>........................] - ETA: 4:21 - loss: 255.1562 - logits_profile_predictions_loss: 252.8851 - logcount_predictions_loss: 0.2143 244/1102 [=====>........................] - ETA: 4:21 - loss: 255.1539 - logits_profile_predictions_loss: 252.8830 - logcount_predictions_loss: 0.2142 245/1102 [=====>........................] - ETA: 4:20 - loss: 255.1521 - logits_profile_predictions_loss: 252.8813 - logcount_predictions_loss: 0.2142 246/1102 [=====>........................] - ETA: 4:20 - loss: 255.1505 - logits_profile_predictions_loss: 252.8798 - logcount_predictions_loss: 0.2142 247/1102 [=====>........................] - ETA: 4:20 - loss: 255.1492 - logits_profile_predictions_loss: 252.8787 - logcount_predictions_loss: 0.2142 248/1102 [=====>........................] - ETA: 4:19 - loss: 255.1481 - logits_profile_predictions_loss: 252.8776 - logcount_predictions_loss: 0.2142 249/1102 [=====>........................] - ETA: 4:19 - loss: 255.1474 - logits_profile_predictions_loss: 252.8771 - logcount_predictions_loss: 0.2142 250/1102 [=====>........................] - ETA: 4:19 - loss: 255.1467 - logits_profile_predictions_loss: 252.8765 - logcount_predictions_loss: 0.2142 251/1102 [=====>........................] - ETA: 4:18 - loss: 255.1458 - logits_profile_predictions_loss: 252.8757 - logcount_predictions_loss: 0.2142 252/1102 [=====>........................] - ETA: 4:18 - loss: 255.1450 - logits_profile_predictions_loss: 252.8750 - logcount_predictions_loss: 0.2142 253/1102 [=====>........................] - ETA: 4:18 - loss: 255.1441 - logits_profile_predictions_loss: 252.8742 - logcount_predictions_loss: 0.2141 254/1102 [=====>........................] - ETA: 4:18 - loss: 255.1430 - logits_profile_predictions_loss: 252.8732 - logcount_predictions_loss: 0.2141 255/1102 [=====>........................] - ETA: 4:17 - loss: 255.1421 - logits_profile_predictions_loss: 252.8724 - logcount_predictions_loss: 0.2141 256/1102 [=====>........................] - ETA: 4:17 - loss: 255.1418 - logits_profile_predictions_loss: 252.8722 - logcount_predictions_loss: 0.2141 257/1102 [=====>........................] - ETA: 4:17 - loss: 255.1413 - logits_profile_predictions_loss: 252.8718 - logcount_predictions_loss: 0.2141 258/1102 [======>.......................] - ETA: 4:16 - loss: 255.1411 - logits_profile_predictions_loss: 252.8717 - logcount_predictions_loss: 0.2141 259/1102 [======>.......................] - ETA: 4:16 - loss: 255.1407 - logits_profile_predictions_loss: 252.8714 - logcount_predictions_loss: 0.2141 260/1102 [======>.......................] - ETA: 4:16 - loss: 255.1400 - logits_profile_predictions_loss: 252.8708 - logcount_predictions_loss: 0.2141 261/1102 [======>.......................] - ETA: 4:15 - loss: 255.1393 - logits_profile_predictions_loss: 252.8701 - logcount_predictions_loss: 0.2141 262/1102 [======>.......................] - ETA: 4:15 - loss: 255.1381 - logits_profile_predictions_loss: 252.8691 - logcount_predictions_loss: 0.2141 263/1102 [======>.......................] - ETA: 4:15 - loss: 255.1369 - logits_profile_predictions_loss: 252.8680 - logcount_predictions_loss: 0.2141 264/1102 [======>.......................] - ETA: 4:15 - loss: 255.1357 - logits_profile_predictions_loss: 252.8669 - logcount_predictions_loss: 0.2140 265/1102 [======>.......................] - ETA: 4:14 - loss: 255.1347 - logits_profile_predictions_loss: 252.8660 - logcount_predictions_loss: 0.2140 266/1102 [======>.......................] - ETA: 4:14 - loss: 255.1335 - logits_profile_predictions_loss: 252.8649 - logcount_predictions_loss: 0.2140 267/1102 [======>.......................] - ETA: 4:14 - loss: 255.1323 - logits_profile_predictions_loss: 252.8638 - logcount_predictions_loss: 0.2140 268/1102 [======>.......................] - ETA: 4:13 - loss: 255.1309 - logits_profile_predictions_loss: 252.8625 - logcount_predictions_loss: 0.2140 269/1102 [======>.......................] - ETA: 4:13 - loss: 255.1295 - logits_profile_predictions_loss: 252.8611 - logcount_predictions_loss: 0.2140 270/1102 [======>.......................] - ETA: 4:13 - loss: 255.1280 - logits_profile_predictions_loss: 252.8598 - logcount_predictions_loss: 0.2140 271/1102 [======>.......................] - ETA: 4:12 - loss: 255.1266 - logits_profile_predictions_loss: 252.8585 - logcount_predictions_loss: 0.2140 272/1102 [======>.......................] - ETA: 4:12 - loss: 255.1249 - logits_profile_predictions_loss: 252.8569 - logcount_predictions_loss: 0.2140 273/1102 [======>.......................] - ETA: 4:12 - loss: 255.1233 - logits_profile_predictions_loss: 252.8555 - logcount_predictions_loss: 0.2140 274/1102 [======>.......................] - ETA: 4:11 - loss: 255.1219 - logits_profile_predictions_loss: 252.8542 - logcount_predictions_loss: 0.2139 275/1102 [======>.......................] - ETA: 4:11 - loss: 255.1205 - logits_profile_predictions_loss: 252.8528 - logcount_predictions_loss: 0.2139 276/1102 [======>.......................] - ETA: 4:11 - loss: 255.1191 - logits_profile_predictions_loss: 252.8516 - logcount_predictions_loss: 0.2139 277/1102 [======>.......................] - ETA: 4:11 - loss: 255.1178 - logits_profile_predictions_loss: 252.8503 - logcount_predictions_loss: 0.2139 278/1102 [======>.......................] - ETA: 4:10 - loss: 255.1164 - 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995/1102 [==========================>...] - ETA: 32s - loss: 254.9887 - logits_profile_predictions_loss: 252.7470 - logcount_predictions_loss: 0.2115 996/1102 [==========================>...] - ETA: 32s - loss: 254.9887 - logits_profile_predictions_loss: 252.7470 - logcount_predictions_loss: 0.2115 997/1102 [==========================>...] - ETA: 31s - loss: 254.9887 - logits_profile_predictions_loss: 252.7471 - logcount_predictions_loss: 0.2115 998/1102 [==========================>...] - ETA: 31s - loss: 254.9888 - logits_profile_predictions_loss: 252.7471 - logcount_predictions_loss: 0.2115 999/1102 [==========================>...] - ETA: 31s - loss: 254.9888 - logits_profile_predictions_loss: 252.7472 - logcount_predictions_loss: 0.2115 1000/1102 [==========================>...] - ETA: 31s - loss: 254.9888 - logits_profile_predictions_loss: 252.7472 - logcount_predictions_loss: 0.2115 1001/1102 [==========================>...] - ETA: 30s - loss: 254.9888 - logits_profile_predictions_loss: 252.7472 - logcount_predictions_loss: 0.2115 1002/1102 [==========================>...] - ETA: 30s - loss: 254.9888 - logits_profile_predictions_loss: 252.7473 - logcount_predictions_loss: 0.2115 1003/1102 [==========================>...] - ETA: 30s - loss: 254.9889 - logits_profile_predictions_loss: 252.7474 - logcount_predictions_loss: 0.2115 1004/1102 [==========================>...] - ETA: 29s - loss: 254.9889 - logits_profile_predictions_loss: 252.7474 - logcount_predictions_loss: 0.2115 1005/1102 [==========================>...] - ETA: 29s - loss: 254.9889 - logits_profile_predictions_loss: 252.7475 - logcount_predictions_loss: 0.2115 1006/1102 [==========================>...] - ETA: 29s - loss: 254.9890 - logits_profile_predictions_loss: 252.7475 - logcount_predictions_loss: 0.2115 1007/1102 [==========================>...] - ETA: 28s - loss: 254.9890 - logits_profile_predictions_loss: 252.7476 - logcount_predictions_loss: 0.2114 1008/1102 [==========================>...] - ETA: 28s - loss: 254.9891 - logits_profile_predictions_loss: 252.7477 - logcount_predictions_loss: 0.2114 1009/1102 [==========================>...] - ETA: 28s - loss: 254.9891 - logits_profile_predictions_loss: 252.7478 - logcount_predictions_loss: 0.2114 1010/1102 [==========================>...] - ETA: 28s - loss: 254.9892 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2114 1011/1102 [==========================>...] - ETA: 27s - loss: 254.9892 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2114 1012/1102 [==========================>...] - ETA: 27s - loss: 254.9893 - logits_profile_predictions_loss: 252.7480 - logcount_predictions_loss: 0.2114 1013/1102 [==========================>...] - ETA: 27s - loss: 254.9893 - logits_profile_predictions_loss: 252.7481 - logcount_predictions_loss: 0.2114 1014/1102 [==========================>...] - ETA: 26s - loss: 254.9894 - logits_profile_predictions_loss: 252.7481 - logcount_predictions_loss: 0.2114 1015/1102 [==========================>...] - ETA: 26s - loss: 254.9894 - logits_profile_predictions_loss: 252.7482 - logcount_predictions_loss: 0.2114 1016/1102 [==========================>...] - ETA: 26s - loss: 254.9895 - logits_profile_predictions_loss: 252.7483 - logcount_predictions_loss: 0.2114 1017/1102 [==========================>...] - ETA: 25s - loss: 254.9895 - logits_profile_predictions_loss: 252.7483 - logcount_predictions_loss: 0.2114 1018/1102 [==========================>...] - ETA: 25s - loss: 254.9895 - logits_profile_predictions_loss: 252.7484 - logcount_predictions_loss: 0.2114 1019/1102 [==========================>...] - ETA: 25s - loss: 254.9896 - logits_profile_predictions_loss: 252.7484 - logcount_predictions_loss: 0.2114 1020/1102 [==========================>...] - ETA: 24s - loss: 254.9896 - logits_profile_predictions_loss: 252.7485 - logcount_predictions_loss: 0.2114 1021/1102 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[===========================>..] - ETA: 20s - loss: 254.9902 - logits_profile_predictions_loss: 252.7493 - logcount_predictions_loss: 0.2114 1035/1102 [===========================>..] - ETA: 20s - loss: 254.9902 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2114 1036/1102 [===========================>..] - ETA: 20s - loss: 254.9902 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2114 1037/1102 [===========================>..] - ETA: 19s - loss: 254.9903 - logits_profile_predictions_loss: 252.7495 - logcount_predictions_loss: 0.2114 1038/1102 [===========================>..] - ETA: 19s - loss: 254.9903 - logits_profile_predictions_loss: 252.7496 - logcount_predictions_loss: 0.2114 1039/1102 [===========================>..] - ETA: 19s - loss: 254.9904 - logits_profile_predictions_loss: 252.7497 - logcount_predictions_loss: 0.2114 1040/1102 [===========================>..] - ETA: 18s - loss: 254.9904 - 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[===========================>..] - ETA: 16s - loss: 254.9906 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1048/1102 [===========================>..] - ETA: 16s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1049/1102 [===========================>..] - ETA: 16s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1050/1102 [===========================>..] - ETA: 15s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1051/1102 [===========================>..] - ETA: 15s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1052/1102 [===========================>..] - ETA: 15s - loss: 254.9904 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1053/1102 [===========================>..] - ETA: 14s - loss: 254.9904 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1054/1102 [===========================>..] - ETA: 14s - loss: 254.9903 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1055/1102 [===========================>..] - ETA: 14s - loss: 254.9903 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1056/1102 [===========================>..] - ETA: 14s - loss: 254.9902 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2114 1057/1102 [===========================>..] - ETA: 13s - loss: 254.9902 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2113 1058/1102 [===========================>..] - ETA: 13s - loss: 254.9901 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2113 1059/1102 [===========================>..] - ETA: 13s - loss: 254.9900 - logits_profile_predictions_loss: 252.7497 - logcount_predictions_loss: 0.2113 1060/1102 [===========================>..] - ETA: 12s - loss: 254.9900 - logits_profile_predictions_loss: 252.7497 - logcount_predictions_loss: 0.2113 1061/1102 [===========================>..] - ETA: 12s - loss: 254.9899 - logits_profile_predictions_loss: 252.7496 - logcount_predictions_loss: 0.2113 1062/1102 [===========================>..] - ETA: 12s - loss: 254.9898 - logits_profile_predictions_loss: 252.7496 - logcount_predictions_loss: 0.2113 1063/1102 [===========================>..] - ETA: 11s - loss: 254.9898 - logits_profile_predictions_loss: 252.7495 - logcount_predictions_loss: 0.2113 1064/1102 [===========================>..] - ETA: 11s - loss: 254.9897 - logits_profile_predictions_loss: 252.7495 - logcount_predictions_loss: 0.2113 1065/1102 [===========================>..] - ETA: 11s - loss: 254.9896 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2113 1066/1102 [============================>.] - ETA: 10s - loss: 254.9895 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2113 1067/1102 [============================>.] - ETA: 10s - loss: 254.9895 - logits_profile_predictions_loss: 252.7493 - logcount_predictions_loss: 0.2113 1068/1102 [============================>.] - ETA: 10s - loss: 254.9894 - logits_profile_predictions_loss: 252.7492 - logcount_predictions_loss: 0.2113 1069/1102 [============================>.] - ETA: 10s - loss: 254.9892 - logits_profile_predictions_loss: 252.7491 - logcount_predictions_loss: 0.2113 1070/1102 [============================>.] - ETA: 9s - loss: 254.9891 - logits_profile_predictions_loss: 252.7490 - logcount_predictions_loss: 0.2113  1071/1102 [============================>.] - ETA: 9s - loss: 254.9891 - logits_profile_predictions_loss: 252.7490 - logcount_predictions_loss: 0.2113 1072/1102 [============================>.] - ETA: 9s - loss: 254.9890 - logits_profile_predictions_loss: 252.7489 - logcount_predictions_loss: 0.2113 1073/1102 [============================>.] - ETA: 8s - loss: 254.9889 - logits_profile_predictions_loss: 252.7488 - logcount_predictions_loss: 0.2113 1074/1102 [============================>.] - ETA: 8s - loss: 254.9888 - logits_profile_predictions_loss: 252.7488 - logcount_predictions_loss: 0.2113 1075/1102 [============================>.] - ETA: 8s - loss: 254.9887 - logits_profile_predictions_loss: 252.7487 - logcount_predictions_loss: 0.2113 1076/1102 [============================>.] - ETA: 7s - loss: 254.9886 - logits_profile_predictions_loss: 252.7486 - logcount_predictions_loss: 0.2113 1077/1102 [============================>.] - ETA: 7s - loss: 254.9885 - logits_profile_predictions_loss: 252.7486 - logcount_predictions_loss: 0.2113 1078/1102 [============================>.] - ETA: 7s - loss: 254.9884 - logits_profile_predictions_loss: 252.7485 - logcount_predictions_loss: 0.2113 1079/1102 [============================>.] - ETA: 7s - loss: 254.9883 - logits_profile_predictions_loss: 252.7484 - logcount_predictions_loss: 0.2113 1080/1102 [============================>.] - ETA: 6s - loss: 254.9882 - logits_profile_predictions_loss: 252.7483 - logcount_predictions_loss: 0.2113 1081/1102 [============================>.] - ETA: 6s - loss: 254.9881 - logits_profile_predictions_loss: 252.7482 - logcount_predictions_loss: 0.2113 1082/1102 [============================>.] - ETA: 6s - loss: 254.9880 - logits_profile_predictions_loss: 252.7481 - logcount_predictions_loss: 0.2113 1083/1102 [============================>.] - ETA: 5s - loss: 254.9879 - logits_profile_predictions_loss: 252.7480 - logcount_predictions_loss: 0.2113 1084/1102 [============================>.] - ETA: 5s - loss: 254.9878 - logits_profile_predictions_loss: 252.7480 - logcount_predictions_loss: 0.2113 1085/1102 [============================>.] - ETA: 5s - loss: 254.9878 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2113 1086/1102 [============================>.] - ETA: 4s - loss: 254.9877 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2113 1087/1102 [============================>.] - ETA: 4s - loss: 254.9877 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2113 1088/1102 [============================>.] - ETA: 4s - loss: 254.9876 - logits_profile_predictions_loss: 252.7478 - logcount_predictions_loss: 0.2113 1089/1102 [============================>.] - ETA: 3s - loss: 254.9875 - logits_profile_predictions_loss: 252.7478 - logcount_predictions_loss: 0.2113 1090/1102 [============================>.] - ETA: 3s - loss: 254.9875 - logits_profile_predictions_loss: 252.7477 - logcount_predictions_loss: 0.2113 1091/1102 [============================>.] - ETA: 3s - loss: 254.9874 - logits_profile_predictions_loss: 252.7477 - logcount_predictions_loss: 0.2113 1092/1102 [============================>.] - ETA: 3s - loss: 254.9873 - logits_profile_predictions_loss: 252.7476 - logcount_predictions_loss: 0.2113 1093/1102 [============================>.] - ETA: 2s - loss: 254.9872 - logits_profile_predictions_loss: 252.7475 - logcount_predictions_loss: 0.2113 1094/1102 [============================>.] - ETA: 2s - loss: 254.9870 - logits_profile_predictions_loss: 252.7474 - logcount_predictions_loss: 0.2113 1095/1102 [============================>.] - ETA: 2s - loss: 254.9869 - logits_profile_predictions_loss: 252.7473 - logcount_predictions_loss: 0.2113 1096/1102 [============================>.] - ETA: 1s - loss: 254.9868 - logits_profile_predictions_loss: 252.7472 - logcount_predictions_loss: 0.2113 1097/1102 [============================>.] - ETA: 1s - loss: 254.9867 - logits_profile_predictions_loss: 252.7471 - logcount_predictions_loss: 0.2113 1098/1102 [============================>.] - ETA: 1s - loss: 254.9865 - logits_profile_predictions_loss: 252.7470 - logcount_predictions_loss: 0.2113 1099/1102 [============================>.] - ETA: 0s - loss: 254.9864 - logits_profile_predictions_loss: 252.7469 - logcount_predictions_loss: 0.2113 1100/1102 [============================>.] - ETA: 0s - loss: 254.9863 - logits_profile_predictions_loss: 252.7468 - logcount_predictions_loss: 0.2113 1101/1102 [============================>.] - ETA: 0s - loss: 254.9862 - logits_profile_predictions_loss: 252.7467 - logcount_predictions_loss: 0.2113 1102/1102 [==============================] - ETA: 0s - loss: 254.9862 - logits_profile_predictions_loss: 252.7467 - logcount_predictions_loss: 0.2113 1102/1102 [==============================] - 348s 316ms/step - loss: 254.9861 - logits_profile_predictions_loss: 252.7466 - logcount_predictions_loss: 0.2113 - val_loss: 278.0227 - val_logits_profile_predictions_loss: 274.8435 - val_logcount_predictions_loss: 0.2999 + +Epoch 00011: val_loss did not improve from 274.00116 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-09-22_06-38-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(18107, 10) +loading nonpeaks... +got split:test for bed regions:(20553, 10) +0/152 +100/152 +2022-09-22_06-41-28: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(18107, 10) +loading nonpeaks... +got split:test for bed regions:(20553, 10) +0/152 +100/152 +2022-09-22_06-44-24: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(18107, 10) +loading nonpeaks... +got split:test for bed regions:(20553, 10) +0/152 +100/152 +2022-09-22_06-46-03: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_06-46-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 4:52 3/18 [====>.........................] - ETA: 7s  4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 9s 6/18 [=========>....................] - ETA: 9s 7/18 [==========>...................] - ETA: 8s 8/18 [============>.................] - ETA: 8s 9/18 [==============>...............] - ETA: 7s 10/18 [===============>..............] - ETA: 6s 11/18 [=================>............] - ETA: 5s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 48s 2s/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 987ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 987ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 988ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 989ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 990ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 990ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 991ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 991ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 991ms/step +Saving marginal footprints +2022-09-22_06-49-35: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_06-49-35: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 3:21 3/18 [====>.........................] - ETA: 0s  4/18 [=====>........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 23s 670ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 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+2022-09-22_05-24-46: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/atac_bias_models/fold_4/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] +Number of peaks input: 70839 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 70839 +Number of peaks input: 18107 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 18107 +Number of non peaks input: 68392 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 68392 +Number of non peaks input: 20553 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 20553 +Number of peaks after removing outliers: 70055 +Number of nonpeaks after removing outliers: 60472 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/1890 [..............................] - ETA: 8:59:31 10/1890 [..............................] - ETA: 11s  19/1890 [..............................] - ETA: 11s 28/1890 [..............................] - ETA: 11s 37/1890 [..............................] - ETA: 11s 45/1890 [..............................] - ETA: 11s 54/1890 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/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '10.6', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(64114, 10) +loading nonpeaks... +got split:train for bed regions:(55655, 10) +loading peaks... +got split:valid for bed regions:(5941, 10) +loading nonpeaks... +got split:valid for bed regions:(4817, 10) +Epoch 1/50 + 1/1102 [..............................] - ETA: 32:21:33 - loss: 298.1029 - logits_profile_predictions_loss: 277.2053 - logcount_predictions_loss: 1.9715 2/1102 [..............................] - ETA: 5:45 - loss: 648.2473 - logits_profile_predictions_loss: 279.1446 - logcount_predictions_loss: 34.8210  3/1102 [..............................] - ETA: 5:40 - loss: 686.5761 - logits_profile_predictions_loss: 279.0006 - logcount_predictions_loss: 38.4505 4/1102 [..............................] - ETA: 5:37 - loss: 676.2482 - logits_profile_predictions_loss: 278.4957 - logcount_predictions_loss: 37.5238 5/1102 [..............................] - ETA: 5:36 - loss: 655.1963 - logits_profile_predictions_loss: 277.4076 - logcount_predictions_loss: 35.6404 6/1102 [..............................] - ETA: 5:37 - loss: 634.9690 - logits_profile_predictions_loss: 278.0507 - logcount_predictions_loss: 33.6715 7/1102 [..............................] - ETA: 5:36 - loss: 615.0004 - logits_profile_predictions_loss: 277.8227 - logcount_predictions_loss: 31.8092 8/1102 [..............................] - ETA: 5:35 - loss: 597.1744 - logits_profile_predictions_loss: 277.9002 - logcount_predictions_loss: 30.1202 9/1102 [..............................] - ETA: 5:34 - loss: 581.2021 - logits_profile_predictions_loss: 277.9811 - logcount_predictions_loss: 28.6058 10/1102 [..............................] - ETA: 5:33 - loss: 566.8108 - logits_profile_predictions_loss: 277.9940 - logcount_predictions_loss: 27.2469 11/1102 [..............................] - ETA: 5:33 - loss: 553.9770 - logits_profile_predictions_loss: 278.0809 - logcount_predictions_loss: 26.0279 12/1102 [..............................] - ETA: 5:32 - loss: 542.3444 - logits_profile_predictions_loss: 278.1058 - logcount_predictions_loss: 24.9282 13/1102 [..............................] - ETA: 5:31 - loss: 531.8379 - logits_profile_predictions_loss: 278.1351 - logcount_predictions_loss: 23.9342 14/1102 [..............................] - ETA: 5:31 - loss: 522.3277 - logits_profile_predictions_loss: 278.1954 - logcount_predictions_loss: 23.0313 15/1102 [..............................] - ETA: 5:30 - loss: 513.7908 - logits_profile_predictions_loss: 278.3789 - logcount_predictions_loss: 22.2087 16/1102 [..............................] - ETA: 5:30 - loss: 505.9711 - logits_profile_predictions_loss: 278.5546 - logcount_predictions_loss: 21.4544 17/1102 [..............................] - ETA: 5:29 - loss: 498.7718 - logits_profile_predictions_loss: 278.7125 - logcount_predictions_loss: 20.7603 18/1102 [..............................] - ETA: 5:29 - loss: 492.0249 - logits_profile_predictions_loss: 278.7701 - logcount_predictions_loss: 20.1184 19/1102 [..............................] - ETA: 5:29 - loss: 485.7060 - logits_profile_predictions_loss: 278.7644 - logcount_predictions_loss: 19.5228 20/1102 [..............................] - ETA: 5:28 - loss: 479.7647 - logits_profile_predictions_loss: 278.6971 - logcount_predictions_loss: 18.9686 21/1102 [..............................] - ETA: 5:28 - loss: 474.1901 - logits_profile_predictions_loss: 278.5988 - logcount_predictions_loss: 18.4520 22/1102 [..............................] - ETA: 5:27 - loss: 469.0191 - logits_profile_predictions_loss: 278.5439 - logcount_predictions_loss: 17.9694 23/1102 [..............................] - ETA: 5:27 - loss: 464.1920 - logits_profile_predictions_loss: 278.5070 - logcount_predictions_loss: 17.5175 24/1102 [..............................] - ETA: 5:27 - loss: 459.6324 - logits_profile_predictions_loss: 278.4478 - logcount_predictions_loss: 17.0929 25/1102 [..............................] - ETA: 5:26 - loss: 455.4046 - logits_profile_predictions_loss: 278.4451 - logcount_predictions_loss: 16.6943 26/1102 [..............................] - ETA: 5:26 - loss: 451.4330 - logits_profile_predictions_loss: 278.4547 - logcount_predictions_loss: 16.3187 27/1102 [..............................] - ETA: 5:26 - loss: 447.6711 - logits_profile_predictions_loss: 278.4534 - logcount_predictions_loss: 15.9639 28/1102 [..............................] - ETA: 5:25 - loss: 444.0553 - logits_profile_predictions_loss: 278.4029 - logcount_predictions_loss: 15.6276 29/1102 [..............................] - ETA: 5:25 - loss: 440.6429 - logits_profile_predictions_loss: 278.3662 - logcount_predictions_loss: 15.3091 30/1102 [..............................] - ETA: 5:24 - loss: 437.3785 - logits_profile_predictions_loss: 278.3099 - logcount_predictions_loss: 15.0065 31/1102 [..............................] - ETA: 5:24 - loss: 434.2541 - logits_profile_predictions_loss: 278.2359 - logcount_predictions_loss: 14.7187 32/1102 [..............................] - ETA: 5:24 - loss: 431.3120 - logits_profile_predictions_loss: 278.1930 - logcount_predictions_loss: 14.4452 33/1102 [..............................] - ETA: 5:23 - loss: 428.5260 - logits_profile_predictions_loss: 278.1677 - logcount_predictions_loss: 14.1848 34/1102 [..............................] - ETA: 5:23 - loss: 425.8778 - logits_profile_predictions_loss: 278.1536 - logcount_predictions_loss: 13.9362 35/1102 [..............................] - ETA: 5:23 - loss: 423.3234 - logits_profile_predictions_loss: 278.1196 - logcount_predictions_loss: 13.6985 36/1102 [..............................] - ETA: 5:22 - loss: 420.8496 - logits_profile_predictions_loss: 278.0604 - logcount_predictions_loss: 13.4707 37/1102 [>.............................] - ETA: 5:22 - loss: 418.4880 - logits_profile_predictions_loss: 278.0092 - logcount_predictions_loss: 13.2527 38/1102 [>.............................] - ETA: 5:22 - loss: 416.2234 - logits_profile_predictions_loss: 277.9597 - logcount_predictions_loss: 13.0437 39/1102 [>.............................] - ETA: 5:21 - loss: 414.0669 - logits_profile_predictions_loss: 277.9263 - logcount_predictions_loss: 12.8435 40/1102 [>.............................] - ETA: 5:21 - loss: 411.9878 - logits_profile_predictions_loss: 277.8872 - logcount_predictions_loss: 12.6510 41/1102 [>.............................] - ETA: 5:21 - loss: 409.9933 - logits_profile_predictions_loss: 277.8534 - logcount_predictions_loss: 12.4660 42/1102 [>.............................] - ETA: 5:20 - loss: 408.0753 - logits_profile_predictions_loss: 277.8216 - logcount_predictions_loss: 12.2881 43/1102 [>.............................] - ETA: 5:20 - loss: 406.2387 - logits_profile_predictions_loss: 277.8004 - logcount_predictions_loss: 12.1168 44/1102 [>.............................] - ETA: 5:20 - loss: 404.4773 - logits_profile_predictions_loss: 277.7879 - logcount_predictions_loss: 11.9518 45/1102 [>.............................] - ETA: 5:19 - loss: 402.7716 - logits_profile_predictions_loss: 277.7693 - logcount_predictions_loss: 11.7927 46/1102 [>.............................] - ETA: 5:19 - loss: 401.1283 - logits_profile_predictions_loss: 277.7537 - logcount_predictions_loss: 11.6391 47/1102 [>.............................] - ETA: 5:19 - loss: 399.5362 - logits_profile_predictions_loss: 277.7349 - logcount_predictions_loss: 11.4907 48/1102 [>.............................] - ETA: 5:19 - loss: 398.0041 - logits_profile_predictions_loss: 277.7229 - logcount_predictions_loss: 11.3473 49/1102 [>.............................] - ETA: 5:18 - loss: 396.5190 - logits_profile_predictions_loss: 277.7084 - logcount_predictions_loss: 11.2085 50/1102 [>.............................] - ETA: 5:18 - loss: 395.0889 - logits_profile_predictions_loss: 277.7007 - logcount_predictions_loss: 11.0744 51/1102 [>.............................] - ETA: 5:18 - loss: 393.7031 - logits_profile_predictions_loss: 277.6920 - logcount_predictions_loss: 10.9445 52/1102 [>.............................] - ETA: 5:17 - loss: 392.3543 - logits_profile_predictions_loss: 277.6777 - logcount_predictions_loss: 10.8186 53/1102 [>.............................] - ETA: 5:17 - loss: 391.0335 - logits_profile_predictions_loss: 277.6522 - logcount_predictions_loss: 10.6964 54/1102 [>.............................] - ETA: 5:17 - loss: 389.7460 - logits_profile_predictions_loss: 277.6219 - logcount_predictions_loss: 10.5777 55/1102 [>.............................] - ETA: 5:16 - loss: 388.5013 - logits_profile_predictions_loss: 277.5966 - logcount_predictions_loss: 10.4627 56/1102 [>.............................] - ETA: 5:16 - loss: 387.2938 - logits_profile_predictions_loss: 277.5726 - logcount_predictions_loss: 10.3511 57/1102 [>.............................] - ETA: 5:16 - loss: 386.1212 - logits_profile_predictions_loss: 277.5494 - logcount_predictions_loss: 10.2426 58/1102 [>.............................] - ETA: 5:15 - loss: 384.9871 - logits_profile_predictions_loss: 277.5316 - logcount_predictions_loss: 10.1373 59/1102 [>.............................] - ETA: 5:15 - loss: 383.8822 - logits_profile_predictions_loss: 277.5123 - logcount_predictions_loss: 10.0349 60/1102 [>.............................] - ETA: 5:15 - loss: 382.8097 - logits_profile_predictions_loss: 277.4952 - logcount_predictions_loss: 9.9353  61/1102 [>.............................] - ETA: 5:15 - loss: 381.7625 - logits_profile_predictions_loss: 277.4752 - logcount_predictions_loss: 9.8384 62/1102 [>.............................] - ETA: 5:14 - loss: 380.7359 - logits_profile_predictions_loss: 277.4496 - logcount_predictions_loss: 9.7440 63/1102 [>.............................] - ETA: 5:14 - loss: 379.7432 - logits_profile_predictions_loss: 277.4308 - logcount_predictions_loss: 9.6521 64/1102 [>.............................] - ETA: 5:14 - loss: 378.7787 - logits_profile_predictions_loss: 277.4151 - logcount_predictions_loss: 9.5626 65/1102 [>.............................] - ETA: 5:13 - loss: 377.8341 - logits_profile_predictions_loss: 277.3954 - logcount_predictions_loss: 9.4754 66/1102 [>.............................] - ETA: 5:13 - loss: 376.9043 - logits_profile_predictions_loss: 277.3685 - logcount_predictions_loss: 9.3902 67/1102 [>.............................] - ETA: 5:13 - loss: 376.0041 - logits_profile_predictions_loss: 277.3482 - logcount_predictions_loss: 9.3072 68/1102 [>.............................] - ETA: 5:12 - loss: 375.1271 - logits_profile_predictions_loss: 277.3298 - logcount_predictions_loss: 9.2262 69/1102 [>.............................] - ETA: 5:12 - loss: 374.2835 - logits_profile_predictions_loss: 277.3227 - logcount_predictions_loss: 9.1473 70/1102 [>.............................] - ETA: 5:12 - loss: 373.4466 - logits_profile_predictions_loss: 277.3040 - logcount_predictions_loss: 9.0701 71/1102 [>.............................] - ETA: 5:12 - loss: 372.6312 - logits_profile_predictions_loss: 277.2876 - logcount_predictions_loss: 8.9947 72/1102 [>.............................] - ETA: 5:11 - loss: 371.8374 - logits_profile_predictions_loss: 277.2737 - logcount_predictions_loss: 8.9211 73/1102 [>.............................] - ETA: 5:11 - loss: 371.0605 - logits_profile_predictions_loss: 277.2590 - logcount_predictions_loss: 8.8492 74/1102 [=>............................] - ETA: 5:11 - loss: 370.3062 - logits_profile_predictions_loss: 277.2492 - logcount_predictions_loss: 8.7790 75/1102 [=>............................] - ETA: 5:10 - loss: 369.5739 - logits_profile_predictions_loss: 277.2443 - logcount_predictions_loss: 8.7103 76/1102 [=>............................] - ETA: 5:10 - loss: 368.8513 - logits_profile_predictions_loss: 277.2340 - logcount_predictions_loss: 8.6431 77/1102 [=>............................] - ETA: 5:10 - loss: 368.1430 - logits_profile_predictions_loss: 277.2225 - logcount_predictions_loss: 8.5774 78/1102 [=>............................] - ETA: 5:10 - loss: 367.4469 - logits_profile_predictions_loss: 277.2087 - logcount_predictions_loss: 8.5130 79/1102 [=>............................] - ETA: 5:09 - loss: 366.7670 - logits_profile_predictions_loss: 277.1965 - logcount_predictions_loss: 8.4501 80/1102 [=>............................] - ETA: 5:09 - loss: 366.0997 - logits_profile_predictions_loss: 277.1831 - logcount_predictions_loss: 8.3884 81/1102 [=>............................] - ETA: 5:09 - loss: 365.4457 - logits_profile_predictions_loss: 277.1696 - logcount_predictions_loss: 8.3279 82/1102 [=>............................] - ETA: 5:08 - loss: 364.8042 - logits_profile_predictions_loss: 277.1555 - logcount_predictions_loss: 8.2687 83/1102 [=>............................] - ETA: 5:08 - loss: 364.1751 - logits_profile_predictions_loss: 277.1411 - logcount_predictions_loss: 8.2108 84/1102 [=>............................] - ETA: 5:08 - loss: 363.5580 - logits_profile_predictions_loss: 277.1268 - logcount_predictions_loss: 8.1539 85/1102 [=>............................] - ETA: 5:07 - loss: 362.9577 - logits_profile_predictions_loss: 277.1169 - logcount_predictions_loss: 8.0982 86/1102 [=>............................] - ETA: 5:07 - loss: 362.3730 - logits_profile_predictions_loss: 277.1107 - logcount_predictions_loss: 8.0436 87/1102 [=>............................] - ETA: 5:07 - loss: 361.7972 - logits_profile_predictions_loss: 277.1024 - logcount_predictions_loss: 7.9901 88/1102 [=>............................] - ETA: 5:07 - loss: 361.2344 - logits_profile_predictions_loss: 277.0959 - logcount_predictions_loss: 7.9376 89/1102 [=>............................] - ETA: 5:06 - loss: 360.6853 - logits_profile_predictions_loss: 277.0921 - logcount_predictions_loss: 7.8861 90/1102 [=>............................] - ETA: 5:06 - loss: 360.1466 - logits_profile_predictions_loss: 277.0887 - logcount_predictions_loss: 7.8357 91/1102 [=>............................] - ETA: 5:06 - loss: 359.6193 - logits_profile_predictions_loss: 277.0864 - logcount_predictions_loss: 7.7861 92/1102 [=>............................] - ETA: 5:05 - loss: 359.1016 - logits_profile_predictions_loss: 277.0842 - logcount_predictions_loss: 7.7375 93/1102 [=>............................] - ETA: 5:05 - loss: 358.5873 - logits_profile_predictions_loss: 277.0767 - logcount_predictions_loss: 7.6897 94/1102 [=>............................] - ETA: 5:05 - loss: 358.0800 - logits_profile_predictions_loss: 277.0674 - logcount_predictions_loss: 7.6427 95/1102 [=>............................] - ETA: 5:05 - loss: 357.5820 - logits_profile_predictions_loss: 277.0585 - logcount_predictions_loss: 7.5966 96/1102 [=>............................] - ETA: 5:04 - loss: 357.0927 - logits_profile_predictions_loss: 277.0495 - logcount_predictions_loss: 7.5512 97/1102 [=>............................] - ETA: 5:04 - loss: 356.6104 - logits_profile_predictions_loss: 277.0394 - logcount_predictions_loss: 7.5067 98/1102 [=>............................] - ETA: 5:04 - loss: 356.1382 - logits_profile_predictions_loss: 277.0309 - logcount_predictions_loss: 7.4630 99/1102 [=>............................] - ETA: 5:03 - loss: 355.6720 - logits_profile_predictions_loss: 277.0208 - logcount_predictions_loss: 7.4199 100/1102 [=>............................] - ETA: 5:03 - loss: 355.2126 - logits_profile_predictions_loss: 277.0099 - logcount_predictions_loss: 7.3776 101/1102 [=>............................] - ETA: 5:03 - loss: 354.7603 - logits_profile_predictions_loss: 276.9986 - logcount_predictions_loss: 7.3360 102/1102 [=>............................] - ETA: 5:02 - loss: 354.3158 - logits_profile_predictions_loss: 276.9878 - logcount_predictions_loss: 7.2951 103/1102 [=>............................] - ETA: 5:02 - loss: 353.8777 - logits_profile_predictions_loss: 276.9763 - logcount_predictions_loss: 7.2548 104/1102 [=>............................] - ETA: 5:02 - loss: 353.4469 - logits_profile_predictions_loss: 276.9650 - logcount_predictions_loss: 7.2153 105/1102 [=>............................] - ETA: 5:02 - loss: 353.0206 - logits_profile_predictions_loss: 276.9516 - logcount_predictions_loss: 7.1763 106/1102 [=>............................] - ETA: 5:01 - loss: 352.6019 - logits_profile_predictions_loss: 276.9393 - logcount_predictions_loss: 7.1380 107/1102 [=>............................] - ETA: 5:01 - loss: 352.1896 - logits_profile_predictions_loss: 276.9268 - logcount_predictions_loss: 7.1003 108/1102 [=>............................] - ETA: 5:01 - loss: 351.7811 - logits_profile_predictions_loss: 276.9123 - logcount_predictions_loss: 7.0631 109/1102 [=>............................] - ETA: 5:00 - loss: 351.3791 - logits_profile_predictions_loss: 276.8979 - logcount_predictions_loss: 7.0265 110/1102 [=>............................] - ETA: 5:00 - loss: 350.9817 - logits_profile_predictions_loss: 276.8822 - logcount_predictions_loss: 6.9905 111/1102 [==>...........................] - ETA: 5:00 - loss: 350.5912 - logits_profile_predictions_loss: 276.8677 - logcount_predictions_loss: 6.9550 112/1102 [==>...........................] - ETA: 5:00 - loss: 350.2068 - logits_profile_predictions_loss: 276.8536 - logcount_predictions_loss: 6.9201 113/1102 [==>...........................] - ETA: 4:59 - loss: 349.8261 - logits_profile_predictions_loss: 276.8378 - logcount_predictions_loss: 6.8857 114/1102 [==>...........................] - ETA: 4:59 - loss: 349.4526 - logits_profile_predictions_loss: 276.8234 - logcount_predictions_loss: 6.8518 115/1102 [==>...........................] - ETA: 4:59 - loss: 349.0843 - logits_profile_predictions_loss: 276.8090 - logcount_predictions_loss: 6.8184 116/1102 [==>...........................] - ETA: 4:58 - loss: 348.7205 - logits_profile_predictions_loss: 276.7940 - logcount_predictions_loss: 6.7855 117/1102 [==>...........................] - ETA: 4:58 - loss: 348.3600 - logits_profile_predictions_loss: 276.7773 - logcount_predictions_loss: 6.7531 118/1102 [==>...........................] - ETA: 4:58 - loss: 348.0049 - logits_profile_predictions_loss: 276.7611 - logcount_predictions_loss: 6.7211 119/1102 [==>...........................] - ETA: 4:57 - loss: 347.6560 - logits_profile_predictions_loss: 276.7461 - logcount_predictions_loss: 6.6896 120/1102 [==>...........................] - ETA: 4:57 - loss: 347.3113 - logits_profile_predictions_loss: 276.7306 - logcount_predictions_loss: 6.6586 121/1102 [==>...........................] - ETA: 4:57 - loss: 346.9704 - logits_profile_predictions_loss: 276.7143 - logcount_predictions_loss: 6.6279 122/1102 [==>...........................] - ETA: 4:57 - loss: 346.6302 - logits_profile_predictions_loss: 276.6947 - logcount_predictions_loss: 6.5977 123/1102 [==>...........................] - ETA: 4:56 - loss: 346.2968 - logits_profile_predictions_loss: 276.6770 - logcount_predictions_loss: 6.5679 124/1102 [==>...........................] - ETA: 4:56 - loss: 345.9665 - logits_profile_predictions_loss: 276.6582 - logcount_predictions_loss: 6.5385 125/1102 [==>...........................] - ETA: 4:56 - loss: 345.6406 - logits_profile_predictions_loss: 276.6397 - logcount_predictions_loss: 6.5095 126/1102 [==>...........................] - ETA: 4:55 - loss: 345.3193 - logits_profile_predictions_loss: 276.6215 - logcount_predictions_loss: 6.4809 127/1102 [==>...........................] - ETA: 4:55 - loss: 345.0020 - logits_profile_predictions_loss: 276.6033 - logcount_predictions_loss: 6.4527 128/1102 [==>...........................] - ETA: 4:55 - loss: 344.6883 - logits_profile_predictions_loss: 276.5847 - logcount_predictions_loss: 6.4249 129/1102 [==>...........................] - ETA: 4:55 - loss: 344.3788 - logits_profile_predictions_loss: 276.5665 - logcount_predictions_loss: 6.3974 130/1102 [==>...........................] - ETA: 4:54 - loss: 344.0755 - logits_profile_predictions_loss: 276.5503 - logcount_predictions_loss: 6.3703 131/1102 [==>...........................] - ETA: 4:54 - loss: 343.7748 - logits_profile_predictions_loss: 276.5331 - logcount_predictions_loss: 6.3436 132/1102 [==>...........................] - ETA: 4:54 - loss: 343.4777 - logits_profile_predictions_loss: 276.5159 - logcount_predictions_loss: 6.3172 133/1102 [==>...........................] - ETA: 4:53 - loss: 343.1833 - logits_profile_predictions_loss: 276.4980 - logcount_predictions_loss: 6.2911 134/1102 [==>...........................] - ETA: 4:53 - loss: 342.8928 - logits_profile_predictions_loss: 276.4804 - logcount_predictions_loss: 6.2653 135/1102 [==>...........................] - ETA: 4:53 - loss: 342.6044 - logits_profile_predictions_loss: 276.4616 - logcount_predictions_loss: 6.2399 136/1102 [==>...........................] - ETA: 4:52 - loss: 342.3194 - logits_profile_predictions_loss: 276.4428 - logcount_predictions_loss: 6.2148 137/1102 [==>...........................] - ETA: 4:52 - loss: 342.0397 - logits_profile_predictions_loss: 276.4257 - logcount_predictions_loss: 6.1900 138/1102 [==>...........................] - ETA: 4:52 - loss: 341.7636 - logits_profile_predictions_loss: 276.4088 - logcount_predictions_loss: 6.1655 139/1102 [==>...........................] - ETA: 4:52 - loss: 341.4915 - logits_profile_predictions_loss: 276.3927 - logcount_predictions_loss: 6.1414 140/1102 [==>...........................] - ETA: 4:51 - loss: 341.2232 - logits_profile_predictions_loss: 276.3771 - logcount_predictions_loss: 6.1176 141/1102 [==>...........................] - ETA: 4:51 - loss: 340.9573 - logits_profile_predictions_loss: 276.3610 - logcount_predictions_loss: 6.0940 142/1102 [==>...........................] - ETA: 4:51 - loss: 340.6943 - logits_profile_predictions_loss: 276.3448 - logcount_predictions_loss: 6.0707 143/1102 [==>...........................] - ETA: 4:50 - loss: 340.4330 - logits_profile_predictions_loss: 276.3275 - logcount_predictions_loss: 6.0477 144/1102 [==>...........................] - ETA: 4:50 - loss: 340.1764 - logits_profile_predictions_loss: 276.3119 - logcount_predictions_loss: 6.0250 145/1102 [==>...........................] - ETA: 4:50 - loss: 339.9228 - logits_profile_predictions_loss: 276.2963 - logcount_predictions_loss: 6.0025 146/1102 [==>...........................] - ETA: 4:49 - loss: 339.6727 - logits_profile_predictions_loss: 276.2813 - logcount_predictions_loss: 5.9803 147/1102 [===>..........................] - ETA: 4:49 - loss: 339.4254 - logits_profile_predictions_loss: 276.2664 - logcount_predictions_loss: 5.9584 148/1102 [===>..........................] - ETA: 4:49 - loss: 339.1805 - logits_profile_predictions_loss: 276.2513 - logcount_predictions_loss: 5.9367 149/1102 [===>..........................] - ETA: 4:49 - loss: 338.9398 - logits_profile_predictions_loss: 276.2373 - logcount_predictions_loss: 5.9153 150/1102 [===>..........................] - ETA: 4:48 - loss: 338.7028 - logits_profile_predictions_loss: 276.2245 - logcount_predictions_loss: 5.8942 151/1102 [===>..........................] - ETA: 4:48 - loss: 338.4700 - logits_profile_predictions_loss: 276.2131 - logcount_predictions_loss: 5.8733 152/1102 [===>..........................] - ETA: 4:48 - loss: 338.2395 - logits_profile_predictions_loss: 276.2015 - logcount_predictions_loss: 5.8526 153/1102 [===>..........................] - ETA: 4:47 - loss: 338.0120 - logits_profile_predictions_loss: 276.1905 - logcount_predictions_loss: 5.8322 154/1102 [===>..........................] - ETA: 4:47 - loss: 337.7874 - logits_profile_predictions_loss: 276.1799 - logcount_predictions_loss: 5.8120 155/1102 [===>..........................] - ETA: 4:47 - loss: 337.5639 - logits_profile_predictions_loss: 276.1681 - logcount_predictions_loss: 5.7921 156/1102 [===>..........................] - ETA: 4:46 - loss: 337.3437 - logits_profile_predictions_loss: 276.1572 - logcount_predictions_loss: 5.7723 157/1102 [===>..........................] - ETA: 4:46 - loss: 337.1247 - logits_profile_predictions_loss: 276.1453 - logcount_predictions_loss: 5.7528 158/1102 [===>..........................] - ETA: 4:46 - loss: 336.9075 - logits_profile_predictions_loss: 276.1329 - logcount_predictions_loss: 5.7335 159/1102 [===>..........................] - ETA: 4:46 - loss: 336.6929 - logits_profile_predictions_loss: 276.1209 - logcount_predictions_loss: 5.7143 160/1102 [===>..........................] - ETA: 4:45 - loss: 336.4810 - logits_profile_predictions_loss: 276.1093 - logcount_predictions_loss: 5.6954 161/1102 [===>..........................] - ETA: 4:45 - loss: 336.2706 - logits_profile_predictions_loss: 276.0971 - logcount_predictions_loss: 5.6767 162/1102 [===>..........................] - ETA: 4:45 - loss: 336.0618 - logits_profile_predictions_loss: 276.0846 - logcount_predictions_loss: 5.6582 163/1102 [===>..........................] - ETA: 4:44 - loss: 335.8565 - logits_profile_predictions_loss: 276.0731 - logcount_predictions_loss: 5.6399 164/1102 [===>..........................] - ETA: 4:44 - loss: 335.6533 - logits_profile_predictions_loss: 276.0618 - logcount_predictions_loss: 5.6218 165/1102 [===>..........................] - ETA: 4:44 - loss: 335.4529 - logits_profile_predictions_loss: 276.0511 - logcount_predictions_loss: 5.6039 166/1102 [===>..........................] - ETA: 4:44 - loss: 335.2556 - logits_profile_predictions_loss: 276.0415 - logcount_predictions_loss: 5.5862 167/1102 [===>..........................] - ETA: 4:43 - loss: 335.0614 - logits_profile_predictions_loss: 276.0328 - logcount_predictions_loss: 5.5687 168/1102 [===>..........................] - ETA: 4:43 - loss: 334.8687 - logits_profile_predictions_loss: 276.0239 - logcount_predictions_loss: 5.5514 169/1102 [===>..........................] - ETA: 4:43 - loss: 334.6793 - logits_profile_predictions_loss: 276.0162 - logcount_predictions_loss: 5.5343 170/1102 [===>..........................] - ETA: 4:42 - loss: 334.4910 - logits_profile_predictions_loss: 276.0079 - logcount_predictions_loss: 5.5173 171/1102 [===>..........................] - ETA: 4:42 - loss: 334.3060 - logits_profile_predictions_loss: 276.0008 - logcount_predictions_loss: 5.5005 172/1102 [===>..........................] - ETA: 4:42 - loss: 334.1237 - logits_profile_predictions_loss: 275.9945 - logcount_predictions_loss: 5.4839 173/1102 [===>..........................] - ETA: 4:41 - loss: 333.9432 - logits_profile_predictions_loss: 275.9883 - logcount_predictions_loss: 5.4675 174/1102 [===>..........................] - ETA: 4:41 - loss: 333.7639 - logits_profile_predictions_loss: 275.9815 - logcount_predictions_loss: 5.4512 175/1102 [===>..........................] - ETA: 4:41 - loss: 333.5858 - logits_profile_predictions_loss: 275.9743 - logcount_predictions_loss: 5.4350 176/1102 [===>..........................] - ETA: 4:41 - loss: 333.4111 - logits_profile_predictions_loss: 275.9687 - logcount_predictions_loss: 5.4191 177/1102 [===>..........................] - ETA: 4:40 - loss: 333.2383 - logits_profile_predictions_loss: 275.9631 - logcount_predictions_loss: 5.4033 178/1102 [===>..........................] - ETA: 4:40 - loss: 333.0677 - logits_profile_predictions_loss: 275.9581 - logcount_predictions_loss: 5.3877 179/1102 [===>..........................] - ETA: 4:40 - loss: 332.8997 - logits_profile_predictions_loss: 275.9540 - logcount_predictions_loss: 5.3722 180/1102 [===>..........................] - ETA: 4:39 - loss: 332.7327 - logits_profile_predictions_loss: 275.9493 - logcount_predictions_loss: 5.3569 181/1102 [===>..........................] - ETA: 4:39 - loss: 332.5662 - logits_profile_predictions_loss: 275.9438 - logcount_predictions_loss: 5.3417 182/1102 [===>..........................] - ETA: 4:39 - loss: 332.4014 - logits_profile_predictions_loss: 275.9384 - logcount_predictions_loss: 5.3267 183/1102 [===>..........................] - ETA: 4:38 - loss: 332.2384 - logits_profile_predictions_loss: 275.9333 - logcount_predictions_loss: 5.3118 184/1102 [====>.........................] - ETA: 4:38 - loss: 332.0757 - logits_profile_predictions_loss: 275.9270 - logcount_predictions_loss: 5.2970 185/1102 [====>.........................] - ETA: 4:38 - loss: 331.9149 - logits_profile_predictions_loss: 275.9213 - logcount_predictions_loss: 5.2824 186/1102 [====>.........................] - ETA: 4:38 - loss: 331.7554 - logits_profile_predictions_loss: 275.9153 - logcount_predictions_loss: 5.2679 187/1102 [====>.........................] - ETA: 4:37 - loss: 331.5969 - logits_profile_predictions_loss: 275.9089 - logcount_predictions_loss: 5.2536 188/1102 [====>.........................] - ETA: 4:37 - loss: 331.4392 - logits_profile_predictions_loss: 275.9020 - logcount_predictions_loss: 5.2394 189/1102 [====>.........................] - ETA: 4:37 - loss: 331.2825 - logits_profile_predictions_loss: 275.8947 - logcount_predictions_loss: 5.2253 190/1102 [====>.........................] - ETA: 4:36 - loss: 331.1279 - logits_profile_predictions_loss: 275.8881 - logcount_predictions_loss: 5.2113 191/1102 [====>.........................] - ETA: 4:36 - loss: 330.9752 - logits_profile_predictions_loss: 275.8818 - logcount_predictions_loss: 5.1975 192/1102 [====>.........................] - ETA: 4:36 - loss: 330.8236 - logits_profile_predictions_loss: 275.8754 - logcount_predictions_loss: 5.1838 193/1102 [====>.........................] - ETA: 4:35 - loss: 330.6736 - logits_profile_predictions_loss: 275.8693 - logcount_predictions_loss: 5.1702 194/1102 [====>.........................] - ETA: 4:35 - loss: 330.5250 - logits_profile_predictions_loss: 275.8632 - logcount_predictions_loss: 5.1568 195/1102 [====>.........................] - ETA: 4:35 - loss: 330.3775 - logits_profile_predictions_loss: 275.8570 - logcount_predictions_loss: 5.1434 196/1102 [====>.........................] - ETA: 4:35 - loss: 330.2310 - logits_profile_predictions_loss: 275.8505 - logcount_predictions_loss: 5.1302 197/1102 [====>.........................] - ETA: 4:34 - loss: 330.0855 - logits_profile_predictions_loss: 275.8438 - logcount_predictions_loss: 5.1171 198/1102 [====>.........................] - ETA: 4:34 - loss: 329.9419 - logits_profile_predictions_loss: 275.8378 - logcount_predictions_loss: 5.1042 199/1102 [====>.........................] - ETA: 4:34 - loss: 329.7998 - logits_profile_predictions_loss: 275.8320 - logcount_predictions_loss: 5.0913 200/1102 [====>.........................] - ETA: 4:33 - loss: 329.6588 - logits_profile_predictions_loss: 275.8262 - logcount_predictions_loss: 5.0786 201/1102 [====>.........................] - ETA: 4:33 - loss: 329.5195 - logits_profile_predictions_loss: 275.8208 - logcount_predictions_loss: 5.0659 202/1102 [====>.........................] - ETA: 4:33 - loss: 329.3808 - logits_profile_predictions_loss: 275.8148 - logcount_predictions_loss: 5.0534 203/1102 [====>.........................] - ETA: 4:32 - loss: 329.2438 - logits_profile_predictions_loss: 275.8094 - logcount_predictions_loss: 5.0410 204/1102 [====>.........................] - ETA: 4:32 - loss: 329.1073 - logits_profile_predictions_loss: 275.8034 - logcount_predictions_loss: 5.0287 205/1102 [====>.........................] - ETA: 4:32 - loss: 328.9724 - logits_profile_predictions_loss: 275.7979 - logcount_predictions_loss: 5.0165 206/1102 [====>.........................] - ETA: 4:32 - loss: 328.8385 - logits_profile_predictions_loss: 275.7924 - logcount_predictions_loss: 5.0044 207/1102 [====>.........................] - ETA: 4:31 - loss: 328.7058 - logits_profile_predictions_loss: 275.7869 - logcount_predictions_loss: 4.9923 208/1102 [====>.........................] - ETA: 4:31 - loss: 328.5744 - logits_profile_predictions_loss: 275.7817 - logcount_predictions_loss: 4.9804 209/1102 [====>.........................] - ETA: 4:31 - loss: 328.4435 - logits_profile_predictions_loss: 275.7760 - logcount_predictions_loss: 4.9686 210/1102 [====>.........................] - ETA: 4:30 - loss: 328.3138 - logits_profile_predictions_loss: 275.7704 - logcount_predictions_loss: 4.9569 211/1102 [====>.........................] - ETA: 4:30 - loss: 328.1850 - logits_profile_predictions_loss: 275.7647 - logcount_predictions_loss: 4.9453 212/1102 [====>.........................] - ETA: 4:30 - loss: 328.0567 - logits_profile_predictions_loss: 275.7585 - logcount_predictions_loss: 4.9338 213/1102 [====>.........................] - ETA: 4:29 - loss: 327.9305 - logits_profile_predictions_loss: 275.7534 - logcount_predictions_loss: 4.9224 214/1102 [====>.........................] - ETA: 4:29 - loss: 327.8053 - logits_profile_predictions_loss: 275.7482 - logcount_predictions_loss: 4.9111 215/1102 [====>.........................] - ETA: 4:29 - loss: 327.6800 - logits_profile_predictions_loss: 275.7420 - logcount_predictions_loss: 4.8998 216/1102 [====>.........................] - ETA: 4:29 - loss: 327.5553 - logits_profile_predictions_loss: 275.7356 - logcount_predictions_loss: 4.8887 217/1102 [====>.........................] - ETA: 4:28 - loss: 327.4314 - logits_profile_predictions_loss: 275.7290 - logcount_predictions_loss: 4.8776 218/1102 [====>.........................] - ETA: 4:28 - loss: 327.3091 - logits_profile_predictions_loss: 275.7230 - logcount_predictions_loss: 4.8666 219/1102 [====>.........................] - ETA: 4:28 - loss: 327.1883 - logits_profile_predictions_loss: 275.7174 - logcount_predictions_loss: 4.8557 220/1102 [====>.........................] - ETA: 4:27 - loss: 327.0688 - logits_profile_predictions_loss: 275.7122 - logcount_predictions_loss: 4.8450 221/1102 [=====>........................] - ETA: 4:27 - loss: 326.9509 - logits_profile_predictions_loss: 275.7077 - logcount_predictions_loss: 4.8343 222/1102 [=====>........................] - ETA: 4:27 - loss: 326.8339 - logits_profile_predictions_loss: 275.7031 - logcount_predictions_loss: 4.8237 223/1102 [=====>........................] - ETA: 4:26 - loss: 326.7179 - logits_profile_predictions_loss: 275.6986 - logcount_predictions_loss: 4.8131 224/1102 [=====>........................] - ETA: 4:26 - loss: 326.6029 - logits_profile_predictions_loss: 275.6941 - logcount_predictions_loss: 4.8027 225/1102 [=====>........................] - ETA: 4:26 - loss: 326.4887 - logits_profile_predictions_loss: 275.6897 - logcount_predictions_loss: 4.7924 226/1102 [=====>........................] - ETA: 4:26 - loss: 326.3754 - logits_profile_predictions_loss: 275.6853 - logcount_predictions_loss: 4.7821 227/1102 [=====>........................] - ETA: 4:25 - loss: 326.2626 - logits_profile_predictions_loss: 275.6807 - logcount_predictions_loss: 4.7719 228/1102 [=====>........................] - ETA: 4:25 - loss: 326.1516 - logits_profile_predictions_loss: 275.6768 - logcount_predictions_loss: 4.7618 229/1102 [=====>........................] - ETA: 4:25 - loss: 326.0414 - logits_profile_predictions_loss: 275.6729 - logcount_predictions_loss: 4.7517 230/1102 [=====>........................] - ETA: 4:24 - loss: 325.9320 - logits_profile_predictions_loss: 275.6691 - logcount_predictions_loss: 4.7418 231/1102 [=====>........................] - ETA: 4:24 - loss: 325.8233 - logits_profile_predictions_loss: 275.6651 - logcount_predictions_loss: 4.7319 232/1102 [=====>........................] - ETA: 4:24 - loss: 325.7159 - logits_profile_predictions_loss: 275.6615 - logcount_predictions_loss: 4.7221 233/1102 [=====>........................] - ETA: 4:23 - loss: 325.6091 - logits_profile_predictions_loss: 275.6579 - logcount_predictions_loss: 4.7124 234/1102 [=====>........................] - ETA: 4:23 - loss: 325.5029 - logits_profile_predictions_loss: 275.6540 - logcount_predictions_loss: 4.7027 235/1102 [=====>........................] - ETA: 4:23 - loss: 325.3977 - logits_profile_predictions_loss: 275.6504 - logcount_predictions_loss: 4.6931 236/1102 [=====>........................] - ETA: 4:23 - loss: 325.2931 - logits_profile_predictions_loss: 275.6465 - logcount_predictions_loss: 4.6836 237/1102 [=====>........................] - ETA: 4:22 - loss: 325.1893 - logits_profile_predictions_loss: 275.6427 - logcount_predictions_loss: 4.6742 238/1102 [=====>........................] - ETA: 4:22 - loss: 325.0872 - logits_profile_predictions_loss: 275.6398 - logcount_predictions_loss: 4.6648 239/1102 [=====>........................] - ETA: 4:22 - loss: 324.9854 - logits_profile_predictions_loss: 275.6365 - logcount_predictions_loss: 4.6556 240/1102 [=====>........................] - ETA: 4:21 - loss: 324.8844 - logits_profile_predictions_loss: 275.6333 - logcount_predictions_loss: 4.6463 241/1102 [=====>........................] - ETA: 4:21 - loss: 324.7843 - logits_profile_predictions_loss: 275.6302 - logcount_predictions_loss: 4.6372 242/1102 [=====>........................] - ETA: 4:21 - loss: 324.6840 - logits_profile_predictions_loss: 275.6264 - logcount_predictions_loss: 4.6281 243/1102 [=====>........................] - ETA: 4:20 - loss: 324.5846 - logits_profile_predictions_loss: 275.6228 - logcount_predictions_loss: 4.6190 244/1102 [=====>........................] - ETA: 4:20 - loss: 324.4857 - logits_profile_predictions_loss: 275.6190 - logcount_predictions_loss: 4.6101 245/1102 [=====>........................] - ETA: 4:20 - loss: 324.3873 - logits_profile_predictions_loss: 275.6150 - logcount_predictions_loss: 4.6012 246/1102 [=====>........................] - ETA: 4:20 - loss: 324.2889 - logits_profile_predictions_loss: 275.6104 - logcount_predictions_loss: 4.5923 247/1102 [=====>........................] - ETA: 4:19 - loss: 324.1911 - logits_profile_predictions_loss: 275.6058 - logcount_predictions_loss: 4.5835 248/1102 [=====>........................] - ETA: 4:19 - loss: 324.0935 - logits_profile_predictions_loss: 275.6008 - logcount_predictions_loss: 4.5748 249/1102 [=====>........................] - ETA: 4:19 - loss: 323.9972 - logits_profile_predictions_loss: 275.5963 - logcount_predictions_loss: 4.5661 250/1102 [=====>........................] - ETA: 4:18 - loss: 323.9017 - logits_profile_predictions_loss: 275.5920 - logcount_predictions_loss: 4.5575 251/1102 [=====>........................] - ETA: 4:18 - loss: 323.8070 - logits_profile_predictions_loss: 275.5878 - logcount_predictions_loss: 4.5490 252/1102 [=====>........................] - ETA: 4:18 - loss: 323.7128 - logits_profile_predictions_loss: 275.5835 - logcount_predictions_loss: 4.5405 253/1102 [=====>........................] - ETA: 4:17 - loss: 323.6196 - logits_profile_predictions_loss: 275.5796 - logcount_predictions_loss: 4.5321 254/1102 [=====>........................] - ETA: 4:17 - loss: 323.5274 - logits_profile_predictions_loss: 275.5760 - logcount_predictions_loss: 4.5237 255/1102 [=====>........................] - ETA: 4:17 - loss: 323.4359 - logits_profile_predictions_loss: 275.5724 - logcount_predictions_loss: 4.5154 256/1102 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1102/1102 [==============================] - 612s 459ms/step - loss: 302.1983 - logits_profile_predictions_loss: 273.8645 - logcount_predictions_loss: 2.6730 - val_loss: 279.9131 - val_logits_profile_predictions_loss: 275.1148 - val_logcount_predictions_loss: 0.4527 + +Epoch 00001: val_loss improved from inf to 279.91306, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 2/50 + 1/1102 [..............................] - ETA: 5:43 - loss: 321.5936 - logits_profile_predictions_loss: 316.0925 - logcount_predictions_loss: 0.5190 2/1102 [..............................] - ETA: 5:32 - loss: 309.3826 - logits_profile_predictions_loss: 303.8412 - logcount_predictions_loss: 0.5228 3/1102 [..............................] - ETA: 5:31 - loss: 303.1381 - logits_profile_predictions_loss: 297.5567 - logcount_predictions_loss: 0.5265 4/1102 [..............................] - ETA: 5:30 - loss: 298.6078 - logits_profile_predictions_loss: 293.0291 - logcount_predictions_loss: 0.5263 5/1102 [..............................] - ETA: 5:30 - loss: 294.5897 - logits_profile_predictions_loss: 289.0659 - logcount_predictions_loss: 0.5211 6/1102 [..............................] - ETA: 5:30 - loss: 291.4812 - logits_profile_predictions_loss: 286.0373 - logcount_predictions_loss: 0.5136 7/1102 [..............................] - ETA: 5:29 - loss: 289.1697 - logits_profile_predictions_loss: 283.7908 - logcount_predictions_loss: 0.5074 8/1102 [..............................] - ETA: 5:29 - loss: 287.4925 - logits_profile_predictions_loss: 282.1471 - logcount_predictions_loss: 0.5043 9/1102 [..............................] - ETA: 5:29 - loss: 285.8525 - logits_profile_predictions_loss: 280.5391 - logcount_predictions_loss: 0.5013 10/1102 [..............................] - ETA: 5:28 - loss: 284.2958 - logits_profile_predictions_loss: 279.0154 - logcount_predictions_loss: 0.4982 11/1102 [..............................] - ETA: 5:28 - loss: 282.8404 - logits_profile_predictions_loss: 277.5853 - logcount_predictions_loss: 0.4958 12/1102 [..............................] - ETA: 5:28 - loss: 281.6935 - logits_profile_predictions_loss: 276.4554 - logcount_predictions_loss: 0.4942 13/1102 [..............................] - ETA: 5:27 - loss: 280.8758 - logits_profile_predictions_loss: 275.6499 - logcount_predictions_loss: 0.4930 14/1102 [..............................] - ETA: 5:27 - loss: 280.1494 - logits_profile_predictions_loss: 274.9382 - logcount_predictions_loss: 0.4916 15/1102 [..............................] - ETA: 5:27 - loss: 279.5884 - logits_profile_predictions_loss: 274.3941 - logcount_predictions_loss: 0.4900 16/1102 [..............................] - ETA: 5:26 - loss: 279.1022 - logits_profile_predictions_loss: 273.9223 - logcount_predictions_loss: 0.4887 17/1102 [..............................] - ETA: 5:26 - loss: 278.6112 - logits_profile_predictions_loss: 273.4436 - logcount_predictions_loss: 0.4875 18/1102 [..............................] - ETA: 5:26 - loss: 278.2846 - logits_profile_predictions_loss: 273.1240 - logcount_predictions_loss: 0.4868 19/1102 [..............................] - ETA: 5:25 - loss: 277.9337 - logits_profile_predictions_loss: 272.7816 - logcount_predictions_loss: 0.4860 20/1102 [..............................] - ETA: 5:24 - loss: 277.6285 - logits_profile_predictions_loss: 272.4858 - logcount_predictions_loss: 0.4852 21/1102 [..............................] - ETA: 5:24 - loss: 277.3724 - logits_profile_predictions_loss: 272.2396 - logcount_predictions_loss: 0.4842 22/1102 [..............................] - ETA: 5:24 - loss: 277.1433 - logits_profile_predictions_loss: 272.0179 - logcount_predictions_loss: 0.4835 23/1102 [..............................] - ETA: 5:24 - loss: 276.9595 - logits_profile_predictions_loss: 271.8402 - logcount_predictions_loss: 0.4829 24/1102 [..............................] - ETA: 5:23 - loss: 276.7603 - logits_profile_predictions_loss: 271.6465 - logcount_predictions_loss: 0.4824 25/1102 [..............................] - ETA: 5:23 - loss: 276.5206 - logits_profile_predictions_loss: 271.4125 - logcount_predictions_loss: 0.4819 26/1102 [..............................] - ETA: 5:23 - loss: 276.3427 - logits_profile_predictions_loss: 271.2374 - logcount_predictions_loss: 0.4816 27/1102 [..............................] - ETA: 5:23 - loss: 276.1984 - logits_profile_predictions_loss: 271.0944 - logcount_predictions_loss: 0.4815 28/1102 [..............................] - ETA: 5:22 - loss: 276.0178 - logits_profile_predictions_loss: 270.9165 - logcount_predictions_loss: 0.4813 29/1102 [..............................] - ETA: 5:22 - loss: 275.8797 - logits_profile_predictions_loss: 270.7799 - logcount_predictions_loss: 0.4811 30/1102 [..............................] - ETA: 5:22 - loss: 275.7513 - logits_profile_predictions_loss: 270.6532 - logcount_predictions_loss: 0.4810 31/1102 [..............................] - ETA: 5:22 - loss: 275.6394 - logits_profile_predictions_loss: 270.5434 - logcount_predictions_loss: 0.4808 32/1102 [..............................] - ETA: 5:21 - loss: 275.5192 - logits_profile_predictions_loss: 270.4246 - logcount_predictions_loss: 0.4806 33/1102 [..............................] - ETA: 5:21 - loss: 275.3741 - logits_profile_predictions_loss: 270.2812 - logcount_predictions_loss: 0.4805 34/1102 [..............................] - ETA: 5:21 - loss: 275.2636 - logits_profile_predictions_loss: 270.1709 - logcount_predictions_loss: 0.4804 35/1102 [..............................] - ETA: 5:20 - loss: 275.1716 - logits_profile_predictions_loss: 270.0786 - logcount_predictions_loss: 0.4805 36/1102 [..............................] - ETA: 5:20 - loss: 275.0929 - logits_profile_predictions_loss: 270.0000 - logcount_predictions_loss: 0.4805 37/1102 [>.............................] - ETA: 5:20 - loss: 275.0220 - logits_profile_predictions_loss: 269.9294 - logcount_predictions_loss: 0.4804 38/1102 [>.............................] - ETA: 5:20 - loss: 274.9727 - logits_profile_predictions_loss: 269.8804 - logcount_predictions_loss: 0.4804 39/1102 [>.............................] - ETA: 5:19 - loss: 274.9176 - logits_profile_predictions_loss: 269.8252 - logcount_predictions_loss: 0.4804 40/1102 [>.............................] - ETA: 5:19 - loss: 274.8638 - logits_profile_predictions_loss: 269.7706 - logcount_predictions_loss: 0.4805 41/1102 [>.............................] - ETA: 5:19 - loss: 274.8339 - logits_profile_predictions_loss: 269.7377 - logcount_predictions_loss: 0.4808 42/1102 [>.............................] - ETA: 5:19 - loss: 274.8141 - logits_profile_predictions_loss: 269.7141 - logcount_predictions_loss: 0.4811 43/1102 [>.............................] - ETA: 5:18 - loss: 274.8076 - logits_profile_predictions_loss: 269.7030 - logcount_predictions_loss: 0.4816 44/1102 [>.............................] - ETA: 5:18 - loss: 274.8105 - logits_profile_predictions_loss: 269.7012 - logcount_predictions_loss: 0.4820 45/1102 [>.............................] - ETA: 5:18 - loss: 274.8073 - logits_profile_predictions_loss: 269.6928 - logcount_predictions_loss: 0.4825 46/1102 [>.............................] - ETA: 5:17 - loss: 274.8027 - logits_profile_predictions_loss: 269.6832 - logcount_predictions_loss: 0.4830 47/1102 [>.............................] - ETA: 5:17 - loss: 274.8010 - logits_profile_predictions_loss: 269.6756 - logcount_predictions_loss: 0.4835 48/1102 [>.............................] - ETA: 5:17 - loss: 274.7944 - logits_profile_predictions_loss: 269.6634 - logcount_predictions_loss: 0.4841 49/1102 [>.............................] - ETA: 5:17 - loss: 274.7838 - logits_profile_predictions_loss: 269.6474 - logcount_predictions_loss: 0.4846 50/1102 [>.............................] - ETA: 5:16 - loss: 274.7795 - logits_profile_predictions_loss: 269.6373 - logcount_predictions_loss: 0.4851 51/1102 [>.............................] - ETA: 5:16 - loss: 274.7686 - logits_profile_predictions_loss: 269.6211 - logcount_predictions_loss: 0.4856 52/1102 [>.............................] - ETA: 5:16 - loss: 274.7652 - logits_profile_predictions_loss: 269.6121 - logcount_predictions_loss: 0.4861 53/1102 [>.............................] - ETA: 5:15 - loss: 274.7606 - logits_profile_predictions_loss: 269.6020 - logcount_predictions_loss: 0.4867 54/1102 [>.............................] - ETA: 5:15 - loss: 274.7552 - logits_profile_predictions_loss: 269.5914 - logcount_predictions_loss: 0.4871 55/1102 [>.............................] - ETA: 5:15 - loss: 274.7488 - logits_profile_predictions_loss: 269.5795 - logcount_predictions_loss: 0.4877 56/1102 [>.............................] - ETA: 5:15 - loss: 274.7415 - logits_profile_predictions_loss: 269.5666 - logcount_predictions_loss: 0.4882 57/1102 [>.............................] - ETA: 5:14 - loss: 274.7325 - logits_profile_predictions_loss: 269.5523 - logcount_predictions_loss: 0.4887 58/1102 [>.............................] - ETA: 5:14 - loss: 274.7164 - logits_profile_predictions_loss: 269.5313 - logcount_predictions_loss: 0.4892 59/1102 [>.............................] - ETA: 5:14 - loss: 274.6906 - logits_profile_predictions_loss: 269.5010 - logcount_predictions_loss: 0.4896 60/1102 [>.............................] - ETA: 5:14 - loss: 274.6697 - logits_profile_predictions_loss: 269.4757 - logcount_predictions_loss: 0.4900 61/1102 [>.............................] - ETA: 5:13 - loss: 274.6522 - logits_profile_predictions_loss: 269.4539 - logcount_predictions_loss: 0.4904 62/1102 [>.............................] - ETA: 5:13 - loss: 274.6329 - logits_profile_predictions_loss: 269.4303 - logcount_predictions_loss: 0.4908 63/1102 [>.............................] - ETA: 5:13 - loss: 274.6095 - logits_profile_predictions_loss: 269.4028 - logcount_predictions_loss: 0.4912 64/1102 [>.............................] - ETA: 5:12 - loss: 274.5868 - logits_profile_predictions_loss: 269.3765 - logcount_predictions_loss: 0.4915 65/1102 [>.............................] - ETA: 5:12 - loss: 274.5621 - logits_profile_predictions_loss: 269.3482 - logcount_predictions_loss: 0.4919 66/1102 [>.............................] - ETA: 5:12 - loss: 274.5386 - logits_profile_predictions_loss: 269.3217 - logcount_predictions_loss: 0.4922 67/1102 [>.............................] - ETA: 5:12 - loss: 274.5167 - logits_profile_predictions_loss: 269.2968 - logcount_predictions_loss: 0.4924 68/1102 [>.............................] - ETA: 5:11 - loss: 274.4904 - logits_profile_predictions_loss: 269.2678 - logcount_predictions_loss: 0.4927 69/1102 [>.............................] - ETA: 5:11 - loss: 274.4695 - logits_profile_predictions_loss: 269.2444 - logcount_predictions_loss: 0.4929 70/1102 [>.............................] - ETA: 5:11 - loss: 274.4486 - logits_profile_predictions_loss: 269.2212 - logcount_predictions_loss: 0.4932 71/1102 [>.............................] - ETA: 5:10 - loss: 274.4288 - logits_profile_predictions_loss: 269.1993 - logcount_predictions_loss: 0.4933 72/1102 [>.............................] - ETA: 5:10 - loss: 274.4136 - logits_profile_predictions_loss: 269.1825 - logcount_predictions_loss: 0.4935 73/1102 [>.............................] - ETA: 5:10 - loss: 274.4040 - logits_profile_predictions_loss: 269.1712 - logcount_predictions_loss: 0.4937 74/1102 [=>............................] - ETA: 5:10 - loss: 274.3952 - logits_profile_predictions_loss: 269.1610 - logcount_predictions_loss: 0.4938 75/1102 [=>............................] - ETA: 5:09 - loss: 274.3905 - logits_profile_predictions_loss: 269.1550 - logcount_predictions_loss: 0.4939 76/1102 [=>............................] - ETA: 5:09 - loss: 274.3863 - logits_profile_predictions_loss: 269.1496 - logcount_predictions_loss: 0.4940 77/1102 [=>............................] - ETA: 5:09 - loss: 274.3798 - logits_profile_predictions_loss: 269.1421 - logcount_predictions_loss: 0.4941 78/1102 [=>............................] - ETA: 5:08 - loss: 274.3762 - logits_profile_predictions_loss: 269.1376 - logcount_predictions_loss: 0.4942 79/1102 [=>............................] - ETA: 5:08 - loss: 274.3717 - logits_profile_predictions_loss: 269.1323 - logcount_predictions_loss: 0.4943 80/1102 [=>............................] - ETA: 5:08 - loss: 274.3675 - logits_profile_predictions_loss: 269.1275 - logcount_predictions_loss: 0.4943 81/1102 [=>............................] - ETA: 5:08 - loss: 274.3633 - logits_profile_predictions_loss: 269.1227 - logcount_predictions_loss: 0.4944 82/1102 [=>............................] - ETA: 5:07 - loss: 274.3597 - logits_profile_predictions_loss: 269.1185 - logcount_predictions_loss: 0.4945 83/1102 [=>............................] - ETA: 5:07 - loss: 274.3544 - logits_profile_predictions_loss: 269.1128 - logcount_predictions_loss: 0.4945 84/1102 [=>............................] - ETA: 5:07 - loss: 274.3471 - logits_profile_predictions_loss: 269.1057 - logcount_predictions_loss: 0.4945 85/1102 [=>............................] - ETA: 5:06 - loss: 274.3418 - logits_profile_predictions_loss: 269.1005 - logcount_predictions_loss: 0.4945 86/1102 [=>............................] - ETA: 5:06 - loss: 274.3369 - logits_profile_predictions_loss: 269.0961 - logcount_predictions_loss: 0.4944 87/1102 [=>............................] - ETA: 5:06 - loss: 274.3302 - logits_profile_predictions_loss: 269.0900 - logcount_predictions_loss: 0.4944 88/1102 [=>............................] - ETA: 5:06 - loss: 274.3249 - logits_profile_predictions_loss: 269.0852 - logcount_predictions_loss: 0.4943 89/1102 [=>............................] - ETA: 5:05 - loss: 274.3209 - logits_profile_predictions_loss: 269.0818 - logcount_predictions_loss: 0.4943 90/1102 [=>............................] - ETA: 5:05 - loss: 274.3145 - logits_profile_predictions_loss: 269.0760 - logcount_predictions_loss: 0.4942 91/1102 [=>............................] - ETA: 5:05 - loss: 274.3055 - logits_profile_predictions_loss: 269.0676 - logcount_predictions_loss: 0.4941 92/1102 [=>............................] - ETA: 5:04 - loss: 274.2908 - logits_profile_predictions_loss: 269.0535 - logcount_predictions_loss: 0.4941 93/1102 [=>............................] - ETA: 5:04 - loss: 274.2787 - logits_profile_predictions_loss: 269.0420 - logcount_predictions_loss: 0.4940 94/1102 [=>............................] - ETA: 5:04 - loss: 274.2637 - logits_profile_predictions_loss: 269.0277 - logcount_predictions_loss: 0.4940 95/1102 [=>............................] - ETA: 5:04 - loss: 274.2484 - logits_profile_predictions_loss: 269.0132 - logcount_predictions_loss: 0.4939 96/1102 [=>............................] - ETA: 5:03 - loss: 274.2325 - logits_profile_predictions_loss: 268.9983 - logcount_predictions_loss: 0.4938 97/1102 [=>............................] - ETA: 5:03 - loss: 274.2183 - logits_profile_predictions_loss: 268.9851 - logcount_predictions_loss: 0.4937 98/1102 [=>............................] - ETA: 5:03 - loss: 274.2062 - logits_profile_predictions_loss: 268.9740 - logcount_predictions_loss: 0.4936 99/1102 [=>............................] - ETA: 5:02 - loss: 274.1929 - logits_profile_predictions_loss: 268.9619 - logcount_predictions_loss: 0.4935 100/1102 [=>............................] - ETA: 5:02 - loss: 274.1792 - logits_profile_predictions_loss: 268.9494 - logcount_predictions_loss: 0.4934 101/1102 [=>............................] - ETA: 5:02 - loss: 274.1678 - logits_profile_predictions_loss: 268.9394 - logcount_predictions_loss: 0.4932 102/1102 [=>............................] - ETA: 5:02 - loss: 274.1556 - logits_profile_predictions_loss: 268.9286 - logcount_predictions_loss: 0.4931 103/1102 [=>............................] - ETA: 5:01 - loss: 274.1428 - logits_profile_predictions_loss: 268.9173 - logcount_predictions_loss: 0.4930 104/1102 [=>............................] - ETA: 5:01 - loss: 274.1320 - logits_profile_predictions_loss: 268.9079 - logcount_predictions_loss: 0.4928 105/1102 [=>............................] - ETA: 5:01 - loss: 274.1217 - logits_profile_predictions_loss: 268.8990 - logcount_predictions_loss: 0.4927 106/1102 [=>............................] - ETA: 5:00 - loss: 274.1117 - logits_profile_predictions_loss: 268.8905 - logcount_predictions_loss: 0.4926 107/1102 [=>............................] - ETA: 5:00 - loss: 274.1013 - logits_profile_predictions_loss: 268.8815 - logcount_predictions_loss: 0.4924 108/1102 [=>............................] - ETA: 5:00 - loss: 274.0891 - logits_profile_predictions_loss: 268.8706 - logcount_predictions_loss: 0.4923 109/1102 [=>............................] - ETA: 5:00 - loss: 274.0760 - logits_profile_predictions_loss: 268.8589 - logcount_predictions_loss: 0.4922 110/1102 [=>............................] - ETA: 4:59 - loss: 274.0616 - logits_profile_predictions_loss: 268.8457 - logcount_predictions_loss: 0.4921 111/1102 [==>...........................] - ETA: 4:59 - loss: 274.0478 - logits_profile_predictions_loss: 268.8333 - logcount_predictions_loss: 0.4919 112/1102 [==>...........................] - ETA: 4:59 - loss: 274.0367 - logits_profile_predictions_loss: 268.8232 - logcount_predictions_loss: 0.4918 113/1102 [==>...........................] - ETA: 4:58 - loss: 274.0243 - logits_profile_predictions_loss: 268.8118 - logcount_predictions_loss: 0.4917 114/1102 [==>...........................] - ETA: 4:58 - loss: 274.0120 - logits_profile_predictions_loss: 268.8007 - logcount_predictions_loss: 0.4916 115/1102 [==>...........................] - ETA: 4:58 - loss: 273.9994 - logits_profile_predictions_loss: 268.7894 - logcount_predictions_loss: 0.4915 116/1102 [==>...........................] - ETA: 4:58 - loss: 273.9859 - logits_profile_predictions_loss: 268.7770 - logcount_predictions_loss: 0.4914 117/1102 [==>...........................] - ETA: 4:57 - loss: 273.9709 - logits_profile_predictions_loss: 268.7634 - logcount_predictions_loss: 0.4913 118/1102 [==>...........................] - ETA: 4:57 - loss: 273.9564 - logits_profile_predictions_loss: 268.7502 - logcount_predictions_loss: 0.4912 119/1102 [==>...........................] - ETA: 4:57 - loss: 273.9436 - logits_profile_predictions_loss: 268.7386 - logcount_predictions_loss: 0.4910 120/1102 [==>...........................] - ETA: 4:56 - loss: 273.9315 - logits_profile_predictions_loss: 268.7278 - logcount_predictions_loss: 0.4909 121/1102 [==>...........................] - ETA: 4:56 - loss: 273.9202 - logits_profile_predictions_loss: 268.7177 - logcount_predictions_loss: 0.4908 122/1102 [==>...........................] - ETA: 4:56 - loss: 273.9080 - logits_profile_predictions_loss: 268.7067 - logcount_predictions_loss: 0.4907 123/1102 [==>...........................] - ETA: 4:55 - loss: 273.8955 - logits_profile_predictions_loss: 268.6955 - logcount_predictions_loss: 0.4906 124/1102 [==>...........................] - ETA: 4:55 - loss: 273.8816 - logits_profile_predictions_loss: 268.6829 - logcount_predictions_loss: 0.4905 125/1102 [==>...........................] - ETA: 4:55 - loss: 273.8684 - logits_profile_predictions_loss: 268.6709 - logcount_predictions_loss: 0.4903 126/1102 [==>...........................] - ETA: 4:55 - loss: 273.8553 - logits_profile_predictions_loss: 268.6590 - logcount_predictions_loss: 0.4902 127/1102 [==>...........................] - ETA: 4:54 - loss: 273.8419 - logits_profile_predictions_loss: 268.6467 - logcount_predictions_loss: 0.4901 128/1102 [==>...........................] - ETA: 4:54 - loss: 273.8290 - logits_profile_predictions_loss: 268.6349 - logcount_predictions_loss: 0.4900 129/1102 [==>...........................] - ETA: 4:54 - loss: 273.8156 - logits_profile_predictions_loss: 268.6227 - logcount_predictions_loss: 0.4899 130/1102 [==>...........................] - ETA: 4:53 - loss: 273.8046 - logits_profile_predictions_loss: 268.6128 - logcount_predictions_loss: 0.4898 131/1102 [==>...........................] - ETA: 4:53 - loss: 273.7938 - logits_profile_predictions_loss: 268.6031 - logcount_predictions_loss: 0.4897 132/1102 [==>...........................] - ETA: 4:53 - loss: 273.7819 - logits_profile_predictions_loss: 268.5924 - logcount_predictions_loss: 0.4896 133/1102 [==>...........................] - ETA: 4:53 - loss: 273.7700 - logits_profile_predictions_loss: 268.5817 - logcount_predictions_loss: 0.4895 134/1102 [==>...........................] - ETA: 4:52 - loss: 273.7580 - logits_profile_predictions_loss: 268.5709 - logcount_predictions_loss: 0.4894 135/1102 [==>...........................] - ETA: 4:52 - loss: 273.7457 - logits_profile_predictions_loss: 268.5596 - logcount_predictions_loss: 0.4893 136/1102 [==>...........................] - ETA: 4:52 - loss: 273.7330 - logits_profile_predictions_loss: 268.5479 - logcount_predictions_loss: 0.4892 137/1102 [==>...........................] - ETA: 4:51 - loss: 273.7199 - logits_profile_predictions_loss: 268.5358 - logcount_predictions_loss: 0.4891 138/1102 [==>...........................] - ETA: 4:51 - loss: 273.7066 - logits_profile_predictions_loss: 268.5236 - logcount_predictions_loss: 0.4890 139/1102 [==>...........................] - ETA: 4:51 - loss: 273.6927 - logits_profile_predictions_loss: 268.5107 - logcount_predictions_loss: 0.4889 140/1102 [==>...........................] - ETA: 4:50 - loss: 273.6803 - logits_profile_predictions_loss: 268.4994 - logcount_predictions_loss: 0.4888 141/1102 [==>...........................] - ETA: 4:50 - loss: 273.6692 - logits_profile_predictions_loss: 268.4894 - logcount_predictions_loss: 0.4887 142/1102 [==>...........................] - ETA: 4:50 - loss: 273.6580 - logits_profile_predictions_loss: 268.4791 - logcount_predictions_loss: 0.4886 143/1102 [==>...........................] - ETA: 4:50 - loss: 273.6462 - logits_profile_predictions_loss: 268.4684 - logcount_predictions_loss: 0.4885 144/1102 [==>...........................] - ETA: 4:49 - loss: 273.6344 - logits_profile_predictions_loss: 268.4576 - logcount_predictions_loss: 0.4884 145/1102 [==>...........................] - ETA: 4:49 - loss: 273.6221 - logits_profile_predictions_loss: 268.4463 - logcount_predictions_loss: 0.4883 146/1102 [==>...........................] - ETA: 4:49 - loss: 273.6104 - logits_profile_predictions_loss: 268.4356 - logcount_predictions_loss: 0.4882 147/1102 [===>..........................] - ETA: 4:48 - loss: 273.5991 - logits_profile_predictions_loss: 268.4253 - logcount_predictions_loss: 0.4881 148/1102 [===>..........................] - ETA: 4:48 - loss: 273.5868 - logits_profile_predictions_loss: 268.4140 - logcount_predictions_loss: 0.4880 149/1102 [===>..........................] - ETA: 4:48 - loss: 273.5751 - logits_profile_predictions_loss: 268.4034 - logcount_predictions_loss: 0.4879 150/1102 [===>..........................] - ETA: 4:48 - loss: 273.5638 - logits_profile_predictions_loss: 268.3931 - logcount_predictions_loss: 0.4878 151/1102 [===>..........................] - ETA: 4:47 - loss: 273.5523 - logits_profile_predictions_loss: 268.3827 - logcount_predictions_loss: 0.4877 152/1102 [===>..........................] - ETA: 4:47 - loss: 273.5409 - logits_profile_predictions_loss: 268.3723 - logcount_predictions_loss: 0.4876 153/1102 [===>..........................] - ETA: 4:47 - loss: 273.5290 - logits_profile_predictions_loss: 268.3614 - logcount_predictions_loss: 0.4875 154/1102 [===>..........................] - ETA: 4:46 - loss: 273.5165 - logits_profile_predictions_loss: 268.3500 - logcount_predictions_loss: 0.4874 155/1102 [===>..........................] - ETA: 4:46 - loss: 273.5056 - logits_profile_predictions_loss: 268.3402 - logcount_predictions_loss: 0.4873 156/1102 [===>..........................] - ETA: 4:46 - loss: 273.4954 - logits_profile_predictions_loss: 268.3309 - logcount_predictions_loss: 0.4872 157/1102 [===>..........................] - ETA: 4:45 - loss: 273.4852 - logits_profile_predictions_loss: 268.3218 - logcount_predictions_loss: 0.4871 158/1102 [===>..........................] - ETA: 4:45 - loss: 273.4750 - logits_profile_predictions_loss: 268.3126 - logcount_predictions_loss: 0.4870 159/1102 [===>..........................] - ETA: 4:45 - loss: 273.4670 - logits_profile_predictions_loss: 268.3057 - logcount_predictions_loss: 0.4869 160/1102 [===>..........................] - ETA: 4:45 - loss: 273.4594 - logits_profile_predictions_loss: 268.2991 - logcount_predictions_loss: 0.4868 161/1102 [===>..........................] - ETA: 4:44 - loss: 273.4517 - logits_profile_predictions_loss: 268.2925 - logcount_predictions_loss: 0.4867 162/1102 [===>..........................] - ETA: 4:44 - loss: 273.4427 - logits_profile_predictions_loss: 268.2846 - logcount_predictions_loss: 0.4866 163/1102 [===>..........................] - ETA: 4:44 - loss: 273.4339 - logits_profile_predictions_loss: 268.2769 - logcount_predictions_loss: 0.4865 164/1102 [===>..........................] - ETA: 4:43 - loss: 273.4266 - logits_profile_predictions_loss: 268.2706 - logcount_predictions_loss: 0.4864 165/1102 [===>..........................] - ETA: 4:43 - loss: 273.4194 - logits_profile_predictions_loss: 268.2645 - logcount_predictions_loss: 0.4863 166/1102 [===>..........................] - ETA: 4:43 - loss: 273.4121 - logits_profile_predictions_loss: 268.2582 - logcount_predictions_loss: 0.4862 167/1102 [===>..........................] - ETA: 4:42 - loss: 273.4047 - logits_profile_predictions_loss: 268.2519 - logcount_predictions_loss: 0.4861 168/1102 [===>..........................] - ETA: 4:42 - loss: 273.3984 - logits_profile_predictions_loss: 268.2466 - logcount_predictions_loss: 0.4860 169/1102 [===>..........................] - ETA: 4:42 - loss: 273.3929 - logits_profile_predictions_loss: 268.2422 - logcount_predictions_loss: 0.4859 170/1102 [===>..........................] - ETA: 4:42 - loss: 273.3867 - logits_profile_predictions_loss: 268.2371 - logcount_predictions_loss: 0.4858 171/1102 [===>..........................] - ETA: 4:41 - loss: 273.3807 - logits_profile_predictions_loss: 268.2322 - logcount_predictions_loss: 0.4857 172/1102 [===>..........................] - ETA: 4:41 - loss: 273.3750 - logits_profile_predictions_loss: 268.2274 - logcount_predictions_loss: 0.4856 173/1102 [===>..........................] - ETA: 4:41 - loss: 273.3687 - logits_profile_predictions_loss: 268.2222 - logcount_predictions_loss: 0.4855 174/1102 [===>..........................] - ETA: 4:40 - loss: 273.3626 - logits_profile_predictions_loss: 268.2171 - logcount_predictions_loss: 0.4854 175/1102 [===>..........................] - ETA: 4:40 - loss: 273.3572 - logits_profile_predictions_loss: 268.2128 - logcount_predictions_loss: 0.4853 176/1102 [===>..........................] - ETA: 4:40 - loss: 273.3519 - logits_profile_predictions_loss: 268.2085 - logcount_predictions_loss: 0.4852 177/1102 [===>..........................] - ETA: 4:40 - loss: 273.3468 - logits_profile_predictions_loss: 268.2045 - logcount_predictions_loss: 0.4851 178/1102 [===>..........................] - ETA: 4:39 - loss: 273.3409 - logits_profile_predictions_loss: 268.1996 - logcount_predictions_loss: 0.4850 179/1102 [===>..........................] - ETA: 4:39 - loss: 273.3344 - logits_profile_predictions_loss: 268.1941 - logcount_predictions_loss: 0.4849 180/1102 [===>..........................] - ETA: 4:39 - loss: 273.3278 - logits_profile_predictions_loss: 268.1885 - logcount_predictions_loss: 0.4849 181/1102 [===>..........................] - ETA: 4:38 - loss: 273.3217 - logits_profile_predictions_loss: 268.1832 - logcount_predictions_loss: 0.4848 182/1102 [===>..........................] - ETA: 4:38 - loss: 273.3152 - logits_profile_predictions_loss: 268.1777 - logcount_predictions_loss: 0.4847 183/1102 [===>..........................] - ETA: 4:38 - loss: 273.3095 - logits_profile_predictions_loss: 268.1730 - logcount_predictions_loss: 0.4846 184/1102 [====>.........................] - ETA: 4:37 - loss: 273.3043 - logits_profile_predictions_loss: 268.1687 - logcount_predictions_loss: 0.4845 185/1102 [====>.........................] - ETA: 4:37 - loss: 273.2989 - logits_profile_predictions_loss: 268.1642 - logcount_predictions_loss: 0.4844 186/1102 [====>.........................] - ETA: 4:37 - loss: 273.2932 - logits_profile_predictions_loss: 268.1594 - logcount_predictions_loss: 0.4843 187/1102 [====>.........................] - ETA: 4:37 - loss: 273.2874 - logits_profile_predictions_loss: 268.1545 - logcount_predictions_loss: 0.4842 188/1102 [====>.........................] - ETA: 4:36 - loss: 273.2813 - logits_profile_predictions_loss: 268.1492 - logcount_predictions_loss: 0.4842 189/1102 [====>.........................] - ETA: 4:36 - loss: 273.2754 - logits_profile_predictions_loss: 268.1441 - logcount_predictions_loss: 0.4841 190/1102 [====>.........................] - ETA: 4:36 - loss: 273.2699 - logits_profile_predictions_loss: 268.1394 - logcount_predictions_loss: 0.4840 191/1102 [====>.........................] - ETA: 4:35 - loss: 273.2648 - logits_profile_predictions_loss: 268.1351 - logcount_predictions_loss: 0.4839 192/1102 [====>.........................] - ETA: 4:35 - loss: 273.2595 - logits_profile_predictions_loss: 268.1307 - logcount_predictions_loss: 0.4839 193/1102 [====>.........................] - ETA: 4:35 - loss: 273.2545 - logits_profile_predictions_loss: 268.1264 - logcount_predictions_loss: 0.4838 194/1102 [====>.........................] - ETA: 4:34 - loss: 273.2513 - logits_profile_predictions_loss: 268.1240 - logcount_predictions_loss: 0.4837 195/1102 [====>.........................] - ETA: 4:34 - loss: 273.2483 - logits_profile_predictions_loss: 268.1218 - logcount_predictions_loss: 0.4836 196/1102 [====>.........................] - ETA: 4:34 - loss: 273.2456 - logits_profile_predictions_loss: 268.1199 - logcount_predictions_loss: 0.4836 197/1102 [====>.........................] - ETA: 4:34 - loss: 273.2421 - logits_profile_predictions_loss: 268.1171 - logcount_predictions_loss: 0.4835 198/1102 [====>.........................] - ETA: 4:33 - loss: 273.2392 - logits_profile_predictions_loss: 268.1149 - logcount_predictions_loss: 0.4834 199/1102 [====>.........................] - ETA: 4:33 - loss: 273.2365 - logits_profile_predictions_loss: 268.1130 - logcount_predictions_loss: 0.4834 200/1102 [====>.........................] - ETA: 4:33 - loss: 273.2337 - logits_profile_predictions_loss: 268.1110 - logcount_predictions_loss: 0.4833 201/1102 [====>.........................] - ETA: 4:32 - loss: 273.2311 - logits_profile_predictions_loss: 268.1092 - logcount_predictions_loss: 0.4832 202/1102 [====>.........................] - ETA: 4:32 - loss: 273.2286 - logits_profile_predictions_loss: 268.1074 - logcount_predictions_loss: 0.4831 203/1102 [====>.........................] - ETA: 4:32 - loss: 273.2262 - logits_profile_predictions_loss: 268.1059 - logcount_predictions_loss: 0.4831 204/1102 [====>.........................] - ETA: 4:32 - loss: 273.2239 - logits_profile_predictions_loss: 268.1044 - logcount_predictions_loss: 0.4830 205/1102 [====>.........................] - ETA: 4:31 - loss: 273.2215 - logits_profile_predictions_loss: 268.1028 - logcount_predictions_loss: 0.4829 206/1102 [====>.........................] - ETA: 4:31 - loss: 273.2186 - logits_profile_predictions_loss: 268.1007 - logcount_predictions_loss: 0.4828 207/1102 [====>.........................] - ETA: 4:31 - loss: 273.2153 - logits_profile_predictions_loss: 268.0982 - logcount_predictions_loss: 0.4828 208/1102 [====>.........................] - ETA: 4:30 - loss: 273.2127 - logits_profile_predictions_loss: 268.0964 - logcount_predictions_loss: 0.4827 209/1102 [====>.........................] - ETA: 4:30 - loss: 273.2101 - logits_profile_predictions_loss: 268.0945 - logcount_predictions_loss: 0.4826 210/1102 [====>.........................] - ETA: 4:30 - loss: 273.2068 - logits_profile_predictions_loss: 268.0920 - logcount_predictions_loss: 0.4825 211/1102 [====>.........................] - ETA: 4:29 - loss: 273.2035 - logits_profile_predictions_loss: 268.0894 - logcount_predictions_loss: 0.4825 212/1102 [====>.........................] - ETA: 4:29 - loss: 273.2007 - logits_profile_predictions_loss: 268.0874 - logcount_predictions_loss: 0.4824 213/1102 [====>.........................] - ETA: 4:29 - loss: 273.1977 - logits_profile_predictions_loss: 268.0851 - logcount_predictions_loss: 0.4823 214/1102 [====>.........................] - ETA: 4:29 - loss: 273.1948 - logits_profile_predictions_loss: 268.0829 - logcount_predictions_loss: 0.4823 215/1102 [====>.........................] - ETA: 4:28 - loss: 273.1922 - logits_profile_predictions_loss: 268.0811 - logcount_predictions_loss: 0.4822 216/1102 [====>.........................] - ETA: 4:28 - loss: 273.1904 - logits_profile_predictions_loss: 268.0801 - logcount_predictions_loss: 0.4821 217/1102 [====>.........................] - ETA: 4:28 - loss: 273.1892 - logits_profile_predictions_loss: 268.0797 - logcount_predictions_loss: 0.4820 218/1102 [====>.........................] - ETA: 4:27 - loss: 273.1880 - logits_profile_predictions_loss: 268.0793 - logcount_predictions_loss: 0.4820 219/1102 [====>.........................] - ETA: 4:27 - loss: 273.1865 - logits_profile_predictions_loss: 268.0786 - logcount_predictions_loss: 0.4819 220/1102 [====>.........................] - ETA: 4:27 - loss: 273.1855 - logits_profile_predictions_loss: 268.0784 - logcount_predictions_loss: 0.4818 221/1102 [=====>........................] - ETA: 4:26 - loss: 273.1842 - logits_profile_predictions_loss: 268.0779 - logcount_predictions_loss: 0.4817 222/1102 [=====>........................] - ETA: 4:26 - loss: 273.1832 - logits_profile_predictions_loss: 268.0775 - logcount_predictions_loss: 0.4817 223/1102 [=====>........................] - ETA: 4:26 - loss: 273.1825 - logits_profile_predictions_loss: 268.0777 - logcount_predictions_loss: 0.4816 224/1102 [=====>........................] - ETA: 4:26 - loss: 273.1817 - logits_profile_predictions_loss: 268.0776 - logcount_predictions_loss: 0.4815 225/1102 [=====>........................] - ETA: 4:25 - loss: 273.1807 - logits_profile_predictions_loss: 268.0773 - logcount_predictions_loss: 0.4815 226/1102 [=====>........................] - ETA: 4:25 - loss: 273.1799 - logits_profile_predictions_loss: 268.0773 - logcount_predictions_loss: 0.4814 227/1102 [=====>........................] - ETA: 4:25 - loss: 273.1788 - logits_profile_predictions_loss: 268.0770 - logcount_predictions_loss: 0.4813 228/1102 [=====>........................] - ETA: 4:24 - loss: 273.1782 - logits_profile_predictions_loss: 268.0771 - logcount_predictions_loss: 0.4812 229/1102 [=====>........................] - ETA: 4:24 - loss: 273.1781 - logits_profile_predictions_loss: 268.0777 - logcount_predictions_loss: 0.4812 230/1102 [=====>........................] - ETA: 4:24 - loss: 273.1780 - logits_profile_predictions_loss: 268.0784 - logcount_predictions_loss: 0.4811 231/1102 [=====>........................] - ETA: 4:23 - loss: 273.1781 - logits_profile_predictions_loss: 268.0793 - logcount_predictions_loss: 0.4810 232/1102 [=====>........................] - ETA: 4:23 - loss: 273.1783 - logits_profile_predictions_loss: 268.0802 - logcount_predictions_loss: 0.4810 233/1102 [=====>........................] - ETA: 4:23 - loss: 273.1786 - logits_profile_predictions_loss: 268.0813 - logcount_predictions_loss: 0.4809 234/1102 [=====>........................] - ETA: 4:23 - loss: 273.1785 - logits_profile_predictions_loss: 268.0820 - logcount_predictions_loss: 0.4808 235/1102 [=====>........................] - ETA: 4:22 - loss: 273.1782 - logits_profile_predictions_loss: 268.0825 - logcount_predictions_loss: 0.4807 236/1102 [=====>........................] - ETA: 4:22 - loss: 273.1779 - logits_profile_predictions_loss: 268.0830 - logcount_predictions_loss: 0.4807 237/1102 [=====>........................] - ETA: 4:22 - loss: 273.1779 - logits_profile_predictions_loss: 268.0838 - logcount_predictions_loss: 0.4806 238/1102 [=====>........................] - ETA: 4:21 - loss: 273.1780 - logits_profile_predictions_loss: 268.0847 - logcount_predictions_loss: 0.4805 239/1102 [=====>........................] - ETA: 4:21 - loss: 273.1782 - logits_profile_predictions_loss: 268.0857 - logcount_predictions_loss: 0.4804 240/1102 [=====>........................] - ETA: 4:21 - loss: 273.1782 - logits_profile_predictions_loss: 268.0865 - logcount_predictions_loss: 0.4804 241/1102 [=====>........................] - ETA: 4:21 - loss: 273.1779 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4803 242/1102 [=====>........................] - ETA: 4:20 - loss: 273.1775 - logits_profile_predictions_loss: 268.0874 - logcount_predictions_loss: 0.4802 243/1102 [=====>........................] - ETA: 4:20 - loss: 273.1769 - logits_profile_predictions_loss: 268.0876 - logcount_predictions_loss: 0.4801 244/1102 [=====>........................] - ETA: 4:20 - loss: 273.1761 - logits_profile_predictions_loss: 268.0876 - logcount_predictions_loss: 0.4801 245/1102 [=====>........................] - ETA: 4:19 - loss: 273.1749 - logits_profile_predictions_loss: 268.0873 - logcount_predictions_loss: 0.4800 246/1102 [=====>........................] - ETA: 4:19 - loss: 273.1738 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4799 247/1102 [=====>........................] - ETA: 4:19 - loss: 273.1729 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4798 248/1102 [=====>........................] - ETA: 4:18 - loss: 273.1722 - logits_profile_predictions_loss: 268.0870 - logcount_predictions_loss: 0.4797 249/1102 [=====>........................] - ETA: 4:18 - loss: 273.1712 - logits_profile_predictions_loss: 268.0869 - logcount_predictions_loss: 0.4797 250/1102 [=====>........................] - ETA: 4:18 - loss: 273.1703 - logits_profile_predictions_loss: 268.0868 - logcount_predictions_loss: 0.4796 251/1102 [=====>........................] - ETA: 4:18 - loss: 273.1700 - logits_profile_predictions_loss: 268.0873 - logcount_predictions_loss: 0.4795 252/1102 [=====>........................] - ETA: 4:17 - loss: 273.1693 - logits_profile_predictions_loss: 268.0874 - logcount_predictions_loss: 0.4794 253/1102 [=====>........................] - ETA: 4:17 - loss: 273.1690 - logits_profile_predictions_loss: 268.0879 - logcount_predictions_loss: 0.4794 254/1102 [=====>........................] - ETA: 4:17 - loss: 273.1689 - logits_profile_predictions_loss: 268.0886 - logcount_predictions_loss: 0.4793 255/1102 [=====>........................] - ETA: 4:16 - loss: 273.1683 - logits_profile_predictions_loss: 268.0888 - logcount_predictions_loss: 0.4792 256/1102 [=====>........................] - ETA: 4:16 - loss: 273.1674 - logits_profile_predictions_loss: 268.0887 - logcount_predictions_loss: 0.4791 257/1102 [=====>........................] - ETA: 4:16 - loss: 273.1667 - logits_profile_predictions_loss: 268.0888 - logcount_predictions_loss: 0.4790 258/1102 [======>.......................] - ETA: 4:15 - loss: 273.1662 - logits_profile_predictions_loss: 268.0892 - logcount_predictions_loss: 0.4790 259/1102 [======>.......................] - ETA: 4:15 - loss: 273.1662 - logits_profile_predictions_loss: 268.0899 - logcount_predictions_loss: 0.4789 260/1102 [======>.......................] - ETA: 4:15 - loss: 273.1658 - logits_profile_predictions_loss: 268.0903 - logcount_predictions_loss: 0.4788 261/1102 [======>.......................] - ETA: 4:15 - loss: 273.1654 - logits_profile_predictions_loss: 268.0908 - logcount_predictions_loss: 0.4787 262/1102 [======>.......................] - ETA: 4:14 - loss: 273.1652 - logits_profile_predictions_loss: 268.0914 - logcount_predictions_loss: 0.4787 263/1102 [======>.......................] - ETA: 4:14 - loss: 273.1648 - logits_profile_predictions_loss: 268.0918 - logcount_predictions_loss: 0.4786 264/1102 [======>.......................] - ETA: 4:14 - loss: 273.1642 - logits_profile_predictions_loss: 268.0919 - logcount_predictions_loss: 0.4785 265/1102 [======>.......................] - ETA: 4:13 - loss: 273.1637 - logits_profile_predictions_loss: 268.0923 - logcount_predictions_loss: 0.4784 266/1102 [======>.......................] - ETA: 4:13 - loss: 273.1637 - logits_profile_predictions_loss: 268.0930 - logcount_predictions_loss: 0.4784 267/1102 [======>.......................] - ETA: 4:13 - loss: 273.1637 - logits_profile_predictions_loss: 268.0939 - logcount_predictions_loss: 0.4783 268/1102 [======>.......................] - ETA: 4:12 - loss: 273.1638 - logits_profile_predictions_loss: 268.0946 - logcount_predictions_loss: 0.4782 269/1102 [======>.......................] - ETA: 4:12 - loss: 273.1635 - logits_profile_predictions_loss: 268.0951 - logcount_predictions_loss: 0.4782 270/1102 [======>.......................] - ETA: 4:12 - loss: 273.1633 - logits_profile_predictions_loss: 268.0956 - logcount_predictions_loss: 0.4781 271/1102 [======>.......................] - ETA: 4:12 - loss: 273.1631 - logits_profile_predictions_loss: 268.0962 - logcount_predictions_loss: 0.4780 272/1102 [======>.......................] - ETA: 4:11 - loss: 273.1628 - 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[======>.......................] - ETA: 4:09 - loss: 273.1616 - logits_profile_predictions_loss: 268.1002 - logcount_predictions_loss: 0.4775 280/1102 [======>.......................] - ETA: 4:09 - loss: 273.1613 - logits_profile_predictions_loss: 268.1005 - logcount_predictions_loss: 0.4774 281/1102 [======>.......................] - ETA: 4:09 - loss: 273.1609 - logits_profile_predictions_loss: 268.1008 - logcount_predictions_loss: 0.4774 282/1102 [======>.......................] - ETA: 4:08 - loss: 273.1605 - logits_profile_predictions_loss: 268.1011 - logcount_predictions_loss: 0.4773 283/1102 [======>.......................] - ETA: 4:08 - loss: 273.1604 - logits_profile_predictions_loss: 268.1017 - logcount_predictions_loss: 0.4772 284/1102 [======>.......................] - ETA: 4:08 - loss: 273.1606 - logits_profile_predictions_loss: 268.1025 - logcount_predictions_loss: 0.4772 285/1102 [======>.......................] - ETA: 4:07 - loss: 273.1609 - 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logits_profile_predictions_loss: 266.4866 - logcount_predictions_loss: 0.3915 179/1102 [===>..........................] - ETA: 4:40 - loss: 270.6375 - logits_profile_predictions_loss: 266.4875 - logcount_predictions_loss: 0.3915 180/1102 [===>..........................] - ETA: 4:40 - loss: 270.6386 - logits_profile_predictions_loss: 266.4884 - logcount_predictions_loss: 0.3915 181/1102 [===>..........................] - ETA: 4:40 - loss: 270.6398 - logits_profile_predictions_loss: 266.4894 - logcount_predictions_loss: 0.3915 182/1102 [===>..........................] - ETA: 4:39 - loss: 270.6406 - logits_profile_predictions_loss: 266.4899 - logcount_predictions_loss: 0.3916 183/1102 [===>..........................] - ETA: 4:39 - loss: 270.6417 - logits_profile_predictions_loss: 266.4908 - logcount_predictions_loss: 0.3916 184/1102 [====>.........................] - ETA: 4:39 - loss: 270.6420 - logits_profile_predictions_loss: 266.4909 - logcount_predictions_loss: 0.3916 185/1102 [====>.........................] - ETA: 4:38 - loss: 270.6424 - logits_profile_predictions_loss: 266.4911 - logcount_predictions_loss: 0.3916 186/1102 [====>.........................] - ETA: 4:38 - loss: 270.6425 - logits_profile_predictions_loss: 266.4910 - logcount_predictions_loss: 0.3917 187/1102 [====>.........................] - ETA: 4:38 - loss: 270.6428 - logits_profile_predictions_loss: 266.4911 - logcount_predictions_loss: 0.3917 188/1102 [====>.........................] - ETA: 4:37 - loss: 270.6435 - logits_profile_predictions_loss: 266.4917 - logcount_predictions_loss: 0.3917 189/1102 [====>.........................] - ETA: 4:37 - loss: 270.6439 - logits_profile_predictions_loss: 266.4920 - logcount_predictions_loss: 0.3917 190/1102 [====>.........................] - ETA: 4:37 - loss: 270.6446 - logits_profile_predictions_loss: 266.4926 - logcount_predictions_loss: 0.3917 191/1102 [====>.........................] - ETA: 4:37 - loss: 270.6455 - logits_profile_predictions_loss: 266.4934 - logcount_predictions_loss: 0.3917 192/1102 [====>.........................] - ETA: 4:36 - loss: 270.6466 - logits_profile_predictions_loss: 266.4943 - logcount_predictions_loss: 0.3917 193/1102 [====>.........................] - ETA: 4:36 - loss: 270.6484 - logits_profile_predictions_loss: 266.4959 - logcount_predictions_loss: 0.3917 194/1102 [====>.........................] - ETA: 4:36 - loss: 270.6509 - logits_profile_predictions_loss: 266.4983 - logcount_predictions_loss: 0.3918 195/1102 [====>.........................] - ETA: 4:35 - loss: 270.6534 - logits_profile_predictions_loss: 266.5006 - logcount_predictions_loss: 0.3918 196/1102 [====>.........................] - ETA: 4:35 - loss: 270.6566 - logits_profile_predictions_loss: 266.5037 - logcount_predictions_loss: 0.3918 197/1102 [====>.........................] - ETA: 4:35 - loss: 270.6608 - logits_profile_predictions_loss: 266.5076 - logcount_predictions_loss: 0.3918 198/1102 [====>.........................] - ETA: 4:34 - loss: 270.6647 - logits_profile_predictions_loss: 266.5114 - logcount_predictions_loss: 0.3918 199/1102 [====>.........................] - ETA: 4:34 - loss: 270.6683 - logits_profile_predictions_loss: 266.5149 - logcount_predictions_loss: 0.3918 200/1102 [====>.........................] - ETA: 4:34 - loss: 270.6717 - logits_profile_predictions_loss: 266.5182 - logcount_predictions_loss: 0.3918 201/1102 [====>.........................] - ETA: 4:34 - loss: 270.6751 - logits_profile_predictions_loss: 266.5215 - logcount_predictions_loss: 0.3919 202/1102 [====>.........................] - ETA: 4:33 - loss: 270.6786 - logits_profile_predictions_loss: 266.5248 - logcount_predictions_loss: 0.3919 203/1102 [====>.........................] - ETA: 4:33 - loss: 270.6820 - logits_profile_predictions_loss: 266.5281 - logcount_predictions_loss: 0.3919 204/1102 [====>.........................] - ETA: 4:33 - loss: 270.6862 - 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[====>.........................] - ETA: 4:30 - loss: 270.7063 - logits_profile_predictions_loss: 266.5515 - logcount_predictions_loss: 0.3920 212/1102 [====>.........................] - ETA: 4:30 - loss: 270.7084 - logits_profile_predictions_loss: 266.5534 - logcount_predictions_loss: 0.3920 213/1102 [====>.........................] - ETA: 4:30 - loss: 270.7105 - logits_profile_predictions_loss: 266.5555 - logcount_predictions_loss: 0.3920 214/1102 [====>.........................] - ETA: 4:30 - loss: 270.7134 - logits_profile_predictions_loss: 266.5583 - logcount_predictions_loss: 0.3920 215/1102 [====>.........................] - ETA: 4:29 - loss: 270.7156 - logits_profile_predictions_loss: 266.5605 - logcount_predictions_loss: 0.3920 216/1102 [====>.........................] - ETA: 4:29 - loss: 270.7176 - logits_profile_predictions_loss: 266.5624 - logcount_predictions_loss: 0.3920 217/1102 [====>.........................] - ETA: 4:29 - loss: 270.7192 - 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[=====>........................] - ETA: 4:27 - loss: 270.7285 - logits_profile_predictions_loss: 266.5732 - logcount_predictions_loss: 0.3920 225/1102 [=====>........................] - ETA: 4:26 - loss: 270.7293 - logits_profile_predictions_loss: 266.5740 - logcount_predictions_loss: 0.3920 226/1102 [=====>........................] - ETA: 4:26 - loss: 270.7299 - logits_profile_predictions_loss: 266.5746 - logcount_predictions_loss: 0.3920 227/1102 [=====>........................] - ETA: 4:26 - loss: 270.7306 - logits_profile_predictions_loss: 266.5752 - logcount_predictions_loss: 0.3920 228/1102 [=====>........................] - ETA: 4:25 - loss: 270.7308 - logits_profile_predictions_loss: 266.5755 - logcount_predictions_loss: 0.3920 229/1102 [=====>........................] - ETA: 4:25 - loss: 270.7316 - logits_profile_predictions_loss: 266.5763 - logcount_predictions_loss: 0.3920 230/1102 [=====>........................] - ETA: 4:25 - loss: 270.7328 - 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[=====>........................] - ETA: 4:23 - loss: 270.7402 - logits_profile_predictions_loss: 266.5851 - logcount_predictions_loss: 0.3920 238/1102 [=====>........................] - ETA: 4:22 - loss: 270.7402 - logits_profile_predictions_loss: 266.5852 - logcount_predictions_loss: 0.3920 239/1102 [=====>........................] - ETA: 4:22 - loss: 270.7412 - logits_profile_predictions_loss: 266.5862 - logcount_predictions_loss: 0.3920 240/1102 [=====>........................] - ETA: 4:22 - loss: 270.7420 - logits_profile_predictions_loss: 266.5871 - logcount_predictions_loss: 0.3920 241/1102 [=====>........................] - ETA: 4:21 - loss: 270.7430 - logits_profile_predictions_loss: 266.5882 - logcount_predictions_loss: 0.3920 242/1102 [=====>........................] - ETA: 4:21 - loss: 270.7438 - logits_profile_predictions_loss: 266.5891 - logcount_predictions_loss: 0.3919 243/1102 [=====>........................] - ETA: 4:21 - loss: 270.7450 - logits_profile_predictions_loss: 266.5904 - logcount_predictions_loss: 0.3919 244/1102 [=====>........................] - ETA: 4:20 - loss: 270.7459 - logits_profile_predictions_loss: 266.5915 - logcount_predictions_loss: 0.3919 245/1102 [=====>........................] - ETA: 4:20 - loss: 270.7465 - logits_profile_predictions_loss: 266.5923 - logcount_predictions_loss: 0.3919 246/1102 [=====>........................] - ETA: 4:20 - loss: 270.7468 - logits_profile_predictions_loss: 266.5927 - logcount_predictions_loss: 0.3919 247/1102 [=====>........................] - ETA: 4:20 - loss: 270.7470 - logits_profile_predictions_loss: 266.5930 - logcount_predictions_loss: 0.3919 248/1102 [=====>........................] - ETA: 4:19 - loss: 270.7467 - logits_profile_predictions_loss: 266.5929 - logcount_predictions_loss: 0.3919 249/1102 [=====>........................] - ETA: 4:19 - loss: 270.7464 - logits_profile_predictions_loss: 266.5927 - logcount_predictions_loss: 0.3919 250/1102 [=====>........................] - ETA: 4:19 - loss: 270.7464 - logits_profile_predictions_loss: 266.5929 - logcount_predictions_loss: 0.3918 251/1102 [=====>........................] - ETA: 4:18 - loss: 270.7461 - logits_profile_predictions_loss: 266.5928 - logcount_predictions_loss: 0.3918 252/1102 [=====>........................] - ETA: 4:18 - loss: 270.7455 - logits_profile_predictions_loss: 266.5924 - logcount_predictions_loss: 0.3918 253/1102 [=====>........................] - ETA: 4:18 - loss: 270.7449 - logits_profile_predictions_loss: 266.5918 - logcount_predictions_loss: 0.3918 254/1102 [=====>........................] - ETA: 4:17 - loss: 270.7440 - logits_profile_predictions_loss: 266.5912 - logcount_predictions_loss: 0.3918 255/1102 [=====>........................] - ETA: 4:17 - loss: 270.7433 - logits_profile_predictions_loss: 266.5907 - logcount_predictions_loss: 0.3918 256/1102 [=====>........................] - ETA: 4:17 - loss: 270.7427 - logits_profile_predictions_loss: 266.5902 - logcount_predictions_loss: 0.3917 257/1102 [=====>........................] - ETA: 4:17 - loss: 270.7417 - logits_profile_predictions_loss: 266.5894 - logcount_predictions_loss: 0.3917 258/1102 [======>.......................] - ETA: 4:16 - loss: 270.7403 - logits_profile_predictions_loss: 266.5882 - logcount_predictions_loss: 0.3917 259/1102 [======>.......................] - ETA: 4:16 - loss: 270.7390 - logits_profile_predictions_loss: 266.5871 - logcount_predictions_loss: 0.3917 260/1102 [======>.......................] - ETA: 4:16 - loss: 270.7372 - logits_profile_predictions_loss: 266.5856 - logcount_predictions_loss: 0.3917 261/1102 [======>.......................] - ETA: 4:15 - loss: 270.7355 - logits_profile_predictions_loss: 266.5840 - logcount_predictions_loss: 0.3916 262/1102 [======>.......................] - ETA: 4:15 - loss: 270.7338 - logits_profile_predictions_loss: 266.5826 - logcount_predictions_loss: 0.3916 263/1102 [======>.......................] - ETA: 4:15 - loss: 270.7316 - logits_profile_predictions_loss: 266.5806 - logcount_predictions_loss: 0.3916 264/1102 [======>.......................] - ETA: 4:14 - loss: 270.7289 - logits_profile_predictions_loss: 266.5782 - logcount_predictions_loss: 0.3916 265/1102 [======>.......................] - ETA: 4:14 - loss: 270.7266 - logits_profile_predictions_loss: 266.5760 - logcount_predictions_loss: 0.3916 266/1102 [======>.......................] - ETA: 4:14 - loss: 270.7245 - logits_profile_predictions_loss: 266.5741 - logcount_predictions_loss: 0.3915 267/1102 [======>.......................] - ETA: 4:14 - loss: 270.7225 - logits_profile_predictions_loss: 266.5723 - logcount_predictions_loss: 0.3915 268/1102 [======>.......................] - ETA: 4:13 - loss: 270.7207 - logits_profile_predictions_loss: 266.5707 - logcount_predictions_loss: 0.3915 269/1102 [======>.......................] - ETA: 4:13 - loss: 270.7192 - logits_profile_predictions_loss: 266.5694 - logcount_predictions_loss: 0.3915 270/1102 [======>.......................] - ETA: 4:13 - loss: 270.7175 - logits_profile_predictions_loss: 266.5679 - logcount_predictions_loss: 0.3915 271/1102 [======>.......................] - ETA: 4:12 - loss: 270.7158 - logits_profile_predictions_loss: 266.5665 - logcount_predictions_loss: 0.3915 272/1102 [======>.......................] - ETA: 4:12 - loss: 270.7141 - logits_profile_predictions_loss: 266.5649 - logcount_predictions_loss: 0.3914 273/1102 [======>.......................] - ETA: 4:12 - loss: 270.7124 - logits_profile_predictions_loss: 266.5635 - logcount_predictions_loss: 0.3914 274/1102 [======>.......................] - ETA: 4:11 - loss: 270.7107 - logits_profile_predictions_loss: 266.5620 - logcount_predictions_loss: 0.3914 275/1102 [======>.......................] - ETA: 4:11 - loss: 270.7091 - logits_profile_predictions_loss: 266.5606 - logcount_predictions_loss: 0.3914 276/1102 [======>.......................] - ETA: 4:11 - loss: 270.7071 - logits_profile_predictions_loss: 266.5589 - logcount_predictions_loss: 0.3913 277/1102 [======>.......................] - ETA: 4:10 - loss: 270.7054 - logits_profile_predictions_loss: 266.5574 - logcount_predictions_loss: 0.3913 278/1102 [======>.......................] - ETA: 4:10 - loss: 270.7038 - logits_profile_predictions_loss: 266.5561 - logcount_predictions_loss: 0.3913 279/1102 [======>.......................] - ETA: 4:10 - loss: 270.7021 - logits_profile_predictions_loss: 266.5547 - logcount_predictions_loss: 0.3913 280/1102 [======>.......................] - ETA: 4:10 - loss: 270.7002 - logits_profile_predictions_loss: 266.5530 - logcount_predictions_loss: 0.3912 281/1102 [======>.......................] - ETA: 4:09 - loss: 270.6984 - logits_profile_predictions_loss: 266.5515 - logcount_predictions_loss: 0.3912 282/1102 [======>.......................] - ETA: 4:09 - loss: 270.6969 - 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logits_profile_predictions_loss: 265.9067 - logcount_predictions_loss: 0.3740 - val_loss: 275.9939 - val_logits_profile_predictions_loss: 272.2177 - val_logcount_predictions_loss: 0.3562 + +Epoch 00003: val_loss improved from 276.27896 to 275.99387, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 4/50 + 1/1102 [..............................] - ETA: 5:46 - loss: 288.4813 - logits_profile_predictions_loss: 283.5930 - logcount_predictions_loss: 0.4612 2/1102 [..............................] - ETA: 5:33 - loss: 292.6518 - logits_profile_predictions_loss: 287.7963 - logcount_predictions_loss: 0.4581 3/1102 [..............................] - ETA: 5:33 - loss: 289.9798 - logits_profile_predictions_loss: 285.3165 - logcount_predictions_loss: 0.4399 4/1102 [..............................] - ETA: 5:33 - loss: 287.0484 - logits_profile_predictions_loss: 282.5297 - logcount_predictions_loss: 0.4263 5/1102 [..............................] - ETA: 5:33 - loss: 285.5590 - logits_profile_predictions_loss: 281.1767 - logcount_predictions_loss: 0.4134 6/1102 [..............................] - ETA: 5:32 - loss: 284.3817 - logits_profile_predictions_loss: 280.0783 - logcount_predictions_loss: 0.4060 7/1102 [..............................] - ETA: 5:32 - loss: 283.3232 - logits_profile_predictions_loss: 279.0774 - logcount_predictions_loss: 0.4005 8/1102 [..............................] - ETA: 5:32 - loss: 282.2263 - logits_profile_predictions_loss: 278.0383 - logcount_predictions_loss: 0.3951 9/1102 [..............................] - ETA: 5:32 - loss: 281.5047 - logits_profile_predictions_loss: 277.3620 - logcount_predictions_loss: 0.3908 10/1102 [..............................] - ETA: 5:31 - loss: 280.6471 - logits_profile_predictions_loss: 276.5436 - logcount_predictions_loss: 0.3871 11/1102 [..............................] - ETA: 5:31 - loss: 279.9640 - logits_profile_predictions_loss: 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25/1102 [..............................] - ETA: 5:27 - loss: 276.4322 - logits_profile_predictions_loss: 272.5910 - logcount_predictions_loss: 0.3624 26/1102 [..............................] - ETA: 5:26 - loss: 276.2379 - logits_profile_predictions_loss: 272.4025 - logcount_predictions_loss: 0.3618 27/1102 [..............................] - ETA: 5:26 - loss: 276.0432 - logits_profile_predictions_loss: 272.2127 - logcount_predictions_loss: 0.3614 28/1102 [..............................] - ETA: 5:26 - loss: 275.8778 - logits_profile_predictions_loss: 272.0529 - logcount_predictions_loss: 0.3608 29/1102 [..............................] - ETA: 5:26 - loss: 275.6991 - logits_profile_predictions_loss: 271.8781 - logcount_predictions_loss: 0.3605 30/1102 [..............................] - ETA: 5:25 - loss: 275.5139 - logits_profile_predictions_loss: 271.6966 - logcount_predictions_loss: 0.3601 31/1102 [..............................] - ETA: 5:25 - loss: 275.3477 - 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[>.............................] - ETA: 5:23 - loss: 274.4018 - logits_profile_predictions_loss: 270.5958 - logcount_predictions_loss: 0.3591 39/1102 [>.............................] - ETA: 5:23 - loss: 274.2686 - logits_profile_predictions_loss: 270.4630 - logcount_predictions_loss: 0.3590 40/1102 [>.............................] - ETA: 5:22 - loss: 274.1437 - logits_profile_predictions_loss: 270.3383 - logcount_predictions_loss: 0.3590 41/1102 [>.............................] - ETA: 5:22 - loss: 274.0261 - logits_profile_predictions_loss: 270.2212 - logcount_predictions_loss: 0.3590 42/1102 [>.............................] - ETA: 5:22 - loss: 273.9250 - logits_profile_predictions_loss: 270.1209 - logcount_predictions_loss: 0.3589 43/1102 [>.............................] - ETA: 5:21 - loss: 273.8215 - logits_profile_predictions_loss: 270.0184 - logcount_predictions_loss: 0.3588 44/1102 [>.............................] - ETA: 5:21 - loss: 273.7131 - logits_profile_predictions_loss: 269.9106 - logcount_predictions_loss: 0.3587 45/1102 [>.............................] - ETA: 5:21 - loss: 273.5946 - logits_profile_predictions_loss: 269.7922 - logcount_predictions_loss: 0.3587 46/1102 [>.............................] - ETA: 5:20 - loss: 273.4746 - logits_profile_predictions_loss: 269.6724 - logcount_predictions_loss: 0.3587 47/1102 [>.............................] - ETA: 5:20 - loss: 273.3620 - logits_profile_predictions_loss: 269.5596 - logcount_predictions_loss: 0.3587 48/1102 [>.............................] - ETA: 5:20 - loss: 273.2646 - logits_profile_predictions_loss: 269.4617 - logcount_predictions_loss: 0.3588 49/1102 [>.............................] - ETA: 5:20 - loss: 273.1791 - logits_profile_predictions_loss: 269.3760 - logcount_predictions_loss: 0.3588 50/1102 [>.............................] - ETA: 5:19 - loss: 273.0922 - logits_profile_predictions_loss: 269.2892 - logcount_predictions_loss: 0.3588 51/1102 [>.............................] - ETA: 5:19 - loss: 273.0086 - logits_profile_predictions_loss: 269.2059 - logcount_predictions_loss: 0.3587 52/1102 [>.............................] - ETA: 5:19 - loss: 272.9295 - logits_profile_predictions_loss: 269.1269 - logcount_predictions_loss: 0.3587 53/1102 [>.............................] - ETA: 5:18 - loss: 272.8422 - logits_profile_predictions_loss: 269.0384 - logcount_predictions_loss: 0.3588 54/1102 [>.............................] - ETA: 5:18 - loss: 272.7598 - logits_profile_predictions_loss: 268.9549 - logcount_predictions_loss: 0.3590 55/1102 [>.............................] - ETA: 5:18 - loss: 272.6837 - logits_profile_predictions_loss: 268.8775 - logcount_predictions_loss: 0.3591 56/1102 [>.............................] - ETA: 5:17 - loss: 272.6130 - logits_profile_predictions_loss: 268.8051 - logcount_predictions_loss: 0.3592 57/1102 [>.............................] - ETA: 5:17 - loss: 272.5507 - logits_profile_predictions_loss: 268.7412 - logcount_predictions_loss: 0.3594 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logits_profile_predictions_loss: 268.3142 - logcount_predictions_loss: 0.3600 65/1102 [>.............................] - ETA: 5:15 - loss: 272.0820 - logits_profile_predictions_loss: 268.2650 - logcount_predictions_loss: 0.3601 66/1102 [>.............................] - ETA: 5:14 - loss: 272.0403 - logits_profile_predictions_loss: 268.2234 - logcount_predictions_loss: 0.3601 67/1102 [>.............................] - ETA: 5:14 - loss: 272.0076 - logits_profile_predictions_loss: 268.1904 - logcount_predictions_loss: 0.3601 68/1102 [>.............................] - ETA: 5:14 - loss: 271.9803 - logits_profile_predictions_loss: 268.1631 - logcount_predictions_loss: 0.3601 69/1102 [>.............................] - ETA: 5:13 - loss: 271.9527 - logits_profile_predictions_loss: 268.1352 - logcount_predictions_loss: 0.3601 70/1102 [>.............................] - ETA: 5:13 - loss: 271.9287 - logits_profile_predictions_loss: 268.1108 - logcount_predictions_loss: 0.3602 71/1102 [>.............................] - ETA: 5:13 - loss: 271.9049 - logits_profile_predictions_loss: 268.0863 - logcount_predictions_loss: 0.3602 72/1102 [>.............................] - ETA: 5:12 - loss: 271.8835 - logits_profile_predictions_loss: 268.0643 - logcount_predictions_loss: 0.3603 73/1102 [>.............................] - ETA: 5:12 - loss: 271.8614 - logits_profile_predictions_loss: 268.0417 - logcount_predictions_loss: 0.3604 74/1102 [=>............................] - ETA: 5:12 - loss: 271.8423 - logits_profile_predictions_loss: 268.0218 - logcount_predictions_loss: 0.3604 75/1102 [=>............................] - ETA: 5:12 - loss: 271.8259 - logits_profile_predictions_loss: 268.0048 - logcount_predictions_loss: 0.3605 76/1102 [=>............................] - ETA: 5:11 - loss: 271.8102 - logits_profile_predictions_loss: 267.9883 - logcount_predictions_loss: 0.3606 77/1102 [=>............................] - ETA: 5:11 - loss: 271.7910 - logits_profile_predictions_loss: 267.9684 - logcount_predictions_loss: 0.3606 78/1102 [=>............................] - ETA: 5:11 - loss: 271.7705 - logits_profile_predictions_loss: 267.9474 - logcount_predictions_loss: 0.3607 79/1102 [=>............................] - ETA: 5:10 - loss: 271.7492 - logits_profile_predictions_loss: 267.9256 - logcount_predictions_loss: 0.3607 80/1102 [=>............................] - ETA: 5:10 - loss: 271.7257 - logits_profile_predictions_loss: 267.9017 - logcount_predictions_loss: 0.3608 81/1102 [=>............................] - ETA: 5:10 - loss: 271.6977 - logits_profile_predictions_loss: 267.8733 - logcount_predictions_loss: 0.3608 82/1102 [=>............................] - ETA: 5:09 - loss: 271.6705 - logits_profile_predictions_loss: 267.8459 - logcount_predictions_loss: 0.3608 83/1102 [=>............................] - ETA: 5:09 - loss: 271.6460 - logits_profile_predictions_loss: 267.8211 - logcount_predictions_loss: 0.3608 84/1102 [=>............................] - ETA: 5:09 - 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logits_profile_predictions_loss: 267.4601 - logcount_predictions_loss: 0.3613 98/1102 [=>............................] - ETA: 5:05 - loss: 271.2625 - logits_profile_predictions_loss: 267.4327 - logcount_predictions_loss: 0.3613 99/1102 [=>............................] - ETA: 5:04 - loss: 271.2369 - logits_profile_predictions_loss: 267.4068 - logcount_predictions_loss: 0.3613 100/1102 [=>............................] - ETA: 5:04 - loss: 271.2144 - logits_profile_predictions_loss: 267.3840 - logcount_predictions_loss: 0.3614 101/1102 [=>............................] - ETA: 5:04 - loss: 271.1910 - logits_profile_predictions_loss: 267.3603 - logcount_predictions_loss: 0.3614 102/1102 [=>............................] - ETA: 5:03 - loss: 271.1664 - logits_profile_predictions_loss: 267.3355 - logcount_predictions_loss: 0.3614 103/1102 [=>............................] - ETA: 5:03 - loss: 271.1424 - logits_profile_predictions_loss: 267.3113 - logcount_predictions_loss: 0.3614 104/1102 [=>............................] - ETA: 5:03 - loss: 271.1185 - logits_profile_predictions_loss: 267.2873 - logcount_predictions_loss: 0.3614 105/1102 [=>............................] - ETA: 5:02 - loss: 271.0967 - logits_profile_predictions_loss: 267.2652 - logcount_predictions_loss: 0.3615 106/1102 [=>............................] - ETA: 5:02 - loss: 271.0772 - logits_profile_predictions_loss: 267.2456 - logcount_predictions_loss: 0.3615 107/1102 [=>............................] - ETA: 5:02 - loss: 271.0585 - logits_profile_predictions_loss: 267.2269 - logcount_predictions_loss: 0.3615 108/1102 [=>............................] - ETA: 5:02 - loss: 271.0423 - logits_profile_predictions_loss: 267.2107 - logcount_predictions_loss: 0.3615 109/1102 [=>............................] - ETA: 5:01 - loss: 271.0269 - logits_profile_predictions_loss: 267.1953 - logcount_predictions_loss: 0.3615 110/1102 [=>............................] - ETA: 5:01 - loss: 271.0124 - 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[==>...........................] - ETA: 4:59 - loss: 270.9354 - logits_profile_predictions_loss: 267.1050 - logcount_predictions_loss: 0.3614 118/1102 [==>...........................] - ETA: 4:59 - loss: 270.9260 - logits_profile_predictions_loss: 267.0958 - logcount_predictions_loss: 0.3613 119/1102 [==>...........................] - ETA: 4:58 - loss: 270.9175 - logits_profile_predictions_loss: 267.0876 - logcount_predictions_loss: 0.3613 120/1102 [==>...........................] - ETA: 4:58 - loss: 270.9104 - logits_profile_predictions_loss: 267.0809 - logcount_predictions_loss: 0.3613 121/1102 [==>...........................] - ETA: 4:58 - loss: 270.9043 - logits_profile_predictions_loss: 267.0750 - logcount_predictions_loss: 0.3612 122/1102 [==>...........................] - ETA: 4:57 - loss: 270.8975 - logits_profile_predictions_loss: 267.0686 - logcount_predictions_loss: 0.3612 123/1102 [==>...........................] - ETA: 4:57 - loss: 270.8898 - logits_profile_predictions_loss: 267.0613 - logcount_predictions_loss: 0.3612 124/1102 [==>...........................] - ETA: 4:57 - loss: 270.8797 - logits_profile_predictions_loss: 267.0516 - logcount_predictions_loss: 0.3611 125/1102 [==>...........................] - ETA: 4:56 - loss: 270.8691 - logits_profile_predictions_loss: 267.0414 - logcount_predictions_loss: 0.3611 126/1102 [==>...........................] - ETA: 4:56 - loss: 270.8588 - logits_profile_predictions_loss: 267.0316 - logcount_predictions_loss: 0.3611 127/1102 [==>...........................] - ETA: 4:56 - loss: 270.8493 - logits_profile_predictions_loss: 267.0226 - logcount_predictions_loss: 0.3610 128/1102 [==>...........................] - ETA: 4:55 - loss: 270.8406 - logits_profile_predictions_loss: 267.0144 - logcount_predictions_loss: 0.3610 129/1102 [==>...........................] - ETA: 4:55 - loss: 270.8317 - logits_profile_predictions_loss: 267.0061 - logcount_predictions_loss: 0.3609 130/1102 [==>...........................] - ETA: 4:55 - loss: 270.8237 - logits_profile_predictions_loss: 266.9987 - logcount_predictions_loss: 0.3608 131/1102 [==>...........................] - ETA: 4:55 - loss: 270.8153 - logits_profile_predictions_loss: 266.9910 - logcount_predictions_loss: 0.3608 132/1102 [==>...........................] - ETA: 4:54 - loss: 270.8069 - logits_profile_predictions_loss: 266.9832 - logcount_predictions_loss: 0.3607 133/1102 [==>...........................] - ETA: 4:54 - loss: 270.7997 - logits_profile_predictions_loss: 266.9767 - logcount_predictions_loss: 0.3607 134/1102 [==>...........................] - ETA: 4:54 - loss: 270.7931 - logits_profile_predictions_loss: 266.9706 - logcount_predictions_loss: 0.3606 135/1102 [==>...........................] - ETA: 4:53 - loss: 270.7867 - logits_profile_predictions_loss: 266.9648 - logcount_predictions_loss: 0.3606 136/1102 [==>...........................] - ETA: 4:53 - loss: 270.7816 - 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[==>...........................] - ETA: 4:51 - loss: 270.7381 - logits_profile_predictions_loss: 266.9210 - logcount_predictions_loss: 0.3601 144/1102 [==>...........................] - ETA: 4:51 - loss: 270.7327 - logits_profile_predictions_loss: 266.9160 - logcount_predictions_loss: 0.3601 145/1102 [==>...........................] - ETA: 4:50 - loss: 270.7277 - logits_profile_predictions_loss: 266.9115 - logcount_predictions_loss: 0.3600 146/1102 [==>...........................] - ETA: 4:50 - loss: 270.7228 - logits_profile_predictions_loss: 266.9070 - logcount_predictions_loss: 0.3600 147/1102 [===>..........................] - ETA: 4:50 - loss: 270.7169 - logits_profile_predictions_loss: 266.9015 - logcount_predictions_loss: 0.3599 148/1102 [===>..........................] - ETA: 4:49 - loss: 270.7116 - logits_profile_predictions_loss: 266.8968 - logcount_predictions_loss: 0.3599 149/1102 [===>..........................] - ETA: 4:49 - loss: 270.7064 - 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[===>..........................] - ETA: 4:47 - loss: 270.6693 - logits_profile_predictions_loss: 266.8585 - logcount_predictions_loss: 0.3595 157/1102 [===>..........................] - ETA: 4:47 - loss: 270.6641 - logits_profile_predictions_loss: 266.8538 - logcount_predictions_loss: 0.3595 158/1102 [===>..........................] - ETA: 4:46 - loss: 270.6587 - logits_profile_predictions_loss: 266.8490 - logcount_predictions_loss: 0.3594 159/1102 [===>..........................] - ETA: 4:46 - loss: 270.6533 - logits_profile_predictions_loss: 266.8442 - logcount_predictions_loss: 0.3594 160/1102 [===>..........................] - ETA: 4:46 - loss: 270.6480 - logits_profile_predictions_loss: 266.8394 - logcount_predictions_loss: 0.3593 161/1102 [===>..........................] - ETA: 4:45 - loss: 270.6425 - logits_profile_predictions_loss: 266.8344 - logcount_predictions_loss: 0.3593 162/1102 [===>..........................] - ETA: 4:45 - loss: 270.6366 - 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logits_profile_predictions_loss: 266.7553 - logcount_predictions_loss: 0.3585 176/1102 [===>..........................] - ETA: 4:41 - loss: 270.5495 - logits_profile_predictions_loss: 266.7496 - logcount_predictions_loss: 0.3585 177/1102 [===>..........................] - ETA: 4:41 - loss: 270.5424 - logits_profile_predictions_loss: 266.7430 - logcount_predictions_loss: 0.3584 178/1102 [===>..........................] - ETA: 4:40 - loss: 270.5359 - logits_profile_predictions_loss: 266.7371 - logcount_predictions_loss: 0.3584 179/1102 [===>..........................] - ETA: 4:40 - loss: 270.5280 - logits_profile_predictions_loss: 266.7297 - logcount_predictions_loss: 0.3583 180/1102 [===>..........................] - ETA: 4:40 - loss: 270.5207 - logits_profile_predictions_loss: 266.7229 - logcount_predictions_loss: 0.3583 181/1102 [===>..........................] - ETA: 4:39 - loss: 270.5132 - logits_profile_predictions_loss: 266.7160 - logcount_predictions_loss: 0.3582 182/1102 [===>..........................] - ETA: 4:39 - loss: 270.5058 - logits_profile_predictions_loss: 266.7091 - logcount_predictions_loss: 0.3582 183/1102 [===>..........................] - ETA: 4:39 - loss: 270.4991 - logits_profile_predictions_loss: 266.7028 - logcount_predictions_loss: 0.3581 184/1102 [====>.........................] - ETA: 4:39 - loss: 270.4921 - logits_profile_predictions_loss: 266.6963 - logcount_predictions_loss: 0.3581 185/1102 [====>.........................] - ETA: 4:38 - loss: 270.4850 - logits_profile_predictions_loss: 266.6897 - logcount_predictions_loss: 0.3580 186/1102 [====>.........................] - ETA: 4:38 - loss: 270.4784 - logits_profile_predictions_loss: 266.6836 - logcount_predictions_loss: 0.3580 187/1102 [====>.........................] - ETA: 4:38 - loss: 270.4716 - logits_profile_predictions_loss: 266.6772 - logcount_predictions_loss: 0.3580 188/1102 [====>.........................] - ETA: 4:37 - loss: 270.4650 - logits_profile_predictions_loss: 266.6711 - logcount_predictions_loss: 0.3579 189/1102 [====>.........................] - ETA: 4:37 - loss: 270.4582 - logits_profile_predictions_loss: 266.6648 - logcount_predictions_loss: 0.3579 190/1102 [====>.........................] - ETA: 4:37 - loss: 270.4518 - logits_profile_predictions_loss: 266.6589 - logcount_predictions_loss: 0.3578 191/1102 [====>.........................] - ETA: 4:36 - loss: 270.4453 - logits_profile_predictions_loss: 266.6529 - logcount_predictions_loss: 0.3578 192/1102 [====>.........................] - ETA: 4:36 - loss: 270.4389 - logits_profile_predictions_loss: 266.6470 - logcount_predictions_loss: 0.3577 193/1102 [====>.........................] - ETA: 4:36 - loss: 270.4323 - logits_profile_predictions_loss: 266.6409 - logcount_predictions_loss: 0.3577 194/1102 [====>.........................] - ETA: 4:35 - loss: 270.4256 - logits_profile_predictions_loss: 266.6348 - logcount_predictions_loss: 0.3576 195/1102 [====>.........................] - ETA: 4:35 - loss: 270.4183 - logits_profile_predictions_loss: 266.6280 - logcount_predictions_loss: 0.3576 196/1102 [====>.........................] - ETA: 4:35 - loss: 270.4111 - logits_profile_predictions_loss: 266.6214 - logcount_predictions_loss: 0.3575 197/1102 [====>.........................] - ETA: 4:35 - loss: 270.4033 - logits_profile_predictions_loss: 266.6142 - logcount_predictions_loss: 0.3575 198/1102 [====>.........................] - ETA: 4:34 - loss: 270.3951 - logits_profile_predictions_loss: 266.6065 - logcount_predictions_loss: 0.3574 199/1102 [====>.........................] - ETA: 4:34 - loss: 270.3866 - logits_profile_predictions_loss: 266.5986 - logcount_predictions_loss: 0.3574 200/1102 [====>.........................] - ETA: 4:34 - loss: 270.3782 - logits_profile_predictions_loss: 266.5906 - logcount_predictions_loss: 0.3573 201/1102 [====>.........................] - ETA: 4:33 - loss: 270.3703 - logits_profile_predictions_loss: 266.5833 - logcount_predictions_loss: 0.3573 202/1102 [====>.........................] - ETA: 4:33 - loss: 270.3628 - logits_profile_predictions_loss: 266.5764 - logcount_predictions_loss: 0.3572 203/1102 [====>.........................] - ETA: 4:33 - loss: 270.3554 - logits_profile_predictions_loss: 266.5695 - logcount_predictions_loss: 0.3572 204/1102 [====>.........................] - ETA: 4:32 - loss: 270.3479 - logits_profile_predictions_loss: 266.5626 - logcount_predictions_loss: 0.3571 205/1102 [====>.........................] - ETA: 4:32 - loss: 270.3397 - logits_profile_predictions_loss: 266.5549 - logcount_predictions_loss: 0.3571 206/1102 [====>.........................] - ETA: 4:32 - loss: 270.3314 - logits_profile_predictions_loss: 266.5471 - logcount_predictions_loss: 0.3570 207/1102 [====>.........................] - ETA: 4:32 - loss: 270.3223 - logits_profile_predictions_loss: 266.5385 - logcount_predictions_loss: 0.3570 208/1102 [====>.........................] - ETA: 4:31 - loss: 270.3133 - logits_profile_predictions_loss: 266.5300 - logcount_predictions_loss: 0.3569 209/1102 [====>.........................] - ETA: 4:31 - loss: 270.3045 - logits_profile_predictions_loss: 266.5217 - logcount_predictions_loss: 0.3569 210/1102 [====>.........................] - ETA: 4:31 - loss: 270.2960 - logits_profile_predictions_loss: 266.5137 - logcount_predictions_loss: 0.3568 211/1102 [====>.........................] - ETA: 4:30 - loss: 270.2876 - logits_profile_predictions_loss: 266.5058 - logcount_predictions_loss: 0.3568 212/1102 [====>.........................] - ETA: 4:30 - loss: 270.2792 - logits_profile_predictions_loss: 266.4979 - logcount_predictions_loss: 0.3567 213/1102 [====>.........................] - ETA: 4:30 - loss: 270.2706 - logits_profile_predictions_loss: 266.4898 - logcount_predictions_loss: 0.3567 214/1102 [====>.........................] - ETA: 4:29 - loss: 270.2619 - logits_profile_predictions_loss: 266.4815 - logcount_predictions_loss: 0.3566 215/1102 [====>.........................] - ETA: 4:29 - loss: 270.2525 - logits_profile_predictions_loss: 266.4727 - logcount_predictions_loss: 0.3566 216/1102 [====>.........................] - ETA: 4:29 - loss: 270.2437 - logits_profile_predictions_loss: 266.4644 - logcount_predictions_loss: 0.3565 217/1102 [====>.........................] - ETA: 4:28 - loss: 270.2345 - logits_profile_predictions_loss: 266.4557 - logcount_predictions_loss: 0.3565 218/1102 [====>.........................] - ETA: 4:28 - loss: 270.2247 - logits_profile_predictions_loss: 266.4464 - logcount_predictions_loss: 0.3564 219/1102 [====>.........................] - ETA: 4:28 - loss: 270.2154 - logits_profile_predictions_loss: 266.4376 - logcount_predictions_loss: 0.3564 220/1102 [====>.........................] - ETA: 4:28 - loss: 270.2061 - logits_profile_predictions_loss: 266.4288 - logcount_predictions_loss: 0.3563 221/1102 [=====>........................] - ETA: 4:27 - loss: 270.1969 - logits_profile_predictions_loss: 266.4201 - logcount_predictions_loss: 0.3563 222/1102 [=====>........................] - ETA: 4:27 - loss: 270.1873 - logits_profile_predictions_loss: 266.4111 - logcount_predictions_loss: 0.3562 223/1102 [=====>........................] - ETA: 4:27 - loss: 270.1781 - logits_profile_predictions_loss: 266.4024 - logcount_predictions_loss: 0.3562 224/1102 [=====>........................] - ETA: 4:26 - loss: 270.1686 - logits_profile_predictions_loss: 266.3935 - logcount_predictions_loss: 0.3561 225/1102 [=====>........................] - ETA: 4:26 - loss: 270.1596 - logits_profile_predictions_loss: 266.3850 - logcount_predictions_loss: 0.3561 226/1102 [=====>........................] - ETA: 4:26 - loss: 270.1507 - logits_profile_predictions_loss: 266.3767 - logcount_predictions_loss: 0.3560 227/1102 [=====>........................] - ETA: 4:25 - loss: 270.1416 - logits_profile_predictions_loss: 266.3681 - logcount_predictions_loss: 0.3560 228/1102 [=====>........................] - ETA: 4:25 - loss: 270.1325 - logits_profile_predictions_loss: 266.3595 - logcount_predictions_loss: 0.3559 229/1102 [=====>........................] - ETA: 4:25 - loss: 270.1234 - logits_profile_predictions_loss: 266.3509 - logcount_predictions_loss: 0.3559 230/1102 [=====>........................] - ETA: 4:25 - loss: 270.1144 - logits_profile_predictions_loss: 266.3426 - logcount_predictions_loss: 0.3558 231/1102 [=====>........................] - ETA: 4:24 - loss: 270.1055 - logits_profile_predictions_loss: 266.3342 - logcount_predictions_loss: 0.3558 232/1102 [=====>........................] - ETA: 4:24 - loss: 270.0972 - logits_profile_predictions_loss: 266.3265 - logcount_predictions_loss: 0.3557 233/1102 [=====>........................] - ETA: 4:24 - loss: 270.0891 - logits_profile_predictions_loss: 266.3189 - logcount_predictions_loss: 0.3557 234/1102 [=====>........................] - ETA: 4:23 - loss: 270.0808 - logits_profile_predictions_loss: 266.3113 - logcount_predictions_loss: 0.3556 235/1102 [=====>........................] - ETA: 4:23 - loss: 270.0728 - logits_profile_predictions_loss: 266.3038 - logcount_predictions_loss: 0.3556 236/1102 [=====>........................] - ETA: 4:23 - loss: 270.0644 - logits_profile_predictions_loss: 266.2960 - logcount_predictions_loss: 0.3555 237/1102 [=====>........................] - ETA: 4:22 - loss: 270.0560 - logits_profile_predictions_loss: 266.2882 - logcount_predictions_loss: 0.3555 238/1102 [=====>........................] - ETA: 4:22 - loss: 270.0484 - logits_profile_predictions_loss: 266.2812 - logcount_predictions_loss: 0.3554 239/1102 [=====>........................] - ETA: 4:22 - loss: 270.0411 - logits_profile_predictions_loss: 266.2744 - logcount_predictions_loss: 0.3553 240/1102 [=====>........................] - ETA: 4:21 - loss: 270.0341 - 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[=====>........................] - ETA: 4:19 - loss: 269.9864 - logits_profile_predictions_loss: 266.2242 - logcount_predictions_loss: 0.3549 248/1102 [=====>........................] - ETA: 4:19 - loss: 269.9798 - logits_profile_predictions_loss: 266.2181 - logcount_predictions_loss: 0.3549 249/1102 [=====>........................] - ETA: 4:19 - loss: 269.9730 - logits_profile_predictions_loss: 266.2120 - logcount_predictions_loss: 0.3548 250/1102 [=====>........................] - ETA: 4:18 - loss: 269.9662 - logits_profile_predictions_loss: 266.2056 - logcount_predictions_loss: 0.3548 251/1102 [=====>........................] - ETA: 4:18 - loss: 269.9594 - logits_profile_predictions_loss: 266.1995 - logcount_predictions_loss: 0.3547 252/1102 [=====>........................] - ETA: 4:18 - loss: 269.9532 - logits_profile_predictions_loss: 266.1938 - logcount_predictions_loss: 0.3547 253/1102 [=====>........................] - ETA: 4:18 - loss: 269.9468 - logits_profile_predictions_loss: 266.1878 - logcount_predictions_loss: 0.3546 254/1102 [=====>........................] - ETA: 4:17 - loss: 269.9402 - logits_profile_predictions_loss: 266.1817 - logcount_predictions_loss: 0.3546 255/1102 [=====>........................] - ETA: 4:17 - loss: 269.9338 - logits_profile_predictions_loss: 266.1759 - logcount_predictions_loss: 0.3545 256/1102 [=====>........................] - ETA: 4:17 - loss: 269.9281 - logits_profile_predictions_loss: 266.1707 - logcount_predictions_loss: 0.3545 257/1102 [=====>........................] - ETA: 4:16 - loss: 269.9223 - logits_profile_predictions_loss: 266.1654 - logcount_predictions_loss: 0.3544 258/1102 [======>.......................] - ETA: 4:16 - loss: 269.9164 - logits_profile_predictions_loss: 266.1599 - logcount_predictions_loss: 0.3544 259/1102 [======>.......................] - ETA: 4:16 - loss: 269.9106 - logits_profile_predictions_loss: 266.1546 - logcount_predictions_loss: 0.3543 260/1102 [======>.......................] - ETA: 4:15 - loss: 269.9048 - logits_profile_predictions_loss: 266.1493 - logcount_predictions_loss: 0.3543 261/1102 [======>.......................] - ETA: 4:15 - loss: 269.8990 - logits_profile_predictions_loss: 266.1439 - logcount_predictions_loss: 0.3543 262/1102 [======>.......................] - ETA: 4:15 - loss: 269.8929 - logits_profile_predictions_loss: 266.1383 - logcount_predictions_loss: 0.3542 263/1102 [======>.......................] - ETA: 4:15 - loss: 269.8870 - logits_profile_predictions_loss: 266.1329 - logcount_predictions_loss: 0.3542 264/1102 [======>.......................] - ETA: 4:14 - loss: 269.8811 - logits_profile_predictions_loss: 266.1274 - logcount_predictions_loss: 0.3541 265/1102 [======>.......................] - ETA: 4:14 - loss: 269.8760 - logits_profile_predictions_loss: 266.1227 - logcount_predictions_loss: 0.3541 266/1102 [======>.......................] - ETA: 4:14 - loss: 269.8709 - logits_profile_predictions_loss: 266.1180 - logcount_predictions_loss: 0.3540 267/1102 [======>.......................] - ETA: 4:13 - loss: 269.8656 - logits_profile_predictions_loss: 266.1131 - logcount_predictions_loss: 0.3540 268/1102 [======>.......................] - ETA: 4:13 - loss: 269.8603 - logits_profile_predictions_loss: 266.1083 - logcount_predictions_loss: 0.3540 269/1102 [======>.......................] - ETA: 4:13 - loss: 269.8552 - logits_profile_predictions_loss: 266.1036 - logcount_predictions_loss: 0.3539 270/1102 [======>.......................] - ETA: 4:12 - loss: 269.8505 - logits_profile_predictions_loss: 266.0994 - logcount_predictions_loss: 0.3539 271/1102 [======>.......................] - ETA: 4:12 - loss: 269.8460 - logits_profile_predictions_loss: 266.0953 - logcount_predictions_loss: 0.3538 272/1102 [======>.......................] - ETA: 4:12 - loss: 269.8415 - logits_profile_predictions_loss: 266.0911 - logcount_predictions_loss: 0.3538 273/1102 [======>.......................] - ETA: 4:12 - loss: 269.8374 - logits_profile_predictions_loss: 266.0875 - logcount_predictions_loss: 0.3538 274/1102 [======>.......................] - ETA: 4:11 - loss: 269.8337 - logits_profile_predictions_loss: 266.0841 - logcount_predictions_loss: 0.3537 275/1102 [======>.......................] - ETA: 4:11 - loss: 269.8299 - logits_profile_predictions_loss: 266.0807 - logcount_predictions_loss: 0.3537 276/1102 [======>.......................] - ETA: 4:11 - loss: 269.8262 - logits_profile_predictions_loss: 266.0774 - logcount_predictions_loss: 0.3537 277/1102 [======>.......................] - ETA: 4:10 - loss: 269.8222 - logits_profile_predictions_loss: 266.0738 - logcount_predictions_loss: 0.3536 278/1102 [======>.......................] - ETA: 4:10 - loss: 269.8181 - logits_profile_predictions_loss: 266.0701 - logcount_predictions_loss: 0.3536 279/1102 [======>.......................] - ETA: 4:10 - loss: 269.8141 - logits_profile_predictions_loss: 266.0664 - logcount_predictions_loss: 0.3536 280/1102 [======>.......................] - ETA: 4:09 - loss: 269.8101 - logits_profile_predictions_loss: 266.0629 - logcount_predictions_loss: 0.3535 281/1102 [======>.......................] - ETA: 4:09 - loss: 269.8066 - logits_profile_predictions_loss: 266.0597 - logcount_predictions_loss: 0.3535 282/1102 [======>.......................] - ETA: 4:09 - loss: 269.8032 - logits_profile_predictions_loss: 266.0567 - logcount_predictions_loss: 0.3534 283/1102 [======>.......................] - ETA: 4:08 - loss: 269.7995 - logits_profile_predictions_loss: 266.0533 - logcount_predictions_loss: 0.3534 284/1102 [======>.......................] - ETA: 4:08 - loss: 269.7957 - logits_profile_predictions_loss: 266.0498 - logcount_predictions_loss: 0.3534 285/1102 [======>.......................] - ETA: 4:08 - loss: 269.7920 - logits_profile_predictions_loss: 266.0463 - logcount_predictions_loss: 0.3534 286/1102 [======>.......................] - ETA: 4:08 - loss: 269.7883 - logits_profile_predictions_loss: 266.0430 - logcount_predictions_loss: 0.3533 287/1102 [======>.......................] - ETA: 4:07 - loss: 269.7848 - logits_profile_predictions_loss: 266.0397 - logcount_predictions_loss: 0.3533 288/1102 [======>.......................] - ETA: 4:07 - loss: 269.7813 - logits_profile_predictions_loss: 266.0364 - logcount_predictions_loss: 0.3533 289/1102 [======>.......................] - ETA: 4:07 - loss: 269.7777 - logits_profile_predictions_loss: 266.0330 - logcount_predictions_loss: 0.3533 290/1102 [======>.......................] - ETA: 4:06 - loss: 269.7743 - logits_profile_predictions_loss: 266.0298 - logcount_predictions_loss: 0.3533 291/1102 [======>.......................] - ETA: 4:06 - loss: 269.7707 - logits_profile_predictions_loss: 266.0264 - logcount_predictions_loss: 0.3532 292/1102 [======>.......................] - ETA: 4:06 - loss: 269.7672 - logits_profile_predictions_loss: 266.0231 - logcount_predictions_loss: 0.3532 293/1102 [======>.......................] - ETA: 4:05 - loss: 269.7635 - logits_profile_predictions_loss: 266.0196 - logcount_predictions_loss: 0.3532 294/1102 [=======>......................] - ETA: 4:05 - loss: 269.7600 - logits_profile_predictions_loss: 266.0161 - logcount_predictions_loss: 0.3532 295/1102 [=======>......................] - ETA: 4:05 - loss: 269.7567 - logits_profile_predictions_loss: 266.0130 - logcount_predictions_loss: 0.3532 296/1102 [=======>......................] - ETA: 4:05 - loss: 269.7536 - logits_profile_predictions_loss: 266.0100 - logcount_predictions_loss: 0.3532 297/1102 [=======>......................] - ETA: 4:04 - loss: 269.7506 - logits_profile_predictions_loss: 266.0071 - logcount_predictions_loss: 0.3532 298/1102 [=======>......................] - ETA: 4:04 - loss: 269.7480 - logits_profile_predictions_loss: 266.0047 - logcount_predictions_loss: 0.3531 299/1102 [=======>......................] - ETA: 4:04 - loss: 269.7453 - logits_profile_predictions_loss: 266.0021 - logcount_predictions_loss: 0.3531 300/1102 [=======>......................] - ETA: 4:03 - loss: 269.7427 - logits_profile_predictions_loss: 265.9996 - logcount_predictions_loss: 0.3531 301/1102 [=======>......................] - ETA: 4:03 - loss: 269.7400 - logits_profile_predictions_loss: 265.9970 - logcount_predictions_loss: 0.3531 302/1102 [=======>......................] - ETA: 4:03 - loss: 269.7374 - logits_profile_predictions_loss: 265.9945 - logcount_predictions_loss: 0.3531 303/1102 [=======>......................] - ETA: 4:02 - loss: 269.7345 - logits_profile_predictions_loss: 265.9917 - logcount_predictions_loss: 0.3531 304/1102 [=======>......................] - ETA: 4:02 - loss: 269.7316 - logits_profile_predictions_loss: 265.9889 - logcount_predictions_loss: 0.3531 305/1102 [=======>......................] - ETA: 4:02 - loss: 269.7285 - 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[..............................] - ETA: 5:24 - loss: 265.1347 - logits_profile_predictions_loss: 261.8626 - logcount_predictions_loss: 0.3087 36/1102 [..............................] - ETA: 5:23 - loss: 265.0860 - logits_profile_predictions_loss: 261.8107 - logcount_predictions_loss: 0.3090 37/1102 [>.............................] - ETA: 5:23 - loss: 265.0391 - logits_profile_predictions_loss: 261.7599 - logcount_predictions_loss: 0.3094 38/1102 [>.............................] - ETA: 5:23 - loss: 264.9816 - logits_profile_predictions_loss: 261.6986 - logcount_predictions_loss: 0.3097 39/1102 [>.............................] - ETA: 5:22 - loss: 264.9233 - logits_profile_predictions_loss: 261.6364 - logcount_predictions_loss: 0.3101 40/1102 [>.............................] - ETA: 5:22 - loss: 264.8564 - logits_profile_predictions_loss: 261.5655 - logcount_predictions_loss: 0.3105 41/1102 [>.............................] - ETA: 5:22 - loss: 264.7917 - logits_profile_predictions_loss: 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loss: 264.4767 - logits_profile_predictions_loss: 261.1577 - logcount_predictions_loss: 0.3131 49/1102 [>.............................] - ETA: 5:19 - loss: 264.4601 - logits_profile_predictions_loss: 261.1380 - logcount_predictions_loss: 0.3134 50/1102 [>.............................] - ETA: 5:19 - loss: 264.4402 - logits_profile_predictions_loss: 261.1147 - logcount_predictions_loss: 0.3137 51/1102 [>.............................] - ETA: 5:19 - loss: 264.4233 - logits_profile_predictions_loss: 261.0946 - logcount_predictions_loss: 0.3140 52/1102 [>.............................] - ETA: 5:19 - loss: 264.4154 - logits_profile_predictions_loss: 261.0838 - logcount_predictions_loss: 0.3143 53/1102 [>.............................] - ETA: 5:18 - loss: 264.4107 - logits_profile_predictions_loss: 261.0761 - logcount_predictions_loss: 0.3146 54/1102 [>.............................] - ETA: 5:18 - loss: 264.4069 - logits_profile_predictions_loss: 261.0695 - logcount_predictions_loss: 0.3148 55/1102 [>.............................] - ETA: 5:18 - loss: 264.4052 - logits_profile_predictions_loss: 261.0653 - logcount_predictions_loss: 0.3151 56/1102 [>.............................] - ETA: 5:17 - loss: 264.4032 - logits_profile_predictions_loss: 261.0610 - logcount_predictions_loss: 0.3153 57/1102 [>.............................] - ETA: 5:17 - loss: 264.4047 - logits_profile_predictions_loss: 261.0604 - logcount_predictions_loss: 0.3155 58/1102 [>.............................] - ETA: 5:17 - loss: 264.4027 - logits_profile_predictions_loss: 261.0563 - logcount_predictions_loss: 0.3157 59/1102 [>.............................] - ETA: 5:16 - loss: 264.4015 - logits_profile_predictions_loss: 261.0529 - logcount_predictions_loss: 0.3159 60/1102 [>.............................] - ETA: 5:16 - loss: 264.4011 - logits_profile_predictions_loss: 261.0503 - logcount_predictions_loss: 0.3161 61/1102 [>.............................] - ETA: 5:16 - loss: 264.4013 - logits_profile_predictions_loss: 261.0485 - logcount_predictions_loss: 0.3163 62/1102 [>.............................] - ETA: 5:16 - loss: 264.4082 - logits_profile_predictions_loss: 261.0532 - logcount_predictions_loss: 0.3165 63/1102 [>.............................] - ETA: 5:15 - loss: 264.4165 - logits_profile_predictions_loss: 261.0596 - logcount_predictions_loss: 0.3167 64/1102 [>.............................] - ETA: 5:15 - loss: 264.4276 - logits_profile_predictions_loss: 261.0688 - logcount_predictions_loss: 0.3169 65/1102 [>.............................] - ETA: 5:15 - loss: 264.4434 - logits_profile_predictions_loss: 261.0828 - logcount_predictions_loss: 0.3170 66/1102 [>.............................] - ETA: 5:14 - loss: 264.4580 - logits_profile_predictions_loss: 261.0957 - logcount_predictions_loss: 0.3172 67/1102 [>.............................] - ETA: 5:14 - loss: 264.4774 - logits_profile_predictions_loss: 261.1134 - logcount_predictions_loss: 0.3174 68/1102 [>.............................] - ETA: 5:14 - loss: 264.4971 - logits_profile_predictions_loss: 261.1318 - logcount_predictions_loss: 0.3175 69/1102 [>.............................] - ETA: 5:14 - loss: 264.5203 - logits_profile_predictions_loss: 261.1536 - logcount_predictions_loss: 0.3176 70/1102 [>.............................] - ETA: 5:13 - loss: 264.5426 - logits_profile_predictions_loss: 261.1747 - logcount_predictions_loss: 0.3177 71/1102 [>.............................] - ETA: 5:13 - loss: 264.5590 - logits_profile_predictions_loss: 261.1900 - logcount_predictions_loss: 0.3178 72/1102 [>.............................] - ETA: 5:13 - loss: 264.5775 - logits_profile_predictions_loss: 261.2074 - logcount_predictions_loss: 0.3179 73/1102 [>.............................] - ETA: 5:12 - loss: 264.5956 - logits_profile_predictions_loss: 261.2243 - logcount_predictions_loss: 0.3180 74/1102 [=>............................] - ETA: 5:12 - loss: 264.6085 - logits_profile_predictions_loss: 261.2362 - logcount_predictions_loss: 0.3181 75/1102 [=>............................] - ETA: 5:12 - loss: 264.6210 - logits_profile_predictions_loss: 261.2478 - logcount_predictions_loss: 0.3182 76/1102 [=>............................] - ETA: 5:11 - loss: 264.6305 - logits_profile_predictions_loss: 261.2565 - logcount_predictions_loss: 0.3183 77/1102 [=>............................] - ETA: 5:11 - loss: 264.6463 - logits_profile_predictions_loss: 261.2715 - logcount_predictions_loss: 0.3184 78/1102 [=>............................] - ETA: 5:11 - loss: 264.6671 - logits_profile_predictions_loss: 261.2913 - logcount_predictions_loss: 0.3185 79/1102 [=>............................] - ETA: 5:10 - loss: 264.6885 - logits_profile_predictions_loss: 261.3117 - logcount_predictions_loss: 0.3186 80/1102 [=>............................] - ETA: 5:10 - loss: 264.7096 - logits_profile_predictions_loss: 261.3319 - logcount_predictions_loss: 0.3187 81/1102 [=>............................] - ETA: 5:10 - loss: 264.7291 - logits_profile_predictions_loss: 261.3503 - logcount_predictions_loss: 0.3188 82/1102 [=>............................] - ETA: 5:10 - loss: 264.7460 - logits_profile_predictions_loss: 261.3662 - logcount_predictions_loss: 0.3188 83/1102 [=>............................] - ETA: 5:09 - loss: 264.7599 - logits_profile_predictions_loss: 261.3790 - logcount_predictions_loss: 0.3189 84/1102 [=>............................] - ETA: 5:09 - loss: 264.7755 - logits_profile_predictions_loss: 261.3936 - logcount_predictions_loss: 0.3190 85/1102 [=>............................] - ETA: 5:09 - loss: 264.7901 - logits_profile_predictions_loss: 261.4073 - logcount_predictions_loss: 0.3191 86/1102 [=>............................] - ETA: 5:08 - loss: 264.8019 - logits_profile_predictions_loss: 261.4180 - logcount_predictions_loss: 0.3192 87/1102 [=>............................] - ETA: 5:08 - loss: 264.8164 - logits_profile_predictions_loss: 261.4315 - logcount_predictions_loss: 0.3193 88/1102 [=>............................] - ETA: 5:08 - loss: 264.8326 - logits_profile_predictions_loss: 261.4467 - logcount_predictions_loss: 0.3194 89/1102 [=>............................] - ETA: 5:07 - loss: 264.8459 - logits_profile_predictions_loss: 261.4591 - logcount_predictions_loss: 0.3195 90/1102 [=>............................] - ETA: 5:07 - loss: 264.8624 - logits_profile_predictions_loss: 261.4747 - logcount_predictions_loss: 0.3196 91/1102 [=>............................] - ETA: 5:07 - loss: 264.8806 - logits_profile_predictions_loss: 261.4922 - logcount_predictions_loss: 0.3197 92/1102 [=>............................] - ETA: 5:07 - loss: 264.8942 - logits_profile_predictions_loss: 261.5049 - logcount_predictions_loss: 0.3197 93/1102 [=>............................] - ETA: 5:06 - loss: 264.9073 - logits_profile_predictions_loss: 261.5171 - logcount_predictions_loss: 0.3198 94/1102 [=>............................] - ETA: 5:06 - loss: 264.9171 - logits_profile_predictions_loss: 261.5261 - logcount_predictions_loss: 0.3199 95/1102 [=>............................] - ETA: 5:06 - loss: 264.9306 - logits_profile_predictions_loss: 261.5386 - logcount_predictions_loss: 0.3200 96/1102 [=>............................] - ETA: 5:05 - loss: 264.9448 - logits_profile_predictions_loss: 261.5517 - logcount_predictions_loss: 0.3201 97/1102 [=>............................] - ETA: 5:05 - loss: 264.9609 - logits_profile_predictions_loss: 261.5669 - logcount_predictions_loss: 0.3202 98/1102 [=>............................] - ETA: 5:05 - loss: 264.9744 - logits_profile_predictions_loss: 261.5793 - logcount_predictions_loss: 0.3203 99/1102 [=>............................] - ETA: 5:04 - loss: 264.9883 - logits_profile_predictions_loss: 261.5922 - logcount_predictions_loss: 0.3204 100/1102 [=>............................] - ETA: 5:04 - loss: 265.0048 - logits_profile_predictions_loss: 261.6078 - logcount_predictions_loss: 0.3205 101/1102 [=>............................] - ETA: 5:04 - loss: 265.0235 - logits_profile_predictions_loss: 261.6255 - logcount_predictions_loss: 0.3206 102/1102 [=>............................] - ETA: 5:04 - loss: 265.0417 - logits_profile_predictions_loss: 261.6428 - logcount_predictions_loss: 0.3207 103/1102 [=>............................] - ETA: 5:03 - loss: 265.0643 - logits_profile_predictions_loss: 261.6643 - logcount_predictions_loss: 0.3207 104/1102 [=>............................] - ETA: 5:03 - loss: 265.0871 - logits_profile_predictions_loss: 261.6861 - logcount_predictions_loss: 0.3208 105/1102 [=>............................] - ETA: 5:03 - loss: 265.1107 - logits_profile_predictions_loss: 261.7088 - logcount_predictions_loss: 0.3209 106/1102 [=>............................] - ETA: 5:02 - loss: 265.1358 - logits_profile_predictions_loss: 261.7330 - logcount_predictions_loss: 0.3210 107/1102 [=>............................] - ETA: 5:02 - loss: 265.1606 - logits_profile_predictions_loss: 261.7569 - logcount_predictions_loss: 0.3211 108/1102 [=>............................] - ETA: 5:02 - loss: 265.1858 - logits_profile_predictions_loss: 261.7812 - logcount_predictions_loss: 0.3212 109/1102 [=>............................] - ETA: 5:01 - loss: 265.2078 - logits_profile_predictions_loss: 261.8023 - logcount_predictions_loss: 0.3213 110/1102 [=>............................] - ETA: 5:01 - loss: 265.2295 - logits_profile_predictions_loss: 261.8231 - logcount_predictions_loss: 0.3214 111/1102 [==>...........................] - ETA: 5:01 - loss: 265.2520 - logits_profile_predictions_loss: 261.8447 - logcount_predictions_loss: 0.3214 112/1102 [==>...........................] - ETA: 5:01 - loss: 265.2725 - logits_profile_predictions_loss: 261.8645 - logcount_predictions_loss: 0.3215 113/1102 [==>...........................] - ETA: 5:00 - loss: 265.2923 - logits_profile_predictions_loss: 261.8836 - logcount_predictions_loss: 0.3216 114/1102 [==>...........................] - ETA: 5:00 - loss: 265.3121 - logits_profile_predictions_loss: 261.9028 - logcount_predictions_loss: 0.3216 115/1102 [==>...........................] - ETA: 5:00 - loss: 265.3291 - logits_profile_predictions_loss: 261.9191 - logcount_predictions_loss: 0.3217 116/1102 [==>...........................] - ETA: 4:59 - loss: 265.3462 - logits_profile_predictions_loss: 261.9357 - logcount_predictions_loss: 0.3217 117/1102 [==>...........................] - ETA: 4:59 - loss: 265.3612 - logits_profile_predictions_loss: 261.9502 - logcount_predictions_loss: 0.3218 118/1102 [==>...........................] - ETA: 4:59 - loss: 265.3744 - logits_profile_predictions_loss: 261.9629 - logcount_predictions_loss: 0.3218 119/1102 [==>...........................] - ETA: 4:58 - loss: 265.3861 - logits_profile_predictions_loss: 261.9742 - logcount_predictions_loss: 0.3219 120/1102 [==>...........................] - ETA: 4:58 - loss: 265.3990 - logits_profile_predictions_loss: 261.9865 - logcount_predictions_loss: 0.3219 121/1102 [==>...........................] - ETA: 4:58 - loss: 265.4108 - logits_profile_predictions_loss: 261.9979 - logcount_predictions_loss: 0.3220 122/1102 [==>...........................] - ETA: 4:57 - loss: 265.4222 - logits_profile_predictions_loss: 262.0089 - logcount_predictions_loss: 0.3220 123/1102 [==>...........................] - ETA: 4:57 - loss: 265.4332 - logits_profile_predictions_loss: 262.0195 - logcount_predictions_loss: 0.3220 124/1102 [==>...........................] - ETA: 4:57 - loss: 265.4418 - logits_profile_predictions_loss: 262.0278 - logcount_predictions_loss: 0.3221 125/1102 [==>...........................] - ETA: 4:57 - loss: 265.4502 - logits_profile_predictions_loss: 262.0358 - logcount_predictions_loss: 0.3221 126/1102 [==>...........................] - ETA: 4:56 - loss: 265.4574 - logits_profile_predictions_loss: 262.0427 - logcount_predictions_loss: 0.3221 127/1102 [==>...........................] - ETA: 4:56 - loss: 265.4660 - logits_profile_predictions_loss: 262.0509 - logcount_predictions_loss: 0.3222 128/1102 [==>...........................] - ETA: 4:56 - loss: 265.4759 - logits_profile_predictions_loss: 262.0605 - logcount_predictions_loss: 0.3222 129/1102 [==>...........................] - ETA: 4:55 - loss: 265.4863 - logits_profile_predictions_loss: 262.0705 - logcount_predictions_loss: 0.3222 130/1102 [==>...........................] - ETA: 4:55 - loss: 265.4978 - logits_profile_predictions_loss: 262.0815 - logcount_predictions_loss: 0.3223 131/1102 [==>...........................] - ETA: 4:55 - loss: 265.5088 - logits_profile_predictions_loss: 262.0921 - logcount_predictions_loss: 0.3223 132/1102 [==>...........................] - ETA: 4:54 - loss: 265.5183 - logits_profile_predictions_loss: 262.1012 - logcount_predictions_loss: 0.3224 133/1102 [==>...........................] - ETA: 4:54 - loss: 265.5292 - logits_profile_predictions_loss: 262.1116 - logcount_predictions_loss: 0.3224 134/1102 [==>...........................] - ETA: 4:54 - loss: 265.5390 - logits_profile_predictions_loss: 262.1210 - logcount_predictions_loss: 0.3224 135/1102 [==>...........................] - ETA: 4:54 - loss: 265.5498 - logits_profile_predictions_loss: 262.1314 - logcount_predictions_loss: 0.3225 136/1102 [==>...........................] - ETA: 4:53 - loss: 265.5599 - logits_profile_predictions_loss: 262.1411 - logcount_predictions_loss: 0.3225 137/1102 [==>...........................] - ETA: 4:53 - loss: 265.5691 - logits_profile_predictions_loss: 262.1501 - logcount_predictions_loss: 0.3225 138/1102 [==>...........................] - ETA: 4:53 - loss: 265.5787 - logits_profile_predictions_loss: 262.1594 - logcount_predictions_loss: 0.3226 139/1102 [==>...........................] - ETA: 4:52 - loss: 265.5875 - logits_profile_predictions_loss: 262.1680 - logcount_predictions_loss: 0.3226 140/1102 [==>...........................] - ETA: 4:52 - loss: 265.5971 - logits_profile_predictions_loss: 262.1774 - logcount_predictions_loss: 0.3226 141/1102 [==>...........................] - ETA: 4:52 - loss: 265.6060 - logits_profile_predictions_loss: 262.1860 - logcount_predictions_loss: 0.3226 142/1102 [==>...........................] - ETA: 4:51 - loss: 265.6134 - logits_profile_predictions_loss: 262.1931 - logcount_predictions_loss: 0.3227 143/1102 [==>...........................] - ETA: 4:51 - loss: 265.6211 - logits_profile_predictions_loss: 262.2007 - logcount_predictions_loss: 0.3227 144/1102 [==>...........................] - ETA: 4:51 - loss: 265.6294 - logits_profile_predictions_loss: 262.2087 - logcount_predictions_loss: 0.3227 145/1102 [==>...........................] - ETA: 4:51 - loss: 265.6361 - logits_profile_predictions_loss: 262.2152 - logcount_predictions_loss: 0.3227 146/1102 [==>...........................] - ETA: 4:50 - loss: 265.6429 - logits_profile_predictions_loss: 262.2218 - logcount_predictions_loss: 0.3227 147/1102 [===>..........................] - ETA: 4:50 - loss: 265.6498 - logits_profile_predictions_loss: 262.2285 - logcount_predictions_loss: 0.3228 148/1102 [===>..........................] - ETA: 4:50 - loss: 265.6569 - logits_profile_predictions_loss: 262.2354 - logcount_predictions_loss: 0.3228 149/1102 [===>..........................] - ETA: 4:49 - loss: 265.6634 - logits_profile_predictions_loss: 262.2418 - logcount_predictions_loss: 0.3228 150/1102 [===>..........................] - ETA: 4:49 - loss: 265.6709 - logits_profile_predictions_loss: 262.2491 - logcount_predictions_loss: 0.3228 151/1102 [===>..........................] - ETA: 4:49 - loss: 265.6780 - logits_profile_predictions_loss: 262.2560 - logcount_predictions_loss: 0.3228 152/1102 [===>..........................] - ETA: 4:48 - loss: 265.6843 - logits_profile_predictions_loss: 262.2622 - logcount_predictions_loss: 0.3228 153/1102 [===>..........................] - ETA: 4:48 - loss: 265.6903 - logits_profile_predictions_loss: 262.2680 - logcount_predictions_loss: 0.3229 154/1102 [===>..........................] - ETA: 4:48 - loss: 265.6963 - logits_profile_predictions_loss: 262.2739 - logcount_predictions_loss: 0.3229 155/1102 [===>..........................] - ETA: 4:47 - loss: 265.7018 - logits_profile_predictions_loss: 262.2794 - logcount_predictions_loss: 0.3229 156/1102 [===>..........................] - ETA: 4:47 - loss: 265.7071 - logits_profile_predictions_loss: 262.2844 - logcount_predictions_loss: 0.3229 157/1102 [===>..........................] - ETA: 4:47 - loss: 265.7117 - logits_profile_predictions_loss: 262.2890 - logcount_predictions_loss: 0.3229 158/1102 [===>..........................] - ETA: 4:47 - loss: 265.7157 - logits_profile_predictions_loss: 262.2928 - logcount_predictions_loss: 0.3229 159/1102 [===>..........................] - ETA: 4:46 - loss: 265.7186 - logits_profile_predictions_loss: 262.2957 - logcount_predictions_loss: 0.3229 160/1102 [===>..........................] - ETA: 4:46 - loss: 265.7207 - logits_profile_predictions_loss: 262.2976 - logcount_predictions_loss: 0.3229 161/1102 [===>..........................] - ETA: 4:46 - loss: 265.7232 - logits_profile_predictions_loss: 262.3001 - logcount_predictions_loss: 0.3229 162/1102 [===>..........................] - ETA: 4:45 - loss: 265.7254 - logits_profile_predictions_loss: 262.3021 - logcount_predictions_loss: 0.3229 163/1102 [===>..........................] - ETA: 4:45 - loss: 265.7275 - logits_profile_predictions_loss: 262.3041 - logcount_predictions_loss: 0.3230 164/1102 [===>..........................] - ETA: 4:45 - loss: 265.7286 - logits_profile_predictions_loss: 262.3051 - logcount_predictions_loss: 0.3230 165/1102 [===>..........................] - ETA: 4:44 - loss: 265.7292 - logits_profile_predictions_loss: 262.3056 - logcount_predictions_loss: 0.3230 166/1102 [===>..........................] - ETA: 4:44 - loss: 265.7301 - logits_profile_predictions_loss: 262.3064 - logcount_predictions_loss: 0.3230 167/1102 [===>..........................] - ETA: 4:44 - loss: 265.7313 - logits_profile_predictions_loss: 262.3075 - logcount_predictions_loss: 0.3230 168/1102 [===>..........................] - ETA: 4:44 - loss: 265.7334 - logits_profile_predictions_loss: 262.3095 - logcount_predictions_loss: 0.3230 169/1102 [===>..........................] - ETA: 4:43 - loss: 265.7360 - logits_profile_predictions_loss: 262.3120 - logcount_predictions_loss: 0.3230 170/1102 [===>..........................] - ETA: 4:43 - loss: 265.7392 - logits_profile_predictions_loss: 262.3151 - logcount_predictions_loss: 0.3230 171/1102 [===>..........................] - ETA: 4:43 - loss: 265.7428 - logits_profile_predictions_loss: 262.3185 - logcount_predictions_loss: 0.3230 172/1102 [===>..........................] - ETA: 4:42 - loss: 265.7460 - logits_profile_predictions_loss: 262.3216 - logcount_predictions_loss: 0.3231 173/1102 [===>..........................] - ETA: 4:42 - loss: 265.7487 - logits_profile_predictions_loss: 262.3242 - logcount_predictions_loss: 0.3231 174/1102 [===>..........................] - ETA: 4:42 - loss: 265.7511 - logits_profile_predictions_loss: 262.3265 - logcount_predictions_loss: 0.3231 175/1102 [===>..........................] - ETA: 4:41 - loss: 265.7539 - logits_profile_predictions_loss: 262.3292 - logcount_predictions_loss: 0.3231 176/1102 [===>..........................] - ETA: 4:41 - loss: 265.7569 - logits_profile_predictions_loss: 262.3321 - logcount_predictions_loss: 0.3231 177/1102 [===>..........................] - ETA: 4:41 - loss: 265.7599 - logits_profile_predictions_loss: 262.3350 - logcount_predictions_loss: 0.3231 178/1102 [===>..........................] - ETA: 4:41 - loss: 265.7625 - logits_profile_predictions_loss: 262.3376 - logcount_predictions_loss: 0.3231 179/1102 [===>..........................] - ETA: 4:40 - loss: 265.7654 - logits_profile_predictions_loss: 262.3404 - logcount_predictions_loss: 0.3231 180/1102 [===>..........................] - ETA: 4:40 - loss: 265.7680 - logits_profile_predictions_loss: 262.3429 - logcount_predictions_loss: 0.3231 181/1102 [===>..........................] - ETA: 4:40 - loss: 265.7706 - logits_profile_predictions_loss: 262.3454 - logcount_predictions_loss: 0.3231 182/1102 [===>..........................] - ETA: 4:39 - loss: 265.7724 - logits_profile_predictions_loss: 262.3471 - logcount_predictions_loss: 0.3231 183/1102 [===>..........................] - ETA: 4:39 - loss: 265.7740 - logits_profile_predictions_loss: 262.3487 - logcount_predictions_loss: 0.3231 184/1102 [====>.........................] - ETA: 4:39 - loss: 265.7760 - logits_profile_predictions_loss: 262.3506 - logcount_predictions_loss: 0.3232 185/1102 [====>.........................] - ETA: 4:38 - loss: 265.7776 - logits_profile_predictions_loss: 262.3521 - logcount_predictions_loss: 0.3232 186/1102 [====>.........................] - ETA: 4:38 - loss: 265.7807 - logits_profile_predictions_loss: 262.3551 - logcount_predictions_loss: 0.3232 187/1102 [====>.........................] - ETA: 4:38 - loss: 265.7840 - logits_profile_predictions_loss: 262.3583 - logcount_predictions_loss: 0.3232 188/1102 [====>.........................] - ETA: 4:37 - loss: 265.7868 - logits_profile_predictions_loss: 262.3610 - logcount_predictions_loss: 0.3232 189/1102 [====>.........................] - ETA: 4:37 - loss: 265.7899 - logits_profile_predictions_loss: 262.3640 - logcount_predictions_loss: 0.3232 190/1102 [====>.........................] - ETA: 4:37 - loss: 265.7932 - logits_profile_predictions_loss: 262.3672 - logcount_predictions_loss: 0.3232 191/1102 [====>.........................] - ETA: 4:37 - loss: 265.7966 - logits_profile_predictions_loss: 262.3706 - logcount_predictions_loss: 0.3232 192/1102 [====>.........................] - ETA: 4:36 - loss: 265.7994 - logits_profile_predictions_loss: 262.3733 - logcount_predictions_loss: 0.3232 193/1102 [====>.........................] - ETA: 4:36 - loss: 265.8020 - logits_profile_predictions_loss: 262.3759 - logcount_predictions_loss: 0.3232 194/1102 [====>.........................] - ETA: 4:36 - loss: 265.8043 - logits_profile_predictions_loss: 262.3780 - logcount_predictions_loss: 0.3232 195/1102 [====>.........................] - ETA: 4:35 - loss: 265.8061 - logits_profile_predictions_loss: 262.3798 - logcount_predictions_loss: 0.3232 196/1102 [====>.........................] - ETA: 4:35 - loss: 265.8084 - logits_profile_predictions_loss: 262.3820 - logcount_predictions_loss: 0.3232 197/1102 [====>.........................] - ETA: 4:35 - loss: 265.8106 - logits_profile_predictions_loss: 262.3842 - logcount_predictions_loss: 0.3233 198/1102 [====>.........................] - ETA: 4:34 - loss: 265.8127 - 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[====>.........................] - ETA: 4:28 - loss: 265.8333 - logits_profile_predictions_loss: 262.4022 - logcount_predictions_loss: 0.3237 219/1102 [====>.........................] - ETA: 4:28 - loss: 265.8340 - logits_profile_predictions_loss: 262.4026 - logcount_predictions_loss: 0.3237 220/1102 [====>.........................] - ETA: 4:28 - loss: 265.8347 - logits_profile_predictions_loss: 262.4030 - logcount_predictions_loss: 0.3237 221/1102 [=====>........................] - ETA: 4:27 - loss: 265.8351 - logits_profile_predictions_loss: 262.4031 - logcount_predictions_loss: 0.3238 222/1102 [=====>........................] - ETA: 4:27 - loss: 265.8355 - logits_profile_predictions_loss: 262.4032 - logcount_predictions_loss: 0.3238 223/1102 [=====>........................] - ETA: 4:27 - loss: 265.8360 - logits_profile_predictions_loss: 262.4034 - logcount_predictions_loss: 0.3238 224/1102 [=====>........................] - ETA: 4:27 - loss: 265.8360 - logits_profile_predictions_loss: 262.4031 - logcount_predictions_loss: 0.3239 225/1102 [=====>........................] - ETA: 4:26 - loss: 265.8357 - logits_profile_predictions_loss: 262.4025 - logcount_predictions_loss: 0.3239 226/1102 [=====>........................] - ETA: 4:26 - loss: 265.8356 - logits_profile_predictions_loss: 262.4021 - logcount_predictions_loss: 0.3239 227/1102 [=====>........................] - ETA: 4:26 - loss: 265.8352 - logits_profile_predictions_loss: 262.4014 - logcount_predictions_loss: 0.3239 228/1102 [=====>........................] - ETA: 4:25 - loss: 265.8349 - logits_profile_predictions_loss: 262.4009 - logcount_predictions_loss: 0.3240 229/1102 [=====>........................] - ETA: 4:25 - loss: 265.8346 - logits_profile_predictions_loss: 262.4003 - logcount_predictions_loss: 0.3240 230/1102 [=====>........................] - ETA: 4:25 - loss: 265.8343 - logits_profile_predictions_loss: 262.3997 - logcount_predictions_loss: 0.3240 231/1102 [=====>........................] - ETA: 4:24 - loss: 265.8339 - logits_profile_predictions_loss: 262.3990 - logcount_predictions_loss: 0.3240 232/1102 [=====>........................] - ETA: 4:24 - loss: 265.8331 - logits_profile_predictions_loss: 262.3980 - logcount_predictions_loss: 0.3241 233/1102 [=====>........................] - ETA: 4:24 - loss: 265.8323 - logits_profile_predictions_loss: 262.3970 - logcount_predictions_loss: 0.3241 234/1102 [=====>........................] - ETA: 4:23 - loss: 265.8320 - logits_profile_predictions_loss: 262.3965 - logcount_predictions_loss: 0.3241 235/1102 [=====>........................] - ETA: 4:23 - loss: 265.8314 - logits_profile_predictions_loss: 262.3956 - logcount_predictions_loss: 0.3241 236/1102 [=====>........................] - ETA: 4:23 - loss: 265.8306 - logits_profile_predictions_loss: 262.3945 - logcount_predictions_loss: 0.3242 237/1102 [=====>........................] - ETA: 4:23 - loss: 265.8304 - logits_profile_predictions_loss: 262.3941 - logcount_predictions_loss: 0.3242 238/1102 [=====>........................] - ETA: 4:22 - loss: 265.8303 - logits_profile_predictions_loss: 262.3938 - logcount_predictions_loss: 0.3242 239/1102 [=====>........................] - ETA: 4:22 - loss: 265.8298 - logits_profile_predictions_loss: 262.3930 - logcount_predictions_loss: 0.3242 240/1102 [=====>........................] - ETA: 4:22 - loss: 265.8292 - logits_profile_predictions_loss: 262.3921 - logcount_predictions_loss: 0.3243 241/1102 [=====>........................] - ETA: 4:21 - loss: 265.8285 - logits_profile_predictions_loss: 262.3911 - logcount_predictions_loss: 0.3243 242/1102 [=====>........................] - ETA: 4:21 - loss: 265.8276 - logits_profile_predictions_loss: 262.3900 - logcount_predictions_loss: 0.3243 243/1102 [=====>........................] - ETA: 4:21 - loss: 265.8270 - logits_profile_predictions_loss: 262.3891 - logcount_predictions_loss: 0.3243 244/1102 [=====>........................] - ETA: 4:20 - loss: 265.8270 - logits_profile_predictions_loss: 262.3888 - logcount_predictions_loss: 0.3244 245/1102 [=====>........................] - ETA: 4:20 - loss: 265.8267 - logits_profile_predictions_loss: 262.3882 - logcount_predictions_loss: 0.3244 246/1102 [=====>........................] - ETA: 4:20 - loss: 265.8265 - logits_profile_predictions_loss: 262.3878 - logcount_predictions_loss: 0.3244 247/1102 [=====>........................] - ETA: 4:20 - loss: 265.8263 - logits_profile_predictions_loss: 262.3874 - logcount_predictions_loss: 0.3244 248/1102 [=====>........................] - ETA: 4:19 - loss: 265.8262 - logits_profile_predictions_loss: 262.3869 - logcount_predictions_loss: 0.3245 249/1102 [=====>........................] - ETA: 4:19 - loss: 265.8264 - logits_profile_predictions_loss: 262.3869 - logcount_predictions_loss: 0.3245 250/1102 [=====>........................] - ETA: 4:19 - loss: 265.8269 - 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[=====>........................] - ETA: 4:16 - loss: 265.8300 - logits_profile_predictions_loss: 262.3885 - logcount_predictions_loss: 0.3247 258/1102 [======>.......................] - ETA: 4:16 - loss: 265.8300 - logits_profile_predictions_loss: 262.3883 - logcount_predictions_loss: 0.3247 259/1102 [======>.......................] - ETA: 4:16 - loss: 265.8299 - logits_profile_predictions_loss: 262.3880 - logcount_predictions_loss: 0.3247 260/1102 [======>.......................] - ETA: 4:16 - loss: 265.8295 - logits_profile_predictions_loss: 262.3873 - logcount_predictions_loss: 0.3247 261/1102 [======>.......................] - ETA: 4:15 - loss: 265.8292 - logits_profile_predictions_loss: 262.3868 - logcount_predictions_loss: 0.3248 262/1102 [======>.......................] - ETA: 4:15 - loss: 265.8287 - logits_profile_predictions_loss: 262.3861 - logcount_predictions_loss: 0.3248 263/1102 [======>.......................] - ETA: 4:15 - loss: 265.8278 - 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[======>.......................] - ETA: 4:13 - loss: 265.8270 - logits_profile_predictions_loss: 262.3825 - logcount_predictions_loss: 0.3249 271/1102 [======>.......................] - ETA: 4:12 - loss: 265.8276 - logits_profile_predictions_loss: 262.3829 - logcount_predictions_loss: 0.3250 272/1102 [======>.......................] - ETA: 4:12 - loss: 265.8280 - logits_profile_predictions_loss: 262.3831 - logcount_predictions_loss: 0.3250 273/1102 [======>.......................] - ETA: 4:12 - loss: 265.8289 - logits_profile_predictions_loss: 262.3836 - logcount_predictions_loss: 0.3250 274/1102 [======>.......................] - ETA: 4:11 - loss: 265.8294 - logits_profile_predictions_loss: 262.3839 - logcount_predictions_loss: 0.3250 275/1102 [======>.......................] - ETA: 4:11 - loss: 265.8299 - logits_profile_predictions_loss: 262.3842 - logcount_predictions_loss: 0.3251 276/1102 [======>.......................] - ETA: 4:11 - loss: 265.8301 - 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[======>.......................] - ETA: 4:09 - loss: 265.8339 - logits_profile_predictions_loss: 262.3860 - logcount_predictions_loss: 0.3253 284/1102 [======>.......................] - ETA: 4:08 - loss: 265.8347 - logits_profile_predictions_loss: 262.3867 - logcount_predictions_loss: 0.3253 285/1102 [======>.......................] - ETA: 4:08 - loss: 265.8355 - logits_profile_predictions_loss: 262.3872 - logcount_predictions_loss: 0.3253 286/1102 [======>.......................] - ETA: 4:08 - loss: 265.8359 - logits_profile_predictions_loss: 262.3874 - logcount_predictions_loss: 0.3253 287/1102 [======>.......................] - ETA: 4:07 - loss: 265.8365 - logits_profile_predictions_loss: 262.3877 - logcount_predictions_loss: 0.3254 288/1102 [======>.......................] - ETA: 4:07 - loss: 265.8369 - logits_profile_predictions_loss: 262.3879 - logcount_predictions_loss: 0.3254 289/1102 [======>.......................] - ETA: 4:07 - loss: 265.8373 - 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[=======>......................] - ETA: 4:05 - loss: 265.8412 - logits_profile_predictions_loss: 262.3903 - logcount_predictions_loss: 0.3256 297/1102 [=======>......................] - ETA: 4:04 - loss: 265.8415 - logits_profile_predictions_loss: 262.3905 - logcount_predictions_loss: 0.3256 298/1102 [=======>......................] - ETA: 4:04 - loss: 265.8419 - logits_profile_predictions_loss: 262.3906 - logcount_predictions_loss: 0.3256 299/1102 [=======>......................] - ETA: 4:04 - loss: 265.8424 - logits_profile_predictions_loss: 262.3910 - logcount_predictions_loss: 0.3256 300/1102 [=======>......................] - ETA: 4:03 - loss: 265.8430 - logits_profile_predictions_loss: 262.3914 - logcount_predictions_loss: 0.3256 301/1102 [=======>......................] - ETA: 4:03 - loss: 265.8438 - logits_profile_predictions_loss: 262.3920 - logcount_predictions_loss: 0.3256 302/1102 [=======>......................] - ETA: 4:03 - loss: 265.8446 - 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[=======>......................] - ETA: 4:01 - loss: 265.8508 - logits_profile_predictions_loss: 262.3976 - logcount_predictions_loss: 0.3258 310/1102 [=======>......................] - ETA: 4:00 - loss: 265.8519 - logits_profile_predictions_loss: 262.3986 - logcount_predictions_loss: 0.3258 311/1102 [=======>......................] - ETA: 4:00 - loss: 265.8535 - logits_profile_predictions_loss: 262.4000 - logcount_predictions_loss: 0.3258 312/1102 [=======>......................] - ETA: 4:00 - loss: 265.8550 - logits_profile_predictions_loss: 262.4014 - logcount_predictions_loss: 0.3258 313/1102 [=======>......................] - ETA: 3:59 - loss: 265.8561 - logits_profile_predictions_loss: 262.4023 - logcount_predictions_loss: 0.3258 314/1102 [=======>......................] - ETA: 3:59 - loss: 265.8572 - logits_profile_predictions_loss: 262.4033 - logcount_predictions_loss: 0.3258 315/1102 [=======>......................] - ETA: 3:59 - loss: 265.8587 - 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274.4486 - val_logits_profile_predictions_loss: 271.1104 - val_logcount_predictions_loss: 0.3149 + +Epoch 00005: val_loss did not improve from 274.29785 +Epoch 6/50 + 1/1102 [..............................] - ETA: 5:45 - loss: 259.4912 - logits_profile_predictions_loss: 255.6788 - logcount_predictions_loss: 0.3597 2/1102 [..............................] - ETA: 5:33 - loss: 265.9525 - logits_profile_predictions_loss: 262.5219 - logcount_predictions_loss: 0.3236 3/1102 [..............................] - ETA: 5:33 - loss: 268.8069 - logits_profile_predictions_loss: 265.3925 - logcount_predictions_loss: 0.3221 4/1102 [..............................] - ETA: 5:33 - loss: 270.0646 - logits_profile_predictions_loss: 266.6318 - logcount_predictions_loss: 0.3239 5/1102 [..............................] - ETA: 5:32 - loss: 270.4740 - logits_profile_predictions_loss: 267.0756 - logcount_predictions_loss: 0.3206 6/1102 [..............................] - ETA: 5:32 - loss: 270.6958 - logits_profile_predictions_loss: 267.3271 - logcount_predictions_loss: 0.3178 7/1102 [..............................] - ETA: 5:32 - loss: 271.2319 - logits_profile_predictions_loss: 267.8733 - logcount_predictions_loss: 0.3168 8/1102 [..............................] - ETA: 5:32 - loss: 271.4052 - logits_profile_predictions_loss: 268.0522 - logcount_predictions_loss: 0.3163 9/1102 [..............................] - ETA: 5:31 - loss: 271.4051 - logits_profile_predictions_loss: 268.0693 - logcount_predictions_loss: 0.3147 10/1102 [..............................] - ETA: 5:31 - loss: 271.3047 - logits_profile_predictions_loss: 267.9882 - logcount_predictions_loss: 0.3129 11/1102 [..............................] - ETA: 5:31 - loss: 271.1297 - logits_profile_predictions_loss: 267.8255 - logcount_predictions_loss: 0.3117 12/1102 [..............................] - ETA: 5:30 - loss: 270.8975 - logits_profile_predictions_loss: 267.6041 - logcount_predictions_loss: 0.3107 13/1102 [..............................] - ETA: 5:30 - loss: 270.7770 - logits_profile_predictions_loss: 267.4897 - logcount_predictions_loss: 0.3101 14/1102 [..............................] - ETA: 5:30 - loss: 270.5027 - logits_profile_predictions_loss: 267.2251 - logcount_predictions_loss: 0.3092 15/1102 [..............................] - ETA: 5:29 - loss: 270.2220 - logits_profile_predictions_loss: 266.9514 - logcount_predictions_loss: 0.3085 16/1102 [..............................] - ETA: 5:29 - loss: 270.0763 - logits_profile_predictions_loss: 266.8106 - logcount_predictions_loss: 0.3081 17/1102 [..............................] - ETA: 5:29 - loss: 270.0137 - logits_profile_predictions_loss: 266.7522 - logcount_predictions_loss: 0.3077 18/1102 [..............................] - ETA: 5:29 - loss: 269.8592 - logits_profile_predictions_loss: 266.5981 - logcount_predictions_loss: 0.3077 19/1102 [..............................] - ETA: 5:28 - loss: 269.6894 - logits_profile_predictions_loss: 266.4293 - logcount_predictions_loss: 0.3076 20/1102 [..............................] - ETA: 5:28 - loss: 269.5067 - logits_profile_predictions_loss: 266.2492 - logcount_predictions_loss: 0.3073 21/1102 [..............................] - ETA: 5:28 - loss: 269.3520 - logits_profile_predictions_loss: 266.0949 - logcount_predictions_loss: 0.3073 22/1102 [..............................] - ETA: 5:27 - loss: 269.2470 - logits_profile_predictions_loss: 265.9905 - logcount_predictions_loss: 0.3072 23/1102 [..............................] - ETA: 5:27 - loss: 269.0943 - logits_profile_predictions_loss: 265.8395 - logcount_predictions_loss: 0.3071 24/1102 [..............................] - ETA: 5:27 - loss: 268.9507 - logits_profile_predictions_loss: 265.6970 - logcount_predictions_loss: 0.3070 25/1102 [..............................] - ETA: 5:26 - loss: 268.8424 - logits_profile_predictions_loss: 265.5908 - logcount_predictions_loss: 0.3068 26/1102 [..............................] - ETA: 5:26 - loss: 268.6966 - logits_profile_predictions_loss: 265.4469 - logcount_predictions_loss: 0.3066 27/1102 [..............................] - ETA: 5:26 - loss: 268.5850 - logits_profile_predictions_loss: 265.3371 - logcount_predictions_loss: 0.3064 28/1102 [..............................] - ETA: 5:26 - loss: 268.4663 - logits_profile_predictions_loss: 265.2197 - logcount_predictions_loss: 0.3063 29/1102 [..............................] - ETA: 5:25 - loss: 268.3177 - logits_profile_predictions_loss: 265.0729 - logcount_predictions_loss: 0.3061 30/1102 [..............................] - ETA: 5:25 - loss: 268.2013 - logits_profile_predictions_loss: 264.9584 - logcount_predictions_loss: 0.3059 31/1102 [..............................] - ETA: 5:25 - loss: 268.0959 - logits_profile_predictions_loss: 264.8546 - logcount_predictions_loss: 0.3058 32/1102 [..............................] - ETA: 5:24 - loss: 267.9812 - logits_profile_predictions_loss: 264.7405 - logcount_predictions_loss: 0.3057 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logits_profile_predictions_loss: 264.2346 - logcount_predictions_loss: 0.3068 40/1102 [>.............................] - ETA: 5:22 - loss: 267.4294 - logits_profile_predictions_loss: 264.1740 - logcount_predictions_loss: 0.3071 41/1102 [>.............................] - ETA: 5:22 - loss: 267.3696 - logits_profile_predictions_loss: 264.1115 - logcount_predictions_loss: 0.3074 42/1102 [>.............................] - ETA: 5:21 - loss: 267.3086 - logits_profile_predictions_loss: 264.0480 - logcount_predictions_loss: 0.3076 43/1102 [>.............................] - ETA: 5:21 - loss: 267.2496 - logits_profile_predictions_loss: 263.9872 - logcount_predictions_loss: 0.3078 44/1102 [>.............................] - ETA: 5:21 - loss: 267.2042 - logits_profile_predictions_loss: 263.9391 - logcount_predictions_loss: 0.3080 45/1102 [>.............................] - ETA: 5:21 - loss: 267.1583 - logits_profile_predictions_loss: 263.8908 - logcount_predictions_loss: 0.3083 46/1102 [>.............................] - ETA: 5:20 - loss: 267.1133 - logits_profile_predictions_loss: 263.8436 - logcount_predictions_loss: 0.3085 47/1102 [>.............................] - ETA: 5:20 - loss: 267.0647 - logits_profile_predictions_loss: 263.7926 - logcount_predictions_loss: 0.3087 48/1102 [>.............................] - ETA: 5:20 - loss: 267.0175 - logits_profile_predictions_loss: 263.7429 - logcount_predictions_loss: 0.3089 49/1102 [>.............................] - ETA: 5:19 - loss: 266.9587 - logits_profile_predictions_loss: 263.6820 - logcount_predictions_loss: 0.3091 50/1102 [>.............................] - ETA: 5:19 - loss: 266.9051 - logits_profile_predictions_loss: 263.6258 - logcount_predictions_loss: 0.3094 51/1102 [>.............................] - ETA: 5:19 - loss: 266.8522 - logits_profile_predictions_loss: 263.5703 - logcount_predictions_loss: 0.3096 52/1102 [>.............................] - ETA: 5:18 - loss: 266.7984 - logits_profile_predictions_loss: 263.5137 - logcount_predictions_loss: 0.3099 53/1102 [>.............................] - ETA: 5:18 - loss: 266.7393 - logits_profile_predictions_loss: 263.4515 - logcount_predictions_loss: 0.3102 54/1102 [>.............................] - ETA: 5:18 - loss: 266.6780 - logits_profile_predictions_loss: 263.3872 - logcount_predictions_loss: 0.3105 55/1102 [>.............................] - ETA: 5:18 - loss: 266.6240 - logits_profile_predictions_loss: 263.3302 - logcount_predictions_loss: 0.3107 56/1102 [>.............................] - ETA: 5:17 - loss: 266.5703 - logits_profile_predictions_loss: 263.2739 - logcount_predictions_loss: 0.3110 57/1102 [>.............................] - ETA: 5:17 - loss: 266.5130 - logits_profile_predictions_loss: 263.2140 - logcount_predictions_loss: 0.3112 58/1102 [>.............................] - ETA: 5:17 - loss: 266.4578 - logits_profile_predictions_loss: 263.1564 - logcount_predictions_loss: 0.3114 59/1102 [>.............................] - ETA: 5:16 - loss: 266.4125 - logits_profile_predictions_loss: 263.1090 - logcount_predictions_loss: 0.3116 60/1102 [>.............................] - ETA: 5:16 - loss: 266.3633 - logits_profile_predictions_loss: 263.0576 - logcount_predictions_loss: 0.3119 61/1102 [>.............................] - ETA: 5:16 - loss: 266.3181 - logits_profile_predictions_loss: 263.0105 - logcount_predictions_loss: 0.3120 62/1102 [>.............................] - ETA: 5:15 - loss: 266.2760 - logits_profile_predictions_loss: 262.9664 - logcount_predictions_loss: 0.3122 63/1102 [>.............................] - ETA: 5:15 - loss: 266.2296 - logits_profile_predictions_loss: 262.9182 - logcount_predictions_loss: 0.3124 64/1102 [>.............................] - ETA: 5:15 - loss: 266.1875 - logits_profile_predictions_loss: 262.8742 - logcount_predictions_loss: 0.3126 65/1102 [>.............................] - ETA: 5:15 - loss: 266.1461 - logits_profile_predictions_loss: 262.8311 - logcount_predictions_loss: 0.3127 66/1102 [>.............................] - ETA: 5:14 - loss: 266.1102 - logits_profile_predictions_loss: 262.7936 - logcount_predictions_loss: 0.3129 67/1102 [>.............................] - ETA: 5:14 - loss: 266.0755 - logits_profile_predictions_loss: 262.7572 - logcount_predictions_loss: 0.3130 68/1102 [>.............................] - ETA: 5:14 - loss: 266.0450 - logits_profile_predictions_loss: 262.7251 - logcount_predictions_loss: 0.3132 69/1102 [>.............................] - ETA: 5:13 - loss: 266.0163 - logits_profile_predictions_loss: 262.6950 - logcount_predictions_loss: 0.3133 70/1102 [>.............................] - ETA: 5:13 - loss: 265.9891 - logits_profile_predictions_loss: 262.6664 - logcount_predictions_loss: 0.3135 71/1102 [>.............................] - ETA: 5:13 - loss: 265.9614 - logits_profile_predictions_loss: 262.6371 - logcount_predictions_loss: 0.3136 72/1102 [>.............................] - ETA: 5:12 - loss: 265.9349 - logits_profile_predictions_loss: 262.6091 - logcount_predictions_loss: 0.3137 73/1102 [>.............................] - ETA: 5:12 - loss: 265.9148 - logits_profile_predictions_loss: 262.5878 - logcount_predictions_loss: 0.3139 74/1102 [=>............................] - ETA: 5:12 - loss: 265.8952 - logits_profile_predictions_loss: 262.5669 - logcount_predictions_loss: 0.3140 75/1102 [=>............................] - ETA: 5:12 - loss: 265.8770 - logits_profile_predictions_loss: 262.5475 - logcount_predictions_loss: 0.3141 76/1102 [=>............................] - ETA: 5:11 - loss: 265.8571 - logits_profile_predictions_loss: 262.5262 - logcount_predictions_loss: 0.3142 77/1102 [=>............................] - ETA: 5:11 - loss: 265.8364 - logits_profile_predictions_loss: 262.5043 - logcount_predictions_loss: 0.3144 78/1102 [=>............................] - ETA: 5:11 - loss: 265.8086 - logits_profile_predictions_loss: 262.4752 - logcount_predictions_loss: 0.3145 79/1102 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[==>...........................] - ETA: 4:57 - loss: 265.7723 - logits_profile_predictions_loss: 262.3739 - logcount_predictions_loss: 0.3206 126/1102 [==>...........................] - ETA: 4:56 - loss: 265.7806 - logits_profile_predictions_loss: 262.3813 - logcount_predictions_loss: 0.3207 127/1102 [==>...........................] - ETA: 4:56 - loss: 265.7868 - logits_profile_predictions_loss: 262.3866 - logcount_predictions_loss: 0.3208 128/1102 [==>...........................] - ETA: 4:56 - loss: 265.7928 - logits_profile_predictions_loss: 262.3915 - logcount_predictions_loss: 0.3209 129/1102 [==>...........................] - ETA: 4:55 - loss: 265.7994 - logits_profile_predictions_loss: 262.3972 - logcount_predictions_loss: 0.3210 130/1102 [==>...........................] - ETA: 4:55 - loss: 265.8053 - logits_profile_predictions_loss: 262.4021 - logcount_predictions_loss: 0.3211 131/1102 [==>...........................] - ETA: 4:55 - loss: 265.8122 - 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[==>...........................] - ETA: 4:53 - loss: 265.8579 - logits_profile_predictions_loss: 262.4466 - logcount_predictions_loss: 0.3218 139/1102 [==>...........................] - ETA: 4:52 - loss: 265.8664 - logits_profile_predictions_loss: 262.4542 - logcount_predictions_loss: 0.3219 140/1102 [==>...........................] - ETA: 4:52 - loss: 265.8760 - logits_profile_predictions_loss: 262.4628 - logcount_predictions_loss: 0.3220 141/1102 [==>...........................] - ETA: 4:52 - loss: 265.8859 - logits_profile_predictions_loss: 262.4717 - logcount_predictions_loss: 0.3221 142/1102 [==>...........................] - ETA: 4:51 - loss: 265.8968 - logits_profile_predictions_loss: 262.4817 - logcount_predictions_loss: 0.3222 143/1102 [==>...........................] - ETA: 4:51 - loss: 265.9066 - logits_profile_predictions_loss: 262.4906 - logcount_predictions_loss: 0.3223 144/1102 [==>...........................] - ETA: 4:51 - loss: 265.9164 - 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[===>..........................] - ETA: 4:49 - loss: 265.9803 - logits_profile_predictions_loss: 262.5574 - logcount_predictions_loss: 0.3229 152/1102 [===>..........................] - ETA: 4:48 - loss: 265.9887 - logits_profile_predictions_loss: 262.5650 - logcount_predictions_loss: 0.3230 153/1102 [===>..........................] - ETA: 4:48 - loss: 265.9972 - logits_profile_predictions_loss: 262.5728 - logcount_predictions_loss: 0.3231 154/1102 [===>..........................] - ETA: 4:48 - loss: 266.0050 - logits_profile_predictions_loss: 262.5798 - logcount_predictions_loss: 0.3231 155/1102 [===>..........................] - ETA: 4:47 - loss: 266.0133 - logits_profile_predictions_loss: 262.5874 - logcount_predictions_loss: 0.3232 156/1102 [===>..........................] - ETA: 4:47 - loss: 266.0226 - logits_profile_predictions_loss: 262.5960 - logcount_predictions_loss: 0.3233 157/1102 [===>..........................] - ETA: 4:47 - loss: 266.0316 - 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[===>..........................] - ETA: 4:45 - loss: 266.0794 - logits_profile_predictions_loss: 262.6471 - logcount_predictions_loss: 0.3238 165/1102 [===>..........................] - ETA: 4:44 - loss: 266.0833 - logits_profile_predictions_loss: 262.6503 - logcount_predictions_loss: 0.3239 166/1102 [===>..........................] - ETA: 4:44 - loss: 266.0875 - logits_profile_predictions_loss: 262.6538 - logcount_predictions_loss: 0.3239 167/1102 [===>..........................] - ETA: 4:44 - loss: 266.0927 - logits_profile_predictions_loss: 262.6583 - logcount_predictions_loss: 0.3240 168/1102 [===>..........................] - ETA: 4:43 - loss: 266.0979 - logits_profile_predictions_loss: 262.6628 - logcount_predictions_loss: 0.3241 169/1102 [===>..........................] - ETA: 4:43 - loss: 266.1027 - logits_profile_predictions_loss: 262.6669 - logcount_predictions_loss: 0.3241 170/1102 [===>..........................] - ETA: 4:43 - loss: 266.1070 - 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[====>.........................] - ETA: 4:37 - loss: 266.1723 - logits_profile_predictions_loss: 262.7245 - logcount_predictions_loss: 0.3253 191/1102 [====>.........................] - ETA: 4:37 - loss: 266.1757 - logits_profile_predictions_loss: 262.7274 - logcount_predictions_loss: 0.3253 192/1102 [====>.........................] - ETA: 4:36 - loss: 266.1783 - logits_profile_predictions_loss: 262.7296 - logcount_predictions_loss: 0.3253 193/1102 [====>.........................] - ETA: 4:36 - loss: 266.1806 - logits_profile_predictions_loss: 262.7315 - logcount_predictions_loss: 0.3254 194/1102 [====>.........................] - ETA: 4:36 - loss: 266.1827 - logits_profile_predictions_loss: 262.7332 - logcount_predictions_loss: 0.3254 195/1102 [====>.........................] - ETA: 4:35 - loss: 266.1854 - logits_profile_predictions_loss: 262.7355 - logcount_predictions_loss: 0.3255 196/1102 [====>.........................] - ETA: 4:35 - loss: 266.1876 - 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[==============================] - ETA: 0s - loss: 265.8702 - logits_profile_predictions_loss: 262.4985 - logcount_predictions_loss: 0.3181 1102/1102 [==============================] - 348s 315ms/step - loss: 265.8702 - logits_profile_predictions_loss: 262.4986 - logcount_predictions_loss: 0.3181 - val_loss: 274.0012 - val_logits_profile_predictions_loss: 270.6063 - val_logcount_predictions_loss: 0.3203 + +Epoch 00006: val_loss improved from 274.29785 to 274.00116, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 7/50 + 1/1102 [..............................] - ETA: 5:49 - loss: 270.9882 - logits_profile_predictions_loss: 268.0761 - logcount_predictions_loss: 0.2747 2/1102 [..............................] - ETA: 5:32 - loss: 274.1403 - logits_profile_predictions_loss: 271.1683 - logcount_predictions_loss: 0.2804 3/1102 [..............................] - ETA: 5:32 - loss: 270.4384 - logits_profile_predictions_loss: 267.5290 - logcount_predictions_loss: 0.2745 4/1102 [..............................] - ETA: 5:32 - loss: 268.6774 - logits_profile_predictions_loss: 265.7992 - logcount_predictions_loss: 0.2715 5/1102 [..............................] - ETA: 5:32 - loss: 266.9569 - logits_profile_predictions_loss: 264.1235 - logcount_predictions_loss: 0.2673 6/1102 [..............................] - ETA: 5:32 - loss: 266.0286 - logits_profile_predictions_loss: 263.1829 - logcount_predictions_loss: 0.2685 7/1102 [..............................] - ETA: 5:31 - loss: 265.6257 - logits_profile_predictions_loss: 262.7699 - logcount_predictions_loss: 0.2694 8/1102 [..............................] - ETA: 5:31 - loss: 265.1841 - logits_profile_predictions_loss: 262.3295 - logcount_predictions_loss: 0.2693 9/1102 [..............................] - ETA: 5:31 - loss: 264.9257 - logits_profile_predictions_loss: 262.0720 - logcount_predictions_loss: 0.2692 10/1102 [..............................] - ETA: 5:31 - loss: 264.8142 - logits_profile_predictions_loss: 261.9461 - logcount_predictions_loss: 0.2706 11/1102 [..............................] - ETA: 5:30 - loss: 264.6848 - logits_profile_predictions_loss: 261.8080 - logcount_predictions_loss: 0.2714 12/1102 [..............................] - ETA: 5:30 - loss: 264.7970 - logits_profile_predictions_loss: 261.8978 - logcount_predictions_loss: 0.2735 13/1102 [..............................] - ETA: 5:30 - loss: 265.1269 - logits_profile_predictions_loss: 262.2039 - logcount_predictions_loss: 0.2757 14/1102 [..............................] - ETA: 5:29 - loss: 265.3713 - logits_profile_predictions_loss: 262.4271 - logcount_predictions_loss: 0.2778 15/1102 [..............................] - ETA: 5:29 - loss: 265.5777 - logits_profile_predictions_loss: 262.6162 - logcount_predictions_loss: 0.2794 16/1102 [..............................] - ETA: 5:29 - loss: 265.8165 - logits_profile_predictions_loss: 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30/1102 [..............................] - ETA: 5:25 - loss: 267.5616 - logits_profile_predictions_loss: 264.5301 - logcount_predictions_loss: 0.2860 31/1102 [..............................] - ETA: 5:25 - loss: 267.6510 - logits_profile_predictions_loss: 264.6196 - logcount_predictions_loss: 0.2860 32/1102 [..............................] - ETA: 5:24 - loss: 267.7445 - logits_profile_predictions_loss: 264.7138 - logcount_predictions_loss: 0.2859 33/1102 [..............................] - ETA: 5:24 - loss: 267.8190 - logits_profile_predictions_loss: 264.7885 - logcount_predictions_loss: 0.2859 34/1102 [..............................] - ETA: 5:24 - loss: 267.8696 - logits_profile_predictions_loss: 264.8394 - logcount_predictions_loss: 0.2859 35/1102 [..............................] - ETA: 5:23 - loss: 267.9113 - logits_profile_predictions_loss: 264.8817 - logcount_predictions_loss: 0.2858 36/1102 [..............................] - ETA: 5:23 - loss: 267.9531 - 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[=>............................] - ETA: 5:11 - loss: 267.5405 - logits_profile_predictions_loss: 264.4859 - logcount_predictions_loss: 0.2882 77/1102 [=>............................] - ETA: 5:11 - loss: 267.5428 - logits_profile_predictions_loss: 264.4875 - logcount_predictions_loss: 0.2882 78/1102 [=>............................] - ETA: 5:11 - loss: 267.5450 - logits_profile_predictions_loss: 264.4890 - logcount_predictions_loss: 0.2883 79/1102 [=>............................] - ETA: 5:10 - loss: 267.5548 - logits_profile_predictions_loss: 264.4977 - logcount_predictions_loss: 0.2884 80/1102 [=>............................] - ETA: 5:10 - loss: 267.5630 - logits_profile_predictions_loss: 264.5050 - logcount_predictions_loss: 0.2885 81/1102 [=>............................] - ETA: 5:10 - loss: 267.5739 - logits_profile_predictions_loss: 264.5150 - logcount_predictions_loss: 0.2886 82/1102 [=>............................] - ETA: 5:09 - loss: 267.5858 - logits_profile_predictions_loss: 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loss: 267.6593 - logits_profile_predictions_loss: 264.5928 - logcount_predictions_loss: 0.2893 90/1102 [=>............................] - ETA: 5:07 - loss: 267.6686 - logits_profile_predictions_loss: 264.6011 - logcount_predictions_loss: 0.2894 91/1102 [=>............................] - ETA: 5:07 - loss: 267.6777 - logits_profile_predictions_loss: 264.6090 - logcount_predictions_loss: 0.2895 92/1102 [=>............................] - ETA: 5:06 - loss: 267.6860 - logits_profile_predictions_loss: 264.6163 - logcount_predictions_loss: 0.2896 93/1102 [=>............................] - ETA: 5:06 - loss: 267.6900 - logits_profile_predictions_loss: 264.6194 - logcount_predictions_loss: 0.2897 94/1102 [=>............................] - ETA: 5:06 - loss: 267.6947 - logits_profile_predictions_loss: 264.6231 - logcount_predictions_loss: 0.2898 95/1102 [=>............................] - ETA: 5:05 - loss: 267.6994 - logits_profile_predictions_loss: 264.6271 - logcount_predictions_loss: 0.2898 96/1102 [=>............................] - ETA: 5:05 - loss: 267.7024 - logits_profile_predictions_loss: 264.6291 - logcount_predictions_loss: 0.2899 97/1102 [=>............................] - ETA: 5:05 - loss: 267.7041 - logits_profile_predictions_loss: 264.6301 - logcount_predictions_loss: 0.2900 98/1102 [=>............................] - ETA: 5:05 - loss: 267.7058 - logits_profile_predictions_loss: 264.6310 - logcount_predictions_loss: 0.2901 99/1102 [=>............................] - ETA: 5:04 - loss: 267.7055 - logits_profile_predictions_loss: 264.6300 - logcount_predictions_loss: 0.2901 100/1102 [=>............................] - ETA: 5:04 - loss: 267.7040 - logits_profile_predictions_loss: 264.6279 - logcount_predictions_loss: 0.2902 101/1102 [=>............................] - ETA: 5:04 - loss: 267.7023 - logits_profile_predictions_loss: 264.6257 - logcount_predictions_loss: 0.2902 102/1102 [=>............................] - ETA: 5:03 - loss: 267.7013 - logits_profile_predictions_loss: 264.6241 - logcount_predictions_loss: 0.2903 103/1102 [=>............................] - ETA: 5:03 - loss: 267.6972 - logits_profile_predictions_loss: 264.6195 - logcount_predictions_loss: 0.2903 104/1102 [=>............................] - ETA: 5:03 - loss: 267.6920 - logits_profile_predictions_loss: 264.6139 - logcount_predictions_loss: 0.2904 105/1102 [=>............................] - ETA: 5:02 - loss: 267.6837 - logits_profile_predictions_loss: 264.6052 - logcount_predictions_loss: 0.2904 106/1102 [=>............................] - ETA: 5:02 - loss: 267.6756 - logits_profile_predictions_loss: 264.5968 - logcount_predictions_loss: 0.2905 107/1102 [=>............................] - ETA: 5:02 - loss: 267.6683 - logits_profile_predictions_loss: 264.5892 - logcount_predictions_loss: 0.2905 108/1102 [=>............................] - ETA: 5:01 - loss: 267.6598 - logits_profile_predictions_loss: 264.5803 - logcount_predictions_loss: 0.2905 109/1102 [=>............................] - ETA: 5:01 - loss: 267.6515 - logits_profile_predictions_loss: 264.5716 - logcount_predictions_loss: 0.2905 110/1102 [=>............................] - ETA: 5:01 - loss: 267.6443 - logits_profile_predictions_loss: 264.5642 - logcount_predictions_loss: 0.2906 111/1102 [==>...........................] - ETA: 5:01 - loss: 267.6387 - logits_profile_predictions_loss: 264.5583 - logcount_predictions_loss: 0.2906 112/1102 [==>...........................] - ETA: 5:00 - loss: 267.6351 - logits_profile_predictions_loss: 264.5545 - logcount_predictions_loss: 0.2906 113/1102 [==>...........................] - ETA: 5:00 - loss: 267.6303 - logits_profile_predictions_loss: 264.5495 - logcount_predictions_loss: 0.2906 114/1102 [==>...........................] - ETA: 5:00 - loss: 267.6246 - logits_profile_predictions_loss: 264.5436 - logcount_predictions_loss: 0.2907 115/1102 [==>...........................] - ETA: 4:59 - loss: 267.6182 - logits_profile_predictions_loss: 264.5371 - logcount_predictions_loss: 0.2907 116/1102 [==>...........................] - ETA: 4:59 - loss: 267.6125 - logits_profile_predictions_loss: 264.5312 - logcount_predictions_loss: 0.2907 117/1102 [==>...........................] - ETA: 4:59 - loss: 267.6075 - logits_profile_predictions_loss: 264.5261 - logcount_predictions_loss: 0.2907 118/1102 [==>...........................] - ETA: 4:59 - loss: 267.6004 - logits_profile_predictions_loss: 264.5188 - logcount_predictions_loss: 0.2907 119/1102 [==>...........................] - ETA: 4:58 - loss: 267.5930 - logits_profile_predictions_loss: 264.5113 - logcount_predictions_loss: 0.2907 120/1102 [==>...........................] - ETA: 4:58 - loss: 267.5842 - logits_profile_predictions_loss: 264.5024 - logcount_predictions_loss: 0.2907 121/1102 [==>...........................] - ETA: 4:58 - loss: 267.5734 - logits_profile_predictions_loss: 264.4914 - logcount_predictions_loss: 0.2907 122/1102 [==>...........................] - ETA: 4:57 - loss: 267.5634 - logits_profile_predictions_loss: 264.4813 - logcount_predictions_loss: 0.2908 123/1102 [==>...........................] - ETA: 4:57 - loss: 267.5556 - logits_profile_predictions_loss: 264.4732 - logcount_predictions_loss: 0.2908 124/1102 [==>...........................] - ETA: 4:57 - loss: 267.5461 - logits_profile_predictions_loss: 264.4635 - logcount_predictions_loss: 0.2908 125/1102 [==>...........................] - ETA: 4:56 - loss: 267.5370 - logits_profile_predictions_loss: 264.4541 - logcount_predictions_loss: 0.2908 126/1102 [==>...........................] - ETA: 4:56 - loss: 267.5295 - logits_profile_predictions_loss: 264.4463 - logcount_predictions_loss: 0.2909 127/1102 [==>...........................] - ETA: 4:56 - loss: 267.5201 - logits_profile_predictions_loss: 264.4367 - logcount_predictions_loss: 0.2909 128/1102 [==>...........................] - ETA: 4:56 - loss: 267.5099 - logits_profile_predictions_loss: 264.4262 - logcount_predictions_loss: 0.2909 129/1102 [==>...........................] - ETA: 4:55 - loss: 267.5007 - logits_profile_predictions_loss: 264.4166 - logcount_predictions_loss: 0.2909 130/1102 [==>...........................] - ETA: 4:55 - loss: 267.4918 - logits_profile_predictions_loss: 264.4074 - logcount_predictions_loss: 0.2910 131/1102 [==>...........................] - ETA: 4:55 - loss: 267.4839 - logits_profile_predictions_loss: 264.3991 - logcount_predictions_loss: 0.2910 132/1102 [==>...........................] - ETA: 4:54 - loss: 267.4770 - logits_profile_predictions_loss: 264.3919 - logcount_predictions_loss: 0.2910 133/1102 [==>...........................] - ETA: 4:54 - loss: 267.4720 - logits_profile_predictions_loss: 264.3865 - logcount_predictions_loss: 0.2911 134/1102 [==>...........................] - ETA: 4:54 - loss: 267.4679 - logits_profile_predictions_loss: 264.3820 - logcount_predictions_loss: 0.2911 135/1102 [==>...........................] - ETA: 4:53 - loss: 267.4638 - logits_profile_predictions_loss: 264.3773 - logcount_predictions_loss: 0.2912 136/1102 [==>...........................] - ETA: 4:53 - loss: 267.4597 - logits_profile_predictions_loss: 264.3726 - logcount_predictions_loss: 0.2912 137/1102 [==>...........................] - ETA: 4:53 - loss: 267.4579 - logits_profile_predictions_loss: 264.3703 - logcount_predictions_loss: 0.2913 138/1102 [==>...........................] - ETA: 4:53 - loss: 267.4567 - logits_profile_predictions_loss: 264.3684 - logcount_predictions_loss: 0.2913 139/1102 [==>...........................] - ETA: 4:52 - loss: 267.4549 - logits_profile_predictions_loss: 264.3661 - logcount_predictions_loss: 0.2914 140/1102 [==>...........................] - ETA: 4:52 - loss: 267.4542 - logits_profile_predictions_loss: 264.3647 - logcount_predictions_loss: 0.2914 141/1102 [==>...........................] - ETA: 4:52 - loss: 267.4527 - logits_profile_predictions_loss: 264.3626 - logcount_predictions_loss: 0.2915 142/1102 [==>...........................] - ETA: 4:51 - loss: 267.4500 - logits_profile_predictions_loss: 264.3592 - logcount_predictions_loss: 0.2916 143/1102 [==>...........................] - ETA: 4:51 - loss: 267.4473 - logits_profile_predictions_loss: 264.3559 - logcount_predictions_loss: 0.2916 144/1102 [==>...........................] - ETA: 4:51 - loss: 267.4457 - logits_profile_predictions_loss: 264.3535 - logcount_predictions_loss: 0.2917 145/1102 [==>...........................] - ETA: 4:50 - loss: 267.4432 - logits_profile_predictions_loss: 264.3503 - logcount_predictions_loss: 0.2918 146/1102 [==>...........................] - ETA: 4:50 - loss: 267.4403 - logits_profile_predictions_loss: 264.3467 - logcount_predictions_loss: 0.2918 147/1102 [===>..........................] - ETA: 4:50 - loss: 267.4367 - logits_profile_predictions_loss: 264.3423 - logcount_predictions_loss: 0.2919 148/1102 [===>..........................] - ETA: 4:49 - loss: 267.4327 - logits_profile_predictions_loss: 264.3377 - logcount_predictions_loss: 0.2920 149/1102 [===>..........................] - ETA: 4:49 - loss: 267.4276 - logits_profile_predictions_loss: 264.3318 - logcount_predictions_loss: 0.2920 150/1102 [===>..........................] - ETA: 4:49 - loss: 267.4232 - logits_profile_predictions_loss: 264.3266 - logcount_predictions_loss: 0.2921 151/1102 [===>..........................] - ETA: 4:49 - loss: 267.4181 - logits_profile_predictions_loss: 264.3208 - logcount_predictions_loss: 0.2922 152/1102 [===>..........................] - ETA: 4:48 - loss: 267.4135 - logits_profile_predictions_loss: 264.3154 - logcount_predictions_loss: 0.2923 153/1102 [===>..........................] - ETA: 4:48 - loss: 267.4089 - logits_profile_predictions_loss: 264.3101 - logcount_predictions_loss: 0.2923 154/1102 [===>..........................] - ETA: 4:48 - loss: 267.4049 - logits_profile_predictions_loss: 264.3054 - logcount_predictions_loss: 0.2924 155/1102 [===>..........................] - ETA: 4:47 - loss: 267.4004 - logits_profile_predictions_loss: 264.3002 - logcount_predictions_loss: 0.2925 156/1102 [===>..........................] - ETA: 4:47 - loss: 267.3953 - logits_profile_predictions_loss: 264.2943 - logcount_predictions_loss: 0.2925 157/1102 [===>..........................] - ETA: 4:47 - loss: 267.3895 - logits_profile_predictions_loss: 264.2879 - logcount_predictions_loss: 0.2926 158/1102 [===>..........................] - ETA: 4:46 - loss: 267.3835 - logits_profile_predictions_loss: 264.2811 - logcount_predictions_loss: 0.2927 159/1102 [===>..........................] - ETA: 4:46 - loss: 267.3778 - logits_profile_predictions_loss: 264.2747 - logcount_predictions_loss: 0.2927 160/1102 [===>..........................] - ETA: 4:46 - loss: 267.3718 - logits_profile_predictions_loss: 264.2680 - logcount_predictions_loss: 0.2928 161/1102 [===>..........................] - ETA: 4:46 - loss: 267.3664 - logits_profile_predictions_loss: 264.2619 - logcount_predictions_loss: 0.2929 162/1102 [===>..........................] - ETA: 4:45 - loss: 267.3606 - logits_profile_predictions_loss: 264.2554 - logcount_predictions_loss: 0.2929 163/1102 [===>..........................] - ETA: 4:45 - loss: 267.3558 - logits_profile_predictions_loss: 264.2498 - logcount_predictions_loss: 0.2930 164/1102 [===>..........................] - ETA: 4:45 - loss: 267.3502 - logits_profile_predictions_loss: 264.2435 - logcount_predictions_loss: 0.2931 165/1102 [===>..........................] - ETA: 4:44 - loss: 267.3457 - logits_profile_predictions_loss: 264.2383 - logcount_predictions_loss: 0.2931 166/1102 [===>..........................] - ETA: 4:44 - loss: 267.3413 - logits_profile_predictions_loss: 264.2333 - logcount_predictions_loss: 0.2932 167/1102 [===>..........................] - ETA: 4:44 - loss: 267.3366 - logits_profile_predictions_loss: 264.2279 - logcount_predictions_loss: 0.2933 168/1102 [===>..........................] - ETA: 4:43 - loss: 267.3322 - logits_profile_predictions_loss: 264.2230 - logcount_predictions_loss: 0.2933 169/1102 [===>..........................] - ETA: 4:43 - loss: 267.3272 - logits_profile_predictions_loss: 264.2174 - logcount_predictions_loss: 0.2934 170/1102 [===>..........................] - ETA: 4:43 - loss: 267.3225 - logits_profile_predictions_loss: 264.2121 - logcount_predictions_loss: 0.2934 171/1102 [===>..........................] - ETA: 4:43 - loss: 267.3189 - logits_profile_predictions_loss: 264.2079 - logcount_predictions_loss: 0.2935 172/1102 [===>..........................] - ETA: 4:42 - loss: 267.3144 - logits_profile_predictions_loss: 264.2028 - logcount_predictions_loss: 0.2935 173/1102 [===>..........................] - ETA: 4:42 - loss: 267.3110 - logits_profile_predictions_loss: 264.1988 - logcount_predictions_loss: 0.2936 174/1102 [===>..........................] - ETA: 4:42 - loss: 267.3077 - logits_profile_predictions_loss: 264.1949 - logcount_predictions_loss: 0.2937 175/1102 [===>..........................] - ETA: 4:41 - loss: 267.3047 - logits_profile_predictions_loss: 264.1914 - logcount_predictions_loss: 0.2937 176/1102 [===>..........................] - ETA: 4:41 - loss: 267.3029 - logits_profile_predictions_loss: 264.1890 - logcount_predictions_loss: 0.2938 177/1102 [===>..........................] - ETA: 4:41 - loss: 267.3008 - logits_profile_predictions_loss: 264.1863 - logcount_predictions_loss: 0.2938 178/1102 [===>..........................] - ETA: 4:40 - loss: 267.2984 - logits_profile_predictions_loss: 264.1834 - logcount_predictions_loss: 0.2939 179/1102 [===>..........................] - ETA: 4:40 - loss: 267.2952 - logits_profile_predictions_loss: 264.1795 - logcount_predictions_loss: 0.2939 180/1102 [===>..........................] - ETA: 4:40 - loss: 267.2921 - logits_profile_predictions_loss: 264.1759 - logcount_predictions_loss: 0.2940 181/1102 [===>..........................] - ETA: 4:39 - loss: 267.2887 - logits_profile_predictions_loss: 264.1719 - logcount_predictions_loss: 0.2940 182/1102 [===>..........................] - ETA: 4:39 - loss: 267.2850 - logits_profile_predictions_loss: 264.1677 - logcount_predictions_loss: 0.2941 183/1102 [===>..........................] - ETA: 4:39 - loss: 267.2810 - logits_profile_predictions_loss: 264.1632 - logcount_predictions_loss: 0.2941 184/1102 [====>.........................] - ETA: 4:39 - loss: 267.2763 - logits_profile_predictions_loss: 264.1579 - logcount_predictions_loss: 0.2942 185/1102 [====>.........................] - ETA: 4:38 - loss: 267.2712 - logits_profile_predictions_loss: 264.1523 - logcount_predictions_loss: 0.2942 186/1102 [====>.........................] - ETA: 4:38 - loss: 267.2667 - logits_profile_predictions_loss: 264.1471 - logcount_predictions_loss: 0.2943 187/1102 [====>.........................] - ETA: 4:38 - loss: 267.2612 - logits_profile_predictions_loss: 264.1411 - logcount_predictions_loss: 0.2943 188/1102 [====>.........................] - ETA: 4:37 - loss: 267.2561 - logits_profile_predictions_loss: 264.1354 - logcount_predictions_loss: 0.2944 189/1102 [====>.........................] - ETA: 4:37 - loss: 267.2512 - logits_profile_predictions_loss: 264.1298 - logcount_predictions_loss: 0.2945 190/1102 [====>.........................] - ETA: 4:37 - loss: 267.2461 - logits_profile_predictions_loss: 264.1242 - logcount_predictions_loss: 0.2945 191/1102 [====>.........................] - ETA: 4:36 - loss: 267.2405 - logits_profile_predictions_loss: 264.1180 - logcount_predictions_loss: 0.2946 192/1102 [====>.........................] - ETA: 4:36 - loss: 267.2352 - logits_profile_predictions_loss: 264.1121 - logcount_predictions_loss: 0.2946 193/1102 [====>.........................] - ETA: 4:36 - loss: 267.2302 - logits_profile_predictions_loss: 264.1065 - logcount_predictions_loss: 0.2947 194/1102 [====>.........................] - ETA: 4:36 - loss: 267.2254 - logits_profile_predictions_loss: 264.1011 - logcount_predictions_loss: 0.2947 195/1102 [====>.........................] - ETA: 4:35 - loss: 267.2203 - logits_profile_predictions_loss: 264.0955 - logcount_predictions_loss: 0.2948 196/1102 [====>.........................] - ETA: 4:35 - loss: 267.2154 - logits_profile_predictions_loss: 264.0901 - logcount_predictions_loss: 0.2948 197/1102 [====>.........................] - ETA: 4:35 - loss: 267.2107 - logits_profile_predictions_loss: 264.0847 - logcount_predictions_loss: 0.2949 198/1102 [====>.........................] - ETA: 4:34 - loss: 267.2058 - logits_profile_predictions_loss: 264.0793 - logcount_predictions_loss: 0.2949 199/1102 [====>.........................] - ETA: 4:34 - loss: 267.2002 - logits_profile_predictions_loss: 264.0732 - logcount_predictions_loss: 0.2950 200/1102 [====>.........................] - ETA: 4:34 - loss: 267.1949 - logits_profile_predictions_loss: 264.0673 - logcount_predictions_loss: 0.2950 201/1102 [====>.........................] - ETA: 4:33 - loss: 267.1894 - logits_profile_predictions_loss: 264.0613 - logcount_predictions_loss: 0.2951 202/1102 [====>.........................] - ETA: 4:33 - loss: 267.1837 - logits_profile_predictions_loss: 264.0552 - logcount_predictions_loss: 0.2951 203/1102 [====>.........................] - ETA: 4:33 - loss: 267.1782 - logits_profile_predictions_loss: 264.0493 - logcount_predictions_loss: 0.2952 204/1102 [====>.........................] - ETA: 4:33 - loss: 267.1718 - logits_profile_predictions_loss: 264.0425 - logcount_predictions_loss: 0.2952 205/1102 [====>.........................] - ETA: 4:32 - loss: 267.1654 - logits_profile_predictions_loss: 264.0355 - logcount_predictions_loss: 0.2953 206/1102 [====>.........................] - ETA: 4:32 - loss: 267.1581 - logits_profile_predictions_loss: 264.0279 - logcount_predictions_loss: 0.2953 207/1102 [====>.........................] - ETA: 4:32 - loss: 267.1510 - logits_profile_predictions_loss: 264.0204 - logcount_predictions_loss: 0.2953 208/1102 [====>.........................] - ETA: 4:31 - loss: 267.1441 - logits_profile_predictions_loss: 264.0130 - logcount_predictions_loss: 0.2954 209/1102 [====>.........................] - ETA: 4:31 - loss: 267.1370 - logits_profile_predictions_loss: 264.0056 - logcount_predictions_loss: 0.2954 210/1102 [====>.........................] - ETA: 4:31 - loss: 267.1300 - logits_profile_predictions_loss: 263.9982 - logcount_predictions_loss: 0.2955 211/1102 [====>.........................] - ETA: 4:30 - loss: 267.1228 - logits_profile_predictions_loss: 263.9905 - logcount_predictions_loss: 0.2955 212/1102 [====>.........................] - ETA: 4:30 - loss: 267.1158 - logits_profile_predictions_loss: 263.9831 - logcount_predictions_loss: 0.2955 213/1102 [====>.........................] - ETA: 4:30 - loss: 267.1087 - logits_profile_predictions_loss: 263.9756 - logcount_predictions_loss: 0.2956 214/1102 [====>.........................] - ETA: 4:30 - loss: 267.1013 - logits_profile_predictions_loss: 263.9678 - logcount_predictions_loss: 0.2956 215/1102 [====>.........................] - ETA: 4:29 - loss: 267.0945 - logits_profile_predictions_loss: 263.9605 - logcount_predictions_loss: 0.2956 216/1102 [====>.........................] - ETA: 4:29 - loss: 267.0882 - logits_profile_predictions_loss: 263.9539 - logcount_predictions_loss: 0.2957 217/1102 [====>.........................] - ETA: 4:29 - loss: 267.0821 - logits_profile_predictions_loss: 263.9473 - logcount_predictions_loss: 0.2957 218/1102 [====>.........................] - ETA: 4:28 - loss: 267.0760 - logits_profile_predictions_loss: 263.9409 - logcount_predictions_loss: 0.2958 219/1102 [====>.........................] - ETA: 4:28 - loss: 267.0698 - logits_profile_predictions_loss: 263.9343 - logcount_predictions_loss: 0.2958 220/1102 [====>.........................] - ETA: 4:28 - loss: 267.0637 - logits_profile_predictions_loss: 263.9278 - logcount_predictions_loss: 0.2958 221/1102 [=====>........................] - ETA: 4:27 - loss: 267.0577 - logits_profile_predictions_loss: 263.9215 - logcount_predictions_loss: 0.2959 222/1102 [=====>........................] - ETA: 4:27 - loss: 267.0519 - logits_profile_predictions_loss: 263.9152 - logcount_predictions_loss: 0.2959 223/1102 [=====>........................] - ETA: 4:27 - loss: 267.0458 - logits_profile_predictions_loss: 263.9088 - logcount_predictions_loss: 0.2959 224/1102 [=====>........................] - ETA: 4:26 - loss: 267.0399 - logits_profile_predictions_loss: 263.9026 - logcount_predictions_loss: 0.2960 225/1102 [=====>........................] - ETA: 4:26 - loss: 267.0339 - logits_profile_predictions_loss: 263.8963 - logcount_predictions_loss: 0.2960 226/1102 [=====>........................] - ETA: 4:26 - loss: 267.0281 - logits_profile_predictions_loss: 263.8902 - logcount_predictions_loss: 0.2960 227/1102 [=====>........................] - ETA: 4:26 - loss: 267.0223 - logits_profile_predictions_loss: 263.8841 - logcount_predictions_loss: 0.2960 228/1102 [=====>........................] - ETA: 4:25 - loss: 267.0160 - logits_profile_predictions_loss: 263.8775 - logcount_predictions_loss: 0.2961 229/1102 [=====>........................] - ETA: 4:25 - loss: 267.0099 - logits_profile_predictions_loss: 263.8711 - logcount_predictions_loss: 0.2961 230/1102 [=====>........................] - ETA: 4:25 - loss: 267.0040 - logits_profile_predictions_loss: 263.8650 - logcount_predictions_loss: 0.2961 231/1102 [=====>........................] - ETA: 4:24 - loss: 266.9977 - logits_profile_predictions_loss: 263.8584 - logcount_predictions_loss: 0.2962 232/1102 [=====>........................] - ETA: 4:24 - loss: 266.9911 - 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logits_profile_predictions_loss: 262.0228 - logcount_predictions_loss: 0.2954 1093/1102 [============================>.] - ETA: 2s - loss: 265.1536 - logits_profile_predictions_loss: 262.0221 - logcount_predictions_loss: 0.2954 1094/1102 [============================>.] - ETA: 2s - loss: 265.1528 - logits_profile_predictions_loss: 262.0214 - logcount_predictions_loss: 0.2954 1095/1102 [============================>.] - ETA: 2s - loss: 265.1521 - logits_profile_predictions_loss: 262.0207 - logcount_predictions_loss: 0.2954 1096/1102 [============================>.] - ETA: 1s - loss: 265.1513 - logits_profile_predictions_loss: 262.0200 - logcount_predictions_loss: 0.2954 1097/1102 [============================>.] - ETA: 1s - loss: 265.1506 - logits_profile_predictions_loss: 262.0192 - logcount_predictions_loss: 0.2954 1098/1102 [============================>.] - ETA: 1s - loss: 265.1498 - logits_profile_predictions_loss: 262.0185 - logcount_predictions_loss: 0.2954 1099/1102 [============================>.] - ETA: 0s - loss: 265.1490 - logits_profile_predictions_loss: 262.0177 - logcount_predictions_loss: 0.2954 1100/1102 [============================>.] - ETA: 0s - loss: 265.1482 - logits_profile_predictions_loss: 262.0170 - logcount_predictions_loss: 0.2954 1101/1102 [============================>.] - ETA: 0s - loss: 265.1475 - logits_profile_predictions_loss: 262.0162 - logcount_predictions_loss: 0.2954 1102/1102 [==============================] - ETA: 0s - loss: 265.1467 - logits_profile_predictions_loss: 262.0155 - logcount_predictions_loss: 0.2954 1102/1102 [==============================] - 348s 316ms/step - loss: 265.1459 - logits_profile_predictions_loss: 262.0147 - logcount_predictions_loss: 0.2954 - val_loss: 274.7199 - val_logits_profile_predictions_loss: 271.4407 - val_logcount_predictions_loss: 0.3094 + +Epoch 00007: val_loss did not improve from 274.00116 +Epoch 8/50 + 1/1102 [..............................] - ETA: 5:43 - loss: 239.7388 - logits_profile_predictions_loss: 237.4177 - logcount_predictions_loss: 0.2190 2/1102 [..............................] - ETA: 5:33 - loss: 244.1617 - logits_profile_predictions_loss: 241.5046 - logcount_predictions_loss: 0.2507 3/1102 [..............................] - ETA: 5:33 - loss: 246.7800 - logits_profile_predictions_loss: 243.8637 - logcount_predictions_loss: 0.2751 4/1102 [..............................] - ETA: 5:33 - loss: 246.8158 - logits_profile_predictions_loss: 243.8266 - logcount_predictions_loss: 0.2820 5/1102 [..............................] - ETA: 5:32 - loss: 247.4754 - logits_profile_predictions_loss: 244.4780 - logcount_predictions_loss: 0.2828 6/1102 [..............................] - ETA: 5:32 - loss: 248.2191 - logits_profile_predictions_loss: 245.2342 - logcount_predictions_loss: 0.2816 7/1102 [..............................] - ETA: 5:32 - loss: 248.6827 - logits_profile_predictions_loss: 245.6983 - logcount_predictions_loss: 0.2815 8/1102 [..............................] - ETA: 5:32 - loss: 249.4481 - logits_profile_predictions_loss: 246.4647 - logcount_predictions_loss: 0.2815 9/1102 [..............................] - ETA: 5:31 - loss: 250.3293 - logits_profile_predictions_loss: 247.3459 - logcount_predictions_loss: 0.2815 10/1102 [..............................] - ETA: 5:31 - loss: 251.2285 - logits_profile_predictions_loss: 248.2525 - logcount_predictions_loss: 0.2808 11/1102 [..............................] - ETA: 5:31 - loss: 251.9711 - logits_profile_predictions_loss: 248.9945 - logcount_predictions_loss: 0.2808 12/1102 [..............................] - ETA: 5:30 - loss: 252.6936 - logits_profile_predictions_loss: 249.7127 - logcount_predictions_loss: 0.2812 13/1102 [..............................] - ETA: 5:30 - loss: 253.1836 - logits_profile_predictions_loss: 250.1989 - logcount_predictions_loss: 0.2816 14/1102 [..............................] - ETA: 5:30 - loss: 253.7653 - logits_profile_predictions_loss: 250.7775 - logcount_predictions_loss: 0.2819 15/1102 [..............................] - ETA: 5:29 - loss: 254.3384 - logits_profile_predictions_loss: 251.3496 - logcount_predictions_loss: 0.2820 16/1102 [..............................] - ETA: 5:29 - loss: 254.8426 - logits_profile_predictions_loss: 251.8535 - logcount_predictions_loss: 0.2820 17/1102 [..............................] - ETA: 5:29 - loss: 255.2700 - logits_profile_predictions_loss: 252.2806 - logcount_predictions_loss: 0.2820 18/1102 [..............................] - ETA: 5:28 - loss: 255.6045 - logits_profile_predictions_loss: 252.6138 - logcount_predictions_loss: 0.2821 19/1102 [..............................] - ETA: 5:28 - loss: 255.9111 - logits_profile_predictions_loss: 252.9203 - logcount_predictions_loss: 0.2822 20/1102 [..............................] - ETA: 5:28 - loss: 256.2146 - logits_profile_predictions_loss: 253.2240 - logcount_predictions_loss: 0.2821 21/1102 [..............................] - ETA: 5:28 - loss: 256.5223 - logits_profile_predictions_loss: 253.5316 - logcount_predictions_loss: 0.2821 22/1102 [..............................] - ETA: 5:27 - loss: 256.7614 - logits_profile_predictions_loss: 253.7721 - logcount_predictions_loss: 0.2820 23/1102 [..............................] - ETA: 5:27 - loss: 256.9566 - logits_profile_predictions_loss: 253.9677 - logcount_predictions_loss: 0.2820 24/1102 [..............................] - ETA: 5:27 - loss: 257.1217 - logits_profile_predictions_loss: 254.1331 - logcount_predictions_loss: 0.2819 25/1102 [..............................] - ETA: 5:26 - loss: 257.2494 - logits_profile_predictions_loss: 254.2616 - logcount_predictions_loss: 0.2819 26/1102 [..............................] - ETA: 5:26 - loss: 257.4189 - logits_profile_predictions_loss: 254.4317 - logcount_predictions_loss: 0.2818 27/1102 [..............................] - ETA: 5:26 - loss: 257.5956 - logits_profile_predictions_loss: 254.6072 - logcount_predictions_loss: 0.2819 28/1102 [..............................] - ETA: 5:25 - loss: 257.7797 - logits_profile_predictions_loss: 254.7900 - logcount_predictions_loss: 0.2820 29/1102 [..............................] - ETA: 5:25 - loss: 257.9463 - logits_profile_predictions_loss: 254.9570 - logcount_predictions_loss: 0.2820 30/1102 [..............................] - ETA: 5:25 - loss: 258.0446 - logits_profile_predictions_loss: 255.0558 - logcount_predictions_loss: 0.2820 31/1102 [..............................] - ETA: 5:25 - loss: 258.1445 - logits_profile_predictions_loss: 255.1568 - logcount_predictions_loss: 0.2819 32/1102 [..............................] - ETA: 5:24 - loss: 258.2309 - logits_profile_predictions_loss: 255.2441 - logcount_predictions_loss: 0.2818 33/1102 [..............................] - ETA: 5:24 - loss: 258.3170 - logits_profile_predictions_loss: 255.3311 - logcount_predictions_loss: 0.2817 34/1102 [..............................] - ETA: 5:24 - loss: 258.4041 - logits_profile_predictions_loss: 255.4196 - logcount_predictions_loss: 0.2816 35/1102 [..............................] - ETA: 5:23 - loss: 258.4920 - logits_profile_predictions_loss: 255.5090 - logcount_predictions_loss: 0.2814 36/1102 [..............................] - ETA: 5:23 - loss: 258.5733 - logits_profile_predictions_loss: 255.5915 - logcount_predictions_loss: 0.2813 37/1102 [>.............................] - ETA: 5:23 - loss: 258.6379 - logits_profile_predictions_loss: 255.6571 - logcount_predictions_loss: 0.2812 38/1102 [>.............................] - ETA: 5:23 - loss: 258.7007 - logits_profile_predictions_loss: 255.7204 - logcount_predictions_loss: 0.2812 39/1102 [>.............................] - ETA: 5:22 - loss: 258.7543 - logits_profile_predictions_loss: 255.7742 - logcount_predictions_loss: 0.2811 40/1102 [>.............................] - ETA: 5:22 - loss: 258.7917 - logits_profile_predictions_loss: 255.8115 - logcount_predictions_loss: 0.2811 41/1102 [>.............................] - ETA: 5:22 - loss: 258.8397 - logits_profile_predictions_loss: 255.8594 - logcount_predictions_loss: 0.2812 42/1102 [>.............................] - ETA: 5:21 - loss: 258.8741 - logits_profile_predictions_loss: 255.8936 - logcount_predictions_loss: 0.2812 43/1102 [>.............................] - ETA: 5:21 - loss: 258.9209 - logits_profile_predictions_loss: 255.9400 - logcount_predictions_loss: 0.2812 44/1102 [>.............................] - ETA: 5:21 - loss: 258.9636 - logits_profile_predictions_loss: 255.9825 - logcount_predictions_loss: 0.2812 45/1102 [>.............................] - ETA: 5:21 - loss: 258.9994 - logits_profile_predictions_loss: 256.0179 - logcount_predictions_loss: 0.2813 46/1102 [>.............................] - ETA: 5:20 - loss: 259.0311 - logits_profile_predictions_loss: 256.0494 - logcount_predictions_loss: 0.2813 47/1102 [>.............................] - ETA: 5:20 - loss: 259.0654 - logits_profile_predictions_loss: 256.0832 - logcount_predictions_loss: 0.2813 48/1102 [>.............................] - ETA: 5:20 - loss: 259.1017 - logits_profile_predictions_loss: 256.1188 - logcount_predictions_loss: 0.2814 49/1102 [>.............................] - ETA: 5:19 - loss: 259.1449 - logits_profile_predictions_loss: 256.1615 - logcount_predictions_loss: 0.2815 50/1102 [>.............................] - ETA: 5:19 - loss: 259.1819 - logits_profile_predictions_loss: 256.1977 - logcount_predictions_loss: 0.2815 51/1102 [>.............................] - ETA: 5:19 - loss: 259.2274 - logits_profile_predictions_loss: 256.2426 - logcount_predictions_loss: 0.2816 52/1102 [>.............................] - ETA: 5:18 - loss: 259.2730 - logits_profile_predictions_loss: 256.2873 - logcount_predictions_loss: 0.2817 53/1102 [>.............................] - ETA: 5:18 - loss: 259.3159 - logits_profile_predictions_loss: 256.3295 - logcount_predictions_loss: 0.2817 54/1102 [>.............................] - ETA: 5:18 - loss: 259.3488 - logits_profile_predictions_loss: 256.3618 - logcount_predictions_loss: 0.2818 55/1102 [>.............................] - ETA: 5:18 - loss: 259.3833 - logits_profile_predictions_loss: 256.3954 - logcount_predictions_loss: 0.2819 56/1102 [>.............................] - ETA: 5:17 - loss: 259.4094 - logits_profile_predictions_loss: 256.4211 - logcount_predictions_loss: 0.2819 57/1102 [>.............................] - ETA: 5:17 - loss: 259.4364 - logits_profile_predictions_loss: 256.4478 - logcount_predictions_loss: 0.2819 58/1102 [>.............................] - ETA: 5:17 - loss: 259.4589 - logits_profile_predictions_loss: 256.4696 - logcount_predictions_loss: 0.2820 59/1102 [>.............................] - ETA: 5:16 - loss: 259.4814 - logits_profile_predictions_loss: 256.4920 - logcount_predictions_loss: 0.2820 60/1102 [>.............................] - ETA: 5:16 - loss: 259.5091 - logits_profile_predictions_loss: 256.5195 - logcount_predictions_loss: 0.2820 61/1102 [>.............................] - ETA: 5:16 - loss: 259.5362 - logits_profile_predictions_loss: 256.5463 - logcount_predictions_loss: 0.2821 62/1102 [>.............................] - ETA: 5:15 - loss: 259.5613 - logits_profile_predictions_loss: 256.5710 - logcount_predictions_loss: 0.2821 63/1102 [>.............................] - ETA: 5:15 - loss: 259.5848 - logits_profile_predictions_loss: 256.5939 - logcount_predictions_loss: 0.2822 64/1102 [>.............................] - ETA: 5:15 - loss: 259.6070 - logits_profile_predictions_loss: 256.6156 - logcount_predictions_loss: 0.2822 65/1102 [>.............................] - ETA: 5:15 - loss: 259.6290 - logits_profile_predictions_loss: 256.6367 - logcount_predictions_loss: 0.2823 66/1102 [>.............................] - ETA: 5:14 - loss: 259.6481 - logits_profile_predictions_loss: 256.6552 - logcount_predictions_loss: 0.2824 67/1102 [>.............................] - ETA: 5:14 - loss: 259.6714 - logits_profile_predictions_loss: 256.6777 - logcount_predictions_loss: 0.2824 68/1102 [>.............................] - ETA: 5:14 - loss: 259.6972 - logits_profile_predictions_loss: 256.7029 - logcount_predictions_loss: 0.2825 69/1102 [>.............................] - ETA: 5:13 - loss: 259.7245 - logits_profile_predictions_loss: 256.7298 - logcount_predictions_loss: 0.2825 70/1102 [>.............................] - ETA: 5:13 - loss: 259.7504 - logits_profile_predictions_loss: 256.7555 - logcount_predictions_loss: 0.2825 71/1102 [>.............................] - ETA: 5:13 - loss: 259.7795 - logits_profile_predictions_loss: 256.7841 - logcount_predictions_loss: 0.2826 72/1102 [>.............................] - ETA: 5:12 - loss: 259.8121 - logits_profile_predictions_loss: 256.8164 - logcount_predictions_loss: 0.2826 73/1102 [>.............................] - ETA: 5:12 - loss: 259.8467 - logits_profile_predictions_loss: 256.8506 - logcount_predictions_loss: 0.2826 74/1102 [=>............................] - ETA: 5:12 - loss: 259.8819 - logits_profile_predictions_loss: 256.8856 - logcount_predictions_loss: 0.2827 75/1102 [=>............................] - ETA: 5:11 - loss: 259.9142 - logits_profile_predictions_loss: 256.9175 - logcount_predictions_loss: 0.2827 76/1102 [=>............................] - ETA: 5:11 - loss: 259.9479 - logits_profile_predictions_loss: 256.9510 - logcount_predictions_loss: 0.2827 77/1102 [=>............................] - ETA: 5:11 - loss: 259.9780 - logits_profile_predictions_loss: 256.9810 - logcount_predictions_loss: 0.2827 78/1102 [=>............................] - ETA: 5:11 - loss: 260.0039 - logits_profile_predictions_loss: 257.0068 - logcount_predictions_loss: 0.2827 79/1102 [=>............................] - ETA: 5:10 - loss: 260.0340 - logits_profile_predictions_loss: 257.0370 - logcount_predictions_loss: 0.2827 80/1102 [=>............................] - ETA: 5:10 - loss: 260.0653 - logits_profile_predictions_loss: 257.0683 - logcount_predictions_loss: 0.2827 81/1102 [=>............................] - ETA: 5:10 - loss: 260.0929 - logits_profile_predictions_loss: 257.0959 - logcount_predictions_loss: 0.2827 82/1102 [=>............................] - ETA: 5:09 - loss: 260.1194 - logits_profile_predictions_loss: 257.1224 - logcount_predictions_loss: 0.2827 83/1102 [=>............................] - ETA: 5:09 - loss: 260.1451 - logits_profile_predictions_loss: 257.1481 - logcount_predictions_loss: 0.2827 84/1102 [=>............................] - ETA: 5:09 - loss: 260.1706 - logits_profile_predictions_loss: 257.1737 - logcount_predictions_loss: 0.2827 85/1102 [=>............................] - ETA: 5:08 - loss: 260.1954 - logits_profile_predictions_loss: 257.1986 - logcount_predictions_loss: 0.2827 86/1102 [=>............................] - ETA: 5:08 - loss: 260.2197 - logits_profile_predictions_loss: 257.2231 - logcount_predictions_loss: 0.2827 87/1102 [=>............................] - ETA: 5:08 - loss: 260.2454 - logits_profile_predictions_loss: 257.2491 - logcount_predictions_loss: 0.2827 88/1102 [=>............................] - ETA: 5:08 - loss: 260.2716 - logits_profile_predictions_loss: 257.2755 - logcount_predictions_loss: 0.2827 89/1102 [=>............................] - ETA: 5:07 - loss: 260.2987 - logits_profile_predictions_loss: 257.3029 - logcount_predictions_loss: 0.2826 90/1102 [=>............................] - ETA: 5:07 - loss: 260.3278 - logits_profile_predictions_loss: 257.3324 - logcount_predictions_loss: 0.2826 91/1102 [=>............................] - ETA: 5:07 - loss: 260.3589 - logits_profile_predictions_loss: 257.3639 - logcount_predictions_loss: 0.2825 92/1102 [=>............................] - ETA: 5:06 - loss: 260.3894 - logits_profile_predictions_loss: 257.3946 - logcount_predictions_loss: 0.2825 93/1102 [=>............................] - ETA: 5:06 - loss: 260.4203 - logits_profile_predictions_loss: 257.4256 - logcount_predictions_loss: 0.2825 94/1102 [=>............................] - ETA: 5:06 - loss: 260.4520 - logits_profile_predictions_loss: 257.4573 - logcount_predictions_loss: 0.2825 95/1102 [=>............................] - ETA: 5:05 - loss: 260.4804 - logits_profile_predictions_loss: 257.4858 - logcount_predictions_loss: 0.2825 96/1102 [=>............................] - ETA: 5:05 - loss: 260.5069 - logits_profile_predictions_loss: 257.5123 - logcount_predictions_loss: 0.2825 97/1102 [=>............................] - ETA: 5:05 - loss: 260.5305 - logits_profile_predictions_loss: 257.5360 - logcount_predictions_loss: 0.2825 98/1102 [=>............................] - ETA: 5:05 - loss: 260.5560 - logits_profile_predictions_loss: 257.5615 - logcount_predictions_loss: 0.2825 99/1102 [=>............................] - ETA: 5:04 - loss: 260.5823 - logits_profile_predictions_loss: 257.5878 - logcount_predictions_loss: 0.2825 100/1102 [=>............................] - ETA: 5:04 - loss: 260.6121 - logits_profile_predictions_loss: 257.6176 - logcount_predictions_loss: 0.2825 101/1102 [=>............................] - ETA: 5:04 - loss: 260.6398 - logits_profile_predictions_loss: 257.6451 - logcount_predictions_loss: 0.2825 102/1102 [=>............................] - ETA: 5:03 - loss: 260.6689 - logits_profile_predictions_loss: 257.6739 - logcount_predictions_loss: 0.2825 103/1102 [=>............................] - ETA: 5:03 - loss: 260.6989 - logits_profile_predictions_loss: 257.7036 - logcount_predictions_loss: 0.2826 104/1102 [=>............................] - ETA: 5:03 - loss: 260.7275 - logits_profile_predictions_loss: 257.7320 - logcount_predictions_loss: 0.2826 105/1102 [=>............................] - ETA: 5:02 - loss: 260.7553 - logits_profile_predictions_loss: 257.7595 - logcount_predictions_loss: 0.2826 106/1102 [=>............................] - ETA: 5:02 - loss: 260.7839 - logits_profile_predictions_loss: 257.7879 - logcount_predictions_loss: 0.2826 107/1102 [=>............................] - ETA: 5:02 - loss: 260.8110 - logits_profile_predictions_loss: 257.8148 - logcount_predictions_loss: 0.2827 108/1102 [=>............................] - ETA: 5:01 - loss: 260.8365 - logits_profile_predictions_loss: 257.8403 - logcount_predictions_loss: 0.2827 109/1102 [=>............................] - ETA: 5:01 - loss: 260.8619 - logits_profile_predictions_loss: 257.8656 - logcount_predictions_loss: 0.2827 110/1102 [=>............................] - ETA: 5:01 - loss: 260.8869 - logits_profile_predictions_loss: 257.8906 - logcount_predictions_loss: 0.2827 111/1102 [==>...........................] - ETA: 5:01 - loss: 260.9110 - logits_profile_predictions_loss: 257.9146 - logcount_predictions_loss: 0.2827 112/1102 [==>...........................] - ETA: 5:00 - loss: 260.9339 - logits_profile_predictions_loss: 257.9375 - logcount_predictions_loss: 0.2827 113/1102 [==>...........................] - ETA: 5:00 - loss: 260.9557 - logits_profile_predictions_loss: 257.9592 - logcount_predictions_loss: 0.2827 114/1102 [==>...........................] - ETA: 5:00 - loss: 260.9780 - logits_profile_predictions_loss: 257.9813 - logcount_predictions_loss: 0.2827 115/1102 [==>...........................] - ETA: 4:59 - loss: 260.9998 - logits_profile_predictions_loss: 258.0031 - logcount_predictions_loss: 0.2827 116/1102 [==>...........................] - ETA: 4:59 - loss: 261.0203 - logits_profile_predictions_loss: 258.0235 - logcount_predictions_loss: 0.2827 117/1102 [==>...........................] - ETA: 4:59 - loss: 261.0399 - logits_profile_predictions_loss: 258.0430 - logcount_predictions_loss: 0.2827 118/1102 [==>...........................] - ETA: 4:58 - loss: 261.0576 - logits_profile_predictions_loss: 258.0605 - logcount_predictions_loss: 0.2827 119/1102 [==>...........................] - ETA: 4:58 - loss: 261.0756 - logits_profile_predictions_loss: 258.0784 - logcount_predictions_loss: 0.2828 120/1102 [==>...........................] - ETA: 4:58 - loss: 261.0936 - logits_profile_predictions_loss: 258.0962 - logcount_predictions_loss: 0.2828 121/1102 [==>...........................] - ETA: 4:58 - loss: 261.1115 - logits_profile_predictions_loss: 258.1140 - logcount_predictions_loss: 0.2828 122/1102 [==>...........................] - ETA: 4:57 - loss: 261.1307 - logits_profile_predictions_loss: 258.1333 - logcount_predictions_loss: 0.2828 123/1102 [==>...........................] - ETA: 4:57 - loss: 261.1503 - logits_profile_predictions_loss: 258.1527 - logcount_predictions_loss: 0.2828 124/1102 [==>...........................] - ETA: 4:57 - loss: 261.1683 - logits_profile_predictions_loss: 258.1707 - logcount_predictions_loss: 0.2828 125/1102 [==>...........................] - ETA: 4:56 - loss: 261.1861 - logits_profile_predictions_loss: 258.1885 - logcount_predictions_loss: 0.2828 126/1102 [==>...........................] - ETA: 4:56 - loss: 261.2041 - logits_profile_predictions_loss: 258.2065 - logcount_predictions_loss: 0.2828 127/1102 [==>...........................] - ETA: 4:56 - loss: 261.2205 - logits_profile_predictions_loss: 258.2230 - logcount_predictions_loss: 0.2828 128/1102 [==>...........................] - ETA: 4:55 - loss: 261.2364 - logits_profile_predictions_loss: 258.2390 - logcount_predictions_loss: 0.2828 129/1102 [==>...........................] - ETA: 4:55 - loss: 261.2500 - logits_profile_predictions_loss: 258.2528 - logcount_predictions_loss: 0.2828 130/1102 [==>...........................] - ETA: 4:55 - loss: 261.2646 - logits_profile_predictions_loss: 258.2676 - logcount_predictions_loss: 0.2827 131/1102 [==>...........................] - ETA: 4:55 - loss: 261.2781 - logits_profile_predictions_loss: 258.2813 - logcount_predictions_loss: 0.2827 132/1102 [==>...........................] - ETA: 4:54 - loss: 261.2924 - logits_profile_predictions_loss: 258.2958 - logcount_predictions_loss: 0.2827 133/1102 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[====>.........................] - ETA: 4:38 - loss: 261.9082 - logits_profile_predictions_loss: 258.9301 - logcount_predictions_loss: 0.2809 186/1102 [====>.........................] - ETA: 4:38 - loss: 261.9165 - logits_profile_predictions_loss: 258.9387 - logcount_predictions_loss: 0.2809 187/1102 [====>.........................] - ETA: 4:38 - loss: 261.9243 - logits_profile_predictions_loss: 258.9468 - logcount_predictions_loss: 0.2809 188/1102 [====>.........................] - ETA: 4:37 - loss: 261.9326 - logits_profile_predictions_loss: 258.9555 - logcount_predictions_loss: 0.2809 189/1102 [====>.........................] - ETA: 4:37 - loss: 261.9410 - logits_profile_predictions_loss: 258.9643 - logcount_predictions_loss: 0.2808 190/1102 [====>.........................] - ETA: 4:37 - loss: 261.9493 - logits_profile_predictions_loss: 258.9728 - logcount_predictions_loss: 0.2808 191/1102 [====>.........................] - ETA: 4:36 - loss: 261.9574 - 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[====>.........................] - ETA: 4:34 - loss: 262.0192 - logits_profile_predictions_loss: 259.0450 - logcount_predictions_loss: 0.2806 199/1102 [====>.........................] - ETA: 4:34 - loss: 262.0286 - logits_profile_predictions_loss: 259.0546 - logcount_predictions_loss: 0.2806 200/1102 [====>.........................] - ETA: 4:34 - loss: 262.0385 - logits_profile_predictions_loss: 259.0647 - logcount_predictions_loss: 0.2805 201/1102 [====>.........................] - ETA: 4:33 - loss: 262.0480 - logits_profile_predictions_loss: 259.0745 - logcount_predictions_loss: 0.2805 202/1102 [====>.........................] - ETA: 4:33 - loss: 262.0574 - logits_profile_predictions_loss: 259.0840 - logcount_predictions_loss: 0.2805 203/1102 [====>.........................] - ETA: 4:33 - loss: 262.0675 - logits_profile_predictions_loss: 259.0943 - logcount_predictions_loss: 0.2805 204/1102 [====>.........................] - ETA: 4:32 - loss: 262.0770 - 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[====>.........................] - ETA: 4:30 - loss: 262.1469 - logits_profile_predictions_loss: 259.1754 - logcount_predictions_loss: 0.2803 212/1102 [====>.........................] - ETA: 4:30 - loss: 262.1571 - logits_profile_predictions_loss: 259.1858 - logcount_predictions_loss: 0.2803 213/1102 [====>.........................] - ETA: 4:30 - loss: 262.1682 - logits_profile_predictions_loss: 259.1970 - logcount_predictions_loss: 0.2803 214/1102 [====>.........................] - ETA: 4:29 - loss: 262.1793 - logits_profile_predictions_loss: 259.2083 - logcount_predictions_loss: 0.2803 215/1102 [====>.........................] - ETA: 4:29 - loss: 262.1901 - logits_profile_predictions_loss: 259.2192 - logcount_predictions_loss: 0.2803 216/1102 [====>.........................] - ETA: 4:29 - loss: 262.2006 - logits_profile_predictions_loss: 259.2299 - logcount_predictions_loss: 0.2803 217/1102 [====>.........................] - ETA: 4:28 - loss: 262.2109 - 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[=====>........................] - ETA: 4:26 - loss: 262.2799 - logits_profile_predictions_loss: 259.3100 - logcount_predictions_loss: 0.2802 225/1102 [=====>........................] - ETA: 4:26 - loss: 262.2893 - logits_profile_predictions_loss: 259.3195 - logcount_predictions_loss: 0.2802 226/1102 [=====>........................] - ETA: 4:26 - loss: 262.2990 - logits_profile_predictions_loss: 259.3292 - logcount_predictions_loss: 0.2802 227/1102 [=====>........................] - ETA: 4:25 - loss: 262.3085 - logits_profile_predictions_loss: 259.3386 - logcount_predictions_loss: 0.2802 228/1102 [=====>........................] - ETA: 4:25 - loss: 262.3181 - logits_profile_predictions_loss: 259.3481 - logcount_predictions_loss: 0.2802 229/1102 [=====>........................] - ETA: 4:25 - loss: 262.3272 - logits_profile_predictions_loss: 259.3571 - logcount_predictions_loss: 0.2802 230/1102 [=====>........................] - ETA: 4:25 - loss: 262.3360 - 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[=====>........................] - ETA: 4:22 - loss: 262.3957 - logits_profile_predictions_loss: 259.4248 - logcount_predictions_loss: 0.2803 238/1102 [=====>........................] - ETA: 4:22 - loss: 262.4039 - logits_profile_predictions_loss: 259.4328 - logcount_predictions_loss: 0.2803 239/1102 [=====>........................] - ETA: 4:22 - loss: 262.4116 - logits_profile_predictions_loss: 259.4404 - logcount_predictions_loss: 0.2803 240/1102 [=====>........................] - ETA: 4:22 - loss: 262.4191 - logits_profile_predictions_loss: 259.4476 - logcount_predictions_loss: 0.2803 241/1102 [=====>........................] - ETA: 4:21 - loss: 262.4263 - logits_profile_predictions_loss: 259.4548 - logcount_predictions_loss: 0.2803 242/1102 [=====>........................] - ETA: 4:21 - loss: 262.4337 - logits_profile_predictions_loss: 259.4619 - logcount_predictions_loss: 0.2804 243/1102 [=====>........................] - ETA: 4:21 - loss: 262.4409 - logits_profile_predictions_loss: 259.4690 - logcount_predictions_loss: 0.2804 244/1102 [=====>........................] - ETA: 4:20 - loss: 262.4481 - logits_profile_predictions_loss: 259.4760 - logcount_predictions_loss: 0.2804 245/1102 [=====>........................] - ETA: 4:20 - loss: 262.4553 - logits_profile_predictions_loss: 259.4831 - logcount_predictions_loss: 0.2804 246/1102 [=====>........................] - ETA: 4:20 - loss: 262.4625 - logits_profile_predictions_loss: 259.4901 - logcount_predictions_loss: 0.2804 247/1102 [=====>........................] - ETA: 4:19 - loss: 262.4700 - logits_profile_predictions_loss: 259.4974 - logcount_predictions_loss: 0.2804 248/1102 [=====>........................] - ETA: 4:19 - loss: 262.4776 - logits_profile_predictions_loss: 259.5048 - logcount_predictions_loss: 0.2805 249/1102 [=====>........................] - ETA: 4:19 - loss: 262.4849 - logits_profile_predictions_loss: 259.5119 - logcount_predictions_loss: 0.2805 250/1102 [=====>........................] - ETA: 4:18 - loss: 262.4920 - logits_profile_predictions_loss: 259.5189 - logcount_predictions_loss: 0.2805 251/1102 [=====>........................] - ETA: 4:18 - loss: 262.4995 - logits_profile_predictions_loss: 259.5261 - logcount_predictions_loss: 0.2805 252/1102 [=====>........................] - ETA: 4:18 - loss: 262.5069 - logits_profile_predictions_loss: 259.5334 - logcount_predictions_loss: 0.2805 253/1102 [=====>........................] - ETA: 4:18 - loss: 262.5144 - logits_profile_predictions_loss: 259.5407 - logcount_predictions_loss: 0.2805 254/1102 [=====>........................] - ETA: 4:17 - loss: 262.5220 - logits_profile_predictions_loss: 259.5481 - logcount_predictions_loss: 0.2806 255/1102 [=====>........................] - ETA: 4:17 - loss: 262.5295 - logits_profile_predictions_loss: 259.5554 - logcount_predictions_loss: 0.2806 256/1102 [=====>........................] - ETA: 4:17 - loss: 262.5369 - 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[============================>.] - ETA: 1s - loss: 263.1773 - logits_profile_predictions_loss: 260.2246 - logcount_predictions_loss: 0.2786 1098/1102 [============================>.] - ETA: 1s - loss: 263.1772 - logits_profile_predictions_loss: 260.2246 - logcount_predictions_loss: 0.2786 1099/1102 [============================>.] - ETA: 0s - loss: 263.1772 - logits_profile_predictions_loss: 260.2246 - logcount_predictions_loss: 0.2786 1100/1102 [============================>.] - ETA: 0s - loss: 263.1771 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 1101/1102 [============================>.] - ETA: 0s - loss: 263.1771 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 1102/1102 [==============================] - ETA: 0s - loss: 263.1771 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 1102/1102 [==============================] - 348s 315ms/step - loss: 263.1770 - logits_profile_predictions_loss: 260.2245 - logcount_predictions_loss: 0.2786 - val_loss: 275.0938 - val_logits_profile_predictions_loss: 271.8298 - val_logcount_predictions_loss: 0.3079 + +Epoch 00008: val_loss did not improve from 274.00116 +Epoch 9/50 + 1/1102 [..............................] - ETA: 5:47 - loss: 262.7162 - logits_profile_predictions_loss: 260.3890 - logcount_predictions_loss: 0.2196 2/1102 [..............................] - ETA: 5:33 - loss: 263.6488 - logits_profile_predictions_loss: 261.4400 - logcount_predictions_loss: 0.2084 3/1102 [..............................] - ETA: 5:33 - loss: 264.0954 - logits_profile_predictions_loss: 261.8752 - logcount_predictions_loss: 0.2095 4/1102 [..............................] - ETA: 5:33 - loss: 263.0797 - logits_profile_predictions_loss: 260.7783 - logcount_predictions_loss: 0.2171 5/1102 [..............................] - ETA: 5:33 - loss: 262.0712 - logits_profile_predictions_loss: 259.7058 - logcount_predictions_loss: 0.2232 6/1102 [..............................] - ETA: 5:32 - loss: 262.4552 - logits_profile_predictions_loss: 259.9781 - logcount_predictions_loss: 0.2337 7/1102 [..............................] - ETA: 5:32 - loss: 263.2836 - logits_profile_predictions_loss: 260.7394 - logcount_predictions_loss: 0.2400 8/1102 [..............................] - ETA: 5:32 - loss: 263.5924 - logits_profile_predictions_loss: 261.0091 - logcount_predictions_loss: 0.2437 9/1102 [..............................] - ETA: 5:31 - loss: 263.5836 - logits_profile_predictions_loss: 260.9703 - logcount_predictions_loss: 0.2465 10/1102 [..............................] - ETA: 5:31 - loss: 263.3839 - logits_profile_predictions_loss: 260.7562 - logcount_predictions_loss: 0.2479 11/1102 [..............................] - ETA: 5:31 - loss: 263.2321 - logits_profile_predictions_loss: 260.5908 - logcount_predictions_loss: 0.2492 12/1102 [..............................] - ETA: 5:31 - loss: 263.0177 - logits_profile_predictions_loss: 260.3701 - logcount_predictions_loss: 0.2498 13/1102 [..............................] - ETA: 5:30 - loss: 262.7975 - logits_profile_predictions_loss: 260.1475 - logcount_predictions_loss: 0.2500 14/1102 [..............................] - ETA: 5:30 - loss: 262.7941 - logits_profile_predictions_loss: 260.1419 - logcount_predictions_loss: 0.2502 15/1102 [..............................] - ETA: 5:30 - loss: 262.8543 - logits_profile_predictions_loss: 260.2039 - logcount_predictions_loss: 0.2500 16/1102 [..............................] - ETA: 5:29 - loss: 262.7995 - logits_profile_predictions_loss: 260.1506 - logcount_predictions_loss: 0.2499 17/1102 [..............................] - ETA: 5:29 - loss: 262.7802 - logits_profile_predictions_loss: 260.1348 - logcount_predictions_loss: 0.2496 18/1102 [..............................] - ETA: 5:29 - loss: 262.7786 - logits_profile_predictions_loss: 260.1337 - logcount_predictions_loss: 0.2495 19/1102 [..............................] - ETA: 5:28 - loss: 262.7883 - logits_profile_predictions_loss: 260.1442 - logcount_predictions_loss: 0.2494 20/1102 [..............................] - ETA: 5:28 - loss: 262.8038 - logits_profile_predictions_loss: 260.1606 - logcount_predictions_loss: 0.2493 21/1102 [..............................] - ETA: 5:28 - loss: 262.8306 - logits_profile_predictions_loss: 260.1867 - logcount_predictions_loss: 0.2494 22/1102 [..............................] - ETA: 5:28 - loss: 262.8509 - logits_profile_predictions_loss: 260.2075 - logcount_predictions_loss: 0.2494 23/1102 [..............................] - ETA: 5:27 - loss: 262.8540 - logits_profile_predictions_loss: 260.2093 - logcount_predictions_loss: 0.2495 24/1102 [..............................] - ETA: 5:27 - loss: 262.8769 - logits_profile_predictions_loss: 260.2310 - logcount_predictions_loss: 0.2496 25/1102 [..............................] - ETA: 5:27 - loss: 262.8921 - logits_profile_predictions_loss: 260.2424 - logcount_predictions_loss: 0.2500 26/1102 [..............................] - ETA: 5:26 - loss: 262.9227 - logits_profile_predictions_loss: 260.2693 - logcount_predictions_loss: 0.2503 27/1102 [..............................] - ETA: 5:26 - loss: 262.9569 - logits_profile_predictions_loss: 260.3000 - logcount_predictions_loss: 0.2507 28/1102 [..............................] - ETA: 5:26 - loss: 263.0069 - logits_profile_predictions_loss: 260.3449 - logcount_predictions_loss: 0.2511 29/1102 [..............................] - ETA: 5:25 - loss: 263.0632 - logits_profile_predictions_loss: 260.3953 - logcount_predictions_loss: 0.2517 30/1102 [..............................] - ETA: 5:25 - loss: 263.1146 - logits_profile_predictions_loss: 260.4411 - logcount_predictions_loss: 0.2522 31/1102 [..............................] - ETA: 5:25 - loss: 263.1650 - logits_profile_predictions_loss: 260.4851 - logcount_predictions_loss: 0.2528 32/1102 [..............................] - ETA: 5:25 - loss: 263.2195 - logits_profile_predictions_loss: 260.5324 - logcount_predictions_loss: 0.2535 33/1102 [..............................] - ETA: 5:24 - loss: 263.2502 - logits_profile_predictions_loss: 260.5564 - logcount_predictions_loss: 0.2541 34/1102 [..............................] - ETA: 5:24 - loss: 263.3013 - logits_profile_predictions_loss: 260.5981 - logcount_predictions_loss: 0.2550 35/1102 [..............................] - ETA: 5:24 - loss: 263.3571 - logits_profile_predictions_loss: 260.6438 - logcount_predictions_loss: 0.2560 36/1102 [..............................] - ETA: 5:23 - loss: 263.4215 - logits_profile_predictions_loss: 260.6991 - logcount_predictions_loss: 0.2568 37/1102 [>.............................] - ETA: 5:23 - loss: 263.4934 - logits_profile_predictions_loss: 260.7625 - logcount_predictions_loss: 0.2576 38/1102 [>.............................] - ETA: 5:23 - loss: 263.5549 - logits_profile_predictions_loss: 260.8155 - logcount_predictions_loss: 0.2584 39/1102 [>.............................] - ETA: 5:23 - loss: 263.6106 - logits_profile_predictions_loss: 260.8637 - logcount_predictions_loss: 0.2591 40/1102 [>.............................] - ETA: 5:22 - loss: 263.6622 - logits_profile_predictions_loss: 260.9081 - logcount_predictions_loss: 0.2598 41/1102 [>.............................] - ETA: 5:22 - loss: 263.6877 - logits_profile_predictions_loss: 260.9268 - logcount_predictions_loss: 0.2605 42/1102 [>.............................] - ETA: 5:22 - loss: 263.7071 - logits_profile_predictions_loss: 260.9401 - logcount_predictions_loss: 0.2610 43/1102 [>.............................] - ETA: 5:21 - loss: 263.7210 - logits_profile_predictions_loss: 260.9480 - logcount_predictions_loss: 0.2616 44/1102 [>.............................] - ETA: 5:21 - loss: 263.7209 - logits_profile_predictions_loss: 260.9428 - logcount_predictions_loss: 0.2621 45/1102 [>.............................] - ETA: 5:21 - loss: 263.7247 - logits_profile_predictions_loss: 260.9417 - logcount_predictions_loss: 0.2626 46/1102 [>.............................] - ETA: 5:20 - loss: 263.7184 - logits_profile_predictions_loss: 260.9312 - logcount_predictions_loss: 0.2629 47/1102 [>.............................] - ETA: 5:20 - loss: 263.7109 - logits_profile_predictions_loss: 260.9197 - logcount_predictions_loss: 0.2633 48/1102 [>.............................] - ETA: 5:20 - loss: 263.6844 - logits_profile_predictions_loss: 260.8896 - logcount_predictions_loss: 0.2637 49/1102 [>.............................] - ETA: 5:20 - loss: 263.6601 - logits_profile_predictions_loss: 260.8617 - logcount_predictions_loss: 0.2640 50/1102 [>.............................] - ETA: 5:19 - loss: 263.6354 - logits_profile_predictions_loss: 260.8337 - logcount_predictions_loss: 0.2643 51/1102 [>.............................] - ETA: 5:19 - loss: 263.6039 - logits_profile_predictions_loss: 260.7993 - logcount_predictions_loss: 0.2646 52/1102 [>.............................] - ETA: 5:19 - loss: 263.5692 - logits_profile_predictions_loss: 260.7618 - logcount_predictions_loss: 0.2649 53/1102 [>.............................] - ETA: 5:18 - loss: 263.5391 - logits_profile_predictions_loss: 260.7289 - logcount_predictions_loss: 0.2651 54/1102 [>.............................] - ETA: 5:18 - loss: 263.5016 - logits_profile_predictions_loss: 260.6892 - logcount_predictions_loss: 0.2653 55/1102 [>.............................] - ETA: 5:18 - loss: 263.4700 - logits_profile_predictions_loss: 260.6553 - logcount_predictions_loss: 0.2655 56/1102 [>.............................] - ETA: 5:17 - loss: 263.4394 - logits_profile_predictions_loss: 260.6227 - logcount_predictions_loss: 0.2657 57/1102 [>.............................] - ETA: 5:17 - loss: 263.4119 - logits_profile_predictions_loss: 260.5931 - logcount_predictions_loss: 0.2659 58/1102 [>.............................] - ETA: 5:17 - loss: 263.3867 - logits_profile_predictions_loss: 260.5662 - logcount_predictions_loss: 0.2661 59/1102 [>.............................] - ETA: 5:16 - loss: 263.3717 - logits_profile_predictions_loss: 260.5497 - logcount_predictions_loss: 0.2662 60/1102 [>.............................] - ETA: 5:16 - loss: 263.3661 - logits_profile_predictions_loss: 260.5429 - logcount_predictions_loss: 0.2663 61/1102 [>.............................] - ETA: 5:16 - loss: 263.3623 - logits_profile_predictions_loss: 260.5377 - logcount_predictions_loss: 0.2665 62/1102 [>.............................] - ETA: 5:16 - loss: 263.3646 - logits_profile_predictions_loss: 260.5388 - logcount_predictions_loss: 0.2666 63/1102 [>.............................] - ETA: 5:15 - loss: 263.3639 - logits_profile_predictions_loss: 260.5368 - logcount_predictions_loss: 0.2667 64/1102 [>.............................] - ETA: 5:15 - loss: 263.3610 - logits_profile_predictions_loss: 260.5325 - logcount_predictions_loss: 0.2668 65/1102 [>.............................] - ETA: 5:15 - loss: 263.3606 - logits_profile_predictions_loss: 260.5309 - logcount_predictions_loss: 0.2670 66/1102 [>.............................] - ETA: 5:14 - loss: 263.3595 - logits_profile_predictions_loss: 260.5284 - logcount_predictions_loss: 0.2671 67/1102 [>.............................] - ETA: 5:14 - loss: 263.3553 - logits_profile_predictions_loss: 260.5231 - logcount_predictions_loss: 0.2672 68/1102 [>.............................] - ETA: 5:14 - loss: 263.3484 - logits_profile_predictions_loss: 260.5151 - logcount_predictions_loss: 0.2673 69/1102 [>.............................] - ETA: 5:13 - loss: 263.3443 - logits_profile_predictions_loss: 260.5100 - logcount_predictions_loss: 0.2674 70/1102 [>.............................] - ETA: 5:13 - loss: 263.3391 - logits_profile_predictions_loss: 260.5040 - logcount_predictions_loss: 0.2675 71/1102 [>.............................] - ETA: 5:13 - loss: 263.3328 - logits_profile_predictions_loss: 260.4972 - logcount_predictions_loss: 0.2675 72/1102 [>.............................] - ETA: 5:13 - loss: 263.3294 - logits_profile_predictions_loss: 260.4933 - logcount_predictions_loss: 0.2676 73/1102 [>.............................] - ETA: 5:12 - loss: 263.3247 - logits_profile_predictions_loss: 260.4881 - logcount_predictions_loss: 0.2676 74/1102 [=>............................] - ETA: 5:12 - loss: 263.3223 - logits_profile_predictions_loss: 260.4853 - logcount_predictions_loss: 0.2676 75/1102 [=>............................] - ETA: 5:12 - loss: 263.3211 - logits_profile_predictions_loss: 260.4836 - logcount_predictions_loss: 0.2677 76/1102 [=>............................] - ETA: 5:11 - loss: 263.3212 - logits_profile_predictions_loss: 260.4835 - logcount_predictions_loss: 0.2677 77/1102 [=>............................] - ETA: 5:11 - loss: 263.3219 - logits_profile_predictions_loss: 260.4838 - logcount_predictions_loss: 0.2677 78/1102 [=>............................] - ETA: 5:11 - loss: 263.3229 - logits_profile_predictions_loss: 260.4844 - logcount_predictions_loss: 0.2678 79/1102 [=>............................] - ETA: 5:10 - loss: 263.3230 - logits_profile_predictions_loss: 260.4842 - logcount_predictions_loss: 0.2678 80/1102 [=>............................] - ETA: 5:10 - loss: 263.3232 - logits_profile_predictions_loss: 260.4840 - logcount_predictions_loss: 0.2678 81/1102 [=>............................] - ETA: 5:10 - loss: 263.3208 - logits_profile_predictions_loss: 260.4813 - logcount_predictions_loss: 0.2679 82/1102 [=>............................] - ETA: 5:10 - loss: 263.3152 - logits_profile_predictions_loss: 260.4753 - logcount_predictions_loss: 0.2679 83/1102 [=>............................] - ETA: 5:09 - loss: 263.3088 - logits_profile_predictions_loss: 260.4685 - logcount_predictions_loss: 0.2680 84/1102 [=>............................] - ETA: 5:09 - loss: 263.3044 - logits_profile_predictions_loss: 260.4636 - logcount_predictions_loss: 0.2680 85/1102 [=>............................] - ETA: 5:09 - loss: 263.3034 - logits_profile_predictions_loss: 260.4621 - logcount_predictions_loss: 0.2680 86/1102 [=>............................] - ETA: 5:08 - loss: 263.3040 - logits_profile_predictions_loss: 260.4621 - logcount_predictions_loss: 0.2681 87/1102 [=>............................] - ETA: 5:08 - loss: 263.3066 - logits_profile_predictions_loss: 260.4642 - logcount_predictions_loss: 0.2682 88/1102 [=>............................] - ETA: 5:08 - loss: 263.3070 - logits_profile_predictions_loss: 260.4641 - logcount_predictions_loss: 0.2682 89/1102 [=>............................] - ETA: 5:07 - loss: 263.3066 - logits_profile_predictions_loss: 260.4633 - logcount_predictions_loss: 0.2682 90/1102 [=>............................] - ETA: 5:07 - loss: 263.3036 - logits_profile_predictions_loss: 260.4599 - logcount_predictions_loss: 0.2683 91/1102 [=>............................] - ETA: 5:07 - loss: 263.3031 - logits_profile_predictions_loss: 260.4589 - logcount_predictions_loss: 0.2683 92/1102 [=>............................] - ETA: 5:07 - loss: 263.3026 - logits_profile_predictions_loss: 260.4579 - logcount_predictions_loss: 0.2684 93/1102 [=>............................] - ETA: 5:06 - loss: 263.2998 - logits_profile_predictions_loss: 260.4547 - logcount_predictions_loss: 0.2684 94/1102 [=>............................] - ETA: 5:06 - loss: 263.2986 - logits_profile_predictions_loss: 260.4531 - logcount_predictions_loss: 0.2684 95/1102 [=>............................] - ETA: 5:06 - loss: 263.2962 - logits_profile_predictions_loss: 260.4504 - logcount_predictions_loss: 0.2685 96/1102 [=>............................] - ETA: 5:05 - loss: 263.2951 - logits_profile_predictions_loss: 260.4490 - logcount_predictions_loss: 0.2685 97/1102 [=>............................] - ETA: 5:05 - loss: 263.2942 - logits_profile_predictions_loss: 260.4477 - logcount_predictions_loss: 0.2685 98/1102 [=>............................] - ETA: 5:05 - loss: 263.2896 - logits_profile_predictions_loss: 260.4427 - logcount_predictions_loss: 0.2686 99/1102 [=>............................] - ETA: 5:04 - loss: 263.2856 - logits_profile_predictions_loss: 260.4385 - logcount_predictions_loss: 0.2686 100/1102 [=>............................] - ETA: 5:04 - loss: 263.2798 - logits_profile_predictions_loss: 260.4324 - logcount_predictions_loss: 0.2686 101/1102 [=>............................] - ETA: 5:04 - loss: 263.2736 - logits_profile_predictions_loss: 260.4260 - logcount_predictions_loss: 0.2686 102/1102 [=>............................] - ETA: 5:03 - loss: 263.2669 - logits_profile_predictions_loss: 260.4191 - logcount_predictions_loss: 0.2687 103/1102 [=>............................] - ETA: 5:03 - loss: 263.2615 - logits_profile_predictions_loss: 260.4135 - logcount_predictions_loss: 0.2687 104/1102 [=>............................] - ETA: 5:03 - loss: 263.2550 - logits_profile_predictions_loss: 260.4068 - logcount_predictions_loss: 0.2687 105/1102 [=>............................] - ETA: 5:03 - loss: 263.2470 - logits_profile_predictions_loss: 260.3986 - logcount_predictions_loss: 0.2687 106/1102 [=>............................] - ETA: 5:02 - loss: 263.2412 - logits_profile_predictions_loss: 260.3926 - logcount_predictions_loss: 0.2687 107/1102 [=>............................] - ETA: 5:02 - loss: 263.2356 - logits_profile_predictions_loss: 260.3868 - logcount_predictions_loss: 0.2688 108/1102 [=>............................] - ETA: 5:02 - loss: 263.2306 - logits_profile_predictions_loss: 260.3818 - logcount_predictions_loss: 0.2688 109/1102 [=>............................] - ETA: 5:01 - loss: 263.2244 - logits_profile_predictions_loss: 260.3756 - logcount_predictions_loss: 0.2688 110/1102 [=>............................] - ETA: 5:01 - loss: 263.2187 - logits_profile_predictions_loss: 260.3699 - logcount_predictions_loss: 0.2688 111/1102 [==>...........................] - ETA: 5:01 - loss: 263.2110 - logits_profile_predictions_loss: 260.3622 - logcount_predictions_loss: 0.2688 112/1102 [==>...........................] - ETA: 5:00 - loss: 263.2039 - logits_profile_predictions_loss: 260.3552 - logcount_predictions_loss: 0.2687 113/1102 [==>...........................] - ETA: 5:00 - loss: 263.1953 - logits_profile_predictions_loss: 260.3466 - logcount_predictions_loss: 0.2687 114/1102 [==>...........................] - ETA: 5:00 - loss: 263.1859 - logits_profile_predictions_loss: 260.3373 - logcount_predictions_loss: 0.2687 115/1102 [==>...........................] - ETA: 5:00 - loss: 263.1764 - logits_profile_predictions_loss: 260.3278 - logcount_predictions_loss: 0.2687 116/1102 [==>...........................] - ETA: 4:59 - loss: 263.1677 - logits_profile_predictions_loss: 260.3192 - logcount_predictions_loss: 0.2687 117/1102 [==>...........................] - ETA: 4:59 - loss: 263.1608 - logits_profile_predictions_loss: 260.3124 - logcount_predictions_loss: 0.2687 118/1102 [==>...........................] - ETA: 4:59 - loss: 263.1558 - logits_profile_predictions_loss: 260.3075 - logcount_predictions_loss: 0.2687 119/1102 [==>...........................] - ETA: 4:58 - loss: 263.1508 - logits_profile_predictions_loss: 260.3027 - logcount_predictions_loss: 0.2687 120/1102 [==>...........................] - ETA: 4:58 - loss: 263.1467 - logits_profile_predictions_loss: 260.2988 - logcount_predictions_loss: 0.2687 121/1102 [==>...........................] - ETA: 4:58 - loss: 263.1435 - logits_profile_predictions_loss: 260.2957 - logcount_predictions_loss: 0.2687 122/1102 [==>...........................] - ETA: 4:57 - loss: 263.1405 - logits_profile_predictions_loss: 260.2928 - logcount_predictions_loss: 0.2686 123/1102 [==>...........................] - ETA: 4:57 - loss: 263.1358 - logits_profile_predictions_loss: 260.2883 - logcount_predictions_loss: 0.2686 124/1102 [==>...........................] - ETA: 4:57 - loss: 263.1317 - logits_profile_predictions_loss: 260.2844 - logcount_predictions_loss: 0.2686 125/1102 [==>...........................] - ETA: 4:57 - loss: 263.1268 - logits_profile_predictions_loss: 260.2797 - logcount_predictions_loss: 0.2686 126/1102 [==>...........................] - ETA: 4:56 - loss: 263.1223 - logits_profile_predictions_loss: 260.2754 - logcount_predictions_loss: 0.2686 127/1102 [==>...........................] - ETA: 4:56 - loss: 263.1193 - logits_profile_predictions_loss: 260.2727 - logcount_predictions_loss: 0.2686 128/1102 [==>...........................] - ETA: 4:56 - loss: 263.1167 - logits_profile_predictions_loss: 260.2703 - logcount_predictions_loss: 0.2685 129/1102 [==>...........................] - ETA: 4:55 - loss: 263.1149 - logits_profile_predictions_loss: 260.2687 - logcount_predictions_loss: 0.2685 130/1102 [==>...........................] - ETA: 4:55 - loss: 263.1119 - logits_profile_predictions_loss: 260.2659 - logcount_predictions_loss: 0.2685 131/1102 [==>...........................] - ETA: 4:55 - loss: 263.1098 - logits_profile_predictions_loss: 260.2641 - logcount_predictions_loss: 0.2685 132/1102 [==>...........................] - ETA: 4:54 - loss: 263.1077 - logits_profile_predictions_loss: 260.2621 - logcount_predictions_loss: 0.2685 133/1102 [==>...........................] - ETA: 4:54 - loss: 263.1057 - logits_profile_predictions_loss: 260.2602 - logcount_predictions_loss: 0.2684 134/1102 [==>...........................] - ETA: 4:54 - loss: 263.1037 - logits_profile_predictions_loss: 260.2584 - logcount_predictions_loss: 0.2684 135/1102 [==>...........................] - ETA: 4:53 - loss: 263.1019 - logits_profile_predictions_loss: 260.2568 - logcount_predictions_loss: 0.2684 136/1102 [==>...........................] - ETA: 4:53 - loss: 263.1004 - logits_profile_predictions_loss: 260.2554 - logcount_predictions_loss: 0.2684 137/1102 [==>...........................] - ETA: 4:53 - loss: 263.0982 - logits_profile_predictions_loss: 260.2534 - logcount_predictions_loss: 0.2684 138/1102 [==>...........................] - ETA: 4:53 - loss: 263.0956 - logits_profile_predictions_loss: 260.2509 - logcount_predictions_loss: 0.2684 139/1102 [==>...........................] - ETA: 4:52 - loss: 263.0935 - logits_profile_predictions_loss: 260.2490 - logcount_predictions_loss: 0.2683 140/1102 [==>...........................] - ETA: 4:52 - loss: 263.0890 - logits_profile_predictions_loss: 260.2447 - logcount_predictions_loss: 0.2683 141/1102 [==>...........................] - ETA: 4:52 - loss: 263.0862 - logits_profile_predictions_loss: 260.2421 - logcount_predictions_loss: 0.2683 142/1102 [==>...........................] - ETA: 4:51 - loss: 263.0823 - logits_profile_predictions_loss: 260.2383 - logcount_predictions_loss: 0.2683 143/1102 [==>...........................] - ETA: 4:51 - loss: 263.0781 - logits_profile_predictions_loss: 260.2344 - logcount_predictions_loss: 0.2683 144/1102 [==>...........................] - ETA: 4:51 - loss: 263.0741 - logits_profile_predictions_loss: 260.2305 - logcount_predictions_loss: 0.2683 145/1102 [==>...........................] - ETA: 4:50 - loss: 263.0707 - logits_profile_predictions_loss: 260.2274 - logcount_predictions_loss: 0.2682 146/1102 [==>...........................] - ETA: 4:50 - loss: 263.0655 - logits_profile_predictions_loss: 260.2223 - logcount_predictions_loss: 0.2682 147/1102 [===>..........................] - ETA: 4:50 - loss: 263.0614 - logits_profile_predictions_loss: 260.2183 - logcount_predictions_loss: 0.2682 148/1102 [===>..........................] - ETA: 4:50 - loss: 263.0577 - logits_profile_predictions_loss: 260.2148 - logcount_predictions_loss: 0.2682 149/1102 [===>..........................] - ETA: 4:49 - loss: 263.0541 - logits_profile_predictions_loss: 260.2114 - logcount_predictions_loss: 0.2682 150/1102 [===>..........................] - ETA: 4:49 - loss: 263.0509 - logits_profile_predictions_loss: 260.2083 - logcount_predictions_loss: 0.2682 151/1102 [===>..........................] - ETA: 4:49 - loss: 263.0492 - logits_profile_predictions_loss: 260.2067 - logcount_predictions_loss: 0.2682 152/1102 [===>..........................] - ETA: 4:48 - loss: 263.0467 - logits_profile_predictions_loss: 260.2043 - logcount_predictions_loss: 0.2682 153/1102 [===>..........................] - ETA: 4:48 - loss: 263.0443 - logits_profile_predictions_loss: 260.2021 - logcount_predictions_loss: 0.2681 154/1102 [===>..........................] - ETA: 4:48 - loss: 263.0404 - logits_profile_predictions_loss: 260.1983 - logcount_predictions_loss: 0.2681 155/1102 [===>..........................] - ETA: 4:47 - loss: 263.0374 - logits_profile_predictions_loss: 260.1954 - logcount_predictions_loss: 0.2681 156/1102 [===>..........................] - ETA: 4:47 - loss: 263.0342 - logits_profile_predictions_loss: 260.1922 - logcount_predictions_loss: 0.2681 157/1102 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[=====>........................] - ETA: 4:27 - loss: 262.8359 - logits_profile_predictions_loss: 259.9999 - logcount_predictions_loss: 0.2676 223/1102 [=====>........................] - ETA: 4:27 - loss: 262.8330 - logits_profile_predictions_loss: 259.9972 - logcount_predictions_loss: 0.2675 224/1102 [=====>........................] - ETA: 4:26 - loss: 262.8304 - logits_profile_predictions_loss: 259.9947 - logcount_predictions_loss: 0.2675 225/1102 [=====>........................] - ETA: 4:26 - loss: 262.8282 - logits_profile_predictions_loss: 259.9927 - logcount_predictions_loss: 0.2675 226/1102 [=====>........................] - ETA: 4:26 - loss: 262.8263 - logits_profile_predictions_loss: 259.9911 - logcount_predictions_loss: 0.2675 227/1102 [=====>........................] - ETA: 4:26 - loss: 262.8241 - logits_profile_predictions_loss: 259.9891 - logcount_predictions_loss: 0.2675 228/1102 [=====>........................] - ETA: 4:25 - loss: 262.8219 - logits_profile_predictions_loss: 259.9872 - logcount_predictions_loss: 0.2674 229/1102 [=====>........................] - ETA: 4:25 - loss: 262.8202 - logits_profile_predictions_loss: 259.9857 - logcount_predictions_loss: 0.2674 230/1102 [=====>........................] - ETA: 4:25 - loss: 262.8184 - logits_profile_predictions_loss: 259.9841 - logcount_predictions_loss: 0.2674 231/1102 [=====>........................] - ETA: 4:24 - loss: 262.8167 - logits_profile_predictions_loss: 259.9827 - logcount_predictions_loss: 0.2674 232/1102 [=====>........................] - ETA: 4:24 - loss: 262.8153 - logits_profile_predictions_loss: 259.9816 - logcount_predictions_loss: 0.2673 233/1102 [=====>........................] - ETA: 4:24 - loss: 262.8137 - logits_profile_predictions_loss: 259.9801 - logcount_predictions_loss: 0.2673 234/1102 [=====>........................] - ETA: 4:23 - loss: 262.8121 - logits_profile_predictions_loss: 259.9788 - logcount_predictions_loss: 0.2673 235/1102 [=====>........................] - ETA: 4:23 - loss: 262.8100 - logits_profile_predictions_loss: 259.9770 - logcount_predictions_loss: 0.2673 236/1102 [=====>........................] - ETA: 4:23 - loss: 262.8079 - logits_profile_predictions_loss: 259.9751 - logcount_predictions_loss: 0.2672 237/1102 [=====>........................] - ETA: 4:23 - loss: 262.8056 - logits_profile_predictions_loss: 259.9730 - logcount_predictions_loss: 0.2672 238/1102 [=====>........................] - ETA: 4:22 - loss: 262.8030 - logits_profile_predictions_loss: 259.9707 - logcount_predictions_loss: 0.2672 239/1102 [=====>........................] - ETA: 4:22 - loss: 262.8000 - logits_profile_predictions_loss: 259.9680 - logcount_predictions_loss: 0.2672 240/1102 [=====>........................] - ETA: 4:22 - loss: 262.7965 - logits_profile_predictions_loss: 259.9647 - logcount_predictions_loss: 0.2671 241/1102 [=====>........................] - ETA: 4:21 - loss: 262.7936 - logits_profile_predictions_loss: 259.9621 - logcount_predictions_loss: 0.2671 242/1102 [=====>........................] - ETA: 4:21 - loss: 262.7907 - logits_profile_predictions_loss: 259.9595 - logcount_predictions_loss: 0.2671 243/1102 [=====>........................] - ETA: 4:21 - loss: 262.7880 - logits_profile_predictions_loss: 259.9570 - logcount_predictions_loss: 0.2671 244/1102 [=====>........................] - ETA: 4:20 - loss: 262.7852 - logits_profile_predictions_loss: 259.9545 - logcount_predictions_loss: 0.2671 245/1102 [=====>........................] - ETA: 4:20 - loss: 262.7825 - logits_profile_predictions_loss: 259.9520 - logcount_predictions_loss: 0.2670 246/1102 [=====>........................] - ETA: 4:20 - loss: 262.7795 - logits_profile_predictions_loss: 259.9493 - logcount_predictions_loss: 0.2670 247/1102 [=====>........................] - ETA: 4:20 - loss: 262.7767 - logits_profile_predictions_loss: 259.9467 - logcount_predictions_loss: 0.2670 248/1102 [=====>........................] - ETA: 4:19 - loss: 262.7743 - logits_profile_predictions_loss: 259.9445 - logcount_predictions_loss: 0.2670 249/1102 [=====>........................] - ETA: 4:19 - loss: 262.7719 - logits_profile_predictions_loss: 259.9424 - logcount_predictions_loss: 0.2669 250/1102 [=====>........................] - ETA: 4:19 - loss: 262.7695 - logits_profile_predictions_loss: 259.9402 - logcount_predictions_loss: 0.2669 251/1102 [=====>........................] - ETA: 4:18 - loss: 262.7669 - logits_profile_predictions_loss: 259.9379 - logcount_predictions_loss: 0.2669 252/1102 [=====>........................] - ETA: 4:18 - loss: 262.7645 - logits_profile_predictions_loss: 259.9357 - logcount_predictions_loss: 0.2669 253/1102 [=====>........................] - ETA: 4:18 - loss: 262.7619 - logits_profile_predictions_loss: 259.9334 - logcount_predictions_loss: 0.2668 254/1102 [=====>........................] - ETA: 4:17 - loss: 262.7592 - logits_profile_predictions_loss: 259.9310 - logcount_predictions_loss: 0.2668 255/1102 [=====>........................] - ETA: 4:17 - loss: 262.7565 - logits_profile_predictions_loss: 259.9286 - logcount_predictions_loss: 0.2668 256/1102 [=====>........................] - ETA: 4:17 - loss: 262.7537 - logits_profile_predictions_loss: 259.9260 - logcount_predictions_loss: 0.2668 257/1102 [=====>........................] - ETA: 4:16 - loss: 262.7516 - logits_profile_predictions_loss: 259.9241 - logcount_predictions_loss: 0.2667 258/1102 [======>.......................] - ETA: 4:16 - loss: 262.7494 - logits_profile_predictions_loss: 259.9222 - logcount_predictions_loss: 0.2667 259/1102 [======>.......................] - ETA: 4:16 - loss: 262.7474 - logits_profile_predictions_loss: 259.9204 - logcount_predictions_loss: 0.2667 260/1102 [======>.......................] - ETA: 4:16 - loss: 262.7455 - logits_profile_predictions_loss: 259.9188 - logcount_predictions_loss: 0.2667 261/1102 [======>.......................] - ETA: 4:15 - loss: 262.7436 - logits_profile_predictions_loss: 259.9171 - logcount_predictions_loss: 0.2667 262/1102 [======>.......................] - ETA: 4:15 - loss: 262.7417 - logits_profile_predictions_loss: 259.9155 - logcount_predictions_loss: 0.2666 263/1102 [======>.......................] - ETA: 4:15 - loss: 262.7400 - logits_profile_predictions_loss: 259.9140 - logcount_predictions_loss: 0.2666 264/1102 [======>.......................] - ETA: 4:14 - loss: 262.7383 - logits_profile_predictions_loss: 259.9125 - logcount_predictions_loss: 0.2666 265/1102 [======>.......................] - ETA: 4:14 - loss: 262.7366 - logits_profile_predictions_loss: 259.9110 - logcount_predictions_loss: 0.2666 266/1102 [======>.......................] - ETA: 4:14 - loss: 262.7348 - logits_profile_predictions_loss: 259.9094 - logcount_predictions_loss: 0.2665 267/1102 [======>.......................] - ETA: 4:13 - loss: 262.7328 - logits_profile_predictions_loss: 259.9076 - logcount_predictions_loss: 0.2665 268/1102 [======>.......................] - ETA: 4:13 - loss: 262.7308 - logits_profile_predictions_loss: 259.9059 - logcount_predictions_loss: 0.2665 269/1102 [======>.......................] - ETA: 4:13 - loss: 262.7290 - logits_profile_predictions_loss: 259.9042 - logcount_predictions_loss: 0.2665 270/1102 [======>.......................] - ETA: 4:13 - loss: 262.7270 - logits_profile_predictions_loss: 259.9025 - logcount_predictions_loss: 0.2665 271/1102 [======>.......................] - ETA: 4:12 - loss: 262.7252 - logits_profile_predictions_loss: 259.9009 - logcount_predictions_loss: 0.2664 272/1102 [======>.......................] - ETA: 4:12 - loss: 262.7236 - logits_profile_predictions_loss: 259.8995 - logcount_predictions_loss: 0.2664 273/1102 [======>.......................] - ETA: 4:12 - loss: 262.7220 - logits_profile_predictions_loss: 259.8981 - logcount_predictions_loss: 0.2664 274/1102 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[==>...........................] - ETA: 4:55 - loss: 261.0467 - logits_profile_predictions_loss: 258.5406 - logcount_predictions_loss: 0.2364 130/1102 [==>...........................] - ETA: 4:55 - loss: 261.0389 - logits_profile_predictions_loss: 258.5331 - logcount_predictions_loss: 0.2364 131/1102 [==>...........................] - ETA: 4:55 - loss: 261.0306 - logits_profile_predictions_loss: 258.5253 - logcount_predictions_loss: 0.2364 132/1102 [==>...........................] - ETA: 4:54 - loss: 261.0219 - logits_profile_predictions_loss: 258.5169 - logcount_predictions_loss: 0.2363 133/1102 [==>...........................] - ETA: 4:54 - loss: 261.0127 - logits_profile_predictions_loss: 258.5081 - logcount_predictions_loss: 0.2363 134/1102 [==>...........................] - ETA: 4:54 - loss: 261.0036 - logits_profile_predictions_loss: 258.4994 - logcount_predictions_loss: 0.2363 135/1102 [==>...........................] - ETA: 4:54 - loss: 260.9948 - 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[====>.........................] - ETA: 4:28 - loss: 260.5732 - logits_profile_predictions_loss: 258.0836 - logcount_predictions_loss: 0.2349 221/1102 [=====>........................] - ETA: 4:28 - loss: 260.5681 - logits_profile_predictions_loss: 258.0785 - logcount_predictions_loss: 0.2349 222/1102 [=====>........................] - ETA: 4:27 - loss: 260.5630 - logits_profile_predictions_loss: 258.0734 - logcount_predictions_loss: 0.2349 223/1102 [=====>........................] - ETA: 4:27 - loss: 260.5578 - logits_profile_predictions_loss: 258.0682 - logcount_predictions_loss: 0.2349 224/1102 [=====>........................] - ETA: 4:27 - loss: 260.5524 - logits_profile_predictions_loss: 258.0629 - logcount_predictions_loss: 0.2349 225/1102 [=====>........................] - ETA: 4:26 - loss: 260.5470 - logits_profile_predictions_loss: 258.0574 - logcount_predictions_loss: 0.2349 226/1102 [=====>........................] - ETA: 4:26 - loss: 260.5417 - 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[=====>........................] - ETA: 4:24 - loss: 260.5059 - logits_profile_predictions_loss: 258.0169 - logcount_predictions_loss: 0.2348 234/1102 [=====>........................] - ETA: 4:24 - loss: 260.5009 - logits_profile_predictions_loss: 258.0118 - logcount_predictions_loss: 0.2348 235/1102 [=====>........................] - ETA: 4:23 - loss: 260.4960 - logits_profile_predictions_loss: 258.0070 - logcount_predictions_loss: 0.2348 236/1102 [=====>........................] - ETA: 4:23 - loss: 260.4908 - logits_profile_predictions_loss: 258.0019 - logcount_predictions_loss: 0.2348 237/1102 [=====>........................] - ETA: 4:23 - loss: 260.4854 - logits_profile_predictions_loss: 257.9966 - logcount_predictions_loss: 0.2348 238/1102 [=====>........................] - ETA: 4:22 - loss: 260.4799 - logits_profile_predictions_loss: 257.9912 - logcount_predictions_loss: 0.2348 239/1102 [=====>........................] - ETA: 4:22 - loss: 260.4744 - 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[=====>........................] - ETA: 4:20 - loss: 260.4385 - logits_profile_predictions_loss: 257.9503 - logcount_predictions_loss: 0.2347 247/1102 [=====>........................] - ETA: 4:20 - loss: 260.4339 - logits_profile_predictions_loss: 257.9457 - logcount_predictions_loss: 0.2347 248/1102 [=====>........................] - ETA: 4:19 - loss: 260.4294 - logits_profile_predictions_loss: 257.9413 - logcount_predictions_loss: 0.2347 249/1102 [=====>........................] - ETA: 4:19 - loss: 260.4252 - logits_profile_predictions_loss: 257.9371 - logcount_predictions_loss: 0.2347 250/1102 [=====>........................] - ETA: 4:19 - loss: 260.4212 - logits_profile_predictions_loss: 257.9332 - logcount_predictions_loss: 0.2347 251/1102 [=====>........................] - ETA: 4:18 - loss: 260.4174 - logits_profile_predictions_loss: 257.9295 - logcount_predictions_loss: 0.2347 252/1102 [=====>........................] - ETA: 4:18 - loss: 260.4131 - 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[======>.......................] - ETA: 4:16 - loss: 260.3862 - logits_profile_predictions_loss: 257.8988 - logcount_predictions_loss: 0.2347 260/1102 [======>.......................] - ETA: 4:16 - loss: 260.3819 - logits_profile_predictions_loss: 257.8947 - logcount_predictions_loss: 0.2346 261/1102 [======>.......................] - ETA: 4:15 - loss: 260.3772 - logits_profile_predictions_loss: 257.8900 - logcount_predictions_loss: 0.2346 262/1102 [======>.......................] - ETA: 4:15 - loss: 260.3724 - logits_profile_predictions_loss: 257.8853 - logcount_predictions_loss: 0.2346 263/1102 [======>.......................] - ETA: 4:15 - loss: 260.3678 - logits_profile_predictions_loss: 257.8808 - logcount_predictions_loss: 0.2346 264/1102 [======>.......................] - ETA: 4:14 - loss: 260.3632 - logits_profile_predictions_loss: 257.8762 - logcount_predictions_loss: 0.2346 265/1102 [======>.......................] - ETA: 4:14 - loss: 260.3587 - 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[======>.......................] - ETA: 4:12 - loss: 260.3226 - logits_profile_predictions_loss: 257.8362 - logcount_predictions_loss: 0.2346 273/1102 [======>.......................] - ETA: 4:12 - loss: 260.3170 - logits_profile_predictions_loss: 257.8307 - logcount_predictions_loss: 0.2346 274/1102 [======>.......................] - ETA: 4:11 - loss: 260.3114 - logits_profile_predictions_loss: 257.8252 - logcount_predictions_loss: 0.2346 275/1102 [======>.......................] - ETA: 4:11 - loss: 260.3055 - logits_profile_predictions_loss: 257.8194 - logcount_predictions_loss: 0.2345 276/1102 [======>.......................] - ETA: 4:11 - loss: 260.2999 - logits_profile_predictions_loss: 257.8138 - logcount_predictions_loss: 0.2345 277/1102 [======>.......................] - ETA: 4:10 - loss: 260.2948 - logits_profile_predictions_loss: 257.8087 - logcount_predictions_loss: 0.2345 278/1102 [======>.......................] - ETA: 4:10 - loss: 260.2897 - 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[======>.......................] - ETA: 4:08 - loss: 260.2537 - logits_profile_predictions_loss: 257.7682 - logcount_predictions_loss: 0.2345 286/1102 [======>.......................] - ETA: 4:08 - loss: 260.2485 - logits_profile_predictions_loss: 257.7631 - logcount_predictions_loss: 0.2345 287/1102 [======>.......................] - ETA: 4:07 - loss: 260.2433 - logits_profile_predictions_loss: 257.7580 - logcount_predictions_loss: 0.2345 288/1102 [======>.......................] - ETA: 4:07 - loss: 260.2380 - logits_profile_predictions_loss: 257.7528 - logcount_predictions_loss: 0.2345 289/1102 [======>.......................] - ETA: 4:07 - loss: 260.2326 - logits_profile_predictions_loss: 257.7475 - logcount_predictions_loss: 0.2344 290/1102 [======>.......................] - ETA: 4:07 - loss: 260.2273 - logits_profile_predictions_loss: 257.7423 - logcount_predictions_loss: 0.2344 291/1102 [======>.......................] - ETA: 4:06 - loss: 260.2222 - 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[..............................] - ETA: 5:30 - loss: 263.3541 - logits_profile_predictions_loss: 260.9406 - logcount_predictions_loss: 0.2277 16/1102 [..............................] - ETA: 5:30 - loss: 263.0888 - logits_profile_predictions_loss: 260.6736 - logcount_predictions_loss: 0.2278 17/1102 [..............................] - ETA: 5:30 - loss: 262.7219 - logits_profile_predictions_loss: 260.3076 - logcount_predictions_loss: 0.2278 18/1102 [..............................] - ETA: 5:29 - loss: 262.4245 - logits_profile_predictions_loss: 260.0084 - logcount_predictions_loss: 0.2279 19/1102 [..............................] - ETA: 5:29 - loss: 262.1380 - logits_profile_predictions_loss: 259.7207 - logcount_predictions_loss: 0.2280 20/1102 [..............................] - ETA: 5:29 - loss: 261.8403 - logits_profile_predictions_loss: 259.4219 - logcount_predictions_loss: 0.2282 21/1102 [..............................] - ETA: 5:28 - loss: 261.5721 - logits_profile_predictions_loss: 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loss: 259.9083 - logits_profile_predictions_loss: 257.4950 - logcount_predictions_loss: 0.2277 29/1102 [..............................] - ETA: 5:26 - loss: 259.6943 - logits_profile_predictions_loss: 257.2826 - logcount_predictions_loss: 0.2275 30/1102 [..............................] - ETA: 5:26 - loss: 259.4912 - logits_profile_predictions_loss: 257.0804 - logcount_predictions_loss: 0.2274 31/1102 [..............................] - ETA: 5:25 - loss: 259.2934 - logits_profile_predictions_loss: 256.8838 - logcount_predictions_loss: 0.2273 32/1102 [..............................] - ETA: 5:25 - loss: 259.1157 - logits_profile_predictions_loss: 256.7072 - logcount_predictions_loss: 0.2272 33/1102 [..............................] - ETA: 5:25 - loss: 258.9566 - logits_profile_predictions_loss: 256.5493 - logcount_predictions_loss: 0.2271 34/1102 [..............................] - ETA: 5:24 - loss: 258.8249 - logits_profile_predictions_loss: 256.4190 - logcount_predictions_loss: 0.2270 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logits_profile_predictions_loss: 253.0058 - logcount_predictions_loss: 0.2151 186/1102 [====>.........................] - ETA: 4:38 - loss: 255.2795 - logits_profile_predictions_loss: 253.0002 - logcount_predictions_loss: 0.2150 187/1102 [====>.........................] - ETA: 4:38 - loss: 255.2743 - logits_profile_predictions_loss: 252.9950 - logcount_predictions_loss: 0.2150 188/1102 [====>.........................] - ETA: 4:38 - loss: 255.2693 - logits_profile_predictions_loss: 252.9903 - logcount_predictions_loss: 0.2150 189/1102 [====>.........................] - ETA: 4:37 - loss: 255.2651 - logits_profile_predictions_loss: 252.9862 - logcount_predictions_loss: 0.2150 190/1102 [====>.........................] - ETA: 4:37 - loss: 255.2612 - logits_profile_predictions_loss: 252.9824 - logcount_predictions_loss: 0.2150 191/1102 [====>.........................] - ETA: 4:37 - loss: 255.2573 - logits_profile_predictions_loss: 252.9788 - logcount_predictions_loss: 0.2150 192/1102 [====>.........................] - ETA: 4:36 - loss: 255.2529 - logits_profile_predictions_loss: 252.9745 - logcount_predictions_loss: 0.2149 193/1102 [====>.........................] - ETA: 4:36 - loss: 255.2484 - logits_profile_predictions_loss: 252.9701 - logcount_predictions_loss: 0.2149 194/1102 [====>.........................] - ETA: 4:36 - loss: 255.2443 - logits_profile_predictions_loss: 252.9661 - logcount_predictions_loss: 0.2149 195/1102 [====>.........................] - ETA: 4:35 - loss: 255.2408 - logits_profile_predictions_loss: 252.9628 - logcount_predictions_loss: 0.2149 196/1102 [====>.........................] - ETA: 4:35 - loss: 255.2374 - logits_profile_predictions_loss: 252.9596 - logcount_predictions_loss: 0.2149 197/1102 [====>.........................] - ETA: 4:35 - loss: 255.2342 - logits_profile_predictions_loss: 252.9565 - logcount_predictions_loss: 0.2149 198/1102 [====>.........................] - ETA: 4:35 - loss: 255.2306 - logits_profile_predictions_loss: 252.9531 - logcount_predictions_loss: 0.2149 199/1102 [====>.........................] - ETA: 4:34 - loss: 255.2272 - logits_profile_predictions_loss: 252.9499 - logcount_predictions_loss: 0.2148 200/1102 [====>.........................] - ETA: 4:34 - loss: 255.2238 - logits_profile_predictions_loss: 252.9466 - logcount_predictions_loss: 0.2148 201/1102 [====>.........................] - ETA: 4:34 - loss: 255.2211 - logits_profile_predictions_loss: 252.9440 - logcount_predictions_loss: 0.2148 202/1102 [====>.........................] - ETA: 4:33 - loss: 255.2181 - logits_profile_predictions_loss: 252.9413 - logcount_predictions_loss: 0.2148 203/1102 [====>.........................] - ETA: 4:33 - loss: 255.2154 - logits_profile_predictions_loss: 252.9387 - logcount_predictions_loss: 0.2148 204/1102 [====>.........................] - ETA: 4:33 - loss: 255.2128 - logits_profile_predictions_loss: 252.9362 - logcount_predictions_loss: 0.2148 205/1102 [====>.........................] - ETA: 4:32 - loss: 255.2102 - logits_profile_predictions_loss: 252.9337 - logcount_predictions_loss: 0.2148 206/1102 [====>.........................] - ETA: 4:32 - loss: 255.2078 - logits_profile_predictions_loss: 252.9315 - logcount_predictions_loss: 0.2147 207/1102 [====>.........................] - ETA: 4:32 - loss: 255.2053 - logits_profile_predictions_loss: 252.9291 - logcount_predictions_loss: 0.2147 208/1102 [====>.........................] - ETA: 4:32 - loss: 255.2029 - logits_profile_predictions_loss: 252.9270 - logcount_predictions_loss: 0.2147 209/1102 [====>.........................] - ETA: 4:31 - loss: 255.2010 - logits_profile_predictions_loss: 252.9252 - logcount_predictions_loss: 0.2147 210/1102 [====>.........................] - ETA: 4:31 - loss: 255.1993 - logits_profile_predictions_loss: 252.9237 - logcount_predictions_loss: 0.2147 211/1102 [====>.........................] - ETA: 4:31 - loss: 255.1980 - logits_profile_predictions_loss: 252.9225 - logcount_predictions_loss: 0.2147 212/1102 [====>.........................] - ETA: 4:30 - loss: 255.1965 - logits_profile_predictions_loss: 252.9211 - logcount_predictions_loss: 0.2147 213/1102 [====>.........................] - ETA: 4:30 - loss: 255.1955 - logits_profile_predictions_loss: 252.9203 - logcount_predictions_loss: 0.2146 214/1102 [====>.........................] - ETA: 4:30 - loss: 255.1947 - logits_profile_predictions_loss: 252.9196 - logcount_predictions_loss: 0.2146 215/1102 [====>.........................] - ETA: 4:29 - loss: 255.1942 - logits_profile_predictions_loss: 252.9192 - logcount_predictions_loss: 0.2146 216/1102 [====>.........................] - ETA: 4:29 - loss: 255.1933 - logits_profile_predictions_loss: 252.9185 - logcount_predictions_loss: 0.2146 217/1102 [====>.........................] - ETA: 4:29 - loss: 255.1924 - logits_profile_predictions_loss: 252.9178 - logcount_predictions_loss: 0.2146 218/1102 [====>.........................] - ETA: 4:28 - loss: 255.1914 - logits_profile_predictions_loss: 252.9170 - logcount_predictions_loss: 0.2146 219/1102 [====>.........................] - ETA: 4:28 - loss: 255.1904 - logits_profile_predictions_loss: 252.9161 - logcount_predictions_loss: 0.2146 220/1102 [====>.........................] - ETA: 4:28 - loss: 255.1892 - logits_profile_predictions_loss: 252.9151 - logcount_predictions_loss: 0.2145 221/1102 [=====>........................] - ETA: 4:28 - loss: 255.1884 - logits_profile_predictions_loss: 252.9145 - logcount_predictions_loss: 0.2145 222/1102 [=====>........................] - ETA: 4:27 - loss: 255.1879 - logits_profile_predictions_loss: 252.9142 - logcount_predictions_loss: 0.2145 223/1102 [=====>........................] - ETA: 4:27 - loss: 255.1871 - logits_profile_predictions_loss: 252.9136 - logcount_predictions_loss: 0.2145 224/1102 [=====>........................] - ETA: 4:27 - loss: 255.1868 - logits_profile_predictions_loss: 252.9134 - logcount_predictions_loss: 0.2145 225/1102 [=====>........................] - ETA: 4:26 - loss: 255.1863 - logits_profile_predictions_loss: 252.9131 - logcount_predictions_loss: 0.2145 226/1102 [=====>........................] - ETA: 4:26 - loss: 255.1855 - logits_profile_predictions_loss: 252.9125 - logcount_predictions_loss: 0.2144 227/1102 [=====>........................] - ETA: 4:26 - loss: 255.1842 - logits_profile_predictions_loss: 252.9112 - logcount_predictions_loss: 0.2144 228/1102 [=====>........................] - ETA: 4:25 - loss: 255.1828 - logits_profile_predictions_loss: 252.9099 - logcount_predictions_loss: 0.2144 229/1102 [=====>........................] - ETA: 4:25 - loss: 255.1816 - logits_profile_predictions_loss: 252.9089 - logcount_predictions_loss: 0.2144 230/1102 [=====>........................] - ETA: 4:25 - loss: 255.1803 - logits_profile_predictions_loss: 252.9078 - logcount_predictions_loss: 0.2144 231/1102 [=====>........................] - ETA: 4:25 - loss: 255.1792 - logits_profile_predictions_loss: 252.9067 - logcount_predictions_loss: 0.2144 232/1102 [=====>........................] - ETA: 4:24 - loss: 255.1779 - logits_profile_predictions_loss: 252.9056 - logcount_predictions_loss: 0.2144 233/1102 [=====>........................] - ETA: 4:24 - loss: 255.1766 - logits_profile_predictions_loss: 252.9044 - logcount_predictions_loss: 0.2144 234/1102 [=====>........................] - ETA: 4:24 - loss: 255.1751 - logits_profile_predictions_loss: 252.9030 - logcount_predictions_loss: 0.2144 235/1102 [=====>........................] - ETA: 4:23 - loss: 255.1733 - logits_profile_predictions_loss: 252.9013 - logcount_predictions_loss: 0.2143 236/1102 [=====>........................] - ETA: 4:23 - loss: 255.1714 - logits_profile_predictions_loss: 252.8995 - logcount_predictions_loss: 0.2143 237/1102 [=====>........................] - ETA: 4:23 - loss: 255.1694 - logits_profile_predictions_loss: 252.8976 - logcount_predictions_loss: 0.2143 238/1102 [=====>........................] - ETA: 4:22 - loss: 255.1670 - logits_profile_predictions_loss: 252.8953 - logcount_predictions_loss: 0.2143 239/1102 [=====>........................] - ETA: 4:22 - loss: 255.1647 - logits_profile_predictions_loss: 252.8932 - logcount_predictions_loss: 0.2143 240/1102 [=====>........................] - ETA: 4:22 - loss: 255.1624 - logits_profile_predictions_loss: 252.8909 - logcount_predictions_loss: 0.2143 241/1102 [=====>........................] - ETA: 4:21 - loss: 255.1603 - logits_profile_predictions_loss: 252.8890 - logcount_predictions_loss: 0.2143 242/1102 [=====>........................] - ETA: 4:21 - loss: 255.1582 - logits_profile_predictions_loss: 252.8871 - logcount_predictions_loss: 0.2143 243/1102 [=====>........................] - ETA: 4:21 - loss: 255.1562 - logits_profile_predictions_loss: 252.8851 - logcount_predictions_loss: 0.2143 244/1102 [=====>........................] - ETA: 4:21 - loss: 255.1539 - logits_profile_predictions_loss: 252.8830 - logcount_predictions_loss: 0.2142 245/1102 [=====>........................] - ETA: 4:20 - loss: 255.1521 - logits_profile_predictions_loss: 252.8813 - logcount_predictions_loss: 0.2142 246/1102 [=====>........................] - ETA: 4:20 - loss: 255.1505 - logits_profile_predictions_loss: 252.8798 - logcount_predictions_loss: 0.2142 247/1102 [=====>........................] - ETA: 4:20 - loss: 255.1492 - logits_profile_predictions_loss: 252.8787 - logcount_predictions_loss: 0.2142 248/1102 [=====>........................] - ETA: 4:19 - loss: 255.1481 - logits_profile_predictions_loss: 252.8776 - logcount_predictions_loss: 0.2142 249/1102 [=====>........................] - ETA: 4:19 - loss: 255.1474 - logits_profile_predictions_loss: 252.8771 - logcount_predictions_loss: 0.2142 250/1102 [=====>........................] - ETA: 4:19 - loss: 255.1467 - logits_profile_predictions_loss: 252.8765 - logcount_predictions_loss: 0.2142 251/1102 [=====>........................] - ETA: 4:18 - loss: 255.1458 - logits_profile_predictions_loss: 252.8757 - logcount_predictions_loss: 0.2142 252/1102 [=====>........................] - ETA: 4:18 - loss: 255.1450 - logits_profile_predictions_loss: 252.8750 - logcount_predictions_loss: 0.2142 253/1102 [=====>........................] - ETA: 4:18 - loss: 255.1441 - logits_profile_predictions_loss: 252.8742 - logcount_predictions_loss: 0.2141 254/1102 [=====>........................] - ETA: 4:18 - loss: 255.1430 - logits_profile_predictions_loss: 252.8732 - logcount_predictions_loss: 0.2141 255/1102 [=====>........................] - ETA: 4:17 - loss: 255.1421 - logits_profile_predictions_loss: 252.8724 - logcount_predictions_loss: 0.2141 256/1102 [=====>........................] - ETA: 4:17 - loss: 255.1418 - logits_profile_predictions_loss: 252.8722 - logcount_predictions_loss: 0.2141 257/1102 [=====>........................] - ETA: 4:17 - loss: 255.1413 - logits_profile_predictions_loss: 252.8718 - logcount_predictions_loss: 0.2141 258/1102 [======>.......................] - ETA: 4:16 - loss: 255.1411 - logits_profile_predictions_loss: 252.8717 - logcount_predictions_loss: 0.2141 259/1102 [======>.......................] - ETA: 4:16 - loss: 255.1407 - logits_profile_predictions_loss: 252.8714 - logcount_predictions_loss: 0.2141 260/1102 [======>.......................] - ETA: 4:16 - loss: 255.1400 - logits_profile_predictions_loss: 252.8708 - logcount_predictions_loss: 0.2141 261/1102 [======>.......................] - ETA: 4:15 - loss: 255.1393 - logits_profile_predictions_loss: 252.8701 - logcount_predictions_loss: 0.2141 262/1102 [======>.......................] - ETA: 4:15 - loss: 255.1381 - logits_profile_predictions_loss: 252.8691 - logcount_predictions_loss: 0.2141 263/1102 [======>.......................] - ETA: 4:15 - loss: 255.1369 - logits_profile_predictions_loss: 252.8680 - logcount_predictions_loss: 0.2141 264/1102 [======>.......................] - ETA: 4:15 - loss: 255.1357 - logits_profile_predictions_loss: 252.8669 - logcount_predictions_loss: 0.2140 265/1102 [======>.......................] - ETA: 4:14 - loss: 255.1347 - logits_profile_predictions_loss: 252.8660 - logcount_predictions_loss: 0.2140 266/1102 [======>.......................] - ETA: 4:14 - loss: 255.1335 - logits_profile_predictions_loss: 252.8649 - logcount_predictions_loss: 0.2140 267/1102 [======>.......................] - ETA: 4:14 - loss: 255.1323 - logits_profile_predictions_loss: 252.8638 - logcount_predictions_loss: 0.2140 268/1102 [======>.......................] - ETA: 4:13 - loss: 255.1309 - logits_profile_predictions_loss: 252.8625 - logcount_predictions_loss: 0.2140 269/1102 [======>.......................] - ETA: 4:13 - loss: 255.1295 - logits_profile_predictions_loss: 252.8611 - logcount_predictions_loss: 0.2140 270/1102 [======>.......................] - ETA: 4:13 - loss: 255.1280 - logits_profile_predictions_loss: 252.8598 - logcount_predictions_loss: 0.2140 271/1102 [======>.......................] - ETA: 4:12 - loss: 255.1266 - logits_profile_predictions_loss: 252.8585 - logcount_predictions_loss: 0.2140 272/1102 [======>.......................] - ETA: 4:12 - loss: 255.1249 - logits_profile_predictions_loss: 252.8569 - logcount_predictions_loss: 0.2140 273/1102 [======>.......................] - ETA: 4:12 - loss: 255.1233 - logits_profile_predictions_loss: 252.8555 - logcount_predictions_loss: 0.2140 274/1102 [======>.......................] - ETA: 4:11 - loss: 255.1219 - logits_profile_predictions_loss: 252.8542 - logcount_predictions_loss: 0.2139 275/1102 [======>.......................] - ETA: 4:11 - loss: 255.1205 - logits_profile_predictions_loss: 252.8528 - logcount_predictions_loss: 0.2139 276/1102 [======>.......................] - ETA: 4:11 - loss: 255.1191 - logits_profile_predictions_loss: 252.8516 - logcount_predictions_loss: 0.2139 277/1102 [======>.......................] - ETA: 4:11 - loss: 255.1178 - logits_profile_predictions_loss: 252.8503 - logcount_predictions_loss: 0.2139 278/1102 [======>.......................] - ETA: 4:10 - loss: 255.1164 - logits_profile_predictions_loss: 252.8491 - logcount_predictions_loss: 0.2139 279/1102 [======>.......................] - ETA: 4:10 - loss: 255.1153 - logits_profile_predictions_loss: 252.8480 - logcount_predictions_loss: 0.2139 280/1102 [======>.......................] - ETA: 4:10 - loss: 255.1139 - logits_profile_predictions_loss: 252.8468 - logcount_predictions_loss: 0.2139 281/1102 [======>.......................] - ETA: 4:09 - loss: 255.1127 - logits_profile_predictions_loss: 252.8456 - logcount_predictions_loss: 0.2139 282/1102 [======>.......................] - ETA: 4:09 - loss: 255.1117 - logits_profile_predictions_loss: 252.8448 - logcount_predictions_loss: 0.2139 283/1102 [======>.......................] - ETA: 4:09 - loss: 255.1106 - logits_profile_predictions_loss: 252.8438 - logcount_predictions_loss: 0.2139 284/1102 [======>.......................] - ETA: 4:08 - loss: 255.1096 - logits_profile_predictions_loss: 252.8428 - logcount_predictions_loss: 0.2138 285/1102 [======>.......................] - ETA: 4:08 - loss: 255.1088 - logits_profile_predictions_loss: 252.8421 - logcount_predictions_loss: 0.2138 286/1102 [======>.......................] - ETA: 4:08 - loss: 255.1078 - logits_profile_predictions_loss: 252.8412 - logcount_predictions_loss: 0.2138 287/1102 [======>.......................] - ETA: 4:08 - loss: 255.1065 - logits_profile_predictions_loss: 252.8400 - logcount_predictions_loss: 0.2138 288/1102 [======>.......................] - ETA: 4:07 - loss: 255.1053 - logits_profile_predictions_loss: 252.8389 - logcount_predictions_loss: 0.2138 289/1102 [======>.......................] - ETA: 4:07 - loss: 255.1045 - logits_profile_predictions_loss: 252.8382 - logcount_predictions_loss: 0.2138 290/1102 [======>.......................] - ETA: 4:07 - loss: 255.1038 - logits_profile_predictions_loss: 252.8376 - logcount_predictions_loss: 0.2138 291/1102 [======>.......................] - ETA: 4:06 - loss: 255.1031 - logits_profile_predictions_loss: 252.8369 - logcount_predictions_loss: 0.2138 292/1102 [======>.......................] - ETA: 4:06 - loss: 255.1026 - logits_profile_predictions_loss: 252.8365 - logcount_predictions_loss: 0.2138 293/1102 [======>.......................] - ETA: 4:06 - loss: 255.1018 - logits_profile_predictions_loss: 252.8358 - logcount_predictions_loss: 0.2138 294/1102 [=======>......................] - ETA: 4:05 - loss: 255.1009 - logits_profile_predictions_loss: 252.8350 - logcount_predictions_loss: 0.2138 295/1102 [=======>......................] - ETA: 4:05 - loss: 255.1007 - logits_profile_predictions_loss: 252.8348 - logcount_predictions_loss: 0.2138 296/1102 [=======>......................] - ETA: 4:05 - loss: 255.1002 - logits_profile_predictions_loss: 252.8344 - logcount_predictions_loss: 0.2138 297/1102 [=======>......................] - ETA: 4:04 - loss: 255.0998 - logits_profile_predictions_loss: 252.8341 - logcount_predictions_loss: 0.2137 298/1102 [=======>......................] - ETA: 4:04 - loss: 255.0994 - logits_profile_predictions_loss: 252.8338 - logcount_predictions_loss: 0.2137 299/1102 [=======>......................] - ETA: 4:04 - loss: 255.0990 - logits_profile_predictions_loss: 252.8335 - logcount_predictions_loss: 0.2137 300/1102 [=======>......................] - ETA: 4:04 - loss: 255.0986 - logits_profile_predictions_loss: 252.8331 - logcount_predictions_loss: 0.2137 301/1102 [=======>......................] - ETA: 4:03 - loss: 255.0986 - logits_profile_predictions_loss: 252.8332 - logcount_predictions_loss: 0.2137 302/1102 [=======>......................] - ETA: 4:03 - loss: 255.0984 - logits_profile_predictions_loss: 252.8331 - logcount_predictions_loss: 0.2137 303/1102 [=======>......................] - ETA: 4:03 - loss: 255.0983 - logits_profile_predictions_loss: 252.8330 - logcount_predictions_loss: 0.2137 304/1102 [=======>......................] - ETA: 4:02 - loss: 255.0982 - logits_profile_predictions_loss: 252.8329 - logcount_predictions_loss: 0.2137 305/1102 [=======>......................] - ETA: 4:02 - loss: 255.0978 - logits_profile_predictions_loss: 252.8326 - logcount_predictions_loss: 0.2137 306/1102 [=======>......................] - ETA: 4:02 - loss: 255.0975 - logits_profile_predictions_loss: 252.8323 - logcount_predictions_loss: 0.2137 307/1102 [=======>......................] - ETA: 4:01 - loss: 255.0971 - logits_profile_predictions_loss: 252.8320 - logcount_predictions_loss: 0.2137 308/1102 [=======>......................] - ETA: 4:01 - loss: 255.0968 - logits_profile_predictions_loss: 252.8317 - logcount_predictions_loss: 0.2137 309/1102 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logits_profile_predictions_loss: 252.7487 - logcount_predictions_loss: 0.2114 1026/1102 [==========================>...] - ETA: 23s - loss: 254.9898 - logits_profile_predictions_loss: 252.7488 - logcount_predictions_loss: 0.2114 1027/1102 [==========================>...] - ETA: 22s - loss: 254.9898 - logits_profile_predictions_loss: 252.7488 - logcount_predictions_loss: 0.2114 1028/1102 [==========================>...] - ETA: 22s - loss: 254.9899 - logits_profile_predictions_loss: 252.7489 - logcount_predictions_loss: 0.2114 1029/1102 [===========================>..] - ETA: 22s - loss: 254.9899 - logits_profile_predictions_loss: 252.7490 - logcount_predictions_loss: 0.2114 1030/1102 [===========================>..] - ETA: 21s - loss: 254.9900 - logits_profile_predictions_loss: 252.7491 - logcount_predictions_loss: 0.2114 1031/1102 [===========================>..] - ETA: 21s - loss: 254.9901 - logits_profile_predictions_loss: 252.7492 - logcount_predictions_loss: 0.2114 1032/1102 [===========================>..] - ETA: 21s - loss: 254.9901 - logits_profile_predictions_loss: 252.7492 - logcount_predictions_loss: 0.2114 1033/1102 [===========================>..] - ETA: 21s - loss: 254.9901 - logits_profile_predictions_loss: 252.7493 - logcount_predictions_loss: 0.2114 1034/1102 [===========================>..] - ETA: 20s - loss: 254.9902 - logits_profile_predictions_loss: 252.7493 - logcount_predictions_loss: 0.2114 1035/1102 [===========================>..] - ETA: 20s - loss: 254.9902 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2114 1036/1102 [===========================>..] - ETA: 20s - loss: 254.9902 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2114 1037/1102 [===========================>..] - ETA: 19s - loss: 254.9903 - logits_profile_predictions_loss: 252.7495 - logcount_predictions_loss: 0.2114 1038/1102 [===========================>..] - ETA: 19s - loss: 254.9903 - logits_profile_predictions_loss: 252.7496 - logcount_predictions_loss: 0.2114 1039/1102 [===========================>..] - ETA: 19s - loss: 254.9904 - logits_profile_predictions_loss: 252.7497 - logcount_predictions_loss: 0.2114 1040/1102 [===========================>..] - ETA: 18s - loss: 254.9904 - logits_profile_predictions_loss: 252.7497 - logcount_predictions_loss: 0.2114 1041/1102 [===========================>..] - ETA: 18s - loss: 254.9905 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2114 1042/1102 [===========================>..] - ETA: 18s - loss: 254.9905 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2114 1043/1102 [===========================>..] - ETA: 17s - loss: 254.9905 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1044/1102 [===========================>..] - ETA: 17s - loss: 254.9905 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1045/1102 [===========================>..] - ETA: 17s - loss: 254.9905 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1046/1102 [===========================>..] - ETA: 17s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1047/1102 [===========================>..] - ETA: 16s - loss: 254.9906 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1048/1102 [===========================>..] - ETA: 16s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1049/1102 [===========================>..] - ETA: 16s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1050/1102 [===========================>..] - ETA: 15s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1051/1102 [===========================>..] - ETA: 15s - loss: 254.9905 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1052/1102 [===========================>..] - ETA: 15s - loss: 254.9904 - logits_profile_predictions_loss: 252.7500 - logcount_predictions_loss: 0.2114 1053/1102 [===========================>..] - ETA: 14s - loss: 254.9904 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1054/1102 [===========================>..] - ETA: 14s - loss: 254.9903 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1055/1102 [===========================>..] - ETA: 14s - loss: 254.9903 - logits_profile_predictions_loss: 252.7499 - logcount_predictions_loss: 0.2114 1056/1102 [===========================>..] - ETA: 14s - loss: 254.9902 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2114 1057/1102 [===========================>..] - ETA: 13s - loss: 254.9902 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2113 1058/1102 [===========================>..] - ETA: 13s - loss: 254.9901 - logits_profile_predictions_loss: 252.7498 - logcount_predictions_loss: 0.2113 1059/1102 [===========================>..] - ETA: 13s - loss: 254.9900 - logits_profile_predictions_loss: 252.7497 - logcount_predictions_loss: 0.2113 1060/1102 [===========================>..] - ETA: 12s - loss: 254.9900 - logits_profile_predictions_loss: 252.7497 - logcount_predictions_loss: 0.2113 1061/1102 [===========================>..] - ETA: 12s - loss: 254.9899 - logits_profile_predictions_loss: 252.7496 - logcount_predictions_loss: 0.2113 1062/1102 [===========================>..] - ETA: 12s - loss: 254.9898 - logits_profile_predictions_loss: 252.7496 - logcount_predictions_loss: 0.2113 1063/1102 [===========================>..] - ETA: 11s - loss: 254.9898 - logits_profile_predictions_loss: 252.7495 - logcount_predictions_loss: 0.2113 1064/1102 [===========================>..] - ETA: 11s - loss: 254.9897 - logits_profile_predictions_loss: 252.7495 - logcount_predictions_loss: 0.2113 1065/1102 [===========================>..] - ETA: 11s - loss: 254.9896 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2113 1066/1102 [============================>.] - ETA: 10s - loss: 254.9895 - logits_profile_predictions_loss: 252.7494 - logcount_predictions_loss: 0.2113 1067/1102 [============================>.] - ETA: 10s - loss: 254.9895 - logits_profile_predictions_loss: 252.7493 - logcount_predictions_loss: 0.2113 1068/1102 [============================>.] - ETA: 10s - loss: 254.9894 - logits_profile_predictions_loss: 252.7492 - logcount_predictions_loss: 0.2113 1069/1102 [============================>.] - ETA: 10s - loss: 254.9892 - logits_profile_predictions_loss: 252.7491 - logcount_predictions_loss: 0.2113 1070/1102 [============================>.] - ETA: 9s - loss: 254.9891 - logits_profile_predictions_loss: 252.7490 - logcount_predictions_loss: 0.2113  1071/1102 [============================>.] - ETA: 9s - loss: 254.9891 - logits_profile_predictions_loss: 252.7490 - logcount_predictions_loss: 0.2113 1072/1102 [============================>.] - ETA: 9s - loss: 254.9890 - logits_profile_predictions_loss: 252.7489 - logcount_predictions_loss: 0.2113 1073/1102 [============================>.] - ETA: 8s - loss: 254.9889 - logits_profile_predictions_loss: 252.7488 - logcount_predictions_loss: 0.2113 1074/1102 [============================>.] - ETA: 8s - loss: 254.9888 - logits_profile_predictions_loss: 252.7488 - logcount_predictions_loss: 0.2113 1075/1102 [============================>.] - ETA: 8s - loss: 254.9887 - logits_profile_predictions_loss: 252.7487 - logcount_predictions_loss: 0.2113 1076/1102 [============================>.] - ETA: 7s - loss: 254.9886 - logits_profile_predictions_loss: 252.7486 - logcount_predictions_loss: 0.2113 1077/1102 [============================>.] - ETA: 7s - loss: 254.9885 - logits_profile_predictions_loss: 252.7486 - logcount_predictions_loss: 0.2113 1078/1102 [============================>.] - ETA: 7s - loss: 254.9884 - logits_profile_predictions_loss: 252.7485 - logcount_predictions_loss: 0.2113 1079/1102 [============================>.] - ETA: 7s - loss: 254.9883 - logits_profile_predictions_loss: 252.7484 - logcount_predictions_loss: 0.2113 1080/1102 [============================>.] - ETA: 6s - loss: 254.9882 - logits_profile_predictions_loss: 252.7483 - logcount_predictions_loss: 0.2113 1081/1102 [============================>.] - ETA: 6s - loss: 254.9881 - logits_profile_predictions_loss: 252.7482 - logcount_predictions_loss: 0.2113 1082/1102 [============================>.] - ETA: 6s - loss: 254.9880 - logits_profile_predictions_loss: 252.7481 - logcount_predictions_loss: 0.2113 1083/1102 [============================>.] - ETA: 5s - loss: 254.9879 - logits_profile_predictions_loss: 252.7480 - logcount_predictions_loss: 0.2113 1084/1102 [============================>.] - ETA: 5s - loss: 254.9878 - logits_profile_predictions_loss: 252.7480 - logcount_predictions_loss: 0.2113 1085/1102 [============================>.] - ETA: 5s - loss: 254.9878 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2113 1086/1102 [============================>.] - ETA: 4s - loss: 254.9877 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2113 1087/1102 [============================>.] - ETA: 4s - loss: 254.9877 - logits_profile_predictions_loss: 252.7479 - logcount_predictions_loss: 0.2113 1088/1102 [============================>.] - ETA: 4s - loss: 254.9876 - logits_profile_predictions_loss: 252.7478 - logcount_predictions_loss: 0.2113 1089/1102 [============================>.] - ETA: 3s - loss: 254.9875 - logits_profile_predictions_loss: 252.7478 - logcount_predictions_loss: 0.2113 1090/1102 [============================>.] - ETA: 3s - loss: 254.9875 - logits_profile_predictions_loss: 252.7477 - logcount_predictions_loss: 0.2113 1091/1102 [============================>.] - ETA: 3s - loss: 254.9874 - logits_profile_predictions_loss: 252.7477 - logcount_predictions_loss: 0.2113 1092/1102 [============================>.] - ETA: 3s - loss: 254.9873 - logits_profile_predictions_loss: 252.7476 - logcount_predictions_loss: 0.2113 1093/1102 [============================>.] - ETA: 2s - loss: 254.9872 - logits_profile_predictions_loss: 252.7475 - logcount_predictions_loss: 0.2113 1094/1102 [============================>.] - ETA: 2s - loss: 254.9870 - logits_profile_predictions_loss: 252.7474 - logcount_predictions_loss: 0.2113 1095/1102 [============================>.] - ETA: 2s - loss: 254.9869 - logits_profile_predictions_loss: 252.7473 - logcount_predictions_loss: 0.2113 1096/1102 [============================>.] - ETA: 1s - loss: 254.9868 - logits_profile_predictions_loss: 252.7472 - logcount_predictions_loss: 0.2113 1097/1102 [============================>.] - ETA: 1s - loss: 254.9867 - logits_profile_predictions_loss: 252.7471 - logcount_predictions_loss: 0.2113 1098/1102 [============================>.] - ETA: 1s - loss: 254.9865 - logits_profile_predictions_loss: 252.7470 - logcount_predictions_loss: 0.2113 1099/1102 [============================>.] - ETA: 0s - loss: 254.9864 - logits_profile_predictions_loss: 252.7469 - logcount_predictions_loss: 0.2113 1100/1102 [============================>.] - ETA: 0s - loss: 254.9863 - logits_profile_predictions_loss: 252.7468 - logcount_predictions_loss: 0.2113 1101/1102 [============================>.] - ETA: 0s - loss: 254.9862 - logits_profile_predictions_loss: 252.7467 - logcount_predictions_loss: 0.2113 1102/1102 [==============================] - ETA: 0s - loss: 254.9862 - logits_profile_predictions_loss: 252.7467 - logcount_predictions_loss: 0.2113 1102/1102 [==============================] - 348s 316ms/step - loss: 254.9861 - logits_profile_predictions_loss: 252.7466 - logcount_predictions_loss: 0.2113 - val_loss: 278.0227 - val_logits_profile_predictions_loss: 274.8435 - val_logcount_predictions_loss: 0.2999 + +Epoch 00011: val_loss did not improve from 274.00116 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-09-22_06-38-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(18107, 10) +loading nonpeaks... +got split:test for bed regions:(20553, 10) +0/152 +100/152 +2022-09-22_06-41-28: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(18107, 10) +loading nonpeaks... +got split:test for bed regions:(20553, 10) +0/152 +100/152 +2022-09-22_06-44-24: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR823ZCR//preprocessing/bigWigs/ENCSR823ZCR.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(18107, 10) +loading nonpeaks... +got split:test for bed regions:(20553, 10) +0/152 +100/152 +2022-09-22_06-46-03: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_06-46-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 4:52 3/18 [====>.........................] - ETA: 7s  4/18 [=====>........................] - ETA: 8s 5/18 [=======>......................] - ETA: 9s 6/18 [=========>....................] - ETA: 9s 7/18 [==========>...................] - ETA: 8s 8/18 [============>.................] - ETA: 8s 9/18 [==============>...............] - ETA: 7s 10/18 [===============>..............] - ETA: 6s 11/18 [=================>............] - ETA: 5s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 48s 2s/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 987ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 987ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 988ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 989ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 990ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 990ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 991ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 991ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 15s 3/18 [====>.........................] - ETA: 14s 4/18 [=====>........................] - ETA: 13s 5/18 [=======>......................] - ETA: 12s 6/18 [=========>....................] - ETA: 11s 7/18 [==========>...................] - ETA: 10s 8/18 [============>.................] - ETA: 9s  9/18 [==============>...............] - ETA: 8s 10/18 [===============>..............] - ETA: 7s 11/18 [=================>............] - ETA: 6s 12/18 [===================>..........] - ETA: 5s 13/18 [====================>.........] - ETA: 4s 14/18 [======================>.......] - ETA: 3s 15/18 [========================>.....] - ETA: 2s 16/18 [=========================>....] - ETA: 1s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 17s 991ms/step +Saving marginal footprints +2022-09-22_06-49-35: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_06-49-35: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR823ZCR//chrombpnet_model_feb15_fold_4//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: tn5_1 +GCACAGTACAGAGCTG + 1/18 [>.............................] - ETA: 3:21 3/18 [====>.........................] - ETA: 0s  4/18 [=====>........................] - ETA: 0s 5/18 [=======>......................] - ETA: 0s 6/18 [=========>....................] - ETA: 0s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 23s 670ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 89ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 89ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 [========================>.....] - ETA: 0s 16/18 [=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/18 [>.............................] - ETA: 0s 2/18 [==>...........................] - ETA: 1s 3/18 [====>.........................] - ETA: 1s 4/18 [=====>........................] - ETA: 1s 5/18 [=======>......................] - ETA: 1s 6/18 [=========>....................] - ETA: 1s 7/18 [==========>...................] - ETA: 0s 8/18 [============>.................] - ETA: 0s 9/18 [==============>...............] - ETA: 0s 10/18 [===============>..............] - ETA: 0s 11/18 [=================>............] - ETA: 0s 12/18 [===================>..........] - ETA: 0s 13/18 [====================>.........] - ETA: 0s 14/18 [======================>.......] - ETA: 0s 15/18 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[=========================>....] - ETA: 0s 17/18 [===========================>..] - ETA: 0s 18/18 [==============================] - ETA: 0s 18/18 [==============================] - 2s 90ms/step +Saving marginal footprints diff --git a/fold_4/model.bias_scaled.fold_4.ENCSR823ZCR.h5 b/fold_4/model.bias_scaled.fold_4.ENCSR823ZCR.h5 new file mode 100644 index 0000000000000000000000000000000000000000..357bb17826dfb610342974aa93da3d771e2c4b41 --- /dev/null +++ b/fold_4/model.bias_scaled.fold_4.ENCSR823ZCR.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5083e3a96b684b493746501067201ab5f531c62c8f53899a10eb0f28faeda6ab +size 2688440 diff --git a/fold_4/model.bias_scaled.fold_4.ENCSR823ZCR.tar b/fold_4/model.bias_scaled.fold_4.ENCSR823ZCR.tar new file mode 100644 index 0000000000000000000000000000000000000000..55a2aa0eb5471b127530a3ebf7c8636ce022cbb7 --- /dev/null +++ b/fold_4/model.bias_scaled.fold_4.ENCSR823ZCR.tar @@ -0,0 +1,3 @@ +version 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