diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..f54e6bcdbe897382dac2c6c2a37ff2475559e2a7 --- /dev/null +++ b/README.md @@ -0,0 +1,120 @@ +--- +license: mit +library_name: chrombpnet +tags: + - encode + - chrombpnet + - chromatin-accessibility + - ATAC + - esophag + - 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 esophagus muscularis mucosa (ENCSR609GST) +- Model: ChromBPNet +- Assay: ATAC-seq +- Experiment: [ENCSR609GST](https://www.encodeproject.org/experiments/ENCSR609GST/) +- Model annotation: [ENCSR819FQP](https://www.encodeproject.org/annotations/ENCSR819FQP/) +- Biosample: esophagus muscularis mucosa (Full name: Homo sapiens esophagus muscularis mucosa tissue male adult (54 years)) +- Cell slim(s): None +- Organ slim(s): musculature-of-body,esophagus +- Developmental slim(s): mesoderm +- System slim(s): digestive-system,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.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.args.json b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.args.json new file mode 100644 index 0000000000000000000000000000000000000000..6a5fe5b78bea74ac4a92e343c5ba15421dfa0932 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.batch_loss.tsv b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..fbf1d5389a4982fa390297c651412770b9438b8f --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.batch_loss.tsv @@ -0,0 +1,7503 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 1.2251574993133545 193.47987365722656 186.86402893066406 None None None +0 1 189.48599243164062 1204.369873046875 181.1455078125 None None None +0 2 126.63382720947266 861.77783203125 177.95509338378906 None None None +0 3 95.25889587402344 691.631591796875 177.23350524902344 None None None +0 4 76.39042663574219 587.83251953125 175.32421875 None None None +0 5 63.77494430541992 515.6936645507812 171.30897521972656 None None None +0 6 54.84247970581055 468.74755859375 172.59814453125 None None None +0 7 48.132225036621094 432.9735107421875 173.0594940185547 None None None +0 8 42.90883255004883 405.2605895996094 173.55287170410156 None None None +0 9 38.70639419555664 381.8385314941406 172.82400512695312 None None None +0 10 35.27543258666992 362.6858215332031 172.198486328125 None None None +0 11 32.415802001953125 346.3222961425781 171.2769775390625 None None None +0 12 30.00458526611328 333.3895263671875 171.36477661132812 None None None +0 13 27.927839279174805 321.4273986816406 170.6170654296875 None None None +0 14 26.140491485595703 312.0043029785156 170.84567260742188 None None None +0 15 24.56388282775879 303.4468078613281 170.8018798828125 None None None +0 16 23.171831130981445 295.04571533203125 169.91786193847656 None None None +0 17 21.940643310546875 288.4227294921875 169.94329833984375 None None None +0 18 20.837305068969727 282.3485412597656 169.82713317871094 None None None +0 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0.1542232483625412 160.1959991455078 159.36318969726562 None None None +10 616 0.15418753027915955 160.18194580078125 159.3493194580078 None None None +10 617 0.15428325533866882 160.1855010986328 159.35235595703125 None None None +10 618 0.15426895022392273 160.19418334960938 159.36109924316406 None None None +10 619 0.1542578786611557 160.18678283691406 159.35377502441406 None None None +10 620 0.1543455272912979 160.1912078857422 159.3577117919922 None None None +10 621 0.15432554483413696 160.21408081054688 159.38070678710938 None None None +10 622 0.15426692366600037 160.21664428710938 159.38357543945312 None None None +10 623 0.15430256724357605 160.2090301513672 159.37576293945312 None None None +10 624 0.15435568988323212 160.19972229003906 159.36618041992188 None None None +10 625 0.1543266475200653 160.19810485839844 159.36471557617188 None None None +10 626 0.15426936745643616 160.19216918945312 159.3590850830078 None None None +10 627 0.15421879291534424 160.2005615234375 159.36776733398438 None None None +10 628 0.1541261225938797 160.18673706054688 159.35443115234375 None None None +10 629 0.15402765572071075 160.18093872070312 159.3491668701172 None None None +10 630 0.1540103554725647 160.19793701171875 159.3662567138672 None None None +10 631 0.15402169525623322 160.18736267089844 159.35562133789062 None None None +10 632 0.1540462225675583 160.17779541015625 159.34591674804688 None None None +10 633 0.154026061296463 160.21994018554688 159.38818359375 None None None +10 634 0.15397267043590546 160.226806640625 159.39532470703125 None None None +10 635 0.1540071964263916 160.1961212158203 159.3644561767578 None None None +10 636 0.15411348640918732 160.19223022460938 159.3599853515625 None None None +10 637 0.1541711539030075 160.205810546875 159.3732452392578 None None None +10 638 0.15426677465438843 160.20803833007812 159.37496948242188 None None None +10 639 0.15420269966125488 160.1895294189453 159.3568115234375 None None None +10 640 0.1542281210422516 160.20127868652344 159.36842346191406 None None None +10 641 0.15429671108722687 160.20977783203125 159.3765411376953 None None None +10 642 0.15427790582180023 160.2012176513672 159.36810302734375 None None None +10 643 0.1542399823665619 160.1936798095703 159.3607635498047 None None None +10 644 0.15419752895832062 160.19886779785156 159.3661651611328 None None None +10 645 0.15424805879592896 160.20960998535156 159.37664794921875 None None None +10 646 0.15435601770877838 160.1922149658203 159.35865783691406 None None None +10 647 0.1543109267950058 160.1885223388672 159.355224609375 None None None +10 648 0.1543906331062317 160.17510986328125 159.34136962890625 None None None +10 649 0.15441325306892395 160.154296875 159.32044982910156 None None None +10 650 0.15439826250076294 160.17703247070312 159.34326171875 None None None +10 651 0.1543784737586975 160.17066955566406 159.3369903564453 None None None +10 652 0.154469296336174 160.17855834960938 159.34439086914062 None None None +10 653 0.15449786186218262 160.1732177734375 159.3389129638672 None None None +10 654 0.15452873706817627 160.18038940429688 159.34591674804688 None None None +10 655 0.15448889136314392 160.1892852783203 159.35501098632812 None None None +10 656 0.154391810297966 160.19610595703125 159.3623809814453 None None None +10 657 0.1543813943862915 160.19058227539062 159.35690307617188 None None None +10 658 0.15436169505119324 160.18057250976562 159.34698486328125 None None None +10 659 0.1544012427330017 160.17437744140625 159.34059143066406 None None None +10 660 0.1543290764093399 160.18663024902344 159.3532257080078 None None None +10 661 0.15445704758167267 160.21397399902344 159.37986755371094 None None None +10 662 0.15443108975887299 160.22494506835938 159.39097595214844 None None None +10 663 0.15446341037750244 160.21463012695312 159.3804931640625 None None None +10 664 0.15458057820796967 160.22630310058594 159.39154052734375 None None None +10 665 0.1545523703098297 160.21144104003906 159.3768310546875 None None None +10 666 0.1545928418636322 160.2150421142578 159.3802032470703 None None None +10 667 0.15470075607299805 160.21044921875 159.37503051757812 None None None +10 668 0.1546194702386856 160.20724487304688 159.3722686767578 None None None +10 669 0.15463922917842865 160.2063446044922 159.37127685546875 None None None +10 670 0.15455467998981476 160.1990203857422 159.36439514160156 None None None +10 671 0.15459181368350983 160.21640014648438 159.38157653808594 None None None +10 672 0.1544967144727707 160.21731567382812 159.3830108642578 None None None +10 673 0.15444177389144897 160.20077514648438 159.3667755126953 None None None +10 674 0.1544066071510315 160.18585205078125 159.35203552246094 None None None +10 675 0.1543613076210022 160.16802978515625 159.33447265625 None None None +10 676 0.15437407791614532 160.16551208496094 159.33187866210938 None None None +10 677 0.15438304841518402 160.1771240234375 159.34344482421875 None None None +10 678 0.1543731838464737 160.19532775878906 159.3616943359375 None None None +10 679 0.15441462397575378 160.20248413085938 159.36863708496094 None None None +10 680 0.15440502762794495 160.20681762695312 159.37303161621094 None None None +10 681 0.15435588359832764 160.22828674316406 159.39476013183594 None None None diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.bias_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..57a1ba22fa075bec17038cb91648202337a238fd --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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 15:11:38.957989: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:41.604817: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:41.608629: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 15:11:41.851426: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.39GiB deviceMemoryBandwidth: 1.41TiB/s +2023-07-14 15:11:41.851487: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:41.873045: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:41.873246: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:41.885238: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:41.890554: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:41.909050: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:41.913993: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:41.915033: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:41.936127: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:41.936629: 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 15:11:41.938345: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:41.942672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.39GiB deviceMemoryBandwidth: 1.41TiB/s +2023-07-14 15:11:41.942711: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:41.942736: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:41.942756: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:41.942776: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:41.942795: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:41.942814: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:41.942833: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:41.942852: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:41.955997: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:41.958680: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:43.732018: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 15:11:43.732176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 15:11:43.732189: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 15:11:43.738907: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37380 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +2023-07-14 15:11:44.576298: 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.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.bias_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..663dafdda91b411d51d5be03bed391c392e1ab40 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15/new_model_formats/bias_model_scaled diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet.params.json b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..64c15010ca9cd664a13229b80511b372f3dc2c29 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "5.4", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_data_params.tsv b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..72cdbbaf2fe2839ed9716552fdc839dfe9f52fc2 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 10.0 +counts_sum_max_thresh 280.0 +trainings_pts_post_thresh 47535 diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c134d2bad56052ffc1c2c4be749b7fdfc8de45d --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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 16:49:20.014967: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.727285: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.733662: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:49:23.779863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3f:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.779958: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.811251: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.811422: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.827445: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.835007: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.862648: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.869798: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.871424: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.873675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.874068: 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 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:49:23.875291: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.875723: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3f:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.875762: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.875798: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.875815: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.875831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.875848: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.875863: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.875879: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.875895: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.879012: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.880752: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:26.258681: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:49:26.258777: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:49:26.258794: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:49:26.262711: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30126 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:3f:00.0, compute capability: 7.0) +2023-07-14 16:49:29.208249: 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.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ec1ac7234aeb92b8848c3515f3f2fa933b34926 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15/new_model_formats/chrombpnet diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_model_params.tsv b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..994a10e8d4f5f639b90cc77c76fea6775e1dc372 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 5.4 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..82d9a40a1a3a0357ff68a58890a775fb2303488e --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15/new_model_formats/chrombpnet_wo_bias diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..82d9a40a1a3a0357ff68a58890a775fb2303488e --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15/new_model_formats/chrombpnet_wo_bias diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.epoch_loss.csv b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..21db55e5809660b1c32e80c0c846bcb18c3bf330 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.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 +0,1.5917967557907104,168.8966064453125,177.49234008789062,1.0014501810073853,171.3139190673828,176.7218017578125 +1,0.37893152236938477,167.3173828125,169.3636016845703,0.20459364354610443,170.47900390625,171.58377075195312 +2,0.21706800162792206,166.48814392089844,167.6603546142578,0.18239250779151917,170.21038818359375,171.1953125 +3,0.1933334916830063,165.67318725585938,166.7172088623047,0.16108648478984833,169.72451782226562,170.5943603515625 +4,0.18810710310935974,165.48675537109375,166.50259399414062,0.16494587063789368,169.91758728027344,170.80825805664062 +5,0.18519526720046997,164.95433044433594,165.95443725585938,0.15921850502490997,169.5859375,170.44564819335938 +6,0.17768797278404236,164.244140625,165.2036895751953,0.20290450751781464,169.5727996826172,170.6685333251953 +7,0.17337235808372498,163.57371520996094,164.50994873046875,0.23773334920406342,169.91787719726562,171.20166015625 +8,0.17462222278118134,163.05020141601562,163.99319458007812,0.1712217777967453,170.0488739013672,170.9734649658203 +9,0.1582237184047699,161.0601806640625,161.9145965576172,0.14309357106685638,170.6643524169922,171.43707275390625 +10,0.15435588359832764,159.39476013183594,160.22828674316406,0.1410629004240036,171.37425231933594,172.13600158691406 diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stderr.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff2626f0cc1b30be0acb04978d35ba91033e9f15 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stderr.txt @@ -0,0 +1,332 @@ +2022-03-25 12:11:37.169647: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:13:39.153227: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 12:13:39.155041: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 12:13:39.199347: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 12:13:39.199440: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:13:39.230048: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 12:13:39.230188: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 12:13:39.247377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 12:13:39.254994: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 12:13:39.283442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 12:13:39.291164: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 12:13:39.292929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 12:13:39.296249: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 12:13:39.296666: 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 12:13:39.296762: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 12:13:39.297092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 12:13:39.297136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:13:39.297167: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 12:13:39.297195: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 12:13:39.297222: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 12:13:39.297249: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 12:13:39.297275: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 12:13:39.297301: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 12:13:39.297328: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 12:13:39.297837: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 12:13:39.299757: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:13:41.436091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 12:13:41.436187: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 12:13:41.436206: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 12:13:41.442993: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10912 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:02:00.0, compute capability: 7.0) +2022-03-25 12:13:42.295635: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 12:13:42.306107: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399965000 Hz +2022-03-25 12:13:42.555302: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 12:13:43.936599: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 12:13:43.948258: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 12:14:04.411587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:14:06.657592: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 12:14:06.658806: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 12:14:06.697236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 12:14:06.697322: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:14:06.700528: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 12:14:06.700611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 12:14:06.701989: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 12:14:06.702231: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 12:14:06.705554: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 12:14:06.706267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 12:14:06.706441: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 12:14:06.707135: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 12:14:06.707492: 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 12:14:06.707606: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 12:14:06.707942: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 12:14:06.707995: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:14:06.708027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 12:14:06.708055: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 12:14:06.708081: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 12:14:06.708107: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 12:14:06.708132: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 12:14:06.708157: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 12:14:06.708183: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 12:14:06.708731: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 12:14:06.708773: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 12:14:07.343620: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 12:14:07.343682: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 12:14:07.343701: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 12:14:07.344675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10912 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:02:00.0, compute capability: 7.0) +2022-03-25 12:15:56.576725: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 12:15:56.577270: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399965000 Hz +2022-03-25 12:15:58.708932: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 12:15:59.016523: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 12:15:59.038129: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.2103s vs `on_train_batch_end` time: 0.2962s). Check your callbacks. +2022-03-25 13:30:29.527388: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:30:33.204823: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:30:33.206074: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 13:30:33.247490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:30:33.247590: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:30:33.250856: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:30:33.250924: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:30:33.253233: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:30:33.253527: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:30:33.256909: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:30:33.257644: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:30:33.257822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:30:33.258468: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:30:33.258846: 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 13:30:33.258942: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:30:33.259267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:30:33.259299: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:30:33.259328: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:30:33.259354: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:30:33.259380: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:30:33.259404: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:30:33.259429: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:30:33.259454: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:30:33.259479: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:30:33.259985: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:30:33.260027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:30:33.939647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 13:30:33.939739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 13:30:33.939758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 13:30:33.940778: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10912 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:02:00.0, compute capability: 7.0) +2022-03-25 13:31:13.047706: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 13:31:13.052368: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399965000 Hz +2022-03-25 13:31:13.177439: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:31:13.537654: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:31:13.540072: 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 13:33:13.260803: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:33:16.617686: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:33:16.618958: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 13:33:16.659671: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:33:16.659755: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:33:16.663036: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:33:16.663111: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:33:16.664499: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:33:16.664755: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:33:16.668093: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:33:16.668820: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:33:16.668996: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:33:16.670047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:33:16.670418: 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 13:33:16.670541: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:33:16.670869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:33:16.670902: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:33:16.670932: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:33:16.670958: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:33:16.670983: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:33:16.671008: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:33:16.671032: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:33:16.671057: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:33:16.671082: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:33:16.671605: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:33:16.671648: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:33:17.342488: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 13:33:17.342587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 13:33:17.342607: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 13:33:17.343638: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10912 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:02:00.0, compute capability: 7.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-03-25 13:33:49.918241: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 13:33:49.921411: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399965000 Hz +2022-03-25 13:33:50.002526: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:33:50.367840: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:33:50.369508: 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 13:35:43.476601: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:35:47.117589: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:35:47.118879: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 13:35:47.159490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:35:47.159586: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:35:47.162945: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:35:47.163072: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:35:47.164537: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:35:47.164840: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:35:47.168273: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:35:47.169084: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:35:47.169296: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:35:47.170025: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:35:47.170418: 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 13:35:47.170522: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:35:47.171667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:35:47.171710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:35:47.171755: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:35:47.171781: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:35:47.171829: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:35:47.171856: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:35:47.171880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:35:47.171904: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:35:47.171929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:35:47.172459: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:35:47.172502: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:35:47.860948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 13:35:47.861045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 13:35:47.861063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 13:35:47.862146: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10912 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:02:00.0, compute capability: 7.0) +2022-03-25 13:36:21.714057: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 13:36:21.716324: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399965000 Hz +2022-03-25 13:36:21.768971: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:36:22.131027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:36:22.132739: 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 13:37:02.381390: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:37:04.083434: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:37:04.084720: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 13:37:04.124365: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:37:04.124461: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:37:04.127692: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:37:04.127775: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:37:04.129179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:37:04.129435: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:37:04.132814: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:37:04.134402: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:37:04.134609: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:37:04.135246: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:37:04.135611: 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 13:37:04.135712: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:37:04.136033: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:37:04.136074: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:37:04.136102: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:37:04.136128: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:37:04.136154: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:37:04.136179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:37:04.136204: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:37:04.136229: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:37:04.136255: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:37:04.136754: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:37:04.136802: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:37:04.820664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 13:37:04.820778: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 13:37:04.820799: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 13:37:04.821792: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10912 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:02:00.0, compute capability: 7.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-03-25 13:37:12.425323: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 13:37:12.425974: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399965000 Hz +2022-03-25 13:37:12.717871: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:37:13.105282: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:37:13.107256: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:37:18.450649: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.96GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. +2022-03-25 13:37:18.451195: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.96GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. +2022-03-25 13:37:18.948789: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.77GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. +2022-03-25 13:37:18.949299: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.77GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//footprints’: File exists +2022-03-25 13:40:36.512443: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:40:38.138117: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:40:38.139342: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-03-25 13:40:38.179143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:40:38.179214: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:40:38.182398: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:40:38.182467: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:40:38.183862: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:40:38.184115: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:40:38.187493: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:40:38.188234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:40:38.188410: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:40:38.189078: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:40:38.189441: 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 13:40:38.189556: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-03-25 13:40:38.189875: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0 +coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s +2022-03-25 13:40:38.189915: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:40:38.189943: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:40:38.189969: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:40:38.189993: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-03-25 13:40:38.190018: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-03-25 13:40:38.190042: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-03-25 13:40:38.190066: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-03-25 13:40:38.190090: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-03-25 13:40:38.190604: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-03-25 13:40:38.190655: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-03-25 13:40:38.890885: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-03-25 13:40:38.890956: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-03-25 13:40:38.890973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-03-25 13:40:38.892001: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10912 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:02:00.0, compute capability: 7.0) +2022-03-25 13:40:46.320692: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-03-25 13:40:46.321305: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399965000 Hz +2022-03-25 13:40:46.518724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-03-25 13:40:46.906635: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-03-25 13:40:46.908618: 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.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stdout.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..56bd7db6494520dd2ae619c0ec1990757dd4e0e2 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stdout.txt @@ -0,0 +1,466 @@ +ATAC-seq +ATAC_PE +Fri Mar 25 12:11:35 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 TITAN V On | 00000000:02:00.0 Off | N/A | +| 36% 43C P8 27W / 250W | 0MiB / 12288MiB | 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 +2022-03-25_12-11-35: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//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: 44161 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 44161 +Number of peaks input: 12512 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 12512 +Number of non peaks input: 44161 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 44161 +Number of non peaks input: 12511 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 12511 +Number of peaks after removing outliers: 43673 +Number of nonpeaks after removing outliers: 38504 +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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--genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(39678, 10) +loading nonpeaks... +got split:train for bed regions:(34890, 10) +loading peaks... +got split:valid for bed regions:(3995, 10) +loading nonpeaks... +got split:valid for bed regions:(3614, 10) +Epoch 1/50 + 1/682 [..............................] - ETA: 1:45:54 - loss: 193.4799 - logits_profile_predictions_loss: 186.8640 - logcount_predictions_loss: 1.2252 2/682 [..............................] - ETA: 6:25 - loss: 698.9249 - logits_profile_predictions_loss: 184.0048 - logcount_predictions_loss: 95.3556  3/682 [..............................] - ETA: 6:25 - loss: 753.2092 - logits_profile_predictions_loss: 181.9882 - logcount_predictions_loss: 105.7817 4/682 [..............................] - ETA: 6:24 - loss: 737.8148 - logits_profile_predictions_loss: 180.7995 - logcount_predictions_loss: 103.1510 5/682 [..............................] - ETA: 6:23 - loss: 707.8183 - logits_profile_predictions_loss: 179.7045 - logcount_predictions_loss: 97.7989  6/682 [..............................] - ETA: 6:22 - loss: 675.7976 - logits_profile_predictions_loss: 178.3052 - logcount_predictions_loss: 92.1282 7/682 [..............................] - ETA: 6:21 - loss: 646.2190 - logits_profile_predictions_loss: 177.4899 - logcount_predictions_loss: 86.8017 8/682 [..............................] - ETA: 6:21 - loss: 619.5633 - logits_profile_predictions_loss: 176.9361 - logcount_predictions_loss: 81.9680 9/682 [..............................] - ETA: 6:20 - loss: 595.7519 - logits_profile_predictions_loss: 176.5602 - logcount_predictions_loss: 77.6281 10/682 [..............................] - ETA: 6:19 - loss: 574.3606 - logits_profile_predictions_loss: 176.1866 - logcount_predictions_loss: 73.7359 11/682 [..............................] - ETA: 6:19 - loss: 555.1174 - logits_profile_predictions_loss: 175.8240 - logcount_predictions_loss: 70.2395 12/682 [..............................] - ETA: 6:18 - loss: 537.7178 - logits_profile_predictions_loss: 175.4451 - logcount_predictions_loss: 67.0875 13/682 [..............................] - ETA: 6:17 - loss: 522.0002 - logits_profile_predictions_loss: 175.1312 - logcount_predictions_loss: 64.2350 14/682 [..............................] - ETA: 6:17 - loss: 507.6736 - logits_profile_predictions_loss: 174.8088 - logcount_predictions_loss: 61.6416 15/682 [..............................] - ETA: 6:16 - loss: 494.6290 - logits_profile_predictions_loss: 174.5446 - logcount_predictions_loss: 59.2749 16/682 [..............................] - ETA: 6:16 - loss: 482.6801 - logits_profile_predictions_loss: 174.3107 - logcount_predictions_loss: 57.1055 17/682 [..............................] - ETA: 6:15 - loss: 471.6428 - logits_profile_predictions_loss: 174.0523 - logcount_predictions_loss: 55.1094 18/682 [..............................] - ETA: 6:14 - loss: 461.4639 - logits_profile_predictions_loss: 173.8240 - logcount_predictions_loss: 53.2666 19/682 [..............................] - ETA: 6:14 - loss: 452.0368 - logits_profile_predictions_loss: 173.6136 - logcount_predictions_loss: 51.5598 20/682 [..............................] - ETA: 6:13 - loss: 443.3076 - logits_profile_predictions_loss: 173.4448 - logcount_predictions_loss: 49.9746 21/682 [..............................] - ETA: 6:13 - loss: 435.1525 - logits_profile_predictions_loss: 173.2669 - logcount_predictions_loss: 48.4973 22/682 [..............................] - ETA: 6:12 - loss: 427.5480 - logits_profile_predictions_loss: 173.1136 - logcount_predictions_loss: 47.1175 23/682 [>.............................] - ETA: 6:12 - loss: 420.4534 - logits_profile_predictions_loss: 172.9946 - logcount_predictions_loss: 45.8257 24/682 [>.............................] - ETA: 6:11 - loss: 413.7845 - logits_profile_predictions_loss: 172.8749 - logcount_predictions_loss: 44.6129 25/682 [>.............................] - ETA: 6:10 - loss: 407.5063 - logits_profile_predictions_loss: 172.7586 - logcount_predictions_loss: 43.4718 26/682 [>.............................] - ETA: 6:10 - loss: 401.5852 - logits_profile_predictions_loss: 172.6458 - logcount_predictions_loss: 42.3962 27/682 [>.............................] - ETA: 6:09 - loss: 395.9913 - logits_profile_predictions_loss: 172.5375 - logcount_predictions_loss: 41.3803 28/682 [>.............................] - ETA: 6:09 - loss: 390.6922 - logits_profile_predictions_loss: 172.4289 - logcount_predictions_loss: 40.4191 29/682 [>.............................] - ETA: 6:08 - loss: 385.6656 - logits_profile_predictions_loss: 172.3220 - logcount_predictions_loss: 39.5081 30/682 [>.............................] - ETA: 6:08 - loss: 380.8958 - logits_profile_predictions_loss: 172.2215 - logcount_predictions_loss: 38.6434 31/682 [>.............................] - ETA: 6:07 - loss: 376.3722 - logits_profile_predictions_loss: 172.1351 - logcount_predictions_loss: 37.8217 32/682 [>.............................] - ETA: 6:07 - loss: 372.0970 - logits_profile_predictions_loss: 172.0814 - logcount_predictions_loss: 37.0399 33/682 [>.............................] - ETA: 6:06 - loss: 368.0241 - logits_profile_predictions_loss: 172.0323 - logcount_predictions_loss: 36.2948 34/682 [>.............................] - ETA: 6:05 - loss: 364.1436 - logits_profile_predictions_loss: 171.9918 - logcount_predictions_loss: 35.5837 35/682 [>.............................] - ETA: 6:05 - loss: 360.4373 - logits_profile_predictions_loss: 171.9548 - logcount_predictions_loss: 34.9042 36/682 [>.............................] - ETA: 6:04 - loss: 356.8824 - logits_profile_predictions_loss: 171.9111 - logcount_predictions_loss: 34.2539 37/682 [>.............................] - ETA: 6:04 - loss: 353.4860 - logits_profile_predictions_loss: 171.8767 - logcount_predictions_loss: 33.6314 38/682 [>.............................] - ETA: 6:03 - loss: 350.2307 - logits_profile_predictions_loss: 171.8441 - logcount_predictions_loss: 33.0346 39/682 [>.............................] - ETA: 6:03 - loss: 347.1082 - logits_profile_predictions_loss: 171.8138 - logcount_predictions_loss: 32.4619 40/682 [>.............................] - ETA: 6:02 - loss: 344.1070 - logits_profile_predictions_loss: 171.7828 - logcount_predictions_loss: 31.9119 41/682 [>.............................] - ETA: 6:02 - loss: 341.2216 - logits_profile_predictions_loss: 171.7530 - logcount_predictions_loss: 31.3831 42/682 [>.............................] - ETA: 6:01 - loss: 338.4440 - logits_profile_predictions_loss: 171.7234 - logcount_predictions_loss: 30.8742 43/682 [>.............................] - ETA: 6:00 - loss: 335.7712 - logits_profile_predictions_loss: 171.6970 - logcount_predictions_loss: 30.3841 44/682 [>.............................] - ETA: 6:00 - loss: 333.1986 - logits_profile_predictions_loss: 171.6749 - logcount_predictions_loss: 29.9118 45/682 [>.............................] - ETA: 5:59 - loss: 330.7197 - logits_profile_predictions_loss: 171.6558 - logcount_predictions_loss: 29.4563 46/682 [=>............................] - ETA: 5:59 - loss: 328.3246 - logits_profile_predictions_loss: 171.6349 - logcount_predictions_loss: 29.0166 47/682 [=>............................] - ETA: 5:58 - loss: 326.0158 - logits_profile_predictions_loss: 171.6188 - logcount_predictions_loss: 28.5920 48/682 [=>............................] - ETA: 5:58 - loss: 323.7880 - logits_profile_predictions_loss: 171.6068 - logcount_predictions_loss: 28.1817 49/682 [=>............................] - ETA: 5:57 - loss: 321.6279 - logits_profile_predictions_loss: 171.5900 - logcount_predictions_loss: 27.7848 50/682 [=>............................] - ETA: 5:56 - loss: 319.5356 - logits_profile_predictions_loss: 171.5719 - logcount_predictions_loss: 27.4007 51/682 [=>............................] - ETA: 5:56 - loss: 317.5141 - logits_profile_predictions_loss: 171.5586 - logcount_predictions_loss: 27.0288 52/682 [=>............................] - ETA: 5:55 - loss: 315.5574 - logits_profile_predictions_loss: 171.5475 - logcount_predictions_loss: 26.6685 53/682 [=>............................] - ETA: 5:55 - loss: 313.6661 - logits_profile_predictions_loss: 171.5418 - logcount_predictions_loss: 26.3193 54/682 [=>............................] - ETA: 5:54 - loss: 311.8363 - logits_profile_predictions_loss: 171.5405 - logcount_predictions_loss: 25.9807 55/682 [=>............................] - ETA: 5:54 - loss: 310.0534 - logits_profile_predictions_loss: 171.5325 - logcount_predictions_loss: 25.6520 56/682 [=>............................] - ETA: 5:53 - loss: 308.3197 - logits_profile_predictions_loss: 171.5225 - logcount_predictions_loss: 25.3328 57/682 [=>............................] - ETA: 5:53 - loss: 306.6343 - logits_profile_predictions_loss: 171.5116 - logcount_predictions_loss: 25.0227 58/682 [=>............................] - ETA: 5:52 - loss: 305.0019 - logits_profile_predictions_loss: 171.5060 - logcount_predictions_loss: 24.7215 59/682 [=>............................] - ETA: 5:51 - loss: 303.4134 - logits_profile_predictions_loss: 171.4993 - logcount_predictions_loss: 24.4285 60/682 [=>............................] - ETA: 5:51 - loss: 301.8698 - logits_profile_predictions_loss: 171.4944 - logcount_predictions_loss: 24.1436 61/682 [=>............................] - ETA: 5:50 - loss: 300.3701 - logits_profile_predictions_loss: 171.4918 - logcount_predictions_loss: 23.8663 62/682 [=>............................] - ETA: 5:50 - loss: 298.9117 - logits_profile_predictions_loss: 171.4910 - logcount_predictions_loss: 23.5964 63/682 [=>............................] - ETA: 5:49 - loss: 297.4885 - logits_profile_predictions_loss: 171.4874 - logcount_predictions_loss: 23.3335 64/682 [=>............................] - ETA: 5:49 - loss: 296.0973 - logits_profile_predictions_loss: 171.4798 - logcount_predictions_loss: 23.0773 65/682 [=>............................] - ETA: 5:48 - loss: 294.7408 - logits_profile_predictions_loss: 171.4718 - logcount_predictions_loss: 22.8276 66/682 [=>............................] - ETA: 5:48 - loss: 293.4179 - logits_profile_predictions_loss: 171.4637 - logcount_predictions_loss: 22.5841 67/682 [=>............................] - ETA: 5:47 - loss: 292.1283 - logits_profile_predictions_loss: 171.4564 - logcount_predictions_loss: 22.3466 68/682 [=>............................] - ETA: 5:46 - loss: 290.8653 - logits_profile_predictions_loss: 171.4450 - logcount_predictions_loss: 22.1149 69/682 [==>...........................] - ETA: 5:46 - loss: 289.6349 - logits_profile_predictions_loss: 171.4359 - logcount_predictions_loss: 21.8887 70/682 [==>...........................] - ETA: 5:45 - loss: 288.4303 - logits_profile_predictions_loss: 171.4239 - logcount_predictions_loss: 21.6678 71/682 [==>...........................] - ETA: 5:45 - loss: 287.2558 - logits_profile_predictions_loss: 171.4141 - logcount_predictions_loss: 21.4522 72/682 [==>...........................] - ETA: 5:44 - loss: 286.1080 - logits_profile_predictions_loss: 171.4041 - logcount_predictions_loss: 21.2415 73/682 [==>...........................] - ETA: 5:44 - loss: 284.9874 - logits_profile_predictions_loss: 171.3955 - logcount_predictions_loss: 21.0355 74/682 [==>...........................] - ETA: 5:43 - loss: 283.8963 - logits_profile_predictions_loss: 171.3910 - logcount_predictions_loss: 20.8343 75/682 [==>...........................] - ETA: 5:42 - loss: 282.8265 - logits_profile_predictions_loss: 171.3840 - logcount_predictions_loss: 20.6375 76/682 [==>...........................] - ETA: 5:42 - loss: 281.7837 - logits_profile_predictions_loss: 171.3804 - logcount_predictions_loss: 20.4450 77/682 [==>...........................] - ETA: 5:41 - loss: 280.7636 - logits_profile_predictions_loss: 171.3773 - logcount_predictions_loss: 20.2567 78/682 [==>...........................] - ETA: 5:41 - loss: 279.7608 - logits_profile_predictions_loss: 171.3700 - logcount_predictions_loss: 20.0724 79/682 [==>...........................] - ETA: 5:40 - loss: 278.7776 - logits_profile_predictions_loss: 171.3614 - logcount_predictions_loss: 19.8919 80/682 [==>...........................] - ETA: 5:40 - loss: 277.8165 - logits_profile_predictions_loss: 171.3545 - logcount_predictions_loss: 19.7152 81/682 [==>...........................] - ETA: 5:39 - loss: 276.8747 - logits_profile_predictions_loss: 171.3471 - logcount_predictions_loss: 19.5422 82/682 [==>...........................] - ETA: 5:39 - loss: 275.9521 - logits_profile_predictions_loss: 171.3399 - logcount_predictions_loss: 19.3726 83/682 [==>...........................] - ETA: 5:38 - loss: 275.0482 - logits_profile_predictions_loss: 171.3329 - logcount_predictions_loss: 19.2065 84/682 [==>...........................] - ETA: 5:37 - loss: 274.1631 - logits_profile_predictions_loss: 171.3268 - logcount_predictions_loss: 19.0438 85/682 [==>...........................] - ETA: 5:37 - loss: 273.2942 - logits_profile_predictions_loss: 171.3197 - logcount_predictions_loss: 18.8842 86/682 [==>...........................] - ETA: 5:36 - loss: 272.4451 - logits_profile_predictions_loss: 171.3154 - logcount_predictions_loss: 18.7277 87/682 [==>...........................] - ETA: 5:36 - loss: 271.6115 - logits_profile_predictions_loss: 171.3104 - logcount_predictions_loss: 18.5743 88/682 [==>...........................] - ETA: 5:35 - loss: 270.7948 - logits_profile_predictions_loss: 171.3063 - logcount_predictions_loss: 18.4238 89/682 [==>...........................] - ETA: 5:35 - loss: 269.9915 - logits_profile_predictions_loss: 171.3005 - logcount_predictions_loss: 18.2761 90/682 [==>...........................] - ETA: 5:34 - loss: 269.2006 - logits_profile_predictions_loss: 171.2924 - logcount_predictions_loss: 18.1312 91/682 [===>..........................] - ETA: 5:33 - loss: 268.4239 - logits_profile_predictions_loss: 171.2841 - logcount_predictions_loss: 17.9889 92/682 [===>..........................] - ETA: 5:33 - loss: 267.6617 - logits_profile_predictions_loss: 171.2762 - logcount_predictions_loss: 17.8492 93/682 [===>..........................] - ETA: 5:32 - loss: 266.9140 - logits_profile_predictions_loss: 171.2691 - logcount_predictions_loss: 17.7120 94/682 [===>..........................] - ETA: 5:32 - loss: 266.1801 - logits_profile_predictions_loss: 171.2625 - logcount_predictions_loss: 17.5773 95/682 [===>..........................] - ETA: 5:31 - loss: 265.4596 - logits_profile_predictions_loss: 171.2563 - logcount_predictions_loss: 17.4451 96/682 [===>..........................] - ETA: 5:31 - loss: 264.7519 - logits_profile_predictions_loss: 171.2504 - logcount_predictions_loss: 17.3151 97/682 [===>..........................] - ETA: 5:30 - loss: 264.0573 - logits_profile_predictions_loss: 171.2453 - logcount_predictions_loss: 17.1874 98/682 [===>..........................] - ETA: 5:30 - loss: 263.3750 - logits_profile_predictions_loss: 171.2406 - logcount_predictions_loss: 17.0619 99/682 [===>..........................] - ETA: 5:29 - loss: 262.7052 - logits_profile_predictions_loss: 171.2368 - logcount_predictions_loss: 16.9386 100/682 [===>..........................] - ETA: 5:28 - loss: 262.0465 - logits_profile_predictions_loss: 171.2328 - logcount_predictions_loss: 16.8174 101/682 [===>..........................] - ETA: 5:28 - loss: 261.3986 - logits_profile_predictions_loss: 171.2287 - logcount_predictions_loss: 16.6981 102/682 [===>..........................] - ETA: 5:27 - loss: 260.7623 - logits_profile_predictions_loss: 171.2253 - logcount_predictions_loss: 16.5809 103/682 [===>..........................] - ETA: 5:27 - loss: 260.1362 - logits_profile_predictions_loss: 171.2218 - logcount_predictions_loss: 16.4656 104/682 [===>..........................] - ETA: 5:26 - loss: 259.5204 - logits_profile_predictions_loss: 171.2185 - logcount_predictions_loss: 16.3522 105/682 [===>..........................] - ETA: 5:26 - loss: 258.9147 - logits_profile_predictions_loss: 171.2154 - logcount_predictions_loss: 16.2406 106/682 [===>..........................] - ETA: 5:25 - loss: 258.3169 - logits_profile_predictions_loss: 171.2107 - logcount_predictions_loss: 16.1308 107/682 [===>..........................] - ETA: 5:24 - loss: 257.7309 - logits_profile_predictions_loss: 171.2081 - logcount_predictions_loss: 16.0227 108/682 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[============================>.] - ETA: 3s - loss: 193.8533 - logits_profile_predictions_loss: 169.8637 - logcount_predictions_loss: 4.4425 676/682 [============================>.] - ETA: 3s - loss: 193.8292 - logits_profile_predictions_loss: 169.8622 - logcount_predictions_loss: 4.4383 677/682 [============================>.] - ETA: 2s - loss: 193.8051 - logits_profile_predictions_loss: 169.8608 - logcount_predictions_loss: 4.4341 678/682 [============================>.] - ETA: 2s - loss: 193.7811 - logits_profile_predictions_loss: 169.8594 - logcount_predictions_loss: 4.4299 679/682 [============================>.] - ETA: 1s - loss: 193.7571 - logits_profile_predictions_loss: 169.8579 - logcount_predictions_loss: 4.4258 680/682 [============================>.] - ETA: 1s - loss: 193.7331 - logits_profile_predictions_loss: 169.8565 - logcount_predictions_loss: 4.4216 681/682 [============================>.] - ETA: 0s - loss: 193.7093 - logits_profile_predictions_loss: 169.8551 - 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- logits_profile_predictions_loss: 172.2597 - logcount_predictions_loss: 1.0513 4/682 [..............................] - ETA: 6:23 - loss: 177.6628 - logits_profile_predictions_loss: 172.0158 - logcount_predictions_loss: 1.0457 5/682 [..............................] - ETA: 6:22 - loss: 176.9133 - logits_profile_predictions_loss: 171.3364 - logcount_predictions_loss: 1.0328 6/682 [..............................] - ETA: 6:21 - loss: 176.4990 - logits_profile_predictions_loss: 170.9667 - logcount_predictions_loss: 1.0245 7/682 [..............................] - ETA: 6:21 - loss: 176.0094 - logits_profile_predictions_loss: 170.5195 - logcount_predictions_loss: 1.0167 8/682 [..............................] - ETA: 6:20 - loss: 175.5850 - logits_profile_predictions_loss: 170.1302 - logcount_predictions_loss: 1.0101 9/682 [..............................] - ETA: 6:20 - loss: 175.2285 - logits_profile_predictions_loss: 169.8082 - logcount_predictions_loss: 1.0038 10/682 [..............................] - ETA: 6:19 - loss: 174.9343 - logits_profile_predictions_loss: 169.5389 - logcount_predictions_loss: 0.9991 11/682 [..............................] - ETA: 6:19 - loss: 174.7216 - logits_profile_predictions_loss: 169.3484 - logcount_predictions_loss: 0.9950 12/682 [..............................] - ETA: 6:19 - loss: 174.6166 - logits_profile_predictions_loss: 169.2557 - logcount_predictions_loss: 0.9928 13/682 [..............................] - ETA: 6:18 - loss: 174.5154 - logits_profile_predictions_loss: 169.1630 - logcount_predictions_loss: 0.9912 14/682 [..............................] - ETA: 6:18 - loss: 174.4422 - logits_profile_predictions_loss: 169.0939 - logcount_predictions_loss: 0.9904 15/682 [..............................] - ETA: 6:17 - loss: 174.3425 - logits_profile_predictions_loss: 168.9970 - logcount_predictions_loss: 0.9899 16/682 [..............................] - ETA: 6:17 - loss: 174.2749 - logits_profile_predictions_loss: 168.9302 - logcount_predictions_loss: 0.9897 17/682 [..............................] - ETA: 6:16 - loss: 174.1628 - logits_profile_predictions_loss: 168.8221 - logcount_predictions_loss: 0.9890 18/682 [..............................] - ETA: 6:15 - loss: 174.0860 - logits_profile_predictions_loss: 168.7469 - logcount_predictions_loss: 0.9887 19/682 [..............................] - ETA: 6:15 - loss: 174.0051 - logits_profile_predictions_loss: 168.6690 - logcount_predictions_loss: 0.9882 20/682 [..............................] - ETA: 6:14 - loss: 173.8741 - logits_profile_predictions_loss: 168.5442 - logcount_predictions_loss: 0.9870 21/682 [..............................] - ETA: 6:14 - loss: 173.7890 - logits_profile_predictions_loss: 168.4614 - logcount_predictions_loss: 0.9866 22/682 [..............................] - ETA: 6:13 - loss: 173.6986 - logits_profile_predictions_loss: 168.3745 - logcount_predictions_loss: 0.9860 23/682 [>.............................] - ETA: 6:12 - loss: 173.5984 - logits_profile_predictions_loss: 168.2794 - logcount_predictions_loss: 0.9850 24/682 [>.............................] - ETA: 6:12 - loss: 173.4951 - logits_profile_predictions_loss: 168.1818 - logcount_predictions_loss: 0.9840 25/682 [>.............................] - ETA: 6:11 - loss: 173.3998 - logits_profile_predictions_loss: 168.0925 - logcount_predictions_loss: 0.9828 26/682 [>.............................] - ETA: 6:11 - loss: 173.2997 - logits_profile_predictions_loss: 167.9993 - logcount_predictions_loss: 0.9815 27/682 [>.............................] - ETA: 6:10 - loss: 173.1971 - logits_profile_predictions_loss: 167.9035 - logcount_predictions_loss: 0.9803 28/682 [>.............................] - ETA: 6:09 - loss: 173.1024 - logits_profile_predictions_loss: 167.8154 - logcount_predictions_loss: 0.9791 29/682 [>.............................] - ETA: 6:09 - loss: 173.0217 - logits_profile_predictions_loss: 167.7400 - logcount_predictions_loss: 0.9781 30/682 [>.............................] - ETA: 6:08 - loss: 172.9410 - logits_profile_predictions_loss: 167.6644 - logcount_predictions_loss: 0.9771 31/682 [>.............................] - ETA: 6:08 - loss: 172.8609 - logits_profile_predictions_loss: 167.5895 - logcount_predictions_loss: 0.9762 32/682 [>.............................] - ETA: 6:07 - loss: 172.7836 - logits_profile_predictions_loss: 167.5176 - logcount_predictions_loss: 0.9752 33/682 [>.............................] - ETA: 6:07 - loss: 172.7095 - logits_profile_predictions_loss: 167.4489 - logcount_predictions_loss: 0.9742 34/682 [>.............................] - ETA: 6:06 - loss: 172.6579 - logits_profile_predictions_loss: 167.4010 - logcount_predictions_loss: 0.9735 35/682 [>.............................] - ETA: 6:05 - loss: 172.6216 - logits_profile_predictions_loss: 167.3674 - logcount_predictions_loss: 0.9730 36/682 [>.............................] - ETA: 6:05 - loss: 172.5943 - logits_profile_predictions_loss: 167.3422 - logcount_predictions_loss: 0.9726 37/682 [>.............................] - ETA: 6:04 - loss: 172.5636 - logits_profile_predictions_loss: 167.3141 - logcount_predictions_loss: 0.9721 38/682 [>.............................] - ETA: 6:04 - loss: 172.5414 - logits_profile_predictions_loss: 167.2938 - logcount_predictions_loss: 0.9718 39/682 [>.............................] - ETA: 6:03 - loss: 172.5118 - logits_profile_predictions_loss: 167.2664 - logcount_predictions_loss: 0.9714 40/682 [>.............................] - ETA: 6:03 - loss: 172.4877 - logits_profile_predictions_loss: 167.2442 - logcount_predictions_loss: 0.9710 41/682 [>.............................] - ETA: 6:02 - loss: 172.4597 - logits_profile_predictions_loss: 167.2186 - logcount_predictions_loss: 0.9706 42/682 [>.............................] - ETA: 6:01 - loss: 172.4381 - logits_profile_predictions_loss: 167.1986 - logcount_predictions_loss: 0.9703 43/682 [>.............................] - ETA: 6:01 - loss: 172.4053 - logits_profile_predictions_loss: 167.1683 - logcount_predictions_loss: 0.9698 44/682 [>.............................] - ETA: 6:00 - loss: 172.3791 - logits_profile_predictions_loss: 167.1440 - logcount_predictions_loss: 0.9695 45/682 [>.............................] - ETA: 6:00 - loss: 172.3566 - logits_profile_predictions_loss: 167.1230 - logcount_predictions_loss: 0.9692 46/682 [=>............................] - ETA: 5:59 - loss: 172.3401 - logits_profile_predictions_loss: 167.1075 - logcount_predictions_loss: 0.9690 47/682 [=>............................] - ETA: 5:59 - loss: 172.3176 - logits_profile_predictions_loss: 167.0864 - logcount_predictions_loss: 0.9687 48/682 [=>............................] - ETA: 5:58 - loss: 172.3019 - logits_profile_predictions_loss: 167.0715 - logcount_predictions_loss: 0.9686 49/682 [=>............................] - ETA: 5:57 - loss: 172.2806 - logits_profile_predictions_loss: 167.0516 - logcount_predictions_loss: 0.9683 50/682 [=>............................] - ETA: 5:57 - loss: 172.2621 - logits_profile_predictions_loss: 167.0342 - logcount_predictions_loss: 0.9681 51/682 [=>............................] - ETA: 5:56 - loss: 172.2441 - logits_profile_predictions_loss: 167.0174 - logcount_predictions_loss: 0.9679 52/682 [=>............................] - ETA: 5:56 - loss: 172.2279 - logits_profile_predictions_loss: 167.0023 - logcount_predictions_loss: 0.9677 53/682 [=>............................] - ETA: 5:55 - loss: 172.2112 - logits_profile_predictions_loss: 166.9868 - logcount_predictions_loss: 0.9675 54/682 [=>............................] - ETA: 5:55 - loss: 172.1922 - logits_profile_predictions_loss: 166.9692 - logcount_predictions_loss: 0.9672 55/682 [=>............................] - ETA: 5:54 - loss: 172.1740 - logits_profile_predictions_loss: 166.9522 - logcount_predictions_loss: 0.9670 56/682 [=>............................] - ETA: 5:53 - loss: 172.1541 - logits_profile_predictions_loss: 166.9336 - logcount_predictions_loss: 0.9667 57/682 [=>............................] - ETA: 5:53 - loss: 172.1342 - logits_profile_predictions_loss: 166.9152 - logcount_predictions_loss: 0.9665 58/682 [=>............................] - ETA: 5:52 - loss: 172.1142 - logits_profile_predictions_loss: 166.8964 - logcount_predictions_loss: 0.9663 59/682 [=>............................] - ETA: 5:52 - loss: 172.0924 - logits_profile_predictions_loss: 166.8761 - logcount_predictions_loss: 0.9660 60/682 [=>............................] - ETA: 5:51 - loss: 172.0718 - logits_profile_predictions_loss: 166.8569 - logcount_predictions_loss: 0.9657 61/682 [=>............................] - ETA: 5:51 - loss: 172.0540 - logits_profile_predictions_loss: 166.8403 - logcount_predictions_loss: 0.9655 62/682 [=>............................] - ETA: 5:50 - loss: 172.0387 - logits_profile_predictions_loss: 166.8261 - logcount_predictions_loss: 0.9653 63/682 [=>............................] - ETA: 5:49 - loss: 172.0263 - logits_profile_predictions_loss: 166.8147 - logcount_predictions_loss: 0.9651 64/682 [=>............................] - ETA: 5:49 - loss: 172.0179 - logits_profile_predictions_loss: 166.8068 - logcount_predictions_loss: 0.9650 65/682 [=>............................] - ETA: 5:48 - loss: 172.0149 - logits_profile_predictions_loss: 166.8041 - logcount_predictions_loss: 0.9650 66/682 [=>............................] - ETA: 5:48 - loss: 172.0102 - logits_profile_predictions_loss: 166.7996 - logcount_predictions_loss: 0.9649 67/682 [=>............................] - ETA: 5:47 - loss: 172.0035 - logits_profile_predictions_loss: 166.7934 - logcount_predictions_loss: 0.9648 68/682 [=>............................] - ETA: 5:47 - loss: 171.9958 - logits_profile_predictions_loss: 166.7862 - logcount_predictions_loss: 0.9647 69/682 [==>...........................] - ETA: 5:46 - loss: 171.9870 - logits_profile_predictions_loss: 166.7779 - logcount_predictions_loss: 0.9646 70/682 [==>...........................] - ETA: 5:46 - loss: 171.9788 - logits_profile_predictions_loss: 166.7703 - logcount_predictions_loss: 0.9645 71/682 [==>...........................] - ETA: 5:45 - loss: 171.9722 - logits_profile_predictions_loss: 166.7641 - logcount_predictions_loss: 0.9645 72/682 [==>...........................] - ETA: 5:44 - loss: 171.9638 - logits_profile_predictions_loss: 166.7564 - logcount_predictions_loss: 0.9643 73/682 [==>...........................] - ETA: 5:44 - loss: 171.9576 - logits_profile_predictions_loss: 166.7508 - logcount_predictions_loss: 0.9642 74/682 [==>...........................] - ETA: 5:43 - loss: 171.9528 - logits_profile_predictions_loss: 166.7464 - logcount_predictions_loss: 0.9641 75/682 [==>...........................] - ETA: 5:43 - loss: 171.9467 - logits_profile_predictions_loss: 166.7409 - logcount_predictions_loss: 0.9641 76/682 [==>...........................] - ETA: 5:42 - loss: 171.9437 - logits_profile_predictions_loss: 166.7381 - logcount_predictions_loss: 0.9640 77/682 [==>...........................] - ETA: 5:42 - loss: 171.9427 - logits_profile_predictions_loss: 166.7373 - logcount_predictions_loss: 0.9640 78/682 [==>...........................] - ETA: 5:41 - loss: 171.9416 - logits_profile_predictions_loss: 166.7363 - logcount_predictions_loss: 0.9639 79/682 [==>...........................] - ETA: 5:40 - loss: 171.9413 - logits_profile_predictions_loss: 166.7361 - logcount_predictions_loss: 0.9639 80/682 [==>...........................] - ETA: 5:40 - loss: 171.9406 - logits_profile_predictions_loss: 166.7354 - logcount_predictions_loss: 0.9639 81/682 [==>...........................] - ETA: 5:39 - loss: 171.9413 - logits_profile_predictions_loss: 166.7362 - logcount_predictions_loss: 0.9639 82/682 [==>...........................] - ETA: 5:39 - loss: 171.9412 - logits_profile_predictions_loss: 166.7362 - logcount_predictions_loss: 0.9639 83/682 [==>...........................] - ETA: 5:38 - loss: 171.9386 - logits_profile_predictions_loss: 166.7338 - logcount_predictions_loss: 0.9639 84/682 [==>...........................] - ETA: 5:38 - loss: 171.9341 - logits_profile_predictions_loss: 166.7297 - logcount_predictions_loss: 0.9638 85/682 [==>...........................] - ETA: 5:37 - loss: 171.9297 - logits_profile_predictions_loss: 166.7256 - logcount_predictions_loss: 0.9637 86/682 [==>...........................] - ETA: 5:37 - loss: 171.9253 - logits_profile_predictions_loss: 166.7216 - logcount_predictions_loss: 0.9637 87/682 [==>...........................] - ETA: 5:36 - loss: 171.9198 - logits_profile_predictions_loss: 166.7167 - logcount_predictions_loss: 0.9635 88/682 [==>...........................] - ETA: 5:35 - loss: 171.9150 - logits_profile_predictions_loss: 166.7124 - logcount_predictions_loss: 0.9635 89/682 [==>...........................] - ETA: 5:35 - loss: 171.9103 - logits_profile_predictions_loss: 166.7082 - logcount_predictions_loss: 0.9634 90/682 [==>...........................] - ETA: 5:34 - loss: 171.9056 - logits_profile_predictions_loss: 166.7040 - logcount_predictions_loss: 0.9633 91/682 [===>..........................] - ETA: 5:34 - loss: 171.9002 - logits_profile_predictions_loss: 166.6993 - logcount_predictions_loss: 0.9631 92/682 [===>..........................] - ETA: 5:33 - loss: 171.8950 - logits_profile_predictions_loss: 166.6947 - logcount_predictions_loss: 0.9630 93/682 [===>..........................] - ETA: 5:33 - loss: 171.8905 - logits_profile_predictions_loss: 166.6909 - logcount_predictions_loss: 0.9629 94/682 [===>..........................] - ETA: 5:32 - loss: 171.8839 - logits_profile_predictions_loss: 166.6851 - logcount_predictions_loss: 0.9628 95/682 [===>..........................] - ETA: 5:31 - loss: 171.8786 - logits_profile_predictions_loss: 166.6805 - logcount_predictions_loss: 0.9626 96/682 [===>..........................] - ETA: 5:31 - loss: 171.8733 - logits_profile_predictions_loss: 166.6759 - logcount_predictions_loss: 0.9625 97/682 [===>..........................] - ETA: 5:30 - loss: 171.8704 - logits_profile_predictions_loss: 166.6736 - logcount_predictions_loss: 0.9624 98/682 [===>..........................] - ETA: 5:30 - loss: 171.8695 - logits_profile_predictions_loss: 166.6731 - logcount_predictions_loss: 0.9623 99/682 [===>..........................] - ETA: 5:29 - loss: 171.8696 - logits_profile_predictions_loss: 166.6736 - logcount_predictions_loss: 0.9622 100/682 [===>..........................] - ETA: 5:29 - loss: 171.8693 - logits_profile_predictions_loss: 166.6738 - logcount_predictions_loss: 0.9621 101/682 [===>..........................] - ETA: 5:28 - loss: 171.8701 - logits_profile_predictions_loss: 166.6749 - logcount_predictions_loss: 0.9621 102/682 [===>..........................] - ETA: 5:27 - loss: 171.8707 - logits_profile_predictions_loss: 166.6758 - logcount_predictions_loss: 0.9620 103/682 [===>..........................] - ETA: 5:27 - loss: 171.8711 - logits_profile_predictions_loss: 166.6766 - logcount_predictions_loss: 0.9619 104/682 [===>..........................] - ETA: 5:26 - loss: 171.8714 - logits_profile_predictions_loss: 166.6773 - logcount_predictions_loss: 0.9619 105/682 [===>..........................] - ETA: 5:26 - loss: 171.8718 - logits_profile_predictions_loss: 166.6781 - logcount_predictions_loss: 0.9618 106/682 [===>..........................] - ETA: 5:25 - loss: 171.8707 - logits_profile_predictions_loss: 166.6775 - logcount_predictions_loss: 0.9617 107/682 [===>..........................] - ETA: 5:25 - loss: 171.8691 - logits_profile_predictions_loss: 166.6765 - logcount_predictions_loss: 0.9616 108/682 [===>..........................] - ETA: 5:24 - loss: 171.8688 - logits_profile_predictions_loss: 166.6769 - logcount_predictions_loss: 0.9615 109/682 [===>..........................] - ETA: 5:24 - loss: 171.8686 - logits_profile_predictions_loss: 166.6773 - logcount_predictions_loss: 0.9613 110/682 [===>..........................] - ETA: 5:23 - loss: 171.8683 - logits_profile_predictions_loss: 166.6779 - logcount_predictions_loss: 0.9612 111/682 [===>..........................] - ETA: 5:22 - loss: 171.8690 - logits_profile_predictions_loss: 166.6793 - logcount_predictions_loss: 0.9611 112/682 [===>..........................] - ETA: 5:22 - loss: 171.8707 - logits_profile_predictions_loss: 166.6818 - logcount_predictions_loss: 0.9609 113/682 [===>..........................] - ETA: 5:21 - loss: 171.8715 - logits_profile_predictions_loss: 166.6836 - logcount_predictions_loss: 0.9607 114/682 [====>.........................] - ETA: 5:21 - loss: 171.8727 - logits_profile_predictions_loss: 166.6859 - logcount_predictions_loss: 0.9605 115/682 [====>.........................] - ETA: 5:20 - loss: 171.8758 - logits_profile_predictions_loss: 166.6904 - logcount_predictions_loss: 0.9603 116/682 [====>.........................] - ETA: 5:20 - loss: 171.8790 - logits_profile_predictions_loss: 166.6950 - logcount_predictions_loss: 0.9600 117/682 [====>.........................] - ETA: 5:19 - loss: 171.8825 - logits_profile_predictions_loss: 166.7000 - logcount_predictions_loss: 0.9597 118/682 [====>.........................] - ETA: 5:18 - loss: 171.8863 - logits_profile_predictions_loss: 166.7056 - logcount_predictions_loss: 0.9594 119/682 [====>.........................] - ETA: 5:18 - loss: 171.8894 - logits_profile_predictions_loss: 166.7106 - logcount_predictions_loss: 0.9590 120/682 [====>.........................] - ETA: 5:17 - loss: 171.8917 - logits_profile_predictions_loss: 166.7150 - logcount_predictions_loss: 0.9586 121/682 [====>.........................] - ETA: 5:17 - loss: 171.8936 - logits_profile_predictions_loss: 166.7191 - logcount_predictions_loss: 0.9582 122/682 [====>.........................] - ETA: 5:16 - loss: 171.8950 - logits_profile_predictions_loss: 166.7229 - logcount_predictions_loss: 0.9578 123/682 [====>.........................] - ETA: 5:16 - loss: 171.8962 - logits_profile_predictions_loss: 166.7266 - logcount_predictions_loss: 0.9573 124/682 [====>.........................] - ETA: 5:15 - loss: 171.8982 - logits_profile_predictions_loss: 166.7312 - logcount_predictions_loss: 0.9569 125/682 [====>.........................] - ETA: 5:14 - loss: 171.9001 - logits_profile_predictions_loss: 166.7358 - logcount_predictions_loss: 0.9564 126/682 [====>.........................] - ETA: 5:14 - loss: 171.9021 - logits_profile_predictions_loss: 166.7406 - logcount_predictions_loss: 0.9558 127/682 [====>.........................] - ETA: 5:13 - loss: 171.9037 - logits_profile_predictions_loss: 166.7452 - logcount_predictions_loss: 0.9553 128/682 [====>.........................] - ETA: 5:13 - loss: 171.9042 - logits_profile_predictions_loss: 166.7489 - logcount_predictions_loss: 0.9547 129/682 [====>.........................] - ETA: 5:12 - loss: 171.9043 - logits_profile_predictions_loss: 166.7522 - logcount_predictions_loss: 0.9541 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logcount_predictions_loss: 0.5990 679/682 [============================>.] - ETA: 1s - loss: 170.3899 - logits_profile_predictions_loss: 167.1571 - logcount_predictions_loss: 0.5987 680/682 [============================>.] - ETA: 1s - loss: 170.3884 - logits_profile_predictions_loss: 167.1573 - logcount_predictions_loss: 0.5983 681/682 [============================>.] - ETA: 0s - loss: 170.3869 - logits_profile_predictions_loss: 167.1576 - logcount_predictions_loss: 0.5980 682/682 [==============================] - ETA: 0s - loss: 170.3854 - logits_profile_predictions_loss: 167.1578 - logcount_predictions_loss: 0.5977 682/682 [==============================] - 400s 586ms/step - loss: 170.3839 - logits_profile_predictions_loss: 167.1580 - logcount_predictions_loss: 0.5974 - val_loss: 171.5838 - val_logits_profile_predictions_loss: 170.4790 - val_logcount_predictions_loss: 0.2046 + +Epoch 00002: val_loss improved from 176.72180 to 171.58377, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15/chrombpnet.h5 +Epoch 3/50 + 1/682 [..............................] - ETA: 6:37 - loss: 170.1089 - logits_profile_predictions_loss: 169.0032 - logcount_predictions_loss: 0.2048 2/682 [..............................] - ETA: 6:24 - loss: 168.5046 - logits_profile_predictions_loss: 167.3178 - logcount_predictions_loss: 0.2198 3/682 [..............................] - ETA: 6:23 - loss: 167.1745 - logits_profile_predictions_loss: 166.0154 - logcount_predictions_loss: 0.2147 4/682 [..............................] - ETA: 6:23 - loss: 166.3319 - logits_profile_predictions_loss: 165.1982 - logcount_predictions_loss: 0.2099 5/682 [..............................] - ETA: 6:22 - loss: 165.8638 - logits_profile_predictions_loss: 164.7468 - logcount_predictions_loss: 0.2068 6/682 [..............................] - ETA: 6:21 - loss: 165.8987 - logits_profile_predictions_loss: 164.7933 - logcount_predictions_loss: 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[..............................] - ETA: 6:14 - loss: 166.1830 - logits_profile_predictions_loss: 165.0684 - logcount_predictions_loss: 0.2064 21/682 [..............................] - ETA: 6:13 - loss: 166.2940 - logits_profile_predictions_loss: 165.1764 - logcount_predictions_loss: 0.2070 22/682 [..............................] - ETA: 6:12 - loss: 166.4057 - logits_profile_predictions_loss: 165.2856 - logcount_predictions_loss: 0.2074 23/682 [>.............................] - ETA: 6:12 - loss: 166.5209 - logits_profile_predictions_loss: 165.3981 - logcount_predictions_loss: 0.2079 24/682 [>.............................] - ETA: 6:11 - loss: 166.6262 - logits_profile_predictions_loss: 165.5004 - logcount_predictions_loss: 0.2085 25/682 [>.............................] - ETA: 6:11 - loss: 166.7253 - logits_profile_predictions_loss: 165.5968 - logcount_predictions_loss: 0.2090 26/682 [>.............................] - ETA: 6:10 - loss: 166.7982 - logits_profile_predictions_loss: 165.6661 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logcount_predictions_loss: 0.1935  666/682 [============================>.] - ETA: 9s - loss: 166.1311 - logits_profile_predictions_loss: 165.0864 - logcount_predictions_loss: 0.1935 667/682 [============================>.] - ETA: 8s - loss: 166.1319 - logits_profile_predictions_loss: 165.0872 - logcount_predictions_loss: 0.1935 668/682 [============================>.] - ETA: 7s - loss: 166.1327 - logits_profile_predictions_loss: 165.0880 - logcount_predictions_loss: 0.1935 669/682 [============================>.] - ETA: 7s - loss: 166.1335 - logits_profile_predictions_loss: 165.0888 - logcount_predictions_loss: 0.1935 670/682 [============================>.] - ETA: 6s - loss: 166.1343 - logits_profile_predictions_loss: 165.0896 - logcount_predictions_loss: 0.1935 671/682 [============================>.] - ETA: 6s - loss: 166.1351 - logits_profile_predictions_loss: 165.0904 - logcount_predictions_loss: 0.1935 672/682 [============================>.] - ETA: 5s - loss: 166.1359 - 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[============================>.] - ETA: 1s - loss: 166.1416 - logits_profile_predictions_loss: 165.0969 - logcount_predictions_loss: 0.1935 680/682 [============================>.] - ETA: 1s - loss: 166.1425 - logits_profile_predictions_loss: 165.0977 - logcount_predictions_loss: 0.1935 681/682 [============================>.] - ETA: 0s - loss: 166.1433 - logits_profile_predictions_loss: 165.0986 - logcount_predictions_loss: 0.1935 682/682 [==============================] - ETA: 0s - loss: 166.1442 - logits_profile_predictions_loss: 165.0994 - logcount_predictions_loss: 0.1935 682/682 [==============================] - 400s 586ms/step - loss: 166.1450 - logits_profile_predictions_loss: 165.1003 - logcount_predictions_loss: 0.1935 - val_loss: 170.5944 - val_logits_profile_predictions_loss: 169.7245 - val_logcount_predictions_loss: 0.1611 + +Epoch 00004: val_loss improved from 171.19531 to 170.59436, saving model to 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[..............................] - ETA: 6:14 - loss: 165.4361 - logits_profile_predictions_loss: 164.4137 - logcount_predictions_loss: 0.1893 21/682 [..............................] - ETA: 6:13 - loss: 165.4532 - logits_profile_predictions_loss: 164.4301 - logcount_predictions_loss: 0.1895 22/682 [..............................] - ETA: 6:13 - loss: 165.4852 - logits_profile_predictions_loss: 164.4613 - logcount_predictions_loss: 0.1896 23/682 [>.............................] - ETA: 6:12 - loss: 165.5320 - logits_profile_predictions_loss: 164.5080 - logcount_predictions_loss: 0.1896 24/682 [>.............................] - ETA: 6:12 - loss: 165.5875 - logits_profile_predictions_loss: 164.5632 - logcount_predictions_loss: 0.1897 25/682 [>.............................] - ETA: 6:11 - loss: 165.6323 - logits_profile_predictions_loss: 164.6086 - logcount_predictions_loss: 0.1896 26/682 [>.............................] - ETA: 6:11 - loss: 165.6635 - logits_profile_predictions_loss: 164.6403 - logcount_predictions_loss: 0.1895 27/682 [>.............................] - ETA: 6:10 - loss: 165.6774 - logits_profile_predictions_loss: 164.6539 - logcount_predictions_loss: 0.1896 28/682 [>.............................] - ETA: 6:09 - loss: 165.6790 - logits_profile_predictions_loss: 164.6554 - logcount_predictions_loss: 0.1896 29/682 [>.............................] - ETA: 6:09 - loss: 165.6720 - logits_profile_predictions_loss: 164.6486 - logcount_predictions_loss: 0.1895 30/682 [>.............................] - ETA: 6:08 - loss: 165.6614 - logits_profile_predictions_loss: 164.6383 - logcount_predictions_loss: 0.1895 31/682 [>.............................] - ETA: 6:08 - loss: 165.6462 - logits_profile_predictions_loss: 164.6234 - logcount_predictions_loss: 0.1894 32/682 [>.............................] - ETA: 6:07 - loss: 165.6409 - logits_profile_predictions_loss: 164.6182 - logcount_predictions_loss: 0.1894 33/682 [>.............................] - ETA: 6:07 - loss: 165.6329 - 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[>.............................] - ETA: 6:03 - loss: 165.5077 - logits_profile_predictions_loss: 164.4850 - logcount_predictions_loss: 0.1894 41/682 [>.............................] - ETA: 6:02 - loss: 165.5179 - logits_profile_predictions_loss: 164.4941 - logcount_predictions_loss: 0.1896 42/682 [>.............................] - ETA: 6:02 - loss: 165.5287 - logits_profile_predictions_loss: 164.5041 - logcount_predictions_loss: 0.1897 43/682 [>.............................] - ETA: 6:01 - loss: 165.5479 - logits_profile_predictions_loss: 164.5221 - logcount_predictions_loss: 0.1900 44/682 [>.............................] - ETA: 6:00 - loss: 165.5613 - logits_profile_predictions_loss: 164.5345 - logcount_predictions_loss: 0.1902 45/682 [>.............................] - ETA: 6:00 - loss: 165.5774 - logits_profile_predictions_loss: 164.5496 - logcount_predictions_loss: 0.1903 46/682 [=>............................] - ETA: 5:59 - loss: 165.5878 - logits_profile_predictions_loss: 164.5590 - logcount_predictions_loss: 0.1905 47/682 [=>............................] - ETA: 5:59 - loss: 165.5960 - logits_profile_predictions_loss: 164.5663 - logcount_predictions_loss: 0.1907 48/682 [=>............................] - ETA: 5:58 - loss: 165.6033 - logits_profile_predictions_loss: 164.5730 - logcount_predictions_loss: 0.1908 49/682 [=>............................] - ETA: 5:58 - loss: 165.6061 - logits_profile_predictions_loss: 164.5752 - logcount_predictions_loss: 0.1909 50/682 [=>............................] - ETA: 5:57 - loss: 165.6061 - logits_profile_predictions_loss: 164.5747 - logcount_predictions_loss: 0.1910 51/682 [=>............................] - ETA: 5:57 - loss: 165.6049 - logits_profile_predictions_loss: 164.5728 - logcount_predictions_loss: 0.1911 52/682 [=>............................] - ETA: 5:56 - loss: 165.5985 - logits_profile_predictions_loss: 164.5658 - logcount_predictions_loss: 0.1912 53/682 [=>............................] - ETA: 5:55 - loss: 165.5941 - 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[=>............................] - ETA: 5:51 - loss: 165.5556 - logits_profile_predictions_loss: 164.5182 - logcount_predictions_loss: 0.1921 61/682 [=>............................] - ETA: 5:51 - loss: 165.5502 - logits_profile_predictions_loss: 164.5124 - logcount_predictions_loss: 0.1922 62/682 [=>............................] - ETA: 5:50 - loss: 165.5466 - logits_profile_predictions_loss: 164.5083 - logcount_predictions_loss: 0.1923 63/682 [=>............................] - ETA: 5:50 - loss: 165.5454 - logits_profile_predictions_loss: 164.5066 - logcount_predictions_loss: 0.1924 64/682 [=>............................] - ETA: 5:49 - loss: 165.5455 - logits_profile_predictions_loss: 164.5061 - logcount_predictions_loss: 0.1925 65/682 [=>............................] - ETA: 5:49 - loss: 165.5442 - logits_profile_predictions_loss: 164.5042 - logcount_predictions_loss: 0.1926 66/682 [=>............................] - ETA: 5:48 - loss: 165.5423 - logits_profile_predictions_loss: 164.5016 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[==>...........................] - ETA: 5:40 - loss: 165.4469 - logits_profile_predictions_loss: 164.3991 - logcount_predictions_loss: 0.1941 81/682 [==>...........................] - ETA: 5:40 - loss: 165.4369 - logits_profile_predictions_loss: 164.3885 - logcount_predictions_loss: 0.1941 82/682 [==>...........................] - ETA: 5:39 - loss: 165.4278 - logits_profile_predictions_loss: 164.3791 - logcount_predictions_loss: 0.1942 83/682 [==>...........................] - ETA: 5:38 - loss: 165.4191 - logits_profile_predictions_loss: 164.3700 - logcount_predictions_loss: 0.1943 84/682 [==>...........................] - ETA: 5:38 - loss: 165.4109 - logits_profile_predictions_loss: 164.3614 - logcount_predictions_loss: 0.1944 85/682 [==>...........................] - ETA: 5:37 - loss: 165.4027 - logits_profile_predictions_loss: 164.3528 - logcount_predictions_loss: 0.1944 86/682 [==>...........................] - ETA: 5:37 - loss: 165.3946 - logits_profile_predictions_loss: 164.3443 - logcount_predictions_loss: 0.1945 87/682 [==>...........................] - ETA: 5:36 - loss: 165.3846 - logits_profile_predictions_loss: 164.3340 - logcount_predictions_loss: 0.1945 88/682 [==>...........................] - ETA: 5:36 - loss: 165.3763 - logits_profile_predictions_loss: 164.3254 - logcount_predictions_loss: 0.1946 89/682 [==>...........................] - ETA: 5:35 - loss: 165.3680 - logits_profile_predictions_loss: 164.3168 - logcount_predictions_loss: 0.1947 90/682 [==>...........................] - ETA: 5:34 - loss: 165.3577 - logits_profile_predictions_loss: 164.3062 - logcount_predictions_loss: 0.1947 91/682 [===>..........................] - ETA: 5:34 - loss: 165.3475 - logits_profile_predictions_loss: 164.2957 - logcount_predictions_loss: 0.1948 92/682 [===>..........................] - ETA: 5:33 - loss: 165.3377 - logits_profile_predictions_loss: 164.2857 - logcount_predictions_loss: 0.1948 93/682 [===>..........................] - ETA: 5:33 - loss: 165.3285 - 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[===>..........................] - ETA: 5:29 - loss: 165.2692 - logits_profile_predictions_loss: 164.2151 - logcount_predictions_loss: 0.1952 101/682 [===>..........................] - ETA: 5:28 - loss: 165.2644 - logits_profile_predictions_loss: 164.2100 - logcount_predictions_loss: 0.1953 102/682 [===>..........................] - ETA: 5:28 - loss: 165.2588 - logits_profile_predictions_loss: 164.2041 - logcount_predictions_loss: 0.1953 103/682 [===>..........................] - ETA: 5:27 - loss: 165.2552 - logits_profile_predictions_loss: 164.2002 - logcount_predictions_loss: 0.1954 104/682 [===>..........................] - ETA: 5:27 - loss: 165.2527 - logits_profile_predictions_loss: 164.1974 - logcount_predictions_loss: 0.1954 105/682 [===>..........................] - ETA: 5:26 - loss: 165.2511 - logits_profile_predictions_loss: 164.1955 - logcount_predictions_loss: 0.1955 106/682 [===>..........................] - ETA: 5:25 - loss: 165.2483 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 163.9891 - logcount_predictions_loss: 0.1771 80/682 [==>...........................] - ETA: 5:40 - loss: 164.9518 - logits_profile_predictions_loss: 163.9955 - logcount_predictions_loss: 0.1771 81/682 [==>...........................] - ETA: 5:39 - loss: 164.9581 - logits_profile_predictions_loss: 164.0018 - logcount_predictions_loss: 0.1771 82/682 [==>...........................] - ETA: 5:39 - loss: 164.9621 - logits_profile_predictions_loss: 164.0057 - logcount_predictions_loss: 0.1771 83/682 [==>...........................] - ETA: 5:38 - loss: 164.9662 - logits_profile_predictions_loss: 164.0098 - logcount_predictions_loss: 0.1771 84/682 [==>...........................] - ETA: 5:38 - loss: 164.9731 - logits_profile_predictions_loss: 164.0167 - logcount_predictions_loss: 0.1771 85/682 [==>...........................] - ETA: 5:37 - loss: 164.9781 - logits_profile_predictions_loss: 164.0217 - logcount_predictions_loss: 0.1771 86/682 [==>...........................] - ETA: 5:37 - loss: 164.9809 - logits_profile_predictions_loss: 164.0245 - logcount_predictions_loss: 0.1771 87/682 [==>...........................] - ETA: 5:36 - loss: 164.9849 - logits_profile_predictions_loss: 164.0284 - logcount_predictions_loss: 0.1771 88/682 [==>...........................] - ETA: 5:35 - loss: 164.9909 - logits_profile_predictions_loss: 164.0344 - logcount_predictions_loss: 0.1771 89/682 [==>...........................] - ETA: 5:35 - loss: 164.9971 - logits_profile_predictions_loss: 164.0404 - logcount_predictions_loss: 0.1772 90/682 [==>...........................] - ETA: 5:34 - loss: 165.0017 - logits_profile_predictions_loss: 164.0449 - logcount_predictions_loss: 0.1772 91/682 [===>..........................] - ETA: 5:34 - loss: 165.0054 - logits_profile_predictions_loss: 164.0485 - logcount_predictions_loss: 0.1772 92/682 [===>..........................] - ETA: 5:33 - loss: 165.0089 - logits_profile_predictions_loss: 164.0519 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logcount_predictions_loss: 0.1756 675/682 [============================>.] - ETA: 3s - loss: 164.7200 - logits_profile_predictions_loss: 163.7717 - logcount_predictions_loss: 0.1756 676/682 [============================>.] - ETA: 3s - loss: 164.7198 - logits_profile_predictions_loss: 163.7714 - logcount_predictions_loss: 0.1756 677/682 [============================>.] - ETA: 2s - loss: 164.7195 - logits_profile_predictions_loss: 163.7712 - logcount_predictions_loss: 0.1756 678/682 [============================>.] - ETA: 2s - loss: 164.7192 - logits_profile_predictions_loss: 163.7709 - logcount_predictions_loss: 0.1756 679/682 [============================>.] - ETA: 1s - loss: 164.7190 - logits_profile_predictions_loss: 163.7707 - logcount_predictions_loss: 0.1756 680/682 [============================>.] - ETA: 1s - loss: 164.7187 - logits_profile_predictions_loss: 163.7704 - logcount_predictions_loss: 0.1756 681/682 [============================>.] - ETA: 0s - loss: 164.7184 - 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0.2382 4/682 [..............................] - ETA: 6:23 - loss: 167.3801 - logits_profile_predictions_loss: 166.0755 - logcount_predictions_loss: 0.2416 5/682 [..............................] - ETA: 6:22 - loss: 167.3124 - logits_profile_predictions_loss: 166.0094 - logcount_predictions_loss: 0.2413 6/682 [..............................] - ETA: 6:21 - loss: 167.5645 - logits_profile_predictions_loss: 166.2777 - logcount_predictions_loss: 0.2383 7/682 [..............................] - ETA: 6:21 - loss: 167.5548 - logits_profile_predictions_loss: 166.2811 - logcount_predictions_loss: 0.2359 8/682 [..............................] - ETA: 6:20 - loss: 167.5017 - logits_profile_predictions_loss: 166.2382 - logcount_predictions_loss: 0.2340 9/682 [..............................] - ETA: 6:20 - loss: 167.3682 - logits_profile_predictions_loss: 166.1097 - logcount_predictions_loss: 0.2330 10/682 [..............................] - ETA: 6:19 - loss: 167.2210 - logits_profile_predictions_loss: 165.9654 - logcount_predictions_loss: 0.2325 11/682 [..............................] - ETA: 6:19 - loss: 167.1222 - logits_profile_predictions_loss: 165.8736 - logcount_predictions_loss: 0.2312 12/682 [..............................] - ETA: 6:18 - loss: 167.0064 - logits_profile_predictions_loss: 165.7643 - logcount_predictions_loss: 0.2300 13/682 [..............................] - ETA: 6:17 - loss: 166.8605 - logits_profile_predictions_loss: 165.6236 - logcount_predictions_loss: 0.2291 14/682 [..............................] - ETA: 6:17 - loss: 166.7691 - logits_profile_predictions_loss: 165.5366 - logcount_predictions_loss: 0.2283 15/682 [..............................] - ETA: 6:16 - loss: 166.7403 - logits_profile_predictions_loss: 165.5135 - logcount_predictions_loss: 0.2272 16/682 [..............................] - ETA: 6:16 - loss: 166.7391 - logits_profile_predictions_loss: 165.5180 - logcount_predictions_loss: 0.2261 17/682 [..............................] - ETA: 6:15 - loss: 166.7400 - logits_profile_predictions_loss: 165.5248 - logcount_predictions_loss: 0.2250 18/682 [..............................] - ETA: 6:15 - loss: 166.7145 - logits_profile_predictions_loss: 165.5067 - logcount_predictions_loss: 0.2237 19/682 [..............................] - ETA: 6:14 - loss: 166.7176 - logits_profile_predictions_loss: 165.5172 - logcount_predictions_loss: 0.2223 20/682 [..............................] - ETA: 6:13 - loss: 166.7016 - logits_profile_predictions_loss: 165.5088 - logcount_predictions_loss: 0.2209 21/682 [..............................] - ETA: 6:13 - loss: 166.6805 - logits_profile_predictions_loss: 165.4953 - logcount_predictions_loss: 0.2195 22/682 [..............................] - ETA: 6:12 - loss: 166.6327 - logits_profile_predictions_loss: 165.4549 - logcount_predictions_loss: 0.2181 23/682 [>.............................] - ETA: 6:12 - loss: 166.5588 - logits_profile_predictions_loss: 165.3877 - logcount_predictions_loss: 0.2169 24/682 [>.............................] - ETA: 6:11 - loss: 166.5061 - logits_profile_predictions_loss: 165.3415 - logcount_predictions_loss: 0.2157 25/682 [>.............................] - ETA: 6:11 - loss: 166.4632 - logits_profile_predictions_loss: 165.3047 - logcount_predictions_loss: 0.2145 26/682 [>.............................] - ETA: 6:10 - loss: 166.4411 - logits_profile_predictions_loss: 165.2887 - logcount_predictions_loss: 0.2134 27/682 [>.............................] - ETA: 6:10 - loss: 166.4233 - logits_profile_predictions_loss: 165.2769 - logcount_predictions_loss: 0.2123 28/682 [>.............................] - ETA: 6:09 - loss: 166.3824 - logits_profile_predictions_loss: 165.2415 - logcount_predictions_loss: 0.2113 29/682 [>.............................] - ETA: 6:08 - loss: 166.3399 - logits_profile_predictions_loss: 165.2042 - logcount_predictions_loss: 0.2103 30/682 [>.............................] - ETA: 6:08 - loss: 166.3013 - logits_profile_predictions_loss: 165.1702 - logcount_predictions_loss: 0.2095 31/682 [>.............................] - ETA: 6:08 - loss: 166.2688 - logits_profile_predictions_loss: 165.1421 - logcount_predictions_loss: 0.2086 32/682 [>.............................] - ETA: 6:07 - loss: 166.2425 - logits_profile_predictions_loss: 165.1199 - logcount_predictions_loss: 0.2079 33/682 [>.............................] - ETA: 6:06 - loss: 166.2184 - logits_profile_predictions_loss: 165.0997 - logcount_predictions_loss: 0.2072 34/682 [>.............................] - ETA: 6:06 - loss: 166.2072 - logits_profile_predictions_loss: 165.0924 - logcount_predictions_loss: 0.2064 35/682 [>.............................] - ETA: 6:05 - loss: 166.1890 - logits_profile_predictions_loss: 165.0779 - logcount_predictions_loss: 0.2058 36/682 [>.............................] - ETA: 6:05 - loss: 166.1719 - logits_profile_predictions_loss: 165.0643 - logcount_predictions_loss: 0.2051 37/682 [>.............................] - ETA: 6:04 - loss: 166.1503 - logits_profile_predictions_loss: 165.0464 - logcount_predictions_loss: 0.2044 38/682 [>.............................] - ETA: 6:04 - loss: 166.1189 - logits_profile_predictions_loss: 165.0183 - logcount_predictions_loss: 0.2038 39/682 [>.............................] - ETA: 6:03 - loss: 166.0801 - logits_profile_predictions_loss: 164.9826 - logcount_predictions_loss: 0.2032 40/682 [>.............................] - ETA: 6:02 - loss: 166.0435 - logits_profile_predictions_loss: 164.9489 - logcount_predictions_loss: 0.2027 41/682 [>.............................] - ETA: 6:02 - loss: 166.0177 - logits_profile_predictions_loss: 164.9260 - logcount_predictions_loss: 0.2022 42/682 [>.............................] - ETA: 6:01 - loss: 165.9907 - logits_profile_predictions_loss: 164.9018 - logcount_predictions_loss: 0.2017 43/682 [>.............................] - ETA: 6:01 - loss: 165.9601 - logits_profile_predictions_loss: 164.8739 - logcount_predictions_loss: 0.2011 44/682 [>.............................] - ETA: 6:00 - loss: 165.9315 - logits_profile_predictions_loss: 164.8479 - logcount_predictions_loss: 0.2007 45/682 [>.............................] - ETA: 6:00 - loss: 165.8990 - logits_profile_predictions_loss: 164.8179 - logcount_predictions_loss: 0.2002 46/682 [=>............................] - ETA: 5:59 - loss: 165.8646 - logits_profile_predictions_loss: 164.7859 - logcount_predictions_loss: 0.1998 47/682 [=>............................] - ETA: 5:58 - loss: 165.8333 - logits_profile_predictions_loss: 164.7568 - logcount_predictions_loss: 0.1994 48/682 [=>............................] - ETA: 5:58 - loss: 165.8051 - logits_profile_predictions_loss: 164.7305 - logcount_predictions_loss: 0.1990 49/682 [=>............................] - ETA: 5:57 - loss: 165.7739 - logits_profile_predictions_loss: 164.7013 - logcount_predictions_loss: 0.1986 50/682 [=>............................] - ETA: 5:57 - loss: 165.7451 - logits_profile_predictions_loss: 164.6744 - logcount_predictions_loss: 0.1983 51/682 [=>............................] - ETA: 5:56 - loss: 165.7165 - logits_profile_predictions_loss: 164.6474 - logcount_predictions_loss: 0.1980 52/682 [=>............................] - ETA: 5:56 - loss: 165.6899 - logits_profile_predictions_loss: 164.6226 - logcount_predictions_loss: 0.1977 53/682 [=>............................] - ETA: 5:55 - loss: 165.6635 - logits_profile_predictions_loss: 164.5979 - logcount_predictions_loss: 0.1973 54/682 [=>............................] - ETA: 5:54 - loss: 165.6456 - logits_profile_predictions_loss: 164.5814 - logcount_predictions_loss: 0.1971 55/682 [=>............................] - ETA: 5:54 - loss: 165.6308 - logits_profile_predictions_loss: 164.5680 - logcount_predictions_loss: 0.1968 56/682 [=>............................] - ETA: 5:53 - loss: 165.6146 - logits_profile_predictions_loss: 164.5531 - logcount_predictions_loss: 0.1966 57/682 [=>............................] - ETA: 5:53 - loss: 165.6003 - logits_profile_predictions_loss: 164.5403 - logcount_predictions_loss: 0.1963 58/682 [=>............................] - ETA: 5:52 - loss: 165.5907 - logits_profile_predictions_loss: 164.5319 - logcount_predictions_loss: 0.1961 59/682 [=>............................] - ETA: 5:52 - loss: 165.5810 - logits_profile_predictions_loss: 164.5237 - logcount_predictions_loss: 0.1958 60/682 [=>............................] - ETA: 5:51 - loss: 165.5702 - logits_profile_predictions_loss: 164.5142 - logcount_predictions_loss: 0.1956 61/682 [=>............................] - ETA: 5:50 - loss: 165.5603 - logits_profile_predictions_loss: 164.5056 - logcount_predictions_loss: 0.1953 62/682 [=>............................] - ETA: 5:50 - loss: 165.5487 - logits_profile_predictions_loss: 164.4952 - logcount_predictions_loss: 0.1951 63/682 [=>............................] - ETA: 5:49 - loss: 165.5381 - logits_profile_predictions_loss: 164.4859 - logcount_predictions_loss: 0.1949 64/682 [=>............................] - ETA: 5:49 - loss: 165.5254 - logits_profile_predictions_loss: 164.4743 - logcount_predictions_loss: 0.1946 65/682 [=>............................] - ETA: 5:48 - loss: 165.5145 - logits_profile_predictions_loss: 164.4646 - logcount_predictions_loss: 0.1944 66/682 [=>............................] - ETA: 5:48 - loss: 165.5024 - logits_profile_predictions_loss: 164.4537 - logcount_predictions_loss: 0.1942 67/682 [=>............................] - ETA: 5:47 - loss: 165.4941 - logits_profile_predictions_loss: 164.4464 - logcount_predictions_loss: 0.1940 68/682 [=>............................] - ETA: 5:46 - loss: 165.4842 - logits_profile_predictions_loss: 164.4376 - logcount_predictions_loss: 0.1938 69/682 [==>...........................] - ETA: 5:46 - loss: 165.4752 - logits_profile_predictions_loss: 164.4296 - logcount_predictions_loss: 0.1936 70/682 [==>...........................] - ETA: 5:45 - loss: 165.4642 - logits_profile_predictions_loss: 164.4195 - logcount_predictions_loss: 0.1934 71/682 [==>...........................] - ETA: 5:45 - loss: 165.4544 - logits_profile_predictions_loss: 164.4108 - logcount_predictions_loss: 0.1933 72/682 [==>...........................] - ETA: 5:44 - loss: 165.4436 - logits_profile_predictions_loss: 164.4008 - logcount_predictions_loss: 0.1931 73/682 [==>...........................] - ETA: 5:44 - loss: 165.4342 - logits_profile_predictions_loss: 164.3922 - logcount_predictions_loss: 0.1930 74/682 [==>...........................] - ETA: 5:43 - loss: 165.4261 - logits_profile_predictions_loss: 164.3851 - logcount_predictions_loss: 0.1928 75/682 [==>...........................] - ETA: 5:42 - loss: 165.4151 - logits_profile_predictions_loss: 164.3749 - logcount_predictions_loss: 0.1926 76/682 [==>...........................] - ETA: 5:42 - loss: 165.4030 - logits_profile_predictions_loss: 164.3638 - logcount_predictions_loss: 0.1924 77/682 [==>...........................] - ETA: 5:41 - loss: 165.3927 - logits_profile_predictions_loss: 164.3545 - logcount_predictions_loss: 0.1923 78/682 [==>...........................] - ETA: 5:41 - loss: 165.3822 - logits_profile_predictions_loss: 164.3449 - logcount_predictions_loss: 0.1921 79/682 [==>...........................] - ETA: 5:40 - loss: 165.3720 - logits_profile_predictions_loss: 164.3357 - logcount_predictions_loss: 0.1919 80/682 [==>...........................] - ETA: 5:40 - loss: 165.3604 - logits_profile_predictions_loss: 164.3250 - logcount_predictions_loss: 0.1917 81/682 [==>...........................] - ETA: 5:39 - loss: 165.3501 - logits_profile_predictions_loss: 164.3156 - logcount_predictions_loss: 0.1916 82/682 [==>...........................] - ETA: 5:39 - loss: 165.3384 - logits_profile_predictions_loss: 164.3047 - logcount_predictions_loss: 0.1914 83/682 [==>...........................] - ETA: 5:38 - loss: 165.3285 - logits_profile_predictions_loss: 164.2956 - logcount_predictions_loss: 0.1913 84/682 [==>...........................] - ETA: 5:37 - loss: 165.3181 - logits_profile_predictions_loss: 164.2859 - logcount_predictions_loss: 0.1911 85/682 [==>...........................] - ETA: 5:37 - loss: 165.3089 - logits_profile_predictions_loss: 164.2775 - logcount_predictions_loss: 0.1910 86/682 [==>...........................] - ETA: 5:36 - loss: 165.2980 - logits_profile_predictions_loss: 164.2674 - logcount_predictions_loss: 0.1909 87/682 [==>...........................] - ETA: 5:36 - loss: 165.2904 - logits_profile_predictions_loss: 164.2604 - logcount_predictions_loss: 0.1907 88/682 [==>...........................] - ETA: 5:35 - loss: 165.2830 - logits_profile_predictions_loss: 164.2539 - logcount_predictions_loss: 0.1906 89/682 [==>...........................] - ETA: 5:35 - loss: 165.2759 - logits_profile_predictions_loss: 164.2475 - logcount_predictions_loss: 0.1904 90/682 [==>...........................] - ETA: 5:34 - loss: 165.2691 - logits_profile_predictions_loss: 164.2415 - logcount_predictions_loss: 0.1903 91/682 [===>..........................] - ETA: 5:34 - loss: 165.2621 - logits_profile_predictions_loss: 164.2353 - logcount_predictions_loss: 0.1901 92/682 [===>..........................] - ETA: 5:33 - loss: 165.2558 - logits_profile_predictions_loss: 164.2298 - logcount_predictions_loss: 0.1900 93/682 [===>..........................] - ETA: 5:32 - loss: 165.2492 - logits_profile_predictions_loss: 164.2241 - logcount_predictions_loss: 0.1898 94/682 [===>..........................] - ETA: 5:32 - loss: 165.2425 - logits_profile_predictions_loss: 164.2181 - logcount_predictions_loss: 0.1897 95/682 [===>..........................] - ETA: 5:31 - loss: 165.2354 - logits_profile_predictions_loss: 164.2118 - logcount_predictions_loss: 0.1896 96/682 [===>..........................] - ETA: 5:31 - loss: 165.2298 - logits_profile_predictions_loss: 164.2070 - logcount_predictions_loss: 0.1894 97/682 [===>..........................] - ETA: 5:30 - loss: 165.2248 - logits_profile_predictions_loss: 164.2026 - logcount_predictions_loss: 0.1893 98/682 [===>..........................] - ETA: 5:30 - loss: 165.2183 - logits_profile_predictions_loss: 164.1969 - logcount_predictions_loss: 0.1891 99/682 [===>..........................] - ETA: 5:29 - loss: 165.2116 - logits_profile_predictions_loss: 164.1909 - logcount_predictions_loss: 0.1890 100/682 [===>..........................] - ETA: 5:28 - loss: 165.2034 - logits_profile_predictions_loss: 164.1834 - logcount_predictions_loss: 0.1889 101/682 [===>..........................] - ETA: 5:28 - loss: 165.1944 - logits_profile_predictions_loss: 164.1751 - logcount_predictions_loss: 0.1887 102/682 [===>..........................] - ETA: 5:27 - loss: 165.1855 - logits_profile_predictions_loss: 164.1669 - logcount_predictions_loss: 0.1886 103/682 [===>..........................] - ETA: 5:27 - loss: 165.1781 - logits_profile_predictions_loss: 164.1601 - logcount_predictions_loss: 0.1885 104/682 [===>..........................] - ETA: 5:26 - loss: 165.1703 - logits_profile_predictions_loss: 164.1529 - logcount_predictions_loss: 0.1884 105/682 [===>..........................] - ETA: 5:26 - loss: 165.1617 - logits_profile_predictions_loss: 164.1449 - logcount_predictions_loss: 0.1883 106/682 [===>..........................] - ETA: 5:25 - loss: 165.1540 - logits_profile_predictions_loss: 164.1378 - logcount_predictions_loss: 0.1882 107/682 [===>..........................] - ETA: 5:24 - loss: 165.1447 - logits_profile_predictions_loss: 164.1290 - logcount_predictions_loss: 0.1881 108/682 [===>..........................] - ETA: 5:24 - loss: 165.1358 - logits_profile_predictions_loss: 164.1206 - logcount_predictions_loss: 0.1880 109/682 [===>..........................] - ETA: 5:23 - loss: 165.1272 - logits_profile_predictions_loss: 164.1125 - logcount_predictions_loss: 0.1879 110/682 [===>..........................] - ETA: 5:23 - loss: 165.1182 - logits_profile_predictions_loss: 164.1040 - logcount_predictions_loss: 0.1878 111/682 [===>..........................] - ETA: 5:22 - loss: 165.1085 - logits_profile_predictions_loss: 164.0948 - logcount_predictions_loss: 0.1877 112/682 [===>..........................] - ETA: 5:22 - loss: 165.0995 - logits_profile_predictions_loss: 164.0862 - logcount_predictions_loss: 0.1876 113/682 [===>..........................] - ETA: 5:21 - loss: 165.0914 - logits_profile_predictions_loss: 164.0785 - logcount_predictions_loss: 0.1876 114/682 [====>.........................] - ETA: 5:21 - loss: 165.0841 - logits_profile_predictions_loss: 164.0717 - logcount_predictions_loss: 0.1875 115/682 [====>.........................] - ETA: 5:20 - loss: 165.0771 - logits_profile_predictions_loss: 164.0650 - logcount_predictions_loss: 0.1874 116/682 [====>.........................] - ETA: 5:19 - loss: 165.0694 - logits_profile_predictions_loss: 164.0577 - logcount_predictions_loss: 0.1873 117/682 [====>.........................] - ETA: 5:19 - loss: 165.0616 - logits_profile_predictions_loss: 164.0502 - logcount_predictions_loss: 0.1873 118/682 [====>.........................] - ETA: 5:18 - loss: 165.0543 - logits_profile_predictions_loss: 164.0433 - logcount_predictions_loss: 0.1872 119/682 [====>.........................] - ETA: 5:18 - loss: 165.0480 - logits_profile_predictions_loss: 164.0373 - logcount_predictions_loss: 0.1872 120/682 [====>.........................] - ETA: 5:17 - loss: 165.0426 - logits_profile_predictions_loss: 164.0322 - logcount_predictions_loss: 0.1871 121/682 [====>.........................] - ETA: 5:17 - loss: 165.0372 - logits_profile_predictions_loss: 164.0270 - logcount_predictions_loss: 0.1871 122/682 [====>.........................] - ETA: 5:16 - loss: 165.0320 - logits_profile_predictions_loss: 164.0221 - logcount_predictions_loss: 0.1870 123/682 [====>.........................] - ETA: 5:15 - loss: 165.0271 - logits_profile_predictions_loss: 164.0175 - logcount_predictions_loss: 0.1870 124/682 [====>.........................] - ETA: 5:15 - loss: 165.0207 - logits_profile_predictions_loss: 164.0114 - logcount_predictions_loss: 0.1869 125/682 [====>.........................] - ETA: 5:14 - loss: 165.0143 - logits_profile_predictions_loss: 164.0052 - logcount_predictions_loss: 0.1869 126/682 [====>.........................] - ETA: 5:14 - loss: 165.0078 - logits_profile_predictions_loss: 163.9990 - logcount_predictions_loss: 0.1868 127/682 [====>.........................] - ETA: 5:13 - loss: 165.0023 - logits_profile_predictions_loss: 163.9936 - logcount_predictions_loss: 0.1868 128/682 [====>.........................] - ETA: 5:13 - loss: 164.9963 - logits_profile_predictions_loss: 163.9879 - logcount_predictions_loss: 0.1867 129/682 [====>.........................] - ETA: 5:12 - loss: 164.9905 - logits_profile_predictions_loss: 163.9824 - logcount_predictions_loss: 0.1867 130/682 [====>.........................] - ETA: 5:11 - loss: 164.9847 - logits_profile_predictions_loss: 163.9768 - logcount_predictions_loss: 0.1866 131/682 [====>.........................] - ETA: 5:11 - loss: 164.9793 - logits_profile_predictions_loss: 163.9716 - logcount_predictions_loss: 0.1866 132/682 [====>.........................] - ETA: 5:10 - loss: 164.9730 - logits_profile_predictions_loss: 163.9656 - logcount_predictions_loss: 0.1865 133/682 [====>.........................] - ETA: 5:10 - loss: 164.9673 - logits_profile_predictions_loss: 163.9601 - logcount_predictions_loss: 0.1865 134/682 [====>.........................] - ETA: 5:09 - loss: 164.9619 - logits_profile_predictions_loss: 163.9550 - logcount_predictions_loss: 0.1865 135/682 [====>.........................] - ETA: 5:09 - loss: 164.9569 - logits_profile_predictions_loss: 163.9502 - logcount_predictions_loss: 0.1864 136/682 [====>.........................] - ETA: 5:08 - loss: 164.9521 - logits_profile_predictions_loss: 163.9457 - logcount_predictions_loss: 0.1864 137/682 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[..............................] - ETA: 6:14 - loss: 157.6736 - logits_profile_predictions_loss: 156.8858 - logcount_predictions_loss: 0.1459 21/682 [..............................] - ETA: 6:13 - loss: 157.8110 - logits_profile_predictions_loss: 157.0210 - logcount_predictions_loss: 0.1463 22/682 [..............................] - ETA: 6:13 - loss: 157.9373 - logits_profile_predictions_loss: 157.1454 - logcount_predictions_loss: 0.1467 23/682 [>.............................] - ETA: 6:12 - loss: 158.0365 - logits_profile_predictions_loss: 157.2426 - logcount_predictions_loss: 0.1470 24/682 [>.............................] - ETA: 6:12 - loss: 158.1187 - logits_profile_predictions_loss: 157.3234 - logcount_predictions_loss: 0.1473 25/682 [>.............................] - ETA: 6:11 - loss: 158.1887 - logits_profile_predictions_loss: 157.3923 - logcount_predictions_loss: 0.1475 26/682 [>.............................] - ETA: 6:10 - loss: 158.2506 - logits_profile_predictions_loss: 157.4532 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[>.............................] - ETA: 6:03 - loss: 158.8157 - logits_profile_predictions_loss: 158.0071 - logcount_predictions_loss: 0.1497 41/682 [>.............................] - ETA: 6:02 - loss: 158.8346 - logits_profile_predictions_loss: 158.0257 - logcount_predictions_loss: 0.1498 42/682 [>.............................] - ETA: 6:01 - loss: 158.8490 - logits_profile_predictions_loss: 158.0398 - logcount_predictions_loss: 0.1499 43/682 [>.............................] - ETA: 6:01 - loss: 158.8596 - logits_profile_predictions_loss: 158.0500 - logcount_predictions_loss: 0.1499 44/682 [>.............................] - ETA: 6:00 - loss: 158.8635 - logits_profile_predictions_loss: 158.0536 - logcount_predictions_loss: 0.1500 45/682 [>.............................] - ETA: 6:00 - loss: 158.8711 - logits_profile_predictions_loss: 158.0610 - logcount_predictions_loss: 0.1500 46/682 [=>............................] - ETA: 5:59 - loss: 158.8848 - logits_profile_predictions_loss: 158.0744 - logcount_predictions_loss: 0.1501 47/682 [=>............................] - ETA: 5:59 - loss: 158.8966 - logits_profile_predictions_loss: 158.0859 - logcount_predictions_loss: 0.1501 48/682 [=>............................] - ETA: 5:58 - loss: 158.9056 - logits_profile_predictions_loss: 158.0947 - logcount_predictions_loss: 0.1502 49/682 [=>............................] - ETA: 5:57 - loss: 158.9174 - logits_profile_predictions_loss: 158.1061 - logcount_predictions_loss: 0.1502 50/682 [=>............................] - ETA: 5:57 - loss: 158.9286 - logits_profile_predictions_loss: 158.1171 - logcount_predictions_loss: 0.1503 51/682 [=>............................] - ETA: 5:56 - loss: 158.9436 - logits_profile_predictions_loss: 158.1318 - logcount_predictions_loss: 0.1503 52/682 [=>............................] - ETA: 5:56 - loss: 158.9519 - logits_profile_predictions_loss: 158.1398 - logcount_predictions_loss: 0.1504 53/682 [=>............................] - ETA: 5:55 - loss: 158.9639 - 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[=>............................] - ETA: 5:51 - loss: 159.0782 - logits_profile_predictions_loss: 158.2644 - logcount_predictions_loss: 0.1507 61/682 [=>............................] - ETA: 5:51 - loss: 159.0934 - logits_profile_predictions_loss: 158.2795 - logcount_predictions_loss: 0.1507 62/682 [=>............................] - ETA: 5:50 - loss: 159.1091 - logits_profile_predictions_loss: 158.2952 - logcount_predictions_loss: 0.1507 63/682 [=>............................] - ETA: 5:50 - loss: 159.1258 - logits_profile_predictions_loss: 158.3118 - logcount_predictions_loss: 0.1507 64/682 [=>............................] - ETA: 5:49 - loss: 159.1389 - logits_profile_predictions_loss: 158.3247 - logcount_predictions_loss: 0.1508 65/682 [=>............................] - ETA: 5:48 - loss: 159.1519 - logits_profile_predictions_loss: 158.3374 - logcount_predictions_loss: 0.1508 66/682 [=>............................] - ETA: 5:48 - loss: 159.1639 - logits_profile_predictions_loss: 158.3492 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logcount_predictions_loss: 0.1541 669/682 [============================>.] - ETA: 7s - loss: 159.8161 - logits_profile_predictions_loss: 158.9841 - logcount_predictions_loss: 0.1541 670/682 [============================>.] - ETA: 6s - loss: 159.8167 - logits_profile_predictions_loss: 158.9846 - logcount_predictions_loss: 0.1541 671/682 [============================>.] - ETA: 6s - loss: 159.8173 - logits_profile_predictions_loss: 158.9852 - logcount_predictions_loss: 0.1541 672/682 [============================>.] - ETA: 5s - loss: 159.8179 - logits_profile_predictions_loss: 158.9858 - logcount_predictions_loss: 0.1541 673/682 [============================>.] - ETA: 5s - loss: 159.8185 - logits_profile_predictions_loss: 158.9864 - logcount_predictions_loss: 0.1541 674/682 [============================>.] - ETA: 4s - loss: 159.8190 - logits_profile_predictions_loss: 158.9869 - logcount_predictions_loss: 0.1541 675/682 [============================>.] - ETA: 3s - loss: 159.8196 - logits_profile_predictions_loss: 158.9875 - logcount_predictions_loss: 0.1541 676/682 [============================>.] - ETA: 3s - loss: 159.8201 - logits_profile_predictions_loss: 158.9880 - logcount_predictions_loss: 0.1541 677/682 [============================>.] - ETA: 2s - loss: 159.8206 - logits_profile_predictions_loss: 158.9885 - logcount_predictions_loss: 0.1541 678/682 [============================>.] - ETA: 2s - loss: 159.8211 - logits_profile_predictions_loss: 158.9890 - logcount_predictions_loss: 0.1541 679/682 [============================>.] - ETA: 1s - loss: 159.8217 - logits_profile_predictions_loss: 158.9896 - logcount_predictions_loss: 0.1541 680/682 [============================>.] - ETA: 1s - loss: 159.8222 - logits_profile_predictions_loss: 158.9901 - logcount_predictions_loss: 0.1541 681/682 [============================>.] - ETA: 0s - loss: 159.8228 - logits_profile_predictions_loss: 158.9907 - logcount_predictions_loss: 0.1541 682/682 [==============================] - ETA: 0s - loss: 159.8234 - logits_profile_predictions_loss: 158.9913 - logcount_predictions_loss: 0.1541 682/682 [==============================] - 400s 587ms/step - loss: 159.8240 - logits_profile_predictions_loss: 158.9919 - logcount_predictions_loss: 0.1541 - val_loss: 172.1360 - val_logits_profile_predictions_loss: 171.3743 - val_logcount_predictions_loss: 0.1411 + +Epoch 00011: val_loss did not improve from 170.44565 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-03-25_13-30-29: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(12512, 10) +loading nonpeaks... +got split:test for bed regions:(12511, 10) +0/98 +2022-03-25_13-33-13: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(12512, 10) +loading nonpeaks... +got split:test for bed regions:(12511, 10) +0/98 +2022-03-25_13-35-43: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(12512, 10) +loading nonpeaks... +got split:test for bed regions:(12511, 10) +0/98 +2022-03-25_13-37-00: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//footprints +2022-03-25_13-37-00: 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/ENCSR609GST//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/12 [=>............................] - ETA: 1:40 3/12 [======>.......................] - ETA: 7s  4/12 [=========>....................] - ETA: 8s 5/12 [===========>..................] - ETA: 8s 6/12 [==============>...............] - ETA: 7s 7/12 [================>.............] - ETA: 6s 8/12 [===================>..........] - ETA: 5s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 2s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 32s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +Saving marginal footprints +2022-03-25_13-40-34: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//footprints +2022-03-25_13-40-34: 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/ENCSR609GST//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/12 [=>............................] - ETA: 35s 3/12 [======>.......................] - ETA: 0s  4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 5s 178ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 134ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +Saving marginal footprints diff --git a/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stdout_v1.txt b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c21aeede57c2a901c235463dbd5c908c154f187 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR609GST/logfile.modelling.fold_0.ENCSR609GST.stdout_v1.txt @@ -0,0 +1,443 @@ +2022-03-25_12-11-35: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//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: 44161 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 44161 +Number of peaks input: 12512 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 12512 +Number of non peaks input: 44161 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 44161 +Number of non peaks input: 12511 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 12511 +Number of peaks after removing outliers: 43673 +Number of nonpeaks after removing outliers: 38504 +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 + 1/1204 [..............................] - ETA: 2:59:40 7/1204 [..............................] - ETA: 10s  13/1204 [..............................] - ETA: 10s 19/1204 [..............................] - ETA: 10s 25/1204 [..............................] - ETA: 10s 31/1204 [..............................] - ETA: 10s 37/1204 [..............................] - ETA: 10s 43/1204 [>.............................] - ETA: 10s 49/1204 [>.............................] - ETA: 10s 55/1204 [>.............................] - ETA: 10s 61/1204 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ETA: 0s 1201/1204 [============================>.] - ETA: 0s 1204/1204 [==============================] - ETA: 0s 1204/1204 [==============================] - 20s 9ms/step +2022-03-25_12-14-04: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(39678, 10) +loading nonpeaks... +got split:train for bed regions:(34890, 10) +loading peaks... +got split:valid for bed regions:(3995, 10) +loading nonpeaks... +got split:valid for bed regions:(3614, 10) +Epoch 1/50 + 1/682 [..............................] - ETA: 1:45:54 - loss: 193.4799 - logits_profile_predictions_loss: 186.8640 - logcount_predictions_loss: 1.2252 2/682 [..............................] - ETA: 6:25 - loss: 698.9249 - logits_profile_predictions_loss: 184.0048 - logcount_predictions_loss: 95.3556  3/682 [..............................] - ETA: 6:25 - loss: 753.2092 - logits_profile_predictions_loss: 181.9882 - logcount_predictions_loss: 105.7817 4/682 [..............................] - ETA: 6:24 - loss: 737.8148 - logits_profile_predictions_loss: 180.7995 - logcount_predictions_loss: 103.1510 5/682 [..............................] - ETA: 6:23 - loss: 707.8183 - logits_profile_predictions_loss: 179.7045 - logcount_predictions_loss: 97.7989  6/682 [..............................] - ETA: 6:22 - loss: 675.7976 - logits_profile_predictions_loss: 178.3052 - logcount_predictions_loss: 92.1282 7/682 [..............................] - ETA: 6:21 - loss: 646.2190 - logits_profile_predictions_loss: 177.4899 - logcount_predictions_loss: 86.8017 8/682 [..............................] - ETA: 6:21 - loss: 619.5633 - logits_profile_predictions_loss: 176.9361 - logcount_predictions_loss: 81.9680 9/682 [..............................] - ETA: 6:20 - loss: 595.7519 - logits_profile_predictions_loss: 176.5602 - logcount_predictions_loss: 77.6281 10/682 [..............................] - ETA: 6:19 - loss: 574.3606 - logits_profile_predictions_loss: 176.1866 - logcount_predictions_loss: 73.7359 11/682 [..............................] - ETA: 6:19 - loss: 555.1174 - logits_profile_predictions_loss: 175.8240 - logcount_predictions_loss: 70.2395 12/682 [..............................] - ETA: 6:18 - loss: 537.7178 - logits_profile_predictions_loss: 175.4451 - logcount_predictions_loss: 67.0875 13/682 [..............................] - ETA: 6:17 - loss: 522.0002 - logits_profile_predictions_loss: 175.1312 - logcount_predictions_loss: 64.2350 14/682 [..............................] - ETA: 6:17 - loss: 507.6736 - logits_profile_predictions_loss: 174.8088 - logcount_predictions_loss: 61.6416 15/682 [..............................] - ETA: 6:16 - loss: 494.6290 - logits_profile_predictions_loss: 174.5446 - logcount_predictions_loss: 59.2749 16/682 [..............................] - ETA: 6:16 - loss: 482.6801 - logits_profile_predictions_loss: 174.3107 - logcount_predictions_loss: 57.1055 17/682 [..............................] - ETA: 6:15 - loss: 471.6428 - logits_profile_predictions_loss: 174.0523 - logcount_predictions_loss: 55.1094 18/682 [..............................] - ETA: 6:14 - loss: 461.4639 - logits_profile_predictions_loss: 173.8240 - logcount_predictions_loss: 53.2666 19/682 [..............................] - ETA: 6:14 - loss: 452.0368 - logits_profile_predictions_loss: 173.6136 - logcount_predictions_loss: 51.5598 20/682 [..............................] - ETA: 6:13 - loss: 443.3076 - logits_profile_predictions_loss: 173.4448 - logcount_predictions_loss: 49.9746 21/682 [..............................] - ETA: 6:13 - loss: 435.1525 - logits_profile_predictions_loss: 173.2669 - logcount_predictions_loss: 48.4973 22/682 [..............................] - ETA: 6:12 - loss: 427.5480 - logits_profile_predictions_loss: 173.1136 - logcount_predictions_loss: 47.1175 23/682 [>.............................] - ETA: 6:12 - loss: 420.4534 - logits_profile_predictions_loss: 172.9946 - logcount_predictions_loss: 45.8257 24/682 [>.............................] - ETA: 6:11 - loss: 413.7845 - logits_profile_predictions_loss: 172.8749 - logcount_predictions_loss: 44.6129 25/682 [>.............................] - ETA: 6:10 - loss: 407.5063 - logits_profile_predictions_loss: 172.7586 - logcount_predictions_loss: 43.4718 26/682 [>.............................] - ETA: 6:10 - loss: 401.5852 - logits_profile_predictions_loss: 172.6458 - logcount_predictions_loss: 42.3962 27/682 [>.............................] - ETA: 6:09 - loss: 395.9913 - logits_profile_predictions_loss: 172.5375 - logcount_predictions_loss: 41.3803 28/682 [>.............................] - ETA: 6:09 - loss: 390.6922 - logits_profile_predictions_loss: 172.4289 - logcount_predictions_loss: 40.4191 29/682 [>.............................] - ETA: 6:08 - loss: 385.6656 - logits_profile_predictions_loss: 172.3220 - logcount_predictions_loss: 39.5081 30/682 [>.............................] - ETA: 6:08 - loss: 380.8958 - logits_profile_predictions_loss: 172.2215 - logcount_predictions_loss: 38.6434 31/682 [>.............................] - ETA: 6:07 - loss: 376.3722 - logits_profile_predictions_loss: 172.1351 - logcount_predictions_loss: 37.8217 32/682 [>.............................] - ETA: 6:07 - loss: 372.0970 - logits_profile_predictions_loss: 172.0814 - logcount_predictions_loss: 37.0399 33/682 [>.............................] - ETA: 6:06 - loss: 368.0241 - logits_profile_predictions_loss: 172.0323 - logcount_predictions_loss: 36.2948 34/682 [>.............................] - ETA: 6:05 - loss: 364.1436 - logits_profile_predictions_loss: 171.9918 - logcount_predictions_loss: 35.5837 35/682 [>.............................] - ETA: 6:05 - loss: 360.4373 - logits_profile_predictions_loss: 171.9548 - logcount_predictions_loss: 34.9042 36/682 [>.............................] - ETA: 6:04 - loss: 356.8824 - logits_profile_predictions_loss: 171.9111 - logcount_predictions_loss: 34.2539 37/682 [>.............................] - ETA: 6:04 - loss: 353.4860 - logits_profile_predictions_loss: 171.8767 - logcount_predictions_loss: 33.6314 38/682 [>.............................] - ETA: 6:03 - loss: 350.2307 - logits_profile_predictions_loss: 171.8441 - logcount_predictions_loss: 33.0346 39/682 [>.............................] - ETA: 6:03 - loss: 347.1082 - logits_profile_predictions_loss: 171.8138 - logcount_predictions_loss: 32.4619 40/682 [>.............................] - ETA: 6:02 - loss: 344.1070 - logits_profile_predictions_loss: 171.7828 - logcount_predictions_loss: 31.9119 41/682 [>.............................] - ETA: 6:02 - loss: 341.2216 - logits_profile_predictions_loss: 171.7530 - logcount_predictions_loss: 31.3831 42/682 [>.............................] - ETA: 6:01 - loss: 338.4440 - logits_profile_predictions_loss: 171.7234 - logcount_predictions_loss: 30.8742 43/682 [>.............................] - ETA: 6:00 - loss: 335.7712 - logits_profile_predictions_loss: 171.6970 - logcount_predictions_loss: 30.3841 44/682 [>.............................] - ETA: 6:00 - loss: 333.1986 - logits_profile_predictions_loss: 171.6749 - logcount_predictions_loss: 29.9118 45/682 [>.............................] - ETA: 5:59 - loss: 330.7197 - logits_profile_predictions_loss: 171.6558 - logcount_predictions_loss: 29.4563 46/682 [=>............................] - ETA: 5:59 - loss: 328.3246 - logits_profile_predictions_loss: 171.6349 - logcount_predictions_loss: 29.0166 47/682 [=>............................] - ETA: 5:58 - loss: 326.0158 - logits_profile_predictions_loss: 171.6188 - logcount_predictions_loss: 28.5920 48/682 [=>............................] - ETA: 5:58 - loss: 323.7880 - logits_profile_predictions_loss: 171.6068 - logcount_predictions_loss: 28.1817 49/682 [=>............................] - ETA: 5:57 - loss: 321.6279 - logits_profile_predictions_loss: 171.5900 - logcount_predictions_loss: 27.7848 50/682 [=>............................] - ETA: 5:56 - loss: 319.5356 - logits_profile_predictions_loss: 171.5719 - logcount_predictions_loss: 27.4007 51/682 [=>............................] - ETA: 5:56 - loss: 317.5141 - logits_profile_predictions_loss: 171.5586 - logcount_predictions_loss: 27.0288 52/682 [=>............................] - ETA: 5:55 - loss: 315.5574 - logits_profile_predictions_loss: 171.5475 - logcount_predictions_loss: 26.6685 53/682 [=>............................] - ETA: 5:55 - loss: 313.6661 - logits_profile_predictions_loss: 171.5418 - logcount_predictions_loss: 26.3193 54/682 [=>............................] - ETA: 5:54 - loss: 311.8363 - logits_profile_predictions_loss: 171.5405 - logcount_predictions_loss: 25.9807 55/682 [=>............................] - ETA: 5:54 - loss: 310.0534 - logits_profile_predictions_loss: 171.5325 - logcount_predictions_loss: 25.6520 56/682 [=>............................] - ETA: 5:53 - loss: 308.3197 - logits_profile_predictions_loss: 171.5225 - logcount_predictions_loss: 25.3328 57/682 [=>............................] - ETA: 5:53 - loss: 306.6343 - logits_profile_predictions_loss: 171.5116 - logcount_predictions_loss: 25.0227 58/682 [=>............................] - ETA: 5:52 - loss: 305.0019 - logits_profile_predictions_loss: 171.5060 - logcount_predictions_loss: 24.7215 59/682 [=>............................] - ETA: 5:51 - loss: 303.4134 - logits_profile_predictions_loss: 171.4993 - logcount_predictions_loss: 24.4285 60/682 [=>............................] - ETA: 5:51 - loss: 301.8698 - logits_profile_predictions_loss: 171.4944 - logcount_predictions_loss: 24.1436 61/682 [=>............................] - ETA: 5:50 - loss: 300.3701 - logits_profile_predictions_loss: 171.4918 - logcount_predictions_loss: 23.8663 62/682 [=>............................] - ETA: 5:50 - loss: 298.9117 - logits_profile_predictions_loss: 171.4910 - logcount_predictions_loss: 23.5964 63/682 [=>............................] - ETA: 5:49 - loss: 297.4885 - logits_profile_predictions_loss: 171.4874 - logcount_predictions_loss: 23.3335 64/682 [=>............................] - ETA: 5:49 - loss: 296.0973 - logits_profile_predictions_loss: 171.4798 - logcount_predictions_loss: 23.0773 65/682 [=>............................] - ETA: 5:48 - loss: 294.7408 - logits_profile_predictions_loss: 171.4718 - logcount_predictions_loss: 22.8276 66/682 [=>............................] - ETA: 5:48 - loss: 293.4179 - logits_profile_predictions_loss: 171.4637 - logcount_predictions_loss: 22.5841 67/682 [=>............................] - ETA: 5:47 - loss: 292.1283 - logits_profile_predictions_loss: 171.4564 - logcount_predictions_loss: 22.3466 68/682 [=>............................] - ETA: 5:46 - loss: 290.8653 - logits_profile_predictions_loss: 171.4450 - logcount_predictions_loss: 22.1149 69/682 [==>...........................] - ETA: 5:46 - loss: 289.6349 - logits_profile_predictions_loss: 171.4359 - logcount_predictions_loss: 21.8887 70/682 [==>...........................] - ETA: 5:45 - loss: 288.4303 - logits_profile_predictions_loss: 171.4239 - logcount_predictions_loss: 21.6678 71/682 [==>...........................] - ETA: 5:45 - loss: 287.2558 - logits_profile_predictions_loss: 171.4141 - logcount_predictions_loss: 21.4522 72/682 [==>...........................] - ETA: 5:44 - loss: 286.1080 - logits_profile_predictions_loss: 171.4041 - logcount_predictions_loss: 21.2415 73/682 [==>...........................] - ETA: 5:44 - loss: 284.9874 - logits_profile_predictions_loss: 171.3955 - logcount_predictions_loss: 21.0355 74/682 [==>...........................] - ETA: 5:43 - loss: 283.8963 - logits_profile_predictions_loss: 171.3910 - logcount_predictions_loss: 20.8343 75/682 [==>...........................] - ETA: 5:42 - loss: 282.8265 - logits_profile_predictions_loss: 171.3840 - logcount_predictions_loss: 20.6375 76/682 [==>...........................] - ETA: 5:42 - loss: 281.7837 - logits_profile_predictions_loss: 171.3804 - logcount_predictions_loss: 20.4450 77/682 [==>...........................] - ETA: 5:41 - loss: 280.7636 - logits_profile_predictions_loss: 171.3773 - logcount_predictions_loss: 20.2567 78/682 [==>...........................] - ETA: 5:41 - loss: 279.7608 - logits_profile_predictions_loss: 171.3700 - logcount_predictions_loss: 20.0724 79/682 [==>...........................] - ETA: 5:40 - loss: 278.7776 - logits_profile_predictions_loss: 171.3614 - logcount_predictions_loss: 19.8919 80/682 [==>...........................] - ETA: 5:40 - loss: 277.8165 - logits_profile_predictions_loss: 171.3545 - logcount_predictions_loss: 19.7152 81/682 [==>...........................] - ETA: 5:39 - loss: 276.8747 - logits_profile_predictions_loss: 171.3471 - logcount_predictions_loss: 19.5422 82/682 [==>...........................] - ETA: 5:39 - loss: 275.9521 - logits_profile_predictions_loss: 171.3399 - logcount_predictions_loss: 19.3726 83/682 [==>...........................] - ETA: 5:38 - loss: 275.0482 - logits_profile_predictions_loss: 171.3329 - logcount_predictions_loss: 19.2065 84/682 [==>...........................] - ETA: 5:37 - loss: 274.1631 - logits_profile_predictions_loss: 171.3268 - logcount_predictions_loss: 19.0438 85/682 [==>...........................] - ETA: 5:37 - loss: 273.2942 - logits_profile_predictions_loss: 171.3197 - logcount_predictions_loss: 18.8842 86/682 [==>...........................] - ETA: 5:36 - loss: 272.4451 - logits_profile_predictions_loss: 171.3154 - logcount_predictions_loss: 18.7277 87/682 [==>...........................] - ETA: 5:36 - loss: 271.6115 - logits_profile_predictions_loss: 171.3104 - logcount_predictions_loss: 18.5743 88/682 [==>...........................] - ETA: 5:35 - loss: 270.7948 - logits_profile_predictions_loss: 171.3063 - logcount_predictions_loss: 18.4238 89/682 [==>...........................] - ETA: 5:35 - loss: 269.9915 - logits_profile_predictions_loss: 171.3005 - logcount_predictions_loss: 18.2761 90/682 [==>...........................] - ETA: 5:34 - loss: 269.2006 - logits_profile_predictions_loss: 171.2924 - logcount_predictions_loss: 18.1312 91/682 [===>..........................] - ETA: 5:33 - loss: 268.4239 - logits_profile_predictions_loss: 171.2841 - logcount_predictions_loss: 17.9889 92/682 [===>..........................] - ETA: 5:33 - loss: 267.6617 - logits_profile_predictions_loss: 171.2762 - logcount_predictions_loss: 17.8492 93/682 [===>..........................] - ETA: 5:32 - loss: 266.9140 - logits_profile_predictions_loss: 171.2691 - logcount_predictions_loss: 17.7120 94/682 [===>..........................] - ETA: 5:32 - loss: 266.1801 - logits_profile_predictions_loss: 171.2625 - logcount_predictions_loss: 17.5773 95/682 [===>..........................] - ETA: 5:31 - loss: 265.4596 - logits_profile_predictions_loss: 171.2563 - logcount_predictions_loss: 17.4451 96/682 [===>..........................] - ETA: 5:31 - loss: 264.7519 - logits_profile_predictions_loss: 171.2504 - logcount_predictions_loss: 17.3151 97/682 [===>..........................] - ETA: 5:30 - loss: 264.0573 - logits_profile_predictions_loss: 171.2453 - logcount_predictions_loss: 17.1874 98/682 [===>..........................] - ETA: 5:30 - loss: 263.3750 - logits_profile_predictions_loss: 171.2406 - logcount_predictions_loss: 17.0619 99/682 [===>..........................] - ETA: 5:29 - loss: 262.7052 - logits_profile_predictions_loss: 171.2368 - logcount_predictions_loss: 16.9386 100/682 [===>..........................] - ETA: 5:28 - loss: 262.0465 - logits_profile_predictions_loss: 171.2328 - logcount_predictions_loss: 16.8174 101/682 [===>..........................] - ETA: 5:28 - loss: 261.3986 - logits_profile_predictions_loss: 171.2287 - logcount_predictions_loss: 16.6981 102/682 [===>..........................] - ETA: 5:27 - loss: 260.7623 - logits_profile_predictions_loss: 171.2253 - logcount_predictions_loss: 16.5809 103/682 [===>..........................] - ETA: 5:27 - loss: 260.1362 - logits_profile_predictions_loss: 171.2218 - logcount_predictions_loss: 16.4656 104/682 [===>..........................] - ETA: 5:26 - loss: 259.5204 - logits_profile_predictions_loss: 171.2185 - logcount_predictions_loss: 16.3522 105/682 [===>..........................] - ETA: 5:26 - loss: 258.9147 - logits_profile_predictions_loss: 171.2154 - logcount_predictions_loss: 16.2406 106/682 [===>..........................] - ETA: 5:25 - loss: 258.3169 - logits_profile_predictions_loss: 171.2107 - logcount_predictions_loss: 16.1308 107/682 [===>..........................] - ETA: 5:24 - loss: 257.7309 - logits_profile_predictions_loss: 171.2081 - logcount_predictions_loss: 16.0227 108/682 [===>..........................] - ETA: 5:24 - loss: 257.1522 - logits_profile_predictions_loss: 171.2040 - logcount_predictions_loss: 15.9163 109/682 [===>..........................] - ETA: 5:23 - loss: 256.5819 - logits_profile_predictions_loss: 171.1992 - logcount_predictions_loss: 15.8116 110/682 [===>..........................] - ETA: 5:23 - loss: 256.0208 - logits_profile_predictions_loss: 171.1949 - logcount_predictions_loss: 15.7085 111/682 [===>..........................] - ETA: 5:22 - loss: 255.4694 - logits_profile_predictions_loss: 171.1917 - logcount_predictions_loss: 15.6070 112/682 [===>..........................] - ETA: 5:22 - loss: 254.9264 - logits_profile_predictions_loss: 171.1886 - logcount_predictions_loss: 15.5070 113/682 [===>..........................] - ETA: 5:21 - loss: 254.3913 - logits_profile_predictions_loss: 171.1852 - logcount_predictions_loss: 15.4085 114/682 [====>.........................] - ETA: 5:20 - loss: 253.8645 - logits_profile_predictions_loss: 171.1822 - logcount_predictions_loss: 15.3115 115/682 [====>.........................] - ETA: 5:20 - loss: 253.3457 - logits_profile_predictions_loss: 171.1795 - logcount_predictions_loss: 15.2160 116/682 [====>.........................] - ETA: 5:19 - loss: 252.8353 - logits_profile_predictions_loss: 171.1775 - logcount_predictions_loss: 15.1218 117/682 [====>.........................] - ETA: 5:19 - loss: 252.3331 - logits_profile_predictions_loss: 171.1761 - logcount_predictions_loss: 15.0291 118/682 [====>.........................] - ETA: 5:18 - loss: 251.8385 - logits_profile_predictions_loss: 171.1752 - logcount_predictions_loss: 14.9377 119/682 [====>.........................] - ETA: 5:18 - loss: 251.3509 - logits_profile_predictions_loss: 171.1742 - logcount_predictions_loss: 14.8475 120/682 [====>.........................] - ETA: 5:17 - loss: 250.8693 - logits_profile_predictions_loss: 171.1724 - logcount_predictions_loss: 14.7587 121/682 [====>.........................] - ETA: 5:17 - loss: 250.3939 - logits_profile_predictions_loss: 171.1700 - logcount_predictions_loss: 14.6711 122/682 [====>.........................] - ETA: 5:16 - loss: 249.9239 - logits_profile_predictions_loss: 171.1665 - logcount_predictions_loss: 14.5847 123/682 [====>.........................] - ETA: 5:15 - loss: 249.4595 - logits_profile_predictions_loss: 171.1622 - logcount_predictions_loss: 14.4995 124/682 [====>.........................] - ETA: 5:15 - loss: 249.0011 - logits_profile_predictions_loss: 171.1575 - logcount_predictions_loss: 14.4155 125/682 [====>.........................] - ETA: 5:14 - loss: 248.5486 - logits_profile_predictions_loss: 171.1526 - logcount_predictions_loss: 14.3326 126/682 [====>.........................] - ETA: 5:14 - loss: 248.1025 - logits_profile_predictions_loss: 171.1480 - logcount_predictions_loss: 14.2508 127/682 [====>.........................] - ETA: 5:13 - loss: 247.6626 - logits_profile_predictions_loss: 171.1436 - logcount_predictions_loss: 14.1702 128/682 [====>.........................] - ETA: 5:13 - loss: 247.2278 - logits_profile_predictions_loss: 171.1386 - logcount_predictions_loss: 14.0906 129/682 [====>.........................] - ETA: 5:12 - loss: 246.7985 - logits_profile_predictions_loss: 171.1334 - logcount_predictions_loss: 14.0121 130/682 [====>.........................] - ETA: 5:11 - loss: 246.3750 - logits_profile_predictions_loss: 171.1285 - logcount_predictions_loss: 13.9345 131/682 [====>.........................] - ETA: 5:11 - loss: 245.9574 - logits_profile_predictions_loss: 171.1238 - logcount_predictions_loss: 13.8581 132/682 [====>.........................] - ETA: 5:10 - loss: 245.5457 - logits_profile_predictions_loss: 171.1197 - logcount_predictions_loss: 13.7826 133/682 [====>.........................] - ETA: 5:10 - loss: 245.1399 - logits_profile_predictions_loss: 171.1162 - logcount_predictions_loss: 13.7081 134/682 [====>.........................] - ETA: 5:09 - loss: 244.7395 - logits_profile_predictions_loss: 171.1129 - logcount_predictions_loss: 13.6346 135/682 [====>.........................] - ETA: 5:09 - loss: 244.3444 - logits_profile_predictions_loss: 171.1099 - logcount_predictions_loss: 13.5619 136/682 [====>.........................] - ETA: 5:08 - loss: 243.9539 - logits_profile_predictions_loss: 171.1065 - logcount_predictions_loss: 13.4903 137/682 [=====>........................] - ETA: 5:07 - loss: 243.5679 - logits_profile_predictions_loss: 171.1028 - logcount_predictions_loss: 13.4195 138/682 [=====>........................] - ETA: 5:07 - loss: 243.1861 - 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[=====>........................] - ETA: 5:05 - loss: 171.8885 - logits_profile_predictions_loss: 166.7833 - logcount_predictions_loss: 0.9454 142/682 [=====>........................] - ETA: 5:05 - loss: 171.8843 - logits_profile_predictions_loss: 166.7836 - logcount_predictions_loss: 0.9446 143/682 [=====>........................] - ETA: 5:04 - loss: 171.8797 - logits_profile_predictions_loss: 166.7836 - logcount_predictions_loss: 0.9437 144/682 [=====>........................] - ETA: 5:04 - loss: 171.8756 - logits_profile_predictions_loss: 166.7841 - logcount_predictions_loss: 0.9429 145/682 [=====>........................] - ETA: 5:03 - loss: 171.8712 - logits_profile_predictions_loss: 166.7844 - logcount_predictions_loss: 0.9420 146/682 [=====>........................] - ETA: 5:03 - loss: 171.8676 - logits_profile_predictions_loss: 166.7856 - logcount_predictions_loss: 0.9411 147/682 [=====>........................] - ETA: 5:02 - loss: 171.8638 - logits_profile_predictions_loss: 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161/682 [======>.......................] - ETA: 4:54 - loss: 171.8119 - logits_profile_predictions_loss: 166.8067 - logcount_predictions_loss: 0.9269 162/682 [======>.......................] - ETA: 4:54 - loss: 171.8076 - logits_profile_predictions_loss: 166.8079 - logcount_predictions_loss: 0.9259 163/682 [======>.......................] - ETA: 4:53 - loss: 171.8031 - logits_profile_predictions_loss: 166.8088 - logcount_predictions_loss: 0.9249 164/682 [======>.......................] - ETA: 4:52 - loss: 171.7989 - logits_profile_predictions_loss: 166.8102 - logcount_predictions_loss: 0.9238 165/682 [======>.......................] - ETA: 4:52 - loss: 171.7941 - logits_profile_predictions_loss: 166.8108 - logcount_predictions_loss: 0.9228 166/682 [======>.......................] - ETA: 4:51 - loss: 171.7894 - logits_profile_predictions_loss: 166.8117 - logcount_predictions_loss: 0.9218 167/682 [======>.......................] - ETA: 4:51 - loss: 171.7840 - 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[>.............................] - ETA: 6:00 - loss: 167.5894 - logits_profile_predictions_loss: 166.4009 - logcount_predictions_loss: 0.2201 46/682 [=>............................] - ETA: 5:59 - loss: 167.6201 - logits_profile_predictions_loss: 166.4295 - logcount_predictions_loss: 0.2205 47/682 [=>............................] - ETA: 5:58 - loss: 167.6476 - logits_profile_predictions_loss: 166.4551 - logcount_predictions_loss: 0.2208 48/682 [=>............................] - ETA: 5:58 - loss: 167.6773 - logits_profile_predictions_loss: 166.4831 - logcount_predictions_loss: 0.2212 49/682 [=>............................] - ETA: 5:57 - loss: 167.7046 - logits_profile_predictions_loss: 166.5091 - logcount_predictions_loss: 0.2214 50/682 [=>............................] - ETA: 5:57 - loss: 167.7346 - logits_profile_predictions_loss: 166.5378 - logcount_predictions_loss: 0.2216 51/682 [=>............................] - ETA: 5:56 - loss: 167.7612 - logits_profile_predictions_loss: 166.5632 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[==>...........................] - ETA: 5:39 - loss: 164.3909 - logits_profile_predictions_loss: 163.3570 - logcount_predictions_loss: 0.1915 83/682 [==>...........................] - ETA: 5:38 - loss: 164.4136 - logits_profile_predictions_loss: 163.3797 - logcount_predictions_loss: 0.1915 84/682 [==>...........................] - ETA: 5:38 - loss: 164.4351 - logits_profile_predictions_loss: 163.4012 - logcount_predictions_loss: 0.1915 85/682 [==>...........................] - ETA: 5:37 - loss: 164.4556 - logits_profile_predictions_loss: 163.4218 - logcount_predictions_loss: 0.1914 86/682 [==>...........................] - ETA: 5:37 - loss: 164.4774 - logits_profile_predictions_loss: 163.4437 - logcount_predictions_loss: 0.1914 87/682 [==>...........................] - ETA: 5:36 - loss: 164.4984 - logits_profile_predictions_loss: 163.4647 - logcount_predictions_loss: 0.1914 88/682 [==>...........................] - ETA: 5:35 - loss: 164.5173 - logits_profile_predictions_loss: 163.4837 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val_logits_profile_predictions_loss: 169.7245 - val_logcount_predictions_loss: 0.1611 + +Epoch 00004: val_loss improved from 171.19531 to 170.59436, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15/chrombpnet.h5 +Epoch 5/50 + 1/682 [..............................] - ETA: 6:36 - loss: 166.4790 - logits_profile_predictions_loss: 165.4477 - logcount_predictions_loss: 0.1910 2/682 [..............................] - ETA: 6:24 - loss: 162.3008 - logits_profile_predictions_loss: 161.2334 - logcount_predictions_loss: 0.1977 3/682 [..............................] - ETA: 6:24 - loss: 161.2617 - logits_profile_predictions_loss: 160.1954 - logcount_predictions_loss: 0.1975 4/682 [..............................] - ETA: 6:23 - loss: 161.7193 - logits_profile_predictions_loss: 160.6594 - logcount_predictions_loss: 0.1963 5/682 [..............................] - ETA: 6:23 - loss: 162.1624 - logits_profile_predictions_loss: 161.1129 - 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logcount_predictions_loss: 0.1805 679/682 [============================>.] - ETA: 1s - loss: 165.5066 - logits_profile_predictions_loss: 164.5320 - logcount_predictions_loss: 0.1805 680/682 [============================>.] - ETA: 1s - loss: 165.5072 - logits_profile_predictions_loss: 164.5326 - logcount_predictions_loss: 0.1805 681/682 [============================>.] - ETA: 0s - loss: 165.5079 - logits_profile_predictions_loss: 164.5332 - logcount_predictions_loss: 0.1805 682/682 [==============================] - ETA: 0s - loss: 165.5085 - logits_profile_predictions_loss: 164.5339 - logcount_predictions_loss: 0.1805 682/682 [==============================] - 400s 586ms/step - loss: 165.5092 - logits_profile_predictions_loss: 164.5345 - logcount_predictions_loss: 0.1805 - val_loss: 170.4456 - val_logits_profile_predictions_loss: 169.5859 - val_logcount_predictions_loss: 0.1592 + +Epoch 00006: val_loss improved from 170.59436 to 170.44565, saving model to 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[..............................] - ETA: 6:14 - loss: 162.4215 - logits_profile_predictions_loss: 161.4675 - logcount_predictions_loss: 0.1767 21/682 [..............................] - ETA: 6:13 - loss: 162.4654 - logits_profile_predictions_loss: 161.5098 - logcount_predictions_loss: 0.1770 22/682 [..............................] - ETA: 6:12 - loss: 162.5390 - logits_profile_predictions_loss: 161.5827 - logcount_predictions_loss: 0.1771 23/682 [>.............................] - ETA: 6:12 - loss: 162.5795 - logits_profile_predictions_loss: 161.6226 - logcount_predictions_loss: 0.1772 24/682 [>.............................] - ETA: 6:11 - loss: 162.5962 - logits_profile_predictions_loss: 161.6386 - logcount_predictions_loss: 0.1773 25/682 [>.............................] - ETA: 6:11 - loss: 162.6074 - logits_profile_predictions_loss: 161.6494 - logcount_predictions_loss: 0.1774 26/682 [>.............................] - ETA: 6:10 - loss: 162.6081 - logits_profile_predictions_loss: 161.6489 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[>.............................] - ETA: 6:02 - loss: 162.8290 - logits_profile_predictions_loss: 161.8538 - logcount_predictions_loss: 0.1806 41/682 [>.............................] - ETA: 6:02 - loss: 162.8447 - logits_profile_predictions_loss: 161.8686 - logcount_predictions_loss: 0.1807 42/682 [>.............................] - ETA: 6:01 - loss: 162.8572 - logits_profile_predictions_loss: 161.8803 - logcount_predictions_loss: 0.1809 43/682 [>.............................] - ETA: 6:01 - loss: 162.8674 - logits_profile_predictions_loss: 161.8896 - logcount_predictions_loss: 0.1811 44/682 [>.............................] - ETA: 6:00 - loss: 162.8797 - logits_profile_predictions_loss: 161.9011 - logcount_predictions_loss: 0.1812 45/682 [>.............................] - ETA: 5:59 - loss: 162.8937 - logits_profile_predictions_loss: 161.9145 - logcount_predictions_loss: 0.1813 46/682 [=>............................] - ETA: 5:59 - loss: 162.9097 - logits_profile_predictions_loss: 161.9300 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[=>............................] - ETA: 5:51 - loss: 163.0740 - logits_profile_predictions_loss: 162.0887 - logcount_predictions_loss: 0.1825 61/682 [=>............................] - ETA: 5:50 - loss: 163.0825 - logits_profile_predictions_loss: 162.0970 - logcount_predictions_loss: 0.1825 62/682 [=>............................] - ETA: 5:50 - loss: 163.0898 - logits_profile_predictions_loss: 162.1040 - logcount_predictions_loss: 0.1825 63/682 [=>............................] - ETA: 5:49 - loss: 163.0987 - logits_profile_predictions_loss: 162.1127 - logcount_predictions_loss: 0.1826 64/682 [=>............................] - ETA: 5:49 - loss: 163.1087 - logits_profile_predictions_loss: 162.1224 - logcount_predictions_loss: 0.1826 65/682 [=>............................] - ETA: 5:48 - loss: 163.1186 - logits_profile_predictions_loss: 162.1320 - logcount_predictions_loss: 0.1827 66/682 [=>............................] - ETA: 5:48 - loss: 163.1300 - logits_profile_predictions_loss: 162.1432 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[==>...........................] - ETA: 5:40 - loss: 163.2660 - logits_profile_predictions_loss: 162.2754 - logcount_predictions_loss: 0.1834 81/682 [==>...........................] - ETA: 5:39 - loss: 163.2754 - logits_profile_predictions_loss: 162.2846 - logcount_predictions_loss: 0.1835 82/682 [==>...........................] - ETA: 5:39 - loss: 163.2847 - logits_profile_predictions_loss: 162.2937 - logcount_predictions_loss: 0.1835 83/682 [==>...........................] - ETA: 5:38 - loss: 163.2960 - logits_profile_predictions_loss: 162.3049 - logcount_predictions_loss: 0.1835 84/682 [==>...........................] - ETA: 5:37 - loss: 163.3071 - logits_profile_predictions_loss: 162.3158 - logcount_predictions_loss: 0.1836 85/682 [==>...........................] - ETA: 5:37 - loss: 163.3192 - logits_profile_predictions_loss: 162.3277 - logcount_predictions_loss: 0.1836 86/682 [==>...........................] - ETA: 5:36 - loss: 163.3306 - logits_profile_predictions_loss: 162.3390 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[==============================] - ETA: 0s - loss: 164.9951 - logits_profile_predictions_loss: 164.0248 - logcount_predictions_loss: 0.1797 682/682 [==============================] - 400s 586ms/step - loss: 164.9954 - logits_profile_predictions_loss: 164.0251 - logcount_predictions_loss: 0.1797 - val_loss: 170.6685 - val_logits_profile_predictions_loss: 169.5728 - val_logcount_predictions_loss: 0.2029 + +Epoch 00007: val_loss did not improve from 170.44565 +Epoch 8/50 + 1/682 [..............................] - ETA: 6:38 - loss: 168.2514 - logits_profile_predictions_loss: 166.9250 - logcount_predictions_loss: 0.2456 2/682 [..............................] - ETA: 6:24 - loss: 166.3966 - logits_profile_predictions_loss: 165.2097 - logcount_predictions_loss: 0.2198 3/682 [..............................] - ETA: 6:24 - loss: 165.7619 - logits_profile_predictions_loss: 164.6166 - logcount_predictions_loss: 0.2121 4/682 [..............................] - ETA: 6:23 - loss: 165.5619 - logits_profile_predictions_loss: 164.4592 - logcount_predictions_loss: 0.2042 5/682 [..............................] - ETA: 6:22 - loss: 165.5489 - logits_profile_predictions_loss: 164.4712 - logcount_predictions_loss: 0.1996 6/682 [..............................] - ETA: 6:22 - loss: 165.4883 - logits_profile_predictions_loss: 164.4295 - logcount_predictions_loss: 0.1961 7/682 [..............................] - ETA: 6:21 - loss: 165.3816 - logits_profile_predictions_loss: 164.3398 - logcount_predictions_loss: 0.1929 8/682 [..............................] - ETA: 6:21 - loss: 165.2484 - logits_profile_predictions_loss: 164.2214 - logcount_predictions_loss: 0.1902 9/682 [..............................] - ETA: 6:20 - loss: 165.1466 - logits_profile_predictions_loss: 164.1315 - logcount_predictions_loss: 0.1880 10/682 [..............................] - ETA: 6:19 - loss: 165.1154 - logits_profile_predictions_loss: 164.1090 - logcount_predictions_loss: 0.1864 11/682 [..............................] - ETA: 6:19 - loss: 165.1226 - logits_profile_predictions_loss: 164.1235 - logcount_predictions_loss: 0.1850 12/682 [..............................] - ETA: 6:18 - loss: 165.1485 - logits_profile_predictions_loss: 164.1558 - logcount_predictions_loss: 0.1838 13/682 [..............................] - ETA: 6:18 - loss: 165.1315 - logits_profile_predictions_loss: 164.1439 - logcount_predictions_loss: 0.1829 14/682 [..............................] - ETA: 6:17 - loss: 165.1096 - logits_profile_predictions_loss: 164.1257 - logcount_predictions_loss: 0.1822 15/682 [..............................] - ETA: 6:17 - loss: 165.0567 - logits_profile_predictions_loss: 164.0757 - logcount_predictions_loss: 0.1817 16/682 [..............................] - ETA: 6:16 - loss: 165.0076 - logits_profile_predictions_loss: 164.0292 - logcount_predictions_loss: 0.1812 17/682 [..............................] - ETA: 6:16 - loss: 164.9308 - logits_profile_predictions_loss: 163.9548 - logcount_predictions_loss: 0.1807 18/682 [..............................] - ETA: 6:15 - loss: 164.9061 - logits_profile_predictions_loss: 163.9329 - logcount_predictions_loss: 0.1802 19/682 [..............................] - ETA: 6:14 - loss: 164.9196 - logits_profile_predictions_loss: 163.9490 - logcount_predictions_loss: 0.1797 20/682 [..............................] - ETA: 6:14 - loss: 164.9683 - logits_profile_predictions_loss: 164.0003 - logcount_predictions_loss: 0.1793 21/682 [..............................] - ETA: 6:13 - loss: 164.9915 - logits_profile_predictions_loss: 164.0261 - logcount_predictions_loss: 0.1788 22/682 [..............................] - ETA: 6:13 - loss: 164.9898 - logits_profile_predictions_loss: 164.0257 - logcount_predictions_loss: 0.1785 23/682 [>.............................] - ETA: 6:12 - loss: 164.9796 - logits_profile_predictions_loss: 164.0168 - logcount_predictions_loss: 0.1783 24/682 [>.............................] - ETA: 6:12 - loss: 164.9612 - logits_profile_predictions_loss: 163.9992 - logcount_predictions_loss: 0.1781 25/682 [>.............................] - ETA: 6:11 - loss: 164.9397 - logits_profile_predictions_loss: 163.9781 - logcount_predictions_loss: 0.1781 26/682 [>.............................] - ETA: 6:10 - loss: 164.9269 - logits_profile_predictions_loss: 163.9656 - logcount_predictions_loss: 0.1780 27/682 [>.............................] - ETA: 6:10 - loss: 164.9020 - logits_profile_predictions_loss: 163.9414 - logcount_predictions_loss: 0.1779 28/682 [>.............................] - ETA: 6:09 - loss: 164.8792 - logits_profile_predictions_loss: 163.9195 - logcount_predictions_loss: 0.1777 29/682 [>.............................] - ETA: 6:09 - loss: 164.8450 - logits_profile_predictions_loss: 163.8857 - logcount_predictions_loss: 0.1776 30/682 [>.............................] - ETA: 6:08 - loss: 164.8163 - logits_profile_predictions_loss: 163.8577 - logcount_predictions_loss: 0.1775 31/682 [>.............................] - ETA: 6:08 - loss: 164.7876 - logits_profile_predictions_loss: 163.8294 - logcount_predictions_loss: 0.1774 32/682 [>.............................] - ETA: 6:07 - loss: 164.7587 - logits_profile_predictions_loss: 163.8009 - logcount_predictions_loss: 0.1774 33/682 [>.............................] - ETA: 6:06 - loss: 164.7536 - logits_profile_predictions_loss: 163.7960 - logcount_predictions_loss: 0.1773 34/682 [>.............................] - ETA: 6:06 - loss: 164.7458 - logits_profile_predictions_loss: 163.7883 - logcount_predictions_loss: 0.1773 35/682 [>.............................] - ETA: 6:05 - loss: 164.7356 - logits_profile_predictions_loss: 163.7782 - logcount_predictions_loss: 0.1773 36/682 [>.............................] - ETA: 6:05 - loss: 164.7430 - logits_profile_predictions_loss: 163.7858 - logcount_predictions_loss: 0.1772 37/682 [>.............................] - ETA: 6:04 - loss: 164.7581 - logits_profile_predictions_loss: 163.8004 - logcount_predictions_loss: 0.1773 38/682 [>.............................] - ETA: 6:04 - loss: 164.7809 - logits_profile_predictions_loss: 163.8229 - logcount_predictions_loss: 0.1774 39/682 [>.............................] - ETA: 6:03 - loss: 164.7917 - logits_profile_predictions_loss: 163.8333 - logcount_predictions_loss: 0.1775 40/682 [>.............................] - ETA: 6:03 - loss: 164.8039 - logits_profile_predictions_loss: 163.8453 - logcount_predictions_loss: 0.1775 41/682 [>.............................] - ETA: 6:02 - loss: 164.8192 - logits_profile_predictions_loss: 163.8605 - logcount_predictions_loss: 0.1775 42/682 [>.............................] - ETA: 6:01 - loss: 164.8289 - logits_profile_predictions_loss: 163.8703 - logcount_predictions_loss: 0.1775 43/682 [>.............................] - ETA: 6:01 - loss: 164.8331 - logits_profile_predictions_loss: 163.8746 - logcount_predictions_loss: 0.1775 44/682 [>.............................] - ETA: 6:00 - loss: 164.8345 - logits_profile_predictions_loss: 163.8760 - logcount_predictions_loss: 0.1775 45/682 [>.............................] - ETA: 6:00 - loss: 164.8454 - logits_profile_predictions_loss: 163.8870 - logcount_predictions_loss: 0.1775 46/682 [=>............................] - ETA: 5:59 - loss: 164.8513 - logits_profile_predictions_loss: 163.8930 - logcount_predictions_loss: 0.1775 47/682 [=>............................] - ETA: 5:59 - loss: 164.8526 - logits_profile_predictions_loss: 163.8943 - logcount_predictions_loss: 0.1775 48/682 [=>............................] - ETA: 5:58 - loss: 164.8493 - logits_profile_predictions_loss: 163.8911 - logcount_predictions_loss: 0.1774 49/682 [=>............................] - ETA: 5:57 - loss: 164.8500 - logits_profile_predictions_loss: 163.8920 - logcount_predictions_loss: 0.1774 50/682 [=>............................] - ETA: 5:57 - loss: 164.8554 - logits_profile_predictions_loss: 163.8976 - logcount_predictions_loss: 0.1774 51/682 [=>............................] - ETA: 5:56 - loss: 164.8645 - logits_profile_predictions_loss: 163.9068 - logcount_predictions_loss: 0.1773 52/682 [=>............................] - ETA: 5:56 - loss: 164.8720 - logits_profile_predictions_loss: 163.9146 - logcount_predictions_loss: 0.1773 53/682 [=>............................] - ETA: 5:55 - loss: 164.8758 - logits_profile_predictions_loss: 163.9186 - logcount_predictions_loss: 0.1773 54/682 [=>............................] - ETA: 5:55 - loss: 164.8726 - logits_profile_predictions_loss: 163.9154 - logcount_predictions_loss: 0.1773 55/682 [=>............................] - ETA: 5:54 - loss: 164.8715 - logits_profile_predictions_loss: 163.9142 - logcount_predictions_loss: 0.1773 56/682 [=>............................] - ETA: 5:54 - loss: 164.8737 - logits_profile_predictions_loss: 163.9162 - logcount_predictions_loss: 0.1773 57/682 [=>............................] - ETA: 5:53 - loss: 164.8731 - logits_profile_predictions_loss: 163.9155 - logcount_predictions_loss: 0.1773 58/682 [=>............................] - ETA: 5:52 - loss: 164.8742 - logits_profile_predictions_loss: 163.9166 - logcount_predictions_loss: 0.1773 59/682 [=>............................] - ETA: 5:52 - loss: 164.8754 - logits_profile_predictions_loss: 163.9178 - logcount_predictions_loss: 0.1773 60/682 [=>............................] - ETA: 5:51 - loss: 164.8733 - logits_profile_predictions_loss: 163.9156 - logcount_predictions_loss: 0.1773 61/682 [=>............................] - ETA: 5:51 - loss: 164.8729 - logits_profile_predictions_loss: 163.9153 - logcount_predictions_loss: 0.1773 62/682 [=>............................] - ETA: 5:50 - loss: 164.8755 - logits_profile_predictions_loss: 163.9178 - logcount_predictions_loss: 0.1773 63/682 [=>............................] - ETA: 5:50 - loss: 164.8770 - logits_profile_predictions_loss: 163.9194 - logcount_predictions_loss: 0.1773 64/682 [=>............................] - ETA: 5:49 - loss: 164.8780 - logits_profile_predictions_loss: 163.9205 - logcount_predictions_loss: 0.1773 65/682 [=>............................] - ETA: 5:49 - loss: 164.8799 - logits_profile_predictions_loss: 163.9225 - logcount_predictions_loss: 0.1773 66/682 [=>............................] - ETA: 5:48 - loss: 164.8838 - logits_profile_predictions_loss: 163.9265 - logcount_predictions_loss: 0.1773 67/682 [=>............................] - ETA: 5:47 - loss: 164.8874 - logits_profile_predictions_loss: 163.9302 - logcount_predictions_loss: 0.1773 68/682 [=>............................] - ETA: 5:47 - loss: 164.8924 - logits_profile_predictions_loss: 163.9354 - logcount_predictions_loss: 0.1772 69/682 [==>...........................] - ETA: 5:46 - loss: 164.8975 - logits_profile_predictions_loss: 163.9407 - logcount_predictions_loss: 0.1772 70/682 [==>...........................] - ETA: 5:46 - loss: 164.9042 - logits_profile_predictions_loss: 163.9476 - logcount_predictions_loss: 0.1772 71/682 [==>...........................] - ETA: 5:45 - loss: 164.9107 - logits_profile_predictions_loss: 163.9541 - logcount_predictions_loss: 0.1771 72/682 [==>...........................] - ETA: 5:45 - loss: 164.9154 - logits_profile_predictions_loss: 163.9590 - logcount_predictions_loss: 0.1771 73/682 [==>...........................] - ETA: 5:44 - loss: 164.9193 - logits_profile_predictions_loss: 163.9630 - logcount_predictions_loss: 0.1771 74/682 [==>...........................] - ETA: 5:43 - loss: 164.9217 - logits_profile_predictions_loss: 163.9656 - logcount_predictions_loss: 0.1771 75/682 [==>...........................] - ETA: 5:43 - loss: 164.9250 - logits_profile_predictions_loss: 163.9689 - logcount_predictions_loss: 0.1770 76/682 [==>...........................] - ETA: 5:42 - loss: 164.9285 - logits_profile_predictions_loss: 163.9725 - logcount_predictions_loss: 0.1770 77/682 [==>...........................] - ETA: 5:42 - loss: 164.9321 - logits_profile_predictions_loss: 163.9760 - logcount_predictions_loss: 0.1771 78/682 [==>...........................] - ETA: 5:41 - loss: 164.9374 - logits_profile_predictions_loss: 163.9812 - logcount_predictions_loss: 0.1771 79/682 [==>...........................] - ETA: 5:41 - loss: 164.9453 - logits_profile_predictions_loss: 163.9891 - logcount_predictions_loss: 0.1771 80/682 [==>...........................] - ETA: 5:40 - loss: 164.9518 - logits_profile_predictions_loss: 163.9955 - logcount_predictions_loss: 0.1771 81/682 [==>...........................] - ETA: 5:39 - loss: 164.9581 - logits_profile_predictions_loss: 164.0018 - logcount_predictions_loss: 0.1771 82/682 [==>...........................] - ETA: 5:39 - loss: 164.9621 - logits_profile_predictions_loss: 164.0057 - logcount_predictions_loss: 0.1771 83/682 [==>...........................] - ETA: 5:38 - loss: 164.9662 - logits_profile_predictions_loss: 164.0098 - logcount_predictions_loss: 0.1771 84/682 [==>...........................] - ETA: 5:38 - loss: 164.9731 - logits_profile_predictions_loss: 164.0167 - logcount_predictions_loss: 0.1771 85/682 [==>...........................] - ETA: 5:37 - loss: 164.9781 - logits_profile_predictions_loss: 164.0217 - logcount_predictions_loss: 0.1771 86/682 [==>...........................] - ETA: 5:37 - loss: 164.9809 - logits_profile_predictions_loss: 164.0245 - logcount_predictions_loss: 0.1771 87/682 [==>...........................] - ETA: 5:36 - loss: 164.9849 - logits_profile_predictions_loss: 164.0284 - logcount_predictions_loss: 0.1771 88/682 [==>...........................] - ETA: 5:35 - loss: 164.9909 - logits_profile_predictions_loss: 164.0344 - logcount_predictions_loss: 0.1771 89/682 [==>...........................] - ETA: 5:35 - loss: 164.9971 - logits_profile_predictions_loss: 164.0404 - logcount_predictions_loss: 0.1772 90/682 [==>...........................] - ETA: 5:34 - loss: 165.0017 - logits_profile_predictions_loss: 164.0449 - logcount_predictions_loss: 0.1772 91/682 [===>..........................] - ETA: 5:34 - loss: 165.0054 - logits_profile_predictions_loss: 164.0485 - logcount_predictions_loss: 0.1772 92/682 [===>..........................] - ETA: 5:33 - loss: 165.0089 - logits_profile_predictions_loss: 164.0519 - logcount_predictions_loss: 0.1772 93/682 [===>..........................] - ETA: 5:33 - loss: 165.0120 - logits_profile_predictions_loss: 164.0548 - logcount_predictions_loss: 0.1773 94/682 [===>..........................] - ETA: 5:32 - loss: 165.0136 - logits_profile_predictions_loss: 164.0563 - logcount_predictions_loss: 0.1773 95/682 [===>..........................] - ETA: 5:32 - loss: 165.0160 - logits_profile_predictions_loss: 164.0585 - logcount_predictions_loss: 0.1773 96/682 [===>..........................] - ETA: 5:31 - loss: 165.0185 - logits_profile_predictions_loss: 164.0608 - logcount_predictions_loss: 0.1773 97/682 [===>..........................] - ETA: 5:30 - loss: 165.0198 - logits_profile_predictions_loss: 164.0620 - logcount_predictions_loss: 0.1774 98/682 [===>..........................] - ETA: 5:30 - loss: 165.0221 - logits_profile_predictions_loss: 164.0641 - logcount_predictions_loss: 0.1774 99/682 [===>..........................] - ETA: 5:29 - loss: 165.0242 - logits_profile_predictions_loss: 164.0660 - logcount_predictions_loss: 0.1774 100/682 [===>..........................] - ETA: 5:29 - loss: 165.0267 - logits_profile_predictions_loss: 164.0684 - logcount_predictions_loss: 0.1775 101/682 [===>..........................] - ETA: 5:28 - loss: 165.0291 - logits_profile_predictions_loss: 164.0707 - logcount_predictions_loss: 0.1775 102/682 [===>..........................] - ETA: 5:28 - loss: 165.0323 - logits_profile_predictions_loss: 164.0737 - logcount_predictions_loss: 0.1775 103/682 [===>..........................] - ETA: 5:27 - loss: 165.0360 - logits_profile_predictions_loss: 164.0774 - logcount_predictions_loss: 0.1775 104/682 [===>..........................] - ETA: 5:26 - loss: 165.0392 - logits_profile_predictions_loss: 164.0804 - logcount_predictions_loss: 0.1775 105/682 [===>..........................] - ETA: 5:26 - loss: 165.0420 - logits_profile_predictions_loss: 164.0832 - logcount_predictions_loss: 0.1776 106/682 [===>..........................] - ETA: 5:25 - loss: 165.0438 - logits_profile_predictions_loss: 164.0848 - logcount_predictions_loss: 0.1776 107/682 [===>..........................] - ETA: 5:25 - loss: 165.0458 - logits_profile_predictions_loss: 164.0868 - logcount_predictions_loss: 0.1776 108/682 [===>..........................] - ETA: 5:24 - loss: 165.0473 - logits_profile_predictions_loss: 164.0882 - logcount_predictions_loss: 0.1776 109/682 [===>..........................] - ETA: 5:24 - loss: 165.0484 - logits_profile_predictions_loss: 164.0893 - logcount_predictions_loss: 0.1776 110/682 [===>..........................] - ETA: 5:23 - loss: 165.0495 - logits_profile_predictions_loss: 164.0903 - logcount_predictions_loss: 0.1776 111/682 [===>..........................] - ETA: 5:22 - loss: 165.0507 - logits_profile_predictions_loss: 164.0915 - logcount_predictions_loss: 0.1776 112/682 [===>..........................] - ETA: 5:22 - loss: 165.0523 - logits_profile_predictions_loss: 164.0930 - logcount_predictions_loss: 0.1776 113/682 [===>..........................] - ETA: 5:21 - loss: 165.0545 - logits_profile_predictions_loss: 164.0951 - logcount_predictions_loss: 0.1777 114/682 [====>.........................] - ETA: 5:21 - loss: 165.0564 - logits_profile_predictions_loss: 164.0970 - logcount_predictions_loss: 0.1777 115/682 [====>.........................] - ETA: 5:20 - loss: 165.0582 - logits_profile_predictions_loss: 164.0988 - logcount_predictions_loss: 0.1777 116/682 [====>.........................] - ETA: 5:20 - loss: 165.0597 - logits_profile_predictions_loss: 164.1002 - logcount_predictions_loss: 0.1777 117/682 [====>.........................] - ETA: 5:19 - loss: 165.0607 - logits_profile_predictions_loss: 164.1011 - logcount_predictions_loss: 0.1777 118/682 [====>.........................] - ETA: 5:19 - loss: 165.0611 - logits_profile_predictions_loss: 164.1015 - logcount_predictions_loss: 0.1777 119/682 [====>.........................] - ETA: 5:18 - loss: 165.0615 - logits_profile_predictions_loss: 164.1018 - logcount_predictions_loss: 0.1777 120/682 [====>.........................] - ETA: 5:17 - loss: 165.0609 - logits_profile_predictions_loss: 164.1011 - logcount_predictions_loss: 0.1777 121/682 [====>.........................] - ETA: 5:17 - loss: 165.0610 - logits_profile_predictions_loss: 164.1012 - logcount_predictions_loss: 0.1777 122/682 [====>.........................] - ETA: 5:16 - loss: 165.0615 - logits_profile_predictions_loss: 164.1016 - logcount_predictions_loss: 0.1778 123/682 [====>.........................] - ETA: 5:16 - loss: 165.0610 - logits_profile_predictions_loss: 164.1011 - logcount_predictions_loss: 0.1778 124/682 [====>.........................] - ETA: 5:15 - loss: 165.0626 - logits_profile_predictions_loss: 164.1026 - logcount_predictions_loss: 0.1778 125/682 [====>.........................] - ETA: 5:15 - loss: 165.0636 - logits_profile_predictions_loss: 164.1036 - logcount_predictions_loss: 0.1778 126/682 [====>.........................] - ETA: 5:14 - loss: 165.0654 - logits_profile_predictions_loss: 164.1052 - logcount_predictions_loss: 0.1778 127/682 [====>.........................] - ETA: 5:13 - loss: 165.0669 - logits_profile_predictions_loss: 164.1067 - logcount_predictions_loss: 0.1778 128/682 [====>.........................] - ETA: 5:13 - loss: 165.0679 - logits_profile_predictions_loss: 164.1077 - logcount_predictions_loss: 0.1778 129/682 [====>.........................] - ETA: 5:12 - loss: 165.0683 - logits_profile_predictions_loss: 164.1081 - logcount_predictions_loss: 0.1778 130/682 [====>.........................] - ETA: 5:12 - loss: 165.0687 - logits_profile_predictions_loss: 164.1084 - logcount_predictions_loss: 0.1778 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logits_profile_predictions_loss: 162.7249 - logcount_predictions_loss: 0.1620 61/682 [=>............................] - ETA: 5:50 - loss: 163.5834 - logits_profile_predictions_loss: 162.7088 - logcount_predictions_loss: 0.1620 62/682 [=>............................] - ETA: 5:50 - loss: 163.5684 - logits_profile_predictions_loss: 162.6938 - logcount_predictions_loss: 0.1620 63/682 [=>............................] - ETA: 5:49 - loss: 163.5513 - logits_profile_predictions_loss: 162.6768 - logcount_predictions_loss: 0.1619 64/682 [=>............................] - ETA: 5:49 - loss: 163.5351 - logits_profile_predictions_loss: 162.6607 - logcount_predictions_loss: 0.1619 65/682 [=>............................] - ETA: 5:48 - loss: 163.5208 - logits_profile_predictions_loss: 162.6464 - logcount_predictions_loss: 0.1619 66/682 [=>............................] - ETA: 5:48 - loss: 163.5093 - logits_profile_predictions_loss: 162.6350 - logcount_predictions_loss: 0.1619 67/682 [=>............................] - ETA: 5:47 - loss: 163.4974 - logits_profile_predictions_loss: 162.6230 - logcount_predictions_loss: 0.1619 68/682 [=>............................] - ETA: 5:46 - loss: 163.4873 - logits_profile_predictions_loss: 162.6129 - logcount_predictions_loss: 0.1619 69/682 [==>...........................] - ETA: 5:46 - loss: 163.4768 - logits_profile_predictions_loss: 162.6025 - logcount_predictions_loss: 0.1619 70/682 [==>...........................] - ETA: 5:45 - loss: 163.4685 - logits_profile_predictions_loss: 162.5942 - logcount_predictions_loss: 0.1619 71/682 [==>...........................] - ETA: 5:45 - loss: 163.4588 - logits_profile_predictions_loss: 162.5846 - logcount_predictions_loss: 0.1619 72/682 [==>...........................] - ETA: 5:44 - loss: 163.4481 - logits_profile_predictions_loss: 162.5739 - logcount_predictions_loss: 0.1619 73/682 [==>...........................] - ETA: 5:44 - loss: 163.4402 - logits_profile_predictions_loss: 162.5660 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[============================>.] - ETA: 7s - loss: 162.2879 - logits_profile_predictions_loss: 161.4227 - logcount_predictions_loss: 0.1602 670/682 [============================>.] - ETA: 6s - loss: 162.2874 - logits_profile_predictions_loss: 161.4223 - logcount_predictions_loss: 0.1602 671/682 [============================>.] - ETA: 6s - loss: 162.2870 - logits_profile_predictions_loss: 161.4218 - logcount_predictions_loss: 0.1602 672/682 [============================>.] - ETA: 5s - loss: 162.2865 - logits_profile_predictions_loss: 161.4213 - logcount_predictions_loss: 0.1602 673/682 [============================>.] - ETA: 5s - loss: 162.2860 - logits_profile_predictions_loss: 161.4208 - logcount_predictions_loss: 0.1602 674/682 [============================>.] - ETA: 4s - loss: 162.2854 - logits_profile_predictions_loss: 161.4203 - logcount_predictions_loss: 0.1602 675/682 [============================>.] - ETA: 3s - loss: 162.2849 - logits_profile_predictions_loss: 161.4198 - logcount_predictions_loss: 0.1602 676/682 [============================>.] - ETA: 3s - loss: 162.2844 - logits_profile_predictions_loss: 161.4193 - logcount_predictions_loss: 0.1602 677/682 [============================>.] - ETA: 2s - loss: 162.2839 - logits_profile_predictions_loss: 161.4188 - logcount_predictions_loss: 0.1602 678/682 [============================>.] - ETA: 2s - loss: 162.2833 - logits_profile_predictions_loss: 161.4183 - logcount_predictions_loss: 0.1602 679/682 [============================>.] - ETA: 1s - loss: 162.2828 - logits_profile_predictions_loss: 161.4178 - logcount_predictions_loss: 0.1602 680/682 [============================>.] - ETA: 1s - loss: 162.2822 - logits_profile_predictions_loss: 161.4172 - logcount_predictions_loss: 0.1602 681/682 [============================>.] - ETA: 0s - loss: 162.2817 - logits_profile_predictions_loss: 161.4167 - logcount_predictions_loss: 0.1602 682/682 [==============================] - ETA: 0s - loss: 162.2812 - logits_profile_predictions_loss: 161.4161 - logcount_predictions_loss: 0.1602 682/682 [==============================] - 400s 586ms/step - loss: 162.2806 - logits_profile_predictions_loss: 161.4156 - logcount_predictions_loss: 0.1602 - val_loss: 171.4371 - val_logits_profile_predictions_loss: 170.6644 - val_logcount_predictions_loss: 0.1431 + +Epoch 00010: val_loss did not improve from 170.44565 +Epoch 11/50 + 1/682 [..............................] - ETA: 6:36 - loss: 145.7113 - logits_profile_predictions_loss: 144.8757 - logcount_predictions_loss: 0.1548 2/682 [..............................] - ETA: 6:24 - loss: 149.2405 - logits_profile_predictions_loss: 148.4355 - logcount_predictions_loss: 0.1491 3/682 [..............................] - ETA: 6:23 - loss: 150.3923 - logits_profile_predictions_loss: 149.6156 - logcount_predictions_loss: 0.1438 4/682 [..............................] - ETA: 6:23 - loss: 151.6569 - logits_profile_predictions_loss: 150.9015 - logcount_predictions_loss: 0.1399 5/682 [..............................] - ETA: 6:22 - loss: 152.8163 - logits_profile_predictions_loss: 152.0626 - logcount_predictions_loss: 0.1396 6/682 [..............................] - ETA: 6:22 - loss: 153.5544 - logits_profile_predictions_loss: 152.7998 - logcount_predictions_loss: 0.1397 7/682 [..............................] - ETA: 6:21 - loss: 154.0790 - logits_profile_predictions_loss: 153.3200 - logcount_predictions_loss: 0.1406 8/682 [..............................] - ETA: 6:21 - loss: 154.5056 - logits_profile_predictions_loss: 153.7479 - logcount_predictions_loss: 0.1403 9/682 [..............................] - ETA: 6:20 - loss: 155.0360 - logits_profile_predictions_loss: 154.2780 - logcount_predictions_loss: 0.1404 10/682 [..............................] - ETA: 6:20 - loss: 155.4036 - logits_profile_predictions_loss: 154.6467 - logcount_predictions_loss: 0.1402 11/682 [..............................] - ETA: 6:19 - loss: 155.7080 - logits_profile_predictions_loss: 154.9471 - logcount_predictions_loss: 0.1409 12/682 [..............................] - ETA: 6:18 - loss: 156.0395 - logits_profile_predictions_loss: 155.2762 - logcount_predictions_loss: 0.1413 13/682 [..............................] - ETA: 6:18 - loss: 156.3407 - logits_profile_predictions_loss: 155.5743 - logcount_predictions_loss: 0.1419 14/682 [..............................] - ETA: 6:17 - loss: 156.5938 - logits_profile_predictions_loss: 155.8258 - logcount_predictions_loss: 0.1422 15/682 [..............................] - ETA: 6:17 - loss: 156.7903 - logits_profile_predictions_loss: 156.0195 - logcount_predictions_loss: 0.1427 16/682 [..............................] - ETA: 6:16 - loss: 157.0050 - logits_profile_predictions_loss: 156.2313 - logcount_predictions_loss: 0.1433 17/682 [..............................] - ETA: 6:16 - loss: 157.1899 - logits_profile_predictions_loss: 156.4130 - logcount_predictions_loss: 0.1439 18/682 [..............................] - ETA: 6:15 - loss: 157.3579 - logits_profile_predictions_loss: 156.5771 - logcount_predictions_loss: 0.1446 19/682 [..............................] - ETA: 6:14 - loss: 157.5214 - logits_profile_predictions_loss: 156.7366 - logcount_predictions_loss: 0.1453 20/682 [..............................] - ETA: 6:14 - loss: 157.6736 - logits_profile_predictions_loss: 156.8858 - logcount_predictions_loss: 0.1459 21/682 [..............................] - ETA: 6:13 - loss: 157.8110 - logits_profile_predictions_loss: 157.0210 - logcount_predictions_loss: 0.1463 22/682 [..............................] - ETA: 6:13 - loss: 157.9373 - logits_profile_predictions_loss: 157.1454 - logcount_predictions_loss: 0.1467 23/682 [>.............................] - ETA: 6:12 - loss: 158.0365 - logits_profile_predictions_loss: 157.2426 - logcount_predictions_loss: 0.1470 24/682 [>.............................] - ETA: 6:12 - loss: 158.1187 - logits_profile_predictions_loss: 157.3234 - logcount_predictions_loss: 0.1473 25/682 [>.............................] - ETA: 6:11 - loss: 158.1887 - logits_profile_predictions_loss: 157.3923 - logcount_predictions_loss: 0.1475 26/682 [>.............................] - ETA: 6:10 - loss: 158.2506 - logits_profile_predictions_loss: 157.4532 - logcount_predictions_loss: 0.1477 27/682 [>.............................] - ETA: 6:10 - loss: 158.3229 - logits_profile_predictions_loss: 157.5245 - logcount_predictions_loss: 0.1479 28/682 [>.............................] - ETA: 6:09 - loss: 158.3776 - logits_profile_predictions_loss: 157.5781 - logcount_predictions_loss: 0.1481 29/682 [>.............................] - ETA: 6:09 - loss: 158.4326 - logits_profile_predictions_loss: 157.6318 - logcount_predictions_loss: 0.1483 30/682 [>.............................] - ETA: 6:08 - loss: 158.4814 - logits_profile_predictions_loss: 157.6797 - logcount_predictions_loss: 0.1485 31/682 [>.............................] - ETA: 6:08 - loss: 158.5204 - logits_profile_predictions_loss: 157.7178 - logcount_predictions_loss: 0.1486 32/682 [>.............................] - ETA: 6:07 - loss: 158.5612 - logits_profile_predictions_loss: 157.7576 - logcount_predictions_loss: 0.1488 33/682 [>.............................] - ETA: 6:07 - loss: 158.6023 - logits_profile_predictions_loss: 157.7973 - logcount_predictions_loss: 0.1491 34/682 [>.............................] - ETA: 6:06 - loss: 158.6492 - logits_profile_predictions_loss: 157.8432 - logcount_predictions_loss: 0.1493 35/682 [>.............................] - ETA: 6:05 - loss: 158.6812 - logits_profile_predictions_loss: 157.8745 - logcount_predictions_loss: 0.1494 36/682 [>.............................] - ETA: 6:05 - loss: 158.7140 - logits_profile_predictions_loss: 157.9065 - logcount_predictions_loss: 0.1495 37/682 [>.............................] - ETA: 6:04 - loss: 158.7435 - logits_profile_predictions_loss: 157.9355 - logcount_predictions_loss: 0.1496 38/682 [>.............................] - ETA: 6:04 - loss: 158.7660 - logits_profile_predictions_loss: 157.9579 - logcount_predictions_loss: 0.1497 39/682 [>.............................] - ETA: 6:03 - loss: 158.7917 - logits_profile_predictions_loss: 157.9833 - logcount_predictions_loss: 0.1497 40/682 [>.............................] - ETA: 6:03 - loss: 158.8157 - logits_profile_predictions_loss: 158.0071 - logcount_predictions_loss: 0.1497 41/682 [>.............................] - ETA: 6:02 - loss: 158.8346 - logits_profile_predictions_loss: 158.0257 - logcount_predictions_loss: 0.1498 42/682 [>.............................] - ETA: 6:01 - loss: 158.8490 - logits_profile_predictions_loss: 158.0398 - logcount_predictions_loss: 0.1499 43/682 [>.............................] - ETA: 6:01 - loss: 158.8596 - logits_profile_predictions_loss: 158.0500 - logcount_predictions_loss: 0.1499 44/682 [>.............................] - ETA: 6:00 - loss: 158.8635 - logits_profile_predictions_loss: 158.0536 - logcount_predictions_loss: 0.1500 45/682 [>.............................] - ETA: 6:00 - loss: 158.8711 - logits_profile_predictions_loss: 158.0610 - logcount_predictions_loss: 0.1500 46/682 [=>............................] - ETA: 5:59 - loss: 158.8848 - logits_profile_predictions_loss: 158.0744 - logcount_predictions_loss: 0.1501 47/682 [=>............................] - ETA: 5:59 - loss: 158.8966 - logits_profile_predictions_loss: 158.0859 - logcount_predictions_loss: 0.1501 48/682 [=>............................] - ETA: 5:58 - loss: 158.9056 - logits_profile_predictions_loss: 158.0947 - logcount_predictions_loss: 0.1502 49/682 [=>............................] - ETA: 5:57 - loss: 158.9174 - logits_profile_predictions_loss: 158.1061 - logcount_predictions_loss: 0.1502 50/682 [=>............................] - ETA: 5:57 - loss: 158.9286 - logits_profile_predictions_loss: 158.1171 - logcount_predictions_loss: 0.1503 51/682 [=>............................] - ETA: 5:56 - loss: 158.9436 - logits_profile_predictions_loss: 158.1318 - logcount_predictions_loss: 0.1503 52/682 [=>............................] - ETA: 5:56 - loss: 158.9519 - logits_profile_predictions_loss: 158.1398 - logcount_predictions_loss: 0.1504 53/682 [=>............................] - ETA: 5:55 - loss: 158.9639 - logits_profile_predictions_loss: 158.1515 - logcount_predictions_loss: 0.1505 54/682 [=>............................] - ETA: 5:55 - loss: 158.9792 - logits_profile_predictions_loss: 158.1664 - logcount_predictions_loss: 0.1505 55/682 [=>............................] - ETA: 5:54 - loss: 158.9963 - logits_profile_predictions_loss: 158.1831 - logcount_predictions_loss: 0.1506 56/682 [=>............................] - ETA: 5:54 - loss: 159.0124 - logits_profile_predictions_loss: 158.1990 - logcount_predictions_loss: 0.1506 57/682 [=>............................] - ETA: 5:53 - loss: 159.0271 - logits_profile_predictions_loss: 158.2135 - logcount_predictions_loss: 0.1507 58/682 [=>............................] - ETA: 5:52 - loss: 159.0432 - logits_profile_predictions_loss: 158.2294 - logcount_predictions_loss: 0.1507 59/682 [=>............................] - ETA: 5:52 - loss: 159.0615 - logits_profile_predictions_loss: 158.2477 - logcount_predictions_loss: 0.1507 60/682 [=>............................] - ETA: 5:51 - loss: 159.0782 - logits_profile_predictions_loss: 158.2644 - logcount_predictions_loss: 0.1507 61/682 [=>............................] - ETA: 5:51 - loss: 159.0934 - logits_profile_predictions_loss: 158.2795 - logcount_predictions_loss: 0.1507 62/682 [=>............................] - ETA: 5:50 - loss: 159.1091 - logits_profile_predictions_loss: 158.2952 - logcount_predictions_loss: 0.1507 63/682 [=>............................] - ETA: 5:50 - loss: 159.1258 - logits_profile_predictions_loss: 158.3118 - logcount_predictions_loss: 0.1507 64/682 [=>............................] - ETA: 5:49 - loss: 159.1389 - logits_profile_predictions_loss: 158.3247 - logcount_predictions_loss: 0.1508 65/682 [=>............................] - ETA: 5:48 - loss: 159.1519 - logits_profile_predictions_loss: 158.3374 - logcount_predictions_loss: 0.1508 66/682 [=>............................] - ETA: 5:48 - loss: 159.1639 - logits_profile_predictions_loss: 158.3492 - logcount_predictions_loss: 0.1509 67/682 [=>............................] - ETA: 5:47 - loss: 159.1710 - logits_profile_predictions_loss: 158.3560 - logcount_predictions_loss: 0.1509 68/682 [=>............................] - ETA: 5:47 - loss: 159.1806 - logits_profile_predictions_loss: 158.3653 - logcount_predictions_loss: 0.1510 69/682 [==>...........................] - ETA: 5:46 - loss: 159.1909 - logits_profile_predictions_loss: 158.3753 - logcount_predictions_loss: 0.1510 70/682 [==>...........................] - ETA: 5:46 - loss: 159.1997 - logits_profile_predictions_loss: 158.3837 - logcount_predictions_loss: 0.1511 71/682 [==>...........................] - ETA: 5:45 - loss: 159.2094 - logits_profile_predictions_loss: 158.3931 - logcount_predictions_loss: 0.1512 72/682 [==>...........................] - ETA: 5:44 - loss: 159.2212 - logits_profile_predictions_loss: 158.4045 - logcount_predictions_loss: 0.1512 73/682 [==>...........................] - ETA: 5:44 - loss: 159.2321 - logits_profile_predictions_loss: 158.4151 - logcount_predictions_loss: 0.1513 74/682 [==>...........................] - ETA: 5:43 - loss: 159.2459 - logits_profile_predictions_loss: 158.4286 - logcount_predictions_loss: 0.1513 75/682 [==>...........................] - ETA: 5:43 - loss: 159.2604 - logits_profile_predictions_loss: 158.4428 - logcount_predictions_loss: 0.1514 76/682 [==>...........................] - ETA: 5:42 - loss: 159.2751 - logits_profile_predictions_loss: 158.4573 - logcount_predictions_loss: 0.1515 77/682 [==>...........................] - ETA: 5:42 - loss: 159.2878 - logits_profile_predictions_loss: 158.4696 - logcount_predictions_loss: 0.1515 78/682 [==>...........................] - ETA: 5:41 - loss: 159.2970 - logits_profile_predictions_loss: 158.4786 - logcount_predictions_loss: 0.1516 79/682 [==>...........................] - ETA: 5:41 - loss: 159.3075 - logits_profile_predictions_loss: 158.4888 - logcount_predictions_loss: 0.1516 80/682 [==>...........................] - ETA: 5:40 - loss: 159.3168 - logits_profile_predictions_loss: 158.4978 - logcount_predictions_loss: 0.1517 81/682 [==>...........................] - ETA: 5:39 - loss: 159.3243 - logits_profile_predictions_loss: 158.5052 - logcount_predictions_loss: 0.1517 82/682 [==>...........................] - ETA: 5:39 - loss: 159.3312 - logits_profile_predictions_loss: 158.5120 - logcount_predictions_loss: 0.1517 83/682 [==>...........................] - ETA: 5:38 - loss: 159.3359 - logits_profile_predictions_loss: 158.5165 - logcount_predictions_loss: 0.1518 84/682 [==>...........................] - ETA: 5:38 - loss: 159.3397 - logits_profile_predictions_loss: 158.5200 - logcount_predictions_loss: 0.1518 85/682 [==>...........................] - ETA: 5:37 - loss: 159.3423 - logits_profile_predictions_loss: 158.5224 - logcount_predictions_loss: 0.1518 86/682 [==>...........................] - ETA: 5:37 - loss: 159.3438 - logits_profile_predictions_loss: 158.5237 - logcount_predictions_loss: 0.1519 87/682 [==>...........................] - ETA: 5:36 - loss: 159.3463 - logits_profile_predictions_loss: 158.5259 - logcount_predictions_loss: 0.1519 88/682 [==>...........................] - ETA: 5:35 - loss: 159.3489 - logits_profile_predictions_loss: 158.5282 - logcount_predictions_loss: 0.1520 89/682 [==>...........................] - ETA: 5:35 - loss: 159.3512 - logits_profile_predictions_loss: 158.5303 - logcount_predictions_loss: 0.1520 90/682 [==>...........................] - ETA: 5:34 - loss: 159.3531 - logits_profile_predictions_loss: 158.5320 - logcount_predictions_loss: 0.1521 91/682 [===>..........................] - ETA: 5:34 - loss: 159.3541 - logits_profile_predictions_loss: 158.5327 - logcount_predictions_loss: 0.1521 92/682 [===>..........................] - ETA: 5:33 - loss: 159.3531 - logits_profile_predictions_loss: 158.5315 - logcount_predictions_loss: 0.1521 93/682 [===>..........................] - ETA: 5:33 - loss: 159.3515 - logits_profile_predictions_loss: 158.5297 - logcount_predictions_loss: 0.1522 94/682 [===>..........................] - ETA: 5:32 - loss: 159.3498 - logits_profile_predictions_loss: 158.5278 - logcount_predictions_loss: 0.1522 95/682 [===>..........................] - ETA: 5:31 - loss: 159.3492 - logits_profile_predictions_loss: 158.5270 - logcount_predictions_loss: 0.1523 96/682 [===>..........................] - ETA: 5:31 - loss: 159.3479 - logits_profile_predictions_loss: 158.5254 - logcount_predictions_loss: 0.1523 97/682 [===>..........................] - ETA: 5:30 - loss: 159.3454 - logits_profile_predictions_loss: 158.5227 - logcount_predictions_loss: 0.1524 98/682 [===>..........................] - ETA: 5:30 - loss: 159.3428 - logits_profile_predictions_loss: 158.5199 - logcount_predictions_loss: 0.1524 99/682 [===>..........................] - ETA: 5:29 - loss: 159.3407 - logits_profile_predictions_loss: 158.5176 - logcount_predictions_loss: 0.1524 100/682 [===>..........................] - ETA: 5:29 - loss: 159.3387 - logits_profile_predictions_loss: 158.5153 - logcount_predictions_loss: 0.1525 101/682 [===>..........................] - ETA: 5:28 - loss: 159.3363 - logits_profile_predictions_loss: 158.5127 - logcount_predictions_loss: 0.1525 102/682 [===>..........................] - ETA: 5:28 - loss: 159.3343 - logits_profile_predictions_loss: 158.5105 - logcount_predictions_loss: 0.1526 103/682 [===>..........................] - ETA: 5:27 - loss: 159.3342 - logits_profile_predictions_loss: 158.5102 - logcount_predictions_loss: 0.1526 104/682 [===>..........................] - ETA: 5:26 - loss: 159.3347 - logits_profile_predictions_loss: 158.5105 - logcount_predictions_loss: 0.1526 105/682 [===>..........................] - ETA: 5:26 - loss: 159.3361 - logits_profile_predictions_loss: 158.5117 - logcount_predictions_loss: 0.1527 106/682 [===>..........................] - ETA: 5:25 - loss: 159.3383 - logits_profile_predictions_loss: 158.5138 - logcount_predictions_loss: 0.1527 107/682 [===>..........................] - ETA: 5:25 - loss: 159.3411 - logits_profile_predictions_loss: 158.5165 - logcount_predictions_loss: 0.1527 108/682 [===>..........................] - ETA: 5:24 - loss: 159.3433 - logits_profile_predictions_loss: 158.5185 - logcount_predictions_loss: 0.1528 109/682 [===>..........................] - ETA: 5:24 - loss: 159.3454 - logits_profile_predictions_loss: 158.5204 - logcount_predictions_loss: 0.1528 110/682 [===>..........................] - ETA: 5:23 - loss: 159.3478 - logits_profile_predictions_loss: 158.5226 - logcount_predictions_loss: 0.1528 111/682 [===>..........................] - ETA: 5:22 - loss: 159.3502 - logits_profile_predictions_loss: 158.5249 - logcount_predictions_loss: 0.1528 112/682 [===>..........................] - ETA: 5:22 - loss: 159.3532 - logits_profile_predictions_loss: 158.5278 - logcount_predictions_loss: 0.1529 113/682 [===>..........................] - ETA: 5:21 - loss: 159.3571 - logits_profile_predictions_loss: 158.5315 - logcount_predictions_loss: 0.1529 114/682 [====>.........................] - ETA: 5:21 - loss: 159.3604 - logits_profile_predictions_loss: 158.5347 - logcount_predictions_loss: 0.1529 115/682 [====>.........................] - ETA: 5:20 - loss: 159.3637 - logits_profile_predictions_loss: 158.5379 - logcount_predictions_loss: 0.1529 116/682 [====>.........................] - ETA: 5:20 - loss: 159.3675 - logits_profile_predictions_loss: 158.5415 - logcount_predictions_loss: 0.1530 117/682 [====>.........................] - ETA: 5:19 - loss: 159.3712 - logits_profile_predictions_loss: 158.5450 - logcount_predictions_loss: 0.1530 118/682 [====>.........................] - ETA: 5:18 - 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[========================>.....] - ETA: 53s - loss: 159.7651 - logits_profile_predictions_loss: 158.9332 - logcount_predictions_loss: 0.1541 588/682 [========================>.....] - ETA: 53s - loss: 159.7658 - logits_profile_predictions_loss: 158.9338 - logcount_predictions_loss: 0.1541 589/682 [========================>.....] - ETA: 52s - loss: 159.7665 - logits_profile_predictions_loss: 158.9345 - logcount_predictions_loss: 0.1541 590/682 [========================>.....] - ETA: 52s - loss: 159.7672 - logits_profile_predictions_loss: 158.9352 - logcount_predictions_loss: 0.1541 591/682 [========================>.....] - ETA: 51s - loss: 159.7679 - logits_profile_predictions_loss: 158.9359 - logcount_predictions_loss: 0.1541 592/682 [=========================>....] - ETA: 50s - loss: 159.7685 - logits_profile_predictions_loss: 158.9366 - logcount_predictions_loss: 0.1541 593/682 [=========================>....] - ETA: 50s - loss: 159.7692 - logits_profile_predictions_loss: 158.9372 - 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[=========================>....] - ETA: 42s - loss: 159.7778 - logits_profile_predictions_loss: 158.9459 - logcount_predictions_loss: 0.1541 608/682 [=========================>....] - ETA: 41s - loss: 159.7784 - logits_profile_predictions_loss: 158.9465 - logcount_predictions_loss: 0.1541 609/682 [=========================>....] - ETA: 41s - loss: 159.7790 - logits_profile_predictions_loss: 158.9471 - logcount_predictions_loss: 0.1541 610/682 [=========================>....] - ETA: 40s - loss: 159.7796 - logits_profile_predictions_loss: 158.9477 - logcount_predictions_loss: 0.1541 611/682 [=========================>....] - ETA: 40s - loss: 159.7802 - logits_profile_predictions_loss: 158.9483 - logcount_predictions_loss: 0.1541 612/682 [=========================>....] - ETA: 39s - loss: 159.7808 - logits_profile_predictions_loss: 158.9489 - logcount_predictions_loss: 0.1541 613/682 [=========================>....] - ETA: 39s - loss: 159.7815 - logits_profile_predictions_loss: 158.9495 - 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[==========================>...] - ETA: 31s - loss: 159.7907 - logits_profile_predictions_loss: 158.9587 - logcount_predictions_loss: 0.1541 628/682 [==========================>...] - ETA: 30s - loss: 159.7914 - logits_profile_predictions_loss: 158.9594 - logcount_predictions_loss: 0.1541 629/682 [==========================>...] - ETA: 29s - loss: 159.7920 - logits_profile_predictions_loss: 158.9600 - logcount_predictions_loss: 0.1541 630/682 [==========================>...] - ETA: 29s - loss: 159.7926 - logits_profile_predictions_loss: 158.9606 - logcount_predictions_loss: 0.1541 631/682 [==========================>...] - ETA: 28s - loss: 159.7932 - logits_profile_predictions_loss: 158.9613 - logcount_predictions_loss: 0.1541 632/682 [==========================>...] - ETA: 28s - loss: 159.7939 - logits_profile_predictions_loss: 158.9619 - logcount_predictions_loss: 0.1541 633/682 [==========================>...] - ETA: 27s - loss: 159.7945 - logits_profile_predictions_loss: 158.9625 - 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logits_profile_predictions_loss: 158.9670 - logcount_predictions_loss: 0.1541 641/682 [===========================>..] - ETA: 23s - loss: 159.7996 - logits_profile_predictions_loss: 158.9676 - logcount_predictions_loss: 0.1541 642/682 [===========================>..] - ETA: 22s - loss: 159.8002 - logits_profile_predictions_loss: 158.9682 - logcount_predictions_loss: 0.1541 643/682 [===========================>..] - ETA: 22s - loss: 159.8009 - logits_profile_predictions_loss: 158.9689 - logcount_predictions_loss: 0.1541 644/682 [===========================>..] - ETA: 21s - loss: 159.8015 - logits_profile_predictions_loss: 158.9695 - logcount_predictions_loss: 0.1541 645/682 [===========================>..] - ETA: 20s - loss: 159.8021 - logits_profile_predictions_loss: 158.9701 - logcount_predictions_loss: 0.1541 646/682 [===========================>..] - ETA: 20s - loss: 159.8027 - logits_profile_predictions_loss: 158.9707 - logcount_predictions_loss: 0.1541 647/682 [===========================>..] - ETA: 19s - loss: 159.8033 - logits_profile_predictions_loss: 158.9713 - logcount_predictions_loss: 0.1541 648/682 [===========================>..] - ETA: 19s - loss: 159.8039 - logits_profile_predictions_loss: 158.9719 - logcount_predictions_loss: 0.1541 649/682 [===========================>..] - ETA: 18s - loss: 159.8045 - logits_profile_predictions_loss: 158.9725 - logcount_predictions_loss: 0.1541 650/682 [===========================>..] - ETA: 18s - loss: 159.8050 - logits_profile_predictions_loss: 158.9730 - logcount_predictions_loss: 0.1541 651/682 [===========================>..] - ETA: 17s - loss: 159.8056 - logits_profile_predictions_loss: 158.9736 - logcount_predictions_loss: 0.1541 652/682 [===========================>..] - ETA: 16s - loss: 159.8062 - logits_profile_predictions_loss: 158.9741 - logcount_predictions_loss: 0.1541 653/682 [===========================>..] - ETA: 16s - loss: 159.8067 - logits_profile_predictions_loss: 158.9747 - 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logits_profile_predictions_loss: 158.9787 - logcount_predictions_loss: 0.1541 661/682 [============================>.] - ETA: 11s - loss: 159.8113 - logits_profile_predictions_loss: 158.9793 - logcount_predictions_loss: 0.1541 662/682 [============================>.] - ETA: 11s - loss: 159.8119 - logits_profile_predictions_loss: 158.9799 - logcount_predictions_loss: 0.1541 663/682 [============================>.] - ETA: 10s - loss: 159.8125 - logits_profile_predictions_loss: 158.9805 - logcount_predictions_loss: 0.1541 664/682 [============================>.] - ETA: 10s - loss: 159.8131 - logits_profile_predictions_loss: 158.9811 - logcount_predictions_loss: 0.1541 665/682 [============================>.] - ETA: 9s - loss: 159.8137 - logits_profile_predictions_loss: 158.9817 - logcount_predictions_loss: 0.1541  666/682 [============================>.] - ETA: 9s - loss: 159.8143 - logits_profile_predictions_loss: 158.9823 - logcount_predictions_loss: 0.1541 667/682 [============================>.] - ETA: 8s - loss: 159.8149 - logits_profile_predictions_loss: 158.9829 - logcount_predictions_loss: 0.1541 668/682 [============================>.] - ETA: 7s - loss: 159.8155 - logits_profile_predictions_loss: 158.9835 - logcount_predictions_loss: 0.1541 669/682 [============================>.] - ETA: 7s - loss: 159.8161 - logits_profile_predictions_loss: 158.9841 - logcount_predictions_loss: 0.1541 670/682 [============================>.] - ETA: 6s - loss: 159.8167 - logits_profile_predictions_loss: 158.9846 - logcount_predictions_loss: 0.1541 671/682 [============================>.] - ETA: 6s - loss: 159.8173 - logits_profile_predictions_loss: 158.9852 - logcount_predictions_loss: 0.1541 672/682 [============================>.] - ETA: 5s - loss: 159.8179 - logits_profile_predictions_loss: 158.9858 - logcount_predictions_loss: 0.1541 673/682 [============================>.] - ETA: 5s - loss: 159.8185 - logits_profile_predictions_loss: 158.9864 - logcount_predictions_loss: 0.1541 674/682 [============================>.] - ETA: 4s - loss: 159.8190 - logits_profile_predictions_loss: 158.9869 - logcount_predictions_loss: 0.1541 675/682 [============================>.] - ETA: 3s - loss: 159.8196 - logits_profile_predictions_loss: 158.9875 - logcount_predictions_loss: 0.1541 676/682 [============================>.] - ETA: 3s - loss: 159.8201 - logits_profile_predictions_loss: 158.9880 - logcount_predictions_loss: 0.1541 677/682 [============================>.] - ETA: 2s - loss: 159.8206 - logits_profile_predictions_loss: 158.9885 - logcount_predictions_loss: 0.1541 678/682 [============================>.] - ETA: 2s - loss: 159.8211 - logits_profile_predictions_loss: 158.9890 - logcount_predictions_loss: 0.1541 679/682 [============================>.] - ETA: 1s - loss: 159.8217 - logits_profile_predictions_loss: 158.9896 - logcount_predictions_loss: 0.1541 680/682 [============================>.] - ETA: 1s - loss: 159.8222 - logits_profile_predictions_loss: 158.9901 - logcount_predictions_loss: 0.1541 681/682 [============================>.] - ETA: 0s - loss: 159.8228 - logits_profile_predictions_loss: 158.9907 - logcount_predictions_loss: 0.1541 682/682 [==============================] - ETA: 0s - loss: 159.8234 - logits_profile_predictions_loss: 158.9913 - logcount_predictions_loss: 0.1541 682/682 [==============================] - 400s 587ms/step - loss: 159.8240 - logits_profile_predictions_loss: 158.9919 - logcount_predictions_loss: 0.1541 - val_loss: 172.1360 - val_logits_profile_predictions_loss: 171.3743 - val_logcount_predictions_loss: 0.1411 + +Epoch 00011: val_loss did not improve from 170.44565 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-03-25_13-30-29: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(12512, 10) +loading nonpeaks... +got split:test for bed regions:(12511, 10) +0/98 +2022-03-25_13-33-13: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(12512, 10) +loading nonpeaks... +got split:test for bed regions:(12511, 10) +0/98 +2022-03-25_13-35-43: 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/ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(12512, 10) +loading nonpeaks... +got split:test for bed regions:(12511, 10) +0/98 +2022-03-25_13-37-00: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//footprints +2022-03-25_13-37-00: 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/ENCSR609GST//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/12 [=>............................] - ETA: 1:40 3/12 [======>.......................] - ETA: 7s  4/12 [=========>....................] - ETA: 8s 5/12 [===========>..................] - ETA: 8s 6/12 [==============>...............] - ETA: 7s 7/12 [================>.............] - ETA: 6s 8/12 [===================>..........] - ETA: 5s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 2s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 32s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 15s 3/12 [======>.......................] - ETA: 14s 4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 10s 6/12 [==============>...............] - ETA: 9s  7/12 [================>.............] - ETA: 7s 8/12 [===================>..........] - ETA: 6s 9/12 [=====================>........] - ETA: 4s 10/12 [========================>.....] - ETA: 3s 11/12 [==========================>...] - ETA: 1s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 19s 2s/step +Saving marginal footprints +2022-03-25_13-40-34: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//footprints +2022-03-25_13-40-34: 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/ENCSR609GST//chrombpnet_model_feb15//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/12 [=>............................] - ETA: 35s 3/12 [======>.......................] - ETA: 0s  4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 5s 178ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 134ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step + 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 0s 5/12 [===========>..................] - ETA: 0s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 1s 134ms/step +Saving marginal footprints diff --git a/fold_0/model.bias_scaled.fold_0.ENCSR609GST.h5 b/fold_0/model.bias_scaled.fold_0.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..d35430a42c66c8166035cfe787764966cda57ee6 --- /dev/null +++ b/fold_0/model.bias_scaled.fold_0.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8733ef90c43aae681b9cd2924bf68e9d3b3fa7fd7c04f31dd2ada11137ddbfd +size 2688440 diff --git a/fold_0/model.bias_scaled.fold_0.ENCSR609GST.tar b/fold_0/model.bias_scaled.fold_0.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..ebfc83e142944f14ae786100723dd81b220db7d9 --- /dev/null +++ b/fold_0/model.bias_scaled.fold_0.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a40b509b825711376c6399c0c08a15e03b726251801032594d640cb4a7af9eb8 +size 1208320 diff --git a/fold_0/model.chrombpnet.fold_0.ENCSR609GST.h5 b/fold_0/model.chrombpnet.fold_0.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..b2ff54360b8067d3908de5fb7a274f511c17b8d3 --- /dev/null +++ b/fold_0/model.chrombpnet.fold_0.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9495b048e1be4e55af5318ff8173f6db9bed400d3ad0b7549c5f8bd086b0b42f +size 26448016 diff --git a/fold_0/model.chrombpnet.fold_0.ENCSR609GST.tar b/fold_0/model.chrombpnet.fold_0.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..69a7de0ccf8b22c88fb750739ca6ed93ca01a9d6 --- /dev/null +++ b/fold_0/model.chrombpnet.fold_0.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d0a3c77edd32d8c2eba24371005f65603252efa83ae39f71d1b0c43ef5dca6ef +size 27617280 diff --git a/fold_0/model.chrombpnet_nobias.fold_0.ENCSR609GST.h5 b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..62c89a711112bc436449393a2a80469652d30558 --- /dev/null +++ b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:df226be607d399ace57bf92b30242cc0e4b5e7a3b0368284ea0d17fb265468ca +size 25583536 diff --git a/fold_0/model.chrombpnet_nobias.fold_0.ENCSR609GST.tar b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..315e4390b55e37a6bd13b63a2cdc4f204e82b4a2 --- /dev/null +++ b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ad034e32f4fa3961b995d40799c5b112077559e030ffe4379c158247fed8c8df +size 26081280 diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.args.json b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.args.json new file mode 100644 index 0000000000000000000000000000000000000000..94222ddd0f0042173368f65885821b36e1139206 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.batch_loss.tsv b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..02b1bed2abec60f0885c77fb9d9d0628bc7a3efc --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.batch_loss.tsv @@ -0,0 +1,6841 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 1.385030746459961 186.59356689453125 179.11439514160156 None None None +0 1 129.52423095703125 876.616455078125 177.1856689453125 None None None +0 2 86.73258209228516 641.4363403320312 173.0804443359375 None None None +0 3 65.34735107421875 525.0581665039062 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0.1497156172990799 158.94485473632812 158.1363067626953 None None None +9 587 0.14966373145580292 158.93685913085938 158.12860107421875 None None None +9 588 0.14969441294670105 158.92555236816406 158.11712646484375 None None None +9 589 0.1497046798467636 158.90126037597656 158.09278869628906 None None None +9 590 0.14965909719467163 158.9102020263672 158.1019744873047 None None None +9 591 0.14964725077152252 158.90887451171875 158.10069274902344 None None None +9 592 0.14964790642261505 158.89617919921875 158.0880126953125 None None None +9 593 0.14960961043834686 158.8914031982422 158.08343505859375 None None None +9 594 0.14960075914859772 158.89498901367188 158.08706665039062 None None None +9 595 0.1496557593345642 158.91322326660156 158.10501098632812 None None None +9 596 0.1496065855026245 158.91302490234375 158.10508728027344 None None None +9 597 0.14965833723545074 158.89309692382812 158.08485412597656 None None None +9 598 0.1497058868408203 158.89053344726562 158.08204650878906 None None None +9 599 0.14984796941280365 158.88079833984375 158.07154846191406 None None None +9 600 0.1498996913433075 158.9210205078125 158.11148071289062 None None None +9 601 0.14987461268901825 158.89488220214844 158.08547973632812 None None None +9 602 0.1499110609292984 158.91070556640625 158.10110473632812 None None None +9 603 0.14988595247268677 158.8975372314453 158.0880584716797 None None None +9 604 0.149831160902977 158.91720581054688 158.1080322265625 None None None +9 605 0.14988793432712555 158.9005889892578 158.0911102294922 None None None +9 606 0.14986847341060638 158.88217163085938 158.0727996826172 None None None +9 607 0.14994081854820251 158.8914337158203 158.0816650390625 None None None +9 608 0.1499669849872589 158.8861846923828 158.07626342773438 None None None +9 609 0.14986629784107208 158.8588104248047 158.0494384765625 None None None +9 610 0.14994607865810394 158.84703063964844 158.03724670410156 None None None +9 611 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158.03456115722656 None None None +9 624 0.15055255591869354 158.8594207763672 158.04635620117188 None None None +9 625 0.1504717320203781 158.86764526367188 158.05499267578125 None None None +9 626 0.15056811273097992 158.86123657226562 158.04808044433594 None None None +9 627 0.1505788117647171 158.85044860839844 158.03721618652344 None None None +9 628 0.15058456361293793 158.84437561035156 158.0311279296875 None None None +9 629 0.1505827009677887 158.84588623046875 158.0326385498047 None None None +9 630 0.150495707988739 158.8485565185547 158.0357666015625 None None None +9 631 0.15048743784427643 158.8594512939453 158.04672241210938 None None None +9 632 0.15049408376216888 158.86285400390625 158.0500946044922 None None None +9 633 0.1504732370376587 158.86517333984375 158.05250549316406 None None None +9 634 0.1504868119955063 158.86082458496094 158.048095703125 None None None +9 635 0.15051865577697754 158.8681182861328 158.05520629882812 None None None +9 636 0.15044116973876953 158.8801727294922 158.06768798828125 None None None +9 637 0.15050439536571503 158.87420654296875 158.06137084960938 None None None +9 638 0.15046906471252441 158.84388732910156 158.03125 None None None +9 639 0.15055623650550842 158.84909057617188 158.03598022460938 None None None +9 640 0.1505531221628189 158.8511199951172 158.0380401611328 None None None +9 641 0.15051314234733582 158.8500213623047 158.03713989257812 None None None +9 642 0.15058203041553497 158.85171508789062 158.03846740722656 None None None +9 643 0.15050068497657776 158.84280395507812 158.03001403808594 None None None +9 644 0.15045222640037537 158.84642028808594 158.0338897705078 None None None +9 645 0.150422140955925 158.83164978027344 158.01927185058594 None None None +9 646 0.15039674937725067 158.82485961914062 158.0126190185547 None None None +9 647 0.15034453570842743 158.8113555908203 157.9993896484375 None None None +9 648 0.15033887326717377 158.82225036621094 158.0103302001953 None None None +9 649 0.15035951137542725 158.8150634765625 158.00302124023438 None None None +9 650 0.15032616257667542 158.8003387451172 157.9884796142578 None None None +9 651 0.15030445158481598 158.79928588867188 157.98753356933594 None None None +9 652 0.1502978652715683 158.8292236328125 158.01751708984375 None None None +9 653 0.1504126340150833 158.86752319335938 158.05519104003906 None None None +9 654 0.15046314895153046 158.88446044921875 158.0718536376953 None None None +9 655 0.1506006419658661 158.87777709960938 158.06442260742188 None None None +9 656 0.1505756825208664 158.8876953125 158.07447814941406 None None None +9 657 0.15052515268325806 158.87652587890625 158.06358337402344 None None None +9 658 0.1505732536315918 158.8754425048828 158.06224060058594 None None None +9 659 0.15059389173984528 158.85885620117188 158.0455322265625 None None None +9 660 0.15057016909122467 158.87254333496094 158.059326171875 None None None +9 661 0.15058086812496185 158.8843536376953 158.0710906982422 None None None +9 662 0.1506379246711731 158.88040161132812 158.06683349609375 None None None +9 663 0.1506248265504837 158.87872314453125 158.0652313232422 None None None +9 664 0.15060512721538544 158.8883056640625 158.07492065429688 None None None +9 665 0.1505737006664276 158.8708953857422 158.05767822265625 None None None +9 666 0.15055051445960999 158.86019897460938 158.04710388183594 None None None +9 667 0.1505722999572754 158.85336303710938 158.04014587402344 None None None +9 668 0.15056690573692322 158.8511199951172 158.03793334960938 None None None +9 669 0.15057413280010223 158.85862731933594 158.04541015625 None None None +9 670 0.150549054145813 158.8479766845703 158.03489685058594 None None None +9 671 0.15057149529457092 158.8472442626953 158.0340576171875 None None None +9 672 0.1505238115787506 158.85044860839844 158.03750610351562 None None None +9 673 0.1504681557416916 158.8478240966797 158.03518676757812 None None None +9 674 0.15039563179016113 158.84449768066406 158.03224182128906 None None None +9 675 0.15036185085773468 158.8502197265625 158.0381622314453 None None None +9 676 0.15034431219100952 158.84921264648438 158.0372314453125 None None None +9 677 0.1503867357969284 158.84664916992188 158.03443908691406 None None None +9 678 0.15035364031791687 158.83932495117188 158.0272979736328 None None None +9 679 0.15046225488185883 158.8471221923828 158.03451538085938 None None None +9 680 0.15042909979820251 158.8341064453125 158.02166748046875 None None None +9 681 0.15046696364879608 158.84588623046875 158.03326416015625 None None None +9 682 0.15050624310970306 158.84353637695312 158.0306854248047 None None None +9 683 0.1504521369934082 158.85023498535156 158.03768920898438 None None None diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.bias_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..378b8fdde85e2454ef6e70cb0977ba00e0f5a8f9 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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 15:11:41.109762: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:43.872272: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:43.875971: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 15:11:44.698202: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:07:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 15:11:44.698306: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:44.722001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:44.722146: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:44.733423: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:44.738710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:44.757086: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:44.762065: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:44.763269: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:44.858174: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:44.858599: 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 15:11:44.859599: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:44.892289: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:07:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-14 15:11:44.892378: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:44.892426: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:44.892444: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:44.892461: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:44.892478: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:44.892494: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:44.892509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:44.892525: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:44.949006: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:44.950934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:46.811661: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 15:11:46.811779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 15:11:46.811795: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 15:11:46.818801: 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: 0000:07:00.0, compute capability: 8.0) +2023-07-14 15:11:48.165608: 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.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.bias_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c826e4d583b5494150b77a8936a3752122be1cf --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_1/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_1/new_model_formats/bias_model_scaled diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet.params.json b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..8fff4eea550ae4a5e90bbfde666e7bc2e996150a --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "5.4", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_data_params.tsv b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..c611b7e80688482b0419cf36745a87fd508c85c8 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 10.0 +counts_sum_max_thresh 282.59 +trainings_pts_post_thresh 48698 diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6ce2aa907106d9e06157035735dfc4d67444d51 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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 16:49:20.015669: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.742248: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.748389: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:49:23.804248: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.804344: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.835426: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.835553: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.851634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.859157: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.886981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.894198: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.895886: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.928347: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.928923: 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 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:49:23.930807: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.931578: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.931633: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.931681: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.931708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.931734: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.931760: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.931785: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.931810: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.931836: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.933022: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.935856: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:26.343326: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:49:26.343417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:49:26.343432: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:49:26.347361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30126 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +2023-07-14 16:49:29.290765: 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.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0fcaf35d0b529ccd538d5e760a1aba56625367d --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_1/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_1/new_model_formats/chrombpnet diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_model_params.tsv b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..ae62c0519ab9d5da162238a370d3d1f777ee22c1 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 5.4 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..e79ee01ef86456f76aefb72f5addfa2b962fcbd4 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_1/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_1/new_model_formats/chrombpnet_wo_bias diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..e79ee01ef86456f76aefb72f5addfa2b962fcbd4 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_1/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_1/new_model_formats/chrombpnet_wo_bias diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.epoch_loss.csv b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..edad1919636ee6485821b447b6c9c6b119be3faf --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.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 +0,1.4543887376785278,166.62371826171875,174.47740173339844,0.3106585443019867,180.69468688964844,182.37222290039062 +1,0.23800645768642426,164.94842529296875,166.23367309570312,0.20944179594516754,179.08189392089844,180.2128448486328 +2,0.1971244215965271,163.8204803466797,164.88499450683594,0.19109070301055908,178.55772399902344,179.58961486816406 +3,0.18738806247711182,163.1297149658203,164.14170837402344,0.18939350545406342,178.23269653320312,179.25543212890625 +4,0.18096210062503815,162.58258056640625,163.5597381591797,0.18353469669818878,178.08790588378906,179.07896423339844 +5,0.17727220058441162,162.16734313964844,163.12474060058594,0.16744333505630493,178.38555908203125,179.28976440429688 +6,0.16979511082172394,161.53099060058594,162.44784545898438,0.20725828409194946,178.5663604736328,179.68557739257812 +7,0.16543085873126984,161.01751708984375,161.9109344482422,0.16687163710594177,178.49569702148438,179.3967742919922 +8,0.15190695226192474,159.2935791015625,160.1138458251953,0.1478617787361145,179.03866577148438,179.8370819091797 +9,0.1504521369934082,158.03768920898438,158.85023498535156,0.15025483071804047,179.66693115234375,180.47825622558594 diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stderr.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..f727ceb292b4f95e906eccb3bd8e5847d6182ec8 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stderr.txt @@ -0,0 +1,6061 @@ +2022-09-22 22:57:36.775551: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:12.287624: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:12.289462: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 22:59:12.331639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 22:59:12.331728: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:12.355913: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:12.356070: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:12.369294: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:12.375405: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:12.396552: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:12.402648: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:12.404121: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:12.406243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:12.406622: 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 22:59:12.406705: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:12.407066: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 22:59:12.407102: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:12.407124: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:12.407139: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:12.407153: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:12.407167: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:12.407181: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:12.407195: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:12.407209: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:12.407725: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:12.409280: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:14.001927: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 22:59:14.002022: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 22:59:14.002035: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 22:59:14.006868: 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: 0000:8a:00.0, compute capability: 8.6) +2022-09-22 22:59:14.646861: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 22:59:14.655711: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500145000 Hz +2022-09-22 22:59:14.838123: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:16.447977: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:16.456427: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:22.804491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:22.804685: 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 22:59:22.927345: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.050063: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.170572: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.290837: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.410684: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.535080: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.657067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.779318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:23.901929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.024523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.144497: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.268748: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.388551: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.510875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.629544: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.757528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:24.882642: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.007349: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.127815: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.249745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.370642: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.498326: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.621536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.745711: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.870385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:25.993514: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:26.114345: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:26.236691: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:26.373512: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:26.753128: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:26.877401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.005650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.130214: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.255743: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.380613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.503419: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.623401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.745798: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.872194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:27.997591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.123010: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.245318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.364249: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.483924: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.604164: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.723960: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.844716: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:28.969310: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.088340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.208237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.327256: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.446857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.573038: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.694993: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.813703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:29.934347: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.053287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.173383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.294517: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.414590: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.533833: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.654487: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.773815: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:30.894825: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:31.015865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:31.136532: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:31.255739: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:31.376958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:32.486815: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:32.607431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:32.729047: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:32.849267: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:32.968285: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.088541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.207483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.327327: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.449986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.569926: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.689609: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.825080: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:33.945431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.074629: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.195578: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.323354: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.442173: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.568901: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.747545: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.877995: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:34.999153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:35.129521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:35.248541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:35.370028: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:35.488776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:35.615154: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:35.736021: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:43.649585: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:43.772796: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:43.895818: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.018065: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.140760: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.264862: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.387091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.509867: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.632076: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.754007: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.876307: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:44.998095: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.121524: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.244410: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.366627: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.492179: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.616150: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.740792: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.865567: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:45.987959: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.111314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.233507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.356202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.478770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.603809: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.735875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.859005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:46.981227: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.104190: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.226118: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.352247: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.475468: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.600523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.723402: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.848674: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:47.971406: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.093895: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.216295: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.339580: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.462449: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.585627: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.708910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.835685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:48.962902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.087363: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.209171: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.332456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.455421: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.580177: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.702816: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.825682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:49.947906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.070466: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.194933: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.319811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.441621: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.564761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.687146: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.810479: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:50.933161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.055847: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.178842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.303896: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.426674: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.550486: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.673203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.796470: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:51.919181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.042116: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.164548: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.287358: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.409273: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.534159: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.656157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.779262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:52.902315: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.028155: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.151986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.275636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.399364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.525528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.650365: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.775241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:53.900447: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:54.025222: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:54.149943: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:54.273542: 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 22:59:54.396690: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:54.521199: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:54.643956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:54.768547: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:54.892881: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:55.016881: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:55.140440: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:55.264215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:55.387783: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 22:59:57.334231: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:58.923744: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:58.924517: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 22:59:58.951911: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 22:59:58.951998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:58.954136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:58.954205: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:58.955168: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:58.955352: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:58.957612: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:58.958160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:58.958283: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:58.958912: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:58.959225: 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 22:59:58.959296: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:58.959600: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 22:59:58.959624: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:58.959642: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:58.959657: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:58.959672: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:58.959686: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:58.959700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:58.959715: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:58.959746: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:58.960234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:58.960263: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:59.359236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 22:59:59.359329: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 22:59:59.359341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 22:59:59.360350: 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: 0000:8a:00.0, compute capability: 8.6) +2022-09-22 23:01:10.709425: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:01:10.709893: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500145000 Hz +2022-09-22 23:01:12.089062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:01:12.540970: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:01:12.556616: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:01:14.240887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:14.241072: 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 23:01:14.418772: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:14.597846: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:14.775390: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:14.953395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:15.291360: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:15.470573: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:15.650410: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:15.830373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:16.007873: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:16.188013: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:16.364575: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:16.544865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:16.725638: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:16.904716: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:17.080856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:17.262223: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:17.443203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:17.638547: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:17.814975: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:17.994788: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:18.172771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:18.360661: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:18.540133: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:18.721657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:18.905348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:19.089150: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:19.266558: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:19.447775: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:19.636214: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:19.818751: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:19.996462: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:20.182234: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:20.426831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:20.606776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:20.787357: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:20.965909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:21.143787: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:21.326909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:21.509958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:21.698040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:21.876824: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:22.055931: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:22.235819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:22.415182: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:22.597161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:22.777070: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:22.954417: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:23.140675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:23.317623: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:23.506039: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:23.682389: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:23.872915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:24.050507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:24.239094: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:24.417889: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:24.617246: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:24.797609: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:24.987169: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:25.167759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:25.353966: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:25.534331: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:25.721132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:25.899757: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:26.092758: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:26.273936: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:26.455747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:26.636291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:26.815398: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:26.995841: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:27.177291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:27.353782: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:27.549811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:27.727613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:27.906987: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:28.084713: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:28.265561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:28.443490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:28.621723: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:28.804635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:28.991046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:29.167868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:29.357605: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:29.546430: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:29.741864: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:29.920930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:30.110515: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:30.287066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:30.479541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:30.656833: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:30.847259: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:31.024624: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:31.214213: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:31.392094: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:31.578277: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:31.754615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:31.948108: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:32.127342: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:32.306273: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:32.483279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:32.662557: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:32.839455: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:33.017383: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:33.193458: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:33.372025: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:33.547771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:33.728842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:33.905453: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:34.085454: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:34.262291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:34.440693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:34.618480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:34.885882: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:35.063019: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:35.250794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:35.429734: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:35.617437: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:35.794492: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:35.981296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:36.158886: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:36.349885: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:36.527500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:36.716817: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:36.895083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:37.079883: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:37.256983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:37.442718: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:37.620022: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:37.814543: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:37.991215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:38.184296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:38.360646: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:38.538080: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:38.714391: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:38.890887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:39.067807: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:39.248735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:39.426431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:39.604919: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:39.795855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:39.972687: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:40.150069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:40.330696: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:40.511300: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:40.696187: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:40.875427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:41.063482: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:41.246095: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:41.433229: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:41.612257: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:41.797372: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:41.973556: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:42.164385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:42.342122: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:42.533565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:42.710178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:42.900299: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:43.078388: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:43.263063: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:43.440567: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:43.641594: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:43.821377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:44.013254: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:44.190156: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:44.385161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:44.567767: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:44.761822: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:44.942852: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:45.125927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:45.354283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:45.539244: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:45.719351: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:45.906971: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:46.088692: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:46.280336: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:46.460213: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:46.651294: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:46.831742: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:47.021588: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:47.202238: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:47.393346: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:47.574323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:47.765562: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:47.946017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:48.136293: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:48.318064: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:48.508077: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:48.688120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:48.890753: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:49.072857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:49.261058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:49.444710: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:49.636017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:49.816053: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:50.006316: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:50.186432: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:50.378114: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:50.559928: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:50.750632: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:50.932387: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:51.118769: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:51.298574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:51.487013: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:51.668627: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:51.866745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:52.054733: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:52.247343: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:52.432910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:52.623004: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:52.805062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:52.997415: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:53.177329: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:53.367882: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:53.546738: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:53.737214: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:53.917804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:54.109196: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:54.289082: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:54.485699: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:54.670258: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:54.872723: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:55.061503: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:55.255323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:55.442496: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:55.632939: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:55.817493: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:56.013807: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:56.226603: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:56.414605: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:56.592169: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:56.777078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:56.955489: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:57.158069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:57.334886: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:57.537203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:57.715066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:57.923558: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:58.112522: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:58.323396: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:58.500650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:58.716450: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:58.895375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:59.111929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:59.290512: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:59.470313: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:59.650481: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:01:59.833549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:00.012584: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:00.027608: 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 23:02:00.229903: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:00.408268: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:00.598769: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:00.777697: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:00.970309: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:01.148813: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:01.341014: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:01.519555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:01.706507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:01.886840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:02.075098: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:02.260294: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:02.456155: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:02.645974: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:02.833915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:03.019711: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:03.205777: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:03.389132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:03.574528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:03.760041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:03.984775: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:04.170217: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:04.391580: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:04.575017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:04.852663: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:05.040462: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:05.233880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:05.420126: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:05.757020: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:05.943971: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:06.241784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:06.425856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:06.618573: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:06.805081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:06.998859: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:07.183695: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:07.377875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:07.560930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:07.976269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:08.160466: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:08.371755: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:08.556632: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:08.765169: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:08.951132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:09.190597: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:09.374811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:09.616296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:09.800699: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:10.003800: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:10.189950: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:10.386876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:10.571194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:10.816176: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:10.999735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:11.242406: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:11.425097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:11.620656: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:11.805356: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:12.000120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:12.183897: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:12.381593: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:12.566770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:12.863819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:13.047910: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:13.244719: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:13.428591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:13.625674: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:13.809521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:14.015362: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:14.205409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:14.411506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:14.599252: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:14.804681: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:14.994491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:15.197549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:15.383284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:15.599571: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:15.870225: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:16.080982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:16.259563: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:16.451850: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:16.631142: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:16.823024: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:17.000927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:17.194781: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:17.375134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:17.608160: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:17.786493: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:17.975685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:18.152734: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:18.344241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:18.522466: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:18.711083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:18.891782: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:19.085636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:19.263219: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:19.462239: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:19.641699: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:19.834289: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:20.011673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:20.209602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:20.390615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:20.590161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:20.770194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:20.978874: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:21.156666: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:21.349886: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:21.528322: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:21.725805: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:21.905896: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:22.113954: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:22.293441: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:22.482701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:22.667127: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:22.861314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:23.044630: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:23.236015: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:23.421526: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:23.617725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:23.801084: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:24.007764: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:24.193160: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:24.411459: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:24.594596: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:24.784324: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:24.970693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:25.162956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:25.341533: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:25.529215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:25.707153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:25.899074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:26.078516: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:26.271251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:26.449843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:26.642057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:26.820069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:27.012566: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:27.203110: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:27.399747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:27.578121: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:27.769012: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:27.946951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:28.137838: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:28.316762: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:28.516757: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:28.693780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:28.886352: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:29.063216: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:29.246535: 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 23:02:29.427928: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:29.616620: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:29.795426: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:29.987609: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:30.166477: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:30.357966: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:30.537867: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:30.736400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:30.916476: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:31.190499: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:31.370971: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:31.566682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:31.745648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:31.938376: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:32.118486: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:32.308857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:32.488499: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:32.679292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:32.859201: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:33.065017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:33.247223: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:33.439042: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:33.619373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:33.808500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:33.988601: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:34.176657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:34.355266: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:34.549898: 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 23:02:34.808842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:35.001553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:35.179982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:35.378942: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:35.557277: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:35.747504: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:35.926341: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:36.116819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:36.297835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:36.488796: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:36.668129: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:36.857803: 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 23:02:37.036564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:37.226283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:37.405120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:37.611671: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:37.791183: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:37.980965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:38.162587: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:38.349854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:38.529358: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:38.717058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:38.895111: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:39.086764: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:39.268256: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:39.459387: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:39.638669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:39.835686: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:40.013985: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:40.208363: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:40.386114: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:40.577248: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:40.762504: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:40.951147: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:41.128469: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:41.319066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:41.496705: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:41.685785: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:41.863722: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:42.060717: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:42.238985: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:42.419251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:42.598018: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:42.777671: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:42.955503: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:43.134385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:43.312203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:43.491950: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:43.669808: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:43.848943: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:02:44.026772: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update 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: 0.1291s vs `on_train_batch_end` time: 0.1508s). Check your callbacks. +2022-09-22 23:03:58.751574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:03:58.930136: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:03:59.112367: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:03:59.290961: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:03:59.469545: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:03:59.646677: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:03:59.824982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:00.002526: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:00.180551: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:00.358431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:00.536444: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:00.714281: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:00.907126: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:01.085089: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:01.264851: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:01.443145: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:01.622083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:01.800391: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:01.978972: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:02.157245: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:02.337464: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:02.515514: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:02.693708: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:02.874219: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:03.055453: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:03.233018: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:03.412554: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:03.590606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:03.769067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:03.946986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:04.124506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:04.301578: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:04.482239: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:04.683049: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:04.913874: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:05.090726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:05.268391: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:05.445444: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:05.634721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:05.811205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:05.989235: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:06.166935: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:06.345582: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:06.523234: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:06.700636: 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 23:04:06.876882: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:07.054641: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:07.232286: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:07.511339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:07.688040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:07.871495: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:08.048519: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:08.231070: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:08.408345: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:08.590765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:08.768220: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:08.951983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:09.131054: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:09.316044: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:09.493848: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:09.676178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:09.854189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:10.036062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:10.214203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:10.403424: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:10.580984: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:10.758832: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:10.935924: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:11.114078: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:11.291024: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:11.468613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:11.645930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:11.823725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:12.000260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:12.178696: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:12.355913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:12.567833: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:12.745299: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:12.922193: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:13.097731: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:13.277937: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:13.454065: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:13.638661: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:13.815203: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:13.998939: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:14.175193: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:14.359842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:14.535780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:14.719403: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:14.895964: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:15.080913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:15.258382: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:15.439653: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:15.616461: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:15.798647: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:15.976812: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:16.161005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:16.340648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:16.517490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:16.694099: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:16.870741: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:17.046729: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:17.223325: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:17.401636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:17.578811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:17.755608: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:17.932759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:18.108827: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:18.289866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:18.466243: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:18.643574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:18.822392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:19.006710: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:19.183112: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:19.368207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:19.544738: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:19.725895: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:19.902161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:20.083892: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:20.259517: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:20.442693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:20.618672: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:20.801246: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:20.978674: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:21.159002: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:21.335784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:21.516153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:21.692303: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:21.878686: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:22.055408: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:22.233772: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:22.410544: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:22.630901: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:22.807536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:22.985088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:23.164062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:23.341880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:23.518615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:23.696491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:23.873649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:24.051730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:24.228425: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:24.406074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:24.583089: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:24.764269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:24.939935: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:25.121278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:25.300275: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:25.482066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:25.658944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:25.841167: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:26.017807: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:26.202200: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:26.379076: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:26.561925: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:26.738651: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:26.919861: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:27.096425: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:27.276819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:27.453484: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:27.643212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:27.820085: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:28.004317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:28.181206: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:28.365532: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:28.542731: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:28.726604: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:28.903438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:29.091795: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:29.268572: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:29.456920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:29.633371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:29.810527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:29.987391: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:30.166983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:30.344260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:30.525291: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:30.704152: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:30.886194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:31.062864: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:31.244333: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:31.421983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:31.603403: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:31.780132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:31.962708: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:32.138853: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:32.320720: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:32.497645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:32.681459: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:33.031371: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:33.211859: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:33.388380: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:33.573695: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:33.749876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:33.931520: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:34.107976: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:34.291183: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:34.467170: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:34.648877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:34.905218: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:35.090051: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:35.266646: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:35.449129: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:35.625802: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:35.806184: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:35.982926: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:36.162716: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:36.339137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:36.524043: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:36.700288: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:36.881339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:37.057214: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:37.238379: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:37.414215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:37.593825: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:37.772250: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:37.953998: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:38.132311: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:38.313392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:38.489755: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:38.672521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:38.848782: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:39.031572: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:39.208184: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:39.392958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:39.569250: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:39.749719: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:39.925552: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:40.105500: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:40.283296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:40.463891: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:40.640033: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:40.821628: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:40.998327: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:41.179318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:41.356189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:41.544582: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:41.720885: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:41.908585: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:42.086603: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:42.278220: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:42.454784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:42.646694: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:42.823477: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:43.016903: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:43.193134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:43.389826: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:43.566477: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:43.743653: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:43.920314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:44.097551: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:44.274787: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:44.465377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:44.642310: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:44.824498: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:45.001483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:45.183560: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:45.360618: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:45.542561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:45.719097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:45.901908: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:46.078086: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:46.264267: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:46.444506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:46.631112: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:46.809667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:46.989708: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:47.168138: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:47.347659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:47.526189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:47.705034: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:47.882667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:48.078027: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:48.257865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:48.453252: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:48.630838: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:48.817346: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:48.998780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:49.182955: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:49.361395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:49.598782: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:49.776197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:50.010378: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:50.188074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:50.370866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:50.548484: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:50.731673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:50.909480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:51.092557: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:51.269376: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:51.556721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:51.737441: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:51.926604: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:52.104283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:52.293302: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:52.471212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:52.671088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:52.856563: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:53.062598: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:53.249505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:53.437768: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:53.616866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:53.802337: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:53.980822: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:54.187647: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:54.366761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:54.574058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:54.753035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:54.936227: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:55.114831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:55.299882: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:55.478949: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:55.663279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:55.841577: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:56.073703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:56.252703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:56.437746: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:56.616427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:56.800912: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:56.979519: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:57.170574: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:57.348839: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:57.537298: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:57.718876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:57.907583: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:58.086691: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:58.273061: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:58.488922: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:58.681769: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:58.860101: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:59.054209: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:59.232916: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:59.417298: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:59.597050: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:59.782293: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:04:59.961412: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:00.146339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:00.325132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:00.531538: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:00.710565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:00.896377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:01.074116: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:01.257179: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:01.439735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:01.624196: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:01.803120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:01.986777: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:02.166120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:02.356056: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:02.535389: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:02.723176: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:02.901273: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:03.089600: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:03.268025: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:03.456331: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:03.635870: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:03.820990: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:03.999646: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:04.185833: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:04.365397: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:04.552749: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:04.811793: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:05.008778: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:05.187373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:05.372614: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:05.556134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:05.740860: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:05.920366: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:06.105205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:06.286330: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:06.471745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:06.651118: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:06.840776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:07.020106: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:07.207681: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:07.386260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:07.569944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:07.749499: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:07.932931: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:08.112593: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:08.296522: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:08.476083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:09.218202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:09.397513: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:09.584742: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:09.764399: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:09.949665: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:10.129356: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:10.316470: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:10.497390: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:10.685335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:10.877981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:11.064142: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:11.243701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:11.429507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:11.608830: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:11.798709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:11.977924: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:12.164861: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:12.344005: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:12.525676: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:12.709221: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:12.890235: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:13.083427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:13.271292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:13.450542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:13.635569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:13.814392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:14.000526: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:14.178779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:14.362995: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:14.540031: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:14.723682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:14.901006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:15.084625: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:15.262223: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:15.445102: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:15.625087: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:15.807641: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:15.985693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:16.176725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:16.354197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:16.537782: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:16.715478: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:16.897987: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:17.075217: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:17.259983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:17.438394: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:17.622087: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:17.811708: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:17.994850: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:18.171911: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:18.357760: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:18.535773: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:18.720797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:18.964870: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:19.149193: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:19.326109: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:19.509775: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:19.686518: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:19.869339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:20.047284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:20.230035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:20.407933: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:20.598742: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:20.775843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:20.958898: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:21.137272: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:21.323146: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:21.500534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:21.683380: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:21.861613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:22.045770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:22.224368: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:22.408399: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:22.593035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:22.778340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:22.957199: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:23.143181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:23.321345: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:23.504986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:23.683222: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:23.867241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:24.045949: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:24.230534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:24.408462: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:24.593731: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:24.771854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:24.958030: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:25.136680: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:25.316754: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:25.495382: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:25.672647: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:25.855885: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:26.035612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:26.213958: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:26.393274: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:26.571229: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:26.751972: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:05:26.930008: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:53.014280: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:53.195432: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:53.373890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:53.551899: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:53.729149: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:53.906608: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:54.099042: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:54.276746: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:54.455010: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:54.631680: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:54.808879: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:54.986878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:55.167553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:55.346118: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:55.524855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:55.702860: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:55.882102: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:56.059793: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:56.238748: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:56.415871: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:56.593734: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:56.771079: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:56.949457: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:57.126292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:57.303484: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:57.483238: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:57.661896: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:57.839465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:58.017915: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:58.195317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:58.375338: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:58.554871: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:58.736188: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:58.924447: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:59.101627: 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 23:07:59.278549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:59.455467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:59.633158: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:59.810301: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:07:59.987894: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:00.165553: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:00.342998: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:00.521422: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:00.700710: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:00.878588: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:01.055900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:01.234299: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:01.412432: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:01.591652: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:01.768233: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:01.947878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:02.125202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:02.306024: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:02.484659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:02.664623: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:02.842027: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:03.021621: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:03.199759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:03.380483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:03.559709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:03.741424: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:03.918800: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:04.100032: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:04.277610: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:04.458642: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:04.636659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:04.896933: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:05.074749: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:05.252301: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:05.428630: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:05.606516: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:05.783492: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:05.961189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:06.140698: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:06.318675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:06.495762: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:06.674920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:06.852180: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:07.030280: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:07.207480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:07.388219: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:07.567851: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:07.748388: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:07.925900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:08.176490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:08.355210: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:08.538138: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:08.715708: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:08.895086: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:09.074334: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:09.254148: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:09.431645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:09.612134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:09.788968: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:09.968361: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:10.144853: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:10.327843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:10.506969: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:10.685139: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:10.865135: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:11.045344: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:11.220835: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:11.399097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:11.579172: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:11.756847: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:11.933962: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:12.115174: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:12.292746: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:12.471146: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:12.648624: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:12.827181: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:13.005114: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:13.755326: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:13.934635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:14.114266: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:14.291183: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:14.471863: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:14.648482: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:14.826692: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:15.004736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:15.183438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:15.360596: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:15.539436: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:15.715302: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:15.894659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:16.073537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:16.251613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:16.427913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:16.606989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:16.783790: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:16.961224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:17.137726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:17.314903: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:17.491186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:17.667678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:17.843450: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:18.020164: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:18.195876: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:18.686527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:18.868074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:19.049063: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:19.225555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:19.402528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:19.579081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:19.757505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:19.933946: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:20.112836: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:20.290052: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:20.469929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:20.653352: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:20.840076: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:21.018741: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:21.203956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:21.381582: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:21.564313: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:21.742534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:21.921855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:22.099506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:22.279202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:22.457633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:22.640279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:22.817709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:22.997091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:23.175140: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:23.356409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:23.534269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:23.711920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:23.888777: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:24.069787: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:24.249678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:24.429800: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:24.606499: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:24.784289: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:24.962004: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:25.139684: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:25.317588: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:25.497334: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:25.674507: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:25.854318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:26.031849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:26.210683: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:26.387467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:26.566161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:26.746121: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:26.927655: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:27.106690: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:27.287007: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:27.465144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:27.647075: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:27.825852: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:28.006415: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:28.186558: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:28.368340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:28.547151: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:28.727637: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:28.906165: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:29.086195: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:29.264004: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:29.443409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:29.621531: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:29.801739: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:29.979811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:30.159323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:30.338011: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:30.518555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:30.697409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:30.876302: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:31.054862: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:31.235953: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:31.413894: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:31.593409: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:31.770221: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:31.951515: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:32.130819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:32.309607: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:32.486483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:32.665656: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:32.842966: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:33.021821: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:33.199737: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:33.395575: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:33.670056: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:33.866504: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:34.044279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:34.223971: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:34.401091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:34.580842: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:34.840046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:35.020825: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:35.199211: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:35.378675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:35.556336: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:35.734975: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:35.915755: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:36.094673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:36.273867: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:36.452829: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:36.630255: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:36.809420: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:36.986701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:37.202579: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:37.380563: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:37.597727: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:37.776677: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:37.958725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:38.136250: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:38.319612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:38.498620: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:38.949158: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:39.126080: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:39.309728: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:39.489056: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:39.669384: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:39.846530: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:40.026379: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:40.204602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:40.387041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:40.565267: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:40.746233: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:40.924124: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:41.101307: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:41.281884: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:41.461044: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:08:41.638900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:24.828284: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:42:27.525919: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:42:27.526769: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:42:27.555640: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:42:27.555729: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:42:27.557962: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:42:27.558062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:42:27.559077: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:42:27.559267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:42:27.561613: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:42:27.562228: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:42:27.562368: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:42:27.563067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:42:27.563409: 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 23:42:27.563486: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:42:27.563806: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:42:27.563831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:42:27.563851: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:42:27.563866: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:42:27.563880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:42:27.563895: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:42:27.563909: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:42:27.563922: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:42:27.563937: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:42:27.564466: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:42:27.564497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:42:27.996544: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:42:27.996642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:42:27.996654: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:42:27.997756: 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: 0000:8a:00.0, compute capability: 8.6) +2022-09-22 23:42:47.527452: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:42:47.531270: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500145000 Hz +2022-09-22 23:42:47.625035: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:42:48.136136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:42:48.138547: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:42:49.810284: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:49.810485: 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 23:42:49.927988: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.046517: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.164107: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.282784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.399447: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.519804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.637137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.756932: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.873097: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:50.992924: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.110029: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.229377: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.346997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.465850: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.582119: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.709978: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.825965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:51.947856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.065364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.191061: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.308713: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.430681: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.550017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.671533: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.789269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:52.911554: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.028428: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.153397: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.270463: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.393392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.509602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.656378: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.773478: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:53.895702: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.013391: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.136074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.253550: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.373592: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.491384: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.615362: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.733144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.854666: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:54.972197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:55.094084: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:55.276576: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:55.397429: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:55.513938: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:55.662818: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:55.779912: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:55.943730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:56.063240: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:56.231704: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:56.348523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:56.513649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:56.630825: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:56.803591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:56.924007: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:57.099022: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:57.216762: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:57.368783: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:57.486581: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:57.636207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:57.756904: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:57.934877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.054246: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.178469: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.294784: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.415393: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.534142: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.663761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.778964: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:58.901786: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.018875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.141825: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.258900: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.380466: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.500042: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.623122: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.741132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:42:59.891636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:00.008982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:00.183382: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:00.388459: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:00.561845: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:00.678315: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:00.853709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:00.975944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:01.157826: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:01.275982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:01.457016: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:01.576468: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:01.734777: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:01.853725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.010514: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.129980: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.311505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.429264: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.553126: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.669912: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.793630: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:02.910415: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.031339: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.146580: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.268491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.389243: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.513237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.631991: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.754730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.874618: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:03.995644: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:04.113808: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:04.262852: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:04.380682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:04.549559: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:04.697586: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:04.871188: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:04.989890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:05.155193: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:05.273571: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:05.514042: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:05.641024: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:05.813990: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:05.932292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:06.081928: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:06.199296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:06.349194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:06.466882: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:06.647793: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:06.765934: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:06.889744: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.007920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.130277: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.247347: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.375496: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.492791: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.615720: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.733342: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.855926: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:07.973087: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.093011: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.209638: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.330320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.447847: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.595751: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.715595: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.881323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:08.998746: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:09.164325: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:09.280664: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:09.445159: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:09.563843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:09.733208: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:09.851972: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:10.022964: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:10.139373: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:10.292799: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:10.419685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:10.572238: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:10.689189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:10.900612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:11.016654: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:11.203585: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:11.321107: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:11.510309: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:11.627232: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:11.818555: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:11.935521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.054439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.172790: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.291790: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.409038: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.554506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.670669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.837440: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:12.953262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:13.116913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:13.233365: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:13.396210: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:13.512804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:13.682772: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:13.800704: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:13.969035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:14.084948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:14.244537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:14.361629: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:14.521172: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:14.638026: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:14.834034: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:14.951106: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:15.111706: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:15.228236: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:15.386189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:15.505130: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:15.665128: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:15.781191: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:15.946453: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:16.061633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:16.227067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:16.346805: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:16.490395: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:16.608118: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:16.753335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:16.872748: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:17.063125: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:17.180199: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:17.335703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:17.453802: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:17.610776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:17.727797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:17.894107: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:18.010705: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:18.173806: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:18.291718: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:18.454542: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:18.571517: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:18.753898: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:18.873090: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.022506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.140456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.287345: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.407058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.553936: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.671885: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.826772: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:19.944101: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:20.098769: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:20.215855: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:20.441417: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:20.688197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:20.957739: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.075813: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.240325: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.358505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.522127: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.639160: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.760545: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.877963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:21.999451: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:43:22.116161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.122083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.240307: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.357492: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.473512: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.588446: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.703057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.817759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:03.932118: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.049385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.164968: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.282817: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.398338: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.514037: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.630233: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.804001: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:04.919586: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.035722: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.151132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.267678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.382503: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.498287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.613075: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.728445: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.849094: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:05.964695: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.080033: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.196328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.310929: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.426678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.540967: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.687506: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.802634: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:06.919088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.034892: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.153337: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.269618: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.385324: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.502361: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.618096: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.733840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.850317: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:07.966439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.082293: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.198114: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.314434: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.429682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.546060: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.661521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.779633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:08.894960: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.013977: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.128911: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.246774: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.363044: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.485138: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.602214: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.720380: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.836944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:09.954998: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.073118: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.191821: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.309322: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.429042: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.544931: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.666153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.781519: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:10.898759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:11.015058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:11.131159: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:11.248744: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:11.365499: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:11.481443: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:11.597381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.005376: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.122246: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.237266: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.352556: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.468969: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.583769: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.702374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.822524: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:12.938111: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.056852: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.172418: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.290637: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.407389: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.526603: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.643121: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.761062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.877649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:13.995227: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.112523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.232215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.347328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.468624: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.586001: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.705075: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.825504: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:14.943314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.059272: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.175952: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.291995: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.408780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.523770: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.639933: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.756587: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.873083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:15.992980: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:16.110022: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:16.225466: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:16.340818: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:16.455418: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:16.573815: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:16.688681: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:17.321302: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:17.437052: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:17.554326: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:17.669128: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:17.786690: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:17.902465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.020401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.136348: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.254368: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.371970: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.490765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.607185: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.731050: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.850243: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:18.971785: 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 23:44:19.088296: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:19.205189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:19.323017: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:19.439386: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:19.555054: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:19.673012: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:19.788706: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:19.904639: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.023144: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.140035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.256040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.372984: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.489215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.605592: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.721992: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.839731: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:20.955089: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:21.075058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:21.192225: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:21.309960: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:21.425743: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:21.543734: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:21.660167: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:21.778255: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.025028: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.146459: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.262841: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.380866: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.496328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.613867: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.728995: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.848058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:22.964041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.079976: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.197061: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.315738: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.432297: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.550279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.665771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.784105: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:23.902653: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.021204: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.136509: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.252285: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.367614: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.484343: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.600025: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.717860: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.834422: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:24.954744: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.073062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.193643: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.309154: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.428186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.543671: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.660829: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.777505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:25.895527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.011244: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.128438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.243953: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.360670: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.476703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.595852: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.712096: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.832638: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:26.948362: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:27.277000: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:27.393709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:27.511656: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:27.627787: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:27.746655: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:27.862141: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:27.980115: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.096803: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.213560: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.329137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.445200: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.562640: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.684650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.799898: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:28.918447: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.034274: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.151636: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.267928: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.385533: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.502030: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.620178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.736275: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.853949: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:29.968841: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.101989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.218065: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.351062: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.466877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.584903: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.702703: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.820479: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:30.935799: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.055142: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.175659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.293889: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.409125: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.527007: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.643633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.761123: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.876729: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:31.995178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:32.114602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:32.710414: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:32.827374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:32.979355: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.096804: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.248602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.364582: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.483660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.599982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.719869: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.835191: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:33.954859: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.072215: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.189833: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.304621: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.423944: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.542115: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.687577: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.829536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:34.950485: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:35.066325: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:35.186821: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:35.303452: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:35.418993: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:35.535288: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:35.652843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:44:35.787104: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update 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 23:44:55.686266: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:44:58.031949: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:44:58.032775: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:44:58.061530: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:44:58.061617: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:44:58.063746: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:44:58.063815: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:44:58.064789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:44:58.064972: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:44:58.067234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:44:58.067802: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:44:58.067929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:44:58.068557: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:44:58.068879: 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 23:44:58.068949: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:44:58.069244: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:44:58.069267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:44:58.069285: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:44:58.069300: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:44:58.069320: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:44:58.069352: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:44:58.069367: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:44:58.069381: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:44:58.069395: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:44:58.069871: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:44:58.069902: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:44:58.470576: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:44:58.470666: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:44:58.470679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:44:58.471691: 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: 0000:8a: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 23:45:15.922093: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:45:15.924632: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500145000 Hz +2022-09-22 23:45:15.984137: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:45:16.501358: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:45:16.502932: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:45:18.109580: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:18.109780: 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 23:45:18.222755: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:18.341216: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:18.453898: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:18.570411: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:18.684129: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:18.803392: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:18.920484: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.043082: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.155649: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.275308: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.389668: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.507560: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.621659: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.739717: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:19.852427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.016446: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.130357: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.289321: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.403796: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.566032: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.679154: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.843698: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:20.956249: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:21.125485: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:21.238429: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:21.407484: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:21.521959: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:21.668037: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:21.782868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:21.927498: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:22.040167: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:22.237400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:22.351212: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:22.523751: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:22.672994: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:22.841440: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:22.955725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:23.125180: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:23.239370: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:23.416797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:23.529963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:23.710276: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:23.823363: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:23.973255: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:24.086269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:24.237708: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:24.351319: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:24.551613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:24.664287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:24.825311: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:24.937881: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:25.099961: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:25.212994: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:25.374420: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:25.488801: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:25.656515: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:25.768468: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:25.935393: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:26.048884: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:26.192331: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:26.304920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:26.450956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:26.563854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:26.759091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:26.871863: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.032225: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.144892: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.306554: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.418983: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.579418: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.693207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.862170: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:27.975950: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:28.142623: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:28.255736: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:28.404844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:28.519569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:28.668360: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:28.781186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:28.976895: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:29.092039: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:29.252615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:29.365826: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:29.525231: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:29.639792: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:29.799501: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:29.913503: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:30.079805: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:30.194112: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:30.362240: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:30.475745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:30.633747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:30.747083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:30.903936: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:31.017351: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:31.209013: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:31.322536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:31.480412: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:31.593422: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:31.751602: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:31.864009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:32.031905: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:32.144451: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:32.309020: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:32.421653: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:32.585387: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:32.762286: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:32.902510: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.014000: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.155559: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.272130: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.457626: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.569309: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.723162: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.840071: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:33.991155: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:34.104190: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:34.254806: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:34.369724: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:34.528361: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:34.642445: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:34.838824: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:34.951728: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:35.127605: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:35.240550: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:35.384173: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:35.496108: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:35.639454: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:35.751051: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:35.894773: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:36.006527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:36.157937: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:36.271510: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:36.421515: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:36.534026: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:36.755750: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:36.869168: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:37.128437: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:37.241491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:37.402054: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:37.517849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:37.678449: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:37.791010: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:37.907965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:38.022991: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:38.139126: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:45:38.252734: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:15.458157: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:15.572766: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:15.687153: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:15.802237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:15.917194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.035535: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.150040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.265726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.380318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.494246: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.608486: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.721974: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.835244: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:16.950133: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.063951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.180177: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.296198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.409832: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.526350: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.639773: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.755480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.866752: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:17.982066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:18.096335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:18.214246: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:18.327779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:18.444121: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:18.557698: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:21.452154: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:21.566364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:21.684189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:21.797761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:21.915189: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.028655: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.144407: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.257726: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.373988: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.487385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.603764: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.717683: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.833279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:22.983438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.137868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.273619: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.389976: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.503657: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.620278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.733719: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.850766: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:23.965691: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.082978: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.292975: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.408439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.523057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.638319: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.752226: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.868081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:24.981527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.099413: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.213120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.328985: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.442667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.558072: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.672520: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.791364: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:25.905134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.023913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.151407: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.283046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.397261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.527374: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.641322: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.759190: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.873263: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:26.989474: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.103886: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.220776: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.335289: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.451948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.565543: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.682530: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.796311: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:27.913040: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.026514: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.142920: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.256142: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.374880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.512819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.628198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.742429: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.858069: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:28.973813: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.089526: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.202224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.317591: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.431098: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.548355: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.664293: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.780237: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:29.894667: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.012159: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.126092: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.242030: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.355318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.472658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.587108: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.703376: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.818030: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:30.935134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.050948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.166727: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.280831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.398817: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.513275: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.628440: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.742742: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.860120: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:31.974019: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.089629: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.203008: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.318420: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.432188: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.547597: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.661606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.791572: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:32.908252: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.038572: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.152902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.268350: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.381468: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.499812: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.618968: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.736229: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.850969: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:33.966682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.080797: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.196903: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.311282: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.427129: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.541816: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.677584: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.825029: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:34.944123: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.058269: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.207639: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.321870: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.470596: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.584780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.701993: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.816401: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:35.934599: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.049278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.169248: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.283621: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.400510: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.519081: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.636057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.750328: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.872702: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:36.986613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.106318: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.221211: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.339489: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.453242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.567398: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.681422: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.795673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:46:37.909476: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update 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 23:46:57.017264: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:46:59.354131: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:46:59.354938: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:46:59.383870: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:46:59.383954: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:46:59.386094: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:46:59.386152: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:46:59.387118: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:46:59.387302: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:46:59.389561: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:46:59.390107: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:46:59.390234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:46:59.390883: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:46:59.391200: 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 23:46:59.391268: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:46:59.391578: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:46:59.391602: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:46:59.391622: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:46:59.391639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:46:59.391655: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:46:59.391671: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:46:59.391704: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:46:59.391722: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:46:59.391739: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:46:59.392243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:46:59.392276: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:46:59.790692: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:46:59.790784: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:46:59.790796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:46:59.791833: 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: 0000:8a:00.0, compute capability: 8.6) +2022-09-22 23:47:17.315608: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:47:17.317365: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500145000 Hz +2022-09-22 23:47:17.354731: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:47:17.839792: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:47:17.841310: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:47:19.443528: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:19.443711: 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 23:47:19.557802: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:19.684025: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:19.798415: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:19.917791: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.033292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.148721: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.263799: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.380235: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.495581: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.612593: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.727598: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.844400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:20.960179: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.077478: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.191878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.314457: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.431868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.554844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.669810: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.788389: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:21.907458: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.027137: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.141308: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.261532: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.378440: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.498949: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.613379: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.730672: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.847660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:22.966412: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.080689: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.206336: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.322092: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.442981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.558965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.677355: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.794615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:23.912665: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.026902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.147543: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.264161: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.383633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.498679: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.618006: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.735463: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.854599: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:24.968965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.094615: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.210635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.336070: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.450599: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.569808: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.687148: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.806259: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:25.921789: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.041344: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.158007: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.278145: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.395438: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.515858: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.630082: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.750117: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.865727: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:26.991188: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.105717: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.228263: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.342186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.460476: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.574260: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.693916: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.808560: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:27.928295: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.043986: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.169174: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.284140: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.402780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.517381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.636985: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.752570: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:28.913235: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:29.027856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:29.214146: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:29.328725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:29.518088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:29.635085: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:29.823844: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:29.938837: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:30.055635: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:30.171523: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:30.288047: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:30.403316: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:34.929783: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.044183: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.159147: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.273928: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.388838: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.502037: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.618564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.731785: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.845954: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:35.960047: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.073794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.187046: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.301728: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.416096: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.533326: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.647267: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.762327: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.876775: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:36.991275: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.105336: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.221727: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.335965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.450295: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.563997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.679993: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.794192: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:37.908485: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.022483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.137529: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.251090: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.367806: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.481843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.597107: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.711704: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.826352: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:38.940773: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.056834: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.170890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.285337: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.398675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.512637: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.629041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.743008: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.859033: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:39.973320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.086565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.201060: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.314938: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.430279: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.546975: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.661521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.775314: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:40.901684: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.014951: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.129194: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.245091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.359234: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.474197: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.588426: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.702394: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.816111: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:41.929771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.046673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.163051: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.278486: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.392604: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.507242: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.621979: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.742479: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.856745: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:42.971868: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.085489: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.200927: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.316076: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.430995: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.545905: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.661688: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.778301: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:43.893534: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.008134: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.125186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.239226: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.355622: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.475603: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.591443: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.706034: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.821999: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:44.937033: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:45.055906: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:45.336357: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:45.452909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:45.567074: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:45.682524: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:45.796811: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:45.913884: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:47:46.030331: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update 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 23:48:06.899031: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:48:08.041759: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:48:08.042582: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:48:08.070448: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:48:08.070539: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:48:08.072639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:48:08.072700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:48:08.073704: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:48:08.073888: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:48:08.076140: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:48:08.076693: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:48:08.076819: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:48:08.077457: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:48:08.077784: 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 23:48:08.077860: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:48:08.078171: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:48:08.078216: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:48:08.078234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:48:08.078249: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:48:08.078264: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:48:08.078278: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:48:08.078293: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:48:08.078311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:48:08.078326: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:48:08.078834: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:48:08.078868: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:48:08.479580: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:48:08.479665: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:48:08.479677: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:48:08.480674: 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: 0000:8a: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 23:48:12.893480: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:48:12.894003: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500145000 Hz +2022-09-22 23:48:13.090287: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:48:13.580150: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:48:13.581910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:48:15.143400: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.143584: 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 23:48:15.238699: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.343083: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.436388: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.544004: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.637596: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.740853: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.834198: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:15.940787: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.036856: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.141202: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.238009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.340689: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.438274: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.543324: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.637091: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.874434: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:16.968160: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:17.163814: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:17.257431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:17.455612: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:17.551749: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:17.715646: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:17.809790: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:17.974747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:18.068861: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:18.408472: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:18.502614: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:18.721701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:18.817948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:19.038057: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:19.132087: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:19.502769: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:19.596837: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:19.794589: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:19.888885: 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 23:48:20.084034: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:20.178554: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:20.346685: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:20.440480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:20.606610: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:20.702032: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.020965: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.116495: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.312794: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.406365: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.601767: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.697547: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.872045: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:21.965643: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:22.138085: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:22.232622: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:22.514749: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:22.607971: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:22.799963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:22.893637: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:23.086476: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:23.179686: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:23.373067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:23.466576: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:23.715029: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:23.808725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:23.993943: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:24.087648: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:24.272904: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:24.366688: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:24.553456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:24.647059: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:24.883435: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:24.976902: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:25.156287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:25.250221: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:25.451350: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:25.544827: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:25.721456: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:25.814909: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.035503: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.131047: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.289645: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.383939: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.543780: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.637447: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.797425: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:26.891852: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:27.064356: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:27.158569: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:27.331815: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:27.425187: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:27.721412: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:27.817410: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:28.214864: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:28.307953: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:28.510323: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:28.604241: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:28.805073: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:28.897982: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:28.999042: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:29.093115: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:29.193139: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:29.286917: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.030367: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.125344: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.225948: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.320195: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.419960: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.515053: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.613694: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.708537: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.809251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:38.904872: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.003907: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.098863: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.198779: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.293205: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.392311: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.486513: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.635294: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.727658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.876586: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:39.972586: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.124701: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.218540: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.370421: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.464491: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.625694: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.719368: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.879712: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:40.974302: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.111178: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.205735: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.340660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.437391: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.628979: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.723480: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.885994: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:41.980066: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:42.141008: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:42.235104: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:42.397475: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:42.491997: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:42.662981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:42.757513: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:42.927549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.025549: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.167908: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.262663: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.403675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.497340: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.692439: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.787536: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:43.939742: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.034160: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.186165: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.280831: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.431750: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.526071: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.687666: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.781669: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:44.944714: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:45.038633: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:45.171963: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:45.266088: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:45.398762: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:45.722723: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:45.915704: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.012150: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.163427: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.257940: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.408486: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.503037: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.651987: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.746643: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.904320: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:46.999149: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:47.155532: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:47.250262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:47.387730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:47.482133: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:47.619543: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:47.714251: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:47.905176: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.001862: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.149490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.244053: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.391283: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.485981: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.636186: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.730460: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.888828: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:48.986087: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.142930: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.236516: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.382472: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.476923: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.624622: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.718850: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.904783: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:49.999369: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.143529: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.237894: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.383693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.478785: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.625845: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.720195: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.871450: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:50.966026: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.119147: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.213989: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.342277: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.436650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.566035: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.660143: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.837065: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:51.931151: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.071976: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.166886: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.307102: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.401114: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.543058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.637132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.784953: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:52.878535: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.026541: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.120956: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.288494: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.386115: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.517316: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.611875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.743132: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.836818: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:53.967067: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:54.061650: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:54.200158: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:54.294557: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:54.434832: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:54.529313: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:54.749465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:54.844308: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:55.113312: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:55.207843: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:55.363103: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:55.457798: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:55.608244: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:55.702730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:56.139943: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:56.234009: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:56.332819: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:48:56.427375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update 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/ENCSR609GST//chrombpnet_model_feb15_fold_1//footprints’: File exists +2022-09-22 23:50:31.423682: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:50:32.555084: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:50:32.555880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:50:32.584111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:50:32.584202: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:50:32.586344: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:50:32.586418: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:50:32.587403: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:50:32.587585: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:50:32.589837: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:50:32.590390: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:50:32.590515: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:50:32.591111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:50:32.591443: 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 23:50:32.591518: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:50:32.591807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a: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 23:50:32.591835: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:50:32.591852: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:50:32.591867: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:50:32.591882: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:50:32.591896: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:50:32.591910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:50:32.591924: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:50:32.591938: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:50:32.592407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:50:32.592441: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:50:33.007111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:50:33.007222: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:50:33.007234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:50:33.008143: 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: 0000:8a:00.0, compute capability: 8.6) +2022-09-22 23:50:37.549859: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:50:37.550391: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500145000 Hz +2022-09-22 23:50:37.687550: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:50:38.188000: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:50:38.189709: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:50:39.719865: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:39.720051: 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 23:50:39.814282: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:39.923262: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.018075: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.125063: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.223502: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.330730: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.424922: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.532893: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.629465: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.735755: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.831385: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:40.931381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.025759: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.123224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.217561: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.340754: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.434606: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.539693: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.636396: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.739381: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.833516: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:41.934875: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.034063: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.142931: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.237914: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.342887: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.437704: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.540380: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.637150: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.769878: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.864836: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:42.983467: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.078278: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.184449: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.279135: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.381224: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.475675: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.580521: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.675335: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.780678: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.875609: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:43.980833: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.075613: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.179533: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.274044: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.375729: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.472188: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.591263: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.685885: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.791482: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.888840: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:44.993857: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.088691: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.190747: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.285710: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.390862: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.488505: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.594002: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.689164: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.793437: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.889351: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:45.999431: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.095451: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.212333: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.306604: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.414026: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.509004: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.611501: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.705877: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.808660: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:46.906684: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.011765: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.105973: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.210854: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.305020: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.410816: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.508568: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.610673: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.705479: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.860256: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:47.954941: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:48.308527: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:48.403497: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:48.544217: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:48.638798: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:48.781133: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:48.879299: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:48.979938: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:49.075407: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:49.173758: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:49.267849: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.147725: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.242788: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.338789: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.433692: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.529229: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.623594: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.719845: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.814396: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:50.910497: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.005853: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.102642: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.197656: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.294880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.389405: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.485513: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.580565: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.684443: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.778912: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.880582: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:51.975334: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.075168: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.172020: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.270914: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.367257: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.469149: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.563754: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.664326: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.759488: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.859064: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:52.953459: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.054130: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.149106: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.256890: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.352758: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.452837: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.546993: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.646554: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.742579: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.841444: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:53.936516: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.038619: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.132666: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.233492: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.330880: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.430517: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.530394: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.630107: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.726564: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.834647: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:54.929261: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.030771: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.126023: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.228058: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.324129: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.422709: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.516913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.617913: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.712490: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.813041: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:55.908174: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.011629: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.106102: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.206658: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.301477: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.408388: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.504163: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.604300: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.701239: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.800710: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.894851: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:56.992926: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.087647: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.188287: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.282514: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.383674: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.479550: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.578483: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.673682: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:57.772375: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:58.324207: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:58.469985: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:58.564676: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:58.746723: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:58.843080: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:58.964292: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:59.058921: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:59.179761: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:59.280653: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:59.377882: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:59.473111: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:59.570345: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update your CUDA version to get the best performance. The ptxas error was: ptxas fatal : Value 'sm_86' is not defined for option 'gpu-name' + +2022-09-22 23:50:59.665025: W tensorflow/stream_executor/gpu/asm_compiler.cc:235] Your CUDA software stack is old. We fallback to the NVIDIA driver for some compilation. Update 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_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stdout.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2606d3c89b67c171e152af51ad634493ae18e01 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stdout.txt @@ -0,0 +1,463 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json +Thu Sep 22 22:57:35 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 | 00000000:8A:00.0 Off | N/A | +| 31% 31C P8 23W / 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_22-57-35: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 45220 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 45220 +Number of peaks input: 11453 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 11453 +Number of non peaks input: 45332 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 45332 +Number of non peaks input: 11340 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 11340 +Number of peaks after removing outliers: 44722 +Number of nonpeaks after removing outliers: 39651 +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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1240/1240 [==============================] - ETA: 0s 1240/1240 [==============================] - 41s 16ms/step +2022-09-22_22-59-57: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(39767, 10) +loading nonpeaks... +got split:train for bed regions:(35148, 10) +loading peaks... +got split:valid for bed regions:(4955, 10) +loading nonpeaks... +got split:valid for bed regions:(4503, 10) +Epoch 1/50 + 1/684 [..............................] - ETA: 17:42:09 - loss: 186.5936 - logits_profile_predictions_loss: 179.1144 - logcount_predictions_loss: 1.3850 2/684 [..............................] - ETA: 3:33 - loss: 531.6050 - logits_profile_predictions_loss: 178.1500 - logcount_predictions_loss: 65.4546  3/684 [..............................] - ETA: 3:31 - loss: 568.2155 - logits_profile_predictions_loss: 176.4602 - logcount_predictions_loss: 72.5473 4/684 [..............................] - ETA: 3:31 - loss: 557.4261 - logits_profile_predictions_loss: 175.3908 - logcount_predictions_loss: 70.7473 5/684 [..............................] - ETA: 3:30 - loss: 538.0042 - logits_profile_predictions_loss: 175.5733 - logcount_predictions_loss: 67.1168 6/684 [..............................] - ETA: 3:30 - loss: 516.9291 - logits_profile_predictions_loss: 175.2926 - logcount_predictions_loss: 63.2660 7/684 [..............................] - ETA: 3:29 - loss: 497.0228 - logits_profile_predictions_loss: 174.9476 - logcount_predictions_loss: 59.6435 8/684 [..............................] - ETA: 3:29 - loss: 478.7019 - logits_profile_predictions_loss: 174.4184 - logcount_predictions_loss: 56.3488 9/684 [..............................] - ETA: 3:28 - loss: 462.2869 - logits_profile_predictions_loss: 173.9770 - logcount_predictions_loss: 53.3907 10/684 [..............................] - ETA: 3:28 - loss: 447.6851 - logits_profile_predictions_loss: 173.6826 - logcount_predictions_loss: 50.7412 11/684 [..............................] - ETA: 3:27 - loss: 434.5547 - logits_profile_predictions_loss: 173.4082 - logcount_predictions_loss: 48.3605 12/684 [..............................] - ETA: 3:27 - loss: 422.7957 - logits_profile_predictions_loss: 173.2331 - logcount_predictions_loss: 46.2153 13/684 [..............................] - ETA: 3:27 - loss: 412.1355 - logits_profile_predictions_loss: 173.0629 - logcount_predictions_loss: 44.2727 14/684 [..............................] - ETA: 3:26 - loss: 402.5196 - logits_profile_predictions_loss: 172.9818 - logcount_predictions_loss: 42.5070 15/684 [..............................] - ETA: 3:26 - loss: 393.7011 - logits_profile_predictions_loss: 172.8701 - logcount_predictions_loss: 40.8946 16/684 [..............................] - ETA: 3:26 - loss: 385.6266 - logits_profile_predictions_loss: 172.7747 - logcount_predictions_loss: 39.4170 17/684 [..............................] - ETA: 3:25 - loss: 378.1727 - logits_profile_predictions_loss: 172.6637 - logcount_predictions_loss: 38.0572 18/684 [..............................] - ETA: 3:25 - loss: 371.2914 - logits_profile_predictions_loss: 172.5599 - logcount_predictions_loss: 36.8021 19/684 [..............................] - ETA: 3:25 - loss: 364.8928 - logits_profile_predictions_loss: 172.4415 - logcount_predictions_loss: 35.6391 20/684 [..............................] - ETA: 3:24 - loss: 358.9605 - logits_profile_predictions_loss: 172.3440 - logcount_predictions_loss: 34.5586 21/684 [..............................] - ETA: 3:24 - loss: 353.4112 - logits_profile_predictions_loss: 172.2339 - logcount_predictions_loss: 33.5513 22/684 [..............................] - ETA: 3:24 - loss: 348.2670 - logits_profile_predictions_loss: 172.1679 - logcount_predictions_loss: 32.6109 23/684 [>.............................] - ETA: 3:23 - loss: 343.4471 - logits_profile_predictions_loss: 172.1037 - logcount_predictions_loss: 31.7302 24/684 [>.............................] - ETA: 3:23 - loss: 338.9323 - logits_profile_predictions_loss: 172.0520 - logcount_predictions_loss: 30.9037 25/684 [>.............................] - ETA: 3:23 - loss: 334.6694 - logits_profile_predictions_loss: 171.9883 - logcount_predictions_loss: 30.1261 26/684 [>.............................] - ETA: 3:22 - loss: 330.6394 - logits_profile_predictions_loss: 171.9174 - logcount_predictions_loss: 29.3930 27/684 [>.............................] - ETA: 3:22 - loss: 326.8264 - logits_profile_predictions_loss: 171.8438 - logcount_predictions_loss: 28.7005 28/684 [>.............................] - ETA: 3:22 - loss: 323.2095 - logits_profile_predictions_loss: 171.7652 - logcount_predictions_loss: 28.0452 29/684 [>.............................] - ETA: 3:21 - loss: 319.7850 - logits_profile_predictions_loss: 171.6930 - logcount_predictions_loss: 27.4244 30/684 [>.............................] - ETA: 3:21 - loss: 316.5174 - logits_profile_predictions_loss: 171.6087 - logcount_predictions_loss: 26.8349 31/684 [>.............................] - ETA: 3:21 - loss: 313.4102 - logits_profile_predictions_loss: 171.5275 - logcount_predictions_loss: 26.2746 32/684 [>.............................] - ETA: 3:20 - loss: 310.4517 - logits_profile_predictions_loss: 171.4497 - logcount_predictions_loss: 25.7411 33/684 [>.............................] - ETA: 3:20 - loss: 307.6321 - logits_profile_predictions_loss: 171.3765 - logcount_predictions_loss: 25.2325 34/684 [>.............................] - ETA: 3:20 - loss: 304.9297 - logits_profile_predictions_loss: 171.2965 - logcount_predictions_loss: 24.7469 35/684 [>.............................] - ETA: 3:19 - loss: 302.3420 - logits_profile_predictions_loss: 171.2153 - logcount_predictions_loss: 24.2827 36/684 [>.............................] - ETA: 3:19 - loss: 299.8676 - logits_profile_predictions_loss: 171.1380 - logcount_predictions_loss: 23.8388 37/684 [>.............................] - ETA: 3:19 - loss: 297.5042 - logits_profile_predictions_loss: 171.0694 - logcount_predictions_loss: 23.4139 38/684 [>.............................] - ETA: 3:18 - loss: 295.2343 - logits_profile_predictions_loss: 171.0001 - logcount_predictions_loss: 23.0063 39/684 [>.............................] - ETA: 3:18 - loss: 293.0602 - logits_profile_predictions_loss: 170.9375 - logcount_predictions_loss: 22.6153 40/684 [>.............................] - ETA: 3:18 - loss: 290.9728 - logits_profile_predictions_loss: 170.8785 - logcount_predictions_loss: 22.2397 41/684 [>.............................] - ETA: 3:17 - loss: 288.9781 - logits_profile_predictions_loss: 170.8330 - logcount_predictions_loss: 21.8787 42/684 [>.............................] - ETA: 3:17 - loss: 287.0561 - logits_profile_predictions_loss: 170.7864 - logcount_predictions_loss: 21.5314 43/684 [>.............................] - ETA: 3:17 - loss: 285.2025 - logits_profile_predictions_loss: 170.7392 - logcount_predictions_loss: 21.1969 44/684 [>.............................] - ETA: 3:17 - loss: 283.4077 - logits_profile_predictions_loss: 170.6863 - logcount_predictions_loss: 20.8743 45/684 [>.............................] - ETA: 3:16 - loss: 281.6741 - logits_profile_predictions_loss: 170.6333 - logcount_predictions_loss: 20.5631 46/684 [=>............................] - ETA: 3:16 - loss: 280.0013 - logits_profile_predictions_loss: 170.5828 - logcount_predictions_loss: 20.2627 47/684 [=>............................] - ETA: 3:16 - loss: 278.3766 - logits_profile_predictions_loss: 170.5257 - logcount_predictions_loss: 19.9724 48/684 [=>............................] - ETA: 3:15 - loss: 276.8131 - logits_profile_predictions_loss: 170.4769 - logcount_predictions_loss: 19.6919 49/684 [=>............................] - ETA: 3:15 - loss: 275.2964 - logits_profile_predictions_loss: 170.4254 - logcount_predictions_loss: 19.4206 50/684 [=>............................] - ETA: 3:15 - loss: 273.8286 - logits_profile_predictions_loss: 170.3755 - logcount_predictions_loss: 19.1580 51/684 [=>............................] - ETA: 3:14 - loss: 272.4060 - logits_profile_predictions_loss: 170.3259 - logcount_predictions_loss: 18.9037 52/684 [=>............................] - ETA: 3:14 - loss: 271.0340 - logits_profile_predictions_loss: 170.2838 - logcount_predictions_loss: 18.6574 53/684 [=>............................] - ETA: 3:14 - loss: 269.7086 - logits_profile_predictions_loss: 170.2473 - logcount_predictions_loss: 18.4187 54/684 [=>............................] - ETA: 3:14 - loss: 268.4214 - logits_profile_predictions_loss: 170.2103 - logcount_predictions_loss: 18.1872 55/684 [=>............................] - ETA: 3:13 - loss: 267.1732 - logits_profile_predictions_loss: 170.1756 - logcount_predictions_loss: 17.9625 56/684 [=>............................] - ETA: 3:13 - loss: 265.9613 - logits_profile_predictions_loss: 170.1415 - logcount_predictions_loss: 17.7444 57/684 [=>............................] - ETA: 3:13 - loss: 264.7854 - logits_profile_predictions_loss: 170.1095 - logcount_predictions_loss: 17.5326 58/684 [=>............................] - ETA: 3:12 - loss: 263.6427 - logits_profile_predictions_loss: 170.0788 - logcount_predictions_loss: 17.3266 59/684 [=>............................] - ETA: 3:12 - loss: 262.5360 - logits_profile_predictions_loss: 170.0529 - logcount_predictions_loss: 17.1265 60/684 [=>............................] - ETA: 3:12 - loss: 261.4624 - logits_profile_predictions_loss: 170.0304 - logcount_predictions_loss: 16.9318 61/684 [=>............................] - ETA: 3:11 - loss: 260.4177 - logits_profile_predictions_loss: 170.0087 - logcount_predictions_loss: 16.7424 62/684 [=>............................] - ETA: 3:11 - loss: 259.3984 - logits_profile_predictions_loss: 169.9854 - logcount_predictions_loss: 16.5580 63/684 [=>............................] - ETA: 3:11 - loss: 258.4048 - logits_profile_predictions_loss: 169.9620 - logcount_predictions_loss: 16.3783 64/684 [=>............................] - ETA: 3:11 - loss: 257.4359 - logits_profile_predictions_loss: 169.9384 - logcount_predictions_loss: 16.2032 65/684 [=>............................] - ETA: 3:10 - loss: 256.4897 - logits_profile_predictions_loss: 169.9135 - logcount_predictions_loss: 16.0326 66/684 [=>............................] - ETA: 3:10 - loss: 255.5695 - logits_profile_predictions_loss: 169.8913 - logcount_predictions_loss: 15.8663 67/684 [=>............................] - ETA: 3:10 - loss: 254.6693 - logits_profile_predictions_loss: 169.8673 - logcount_predictions_loss: 15.7041 68/684 [=>............................] - ETA: 3:09 - loss: 253.7888 - logits_profile_predictions_loss: 169.8419 - logcount_predictions_loss: 15.5457 69/684 [==>...........................] - ETA: 3:09 - loss: 252.9291 - logits_profile_predictions_loss: 169.8170 - logcount_predictions_loss: 15.3911 70/684 [==>...........................] - ETA: 3:09 - loss: 252.0838 - logits_profile_predictions_loss: 169.7871 - logcount_predictions_loss: 15.2401 71/684 [==>...........................] - ETA: 3:08 - loss: 251.2585 - logits_profile_predictions_loss: 169.7582 - logcount_predictions_loss: 15.0927 72/684 [==>...........................] - ETA: 3:08 - loss: 250.4518 - logits_profile_predictions_loss: 169.7298 - logcount_predictions_loss: 14.9485 73/684 [==>...........................] - ETA: 3:08 - loss: 249.6657 - logits_profile_predictions_loss: 169.7039 - logcount_predictions_loss: 14.8077 74/684 [==>...........................] - ETA: 3:08 - loss: 248.8949 - logits_profile_predictions_loss: 169.6767 - logcount_predictions_loss: 14.6700 75/684 [==>...........................] - ETA: 3:07 - loss: 248.1400 - logits_profile_predictions_loss: 169.6490 - logcount_predictions_loss: 14.5354 76/684 [==>...........................] - ETA: 3:07 - loss: 247.4039 - logits_profile_predictions_loss: 169.6239 - logcount_predictions_loss: 14.4037 77/684 [==>...........................] - ETA: 3:07 - loss: 246.6835 - logits_profile_predictions_loss: 169.5994 - logcount_predictions_loss: 14.2748 78/684 [==>...........................] - ETA: 3:06 - loss: 245.9800 - logits_profile_predictions_loss: 169.5767 - logcount_predictions_loss: 14.1488 79/684 [==>...........................] - ETA: 3:06 - loss: 245.2923 - logits_profile_predictions_loss: 169.5553 - logcount_predictions_loss: 14.0254 80/684 [==>...........................] - ETA: 3:06 - loss: 244.6174 - logits_profile_predictions_loss: 169.5328 - logcount_predictions_loss: 13.9046 81/684 [==>...........................] - ETA: 3:05 - loss: 243.9581 - logits_profile_predictions_loss: 169.5123 - logcount_predictions_loss: 13.7863 82/684 [==>...........................] - ETA: 3:05 - loss: 243.3149 - logits_profile_predictions_loss: 169.4945 - logcount_predictions_loss: 13.6704 83/684 [==>...........................] - ETA: 3:05 - loss: 242.6826 - logits_profile_predictions_loss: 169.4753 - logcount_predictions_loss: 13.5569 84/684 [==>...........................] - ETA: 3:04 - loss: 242.0635 - logits_profile_predictions_loss: 169.4570 - logcount_predictions_loss: 13.4456 85/684 [==>...........................] - ETA: 3:04 - loss: 241.4557 - logits_profile_predictions_loss: 169.4382 - logcount_predictions_loss: 13.3366 86/684 [==>...........................] - ETA: 3:04 - loss: 240.8583 - logits_profile_predictions_loss: 169.4182 - logcount_predictions_loss: 13.2296 87/684 [==>...........................] - ETA: 3:04 - loss: 240.2729 - logits_profile_predictions_loss: 169.3993 - logcount_predictions_loss: 13.1247 88/684 [==>...........................] - ETA: 3:03 - loss: 239.6988 - logits_profile_predictions_loss: 169.3809 - logcount_predictions_loss: 13.0218 89/684 [==>...........................] - ETA: 3:03 - loss: 239.1354 - logits_profile_predictions_loss: 169.3625 - logcount_predictions_loss: 12.9209 90/684 [==>...........................] - ETA: 3:03 - loss: 238.5809 - logits_profile_predictions_loss: 169.3430 - logcount_predictions_loss: 12.8218 91/684 [==>...........................] - ETA: 3:02 - loss: 238.0369 - logits_profile_predictions_loss: 169.3240 - logcount_predictions_loss: 12.7246 92/684 [===>..........................] - ETA: 3:02 - loss: 237.5033 - logits_profile_predictions_loss: 169.3057 - logcount_predictions_loss: 12.6292 93/684 [===>..........................] - ETA: 3:02 - loss: 236.9789 - logits_profile_predictions_loss: 169.2875 - logcount_predictions_loss: 12.5354 94/684 [===>..........................] - ETA: 3:01 - loss: 236.4643 - logits_profile_predictions_loss: 169.2699 - logcount_predictions_loss: 12.4434 95/684 [===>..........................] - ETA: 3:01 - loss: 235.9600 - logits_profile_predictions_loss: 169.2536 - logcount_predictions_loss: 12.3530 96/684 [===>..........................] - ETA: 3:01 - loss: 235.4624 - logits_profile_predictions_loss: 169.2357 - logcount_predictions_loss: 12.2642 97/684 [===>..........................] - ETA: 3:01 - loss: 234.9723 - logits_profile_predictions_loss: 169.2171 - logcount_predictions_loss: 12.1769 98/684 [===>..........................] - ETA: 3:00 - loss: 234.4891 - logits_profile_predictions_loss: 169.1974 - logcount_predictions_loss: 12.0911 99/684 [===>..........................] - ETA: 3:00 - loss: 234.0142 - logits_profile_predictions_loss: 169.1781 - logcount_predictions_loss: 12.0067 100/684 [===>..........................] - ETA: 3:00 - loss: 233.5459 - logits_profile_predictions_loss: 169.1578 - logcount_predictions_loss: 11.9237 101/684 [===>..........................] - ETA: 2:59 - loss: 233.0846 - logits_profile_predictions_loss: 169.1370 - logcount_predictions_loss: 11.8421 102/684 [===>..........................] - ETA: 2:59 - loss: 232.6316 - logits_profile_predictions_loss: 169.1172 - logcount_predictions_loss: 11.7619 103/684 [===>..........................] - ETA: 2:59 - loss: 232.1852 - logits_profile_predictions_loss: 169.0969 - logcount_predictions_loss: 11.6830 104/684 [===>..........................] - ETA: 2:58 - loss: 231.7452 - logits_profile_predictions_loss: 169.0761 - logcount_predictions_loss: 11.6054 105/684 [===>..........................] - ETA: 2:58 - loss: 231.3128 - logits_profile_predictions_loss: 169.0561 - logcount_predictions_loss: 11.5290 106/684 [===>..........................] - ETA: 2:58 - loss: 230.8886 - logits_profile_predictions_loss: 169.0375 - logcount_predictions_loss: 11.4539 107/684 [===>..........................] - ETA: 2:57 - loss: 230.4709 - logits_profile_predictions_loss: 169.0190 - logcount_predictions_loss: 11.3800 108/684 [===>..........................] - ETA: 2:57 - loss: 230.0617 - logits_profile_predictions_loss: 169.0025 - logcount_predictions_loss: 11.3073 109/684 [===>..........................] - ETA: 2:57 - loss: 229.6593 - logits_profile_predictions_loss: 168.9867 - logcount_predictions_loss: 11.2357 110/684 [===>..........................] - ETA: 2:57 - loss: 229.2640 - logits_profile_predictions_loss: 168.9719 - logcount_predictions_loss: 11.1652 111/684 [===>..........................] - ETA: 2:56 - loss: 228.8751 - logits_profile_predictions_loss: 168.9576 - logcount_predictions_loss: 11.0958 112/684 [===>..........................] - ETA: 2:56 - loss: 228.4917 - logits_profile_predictions_loss: 168.9431 - logcount_predictions_loss: 11.0275 113/684 [===>..........................] - ETA: 2:56 - loss: 228.1139 - logits_profile_predictions_loss: 168.9286 - logcount_predictions_loss: 10.9602 114/684 [====>.........................] - ETA: 2:55 - loss: 227.7403 - logits_profile_predictions_loss: 168.9131 - logcount_predictions_loss: 10.8939 115/684 [====>.........................] - ETA: 2:55 - loss: 227.3735 - logits_profile_predictions_loss: 168.8989 - logcount_predictions_loss: 10.8286 116/684 [====>.........................] - ETA: 2:55 - loss: 227.0109 - logits_profile_predictions_loss: 168.8839 - logcount_predictions_loss: 10.7643 117/684 [====>.........................] - ETA: 2:54 - loss: 226.6535 - logits_profile_predictions_loss: 168.8690 - logcount_predictions_loss: 10.7008 118/684 [====>.........................] - ETA: 2:54 - loss: 226.3019 - logits_profile_predictions_loss: 168.8549 - logcount_predictions_loss: 10.6383 119/684 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[============================>.] - ETA: 1s - loss: 185.8984 - logits_profile_predictions_loss: 167.2058 - logcount_predictions_loss: 3.4616 682/684 [============================>.] - ETA: 0s - loss: 185.8817 - logits_profile_predictions_loss: 167.2049 - logcount_predictions_loss: 3.4587 683/684 [============================>.] - ETA: 0s - loss: 185.8650 - logits_profile_predictions_loss: 167.2041 - logcount_predictions_loss: 3.4557 684/684 [==============================] - ETA: 0s - loss: 185.8483 - logits_profile_predictions_loss: 167.2033 - logcount_predictions_loss: 3.4528 684/684 [==============================] - 451s 524ms/step - loss: 185.8317 - logits_profile_predictions_loss: 167.2024 - logcount_predictions_loss: 3.4499 - val_loss: 182.3722 - val_logits_profile_predictions_loss: 180.6947 - val_logcount_predictions_loss: 0.3107 + +Epoch 00001: val_loss improved from inf to 182.37222, saving model to 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[>.............................] - ETA: 3:16 - loss: 163.2979 - logits_profile_predictions_loss: 162.2986 - logcount_predictions_loss: 0.1851 46/684 [=>............................] - ETA: 3:16 - loss: 163.3025 - logits_profile_predictions_loss: 162.3021 - logcount_predictions_loss: 0.1853 47/684 [=>............................] - ETA: 3:15 - loss: 163.3088 - logits_profile_predictions_loss: 162.3074 - logcount_predictions_loss: 0.1854 48/684 [=>............................] - ETA: 3:15 - loss: 163.3204 - logits_profile_predictions_loss: 162.3181 - logcount_predictions_loss: 0.1856 49/684 [=>............................] - ETA: 3:15 - loss: 163.3320 - logits_profile_predictions_loss: 162.3289 - logcount_predictions_loss: 0.1858 50/684 [=>............................] - ETA: 3:15 - loss: 163.3467 - logits_profile_predictions_loss: 162.3426 - logcount_predictions_loss: 0.1859 51/684 [=>............................] - ETA: 3:14 - loss: 163.3659 - logits_profile_predictions_loss: 162.3609 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[=>............................] - ETA: 3:10 - loss: 163.4719 - logits_profile_predictions_loss: 162.4570 - logcount_predictions_loss: 0.1879 66/684 [=>............................] - ETA: 3:10 - loss: 163.4809 - logits_profile_predictions_loss: 162.4655 - logcount_predictions_loss: 0.1880 67/684 [=>............................] - ETA: 3:09 - loss: 163.4915 - logits_profile_predictions_loss: 162.4753 - logcount_predictions_loss: 0.1882 68/684 [=>............................] - ETA: 3:09 - loss: 163.5009 - logits_profile_predictions_loss: 162.4840 - logcount_predictions_loss: 0.1883 69/684 [==>...........................] - ETA: 3:09 - loss: 163.5081 - logits_profile_predictions_loss: 162.4905 - logcount_predictions_loss: 0.1884 70/684 [==>...........................] - ETA: 3:09 - loss: 163.5154 - logits_profile_predictions_loss: 162.4972 - logcount_predictions_loss: 0.1885 71/684 [==>...........................] - ETA: 3:08 - loss: 163.5242 - logits_profile_predictions_loss: 162.5054 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logits_profile_predictions_loss: 162.8744 - logcount_predictions_loss: 0.1907 682/684 [============================>.] - ETA: 0s - loss: 163.9047 - logits_profile_predictions_loss: 162.8748 - logcount_predictions_loss: 0.1907 683/684 [============================>.] - ETA: 0s - loss: 163.9051 - logits_profile_predictions_loss: 162.8751 - logcount_predictions_loss: 0.1907 684/684 [==============================] - ETA: 0s - loss: 163.9054 - logits_profile_predictions_loss: 162.8755 - logcount_predictions_loss: 0.1907 684/684 [==============================] - 221s 323ms/step - loss: 163.9058 - logits_profile_predictions_loss: 162.8759 - logcount_predictions_loss: 0.1907 - val_loss: 179.2554 - val_logits_profile_predictions_loss: 178.2327 - val_logcount_predictions_loss: 0.1894 + +Epoch 00004: val_loss improved from 179.58961 to 179.25543, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1/chrombpnet.h5 +Epoch 5/50 + 1/684 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[..............................] - ETA: 3:23 - loss: 164.9670 - logits_profile_predictions_loss: 164.0111 - logcount_predictions_loss: 0.1770 22/684 [..............................] - ETA: 3:23 - loss: 165.0351 - logits_profile_predictions_loss: 164.0787 - logcount_predictions_loss: 0.1771 23/684 [>.............................] - ETA: 3:23 - loss: 165.1010 - logits_profile_predictions_loss: 164.1433 - logcount_predictions_loss: 0.1773 24/684 [>.............................] - ETA: 3:22 - loss: 165.1642 - logits_profile_predictions_loss: 164.2053 - logcount_predictions_loss: 0.1776 25/684 [>.............................] - ETA: 3:22 - loss: 165.1978 - logits_profile_predictions_loss: 164.2378 - logcount_predictions_loss: 0.1778 26/684 [>.............................] - ETA: 3:22 - loss: 165.2334 - logits_profile_predictions_loss: 164.2725 - logcount_predictions_loss: 0.1779 27/684 [>.............................] - ETA: 3:21 - loss: 165.2657 - logits_profile_predictions_loss: 164.3040 - logcount_predictions_loss: 0.1781 28/684 [>.............................] - ETA: 3:21 - loss: 165.2791 - logits_profile_predictions_loss: 164.3165 - logcount_predictions_loss: 0.1783 29/684 [>.............................] - ETA: 3:21 - loss: 165.2799 - logits_profile_predictions_loss: 164.3165 - logcount_predictions_loss: 0.1784 30/684 [>.............................] - ETA: 3:21 - loss: 165.2768 - logits_profile_predictions_loss: 164.3128 - logcount_predictions_loss: 0.1785 31/684 [>.............................] - ETA: 3:20 - loss: 165.2737 - logits_profile_predictions_loss: 164.3093 - logcount_predictions_loss: 0.1786 32/684 [>.............................] - ETA: 3:20 - loss: 165.2735 - logits_profile_predictions_loss: 164.3090 - logcount_predictions_loss: 0.1786 33/684 [>.............................] - ETA: 3:20 - loss: 165.2685 - logits_profile_predictions_loss: 164.3042 - logcount_predictions_loss: 0.1786 34/684 [>.............................] - ETA: 3:19 - loss: 165.2542 - 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[>.............................] - ETA: 3:17 - loss: 165.0689 - logits_profile_predictions_loss: 164.1089 - logcount_predictions_loss: 0.1778 42/684 [>.............................] - ETA: 3:17 - loss: 165.0402 - logits_profile_predictions_loss: 164.0810 - logcount_predictions_loss: 0.1776 43/684 [>.............................] - ETA: 3:17 - loss: 165.0207 - logits_profile_predictions_loss: 164.0622 - logcount_predictions_loss: 0.1775 44/684 [>.............................] - ETA: 3:16 - loss: 164.9983 - logits_profile_predictions_loss: 164.0404 - logcount_predictions_loss: 0.1774 45/684 [>.............................] - ETA: 3:16 - loss: 164.9777 - logits_profile_predictions_loss: 164.0202 - logcount_predictions_loss: 0.1773 46/684 [=>............................] - ETA: 3:16 - loss: 164.9628 - logits_profile_predictions_loss: 164.0054 - logcount_predictions_loss: 0.1773 47/684 [=>............................] - ETA: 3:15 - loss: 164.9474 - logits_profile_predictions_loss: 163.9901 - logcount_predictions_loss: 0.1773 48/684 [=>............................] - ETA: 3:15 - loss: 164.9380 - logits_profile_predictions_loss: 163.9805 - logcount_predictions_loss: 0.1773 49/684 [=>............................] - ETA: 3:15 - loss: 164.9253 - logits_profile_predictions_loss: 163.9675 - logcount_predictions_loss: 0.1774 50/684 [=>............................] - ETA: 3:14 - loss: 164.9112 - logits_profile_predictions_loss: 163.9532 - logcount_predictions_loss: 0.1774 51/684 [=>............................] - ETA: 3:14 - loss: 164.8984 - logits_profile_predictions_loss: 163.9402 - logcount_predictions_loss: 0.1774 52/684 [=>............................] - ETA: 3:14 - loss: 164.8844 - logits_profile_predictions_loss: 163.9261 - logcount_predictions_loss: 0.1775 53/684 [=>............................] - ETA: 3:13 - loss: 164.8724 - logits_profile_predictions_loss: 163.9139 - logcount_predictions_loss: 0.1775 54/684 [=>............................] - ETA: 3:13 - loss: 164.8610 - 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[=>............................] - ETA: 3:11 - loss: 164.7900 - logits_profile_predictions_loss: 163.8307 - logcount_predictions_loss: 0.1776 62/684 [=>............................] - ETA: 3:11 - loss: 164.7832 - logits_profile_predictions_loss: 163.8239 - logcount_predictions_loss: 0.1777 63/684 [=>............................] - ETA: 3:10 - loss: 164.7794 - logits_profile_predictions_loss: 163.8200 - logcount_predictions_loss: 0.1777 64/684 [=>............................] - ETA: 3:10 - loss: 164.7763 - logits_profile_predictions_loss: 163.8169 - logcount_predictions_loss: 0.1777 65/684 [=>............................] - ETA: 3:10 - loss: 164.7756 - logits_profile_predictions_loss: 163.8162 - logcount_predictions_loss: 0.1777 66/684 [=>............................] - ETA: 3:09 - loss: 164.7709 - logits_profile_predictions_loss: 163.8115 - logcount_predictions_loss: 0.1777 67/684 [=>............................] - ETA: 3:09 - loss: 164.7676 - logits_profile_predictions_loss: 163.8082 - logcount_predictions_loss: 0.1777 68/684 [=>............................] - ETA: 3:09 - loss: 164.7638 - logits_profile_predictions_loss: 163.8044 - logcount_predictions_loss: 0.1777 69/684 [==>...........................] - ETA: 3:08 - loss: 164.7578 - logits_profile_predictions_loss: 163.7985 - logcount_predictions_loss: 0.1776 70/684 [==>...........................] - ETA: 3:08 - loss: 164.7515 - logits_profile_predictions_loss: 163.7924 - logcount_predictions_loss: 0.1776 71/684 [==>...........................] - ETA: 3:08 - loss: 164.7478 - logits_profile_predictions_loss: 163.7887 - logcount_predictions_loss: 0.1776 72/684 [==>...........................] - ETA: 3:08 - loss: 164.7462 - logits_profile_predictions_loss: 163.7871 - logcount_predictions_loss: 0.1776 73/684 [==>...........................] - ETA: 3:07 - loss: 164.7434 - logits_profile_predictions_loss: 163.7843 - logcount_predictions_loss: 0.1776 74/684 [==>...........................] - ETA: 3:07 - loss: 164.7441 - 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[==>...........................] - ETA: 3:05 - loss: 164.7393 - logits_profile_predictions_loss: 163.7789 - logcount_predictions_loss: 0.1778 82/684 [==>...........................] - ETA: 3:04 - loss: 164.7394 - logits_profile_predictions_loss: 163.7790 - logcount_predictions_loss: 0.1779 83/684 [==>...........................] - ETA: 3:04 - loss: 164.7389 - logits_profile_predictions_loss: 163.7784 - logcount_predictions_loss: 0.1779 84/684 [==>...........................] - ETA: 3:04 - loss: 164.7372 - logits_profile_predictions_loss: 163.7767 - logcount_predictions_loss: 0.1779 85/684 [==>...........................] - ETA: 3:04 - loss: 164.7381 - logits_profile_predictions_loss: 163.7774 - logcount_predictions_loss: 0.1779 86/684 [==>...........................] - ETA: 3:03 - loss: 164.7380 - logits_profile_predictions_loss: 163.7773 - logcount_predictions_loss: 0.1779 87/684 [==>...........................] - ETA: 3:03 - loss: 164.7368 - logits_profile_predictions_loss: 163.7759 - logcount_predictions_loss: 0.1779 88/684 [==>...........................] - ETA: 3:03 - loss: 164.7359 - logits_profile_predictions_loss: 163.7749 - logcount_predictions_loss: 0.1779 89/684 [==>...........................] - ETA: 3:02 - loss: 164.7346 - logits_profile_predictions_loss: 163.7736 - logcount_predictions_loss: 0.1780 90/684 [==>...........................] - ETA: 3:02 - loss: 164.7335 - logits_profile_predictions_loss: 163.7725 - logcount_predictions_loss: 0.1780 91/684 [==>...........................] - ETA: 3:02 - loss: 164.7316 - logits_profile_predictions_loss: 163.7704 - logcount_predictions_loss: 0.1780 92/684 [===>..........................] - ETA: 3:01 - loss: 164.7294 - logits_profile_predictions_loss: 163.7681 - logcount_predictions_loss: 0.1780 93/684 [===>..........................] - ETA: 3:01 - loss: 164.7275 - logits_profile_predictions_loss: 163.7662 - logcount_predictions_loss: 0.1780 94/684 [===>..........................] - ETA: 3:01 - loss: 164.7260 - 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[===>..........................] - ETA: 2:59 - loss: 164.7097 - logits_profile_predictions_loss: 163.7480 - logcount_predictions_loss: 0.1781 102/684 [===>..........................] - ETA: 2:58 - loss: 164.7076 - logits_profile_predictions_loss: 163.7459 - logcount_predictions_loss: 0.1781 103/684 [===>..........................] - ETA: 2:58 - loss: 164.7054 - logits_profile_predictions_loss: 163.7438 - logcount_predictions_loss: 0.1781 104/684 [===>..........................] - ETA: 2:58 - loss: 164.7048 - logits_profile_predictions_loss: 163.7432 - logcount_predictions_loss: 0.1781 105/684 [===>..........................] - ETA: 2:57 - loss: 164.7044 - logits_profile_predictions_loss: 163.7428 - logcount_predictions_loss: 0.1781 106/684 [===>..........................] - ETA: 2:57 - loss: 164.7036 - logits_profile_predictions_loss: 163.7421 - logcount_predictions_loss: 0.1780 107/684 [===>..........................] - ETA: 2:57 - loss: 164.7024 - logits_profile_predictions_loss: 163.7410 - logcount_predictions_loss: 0.1780 108/684 [===>..........................] - ETA: 2:57 - loss: 164.7031 - logits_profile_predictions_loss: 163.7418 - logcount_predictions_loss: 0.1780 109/684 [===>..........................] - ETA: 2:56 - loss: 164.7036 - logits_profile_predictions_loss: 163.7423 - logcount_predictions_loss: 0.1780 110/684 [===>..........................] - ETA: 2:55 - loss: 164.7040 - logits_profile_predictions_loss: 163.7427 - logcount_predictions_loss: 0.1780 111/684 [===>..........................] - ETA: 2:55 - loss: 164.7058 - logits_profile_predictions_loss: 163.7446 - logcount_predictions_loss: 0.1780 112/684 [===>..........................] - ETA: 2:54 - loss: 164.7073 - logits_profile_predictions_loss: 163.7462 - logcount_predictions_loss: 0.1780 113/684 [===>..........................] - ETA: 2:54 - loss: 164.7088 - logits_profile_predictions_loss: 163.7478 - logcount_predictions_loss: 0.1780 114/684 [====>.........................] - ETA: 2:54 - 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[>.............................] - ETA: 3:18 - loss: 162.6169 - logits_profile_predictions_loss: 161.8165 - logcount_predictions_loss: 0.1482 28/684 [>.............................] - ETA: 3:18 - loss: 162.6313 - logits_profile_predictions_loss: 161.8277 - logcount_predictions_loss: 0.1488 29/684 [>.............................] - ETA: 3:17 - loss: 162.6598 - logits_profile_predictions_loss: 161.8534 - logcount_predictions_loss: 0.1493 30/684 [>.............................] - ETA: 3:17 - loss: 162.6724 - logits_profile_predictions_loss: 161.8630 - logcount_predictions_loss: 0.1499 31/684 [>.............................] - ETA: 3:17 - loss: 162.6851 - logits_profile_predictions_loss: 161.8729 - logcount_predictions_loss: 0.1504 32/684 [>.............................] - ETA: 3:17 - loss: 162.6820 - logits_profile_predictions_loss: 161.8674 - logcount_predictions_loss: 0.1509 33/684 [>.............................] - ETA: 3:17 - loss: 162.6854 - logits_profile_predictions_loss: 161.8684 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[=>............................] - ETA: 3:13 - loss: 162.8751 - logits_profile_predictions_loss: 162.0354 - logcount_predictions_loss: 0.1555 48/684 [=>............................] - ETA: 3:13 - loss: 162.8929 - logits_profile_predictions_loss: 162.0523 - logcount_predictions_loss: 0.1557 49/684 [=>............................] - ETA: 3:13 - loss: 162.9071 - logits_profile_predictions_loss: 162.0656 - logcount_predictions_loss: 0.1558 50/684 [=>............................] - ETA: 3:13 - loss: 162.9171 - logits_profile_predictions_loss: 162.0748 - logcount_predictions_loss: 0.1560 51/684 [=>............................] - ETA: 3:12 - loss: 162.9249 - logits_profile_predictions_loss: 162.0819 - logcount_predictions_loss: 0.1561 52/684 [=>............................] - ETA: 3:12 - loss: 162.9390 - logits_profile_predictions_loss: 162.0952 - logcount_predictions_loss: 0.1563 53/684 [=>............................] - ETA: 3:12 - loss: 162.9527 - logits_profile_predictions_loss: 162.1082 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157.4000 - logcount_predictions_loss: 0.1622 11/684 [..............................] - ETA: 3:26 - loss: 158.2046 - logits_profile_predictions_loss: 157.3274 - logcount_predictions_loss: 0.1625 12/684 [..............................] - ETA: 3:26 - loss: 158.2510 - logits_profile_predictions_loss: 157.3749 - logcount_predictions_loss: 0.1622 13/684 [..............................] - ETA: 3:25 - loss: 158.3803 - logits_profile_predictions_loss: 157.5055 - logcount_predictions_loss: 0.1620 14/684 [..............................] - ETA: 3:25 - loss: 158.5344 - logits_profile_predictions_loss: 157.6611 - logcount_predictions_loss: 0.1617 15/684 [..............................] - ETA: 3:25 - loss: 158.6759 - logits_profile_predictions_loss: 157.8046 - logcount_predictions_loss: 0.1614 16/684 [..............................] - ETA: 3:25 - loss: 158.8416 - logits_profile_predictions_loss: 157.9716 - logcount_predictions_loss: 0.1611 17/684 [..............................] - ETA: 3:24 - loss: 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logits_profile_predictions_loss: 158.8961 - logcount_predictions_loss: 0.1628 38/684 [>.............................] - ETA: 3:18 - loss: 159.7989 - logits_profile_predictions_loss: 158.9187 - logcount_predictions_loss: 0.1630 39/684 [>.............................] - ETA: 3:18 - loss: 159.8136 - logits_profile_predictions_loss: 158.9323 - logcount_predictions_loss: 0.1632 40/684 [>.............................] - ETA: 3:17 - loss: 159.8291 - logits_profile_predictions_loss: 158.9468 - logcount_predictions_loss: 0.1634 41/684 [>.............................] - ETA: 3:17 - loss: 159.8403 - logits_profile_predictions_loss: 158.9572 - logcount_predictions_loss: 0.1635 42/684 [>.............................] - ETA: 3:17 - loss: 159.8640 - logits_profile_predictions_loss: 158.9799 - logcount_predictions_loss: 0.1637 43/684 [>.............................] - ETA: 3:17 - loss: 159.8803 - logits_profile_predictions_loss: 158.9953 - logcount_predictions_loss: 0.1639 44/684 [>.............................] - ETA: 3:16 - loss: 159.8952 - logits_profile_predictions_loss: 159.0090 - logcount_predictions_loss: 0.1641 45/684 [>.............................] - ETA: 3:16 - loss: 159.9096 - logits_profile_predictions_loss: 159.0224 - logcount_predictions_loss: 0.1643 46/684 [=>............................] - ETA: 3:16 - loss: 159.9287 - logits_profile_predictions_loss: 159.0403 - logcount_predictions_loss: 0.1645 47/684 [=>............................] - ETA: 3:15 - loss: 159.9454 - logits_profile_predictions_loss: 159.0562 - logcount_predictions_loss: 0.1647 48/684 [=>............................] - ETA: 3:15 - loss: 159.9667 - logits_profile_predictions_loss: 159.0766 - logcount_predictions_loss: 0.1648 49/684 [=>............................] - ETA: 3:15 - loss: 159.9827 - logits_profile_predictions_loss: 159.0917 - logcount_predictions_loss: 0.1650 50/684 [=>............................] - ETA: 3:14 - loss: 159.9930 - logits_profile_predictions_loss: 159.1011 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logits_profile_predictions_loss: 159.1972 - logcount_predictions_loss: 0.1661 58/684 [=>............................] - ETA: 3:12 - loss: 160.1071 - logits_profile_predictions_loss: 159.2099 - logcount_predictions_loss: 0.1662 59/684 [=>............................] - ETA: 3:12 - loss: 160.1196 - logits_profile_predictions_loss: 159.2220 - logcount_predictions_loss: 0.1662 60/684 [=>............................] - ETA: 3:11 - loss: 160.1302 - logits_profile_predictions_loss: 159.2323 - logcount_predictions_loss: 0.1663 61/684 [=>............................] - ETA: 3:11 - loss: 160.1435 - logits_profile_predictions_loss: 159.2453 - logcount_predictions_loss: 0.1663 62/684 [=>............................] - ETA: 3:11 - loss: 160.1554 - logits_profile_predictions_loss: 159.2568 - logcount_predictions_loss: 0.1664 63/684 [=>............................] - ETA: 3:10 - loss: 160.1652 - logits_profile_predictions_loss: 159.2663 - logcount_predictions_loss: 0.1665 64/684 [=>............................] - ETA: 3:10 - loss: 160.1770 - logits_profile_predictions_loss: 159.2778 - logcount_predictions_loss: 0.1665 65/684 [=>............................] - ETA: 3:10 - loss: 160.1881 - logits_profile_predictions_loss: 159.2887 - logcount_predictions_loss: 0.1666 66/684 [=>............................] - ETA: 3:10 - loss: 160.2005 - logits_profile_predictions_loss: 159.3010 - logcount_predictions_loss: 0.1666 67/684 [=>............................] - ETA: 3:09 - loss: 160.2129 - logits_profile_predictions_loss: 159.3133 - logcount_predictions_loss: 0.1666 68/684 [=>............................] - ETA: 3:09 - loss: 160.2246 - logits_profile_predictions_loss: 159.3250 - logcount_predictions_loss: 0.1666 69/684 [==>...........................] - ETA: 3:09 - loss: 160.2356 - logits_profile_predictions_loss: 159.3360 - logcount_predictions_loss: 0.1666 70/684 [==>...........................] - ETA: 3:08 - loss: 160.2497 - logits_profile_predictions_loss: 159.3500 - logcount_predictions_loss: 0.1666 71/684 [==>...........................] - ETA: 3:08 - loss: 160.2632 - logits_profile_predictions_loss: 159.3636 - logcount_predictions_loss: 0.1666 72/684 [==>...........................] - ETA: 3:08 - loss: 160.2759 - logits_profile_predictions_loss: 159.3763 - logcount_predictions_loss: 0.1666 73/684 [==>...........................] - ETA: 3:07 - loss: 160.2883 - logits_profile_predictions_loss: 159.3888 - logcount_predictions_loss: 0.1666 74/684 [==>...........................] - ETA: 3:07 - loss: 160.3025 - logits_profile_predictions_loss: 159.4029 - logcount_predictions_loss: 0.1666 75/684 [==>...........................] - ETA: 3:07 - loss: 160.3161 - logits_profile_predictions_loss: 159.4165 - logcount_predictions_loss: 0.1666 76/684 [==>...........................] - ETA: 3:07 - loss: 160.3293 - logits_profile_predictions_loss: 159.4298 - logcount_predictions_loss: 0.1666 77/684 [==>...........................] - ETA: 3:06 - loss: 160.3407 - logits_profile_predictions_loss: 159.4411 - logcount_predictions_loss: 0.1666 78/684 [==>...........................] - ETA: 3:06 - loss: 160.3485 - logits_profile_predictions_loss: 159.4490 - logcount_predictions_loss: 0.1666 79/684 [==>...........................] - ETA: 3:06 - loss: 160.3567 - logits_profile_predictions_loss: 159.4572 - logcount_predictions_loss: 0.1666 80/684 [==>...........................] - ETA: 3:05 - loss: 160.3640 - logits_profile_predictions_loss: 159.4645 - logcount_predictions_loss: 0.1666 81/684 [==>...........................] - ETA: 3:05 - loss: 160.3718 - logits_profile_predictions_loss: 159.4723 - logcount_predictions_loss: 0.1666 82/684 [==>...........................] - ETA: 3:05 - loss: 160.3795 - logits_profile_predictions_loss: 159.4801 - logcount_predictions_loss: 0.1666 83/684 [==>...........................] - ETA: 3:04 - loss: 160.3874 - logits_profile_predictions_loss: 159.4881 - logcount_predictions_loss: 0.1665 84/684 [==>...........................] - ETA: 3:04 - loss: 160.3945 - logits_profile_predictions_loss: 159.4952 - logcount_predictions_loss: 0.1665 85/684 [==>...........................] - ETA: 3:04 - loss: 160.4027 - logits_profile_predictions_loss: 159.5035 - logcount_predictions_loss: 0.1665 86/684 [==>...........................] - ETA: 3:03 - loss: 160.4094 - logits_profile_predictions_loss: 159.5102 - logcount_predictions_loss: 0.1665 87/684 [==>...........................] - ETA: 3:03 - loss: 160.4138 - logits_profile_predictions_loss: 159.5147 - logcount_predictions_loss: 0.1665 88/684 [==>...........................] - ETA: 3:03 - loss: 160.4204 - logits_profile_predictions_loss: 159.5213 - logcount_predictions_loss: 0.1665 89/684 [==>...........................] - ETA: 3:03 - loss: 160.4266 - logits_profile_predictions_loss: 159.5275 - logcount_predictions_loss: 0.1665 90/684 [==>...........................] - ETA: 3:02 - loss: 160.4323 - logits_profile_predictions_loss: 159.5332 - logcount_predictions_loss: 0.1665 91/684 [==>...........................] - ETA: 3:02 - loss: 160.4379 - logits_profile_predictions_loss: 159.5387 - logcount_predictions_loss: 0.1665 92/684 [===>..........................] - ETA: 3:02 - loss: 160.4428 - logits_profile_predictions_loss: 159.5436 - logcount_predictions_loss: 0.1665 93/684 [===>..........................] - ETA: 3:01 - loss: 160.4485 - logits_profile_predictions_loss: 159.5492 - logcount_predictions_loss: 0.1665 94/684 [===>..........................] - ETA: 3:01 - loss: 160.4558 - logits_profile_predictions_loss: 159.5564 - logcount_predictions_loss: 0.1666 95/684 [===>..........................] - ETA: 3:01 - loss: 160.4644 - logits_profile_predictions_loss: 159.5650 - logcount_predictions_loss: 0.1666 96/684 [===>..........................] - ETA: 3:00 - loss: 160.4732 - logits_profile_predictions_loss: 159.5738 - logcount_predictions_loss: 0.1666 97/684 [===>..........................] - ETA: 3:00 - loss: 160.4827 - 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logits_profile_predictions_loss: 160.7468 - logcount_predictions_loss: 0.1661 681/684 [============================>.] - ETA: 0s - loss: 161.6443 - logits_profile_predictions_loss: 160.7472 - logcount_predictions_loss: 0.1661 682/684 [============================>.] - ETA: 0s - loss: 161.6447 - logits_profile_predictions_loss: 160.7476 - logcount_predictions_loss: 0.1661 683/684 [============================>.] - ETA: 0s - loss: 161.6451 - logits_profile_predictions_loss: 160.7480 - logcount_predictions_loss: 0.1661 684/684 [==============================] - ETA: 0s - loss: 161.6455 - logits_profile_predictions_loss: 160.7484 - logcount_predictions_loss: 0.1661 684/684 [==============================] - 221s 323ms/step - loss: 161.6459 - logits_profile_predictions_loss: 160.7488 - logcount_predictions_loss: 0.1661 - val_loss: 179.3968 - val_logits_profile_predictions_loss: 178.4957 - val_logcount_predictions_loss: 0.1669 + +Epoch 00008: val_loss did not improve from 179.07896 +Epoch 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154.8302 - logcount_predictions_loss: 0.1549 8/684 [..............................] - ETA: 3:27 - loss: 155.9783 - logits_profile_predictions_loss: 155.1312 - logcount_predictions_loss: 0.1569 9/684 [..............................] - ETA: 3:27 - loss: 156.2634 - logits_profile_predictions_loss: 155.4075 - logcount_predictions_loss: 0.1585 10/684 [..............................] - ETA: 3:26 - loss: 156.4900 - logits_profile_predictions_loss: 155.6286 - logcount_predictions_loss: 0.1595 11/684 [..............................] - ETA: 3:26 - loss: 156.6723 - logits_profile_predictions_loss: 155.8044 - logcount_predictions_loss: 0.1607 12/684 [..............................] - ETA: 3:26 - loss: 156.8591 - logits_profile_predictions_loss: 155.9877 - logcount_predictions_loss: 0.1614 13/684 [..............................] - ETA: 3:25 - loss: 157.0136 - logits_profile_predictions_loss: 156.1394 - logcount_predictions_loss: 0.1619 14/684 [..............................] - ETA: 3:25 - loss: 157.1778 - logits_profile_predictions_loss: 156.3028 - logcount_predictions_loss: 0.1620 15/684 [..............................] - ETA: 3:25 - loss: 157.3301 - logits_profile_predictions_loss: 156.4547 - logcount_predictions_loss: 0.1621 16/684 [..............................] - ETA: 3:24 - loss: 157.5117 - logits_profile_predictions_loss: 156.6363 - logcount_predictions_loss: 0.1621 17/684 [..............................] - ETA: 3:24 - loss: 157.6977 - logits_profile_predictions_loss: 156.8218 - logcount_predictions_loss: 0.1622 18/684 [..............................] - ETA: 3:24 - loss: 157.8017 - logits_profile_predictions_loss: 156.9261 - logcount_predictions_loss: 0.1621 19/684 [..............................] - ETA: 3:23 - loss: 157.9111 - logits_profile_predictions_loss: 157.0359 - logcount_predictions_loss: 0.1621 20/684 [..............................] - ETA: 3:23 - loss: 158.0332 - logits_profile_predictions_loss: 157.1583 - logcount_predictions_loss: 0.1620 21/684 [..............................] - ETA: 3:23 - loss: 158.1384 - logits_profile_predictions_loss: 157.2642 - logcount_predictions_loss: 0.1619 22/684 [..............................] - ETA: 3:23 - loss: 158.2366 - logits_profile_predictions_loss: 157.3634 - logcount_predictions_loss: 0.1617 23/684 [>.............................] - ETA: 3:22 - loss: 158.3396 - logits_profile_predictions_loss: 157.4668 - logcount_predictions_loss: 0.1616 24/684 [>.............................] - ETA: 3:22 - loss: 158.4415 - logits_profile_predictions_loss: 157.5691 - logcount_predictions_loss: 0.1616 25/684 [>.............................] - ETA: 3:22 - loss: 158.5393 - logits_profile_predictions_loss: 157.6674 - logcount_predictions_loss: 0.1615 26/684 [>.............................] - ETA: 3:21 - loss: 158.6207 - logits_profile_predictions_loss: 157.7493 - logcount_predictions_loss: 0.1614 27/684 [>.............................] - ETA: 3:21 - loss: 158.6759 - logits_profile_predictions_loss: 157.8048 - logcount_predictions_loss: 0.1613 28/684 [>.............................] - ETA: 3:21 - loss: 158.7277 - logits_profile_predictions_loss: 157.8571 - logcount_predictions_loss: 0.1612 29/684 [>.............................] - ETA: 3:21 - loss: 158.7656 - logits_profile_predictions_loss: 157.8954 - logcount_predictions_loss: 0.1612 30/684 [>.............................] - ETA: 3:20 - loss: 158.7880 - logits_profile_predictions_loss: 157.9179 - logcount_predictions_loss: 0.1611 31/684 [>.............................] - ETA: 3:20 - loss: 158.8106 - logits_profile_predictions_loss: 157.9406 - logcount_predictions_loss: 0.1611 32/684 [>.............................] - ETA: 3:20 - loss: 158.8360 - logits_profile_predictions_loss: 157.9662 - logcount_predictions_loss: 0.1611 33/684 [>.............................] - ETA: 3:19 - loss: 158.8582 - logits_profile_predictions_loss: 157.9881 - logcount_predictions_loss: 0.1611 34/684 [>.............................] - ETA: 3:19 - loss: 158.8723 - logits_profile_predictions_loss: 158.0020 - logcount_predictions_loss: 0.1612 35/684 [>.............................] - ETA: 3:19 - loss: 158.8880 - logits_profile_predictions_loss: 158.0175 - logcount_predictions_loss: 0.1612 36/684 [>.............................] - ETA: 3:18 - loss: 158.9103 - logits_profile_predictions_loss: 158.0397 - logcount_predictions_loss: 0.1612 37/684 [>.............................] - ETA: 3:18 - loss: 158.9263 - logits_profile_predictions_loss: 158.0555 - logcount_predictions_loss: 0.1613 38/684 [>.............................] - ETA: 3:18 - loss: 158.9342 - logits_profile_predictions_loss: 158.0634 - logcount_predictions_loss: 0.1613 39/684 [>.............................] - ETA: 3:18 - loss: 158.9443 - logits_profile_predictions_loss: 158.0737 - logcount_predictions_loss: 0.1612 40/684 [>.............................] - ETA: 3:17 - loss: 158.9528 - logits_profile_predictions_loss: 158.0825 - logcount_predictions_loss: 0.1612 41/684 [>.............................] - ETA: 3:17 - loss: 158.9636 - logits_profile_predictions_loss: 158.0933 - logcount_predictions_loss: 0.1612 42/684 [>.............................] - ETA: 3:17 - loss: 158.9745 - logits_profile_predictions_loss: 158.1042 - logcount_predictions_loss: 0.1612 43/684 [>.............................] - ETA: 3:16 - loss: 158.9884 - logits_profile_predictions_loss: 158.1182 - logcount_predictions_loss: 0.1612 44/684 [>.............................] - ETA: 3:16 - loss: 158.9943 - logits_profile_predictions_loss: 158.1241 - logcount_predictions_loss: 0.1611 45/684 [>.............................] - ETA: 3:16 - loss: 158.9962 - logits_profile_predictions_loss: 158.1261 - logcount_predictions_loss: 0.1611 46/684 [=>............................] - ETA: 3:15 - loss: 158.9967 - logits_profile_predictions_loss: 158.1268 - logcount_predictions_loss: 0.1611 47/684 [=>............................] - ETA: 3:15 - loss: 159.0031 - logits_profile_predictions_loss: 158.1331 - logcount_predictions_loss: 0.1611 48/684 [=>............................] - ETA: 3:15 - loss: 159.0061 - logits_profile_predictions_loss: 158.1361 - logcount_predictions_loss: 0.1611 49/684 [=>............................] - ETA: 3:15 - loss: 159.0052 - logits_profile_predictions_loss: 158.1353 - logcount_predictions_loss: 0.1611 50/684 [=>............................] - ETA: 3:14 - loss: 158.9980 - logits_profile_predictions_loss: 158.1281 - logcount_predictions_loss: 0.1611 51/684 [=>............................] - ETA: 3:14 - loss: 158.9853 - logits_profile_predictions_loss: 158.1156 - logcount_predictions_loss: 0.1611 52/684 [=>............................] - ETA: 3:14 - loss: 158.9787 - logits_profile_predictions_loss: 158.1092 - logcount_predictions_loss: 0.1610 53/684 [=>............................] - ETA: 3:13 - loss: 158.9793 - logits_profile_predictions_loss: 158.1098 - logcount_predictions_loss: 0.1610 54/684 [=>............................] - ETA: 3:13 - loss: 158.9827 - logits_profile_predictions_loss: 158.1134 - logcount_predictions_loss: 0.1610 55/684 [=>............................] - ETA: 3:13 - loss: 158.9857 - logits_profile_predictions_loss: 158.1165 - logcount_predictions_loss: 0.1610 56/684 [=>............................] - ETA: 3:12 - loss: 158.9924 - logits_profile_predictions_loss: 158.1232 - logcount_predictions_loss: 0.1610 57/684 [=>............................] - ETA: 3:12 - loss: 159.0022 - logits_profile_predictions_loss: 158.1330 - logcount_predictions_loss: 0.1610 58/684 [=>............................] - ETA: 3:12 - loss: 159.0121 - logits_profile_predictions_loss: 158.1429 - logcount_predictions_loss: 0.1610 59/684 [=>............................] - ETA: 3:12 - loss: 159.0217 - logits_profile_predictions_loss: 158.1524 - logcount_predictions_loss: 0.1610 60/684 [=>............................] - ETA: 3:11 - loss: 159.0312 - logits_profile_predictions_loss: 158.1620 - logcount_predictions_loss: 0.1610 61/684 [=>............................] - ETA: 3:11 - loss: 159.0399 - logits_profile_predictions_loss: 158.1708 - logcount_predictions_loss: 0.1609 62/684 [=>............................] - ETA: 3:11 - loss: 159.0529 - logits_profile_predictions_loss: 158.1838 - logcount_predictions_loss: 0.1609 63/684 [=>............................] - ETA: 3:10 - loss: 159.0634 - logits_profile_predictions_loss: 158.1945 - logcount_predictions_loss: 0.1609 64/684 [=>............................] - ETA: 3:10 - loss: 159.0763 - logits_profile_predictions_loss: 158.2075 - logcount_predictions_loss: 0.1609 65/684 [=>............................] - ETA: 3:10 - loss: 159.0886 - logits_profile_predictions_loss: 158.2199 - logcount_predictions_loss: 0.1609 66/684 [=>............................] - ETA: 3:09 - loss: 159.0995 - logits_profile_predictions_loss: 158.2310 - logcount_predictions_loss: 0.1608 67/684 [=>............................] - ETA: 3:09 - loss: 159.1125 - logits_profile_predictions_loss: 158.2442 - logcount_predictions_loss: 0.1608 68/684 [=>............................] - ETA: 3:09 - loss: 159.1252 - logits_profile_predictions_loss: 158.2570 - logcount_predictions_loss: 0.1608 69/684 [==>...........................] - ETA: 3:08 - loss: 159.1394 - logits_profile_predictions_loss: 158.2713 - logcount_predictions_loss: 0.1608 70/684 [==>...........................] - ETA: 3:08 - loss: 159.1555 - logits_profile_predictions_loss: 158.2876 - logcount_predictions_loss: 0.1607 71/684 [==>...........................] - ETA: 3:08 - loss: 159.1701 - logits_profile_predictions_loss: 158.3023 - logcount_predictions_loss: 0.1607 72/684 [==>...........................] - ETA: 3:08 - loss: 159.1855 - logits_profile_predictions_loss: 158.3180 - logcount_predictions_loss: 0.1607 73/684 [==>...........................] - ETA: 3:07 - loss: 159.2014 - logits_profile_predictions_loss: 158.3341 - logcount_predictions_loss: 0.1606 74/684 [==>...........................] - ETA: 3:07 - loss: 159.2188 - logits_profile_predictions_loss: 158.3518 - logcount_predictions_loss: 0.1606 75/684 [==>...........................] - ETA: 3:07 - loss: 159.2364 - logits_profile_predictions_loss: 158.3696 - logcount_predictions_loss: 0.1605 76/684 [==>...........................] - ETA: 3:06 - loss: 159.2527 - logits_profile_predictions_loss: 158.3862 - logcount_predictions_loss: 0.1605 77/684 [==>...........................] - ETA: 3:06 - loss: 159.2686 - logits_profile_predictions_loss: 158.4024 - logcount_predictions_loss: 0.1604 78/684 [==>...........................] - ETA: 3:06 - loss: 159.2845 - logits_profile_predictions_loss: 158.4185 - logcount_predictions_loss: 0.1604 79/684 [==>...........................] - ETA: 3:05 - loss: 159.2995 - logits_profile_predictions_loss: 158.4339 - logcount_predictions_loss: 0.1603 80/684 [==>...........................] - ETA: 3:05 - loss: 159.3129 - logits_profile_predictions_loss: 158.4475 - logcount_predictions_loss: 0.1603 81/684 [==>...........................] - ETA: 3:05 - loss: 159.3256 - logits_profile_predictions_loss: 158.4605 - logcount_predictions_loss: 0.1602 82/684 [==>...........................] - ETA: 3:04 - loss: 159.3383 - logits_profile_predictions_loss: 158.4735 - logcount_predictions_loss: 0.1602 83/684 [==>...........................] - ETA: 3:04 - loss: 159.3510 - logits_profile_predictions_loss: 158.4865 - logcount_predictions_loss: 0.1601 84/684 [==>...........................] - ETA: 3:04 - loss: 159.3640 - logits_profile_predictions_loss: 158.4998 - logcount_predictions_loss: 0.1600 85/684 [==>...........................] - ETA: 3:04 - loss: 159.3779 - logits_profile_predictions_loss: 158.5141 - logcount_predictions_loss: 0.1600 86/684 [==>...........................] - ETA: 3:03 - loss: 159.3911 - logits_profile_predictions_loss: 158.5276 - logcount_predictions_loss: 0.1599 87/684 [==>...........................] - ETA: 3:03 - loss: 159.4029 - logits_profile_predictions_loss: 158.5398 - logcount_predictions_loss: 0.1598 88/684 [==>...........................] - ETA: 3:03 - loss: 159.4147 - logits_profile_predictions_loss: 158.5519 - logcount_predictions_loss: 0.1598 89/684 [==>...........................] - ETA: 3:02 - loss: 159.4250 - logits_profile_predictions_loss: 158.5625 - logcount_predictions_loss: 0.1597 90/684 [==>...........................] - ETA: 3:02 - loss: 159.4351 - logits_profile_predictions_loss: 158.5730 - logcount_predictions_loss: 0.1597 91/684 [==>...........................] - ETA: 3:02 - loss: 159.4449 - logits_profile_predictions_loss: 158.5832 - logcount_predictions_loss: 0.1596 92/684 [===>..........................] - ETA: 3:01 - loss: 159.4541 - logits_profile_predictions_loss: 158.5928 - logcount_predictions_loss: 0.1595 93/684 [===>..........................] - ETA: 3:01 - loss: 159.4639 - logits_profile_predictions_loss: 158.6029 - logcount_predictions_loss: 0.1594 94/684 [===>..........................] - ETA: 3:01 - loss: 159.4723 - logits_profile_predictions_loss: 158.6117 - logcount_predictions_loss: 0.1594 95/684 [===>..........................] - ETA: 3:01 - loss: 159.4797 - logits_profile_predictions_loss: 158.6195 - logcount_predictions_loss: 0.1593 96/684 [===>..........................] - ETA: 3:00 - loss: 159.4869 - logits_profile_predictions_loss: 158.6271 - logcount_predictions_loss: 0.1592 97/684 [===>..........................] - ETA: 3:00 - loss: 159.4955 - logits_profile_predictions_loss: 158.6361 - logcount_predictions_loss: 0.1591 98/684 [===>..........................] - ETA: 3:00 - loss: 159.5037 - logits_profile_predictions_loss: 158.6447 - logcount_predictions_loss: 0.1591 99/684 [===>..........................] - ETA: 2:59 - loss: 159.5133 - logits_profile_predictions_loss: 158.6546 - logcount_predictions_loss: 0.1590 100/684 [===>..........................] - ETA: 2:59 - loss: 159.5223 - logits_profile_predictions_loss: 158.6640 - logcount_predictions_loss: 0.1589 101/684 [===>..........................] - ETA: 2:59 - loss: 159.5310 - logits_profile_predictions_loss: 158.6731 - logcount_predictions_loss: 0.1589 102/684 [===>..........................] - ETA: 2:58 - loss: 159.5392 - logits_profile_predictions_loss: 158.6816 - logcount_predictions_loss: 0.1588 103/684 [===>..........................] - ETA: 2:58 - loss: 159.5479 - logits_profile_predictions_loss: 158.6907 - logcount_predictions_loss: 0.1587 104/684 [===>..........................] - ETA: 2:58 - loss: 159.5564 - logits_profile_predictions_loss: 158.6996 - logcount_predictions_loss: 0.1587 105/684 [===>..........................] - ETA: 2:57 - loss: 159.5651 - logits_profile_predictions_loss: 158.7087 - logcount_predictions_loss: 0.1586 106/684 [===>..........................] - ETA: 2:57 - loss: 159.5761 - logits_profile_predictions_loss: 158.7201 - logcount_predictions_loss: 0.1585 107/684 [===>..........................] - ETA: 2:57 - loss: 159.5885 - logits_profile_predictions_loss: 158.7329 - logcount_predictions_loss: 0.1585 108/684 [===>..........................] - ETA: 2:57 - loss: 159.6010 - logits_profile_predictions_loss: 158.7457 - logcount_predictions_loss: 0.1584 109/684 [===>..........................] - ETA: 2:56 - loss: 159.6129 - logits_profile_predictions_loss: 158.7580 - logcount_predictions_loss: 0.1583 110/684 [===>..........................] - ETA: 2:56 - loss: 159.6250 - logits_profile_predictions_loss: 158.7704 - logcount_predictions_loss: 0.1583 111/684 [===>..........................] - ETA: 2:56 - loss: 159.6362 - logits_profile_predictions_loss: 158.7820 - logcount_predictions_loss: 0.1582 112/684 [===>..........................] - ETA: 2:55 - loss: 159.6471 - logits_profile_predictions_loss: 158.7932 - logcount_predictions_loss: 0.1581 113/684 [===>..........................] - ETA: 2:55 - loss: 159.6575 - logits_profile_predictions_loss: 158.8040 - logcount_predictions_loss: 0.1581 114/684 [====>.........................] - ETA: 2:55 - loss: 159.6677 - logits_profile_predictions_loss: 158.8145 - logcount_predictions_loss: 0.1580 115/684 [====>.........................] - ETA: 2:54 - loss: 159.6780 - logits_profile_predictions_loss: 158.8251 - logcount_predictions_loss: 0.1579 116/684 [====>.........................] - ETA: 2:54 - loss: 159.6885 - logits_profile_predictions_loss: 158.8360 - logcount_predictions_loss: 0.1579 117/684 [====>.........................] - ETA: 2:54 - loss: 159.6978 - logits_profile_predictions_loss: 158.8456 - logcount_predictions_loss: 0.1578 118/684 [====>.........................] - ETA: 2:53 - loss: 159.7069 - logits_profile_predictions_loss: 158.8550 - logcount_predictions_loss: 0.1578 119/684 [====>.........................] - ETA: 2:53 - loss: 159.7160 - logits_profile_predictions_loss: 158.8645 - logcount_predictions_loss: 0.1577 120/684 [====>.........................] - ETA: 2:53 - loss: 159.7257 - logits_profile_predictions_loss: 158.8745 - logcount_predictions_loss: 0.1576 121/684 [====>.........................] - ETA: 2:53 - loss: 159.7359 - logits_profile_predictions_loss: 158.8850 - logcount_predictions_loss: 0.1576 122/684 [====>.........................] - ETA: 2:52 - loss: 159.7463 - logits_profile_predictions_loss: 158.8958 - logcount_predictions_loss: 0.1575 123/684 [====>.........................] - ETA: 2:52 - loss: 159.7559 - logits_profile_predictions_loss: 158.9057 - logcount_predictions_loss: 0.1575 124/684 [====>.........................] - ETA: 2:52 - loss: 159.7649 - logits_profile_predictions_loss: 158.9150 - logcount_predictions_loss: 0.1574 125/684 [====>.........................] - ETA: 2:51 - loss: 159.7739 - logits_profile_predictions_loss: 158.9242 - logcount_predictions_loss: 0.1573 126/684 [====>.........................] - ETA: 2:51 - loss: 159.7822 - logits_profile_predictions_loss: 158.9329 - logcount_predictions_loss: 0.1573 127/684 [====>.........................] - ETA: 2:51 - loss: 159.7910 - logits_profile_predictions_loss: 158.9420 - logcount_predictions_loss: 0.1572 128/684 [====>.........................] - ETA: 2:50 - loss: 159.7994 - logits_profile_predictions_loss: 158.9507 - logcount_predictions_loss: 0.1572 129/684 [====>.........................] - ETA: 2:50 - loss: 159.8078 - logits_profile_predictions_loss: 158.9594 - logcount_predictions_loss: 0.1571 130/684 [====>.........................] - ETA: 2:50 - loss: 159.8162 - logits_profile_predictions_loss: 158.9681 - logcount_predictions_loss: 0.1571 131/684 [====>.........................] - ETA: 2:50 - loss: 159.8240 - logits_profile_predictions_loss: 158.9762 - logcount_predictions_loss: 0.1570 132/684 [====>.........................] - ETA: 2:49 - loss: 159.8312 - logits_profile_predictions_loss: 158.9837 - logcount_predictions_loss: 0.1569 133/684 [====>.........................] - ETA: 2:49 - loss: 159.8379 - logits_profile_predictions_loss: 158.9908 - logcount_predictions_loss: 0.1569 134/684 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logcount_predictions_loss: 0.1510 621/684 [==========================>...] - ETA: 19s - loss: 159.1520 - logits_profile_predictions_loss: 158.3364 - logcount_predictions_loss: 0.1510 622/684 [==========================>...] - ETA: 19s - loss: 159.1515 - logits_profile_predictions_loss: 158.3359 - logcount_predictions_loss: 0.1510 623/684 [==========================>...] - ETA: 18s - loss: 159.1510 - logits_profile_predictions_loss: 158.3354 - logcount_predictions_loss: 0.1510 624/684 [==========================>...] - ETA: 18s - loss: 159.1505 - logits_profile_predictions_loss: 158.3349 - logcount_predictions_loss: 0.1510 625/684 [==========================>...] - ETA: 18s - loss: 159.1500 - logits_profile_predictions_loss: 158.3344 - logcount_predictions_loss: 0.1510 626/684 [==========================>...] - ETA: 17s - loss: 159.1496 - logits_profile_predictions_loss: 158.3340 - logcount_predictions_loss: 0.1510 627/684 [==========================>...] - ETA: 17s - loss: 159.1491 - logits_profile_predictions_loss: 158.3335 - logcount_predictions_loss: 0.1510 628/684 [==========================>...] - ETA: 17s - loss: 159.1486 - logits_profile_predictions_loss: 158.3331 - logcount_predictions_loss: 0.1510 629/684 [==========================>...] - ETA: 16s - loss: 159.1481 - logits_profile_predictions_loss: 158.3326 - logcount_predictions_loss: 0.1510 630/684 [==========================>...] - ETA: 16s - loss: 159.1477 - logits_profile_predictions_loss: 158.3321 - logcount_predictions_loss: 0.1510 631/684 [==========================>...] - ETA: 16s - loss: 159.1472 - logits_profile_predictions_loss: 158.3316 - logcount_predictions_loss: 0.1510 632/684 [==========================>...] - ETA: 16s - loss: 159.1467 - logits_profile_predictions_loss: 158.3312 - logcount_predictions_loss: 0.1510 633/684 [==========================>...] - ETA: 15s - loss: 159.1463 - logits_profile_predictions_loss: 158.3308 - logcount_predictions_loss: 0.1510 634/684 [==========================>...] - ETA: 15s - loss: 159.1458 - logits_profile_predictions_loss: 158.3303 - logcount_predictions_loss: 0.1510 635/684 [==========================>...] - ETA: 15s - loss: 159.1454 - logits_profile_predictions_loss: 158.3299 - logcount_predictions_loss: 0.1510 636/684 [==========================>...] - ETA: 14s - loss: 159.1450 - logits_profile_predictions_loss: 158.3294 - logcount_predictions_loss: 0.1510 637/684 [==========================>...] - ETA: 14s - loss: 159.1445 - logits_profile_predictions_loss: 158.3290 - logcount_predictions_loss: 0.1510 638/684 [==========================>...] - ETA: 14s - loss: 159.1441 - logits_profile_predictions_loss: 158.3286 - logcount_predictions_loss: 0.1510 639/684 [===========================>..] - ETA: 13s - loss: 159.1436 - logits_profile_predictions_loss: 158.3281 - logcount_predictions_loss: 0.1510 640/684 [===========================>..] - ETA: 13s - loss: 159.1432 - logits_profile_predictions_loss: 158.3277 - logcount_predictions_loss: 0.1510 641/684 [===========================>..] - ETA: 13s - loss: 159.1427 - logits_profile_predictions_loss: 158.3272 - logcount_predictions_loss: 0.1510 642/684 [===========================>..] - ETA: 12s - loss: 159.1423 - logits_profile_predictions_loss: 158.3268 - logcount_predictions_loss: 0.1510 643/684 [===========================>..] - ETA: 12s - loss: 159.1418 - logits_profile_predictions_loss: 158.3263 - logcount_predictions_loss: 0.1510 644/684 [===========================>..] - ETA: 12s - loss: 159.1414 - logits_profile_predictions_loss: 158.3259 - logcount_predictions_loss: 0.1510 645/684 [===========================>..] - ETA: 12s - loss: 159.1409 - logits_profile_predictions_loss: 158.3254 - logcount_predictions_loss: 0.1510 646/684 [===========================>..] - ETA: 11s - loss: 159.1404 - logits_profile_predictions_loss: 158.3249 - logcount_predictions_loss: 0.1510 647/684 [===========================>..] - ETA: 11s - loss: 159.1399 - logits_profile_predictions_loss: 158.3245 - logcount_predictions_loss: 0.1510 648/684 [===========================>..] - ETA: 11s - loss: 159.1394 - logits_profile_predictions_loss: 158.3240 - logcount_predictions_loss: 0.1510 649/684 [===========================>..] - ETA: 10s - loss: 159.1389 - logits_profile_predictions_loss: 158.3235 - logcount_predictions_loss: 0.1510 650/684 [===========================>..] - ETA: 10s - loss: 159.1384 - logits_profile_predictions_loss: 158.3230 - logcount_predictions_loss: 0.1510 651/684 [===========================>..] - ETA: 10s - loss: 159.1379 - logits_profile_predictions_loss: 158.3225 - logcount_predictions_loss: 0.1510 652/684 [===========================>..] - ETA: 9s - loss: 159.1374 - logits_profile_predictions_loss: 158.3220 - logcount_predictions_loss: 0.1510  653/684 [===========================>..] - ETA: 9s - loss: 159.1369 - logits_profile_predictions_loss: 158.3215 - logcount_predictions_loss: 0.1510 654/684 [===========================>..] - ETA: 9s - loss: 159.1365 - logits_profile_predictions_loss: 158.3211 - logcount_predictions_loss: 0.1510 655/684 [===========================>..] - ETA: 8s - loss: 159.1361 - logits_profile_predictions_loss: 158.3207 - logcount_predictions_loss: 0.1510 656/684 [===========================>..] - ETA: 8s - loss: 159.1357 - logits_profile_predictions_loss: 158.3203 - logcount_predictions_loss: 0.1510 657/684 [===========================>..] - ETA: 8s - loss: 159.1354 - logits_profile_predictions_loss: 158.3199 - logcount_predictions_loss: 0.1510 658/684 [===========================>..] - ETA: 8s - loss: 159.1350 - logits_profile_predictions_loss: 158.3195 - logcount_predictions_loss: 0.1510 659/684 [===========================>..] - ETA: 7s - loss: 159.1346 - logits_profile_predictions_loss: 158.3192 - logcount_predictions_loss: 0.1510 660/684 [===========================>..] - ETA: 7s - loss: 159.1342 - logits_profile_predictions_loss: 158.3187 - logcount_predictions_loss: 0.1510 661/684 [===========================>..] - ETA: 7s - loss: 159.1338 - logits_profile_predictions_loss: 158.3184 - logcount_predictions_loss: 0.1510 662/684 [============================>.] - ETA: 6s - loss: 159.1334 - logits_profile_predictions_loss: 158.3180 - logcount_predictions_loss: 0.1510 663/684 [============================>.] - ETA: 6s - loss: 159.1330 - logits_profile_predictions_loss: 158.3176 - logcount_predictions_loss: 0.1510 664/684 [============================>.] - ETA: 6s - loss: 159.1326 - logits_profile_predictions_loss: 158.3172 - logcount_predictions_loss: 0.1510 665/684 [============================>.] - ETA: 5s - loss: 159.1323 - logits_profile_predictions_loss: 158.3169 - logcount_predictions_loss: 0.1510 666/684 [============================>.] - ETA: 5s - loss: 159.1319 - logits_profile_predictions_loss: 158.3165 - logcount_predictions_loss: 0.1510 667/684 [============================>.] - ETA: 5s - loss: 159.1315 - logits_profile_predictions_loss: 158.3161 - logcount_predictions_loss: 0.1510 668/684 [============================>.] - ETA: 4s - loss: 159.1310 - logits_profile_predictions_loss: 158.3156 - logcount_predictions_loss: 0.1510 669/684 [============================>.] - ETA: 4s - loss: 159.1306 - logits_profile_predictions_loss: 158.3152 - logcount_predictions_loss: 0.1510 670/684 [============================>.] - ETA: 4s - loss: 159.1302 - logits_profile_predictions_loss: 158.3148 - logcount_predictions_loss: 0.1510 671/684 [============================>.] - ETA: 4s - loss: 159.1298 - logits_profile_predictions_loss: 158.3144 - logcount_predictions_loss: 0.1510 672/684 [============================>.] - ETA: 3s - loss: 159.1294 - logits_profile_predictions_loss: 158.3140 - logcount_predictions_loss: 0.1510 673/684 [============================>.] - ETA: 3s - loss: 159.1290 - logits_profile_predictions_loss: 158.3136 - logcount_predictions_loss: 0.1510 674/684 [============================>.] - ETA: 3s - loss: 159.1285 - logits_profile_predictions_loss: 158.3132 - logcount_predictions_loss: 0.1510 675/684 [============================>.] - ETA: 2s - loss: 159.1281 - logits_profile_predictions_loss: 158.3128 - logcount_predictions_loss: 0.1510 676/684 [============================>.] - ETA: 2s - loss: 159.1277 - logits_profile_predictions_loss: 158.3124 - logcount_predictions_loss: 0.1510 677/684 [============================>.] - ETA: 2s - loss: 159.1273 - logits_profile_predictions_loss: 158.3119 - logcount_predictions_loss: 0.1510 678/684 [============================>.] - ETA: 1s - loss: 159.1269 - logits_profile_predictions_loss: 158.3115 - logcount_predictions_loss: 0.1510 679/684 [============================>.] - ETA: 1s - loss: 159.1265 - logits_profile_predictions_loss: 158.3111 - logcount_predictions_loss: 0.1510 680/684 [============================>.] - ETA: 1s - loss: 159.1260 - logits_profile_predictions_loss: 158.3107 - logcount_predictions_loss: 0.1510 681/684 [============================>.] - ETA: 0s - loss: 159.1256 - logits_profile_predictions_loss: 158.3103 - logcount_predictions_loss: 0.1510 682/684 [============================>.] - ETA: 0s - loss: 159.1252 - logits_profile_predictions_loss: 158.3099 - logcount_predictions_loss: 0.1510 683/684 [============================>.] - ETA: 0s - loss: 159.1248 - logits_profile_predictions_loss: 158.3095 - logcount_predictions_loss: 0.1510 684/684 [==============================] - ETA: 0s - loss: 159.1244 - logits_profile_predictions_loss: 158.3091 - logcount_predictions_loss: 0.1510 684/684 [==============================] - 221s 323ms/step - loss: 159.1240 - logits_profile_predictions_loss: 158.3087 - logcount_predictions_loss: 0.1510 - val_loss: 180.4783 - val_logits_profile_predictions_loss: 179.6669 - val_logcount_predictions_loss: 0.1503 + +Epoch 00010: val_loss did not improve from 179.07896 +Restoring model weights from the end of the best epoch. +Epoch 00010: early stopping +save model +save model without bias +2022-09-22_23-42-24: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(11453, 10) +loading nonpeaks... +got split:test for bed regions:(11340, 10) +0/90 +2022-09-22_23-44-55: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(11453, 10) +loading nonpeaks... +got split:test for bed regions:(11340, 10) +0/90 +2022-09-22_23-46-56: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_1//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(11453, 10) +loading nonpeaks... +got split:test for bed regions:(11340, 10) +0/90 +2022-09-22_23-48-05: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_23-48-05: 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/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 2:44 3/11 [=======>......................] - ETA: 3s  4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 4s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 44s 3s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +Saving marginal footprints +2022-09-22_23-50-30: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_23-50-30: 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/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:57 3/11 [=======>......................] - ETA: 0s  4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 22s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 91ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 91ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step +Saving marginal footprints diff --git a/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stdout_v1.txt b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..562050f89eec0742fd89b06f8d64caecc8bc2b29 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR609GST/logfile.modelling.fold_1.ENCSR609GST.stdout_v1.txt @@ -0,0 +1,439 @@ +2022-09-22_22-57-35: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 45220 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 45220 +Number of peaks input: 11453 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 11453 +Number of non peaks input: 45332 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 45332 +Number of non peaks input: 11340 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 11340 +Number of peaks after removing outliers: 44722 +Number of nonpeaks after removing outliers: 39651 +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 + 1/1240 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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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(39767, 10) +loading nonpeaks... +got split:train for bed regions:(35148, 10) +loading peaks... +got split:valid for bed regions:(4955, 10) +loading nonpeaks... +got split:valid for bed regions:(4503, 10) +Epoch 1/50 + 1/684 [..............................] - ETA: 17:42:09 - loss: 186.5936 - logits_profile_predictions_loss: 179.1144 - logcount_predictions_loss: 1.3850 2/684 [..............................] - ETA: 3:33 - loss: 531.6050 - logits_profile_predictions_loss: 178.1500 - logcount_predictions_loss: 65.4546  3/684 [..............................] - ETA: 3:31 - loss: 568.2155 - logits_profile_predictions_loss: 176.4602 - logcount_predictions_loss: 72.5473 4/684 [..............................] - ETA: 3:31 - loss: 557.4261 - logits_profile_predictions_loss: 175.3908 - logcount_predictions_loss: 70.7473 5/684 [..............................] - ETA: 3:30 - loss: 538.0042 - logits_profile_predictions_loss: 175.5733 - logcount_predictions_loss: 67.1168 6/684 [..............................] - ETA: 3:30 - loss: 516.9291 - logits_profile_predictions_loss: 175.2926 - logcount_predictions_loss: 63.2660 7/684 [..............................] - ETA: 3:29 - loss: 497.0228 - logits_profile_predictions_loss: 174.9476 - logcount_predictions_loss: 59.6435 8/684 [..............................] - ETA: 3:29 - loss: 478.7019 - logits_profile_predictions_loss: 174.4184 - logcount_predictions_loss: 56.3488 9/684 [..............................] - ETA: 3:28 - loss: 462.2869 - logits_profile_predictions_loss: 173.9770 - logcount_predictions_loss: 53.3907 10/684 [..............................] - ETA: 3:28 - loss: 447.6851 - logits_profile_predictions_loss: 173.6826 - logcount_predictions_loss: 50.7412 11/684 [..............................] - ETA: 3:27 - loss: 434.5547 - logits_profile_predictions_loss: 173.4082 - logcount_predictions_loss: 48.3605 12/684 [..............................] - ETA: 3:27 - loss: 422.7957 - logits_profile_predictions_loss: 173.2331 - logcount_predictions_loss: 46.2153 13/684 [..............................] - ETA: 3:27 - loss: 412.1355 - logits_profile_predictions_loss: 173.0629 - logcount_predictions_loss: 44.2727 14/684 [..............................] - ETA: 3:26 - loss: 402.5196 - logits_profile_predictions_loss: 172.9818 - logcount_predictions_loss: 42.5070 15/684 [..............................] - ETA: 3:26 - loss: 393.7011 - logits_profile_predictions_loss: 172.8701 - logcount_predictions_loss: 40.8946 16/684 [..............................] - ETA: 3:26 - loss: 385.6266 - logits_profile_predictions_loss: 172.7747 - logcount_predictions_loss: 39.4170 17/684 [..............................] - ETA: 3:25 - loss: 378.1727 - logits_profile_predictions_loss: 172.6637 - logcount_predictions_loss: 38.0572 18/684 [..............................] - ETA: 3:25 - loss: 371.2914 - logits_profile_predictions_loss: 172.5599 - logcount_predictions_loss: 36.8021 19/684 [..............................] - ETA: 3:25 - loss: 364.8928 - logits_profile_predictions_loss: 172.4415 - logcount_predictions_loss: 35.6391 20/684 [..............................] - ETA: 3:24 - loss: 358.9605 - logits_profile_predictions_loss: 172.3440 - logcount_predictions_loss: 34.5586 21/684 [..............................] - ETA: 3:24 - loss: 353.4112 - logits_profile_predictions_loss: 172.2339 - logcount_predictions_loss: 33.5513 22/684 [..............................] - ETA: 3:24 - loss: 348.2670 - logits_profile_predictions_loss: 172.1679 - logcount_predictions_loss: 32.6109 23/684 [>.............................] - ETA: 3:23 - loss: 343.4471 - logits_profile_predictions_loss: 172.1037 - logcount_predictions_loss: 31.7302 24/684 [>.............................] - ETA: 3:23 - loss: 338.9323 - logits_profile_predictions_loss: 172.0520 - logcount_predictions_loss: 30.9037 25/684 [>.............................] - ETA: 3:23 - loss: 334.6694 - logits_profile_predictions_loss: 171.9883 - logcount_predictions_loss: 30.1261 26/684 [>.............................] - ETA: 3:22 - loss: 330.6394 - logits_profile_predictions_loss: 171.9174 - logcount_predictions_loss: 29.3930 27/684 [>.............................] - ETA: 3:22 - loss: 326.8264 - logits_profile_predictions_loss: 171.8438 - logcount_predictions_loss: 28.7005 28/684 [>.............................] - ETA: 3:22 - loss: 323.2095 - logits_profile_predictions_loss: 171.7652 - logcount_predictions_loss: 28.0452 29/684 [>.............................] - ETA: 3:21 - loss: 319.7850 - logits_profile_predictions_loss: 171.6930 - logcount_predictions_loss: 27.4244 30/684 [>.............................] - ETA: 3:21 - loss: 316.5174 - logits_profile_predictions_loss: 171.6087 - logcount_predictions_loss: 26.8349 31/684 [>.............................] - ETA: 3:21 - loss: 313.4102 - logits_profile_predictions_loss: 171.5275 - logcount_predictions_loss: 26.2746 32/684 [>.............................] - ETA: 3:20 - loss: 310.4517 - logits_profile_predictions_loss: 171.4497 - logcount_predictions_loss: 25.7411 33/684 [>.............................] - ETA: 3:20 - loss: 307.6321 - logits_profile_predictions_loss: 171.3765 - logcount_predictions_loss: 25.2325 34/684 [>.............................] - ETA: 3:20 - loss: 304.9297 - logits_profile_predictions_loss: 171.2965 - logcount_predictions_loss: 24.7469 35/684 [>.............................] - ETA: 3:19 - loss: 302.3420 - logits_profile_predictions_loss: 171.2153 - logcount_predictions_loss: 24.2827 36/684 [>.............................] - ETA: 3:19 - loss: 299.8676 - logits_profile_predictions_loss: 171.1380 - logcount_predictions_loss: 23.8388 37/684 [>.............................] - ETA: 3:19 - loss: 297.5042 - logits_profile_predictions_loss: 171.0694 - logcount_predictions_loss: 23.4139 38/684 [>.............................] - ETA: 3:18 - loss: 295.2343 - logits_profile_predictions_loss: 171.0001 - logcount_predictions_loss: 23.0063 39/684 [>.............................] - ETA: 3:18 - loss: 293.0602 - logits_profile_predictions_loss: 170.9375 - logcount_predictions_loss: 22.6153 40/684 [>.............................] - ETA: 3:18 - loss: 290.9728 - logits_profile_predictions_loss: 170.8785 - logcount_predictions_loss: 22.2397 41/684 [>.............................] - ETA: 3:17 - loss: 288.9781 - logits_profile_predictions_loss: 170.8330 - logcount_predictions_loss: 21.8787 42/684 [>.............................] - ETA: 3:17 - loss: 287.0561 - logits_profile_predictions_loss: 170.7864 - logcount_predictions_loss: 21.5314 43/684 [>.............................] - ETA: 3:17 - loss: 285.2025 - logits_profile_predictions_loss: 170.7392 - logcount_predictions_loss: 21.1969 44/684 [>.............................] - ETA: 3:17 - loss: 283.4077 - logits_profile_predictions_loss: 170.6863 - logcount_predictions_loss: 20.8743 45/684 [>.............................] - ETA: 3:16 - loss: 281.6741 - logits_profile_predictions_loss: 170.6333 - logcount_predictions_loss: 20.5631 46/684 [=>............................] - ETA: 3:16 - loss: 280.0013 - logits_profile_predictions_loss: 170.5828 - logcount_predictions_loss: 20.2627 47/684 [=>............................] - ETA: 3:16 - loss: 278.3766 - logits_profile_predictions_loss: 170.5257 - logcount_predictions_loss: 19.9724 48/684 [=>............................] - ETA: 3:15 - loss: 276.8131 - logits_profile_predictions_loss: 170.4769 - logcount_predictions_loss: 19.6919 49/684 [=>............................] - ETA: 3:15 - loss: 275.2964 - logits_profile_predictions_loss: 170.4254 - logcount_predictions_loss: 19.4206 50/684 [=>............................] - ETA: 3:15 - loss: 273.8286 - logits_profile_predictions_loss: 170.3755 - logcount_predictions_loss: 19.1580 51/684 [=>............................] - ETA: 3:14 - loss: 272.4060 - logits_profile_predictions_loss: 170.3259 - logcount_predictions_loss: 18.9037 52/684 [=>............................] - ETA: 3:14 - loss: 271.0340 - logits_profile_predictions_loss: 170.2838 - logcount_predictions_loss: 18.6574 53/684 [=>............................] - ETA: 3:14 - loss: 269.7086 - logits_profile_predictions_loss: 170.2473 - logcount_predictions_loss: 18.4187 54/684 [=>............................] - ETA: 3:14 - loss: 268.4214 - logits_profile_predictions_loss: 170.2103 - logcount_predictions_loss: 18.1872 55/684 [=>............................] - ETA: 3:13 - loss: 267.1732 - logits_profile_predictions_loss: 170.1756 - logcount_predictions_loss: 17.9625 56/684 [=>............................] - ETA: 3:13 - loss: 265.9613 - logits_profile_predictions_loss: 170.1415 - logcount_predictions_loss: 17.7444 57/684 [=>............................] - ETA: 3:13 - loss: 264.7854 - logits_profile_predictions_loss: 170.1095 - logcount_predictions_loss: 17.5326 58/684 [=>............................] - ETA: 3:12 - loss: 263.6427 - logits_profile_predictions_loss: 170.0788 - logcount_predictions_loss: 17.3266 59/684 [=>............................] - ETA: 3:12 - loss: 262.5360 - logits_profile_predictions_loss: 170.0529 - logcount_predictions_loss: 17.1265 60/684 [=>............................] - ETA: 3:12 - loss: 261.4624 - logits_profile_predictions_loss: 170.0304 - logcount_predictions_loss: 16.9318 61/684 [=>............................] - ETA: 3:11 - loss: 260.4177 - logits_profile_predictions_loss: 170.0087 - logcount_predictions_loss: 16.7424 62/684 [=>............................] - ETA: 3:11 - loss: 259.3984 - logits_profile_predictions_loss: 169.9854 - logcount_predictions_loss: 16.5580 63/684 [=>............................] - ETA: 3:11 - loss: 258.4048 - logits_profile_predictions_loss: 169.9620 - logcount_predictions_loss: 16.3783 64/684 [=>............................] - ETA: 3:11 - loss: 257.4359 - logits_profile_predictions_loss: 169.9384 - logcount_predictions_loss: 16.2032 65/684 [=>............................] - ETA: 3:10 - loss: 256.4897 - logits_profile_predictions_loss: 169.9135 - logcount_predictions_loss: 16.0326 66/684 [=>............................] - ETA: 3:10 - loss: 255.5695 - logits_profile_predictions_loss: 169.8913 - logcount_predictions_loss: 15.8663 67/684 [=>............................] - ETA: 3:10 - loss: 254.6693 - logits_profile_predictions_loss: 169.8673 - logcount_predictions_loss: 15.7041 68/684 [=>............................] - ETA: 3:09 - loss: 253.7888 - logits_profile_predictions_loss: 169.8419 - logcount_predictions_loss: 15.5457 69/684 [==>...........................] - ETA: 3:09 - loss: 252.9291 - logits_profile_predictions_loss: 169.8170 - logcount_predictions_loss: 15.3911 70/684 [==>...........................] - ETA: 3:09 - loss: 252.0838 - logits_profile_predictions_loss: 169.7871 - logcount_predictions_loss: 15.2401 71/684 [==>...........................] - ETA: 3:08 - loss: 251.2585 - logits_profile_predictions_loss: 169.7582 - logcount_predictions_loss: 15.0927 72/684 [==>...........................] - ETA: 3:08 - loss: 250.4518 - logits_profile_predictions_loss: 169.7298 - logcount_predictions_loss: 14.9485 73/684 [==>...........................] - ETA: 3:08 - loss: 249.6657 - logits_profile_predictions_loss: 169.7039 - logcount_predictions_loss: 14.8077 74/684 [==>...........................] - ETA: 3:08 - loss: 248.8949 - logits_profile_predictions_loss: 169.6767 - logcount_predictions_loss: 14.6700 75/684 [==>...........................] - ETA: 3:07 - loss: 248.1400 - logits_profile_predictions_loss: 169.6490 - logcount_predictions_loss: 14.5354 76/684 [==>...........................] - ETA: 3:07 - loss: 247.4039 - logits_profile_predictions_loss: 169.6239 - logcount_predictions_loss: 14.4037 77/684 [==>...........................] - ETA: 3:07 - loss: 246.6835 - logits_profile_predictions_loss: 169.5994 - logcount_predictions_loss: 14.2748 78/684 [==>...........................] - ETA: 3:06 - loss: 245.9800 - logits_profile_predictions_loss: 169.5767 - logcount_predictions_loss: 14.1488 79/684 [==>...........................] - ETA: 3:06 - loss: 245.2923 - logits_profile_predictions_loss: 169.5553 - logcount_predictions_loss: 14.0254 80/684 [==>...........................] - ETA: 3:06 - loss: 244.6174 - logits_profile_predictions_loss: 169.5328 - logcount_predictions_loss: 13.9046 81/684 [==>...........................] - ETA: 3:05 - loss: 243.9581 - logits_profile_predictions_loss: 169.5123 - logcount_predictions_loss: 13.7863 82/684 [==>...........................] - ETA: 3:05 - loss: 243.3149 - logits_profile_predictions_loss: 169.4945 - logcount_predictions_loss: 13.6704 83/684 [==>...........................] - ETA: 3:05 - loss: 242.6826 - logits_profile_predictions_loss: 169.4753 - logcount_predictions_loss: 13.5569 84/684 [==>...........................] - ETA: 3:04 - loss: 242.0635 - logits_profile_predictions_loss: 169.4570 - logcount_predictions_loss: 13.4456 85/684 [==>...........................] - ETA: 3:04 - loss: 241.4557 - logits_profile_predictions_loss: 169.4382 - logcount_predictions_loss: 13.3366 86/684 [==>...........................] - ETA: 3:04 - loss: 240.8583 - logits_profile_predictions_loss: 169.4182 - logcount_predictions_loss: 13.2296 87/684 [==>...........................] - ETA: 3:04 - loss: 240.2729 - logits_profile_predictions_loss: 169.3993 - logcount_predictions_loss: 13.1247 88/684 [==>...........................] - ETA: 3:03 - loss: 239.6988 - logits_profile_predictions_loss: 169.3809 - logcount_predictions_loss: 13.0218 89/684 [==>...........................] - ETA: 3:03 - loss: 239.1354 - logits_profile_predictions_loss: 169.3625 - logcount_predictions_loss: 12.9209 90/684 [==>...........................] - ETA: 3:03 - loss: 238.5809 - logits_profile_predictions_loss: 169.3430 - logcount_predictions_loss: 12.8218 91/684 [==>...........................] - ETA: 3:02 - loss: 238.0369 - logits_profile_predictions_loss: 169.3240 - logcount_predictions_loss: 12.7246 92/684 [===>..........................] - ETA: 3:02 - loss: 237.5033 - logits_profile_predictions_loss: 169.3057 - logcount_predictions_loss: 12.6292 93/684 [===>..........................] - ETA: 3:02 - loss: 236.9789 - 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[===>..........................] - ETA: 3:00 - loss: 233.5459 - logits_profile_predictions_loss: 169.1578 - logcount_predictions_loss: 11.9237 101/684 [===>..........................] - ETA: 2:59 - loss: 233.0846 - logits_profile_predictions_loss: 169.1370 - logcount_predictions_loss: 11.8421 102/684 [===>..........................] - ETA: 2:59 - loss: 232.6316 - logits_profile_predictions_loss: 169.1172 - logcount_predictions_loss: 11.7619 103/684 [===>..........................] - ETA: 2:59 - loss: 232.1852 - logits_profile_predictions_loss: 169.0969 - logcount_predictions_loss: 11.6830 104/684 [===>..........................] - ETA: 2:58 - loss: 231.7452 - logits_profile_predictions_loss: 169.0761 - logcount_predictions_loss: 11.6054 105/684 [===>..........................] - ETA: 2:58 - loss: 231.3128 - logits_profile_predictions_loss: 169.0561 - logcount_predictions_loss: 11.5290 106/684 [===>..........................] - ETA: 2:58 - loss: 230.8886 - 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logcount_predictions_loss: 3.4616 682/684 [============================>.] - ETA: 0s - loss: 185.8817 - logits_profile_predictions_loss: 167.2049 - logcount_predictions_loss: 3.4587 683/684 [============================>.] - ETA: 0s - loss: 185.8650 - logits_profile_predictions_loss: 167.2041 - logcount_predictions_loss: 3.4557 684/684 [==============================] - ETA: 0s - loss: 185.8483 - logits_profile_predictions_loss: 167.2033 - logcount_predictions_loss: 3.4528 684/684 [==============================] - 451s 524ms/step - loss: 185.8317 - logits_profile_predictions_loss: 167.2024 - logcount_predictions_loss: 3.4499 - val_loss: 182.3722 - val_logits_profile_predictions_loss: 180.6947 - val_logcount_predictions_loss: 0.3107 + +Epoch 00001: val_loss improved from inf to 182.37222, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1/chrombpnet.h5 +Epoch 2/50 + 1/684 [..............................] - ETA: 3:34 - loss: 178.9201 - logits_profile_predictions_loss: 177.4663 - logcount_predictions_loss: 0.2692 2/684 [..............................] - ETA: 3:28 - loss: 184.2190 - logits_profile_predictions_loss: 182.6117 - logcount_predictions_loss: 0.2977 3/684 [..............................] - ETA: 3:28 - loss: 185.2220 - logits_profile_predictions_loss: 183.5470 - logcount_predictions_loss: 0.3102 4/684 [..............................] - ETA: 3:28 - loss: 185.0647 - logits_profile_predictions_loss: 183.3561 - logcount_predictions_loss: 0.3164 5/684 [..............................] - ETA: 3:28 - loss: 184.2210 - logits_profile_predictions_loss: 182.4794 - logcount_predictions_loss: 0.3225 6/684 [..............................] - ETA: 3:27 - loss: 183.2627 - logits_profile_predictions_loss: 181.5038 - logcount_predictions_loss: 0.3257 7/684 [..............................] - ETA: 3:27 - loss: 182.6559 - logits_profile_predictions_loss: 180.8926 - logcount_predictions_loss: 0.3265 8/684 [..............................] - ETA: 3:27 - loss: 182.1203 - logits_profile_predictions_loss: 180.3548 - logcount_predictions_loss: 0.3269 9/684 [..............................] - ETA: 3:26 - loss: 181.6355 - logits_profile_predictions_loss: 179.8637 - logcount_predictions_loss: 0.3281 10/684 [..............................] - ETA: 3:26 - loss: 181.1020 - logits_profile_predictions_loss: 179.3315 - logcount_predictions_loss: 0.3279 11/684 [..............................] - ETA: 3:26 - loss: 180.5434 - logits_profile_predictions_loss: 178.7746 - logcount_predictions_loss: 0.3276 12/684 [..............................] - ETA: 3:26 - loss: 179.9025 - logits_profile_predictions_loss: 178.1373 - logcount_predictions_loss: 0.3269 13/684 [..............................] - ETA: 3:25 - loss: 179.2659 - logits_profile_predictions_loss: 177.5061 - logcount_predictions_loss: 0.3259 14/684 [..............................] - ETA: 3:25 - loss: 178.6302 - logits_profile_predictions_loss: 176.8778 - logcount_predictions_loss: 0.3245 15/684 [..............................] - ETA: 3:25 - loss: 178.0536 - logits_profile_predictions_loss: 176.3056 - logcount_predictions_loss: 0.3237 16/684 [..............................] - ETA: 3:24 - loss: 177.5570 - logits_profile_predictions_loss: 175.8125 - logcount_predictions_loss: 0.3230 17/684 [..............................] - ETA: 3:24 - loss: 177.1116 - logits_profile_predictions_loss: 175.3697 - logcount_predictions_loss: 0.3226 18/684 [..............................] - ETA: 3:24 - loss: 176.6597 - logits_profile_predictions_loss: 174.9202 - logcount_predictions_loss: 0.3221 19/684 [..............................] - ETA: 3:24 - loss: 176.2604 - logits_profile_predictions_loss: 174.5231 - logcount_predictions_loss: 0.3217 20/684 [..............................] - ETA: 3:23 - loss: 175.8632 - logits_profile_predictions_loss: 174.1276 - logcount_predictions_loss: 0.3214 21/684 [..............................] - ETA: 3:23 - loss: 175.4943 - logits_profile_predictions_loss: 173.7607 - logcount_predictions_loss: 0.3210 22/684 [..............................] - ETA: 3:23 - loss: 175.1431 - logits_profile_predictions_loss: 173.4123 - logcount_predictions_loss: 0.3205 23/684 [>.............................] - ETA: 3:22 - loss: 174.7916 - logits_profile_predictions_loss: 173.0641 - logcount_predictions_loss: 0.3199 24/684 [>.............................] - ETA: 3:22 - loss: 174.4690 - logits_profile_predictions_loss: 172.7441 - logcount_predictions_loss: 0.3194 25/684 [>.............................] - ETA: 3:22 - loss: 174.1799 - logits_profile_predictions_loss: 172.4567 - logcount_predictions_loss: 0.3191 26/684 [>.............................] - ETA: 3:21 - loss: 173.9223 - logits_profile_predictions_loss: 172.2005 - logcount_predictions_loss: 0.3188 27/684 [>.............................] - ETA: 3:21 - loss: 173.6888 - logits_profile_predictions_loss: 171.9679 - logcount_predictions_loss: 0.3187 28/684 [>.............................] - ETA: 3:21 - loss: 173.4843 - logits_profile_predictions_loss: 171.7646 - logcount_predictions_loss: 0.3185 29/684 [>.............................] - ETA: 3:21 - loss: 173.3120 - logits_profile_predictions_loss: 171.5934 - logcount_predictions_loss: 0.3183 30/684 [>.............................] - ETA: 3:20 - loss: 173.1666 - logits_profile_predictions_loss: 171.4493 - logcount_predictions_loss: 0.3180 31/684 [>.............................] - ETA: 3:20 - loss: 173.0407 - logits_profile_predictions_loss: 171.3246 - logcount_predictions_loss: 0.3178 32/684 [>.............................] - ETA: 3:20 - loss: 172.9238 - logits_profile_predictions_loss: 171.2085 - logcount_predictions_loss: 0.3177 33/684 [>.............................] - ETA: 3:19 - loss: 172.8195 - logits_profile_predictions_loss: 171.1048 - logcount_predictions_loss: 0.3175 34/684 [>.............................] - ETA: 3:19 - loss: 172.7178 - logits_profile_predictions_loss: 171.0039 - logcount_predictions_loss: 0.3174 35/684 [>.............................] - ETA: 3:19 - loss: 172.6175 - logits_profile_predictions_loss: 170.9044 - logcount_predictions_loss: 0.3172 36/684 [>.............................] - ETA: 3:19 - loss: 172.5287 - logits_profile_predictions_loss: 170.8162 - logcount_predictions_loss: 0.3171 37/684 [>.............................] - ETA: 3:18 - loss: 172.4342 - logits_profile_predictions_loss: 170.7228 - logcount_predictions_loss: 0.3169 38/684 [>.............................] - ETA: 3:18 - loss: 172.3494 - logits_profile_predictions_loss: 170.6387 - logcount_predictions_loss: 0.3168 39/684 [>.............................] - ETA: 3:18 - loss: 172.2631 - logits_profile_predictions_loss: 170.5530 - logcount_predictions_loss: 0.3167 40/684 [>.............................] - ETA: 3:17 - loss: 172.1730 - logits_profile_predictions_loss: 170.4637 - logcount_predictions_loss: 0.3165 41/684 [>.............................] - ETA: 3:17 - loss: 172.0890 - logits_profile_predictions_loss: 170.3802 - logcount_predictions_loss: 0.3164 42/684 [>.............................] - ETA: 3:17 - loss: 172.0146 - logits_profile_predictions_loss: 170.3061 - logcount_predictions_loss: 0.3164 43/684 [>.............................] - ETA: 3:16 - loss: 171.9449 - logits_profile_predictions_loss: 170.2365 - logcount_predictions_loss: 0.3164 44/684 [>.............................] - ETA: 3:16 - loss: 171.8752 - logits_profile_predictions_loss: 170.1667 - logcount_predictions_loss: 0.3164 45/684 [>.............................] - ETA: 3:16 - loss: 171.7997 - logits_profile_predictions_loss: 170.0912 - logcount_predictions_loss: 0.3164 46/684 [=>............................] - ETA: 3:16 - loss: 171.7306 - logits_profile_predictions_loss: 170.0220 - logcount_predictions_loss: 0.3164 47/684 [=>............................] - ETA: 3:15 - loss: 171.6673 - logits_profile_predictions_loss: 169.9588 - logcount_predictions_loss: 0.3164 48/684 [=>............................] - ETA: 3:15 - loss: 171.6119 - logits_profile_predictions_loss: 169.9032 - logcount_predictions_loss: 0.3164 49/684 [=>............................] - ETA: 3:15 - loss: 171.5543 - logits_profile_predictions_loss: 169.8456 - logcount_predictions_loss: 0.3164 50/684 [=>............................] - ETA: 3:14 - loss: 171.4975 - logits_profile_predictions_loss: 169.7887 - logcount_predictions_loss: 0.3164 51/684 [=>............................] - ETA: 3:14 - loss: 171.4432 - logits_profile_predictions_loss: 169.7345 - logcount_predictions_loss: 0.3164 52/684 [=>............................] - ETA: 3:14 - loss: 171.3906 - logits_profile_predictions_loss: 169.6819 - logcount_predictions_loss: 0.3164 53/684 [=>............................] - ETA: 3:13 - loss: 171.3435 - logits_profile_predictions_loss: 169.6348 - logcount_predictions_loss: 0.3164 54/684 [=>............................] - ETA: 3:13 - loss: 171.3068 - logits_profile_predictions_loss: 169.5981 - logcount_predictions_loss: 0.3164 55/684 [=>............................] - ETA: 3:13 - loss: 171.2765 - logits_profile_predictions_loss: 169.5677 - logcount_predictions_loss: 0.3164 56/684 [=>............................] - ETA: 3:12 - loss: 171.2497 - logits_profile_predictions_loss: 169.5408 - logcount_predictions_loss: 0.3164 57/684 [=>............................] - ETA: 3:12 - loss: 171.2238 - logits_profile_predictions_loss: 169.5148 - logcount_predictions_loss: 0.3165 58/684 [=>............................] - ETA: 3:12 - loss: 171.2042 - logits_profile_predictions_loss: 169.4951 - logcount_predictions_loss: 0.3165 59/684 [=>............................] - ETA: 3:12 - loss: 171.1847 - logits_profile_predictions_loss: 169.4756 - logcount_predictions_loss: 0.3165 60/684 [=>............................] - ETA: 3:11 - loss: 171.1627 - logits_profile_predictions_loss: 169.4537 - logcount_predictions_loss: 0.3165 61/684 [=>............................] - ETA: 3:11 - loss: 171.1387 - logits_profile_predictions_loss: 169.4299 - logcount_predictions_loss: 0.3164 62/684 [=>............................] - ETA: 3:11 - loss: 171.1134 - logits_profile_predictions_loss: 169.4047 - logcount_predictions_loss: 0.3164 63/684 [=>............................] - ETA: 3:10 - loss: 171.0878 - logits_profile_predictions_loss: 169.3795 - logcount_predictions_loss: 0.3163 64/684 [=>............................] - ETA: 3:10 - loss: 171.0598 - logits_profile_predictions_loss: 169.3519 - logcount_predictions_loss: 0.3163 65/684 [=>............................] - ETA: 3:10 - loss: 171.0307 - logits_profile_predictions_loss: 169.3232 - logcount_predictions_loss: 0.3162 66/684 [=>............................] - ETA: 3:10 - loss: 171.0026 - logits_profile_predictions_loss: 169.2956 - logcount_predictions_loss: 0.3161 67/684 [=>............................] - ETA: 3:09 - loss: 170.9717 - logits_profile_predictions_loss: 169.2652 - logcount_predictions_loss: 0.3160 68/684 [=>............................] - ETA: 3:09 - loss: 170.9403 - logits_profile_predictions_loss: 169.2345 - logcount_predictions_loss: 0.3159 69/684 [==>...........................] - ETA: 3:09 - loss: 170.9094 - logits_profile_predictions_loss: 169.2041 - logcount_predictions_loss: 0.3158 70/684 [==>...........................] - ETA: 3:08 - loss: 170.8790 - logits_profile_predictions_loss: 169.1741 - logcount_predictions_loss: 0.3157 71/684 [==>...........................] - ETA: 3:08 - loss: 170.8476 - logits_profile_predictions_loss: 169.1431 - logcount_predictions_loss: 0.3156 72/684 [==>...........................] - ETA: 3:08 - loss: 170.8121 - logits_profile_predictions_loss: 169.1080 - logcount_predictions_loss: 0.3156 73/684 [==>...........................] - ETA: 3:07 - loss: 170.7777 - logits_profile_predictions_loss: 169.0740 - logcount_predictions_loss: 0.3155 74/684 [==>...........................] - ETA: 3:07 - loss: 170.7413 - logits_profile_predictions_loss: 169.0380 - logcount_predictions_loss: 0.3154 75/684 [==>...........................] - ETA: 3:07 - loss: 170.7057 - logits_profile_predictions_loss: 169.0029 - logcount_predictions_loss: 0.3153 76/684 [==>...........................] - ETA: 3:06 - loss: 170.6698 - logits_profile_predictions_loss: 168.9675 - logcount_predictions_loss: 0.3152 77/684 [==>...........................] - ETA: 3:06 - loss: 170.6340 - logits_profile_predictions_loss: 168.9323 - logcount_predictions_loss: 0.3151 78/684 [==>...........................] - ETA: 3:06 - loss: 170.6012 - logits_profile_predictions_loss: 168.8999 - logcount_predictions_loss: 0.3150 79/684 [==>...........................] - ETA: 3:06 - loss: 170.5691 - logits_profile_predictions_loss: 168.8684 - logcount_predictions_loss: 0.3150 80/684 [==>...........................] - ETA: 3:05 - loss: 170.5366 - logits_profile_predictions_loss: 168.8363 - logcount_predictions_loss: 0.3149 81/684 [==>...........................] - ETA: 3:05 - loss: 170.5047 - logits_profile_predictions_loss: 168.8050 - logcount_predictions_loss: 0.3147 82/684 [==>...........................] - ETA: 3:05 - loss: 170.4711 - logits_profile_predictions_loss: 168.7720 - logcount_predictions_loss: 0.3146 83/684 [==>...........................] - ETA: 3:04 - loss: 170.4405 - logits_profile_predictions_loss: 168.7421 - logcount_predictions_loss: 0.3145 84/684 [==>...........................] - ETA: 3:04 - loss: 170.4119 - logits_profile_predictions_loss: 168.7142 - logcount_predictions_loss: 0.3144 85/684 [==>...........................] - ETA: 3:04 - loss: 170.3861 - logits_profile_predictions_loss: 168.6892 - logcount_predictions_loss: 0.3142 86/684 [==>...........................] - ETA: 3:03 - loss: 170.3589 - logits_profile_predictions_loss: 168.6627 - logcount_predictions_loss: 0.3141 87/684 [==>...........................] - ETA: 3:03 - loss: 170.3338 - logits_profile_predictions_loss: 168.6384 - logcount_predictions_loss: 0.3140 88/684 [==>...........................] - ETA: 3:03 - loss: 170.3089 - logits_profile_predictions_loss: 168.6142 - logcount_predictions_loss: 0.3138 89/684 [==>...........................] - ETA: 3:02 - loss: 170.2827 - logits_profile_predictions_loss: 168.5889 - logcount_predictions_loss: 0.3137 90/684 [==>...........................] - ETA: 3:02 - loss: 170.2557 - logits_profile_predictions_loss: 168.5627 - logcount_predictions_loss: 0.3135 91/684 [==>...........................] - ETA: 3:02 - loss: 170.2286 - logits_profile_predictions_loss: 168.5365 - logcount_predictions_loss: 0.3134 92/684 [===>..........................] - ETA: 3:02 - loss: 170.2027 - logits_profile_predictions_loss: 168.5114 - logcount_predictions_loss: 0.3132 93/684 [===>..........................] - ETA: 3:01 - loss: 170.1766 - logits_profile_predictions_loss: 168.4861 - logcount_predictions_loss: 0.3130 94/684 [===>..........................] - ETA: 3:01 - loss: 170.1513 - logits_profile_predictions_loss: 168.4617 - logcount_predictions_loss: 0.3129 95/684 [===>..........................] - ETA: 3:01 - loss: 170.1283 - logits_profile_predictions_loss: 168.4395 - logcount_predictions_loss: 0.3127 96/684 [===>..........................] - ETA: 3:00 - loss: 170.1056 - logits_profile_predictions_loss: 168.4177 - logcount_predictions_loss: 0.3126 97/684 [===>..........................] - ETA: 3:00 - loss: 170.0837 - logits_profile_predictions_loss: 168.3965 - logcount_predictions_loss: 0.3124 98/684 [===>..........................] - ETA: 3:00 - loss: 170.0612 - logits_profile_predictions_loss: 168.3749 - logcount_predictions_loss: 0.3123 99/684 [===>..........................] - ETA: 2:59 - loss: 170.0387 - logits_profile_predictions_loss: 168.3533 - logcount_predictions_loss: 0.3121 100/684 [===>..........................] - ETA: 2:59 - loss: 170.0164 - logits_profile_predictions_loss: 168.3319 - logcount_predictions_loss: 0.3119 101/684 [===>..........................] - ETA: 2:59 - loss: 169.9936 - logits_profile_predictions_loss: 168.3100 - logcount_predictions_loss: 0.3118 102/684 [===>..........................] - ETA: 2:58 - loss: 169.9717 - logits_profile_predictions_loss: 168.2890 - logcount_predictions_loss: 0.3116 103/684 [===>..........................] - ETA: 2:58 - loss: 169.9504 - logits_profile_predictions_loss: 168.2685 - logcount_predictions_loss: 0.3115 104/684 [===>..........................] - ETA: 2:58 - loss: 169.9291 - logits_profile_predictions_loss: 168.2480 - logcount_predictions_loss: 0.3113 105/684 [===>..........................] - ETA: 2:57 - loss: 169.9096 - logits_profile_predictions_loss: 168.2293 - logcount_predictions_loss: 0.3112 106/684 [===>..........................] - ETA: 2:57 - loss: 169.8906 - logits_profile_predictions_loss: 168.2110 - logcount_predictions_loss: 0.3110 107/684 [===>..........................] - ETA: 2:57 - loss: 169.8717 - logits_profile_predictions_loss: 168.1928 - logcount_predictions_loss: 0.3109 108/684 [===>..........................] - ETA: 2:57 - loss: 169.8552 - logits_profile_predictions_loss: 168.1770 - logcount_predictions_loss: 0.3108 109/684 [===>..........................] - ETA: 2:56 - loss: 169.8404 - logits_profile_predictions_loss: 168.1628 - logcount_predictions_loss: 0.3107 110/684 [===>..........................] - ETA: 2:56 - loss: 169.8253 - logits_profile_predictions_loss: 168.1483 - logcount_predictions_loss: 0.3106 111/684 [===>..........................] - ETA: 2:56 - loss: 169.8097 - logits_profile_predictions_loss: 168.1334 - logcount_predictions_loss: 0.3104 112/684 [===>..........................] - ETA: 2:55 - loss: 169.7942 - logits_profile_predictions_loss: 168.1185 - logcount_predictions_loss: 0.3103 113/684 [===>..........................] - ETA: 2:55 - loss: 169.7791 - logits_profile_predictions_loss: 168.1039 - logcount_predictions_loss: 0.3102 114/684 [====>.........................] - ETA: 2:55 - loss: 169.7637 - logits_profile_predictions_loss: 168.0892 - logcount_predictions_loss: 0.3101 115/684 [====>.........................] - ETA: 2:54 - loss: 169.7490 - logits_profile_predictions_loss: 168.0751 - logcount_predictions_loss: 0.3100 116/684 [====>.........................] - ETA: 2:54 - loss: 169.7350 - logits_profile_predictions_loss: 168.0617 - logcount_predictions_loss: 0.3099 117/684 [====>.........................] - ETA: 2:54 - loss: 169.7210 - logits_profile_predictions_loss: 168.0484 - logcount_predictions_loss: 0.3097 118/684 [====>.........................] - ETA: 2:53 - loss: 169.7073 - logits_profile_predictions_loss: 168.0352 - logcount_predictions_loss: 0.3096 119/684 [====>.........................] - ETA: 2:53 - loss: 169.6932 - logits_profile_predictions_loss: 168.0218 - logcount_predictions_loss: 0.3095 120/684 [====>.........................] - ETA: 2:53 - loss: 169.6787 - logits_profile_predictions_loss: 168.0079 - logcount_predictions_loss: 0.3094 121/684 [====>.........................] - ETA: 2:52 - loss: 169.6637 - logits_profile_predictions_loss: 167.9935 - logcount_predictions_loss: 0.3093 122/684 [====>.........................] - ETA: 2:52 - loss: 169.6494 - logits_profile_predictions_loss: 167.9797 - logcount_predictions_loss: 0.3092 123/684 [====>.........................] - ETA: 2:52 - loss: 169.6350 - logits_profile_predictions_loss: 167.9659 - logcount_predictions_loss: 0.3091 124/684 [====>.........................] - ETA: 2:52 - loss: 169.6204 - logits_profile_predictions_loss: 167.9519 - logcount_predictions_loss: 0.3090 125/684 [====>.........................] - ETA: 2:51 - loss: 169.6064 - logits_profile_predictions_loss: 167.9384 - logcount_predictions_loss: 0.3089 126/684 [====>.........................] - ETA: 2:51 - loss: 169.5912 - logits_profile_predictions_loss: 167.9239 - logcount_predictions_loss: 0.3088 127/684 [====>.........................] - ETA: 2:51 - loss: 169.5755 - logits_profile_predictions_loss: 167.9088 - logcount_predictions_loss: 0.3086 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[=>............................] - ETA: 3:14 - loss: 163.4010 - logits_profile_predictions_loss: 162.3941 - logcount_predictions_loss: 0.1865 54/684 [=>............................] - ETA: 3:13 - loss: 163.4114 - logits_profile_predictions_loss: 162.4037 - logcount_predictions_loss: 0.1866 55/684 [=>............................] - ETA: 3:13 - loss: 163.4201 - logits_profile_predictions_loss: 162.4117 - logcount_predictions_loss: 0.1867 56/684 [=>............................] - ETA: 3:13 - loss: 163.4267 - logits_profile_predictions_loss: 162.4177 - logcount_predictions_loss: 0.1869 57/684 [=>............................] - ETA: 3:12 - loss: 163.4321 - logits_profile_predictions_loss: 162.4225 - logcount_predictions_loss: 0.1870 58/684 [=>............................] - ETA: 3:12 - loss: 163.4364 - logits_profile_predictions_loss: 162.4262 - logcount_predictions_loss: 0.1871 59/684 [=>............................] - ETA: 3:12 - loss: 163.4406 - logits_profile_predictions_loss: 162.4299 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[..............................] - ETA: 3:27 - loss: 164.9839 - logits_profile_predictions_loss: 164.0148 - logcount_predictions_loss: 0.1795 10/684 [..............................] - ETA: 3:26 - loss: 164.8111 - logits_profile_predictions_loss: 163.8430 - logcount_predictions_loss: 0.1793 11/684 [..............................] - ETA: 3:26 - loss: 164.7836 - logits_profile_predictions_loss: 163.8169 - logcount_predictions_loss: 0.1790 12/684 [..............................] - ETA: 3:26 - loss: 164.7466 - logits_profile_predictions_loss: 163.7825 - logcount_predictions_loss: 0.1785 13/684 [..............................] - ETA: 3:25 - loss: 164.6600 - logits_profile_predictions_loss: 163.6990 - logcount_predictions_loss: 0.1780 14/684 [..............................] - ETA: 3:25 - loss: 164.6365 - logits_profile_predictions_loss: 163.6783 - logcount_predictions_loss: 0.1775 15/684 [..............................] - ETA: 3:25 - loss: 164.6451 - logits_profile_predictions_loss: 163.6883 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[=>............................] - ETA: 3:15 - loss: 164.9253 - logits_profile_predictions_loss: 163.9675 - logcount_predictions_loss: 0.1774 50/684 [=>............................] - ETA: 3:14 - loss: 164.9112 - logits_profile_predictions_loss: 163.9532 - logcount_predictions_loss: 0.1774 51/684 [=>............................] - ETA: 3:14 - loss: 164.8984 - logits_profile_predictions_loss: 163.9402 - logcount_predictions_loss: 0.1774 52/684 [=>............................] - ETA: 3:14 - loss: 164.8844 - logits_profile_predictions_loss: 163.9261 - logcount_predictions_loss: 0.1775 53/684 [=>............................] - ETA: 3:13 - loss: 164.8724 - logits_profile_predictions_loss: 163.9139 - logcount_predictions_loss: 0.1775 54/684 [=>............................] - ETA: 3:13 - loss: 164.8610 - logits_profile_predictions_loss: 163.9023 - logcount_predictions_loss: 0.1775 55/684 [=>............................] - ETA: 3:13 - loss: 164.8492 - logits_profile_predictions_loss: 163.8903 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[==>...........................] - ETA: 3:08 - loss: 164.7578 - logits_profile_predictions_loss: 163.7985 - logcount_predictions_loss: 0.1776 70/684 [==>...........................] - ETA: 3:08 - loss: 164.7515 - logits_profile_predictions_loss: 163.7924 - logcount_predictions_loss: 0.1776 71/684 [==>...........................] - ETA: 3:08 - loss: 164.7478 - logits_profile_predictions_loss: 163.7887 - logcount_predictions_loss: 0.1776 72/684 [==>...........................] - ETA: 3:08 - loss: 164.7462 - logits_profile_predictions_loss: 163.7871 - logcount_predictions_loss: 0.1776 73/684 [==>...........................] - ETA: 3:07 - loss: 164.7434 - logits_profile_predictions_loss: 163.7843 - logcount_predictions_loss: 0.1776 74/684 [==>...........................] - ETA: 3:07 - loss: 164.7441 - logits_profile_predictions_loss: 163.7849 - logcount_predictions_loss: 0.1776 75/684 [==>...........................] - ETA: 3:07 - loss: 164.7433 - logits_profile_predictions_loss: 163.7840 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[>.............................] - ETA: 3:15 - loss: 162.8016 - logits_profile_predictions_loss: 161.9680 - logcount_predictions_loss: 0.1544 43/684 [>.............................] - ETA: 3:14 - loss: 162.8204 - logits_profile_predictions_loss: 161.9853 - logcount_predictions_loss: 0.1547 44/684 [>.............................] - ETA: 3:14 - loss: 162.8337 - logits_profile_predictions_loss: 161.9973 - logcount_predictions_loss: 0.1549 45/684 [>.............................] - ETA: 3:14 - loss: 162.8512 - logits_profile_predictions_loss: 162.0136 - logcount_predictions_loss: 0.1551 46/684 [=>............................] - ETA: 3:14 - loss: 162.8621 - logits_profile_predictions_loss: 162.0234 - logcount_predictions_loss: 0.1553 47/684 [=>............................] - ETA: 3:13 - loss: 162.8751 - logits_profile_predictions_loss: 162.0354 - logcount_predictions_loss: 0.1555 48/684 [=>............................] - ETA: 3:13 - loss: 162.8929 - logits_profile_predictions_loss: 162.0523 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[=>............................] - ETA: 3:14 - loss: 160.0252 - logits_profile_predictions_loss: 159.1317 - logcount_predictions_loss: 0.1655 53/684 [=>............................] - ETA: 3:14 - loss: 160.0405 - logits_profile_predictions_loss: 159.1463 - logcount_predictions_loss: 0.1656 54/684 [=>............................] - ETA: 3:13 - loss: 160.0528 - logits_profile_predictions_loss: 159.1579 - logcount_predictions_loss: 0.1657 55/684 [=>............................] - ETA: 3:13 - loss: 160.0661 - logits_profile_predictions_loss: 159.1704 - logcount_predictions_loss: 0.1659 56/684 [=>............................] - ETA: 3:13 - loss: 160.0791 - logits_profile_predictions_loss: 159.1828 - logcount_predictions_loss: 0.1660 57/684 [=>............................] - ETA: 3:12 - loss: 160.0940 - logits_profile_predictions_loss: 159.1972 - logcount_predictions_loss: 0.1661 58/684 [=>............................] - ETA: 3:12 - loss: 160.1071 - logits_profile_predictions_loss: 159.2099 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logits_profile_predictions_loss: 159.2887 - logcount_predictions_loss: 0.1666 66/684 [=>............................] - ETA: 3:10 - loss: 160.2005 - logits_profile_predictions_loss: 159.3010 - logcount_predictions_loss: 0.1666 67/684 [=>............................] - ETA: 3:09 - loss: 160.2129 - logits_profile_predictions_loss: 159.3133 - logcount_predictions_loss: 0.1666 68/684 [=>............................] - ETA: 3:09 - loss: 160.2246 - logits_profile_predictions_loss: 159.3250 - logcount_predictions_loss: 0.1666 69/684 [==>...........................] - ETA: 3:09 - loss: 160.2356 - logits_profile_predictions_loss: 159.3360 - logcount_predictions_loss: 0.1666 70/684 [==>...........................] - ETA: 3:08 - loss: 160.2497 - logits_profile_predictions_loss: 159.3500 - logcount_predictions_loss: 0.1666 71/684 [==>...........................] - ETA: 3:08 - loss: 160.2632 - logits_profile_predictions_loss: 159.3636 - logcount_predictions_loss: 0.1666 72/684 [==>...........................] - ETA: 3:08 - loss: 160.2759 - logits_profile_predictions_loss: 159.3763 - logcount_predictions_loss: 0.1666 73/684 [==>...........................] - ETA: 3:07 - loss: 160.2883 - logits_profile_predictions_loss: 159.3888 - logcount_predictions_loss: 0.1666 74/684 [==>...........................] - ETA: 3:07 - loss: 160.3025 - logits_profile_predictions_loss: 159.4029 - logcount_predictions_loss: 0.1666 75/684 [==>...........................] - ETA: 3:07 - loss: 160.3161 - logits_profile_predictions_loss: 159.4165 - logcount_predictions_loss: 0.1666 76/684 [==>...........................] - ETA: 3:07 - loss: 160.3293 - logits_profile_predictions_loss: 159.4298 - logcount_predictions_loss: 0.1666 77/684 [==>...........................] - ETA: 3:06 - loss: 160.3407 - logits_profile_predictions_loss: 159.4411 - logcount_predictions_loss: 0.1666 78/684 [==>...........................] - ETA: 3:06 - loss: 160.3485 - logits_profile_predictions_loss: 159.4490 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logits_profile_predictions_loss: 159.5035 - logcount_predictions_loss: 0.1665 86/684 [==>...........................] - ETA: 3:03 - loss: 160.4094 - logits_profile_predictions_loss: 159.5102 - logcount_predictions_loss: 0.1665 87/684 [==>...........................] - ETA: 3:03 - loss: 160.4138 - logits_profile_predictions_loss: 159.5147 - logcount_predictions_loss: 0.1665 88/684 [==>...........................] - ETA: 3:03 - loss: 160.4204 - logits_profile_predictions_loss: 159.5213 - logcount_predictions_loss: 0.1665 89/684 [==>...........................] - ETA: 3:03 - loss: 160.4266 - logits_profile_predictions_loss: 159.5275 - logcount_predictions_loss: 0.1665 90/684 [==>...........................] - ETA: 3:02 - loss: 160.4323 - logits_profile_predictions_loss: 159.5332 - logcount_predictions_loss: 0.1665 91/684 [==>...........................] - ETA: 3:02 - loss: 160.4379 - logits_profile_predictions_loss: 159.5387 - logcount_predictions_loss: 0.1665 92/684 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logcount_predictions_loss: 0.1661 682/684 [============================>.] - ETA: 0s - loss: 161.6447 - logits_profile_predictions_loss: 160.7476 - logcount_predictions_loss: 0.1661 683/684 [============================>.] - ETA: 0s - loss: 161.6451 - logits_profile_predictions_loss: 160.7480 - logcount_predictions_loss: 0.1661 684/684 [==============================] - ETA: 0s - loss: 161.6455 - logits_profile_predictions_loss: 160.7484 - logcount_predictions_loss: 0.1661 684/684 [==============================] - 221s 323ms/step - loss: 161.6459 - logits_profile_predictions_loss: 160.7488 - logcount_predictions_loss: 0.1661 - val_loss: 179.3968 - val_logits_profile_predictions_loss: 178.4957 - val_logcount_predictions_loss: 0.1669 + +Epoch 00008: val_loss did not improve from 179.07896 +Epoch 9/50 + 1/684 [..............................] - ETA: 3:36 - loss: 159.5884 - logits_profile_predictions_loss: 158.8594 - logcount_predictions_loss: 0.1350 2/684 [..............................] - ETA: 3:28 - loss: 157.7255 - logits_profile_predictions_loss: 156.9643 - logcount_predictions_loss: 0.1410 3/684 [..............................] - ETA: 3:28 - loss: 156.3153 - logits_profile_predictions_loss: 155.5435 - logcount_predictions_loss: 0.1429 4/684 [..............................] - ETA: 3:28 - loss: 155.8945 - logits_profile_predictions_loss: 155.0905 - logcount_predictions_loss: 0.1489 5/684 [..............................] - ETA: 3:28 - loss: 155.5513 - logits_profile_predictions_loss: 154.7305 - logcount_predictions_loss: 0.1520 6/684 [..............................] - ETA: 3:27 - loss: 155.6073 - logits_profile_predictions_loss: 154.7787 - logcount_predictions_loss: 0.1535 7/684 [..............................] - ETA: 3:27 - loss: 155.6669 - logits_profile_predictions_loss: 154.8302 - logcount_predictions_loss: 0.1549 8/684 [..............................] - ETA: 3:27 - loss: 155.9783 - logits_profile_predictions_loss: 155.1312 - logcount_predictions_loss: 0.1569 9/684 [..............................] - ETA: 3:27 - loss: 156.2634 - logits_profile_predictions_loss: 155.4075 - logcount_predictions_loss: 0.1585 10/684 [..............................] - ETA: 3:26 - loss: 156.4900 - logits_profile_predictions_loss: 155.6286 - logcount_predictions_loss: 0.1595 11/684 [..............................] - ETA: 3:26 - loss: 156.6723 - logits_profile_predictions_loss: 155.8044 - logcount_predictions_loss: 0.1607 12/684 [..............................] - ETA: 3:26 - loss: 156.8591 - logits_profile_predictions_loss: 155.9877 - logcount_predictions_loss: 0.1614 13/684 [..............................] - ETA: 3:25 - loss: 157.0136 - logits_profile_predictions_loss: 156.1394 - logcount_predictions_loss: 0.1619 14/684 [..............................] - ETA: 3:25 - loss: 157.1778 - logits_profile_predictions_loss: 156.3028 - logcount_predictions_loss: 0.1620 15/684 [..............................] - ETA: 3:25 - loss: 157.3301 - logits_profile_predictions_loss: 156.4547 - logcount_predictions_loss: 0.1621 16/684 [..............................] - ETA: 3:24 - loss: 157.5117 - logits_profile_predictions_loss: 156.6363 - logcount_predictions_loss: 0.1621 17/684 [..............................] - ETA: 3:24 - loss: 157.6977 - logits_profile_predictions_loss: 156.8218 - logcount_predictions_loss: 0.1622 18/684 [..............................] - ETA: 3:24 - loss: 157.8017 - logits_profile_predictions_loss: 156.9261 - logcount_predictions_loss: 0.1621 19/684 [..............................] - ETA: 3:23 - loss: 157.9111 - logits_profile_predictions_loss: 157.0359 - logcount_predictions_loss: 0.1621 20/684 [..............................] - ETA: 3:23 - loss: 158.0332 - logits_profile_predictions_loss: 157.1583 - logcount_predictions_loss: 0.1620 21/684 [..............................] - ETA: 3:23 - loss: 158.1384 - logits_profile_predictions_loss: 157.2642 - logcount_predictions_loss: 0.1619 22/684 [..............................] - ETA: 3:23 - loss: 158.2366 - logits_profile_predictions_loss: 157.3634 - logcount_predictions_loss: 0.1617 23/684 [>.............................] - ETA: 3:22 - loss: 158.3396 - logits_profile_predictions_loss: 157.4668 - logcount_predictions_loss: 0.1616 24/684 [>.............................] - ETA: 3:22 - loss: 158.4415 - logits_profile_predictions_loss: 157.5691 - logcount_predictions_loss: 0.1616 25/684 [>.............................] - ETA: 3:22 - loss: 158.5393 - logits_profile_predictions_loss: 157.6674 - logcount_predictions_loss: 0.1615 26/684 [>.............................] - ETA: 3:21 - loss: 158.6207 - logits_profile_predictions_loss: 157.7493 - logcount_predictions_loss: 0.1614 27/684 [>.............................] - ETA: 3:21 - loss: 158.6759 - logits_profile_predictions_loss: 157.8048 - logcount_predictions_loss: 0.1613 28/684 [>.............................] - ETA: 3:21 - loss: 158.7277 - logits_profile_predictions_loss: 157.8571 - logcount_predictions_loss: 0.1612 29/684 [>.............................] - ETA: 3:21 - loss: 158.7656 - logits_profile_predictions_loss: 157.8954 - logcount_predictions_loss: 0.1612 30/684 [>.............................] - ETA: 3:20 - loss: 158.7880 - logits_profile_predictions_loss: 157.9179 - logcount_predictions_loss: 0.1611 31/684 [>.............................] - ETA: 3:20 - loss: 158.8106 - logits_profile_predictions_loss: 157.9406 - logcount_predictions_loss: 0.1611 32/684 [>.............................] - ETA: 3:20 - loss: 158.8360 - logits_profile_predictions_loss: 157.9662 - logcount_predictions_loss: 0.1611 33/684 [>.............................] - ETA: 3:19 - loss: 158.8582 - logits_profile_predictions_loss: 157.9881 - logcount_predictions_loss: 0.1611 34/684 [>.............................] - ETA: 3:19 - loss: 158.8723 - logits_profile_predictions_loss: 158.0020 - logcount_predictions_loss: 0.1612 35/684 [>.............................] - ETA: 3:19 - loss: 158.8880 - logits_profile_predictions_loss: 158.0175 - logcount_predictions_loss: 0.1612 36/684 [>.............................] - ETA: 3:18 - loss: 158.9103 - logits_profile_predictions_loss: 158.0397 - logcount_predictions_loss: 0.1612 37/684 [>.............................] - ETA: 3:18 - loss: 158.9263 - logits_profile_predictions_loss: 158.0555 - logcount_predictions_loss: 0.1613 38/684 [>.............................] - ETA: 3:18 - loss: 158.9342 - logits_profile_predictions_loss: 158.0634 - logcount_predictions_loss: 0.1613 39/684 [>.............................] - ETA: 3:18 - loss: 158.9443 - logits_profile_predictions_loss: 158.0737 - logcount_predictions_loss: 0.1612 40/684 [>.............................] - ETA: 3:17 - loss: 158.9528 - logits_profile_predictions_loss: 158.0825 - logcount_predictions_loss: 0.1612 41/684 [>.............................] - ETA: 3:17 - loss: 158.9636 - logits_profile_predictions_loss: 158.0933 - logcount_predictions_loss: 0.1612 42/684 [>.............................] - ETA: 3:17 - loss: 158.9745 - logits_profile_predictions_loss: 158.1042 - logcount_predictions_loss: 0.1612 43/684 [>.............................] - ETA: 3:16 - loss: 158.9884 - logits_profile_predictions_loss: 158.1182 - logcount_predictions_loss: 0.1612 44/684 [>.............................] - ETA: 3:16 - loss: 158.9943 - logits_profile_predictions_loss: 158.1241 - logcount_predictions_loss: 0.1611 45/684 [>.............................] - ETA: 3:16 - loss: 158.9962 - logits_profile_predictions_loss: 158.1261 - logcount_predictions_loss: 0.1611 46/684 [=>............................] - ETA: 3:15 - loss: 158.9967 - logits_profile_predictions_loss: 158.1268 - logcount_predictions_loss: 0.1611 47/684 [=>............................] - ETA: 3:15 - loss: 159.0031 - logits_profile_predictions_loss: 158.1331 - logcount_predictions_loss: 0.1611 48/684 [=>............................] - ETA: 3:15 - loss: 159.0061 - logits_profile_predictions_loss: 158.1361 - logcount_predictions_loss: 0.1611 49/684 [=>............................] - ETA: 3:15 - loss: 159.0052 - logits_profile_predictions_loss: 158.1353 - logcount_predictions_loss: 0.1611 50/684 [=>............................] - ETA: 3:14 - loss: 158.9980 - logits_profile_predictions_loss: 158.1281 - logcount_predictions_loss: 0.1611 51/684 [=>............................] - ETA: 3:14 - loss: 158.9853 - logits_profile_predictions_loss: 158.1156 - logcount_predictions_loss: 0.1611 52/684 [=>............................] - ETA: 3:14 - loss: 158.9787 - logits_profile_predictions_loss: 158.1092 - logcount_predictions_loss: 0.1610 53/684 [=>............................] - ETA: 3:13 - loss: 158.9793 - logits_profile_predictions_loss: 158.1098 - logcount_predictions_loss: 0.1610 54/684 [=>............................] - ETA: 3:13 - loss: 158.9827 - logits_profile_predictions_loss: 158.1134 - logcount_predictions_loss: 0.1610 55/684 [=>............................] - ETA: 3:13 - loss: 158.9857 - logits_profile_predictions_loss: 158.1165 - logcount_predictions_loss: 0.1610 56/684 [=>............................] - ETA: 3:12 - loss: 158.9924 - logits_profile_predictions_loss: 158.1232 - logcount_predictions_loss: 0.1610 57/684 [=>............................] - ETA: 3:12 - loss: 159.0022 - logits_profile_predictions_loss: 158.1330 - logcount_predictions_loss: 0.1610 58/684 [=>............................] - ETA: 3:12 - loss: 159.0121 - logits_profile_predictions_loss: 158.1429 - logcount_predictions_loss: 0.1610 59/684 [=>............................] - ETA: 3:12 - loss: 159.0217 - logits_profile_predictions_loss: 158.1524 - logcount_predictions_loss: 0.1610 60/684 [=>............................] - ETA: 3:11 - loss: 159.0312 - logits_profile_predictions_loss: 158.1620 - logcount_predictions_loss: 0.1610 61/684 [=>............................] - ETA: 3:11 - loss: 159.0399 - logits_profile_predictions_loss: 158.1708 - logcount_predictions_loss: 0.1609 62/684 [=>............................] - ETA: 3:11 - loss: 159.0529 - logits_profile_predictions_loss: 158.1838 - logcount_predictions_loss: 0.1609 63/684 [=>............................] - ETA: 3:10 - loss: 159.0634 - logits_profile_predictions_loss: 158.1945 - logcount_predictions_loss: 0.1609 64/684 [=>............................] - ETA: 3:10 - loss: 159.0763 - logits_profile_predictions_loss: 158.2075 - logcount_predictions_loss: 0.1609 65/684 [=>............................] - ETA: 3:10 - loss: 159.0886 - logits_profile_predictions_loss: 158.2199 - logcount_predictions_loss: 0.1609 66/684 [=>............................] - ETA: 3:09 - loss: 159.0995 - logits_profile_predictions_loss: 158.2310 - logcount_predictions_loss: 0.1608 67/684 [=>............................] - ETA: 3:09 - loss: 159.1125 - logits_profile_predictions_loss: 158.2442 - logcount_predictions_loss: 0.1608 68/684 [=>............................] - ETA: 3:09 - loss: 159.1252 - logits_profile_predictions_loss: 158.2570 - logcount_predictions_loss: 0.1608 69/684 [==>...........................] - ETA: 3:08 - loss: 159.1394 - logits_profile_predictions_loss: 158.2713 - logcount_predictions_loss: 0.1608 70/684 [==>...........................] - ETA: 3:08 - loss: 159.1555 - logits_profile_predictions_loss: 158.2876 - logcount_predictions_loss: 0.1607 71/684 [==>...........................] - ETA: 3:08 - loss: 159.1701 - logits_profile_predictions_loss: 158.3023 - logcount_predictions_loss: 0.1607 72/684 [==>...........................] - ETA: 3:08 - loss: 159.1855 - logits_profile_predictions_loss: 158.3180 - logcount_predictions_loss: 0.1607 73/684 [==>...........................] - ETA: 3:07 - loss: 159.2014 - logits_profile_predictions_loss: 158.3341 - logcount_predictions_loss: 0.1606 74/684 [==>...........................] - ETA: 3:07 - loss: 159.2188 - logits_profile_predictions_loss: 158.3518 - logcount_predictions_loss: 0.1606 75/684 [==>...........................] - ETA: 3:07 - loss: 159.2364 - logits_profile_predictions_loss: 158.3696 - logcount_predictions_loss: 0.1605 76/684 [==>...........................] - ETA: 3:06 - loss: 159.2527 - logits_profile_predictions_loss: 158.3862 - logcount_predictions_loss: 0.1605 77/684 [==>...........................] - ETA: 3:06 - loss: 159.2686 - logits_profile_predictions_loss: 158.4024 - logcount_predictions_loss: 0.1604 78/684 [==>...........................] - ETA: 3:06 - loss: 159.2845 - logits_profile_predictions_loss: 158.4185 - logcount_predictions_loss: 0.1604 79/684 [==>...........................] - ETA: 3:05 - loss: 159.2995 - logits_profile_predictions_loss: 158.4339 - logcount_predictions_loss: 0.1603 80/684 [==>...........................] - ETA: 3:05 - loss: 159.3129 - logits_profile_predictions_loss: 158.4475 - logcount_predictions_loss: 0.1603 81/684 [==>...........................] - ETA: 3:05 - loss: 159.3256 - logits_profile_predictions_loss: 158.4605 - logcount_predictions_loss: 0.1602 82/684 [==>...........................] - ETA: 3:04 - loss: 159.3383 - logits_profile_predictions_loss: 158.4735 - logcount_predictions_loss: 0.1602 83/684 [==>...........................] - ETA: 3:04 - loss: 159.3510 - logits_profile_predictions_loss: 158.4865 - logcount_predictions_loss: 0.1601 84/684 [==>...........................] - ETA: 3:04 - loss: 159.3640 - logits_profile_predictions_loss: 158.4998 - logcount_predictions_loss: 0.1600 85/684 [==>...........................] - ETA: 3:04 - loss: 159.3779 - logits_profile_predictions_loss: 158.5141 - logcount_predictions_loss: 0.1600 86/684 [==>...........................] - ETA: 3:03 - loss: 159.3911 - logits_profile_predictions_loss: 158.5276 - logcount_predictions_loss: 0.1599 87/684 [==>...........................] - ETA: 3:03 - loss: 159.4029 - logits_profile_predictions_loss: 158.5398 - logcount_predictions_loss: 0.1598 88/684 [==>...........................] - ETA: 3:03 - loss: 159.4147 - logits_profile_predictions_loss: 158.5519 - logcount_predictions_loss: 0.1598 89/684 [==>...........................] - ETA: 3:02 - loss: 159.4250 - logits_profile_predictions_loss: 158.5625 - logcount_predictions_loss: 0.1597 90/684 [==>...........................] - ETA: 3:02 - loss: 159.4351 - logits_profile_predictions_loss: 158.5730 - logcount_predictions_loss: 0.1597 91/684 [==>...........................] - ETA: 3:02 - loss: 159.4449 - logits_profile_predictions_loss: 158.5832 - logcount_predictions_loss: 0.1596 92/684 [===>..........................] - ETA: 3:01 - loss: 159.4541 - logits_profile_predictions_loss: 158.5928 - logcount_predictions_loss: 0.1595 93/684 [===>..........................] - ETA: 3:01 - loss: 159.4639 - logits_profile_predictions_loss: 158.6029 - logcount_predictions_loss: 0.1594 94/684 [===>..........................] - ETA: 3:01 - loss: 159.4723 - logits_profile_predictions_loss: 158.6117 - logcount_predictions_loss: 0.1594 95/684 [===>..........................] - ETA: 3:01 - loss: 159.4797 - logits_profile_predictions_loss: 158.6195 - logcount_predictions_loss: 0.1593 96/684 [===>..........................] - ETA: 3:00 - loss: 159.4869 - logits_profile_predictions_loss: 158.6271 - logcount_predictions_loss: 0.1592 97/684 [===>..........................] - ETA: 3:00 - loss: 159.4955 - logits_profile_predictions_loss: 158.6361 - logcount_predictions_loss: 0.1591 98/684 [===>..........................] - ETA: 3:00 - loss: 159.5037 - logits_profile_predictions_loss: 158.6447 - logcount_predictions_loss: 0.1591 99/684 [===>..........................] - ETA: 2:59 - loss: 159.5133 - logits_profile_predictions_loss: 158.6546 - logcount_predictions_loss: 0.1590 100/684 [===>..........................] - ETA: 2:59 - loss: 159.5223 - logits_profile_predictions_loss: 158.6640 - logcount_predictions_loss: 0.1589 101/684 [===>..........................] - ETA: 2:59 - loss: 159.5310 - logits_profile_predictions_loss: 158.6731 - logcount_predictions_loss: 0.1589 102/684 [===>..........................] - ETA: 2:58 - loss: 159.5392 - logits_profile_predictions_loss: 158.6816 - logcount_predictions_loss: 0.1588 103/684 [===>..........................] - ETA: 2:58 - loss: 159.5479 - logits_profile_predictions_loss: 158.6907 - logcount_predictions_loss: 0.1587 104/684 [===>..........................] - ETA: 2:58 - loss: 159.5564 - logits_profile_predictions_loss: 158.6996 - logcount_predictions_loss: 0.1587 105/684 [===>..........................] - ETA: 2:57 - loss: 159.5651 - logits_profile_predictions_loss: 158.7087 - logcount_predictions_loss: 0.1586 106/684 [===>..........................] - ETA: 2:57 - loss: 159.5761 - logits_profile_predictions_loss: 158.7201 - logcount_predictions_loss: 0.1585 107/684 [===>..........................] - ETA: 2:57 - loss: 159.5885 - logits_profile_predictions_loss: 158.7329 - logcount_predictions_loss: 0.1585 108/684 [===>..........................] - ETA: 2:57 - loss: 159.6010 - logits_profile_predictions_loss: 158.7457 - logcount_predictions_loss: 0.1584 109/684 [===>..........................] - ETA: 2:56 - loss: 159.6129 - logits_profile_predictions_loss: 158.7580 - logcount_predictions_loss: 0.1583 110/684 [===>..........................] - ETA: 2:56 - loss: 159.6250 - logits_profile_predictions_loss: 158.7704 - logcount_predictions_loss: 0.1583 111/684 [===>..........................] - ETA: 2:56 - loss: 159.6362 - logits_profile_predictions_loss: 158.7820 - logcount_predictions_loss: 0.1582 112/684 [===>..........................] - ETA: 2:55 - loss: 159.6471 - logits_profile_predictions_loss: 158.7932 - logcount_predictions_loss: 0.1581 113/684 [===>..........................] - ETA: 2:55 - loss: 159.6575 - logits_profile_predictions_loss: 158.8040 - logcount_predictions_loss: 0.1581 114/684 [====>.........................] - ETA: 2:55 - loss: 159.6677 - logits_profile_predictions_loss: 158.8145 - logcount_predictions_loss: 0.1580 115/684 [====>.........................] - ETA: 2:54 - loss: 159.6780 - logits_profile_predictions_loss: 158.8251 - logcount_predictions_loss: 0.1579 116/684 [====>.........................] - ETA: 2:54 - loss: 159.6885 - logits_profile_predictions_loss: 158.8360 - logcount_predictions_loss: 0.1579 117/684 [====>.........................] - ETA: 2:54 - loss: 159.6978 - logits_profile_predictions_loss: 158.8456 - logcount_predictions_loss: 0.1578 118/684 [====>.........................] - ETA: 2:53 - loss: 159.7069 - logits_profile_predictions_loss: 158.8550 - logcount_predictions_loss: 0.1578 119/684 [====>.........................] - ETA: 2:53 - loss: 159.7160 - logits_profile_predictions_loss: 158.8645 - logcount_predictions_loss: 0.1577 120/684 [====>.........................] - ETA: 2:53 - loss: 159.7257 - logits_profile_predictions_loss: 158.8745 - logcount_predictions_loss: 0.1576 121/684 [====>.........................] - ETA: 2:53 - loss: 159.7359 - logits_profile_predictions_loss: 158.8850 - logcount_predictions_loss: 0.1576 122/684 [====>.........................] - ETA: 2:52 - loss: 159.7463 - logits_profile_predictions_loss: 158.8958 - logcount_predictions_loss: 0.1575 123/684 [====>.........................] - ETA: 2:52 - loss: 159.7559 - logits_profile_predictions_loss: 158.9057 - logcount_predictions_loss: 0.1575 124/684 [====>.........................] - ETA: 2:52 - loss: 159.7649 - logits_profile_predictions_loss: 158.9150 - logcount_predictions_loss: 0.1574 125/684 [====>.........................] - ETA: 2:51 - loss: 159.7739 - logits_profile_predictions_loss: 158.9242 - logcount_predictions_loss: 0.1573 126/684 [====>.........................] - ETA: 2:51 - loss: 159.7822 - logits_profile_predictions_loss: 158.9329 - logcount_predictions_loss: 0.1573 127/684 [====>.........................] - ETA: 2:51 - loss: 159.7910 - logits_profile_predictions_loss: 158.9420 - logcount_predictions_loss: 0.1572 128/684 [====>.........................] - ETA: 2:50 - loss: 159.7994 - logits_profile_predictions_loss: 158.9507 - logcount_predictions_loss: 0.1572 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logcount_predictions_loss: 0.1510 616/684 [==========================>...] - ETA: 20s - loss: 159.1545 - logits_profile_predictions_loss: 158.3388 - logcount_predictions_loss: 0.1510 617/684 [==========================>...] - ETA: 20s - loss: 159.1539 - logits_profile_predictions_loss: 158.3383 - logcount_predictions_loss: 0.1510 618/684 [==========================>...] - ETA: 20s - loss: 159.1534 - logits_profile_predictions_loss: 158.3378 - logcount_predictions_loss: 0.1510 619/684 [==========================>...] - ETA: 20s - loss: 159.1529 - logits_profile_predictions_loss: 158.3373 - logcount_predictions_loss: 0.1510 620/684 [==========================>...] - ETA: 19s - loss: 159.1524 - logits_profile_predictions_loss: 158.3369 - logcount_predictions_loss: 0.1510 621/684 [==========================>...] - ETA: 19s - loss: 159.1520 - logits_profile_predictions_loss: 158.3364 - logcount_predictions_loss: 0.1510 622/684 [==========================>...] - ETA: 19s - loss: 159.1515 - logits_profile_predictions_loss: 158.3359 - logcount_predictions_loss: 0.1510 623/684 [==========================>...] - ETA: 18s - loss: 159.1510 - logits_profile_predictions_loss: 158.3354 - logcount_predictions_loss: 0.1510 624/684 [==========================>...] - ETA: 18s - loss: 159.1505 - logits_profile_predictions_loss: 158.3349 - logcount_predictions_loss: 0.1510 625/684 [==========================>...] - ETA: 18s - loss: 159.1500 - logits_profile_predictions_loss: 158.3344 - logcount_predictions_loss: 0.1510 626/684 [==========================>...] - ETA: 17s - loss: 159.1496 - logits_profile_predictions_loss: 158.3340 - logcount_predictions_loss: 0.1510 627/684 [==========================>...] - ETA: 17s - loss: 159.1491 - logits_profile_predictions_loss: 158.3335 - logcount_predictions_loss: 0.1510 628/684 [==========================>...] - ETA: 17s - loss: 159.1486 - logits_profile_predictions_loss: 158.3331 - logcount_predictions_loss: 0.1510 629/684 [==========================>...] - ETA: 16s - loss: 159.1481 - logits_profile_predictions_loss: 158.3326 - logcount_predictions_loss: 0.1510 630/684 [==========================>...] - ETA: 16s - loss: 159.1477 - logits_profile_predictions_loss: 158.3321 - logcount_predictions_loss: 0.1510 631/684 [==========================>...] - ETA: 16s - loss: 159.1472 - logits_profile_predictions_loss: 158.3316 - logcount_predictions_loss: 0.1510 632/684 [==========================>...] - ETA: 16s - loss: 159.1467 - logits_profile_predictions_loss: 158.3312 - logcount_predictions_loss: 0.1510 633/684 [==========================>...] - ETA: 15s - loss: 159.1463 - logits_profile_predictions_loss: 158.3308 - logcount_predictions_loss: 0.1510 634/684 [==========================>...] - ETA: 15s - loss: 159.1458 - logits_profile_predictions_loss: 158.3303 - logcount_predictions_loss: 0.1510 635/684 [==========================>...] - ETA: 15s - loss: 159.1454 - logits_profile_predictions_loss: 158.3299 - logcount_predictions_loss: 0.1510 636/684 [==========================>...] - ETA: 14s - loss: 159.1450 - logits_profile_predictions_loss: 158.3294 - logcount_predictions_loss: 0.1510 637/684 [==========================>...] - ETA: 14s - loss: 159.1445 - logits_profile_predictions_loss: 158.3290 - logcount_predictions_loss: 0.1510 638/684 [==========================>...] - ETA: 14s - loss: 159.1441 - logits_profile_predictions_loss: 158.3286 - logcount_predictions_loss: 0.1510 639/684 [===========================>..] - ETA: 13s - loss: 159.1436 - logits_profile_predictions_loss: 158.3281 - logcount_predictions_loss: 0.1510 640/684 [===========================>..] - ETA: 13s - loss: 159.1432 - logits_profile_predictions_loss: 158.3277 - logcount_predictions_loss: 0.1510 641/684 [===========================>..] - ETA: 13s - loss: 159.1427 - logits_profile_predictions_loss: 158.3272 - logcount_predictions_loss: 0.1510 642/684 [===========================>..] - ETA: 12s - loss: 159.1423 - logits_profile_predictions_loss: 158.3268 - logcount_predictions_loss: 0.1510 643/684 [===========================>..] - ETA: 12s - loss: 159.1418 - logits_profile_predictions_loss: 158.3263 - logcount_predictions_loss: 0.1510 644/684 [===========================>..] - ETA: 12s - loss: 159.1414 - logits_profile_predictions_loss: 158.3259 - logcount_predictions_loss: 0.1510 645/684 [===========================>..] - ETA: 12s - loss: 159.1409 - logits_profile_predictions_loss: 158.3254 - logcount_predictions_loss: 0.1510 646/684 [===========================>..] - ETA: 11s - loss: 159.1404 - logits_profile_predictions_loss: 158.3249 - logcount_predictions_loss: 0.1510 647/684 [===========================>..] - ETA: 11s - loss: 159.1399 - logits_profile_predictions_loss: 158.3245 - logcount_predictions_loss: 0.1510 648/684 [===========================>..] - ETA: 11s - loss: 159.1394 - logits_profile_predictions_loss: 158.3240 - logcount_predictions_loss: 0.1510 649/684 [===========================>..] - ETA: 10s - loss: 159.1389 - logits_profile_predictions_loss: 158.3235 - logcount_predictions_loss: 0.1510 650/684 [===========================>..] - ETA: 10s - loss: 159.1384 - logits_profile_predictions_loss: 158.3230 - logcount_predictions_loss: 0.1510 651/684 [===========================>..] - ETA: 10s - loss: 159.1379 - logits_profile_predictions_loss: 158.3225 - logcount_predictions_loss: 0.1510 652/684 [===========================>..] - ETA: 9s - loss: 159.1374 - logits_profile_predictions_loss: 158.3220 - logcount_predictions_loss: 0.1510  653/684 [===========================>..] - ETA: 9s - loss: 159.1369 - logits_profile_predictions_loss: 158.3215 - logcount_predictions_loss: 0.1510 654/684 [===========================>..] - ETA: 9s - loss: 159.1365 - logits_profile_predictions_loss: 158.3211 - logcount_predictions_loss: 0.1510 655/684 [===========================>..] - ETA: 8s - loss: 159.1361 - logits_profile_predictions_loss: 158.3207 - logcount_predictions_loss: 0.1510 656/684 [===========================>..] - ETA: 8s - loss: 159.1357 - logits_profile_predictions_loss: 158.3203 - logcount_predictions_loss: 0.1510 657/684 [===========================>..] - ETA: 8s - loss: 159.1354 - logits_profile_predictions_loss: 158.3199 - logcount_predictions_loss: 0.1510 658/684 [===========================>..] - ETA: 8s - loss: 159.1350 - logits_profile_predictions_loss: 158.3195 - logcount_predictions_loss: 0.1510 659/684 [===========================>..] - ETA: 7s - loss: 159.1346 - logits_profile_predictions_loss: 158.3192 - logcount_predictions_loss: 0.1510 660/684 [===========================>..] - ETA: 7s - loss: 159.1342 - logits_profile_predictions_loss: 158.3187 - logcount_predictions_loss: 0.1510 661/684 [===========================>..] - ETA: 7s - loss: 159.1338 - logits_profile_predictions_loss: 158.3184 - logcount_predictions_loss: 0.1510 662/684 [============================>.] - ETA: 6s - loss: 159.1334 - logits_profile_predictions_loss: 158.3180 - logcount_predictions_loss: 0.1510 663/684 [============================>.] - ETA: 6s - loss: 159.1330 - logits_profile_predictions_loss: 158.3176 - logcount_predictions_loss: 0.1510 664/684 [============================>.] - ETA: 6s - loss: 159.1326 - logits_profile_predictions_loss: 158.3172 - logcount_predictions_loss: 0.1510 665/684 [============================>.] - ETA: 5s - loss: 159.1323 - logits_profile_predictions_loss: 158.3169 - logcount_predictions_loss: 0.1510 666/684 [============================>.] - ETA: 5s - loss: 159.1319 - logits_profile_predictions_loss: 158.3165 - logcount_predictions_loss: 0.1510 667/684 [============================>.] - ETA: 5s - loss: 159.1315 - logits_profile_predictions_loss: 158.3161 - logcount_predictions_loss: 0.1510 668/684 [============================>.] - ETA: 4s - loss: 159.1310 - logits_profile_predictions_loss: 158.3156 - logcount_predictions_loss: 0.1510 669/684 [============================>.] - ETA: 4s - loss: 159.1306 - logits_profile_predictions_loss: 158.3152 - logcount_predictions_loss: 0.1510 670/684 [============================>.] - ETA: 4s - loss: 159.1302 - logits_profile_predictions_loss: 158.3148 - logcount_predictions_loss: 0.1510 671/684 [============================>.] - ETA: 4s - loss: 159.1298 - logits_profile_predictions_loss: 158.3144 - logcount_predictions_loss: 0.1510 672/684 [============================>.] - ETA: 3s - loss: 159.1294 - logits_profile_predictions_loss: 158.3140 - logcount_predictions_loss: 0.1510 673/684 [============================>.] - ETA: 3s - loss: 159.1290 - logits_profile_predictions_loss: 158.3136 - logcount_predictions_loss: 0.1510 674/684 [============================>.] - ETA: 3s - loss: 159.1285 - logits_profile_predictions_loss: 158.3132 - logcount_predictions_loss: 0.1510 675/684 [============================>.] - ETA: 2s - loss: 159.1281 - logits_profile_predictions_loss: 158.3128 - logcount_predictions_loss: 0.1510 676/684 [============================>.] - ETA: 2s - loss: 159.1277 - logits_profile_predictions_loss: 158.3124 - logcount_predictions_loss: 0.1510 677/684 [============================>.] - ETA: 2s - loss: 159.1273 - logits_profile_predictions_loss: 158.3119 - logcount_predictions_loss: 0.1510 678/684 [============================>.] - ETA: 1s - loss: 159.1269 - logits_profile_predictions_loss: 158.3115 - logcount_predictions_loss: 0.1510 679/684 [============================>.] - ETA: 1s - loss: 159.1265 - logits_profile_predictions_loss: 158.3111 - logcount_predictions_loss: 0.1510 680/684 [============================>.] - ETA: 1s - loss: 159.1260 - logits_profile_predictions_loss: 158.3107 - logcount_predictions_loss: 0.1510 681/684 [============================>.] - ETA: 0s - loss: 159.1256 - logits_profile_predictions_loss: 158.3103 - logcount_predictions_loss: 0.1510 682/684 [============================>.] - ETA: 0s - loss: 159.1252 - logits_profile_predictions_loss: 158.3099 - logcount_predictions_loss: 0.1510 683/684 [============================>.] - ETA: 0s - loss: 159.1248 - logits_profile_predictions_loss: 158.3095 - logcount_predictions_loss: 0.1510 684/684 [==============================] - ETA: 0s - loss: 159.1244 - logits_profile_predictions_loss: 158.3091 - logcount_predictions_loss: 0.1510 684/684 [==============================] - 221s 323ms/step - loss: 159.1240 - logits_profile_predictions_loss: 158.3087 - logcount_predictions_loss: 0.1510 - val_loss: 180.4783 - val_logits_profile_predictions_loss: 179.6669 - val_logcount_predictions_loss: 0.1503 + +Epoch 00010: val_loss did not improve from 179.07896 +Restoring model weights from the end of the best epoch. +Epoch 00010: early stopping +save model +save model without bias +2022-09-22_23-42-24: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(11453, 10) +loading nonpeaks... +got split:test for bed regions:(11340, 10) +0/90 +2022-09-22_23-44-55: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(11453, 10) +loading nonpeaks... +got split:test for bed regions:(11340, 10) +0/90 +2022-09-22_23-46-56: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_1//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(11453, 10) +loading nonpeaks... +got split:test for bed regions:(11340, 10) +0/90 +2022-09-22_23-48-05: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_23-48-05: 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/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 2:44 3/11 [=======>......................] - ETA: 3s  4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 4s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 44s 3s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 8s 3/11 [=======>......................] - ETA: 7s 4/11 [=========>....................] - ETA: 6s 5/11 [============>.................] - ETA: 5s 6/11 [===============>..............] - ETA: 4s 7/11 [==================>...........] - ETA: 3s 8/11 [====================>.........] - ETA: 2s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 10s 1s/step +Saving marginal footprints +2022-09-22_23-50-30: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//footprints +2022-09-22_23-50-30: 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/ENCSR609GST//chrombpnet_model_feb15_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_1//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:57 3/11 [=======>......................] - ETA: 0s  4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 22s 1s/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 91ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 91ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 90ms/step +Saving marginal footprints diff --git a/fold_1/model.bias_scaled.fold_1.ENCSR609GST.h5 b/fold_1/model.bias_scaled.fold_1.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..3ac11ccdc2c369368c4d480ff64146b4d6eb6458 --- /dev/null +++ b/fold_1/model.bias_scaled.fold_1.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eaab3afa64869243a2d7ba77e4cb92c6209974bb613db91641be1ea1ea0a52f5 +size 2688440 diff --git a/fold_1/model.bias_scaled.fold_1.ENCSR609GST.tar b/fold_1/model.bias_scaled.fold_1.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..b4b4f862a478c0d6f78234de7b0ec2efb183f66b --- /dev/null +++ b/fold_1/model.bias_scaled.fold_1.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c3569cc7672dd89f936dce1c972b44733afe47f095c4500769057314ceeb6f12 +size 1198080 diff --git a/fold_1/model.chrombpnet.fold_1.ENCSR609GST.h5 b/fold_1/model.chrombpnet.fold_1.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..c46f8054613ec1580870f99fa677884c90155a3e --- /dev/null +++ b/fold_1/model.chrombpnet.fold_1.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cba80db54a95f60aced9fed02e49500edbfbcfe920de8011a60e70b980745db3 +size 26447928 diff --git a/fold_1/model.chrombpnet.fold_1.ENCSR609GST.tar b/fold_1/model.chrombpnet.fold_1.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..7416a311b1c97b18a0f6a3ab3c14e9226235f553 --- /dev/null +++ b/fold_1/model.chrombpnet.fold_1.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c97b7045bfb562be4b72a8303c007bc13e88fbaaba8814bfda746a2e4d2fbfc +size 27607040 diff --git a/fold_1/model.chrombpnet_nobias.fold_1.ENCSR609GST.h5 b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..8cad530eb3268af8a5ac698b90b35ba9439a9c7a --- /dev/null +++ b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d71d58812a464a2d16309dfcca9b4523b3c6933f588dd2fa8b0843eaed7d55c8 +size 25583536 diff --git a/fold_1/model.chrombpnet_nobias.fold_1.ENCSR609GST.tar b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..a180da295f3a870e84f56b8578e9d59cfa6a4d8f --- /dev/null +++ b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:db517f6cb4e574b5ac6970f4ad98450ad9269d3aaf80c8d8c7b7183d2bebe79f +size 26081280 diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.args.json b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.args.json new file mode 100644 index 0000000000000000000000000000000000000000..a08196855c8c37745bf89debf9c8618b28818f0c --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.batch_loss.tsv b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..8a9b8ab593ed471896670f458f5dc806650a3377 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.batch_loss.tsv @@ -0,0 +1,9283 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 0.823513925075531 163.832275390625 159.3852996826172 None None None +0 1 201.39295959472656 1254.5098876953125 166.98800659179688 None None None +0 2 134.695556640625 896.4420776367188 169.08616638183594 None None None +0 3 101.20999145507812 709.9200439453125 163.38619995117188 None None None +0 4 81.20732879638672 604.1192626953125 165.59976196289062 None None None +0 5 67.85616302490234 531.2107543945312 164.78761291503906 None None None +0 6 58.287479400634766 478.5653381347656 163.81300354003906 None None None +0 7 51.132938385009766 439.74176025390625 163.6239471435547 None None None +0 8 45.57207489013672 410.1473083496094 164.05816650390625 None None None +0 9 41.13364791870117 386.87408447265625 164.75244140625 None None None +0 10 37.48366165161133 366.48583984375 164.0741424560547 None None None +0 11 34.4417724609375 349.294921875 163.3094024658203 None None None +0 12 31.87535285949707 335.4494934082031 163.32261657714844 None None None +0 13 29.674610137939453 323.955322265625 163.7124481201172 None None None +0 14 27.7845401763916 314.5933532714844 164.556884765625 None None None +0 15 26.11696434020996 306.59454345703125 165.56297302246094 None None None +0 16 24.654056549072266 299.0169372558594 165.8850860595703 None None None +0 17 23.34386444091797 292.5451354980469 166.48829650878906 None None None +0 18 22.198726654052734 287.7058410644531 167.8327178955078 None None 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9.85529899597168 222.2967071533203 169.0780792236328 None None None +0 46 9.667779922485352 221.26853942871094 169.06251525878906 None None None +0 47 9.499981880187988 220.87425231933594 169.57432556152344 None None None +0 48 9.328035354614258 219.78990173339844 169.41848754882812 None None None +0 49 9.168571472167969 219.1712646484375 169.66094970703125 None None None +0 50 9.014429092407227 218.37506103515625 169.69711303710938 None None None +0 51 8.868300437927246 217.76866149902344 169.87982177734375 None None None +0 52 8.722976684570312 217.03976440429688 169.9356689453125 None None None +0 53 8.582893371582031 216.16026306152344 169.8126220703125 None None None +0 54 8.444000244140625 215.19683837890625 169.59921264648438 None None None +0 55 8.311924934387207 214.34634399414062 169.46192932128906 None None None +0 56 8.187450408935547 213.7309112548828 169.51866149902344 None None None +0 57 8.068387031555176 213.19131469726562 169.62200927734375 None None None +0 58 7.951107501983643 212.55787658691406 169.6218719482422 None None None +0 59 7.837234973907471 211.9323272705078 169.61123657226562 None None None +0 60 7.729325294494629 211.3766326904297 169.63824462890625 None None None +0 61 7.620112419128418 210.6292724609375 169.48062133789062 None None None +0 62 7.517985820770264 210.14901733398438 169.55184936523438 None None None +0 63 7.419604778289795 209.60079956054688 169.53489685058594 None None None +0 64 7.322494983673096 208.99559020996094 169.45407104492188 None None None +0 65 7.226254940032959 208.14370727539062 169.12188720703125 None None None +0 66 7.139608383178711 207.8069305419922 169.25302124023438 None None None +0 67 7.050616264343262 207.10842895507812 169.03506469726562 None None None +0 68 6.971590995788574 206.99359130859375 169.3469696044922 None None None +0 69 6.8945136070251465 206.76963806152344 169.5392303466797 None None None +0 70 6.811355113983154 206.33433532714844 169.55296325683594 None None None +0 71 6.734226226806641 206.05503845214844 169.690185546875 None None None +0 72 6.657474040985107 205.6242218017578 169.673828125 None None None +0 73 6.579873561859131 205.03045654296875 169.4990997314453 None None None +0 74 6.506354331970215 204.57183837890625 169.43748474121094 None None None +0 75 6.433830261230469 204.06015014648438 169.3174285888672 None None None +0 76 6.366610050201416 203.7604522705078 169.38070678710938 None None None +0 77 6.300564289093018 203.38607788085938 169.3629913330078 None None None +0 78 6.231451511383057 202.77598571777344 169.1260986328125 None None None +0 79 6.16341495513916 202.1982879638672 168.91580200195312 None None None +0 80 6.1065144538879395 202.19915771484375 169.22393798828125 None None None +0 81 6.047523498535156 201.91958618164062 169.26292419433594 None None None +0 82 5.988086700439453 201.56297302246094 169.2272491455078 None None None +0 83 5.931955814361572 201.31640625 169.2838134765625 None None None +0 84 5.87515115737915 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0.14162078499794006 157.94764709472656 157.18292236328125 None None None +12 710 0.14155878126621246 157.94656372070312 157.1821746826172 None None None +12 711 0.14152954518795013 157.92434692382812 157.16012573242188 None None None +12 712 0.1416049748659134 157.907470703125 157.14285278320312 None None None +12 713 0.1416037678718567 157.92474365234375 157.16012573242188 None None None diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.bias_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..21ee72bc4729bd54cb5d08ee7e30a46730d9b823 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.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 15:11:41.114976: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:43.784413: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:43.787877: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 15:11:44.408507: 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 15:11:44.408594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:44.431754: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:44.431916: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:44.442844: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:44.447978: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:44.466022: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:44.471003: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:44.472096: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:44.499567: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:44.500001: 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 15:11:44.501043: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:44.521014: 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 15:11:44.521068: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:44.521121: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:44.521144: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:44.521165: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:44.521185: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:44.521206: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:44.521225: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:44.521244: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:44.549298: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:44.551360: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:46.576441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 15:11:46.576551: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 15:11:46.576568: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 15:11:46.583363: 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 15:11:47.963377: 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.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.bias_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..c118bc4427c517889cbedf5f7b96b9f6d25d2d1f --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_2/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_2/new_model_formats/bias_model_scaled diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet.params.json b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..d0aa6368c9843692e0cc42408a3a7a9b7a022201 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "5.4", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_data_params.tsv b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..9bcd6f928ed2319cd9e85aaa3aaa0b8eb7e201c2 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 10.0 +counts_sum_max_thresh 279.97 +trainings_pts_post_thresh 49556 diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..d68709d3dee19187cb3b2d22432fdfaff212a1ae --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.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 16:49:18.605889: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:22.297385: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:22.302599: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:49:22.338247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3d:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:22.338352: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:22.370022: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:22.370183: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:22.386550: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:22.394101: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:22.422095: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:22.429376: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:22.431003: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:22.433290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:22.433688: 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 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:49:22.434856: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:22.435272: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3d:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:22.435309: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:22.435346: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:22.435362: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:22.435378: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:22.435394: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:22.435410: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:22.435426: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:22.435442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:22.435920: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:22.437794: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:24.866076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:49:24.866188: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:49:24.866205: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:49:24.870218: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30126 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:3d:00.0, compute capability: 7.0) +2023-07-14 16:49:27.911825: 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.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..f71f5e6b86f92690d7777a8cec6c97f1446e7494 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_2/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_2/new_model_formats/chrombpnet diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_model_params.tsv b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..cedf091ffc7a44e5a1ba4a6b9b81c43ba18d8242 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 5.4 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2852fef8cae8d73e92a0e358d2bea4e21734bd1 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_2/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_2/new_model_formats/chrombpnet_wo_bias diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2852fef8cae8d73e92a0e358d2bea4e21734bd1 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_2/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_2/new_model_formats/chrombpnet_wo_bias diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.epoch_loss.csv b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..d1fa5c11b0de82f706ae66f1690e395f17d55232 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.epoch_loss.csv @@ -0,0 +1,14 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.7284611463546753,167.6186981201172,176.95233154296875,1.2257026433944702,173.6370849609375,180.255859375 +1,0.3229098320007324,165.58441162109375,167.32821655273438,0.2105489820241928,172.65684509277344,173.79380798339844 +2,0.20459872484207153,164.61439514160156,165.7193145751953,0.20922234654426575,171.94613647460938,173.075927734375 +3,0.18981583416461945,164.1527099609375,165.17771911621094,0.17821820080280304,171.46556091308594,172.4279327392578 +4,0.18505722284317017,163.75381469726562,164.75326538085938,0.18132023513317108,171.59298706054688,172.57212829589844 +5,0.17237669229507446,163.18772888183594,164.11862182617188,0.17980633676052094,171.45974731445312,172.43064880371094 +6,0.17265848815441132,162.80685424804688,163.73927307128906,0.16111010313034058,171.4977264404297,172.36773681640625 +7,0.16803067922592163,162.30807495117188,163.2153778076172,0.16106383502483368,171.334228515625,172.20396423339844 +8,0.1612154096364975,161.88934326171875,162.75985717773438,0.18935900926589966,171.59033203125,172.61289978027344 +9,0.1623281091451645,161.43296813964844,162.30955505371094,0.1634361445903778,172.13526916503906,173.01779174804688 +10,0.1647447645664215,160.97848510742188,161.86801147460938,0.15690526366233826,172.34176635742188,173.18902587890625 +11,0.14429858326911926,158.5379180908203,159.31707763671875,0.15400396287441254,173.08206176757812,173.9136505126953 +12,0.1416037678718567,157.16012573242188,157.92474365234375,0.1541503667831421,173.9134521484375,174.74586486816406 diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stderr.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..111c2b1912d5eb76862499d8c9f14e1253b601dc --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stderr.txt @@ -0,0 +1,328 @@ +2022-09-22 22:57:40.837656: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:06.563981: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:06.565036: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 22:59:06.874069: 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 22:59:06.874140: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:06.986377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:06.986462: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:07.031011: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:07.073938: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:07.395156: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:07.419116: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:07.423818: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:07.428162: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:07.428463: 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 22:59:07.428524: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:07.429839: 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 22:59:07.429872: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:07.429887: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:07.429899: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:07.429910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:07.429921: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:07.429933: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:07.429944: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:07.429954: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:07.432506: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:07.433772: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:10.325148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 22:59:10.325274: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 22:59:10.325289: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 22:59:10.330977: 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 22:59:11.335624: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 22:59:11.342262: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794600000 Hz +2022-09-22 22:59:11.479187: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:13.942164: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:13.948554: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:32.188939: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:33.503600: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:33.504377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 22:59:33.688043: 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 22:59:33.688121: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:33.689950: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:33.689999: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:33.690813: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:33.690991: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:33.692846: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:33.693248: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:33.693359: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:33.694960: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:33.695208: 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 22:59:33.695266: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 22:59:33.696066: 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 22:59:33.696108: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:33.696126: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 22:59:33.696141: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 22:59:33.696153: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 22:59:33.696165: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 22:59:33.696176: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 22:59:33.696187: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 22:59:33.696198: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 22:59:33.697755: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 22:59:33.697787: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 22:59:34.278932: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 22:59:34.279057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 22:59:34.279069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 22:59:34.281883: 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 23:00:36.400847: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:00:36.401236: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794600000 Hz +2022-09-22 23:00:37.511598: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:00:37.910093: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:00:37.922440: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:00:40.511957: 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 23:23:50.339451: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:23:52.891858: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:23:52.892769: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:23:53.085927: 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 23:23:53.086004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:23:53.087953: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:23:53.087998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:23:53.088846: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:23:53.089021: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:23:53.090943: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:23:53.091344: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:23:53.091466: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:23:53.093026: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:23:53.093292: 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 23:23:53.093351: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:23:53.094155: 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 23:23:53.094179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:23:53.094196: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:23:53.094210: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:23:53.094223: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:23:53.094235: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:23:53.094248: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:23:53.094262: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:23:53.094274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:23:53.095790: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:23:53.095817: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:23:53.539064: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:23:53.539173: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:23:53.539188: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:23:53.541900: 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 23:24:10.016401: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:24:10.018920: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794600000 Hz +2022-09-22 23:24:10.081687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:24:10.519461: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:24:10.521262: 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 23:24:50.582772: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:24:52.454002: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:24:52.454826: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:24:52.657796: 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 23:24:52.657870: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:24:52.659753: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:24:52.659797: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:24:52.660623: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:24:52.660784: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:24:52.662883: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:24:52.663304: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:24:52.663422: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:24:52.665179: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:24:52.665439: 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 23:24:52.665518: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:24:52.666324: 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 23:24:52.666346: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:24:52.666361: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:24:52.666376: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:24:52.666388: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:24:52.666400: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:24:52.666414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:24:52.666425: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:24:52.666436: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:24:52.667950: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:24:52.667980: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:24:53.109744: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:24:53.109871: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:24:53.109884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:24:53.112570: 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 23:25:06.068902: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:25:06.070684: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794600000 Hz +2022-09-22 23:25:06.112668: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:25:06.557295: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:25:06.558659: 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 23:25:43.691375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:25:45.576754: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:25:45.577641: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:25:45.780115: 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 23:25:45.780188: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:25:45.782054: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:25:45.782098: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:25:45.782904: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:25:45.783068: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:25:45.784910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:25:45.785298: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:25:45.785415: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:25:45.786996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:25:45.787263: 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 23:25:45.787322: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:25:45.788128: 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 23:25:45.788150: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:25:45.788165: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:25:45.788178: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:25:45.788214: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:25:45.788227: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:25:45.788239: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:25:45.788250: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:25:45.788261: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:25:45.789776: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:25:45.789804: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:25:46.224348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:25:46.224463: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:25:46.224475: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:25:46.227397: 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 23:25:59.036949: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:25:59.038243: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794600000 Hz +2022-09-22 23:25:59.065631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:25:59.506345: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:25:59.507686: 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 23:26:19.934803: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:26:20.887503: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:26:20.888249: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:26:21.080525: 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 23:26:21.080614: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:26:21.082472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:26:21.082514: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:26:21.083315: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:26:21.083472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:26:21.085309: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:26:21.085699: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:26:21.085809: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:26:21.087383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:26:21.087649: 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 23:26:21.087707: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:26:21.088508: 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 23:26:21.088532: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:26:21.088547: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:26:21.088560: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:26:21.088572: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:26:21.088583: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:26:21.088594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:26:21.088605: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:26:21.088617: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:26:21.090118: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:26:21.090150: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:26:21.528177: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:26:21.528302: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:26:21.528315: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:26:21.530961: 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 23:26:25.729815: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:26:25.730330: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794600000 Hz +2022-09-22 23:26:25.886369: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:26:26.334745: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:26:26.336259: 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/ENCSR609GST//chrombpnet_model_feb15_fold_2//footprints’: File exists +2022-09-22 23:27:43.010710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:27:43.919424: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:27:43.920179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:27:44.100808: 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 23:27:44.100891: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:27:44.102731: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:27:44.102771: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:27:44.103587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:27:44.103745: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:27:44.105617: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:27:44.106009: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:27:44.106120: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:27:44.107672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:27:44.107938: 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 23:27:44.107995: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:27:44.108791: 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 23:27:44.108834: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:27:44.108860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:27:44.108874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:27:44.108886: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:27:44.108897: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:27:44.108908: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:27:44.108919: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:27:44.108930: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:27:44.110437: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:27:44.110469: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:27:44.571537: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:27:44.571651: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:27:44.571664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:27:44.574528: 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 23:27:48.580601: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:27:48.581092: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794600000 Hz +2022-09-22 23:27:48.690155: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:27:49.141616: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:27:49.143103: 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.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stdout.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bfbc0d188f9bbe71e4248790f07bb3f986d0345 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stdout.txt @@ -0,0 +1,475 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json +Thu Sep 22 22:57:35 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 60W / 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_22-57-36: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 46004 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 46004 +Number of peaks input: 10669 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 10669 +Number of non peaks input: 47375 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 47375 +Number of non peaks input: 9297 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 9297 +Number of peaks after removing outliers: 45497 +Number of nonpeaks after removing outliers: 41604 +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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4ms/step +2022-09-22_22-59-32: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(41486, 10) +loading nonpeaks... +got split:train for bed regions:(37407, 10) +loading peaks... +got split:valid for bed regions:(4011, 10) +loading nonpeaks... +got split:valid for bed regions:(4197, 10) +Epoch 1/50 + 1/714 [..............................] - ETA: 1:08:34 - loss: 163.8323 - logits_profile_predictions_loss: 159.3853 - logcount_predictions_loss: 0.8235 2/714 [..............................] - ETA: 1:40 - loss: 709.1711 - logits_profile_predictions_loss: 163.1867 - logcount_predictions_loss: 101.1082  3/714 [..............................] - ETA: 1:39 - loss: 771.5947 - logits_profile_predictions_loss: 165.1532 - logcount_predictions_loss: 112.3040 4/714 [..............................] - ETA: 1:39 - loss: 756.1761 - logits_profile_predictions_loss: 164.7114 - logcount_predictions_loss: 109.5305 5/714 [..............................] - ETA: 1:38 - loss: 725.7647 - logits_profile_predictions_loss: 164.8891 - logcount_predictions_loss: 103.8659 6/714 [..............................] - ETA: 1:38 - loss: 693.3391 - logits_profile_predictions_loss: 164.8722 - logcount_predictions_loss: 97.8643  7/714 [..............................] - ETA: 1:38 - loss: 662.6571 - logits_profile_predictions_loss: 164.7209 - logcount_predictions_loss: 92.2104 8/714 [..............................] - ETA: 1:38 - loss: 634.7927 - logits_profile_predictions_loss: 164.5837 - logcount_predictions_loss: 87.0757 9/714 [..............................] - ETA: 1:38 - loss: 609.8321 - logits_profile_predictions_loss: 164.5254 - logcount_predictions_loss: 82.4642 10/714 [..............................] - ETA: 1:38 - loss: 587.5363 - logits_profile_predictions_loss: 164.5481 - logcount_predictions_loss: 78.3312 11/714 [..............................] - ETA: 1:37 - loss: 567.4408 - logits_profile_predictions_loss: 164.5050 - logcount_predictions_loss: 74.6178 12/714 [..............................] - ETA: 1:37 - loss: 549.2620 - logits_profile_predictions_loss: 164.4053 - logcount_predictions_loss: 71.2698 13/714 [..............................] - ETA: 1:37 - loss: 532.8148 - logits_profile_predictions_loss: 164.3221 - logcount_predictions_loss: 68.2394 14/714 [..............................] - ETA: 1:37 - loss: 517.8963 - logits_profile_predictions_loss: 164.2785 - logcount_predictions_loss: 65.4848 15/714 [..............................] - ETA: 1:37 - loss: 504.3428 - logits_profile_predictions_loss: 164.2971 - logcount_predictions_loss: 62.9714 16/714 [..............................] - ETA: 1:37 - loss: 491.9835 - logits_profile_predictions_loss: 164.3762 - logcount_predictions_loss: 60.6680 17/714 [..............................] - ETA: 1:37 - loss: 480.6325 - logits_profile_predictions_loss: 164.4650 - logcount_predictions_loss: 58.5496 18/714 [..............................] - ETA: 1:36 - loss: 470.1832 - logits_profile_predictions_loss: 164.5774 - logcount_predictions_loss: 56.5937 19/714 [..............................] - ETA: 1:36 - loss: 460.5792 - logits_profile_predictions_loss: 164.7487 - logcount_predictions_loss: 54.7834 20/714 [..............................] - ETA: 1:36 - loss: 451.6587 - logits_profile_predictions_loss: 164.9089 - logcount_predictions_loss: 53.1018 21/714 [..............................] - ETA: 1:36 - loss: 443.3344 - logits_profile_predictions_loss: 165.0482 - logcount_predictions_loss: 51.5345 22/714 [..............................] - ETA: 1:36 - loss: 435.5443 - logits_profile_predictions_loss: 165.1663 - logcount_predictions_loss: 50.0700 23/714 [..............................] - ETA: 1:36 - loss: 428.2555 - logits_profile_predictions_loss: 165.2829 - logcount_predictions_loss: 48.6986 24/714 [>.............................] - ETA: 1:36 - loss: 421.4141 - logits_profile_predictions_loss: 165.3924 - logcount_predictions_loss: 47.4114 25/714 [>.............................] - ETA: 1:35 - loss: 414.9949 - logits_profile_predictions_loss: 165.5093 - logcount_predictions_loss: 46.2010 26/714 [>.............................] - ETA: 1:35 - loss: 408.9622 - logits_profile_predictions_loss: 165.6381 - logcount_predictions_loss: 45.0600 27/714 [>.............................] - ETA: 1:35 - loss: 403.2409 - logits_profile_predictions_loss: 165.7368 - logcount_predictions_loss: 43.9823 28/714 [>.............................] - ETA: 1:35 - loss: 397.8292 - logits_profile_predictions_loss: 165.8313 - logcount_predictions_loss: 42.9626 29/714 [>.............................] - ETA: 1:35 - loss: 392.7188 - logits_profile_predictions_loss: 165.9373 - logcount_predictions_loss: 41.9966 30/714 [>.............................] - ETA: 1:35 - loss: 387.8611 - logits_profile_predictions_loss: 166.0314 - logcount_predictions_loss: 41.0796 31/714 [>.............................] - ETA: 1:35 - loss: 383.2445 - logits_profile_predictions_loss: 166.1218 - logcount_predictions_loss: 40.2079 32/714 [>.............................] - ETA: 1:34 - loss: 378.8518 - logits_profile_predictions_loss: 166.2094 - logcount_predictions_loss: 39.3782 33/714 [>.............................] - ETA: 1:34 - loss: 374.6502 - logits_profile_predictions_loss: 166.2796 - logcount_predictions_loss: 38.5871 34/714 [>.............................] - ETA: 1:34 - loss: 370.6285 - logits_profile_predictions_loss: 166.3361 - logcount_predictions_loss: 37.8319 35/714 [>.............................] - ETA: 1:34 - loss: 366.7906 - logits_profile_predictions_loss: 166.3945 - logcount_predictions_loss: 37.1104 36/714 [>.............................] - ETA: 1:34 - loss: 363.1114 - logits_profile_predictions_loss: 166.4436 - logcount_predictions_loss: 36.4200 37/714 [>.............................] - ETA: 1:34 - loss: 359.5958 - logits_profile_predictions_loss: 166.4978 - logcount_predictions_loss: 35.7589 38/714 [>.............................] - ETA: 1:34 - loss: 356.2192 - logits_profile_predictions_loss: 166.5442 - logcount_predictions_loss: 35.1250 39/714 [>.............................] - ETA: 1:33 - loss: 352.9802 - logits_profile_predictions_loss: 166.5895 - logcount_predictions_loss: 34.5168 40/714 [>.............................] - ETA: 1:33 - loss: 349.8687 - logits_profile_predictions_loss: 166.6327 - logcount_predictions_loss: 33.9326 41/714 [>.............................] - ETA: 1:33 - loss: 346.8804 - logits_profile_predictions_loss: 166.6770 - logcount_predictions_loss: 33.3710 42/714 [>.............................] - ETA: 1:33 - loss: 344.0065 - logits_profile_predictions_loss: 166.7209 - logcount_predictions_loss: 32.8307 43/714 [>.............................] - ETA: 1:33 - loss: 341.2484 - logits_profile_predictions_loss: 166.7720 - logcount_predictions_loss: 32.3105 44/714 [>.............................] - ETA: 1:33 - loss: 338.5879 - logits_profile_predictions_loss: 166.8191 - logcount_predictions_loss: 31.8090 45/714 [>.............................] - ETA: 1:33 - loss: 336.0249 - logits_profile_predictions_loss: 166.8676 - logcount_predictions_loss: 31.3254 46/714 [>.............................] - ETA: 1:33 - loss: 333.5526 - logits_profile_predictions_loss: 166.9156 - logcount_predictions_loss: 30.8587 47/714 [>.............................] - ETA: 1:32 - loss: 331.1636 - logits_profile_predictions_loss: 166.9613 - logcount_predictions_loss: 30.4078 48/714 [=>............................] - ETA: 1:32 - loss: 328.8659 - logits_profile_predictions_loss: 167.0157 - logcount_predictions_loss: 29.9723 49/714 [=>............................] - ETA: 1:32 - loss: 326.6398 - logits_profile_predictions_loss: 167.0648 - logcount_predictions_loss: 29.5509 50/714 [=>............................] - ETA: 1:32 - loss: 324.4905 - logits_profile_predictions_loss: 167.1167 - logcount_predictions_loss: 29.1433 51/714 [=>............................] - ETA: 1:32 - loss: 322.4098 - logits_profile_predictions_loss: 167.1673 - logcount_predictions_loss: 28.7486 52/714 [=>............................] - ETA: 1:32 - loss: 320.3974 - logits_profile_predictions_loss: 167.2195 - logcount_predictions_loss: 28.3663 53/714 [=>............................] - ETA: 1:32 - loss: 318.4473 - logits_profile_predictions_loss: 167.2707 - logcount_predictions_loss: 27.9957 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[====>.........................] - ETA: 1:20 - loss: 171.6985 - logits_profile_predictions_loss: 166.6722 - logcount_predictions_loss: 0.9308 140/714 [====>.........................] - ETA: 1:19 - loss: 171.6868 - logits_profile_predictions_loss: 166.6716 - logcount_predictions_loss: 0.9287 141/714 [====>.........................] - ETA: 1:19 - loss: 171.6751 - logits_profile_predictions_loss: 166.6709 - logcount_predictions_loss: 0.9267 142/714 [====>.........................] - ETA: 1:19 - loss: 171.6633 - logits_profile_predictions_loss: 166.6700 - logcount_predictions_loss: 0.9247 143/714 [=====>........................] - ETA: 1:19 - loss: 171.6516 - logits_profile_predictions_loss: 166.6693 - logcount_predictions_loss: 0.9226 144/714 [=====>........................] - ETA: 1:19 - loss: 171.6399 - logits_profile_predictions_loss: 166.6684 - logcount_predictions_loss: 0.9206 145/714 [=====>........................] - ETA: 1:19 - loss: 171.6283 - logits_profile_predictions_loss: 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[======>.......................] - ETA: 1:15 - loss: 171.3330 - logits_profile_predictions_loss: 166.6385 - logcount_predictions_loss: 0.8693 173/714 [======>.......................] - ETA: 1:15 - loss: 171.3235 - logits_profile_predictions_loss: 166.6381 - logcount_predictions_loss: 0.8677 174/714 [======>.......................] - ETA: 1:15 - loss: 171.3135 - logits_profile_predictions_loss: 166.6371 - logcount_predictions_loss: 0.8660 175/714 [======>.......................] - ETA: 1:14 - loss: 171.3035 - logits_profile_predictions_loss: 166.6360 - logcount_predictions_loss: 0.8643 176/714 [======>.......................] - ETA: 1:14 - loss: 171.2936 - logits_profile_predictions_loss: 166.6350 - logcount_predictions_loss: 0.8627 177/714 [======>.......................] - ETA: 1:14 - loss: 171.2835 - logits_profile_predictions_loss: 166.6337 - logcount_predictions_loss: 0.8611 178/714 [======>.......................] - ETA: 1:14 - loss: 171.2740 - logits_profile_predictions_loss: 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[==============================] - ETA: 0s - loss: 166.0942 - logits_profile_predictions_loss: 164.9602 - logcount_predictions_loss: 0.2100 714/714 [==============================] - 103s 145ms/step - loss: 166.0936 - logits_profile_predictions_loss: 164.9597 - logcount_predictions_loss: 0.2100 - val_loss: 173.0759 - val_logits_profile_predictions_loss: 171.9461 - val_logcount_predictions_loss: 0.2092 + +Epoch 00003: val_loss improved from 173.79381 to 173.07593, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2/chrombpnet.h5 +Epoch 4/50 + 1/714 [..............................] - ETA: 1:49 - loss: 169.8021 - logits_profile_predictions_loss: 168.7010 - logcount_predictions_loss: 0.2039 2/714 [..............................] - ETA: 1:39 - loss: 166.5192 - logits_profile_predictions_loss: 165.4421 - logcount_predictions_loss: 0.1995 3/714 [..............................] - ETA: 1:39 - loss: 167.0409 - 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[..............................] - ETA: 1:37 - loss: 166.7697 - logits_profile_predictions_loss: 165.6892 - logcount_predictions_loss: 0.2001 11/714 [..............................] - ETA: 1:37 - loss: 166.8248 - logits_profile_predictions_loss: 165.7480 - logcount_predictions_loss: 0.1994 12/714 [..............................] - ETA: 1:37 - loss: 166.8804 - logits_profile_predictions_loss: 165.8055 - logcount_predictions_loss: 0.1991 13/714 [..............................] - ETA: 1:37 - loss: 166.8738 - logits_profile_predictions_loss: 165.8025 - logcount_predictions_loss: 0.1984 14/714 [..............................] - ETA: 1:37 - loss: 166.8155 - logits_profile_predictions_loss: 165.7462 - logcount_predictions_loss: 0.1980 15/714 [..............................] - ETA: 1:37 - loss: 166.7428 - logits_profile_predictions_loss: 165.6758 - logcount_predictions_loss: 0.1976 16/714 [..............................] - ETA: 1:37 - loss: 166.7234 - logits_profile_predictions_loss: 165.6590 - logcount_predictions_loss: 0.1971 17/714 [..............................] - ETA: 1:36 - loss: 166.6605 - logits_profile_predictions_loss: 165.5992 - logcount_predictions_loss: 0.1965 18/714 [..............................] - ETA: 1:36 - loss: 166.6173 - logits_profile_predictions_loss: 165.5589 - logcount_predictions_loss: 0.1960 19/714 [..............................] - ETA: 1:36 - loss: 166.6031 - logits_profile_predictions_loss: 165.5475 - logcount_predictions_loss: 0.1955 20/714 [..............................] - ETA: 1:36 - loss: 166.5730 - logits_profile_predictions_loss: 165.5207 - logcount_predictions_loss: 0.1949 21/714 [..............................] - ETA: 1:36 - loss: 166.5315 - logits_profile_predictions_loss: 165.4810 - logcount_predictions_loss: 0.1945 22/714 [..............................] - ETA: 1:36 - loss: 166.4974 - logits_profile_predictions_loss: 165.4491 - logcount_predictions_loss: 0.1941 23/714 [..............................] - ETA: 1:36 - loss: 166.4518 - 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- logcount_predictions_loss: 0.1923 37/714 [>.............................] - ETA: 1:34 - loss: 165.9394 - logits_profile_predictions_loss: 164.9019 - logcount_predictions_loss: 0.1921 38/714 [>.............................] - ETA: 1:34 - loss: 165.9357 - logits_profile_predictions_loss: 164.8987 - logcount_predictions_loss: 0.1920 39/714 [>.............................] - ETA: 1:33 - loss: 165.9298 - logits_profile_predictions_loss: 164.8935 - logcount_predictions_loss: 0.1919 40/714 [>.............................] - ETA: 1:33 - loss: 165.9220 - logits_profile_predictions_loss: 164.8863 - logcount_predictions_loss: 0.1918 41/714 [>.............................] - ETA: 1:33 - loss: 165.9158 - logits_profile_predictions_loss: 164.8807 - logcount_predictions_loss: 0.1917 42/714 [>.............................] - ETA: 1:33 - loss: 165.9099 - logits_profile_predictions_loss: 164.8754 - logcount_predictions_loss: 0.1916 43/714 [>.............................] - ETA: 1:33 - loss: 165.9065 - 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[=>............................] - ETA: 1:32 - loss: 165.8668 - logits_profile_predictions_loss: 164.8336 - logcount_predictions_loss: 0.1913 51/714 [=>............................] - ETA: 1:32 - loss: 165.8535 - logits_profile_predictions_loss: 164.8201 - logcount_predictions_loss: 0.1914 52/714 [=>............................] - ETA: 1:32 - loss: 165.8390 - logits_profile_predictions_loss: 164.8054 - logcount_predictions_loss: 0.1914 53/714 [=>............................] - ETA: 1:31 - loss: 165.8214 - logits_profile_predictions_loss: 164.7876 - logcount_predictions_loss: 0.1915 54/714 [=>............................] - ETA: 1:31 - loss: 165.8029 - logits_profile_predictions_loss: 164.7688 - logcount_predictions_loss: 0.1915 55/714 [=>............................] - ETA: 1:31 - loss: 165.7828 - logits_profile_predictions_loss: 164.7485 - logcount_predictions_loss: 0.1915 56/714 [=>............................] - ETA: 1:31 - loss: 165.7645 - logits_profile_predictions_loss: 164.7298 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[=>............................] - ETA: 1:30 - loss: 165.5748 - logits_profile_predictions_loss: 164.5330 - logcount_predictions_loss: 0.1929 71/714 [=>............................] - ETA: 1:30 - loss: 165.5596 - logits_profile_predictions_loss: 164.5174 - logcount_predictions_loss: 0.1930 72/714 [==>...........................] - ETA: 1:30 - loss: 165.5465 - logits_profile_predictions_loss: 164.5039 - logcount_predictions_loss: 0.1931 73/714 [==>...........................] - ETA: 1:30 - loss: 165.5347 - logits_profile_predictions_loss: 164.4917 - logcount_predictions_loss: 0.1932 74/714 [==>...........................] - ETA: 1:29 - loss: 165.5233 - logits_profile_predictions_loss: 164.4799 - logcount_predictions_loss: 0.1932 75/714 [==>...........................] - ETA: 1:29 - loss: 165.5115 - logits_profile_predictions_loss: 164.4675 - logcount_predictions_loss: 0.1933 76/714 [==>...........................] - ETA: 1:29 - loss: 165.4991 - logits_profile_predictions_loss: 164.4546 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logits_profile_predictions_loss: 163.8998 - logcount_predictions_loss: 0.1936 710/714 [============================>.] - ETA: 0s - loss: 164.9457 - logits_profile_predictions_loss: 163.9002 - logcount_predictions_loss: 0.1936 711/714 [============================>.] - ETA: 0s - loss: 164.9460 - logits_profile_predictions_loss: 163.9006 - logcount_predictions_loss: 0.1936 712/714 [============================>.] - ETA: 0s - loss: 164.9463 - logits_profile_predictions_loss: 163.9009 - logcount_predictions_loss: 0.1936 713/714 [============================>.] - ETA: 0s - loss: 164.9467 - logits_profile_predictions_loss: 163.9013 - logcount_predictions_loss: 0.1936 714/714 [==============================] - ETA: 0s - loss: 164.9470 - logits_profile_predictions_loss: 163.9017 - logcount_predictions_loss: 0.1936 714/714 [==============================] - 104s 145ms/step - loss: 164.9473 - logits_profile_predictions_loss: 163.9020 - logcount_predictions_loss: 0.1936 - val_loss: 172.4279 - val_logits_profile_predictions_loss: 171.4656 - val_logcount_predictions_loss: 0.1782 + +Epoch 00004: val_loss improved from 173.07593 to 172.42793, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2/chrombpnet.h5 +Epoch 5/50 + 1/714 [..............................] - ETA: 1:49 - loss: 158.2114 - logits_profile_predictions_loss: 157.3416 - logcount_predictions_loss: 0.1611 2/714 [..............................] - ETA: 1:39 - loss: 157.4420 - logits_profile_predictions_loss: 156.5472 - logcount_predictions_loss: 0.1657 3/714 [..............................] - ETA: 1:38 - loss: 157.5115 - logits_profile_predictions_loss: 156.5592 - logcount_predictions_loss: 0.1763 4/714 [..............................] - ETA: 1:38 - loss: 158.4084 - logits_profile_predictions_loss: 157.4419 - logcount_predictions_loss: 0.1790 5/714 [..............................] - ETA: 1:38 - loss: 158.8238 - logits_profile_predictions_loss: 157.8638 - 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[..............................] - ETA: 1:36 - loss: 160.4070 - logits_profile_predictions_loss: 159.4668 - logcount_predictions_loss: 0.1741 20/714 [..............................] - ETA: 1:36 - loss: 160.5313 - logits_profile_predictions_loss: 159.5898 - logcount_predictions_loss: 0.1743 21/714 [..............................] - ETA: 1:36 - loss: 160.6324 - logits_profile_predictions_loss: 159.6898 - logcount_predictions_loss: 0.1746 22/714 [..............................] - ETA: 1:36 - loss: 160.7266 - logits_profile_predictions_loss: 159.7829 - logcount_predictions_loss: 0.1748 23/714 [..............................] - ETA: 1:35 - loss: 160.8073 - logits_profile_predictions_loss: 159.8622 - logcount_predictions_loss: 0.1750 24/714 [>.............................] - ETA: 1:35 - loss: 160.8869 - logits_profile_predictions_loss: 159.9403 - logcount_predictions_loss: 0.1753 25/714 [>.............................] - ETA: 1:35 - loss: 161.0072 - logits_profile_predictions_loss: 160.0595 - logcount_predictions_loss: 0.1755 26/714 [>.............................] - ETA: 1:35 - loss: 161.0867 - logits_profile_predictions_loss: 160.1380 - logcount_predictions_loss: 0.1757 27/714 [>.............................] - ETA: 1:35 - loss: 161.1686 - logits_profile_predictions_loss: 160.2185 - logcount_predictions_loss: 0.1759 28/714 [>.............................] - ETA: 1:35 - loss: 161.2394 - logits_profile_predictions_loss: 160.2871 - logcount_predictions_loss: 0.1763 29/714 [>.............................] - ETA: 1:35 - loss: 161.3198 - logits_profile_predictions_loss: 160.3647 - logcount_predictions_loss: 0.1769 30/714 [>.............................] - ETA: 1:35 - loss: 161.3932 - logits_profile_predictions_loss: 160.4357 - logcount_predictions_loss: 0.1773 31/714 [>.............................] - ETA: 1:34 - loss: 161.4770 - logits_profile_predictions_loss: 160.5174 - logcount_predictions_loss: 0.1777 32/714 [>.............................] - ETA: 1:34 - loss: 161.5565 - 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[>.............................] - ETA: 1:33 - loss: 162.0905 - logits_profile_predictions_loss: 161.1102 - logcount_predictions_loss: 0.1815 40/714 [>.............................] - ETA: 1:33 - loss: 162.1413 - logits_profile_predictions_loss: 161.1586 - logcount_predictions_loss: 0.1820 41/714 [>.............................] - ETA: 1:33 - loss: 162.1959 - logits_profile_predictions_loss: 161.2114 - logcount_predictions_loss: 0.1823 42/714 [>.............................] - ETA: 1:33 - loss: 162.2458 - logits_profile_predictions_loss: 161.2597 - logcount_predictions_loss: 0.1826 43/714 [>.............................] - ETA: 1:33 - loss: 162.2974 - logits_profile_predictions_loss: 161.3095 - logcount_predictions_loss: 0.1830 44/714 [>.............................] - ETA: 1:33 - loss: 162.3499 - logits_profile_predictions_loss: 161.3601 - logcount_predictions_loss: 0.1833 45/714 [>.............................] - ETA: 1:32 - loss: 162.3999 - logits_profile_predictions_loss: 161.4084 - logcount_predictions_loss: 0.1836 46/714 [>.............................] - ETA: 1:32 - loss: 162.4417 - logits_profile_predictions_loss: 161.4487 - logcount_predictions_loss: 0.1839 47/714 [>.............................] - ETA: 1:32 - loss: 162.4806 - logits_profile_predictions_loss: 161.4862 - logcount_predictions_loss: 0.1842 48/714 [=>............................] - ETA: 1:32 - loss: 162.5159 - logits_profile_predictions_loss: 161.5201 - logcount_predictions_loss: 0.1844 49/714 [=>............................] - ETA: 1:32 - loss: 162.5424 - logits_profile_predictions_loss: 161.5452 - logcount_predictions_loss: 0.1847 50/714 [=>............................] - ETA: 1:32 - loss: 162.5729 - logits_profile_predictions_loss: 161.5743 - logcount_predictions_loss: 0.1849 51/714 [=>............................] - ETA: 1:32 - loss: 162.5996 - logits_profile_predictions_loss: 161.5997 - logcount_predictions_loss: 0.1852 52/714 [=>............................] - ETA: 1:31 - loss: 162.6250 - 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[=>............................] - ETA: 1:31 - loss: 162.8049 - logits_profile_predictions_loss: 161.7966 - logcount_predictions_loss: 0.1867 60/714 [=>............................] - ETA: 1:30 - loss: 162.8289 - logits_profile_predictions_loss: 161.8196 - logcount_predictions_loss: 0.1869 61/714 [=>............................] - ETA: 1:30 - loss: 162.8500 - logits_profile_predictions_loss: 161.8396 - logcount_predictions_loss: 0.1871 62/714 [=>............................] - ETA: 1:30 - loss: 162.8687 - logits_profile_predictions_loss: 161.8572 - logcount_predictions_loss: 0.1873 63/714 [=>............................] - ETA: 1:30 - loss: 162.8844 - logits_profile_predictions_loss: 161.8719 - logcount_predictions_loss: 0.1875 64/714 [=>............................] - ETA: 1:30 - loss: 162.8995 - logits_profile_predictions_loss: 161.8860 - logcount_predictions_loss: 0.1877 65/714 [=>............................] - ETA: 1:30 - loss: 162.9135 - logits_profile_predictions_loss: 161.8991 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logits_profile_predictions_loss: 161.9775 - logcount_predictions_loss: 0.1890 73/714 [==>...........................] - ETA: 1:29 - loss: 163.0097 - logits_profile_predictions_loss: 161.9881 - logcount_predictions_loss: 0.1892 74/714 [==>...........................] - ETA: 1:28 - loss: 163.0215 - logits_profile_predictions_loss: 161.9990 - logcount_predictions_loss: 0.1893 75/714 [==>...........................] - ETA: 1:28 - loss: 163.0336 - logits_profile_predictions_loss: 162.0102 - logcount_predictions_loss: 0.1895 76/714 [==>...........................] - ETA: 1:28 - loss: 163.0442 - logits_profile_predictions_loss: 162.0200 - logcount_predictions_loss: 0.1897 77/714 [==>...........................] - ETA: 1:28 - loss: 163.0535 - logits_profile_predictions_loss: 162.0283 - logcount_predictions_loss: 0.1898 78/714 [==>...........................] - ETA: 1:28 - loss: 163.0614 - logits_profile_predictions_loss: 162.0354 - logcount_predictions_loss: 0.1900 79/714 [==>...........................] - ETA: 1:28 - loss: 163.0682 - logits_profile_predictions_loss: 162.0414 - logcount_predictions_loss: 0.1901 80/714 [==>...........................] - ETA: 1:28 - loss: 163.0721 - logits_profile_predictions_loss: 162.0446 - logcount_predictions_loss: 0.1903 81/714 [==>...........................] - ETA: 1:27 - loss: 163.0752 - logits_profile_predictions_loss: 162.0471 - logcount_predictions_loss: 0.1904 82/714 [==>...........................] - ETA: 1:27 - loss: 163.0787 - logits_profile_predictions_loss: 162.0500 - logcount_predictions_loss: 0.1905 83/714 [==>...........................] - ETA: 1:27 - loss: 163.0835 - logits_profile_predictions_loss: 162.0542 - logcount_predictions_loss: 0.1906 84/714 [==>...........................] - ETA: 1:27 - loss: 163.0874 - logits_profile_predictions_loss: 162.0577 - logcount_predictions_loss: 0.1907 85/714 [==>...........................] - ETA: 1:27 - loss: 163.0896 - logits_profile_predictions_loss: 162.0594 - logcount_predictions_loss: 0.1908 86/714 [==>...........................] - ETA: 1:27 - loss: 163.0908 - logits_profile_predictions_loss: 162.0603 - logcount_predictions_loss: 0.1909 87/714 [==>...........................] - ETA: 1:27 - loss: 163.0913 - logits_profile_predictions_loss: 162.0604 - logcount_predictions_loss: 0.1909 88/714 [==>...........................] - ETA: 1:26 - loss: 163.0944 - logits_profile_predictions_loss: 162.0631 - logcount_predictions_loss: 0.1910 89/714 [==>...........................] - ETA: 1:26 - loss: 163.0990 - logits_profile_predictions_loss: 162.0674 - logcount_predictions_loss: 0.1911 90/714 [==>...........................] - ETA: 1:26 - loss: 163.1032 - logits_profile_predictions_loss: 162.0711 - logcount_predictions_loss: 0.1911 91/714 [==>...........................] - ETA: 1:26 - loss: 163.1087 - logits_profile_predictions_loss: 162.0762 - logcount_predictions_loss: 0.1912 92/714 [==>...........................] - ETA: 1:26 - loss: 163.1139 - logits_profile_predictions_loss: 162.0811 - logcount_predictions_loss: 0.1913 93/714 [==>...........................] - ETA: 1:26 - loss: 163.1170 - logits_profile_predictions_loss: 162.0839 - logcount_predictions_loss: 0.1913 94/714 [==>...........................] - ETA: 1:26 - loss: 163.1207 - logits_profile_predictions_loss: 162.0874 - logcount_predictions_loss: 0.1914 95/714 [==>...........................] - ETA: 1:26 - loss: 163.1248 - logits_profile_predictions_loss: 162.0912 - logcount_predictions_loss: 0.1914 96/714 [===>..........................] - ETA: 1:25 - loss: 163.1287 - logits_profile_predictions_loss: 162.0949 - logcount_predictions_loss: 0.1915 97/714 [===>..........................] - ETA: 1:25 - loss: 163.1330 - logits_profile_predictions_loss: 162.0989 - logcount_predictions_loss: 0.1915 98/714 [===>..........................] - ETA: 1:25 - loss: 163.1392 - logits_profile_predictions_loss: 162.1050 - logcount_predictions_loss: 0.1915 99/714 [===>..........................] - ETA: 1:25 - loss: 163.1453 - logits_profile_predictions_loss: 162.1108 - logcount_predictions_loss: 0.1916 100/714 [===>..........................] - ETA: 1:25 - loss: 163.1513 - logits_profile_predictions_loss: 162.1166 - logcount_predictions_loss: 0.1916 101/714 [===>..........................] - ETA: 1:25 - loss: 163.1577 - logits_profile_predictions_loss: 162.1228 - logcount_predictions_loss: 0.1916 102/714 [===>..........................] - ETA: 1:25 - loss: 163.1645 - logits_profile_predictions_loss: 162.1295 - logcount_predictions_loss: 0.1917 103/714 [===>..........................] - ETA: 1:24 - loss: 163.1719 - logits_profile_predictions_loss: 162.1368 - logcount_predictions_loss: 0.1917 104/714 [===>..........................] - ETA: 1:24 - loss: 163.1795 - logits_profile_predictions_loss: 162.1442 - logcount_predictions_loss: 0.1917 105/714 [===>..........................] - ETA: 1:24 - loss: 163.1878 - logits_profile_predictions_loss: 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[============================>.] - ETA: 1s - loss: 164.3883 - logits_profile_predictions_loss: 163.3711 - logcount_predictions_loss: 0.1884 706/714 [============================>.] - ETA: 1s - loss: 164.3888 - logits_profile_predictions_loss: 163.3717 - logcount_predictions_loss: 0.1884 707/714 [============================>.] - ETA: 0s - loss: 164.3893 - logits_profile_predictions_loss: 163.3722 - logcount_predictions_loss: 0.1884 708/714 [============================>.] - ETA: 0s - loss: 164.3898 - logits_profile_predictions_loss: 163.3727 - logcount_predictions_loss: 0.1883 709/714 [============================>.] - ETA: 0s - loss: 164.3903 - logits_profile_predictions_loss: 163.3732 - logcount_predictions_loss: 0.1883 710/714 [============================>.] - ETA: 0s - loss: 164.3909 - logits_profile_predictions_loss: 163.3738 - logcount_predictions_loss: 0.1883 711/714 [============================>.] - ETA: 0s - loss: 164.3914 - logits_profile_predictions_loss: 163.3743 - logcount_predictions_loss: 0.1883 712/714 [============================>.] - ETA: 0s - loss: 164.3919 - logits_profile_predictions_loss: 163.3749 - logcount_predictions_loss: 0.1883 713/714 [============================>.] - ETA: 0s - loss: 164.3924 - logits_profile_predictions_loss: 163.3754 - logcount_predictions_loss: 0.1883 714/714 [==============================] - ETA: 0s - loss: 164.3929 - logits_profile_predictions_loss: 163.3759 - logcount_predictions_loss: 0.1883 714/714 [==============================] - 103s 145ms/step - loss: 164.3934 - logits_profile_predictions_loss: 163.3765 - logcount_predictions_loss: 0.1883 - val_loss: 172.5721 - val_logits_profile_predictions_loss: 171.5930 - val_logcount_predictions_loss: 0.1813 + +Epoch 00005: val_loss did not improve from 172.42793 +Epoch 6/50 + 1/714 [..............................] - ETA: 1:49 - loss: 155.8340 - logits_profile_predictions_loss: 154.6615 - logcount_predictions_loss: 0.2171 2/714 [..............................] - ETA: 1:38 - loss: 156.7583 - logits_profile_predictions_loss: 155.6686 - logcount_predictions_loss: 0.2018 3/714 [..............................] - ETA: 1:38 - loss: 159.2974 - logits_profile_predictions_loss: 158.2324 - logcount_predictions_loss: 0.1972 4/714 [..............................] - ETA: 1:38 - loss: 160.6683 - logits_profile_predictions_loss: 159.6403 - logcount_predictions_loss: 0.1904 5/714 [..............................] - ETA: 1:38 - loss: 161.1541 - logits_profile_predictions_loss: 160.1517 - logcount_predictions_loss: 0.1856 6/714 [..............................] - ETA: 1:38 - loss: 161.7535 - logits_profile_predictions_loss: 160.7695 - logcount_predictions_loss: 0.1822 7/714 [..............................] - ETA: 1:38 - loss: 161.9765 - logits_profile_predictions_loss: 160.9976 - logcount_predictions_loss: 0.1813 8/714 [..............................] - ETA: 1:38 - loss: 162.1310 - logits_profile_predictions_loss: 161.1553 - logcount_predictions_loss: 0.1807 9/714 [..............................] - ETA: 1:37 - loss: 162.3013 - logits_profile_predictions_loss: 161.3302 - logcount_predictions_loss: 0.1798 10/714 [..............................] - ETA: 1:37 - loss: 162.4860 - logits_profile_predictions_loss: 161.5194 - logcount_predictions_loss: 0.1790 11/714 [..............................] - ETA: 1:37 - loss: 162.5946 - logits_profile_predictions_loss: 161.6338 - logcount_predictions_loss: 0.1779 12/714 [..............................] - ETA: 1:37 - loss: 162.6251 - logits_profile_predictions_loss: 161.6677 - logcount_predictions_loss: 0.1773 13/714 [..............................] - ETA: 1:37 - loss: 162.6033 - logits_profile_predictions_loss: 161.6507 - logcount_predictions_loss: 0.1764 14/714 [..............................] - ETA: 1:37 - loss: 162.5554 - logits_profile_predictions_loss: 161.6060 - logcount_predictions_loss: 0.1758 15/714 [..............................] - ETA: 1:37 - loss: 162.5326 - logits_profile_predictions_loss: 161.5861 - logcount_predictions_loss: 0.1753 16/714 [..............................] - ETA: 1:36 - loss: 162.5308 - logits_profile_predictions_loss: 161.5861 - logcount_predictions_loss: 0.1749 17/714 [..............................] - ETA: 1:36 - loss: 162.5525 - logits_profile_predictions_loss: 161.6097 - logcount_predictions_loss: 0.1746 18/714 [..............................] - ETA: 1:36 - loss: 162.5831 - logits_profile_predictions_loss: 161.6428 - logcount_predictions_loss: 0.1741 19/714 [..............................] - ETA: 1:36 - loss: 162.6310 - logits_profile_predictions_loss: 161.6925 - logcount_predictions_loss: 0.1738 20/714 [..............................] - ETA: 1:36 - loss: 162.6692 - logits_profile_predictions_loss: 161.7327 - logcount_predictions_loss: 0.1734 21/714 [..............................] - ETA: 1:36 - loss: 162.7041 - logits_profile_predictions_loss: 161.7695 - logcount_predictions_loss: 0.1731 22/714 [..............................] - ETA: 1:36 - loss: 162.7418 - logits_profile_predictions_loss: 161.8088 - logcount_predictions_loss: 0.1728 23/714 [..............................] - ETA: 1:35 - loss: 162.7535 - logits_profile_predictions_loss: 161.8222 - logcount_predictions_loss: 0.1725 24/714 [>.............................] - ETA: 1:35 - loss: 162.7582 - logits_profile_predictions_loss: 161.8284 - logcount_predictions_loss: 0.1722 25/714 [>.............................] - ETA: 1:35 - loss: 162.7732 - logits_profile_predictions_loss: 161.8440 - logcount_predictions_loss: 0.1721 26/714 [>.............................] - ETA: 1:35 - loss: 162.7617 - logits_profile_predictions_loss: 161.8330 - logcount_predictions_loss: 0.1720 27/714 [>.............................] - ETA: 1:35 - loss: 162.7611 - logits_profile_predictions_loss: 161.8328 - logcount_predictions_loss: 0.1719 28/714 [>.............................] - ETA: 1:35 - loss: 162.7529 - logits_profile_predictions_loss: 161.8248 - logcount_predictions_loss: 0.1719 29/714 [>.............................] - ETA: 1:35 - loss: 162.7430 - logits_profile_predictions_loss: 161.8153 - logcount_predictions_loss: 0.1718 30/714 [>.............................] - ETA: 1:34 - loss: 162.7446 - logits_profile_predictions_loss: 161.8174 - logcount_predictions_loss: 0.1717 31/714 [>.............................] - ETA: 1:34 - loss: 162.7498 - logits_profile_predictions_loss: 161.8231 - logcount_predictions_loss: 0.1716 32/714 [>.............................] - ETA: 1:34 - loss: 162.7536 - logits_profile_predictions_loss: 161.8273 - logcount_predictions_loss: 0.1715 33/714 [>.............................] - ETA: 1:34 - loss: 162.7626 - logits_profile_predictions_loss: 161.8371 - logcount_predictions_loss: 0.1714 34/714 [>.............................] - ETA: 1:34 - loss: 162.7626 - logits_profile_predictions_loss: 161.8379 - logcount_predictions_loss: 0.1712 35/714 [>.............................] - ETA: 1:34 - loss: 162.7737 - logits_profile_predictions_loss: 161.8497 - logcount_predictions_loss: 0.1711 36/714 [>.............................] - ETA: 1:34 - loss: 162.7879 - logits_profile_predictions_loss: 161.8647 - logcount_predictions_loss: 0.1710 37/714 [>.............................] - ETA: 1:33 - loss: 162.7945 - logits_profile_predictions_loss: 161.8722 - logcount_predictions_loss: 0.1708 38/714 [>.............................] - ETA: 1:33 - loss: 162.7965 - logits_profile_predictions_loss: 161.8749 - logcount_predictions_loss: 0.1707 39/714 [>.............................] - ETA: 1:33 - loss: 162.8113 - logits_profile_predictions_loss: 161.8904 - logcount_predictions_loss: 0.1705 40/714 [>.............................] - ETA: 1:33 - loss: 162.8254 - logits_profile_predictions_loss: 161.9053 - logcount_predictions_loss: 0.1704 41/714 [>.............................] - ETA: 1:33 - loss: 162.8370 - logits_profile_predictions_loss: 161.9178 - logcount_predictions_loss: 0.1702 42/714 [>.............................] - ETA: 1:33 - loss: 162.8578 - logits_profile_predictions_loss: 161.9394 - logcount_predictions_loss: 0.1701 43/714 [>.............................] - ETA: 1:33 - loss: 162.8876 - logits_profile_predictions_loss: 161.9699 - logcount_predictions_loss: 0.1700 44/714 [>.............................] - ETA: 1:33 - loss: 162.9176 - logits_profile_predictions_loss: 162.0005 - logcount_predictions_loss: 0.1698 45/714 [>.............................] - ETA: 1:32 - loss: 162.9505 - logits_profile_predictions_loss: 162.0342 - logcount_predictions_loss: 0.1697 46/714 [>.............................] - ETA: 1:32 - loss: 162.9865 - logits_profile_predictions_loss: 162.0711 - logcount_predictions_loss: 0.1695 47/714 [>.............................] - ETA: 1:32 - loss: 163.0246 - logits_profile_predictions_loss: 162.1102 - logcount_predictions_loss: 0.1693 48/714 [=>............................] - ETA: 1:32 - loss: 163.0648 - logits_profile_predictions_loss: 162.1513 - logcount_predictions_loss: 0.1692 49/714 [=>............................] - ETA: 1:32 - loss: 163.0984 - logits_profile_predictions_loss: 162.1859 - logcount_predictions_loss: 0.1690 50/714 [=>............................] - ETA: 1:32 - loss: 163.1298 - logits_profile_predictions_loss: 162.2184 - logcount_predictions_loss: 0.1688 51/714 [=>............................] - ETA: 1:32 - loss: 163.1575 - logits_profile_predictions_loss: 162.2472 - logcount_predictions_loss: 0.1686 52/714 [=>............................] - ETA: 1:31 - loss: 163.1883 - logits_profile_predictions_loss: 162.2789 - logcount_predictions_loss: 0.1684 53/714 [=>............................] - ETA: 1:31 - loss: 163.2179 - logits_profile_predictions_loss: 162.3093 - logcount_predictions_loss: 0.1683 54/714 [=>............................] - ETA: 1:31 - loss: 163.2413 - logits_profile_predictions_loss: 162.3334 - logcount_predictions_loss: 0.1681 55/714 [=>............................] - ETA: 1:31 - loss: 163.2654 - logits_profile_predictions_loss: 162.3583 - logcount_predictions_loss: 0.1680 56/714 [=>............................] - ETA: 1:31 - loss: 163.2881 - logits_profile_predictions_loss: 162.3818 - logcount_predictions_loss: 0.1678 57/714 [=>............................] - ETA: 1:31 - loss: 163.3108 - logits_profile_predictions_loss: 162.4053 - logcount_predictions_loss: 0.1677 58/714 [=>............................] - ETA: 1:31 - loss: 163.3347 - logits_profile_predictions_loss: 162.4299 - logcount_predictions_loss: 0.1676 59/714 [=>............................] - ETA: 1:30 - loss: 163.3605 - logits_profile_predictions_loss: 162.4564 - logcount_predictions_loss: 0.1674 60/714 [=>............................] - ETA: 1:30 - loss: 163.3793 - logits_profile_predictions_loss: 162.4758 - logcount_predictions_loss: 0.1673 61/714 [=>............................] - ETA: 1:30 - loss: 163.3965 - logits_profile_predictions_loss: 162.4937 - logcount_predictions_loss: 0.1672 62/714 [=>............................] - ETA: 1:30 - loss: 163.4120 - logits_profile_predictions_loss: 162.5099 - logcount_predictions_loss: 0.1671 63/714 [=>............................] - ETA: 1:30 - loss: 163.4294 - logits_profile_predictions_loss: 162.5280 - logcount_predictions_loss: 0.1669 64/714 [=>............................] - ETA: 1:30 - loss: 163.4454 - logits_profile_predictions_loss: 162.5446 - logcount_predictions_loss: 0.1668 65/714 [=>............................] - ETA: 1:30 - loss: 163.4626 - logits_profile_predictions_loss: 162.5623 - logcount_predictions_loss: 0.1667 66/714 [=>............................] - ETA: 1:29 - loss: 163.4797 - logits_profile_predictions_loss: 162.5801 - logcount_predictions_loss: 0.1666 67/714 [=>............................] - ETA: 1:29 - loss: 163.4977 - logits_profile_predictions_loss: 162.5985 - logcount_predictions_loss: 0.1665 68/714 [=>............................] - ETA: 1:29 - loss: 163.5159 - logits_profile_predictions_loss: 162.6170 - logcount_predictions_loss: 0.1665 69/714 [=>............................] - ETA: 1:29 - loss: 163.5322 - logits_profile_predictions_loss: 162.6336 - logcount_predictions_loss: 0.1664 70/714 [=>............................] - ETA: 1:29 - loss: 163.5463 - logits_profile_predictions_loss: 162.6480 - logcount_predictions_loss: 0.1663 71/714 [=>............................] - ETA: 1:29 - loss: 163.5596 - logits_profile_predictions_loss: 162.6615 - logcount_predictions_loss: 0.1663 72/714 [==>...........................] - ETA: 1:29 - loss: 163.5716 - logits_profile_predictions_loss: 162.6737 - logcount_predictions_loss: 0.1663 73/714 [==>...........................] - ETA: 1:28 - loss: 163.5843 - logits_profile_predictions_loss: 162.6866 - logcount_predictions_loss: 0.1662 74/714 [==>...........................] - ETA: 1:28 - loss: 163.5958 - logits_profile_predictions_loss: 162.6983 - logcount_predictions_loss: 0.1662 75/714 [==>...........................] - ETA: 1:28 - loss: 163.6068 - logits_profile_predictions_loss: 162.7094 - logcount_predictions_loss: 0.1662 76/714 [==>...........................] - ETA: 1:28 - loss: 163.6215 - logits_profile_predictions_loss: 162.7242 - logcount_predictions_loss: 0.1662 77/714 [==>...........................] - ETA: 1:28 - loss: 163.6371 - logits_profile_predictions_loss: 162.7400 - logcount_predictions_loss: 0.1661 78/714 [==>...........................] - ETA: 1:28 - loss: 163.6531 - logits_profile_predictions_loss: 162.7562 - logcount_predictions_loss: 0.1661 79/714 [==>...........................] - ETA: 1:28 - loss: 163.6720 - logits_profile_predictions_loss: 162.7753 - logcount_predictions_loss: 0.1661 80/714 [==>...........................] - ETA: 1:28 - loss: 163.6899 - logits_profile_predictions_loss: 162.7934 - logcount_predictions_loss: 0.1660 81/714 [==>...........................] - ETA: 1:27 - loss: 163.7077 - logits_profile_predictions_loss: 162.8114 - logcount_predictions_loss: 0.1660 82/714 [==>...........................] - ETA: 1:27 - loss: 163.7224 - logits_profile_predictions_loss: 162.8264 - logcount_predictions_loss: 0.1659 83/714 [==>...........................] - ETA: 1:27 - loss: 163.7363 - logits_profile_predictions_loss: 162.8405 - logcount_predictions_loss: 0.1659 84/714 [==>...........................] - ETA: 1:27 - loss: 163.7493 - logits_profile_predictions_loss: 162.8537 - logcount_predictions_loss: 0.1659 85/714 [==>...........................] - ETA: 1:27 - loss: 163.7605 - logits_profile_predictions_loss: 162.8651 - logcount_predictions_loss: 0.1658 86/714 [==>...........................] - ETA: 1:27 - loss: 163.7729 - logits_profile_predictions_loss: 162.8776 - logcount_predictions_loss: 0.1658 87/714 [==>...........................] - ETA: 1:27 - loss: 163.7852 - logits_profile_predictions_loss: 162.8901 - logcount_predictions_loss: 0.1658 88/714 [==>...........................] - ETA: 1:26 - loss: 163.7985 - logits_profile_predictions_loss: 162.9035 - logcount_predictions_loss: 0.1657 89/714 [==>...........................] - ETA: 1:26 - loss: 163.8106 - logits_profile_predictions_loss: 162.9158 - logcount_predictions_loss: 0.1657 90/714 [==>...........................] - ETA: 1:26 - loss: 163.8224 - logits_profile_predictions_loss: 162.9278 - logcount_predictions_loss: 0.1657 91/714 [==>...........................] - ETA: 1:26 - loss: 163.8348 - logits_profile_predictions_loss: 162.9403 - logcount_predictions_loss: 0.1656 92/714 [==>...........................] - ETA: 1:26 - loss: 163.8474 - logits_profile_predictions_loss: 162.9531 - logcount_predictions_loss: 0.1656 93/714 [==>...........................] - ETA: 1:26 - loss: 163.8594 - logits_profile_predictions_loss: 162.9653 - logcount_predictions_loss: 0.1656 94/714 [==>...........................] - ETA: 1:26 - loss: 163.8724 - logits_profile_predictions_loss: 162.9784 - logcount_predictions_loss: 0.1656 95/714 [==>...........................] - ETA: 1:25 - loss: 163.8851 - logits_profile_predictions_loss: 162.9913 - logcount_predictions_loss: 0.1655 96/714 [===>..........................] - ETA: 1:25 - loss: 163.8971 - logits_profile_predictions_loss: 163.0034 - logcount_predictions_loss: 0.1655 97/714 [===>..........................] - ETA: 1:25 - loss: 163.9085 - logits_profile_predictions_loss: 163.0149 - logcount_predictions_loss: 0.1655 98/714 [===>..........................] - ETA: 1:25 - loss: 163.9182 - logits_profile_predictions_loss: 163.0247 - logcount_predictions_loss: 0.1655 99/714 [===>..........................] - ETA: 1:25 - loss: 163.9291 - logits_profile_predictions_loss: 163.0357 - logcount_predictions_loss: 0.1655 100/714 [===>..........................] - ETA: 1:25 - loss: 163.9414 - logits_profile_predictions_loss: 163.0481 - logcount_predictions_loss: 0.1654 101/714 [===>..........................] - ETA: 1:25 - loss: 163.9537 - logits_profile_predictions_loss: 163.0605 - logcount_predictions_loss: 0.1654 102/714 [===>..........................] - ETA: 1:24 - loss: 163.9659 - logits_profile_predictions_loss: 163.0728 - logcount_predictions_loss: 0.1654 103/714 [===>..........................] - ETA: 1:24 - loss: 163.9760 - logits_profile_predictions_loss: 163.0831 - logcount_predictions_loss: 0.1654 104/714 [===>..........................] - ETA: 1:24 - loss: 163.9857 - logits_profile_predictions_loss: 163.0928 - logcount_predictions_loss: 0.1653 105/714 [===>..........................] - ETA: 1:24 - loss: 163.9960 - logits_profile_predictions_loss: 163.1032 - logcount_predictions_loss: 0.1653 106/714 [===>..........................] - ETA: 1:24 - loss: 164.0057 - logits_profile_predictions_loss: 163.1131 - logcount_predictions_loss: 0.1653 108/714 [===>..........................] - ETA: 1:23 - loss: 164.0241 - logits_profile_predictions_loss: 163.1317 - logcount_predictions_loss: 0.1653 109/714 [===>..........................] - ETA: 1:23 - loss: 164.0332 - logits_profile_predictions_loss: 163.1409 - logcount_predictions_loss: 0.1652 110/714 [===>..........................] - ETA: 1:23 - loss: 164.0431 - logits_profile_predictions_loss: 163.1509 - logcount_predictions_loss: 0.1652 111/714 [===>..........................] - ETA: 1:23 - loss: 164.0521 - logits_profile_predictions_loss: 163.1600 - logcount_predictions_loss: 0.1652 112/714 [===>..........................] - ETA: 1:22 - loss: 164.0613 - logits_profile_predictions_loss: 163.1693 - logcount_predictions_loss: 0.1652 113/714 [===>..........................] - ETA: 1:22 - loss: 164.0697 - logits_profile_predictions_loss: 163.1777 - logcount_predictions_loss: 0.1652 114/714 [===>..........................] - ETA: 1:22 - loss: 164.0774 - logits_profile_predictions_loss: 163.1855 - logcount_predictions_loss: 0.1652 115/714 [===>..........................] - ETA: 1:22 - loss: 164.0858 - logits_profile_predictions_loss: 163.1940 - logcount_predictions_loss: 0.1652 116/714 [===>..........................] - ETA: 1:22 - loss: 164.0942 - logits_profile_predictions_loss: 163.2024 - logcount_predictions_loss: 0.1651 117/714 [===>..........................] - ETA: 1:22 - loss: 164.1027 - logits_profile_predictions_loss: 163.2110 - logcount_predictions_loss: 0.1651 118/714 [===>..........................] - ETA: 1:22 - loss: 164.1118 - logits_profile_predictions_loss: 163.2200 - logcount_predictions_loss: 0.1651 119/714 [====>.........................] - ETA: 1:21 - loss: 164.1203 - logits_profile_predictions_loss: 163.2286 - logcount_predictions_loss: 0.1651 120/714 [====>.........................] - ETA: 1:21 - loss: 164.1287 - logits_profile_predictions_loss: 163.2369 - logcount_predictions_loss: 0.1651 121/714 [====>.........................] - ETA: 1:21 - loss: 164.1364 - logits_profile_predictions_loss: 163.2447 - logcount_predictions_loss: 0.1651 122/714 [====>.........................] - ETA: 1:21 - loss: 164.1437 - logits_profile_predictions_loss: 163.2520 - logcount_predictions_loss: 0.1651 123/714 [====>.........................] - ETA: 1:21 - 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[==============================] - 103s 145ms/step - loss: 164.3446 - logits_profile_predictions_loss: 163.4216 - logcount_predictions_loss: 0.1709 - val_loss: 172.4306 - val_logits_profile_predictions_loss: 171.4597 - val_logcount_predictions_loss: 0.1798 + +Epoch 00006: val_loss did not improve from 172.42793 +Epoch 7/50 + 1/714 [..............................] - ETA: 1:50 - loss: 163.7842 - logits_profile_predictions_loss: 162.9197 - logcount_predictions_loss: 0.1601 2/714 [..............................] - ETA: 1:44 - loss: 163.2702 - logits_profile_predictions_loss: 162.3721 - logcount_predictions_loss: 0.1663 3/714 [..............................] - ETA: 1:41 - loss: 162.7990 - logits_profile_predictions_loss: 161.8745 - logcount_predictions_loss: 0.1712 4/714 [..............................] - ETA: 1:40 - loss: 163.0743 - logits_profile_predictions_loss: 162.1242 - logcount_predictions_loss: 0.1759 5/714 [..............................] - ETA: 1:39 - loss: 163.4982 - logits_profile_predictions_loss: 162.5194 - logcount_predictions_loss: 0.1813 6/714 [..............................] - ETA: 1:39 - loss: 163.7379 - logits_profile_predictions_loss: 162.7452 - logcount_predictions_loss: 0.1838 7/714 [..............................] - ETA: 1:39 - loss: 164.0488 - logits_profile_predictions_loss: 163.0407 - logcount_predictions_loss: 0.1867 8/714 [..............................] - ETA: 1:38 - loss: 164.0434 - logits_profile_predictions_loss: 163.0306 - logcount_predictions_loss: 0.1876 9/714 [..............................] - ETA: 1:38 - loss: 163.9678 - logits_profile_predictions_loss: 162.9500 - logcount_predictions_loss: 0.1885 10/714 [..............................] - ETA: 1:38 - loss: 163.8147 - logits_profile_predictions_loss: 162.7929 - logcount_predictions_loss: 0.1892 11/714 [..............................] - ETA: 1:38 - loss: 163.6654 - logits_profile_predictions_loss: 162.6411 - logcount_predictions_loss: 0.1897 12/714 [..............................] - ETA: 1:37 - loss: 163.5350 - logits_profile_predictions_loss: 162.5109 - logcount_predictions_loss: 0.1896 13/714 [..............................] - ETA: 1:37 - loss: 163.4226 - logits_profile_predictions_loss: 162.4001 - logcount_predictions_loss: 0.1894 14/714 [..............................] - ETA: 1:37 - loss: 163.2714 - logits_profile_predictions_loss: 162.2495 - logcount_predictions_loss: 0.1892 15/714 [..............................] - ETA: 1:37 - loss: 163.1902 - logits_profile_predictions_loss: 162.1688 - logcount_predictions_loss: 0.1891 16/714 [..............................] - ETA: 1:37 - loss: 163.1687 - logits_profile_predictions_loss: 162.1476 - logcount_predictions_loss: 0.1891 17/714 [..............................] - ETA: 1:37 - loss: 163.1078 - logits_profile_predictions_loss: 162.0877 - logcount_predictions_loss: 0.1889 18/714 [..............................] - ETA: 1:36 - loss: 163.0430 - logits_profile_predictions_loss: 162.0234 - logcount_predictions_loss: 0.1888 19/714 [..............................] - ETA: 1:36 - loss: 162.9950 - logits_profile_predictions_loss: 161.9752 - logcount_predictions_loss: 0.1888 20/714 [..............................] - ETA: 1:36 - loss: 162.9392 - logits_profile_predictions_loss: 161.9197 - logcount_predictions_loss: 0.1888 21/714 [..............................] - ETA: 1:36 - loss: 162.8985 - logits_profile_predictions_loss: 161.8799 - logcount_predictions_loss: 0.1886 22/714 [..............................] - ETA: 1:36 - loss: 162.8498 - logits_profile_predictions_loss: 161.8326 - logcount_predictions_loss: 0.1884 23/714 [..............................] - ETA: 1:36 - loss: 162.7890 - logits_profile_predictions_loss: 161.7734 - logcount_predictions_loss: 0.1881 24/714 [>.............................] - ETA: 1:35 - loss: 162.7145 - logits_profile_predictions_loss: 161.7003 - logcount_predictions_loss: 0.1878 25/714 [>.............................] - ETA: 1:35 - loss: 162.6557 - logits_profile_predictions_loss: 161.6429 - logcount_predictions_loss: 0.1875 26/714 [>.............................] - ETA: 1:35 - loss: 162.6090 - logits_profile_predictions_loss: 161.5978 - logcount_predictions_loss: 0.1873 27/714 [>.............................] - ETA: 1:35 - loss: 162.5586 - logits_profile_predictions_loss: 161.5493 - logcount_predictions_loss: 0.1869 28/714 [>.............................] - ETA: 1:35 - loss: 162.5082 - logits_profile_predictions_loss: 161.5005 - logcount_predictions_loss: 0.1866 29/714 [>.............................] - ETA: 1:35 - loss: 162.4519 - logits_profile_predictions_loss: 161.4459 - logcount_predictions_loss: 0.1863 30/714 [>.............................] - ETA: 1:35 - loss: 162.4021 - logits_profile_predictions_loss: 161.3979 - logcount_predictions_loss: 0.1860 31/714 [>.............................] - ETA: 1:34 - loss: 162.3492 - logits_profile_predictions_loss: 161.3465 - logcount_predictions_loss: 0.1857 32/714 [>.............................] - ETA: 1:34 - loss: 162.2925 - logits_profile_predictions_loss: 161.2913 - logcount_predictions_loss: 0.1854 33/714 [>.............................] - ETA: 1:34 - loss: 162.2439 - logits_profile_predictions_loss: 161.2445 - logcount_predictions_loss: 0.1851 34/714 [>.............................] - ETA: 1:34 - loss: 162.1917 - logits_profile_predictions_loss: 161.1935 - logcount_predictions_loss: 0.1848 35/714 [>.............................] - ETA: 1:34 - loss: 162.1617 - logits_profile_predictions_loss: 161.1650 - logcount_predictions_loss: 0.1846 36/714 [>.............................] - ETA: 1:34 - loss: 162.1381 - logits_profile_predictions_loss: 161.1426 - logcount_predictions_loss: 0.1844 37/714 [>.............................] - ETA: 1:34 - loss: 162.1179 - logits_profile_predictions_loss: 161.1235 - logcount_predictions_loss: 0.1842 38/714 [>.............................] - ETA: 1:33 - loss: 162.0962 - logits_profile_predictions_loss: 161.1031 - logcount_predictions_loss: 0.1839 39/714 [>.............................] - ETA: 1:33 - loss: 162.0742 - logits_profile_predictions_loss: 161.0821 - logcount_predictions_loss: 0.1837 40/714 [>.............................] - ETA: 1:33 - loss: 162.0521 - logits_profile_predictions_loss: 161.0611 - logcount_predictions_loss: 0.1835 41/714 [>.............................] - ETA: 1:33 - loss: 162.0283 - logits_profile_predictions_loss: 161.0384 - logcount_predictions_loss: 0.1833 42/714 [>.............................] - ETA: 1:33 - loss: 162.0093 - logits_profile_predictions_loss: 161.0207 - logcount_predictions_loss: 0.1831 43/714 [>.............................] - ETA: 1:33 - loss: 161.9896 - logits_profile_predictions_loss: 161.0021 - logcount_predictions_loss: 0.1829 44/714 [>.............................] - ETA: 1:33 - loss: 161.9650 - logits_profile_predictions_loss: 160.9786 - logcount_predictions_loss: 0.1827 45/714 [>.............................] - ETA: 1:32 - loss: 161.9351 - logits_profile_predictions_loss: 160.9495 - logcount_predictions_loss: 0.1825 46/714 [>.............................] - ETA: 1:32 - loss: 161.9090 - logits_profile_predictions_loss: 160.9240 - logcount_predictions_loss: 0.1824 47/714 [>.............................] - ETA: 1:32 - loss: 161.8837 - logits_profile_predictions_loss: 160.8993 - logcount_predictions_loss: 0.1823 48/714 [=>............................] - ETA: 1:32 - loss: 161.8574 - logits_profile_predictions_loss: 160.8737 - logcount_predictions_loss: 0.1822 49/714 [=>............................] - ETA: 1:32 - loss: 161.8283 - logits_profile_predictions_loss: 160.8454 - logcount_predictions_loss: 0.1820 50/714 [=>............................] - ETA: 1:32 - loss: 161.8007 - logits_profile_predictions_loss: 160.8185 - logcount_predictions_loss: 0.1819 51/714 [=>............................] - ETA: 1:32 - loss: 161.7795 - logits_profile_predictions_loss: 160.7981 - logcount_predictions_loss: 0.1817 52/714 [=>............................] - ETA: 1:31 - loss: 161.7572 - logits_profile_predictions_loss: 160.7766 - logcount_predictions_loss: 0.1816 53/714 [=>............................] - ETA: 1:31 - loss: 161.7360 - logits_profile_predictions_loss: 160.7559 - logcount_predictions_loss: 0.1815 54/714 [=>............................] - ETA: 1:31 - loss: 161.7169 - logits_profile_predictions_loss: 160.7375 - logcount_predictions_loss: 0.1814 55/714 [=>............................] - ETA: 1:31 - loss: 161.6968 - logits_profile_predictions_loss: 160.7181 - logcount_predictions_loss: 0.1812 56/714 [=>............................] - ETA: 1:31 - loss: 161.6808 - logits_profile_predictions_loss: 160.7029 - logcount_predictions_loss: 0.1811 57/714 [=>............................] - ETA: 1:31 - loss: 161.6645 - logits_profile_predictions_loss: 160.6873 - logcount_predictions_loss: 0.1810 58/714 [=>............................] - ETA: 1:31 - loss: 161.6488 - logits_profile_predictions_loss: 160.6725 - logcount_predictions_loss: 0.1808 59/714 [=>............................] - ETA: 1:30 - loss: 161.6347 - logits_profile_predictions_loss: 160.6592 - logcount_predictions_loss: 0.1807 60/714 [=>............................] - ETA: 1:30 - loss: 161.6187 - logits_profile_predictions_loss: 160.6441 - logcount_predictions_loss: 0.1805 61/714 [=>............................] - ETA: 1:30 - loss: 161.6069 - logits_profile_predictions_loss: 160.6332 - logcount_predictions_loss: 0.1803 62/714 [=>............................] - ETA: 1:30 - loss: 161.5931 - logits_profile_predictions_loss: 160.6203 - logcount_predictions_loss: 0.1801 63/714 [=>............................] - ETA: 1:30 - loss: 161.5798 - logits_profile_predictions_loss: 160.6080 - logcount_predictions_loss: 0.1800 64/714 [=>............................] - ETA: 1:30 - loss: 161.5685 - logits_profile_predictions_loss: 160.5975 - logcount_predictions_loss: 0.1798 65/714 [=>............................] - ETA: 1:30 - loss: 161.5581 - logits_profile_predictions_loss: 160.5880 - logcount_predictions_loss: 0.1796 66/714 [=>............................] - ETA: 1:29 - loss: 161.5474 - logits_profile_predictions_loss: 160.5782 - logcount_predictions_loss: 0.1795 67/714 [=>............................] - ETA: 1:29 - loss: 161.5368 - logits_profile_predictions_loss: 160.5684 - logcount_predictions_loss: 0.1793 68/714 [=>............................] - ETA: 1:29 - loss: 161.5311 - logits_profile_predictions_loss: 160.5633 - logcount_predictions_loss: 0.1792 69/714 [=>............................] - ETA: 1:29 - loss: 161.5242 - logits_profile_predictions_loss: 160.5571 - logcount_predictions_loss: 0.1791 70/714 [=>............................] - ETA: 1:29 - loss: 161.5224 - logits_profile_predictions_loss: 160.5560 - logcount_predictions_loss: 0.1790 71/714 [=>............................] - ETA: 1:29 - loss: 161.5207 - logits_profile_predictions_loss: 160.5549 - logcount_predictions_loss: 0.1789 72/714 [==>...........................] - ETA: 1:29 - loss: 161.5174 - logits_profile_predictions_loss: 160.5520 - logcount_predictions_loss: 0.1788 73/714 [==>...........................] - ETA: 1:29 - loss: 161.5147 - logits_profile_predictions_loss: 160.5499 - logcount_predictions_loss: 0.1787 74/714 [==>...........................] - ETA: 1:28 - loss: 161.5139 - logits_profile_predictions_loss: 160.5497 - logcount_predictions_loss: 0.1786 75/714 [==>...........................] - ETA: 1:28 - loss: 161.5125 - logits_profile_predictions_loss: 160.5489 - logcount_predictions_loss: 0.1785 76/714 [==>...........................] - ETA: 1:28 - loss: 161.5108 - logits_profile_predictions_loss: 160.5477 - logcount_predictions_loss: 0.1784 77/714 [==>...........................] - ETA: 1:28 - loss: 161.5128 - logits_profile_predictions_loss: 160.5503 - logcount_predictions_loss: 0.1782 78/714 [==>...........................] - ETA: 1:28 - loss: 161.5148 - logits_profile_predictions_loss: 160.5529 - logcount_predictions_loss: 0.1781 79/714 [==>...........................] - ETA: 1:28 - loss: 161.5182 - logits_profile_predictions_loss: 160.5568 - logcount_predictions_loss: 0.1780 80/714 [==>...........................] - ETA: 1:28 - loss: 161.5239 - logits_profile_predictions_loss: 160.5632 - logcount_predictions_loss: 0.1779 81/714 [==>...........................] - ETA: 1:27 - loss: 161.5305 - logits_profile_predictions_loss: 160.5704 - logcount_predictions_loss: 0.1778 82/714 [==>...........................] - ETA: 1:27 - loss: 161.5365 - logits_profile_predictions_loss: 160.5769 - logcount_predictions_loss: 0.1777 83/714 [==>...........................] - ETA: 1:27 - loss: 161.5448 - logits_profile_predictions_loss: 160.5858 - logcount_predictions_loss: 0.1776 84/714 [==>...........................] - ETA: 1:27 - loss: 161.5525 - logits_profile_predictions_loss: 160.5940 - logcount_predictions_loss: 0.1775 85/714 [==>...........................] - ETA: 1:27 - loss: 161.5594 - logits_profile_predictions_loss: 160.6014 - logcount_predictions_loss: 0.1774 86/714 [==>...........................] - ETA: 1:27 - loss: 161.5652 - logits_profile_predictions_loss: 160.6076 - logcount_predictions_loss: 0.1773 87/714 [==>...........................] - ETA: 1:27 - loss: 161.5702 - logits_profile_predictions_loss: 160.6130 - logcount_predictions_loss: 0.1773 88/714 [==>...........................] - ETA: 1:26 - loss: 161.5773 - logits_profile_predictions_loss: 160.6205 - logcount_predictions_loss: 0.1772 89/714 [==>...........................] - ETA: 1:26 - loss: 161.5829 - logits_profile_predictions_loss: 160.6264 - logcount_predictions_loss: 0.1771 90/714 [==>...........................] - ETA: 1:26 - loss: 161.5879 - logits_profile_predictions_loss: 160.6317 - logcount_predictions_loss: 0.1771 91/714 [==>...........................] - ETA: 1:26 - loss: 161.5923 - logits_profile_predictions_loss: 160.6365 - logcount_predictions_loss: 0.1770 92/714 [==>...........................] - ETA: 1:26 - loss: 161.5956 - logits_profile_predictions_loss: 160.6401 - logcount_predictions_loss: 0.1769 93/714 [==>...........................] - ETA: 1:26 - loss: 161.6002 - logits_profile_predictions_loss: 160.6451 - logcount_predictions_loss: 0.1769 94/714 [==>...........................] - ETA: 1:26 - loss: 161.6054 - logits_profile_predictions_loss: 160.6505 - logcount_predictions_loss: 0.1768 95/714 [==>...........................] - ETA: 1:26 - loss: 161.6087 - logits_profile_predictions_loss: 160.6541 - logcount_predictions_loss: 0.1768 96/714 [===>..........................] - ETA: 1:25 - loss: 161.6103 - logits_profile_predictions_loss: 160.6560 - logcount_predictions_loss: 0.1767 97/714 [===>..........................] - ETA: 1:25 - loss: 161.6120 - logits_profile_predictions_loss: 160.6579 - logcount_predictions_loss: 0.1767 98/714 [===>..........................] - ETA: 1:25 - loss: 161.6144 - logits_profile_predictions_loss: 160.6606 - logcount_predictions_loss: 0.1766 99/714 [===>..........................] - ETA: 1:25 - loss: 161.6176 - logits_profile_predictions_loss: 160.6640 - logcount_predictions_loss: 0.1766 100/714 [===>..........................] - ETA: 1:25 - loss: 161.6206 - logits_profile_predictions_loss: 160.6672 - logcount_predictions_loss: 0.1766 101/714 [===>..........................] - ETA: 1:25 - loss: 161.6226 - logits_profile_predictions_loss: 160.6694 - logcount_predictions_loss: 0.1765 102/714 [===>..........................] - ETA: 1:25 - loss: 161.6250 - logits_profile_predictions_loss: 160.6720 - logcount_predictions_loss: 0.1765 103/714 [===>..........................] - ETA: 1:24 - loss: 161.6281 - logits_profile_predictions_loss: 160.6754 - logcount_predictions_loss: 0.1764 104/714 [===>..........................] - ETA: 1:24 - loss: 161.6301 - logits_profile_predictions_loss: 160.6776 - logcount_predictions_loss: 0.1764 105/714 [===>..........................] - ETA: 1:24 - loss: 161.6323 - logits_profile_predictions_loss: 160.6800 - logcount_predictions_loss: 0.1763 106/714 [===>..........................] - ETA: 1:24 - loss: 161.6348 - logits_profile_predictions_loss: 160.6828 - logcount_predictions_loss: 0.1763 107/714 [===>..........................] - ETA: 1:24 - loss: 161.6389 - logits_profile_predictions_loss: 160.6871 - logcount_predictions_loss: 0.1763 108/714 [===>..........................] - ETA: 1:24 - loss: 161.6432 - logits_profile_predictions_loss: 160.6916 - logcount_predictions_loss: 0.1762 109/714 [===>..........................] - ETA: 1:24 - loss: 161.6481 - logits_profile_predictions_loss: 160.6967 - logcount_predictions_loss: 0.1762 110/714 [===>..........................] - ETA: 1:23 - loss: 161.6534 - logits_profile_predictions_loss: 160.7023 - logcount_predictions_loss: 0.1761 111/714 [===>..........................] - ETA: 1:23 - loss: 161.6606 - logits_profile_predictions_loss: 160.7097 - logcount_predictions_loss: 0.1761 112/714 [===>..........................] - ETA: 1:23 - loss: 161.6690 - logits_profile_predictions_loss: 160.7183 - logcount_predictions_loss: 0.1760 113/714 [===>..........................] - ETA: 1:23 - loss: 161.6773 - logits_profile_predictions_loss: 160.7269 - logcount_predictions_loss: 0.1760 114/714 [===>..........................] - ETA: 1:23 - loss: 161.6853 - logits_profile_predictions_loss: 160.7351 - logcount_predictions_loss: 0.1760 115/714 [===>..........................] - ETA: 1:23 - loss: 161.6931 - logits_profile_predictions_loss: 160.7431 - logcount_predictions_loss: 0.1759 116/714 [===>..........................] - ETA: 1:23 - loss: 161.7010 - logits_profile_predictions_loss: 160.7512 - logcount_predictions_loss: 0.1759 117/714 [===>..........................] - ETA: 1:22 - loss: 161.7096 - logits_profile_predictions_loss: 160.7600 - logcount_predictions_loss: 0.1759 118/714 [===>..........................] - ETA: 1:22 - loss: 161.7183 - logits_profile_predictions_loss: 160.7689 - logcount_predictions_loss: 0.1758 119/714 [====>.........................] - ETA: 1:22 - loss: 161.7278 - logits_profile_predictions_loss: 160.7785 - logcount_predictions_loss: 0.1758 120/714 [====>.........................] - ETA: 1:22 - loss: 161.7362 - logits_profile_predictions_loss: 160.7871 - logcount_predictions_loss: 0.1758 121/714 [====>.........................] - ETA: 1:22 - loss: 161.7458 - logits_profile_predictions_loss: 160.7969 - logcount_predictions_loss: 0.1757 122/714 [====>.........................] - ETA: 1:22 - loss: 161.7544 - logits_profile_predictions_loss: 160.8056 - logcount_predictions_loss: 0.1757 123/714 [====>.........................] - ETA: 1:22 - loss: 161.7628 - logits_profile_predictions_loss: 160.8142 - logcount_predictions_loss: 0.1757 124/714 [====>.........................] - ETA: 1:21 - loss: 161.7705 - logits_profile_predictions_loss: 160.8221 - logcount_predictions_loss: 0.1756 125/714 [====>.........................] - ETA: 1:21 - loss: 161.7783 - logits_profile_predictions_loss: 160.8300 - logcount_predictions_loss: 0.1756 126/714 [====>.........................] - ETA: 1:21 - loss: 161.7861 - logits_profile_predictions_loss: 160.8380 - logcount_predictions_loss: 0.1756 127/714 [====>.........................] - ETA: 1:21 - loss: 161.7944 - logits_profile_predictions_loss: 160.8464 - logcount_predictions_loss: 0.1756 128/714 [====>.........................] - ETA: 1:21 - loss: 161.8025 - logits_profile_predictions_loss: 160.8546 - logcount_predictions_loss: 0.1755 129/714 [====>.........................] - ETA: 1:21 - loss: 161.8109 - logits_profile_predictions_loss: 160.8632 - logcount_predictions_loss: 0.1755 130/714 [====>.........................] - ETA: 1:21 - loss: 161.8187 - logits_profile_predictions_loss: 160.8712 - logcount_predictions_loss: 0.1755 131/714 [====>.........................] - ETA: 1:20 - loss: 161.8264 - logits_profile_predictions_loss: 160.8790 - logcount_predictions_loss: 0.1754 132/714 [====>.........................] - ETA: 1:20 - loss: 161.8342 - logits_profile_predictions_loss: 160.8869 - logcount_predictions_loss: 0.1754 133/714 [====>.........................] - ETA: 1:20 - loss: 161.8420 - logits_profile_predictions_loss: 160.8948 - logcount_predictions_loss: 0.1754 134/714 [====>.........................] - ETA: 1:20 - loss: 161.8497 - logits_profile_predictions_loss: 160.9027 - logcount_predictions_loss: 0.1754 135/714 [====>.........................] - ETA: 1:20 - loss: 161.8570 - logits_profile_predictions_loss: 160.9102 - logcount_predictions_loss: 0.1753 136/714 [====>.........................] - ETA: 1:20 - loss: 161.8644 - logits_profile_predictions_loss: 160.9176 - logcount_predictions_loss: 0.1753 137/714 [====>.........................] - ETA: 1:20 - loss: 161.8713 - logits_profile_predictions_loss: 160.9246 - logcount_predictions_loss: 0.1753 138/714 [====>.........................] - ETA: 1:19 - loss: 161.8777 - 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[..............................] - ETA: 1:36 - loss: 163.1270 - logits_profile_predictions_loss: 162.3987 - logcount_predictions_loss: 0.1349 21/714 [..............................] - ETA: 1:36 - loss: 163.0367 - logits_profile_predictions_loss: 162.3076 - logcount_predictions_loss: 0.1350 22/714 [..............................] - ETA: 1:36 - loss: 162.9560 - logits_profile_predictions_loss: 162.2262 - logcount_predictions_loss: 0.1351 23/714 [..............................] - ETA: 1:35 - loss: 162.8767 - logits_profile_predictions_loss: 162.1461 - logcount_predictions_loss: 0.1353 24/714 [>.............................] - ETA: 1:35 - loss: 162.8089 - logits_profile_predictions_loss: 162.0775 - logcount_predictions_loss: 0.1355 25/714 [>.............................] - ETA: 1:35 - loss: 162.7487 - logits_profile_predictions_loss: 162.0166 - logcount_predictions_loss: 0.1356 26/714 [>.............................] - ETA: 1:35 - loss: 162.6834 - logits_profile_predictions_loss: 161.9505 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[>.............................] - ETA: 1:33 - loss: 162.0202 - logits_profile_predictions_loss: 161.2735 - logcount_predictions_loss: 0.1383 41/714 [>.............................] - ETA: 1:33 - loss: 161.9784 - logits_profile_predictions_loss: 161.2309 - logcount_predictions_loss: 0.1384 42/714 [>.............................] - ETA: 1:33 - loss: 161.9387 - logits_profile_predictions_loss: 161.1904 - logcount_predictions_loss: 0.1386 43/714 [>.............................] - ETA: 1:33 - loss: 161.8966 - logits_profile_predictions_loss: 161.1476 - logcount_predictions_loss: 0.1387 44/714 [>.............................] - ETA: 1:32 - loss: 161.8593 - logits_profile_predictions_loss: 161.1097 - logcount_predictions_loss: 0.1388 45/714 [>.............................] - ETA: 1:32 - loss: 161.8244 - logits_profile_predictions_loss: 161.0742 - logcount_predictions_loss: 0.1389 46/714 [>.............................] - ETA: 1:32 - loss: 161.7916 - logits_profile_predictions_loss: 161.0407 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logits_profile_predictions_loss: 157.6802 - logcount_predictions_loss: 0.1399 650/714 [==========================>...] - ETA: 8s - loss: 158.4348 - logits_profile_predictions_loss: 157.6796 - logcount_predictions_loss: 0.1399 651/714 [==========================>...] - ETA: 8s - loss: 158.4342 - logits_profile_predictions_loss: 157.6789 - logcount_predictions_loss: 0.1399 652/714 [==========================>...] - ETA: 8s - loss: 158.4336 - logits_profile_predictions_loss: 157.6783 - logcount_predictions_loss: 0.1399 653/714 [==========================>...] - ETA: 8s - loss: 158.4330 - logits_profile_predictions_loss: 157.6777 - logcount_predictions_loss: 0.1399 654/714 [==========================>...] - ETA: 8s - loss: 158.4324 - logits_profile_predictions_loss: 157.6771 - logcount_predictions_loss: 0.1399 655/714 [==========================>...] - ETA: 8s - loss: 158.4318 - logits_profile_predictions_loss: 157.6764 - logcount_predictions_loss: 0.1399 656/714 [==========================>...] - ETA: 8s - loss: 158.4311 - logits_profile_predictions_loss: 157.6758 - logcount_predictions_loss: 0.1399 657/714 [==========================>...] - ETA: 7s - loss: 158.4305 - logits_profile_predictions_loss: 157.6752 - logcount_predictions_loss: 0.1399 658/714 [==========================>...] - ETA: 7s - loss: 158.4299 - logits_profile_predictions_loss: 157.6746 - logcount_predictions_loss: 0.1399 659/714 [==========================>...] - ETA: 7s - loss: 158.4293 - logits_profile_predictions_loss: 157.6740 - logcount_predictions_loss: 0.1399 660/714 [==========================>...] - ETA: 7s - loss: 158.4287 - logits_profile_predictions_loss: 157.6734 - logcount_predictions_loss: 0.1399 661/714 [==========================>...] - ETA: 7s - loss: 158.4281 - logits_profile_predictions_loss: 157.6727 - logcount_predictions_loss: 0.1399 662/714 [==========================>...] - ETA: 7s - loss: 158.4276 - logits_profile_predictions_loss: 157.6721 - logcount_predictions_loss: 0.1399 663/714 [==========================>...] - ETA: 7s - loss: 158.4270 - logits_profile_predictions_loss: 157.6716 - logcount_predictions_loss: 0.1399 664/714 [==========================>...] - ETA: 6s - loss: 158.4264 - logits_profile_predictions_loss: 157.6710 - logcount_predictions_loss: 0.1399 665/714 [==========================>...] - ETA: 6s - loss: 158.4258 - logits_profile_predictions_loss: 157.6703 - logcount_predictions_loss: 0.1399 666/714 [==========================>...] - ETA: 6s - loss: 158.4252 - logits_profile_predictions_loss: 157.6697 - logcount_predictions_loss: 0.1399 667/714 [===========================>..] - ETA: 6s - loss: 158.4247 - logits_profile_predictions_loss: 157.6692 - logcount_predictions_loss: 0.1399 668/714 [===========================>..] - ETA: 6s - loss: 158.4241 - logits_profile_predictions_loss: 157.6686 - logcount_predictions_loss: 0.1399 669/714 [===========================>..] - ETA: 6s - loss: 158.4235 - logits_profile_predictions_loss: 157.6680 - logcount_predictions_loss: 0.1399 670/714 [===========================>..] - ETA: 6s - loss: 158.4230 - logits_profile_predictions_loss: 157.6675 - logcount_predictions_loss: 0.1399 671/714 [===========================>..] - ETA: 5s - loss: 158.4225 - logits_profile_predictions_loss: 157.6669 - logcount_predictions_loss: 0.1399 672/714 [===========================>..] - ETA: 5s - loss: 158.4219 - logits_profile_predictions_loss: 157.6664 - logcount_predictions_loss: 0.1399 673/714 [===========================>..] - ETA: 5s - loss: 158.4214 - logits_profile_predictions_loss: 157.6658 - logcount_predictions_loss: 0.1399 674/714 [===========================>..] - ETA: 5s - loss: 158.4209 - logits_profile_predictions_loss: 157.6653 - logcount_predictions_loss: 0.1399 675/714 [===========================>..] - ETA: 5s - loss: 158.4203 - logits_profile_predictions_loss: 157.6647 - logcount_predictions_loss: 0.1399 676/714 [===========================>..] - ETA: 5s - loss: 158.4197 - logits_profile_predictions_loss: 157.6641 - logcount_predictions_loss: 0.1399 677/714 [===========================>..] - ETA: 5s - loss: 158.4192 - logits_profile_predictions_loss: 157.6635 - logcount_predictions_loss: 0.1399 678/714 [===========================>..] - ETA: 5s - loss: 158.4186 - logits_profile_predictions_loss: 157.6629 - logcount_predictions_loss: 0.1399 679/714 [===========================>..] - ETA: 4s - loss: 158.4180 - logits_profile_predictions_loss: 157.6623 - logcount_predictions_loss: 0.1399 680/714 [===========================>..] - ETA: 4s - loss: 158.4174 - logits_profile_predictions_loss: 157.6618 - logcount_predictions_loss: 0.1399 681/714 [===========================>..] - ETA: 4s - loss: 158.4169 - logits_profile_predictions_loss: 157.6612 - logcount_predictions_loss: 0.1400 682/714 [===========================>..] - ETA: 4s - loss: 158.4163 - logits_profile_predictions_loss: 157.6606 - logcount_predictions_loss: 0.1400 683/714 [===========================>..] - ETA: 4s - loss: 158.4157 - logits_profile_predictions_loss: 157.6600 - logcount_predictions_loss: 0.1400 684/714 [===========================>..] - ETA: 4s - loss: 158.4151 - logits_profile_predictions_loss: 157.6594 - logcount_predictions_loss: 0.1400 685/714 [===========================>..] - ETA: 4s - loss: 158.4146 - logits_profile_predictions_loss: 157.6588 - logcount_predictions_loss: 0.1400 686/714 [===========================>..] - ETA: 3s - loss: 158.4140 - logits_profile_predictions_loss: 157.6582 - logcount_predictions_loss: 0.1400 687/714 [===========================>..] - ETA: 3s - loss: 158.4134 - logits_profile_predictions_loss: 157.6576 - logcount_predictions_loss: 0.1400 688/714 [===========================>..] - ETA: 3s - loss: 158.4128 - logits_profile_predictions_loss: 157.6570 - logcount_predictions_loss: 0.1400 689/714 [===========================>..] - ETA: 3s - loss: 158.4122 - logits_profile_predictions_loss: 157.6564 - logcount_predictions_loss: 0.1400 690/714 [===========================>..] - ETA: 3s - loss: 158.4115 - logits_profile_predictions_loss: 157.6557 - logcount_predictions_loss: 0.1400 691/714 [============================>.] - ETA: 3s - loss: 158.4109 - logits_profile_predictions_loss: 157.6551 - logcount_predictions_loss: 0.1400 692/714 [============================>.] - ETA: 3s - loss: 158.4103 - logits_profile_predictions_loss: 157.6545 - logcount_predictions_loss: 0.1400 693/714 [============================>.] - ETA: 2s - loss: 158.4097 - logits_profile_predictions_loss: 157.6539 - logcount_predictions_loss: 0.1400 694/714 [============================>.] - ETA: 2s - loss: 158.4091 - logits_profile_predictions_loss: 157.6532 - logcount_predictions_loss: 0.1400 695/714 [============================>.] - ETA: 2s - loss: 158.4085 - logits_profile_predictions_loss: 157.6526 - logcount_predictions_loss: 0.1400 696/714 [============================>.] - ETA: 2s - loss: 158.4078 - logits_profile_predictions_loss: 157.6520 - logcount_predictions_loss: 0.1400 697/714 [============================>.] - ETA: 2s - loss: 158.4072 - logits_profile_predictions_loss: 157.6513 - logcount_predictions_loss: 0.1400 698/714 [============================>.] - ETA: 2s - loss: 158.4066 - logits_profile_predictions_loss: 157.6507 - logcount_predictions_loss: 0.1400 699/714 [============================>.] - ETA: 2s - loss: 158.4060 - logits_profile_predictions_loss: 157.6501 - logcount_predictions_loss: 0.1400 700/714 [============================>.] - ETA: 1s - loss: 158.4054 - logits_profile_predictions_loss: 157.6494 - logcount_predictions_loss: 0.1400 701/714 [============================>.] - ETA: 1s - loss: 158.4047 - logits_profile_predictions_loss: 157.6488 - logcount_predictions_loss: 0.1400 702/714 [============================>.] - ETA: 1s - loss: 158.4041 - logits_profile_predictions_loss: 157.6481 - logcount_predictions_loss: 0.1400 703/714 [============================>.] - ETA: 1s - loss: 158.4035 - logits_profile_predictions_loss: 157.6475 - logcount_predictions_loss: 0.1400 704/714 [============================>.] - ETA: 1s - loss: 158.4028 - logits_profile_predictions_loss: 157.6468 - logcount_predictions_loss: 0.1400 705/714 [============================>.] - ETA: 1s - loss: 158.4021 - logits_profile_predictions_loss: 157.6461 - logcount_predictions_loss: 0.1400 706/714 [============================>.] - ETA: 1s - loss: 158.4015 - logits_profile_predictions_loss: 157.6455 - logcount_predictions_loss: 0.1400 707/714 [============================>.] - ETA: 0s - loss: 158.4009 - logits_profile_predictions_loss: 157.6448 - logcount_predictions_loss: 0.1400 708/714 [============================>.] - ETA: 0s - loss: 158.4002 - logits_profile_predictions_loss: 157.6442 - logcount_predictions_loss: 0.1400 709/714 [============================>.] - ETA: 0s - loss: 158.3996 - logits_profile_predictions_loss: 157.6436 - logcount_predictions_loss: 0.1400 710/714 [============================>.] - ETA: 0s - loss: 158.3990 - logits_profile_predictions_loss: 157.6429 - logcount_predictions_loss: 0.1400 711/714 [============================>.] - ETA: 0s - loss: 158.3983 - logits_profile_predictions_loss: 157.6423 - logcount_predictions_loss: 0.1400 712/714 [============================>.] - ETA: 0s - loss: 158.3977 - logits_profile_predictions_loss: 157.6416 - logcount_predictions_loss: 0.1400 713/714 [============================>.] - ETA: 0s - loss: 158.3970 - logits_profile_predictions_loss: 157.6409 - logcount_predictions_loss: 0.1400 714/714 [==============================] - ETA: 0s - loss: 158.3963 - logits_profile_predictions_loss: 157.6402 - logcount_predictions_loss: 0.1400 714/714 [==============================] - 104s 145ms/step - loss: 158.3957 - logits_profile_predictions_loss: 157.6395 - logcount_predictions_loss: 0.1400 - val_loss: 174.7459 - val_logits_profile_predictions_loss: 173.9135 - val_logcount_predictions_loss: 0.1542 + +Epoch 00013: val_loss did not improve from 172.20396 +Restoring model weights from the end of the best epoch. +Epoch 00013: early stopping +save model +save model without bias +2022-09-22_23-23-50: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(10669, 10) +loading nonpeaks... +got split:test for bed regions:(9297, 10) +0/78 +2022-09-22_23-24-50: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(10669, 10) +loading nonpeaks... +got split:test for bed regions:(9297, 10) +0/78 +2022-09-22_23-25-43: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_2//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(10669, 10) +loading nonpeaks... +got split:test for bed regions:(9297, 10) +0/78 +2022-09-22_23-26-18: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_23-26-18: 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/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:00 3/11 [=======>......................] - ETA: 2s  4/11 [=========>....................] - ETA: 2s 5/11 [============>.................] - ETA: 2s 6/11 [===============>..............] - ETA: 2s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 15s 899ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +Saving marginal footprints +2022-09-22_23-27-41: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_23-27-41: 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/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 25s 3/11 [=======>......................] - ETA: 0s  5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 3s 77ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +Saving marginal footprints diff --git a/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stdout_v1.txt b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7df2a4777bffea6cbd3a71fd809a9165af179f26 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR609GST/logfile.modelling.fold_2.ENCSR609GST.stdout_v1.txt @@ -0,0 +1,451 @@ +2022-09-22_22-57-36: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 46004 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 46004 +Number of peaks input: 10669 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 10669 +Number of non peaks input: 47375 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 47375 +Number of non peaks input: 9297 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 9297 +Number of peaks after removing outliers: 45497 +Number of nonpeaks after removing outliers: 41604 +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 + 1/1301 [..............................] - ETA: 4:37:30 12/1301 [..............................] - ETA: 5s  23/1301 [..............................] - ETA: 5s 35/1301 [..............................] - ETA: 5s 47/1301 [>.............................] - ETA: 5s 59/1301 [>.............................] - ETA: 5s 71/1301 [>.............................] - ETA: 5s 83/1301 [>.............................] - ETA: 5s 95/1301 [=>............................] - ETA: 5s 107/1301 [=>............................] - ETA: 5s 119/1301 [=>............................] - ETA: 5s 131/1301 [==>...........................] - ETA: 5s 143/1301 [==>...........................] - ETA: 5s 155/1301 [==>...........................] - ETA: 5s 167/1301 [==>...........................] - ETA: 5s 179/1301 [===>..........................] - ETA: 4s 191/1301 [===>..........................] - ETA: 4s 203/1301 [===>..........................] - ETA: 4s 215/1301 [===>..........................] - ETA: 4s 227/1301 [====>.........................] - ETA: 4s 239/1301 [====>.........................] - ETA: 4s 251/1301 [====>.........................] - ETA: 4s 263/1301 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[====================>.........] - ETA: 1s 959/1301 [=====================>........] - ETA: 1s 971/1301 [=====================>........] - ETA: 1s 983/1301 [=====================>........] - ETA: 1s 995/1301 [=====================>........] - ETA: 1s 1007/1301 [======================>.......] - ETA: 1s 1019/1301 [======================>.......] - ETA: 1s 1031/1301 [======================>.......] - ETA: 1s 1043/1301 [=======================>......] - ETA: 1s 1055/1301 [=======================>......] - ETA: 1s 1067/1301 [=======================>......] - ETA: 1s 1079/1301 [=======================>......] - ETA: 0s 1091/1301 [========================>.....] - ETA: 0s 1103/1301 [========================>.....] - ETA: 0s 1115/1301 [========================>.....] - ETA: 0s 1127/1301 [========================>.....] - ETA: 0s 1139/1301 [=========================>....] - ETA: 0s 1151/1301 [=========================>....] - ETA: 0s 1163/1301 [=========================>....] - ETA: 0s 1175/1301 [==========================>...] - ETA: 0s 1187/1301 [==========================>...] - ETA: 0s 1199/1301 [==========================>...] - ETA: 0s 1211/1301 [==========================>...] - ETA: 0s 1223/1301 [===========================>..] - ETA: 0s 1235/1301 [===========================>..] - ETA: 0s 1247/1301 [===========================>..] - ETA: 0s 1259/1301 [============================>.] - ETA: 0s 1271/1301 [============================>.] - ETA: 0s 1283/1301 [============================>.] - ETA: 0s 1295/1301 [============================>.] - ETA: 0s 1301/1301 [==============================] - ETA: 0s 1301/1301 [==============================] - 19s 4ms/step +2022-09-22_22-59-32: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(41486, 10) +loading nonpeaks... +got split:train for bed regions:(37407, 10) +loading peaks... +got split:valid for bed regions:(4011, 10) +loading nonpeaks... +got split:valid for bed regions:(4197, 10) +Epoch 1/50 + 1/714 [..............................] - ETA: 1:08:34 - loss: 163.8323 - logits_profile_predictions_loss: 159.3853 - logcount_predictions_loss: 0.8235 2/714 [..............................] - ETA: 1:40 - loss: 709.1711 - logits_profile_predictions_loss: 163.1867 - logcount_predictions_loss: 101.1082  3/714 [..............................] - ETA: 1:39 - loss: 771.5947 - logits_profile_predictions_loss: 165.1532 - logcount_predictions_loss: 112.3040 4/714 [..............................] - ETA: 1:39 - loss: 756.1761 - logits_profile_predictions_loss: 164.7114 - logcount_predictions_loss: 109.5305 5/714 [..............................] - ETA: 1:38 - loss: 725.7647 - logits_profile_predictions_loss: 164.8891 - logcount_predictions_loss: 103.8659 6/714 [..............................] - ETA: 1:38 - loss: 693.3391 - logits_profile_predictions_loss: 164.8722 - logcount_predictions_loss: 97.8643  7/714 [..............................] - ETA: 1:38 - loss: 662.6571 - logits_profile_predictions_loss: 164.7209 - logcount_predictions_loss: 92.2104 8/714 [..............................] - ETA: 1:38 - loss: 634.7927 - logits_profile_predictions_loss: 164.5837 - logcount_predictions_loss: 87.0757 9/714 [..............................] - ETA: 1:38 - loss: 609.8321 - logits_profile_predictions_loss: 164.5254 - logcount_predictions_loss: 82.4642 10/714 [..............................] - ETA: 1:38 - loss: 587.5363 - logits_profile_predictions_loss: 164.5481 - logcount_predictions_loss: 78.3312 11/714 [..............................] - ETA: 1:37 - loss: 567.4408 - logits_profile_predictions_loss: 164.5050 - logcount_predictions_loss: 74.6178 12/714 [..............................] - ETA: 1:37 - loss: 549.2620 - logits_profile_predictions_loss: 164.4053 - logcount_predictions_loss: 71.2698 13/714 [..............................] - ETA: 1:37 - loss: 532.8148 - logits_profile_predictions_loss: 164.3221 - logcount_predictions_loss: 68.2394 14/714 [..............................] - ETA: 1:37 - loss: 517.8963 - logits_profile_predictions_loss: 164.2785 - logcount_predictions_loss: 65.4848 15/714 [..............................] - ETA: 1:37 - loss: 504.3428 - logits_profile_predictions_loss: 164.2971 - logcount_predictions_loss: 62.9714 16/714 [..............................] - ETA: 1:37 - loss: 491.9835 - logits_profile_predictions_loss: 164.3762 - logcount_predictions_loss: 60.6680 17/714 [..............................] - ETA: 1:37 - loss: 480.6325 - logits_profile_predictions_loss: 164.4650 - logcount_predictions_loss: 58.5496 18/714 [..............................] - ETA: 1:36 - loss: 470.1832 - logits_profile_predictions_loss: 164.5774 - logcount_predictions_loss: 56.5937 19/714 [..............................] - ETA: 1:36 - loss: 460.5792 - logits_profile_predictions_loss: 164.7487 - logcount_predictions_loss: 54.7834 20/714 [..............................] - ETA: 1:36 - loss: 451.6587 - logits_profile_predictions_loss: 164.9089 - logcount_predictions_loss: 53.1018 21/714 [..............................] - ETA: 1:36 - loss: 443.3344 - logits_profile_predictions_loss: 165.0482 - logcount_predictions_loss: 51.5345 22/714 [..............................] - ETA: 1:36 - loss: 435.5443 - logits_profile_predictions_loss: 165.1663 - logcount_predictions_loss: 50.0700 23/714 [..............................] - ETA: 1:36 - loss: 428.2555 - logits_profile_predictions_loss: 165.2829 - logcount_predictions_loss: 48.6986 24/714 [>.............................] - ETA: 1:36 - loss: 421.4141 - logits_profile_predictions_loss: 165.3924 - logcount_predictions_loss: 47.4114 25/714 [>.............................] - ETA: 1:35 - loss: 414.9949 - logits_profile_predictions_loss: 165.5093 - logcount_predictions_loss: 46.2010 26/714 [>.............................] - ETA: 1:35 - loss: 408.9622 - logits_profile_predictions_loss: 165.6381 - logcount_predictions_loss: 45.0600 27/714 [>.............................] - ETA: 1:35 - loss: 403.2409 - logits_profile_predictions_loss: 165.7368 - logcount_predictions_loss: 43.9823 28/714 [>.............................] - ETA: 1:35 - loss: 397.8292 - logits_profile_predictions_loss: 165.8313 - logcount_predictions_loss: 42.9626 29/714 [>.............................] - ETA: 1:35 - loss: 392.7188 - logits_profile_predictions_loss: 165.9373 - logcount_predictions_loss: 41.9966 30/714 [>.............................] - ETA: 1:35 - loss: 387.8611 - logits_profile_predictions_loss: 166.0314 - logcount_predictions_loss: 41.0796 31/714 [>.............................] - ETA: 1:35 - loss: 383.2445 - logits_profile_predictions_loss: 166.1218 - logcount_predictions_loss: 40.2079 32/714 [>.............................] - ETA: 1:34 - loss: 378.8518 - logits_profile_predictions_loss: 166.2094 - logcount_predictions_loss: 39.3782 33/714 [>.............................] - ETA: 1:34 - loss: 374.6502 - logits_profile_predictions_loss: 166.2796 - logcount_predictions_loss: 38.5871 34/714 [>.............................] - ETA: 1:34 - loss: 370.6285 - logits_profile_predictions_loss: 166.3361 - logcount_predictions_loss: 37.8319 35/714 [>.............................] - ETA: 1:34 - loss: 366.7906 - logits_profile_predictions_loss: 166.3945 - logcount_predictions_loss: 37.1104 36/714 [>.............................] - ETA: 1:34 - loss: 363.1114 - logits_profile_predictions_loss: 166.4436 - logcount_predictions_loss: 36.4200 37/714 [>.............................] - ETA: 1:34 - loss: 359.5958 - logits_profile_predictions_loss: 166.4978 - logcount_predictions_loss: 35.7589 38/714 [>.............................] - ETA: 1:34 - loss: 356.2192 - logits_profile_predictions_loss: 166.5442 - logcount_predictions_loss: 35.1250 39/714 [>.............................] - ETA: 1:33 - loss: 352.9802 - logits_profile_predictions_loss: 166.5895 - logcount_predictions_loss: 34.5168 40/714 [>.............................] - ETA: 1:33 - loss: 349.8687 - logits_profile_predictions_loss: 166.6327 - logcount_predictions_loss: 33.9326 41/714 [>.............................] - ETA: 1:33 - loss: 346.8804 - logits_profile_predictions_loss: 166.6770 - logcount_predictions_loss: 33.3710 42/714 [>.............................] - ETA: 1:33 - loss: 344.0065 - logits_profile_predictions_loss: 166.7209 - logcount_predictions_loss: 32.8307 43/714 [>.............................] - ETA: 1:33 - loss: 341.2484 - logits_profile_predictions_loss: 166.7720 - logcount_predictions_loss: 32.3105 44/714 [>.............................] - ETA: 1:33 - loss: 338.5879 - logits_profile_predictions_loss: 166.8191 - logcount_predictions_loss: 31.8090 45/714 [>.............................] - ETA: 1:33 - loss: 336.0249 - logits_profile_predictions_loss: 166.8676 - logcount_predictions_loss: 31.3254 46/714 [>.............................] - ETA: 1:33 - loss: 333.5526 - logits_profile_predictions_loss: 166.9156 - logcount_predictions_loss: 30.8587 47/714 [>.............................] - ETA: 1:32 - loss: 331.1636 - logits_profile_predictions_loss: 166.9613 - logcount_predictions_loss: 30.4078 48/714 [=>............................] - ETA: 1:32 - loss: 328.8659 - logits_profile_predictions_loss: 167.0157 - logcount_predictions_loss: 29.9723 49/714 [=>............................] - ETA: 1:32 - loss: 326.6398 - logits_profile_predictions_loss: 167.0648 - logcount_predictions_loss: 29.5509 50/714 [=>............................] - ETA: 1:32 - loss: 324.4905 - logits_profile_predictions_loss: 167.1167 - logcount_predictions_loss: 29.1433 51/714 [=>............................] - ETA: 1:32 - loss: 322.4098 - logits_profile_predictions_loss: 167.1673 - logcount_predictions_loss: 28.7486 52/714 [=>............................] - ETA: 1:32 - loss: 320.3974 - logits_profile_predictions_loss: 167.2195 - logcount_predictions_loss: 28.3663 53/714 [=>............................] - ETA: 1:32 - loss: 318.4473 - logits_profile_predictions_loss: 167.2707 - logcount_predictions_loss: 27.9957 54/714 [=>............................] - ETA: 1:31 - loss: 316.5531 - logits_profile_predictions_loss: 167.3178 - logcount_predictions_loss: 27.6362 55/714 [=>............................] - ETA: 1:31 - loss: 314.7103 - logits_profile_predictions_loss: 167.3593 - logcount_predictions_loss: 27.2872 56/714 [=>............................] - ETA: 1:31 - loss: 312.9180 - logits_profile_predictions_loss: 167.3968 - logcount_predictions_loss: 26.9484 57/714 [=>............................] - ETA: 1:31 - loss: 311.1779 - logits_profile_predictions_loss: 167.4340 - logcount_predictions_loss: 26.6192 58/714 [=>............................] - ETA: 1:31 - loss: 309.4885 - logits_profile_predictions_loss: 167.4718 - logcount_predictions_loss: 26.2994 59/714 [=>............................] - ETA: 1:31 - loss: 307.8456 - logits_profile_predictions_loss: 167.5082 - logcount_predictions_loss: 25.9884 60/714 [=>............................] - ETA: 1:31 - loss: 306.2470 - logits_profile_predictions_loss: 167.5432 - logcount_predictions_loss: 25.6859 61/714 [=>............................] - ETA: 1:30 - loss: 304.6918 - logits_profile_predictions_loss: 167.5776 - logcount_predictions_loss: 25.3915 62/714 [=>............................] - ETA: 1:30 - loss: 303.1747 - logits_profile_predictions_loss: 167.6083 - logcount_predictions_loss: 25.1049 63/714 [=>............................] - ETA: 1:30 - loss: 301.6981 - logits_profile_predictions_loss: 167.6391 - logcount_predictions_loss: 24.8257 64/714 [=>............................] - ETA: 1:30 - loss: 300.2590 - logits_profile_predictions_loss: 167.6688 - logcount_predictions_loss: 24.5538 65/714 [=>............................] - ETA: 1:30 - loss: 298.8550 - logits_profile_predictions_loss: 167.6962 - logcount_predictions_loss: 24.2887 66/714 [=>............................] - ETA: 1:30 - loss: 297.4806 - logits_profile_predictions_loss: 167.7178 - logcount_predictions_loss: 24.0301 67/714 [=>............................] - ETA: 1:30 - loss: 296.1422 - logits_profile_predictions_loss: 167.7407 - logcount_predictions_loss: 23.7780 68/714 [=>............................] - ETA: 1:29 - loss: 294.8328 - logits_profile_predictions_loss: 167.7598 - logcount_predictions_loss: 23.5320 69/714 [=>............................] - ETA: 1:29 - loss: 293.5598 - logits_profile_predictions_loss: 167.7828 - logcount_predictions_loss: 23.2920 70/714 [=>............................] - ETA: 1:29 - loss: 292.3199 - logits_profile_predictions_loss: 167.8079 - logcount_predictions_loss: 23.0578 71/714 [=>............................] - ETA: 1:29 - loss: 291.1089 - logits_profile_predictions_loss: 167.8324 - logcount_predictions_loss: 22.8290 72/714 [==>...........................] - ETA: 1:29 - loss: 289.9276 - logits_profile_predictions_loss: 167.8582 - logcount_predictions_loss: 22.6054 73/714 [==>...........................] - ETA: 1:29 - loss: 288.7727 - logits_profile_predictions_loss: 167.8831 - logcount_predictions_loss: 22.3870 74/714 [==>...........................] - ETA: 1:29 - loss: 287.6411 - logits_profile_predictions_loss: 167.9050 - logcount_predictions_loss: 22.1734 75/714 [==>...........................] - ETA: 1:28 - loss: 286.5335 - logits_profile_predictions_loss: 167.9254 - logcount_predictions_loss: 21.9645 76/714 [==>...........................] - ETA: 1:28 - loss: 285.4483 - logits_profile_predictions_loss: 167.9437 - logcount_predictions_loss: 21.7601 77/714 [==>...........................] - ETA: 1:28 - loss: 284.3874 - logits_profile_predictions_loss: 167.9624 - logcount_predictions_loss: 21.5602 78/714 [==>...........................] - ETA: 1:28 - loss: 283.3490 - logits_profile_predictions_loss: 167.9803 - logcount_predictions_loss: 21.3646 79/714 [==>...........................] - ETA: 1:28 - loss: 282.3290 - logits_profile_predictions_loss: 167.9948 - logcount_predictions_loss: 21.1730 80/714 [==>...........................] - ETA: 1:28 - loss: 281.3274 - logits_profile_predictions_loss: 168.0063 - logcount_predictions_loss: 20.9854 81/714 [==>...........................] - ETA: 1:28 - loss: 280.3505 - logits_profile_predictions_loss: 168.0214 - logcount_predictions_loss: 20.8017 82/714 [==>...........................] - ETA: 1:27 - loss: 279.3940 - logits_profile_predictions_loss: 168.0365 - logcount_predictions_loss: 20.6218 83/714 [==>...........................] - ETA: 1:27 - loss: 278.4563 - logits_profile_predictions_loss: 168.0509 - logcount_predictions_loss: 20.4455 84/714 [==>...........................] - ETA: 1:27 - loss: 277.5380 - logits_profile_predictions_loss: 168.0655 - logcount_predictions_loss: 20.2727 85/714 [==>...........................] - ETA: 1:27 - loss: 276.6375 - logits_profile_predictions_loss: 168.0797 - logcount_predictions_loss: 20.1033 86/714 [==>...........................] - ETA: 1:27 - loss: 275.7542 - logits_profile_predictions_loss: 168.0933 - logcount_predictions_loss: 19.9372 87/714 [==>...........................] - ETA: 1:27 - loss: 274.8865 - logits_profile_predictions_loss: 168.1051 - logcount_predictions_loss: 19.7743 88/714 [==>...........................] - ETA: 1:27 - loss: 274.0354 - logits_profile_predictions_loss: 168.1168 - logcount_predictions_loss: 19.6146 89/714 [==>...........................] - ETA: 1:26 - loss: 273.2022 - logits_profile_predictions_loss: 168.1298 - logcount_predictions_loss: 19.4578 90/714 [==>...........................] - ETA: 1:26 - loss: 272.3852 - logits_profile_predictions_loss: 168.1431 - logcount_predictions_loss: 19.3041 91/714 [==>...........................] - ETA: 1:26 - loss: 271.5821 - logits_profile_predictions_loss: 168.1551 - logcount_predictions_loss: 19.1531 92/714 [==>...........................] - ETA: 1:26 - loss: 270.7939 - logits_profile_predictions_loss: 168.1671 - logcount_predictions_loss: 19.0050 93/714 [==>...........................] - ETA: 1:26 - loss: 270.0194 - logits_profile_predictions_loss: 168.1784 - logcount_predictions_loss: 18.8595 94/714 [==>...........................] - ETA: 1:26 - loss: 269.2572 - logits_profile_predictions_loss: 168.1879 - logcount_predictions_loss: 18.7165 95/714 [==>...........................] - ETA: 1:26 - loss: 268.5092 - logits_profile_predictions_loss: 168.1980 - logcount_predictions_loss: 18.5762 96/714 [===>..........................] - ETA: 1:25 - loss: 267.7740 - logits_profile_predictions_loss: 168.2075 - logcount_predictions_loss: 18.4382 97/714 [===>..........................] - ETA: 1:25 - loss: 267.0514 - logits_profile_predictions_loss: 168.2166 - logcount_predictions_loss: 18.3027 98/714 [===>..........................] - ETA: 1:25 - loss: 266.3413 - logits_profile_predictions_loss: 168.2256 - logcount_predictions_loss: 18.1696 99/714 [===>..........................] - ETA: 1:25 - loss: 265.6448 - logits_profile_predictions_loss: 168.2358 - logcount_predictions_loss: 18.0387 100/714 [===>..........................] - ETA: 1:25 - loss: 264.9605 - logits_profile_predictions_loss: 168.2460 - logcount_predictions_loss: 17.9101 101/714 [===>..........................] - ETA: 1:25 - loss: 264.2865 - logits_profile_predictions_loss: 168.2551 - logcount_predictions_loss: 17.7836 102/714 [===>..........................] - ETA: 1:25 - loss: 263.6239 - logits_profile_predictions_loss: 168.2641 - logcount_predictions_loss: 17.6592 103/714 [===>..........................] - ETA: 1:25 - loss: 262.9713 - logits_profile_predictions_loss: 168.2723 - logcount_predictions_loss: 17.5369 104/714 [===>..........................] - ETA: 1:24 - loss: 262.3275 - logits_profile_predictions_loss: 168.2786 - logcount_predictions_loss: 17.4165 105/714 [===>..........................] - ETA: 1:24 - loss: 261.6939 - logits_profile_predictions_loss: 168.2845 - logcount_predictions_loss: 17.2980 106/714 [===>..........................] - ETA: 1:24 - loss: 261.0699 - logits_profile_predictions_loss: 168.2900 - logcount_predictions_loss: 17.1815 107/714 [===>..........................] - ETA: 1:24 - loss: 260.4557 - logits_profile_predictions_loss: 168.2951 - logcount_predictions_loss: 17.0668 108/714 [===>..........................] - ETA: 1:24 - loss: 259.8516 - logits_profile_predictions_loss: 168.3006 - logcount_predictions_loss: 16.9539 109/714 [===>..........................] - ETA: 1:24 - loss: 259.2564 - logits_profile_predictions_loss: 168.3054 - logcount_predictions_loss: 16.8428 110/714 [===>..........................] - ETA: 1:24 - loss: 258.6697 - logits_profile_predictions_loss: 168.3096 - logcount_predictions_loss: 16.7333 111/714 [===>..........................] - ETA: 1:23 - loss: 258.0909 - logits_profile_predictions_loss: 168.3128 - logcount_predictions_loss: 16.6256 112/714 [===>..........................] - ETA: 1:23 - loss: 257.5196 - logits_profile_predictions_loss: 168.3147 - logcount_predictions_loss: 16.5194 113/714 [===>..........................] - ETA: 1:23 - loss: 256.9574 - logits_profile_predictions_loss: 168.3170 - logcount_predictions_loss: 16.4149 114/714 [===>..........................] - ETA: 1:23 - loss: 256.4032 - logits_profile_predictions_loss: 168.3190 - logcount_predictions_loss: 16.3119 115/714 [===>..........................] - ETA: 1:23 - loss: 255.8570 - logits_profile_predictions_loss: 168.3208 - logcount_predictions_loss: 16.2104 116/714 [===>..........................] - ETA: 1:23 - loss: 255.3191 - logits_profile_predictions_loss: 168.3227 - logcount_predictions_loss: 16.1104 117/714 [===>..........................] - ETA: 1:23 - loss: 254.7884 - logits_profile_predictions_loss: 168.3240 - logcount_predictions_loss: 16.0119 118/714 [===>..........................] - ETA: 1:22 - loss: 254.2653 - logits_profile_predictions_loss: 168.3253 - logcount_predictions_loss: 15.9148 119/714 [====>.........................] - ETA: 1:22 - loss: 253.7502 - logits_profile_predictions_loss: 168.3270 - logcount_predictions_loss: 15.8191 120/714 [====>.........................] - ETA: 1:22 - loss: 253.2423 - logits_profile_predictions_loss: 168.3286 - logcount_predictions_loss: 15.7248 121/714 [====>.........................] - ETA: 1:22 - loss: 252.7419 - logits_profile_predictions_loss: 168.3304 - logcount_predictions_loss: 15.6318 122/714 [====>.........................] - ETA: 1:22 - loss: 252.2487 - logits_profile_predictions_loss: 168.3324 - logcount_predictions_loss: 15.5401 123/714 [====>.........................] - ETA: 1:22 - loss: 251.7641 - logits_profile_predictions_loss: 168.3359 - logcount_predictions_loss: 15.4497 124/714 [====>.........................] - ETA: 1:22 - loss: 251.2855 - logits_profile_predictions_loss: 168.3388 - logcount_predictions_loss: 15.3605 125/714 [====>.........................] - ETA: 1:21 - loss: 250.8125 - logits_profile_predictions_loss: 168.3407 - logcount_predictions_loss: 15.2725 126/714 [====>.........................] - ETA: 1:21 - loss: 250.3450 - logits_profile_predictions_loss: 168.3419 - logcount_predictions_loss: 15.1858 127/714 [====>.........................] - ETA: 1:21 - loss: 249.8855 - 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[============================>.] - ETA: 0s - loss: 193.2239 - logits_profile_predictions_loss: 168.2409 - logcount_predictions_loss: 4.6265 712/714 [============================>.] - ETA: 0s - loss: 193.2011 - logits_profile_predictions_loss: 168.2400 - logcount_predictions_loss: 4.6224 713/714 [============================>.] - ETA: 0s - loss: 193.1783 - logits_profile_predictions_loss: 168.2392 - logcount_predictions_loss: 4.6184 714/714 [==============================] - ETA: 0s - loss: 193.1556 - logits_profile_predictions_loss: 168.2383 - logcount_predictions_loss: 4.6143 714/714 [==============================] - 111s 147ms/step - loss: 193.1330 - logits_profile_predictions_loss: 168.2374 - logcount_predictions_loss: 4.6103 - val_loss: 180.2559 - val_logits_profile_predictions_loss: 173.6371 - val_logcount_predictions_loss: 1.2257 + +Epoch 00001: val_loss improved from inf to 180.25586, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2/chrombpnet.h5 +Epoch 2/50 + 1/714 [..............................] - ETA: 1:50 - loss: 170.4941 - logits_profile_predictions_loss: 164.5244 - logcount_predictions_loss: 1.1055 2/714 [..............................] - ETA: 1:44 - loss: 167.1373 - logits_profile_predictions_loss: 161.4738 - logcount_predictions_loss: 1.0488 3/714 [..............................] - ETA: 1:41 - loss: 166.9797 - logits_profile_predictions_loss: 161.3868 - logcount_predictions_loss: 1.0357 4/714 [..............................] - ETA: 1:40 - loss: 166.1611 - logits_profile_predictions_loss: 160.6419 - logcount_predictions_loss: 1.0221 5/714 [..............................] - ETA: 1:39 - loss: 166.6259 - logits_profile_predictions_loss: 161.0592 - logcount_predictions_loss: 1.0309 6/714 [..............................] - ETA: 1:39 - loss: 167.1779 - logits_profile_predictions_loss: 161.5471 - logcount_predictions_loss: 1.0427 7/714 [..............................] - ETA: 1:39 - loss: 167.5103 - logits_profile_predictions_loss: 161.8386 - logcount_predictions_loss: 1.0503 8/714 [..............................] - ETA: 1:38 - loss: 167.9797 - logits_profile_predictions_loss: 162.2635 - logcount_predictions_loss: 1.0586 9/714 [..............................] - ETA: 1:38 - loss: 168.3133 - logits_profile_predictions_loss: 162.5682 - logcount_predictions_loss: 1.0639 10/714 [..............................] - ETA: 1:38 - loss: 168.6041 - logits_profile_predictions_loss: 162.8401 - logcount_predictions_loss: 1.0674 11/714 [..............................] - ETA: 1:38 - loss: 168.8721 - logits_profile_predictions_loss: 163.0930 - logcount_predictions_loss: 1.0702 12/714 [..............................] - ETA: 1:38 - loss: 169.2059 - logits_profile_predictions_loss: 163.4060 - logcount_predictions_loss: 1.0741 13/714 [..............................] - ETA: 1:37 - loss: 169.4897 - logits_profile_predictions_loss: 163.6741 - logcount_predictions_loss: 1.0770 14/714 [..............................] - ETA: 1:37 - loss: 169.6637 - logits_profile_predictions_loss: 163.8392 - logcount_predictions_loss: 1.0786 15/714 [..............................] - ETA: 1:37 - loss: 169.8253 - logits_profile_predictions_loss: 163.9931 - logcount_predictions_loss: 1.0800 16/714 [..............................] - ETA: 1:37 - loss: 169.9697 - logits_profile_predictions_loss: 164.1311 - logcount_predictions_loss: 1.0812 17/714 [..............................] - ETA: 1:37 - loss: 170.0853 - logits_profile_predictions_loss: 164.2398 - logcount_predictions_loss: 1.0825 18/714 [..............................] - ETA: 1:37 - loss: 170.2156 - logits_profile_predictions_loss: 164.3643 - logcount_predictions_loss: 1.0836 19/714 [..............................] - ETA: 1:36 - loss: 170.3206 - logits_profile_predictions_loss: 164.4651 - logcount_predictions_loss: 1.0843 20/714 [..............................] - ETA: 1:36 - loss: 170.4077 - logits_profile_predictions_loss: 164.5490 - logcount_predictions_loss: 1.0849 21/714 [..............................] - ETA: 1:36 - loss: 170.5047 - logits_profile_predictions_loss: 164.6415 - logcount_predictions_loss: 1.0858 22/714 [..............................] - ETA: 1:36 - loss: 170.5846 - logits_profile_predictions_loss: 164.7194 - logcount_predictions_loss: 1.0861 23/714 [..............................] - ETA: 1:36 - loss: 170.6265 - logits_profile_predictions_loss: 164.7619 - logcount_predictions_loss: 1.0860 24/714 [>.............................] - ETA: 1:36 - loss: 170.6869 - logits_profile_predictions_loss: 164.8208 - logcount_predictions_loss: 1.0863 25/714 [>.............................] - ETA: 1:35 - loss: 170.7410 - logits_profile_predictions_loss: 164.8739 - logcount_predictions_loss: 1.0865 26/714 [>.............................] - ETA: 1:36 - loss: 170.8022 - logits_profile_predictions_loss: 164.9327 - logcount_predictions_loss: 1.0869 27/714 [>.............................] - ETA: 1:36 - loss: 170.8597 - logits_profile_predictions_loss: 164.9884 - logcount_predictions_loss: 1.0873 28/714 [>.............................] - ETA: 1:36 - loss: 170.9219 - logits_profile_predictions_loss: 165.0490 - logcount_predictions_loss: 1.0876 29/714 [>.............................] - ETA: 1:35 - loss: 170.9966 - logits_profile_predictions_loss: 165.1206 - logcount_predictions_loss: 1.0881 30/714 [>.............................] - ETA: 1:35 - loss: 171.0464 - logits_profile_predictions_loss: 165.1692 - logcount_predictions_loss: 1.0884 31/714 [>.............................] - ETA: 1:35 - loss: 171.0947 - logits_profile_predictions_loss: 165.2161 - logcount_predictions_loss: 1.0886 32/714 [>.............................] - ETA: 1:35 - loss: 171.1453 - logits_profile_predictions_loss: 165.2646 - logcount_predictions_loss: 1.0890 33/714 [>.............................] - ETA: 1:35 - loss: 171.1952 - logits_profile_predictions_loss: 165.3128 - logcount_predictions_loss: 1.0893 34/714 [>.............................] - ETA: 1:35 - loss: 171.2543 - logits_profile_predictions_loss: 165.3696 - logcount_predictions_loss: 1.0898 35/714 [>.............................] - ETA: 1:34 - loss: 171.3161 - logits_profile_predictions_loss: 165.4284 - logcount_predictions_loss: 1.0903 36/714 [>.............................] - ETA: 1:34 - loss: 171.3782 - logits_profile_predictions_loss: 165.4873 - logcount_predictions_loss: 1.0909 37/714 [>.............................] - ETA: 1:34 - loss: 171.4325 - logits_profile_predictions_loss: 165.5389 - logcount_predictions_loss: 1.0914 38/714 [>.............................] - ETA: 1:34 - loss: 171.4854 - logits_profile_predictions_loss: 165.5890 - logcount_predictions_loss: 1.0919 39/714 [>.............................] - ETA: 1:34 - loss: 171.5399 - logits_profile_predictions_loss: 165.6407 - logcount_predictions_loss: 1.0924 40/714 [>.............................] - ETA: 1:34 - loss: 171.5863 - logits_profile_predictions_loss: 165.6848 - logcount_predictions_loss: 1.0929 41/714 [>.............................] - ETA: 1:34 - loss: 171.6323 - logits_profile_predictions_loss: 165.7285 - logcount_predictions_loss: 1.0933 42/714 [>.............................] - ETA: 1:33 - loss: 171.6781 - logits_profile_predictions_loss: 165.7725 - logcount_predictions_loss: 1.0936 43/714 [>.............................] - ETA: 1:33 - loss: 171.7318 - logits_profile_predictions_loss: 165.8236 - logcount_predictions_loss: 1.0941 44/714 [>.............................] - ETA: 1:33 - loss: 171.7860 - logits_profile_predictions_loss: 165.8752 - logcount_predictions_loss: 1.0946 45/714 [>.............................] - ETA: 1:33 - loss: 171.8385 - logits_profile_predictions_loss: 165.9254 - logcount_predictions_loss: 1.0950 46/714 [>.............................] - ETA: 1:33 - loss: 171.8872 - logits_profile_predictions_loss: 165.9716 - logcount_predictions_loss: 1.0955 47/714 [>.............................] - ETA: 1:33 - loss: 171.9392 - logits_profile_predictions_loss: 166.0213 - logcount_predictions_loss: 1.0959 48/714 [=>............................] - ETA: 1:32 - loss: 171.9824 - logits_profile_predictions_loss: 166.0629 - logcount_predictions_loss: 1.0962 49/714 [=>............................] - ETA: 1:32 - loss: 172.0275 - logits_profile_predictions_loss: 166.1064 - logcount_predictions_loss: 1.0965 50/714 [=>............................] - ETA: 1:32 - loss: 172.0687 - logits_profile_predictions_loss: 166.1463 - logcount_predictions_loss: 1.0968 51/714 [=>............................] - ETA: 1:32 - loss: 172.1062 - logits_profile_predictions_loss: 166.1829 - logcount_predictions_loss: 1.0969 52/714 [=>............................] - ETA: 1:32 - loss: 172.1420 - logits_profile_predictions_loss: 166.2179 - logcount_predictions_loss: 1.0971 53/714 [=>............................] - ETA: 1:32 - loss: 172.1785 - logits_profile_predictions_loss: 166.2535 - logcount_predictions_loss: 1.0972 54/714 [=>............................] - ETA: 1:32 - loss: 172.2169 - logits_profile_predictions_loss: 166.2911 - logcount_predictions_loss: 1.0974 55/714 [=>............................] - ETA: 1:31 - loss: 172.2473 - logits_profile_predictions_loss: 166.3214 - logcount_predictions_loss: 1.0974 56/714 [=>............................] - ETA: 1:31 - loss: 172.2766 - logits_profile_predictions_loss: 166.3509 - logcount_predictions_loss: 1.0973 57/714 [=>............................] - ETA: 1:31 - loss: 172.3017 - logits_profile_predictions_loss: 166.3769 - logcount_predictions_loss: 1.0972 58/714 [=>............................] - ETA: 1:31 - loss: 172.3204 - logits_profile_predictions_loss: 166.3972 - logcount_predictions_loss: 1.0969 59/714 [=>............................] - ETA: 1:31 - loss: 172.3370 - logits_profile_predictions_loss: 166.4159 - logcount_predictions_loss: 1.0965 60/714 [=>............................] - ETA: 1:31 - loss: 172.3517 - logits_profile_predictions_loss: 166.4333 - logcount_predictions_loss: 1.0960 61/714 [=>............................] - ETA: 1:31 - loss: 172.3626 - logits_profile_predictions_loss: 166.4477 - logcount_predictions_loss: 1.0953 62/714 [=>............................] - ETA: 1:30 - loss: 172.3723 - logits_profile_predictions_loss: 166.4616 - logcount_predictions_loss: 1.0946 63/714 [=>............................] - ETA: 1:30 - loss: 172.3830 - logits_profile_predictions_loss: 166.4771 - logcount_predictions_loss: 1.0937 64/714 [=>............................] - ETA: 1:30 - loss: 172.3890 - logits_profile_predictions_loss: 166.4887 - logcount_predictions_loss: 1.0926 65/714 [=>............................] - ETA: 1:30 - loss: 172.3927 - logits_profile_predictions_loss: 166.4988 - logcount_predictions_loss: 1.0915 66/714 [=>............................] - ETA: 1:30 - loss: 172.3947 - logits_profile_predictions_loss: 166.5076 - logcount_predictions_loss: 1.0902 67/714 [=>............................] - ETA: 1:30 - loss: 172.3981 - logits_profile_predictions_loss: 166.5182 - logcount_predictions_loss: 1.0889 68/714 [=>............................] - ETA: 1:30 - loss: 172.4005 - logits_profile_predictions_loss: 166.5282 - logcount_predictions_loss: 1.0875 69/714 [=>............................] - ETA: 1:29 - loss: 172.4029 - logits_profile_predictions_loss: 166.5386 - logcount_predictions_loss: 1.0860 70/714 [=>............................] - ETA: 1:29 - loss: 172.4075 - logits_profile_predictions_loss: 166.5518 - logcount_predictions_loss: 1.0844 71/714 [=>............................] - ETA: 1:29 - loss: 172.4115 - logits_profile_predictions_loss: 166.5647 - logcount_predictions_loss: 1.0827 72/714 [==>...........................] - ETA: 1:29 - loss: 172.4151 - logits_profile_predictions_loss: 166.5776 - logcount_predictions_loss: 1.0810 73/714 [==>...........................] - ETA: 1:29 - loss: 172.4160 - logits_profile_predictions_loss: 166.5881 - logcount_predictions_loss: 1.0792 74/714 [==>...........................] - ETA: 1:29 - loss: 172.4148 - logits_profile_predictions_loss: 166.5969 - logcount_predictions_loss: 1.0774 75/714 [==>...........................] - ETA: 1:29 - loss: 172.4111 - logits_profile_predictions_loss: 166.6036 - logcount_predictions_loss: 1.0755 76/714 [==>...........................] - ETA: 1:28 - loss: 172.4079 - logits_profile_predictions_loss: 166.6110 - logcount_predictions_loss: 1.0735 77/714 [==>...........................] - ETA: 1:28 - loss: 172.4039 - logits_profile_predictions_loss: 166.6178 - logcount_predictions_loss: 1.0715 78/714 [==>...........................] - ETA: 1:28 - loss: 172.4004 - logits_profile_predictions_loss: 166.6252 - logcount_predictions_loss: 1.0695 79/714 [==>...........................] - ETA: 1:28 - loss: 172.3979 - logits_profile_predictions_loss: 166.6336 - logcount_predictions_loss: 1.0674 80/714 [==>...........................] - ETA: 1:28 - loss: 172.3927 - logits_profile_predictions_loss: 166.6397 - logcount_predictions_loss: 1.0654 81/714 [==>...........................] - ETA: 1:28 - loss: 172.3867 - logits_profile_predictions_loss: 166.6453 - logcount_predictions_loss: 1.0632 82/714 [==>...........................] - ETA: 1:28 - loss: 172.3782 - logits_profile_predictions_loss: 166.6484 - logcount_predictions_loss: 1.0611 83/714 [==>...........................] - ETA: 1:27 - loss: 172.3692 - logits_profile_predictions_loss: 166.6511 - logcount_predictions_loss: 1.0589 84/714 [==>...........................] - ETA: 1:27 - loss: 172.3592 - logits_profile_predictions_loss: 166.6530 - logcount_predictions_loss: 1.0567 85/714 [==>...........................] - ETA: 1:27 - loss: 172.3496 - logits_profile_predictions_loss: 166.6553 - logcount_predictions_loss: 1.0545 86/714 [==>...........................] - ETA: 1:27 - loss: 172.3411 - logits_profile_predictions_loss: 166.6588 - logcount_predictions_loss: 1.0523 87/714 [==>...........................] - ETA: 1:27 - loss: 172.3328 - logits_profile_predictions_loss: 166.6627 - logcount_predictions_loss: 1.0500 88/714 [==>...........................] - ETA: 1:27 - loss: 172.3226 - logits_profile_predictions_loss: 166.6648 - logcount_predictions_loss: 1.0477 89/714 [==>...........................] - ETA: 1:27 - loss: 172.3123 - logits_profile_predictions_loss: 166.6669 - logcount_predictions_loss: 1.0454 90/714 [==>...........................] - ETA: 1:26 - loss: 172.2999 - logits_profile_predictions_loss: 166.6671 - logcount_predictions_loss: 1.0431 91/714 [==>...........................] - ETA: 1:26 - loss: 172.2882 - logits_profile_predictions_loss: 166.6680 - logcount_predictions_loss: 1.0408 92/714 [==>...........................] - ETA: 1:26 - loss: 172.2777 - logits_profile_predictions_loss: 166.6701 - logcount_predictions_loss: 1.0384 93/714 [==>...........................] - ETA: 1:26 - loss: 172.2667 - logits_profile_predictions_loss: 166.6719 - logcount_predictions_loss: 1.0361 94/714 [==>...........................] - ETA: 1:26 - loss: 172.2562 - logits_profile_predictions_loss: 166.6742 - logcount_predictions_loss: 1.0337 95/714 [==>...........................] - ETA: 1:26 - loss: 172.2462 - logits_profile_predictions_loss: 166.6770 - logcount_predictions_loss: 1.0313 96/714 [===>..........................] - ETA: 1:26 - loss: 172.2356 - logits_profile_predictions_loss: 166.6793 - logcount_predictions_loss: 1.0289 97/714 [===>..........................] - ETA: 1:25 - loss: 172.2258 - logits_profile_predictions_loss: 166.6824 - logcount_predictions_loss: 1.0265 98/714 [===>..........................] - ETA: 1:25 - loss: 172.2159 - logits_profile_predictions_loss: 166.6855 - logcount_predictions_loss: 1.0242 99/714 [===>..........................] - ETA: 1:25 - loss: 172.2069 - logits_profile_predictions_loss: 166.6894 - logcount_predictions_loss: 1.0218 100/714 [===>..........................] - ETA: 1:25 - loss: 172.1976 - logits_profile_predictions_loss: 166.6930 - logcount_predictions_loss: 1.0194 101/714 [===>..........................] - ETA: 1:25 - loss: 172.1881 - logits_profile_predictions_loss: 166.6963 - logcount_predictions_loss: 1.0170 102/714 [===>..........................] - ETA: 1:25 - loss: 172.1782 - logits_profile_predictions_loss: 166.6993 - logcount_predictions_loss: 1.0146 103/714 [===>..........................] - ETA: 1:25 - loss: 172.1677 - logits_profile_predictions_loss: 166.7018 - logcount_predictions_loss: 1.0122 104/714 [===>..........................] - ETA: 1:24 - loss: 172.1569 - logits_profile_predictions_loss: 166.7039 - logcount_predictions_loss: 1.0098 105/714 [===>..........................] - ETA: 1:24 - loss: 172.1457 - logits_profile_predictions_loss: 166.7055 - logcount_predictions_loss: 1.0074 106/714 [===>..........................] - ETA: 1:24 - loss: 172.1343 - logits_profile_predictions_loss: 166.7070 - logcount_predictions_loss: 1.0051 107/714 [===>..........................] - ETA: 1:24 - loss: 172.1217 - logits_profile_predictions_loss: 166.7073 - logcount_predictions_loss: 1.0027 108/714 [===>..........................] - ETA: 1:24 - loss: 172.1085 - logits_profile_predictions_loss: 166.7068 - logcount_predictions_loss: 1.0003 109/714 [===>..........................] - ETA: 1:24 - loss: 172.0941 - logits_profile_predictions_loss: 166.7053 - logcount_predictions_loss: 0.9979 110/714 [===>..........................] - ETA: 1:24 - loss: 172.0808 - logits_profile_predictions_loss: 166.7047 - logcount_predictions_loss: 0.9956 111/714 [===>..........................] - ETA: 1:23 - loss: 172.0683 - logits_profile_predictions_loss: 166.7050 - logcount_predictions_loss: 0.9932 112/714 [===>..........................] - ETA: 1:23 - loss: 172.0558 - logits_profile_predictions_loss: 166.7051 - logcount_predictions_loss: 0.9909 113/714 [===>..........................] - ETA: 1:23 - loss: 172.0428 - logits_profile_predictions_loss: 166.7049 - logcount_predictions_loss: 0.9885 114/714 [===>..........................] - ETA: 1:23 - loss: 172.0295 - logits_profile_predictions_loss: 166.7042 - logcount_predictions_loss: 0.9862 115/714 [===>..........................] - ETA: 1:23 - loss: 172.0161 - logits_profile_predictions_loss: 166.7034 - logcount_predictions_loss: 0.9838 116/714 [===>..........................] - ETA: 1:23 - loss: 172.0034 - logits_profile_predictions_loss: 166.7032 - logcount_predictions_loss: 0.9815 117/714 [===>..........................] - ETA: 1:23 - loss: 171.9910 - logits_profile_predictions_loss: 166.7033 - logcount_predictions_loss: 0.9792 118/714 [===>..........................] - ETA: 1:22 - loss: 171.9780 - logits_profile_predictions_loss: 166.7029 - logcount_predictions_loss: 0.9769 119/714 [====>.........................] - ETA: 1:22 - loss: 171.9658 - logits_profile_predictions_loss: 166.7030 - logcount_predictions_loss: 0.9746 120/714 [====>.........................] - ETA: 1:22 - loss: 171.9532 - logits_profile_predictions_loss: 166.7027 - logcount_predictions_loss: 0.9723 121/714 [====>.........................] - ETA: 1:22 - loss: 171.9413 - logits_profile_predictions_loss: 166.7031 - logcount_predictions_loss: 0.9700 122/714 [====>.........................] - ETA: 1:22 - loss: 171.9288 - logits_profile_predictions_loss: 166.7029 - logcount_predictions_loss: 0.9678 123/714 [====>.........................] - ETA: 1:22 - loss: 171.9144 - logits_profile_predictions_loss: 166.7007 - logcount_predictions_loss: 0.9655 124/714 [====>.........................] - ETA: 1:22 - loss: 171.9006 - logits_profile_predictions_loss: 166.6991 - logcount_predictions_loss: 0.9632 125/714 [====>.........................] - ETA: 1:21 - loss: 171.8864 - logits_profile_predictions_loss: 166.6970 - logcount_predictions_loss: 0.9610 126/714 [====>.........................] - ETA: 1:21 - loss: 171.8719 - logits_profile_predictions_loss: 166.6946 - logcount_predictions_loss: 0.9588 127/714 [====>.........................] - ETA: 1:21 - loss: 171.8578 - logits_profile_predictions_loss: 166.6925 - logcount_predictions_loss: 0.9565 128/714 [====>.........................] - ETA: 1:21 - loss: 171.8444 - logits_profile_predictions_loss: 166.6910 - logcount_predictions_loss: 0.9543 129/714 [====>.........................] - ETA: 1:21 - loss: 171.8311 - logits_profile_predictions_loss: 166.6896 - logcount_predictions_loss: 0.9521 130/714 [====>.........................] - ETA: 1:21 - loss: 171.8176 - logits_profile_predictions_loss: 166.6879 - logcount_predictions_loss: 0.9499 131/714 [====>.........................] - ETA: 1:21 - loss: 171.8041 - logits_profile_predictions_loss: 166.6861 - logcount_predictions_loss: 0.9478 132/714 [====>.........................] - ETA: 1:20 - loss: 171.7906 - logits_profile_predictions_loss: 166.6843 - logcount_predictions_loss: 0.9456 133/714 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166.6722 - logcount_predictions_loss: 0.9308 140/714 [====>.........................] - ETA: 1:19 - loss: 171.6868 - logits_profile_predictions_loss: 166.6716 - logcount_predictions_loss: 0.9287 141/714 [====>.........................] - ETA: 1:19 - loss: 171.6751 - logits_profile_predictions_loss: 166.6709 - logcount_predictions_loss: 0.9267 142/714 [====>.........................] - ETA: 1:19 - loss: 171.6633 - logits_profile_predictions_loss: 166.6700 - logcount_predictions_loss: 0.9247 143/714 [=====>........................] - ETA: 1:19 - loss: 171.6516 - logits_profile_predictions_loss: 166.6693 - logcount_predictions_loss: 0.9226 144/714 [=====>........................] - ETA: 1:19 - loss: 171.6399 - logits_profile_predictions_loss: 166.6684 - logcount_predictions_loss: 0.9206 145/714 [=====>........................] - ETA: 1:19 - loss: 171.6283 - logits_profile_predictions_loss: 166.6677 - logcount_predictions_loss: 0.9186 146/714 [=====>........................] - ETA: 1:19 - 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logits_profile_predictions_loss: 163.9002 - logcount_predictions_loss: 0.1936 711/714 [============================>.] - ETA: 0s - loss: 164.9460 - logits_profile_predictions_loss: 163.9006 - logcount_predictions_loss: 0.1936 712/714 [============================>.] - ETA: 0s - loss: 164.9463 - logits_profile_predictions_loss: 163.9009 - logcount_predictions_loss: 0.1936 713/714 [============================>.] - ETA: 0s - loss: 164.9467 - logits_profile_predictions_loss: 163.9013 - logcount_predictions_loss: 0.1936 714/714 [==============================] - ETA: 0s - loss: 164.9470 - logits_profile_predictions_loss: 163.9017 - logcount_predictions_loss: 0.1936 714/714 [==============================] - 104s 145ms/step - loss: 164.9473 - logits_profile_predictions_loss: 163.9020 - logcount_predictions_loss: 0.1936 - val_loss: 172.4279 - val_logits_profile_predictions_loss: 171.4656 - val_logcount_predictions_loss: 0.1782 + +Epoch 00004: val_loss improved from 173.07593 to 172.42793, 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[..............................] - ETA: 1:36 - loss: 162.9392 - logits_profile_predictions_loss: 161.9197 - logcount_predictions_loss: 0.1888 21/714 [..............................] - ETA: 1:36 - loss: 162.8985 - logits_profile_predictions_loss: 161.8799 - logcount_predictions_loss: 0.1886 22/714 [..............................] - ETA: 1:36 - loss: 162.8498 - logits_profile_predictions_loss: 161.8326 - logcount_predictions_loss: 0.1884 23/714 [..............................] - ETA: 1:36 - loss: 162.7890 - logits_profile_predictions_loss: 161.7734 - logcount_predictions_loss: 0.1881 24/714 [>.............................] - ETA: 1:35 - loss: 162.7145 - logits_profile_predictions_loss: 161.7003 - logcount_predictions_loss: 0.1878 25/714 [>.............................] - ETA: 1:35 - loss: 162.6557 - logits_profile_predictions_loss: 161.6429 - logcount_predictions_loss: 0.1875 26/714 [>.............................] - ETA: 1:35 - loss: 162.6090 - logits_profile_predictions_loss: 161.5978 - logcount_predictions_loss: 0.1873 27/714 [>.............................] - ETA: 1:35 - loss: 162.5586 - logits_profile_predictions_loss: 161.5493 - logcount_predictions_loss: 0.1869 28/714 [>.............................] - ETA: 1:35 - loss: 162.5082 - logits_profile_predictions_loss: 161.5005 - logcount_predictions_loss: 0.1866 29/714 [>.............................] - ETA: 1:35 - loss: 162.4519 - logits_profile_predictions_loss: 161.4459 - logcount_predictions_loss: 0.1863 30/714 [>.............................] - ETA: 1:35 - loss: 162.4021 - logits_profile_predictions_loss: 161.3979 - logcount_predictions_loss: 0.1860 31/714 [>.............................] - ETA: 1:34 - loss: 162.3492 - logits_profile_predictions_loss: 161.3465 - logcount_predictions_loss: 0.1857 32/714 [>.............................] - ETA: 1:34 - loss: 162.2925 - logits_profile_predictions_loss: 161.2913 - logcount_predictions_loss: 0.1854 33/714 [>.............................] - ETA: 1:34 - loss: 162.2439 - 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[>.............................] - ETA: 1:33 - loss: 162.0521 - logits_profile_predictions_loss: 161.0611 - logcount_predictions_loss: 0.1835 41/714 [>.............................] - ETA: 1:33 - loss: 162.0283 - logits_profile_predictions_loss: 161.0384 - logcount_predictions_loss: 0.1833 42/714 [>.............................] - ETA: 1:33 - loss: 162.0093 - logits_profile_predictions_loss: 161.0207 - logcount_predictions_loss: 0.1831 43/714 [>.............................] - ETA: 1:33 - loss: 161.9896 - logits_profile_predictions_loss: 161.0021 - logcount_predictions_loss: 0.1829 44/714 [>.............................] - ETA: 1:33 - loss: 161.9650 - logits_profile_predictions_loss: 160.9786 - logcount_predictions_loss: 0.1827 45/714 [>.............................] - ETA: 1:32 - loss: 161.9351 - logits_profile_predictions_loss: 160.9495 - logcount_predictions_loss: 0.1825 46/714 [>.............................] - ETA: 1:32 - loss: 161.9090 - logits_profile_predictions_loss: 160.9240 - logcount_predictions_loss: 0.1824 47/714 [>.............................] - ETA: 1:32 - loss: 161.8837 - logits_profile_predictions_loss: 160.8993 - logcount_predictions_loss: 0.1823 48/714 [=>............................] - ETA: 1:32 - loss: 161.8574 - logits_profile_predictions_loss: 160.8737 - logcount_predictions_loss: 0.1822 49/714 [=>............................] - ETA: 1:32 - loss: 161.8283 - logits_profile_predictions_loss: 160.8454 - logcount_predictions_loss: 0.1820 50/714 [=>............................] - ETA: 1:32 - loss: 161.8007 - logits_profile_predictions_loss: 160.8185 - logcount_predictions_loss: 0.1819 51/714 [=>............................] - ETA: 1:32 - loss: 161.7795 - logits_profile_predictions_loss: 160.7981 - logcount_predictions_loss: 0.1817 52/714 [=>............................] - ETA: 1:31 - loss: 161.7572 - logits_profile_predictions_loss: 160.7766 - logcount_predictions_loss: 0.1816 53/714 [=>............................] - ETA: 1:31 - loss: 161.7360 - logits_profile_predictions_loss: 160.7559 - logcount_predictions_loss: 0.1815 54/714 [=>............................] - ETA: 1:31 - loss: 161.7169 - logits_profile_predictions_loss: 160.7375 - logcount_predictions_loss: 0.1814 55/714 [=>............................] - ETA: 1:31 - loss: 161.6968 - logits_profile_predictions_loss: 160.7181 - logcount_predictions_loss: 0.1812 56/714 [=>............................] - ETA: 1:31 - loss: 161.6808 - logits_profile_predictions_loss: 160.7029 - logcount_predictions_loss: 0.1811 57/714 [=>............................] - ETA: 1:31 - loss: 161.6645 - logits_profile_predictions_loss: 160.6873 - logcount_predictions_loss: 0.1810 58/714 [=>............................] - ETA: 1:31 - loss: 161.6488 - logits_profile_predictions_loss: 160.6725 - logcount_predictions_loss: 0.1808 59/714 [=>............................] - ETA: 1:30 - loss: 161.6347 - logits_profile_predictions_loss: 160.6592 - logcount_predictions_loss: 0.1807 60/714 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[==============================] - 103s 145ms/step - loss: 162.7277 - logits_profile_predictions_loss: 161.8089 - logcount_predictions_loss: 0.1701 - val_loss: 172.2040 - val_logits_profile_predictions_loss: 171.3342 - val_logcount_predictions_loss: 0.1611 + +Epoch 00008: val_loss improved from 172.36774 to 172.20396, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2/chrombpnet.h5 +Epoch 9/50 + 1/714 [..............................] - ETA: 1:50 - loss: 165.1212 - logits_profile_predictions_loss: 164.3912 - logcount_predictions_loss: 0.1352 2/714 [..............................] - ETA: 1:39 - loss: 162.6468 - logits_profile_predictions_loss: 161.9343 - logcount_predictions_loss: 0.1319 3/714 [..............................] - ETA: 1:39 - loss: 163.5834 - logits_profile_predictions_loss: 162.8811 - logcount_predictions_loss: 0.1301 4/714 [..............................] - ETA: 1:38 - loss: 164.3533 - logits_profile_predictions_loss: 163.6445 - logcount_predictions_loss: 0.1313 5/714 [..............................] - ETA: 1:38 - loss: 164.4988 - logits_profile_predictions_loss: 163.7791 - logcount_predictions_loss: 0.1333 6/714 [..............................] - ETA: 1:38 - loss: 164.5582 - logits_profile_predictions_loss: 163.8348 - logcount_predictions_loss: 0.1340 7/714 [..............................] - ETA: 1:38 - loss: 164.5151 - logits_profile_predictions_loss: 163.7803 - logcount_predictions_loss: 0.1361 8/714 [..............................] - ETA: 1:38 - loss: 164.1833 - logits_profile_predictions_loss: 163.4385 - logcount_predictions_loss: 0.1379 9/714 [..............................] - ETA: 1:37 - loss: 163.9730 - logits_profile_predictions_loss: 163.2202 - logcount_predictions_loss: 0.1394 10/714 [..............................] - ETA: 1:37 - loss: 163.8010 - logits_profile_predictions_loss: 163.0439 - logcount_predictions_loss: 0.1402 11/714 [..............................] - ETA: 1:37 - loss: 163.6426 - logits_profile_predictions_loss: 162.8827 - logcount_predictions_loss: 0.1407 12/714 [..............................] - ETA: 1:37 - loss: 163.4542 - logits_profile_predictions_loss: 162.6916 - logcount_predictions_loss: 0.1412 13/714 [..............................] - ETA: 1:37 - loss: 163.3885 - logits_profile_predictions_loss: 162.6244 - logcount_predictions_loss: 0.1415 14/714 [..............................] - ETA: 1:37 - loss: 163.3968 - logits_profile_predictions_loss: 162.6302 - logcount_predictions_loss: 0.1419 15/714 [..............................] - ETA: 1:37 - loss: 163.4255 - logits_profile_predictions_loss: 162.6554 - logcount_predictions_loss: 0.1426 16/714 [..............................] - ETA: 1:36 - loss: 163.4183 - logits_profile_predictions_loss: 162.6445 - logcount_predictions_loss: 0.1433 17/714 [..............................] - ETA: 1:36 - loss: 163.3845 - logits_profile_predictions_loss: 162.6074 - logcount_predictions_loss: 0.1439 18/714 [..............................] - ETA: 1:36 - loss: 163.3551 - logits_profile_predictions_loss: 162.5756 - logcount_predictions_loss: 0.1443 19/714 [..............................] - ETA: 1:36 - loss: 163.3254 - logits_profile_predictions_loss: 162.5437 - logcount_predictions_loss: 0.1448 20/714 [..............................] - ETA: 1:36 - loss: 163.3064 - logits_profile_predictions_loss: 162.5225 - logcount_predictions_loss: 0.1452 21/714 [..............................] - ETA: 1:36 - loss: 163.3471 - logits_profile_predictions_loss: 162.5613 - logcount_predictions_loss: 0.1455 22/714 [..............................] - ETA: 1:36 - loss: 163.3810 - logits_profile_predictions_loss: 162.5928 - logcount_predictions_loss: 0.1460 23/714 [..............................] - ETA: 1:35 - loss: 163.3888 - logits_profile_predictions_loss: 162.5987 - logcount_predictions_loss: 0.1463 24/714 [>.............................] - ETA: 1:35 - loss: 163.3787 - 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- logcount_predictions_loss: 0.1484 38/714 [>.............................] - ETA: 1:33 - loss: 163.4354 - logits_profile_predictions_loss: 162.6334 - logcount_predictions_loss: 0.1485 39/714 [>.............................] - ETA: 1:33 - loss: 163.4532 - logits_profile_predictions_loss: 162.6506 - logcount_predictions_loss: 0.1486 40/714 [>.............................] - ETA: 1:33 - loss: 163.4709 - logits_profile_predictions_loss: 162.6676 - logcount_predictions_loss: 0.1488 41/714 [>.............................] - ETA: 1:33 - loss: 163.4830 - logits_profile_predictions_loss: 162.6787 - logcount_predictions_loss: 0.1489 42/714 [>.............................] - ETA: 1:33 - loss: 163.4887 - logits_profile_predictions_loss: 162.6834 - logcount_predictions_loss: 0.1491 43/714 [>.............................] - ETA: 1:33 - loss: 163.4916 - logits_profile_predictions_loss: 162.6851 - logcount_predictions_loss: 0.1493 44/714 [>.............................] - ETA: 1:32 - loss: 163.4883 - 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[=>............................] - ETA: 1:32 - loss: 163.5041 - logits_profile_predictions_loss: 162.6884 - logcount_predictions_loss: 0.1511 52/714 [=>............................] - ETA: 1:32 - loss: 163.5086 - logits_profile_predictions_loss: 162.6919 - logcount_predictions_loss: 0.1512 53/714 [=>............................] - ETA: 1:31 - loss: 163.5103 - logits_profile_predictions_loss: 162.6927 - logcount_predictions_loss: 0.1514 54/714 [=>............................] - ETA: 1:31 - loss: 163.5065 - logits_profile_predictions_loss: 162.6879 - logcount_predictions_loss: 0.1516 55/714 [=>............................] - ETA: 1:31 - loss: 163.5040 - logits_profile_predictions_loss: 162.6845 - logcount_predictions_loss: 0.1518 56/714 [=>............................] - ETA: 1:31 - loss: 163.5088 - logits_profile_predictions_loss: 162.6884 - logcount_predictions_loss: 0.1519 57/714 [=>............................] - ETA: 1:31 - loss: 163.5171 - logits_profile_predictions_loss: 162.6958 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[=>............................] - ETA: 1:29 - loss: 163.5014 - logits_profile_predictions_loss: 162.6707 - logcount_predictions_loss: 0.1538 72/714 [==>...........................] - ETA: 1:29 - loss: 163.5016 - logits_profile_predictions_loss: 162.6703 - logcount_predictions_loss: 0.1539 73/714 [==>...........................] - ETA: 1:29 - loss: 163.4982 - logits_profile_predictions_loss: 162.6664 - logcount_predictions_loss: 0.1540 74/714 [==>...........................] - ETA: 1:28 - loss: 163.4952 - logits_profile_predictions_loss: 162.6628 - logcount_predictions_loss: 0.1541 75/714 [==>...........................] - ETA: 1:28 - loss: 163.4913 - logits_profile_predictions_loss: 162.6584 - logcount_predictions_loss: 0.1542 76/714 [==>...........................] - ETA: 1:28 - loss: 163.4874 - logits_profile_predictions_loss: 162.6540 - logcount_predictions_loss: 0.1543 77/714 [==>...........................] - ETA: 1:28 - loss: 163.4847 - logits_profile_predictions_loss: 162.6509 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logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 691/714 [============================>.] - ETA: 3s - loss: 162.7133 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 692/714 [============================>.] - ETA: 3s - loss: 162.7133 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 693/714 [============================>.] - ETA: 2s - loss: 162.7133 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 694/714 [============================>.] - ETA: 2s - loss: 162.7133 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 695/714 [============================>.] - ETA: 2s - loss: 162.7133 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 696/714 [============================>.] - ETA: 2s - loss: 162.7133 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 697/714 [============================>.] - ETA: 2s - loss: 162.7133 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 698/714 [============================>.] - ETA: 2s - loss: 162.7133 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 699/714 [============================>.] - ETA: 2s - loss: 162.7132 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 700/714 [============================>.] - ETA: 1s - loss: 162.7133 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 701/714 [============================>.] - ETA: 1s - loss: 162.7133 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 702/714 [============================>.] - ETA: 1s - loss: 162.7132 - logits_profile_predictions_loss: 161.8497 - logcount_predictions_loss: 0.1599 703/714 [============================>.] - ETA: 1s - loss: 162.7132 - logits_profile_predictions_loss: 161.8497 - logcount_predictions_loss: 0.1599 704/714 [============================>.] - ETA: 1s - loss: 162.7133 - logits_profile_predictions_loss: 161.8497 - logcount_predictions_loss: 0.1599 705/714 [============================>.] - ETA: 1s - loss: 162.7133 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 706/714 [============================>.] - ETA: 1s - loss: 162.7133 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 707/714 [============================>.] - ETA: 0s - loss: 162.7134 - logits_profile_predictions_loss: 161.8498 - logcount_predictions_loss: 0.1599 708/714 [============================>.] - ETA: 0s - loss: 162.7134 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 709/714 [============================>.] - ETA: 0s - loss: 162.7135 - logits_profile_predictions_loss: 161.8499 - logcount_predictions_loss: 0.1599 710/714 [============================>.] - ETA: 0s - loss: 162.7136 - logits_profile_predictions_loss: 161.8500 - logcount_predictions_loss: 0.1599 711/714 [============================>.] - ETA: 0s - loss: 162.7136 - logits_profile_predictions_loss: 161.8500 - logcount_predictions_loss: 0.1599 712/714 [============================>.] - ETA: 0s - loss: 162.7137 - logits_profile_predictions_loss: 161.8501 - logcount_predictions_loss: 0.1599 713/714 [============================>.] - ETA: 0s - loss: 162.7138 - logits_profile_predictions_loss: 161.8501 - logcount_predictions_loss: 0.1599 714/714 [==============================] - ETA: 0s - loss: 162.7138 - logits_profile_predictions_loss: 161.8502 - logcount_predictions_loss: 0.1599 714/714 [==============================] - 103s 145ms/step - loss: 162.7139 - logits_profile_predictions_loss: 161.8503 - logcount_predictions_loss: 0.1599 - val_loss: 172.6129 - val_logits_profile_predictions_loss: 171.5903 - val_logcount_predictions_loss: 0.1894 + +Epoch 00009: val_loss did not improve from 172.20396 +Epoch 10/50 + 1/714 [..............................] - ETA: 1:48 - loss: 167.6906 - logits_profile_predictions_loss: 166.7350 - logcount_predictions_loss: 0.1770 2/714 [..............................] - ETA: 1:39 - loss: 162.7630 - logits_profile_predictions_loss: 161.8478 - logcount_predictions_loss: 0.1695 3/714 [..............................] - ETA: 1:38 - loss: 160.2902 - logits_profile_predictions_loss: 159.3908 - logcount_predictions_loss: 0.1665 4/714 [..............................] - ETA: 1:38 - loss: 159.6747 - logits_profile_predictions_loss: 158.7942 - logcount_predictions_loss: 0.1631 5/714 [..............................] - ETA: 1:38 - loss: 159.2938 - logits_profile_predictions_loss: 158.4091 - logcount_predictions_loss: 0.1638 6/714 [..............................] - ETA: 1:38 - loss: 159.1935 - logits_profile_predictions_loss: 158.3078 - logcount_predictions_loss: 0.1640 7/714 [..............................] - ETA: 1:38 - loss: 159.1176 - logits_profile_predictions_loss: 158.2368 - logcount_predictions_loss: 0.1631 8/714 [..............................] - ETA: 1:37 - loss: 158.9672 - logits_profile_predictions_loss: 158.0865 - logcount_predictions_loss: 0.1631 9/714 [..............................] - ETA: 1:37 - loss: 158.9030 - logits_profile_predictions_loss: 158.0189 - logcount_predictions_loss: 0.1637 10/714 [..............................] - ETA: 1:37 - loss: 158.8013 - logits_profile_predictions_loss: 157.9183 - logcount_predictions_loss: 0.1635 11/714 [..............................] - ETA: 1:37 - loss: 158.7512 - logits_profile_predictions_loss: 157.8691 - logcount_predictions_loss: 0.1633 12/714 [..............................] - ETA: 1:37 - loss: 158.7015 - logits_profile_predictions_loss: 157.8207 - logcount_predictions_loss: 0.1631 13/714 [..............................] - ETA: 1:37 - loss: 158.7382 - logits_profile_predictions_loss: 157.8571 - logcount_predictions_loss: 0.1632 14/714 [..............................] - ETA: 1:37 - loss: 158.8451 - logits_profile_predictions_loss: 157.9630 - logcount_predictions_loss: 0.1634 15/714 [..............................] - ETA: 1:36 - loss: 158.9192 - logits_profile_predictions_loss: 158.0369 - logcount_predictions_loss: 0.1634 16/714 [..............................] - ETA: 1:36 - loss: 158.9366 - logits_profile_predictions_loss: 158.0546 - logcount_predictions_loss: 0.1633 17/714 [..............................] - ETA: 1:36 - loss: 158.9810 - logits_profile_predictions_loss: 158.0988 - logcount_predictions_loss: 0.1634 18/714 [..............................] - ETA: 1:36 - loss: 159.0320 - logits_profile_predictions_loss: 158.1498 - logcount_predictions_loss: 0.1634 19/714 [..............................] - ETA: 1:36 - loss: 159.0690 - logits_profile_predictions_loss: 158.1871 - logcount_predictions_loss: 0.1633 20/714 [..............................] - ETA: 1:36 - loss: 159.1221 - logits_profile_predictions_loss: 158.2405 - logcount_predictions_loss: 0.1633 21/714 [..............................] - ETA: 1:36 - loss: 159.1359 - logits_profile_predictions_loss: 158.2552 - logcount_predictions_loss: 0.1631 22/714 [..............................] - ETA: 1:35 - loss: 159.1540 - logits_profile_predictions_loss: 158.2743 - logcount_predictions_loss: 0.1629 23/714 [..............................] - ETA: 1:35 - loss: 159.1817 - logits_profile_predictions_loss: 158.3027 - logcount_predictions_loss: 0.1628 24/714 [>.............................] - ETA: 1:35 - loss: 159.2007 - logits_profile_predictions_loss: 158.3227 - logcount_predictions_loss: 0.1626 25/714 [>.............................] - ETA: 1:35 - loss: 159.2448 - logits_profile_predictions_loss: 158.3680 - logcount_predictions_loss: 0.1624 26/714 [>.............................] - ETA: 1:35 - loss: 159.2855 - logits_profile_predictions_loss: 158.4099 - logcount_predictions_loss: 0.1621 27/714 [>.............................] - ETA: 1:35 - loss: 159.3154 - logits_profile_predictions_loss: 158.4406 - logcount_predictions_loss: 0.1620 28/714 [>.............................] - ETA: 1:35 - loss: 159.3471 - logits_profile_predictions_loss: 158.4733 - logcount_predictions_loss: 0.1618 29/714 [>.............................] - ETA: 1:35 - loss: 159.3851 - logits_profile_predictions_loss: 158.5118 - logcount_predictions_loss: 0.1617 30/714 [>.............................] - ETA: 1:34 - loss: 159.4007 - logits_profile_predictions_loss: 158.5260 - logcount_predictions_loss: 0.1620 31/714 [>.............................] - ETA: 1:34 - loss: 159.4126 - logits_profile_predictions_loss: 158.5368 - logcount_predictions_loss: 0.1622 32/714 [>.............................] - ETA: 1:34 - loss: 159.4234 - logits_profile_predictions_loss: 158.5465 - logcount_predictions_loss: 0.1624 33/714 [>.............................] - ETA: 1:34 - loss: 159.4349 - logits_profile_predictions_loss: 158.5570 - logcount_predictions_loss: 0.1626 34/714 [>.............................] - ETA: 1:34 - loss: 159.4486 - logits_profile_predictions_loss: 158.5699 - logcount_predictions_loss: 0.1627 35/714 [>.............................] - ETA: 1:34 - loss: 159.4517 - logits_profile_predictions_loss: 158.5723 - logcount_predictions_loss: 0.1629 36/714 [>.............................] - ETA: 1:34 - loss: 159.4568 - logits_profile_predictions_loss: 158.5766 - logcount_predictions_loss: 0.1630 37/714 [>.............................] - ETA: 1:33 - loss: 159.4690 - logits_profile_predictions_loss: 158.5884 - logcount_predictions_loss: 0.1631 38/714 [>.............................] - ETA: 1:33 - loss: 159.4842 - logits_profile_predictions_loss: 158.6033 - logcount_predictions_loss: 0.1631 39/714 [>.............................] - ETA: 1:33 - loss: 159.4941 - logits_profile_predictions_loss: 158.6129 - logcount_predictions_loss: 0.1632 40/714 [>.............................] - ETA: 1:33 - loss: 159.5100 - logits_profile_predictions_loss: 158.6286 - logcount_predictions_loss: 0.1632 41/714 [>.............................] - ETA: 1:33 - loss: 159.5202 - logits_profile_predictions_loss: 158.6389 - logcount_predictions_loss: 0.1632 42/714 [>.............................] - ETA: 1:33 - loss: 159.5265 - logits_profile_predictions_loss: 158.6453 - logcount_predictions_loss: 0.1632 43/714 [>.............................] - ETA: 1:33 - loss: 159.5350 - logits_profile_predictions_loss: 158.6536 - logcount_predictions_loss: 0.1632 44/714 [>.............................] - ETA: 1:32 - loss: 159.5452 - logits_profile_predictions_loss: 158.6637 - logcount_predictions_loss: 0.1632 45/714 [>.............................] - ETA: 1:32 - loss: 159.5546 - logits_profile_predictions_loss: 158.6729 - logcount_predictions_loss: 0.1633 46/714 [>.............................] - ETA: 1:32 - loss: 159.5653 - logits_profile_predictions_loss: 158.6836 - logcount_predictions_loss: 0.1633 47/714 [>.............................] - ETA: 1:32 - loss: 159.5778 - logits_profile_predictions_loss: 158.6961 - logcount_predictions_loss: 0.1633 48/714 [=>............................] - ETA: 1:32 - loss: 159.5925 - logits_profile_predictions_loss: 158.7109 - logcount_predictions_loss: 0.1633 49/714 [=>............................] - ETA: 1:32 - loss: 159.6074 - logits_profile_predictions_loss: 158.7258 - logcount_predictions_loss: 0.1633 50/714 [=>............................] - ETA: 1:32 - loss: 159.6206 - logits_profile_predictions_loss: 158.7393 - logcount_predictions_loss: 0.1632 51/714 [=>............................] - ETA: 1:32 - loss: 159.6352 - logits_profile_predictions_loss: 158.7539 - logcount_predictions_loss: 0.1632 52/714 [=>............................] - ETA: 1:31 - loss: 159.6479 - logits_profile_predictions_loss: 158.7665 - logcount_predictions_loss: 0.1632 53/714 [=>............................] - ETA: 1:31 - loss: 159.6625 - logits_profile_predictions_loss: 158.7810 - logcount_predictions_loss: 0.1632 54/714 [=>............................] - ETA: 1:31 - loss: 159.6780 - logits_profile_predictions_loss: 158.7964 - logcount_predictions_loss: 0.1633 55/714 [=>............................] - ETA: 1:31 - loss: 159.6929 - logits_profile_predictions_loss: 158.8111 - logcount_predictions_loss: 0.1633 56/714 [=>............................] - ETA: 1:31 - loss: 159.7039 - logits_profile_predictions_loss: 158.8219 - logcount_predictions_loss: 0.1633 57/714 [=>............................] - ETA: 1:31 - loss: 159.7154 - logits_profile_predictions_loss: 158.8333 - logcount_predictions_loss: 0.1633 58/714 [=>............................] - ETA: 1:31 - loss: 159.7256 - logits_profile_predictions_loss: 158.8434 - logcount_predictions_loss: 0.1634 59/714 [=>............................] - ETA: 1:30 - loss: 159.7368 - logits_profile_predictions_loss: 158.8545 - logcount_predictions_loss: 0.1634 60/714 [=>............................] - ETA: 1:30 - loss: 159.7457 - logits_profile_predictions_loss: 158.8633 - logcount_predictions_loss: 0.1634 61/714 [=>............................] - ETA: 1:30 - loss: 159.7543 - logits_profile_predictions_loss: 158.8718 - logcount_predictions_loss: 0.1634 62/714 [=>............................] - ETA: 1:30 - loss: 159.7644 - logits_profile_predictions_loss: 158.8817 - logcount_predictions_loss: 0.1635 63/714 [=>............................] - ETA: 1:30 - loss: 159.7745 - logits_profile_predictions_loss: 158.8918 - logcount_predictions_loss: 0.1635 64/714 [=>............................] - ETA: 1:30 - loss: 159.7856 - logits_profile_predictions_loss: 158.9028 - logcount_predictions_loss: 0.1635 65/714 [=>............................] - ETA: 1:30 - loss: 159.8001 - logits_profile_predictions_loss: 158.9172 - logcount_predictions_loss: 0.1635 66/714 [=>............................] - ETA: 1:29 - loss: 159.8145 - logits_profile_predictions_loss: 158.9316 - logcount_predictions_loss: 0.1635 67/714 [=>............................] - ETA: 1:29 - loss: 159.8263 - logits_profile_predictions_loss: 158.9433 - logcount_predictions_loss: 0.1635 68/714 [=>............................] - ETA: 1:29 - loss: 159.8370 - logits_profile_predictions_loss: 158.9540 - logcount_predictions_loss: 0.1635 69/714 [=>............................] - ETA: 1:29 - loss: 159.8490 - logits_profile_predictions_loss: 158.9659 - logcount_predictions_loss: 0.1635 70/714 [=>............................] - ETA: 1:29 - loss: 159.8590 - logits_profile_predictions_loss: 158.9758 - logcount_predictions_loss: 0.1635 71/714 [=>............................] - ETA: 1:29 - loss: 159.8664 - logits_profile_predictions_loss: 158.9831 - logcount_predictions_loss: 0.1636 72/714 [==>...........................] - ETA: 1:29 - loss: 159.8756 - logits_profile_predictions_loss: 158.9922 - logcount_predictions_loss: 0.1636 73/714 [==>...........................] - ETA: 1:28 - loss: 159.8856 - logits_profile_predictions_loss: 159.0021 - logcount_predictions_loss: 0.1636 74/714 [==>...........................] - ETA: 1:28 - loss: 159.8965 - logits_profile_predictions_loss: 159.0127 - logcount_predictions_loss: 0.1637 75/714 [==>...........................] - ETA: 1:28 - loss: 159.9058 - logits_profile_predictions_loss: 159.0220 - logcount_predictions_loss: 0.1637 76/714 [==>...........................] - ETA: 1:28 - loss: 159.9145 - logits_profile_predictions_loss: 159.0306 - logcount_predictions_loss: 0.1637 77/714 [==>...........................] - ETA: 1:28 - loss: 159.9229 - logits_profile_predictions_loss: 159.0390 - logcount_predictions_loss: 0.1637 78/714 [==>...........................] - ETA: 1:28 - loss: 159.9294 - logits_profile_predictions_loss: 159.0454 - logcount_predictions_loss: 0.1637 79/714 [==>...........................] - ETA: 1:28 - loss: 159.9356 - logits_profile_predictions_loss: 159.0516 - logcount_predictions_loss: 0.1637 80/714 [==>...........................] - ETA: 1:27 - loss: 159.9425 - logits_profile_predictions_loss: 159.0585 - logcount_predictions_loss: 0.1637 81/714 [==>...........................] - ETA: 1:27 - loss: 159.9505 - logits_profile_predictions_loss: 159.0665 - logcount_predictions_loss: 0.1637 82/714 [==>...........................] - ETA: 1:27 - loss: 159.9585 - logits_profile_predictions_loss: 159.0744 - logcount_predictions_loss: 0.1637 83/714 [==>...........................] - ETA: 1:27 - loss: 159.9660 - logits_profile_predictions_loss: 159.0819 - logcount_predictions_loss: 0.1637 84/714 [==>...........................] - ETA: 1:27 - loss: 159.9754 - logits_profile_predictions_loss: 159.0912 - logcount_predictions_loss: 0.1637 85/714 [==>...........................] - ETA: 1:27 - loss: 159.9843 - logits_profile_predictions_loss: 159.1001 - logcount_predictions_loss: 0.1637 86/714 [==>...........................] - ETA: 1:27 - loss: 159.9925 - logits_profile_predictions_loss: 159.1082 - logcount_predictions_loss: 0.1638 87/714 [==>...........................] - ETA: 1:27 - loss: 159.9999 - logits_profile_predictions_loss: 159.1156 - logcount_predictions_loss: 0.1638 88/714 [==>...........................] - ETA: 1:26 - loss: 160.0082 - logits_profile_predictions_loss: 159.1238 - logcount_predictions_loss: 0.1638 89/714 [==>...........................] - ETA: 1:26 - loss: 160.0159 - logits_profile_predictions_loss: 159.1314 - logcount_predictions_loss: 0.1638 90/714 [==>...........................] - ETA: 1:26 - loss: 160.0244 - logits_profile_predictions_loss: 159.1398 - logcount_predictions_loss: 0.1638 91/714 [==>...........................] - ETA: 1:26 - loss: 160.0319 - logits_profile_predictions_loss: 159.1472 - logcount_predictions_loss: 0.1638 92/714 [==>...........................] - ETA: 1:26 - loss: 160.0374 - logits_profile_predictions_loss: 159.1526 - logcount_predictions_loss: 0.1639 93/714 [==>...........................] - ETA: 1:26 - loss: 160.0438 - logits_profile_predictions_loss: 159.1588 - logcount_predictions_loss: 0.1639 94/714 [==>...........................] - ETA: 1:26 - loss: 160.0497 - logits_profile_predictions_loss: 159.1646 - logcount_predictions_loss: 0.1639 95/714 [==>...........................] - ETA: 1:25 - loss: 160.0566 - logits_profile_predictions_loss: 159.1713 - logcount_predictions_loss: 0.1639 96/714 [===>..........................] - ETA: 1:25 - loss: 160.0637 - logits_profile_predictions_loss: 159.1783 - logcount_predictions_loss: 0.1640 97/714 [===>..........................] - ETA: 1:25 - loss: 160.0712 - logits_profile_predictions_loss: 159.1857 - logcount_predictions_loss: 0.1640 98/714 [===>..........................] - ETA: 1:25 - loss: 160.0786 - logits_profile_predictions_loss: 159.1928 - logcount_predictions_loss: 0.1640 99/714 [===>..........................] - ETA: 1:25 - loss: 160.0856 - logits_profile_predictions_loss: 159.1998 - logcount_predictions_loss: 0.1640 100/714 [===>..........................] - ETA: 1:25 - loss: 160.0928 - logits_profile_predictions_loss: 159.2069 - logcount_predictions_loss: 0.1641 101/714 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[============================>.] - ETA: 0s - loss: 161.5264 - logits_profile_predictions_loss: 160.6460 - logcount_predictions_loss: 0.1630 708/714 [============================>.] - ETA: 0s - loss: 161.5275 - logits_profile_predictions_loss: 160.6471 - logcount_predictions_loss: 0.1630 709/714 [============================>.] - ETA: 0s - loss: 161.5286 - logits_profile_predictions_loss: 160.6482 - logcount_predictions_loss: 0.1630 710/714 [============================>.] - ETA: 0s - loss: 161.5296 - logits_profile_predictions_loss: 160.6493 - logcount_predictions_loss: 0.1630 711/714 [============================>.] - ETA: 0s - loss: 161.5307 - logits_profile_predictions_loss: 160.6504 - logcount_predictions_loss: 0.1630 712/714 [============================>.] - ETA: 0s - loss: 161.5318 - logits_profile_predictions_loss: 160.6514 - logcount_predictions_loss: 0.1630 713/714 [============================>.] - ETA: 0s - loss: 161.5329 - logits_profile_predictions_loss: 160.6525 - 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11/714 [..............................] - ETA: 1:37 - loss: 160.9828 - logits_profile_predictions_loss: 160.0649 - logcount_predictions_loss: 0.1700 12/714 [..............................] - ETA: 1:37 - loss: 161.0141 - logits_profile_predictions_loss: 160.0980 - logcount_predictions_loss: 0.1696 13/714 [..............................] - ETA: 1:37 - loss: 161.0527 - logits_profile_predictions_loss: 160.1361 - logcount_predictions_loss: 0.1698 14/714 [..............................] - ETA: 1:37 - loss: 161.0249 - logits_profile_predictions_loss: 160.1104 - logcount_predictions_loss: 0.1694 15/714 [..............................] - ETA: 1:37 - loss: 160.9956 - logits_profile_predictions_loss: 160.0838 - logcount_predictions_loss: 0.1689 16/714 [..............................] - ETA: 1:37 - loss: 160.9368 - logits_profile_predictions_loss: 160.0274 - logcount_predictions_loss: 0.1684 17/714 [..............................] - ETA: 1:36 - loss: 160.9167 - logits_profile_predictions_loss: 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161.1960 - logits_profile_predictions_loss: 160.3011 - logcount_predictions_loss: 0.1657 25/714 [>.............................] - ETA: 1:36 - loss: 161.2278 - logits_profile_predictions_loss: 160.3337 - logcount_predictions_loss: 0.1656 26/714 [>.............................] - ETA: 1:36 - loss: 161.2697 - logits_profile_predictions_loss: 160.3765 - logcount_predictions_loss: 0.1654 27/714 [>.............................] - ETA: 1:35 - loss: 161.2941 - logits_profile_predictions_loss: 160.4025 - logcount_predictions_loss: 0.1651 28/714 [>.............................] - ETA: 1:35 - loss: 161.3209 - logits_profile_predictions_loss: 160.4306 - logcount_predictions_loss: 0.1649 29/714 [>.............................] - ETA: 1:35 - loss: 161.3503 - logits_profile_predictions_loss: 160.4612 - logcount_predictions_loss: 0.1647 30/714 [>.............................] - ETA: 1:35 - loss: 161.3803 - logits_profile_predictions_loss: 160.4925 - logcount_predictions_loss: 0.1644 31/714 [>.............................] - ETA: 1:35 - loss: 161.4063 - logits_profile_predictions_loss: 160.5197 - logcount_predictions_loss: 0.1642 32/714 [>.............................] - ETA: 1:35 - loss: 161.4238 - logits_profile_predictions_loss: 160.5383 - logcount_predictions_loss: 0.1640 33/714 [>.............................] - ETA: 1:34 - loss: 161.4326 - logits_profile_predictions_loss: 160.5481 - logcount_predictions_loss: 0.1638 34/714 [>.............................] - ETA: 1:34 - loss: 161.4301 - logits_profile_predictions_loss: 160.5467 - logcount_predictions_loss: 0.1636 35/714 [>.............................] - ETA: 1:34 - loss: 161.4376 - logits_profile_predictions_loss: 160.5551 - logcount_predictions_loss: 0.1634 36/714 [>.............................] - ETA: 1:34 - loss: 161.4528 - logits_profile_predictions_loss: 160.5710 - logcount_predictions_loss: 0.1633 37/714 [>.............................] - ETA: 1:34 - loss: 161.4680 - logits_profile_predictions_loss: 160.5866 - logcount_predictions_loss: 0.1632 38/714 [>.............................] - ETA: 1:34 - loss: 161.4798 - logits_profile_predictions_loss: 160.5989 - logcount_predictions_loss: 0.1631 39/714 [>.............................] - ETA: 1:34 - loss: 161.4902 - logits_profile_predictions_loss: 160.6098 - logcount_predictions_loss: 0.1630 40/714 [>.............................] - ETA: 1:33 - loss: 161.4959 - logits_profile_predictions_loss: 160.6157 - logcount_predictions_loss: 0.1630 41/714 [>.............................] - ETA: 1:33 - loss: 161.4967 - logits_profile_predictions_loss: 160.6165 - logcount_predictions_loss: 0.1630 42/714 [>.............................] - ETA: 1:33 - loss: 161.4986 - logits_profile_predictions_loss: 160.6182 - logcount_predictions_loss: 0.1630 43/714 [>.............................] - ETA: 1:33 - loss: 161.4911 - logits_profile_predictions_loss: 160.6102 - logcount_predictions_loss: 0.1631 44/714 [>.............................] - ETA: 1:33 - loss: 161.4801 - 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[=>............................] - ETA: 1:32 - loss: 161.3783 - logits_profile_predictions_loss: 160.4957 - logcount_predictions_loss: 0.1634 52/714 [=>............................] - ETA: 1:32 - loss: 161.3653 - logits_profile_predictions_loss: 160.4825 - logcount_predictions_loss: 0.1635 53/714 [=>............................] - ETA: 1:32 - loss: 161.3523 - logits_profile_predictions_loss: 160.4693 - logcount_predictions_loss: 0.1635 54/714 [=>............................] - ETA: 1:31 - loss: 161.3385 - logits_profile_predictions_loss: 160.4554 - logcount_predictions_loss: 0.1635 55/714 [=>............................] - ETA: 1:31 - loss: 161.3205 - logits_profile_predictions_loss: 160.4374 - logcount_predictions_loss: 0.1636 56/714 [=>............................] - ETA: 1:31 - loss: 161.3046 - logits_profile_predictions_loss: 160.4214 - logcount_predictions_loss: 0.1636 57/714 [=>............................] - ETA: 1:31 - loss: 161.2871 - logits_profile_predictions_loss: 160.4038 - logcount_predictions_loss: 0.1636 58/714 [=>............................] - ETA: 1:31 - loss: 161.2683 - logits_profile_predictions_loss: 160.3850 - logcount_predictions_loss: 0.1636 59/714 [=>............................] - ETA: 1:31 - loss: 161.2499 - logits_profile_predictions_loss: 160.3665 - logcount_predictions_loss: 0.1636 60/714 [=>............................] - ETA: 1:30 - loss: 161.2334 - logits_profile_predictions_loss: 160.3500 - logcount_predictions_loss: 0.1636 61/714 [=>............................] - ETA: 1:30 - loss: 161.2201 - logits_profile_predictions_loss: 160.3366 - logcount_predictions_loss: 0.1636 62/714 [=>............................] - ETA: 1:30 - loss: 161.2056 - logits_profile_predictions_loss: 160.3222 - logcount_predictions_loss: 0.1636 63/714 [=>............................] - ETA: 1:30 - loss: 161.1902 - logits_profile_predictions_loss: 160.3068 - logcount_predictions_loss: 0.1636 64/714 [=>............................] - ETA: 1:30 - loss: 161.1733 - logits_profile_predictions_loss: 160.2898 - logcount_predictions_loss: 0.1636 65/714 [=>............................] - ETA: 1:30 - loss: 161.1567 - logits_profile_predictions_loss: 160.2732 - logcount_predictions_loss: 0.1636 66/714 [=>............................] - ETA: 1:30 - loss: 161.1431 - logits_profile_predictions_loss: 160.2595 - logcount_predictions_loss: 0.1636 67/714 [=>............................] - ETA: 1:30 - loss: 161.1279 - logits_profile_predictions_loss: 160.2443 - logcount_predictions_loss: 0.1636 68/714 [=>............................] - ETA: 1:29 - loss: 161.1140 - logits_profile_predictions_loss: 160.2305 - logcount_predictions_loss: 0.1636 69/714 [=>............................] - ETA: 1:29 - loss: 161.1027 - logits_profile_predictions_loss: 160.2191 - logcount_predictions_loss: 0.1636 70/714 [=>............................] - ETA: 1:29 - loss: 161.0957 - logits_profile_predictions_loss: 160.2121 - logcount_predictions_loss: 0.1636 71/714 [=>............................] - ETA: 1:29 - loss: 161.0899 - logits_profile_predictions_loss: 160.2061 - logcount_predictions_loss: 0.1637 72/714 [==>...........................] - ETA: 1:29 - loss: 161.0836 - logits_profile_predictions_loss: 160.1997 - logcount_predictions_loss: 0.1637 73/714 [==>...........................] - ETA: 1:29 - loss: 161.0772 - logits_profile_predictions_loss: 160.1933 - logcount_predictions_loss: 0.1637 74/714 [==>...........................] - ETA: 1:29 - loss: 161.0696 - logits_profile_predictions_loss: 160.1857 - logcount_predictions_loss: 0.1637 75/714 [==>...........................] - ETA: 1:28 - loss: 161.0617 - logits_profile_predictions_loss: 160.1777 - logcount_predictions_loss: 0.1637 76/714 [==>...........................] - ETA: 1:28 - loss: 161.0544 - logits_profile_predictions_loss: 160.1705 - logcount_predictions_loss: 0.1637 77/714 [==>...........................] - ETA: 1:28 - loss: 161.0453 - logits_profile_predictions_loss: 160.1614 - logcount_predictions_loss: 0.1637 78/714 [==>...........................] - ETA: 1:28 - loss: 161.0344 - logits_profile_predictions_loss: 160.1506 - logcount_predictions_loss: 0.1637 79/714 [==>...........................] - ETA: 1:28 - loss: 161.0249 - logits_profile_predictions_loss: 160.1412 - logcount_predictions_loss: 0.1637 80/714 [==>...........................] - ETA: 1:28 - loss: 161.0150 - logits_profile_predictions_loss: 160.1313 - logcount_predictions_loss: 0.1636 81/714 [==>...........................] - ETA: 1:28 - loss: 161.0076 - logits_profile_predictions_loss: 160.1241 - logcount_predictions_loss: 0.1636 82/714 [==>...........................] - ETA: 1:27 - loss: 160.9988 - logits_profile_predictions_loss: 160.1153 - logcount_predictions_loss: 0.1636 83/714 [==>...........................] - ETA: 1:27 - loss: 160.9908 - logits_profile_predictions_loss: 160.1075 - logcount_predictions_loss: 0.1636 84/714 [==>...........................] - ETA: 1:27 - loss: 160.9851 - logits_profile_predictions_loss: 160.1018 - logcount_predictions_loss: 0.1636 85/714 [==>...........................] - ETA: 1:27 - loss: 160.9780 - logits_profile_predictions_loss: 160.0947 - logcount_predictions_loss: 0.1636 86/714 [==>...........................] - ETA: 1:27 - loss: 160.9712 - logits_profile_predictions_loss: 160.0880 - logcount_predictions_loss: 0.1636 87/714 [==>...........................] - ETA: 1:27 - loss: 160.9658 - logits_profile_predictions_loss: 160.0827 - logcount_predictions_loss: 0.1636 88/714 [==>...........................] - ETA: 1:27 - loss: 160.9616 - logits_profile_predictions_loss: 160.0785 - logcount_predictions_loss: 0.1635 89/714 [==>...........................] - ETA: 1:26 - loss: 160.9571 - logits_profile_predictions_loss: 160.0740 - logcount_predictions_loss: 0.1635 90/714 [==>...........................] - ETA: 1:26 - loss: 160.9537 - logits_profile_predictions_loss: 160.0708 - logcount_predictions_loss: 0.1635 91/714 [==>...........................] - ETA: 1:26 - loss: 160.9518 - logits_profile_predictions_loss: 160.0690 - logcount_predictions_loss: 0.1635 92/714 [==>...........................] - ETA: 1:26 - loss: 160.9503 - logits_profile_predictions_loss: 160.0675 - logcount_predictions_loss: 0.1635 93/714 [==>...........................] - ETA: 1:26 - loss: 160.9486 - logits_profile_predictions_loss: 160.0659 - logcount_predictions_loss: 0.1635 94/714 [==>...........................] - ETA: 1:26 - loss: 160.9474 - logits_profile_predictions_loss: 160.0647 - logcount_predictions_loss: 0.1635 95/714 [==>...........................] - ETA: 1:26 - loss: 160.9460 - logits_profile_predictions_loss: 160.0635 - logcount_predictions_loss: 0.1634 96/714 [===>..........................] - ETA: 1:25 - loss: 160.9453 - logits_profile_predictions_loss: 160.0629 - logcount_predictions_loss: 0.1634 97/714 [===>..........................] - ETA: 1:25 - loss: 160.9454 - logits_profile_predictions_loss: 160.0631 - logcount_predictions_loss: 0.1634 98/714 [===>..........................] - ETA: 1:25 - loss: 160.9459 - logits_profile_predictions_loss: 160.0637 - logcount_predictions_loss: 0.1634 99/714 [===>..........................] - ETA: 1:25 - loss: 160.9461 - logits_profile_predictions_loss: 160.0641 - logcount_predictions_loss: 0.1634 100/714 [===>..........................] - ETA: 1:25 - loss: 160.9447 - logits_profile_predictions_loss: 160.0628 - logcount_predictions_loss: 0.1633 101/714 [===>..........................] - ETA: 1:25 - loss: 160.9427 - logits_profile_predictions_loss: 160.0609 - logcount_predictions_loss: 0.1633 102/714 [===>..........................] - ETA: 1:25 - loss: 160.9408 - logits_profile_predictions_loss: 160.0591 - logcount_predictions_loss: 0.1633 103/714 [===>..........................] - ETA: 1:24 - loss: 160.9392 - logits_profile_predictions_loss: 160.0577 - logcount_predictions_loss: 0.1632 104/714 [===>..........................] - ETA: 1:24 - loss: 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[===>..........................] - ETA: 1:23 - loss: 160.9182 - logits_profile_predictions_loss: 160.0381 - logcount_predictions_loss: 0.1630 112/714 [===>..........................] - ETA: 1:23 - loss: 160.9147 - logits_profile_predictions_loss: 160.0348 - logcount_predictions_loss: 0.1630 113/714 [===>..........................] - ETA: 1:23 - loss: 160.9114 - logits_profile_predictions_loss: 160.0317 - logcount_predictions_loss: 0.1629 114/714 [===>..........................] - ETA: 1:23 - loss: 160.9078 - logits_profile_predictions_loss: 160.0282 - logcount_predictions_loss: 0.1629 115/714 [===>..........................] - ETA: 1:23 - loss: 160.9044 - logits_profile_predictions_loss: 160.0250 - logcount_predictions_loss: 0.1629 116/714 [===>..........................] - ETA: 1:23 - loss: 160.9010 - logits_profile_predictions_loss: 160.0218 - logcount_predictions_loss: 0.1628 117/714 [===>..........................] - ETA: 1:23 - loss: 160.8975 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 160.5136 - logcount_predictions_loss: 0.1624 711/714 [============================>.] - ETA: 0s - loss: 161.3914 - logits_profile_predictions_loss: 160.5143 - logcount_predictions_loss: 0.1624 712/714 [============================>.] - ETA: 0s - loss: 161.3921 - logits_profile_predictions_loss: 160.5150 - logcount_predictions_loss: 0.1624 713/714 [============================>.] - ETA: 0s - loss: 161.3928 - logits_profile_predictions_loss: 160.5156 - logcount_predictions_loss: 0.1624 714/714 [==============================] - ETA: 0s - loss: 161.3934 - logits_profile_predictions_loss: 160.5163 - logcount_predictions_loss: 0.1624 714/714 [==============================] - 104s 145ms/step - loss: 161.3941 - logits_profile_predictions_loss: 160.5169 - logcount_predictions_loss: 0.1624 - val_loss: 173.1890 - val_logits_profile_predictions_loss: 172.3418 - val_logcount_predictions_loss: 0.1569 + +Epoch 00011: val_loss did not improve from 172.20396 +Epoch 12/50 + 1/714 [..............................] - ETA: 1:49 - loss: 163.4371 - logits_profile_predictions_loss: 162.6723 - logcount_predictions_loss: 0.1416 2/714 [..............................] - ETA: 1:38 - loss: 162.8349 - logits_profile_predictions_loss: 162.0945 - logcount_predictions_loss: 0.1371 3/714 [..............................] - ETA: 1:38 - loss: 162.2881 - logits_profile_predictions_loss: 161.5459 - logcount_predictions_loss: 0.1375 4/714 [..............................] - ETA: 1:38 - loss: 161.8873 - logits_profile_predictions_loss: 161.1372 - logcount_predictions_loss: 0.1389 5/714 [..............................] - ETA: 1:38 - loss: 161.9377 - logits_profile_predictions_loss: 161.1847 - logcount_predictions_loss: 0.1394 6/714 [..............................] - ETA: 1:38 - loss: 162.4526 - logits_profile_predictions_loss: 161.6999 - logcount_predictions_loss: 0.1394 7/714 [..............................] - ETA: 1:38 - loss: 162.9667 - logits_profile_predictions_loss: 162.2180 - logcount_predictions_loss: 0.1386 8/714 [..............................] - ETA: 1:37 - loss: 163.1799 - logits_profile_predictions_loss: 162.4374 - logcount_predictions_loss: 0.1375 9/714 [..............................] - ETA: 1:37 - loss: 163.3284 - logits_profile_predictions_loss: 162.5916 - logcount_predictions_loss: 0.1364 10/714 [..............................] - ETA: 1:37 - loss: 163.4294 - logits_profile_predictions_loss: 162.6962 - logcount_predictions_loss: 0.1358 11/714 [..............................] - ETA: 1:37 - loss: 163.4262 - logits_profile_predictions_loss: 162.6952 - logcount_predictions_loss: 0.1354 12/714 [..............................] - ETA: 1:37 - loss: 163.3580 - logits_profile_predictions_loss: 162.6296 - logcount_predictions_loss: 0.1349 13/714 [..............................] - ETA: 1:37 - loss: 163.3250 - logits_profile_predictions_loss: 162.5986 - logcount_predictions_loss: 0.1345 14/714 [..............................] - ETA: 1:37 - loss: 163.3561 - logits_profile_predictions_loss: 162.6307 - logcount_predictions_loss: 0.1343 15/714 [..............................] - ETA: 1:37 - loss: 163.3313 - logits_profile_predictions_loss: 162.6065 - logcount_predictions_loss: 0.1342 16/714 [..............................] - ETA: 1:36 - loss: 163.2786 - logits_profile_predictions_loss: 162.5545 - logcount_predictions_loss: 0.1341 17/714 [..............................] - ETA: 1:36 - loss: 163.2529 - logits_profile_predictions_loss: 162.5283 - logcount_predictions_loss: 0.1342 18/714 [..............................] - ETA: 1:36 - loss: 163.2277 - logits_profile_predictions_loss: 162.5021 - logcount_predictions_loss: 0.1344 19/714 [..............................] - ETA: 1:36 - loss: 163.1847 - logits_profile_predictions_loss: 162.4578 - logcount_predictions_loss: 0.1346 20/714 [..............................] - ETA: 1:36 - loss: 163.1270 - logits_profile_predictions_loss: 162.3987 - logcount_predictions_loss: 0.1349 21/714 [..............................] - ETA: 1:36 - loss: 163.0367 - logits_profile_predictions_loss: 162.3076 - logcount_predictions_loss: 0.1350 22/714 [..............................] - ETA: 1:36 - loss: 162.9560 - logits_profile_predictions_loss: 162.2262 - logcount_predictions_loss: 0.1351 23/714 [..............................] - ETA: 1:35 - loss: 162.8767 - logits_profile_predictions_loss: 162.1461 - logcount_predictions_loss: 0.1353 24/714 [>.............................] - ETA: 1:35 - loss: 162.8089 - logits_profile_predictions_loss: 162.0775 - logcount_predictions_loss: 0.1355 25/714 [>.............................] - ETA: 1:35 - loss: 162.7487 - logits_profile_predictions_loss: 162.0166 - logcount_predictions_loss: 0.1356 26/714 [>.............................] - ETA: 1:35 - loss: 162.6834 - logits_profile_predictions_loss: 161.9505 - logcount_predictions_loss: 0.1357 27/714 [>.............................] - ETA: 1:35 - loss: 162.6327 - logits_profile_predictions_loss: 161.8990 - logcount_predictions_loss: 0.1359 28/714 [>.............................] - ETA: 1:35 - loss: 162.5887 - logits_profile_predictions_loss: 161.8541 - logcount_predictions_loss: 0.1360 29/714 [>.............................] - ETA: 1:35 - loss: 162.5499 - logits_profile_predictions_loss: 161.8144 - logcount_predictions_loss: 0.1362 30/714 [>.............................] - ETA: 1:34 - loss: 162.5048 - logits_profile_predictions_loss: 161.7685 - logcount_predictions_loss: 0.1364 31/714 [>.............................] - ETA: 1:34 - loss: 162.4620 - logits_profile_predictions_loss: 161.7247 - logcount_predictions_loss: 0.1365 32/714 [>.............................] - ETA: 1:34 - loss: 162.4107 - logits_profile_predictions_loss: 161.6723 - logcount_predictions_loss: 0.1367 33/714 [>.............................] - ETA: 1:34 - loss: 162.3604 - logits_profile_predictions_loss: 161.6207 - logcount_predictions_loss: 0.1370 34/714 [>.............................] - ETA: 1:34 - loss: 162.3090 - logits_profile_predictions_loss: 161.5680 - logcount_predictions_loss: 0.1372 35/714 [>.............................] - ETA: 1:34 - loss: 162.2516 - logits_profile_predictions_loss: 161.5094 - logcount_predictions_loss: 0.1375 36/714 [>.............................] - ETA: 1:34 - loss: 162.1967 - logits_profile_predictions_loss: 161.4534 - logcount_predictions_loss: 0.1376 37/714 [>.............................] - ETA: 1:33 - loss: 162.1475 - logits_profile_predictions_loss: 161.4032 - logcount_predictions_loss: 0.1378 38/714 [>.............................] - ETA: 1:33 - loss: 162.1054 - logits_profile_predictions_loss: 161.3602 - logcount_predictions_loss: 0.1380 39/714 [>.............................] - ETA: 1:33 - loss: 162.0642 - logits_profile_predictions_loss: 161.3183 - logcount_predictions_loss: 0.1381 40/714 [>.............................] - ETA: 1:33 - loss: 162.0202 - logits_profile_predictions_loss: 161.2735 - logcount_predictions_loss: 0.1383 41/714 [>.............................] - ETA: 1:33 - loss: 161.9784 - logits_profile_predictions_loss: 161.2309 - logcount_predictions_loss: 0.1384 42/714 [>.............................] - ETA: 1:33 - loss: 161.9387 - logits_profile_predictions_loss: 161.1904 - logcount_predictions_loss: 0.1386 43/714 [>.............................] - ETA: 1:33 - loss: 161.8966 - logits_profile_predictions_loss: 161.1476 - logcount_predictions_loss: 0.1387 44/714 [>.............................] - ETA: 1:32 - loss: 161.8593 - logits_profile_predictions_loss: 161.1097 - logcount_predictions_loss: 0.1388 45/714 [>.............................] - ETA: 1:32 - loss: 161.8244 - logits_profile_predictions_loss: 161.0742 - logcount_predictions_loss: 0.1389 46/714 [>.............................] - ETA: 1:32 - loss: 161.7916 - logits_profile_predictions_loss: 161.0407 - logcount_predictions_loss: 0.1391 47/714 [>.............................] - ETA: 1:32 - loss: 161.7608 - logits_profile_predictions_loss: 161.0092 - logcount_predictions_loss: 0.1392 48/714 [=>............................] - ETA: 1:32 - loss: 161.7330 - logits_profile_predictions_loss: 160.9807 - logcount_predictions_loss: 0.1393 49/714 [=>............................] - ETA: 1:32 - loss: 161.7032 - logits_profile_predictions_loss: 160.9503 - logcount_predictions_loss: 0.1394 50/714 [=>............................] - ETA: 1:32 - loss: 161.6719 - logits_profile_predictions_loss: 160.9183 - logcount_predictions_loss: 0.1395 51/714 [=>............................] - ETA: 1:32 - loss: 161.6384 - logits_profile_predictions_loss: 160.8842 - logcount_predictions_loss: 0.1397 52/714 [=>............................] - ETA: 1:31 - loss: 161.6083 - logits_profile_predictions_loss: 160.8535 - logcount_predictions_loss: 0.1398 53/714 [=>............................] - ETA: 1:31 - loss: 161.5791 - logits_profile_predictions_loss: 160.8235 - logcount_predictions_loss: 0.1399 54/714 [=>............................] - ETA: 1:31 - loss: 161.5501 - logits_profile_predictions_loss: 160.7939 - logcount_predictions_loss: 0.1400 55/714 [=>............................] - ETA: 1:31 - loss: 161.5201 - logits_profile_predictions_loss: 160.7634 - logcount_predictions_loss: 0.1401 56/714 [=>............................] - ETA: 1:31 - loss: 161.4913 - logits_profile_predictions_loss: 160.7340 - logcount_predictions_loss: 0.1402 57/714 [=>............................] - ETA: 1:31 - loss: 161.4607 - logits_profile_predictions_loss: 160.7030 - logcount_predictions_loss: 0.1403 58/714 [=>............................] - ETA: 1:31 - loss: 161.4347 - logits_profile_predictions_loss: 160.6763 - logcount_predictions_loss: 0.1404 59/714 [=>............................] - ETA: 1:30 - loss: 161.4102 - logits_profile_predictions_loss: 160.6512 - logcount_predictions_loss: 0.1406 60/714 [=>............................] - ETA: 1:30 - loss: 161.3817 - logits_profile_predictions_loss: 160.6219 - logcount_predictions_loss: 0.1407 61/714 [=>............................] - ETA: 1:30 - loss: 161.3567 - logits_profile_predictions_loss: 160.5961 - logcount_predictions_loss: 0.1409 62/714 [=>............................] - ETA: 1:30 - loss: 161.3320 - logits_profile_predictions_loss: 160.5707 - logcount_predictions_loss: 0.1410 63/714 [=>............................] - ETA: 1:30 - loss: 161.3110 - logits_profile_predictions_loss: 160.5491 - logcount_predictions_loss: 0.1411 64/714 [=>............................] - ETA: 1:30 - loss: 161.2903 - logits_profile_predictions_loss: 160.5278 - logcount_predictions_loss: 0.1412 65/714 [=>............................] - ETA: 1:30 - loss: 161.2694 - logits_profile_predictions_loss: 160.5064 - logcount_predictions_loss: 0.1413 66/714 [=>............................] - ETA: 1:29 - loss: 161.2515 - logits_profile_predictions_loss: 160.4881 - logcount_predictions_loss: 0.1414 67/714 [=>............................] - ETA: 1:29 - loss: 161.2352 - logits_profile_predictions_loss: 160.4714 - logcount_predictions_loss: 0.1414 68/714 [=>............................] - ETA: 1:29 - loss: 161.2166 - logits_profile_predictions_loss: 160.4525 - logcount_predictions_loss: 0.1415 69/714 [=>............................] - ETA: 1:29 - loss: 161.1976 - logits_profile_predictions_loss: 160.4331 - logcount_predictions_loss: 0.1416 70/714 [=>............................] - ETA: 1:29 - loss: 161.1773 - logits_profile_predictions_loss: 160.4124 - logcount_predictions_loss: 0.1417 71/714 [=>............................] - ETA: 1:29 - loss: 161.1588 - logits_profile_predictions_loss: 160.3934 - logcount_predictions_loss: 0.1417 72/714 [==>...........................] - ETA: 1:29 - loss: 161.1401 - logits_profile_predictions_loss: 160.3743 - logcount_predictions_loss: 0.1418 73/714 [==>...........................] - ETA: 1:28 - loss: 161.1210 - logits_profile_predictions_loss: 160.3548 - logcount_predictions_loss: 0.1419 74/714 [==>...........................] - ETA: 1:28 - loss: 161.1038 - logits_profile_predictions_loss: 160.3371 - logcount_predictions_loss: 0.1420 75/714 [==>...........................] - ETA: 1:28 - loss: 161.0855 - logits_profile_predictions_loss: 160.3183 - logcount_predictions_loss: 0.1421 76/714 [==>...........................] - ETA: 1:28 - loss: 161.0680 - logits_profile_predictions_loss: 160.3004 - logcount_predictions_loss: 0.1422 77/714 [==>...........................] - ETA: 1:28 - loss: 161.0506 - logits_profile_predictions_loss: 160.2826 - logcount_predictions_loss: 0.1422 78/714 [==>...........................] - ETA: 1:28 - loss: 161.0329 - logits_profile_predictions_loss: 160.2645 - logcount_predictions_loss: 0.1423 79/714 [==>...........................] - ETA: 1:28 - loss: 161.0152 - logits_profile_predictions_loss: 160.2464 - logcount_predictions_loss: 0.1424 80/714 [==>...........................] - ETA: 1:28 - loss: 160.9976 - logits_profile_predictions_loss: 160.2285 - logcount_predictions_loss: 0.1424 81/714 [==>...........................] - ETA: 1:27 - loss: 160.9797 - logits_profile_predictions_loss: 160.2103 - logcount_predictions_loss: 0.1425 82/714 [==>...........................] - ETA: 1:27 - loss: 160.9623 - logits_profile_predictions_loss: 160.1927 - logcount_predictions_loss: 0.1425 83/714 [==>...........................] - ETA: 1:27 - loss: 160.9443 - logits_profile_predictions_loss: 160.1744 - logcount_predictions_loss: 0.1426 84/714 [==>...........................] - ETA: 1:27 - loss: 160.9266 - logits_profile_predictions_loss: 160.1566 - logcount_predictions_loss: 0.1426 85/714 [==>...........................] - ETA: 1:27 - loss: 160.9082 - logits_profile_predictions_loss: 160.1380 - logcount_predictions_loss: 0.1426 86/714 [==>...........................] - ETA: 1:27 - loss: 160.8924 - logits_profile_predictions_loss: 160.1220 - logcount_predictions_loss: 0.1427 87/714 [==>...........................] - ETA: 1:27 - loss: 160.8783 - logits_profile_predictions_loss: 160.1076 - logcount_predictions_loss: 0.1427 88/714 [==>...........................] - ETA: 1:26 - loss: 160.8649 - logits_profile_predictions_loss: 160.0940 - logcount_predictions_loss: 0.1428 89/714 [==>...........................] - ETA: 1:26 - loss: 160.8513 - logits_profile_predictions_loss: 160.0803 - logcount_predictions_loss: 0.1428 90/714 [==>...........................] - ETA: 1:26 - loss: 160.8376 - logits_profile_predictions_loss: 160.0664 - logcount_predictions_loss: 0.1428 91/714 [==>...........................] - ETA: 1:26 - loss: 160.8230 - logits_profile_predictions_loss: 160.0517 - logcount_predictions_loss: 0.1428 92/714 [==>...........................] - ETA: 1:26 - loss: 160.8077 - logits_profile_predictions_loss: 160.0363 - logcount_predictions_loss: 0.1429 93/714 [==>...........................] - ETA: 1:26 - loss: 160.7923 - logits_profile_predictions_loss: 160.0207 - logcount_predictions_loss: 0.1429 94/714 [==>...........................] - ETA: 1:26 - loss: 160.7768 - logits_profile_predictions_loss: 160.0050 - logcount_predictions_loss: 0.1429 95/714 [==>...........................] - ETA: 1:25 - loss: 160.7607 - logits_profile_predictions_loss: 159.9889 - logcount_predictions_loss: 0.1429 96/714 [===>..........................] - ETA: 1:25 - loss: 160.7459 - logits_profile_predictions_loss: 159.9739 - logcount_predictions_loss: 0.1430 97/714 [===>..........................] - ETA: 1:25 - loss: 160.7308 - logits_profile_predictions_loss: 159.9587 - logcount_predictions_loss: 0.1430 98/714 [===>..........................] - ETA: 1:25 - loss: 160.7158 - logits_profile_predictions_loss: 159.9435 - logcount_predictions_loss: 0.1430 99/714 [===>..........................] - ETA: 1:25 - loss: 160.7015 - logits_profile_predictions_loss: 159.9291 - logcount_predictions_loss: 0.1430 100/714 [===>..........................] - ETA: 1:25 - loss: 160.6894 - logits_profile_predictions_loss: 159.9168 - logcount_predictions_loss: 0.1431 101/714 [===>..........................] - ETA: 1:25 - loss: 160.6755 - logits_profile_predictions_loss: 159.9028 - logcount_predictions_loss: 0.1431 102/714 [===>..........................] - ETA: 1:24 - loss: 160.6608 - logits_profile_predictions_loss: 159.8880 - logcount_predictions_loss: 0.1431 103/714 [===>..........................] - ETA: 1:24 - loss: 160.6466 - logits_profile_predictions_loss: 159.8736 - logcount_predictions_loss: 0.1431 104/714 [===>..........................] - ETA: 1:24 - loss: 160.6327 - logits_profile_predictions_loss: 159.8595 - logcount_predictions_loss: 0.1432 105/714 [===>..........................] - ETA: 1:24 - loss: 160.6194 - logits_profile_predictions_loss: 159.8461 - logcount_predictions_loss: 0.1432 106/714 [===>..........................] - ETA: 1:24 - loss: 160.6065 - logits_profile_predictions_loss: 159.8330 - logcount_predictions_loss: 0.1432 107/714 [===>..........................] - ETA: 1:24 - loss: 160.5934 - logits_profile_predictions_loss: 159.8198 - logcount_predictions_loss: 0.1432 108/714 [===>..........................] - ETA: 1:24 - loss: 160.5801 - logits_profile_predictions_loss: 159.8065 - logcount_predictions_loss: 0.1433 109/714 [===>..........................] - ETA: 1:23 - loss: 160.5670 - logits_profile_predictions_loss: 159.7933 - logcount_predictions_loss: 0.1433 110/714 [===>..........................] - ETA: 1:23 - loss: 160.5546 - logits_profile_predictions_loss: 159.7807 - logcount_predictions_loss: 0.1433 111/714 [===>..........................] - ETA: 1:23 - loss: 160.5426 - logits_profile_predictions_loss: 159.7686 - logcount_predictions_loss: 0.1433 112/714 [===>..........................] - ETA: 1:23 - loss: 160.5319 - logits_profile_predictions_loss: 159.7579 - logcount_predictions_loss: 0.1433 113/714 [===>..........................] - ETA: 1:23 - loss: 160.5215 - logits_profile_predictions_loss: 159.7474 - logcount_predictions_loss: 0.1434 114/714 [===>..........................] - ETA: 1:23 - loss: 160.5104 - logits_profile_predictions_loss: 159.7361 - logcount_predictions_loss: 0.1434 115/714 [===>..........................] - ETA: 1:23 - loss: 160.4993 - logits_profile_predictions_loss: 159.7249 - logcount_predictions_loss: 0.1434 116/714 [===>..........................] - ETA: 1:23 - loss: 160.4889 - logits_profile_predictions_loss: 159.7145 - logcount_predictions_loss: 0.1434 117/714 [===>..........................] - ETA: 1:22 - loss: 160.4791 - logits_profile_predictions_loss: 159.7046 - logcount_predictions_loss: 0.1434 118/714 [===>..........................] - ETA: 1:22 - loss: 160.4691 - logits_profile_predictions_loss: 159.6945 - logcount_predictions_loss: 0.1434 119/714 [====>.........................] - ETA: 1:22 - loss: 160.4594 - logits_profile_predictions_loss: 159.6848 - logcount_predictions_loss: 0.1435 120/714 [====>.........................] - ETA: 1:22 - loss: 160.4504 - logits_profile_predictions_loss: 159.6757 - logcount_predictions_loss: 0.1435 121/714 [====>.........................] - ETA: 1:22 - loss: 160.4419 - logits_profile_predictions_loss: 159.6671 - logcount_predictions_loss: 0.1435 122/714 [====>.........................] - ETA: 1:22 - loss: 160.4332 - logits_profile_predictions_loss: 159.6583 - logcount_predictions_loss: 0.1435 123/714 [====>.........................] - ETA: 1:22 - loss: 160.4243 - logits_profile_predictions_loss: 159.6493 - logcount_predictions_loss: 0.1435 124/714 [====>.........................] - ETA: 1:21 - loss: 160.4157 - logits_profile_predictions_loss: 159.6407 - logcount_predictions_loss: 0.1435 125/714 [====>.........................] - ETA: 1:21 - loss: 160.4070 - logits_profile_predictions_loss: 159.6319 - logcount_predictions_loss: 0.1435 126/714 [====>.........................] - ETA: 1:21 - loss: 160.3987 - logits_profile_predictions_loss: 159.6235 - logcount_predictions_loss: 0.1435 127/714 [====>.........................] - ETA: 1:21 - loss: 160.3911 - 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11/714 [..............................] - ETA: 1:38 - loss: 161.1252 - logits_profile_predictions_loss: 160.3542 - logcount_predictions_loss: 0.1428 12/714 [..............................] - ETA: 1:37 - loss: 160.9923 - logits_profile_predictions_loss: 160.2233 - logcount_predictions_loss: 0.1424 13/714 [..............................] - ETA: 1:37 - loss: 160.8918 - logits_profile_predictions_loss: 160.1244 - logcount_predictions_loss: 0.1421 14/714 [..............................] - ETA: 1:37 - loss: 160.8190 - logits_profile_predictions_loss: 160.0540 - logcount_predictions_loss: 0.1417 15/714 [..............................] - ETA: 1:37 - loss: 160.7503 - logits_profile_predictions_loss: 159.9864 - logcount_predictions_loss: 0.1415 16/714 [..............................] - ETA: 1:37 - loss: 160.7045 - logits_profile_predictions_loss: 159.9419 - logcount_predictions_loss: 0.1412 17/714 [..............................] - ETA: 1:37 - loss: 160.6598 - logits_profile_predictions_loss: 159.8983 - logcount_predictions_loss: 0.1410 18/714 [..............................] - ETA: 1:36 - loss: 160.6038 - logits_profile_predictions_loss: 159.8421 - logcount_predictions_loss: 0.1410 19/714 [..............................] - ETA: 1:36 - loss: 160.5633 - logits_profile_predictions_loss: 159.8016 - logcount_predictions_loss: 0.1411 20/714 [..............................] - ETA: 1:36 - loss: 160.5430 - logits_profile_predictions_loss: 159.7819 - logcount_predictions_loss: 0.1410 21/714 [..............................] - ETA: 1:36 - loss: 160.5064 - logits_profile_predictions_loss: 159.7453 - logcount_predictions_loss: 0.1409 22/714 [..............................] - ETA: 1:36 - loss: 160.4530 - logits_profile_predictions_loss: 159.6922 - logcount_predictions_loss: 0.1409 23/714 [..............................] - ETA: 1:36 - loss: 160.4138 - logits_profile_predictions_loss: 159.6535 - logcount_predictions_loss: 0.1408 24/714 [>.............................] - ETA: 1:35 - loss: 160.3954 - logits_profile_predictions_loss: 159.6356 - logcount_predictions_loss: 0.1407 25/714 [>.............................] - ETA: 1:35 - loss: 160.3699 - logits_profile_predictions_loss: 159.6109 - logcount_predictions_loss: 0.1406 26/714 [>.............................] - ETA: 1:35 - loss: 160.3312 - logits_profile_predictions_loss: 159.5731 - logcount_predictions_loss: 0.1404 27/714 [>.............................] - ETA: 1:35 - loss: 160.3054 - logits_profile_predictions_loss: 159.5485 - logcount_predictions_loss: 0.1402 28/714 [>.............................] - ETA: 1:35 - loss: 160.2698 - logits_profile_predictions_loss: 159.5136 - logcount_predictions_loss: 0.1400 29/714 [>.............................] - ETA: 1:35 - loss: 160.2389 - logits_profile_predictions_loss: 159.4833 - logcount_predictions_loss: 0.1399 30/714 [>.............................] - ETA: 1:35 - loss: 160.2029 - logits_profile_predictions_loss: 159.4481 - logcount_predictions_loss: 0.1398 31/714 [>.............................] - ETA: 1:34 - loss: 160.1804 - logits_profile_predictions_loss: 159.4258 - logcount_predictions_loss: 0.1397 32/714 [>.............................] - ETA: 1:34 - loss: 160.1489 - logits_profile_predictions_loss: 159.3945 - logcount_predictions_loss: 0.1397 33/714 [>.............................] - ETA: 1:34 - loss: 160.1150 - logits_profile_predictions_loss: 159.3611 - logcount_predictions_loss: 0.1396 34/714 [>.............................] - ETA: 1:34 - loss: 160.0731 - logits_profile_predictions_loss: 159.3197 - logcount_predictions_loss: 0.1395 35/714 [>.............................] - ETA: 1:34 - loss: 160.0388 - logits_profile_predictions_loss: 159.2857 - logcount_predictions_loss: 0.1395 36/714 [>.............................] - ETA: 1:34 - loss: 159.9963 - logits_profile_predictions_loss: 159.2436 - logcount_predictions_loss: 0.1394 37/714 [>.............................] - ETA: 1:34 - loss: 159.9472 - logits_profile_predictions_loss: 159.1947 - logcount_predictions_loss: 0.1393 38/714 [>.............................] - ETA: 1:33 - loss: 159.9064 - logits_profile_predictions_loss: 159.1543 - logcount_predictions_loss: 0.1393 39/714 [>.............................] - ETA: 1:33 - loss: 159.8683 - logits_profile_predictions_loss: 159.1164 - logcount_predictions_loss: 0.1392 40/714 [>.............................] - ETA: 1:33 - loss: 159.8297 - logits_profile_predictions_loss: 159.0780 - logcount_predictions_loss: 0.1392 41/714 [>.............................] - ETA: 1:33 - loss: 159.7973 - logits_profile_predictions_loss: 159.0456 - logcount_predictions_loss: 0.1392 42/714 [>.............................] - ETA: 1:33 - loss: 159.7644 - logits_profile_predictions_loss: 159.0129 - logcount_predictions_loss: 0.1392 43/714 [>.............................] - ETA: 1:33 - loss: 159.7294 - logits_profile_predictions_loss: 158.9779 - logcount_predictions_loss: 0.1392 44/714 [>.............................] - ETA: 1:33 - loss: 159.6983 - logits_profile_predictions_loss: 158.9470 - logcount_predictions_loss: 0.1391 45/714 [>.............................] - ETA: 1:32 - loss: 159.6672 - logits_profile_predictions_loss: 158.9159 - logcount_predictions_loss: 0.1391 46/714 [>.............................] - ETA: 1:32 - loss: 159.6436 - logits_profile_predictions_loss: 158.8922 - logcount_predictions_loss: 0.1391 47/714 [>.............................] - ETA: 1:32 - loss: 159.6187 - logits_profile_predictions_loss: 158.8672 - logcount_predictions_loss: 0.1392 48/714 [=>............................] - ETA: 1:32 - loss: 159.5932 - logits_profile_predictions_loss: 158.8417 - logcount_predictions_loss: 0.1392 49/714 [=>............................] - ETA: 1:32 - loss: 159.5746 - logits_profile_predictions_loss: 158.8231 - logcount_predictions_loss: 0.1392 50/714 [=>............................] - ETA: 1:32 - loss: 159.5546 - logits_profile_predictions_loss: 158.8031 - logcount_predictions_loss: 0.1392 51/714 [=>............................] - ETA: 1:32 - loss: 159.5330 - logits_profile_predictions_loss: 158.7814 - logcount_predictions_loss: 0.1392 52/714 [=>............................] - ETA: 1:31 - loss: 159.5117 - logits_profile_predictions_loss: 158.7601 - logcount_predictions_loss: 0.1392 53/714 [=>............................] - ETA: 1:31 - loss: 159.4897 - logits_profile_predictions_loss: 158.7381 - logcount_predictions_loss: 0.1392 54/714 [=>............................] - ETA: 1:31 - loss: 159.4709 - logits_profile_predictions_loss: 158.7193 - logcount_predictions_loss: 0.1392 55/714 [=>............................] - ETA: 1:31 - loss: 159.4532 - logits_profile_predictions_loss: 158.7016 - logcount_predictions_loss: 0.1392 56/714 [=>............................] - ETA: 1:31 - loss: 159.4395 - logits_profile_predictions_loss: 158.6879 - logcount_predictions_loss: 0.1392 57/714 [=>............................] - ETA: 1:31 - loss: 159.4246 - logits_profile_predictions_loss: 158.6732 - logcount_predictions_loss: 0.1392 58/714 [=>............................] - ETA: 1:31 - loss: 159.4085 - logits_profile_predictions_loss: 158.6571 - logcount_predictions_loss: 0.1392 59/714 [=>............................] - ETA: 1:30 - loss: 159.3944 - logits_profile_predictions_loss: 158.6430 - logcount_predictions_loss: 0.1391 60/714 [=>............................] - ETA: 1:30 - loss: 159.3808 - logits_profile_predictions_loss: 158.6294 - logcount_predictions_loss: 0.1391 61/714 [=>............................] - ETA: 1:30 - loss: 159.3672 - logits_profile_predictions_loss: 158.6159 - logcount_predictions_loss: 0.1391 62/714 [=>............................] - ETA: 1:30 - loss: 159.3567 - logits_profile_predictions_loss: 158.6055 - logcount_predictions_loss: 0.1391 63/714 [=>............................] - ETA: 1:30 - loss: 159.3456 - logits_profile_predictions_loss: 158.5944 - logcount_predictions_loss: 0.1391 64/714 [=>............................] - ETA: 1:30 - loss: 159.3362 - logits_profile_predictions_loss: 158.5850 - logcount_predictions_loss: 0.1391 65/714 [=>............................] - ETA: 1:30 - loss: 159.3302 - logits_profile_predictions_loss: 158.5792 - logcount_predictions_loss: 0.1391 66/714 [=>............................] - ETA: 1:30 - loss: 159.3231 - logits_profile_predictions_loss: 158.5721 - logcount_predictions_loss: 0.1391 67/714 [=>............................] - ETA: 1:29 - loss: 159.3202 - logits_profile_predictions_loss: 158.5692 - logcount_predictions_loss: 0.1391 68/714 [=>............................] - ETA: 1:29 - loss: 159.3167 - logits_profile_predictions_loss: 158.5658 - logcount_predictions_loss: 0.1391 69/714 [=>............................] - ETA: 1:29 - loss: 159.3130 - logits_profile_predictions_loss: 158.5621 - logcount_predictions_loss: 0.1391 70/714 [=>............................] - ETA: 1:29 - loss: 159.3084 - logits_profile_predictions_loss: 158.5575 - logcount_predictions_loss: 0.1390 71/714 [=>............................] - ETA: 1:29 - loss: 159.3060 - logits_profile_predictions_loss: 158.5552 - logcount_predictions_loss: 0.1390 72/714 [==>...........................] - ETA: 1:29 - loss: 159.3038 - logits_profile_predictions_loss: 158.5530 - logcount_predictions_loss: 0.1390 73/714 [==>...........................] - ETA: 1:29 - loss: 159.3028 - logits_profile_predictions_loss: 158.5520 - logcount_predictions_loss: 0.1390 74/714 [==>...........................] - ETA: 1:28 - loss: 159.3009 - logits_profile_predictions_loss: 158.5501 - logcount_predictions_loss: 0.1390 75/714 [==>...........................] - ETA: 1:28 - loss: 159.2988 - logits_profile_predictions_loss: 158.5480 - logcount_predictions_loss: 0.1390 76/714 [==>...........................] - ETA: 1:28 - loss: 159.2961 - logits_profile_predictions_loss: 158.5454 - logcount_predictions_loss: 0.1390 77/714 [==>...........................] - ETA: 1:28 - loss: 159.2941 - logits_profile_predictions_loss: 158.5434 - logcount_predictions_loss: 0.1390 78/714 [==>...........................] - ETA: 1:28 - loss: 159.2921 - logits_profile_predictions_loss: 158.5414 - logcount_predictions_loss: 0.1390 79/714 [==>...........................] - ETA: 1:28 - loss: 159.2920 - logits_profile_predictions_loss: 158.5413 - logcount_predictions_loss: 0.1390 80/714 [==>...........................] - ETA: 1:28 - loss: 159.2914 - logits_profile_predictions_loss: 158.5407 - logcount_predictions_loss: 0.1390 81/714 [==>...........................] - ETA: 1:27 - loss: 159.2917 - logits_profile_predictions_loss: 158.5410 - logcount_predictions_loss: 0.1390 82/714 [==>...........................] - ETA: 1:27 - loss: 159.2903 - logits_profile_predictions_loss: 158.5397 - logcount_predictions_loss: 0.1390 83/714 [==>...........................] - ETA: 1:27 - loss: 159.2883 - logits_profile_predictions_loss: 158.5378 - logcount_predictions_loss: 0.1390 84/714 [==>...........................] - ETA: 1:27 - loss: 159.2837 - logits_profile_predictions_loss: 158.5333 - logcount_predictions_loss: 0.1390 85/714 [==>...........................] - ETA: 1:27 - loss: 159.2802 - logits_profile_predictions_loss: 158.5297 - logcount_predictions_loss: 0.1390 86/714 [==>...........................] - ETA: 1:27 - loss: 159.2759 - logits_profile_predictions_loss: 158.5255 - logcount_predictions_loss: 0.1390 87/714 [==>...........................] - ETA: 1:27 - loss: 159.2705 - logits_profile_predictions_loss: 158.5202 - logcount_predictions_loss: 0.1389 88/714 [==>...........................] - ETA: 1:26 - loss: 159.2639 - logits_profile_predictions_loss: 158.5137 - logcount_predictions_loss: 0.1389 89/714 [==>...........................] - ETA: 1:26 - loss: 159.2583 - logits_profile_predictions_loss: 158.5082 - logcount_predictions_loss: 0.1389 90/714 [==>...........................] - ETA: 1:26 - loss: 159.2527 - logits_profile_predictions_loss: 158.5027 - logcount_predictions_loss: 0.1389 91/714 [==>...........................] - ETA: 1:26 - loss: 159.2467 - logits_profile_predictions_loss: 158.4968 - logcount_predictions_loss: 0.1389 92/714 [==>...........................] - ETA: 1:26 - loss: 159.2404 - logits_profile_predictions_loss: 158.4906 - logcount_predictions_loss: 0.1388 93/714 [==>...........................] - ETA: 1:26 - loss: 159.2334 - logits_profile_predictions_loss: 158.4838 - logcount_predictions_loss: 0.1388 94/714 [==>...........................] - ETA: 1:26 - loss: 159.2269 - logits_profile_predictions_loss: 158.4773 - logcount_predictions_loss: 0.1388 95/714 [==>...........................] - ETA: 1:25 - loss: 159.2221 - logits_profile_predictions_loss: 158.4727 - logcount_predictions_loss: 0.1388 96/714 [===>..........................] - ETA: 1:25 - loss: 159.2185 - logits_profile_predictions_loss: 158.4691 - logcount_predictions_loss: 0.1388 97/714 [===>..........................] - ETA: 1:25 - loss: 159.2155 - logits_profile_predictions_loss: 158.4663 - logcount_predictions_loss: 0.1388 98/714 [===>..........................] - ETA: 1:25 - loss: 159.2124 - logits_profile_predictions_loss: 158.4632 - logcount_predictions_loss: 0.1387 99/714 [===>..........................] - ETA: 1:25 - loss: 159.2092 - logits_profile_predictions_loss: 158.4601 - logcount_predictions_loss: 0.1387 100/714 [===>..........................] - ETA: 1:25 - loss: 159.2053 - logits_profile_predictions_loss: 158.4563 - logcount_predictions_loss: 0.1387 101/714 [===>..........................] - ETA: 1:25 - loss: 159.2008 - logits_profile_predictions_loss: 158.4518 - logcount_predictions_loss: 0.1387 102/714 [===>..........................] - ETA: 1:24 - loss: 159.1967 - logits_profile_predictions_loss: 158.4478 - logcount_predictions_loss: 0.1387 103/714 [===>..........................] - ETA: 1:24 - loss: 159.1931 - logits_profile_predictions_loss: 158.4443 - logcount_predictions_loss: 0.1387 104/714 [===>..........................] - ETA: 1:24 - loss: 159.1900 - logits_profile_predictions_loss: 158.4412 - logcount_predictions_loss: 0.1387 105/714 [===>..........................] - ETA: 1:24 - loss: 159.1867 - logits_profile_predictions_loss: 158.4381 - logcount_predictions_loss: 0.1386 106/714 [===>..........................] - ETA: 1:24 - loss: 159.1846 - logits_profile_predictions_loss: 158.4360 - logcount_predictions_loss: 0.1386 107/714 [===>..........................] - ETA: 1:24 - loss: 159.1834 - logits_profile_predictions_loss: 158.4350 - logcount_predictions_loss: 0.1386 108/714 [===>..........................] - ETA: 1:24 - loss: 159.1821 - logits_profile_predictions_loss: 158.4338 - logcount_predictions_loss: 0.1386 109/714 [===>..........................] - ETA: 1:23 - loss: 159.1798 - logits_profile_predictions_loss: 158.4316 - logcount_predictions_loss: 0.1386 110/714 [===>..........................] - ETA: 1:23 - loss: 159.1770 - logits_profile_predictions_loss: 158.4288 - logcount_predictions_loss: 0.1385 111/714 [===>..........................] - ETA: 1:23 - loss: 159.1746 - logits_profile_predictions_loss: 158.4265 - logcount_predictions_loss: 0.1385 112/714 [===>..........................] - ETA: 1:23 - loss: 159.1710 - logits_profile_predictions_loss: 158.4230 - logcount_predictions_loss: 0.1385 113/714 [===>..........................] - ETA: 1:23 - loss: 159.1686 - logits_profile_predictions_loss: 158.4207 - logcount_predictions_loss: 0.1385 114/714 [===>..........................] - ETA: 1:23 - loss: 159.1655 - logits_profile_predictions_loss: 158.4177 - logcount_predictions_loss: 0.1385 115/714 [===>..........................] - ETA: 1:23 - loss: 159.1620 - logits_profile_predictions_loss: 158.4143 - logcount_predictions_loss: 0.1385 116/714 [===>..........................] - ETA: 1:23 - loss: 159.1582 - logits_profile_predictions_loss: 158.4106 - logcount_predictions_loss: 0.1384 117/714 [===>..........................] - ETA: 1:22 - loss: 159.1539 - logits_profile_predictions_loss: 158.4064 - logcount_predictions_loss: 0.1384 118/714 [===>..........................] - ETA: 1:22 - loss: 159.1505 - logits_profile_predictions_loss: 158.4031 - logcount_predictions_loss: 0.1384 119/714 [====>.........................] - ETA: 1:22 - loss: 159.1464 - logits_profile_predictions_loss: 158.3991 - logcount_predictions_loss: 0.1384 120/714 [====>.........................] - ETA: 1:22 - loss: 159.1428 - logits_profile_predictions_loss: 158.3956 - logcount_predictions_loss: 0.1384 121/714 [====>.........................] - ETA: 1:22 - loss: 159.1391 - logits_profile_predictions_loss: 158.3920 - logcount_predictions_loss: 0.1384 122/714 [====>.........................] - ETA: 1:22 - loss: 159.1365 - logits_profile_predictions_loss: 158.3894 - logcount_predictions_loss: 0.1383 123/714 [====>.........................] - ETA: 1:22 - loss: 159.1331 - logits_profile_predictions_loss: 158.3861 - logcount_predictions_loss: 0.1383 124/714 [====>.........................] - ETA: 1:21 - loss: 159.1290 - logits_profile_predictions_loss: 158.3821 - logcount_predictions_loss: 0.1383 125/714 [====>.........................] - ETA: 1:21 - loss: 159.1249 - logits_profile_predictions_loss: 158.3779 - logcount_predictions_loss: 0.1383 126/714 [====>.........................] - ETA: 1:21 - loss: 159.1204 - logits_profile_predictions_loss: 158.3736 - logcount_predictions_loss: 0.1383 127/714 [====>.........................] - ETA: 1:21 - loss: 159.1169 - logits_profile_predictions_loss: 158.3701 - logcount_predictions_loss: 0.1383 128/714 [====>.........................] - ETA: 1:21 - loss: 159.1124 - logits_profile_predictions_loss: 158.3657 - logcount_predictions_loss: 0.1383 129/714 [====>.........................] - ETA: 1:21 - loss: 159.1076 - logits_profile_predictions_loss: 158.3610 - logcount_predictions_loss: 0.1383 130/714 [====>.........................] - ETA: 1:21 - loss: 159.1031 - logits_profile_predictions_loss: 158.3565 - logcount_predictions_loss: 0.1383 131/714 [====>.........................] - ETA: 1:20 - loss: 159.0983 - logits_profile_predictions_loss: 158.3518 - logcount_predictions_loss: 0.1383 132/714 [====>.........................] - ETA: 1:20 - loss: 159.0937 - logits_profile_predictions_loss: 158.3472 - logcount_predictions_loss: 0.1382 133/714 [====>.........................] - ETA: 1:20 - loss: 159.0896 - logits_profile_predictions_loss: 158.3431 - logcount_predictions_loss: 0.1382 134/714 [====>.........................] - ETA: 1:20 - loss: 159.0863 - logits_profile_predictions_loss: 158.3398 - logcount_predictions_loss: 0.1382 135/714 [====>.........................] - ETA: 1:20 - loss: 159.0827 - logits_profile_predictions_loss: 158.3362 - logcount_predictions_loss: 0.1382 136/714 [====>.........................] - ETA: 1:20 - loss: 159.0793 - logits_profile_predictions_loss: 158.3328 - logcount_predictions_loss: 0.1382 137/714 [====>.........................] - ETA: 1:20 - loss: 159.0754 - 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[=========================>....] - ETA: 10s - loss: 158.4430 - logits_profile_predictions_loss: 157.6881 - logcount_predictions_loss: 0.1398 638/714 [=========================>....] - ETA: 10s - loss: 158.4424 - logits_profile_predictions_loss: 157.6874 - logcount_predictions_loss: 0.1398 639/714 [=========================>....] - ETA: 10s - loss: 158.4418 - logits_profile_predictions_loss: 157.6867 - logcount_predictions_loss: 0.1398 640/714 [=========================>....] - ETA: 10s - loss: 158.4411 - logits_profile_predictions_loss: 157.6861 - logcount_predictions_loss: 0.1398 641/714 [=========================>....] - ETA: 10s - loss: 158.4405 - logits_profile_predictions_loss: 157.6854 - logcount_predictions_loss: 0.1398 642/714 [=========================>....] - ETA: 10s - loss: 158.4399 - logits_profile_predictions_loss: 157.6848 - logcount_predictions_loss: 0.1398 643/714 [==========================>...] - ETA: 9s - loss: 158.4393 - logits_profile_predictions_loss: 157.6842 - 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logits_profile_predictions_loss: 157.6796 - logcount_predictions_loss: 0.1399 651/714 [==========================>...] - ETA: 8s - loss: 158.4342 - logits_profile_predictions_loss: 157.6789 - logcount_predictions_loss: 0.1399 652/714 [==========================>...] - ETA: 8s - loss: 158.4336 - logits_profile_predictions_loss: 157.6783 - logcount_predictions_loss: 0.1399 653/714 [==========================>...] - ETA: 8s - loss: 158.4330 - logits_profile_predictions_loss: 157.6777 - logcount_predictions_loss: 0.1399 654/714 [==========================>...] - ETA: 8s - loss: 158.4324 - logits_profile_predictions_loss: 157.6771 - logcount_predictions_loss: 0.1399 655/714 [==========================>...] - ETA: 8s - loss: 158.4318 - logits_profile_predictions_loss: 157.6764 - logcount_predictions_loss: 0.1399 656/714 [==========================>...] - ETA: 8s - loss: 158.4311 - logits_profile_predictions_loss: 157.6758 - logcount_predictions_loss: 0.1399 657/714 [==========================>...] - ETA: 7s - loss: 158.4305 - logits_profile_predictions_loss: 157.6752 - logcount_predictions_loss: 0.1399 658/714 [==========================>...] - ETA: 7s - loss: 158.4299 - logits_profile_predictions_loss: 157.6746 - logcount_predictions_loss: 0.1399 659/714 [==========================>...] - ETA: 7s - loss: 158.4293 - logits_profile_predictions_loss: 157.6740 - logcount_predictions_loss: 0.1399 660/714 [==========================>...] - ETA: 7s - loss: 158.4287 - logits_profile_predictions_loss: 157.6734 - logcount_predictions_loss: 0.1399 661/714 [==========================>...] - ETA: 7s - loss: 158.4281 - logits_profile_predictions_loss: 157.6727 - logcount_predictions_loss: 0.1399 662/714 [==========================>...] - ETA: 7s - loss: 158.4276 - logits_profile_predictions_loss: 157.6721 - logcount_predictions_loss: 0.1399 663/714 [==========================>...] - ETA: 7s - loss: 158.4270 - logits_profile_predictions_loss: 157.6716 - logcount_predictions_loss: 0.1399 664/714 [==========================>...] - ETA: 6s - loss: 158.4264 - logits_profile_predictions_loss: 157.6710 - logcount_predictions_loss: 0.1399 665/714 [==========================>...] - ETA: 6s - loss: 158.4258 - logits_profile_predictions_loss: 157.6703 - logcount_predictions_loss: 0.1399 666/714 [==========================>...] - ETA: 6s - loss: 158.4252 - logits_profile_predictions_loss: 157.6697 - logcount_predictions_loss: 0.1399 667/714 [===========================>..] - ETA: 6s - loss: 158.4247 - logits_profile_predictions_loss: 157.6692 - logcount_predictions_loss: 0.1399 668/714 [===========================>..] - ETA: 6s - loss: 158.4241 - logits_profile_predictions_loss: 157.6686 - logcount_predictions_loss: 0.1399 669/714 [===========================>..] - ETA: 6s - loss: 158.4235 - logits_profile_predictions_loss: 157.6680 - logcount_predictions_loss: 0.1399 670/714 [===========================>..] - ETA: 6s - loss: 158.4230 - 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logcount_predictions_loss: 0.1400 684/714 [===========================>..] - ETA: 4s - loss: 158.4151 - logits_profile_predictions_loss: 157.6594 - logcount_predictions_loss: 0.1400 685/714 [===========================>..] - ETA: 4s - loss: 158.4146 - logits_profile_predictions_loss: 157.6588 - logcount_predictions_loss: 0.1400 686/714 [===========================>..] - ETA: 3s - loss: 158.4140 - logits_profile_predictions_loss: 157.6582 - logcount_predictions_loss: 0.1400 687/714 [===========================>..] - ETA: 3s - loss: 158.4134 - logits_profile_predictions_loss: 157.6576 - logcount_predictions_loss: 0.1400 688/714 [===========================>..] - ETA: 3s - loss: 158.4128 - logits_profile_predictions_loss: 157.6570 - logcount_predictions_loss: 0.1400 689/714 [===========================>..] - ETA: 3s - loss: 158.4122 - logits_profile_predictions_loss: 157.6564 - logcount_predictions_loss: 0.1400 690/714 [===========================>..] - ETA: 3s - loss: 158.4115 - logits_profile_predictions_loss: 157.6557 - logcount_predictions_loss: 0.1400 691/714 [============================>.] - ETA: 3s - loss: 158.4109 - logits_profile_predictions_loss: 157.6551 - logcount_predictions_loss: 0.1400 692/714 [============================>.] - ETA: 3s - loss: 158.4103 - logits_profile_predictions_loss: 157.6545 - logcount_predictions_loss: 0.1400 693/714 [============================>.] - ETA: 2s - loss: 158.4097 - logits_profile_predictions_loss: 157.6539 - logcount_predictions_loss: 0.1400 694/714 [============================>.] - ETA: 2s - loss: 158.4091 - logits_profile_predictions_loss: 157.6532 - logcount_predictions_loss: 0.1400 695/714 [============================>.] - ETA: 2s - loss: 158.4085 - logits_profile_predictions_loss: 157.6526 - logcount_predictions_loss: 0.1400 696/714 [============================>.] - ETA: 2s - loss: 158.4078 - logits_profile_predictions_loss: 157.6520 - logcount_predictions_loss: 0.1400 697/714 [============================>.] - ETA: 2s - loss: 158.4072 - logits_profile_predictions_loss: 157.6513 - logcount_predictions_loss: 0.1400 698/714 [============================>.] - ETA: 2s - loss: 158.4066 - logits_profile_predictions_loss: 157.6507 - logcount_predictions_loss: 0.1400 699/714 [============================>.] - ETA: 2s - loss: 158.4060 - logits_profile_predictions_loss: 157.6501 - logcount_predictions_loss: 0.1400 700/714 [============================>.] - ETA: 1s - loss: 158.4054 - logits_profile_predictions_loss: 157.6494 - logcount_predictions_loss: 0.1400 701/714 [============================>.] - ETA: 1s - loss: 158.4047 - logits_profile_predictions_loss: 157.6488 - logcount_predictions_loss: 0.1400 702/714 [============================>.] - ETA: 1s - loss: 158.4041 - logits_profile_predictions_loss: 157.6481 - logcount_predictions_loss: 0.1400 703/714 [============================>.] - ETA: 1s - loss: 158.4035 - logits_profile_predictions_loss: 157.6475 - logcount_predictions_loss: 0.1400 704/714 [============================>.] - ETA: 1s - loss: 158.4028 - logits_profile_predictions_loss: 157.6468 - logcount_predictions_loss: 0.1400 705/714 [============================>.] - ETA: 1s - loss: 158.4021 - logits_profile_predictions_loss: 157.6461 - logcount_predictions_loss: 0.1400 706/714 [============================>.] - ETA: 1s - loss: 158.4015 - logits_profile_predictions_loss: 157.6455 - logcount_predictions_loss: 0.1400 707/714 [============================>.] - ETA: 0s - loss: 158.4009 - logits_profile_predictions_loss: 157.6448 - logcount_predictions_loss: 0.1400 708/714 [============================>.] - ETA: 0s - loss: 158.4002 - logits_profile_predictions_loss: 157.6442 - logcount_predictions_loss: 0.1400 709/714 [============================>.] - ETA: 0s - loss: 158.3996 - logits_profile_predictions_loss: 157.6436 - logcount_predictions_loss: 0.1400 710/714 [============================>.] - ETA: 0s - loss: 158.3990 - logits_profile_predictions_loss: 157.6429 - logcount_predictions_loss: 0.1400 711/714 [============================>.] - ETA: 0s - loss: 158.3983 - logits_profile_predictions_loss: 157.6423 - logcount_predictions_loss: 0.1400 712/714 [============================>.] - ETA: 0s - loss: 158.3977 - logits_profile_predictions_loss: 157.6416 - logcount_predictions_loss: 0.1400 713/714 [============================>.] - ETA: 0s - loss: 158.3970 - logits_profile_predictions_loss: 157.6409 - logcount_predictions_loss: 0.1400 714/714 [==============================] - ETA: 0s - loss: 158.3963 - logits_profile_predictions_loss: 157.6402 - logcount_predictions_loss: 0.1400 714/714 [==============================] - 104s 145ms/step - loss: 158.3957 - logits_profile_predictions_loss: 157.6395 - logcount_predictions_loss: 0.1400 - val_loss: 174.7459 - val_logits_profile_predictions_loss: 173.9135 - val_logcount_predictions_loss: 0.1542 + +Epoch 00013: val_loss did not improve from 172.20396 +Restoring model weights from the end of the best epoch. +Epoch 00013: early stopping +save model +save model without bias +2022-09-22_23-23-50: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(10669, 10) +loading nonpeaks... +got split:test for bed regions:(9297, 10) +0/78 +2022-09-22_23-24-50: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(10669, 10) +loading nonpeaks... +got split:test for bed regions:(9297, 10) +0/78 +2022-09-22_23-25-43: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_2//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(10669, 10) +loading nonpeaks... +got split:test for bed regions:(9297, 10) +0/78 +2022-09-22_23-26-18: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_23-26-18: 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/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:00 3/11 [=======>......................] - ETA: 2s  4/11 [=========>....................] - ETA: 2s 5/11 [============>.................] - ETA: 2s 6/11 [===============>..............] - ETA: 2s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 15s 899ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 646ms/step +Saving marginal footprints +2022-09-22_23-27-41: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//footprints +2022-09-22_23-27-41: 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/ENCSR609GST//chrombpnet_model_feb15_fold_2//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_2//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 25s 3/11 [=======>......................] - ETA: 0s  5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 3s 77ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 52ms/step +Saving marginal footprints diff --git a/fold_2/model.bias_scaled.fold_2.ENCSR609GST.h5 b/fold_2/model.bias_scaled.fold_2.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..b7e8d2836c2efbd26731127367397e31513fb9be --- /dev/null +++ b/fold_2/model.bias_scaled.fold_2.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62fd0df147d3579102dd0ab64d8cf8206f60dbd34a2aa6c1e6e4c7840b86b2ef +size 2688440 diff --git a/fold_2/model.bias_scaled.fold_2.ENCSR609GST.tar b/fold_2/model.bias_scaled.fold_2.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..c1f4cedfe34fe369221890e3da8e7b91dc2ba7f3 --- /dev/null +++ b/fold_2/model.bias_scaled.fold_2.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:357f2ec83fbb485703d50628392a82503330dc258467664bfed8f5141a5396d1 +size 1198080 diff --git a/fold_2/model.chrombpnet.fold_2.ENCSR609GST.h5 b/fold_2/model.chrombpnet.fold_2.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..9787891361ecffd13aa97d4233f1efc0e668c658 --- /dev/null +++ b/fold_2/model.chrombpnet.fold_2.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4522876ba8f4e4398b646469af196da015cdbe1e520712a571b1ab77cbeb9b1d +size 26447928 diff --git a/fold_2/model.chrombpnet.fold_2.ENCSR609GST.tar b/fold_2/model.chrombpnet.fold_2.ENCSR609GST.tar new file 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0000000000000000000000000000000000000000..c7fefd4fb39317764e85fae60758508df47d9381 --- /dev/null +++ b/fold_2/model.chrombpnet_nobias.fold_2.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ead5dcb247a0e4cda1a2de1368dc3afcfacf5b900a7de8b63cb1ee427e228e8f +size 26081280 diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.args.json b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.args.json new file mode 100644 index 0000000000000000000000000000000000000000..936582b1cad05a129928484617cd47aa82435e2a --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.batch_loss.tsv b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..38b8905d9769fc6248db112c3d93b3088c1174d0 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.batch_loss.tsv @@ -0,0 +1,9062 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 0.9122891426086426 170.17193603515625 165.24557495117188 None None None +0 1 379.6721496582031 2221.44384765625 171.21432495117188 None None None +0 2 253.4193115234375 1533.0172119140625 164.55300903320312 None None None +0 3 190.34596252441406 1191.1871337890625 163.3190460205078 None None None +0 4 152.48568725585938 987.2418823242188 163.81924438476562 None None None +0 5 127.3106460571289 854.0315551757812 166.5541534423828 None None None +0 6 109.26521301269531 755.5347290039062 165.5026397705078 None None None +0 7 95.77649688720703 685.0103759765625 167.81732177734375 None None None +0 8 85.25975036621094 628.0530395507812 167.65042114257812 None None None +0 9 76.8142318725586 580.7060546875 165.90921020507812 None None None +0 10 69.93216705322266 543.3619995117188 165.72830200195312 None None None +0 11 64.2235107421875 513.6611328125 166.8541717529297 None None None +0 12 59.38851547241211 488.1402893066406 167.4423065185547 None None None +0 13 55.22623062133789 465.7160949707031 167.49447631835938 None None None +0 14 51.647212982177734 447.37646484375 168.48153686523438 None None None +0 15 48.48297119140625 429.6105041503906 167.802490234375 None None None +0 16 45.69825744628906 414.32501220703125 167.55445861816406 None None 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0.14946924149990082 159.04428100585938 158.2369384765625 None None None +12 628 0.1494607925415039 159.040283203125 158.23297119140625 None None None +12 629 0.14948315918445587 159.03065490722656 158.2232208251953 None None None +12 630 0.14950619637966156 159.05043029785156 158.24285888671875 None None None +12 631 0.1495668739080429 159.0387420654297 158.2308349609375 None None None +12 632 0.1495457887649536 159.04803466796875 158.24026489257812 None None None +12 633 0.14948533475399017 159.0565948486328 158.24913024902344 None None None +12 634 0.1494605392217636 159.04611206054688 158.23878479003906 None None None +12 635 0.1494036763906479 159.0374755859375 158.23045349121094 None None None +12 636 0.1494053155183792 159.0346221923828 158.22760009765625 None None None +12 637 0.14940693974494934 159.01617431640625 158.20913696289062 None None None +12 638 0.14945076406002045 159.0405731201172 158.23330688476562 None None None +12 639 0.1494787484407425 159.05592346191406 158.24850463867188 None None None +12 640 0.14941905438899994 159.0447540283203 158.23764038085938 None None None +12 641 0.14944395422935486 159.0404510498047 158.23321533203125 None None None +12 642 0.14945025742053986 159.02682495117188 158.2195587158203 None None None +12 643 0.14948412775993347 159.02137756347656 158.2139129638672 None None None +12 644 0.14951099455356598 159.01210021972656 158.2045135498047 None None None +12 645 0.14952674508094788 158.9837188720703 158.17604064941406 None None None +12 646 0.1494361311197281 158.99342346191406 158.18621826171875 None None None +12 647 0.14945058524608612 159.0089111328125 158.20164489746094 None None None +12 648 0.14939990639686584 159.0138702392578 158.20687866210938 None None None +12 649 0.14945949614048004 159.01925659179688 158.21192932128906 None None None +12 650 0.14939288794994354 159.0150909423828 158.20811462402344 None None None +12 651 0.1493672877550125 159.0166015625 158.2097625732422 None None None +12 652 0.14938446879386902 159.01040649414062 158.20347595214844 None None None +12 653 0.1494314819574356 159.02560424804688 158.21841430664062 None None None +12 654 0.1493944525718689 159.04063415527344 158.23365783691406 None None None +12 655 0.14951816201210022 159.04132080078125 158.23365783691406 None None None +12 656 0.14945299923419952 159.04920959472656 158.24191284179688 None None None +12 657 0.14939430356025696 159.042236328125 158.23526000976562 None None None +12 658 0.14938122034072876 159.0464324951172 158.23953247070312 None None None +12 659 0.14946039021015167 159.04867553710938 158.24134826660156 None None None +12 660 0.1493830680847168 159.06668090820312 158.259765625 None None None +12 661 0.14933960139751434 159.06675720214844 158.2600860595703 None None None +12 662 0.1494024097919464 159.05868530273438 158.25167846679688 None None None +12 663 0.1493823081254959 159.0597381591797 158.25283813476562 None None None +12 664 0.1494635045528412 159.06289672851562 158.25555419921875 None None None +12 665 0.14947561919689178 159.06178283691406 158.25436401367188 None None None +12 666 0.14940974116325378 159.0526580810547 158.24560546875 None None None +12 667 0.1494428664445877 159.0579376220703 158.25071716308594 None None None +12 668 0.14947733283042908 159.0377655029297 158.2303466796875 None None None +12 669 0.14942142367362976 159.05120849609375 158.24407958984375 None None None +12 670 0.1494407206773758 159.05230712890625 158.24510192871094 None None None +12 671 0.1493789553642273 159.0521697998047 158.2452850341797 None None None +12 672 0.14951485395431519 159.05015563964844 158.24253845214844 None None None +12 673 0.14950866997241974 159.0330810546875 158.22547912597656 None None None +12 674 0.14948251843452454 159.0515899658203 158.244140625 None None None +12 675 0.14945492148399353 159.03860473632812 158.23130798339844 None None None +12 676 0.1494845151901245 159.02955627441406 158.22207641601562 None None None +12 677 0.14947554469108582 159.01376342773438 158.2063446044922 None None None +12 678 0.14948996901512146 159.0038604736328 158.1963653564453 None None None +12 679 0.14948345720767975 159.02777099609375 158.22030639648438 None None None +12 680 0.1495552361011505 159.031494140625 158.22364807128906 None None None +12 681 0.1494990885257721 159.02203369140625 158.21449279785156 None None None +12 682 0.14952218532562256 159.03680419921875 158.22914123535156 None None None +12 683 0.14948202669620514 159.0575714111328 158.2501220703125 None None None +12 684 0.14945323765277863 159.03932189941406 158.23202514648438 None None None +12 685 0.14940357208251953 159.05679321289062 158.24977111816406 None None None +12 686 0.1493791788816452 159.0709991455078 158.26409912109375 None None None +12 687 0.14934930205345154 159.06918334960938 158.262451171875 None None None +12 688 0.14937177300453186 159.07284545898438 158.2659912109375 None None None +12 689 0.1493060290813446 159.07601928710938 158.26951599121094 None None None +12 690 0.14934542775154114 159.09498596191406 158.28826904296875 None None None +12 691 0.14942041039466858 159.10894775390625 158.3018341064453 None None None +12 692 0.14944308996200562 159.109619140625 158.3023681640625 None None None +12 693 0.14935237169265747 159.11666870117188 158.30992126464844 None None None +12 694 0.14927928149700165 159.10791015625 158.3015594482422 None None None +12 695 0.14922572672367096 159.0987548828125 158.29269409179688 None None None +12 696 0.14928747713565826 159.11956787109375 158.31317138671875 None None None diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.bias_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..6244c7d28c5e4d48a490251f12619281febffaff --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.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 15:11:39.105674: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:41.771036: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:41.774913: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 15:11:41.978759: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:07:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.39GiB deviceMemoryBandwidth: 1.41TiB/s +2023-07-14 15:11:41.978847: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:42.004157: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:42.004282: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:42.015452: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:42.020702: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:42.039493: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:42.044466: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:42.045548: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:42.080114: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:42.080627: 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 15:11:42.082347: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:42.104218: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:07:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.39GiB deviceMemoryBandwidth: 1.41TiB/s +2023-07-14 15:11:42.104276: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:42.104311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:42.104339: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:42.104367: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:42.104394: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:42.104421: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:42.104448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:42.104475: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:42.150445: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:42.153129: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:45.169020: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 15:11:45.169144: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 15:11:45.169157: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 15:11:45.196981: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37381 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:07:00.0, compute capability: 8.0) +2023-07-14 15:11:46.064394: 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.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.bias_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..84dd9696c18045fa9095876dc7f12042ed3ceabd --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_3/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_3/new_model_formats/bias_model_scaled diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet.params.json b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..79aec47d3e5c88de4bb75c834c87830548fb7cfa --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "5.4", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_data_params.tsv b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..0133570534cee317b936996e1130400577c24529 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 10.0 +counts_sum_max_thresh 281.0 +trainings_pts_post_thresh 48575 diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc1a28b3ce6cf9ee823c181d0f6225f7253bb200 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.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 16:49:19.901860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.618716: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.623911: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:49:23.665202: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3e:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.665311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.696472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.696639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.712794: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.720455: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.748169: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.755497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.757145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.759416: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.759811: 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 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:49:23.761058: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.761475: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3e:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.761511: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.761547: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.761564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.761581: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.761598: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.761615: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.761631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.761648: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.762129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.763868: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:26.252808: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:49:26.252919: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:49:26.252935: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:49:26.256984: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30126 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:3e:00.0, compute capability: 7.0) +2023-07-14 16:49:29.317722: 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.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..283589b23fb6f68a4833c6fab8e81bbcf490e883 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_3/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_3/new_model_formats/chrombpnet diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_model_params.tsv b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..de30c46064cadc735cf184540d2e70b5aa0e3e08 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 5.4 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6073c57862a240d7c30c44318af2935f3a82a97 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_3/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_3/new_model_formats/chrombpnet_wo_bias diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6073c57862a240d7c30c44318af2935f3a82a97 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_3/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_3/new_model_formats/chrombpnet_wo_bias diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.epoch_loss.csv b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..587579c48dfe2593e0dd9b7a6e30f3ce80268af8 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.epoch_loss.csv @@ -0,0 +1,14 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,2.3285677433013916,168.36888122558594,180.9431915283203,1.3024154901504517,171.33486938476562,178.36785888671875 +1,0.6395981311798096,166.70748901367188,170.16123962402344,0.40550780296325684,170.774169921875,172.96388244628906 +2,0.22162853181362152,165.845947265625,167.04273986816406,0.19681493937969208,170.22018432617188,171.28298950195312 +3,0.19982339441776276,165.00973510742188,166.08889770507812,0.27410444617271423,169.5867919921875,171.0669708251953 +4,0.1865701824426651,164.6849822998047,165.6925048828125,0.26874834299087524,169.25949096679688,170.71075439453125 +5,0.1832515448331833,164.18614196777344,165.17572021484375,0.1837366819381714,169.26869201660156,170.26087951660156 +6,0.17858389019966125,163.80601501464844,164.77044677734375,0.16495513916015625,169.4145965576172,170.30532836914062 +7,0.17242521047592163,163.28651428222656,164.2174835205078,0.1716364324092865,169.05564880371094,169.98252868652344 +8,0.16932789981365204,162.93141174316406,163.84561157226562,0.19114838540554047,169.4078826904297,170.44004821777344 +9,0.17103326320648193,162.41180419921875,163.3352508544922,0.18279516696929932,169.65170288085938,170.63880920410156 +10,0.1595456749200821,161.73666381835938,162.5983428955078,0.1598670780658722,170.03839111328125,170.9016571044922 +11,0.15146979689598083,159.7406463623047,160.5586395263672,0.16618505120277405,170.79800415039062,171.69537353515625 +12,0.14928747713565826,158.31317138671875,159.11956787109375,0.15962205827236176,171.45394897460938,172.31590270996094 diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stderr.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..abb12b42a7cea96493a31f54cdcef521c5a896ad --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stderr.txt @@ -0,0 +1,328 @@ +2022-09-22 23:05:57.116211: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:20.022716: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:07:20.024164: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:07:20.501596: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:07:20.501733: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:20.625191: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:07:20.625434: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:07:20.883384: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:07:20.931974: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:07:21.043112: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:07:21.077835: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:07:21.084605: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:07:21.090806: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:07:21.091316: 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 23:07:21.091428: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:07:21.093040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:07:21.093089: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:21.093130: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:07:21.093160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:07:21.093186: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:07:21.093212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:07:21.093238: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:07:21.093264: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:07:21.093290: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:07:21.096341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:07:21.097915: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:23.840464: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:07:23.840599: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:07:23.840611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:07:23.847984: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37440 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, compute capability: 8.0) +2022-09-22 23:07:24.579790: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:07:24.588810: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1999950000 Hz +2022-09-22 23:07:24.769124: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:07:27.836692: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:07:27.845912: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:07:46.426389: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:48.049288: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:07:48.050228: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:07:48.348496: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:07:48.348619: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:48.350860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:07:48.350910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:07:48.351924: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:07:48.352110: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:07:48.354418: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:07:48.354929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:07:48.355059: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:07:48.356863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:07:48.357188: 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 23:07:48.357263: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:07:48.358138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:07:48.358181: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:48.358199: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:07:48.358213: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:07:48.358227: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:07:48.358240: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:07:48.358253: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:07:48.358266: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:07:48.358279: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:07:48.359922: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:07:48.359952: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:07:48.834924: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:07:48.835064: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:07:48.835076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:07:48.838081: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37440 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, compute capability: 8.0) +2022-09-22 23:09:00.385206: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:09:00.385664: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1999950000 Hz +2022-09-22 23:09:01.794050: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:09:02.281633: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:09:02.298021: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:09:07.322142: 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 23:33:59.688846: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:02.609416: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:34:02.610435: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:34:03.037729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:34:03.037849: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:03.040100: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:34:03.040153: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:34:03.041184: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:34:03.041373: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:34:03.043686: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:34:03.044190: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:34:03.044331: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:34:03.047390: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:34:03.047723: 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 23:34:03.047796: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:34:03.049286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:34:03.049308: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:03.049326: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:34:03.049341: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:34:03.049355: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:34:03.049368: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:34:03.049382: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:34:03.049396: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:34:03.049409: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:34:03.052280: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:34:03.052311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:03.560191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:34:03.560322: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:34:03.560334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:34:03.563920: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37440 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, compute capability: 8.0) +2022-09-22 23:34:25.517016: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:34:25.520622: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1999950000 Hz +2022-09-22 23:34:25.606970: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:34:26.110246: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:34:26.112562: 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 23:35:16.919067: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:19.289418: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:35:19.554976: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:35:19.856039: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:35:19.856163: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:19.858616: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:35:19.858669: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:35:19.859682: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:35:19.859873: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:35:19.862195: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:35:19.862698: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:35:19.862838: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:35:19.865110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:35:19.865452: 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 23:35:19.865550: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:35:19.866664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:35:19.866687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:19.866704: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:35:19.866719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:35:19.866734: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:35:19.866748: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:35:19.866762: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:35:19.866775: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:35:19.866789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:35:19.868914: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:35:19.868946: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:20.377599: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:35:20.377724: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:35:20.377737: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:35:20.381264: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37440 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, 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 23:35:41.913199: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:35:41.915671: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1999950000 Hz +2022-09-22 23:35:41.973333: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:35:42.477687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:35:42.479319: 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 23:36:28.317675: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:36:30.786272: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:36:30.787282: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:36:31.054582: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:36:31.054695: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:36:31.056935: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:36:31.056991: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:36:31.058002: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:36:31.058191: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:36:31.060545: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:36:31.061062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:36:31.061204: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:36:31.063004: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:36:31.063330: 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 23:36:31.063401: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:36:31.064290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:36:31.064313: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:36:31.064330: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:36:31.064345: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:36:31.064380: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:36:31.064395: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:36:31.064409: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:36:31.064423: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:36:31.064437: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:36:31.066097: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:36:31.066132: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:36:31.569098: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:36:31.569227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:36:31.569240: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:36:31.572804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37440 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, compute capability: 8.0) +2022-09-22 23:36:51.964339: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:36:51.966174: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1999950000 Hz +2022-09-22 23:36:52.004216: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:36:52.508360: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:36:52.509988: 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 23:37:19.131039: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:37:20.314865: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:37:20.315855: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:37:20.582220: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:37:20.582348: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:37:20.584627: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:37:20.584677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:37:20.585703: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:37:20.585898: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:37:20.588212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:37:20.588722: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:37:20.588853: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:37:20.590654: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:37:20.590973: 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 23:37:20.591045: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:37:20.591933: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:37:20.591963: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:37:20.591982: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:37:20.591998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:37:20.592013: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:37:20.592027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:37:20.592042: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:37:20.592056: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:37:20.592070: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:37:20.593720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:37:20.593754: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:37:21.091070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:37:21.091227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:37:21.091241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:37:21.094420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37440 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, 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 23:37:26.044883: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:37:26.045469: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1999950000 Hz +2022-09-22 23:37:26.249333: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:37:26.771191: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:37:26.773186: 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/ENCSR609GST//chrombpnet_model_feb15_fold_3//footprints’: File exists +2022-09-22 23:38:48.112553: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:38:49.268676: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:38:49.269727: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:38:49.572617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:38:49.572747: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:38:49.574972: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:38:49.575036: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:38:49.576066: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:38:49.576263: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:38:49.578634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:38:49.579153: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:38:49.579288: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:38:49.581109: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:38:49.581446: 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 23:38:49.581518: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:38:49.582404: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s +2022-09-22 23:38:49.582454: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:38:49.582473: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:38:49.582488: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:38:49.582503: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:38:49.582518: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:38:49.582532: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:38:49.582547: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:38:49.582561: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:38:49.584252: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:38:49.584286: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:38:50.085399: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:38:50.085532: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:38:50.085545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:38:50.089047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37440 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, compute capability: 8.0) +2022-09-22 23:38:55.019331: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:38:55.019925: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1999950000 Hz +2022-09-22 23:38:55.160170: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:38:55.687711: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:38:55.689474: 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.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stdout.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d95335afa0de000652100c442f1db8bbff80c11 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stdout.txt @@ -0,0 +1,475 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json +Thu Sep 22 23:05:51 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:C7:00.0 Off | 0 | +| N/A 28C P0 53W / 360W | 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 +2022-09-22_23-05-52: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 45132 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 45132 +Number of peaks input: 11541 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 11541 +Number of non peaks input: 45548 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 45548 +Number of non peaks input: 11124 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 11124 +Number of peaks after removing outliers: 44634 +Number of nonpeaks after removing outliers: 39608 +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 + 1/1238 [..............................] - ETA: 4:36:54 11/1238 [..............................] - ETA: 6s  21/1238 [..............................] - ETA: 6s 31/1238 [..............................] - ETA: 6s 41/1238 [..............................] - ETA: 6s 51/1238 [>.............................] - ETA: 6s 62/1238 [>.............................] - ETA: 6s 73/1238 [>.............................] - ETA: 6s 84/1238 [=>............................] - ETA: 5s 95/1238 [=>............................] - ETA: 5s 106/1238 [=>............................] - ETA: 5s 117/1238 [=>............................] - ETA: 5s 128/1238 [==>...........................] - ETA: 5s 139/1238 [==>...........................] - ETA: 5s 150/1238 [==>...........................] - ETA: 5s 161/1238 [==>...........................] - ETA: 5s 172/1238 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1217/1238 [============================>.] - ETA: 0s 1228/1238 [============================>.] - ETA: 0s 1238/1238 [==============================] - ETA: 0s 1238/1238 [==============================] - 20s 5ms/step +2022-09-22_23-07-46: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(40535, 10) +loading nonpeaks... +got split:train for bed regions:(36322, 10) +loading peaks... +got split:valid for bed regions:(4099, 10) +loading nonpeaks... +got split:valid for bed regions:(3286, 10) +Epoch 1/50 + 1/697 [..............................] - ETA: 1:38:36 - loss: 170.1719 - logits_profile_predictions_loss: 165.2456 - logcount_predictions_loss: 0.9123 2/697 [..............................] - ETA: 1:46 - loss: 1195.8079 - logits_profile_predictions_loss: 168.2299 - logcount_predictions_loss: 190.2922 3/697 [..............................] - ETA: 1:46 - loss: 1308.2110 - logits_profile_predictions_loss: 167.0043 - logcount_predictions_loss: 211.3346 4/697 [..............................] - ETA: 1:45 - loss: 1278.9550 - logits_profile_predictions_loss: 166.0830 - logcount_predictions_loss: 206.0874 5/697 [..............................] - ETA: 1:45 - loss: 1220.6124 - logits_profile_predictions_loss: 165.6302 - logcount_predictions_loss: 195.3671 6/697 [..............................] - ETA: 1:45 - loss: 1159.5156 - logits_profile_predictions_loss: 165.7842 - logcount_predictions_loss: 184.0243 7/697 [..............................] - ETA: 1:44 - loss: 1101.8040 - logits_profile_predictions_loss: 165.7440 - logcount_predictions_loss: 173.3445 8/697 [..............................] - ETA: 1:44 - loss: 1049.7048 - logits_profile_predictions_loss: 166.0032 - logcount_predictions_loss: 163.6485 9/697 [..............................] - ETA: 1:44 - loss: 1002.8546 - logits_profile_predictions_loss: 166.1862 - logcount_predictions_loss: 154.9386 10/697 [..............................] - ETA: 1:44 - loss: 960.6398 - logits_profile_predictions_loss: 166.1585 - logcount_predictions_loss: 147.1262  11/697 [..............................] - ETA: 1:44 - loss: 922.7054 - logits_profile_predictions_loss: 166.1194 - logcount_predictions_loss: 140.1085 12/697 [..............................] - ETA: 1:43 - loss: 888.6184 - logits_profile_predictions_loss: 166.1806 - logcount_predictions_loss: 133.7848 13/697 [..............................] - ETA: 1:43 - loss: 857.8124 - logits_profile_predictions_loss: 166.2777 - logcount_predictions_loss: 128.0620 14/697 [..............................] - ETA: 1:43 - loss: 829.8055 - logits_profile_predictions_loss: 166.3646 - logcount_predictions_loss: 122.8594 15/697 [..............................] - ETA: 1:43 - loss: 804.3102 - logits_profile_predictions_loss: 166.5057 - logcount_predictions_loss: 118.1120 16/697 [..............................] - ETA: 1:43 - loss: 780.8915 - logits_profile_predictions_loss: 166.5868 - logcount_predictions_loss: 113.7601 17/697 [..............................] - ETA: 1:43 - loss: 759.3288 - logits_profile_predictions_loss: 166.6437 - logcount_predictions_loss: 109.7565 18/697 [..............................] - ETA: 1:42 - loss: 739.3746 - logits_profile_predictions_loss: 166.6533 - logcount_predictions_loss: 106.0595 19/697 [..............................] - ETA: 1:42 - loss: 720.9102 - logits_profile_predictions_loss: 166.6803 - logcount_predictions_loss: 102.6352 20/697 [..............................] - ETA: 1:42 - loss: 703.7583 - logits_profile_predictions_loss: 166.7069 - logcount_predictions_loss: 99.4540  21/697 [..............................] - ETA: 1:42 - loss: 687.7669 - logits_profile_predictions_loss: 166.7218 - logcount_predictions_loss: 96.4898 22/697 [..............................] - ETA: 1:42 - loss: 672.8050 - logits_profile_predictions_loss: 166.7139 - logcount_predictions_loss: 93.7206 23/697 [..............................] - ETA: 1:42 - loss: 658.8308 - logits_profile_predictions_loss: 166.7415 - logcount_predictions_loss: 91.1277 24/697 [>.............................] - ETA: 1:42 - loss: 645.7305 - logits_profile_predictions_loss: 166.7829 - logcount_predictions_loss: 88.6940 25/697 [>.............................] - ETA: 1:41 - loss: 633.4104 - logits_profile_predictions_loss: 166.8251 - logcount_predictions_loss: 86.4047 26/697 [>.............................] - ETA: 1:41 - loss: 621.8116 - logits_profile_predictions_loss: 166.8769 - logcount_predictions_loss: 84.2472 27/697 [>.............................] - ETA: 1:41 - loss: 610.8556 - logits_profile_predictions_loss: 166.9245 - logcount_predictions_loss: 82.2095 28/697 [>.............................] - ETA: 1:41 - loss: 600.4953 - logits_profile_predictions_loss: 166.9740 - logcount_predictions_loss: 80.2817 29/697 [>.............................] - ETA: 1:41 - loss: 590.6754 - logits_profile_predictions_loss: 167.0200 - logcount_predictions_loss: 78.4547 30/697 [>.............................] - ETA: 1:41 - loss: 581.3644 - logits_profile_predictions_loss: 167.0731 - logcount_predictions_loss: 76.7206 31/697 [>.............................] - ETA: 1:40 - loss: 572.5130 - logits_profile_predictions_loss: 167.1235 - logcount_predictions_loss: 75.0721 32/697 [>.............................] - ETA: 1:40 - loss: 564.0778 - logits_profile_predictions_loss: 167.1630 - logcount_predictions_loss: 73.5027 33/697 [>.............................] - ETA: 1:40 - loss: 556.0632 - logits_profile_predictions_loss: 167.2244 - logcount_predictions_loss: 72.0072 34/697 [>.............................] - ETA: 1:40 - loss: 548.4029 - logits_profile_predictions_loss: 167.2732 - logcount_predictions_loss: 70.5796 35/697 [>.............................] - ETA: 1:40 - loss: 541.0731 - logits_profile_predictions_loss: 167.3103 - logcount_predictions_loss: 69.2153 36/697 [>.............................] - ETA: 1:40 - loss: 534.0662 - logits_profile_predictions_loss: 167.3509 - logcount_predictions_loss: 67.9102 37/697 [>.............................] - ETA: 1:40 - loss: 527.3664 - logits_profile_predictions_loss: 167.3994 - logcount_predictions_loss: 66.6606 38/697 [>.............................] - ETA: 1:39 - loss: 520.9431 - logits_profile_predictions_loss: 167.4451 - logcount_predictions_loss: 65.4626 39/697 [>.............................] - ETA: 1:39 - loss: 514.7806 - logits_profile_predictions_loss: 167.4898 - logcount_predictions_loss: 64.3131 40/697 [>.............................] - ETA: 2:08 - loss: 508.8854 - logits_profile_predictions_loss: 167.5364 - logcount_predictions_loss: 63.2128 41/697 [>.............................] - ETA: 2:07 - loss: 503.2102 - logits_profile_predictions_loss: 167.5752 - logcount_predictions_loss: 62.1546 42/697 [>.............................] - ETA: 2:07 - loss: 497.7459 - logits_profile_predictions_loss: 167.6105 - logcount_predictions_loss: 61.1362 43/697 [>.............................] - ETA: 2:06 - loss: 492.4843 - logits_profile_predictions_loss: 167.6458 - logcount_predictions_loss: 60.1553 44/697 [>.............................] - ETA: 2:05 - loss: 487.4162 - logits_profile_predictions_loss: 167.6834 - logcount_predictions_loss: 59.2098 45/697 [>.............................] - ETA: 2:04 - loss: 482.5316 - logits_profile_predictions_loss: 167.7234 - logcount_predictions_loss: 58.2978 46/697 [>.............................] - ETA: 2:03 - loss: 477.8205 - logits_profile_predictions_loss: 167.7658 - logcount_predictions_loss: 57.4175 47/697 [=>............................] - ETA: 2:03 - loss: 473.2785 - logits_profile_predictions_loss: 167.8147 - logcount_predictions_loss: 56.5674 48/697 [=>............................] - ETA: 2:02 - loss: 468.8821 - logits_profile_predictions_loss: 167.8568 - logcount_predictions_loss: 55.7454 49/697 [=>............................] - ETA: 2:01 - loss: 464.6344 - logits_profile_predictions_loss: 167.9016 - logcount_predictions_loss: 54.9505 50/697 [=>............................] - ETA: 2:00 - loss: 460.5252 - logits_profile_predictions_loss: 167.9472 - logcount_predictions_loss: 54.1811 51/697 [=>............................] - ETA: 2:00 - loss: 456.5471 - logits_profile_predictions_loss: 167.9923 - logcount_predictions_loss: 53.4361 52/697 [=>............................] - ETA: 1:59 - loss: 452.6931 - logits_profile_predictions_loss: 168.0369 - logcount_predictions_loss: 52.7141 53/697 [=>............................] - ETA: 1:59 - loss: 448.9599 - logits_profile_predictions_loss: 168.0831 - logcount_predictions_loss: 52.0142 54/697 [=>............................] - ETA: 1:58 - loss: 445.3401 - logits_profile_predictions_loss: 168.1295 - logcount_predictions_loss: 51.3353 55/697 [=>............................] - ETA: 1:57 - loss: 441.8284 - logits_profile_predictions_loss: 168.1759 - logcount_predictions_loss: 50.6764 56/697 [=>............................] - ETA: 1:57 - loss: 438.4236 - logits_profile_predictions_loss: 168.2254 - logcount_predictions_loss: 50.0367 57/697 [=>............................] - ETA: 1:56 - loss: 435.1096 - logits_profile_predictions_loss: 168.2678 - logcount_predictions_loss: 49.4151 58/697 [=>............................] - ETA: 1:56 - loss: 431.8918 - logits_profile_predictions_loss: 168.3120 - logcount_predictions_loss: 48.8111 59/697 [=>............................] - ETA: 1:55 - loss: 428.7648 - logits_profile_predictions_loss: 168.3568 - logcount_predictions_loss: 48.2237 60/697 [=>............................] - ETA: 1:55 - loss: 425.7244 - logits_profile_predictions_loss: 168.4016 - logcount_predictions_loss: 47.6524 61/697 [=>............................] - ETA: 1:54 - loss: 422.7600 - logits_profile_predictions_loss: 168.4404 - logcount_predictions_loss: 47.0962 62/697 [=>............................] - ETA: 1:54 - loss: 419.8714 - logits_profile_predictions_loss: 168.4758 - logcount_predictions_loss: 46.5547 63/697 [=>............................] - ETA: 1:53 - loss: 417.0558 - logits_profile_predictions_loss: 168.5082 - logcount_predictions_loss: 46.0273 64/697 [=>............................] - ETA: 1:53 - loss: 414.3121 - logits_profile_predictions_loss: 168.5395 - logcount_predictions_loss: 45.5134 65/697 [=>............................] - ETA: 1:53 - loss: 411.6370 - logits_profile_predictions_loss: 168.5693 - logcount_predictions_loss: 45.0125 66/697 [=>............................] - ETA: 1:52 - loss: 409.0255 - logits_profile_predictions_loss: 168.5957 - logcount_predictions_loss: 44.5240 67/697 [=>............................] - ETA: 1:52 - loss: 406.4776 - logits_profile_predictions_loss: 168.6208 - logcount_predictions_loss: 44.0475 68/697 [=>............................] - ETA: 1:51 - loss: 403.9908 - logits_profile_predictions_loss: 168.6449 - logcount_predictions_loss: 43.5826 69/697 [=>............................] - ETA: 1:51 - loss: 401.5629 - logits_profile_predictions_loss: 168.6679 - logcount_predictions_loss: 43.1287 70/697 [==>...........................] - ETA: 1:50 - loss: 399.1910 - logits_profile_predictions_loss: 168.6893 - logcount_predictions_loss: 42.6855 71/697 [==>...........................] - ETA: 1:50 - loss: 396.8756 - logits_profile_predictions_loss: 168.7113 - logcount_predictions_loss: 42.2526 72/697 [==>...........................] - ETA: 1:50 - loss: 394.6155 - logits_profile_predictions_loss: 168.7345 - logcount_predictions_loss: 41.8298 73/697 [==>...........................] - ETA: 1:49 - loss: 392.4080 - logits_profile_predictions_loss: 168.7583 - logcount_predictions_loss: 41.4166 74/697 [==>...........................] - ETA: 1:49 - loss: 390.2506 - logits_profile_predictions_loss: 168.7821 - logcount_predictions_loss: 41.0127 75/697 [==>...........................] - ETA: 1:48 - loss: 388.1391 - logits_profile_predictions_loss: 168.8036 - logcount_predictions_loss: 40.6177 76/697 [==>...........................] - ETA: 1:48 - loss: 386.0689 - logits_profile_predictions_loss: 168.8203 - logcount_predictions_loss: 40.2312 77/697 [==>...........................] - ETA: 1:48 - loss: 384.0426 - logits_profile_predictions_loss: 168.8359 - logcount_predictions_loss: 39.8531 78/697 [==>...........................] - ETA: 1:47 - loss: 382.0623 - logits_profile_predictions_loss: 168.8537 - logcount_predictions_loss: 39.4831 79/697 [==>...........................] - ETA: 1:47 - loss: 380.1247 - logits_profile_predictions_loss: 168.8718 - logcount_predictions_loss: 39.1209 80/697 [==>...........................] - ETA: 1:47 - loss: 378.2263 - logits_profile_predictions_loss: 168.8886 - logcount_predictions_loss: 38.7662 81/697 [==>...........................] - ETA: 1:46 - loss: 376.3660 - logits_profile_predictions_loss: 168.9041 - logcount_predictions_loss: 38.4189 82/697 [==>...........................] - ETA: 1:46 - loss: 374.5454 - logits_profile_predictions_loss: 168.9208 - logcount_predictions_loss: 38.0786 83/697 [==>...........................] - ETA: 1:46 - loss: 372.7615 - logits_profile_predictions_loss: 168.9374 - logcount_predictions_loss: 37.7452 84/697 [==>...........................] - ETA: 1:45 - loss: 371.0130 - logits_profile_predictions_loss: 168.9536 - logcount_predictions_loss: 37.4184 85/697 [==>...........................] - ETA: 1:45 - loss: 369.2997 - logits_profile_predictions_loss: 168.9702 - logcount_predictions_loss: 37.0981 86/697 [==>...........................] - ETA: 1:45 - loss: 367.6162 - logits_profile_predictions_loss: 168.9833 - logcount_predictions_loss: 36.7839 87/697 [==>...........................] - ETA: 1:44 - loss: 365.9663 - logits_profile_predictions_loss: 168.9972 - logcount_predictions_loss: 36.4758 88/697 [==>...........................] - ETA: 1:44 - loss: 364.3465 - logits_profile_predictions_loss: 169.0096 - logcount_predictions_loss: 36.1735 89/697 [==>...........................] - ETA: 1:44 - loss: 362.7571 - logits_profile_predictions_loss: 169.0217 - logcount_predictions_loss: 35.8769 90/697 [==>...........................] - ETA: 1:43 - loss: 361.1957 - logits_profile_predictions_loss: 169.0320 - logcount_predictions_loss: 35.5859 91/697 [==>...........................] - ETA: 1:43 - loss: 359.6644 - logits_profile_predictions_loss: 169.0433 - logcount_predictions_loss: 35.3002 92/697 [==>...........................] - ETA: 1:43 - loss: 358.1629 - logits_profile_predictions_loss: 169.0561 - logcount_predictions_loss: 35.0198 93/697 [===>..........................] - ETA: 1:43 - loss: 356.6890 - logits_profile_predictions_loss: 169.0691 - logcount_predictions_loss: 34.7444 94/697 [===>..........................] - ETA: 1:42 - loss: 355.2432 - logits_profile_predictions_loss: 169.0833 - logcount_predictions_loss: 34.4741 95/697 [===>..........................] - ETA: 1:42 - loss: 353.8236 - logits_profile_predictions_loss: 169.0976 - logcount_predictions_loss: 34.2085 96/697 [===>..........................] - ETA: 1:42 - loss: 352.4277 - logits_profile_predictions_loss: 169.1106 - logcount_predictions_loss: 33.9476 97/697 [===>..........................] - ETA: 1:41 - loss: 351.0572 - logits_profile_predictions_loss: 169.1244 - logcount_predictions_loss: 33.6913 98/697 [===>..........................] - ETA: 1:41 - loss: 349.7090 - logits_profile_predictions_loss: 169.1367 - logcount_predictions_loss: 33.4393 99/697 [===>..........................] - ETA: 1:41 - loss: 348.3816 - logits_profile_predictions_loss: 169.1469 - logcount_predictions_loss: 33.1916 100/697 [===>..........................] - ETA: 1:41 - loss: 347.0783 - logits_profile_predictions_loss: 169.1583 - logcount_predictions_loss: 32.9481 101/697 [===>..........................] - ETA: 1:40 - loss: 345.7989 - logits_profile_predictions_loss: 169.1716 - logcount_predictions_loss: 32.7088 102/697 [===>..........................] - ETA: 1:40 - loss: 344.5421 - logits_profile_predictions_loss: 169.1858 - logcount_predictions_loss: 32.4734 103/697 [===>..........................] - ETA: 1:40 - loss: 343.3052 - logits_profile_predictions_loss: 169.1993 - logcount_predictions_loss: 32.2418 104/697 [===>..........................] - ETA: 1:39 - loss: 342.0877 - logits_profile_predictions_loss: 169.2118 - logcount_predictions_loss: 32.0140 105/697 [===>..........................] - ETA: 1:39 - loss: 340.8906 - logits_profile_predictions_loss: 169.2248 - logcount_predictions_loss: 31.7900 106/697 [===>..........................] - ETA: 1:39 - loss: 339.7133 - logits_profile_predictions_loss: 169.2382 - logcount_predictions_loss: 31.5695 107/697 [===>..........................] - ETA: 1:39 - loss: 338.5548 - logits_profile_predictions_loss: 169.2515 - logcount_predictions_loss: 31.3525 108/697 [===>..........................] - ETA: 1:38 - loss: 337.4137 - logits_profile_predictions_loss: 169.2637 - logcount_predictions_loss: 31.1389 109/697 [===>..........................] - ETA: 1:38 - loss: 336.2887 - logits_profile_predictions_loss: 169.2744 - logcount_predictions_loss: 30.9286 110/697 [===>..........................] - ETA: 1:38 - loss: 335.1812 - logits_profile_predictions_loss: 169.2848 - logcount_predictions_loss: 30.7215 111/697 [===>..........................] - ETA: 1:38 - loss: 334.0908 - logits_profile_predictions_loss: 169.2954 - logcount_predictions_loss: 30.5177 112/697 [===>..........................] - ETA: 1:37 - loss: 333.0156 - logits_profile_predictions_loss: 169.3045 - logcount_predictions_loss: 30.3169 113/697 [===>..........................] - ETA: 1:37 - loss: 331.9567 - logits_profile_predictions_loss: 169.3136 - logcount_predictions_loss: 30.1191 114/697 [===>..........................] - ETA: 1:37 - loss: 330.9139 - logits_profile_predictions_loss: 169.3228 - logcount_predictions_loss: 29.9243 115/697 [===>..........................] - ETA: 1:37 - loss: 329.8855 - logits_profile_predictions_loss: 169.3310 - logcount_predictions_loss: 29.7323 116/697 [===>..........................] - ETA: 1:36 - loss: 328.8731 - logits_profile_predictions_loss: 169.3398 - logcount_predictions_loss: 29.5432 117/697 [====>.........................] - ETA: 1:36 - loss: 327.8753 - logits_profile_predictions_loss: 169.3484 - logcount_predictions_loss: 29.3568 118/697 [====>.........................] - ETA: 1:36 - loss: 326.8912 - logits_profile_predictions_loss: 169.3562 - logcount_predictions_loss: 29.1732 119/697 [====>.........................] - ETA: 1:36 - loss: 325.9214 - logits_profile_predictions_loss: 169.3640 - logcount_predictions_loss: 28.9921 120/697 [====>.........................] - ETA: 1:35 - loss: 324.9651 - logits_profile_predictions_loss: 169.3715 - logcount_predictions_loss: 28.8136 121/697 [====>.........................] - ETA: 1:35 - loss: 324.0215 - logits_profile_predictions_loss: 169.3781 - logcount_predictions_loss: 28.6377 122/697 [====>.........................] - ETA: 1:35 - loss: 323.0916 - logits_profile_predictions_loss: 169.3851 - logcount_predictions_loss: 28.4642 123/697 [====>.........................] - ETA: 1:35 - loss: 322.1736 - logits_profile_predictions_loss: 169.3910 - logcount_predictions_loss: 28.2931 124/697 [====>.........................] - ETA: 1:34 - loss: 321.2674 - 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[==============================] - 112s 160ms/step - loss: 166.5971 - logits_profile_predictions_loss: 165.4799 - logcount_predictions_loss: 0.2069 - val_loss: 171.0670 - val_logits_profile_predictions_loss: 169.5868 - val_logcount_predictions_loss: 0.2741 + +Epoch 00004: val_loss improved from 171.28299 to 171.06697, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 5/50 + 1/697 [..............................] - ETA: 2:07 - loss: 162.2115 - logits_profile_predictions_loss: 160.6598 - logcount_predictions_loss: 0.2874 2/697 [..............................] - ETA: 1:49 - loss: 162.2024 - logits_profile_predictions_loss: 160.6077 - logcount_predictions_loss: 0.2953 3/697 [..............................] - ETA: 1:46 - loss: 161.1621 - logits_profile_predictions_loss: 159.5651 - logcount_predictions_loss: 0.2957 4/697 [..............................] - ETA: 1:46 - loss: 161.8292 - logits_profile_predictions_loss: 160.2169 - logcount_predictions_loss: 0.2986 5/697 [..............................] - ETA: 1:45 - loss: 162.9402 - logits_profile_predictions_loss: 161.3212 - logcount_predictions_loss: 0.2998 6/697 [..............................] - ETA: 1:45 - loss: 163.9155 - logits_profile_predictions_loss: 162.3115 - logcount_predictions_loss: 0.2970 7/697 [..............................] - ETA: 1:45 - loss: 164.5563 - logits_profile_predictions_loss: 162.9606 - logcount_predictions_loss: 0.2955 8/697 [..............................] - ETA: 1:44 - loss: 164.8956 - logits_profile_predictions_loss: 163.3000 - logcount_predictions_loss: 0.2955 9/697 [..............................] - ETA: 1:44 - loss: 165.2181 - logits_profile_predictions_loss: 163.6308 - logcount_predictions_loss: 0.2939 10/697 [..............................] - ETA: 1:44 - loss: 165.4268 - logits_profile_predictions_loss: 163.8515 - logcount_predictions_loss: 0.2917 11/697 [..............................] - ETA: 1:44 - loss: 165.4881 - logits_profile_predictions_loss: 163.9238 - logcount_predictions_loss: 0.2897 12/697 [..............................] - ETA: 1:44 - loss: 165.5626 - logits_profile_predictions_loss: 164.0084 - logcount_predictions_loss: 0.2878 13/697 [..............................] - ETA: 1:43 - loss: 165.6614 - logits_profile_predictions_loss: 164.1170 - logcount_predictions_loss: 0.2860 14/697 [..............................] - ETA: 1:43 - loss: 165.6988 - logits_profile_predictions_loss: 164.1650 - logcount_predictions_loss: 0.2840 15/697 [..............................] - ETA: 1:43 - loss: 165.7473 - logits_profile_predictions_loss: 164.2248 - logcount_predictions_loss: 0.2820 16/697 [..............................] - ETA: 1:43 - loss: 165.8006 - logits_profile_predictions_loss: 164.2900 - logcount_predictions_loss: 0.2797 17/697 [..............................] - ETA: 1:43 - loss: 165.8451 - logits_profile_predictions_loss: 164.3460 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[==>...........................] - ETA: 1:34 - loss: 165.8853 - logits_profile_predictions_loss: 164.6281 - logcount_predictions_loss: 0.2328 72/697 [==>...........................] - ETA: 1:34 - loss: 165.8758 - logits_profile_predictions_loss: 164.6206 - logcount_predictions_loss: 0.2325 73/697 [==>...........................] - ETA: 1:34 - loss: 165.8672 - logits_profile_predictions_loss: 164.6140 - logcount_predictions_loss: 0.2321 74/697 [==>...........................] - ETA: 1:34 - loss: 165.8573 - logits_profile_predictions_loss: 164.6060 - logcount_predictions_loss: 0.2317 75/697 [==>...........................] - ETA: 1:34 - loss: 165.8482 - logits_profile_predictions_loss: 164.5989 - logcount_predictions_loss: 0.2314 76/697 [==>...........................] - ETA: 1:33 - loss: 165.8387 - logits_profile_predictions_loss: 164.5914 - logcount_predictions_loss: 0.2310 77/697 [==>...........................] - ETA: 1:33 - loss: 165.8295 - logits_profile_predictions_loss: 164.5841 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logcount_predictions_loss: 0.1947 696/697 [============================>.] - ETA: 0s - loss: 165.5044 - logits_profile_predictions_loss: 164.4532 - logcount_predictions_loss: 0.1947 697/697 [==============================] - ETA: 0s - loss: 165.5047 - logits_profile_predictions_loss: 164.4535 - logcount_predictions_loss: 0.1947 697/697 [==============================] - 110s 158ms/step - loss: 165.5050 - logits_profile_predictions_loss: 164.4539 - logcount_predictions_loss: 0.1946 - val_loss: 170.7108 - val_logits_profile_predictions_loss: 169.2595 - val_logcount_predictions_loss: 0.2687 + +Epoch 00005: val_loss improved from 171.06697 to 170.71075, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 6/50 + 1/697 [..............................] - ETA: 2:07 - loss: 171.6381 - logits_profile_predictions_loss: 170.3089 - logcount_predictions_loss: 0.2462 2/697 [..............................] - ETA: 1:54 - loss: 171.2933 - logits_profile_predictions_loss: 170.1141 - logcount_predictions_loss: 0.2184 3/697 [..............................] - ETA: 1:49 - loss: 169.9630 - logits_profile_predictions_loss: 168.8706 - logcount_predictions_loss: 0.2023 4/697 [..............................] - ETA: 1:47 - loss: 169.6097 - logits_profile_predictions_loss: 168.5846 - logcount_predictions_loss: 0.1898 5/697 [..............................] - ETA: 1:47 - loss: 169.3411 - logits_profile_predictions_loss: 168.3586 - logcount_predictions_loss: 0.1820 6/697 [..............................] - ETA: 1:46 - loss: 169.4262 - logits_profile_predictions_loss: 168.4654 - logcount_predictions_loss: 0.1779 7/697 [..............................] - ETA: 1:46 - loss: 169.2099 - logits_profile_predictions_loss: 168.2602 - logcount_predictions_loss: 0.1759 8/697 [..............................] - ETA: 1:45 - loss: 168.9474 - logits_profile_predictions_loss: 168.0044 - logcount_predictions_loss: 0.1746 9/697 [..............................] - ETA: 1:45 - loss: 168.7860 - logits_profile_predictions_loss: 167.8429 - logcount_predictions_loss: 0.1746 10/697 [..............................] - ETA: 1:45 - loss: 168.7060 - logits_profile_predictions_loss: 167.7595 - logcount_predictions_loss: 0.1753 11/697 [..............................] - ETA: 1:44 - loss: 168.5785 - logits_profile_predictions_loss: 167.6283 - logcount_predictions_loss: 0.1760 12/697 [..............................] - ETA: 1:44 - loss: 168.4959 - logits_profile_predictions_loss: 167.5420 - logcount_predictions_loss: 0.1766 13/697 [..............................] - ETA: 1:44 - loss: 168.4013 - logits_profile_predictions_loss: 167.4439 - logcount_predictions_loss: 0.1773 14/697 [..............................] - ETA: 1:44 - loss: 168.2902 - logits_profile_predictions_loss: 167.3299 - logcount_predictions_loss: 0.1778 15/697 [..............................] - ETA: 1:43 - loss: 168.1824 - logits_profile_predictions_loss: 167.2211 - logcount_predictions_loss: 0.1780 16/697 [..............................] - ETA: 1:43 - loss: 168.1123 - logits_profile_predictions_loss: 167.1495 - logcount_predictions_loss: 0.1783 17/697 [..............................] - ETA: 1:43 - loss: 168.1034 - logits_profile_predictions_loss: 167.1383 - logcount_predictions_loss: 0.1787 18/697 [..............................] - ETA: 1:43 - loss: 168.0764 - logits_profile_predictions_loss: 167.1089 - logcount_predictions_loss: 0.1792 19/697 [..............................] - ETA: 1:43 - loss: 168.0337 - logits_profile_predictions_loss: 167.0650 - logcount_predictions_loss: 0.1794 20/697 [..............................] - ETA: 1:43 - loss: 167.9987 - logits_profile_predictions_loss: 167.0286 - logcount_predictions_loss: 0.1796 21/697 [..............................] - ETA: 1:42 - loss: 167.9766 - logits_profile_predictions_loss: 167.0055 - logcount_predictions_loss: 0.1798 22/697 [..............................] - ETA: 1:42 - loss: 167.9283 - logits_profile_predictions_loss: 166.9563 - logcount_predictions_loss: 0.1800 23/697 [..............................] - ETA: 1:42 - loss: 167.8588 - logits_profile_predictions_loss: 166.8864 - logcount_predictions_loss: 0.1801 24/697 [>.............................] - ETA: 1:42 - loss: 167.7748 - logits_profile_predictions_loss: 166.8015 - logcount_predictions_loss: 0.1803 25/697 [>.............................] - ETA: 1:42 - loss: 167.7152 - logits_profile_predictions_loss: 166.7404 - logcount_predictions_loss: 0.1805 26/697 [>.............................] - ETA: 1:41 - loss: 167.6625 - logits_profile_predictions_loss: 166.6860 - logcount_predictions_loss: 0.1808 27/697 [>.............................] - ETA: 1:41 - loss: 167.6073 - logits_profile_predictions_loss: 166.6293 - logcount_predictions_loss: 0.1811 28/697 [>.............................] - ETA: 1:41 - loss: 167.5587 - logits_profile_predictions_loss: 166.5791 - logcount_predictions_loss: 0.1814 29/697 [>.............................] - ETA: 1:41 - loss: 167.5283 - logits_profile_predictions_loss: 166.5470 - logcount_predictions_loss: 0.1817 30/697 [>.............................] - ETA: 1:41 - loss: 167.5018 - logits_profile_predictions_loss: 166.5192 - logcount_predictions_loss: 0.1820 31/697 [>.............................] - ETA: 1:41 - loss: 167.4685 - logits_profile_predictions_loss: 166.4849 - logcount_predictions_loss: 0.1822 32/697 [>.............................] - ETA: 1:40 - loss: 167.4444 - logits_profile_predictions_loss: 166.4598 - logcount_predictions_loss: 0.1823 33/697 [>.............................] - ETA: 1:40 - loss: 167.4117 - logits_profile_predictions_loss: 166.4263 - logcount_predictions_loss: 0.1825 34/697 [>.............................] - ETA: 1:40 - loss: 167.3909 - logits_profile_predictions_loss: 166.4045 - logcount_predictions_loss: 0.1827 35/697 [>.............................] - ETA: 1:40 - loss: 167.3712 - logits_profile_predictions_loss: 166.3838 - logcount_predictions_loss: 0.1828 36/697 [>.............................] - ETA: 1:40 - loss: 167.3541 - logits_profile_predictions_loss: 166.3659 - logcount_predictions_loss: 0.1830 37/697 [>.............................] - ETA: 1:40 - loss: 167.3416 - logits_profile_predictions_loss: 166.3525 - logcount_predictions_loss: 0.1832 38/697 [>.............................] - ETA: 1:39 - loss: 167.3301 - logits_profile_predictions_loss: 166.3399 - logcount_predictions_loss: 0.1834 39/697 [>.............................] - ETA: 1:39 - loss: 167.3264 - logits_profile_predictions_loss: 166.3351 - logcount_predictions_loss: 0.1836 40/697 [>.............................] - ETA: 1:39 - loss: 167.3218 - logits_profile_predictions_loss: 166.3295 - logcount_predictions_loss: 0.1838 41/697 [>.............................] - ETA: 1:39 - loss: 167.3130 - logits_profile_predictions_loss: 166.3197 - logcount_predictions_loss: 0.1839 42/697 [>.............................] - ETA: 1:39 - loss: 167.3100 - logits_profile_predictions_loss: 166.3158 - logcount_predictions_loss: 0.1841 43/697 [>.............................] - ETA: 1:39 - loss: 167.3142 - logits_profile_predictions_loss: 166.3192 - logcount_predictions_loss: 0.1843 44/697 [>.............................] - ETA: 1:39 - loss: 167.3174 - logits_profile_predictions_loss: 166.3217 - logcount_predictions_loss: 0.1844 45/697 [>.............................] - ETA: 1:38 - loss: 167.3171 - logits_profile_predictions_loss: 166.3207 - logcount_predictions_loss: 0.1845 46/697 [>.............................] - ETA: 1:38 - loss: 167.3198 - logits_profile_predictions_loss: 166.3228 - logcount_predictions_loss: 0.1846 47/697 [=>............................] - ETA: 1:38 - loss: 167.3215 - logits_profile_predictions_loss: 166.3241 - logcount_predictions_loss: 0.1847 48/697 [=>............................] - ETA: 1:38 - loss: 167.3179 - logits_profile_predictions_loss: 166.3201 - logcount_predictions_loss: 0.1848 49/697 [=>............................] - ETA: 1:38 - loss: 167.3107 - logits_profile_predictions_loss: 166.3125 - logcount_predictions_loss: 0.1848 50/697 [=>............................] - ETA: 1:38 - loss: 167.3060 - logits_profile_predictions_loss: 166.3074 - logcount_predictions_loss: 0.1849 51/697 [=>............................] - ETA: 1:37 - loss: 167.3035 - logits_profile_predictions_loss: 166.3045 - logcount_predictions_loss: 0.1850 52/697 [=>............................] - ETA: 1:37 - loss: 167.3030 - logits_profile_predictions_loss: 166.3035 - logcount_predictions_loss: 0.1851 53/697 [=>............................] - ETA: 1:37 - loss: 167.3013 - logits_profile_predictions_loss: 166.3016 - logcount_predictions_loss: 0.1851 54/697 [=>............................] - ETA: 1:37 - loss: 167.2934 - logits_profile_predictions_loss: 166.2934 - logcount_predictions_loss: 0.1852 55/697 [=>............................] - ETA: 1:37 - loss: 167.2894 - logits_profile_predictions_loss: 166.2894 - logcount_predictions_loss: 0.1852 56/697 [=>............................] - ETA: 1:37 - loss: 167.2854 - logits_profile_predictions_loss: 166.2851 - logcount_predictions_loss: 0.1852 57/697 [=>............................] - ETA: 1:37 - loss: 167.2785 - logits_profile_predictions_loss: 166.2781 - logcount_predictions_loss: 0.1853 58/697 [=>............................] - ETA: 1:36 - loss: 167.2758 - logits_profile_predictions_loss: 166.2753 - logcount_predictions_loss: 0.1853 59/697 [=>............................] - ETA: 1:36 - loss: 167.2716 - logits_profile_predictions_loss: 166.2710 - logcount_predictions_loss: 0.1853 60/697 [=>............................] - ETA: 1:36 - loss: 167.2687 - logits_profile_predictions_loss: 166.2681 - logcount_predictions_loss: 0.1853 61/697 [=>............................] - ETA: 1:36 - loss: 167.2640 - logits_profile_predictions_loss: 166.2634 - logcount_predictions_loss: 0.1853 62/697 [=>............................] - ETA: 1:36 - loss: 167.2589 - logits_profile_predictions_loss: 166.2584 - logcount_predictions_loss: 0.1853 63/697 [=>............................] - ETA: 1:36 - loss: 167.2477 - logits_profile_predictions_loss: 166.2473 - logcount_predictions_loss: 0.1853 64/697 [=>............................] - ETA: 1:35 - loss: 167.2382 - logits_profile_predictions_loss: 166.2378 - logcount_predictions_loss: 0.1852 65/697 [=>............................] - ETA: 1:35 - loss: 167.2273 - logits_profile_predictions_loss: 166.2271 - logcount_predictions_loss: 0.1852 66/697 [=>............................] - ETA: 1:35 - loss: 167.2157 - logits_profile_predictions_loss: 166.2156 - logcount_predictions_loss: 0.1852 67/697 [=>............................] - ETA: 1:35 - loss: 167.2057 - logits_profile_predictions_loss: 166.2058 - logcount_predictions_loss: 0.1852 68/697 [=>............................] - ETA: 1:35 - loss: 167.1954 - logits_profile_predictions_loss: 166.1957 - logcount_predictions_loss: 0.1851 69/697 [=>............................] - ETA: 1:35 - loss: 167.1840 - logits_profile_predictions_loss: 166.1846 - logcount_predictions_loss: 0.1851 70/697 [==>...........................] - ETA: 1:35 - loss: 167.1720 - logits_profile_predictions_loss: 166.1729 - logcount_predictions_loss: 0.1850 71/697 [==>...........................] - ETA: 1:34 - loss: 167.1583 - logits_profile_predictions_loss: 166.1594 - logcount_predictions_loss: 0.1850 72/697 [==>...........................] - ETA: 1:34 - loss: 167.1472 - logits_profile_predictions_loss: 166.1486 - logcount_predictions_loss: 0.1849 73/697 [==>...........................] - ETA: 1:34 - loss: 167.1376 - logits_profile_predictions_loss: 166.1393 - logcount_predictions_loss: 0.1849 74/697 [==>...........................] - ETA: 1:34 - loss: 167.1287 - logits_profile_predictions_loss: 166.1307 - logcount_predictions_loss: 0.1848 75/697 [==>...........................] - ETA: 1:34 - loss: 167.1221 - logits_profile_predictions_loss: 166.1245 - logcount_predictions_loss: 0.1848 76/697 [==>...........................] - ETA: 1:34 - loss: 167.1137 - logits_profile_predictions_loss: 166.1164 - logcount_predictions_loss: 0.1847 77/697 [==>...........................] - ETA: 1:33 - loss: 167.1061 - logits_profile_predictions_loss: 166.1092 - logcount_predictions_loss: 0.1846 78/697 [==>...........................] - ETA: 1:33 - loss: 167.0981 - logits_profile_predictions_loss: 166.1016 - logcount_predictions_loss: 0.1845 79/697 [==>...........................] - ETA: 1:33 - loss: 167.0903 - logits_profile_predictions_loss: 166.0941 - logcount_predictions_loss: 0.1845 80/697 [==>...........................] - ETA: 1:33 - loss: 167.0812 - logits_profile_predictions_loss: 166.0853 - logcount_predictions_loss: 0.1844 81/697 [==>...........................] - ETA: 1:33 - loss: 167.0736 - logits_profile_predictions_loss: 166.0781 - logcount_predictions_loss: 0.1844 82/697 [==>...........................] - ETA: 1:33 - loss: 167.0643 - logits_profile_predictions_loss: 166.0690 - logcount_predictions_loss: 0.1843 83/697 [==>...........................] - ETA: 1:33 - loss: 167.0552 - logits_profile_predictions_loss: 166.0603 - logcount_predictions_loss: 0.1843 84/697 [==>...........................] - ETA: 1:32 - loss: 167.0453 - logits_profile_predictions_loss: 166.0505 - logcount_predictions_loss: 0.1842 85/697 [==>...........................] - ETA: 1:32 - loss: 167.0364 - logits_profile_predictions_loss: 166.0420 - logcount_predictions_loss: 0.1842 86/697 [==>...........................] - ETA: 1:32 - loss: 167.0280 - logits_profile_predictions_loss: 166.0337 - logcount_predictions_loss: 0.1841 87/697 [==>...........................] - ETA: 1:32 - loss: 167.0181 - logits_profile_predictions_loss: 166.0240 - logcount_predictions_loss: 0.1841 88/697 [==>...........................] - ETA: 1:32 - loss: 167.0079 - logits_profile_predictions_loss: 166.0140 - logcount_predictions_loss: 0.1841 89/697 [==>...........................] - ETA: 1:32 - loss: 166.9979 - logits_profile_predictions_loss: 166.0041 - logcount_predictions_loss: 0.1840 90/697 [==>...........................] - ETA: 1:31 - loss: 166.9868 - logits_profile_predictions_loss: 165.9931 - logcount_predictions_loss: 0.1840 91/697 [==>...........................] - ETA: 1:31 - loss: 166.9764 - logits_profile_predictions_loss: 165.9828 - logcount_predictions_loss: 0.1840 92/697 [==>...........................] - ETA: 1:31 - loss: 166.9675 - logits_profile_predictions_loss: 165.9741 - logcount_predictions_loss: 0.1840 93/697 [===>..........................] - ETA: 1:31 - loss: 166.9588 - logits_profile_predictions_loss: 165.9655 - logcount_predictions_loss: 0.1839 94/697 [===>..........................] - ETA: 1:31 - loss: 166.9502 - logits_profile_predictions_loss: 165.9571 - logcount_predictions_loss: 0.1839 95/697 [===>..........................] - ETA: 1:31 - loss: 166.9420 - logits_profile_predictions_loss: 165.9490 - logcount_predictions_loss: 0.1839 96/697 [===>..........................] - ETA: 1:31 - loss: 166.9338 - logits_profile_predictions_loss: 165.9409 - logcount_predictions_loss: 0.1839 97/697 [===>..........................] - ETA: 1:30 - loss: 166.9250 - logits_profile_predictions_loss: 165.9322 - logcount_predictions_loss: 0.1839 98/697 [===>..........................] - ETA: 1:30 - loss: 166.9166 - logits_profile_predictions_loss: 165.9239 - logcount_predictions_loss: 0.1838 99/697 [===>..........................] - ETA: 1:30 - loss: 166.9071 - logits_profile_predictions_loss: 165.9145 - logcount_predictions_loss: 0.1838 100/697 [===>..........................] - ETA: 1:30 - loss: 166.8983 - logits_profile_predictions_loss: 165.9058 - logcount_predictions_loss: 0.1838 101/697 [===>..........................] - ETA: 1:30 - loss: 166.8892 - logits_profile_predictions_loss: 165.8968 - logcount_predictions_loss: 0.1838 102/697 [===>..........................] - ETA: 1:30 - loss: 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[===>..........................] - ETA: 1:29 - loss: 166.8341 - logits_profile_predictions_loss: 165.8425 - logcount_predictions_loss: 0.1836 110/697 [===>..........................] - ETA: 1:28 - loss: 166.8278 - logits_profile_predictions_loss: 165.8362 - logcount_predictions_loss: 0.1836 111/697 [===>..........................] - ETA: 1:28 - loss: 166.8208 - logits_profile_predictions_loss: 165.8293 - logcount_predictions_loss: 0.1836 112/697 [===>..........................] - ETA: 1:28 - loss: 166.8133 - logits_profile_predictions_loss: 165.8218 - logcount_predictions_loss: 0.1836 113/697 [===>..........................] - ETA: 1:28 - loss: 166.8074 - logits_profile_predictions_loss: 165.8158 - logcount_predictions_loss: 0.1836 114/697 [===>..........................] - ETA: 1:28 - loss: 166.8012 - logits_profile_predictions_loss: 165.8096 - logcount_predictions_loss: 0.1836 115/697 [===>..........................] - ETA: 1:28 - loss: 166.7946 - logits_profile_predictions_loss: 165.8030 - logcount_predictions_loss: 0.1836 116/697 [===>..........................] - ETA: 1:28 - loss: 166.7878 - logits_profile_predictions_loss: 165.7961 - logcount_predictions_loss: 0.1836 117/697 [====>.........................] - ETA: 1:27 - loss: 166.7811 - logits_profile_predictions_loss: 165.7894 - logcount_predictions_loss: 0.1837 118/697 [====>.........................] - ETA: 1:27 - loss: 166.7742 - logits_profile_predictions_loss: 165.7824 - logcount_predictions_loss: 0.1837 119/697 [====>.........................] - ETA: 1:27 - loss: 166.7674 - logits_profile_predictions_loss: 165.7755 - logcount_predictions_loss: 0.1837 120/697 [====>.........................] - ETA: 1:27 - loss: 166.7599 - logits_profile_predictions_loss: 165.7680 - logcount_predictions_loss: 0.1837 121/697 [====>.........................] - ETA: 1:27 - loss: 166.7522 - logits_profile_predictions_loss: 165.7603 - logcount_predictions_loss: 0.1837 122/697 [====>.........................] - ETA: 1:27 - loss: 166.7445 - logits_profile_predictions_loss: 165.7525 - logcount_predictions_loss: 0.1837 123/697 [====>.........................] - ETA: 1:26 - loss: 166.7369 - logits_profile_predictions_loss: 165.7448 - logcount_predictions_loss: 0.1837 124/697 [====>.........................] - ETA: 1:26 - loss: 166.7292 - logits_profile_predictions_loss: 165.7371 - logcount_predictions_loss: 0.1837 125/697 [====>.........................] - ETA: 1:26 - loss: 166.7217 - logits_profile_predictions_loss: 165.7295 - logcount_predictions_loss: 0.1837 126/697 [====>.........................] - ETA: 1:26 - loss: 166.7142 - logits_profile_predictions_loss: 165.7220 - logcount_predictions_loss: 0.1837 127/697 [====>.........................] - ETA: 1:26 - loss: 166.7066 - logits_profile_predictions_loss: 165.7144 - logcount_predictions_loss: 0.1838 128/697 [====>.........................] - ETA: 1:26 - loss: 166.6990 - logits_profile_predictions_loss: 165.7067 - logcount_predictions_loss: 0.1838 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[=>............................] - ETA: 1:38 - loss: 162.7304 - logits_profile_predictions_loss: 161.8183 - logcount_predictions_loss: 0.1689 50/697 [=>............................] - ETA: 1:38 - loss: 162.7433 - logits_profile_predictions_loss: 161.8304 - logcount_predictions_loss: 0.1691 51/697 [=>............................] - ETA: 1:37 - loss: 162.7573 - logits_profile_predictions_loss: 161.8436 - logcount_predictions_loss: 0.1692 52/697 [=>............................] - ETA: 1:37 - loss: 162.7705 - logits_profile_predictions_loss: 161.8558 - logcount_predictions_loss: 0.1694 53/697 [=>............................] - ETA: 1:37 - loss: 162.7893 - logits_profile_predictions_loss: 161.8737 - logcount_predictions_loss: 0.1696 54/697 [=>............................] - ETA: 1:37 - loss: 162.8065 - logits_profile_predictions_loss: 161.8899 - logcount_predictions_loss: 0.1697 55/697 [=>............................] - ETA: 1:37 - loss: 162.8187 - logits_profile_predictions_loss: 161.9010 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logits_profile_predictions_loss: 161.9449 - logcount_predictions_loss: 0.1714 63/697 [=>............................] - ETA: 1:36 - loss: 162.8756 - logits_profile_predictions_loss: 161.9494 - logcount_predictions_loss: 0.1715 64/697 [=>............................] - ETA: 1:35 - loss: 162.8810 - logits_profile_predictions_loss: 161.9539 - logcount_predictions_loss: 0.1717 65/697 [=>............................] - ETA: 1:35 - loss: 162.8899 - logits_profile_predictions_loss: 161.9619 - logcount_predictions_loss: 0.1718 66/697 [=>............................] - ETA: 1:35 - loss: 162.8968 - logits_profile_predictions_loss: 161.9681 - logcount_predictions_loss: 0.1720 67/697 [=>............................] - ETA: 1:35 - loss: 162.9038 - logits_profile_predictions_loss: 161.9742 - logcount_predictions_loss: 0.1722 68/697 [=>............................] - ETA: 1:35 - loss: 162.9095 - logits_profile_predictions_loss: 161.9791 - logcount_predictions_loss: 0.1723 69/697 [=>............................] - ETA: 1:35 - loss: 162.9199 - logits_profile_predictions_loss: 161.9886 - logcount_predictions_loss: 0.1725 70/697 [==>...........................] - ETA: 1:34 - loss: 162.9328 - logits_profile_predictions_loss: 162.0008 - logcount_predictions_loss: 0.1726 71/697 [==>...........................] - ETA: 1:34 - loss: 162.9439 - logits_profile_predictions_loss: 162.0112 - logcount_predictions_loss: 0.1727 72/697 [==>...........................] - ETA: 1:34 - loss: 162.9524 - logits_profile_predictions_loss: 162.0190 - logcount_predictions_loss: 0.1729 73/697 [==>...........................] - ETA: 1:34 - loss: 162.9571 - logits_profile_predictions_loss: 162.0228 - logcount_predictions_loss: 0.1730 74/697 [==>...........................] - ETA: 1:34 - loss: 162.9590 - logits_profile_predictions_loss: 162.0239 - logcount_predictions_loss: 0.1732 75/697 [==>...........................] - ETA: 1:34 - loss: 162.9627 - logits_profile_predictions_loss: 162.0269 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[============================>.] - ETA: 1s - loss: 163.2017 - logits_profile_predictions_loss: 162.2643 - logcount_predictions_loss: 0.1736 688/697 [============================>.] - ETA: 1s - loss: 163.2018 - logits_profile_predictions_loss: 162.2645 - logcount_predictions_loss: 0.1736 689/697 [============================>.] - ETA: 1s - loss: 163.2020 - logits_profile_predictions_loss: 162.2647 - logcount_predictions_loss: 0.1736 690/697 [============================>.] - ETA: 1s - loss: 163.2022 - logits_profile_predictions_loss: 162.2649 - logcount_predictions_loss: 0.1736 691/697 [============================>.] - ETA: 0s - loss: 163.2023 - logits_profile_predictions_loss: 162.2650 - logcount_predictions_loss: 0.1736 692/697 [============================>.] - ETA: 0s - loss: 163.2025 - logits_profile_predictions_loss: 162.2652 - logcount_predictions_loss: 0.1736 693/697 [============================>.] - ETA: 0s - loss: 163.2027 - logits_profile_predictions_loss: 162.2654 - logcount_predictions_loss: 0.1736 694/697 [============================>.] - ETA: 0s - loss: 163.2029 - logits_profile_predictions_loss: 162.2656 - logcount_predictions_loss: 0.1736 695/697 [============================>.] - ETA: 0s - loss: 163.2031 - logits_profile_predictions_loss: 162.2658 - logcount_predictions_loss: 0.1736 696/697 [============================>.] - ETA: 0s - loss: 163.2032 - logits_profile_predictions_loss: 162.2660 - logcount_predictions_loss: 0.1736 697/697 [==============================] - ETA: 0s - loss: 163.2034 - logits_profile_predictions_loss: 162.2663 - logcount_predictions_loss: 0.1736 697/697 [==============================] - 111s 160ms/step - loss: 163.2036 - logits_profile_predictions_loss: 162.2665 - logcount_predictions_loss: 0.1736 - val_loss: 170.6388 - val_logits_profile_predictions_loss: 169.6517 - val_logcount_predictions_loss: 0.1828 + +Epoch 00010: val_loss did not improve from 169.98253 +Epoch 11/50 + 1/697 [..............................] 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8/697 [..............................] - ETA: 1:45 - loss: 162.0501 - logits_profile_predictions_loss: 161.1462 - logcount_predictions_loss: 0.1674 9/697 [..............................] - ETA: 1:44 - loss: 161.9280 - logits_profile_predictions_loss: 161.0298 - logcount_predictions_loss: 0.1663 10/697 [..............................] - ETA: 1:45 - loss: 161.7659 - logits_profile_predictions_loss: 160.8724 - logcount_predictions_loss: 0.1655 11/697 [..............................] - ETA: 1:45 - loss: 161.5757 - logits_profile_predictions_loss: 160.6855 - logcount_predictions_loss: 0.1648 12/697 [..............................] - ETA: 1:45 - loss: 161.4858 - logits_profile_predictions_loss: 160.5997 - logcount_predictions_loss: 0.1641 13/697 [..............................] - ETA: 1:44 - loss: 161.3582 - logits_profile_predictions_loss: 160.4763 - logcount_predictions_loss: 0.1633 14/697 [..............................] - ETA: 1:44 - loss: 161.2965 - logits_profile_predictions_loss: 160.4171 - logcount_predictions_loss: 0.1629 15/697 [..............................] - ETA: 1:44 - loss: 161.2305 - logits_profile_predictions_loss: 160.3543 - logcount_predictions_loss: 0.1623 16/697 [..............................] - ETA: 1:44 - loss: 161.1203 - logits_profile_predictions_loss: 160.2468 - logcount_predictions_loss: 0.1617 17/697 [..............................] - ETA: 1:43 - loss: 161.0224 - logits_profile_predictions_loss: 160.1512 - logcount_predictions_loss: 0.1613 18/697 [..............................] - ETA: 1:42 - loss: 160.9118 - logits_profile_predictions_loss: 160.0433 - logcount_predictions_loss: 0.1608 19/697 [..............................] - ETA: 1:41 - loss: 160.8079 - logits_profile_predictions_loss: 159.9422 - logcount_predictions_loss: 0.1603 20/697 [..............................] - ETA: 1:41 - loss: 160.7107 - logits_profile_predictions_loss: 159.8478 - logcount_predictions_loss: 0.1598 21/697 [..............................] - ETA: 1:41 - loss: 160.6724 - logits_profile_predictions_loss: 159.8110 - logcount_predictions_loss: 0.1595 22/697 [..............................] - ETA: 1:41 - loss: 160.6585 - logits_profile_predictions_loss: 159.7988 - logcount_predictions_loss: 0.1592 23/697 [..............................] - ETA: 1:41 - loss: 160.6543 - logits_profile_predictions_loss: 159.7961 - logcount_predictions_loss: 0.1589 24/697 [>.............................] - ETA: 1:41 - loss: 160.6444 - logits_profile_predictions_loss: 159.7872 - logcount_predictions_loss: 0.1588 25/697 [>.............................] - ETA: 1:41 - loss: 160.6438 - logits_profile_predictions_loss: 159.7874 - logcount_predictions_loss: 0.1586 26/697 [>.............................] - ETA: 1:41 - loss: 160.6558 - logits_profile_predictions_loss: 159.7994 - logcount_predictions_loss: 0.1586 27/697 [>.............................] - ETA: 1:40 - loss: 160.6602 - logits_profile_predictions_loss: 159.8041 - logcount_predictions_loss: 0.1585 28/697 [>.............................] - ETA: 1:40 - loss: 160.6677 - logits_profile_predictions_loss: 159.8118 - logcount_predictions_loss: 0.1585 29/697 [>.............................] - ETA: 1:40 - loss: 160.6652 - logits_profile_predictions_loss: 159.8098 - logcount_predictions_loss: 0.1584 30/697 [>.............................] - ETA: 1:40 - loss: 160.6697 - logits_profile_predictions_loss: 159.8145 - logcount_predictions_loss: 0.1584 31/697 [>.............................] - ETA: 1:40 - loss: 160.6741 - logits_profile_predictions_loss: 159.8192 - logcount_predictions_loss: 0.1583 32/697 [>.............................] - ETA: 1:40 - loss: 160.6728 - logits_profile_predictions_loss: 159.8183 - logcount_predictions_loss: 0.1582 33/697 [>.............................] - ETA: 1:40 - loss: 160.6717 - logits_profile_predictions_loss: 159.8175 - logcount_predictions_loss: 0.1582 34/697 [>.............................] - ETA: 1:39 - loss: 160.6775 - logits_profile_predictions_loss: 159.8235 - logcount_predictions_loss: 0.1582 35/697 [>.............................] - ETA: 1:39 - loss: 160.6783 - logits_profile_predictions_loss: 159.8244 - logcount_predictions_loss: 0.1581 36/697 [>.............................] - ETA: 1:39 - loss: 160.6812 - logits_profile_predictions_loss: 159.8275 - logcount_predictions_loss: 0.1581 37/697 [>.............................] - ETA: 1:39 - loss: 160.6849 - logits_profile_predictions_loss: 159.8312 - logcount_predictions_loss: 0.1581 38/697 [>.............................] - ETA: 1:39 - loss: 160.6901 - logits_profile_predictions_loss: 159.8365 - logcount_predictions_loss: 0.1581 39/697 [>.............................] - ETA: 1:39 - loss: 160.7003 - logits_profile_predictions_loss: 159.8468 - logcount_predictions_loss: 0.1581 40/697 [>.............................] - ETA: 1:39 - loss: 160.7089 - logits_profile_predictions_loss: 159.8556 - logcount_predictions_loss: 0.1580 41/697 [>.............................] - ETA: 1:38 - loss: 160.7106 - logits_profile_predictions_loss: 159.8577 - logcount_predictions_loss: 0.1579 42/697 [>.............................] - ETA: 1:38 - loss: 160.7165 - logits_profile_predictions_loss: 159.8640 - logcount_predictions_loss: 0.1579 43/697 [>.............................] - ETA: 1:38 - loss: 160.7231 - logits_profile_predictions_loss: 159.8710 - logcount_predictions_loss: 0.1578 44/697 [>.............................] - ETA: 1:38 - loss: 160.7187 - logits_profile_predictions_loss: 159.8670 - logcount_predictions_loss: 0.1577 45/697 [>.............................] - ETA: 1:38 - loss: 160.7180 - logits_profile_predictions_loss: 159.8665 - logcount_predictions_loss: 0.1577 46/697 [>.............................] - ETA: 1:38 - loss: 160.7200 - logits_profile_predictions_loss: 159.8685 - logcount_predictions_loss: 0.1577 47/697 [=>............................] - ETA: 1:38 - loss: 160.7242 - logits_profile_predictions_loss: 159.8727 - logcount_predictions_loss: 0.1577 48/697 [=>............................] - ETA: 1:37 - loss: 160.7260 - logits_profile_predictions_loss: 159.8745 - logcount_predictions_loss: 0.1577 49/697 [=>............................] - ETA: 1:37 - loss: 160.7298 - logits_profile_predictions_loss: 159.8783 - logcount_predictions_loss: 0.1577 50/697 [=>............................] - ETA: 1:37 - loss: 160.7349 - logits_profile_predictions_loss: 159.8834 - logcount_predictions_loss: 0.1577 51/697 [=>............................] - ETA: 1:37 - loss: 160.7339 - logits_profile_predictions_loss: 159.8824 - logcount_predictions_loss: 0.1577 52/697 [=>............................] - ETA: 1:37 - loss: 160.7348 - logits_profile_predictions_loss: 159.8831 - logcount_predictions_loss: 0.1577 53/697 [=>............................] - ETA: 1:37 - loss: 160.7351 - logits_profile_predictions_loss: 159.8834 - logcount_predictions_loss: 0.1577 54/697 [=>............................] - ETA: 1:37 - loss: 160.7322 - logits_profile_predictions_loss: 159.8803 - logcount_predictions_loss: 0.1578 55/697 [=>............................] - ETA: 1:36 - loss: 160.7320 - logits_profile_predictions_loss: 159.8800 - logcount_predictions_loss: 0.1578 56/697 [=>............................] - ETA: 1:36 - loss: 160.7331 - logits_profile_predictions_loss: 159.8811 - logcount_predictions_loss: 0.1578 57/697 [=>............................] - ETA: 1:36 - loss: 160.7341 - logits_profile_predictions_loss: 159.8821 - logcount_predictions_loss: 0.1578 58/697 [=>............................] - ETA: 1:36 - loss: 160.7320 - logits_profile_predictions_loss: 159.8800 - logcount_predictions_loss: 0.1578 59/697 [=>............................] - ETA: 1:36 - loss: 160.7352 - logits_profile_predictions_loss: 159.8832 - logcount_predictions_loss: 0.1578 60/697 [=>............................] - ETA: 1:36 - loss: 160.7394 - logits_profile_predictions_loss: 159.8875 - logcount_predictions_loss: 0.1578 61/697 [=>............................] - ETA: 1:36 - loss: 160.7417 - logits_profile_predictions_loss: 159.8898 - logcount_predictions_loss: 0.1578 62/697 [=>............................] - ETA: 1:35 - loss: 160.7458 - logits_profile_predictions_loss: 159.8939 - logcount_predictions_loss: 0.1578 63/697 [=>............................] - ETA: 1:35 - loss: 160.7472 - logits_profile_predictions_loss: 159.8952 - logcount_predictions_loss: 0.1578 64/697 [=>............................] - ETA: 1:35 - loss: 160.7481 - logits_profile_predictions_loss: 159.8961 - logcount_predictions_loss: 0.1578 65/697 [=>............................] - ETA: 1:35 - loss: 160.7488 - logits_profile_predictions_loss: 159.8968 - logcount_predictions_loss: 0.1578 66/697 [=>............................] - ETA: 1:35 - loss: 160.7537 - logits_profile_predictions_loss: 159.9017 - logcount_predictions_loss: 0.1578 67/697 [=>............................] - ETA: 1:35 - loss: 160.7594 - logits_profile_predictions_loss: 159.9075 - logcount_predictions_loss: 0.1578 68/697 [=>............................] - ETA: 1:35 - loss: 160.7625 - logits_profile_predictions_loss: 159.9106 - logcount_predictions_loss: 0.1578 69/697 [=>............................] - ETA: 1:34 - loss: 160.7641 - logits_profile_predictions_loss: 159.9123 - logcount_predictions_loss: 0.1577 70/697 [==>...........................] - ETA: 1:34 - loss: 160.7667 - logits_profile_predictions_loss: 159.9149 - logcount_predictions_loss: 0.1577 71/697 [==>...........................] - ETA: 1:34 - loss: 160.7679 - logits_profile_predictions_loss: 159.9161 - logcount_predictions_loss: 0.1577 72/697 [==>...........................] - ETA: 1:34 - loss: 160.7700 - logits_profile_predictions_loss: 159.9184 - logcount_predictions_loss: 0.1577 73/697 [==>...........................] - ETA: 1:34 - loss: 160.7733 - logits_profile_predictions_loss: 159.9218 - logcount_predictions_loss: 0.1577 74/697 [==>...........................] - ETA: 1:34 - loss: 160.7742 - logits_profile_predictions_loss: 159.9228 - logcount_predictions_loss: 0.1577 75/697 [==>...........................] - ETA: 1:33 - loss: 160.7760 - logits_profile_predictions_loss: 159.9247 - logcount_predictions_loss: 0.1576 76/697 [==>...........................] - ETA: 1:33 - loss: 160.7805 - logits_profile_predictions_loss: 159.9293 - logcount_predictions_loss: 0.1576 77/697 [==>...........................] - ETA: 1:33 - loss: 160.7840 - logits_profile_predictions_loss: 159.9328 - logcount_predictions_loss: 0.1576 78/697 [==>...........................] - ETA: 1:33 - loss: 160.7873 - logits_profile_predictions_loss: 159.9361 - logcount_predictions_loss: 0.1576 79/697 [==>...........................] - ETA: 1:33 - loss: 160.7906 - logits_profile_predictions_loss: 159.9394 - logcount_predictions_loss: 0.1576 80/697 [==>...........................] - ETA: 1:33 - loss: 160.7946 - logits_profile_predictions_loss: 159.9435 - logcount_predictions_loss: 0.1576 81/697 [==>...........................] - ETA: 1:33 - loss: 160.7994 - logits_profile_predictions_loss: 159.9483 - logcount_predictions_loss: 0.1576 82/697 [==>...........................] - ETA: 1:32 - loss: 160.8053 - logits_profile_predictions_loss: 159.9543 - logcount_predictions_loss: 0.1576 83/697 [==>...........................] - ETA: 1:32 - loss: 160.8101 - logits_profile_predictions_loss: 159.9591 - logcount_predictions_loss: 0.1576 84/697 [==>...........................] - ETA: 1:32 - loss: 160.8138 - logits_profile_predictions_loss: 159.9628 - logcount_predictions_loss: 0.1576 85/697 [==>...........................] - ETA: 1:32 - loss: 160.8187 - logits_profile_predictions_loss: 159.9678 - logcount_predictions_loss: 0.1576 86/697 [==>...........................] - ETA: 1:32 - loss: 160.8210 - logits_profile_predictions_loss: 159.9702 - logcount_predictions_loss: 0.1576 87/697 [==>...........................] - ETA: 1:32 - loss: 160.8216 - logits_profile_predictions_loss: 159.9708 - logcount_predictions_loss: 0.1576 88/697 [==>...........................] - ETA: 1:32 - loss: 160.8223 - logits_profile_predictions_loss: 159.9715 - logcount_predictions_loss: 0.1575 89/697 [==>...........................] - ETA: 1:31 - loss: 160.8262 - logits_profile_predictions_loss: 159.9755 - logcount_predictions_loss: 0.1575 90/697 [==>...........................] - ETA: 1:31 - loss: 160.8301 - logits_profile_predictions_loss: 159.9794 - logcount_predictions_loss: 0.1575 91/697 [==>...........................] - ETA: 1:31 - loss: 160.8335 - logits_profile_predictions_loss: 159.9829 - logcount_predictions_loss: 0.1575 92/697 [==>...........................] - ETA: 1:31 - loss: 160.8387 - logits_profile_predictions_loss: 159.9882 - logcount_predictions_loss: 0.1575 93/697 [===>..........................] - ETA: 1:31 - loss: 160.8452 - logits_profile_predictions_loss: 159.9947 - logcount_predictions_loss: 0.1575 94/697 [===>..........................] - ETA: 1:31 - loss: 160.8519 - logits_profile_predictions_loss: 160.0015 - logcount_predictions_loss: 0.1575 95/697 [===>..........................] - ETA: 1:30 - loss: 160.8579 - logits_profile_predictions_loss: 160.0076 - logcount_predictions_loss: 0.1575 96/697 [===>..........................] - ETA: 1:30 - loss: 160.8654 - logits_profile_predictions_loss: 160.0152 - logcount_predictions_loss: 0.1575 97/697 [===>..........................] - ETA: 1:30 - loss: 160.8732 - logits_profile_predictions_loss: 160.0230 - logcount_predictions_loss: 0.1574 98/697 [===>..........................] - ETA: 1:30 - loss: 160.8804 - logits_profile_predictions_loss: 160.0303 - logcount_predictions_loss: 0.1574 99/697 [===>..........................] - ETA: 1:30 - loss: 160.8886 - logits_profile_predictions_loss: 160.0385 - logcount_predictions_loss: 0.1574 100/697 [===>..........................] - ETA: 1:30 - loss: 160.8964 - logits_profile_predictions_loss: 160.0463 - logcount_predictions_loss: 0.1574 101/697 [===>..........................] - ETA: 1:30 - loss: 160.9036 - logits_profile_predictions_loss: 160.0537 - logcount_predictions_loss: 0.1574 102/697 [===>..........................] - ETA: 1:29 - loss: 160.9108 - logits_profile_predictions_loss: 160.0609 - logcount_predictions_loss: 0.1574 103/697 [===>..........................] - ETA: 1:29 - loss: 160.9197 - logits_profile_predictions_loss: 160.0699 - logcount_predictions_loss: 0.1574 104/697 [===>..........................] - ETA: 1:29 - loss: 160.9271 - logits_profile_predictions_loss: 160.0773 - logcount_predictions_loss: 0.1574 105/697 [===>..........................] - ETA: 1:29 - loss: 160.9332 - logits_profile_predictions_loss: 160.0835 - logcount_predictions_loss: 0.1574 106/697 [===>..........................] - ETA: 1:29 - loss: 160.9393 - logits_profile_predictions_loss: 160.0896 - logcount_predictions_loss: 0.1573 107/697 [===>..........................] - ETA: 1:29 - loss: 160.9466 - logits_profile_predictions_loss: 160.0971 - logcount_predictions_loss: 0.1573 108/697 [===>..........................] - ETA: 1:29 - loss: 160.9547 - logits_profile_predictions_loss: 160.1053 - logcount_predictions_loss: 0.1573 109/697 [===>..........................] - ETA: 1:28 - loss: 160.9638 - logits_profile_predictions_loss: 160.1145 - logcount_predictions_loss: 0.1573 110/697 [===>..........................] - ETA: 1:28 - loss: 160.9730 - logits_profile_predictions_loss: 160.1238 - logcount_predictions_loss: 0.1573 111/697 [===>..........................] - ETA: 1:28 - loss: 160.9810 - logits_profile_predictions_loss: 160.1320 - logcount_predictions_loss: 0.1572 112/697 [===>..........................] - ETA: 1:28 - loss: 160.9888 - logits_profile_predictions_loss: 160.1399 - logcount_predictions_loss: 0.1572 113/697 [===>..........................] - ETA: 1:28 - loss: 160.9975 - logits_profile_predictions_loss: 160.1487 - logcount_predictions_loss: 0.1572 114/697 [===>..........................] - ETA: 1:28 - loss: 161.0074 - logits_profile_predictions_loss: 160.1588 - logcount_predictions_loss: 0.1571 115/697 [===>..........................] - ETA: 1:28 - loss: 161.0175 - logits_profile_predictions_loss: 160.1691 - logcount_predictions_loss: 0.1571 116/697 [===>..........................] - ETA: 1:27 - loss: 161.0276 - logits_profile_predictions_loss: 160.1793 - logcount_predictions_loss: 0.1571 117/697 [====>.........................] - ETA: 1:27 - loss: 161.0380 - logits_profile_predictions_loss: 160.1897 - logcount_predictions_loss: 0.1571 118/697 [====>.........................] - ETA: 1:27 - loss: 161.0473 - logits_profile_predictions_loss: 160.1991 - logcount_predictions_loss: 0.1571 119/697 [====>.........................] - ETA: 1:27 - loss: 161.0567 - logits_profile_predictions_loss: 160.2086 - logcount_predictions_loss: 0.1570 120/697 [====>.........................] - ETA: 1:27 - loss: 161.0664 - logits_profile_predictions_loss: 160.2184 - logcount_predictions_loss: 0.1570 121/697 [====>.........................] - ETA: 1:27 - 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[=========================>....] - ETA: 11s - loss: 158.8242 - logits_profile_predictions_loss: 158.0158 - logcount_predictions_loss: 0.1497 625/697 [=========================>....] - ETA: 10s - loss: 158.8245 - logits_profile_predictions_loss: 158.0162 - logcount_predictions_loss: 0.1497 626/697 [=========================>....] - ETA: 10s - loss: 158.8249 - logits_profile_predictions_loss: 158.0165 - logcount_predictions_loss: 0.1497 627/697 [=========================>....] - ETA: 10s - loss: 158.8252 - logits_profile_predictions_loss: 158.0169 - logcount_predictions_loss: 0.1497 628/697 [==========================>...] - ETA: 10s - loss: 158.8256 - logits_profile_predictions_loss: 158.0172 - logcount_predictions_loss: 0.1497 629/697 [==========================>...] - ETA: 10s - loss: 158.8259 - logits_profile_predictions_loss: 158.0176 - logcount_predictions_loss: 0.1497 630/697 [==========================>...] - ETA: 10s - loss: 158.8262 - logits_profile_predictions_loss: 158.0179 - logcount_predictions_loss: 0.1497 631/697 [==========================>...] - ETA: 9s - loss: 158.8266 - logits_profile_predictions_loss: 158.0182 - logcount_predictions_loss: 0.1497  632/697 [==========================>...] - ETA: 9s - loss: 158.8269 - logits_profile_predictions_loss: 158.0186 - logcount_predictions_loss: 0.1497 633/697 [==========================>...] - ETA: 9s - loss: 158.8273 - logits_profile_predictions_loss: 158.0189 - logcount_predictions_loss: 0.1497 634/697 [==========================>...] - ETA: 9s - loss: 158.8276 - logits_profile_predictions_loss: 158.0193 - logcount_predictions_loss: 0.1497 635/697 [==========================>...] - ETA: 9s - loss: 158.8280 - logits_profile_predictions_loss: 158.0196 - logcount_predictions_loss: 0.1497 636/697 [==========================>...] - ETA: 9s - loss: 158.8283 - logits_profile_predictions_loss: 158.0200 - logcount_predictions_loss: 0.1497 637/697 [==========================>...] - ETA: 9s - loss: 158.8286 - logits_profile_predictions_loss: 158.0203 - logcount_predictions_loss: 0.1497 638/697 [==========================>...] - ETA: 8s - loss: 158.8289 - logits_profile_predictions_loss: 158.0206 - logcount_predictions_loss: 0.1497 639/697 [==========================>...] - ETA: 8s - loss: 158.8293 - logits_profile_predictions_loss: 158.0209 - logcount_predictions_loss: 0.1497 640/697 [==========================>...] - ETA: 8s - loss: 158.8296 - logits_profile_predictions_loss: 158.0213 - logcount_predictions_loss: 0.1497 641/697 [==========================>...] - ETA: 8s - loss: 158.8299 - logits_profile_predictions_loss: 158.0216 - logcount_predictions_loss: 0.1497 642/697 [==========================>...] - ETA: 8s - loss: 158.8303 - logits_profile_predictions_loss: 158.0219 - logcount_predictions_loss: 0.1497 643/697 [==========================>...] - ETA: 8s - loss: 158.8306 - logits_profile_predictions_loss: 158.0223 - logcount_predictions_loss: 0.1497 644/697 [==========================>...] - ETA: 8s - loss: 158.8309 - logits_profile_predictions_loss: 158.0226 - logcount_predictions_loss: 0.1497 645/697 [==========================>...] - ETA: 7s - loss: 158.8312 - logits_profile_predictions_loss: 158.0228 - logcount_predictions_loss: 0.1497 646/697 [==========================>...] - ETA: 7s - loss: 158.8314 - logits_profile_predictions_loss: 158.0231 - logcount_predictions_loss: 0.1497 647/697 [==========================>...] - ETA: 7s - loss: 158.8316 - logits_profile_predictions_loss: 158.0233 - logcount_predictions_loss: 0.1497 648/697 [==========================>...] - ETA: 7s - loss: 158.8319 - logits_profile_predictions_loss: 158.0236 - logcount_predictions_loss: 0.1497 649/697 [==========================>...] - ETA: 7s - loss: 158.8322 - logits_profile_predictions_loss: 158.0239 - logcount_predictions_loss: 0.1497 650/697 [==========================>...] - ETA: 7s - loss: 158.8325 - logits_profile_predictions_loss: 158.0242 - logcount_predictions_loss: 0.1497 651/697 [===========================>..] - ETA: 6s - loss: 158.8328 - logits_profile_predictions_loss: 158.0245 - logcount_predictions_loss: 0.1497 652/697 [===========================>..] - ETA: 6s - loss: 158.8331 - logits_profile_predictions_loss: 158.0247 - logcount_predictions_loss: 0.1497 653/697 [===========================>..] - ETA: 6s - loss: 158.8333 - logits_profile_predictions_loss: 158.0250 - logcount_predictions_loss: 0.1497 654/697 [===========================>..] - ETA: 6s - loss: 158.8336 - logits_profile_predictions_loss: 158.0253 - logcount_predictions_loss: 0.1497 655/697 [===========================>..] - ETA: 6s - loss: 158.8339 - logits_profile_predictions_loss: 158.0256 - logcount_predictions_loss: 0.1497 656/697 [===========================>..] - ETA: 6s - loss: 158.8342 - logits_profile_predictions_loss: 158.0259 - logcount_predictions_loss: 0.1497 657/697 [===========================>..] - ETA: 6s - loss: 158.8346 - logits_profile_predictions_loss: 158.0263 - logcount_predictions_loss: 0.1497 658/697 [===========================>..] - ETA: 5s - loss: 158.8349 - logits_profile_predictions_loss: 158.0266 - logcount_predictions_loss: 0.1497 659/697 [===========================>..] - ETA: 5s - loss: 158.8352 - logits_profile_predictions_loss: 158.0269 - logcount_predictions_loss: 0.1497 660/697 [===========================>..] - ETA: 5s - loss: 158.8355 - logits_profile_predictions_loss: 158.0272 - logcount_predictions_loss: 0.1497 661/697 [===========================>..] - ETA: 5s - loss: 158.8359 - logits_profile_predictions_loss: 158.0276 - logcount_predictions_loss: 0.1497 662/697 [===========================>..] - ETA: 5s - loss: 158.8362 - logits_profile_predictions_loss: 158.0279 - logcount_predictions_loss: 0.1497 663/697 [===========================>..] - ETA: 5s - loss: 158.8366 - logits_profile_predictions_loss: 158.0283 - logcount_predictions_loss: 0.1497 664/697 [===========================>..] - ETA: 4s - loss: 158.8369 - logits_profile_predictions_loss: 158.0286 - logcount_predictions_loss: 0.1497 665/697 [===========================>..] - ETA: 4s - loss: 158.8372 - logits_profile_predictions_loss: 158.0290 - logcount_predictions_loss: 0.1497 666/697 [===========================>..] - ETA: 4s - loss: 158.8376 - logits_profile_predictions_loss: 158.0293 - logcount_predictions_loss: 0.1497 667/697 [===========================>..] - ETA: 4s - loss: 158.8379 - logits_profile_predictions_loss: 158.0296 - logcount_predictions_loss: 0.1497 668/697 [===========================>..] - ETA: 4s - loss: 158.8382 - logits_profile_predictions_loss: 158.0300 - logcount_predictions_loss: 0.1497 669/697 [===========================>..] - ETA: 4s - loss: 158.8385 - logits_profile_predictions_loss: 158.0302 - logcount_predictions_loss: 0.1497 670/697 [===========================>..] - ETA: 4s - loss: 158.8389 - logits_profile_predictions_loss: 158.0306 - logcount_predictions_loss: 0.1497 671/697 [===========================>..] - ETA: 3s - loss: 158.8392 - logits_profile_predictions_loss: 158.0309 - logcount_predictions_loss: 0.1497 672/697 [===========================>..] - ETA: 3s - loss: 158.8395 - logits_profile_predictions_loss: 158.0312 - logcount_predictions_loss: 0.1497 673/697 [===========================>..] - ETA: 3s - loss: 158.8398 - logits_profile_predictions_loss: 158.0315 - logcount_predictions_loss: 0.1497 674/697 [============================>.] - ETA: 3s - loss: 158.8401 - logits_profile_predictions_loss: 158.0318 - logcount_predictions_loss: 0.1497 675/697 [============================>.] - ETA: 3s - loss: 158.8404 - logits_profile_predictions_loss: 158.0321 - logcount_predictions_loss: 0.1497 676/697 [============================>.] - ETA: 3s - loss: 158.8407 - logits_profile_predictions_loss: 158.0324 - logcount_predictions_loss: 0.1497 677/697 [============================>.] - ETA: 3s - loss: 158.8410 - logits_profile_predictions_loss: 158.0327 - logcount_predictions_loss: 0.1497 678/697 [============================>.] - ETA: 2s - loss: 158.8412 - logits_profile_predictions_loss: 158.0330 - logcount_predictions_loss: 0.1497 679/697 [============================>.] - ETA: 2s - loss: 158.8415 - logits_profile_predictions_loss: 158.0332 - logcount_predictions_loss: 0.1497 680/697 [============================>.] - ETA: 2s - loss: 158.8417 - logits_profile_predictions_loss: 158.0335 - logcount_predictions_loss: 0.1497 681/697 [============================>.] - ETA: 2s - loss: 158.8420 - logits_profile_predictions_loss: 158.0338 - logcount_predictions_loss: 0.1497 682/697 [============================>.] - ETA: 2s - loss: 158.8423 - logits_profile_predictions_loss: 158.0340 - logcount_predictions_loss: 0.1497 683/697 [============================>.] - ETA: 2s - loss: 158.8426 - logits_profile_predictions_loss: 158.0343 - logcount_predictions_loss: 0.1497 684/697 [============================>.] - ETA: 1s - loss: 158.8429 - logits_profile_predictions_loss: 158.0346 - logcount_predictions_loss: 0.1497 685/697 [============================>.] - ETA: 1s - loss: 158.8432 - logits_profile_predictions_loss: 158.0349 - logcount_predictions_loss: 0.1497 686/697 [============================>.] - ETA: 1s - loss: 158.8435 - logits_profile_predictions_loss: 158.0352 - logcount_predictions_loss: 0.1497 687/697 [============================>.] - ETA: 1s - loss: 158.8438 - logits_profile_predictions_loss: 158.0356 - logcount_predictions_loss: 0.1497 688/697 [============================>.] - ETA: 1s - loss: 158.8441 - logits_profile_predictions_loss: 158.0359 - logcount_predictions_loss: 0.1497 689/697 [============================>.] - ETA: 1s - loss: 158.8445 - logits_profile_predictions_loss: 158.0362 - logcount_predictions_loss: 0.1497 690/697 [============================>.] - ETA: 1s - loss: 158.8448 - logits_profile_predictions_loss: 158.0366 - logcount_predictions_loss: 0.1497 691/697 [============================>.] - ETA: 0s - loss: 158.8452 - logits_profile_predictions_loss: 158.0369 - logcount_predictions_loss: 0.1497 692/697 [============================>.] - ETA: 0s - loss: 158.8455 - logits_profile_predictions_loss: 158.0373 - logcount_predictions_loss: 0.1497 693/697 [============================>.] - ETA: 0s - loss: 158.8459 - logits_profile_predictions_loss: 158.0377 - logcount_predictions_loss: 0.1497 694/697 [============================>.] - ETA: 0s - loss: 158.8463 - logits_profile_predictions_loss: 158.0381 - logcount_predictions_loss: 0.1497 695/697 [============================>.] - ETA: 0s - loss: 158.8467 - logits_profile_predictions_loss: 158.0385 - logcount_predictions_loss: 0.1497 696/697 [============================>.] - ETA: 0s - loss: 158.8471 - logits_profile_predictions_loss: 158.0388 - logcount_predictions_loss: 0.1497 697/697 [==============================] - ETA: 0s - loss: 158.8474 - logits_profile_predictions_loss: 158.0392 - logcount_predictions_loss: 0.1497 697/697 [==============================] - 110s 158ms/step - loss: 158.8478 - logits_profile_predictions_loss: 158.0396 - logcount_predictions_loss: 0.1497 - val_loss: 172.3159 - val_logits_profile_predictions_loss: 171.4539 - val_logcount_predictions_loss: 0.1596 + +Epoch 00013: val_loss did not improve from 169.98253 +Restoring model weights from the end of the best epoch. +Epoch 00013: early stopping +save model +save model without bias +2022-09-22_23-33-59: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(11541, 10) +loading nonpeaks... +got split:test for bed regions:(11124, 10) +0/89 +2022-09-22_23-35-16: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(11541, 10) +loading nonpeaks... +got split:test for bed regions:(11124, 10) +0/89 +2022-09-22_23-36-28: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_3//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(11541, 10) +loading nonpeaks... +got split:test for bed regions:(11124, 10) +0/89 +2022-09-22_23-37-17: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_23-37-17: 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/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:04 3/11 [=======>......................] - ETA: 2s  4/11 [=========>....................] - ETA: 3s 5/11 [============>.................] - ETA: 2s 6/11 [===============>..............] - ETA: 2s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 16s 965ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 684ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +Saving marginal footprints +2022-09-22_23-38-46: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_23-38-46: 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/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 29s 3/11 [=======>......................] - ETA: 0s  4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 4s 84ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +Saving marginal footprints diff --git a/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stdout_v1.txt b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7035e361a049d620e8570838a65df0f1712cb21 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR609GST/logfile.modelling.fold_3.ENCSR609GST.stdout_v1.txt @@ -0,0 +1,451 @@ +2022-09-22_23-05-52: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 45132 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 45132 +Number of peaks input: 11541 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 11541 +Number of non peaks input: 45548 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 45548 +Number of non peaks input: 11124 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 11124 +Number of peaks after removing outliers: 44634 +Number of nonpeaks after removing outliers: 39608 +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 + 1/1238 [..............................] - ETA: 4:36:54 11/1238 [..............................] - ETA: 6s  21/1238 [..............................] - ETA: 6s 31/1238 [..............................] - ETA: 6s 41/1238 [..............................] - ETA: 6s 51/1238 [>.............................] - ETA: 6s 62/1238 [>.............................] - ETA: 6s 73/1238 [>.............................] - ETA: 6s 84/1238 [=>............................] - ETA: 5s 95/1238 [=>............................] - ETA: 5s 106/1238 [=>............................] - ETA: 5s 117/1238 [=>............................] - ETA: 5s 128/1238 [==>...........................] - ETA: 5s 139/1238 [==>...........................] - ETA: 5s 150/1238 [==>...........................] - ETA: 5s 161/1238 [==>...........................] - ETA: 5s 172/1238 [===>..........................] - ETA: 5s 183/1238 [===>..........................] - ETA: 5s 194/1238 [===>..........................] - ETA: 5s 205/1238 [===>..........................] - ETA: 5s 216/1238 [====>.........................] - ETA: 5s 227/1238 [====>.........................] - ETA: 5s 238/1238 [====>.........................] - ETA: 4s 249/1238 [=====>........................] - ETA: 4s 260/1238 [=====>........................] - ETA: 4s 271/1238 [=====>........................] - ETA: 4s 282/1238 [=====>........................] - ETA: 4s 293/1238 [======>.......................] - ETA: 4s 304/1238 [======>.......................] - ETA: 4s 315/1238 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1151/1238 [==========================>...] - ETA: 0s 1162/1238 [===========================>..] - ETA: 0s 1173/1238 [===========================>..] - ETA: 0s 1184/1238 [===========================>..] - ETA: 0s 1195/1238 [===========================>..] - ETA: 0s 1206/1238 [============================>.] - ETA: 0s 1217/1238 [============================>.] - ETA: 0s 1228/1238 [============================>.] - ETA: 0s 1238/1238 [==============================] - ETA: 0s 1238/1238 [==============================] - 20s 5ms/step +2022-09-22_23-07-46: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.4', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(40535, 10) +loading nonpeaks... +got split:train for bed regions:(36322, 10) +loading peaks... +got split:valid for bed regions:(4099, 10) +loading nonpeaks... +got split:valid for bed regions:(3286, 10) +Epoch 1/50 + 1/697 [..............................] - ETA: 1:38:36 - loss: 170.1719 - logits_profile_predictions_loss: 165.2456 - logcount_predictions_loss: 0.9123 2/697 [..............................] - ETA: 1:46 - loss: 1195.8079 - logits_profile_predictions_loss: 168.2299 - logcount_predictions_loss: 190.2922 3/697 [..............................] - ETA: 1:46 - loss: 1308.2110 - logits_profile_predictions_loss: 167.0043 - logcount_predictions_loss: 211.3346 4/697 [..............................] - ETA: 1:45 - loss: 1278.9550 - logits_profile_predictions_loss: 166.0830 - logcount_predictions_loss: 206.0874 5/697 [..............................] - ETA: 1:45 - loss: 1220.6124 - logits_profile_predictions_loss: 165.6302 - logcount_predictions_loss: 195.3671 6/697 [..............................] - ETA: 1:45 - loss: 1159.5156 - logits_profile_predictions_loss: 165.7842 - logcount_predictions_loss: 184.0243 7/697 [..............................] - ETA: 1:44 - loss: 1101.8040 - logits_profile_predictions_loss: 165.7440 - logcount_predictions_loss: 173.3445 8/697 [..............................] - ETA: 1:44 - loss: 1049.7048 - logits_profile_predictions_loss: 166.0032 - logcount_predictions_loss: 163.6485 9/697 [..............................] - ETA: 1:44 - loss: 1002.8546 - logits_profile_predictions_loss: 166.1862 - logcount_predictions_loss: 154.9386 10/697 [..............................] - ETA: 1:44 - loss: 960.6398 - logits_profile_predictions_loss: 166.1585 - logcount_predictions_loss: 147.1262  11/697 [..............................] - ETA: 1:44 - loss: 922.7054 - logits_profile_predictions_loss: 166.1194 - logcount_predictions_loss: 140.1085 12/697 [..............................] - ETA: 1:43 - loss: 888.6184 - logits_profile_predictions_loss: 166.1806 - logcount_predictions_loss: 133.7848 13/697 [..............................] - ETA: 1:43 - loss: 857.8124 - logits_profile_predictions_loss: 166.2777 - logcount_predictions_loss: 128.0620 14/697 [..............................] - ETA: 1:43 - loss: 829.8055 - logits_profile_predictions_loss: 166.3646 - logcount_predictions_loss: 122.8594 15/697 [..............................] - ETA: 1:43 - loss: 804.3102 - logits_profile_predictions_loss: 166.5057 - logcount_predictions_loss: 118.1120 16/697 [..............................] - ETA: 1:43 - loss: 780.8915 - logits_profile_predictions_loss: 166.5868 - logcount_predictions_loss: 113.7601 17/697 [..............................] - ETA: 1:43 - loss: 759.3288 - logits_profile_predictions_loss: 166.6437 - logcount_predictions_loss: 109.7565 18/697 [..............................] - ETA: 1:42 - loss: 739.3746 - logits_profile_predictions_loss: 166.6533 - logcount_predictions_loss: 106.0595 19/697 [..............................] - ETA: 1:42 - loss: 720.9102 - logits_profile_predictions_loss: 166.6803 - logcount_predictions_loss: 102.6352 20/697 [..............................] - ETA: 1:42 - loss: 703.7583 - logits_profile_predictions_loss: 166.7069 - logcount_predictions_loss: 99.4540  21/697 [..............................] - ETA: 1:42 - loss: 687.7669 - logits_profile_predictions_loss: 166.7218 - logcount_predictions_loss: 96.4898 22/697 [..............................] - ETA: 1:42 - loss: 672.8050 - logits_profile_predictions_loss: 166.7139 - logcount_predictions_loss: 93.7206 23/697 [..............................] - ETA: 1:42 - loss: 658.8308 - logits_profile_predictions_loss: 166.7415 - logcount_predictions_loss: 91.1277 24/697 [>.............................] - ETA: 1:42 - loss: 645.7305 - logits_profile_predictions_loss: 166.7829 - logcount_predictions_loss: 88.6940 25/697 [>.............................] - ETA: 1:41 - loss: 633.4104 - logits_profile_predictions_loss: 166.8251 - logcount_predictions_loss: 86.4047 26/697 [>.............................] - ETA: 1:41 - loss: 621.8116 - logits_profile_predictions_loss: 166.8769 - logcount_predictions_loss: 84.2472 27/697 [>.............................] - ETA: 1:41 - loss: 610.8556 - logits_profile_predictions_loss: 166.9245 - logcount_predictions_loss: 82.2095 28/697 [>.............................] - ETA: 1:41 - loss: 600.4953 - logits_profile_predictions_loss: 166.9740 - logcount_predictions_loss: 80.2817 29/697 [>.............................] - ETA: 1:41 - loss: 590.6754 - logits_profile_predictions_loss: 167.0200 - logcount_predictions_loss: 78.4547 30/697 [>.............................] - ETA: 1:41 - loss: 581.3644 - logits_profile_predictions_loss: 167.0731 - logcount_predictions_loss: 76.7206 31/697 [>.............................] - ETA: 1:40 - loss: 572.5130 - logits_profile_predictions_loss: 167.1235 - logcount_predictions_loss: 75.0721 32/697 [>.............................] - ETA: 1:40 - loss: 564.0778 - logits_profile_predictions_loss: 167.1630 - logcount_predictions_loss: 73.5027 33/697 [>.............................] - ETA: 1:40 - loss: 556.0632 - logits_profile_predictions_loss: 167.2244 - logcount_predictions_loss: 72.0072 34/697 [>.............................] - ETA: 1:40 - loss: 548.4029 - logits_profile_predictions_loss: 167.2732 - logcount_predictions_loss: 70.5796 35/697 [>.............................] - ETA: 1:40 - loss: 541.0731 - logits_profile_predictions_loss: 167.3103 - logcount_predictions_loss: 69.2153 36/697 [>.............................] - ETA: 1:40 - loss: 534.0662 - logits_profile_predictions_loss: 167.3509 - logcount_predictions_loss: 67.9102 37/697 [>.............................] - ETA: 1:40 - loss: 527.3664 - logits_profile_predictions_loss: 167.3994 - logcount_predictions_loss: 66.6606 38/697 [>.............................] - ETA: 1:39 - loss: 520.9431 - logits_profile_predictions_loss: 167.4451 - logcount_predictions_loss: 65.4626 39/697 [>.............................] - ETA: 1:39 - loss: 514.7806 - logits_profile_predictions_loss: 167.4898 - logcount_predictions_loss: 64.3131 40/697 [>.............................] - ETA: 2:08 - loss: 508.8854 - logits_profile_predictions_loss: 167.5364 - logcount_predictions_loss: 63.2128 41/697 [>.............................] - ETA: 2:07 - loss: 503.2102 - logits_profile_predictions_loss: 167.5752 - logcount_predictions_loss: 62.1546 42/697 [>.............................] - ETA: 2:07 - loss: 497.7459 - logits_profile_predictions_loss: 167.6105 - logcount_predictions_loss: 61.1362 43/697 [>.............................] - ETA: 2:06 - loss: 492.4843 - logits_profile_predictions_loss: 167.6458 - logcount_predictions_loss: 60.1553 44/697 [>.............................] - ETA: 2:05 - loss: 487.4162 - logits_profile_predictions_loss: 167.6834 - logcount_predictions_loss: 59.2098 45/697 [>.............................] - ETA: 2:04 - loss: 482.5316 - logits_profile_predictions_loss: 167.7234 - logcount_predictions_loss: 58.2978 46/697 [>.............................] - ETA: 2:03 - loss: 477.8205 - logits_profile_predictions_loss: 167.7658 - logcount_predictions_loss: 57.4175 47/697 [=>............................] - ETA: 2:03 - loss: 473.2785 - logits_profile_predictions_loss: 167.8147 - logcount_predictions_loss: 56.5674 48/697 [=>............................] - ETA: 2:02 - loss: 468.8821 - logits_profile_predictions_loss: 167.8568 - logcount_predictions_loss: 55.7454 49/697 [=>............................] - ETA: 2:01 - loss: 464.6344 - logits_profile_predictions_loss: 167.9016 - logcount_predictions_loss: 54.9505 50/697 [=>............................] - ETA: 2:00 - loss: 460.5252 - logits_profile_predictions_loss: 167.9472 - logcount_predictions_loss: 54.1811 51/697 [=>............................] - ETA: 2:00 - loss: 456.5471 - logits_profile_predictions_loss: 167.9923 - logcount_predictions_loss: 53.4361 52/697 [=>............................] - ETA: 1:59 - loss: 452.6931 - logits_profile_predictions_loss: 168.0369 - logcount_predictions_loss: 52.7141 53/697 [=>............................] - ETA: 1:59 - loss: 448.9599 - logits_profile_predictions_loss: 168.0831 - logcount_predictions_loss: 52.0142 54/697 [=>............................] - ETA: 1:58 - loss: 445.3401 - logits_profile_predictions_loss: 168.1295 - logcount_predictions_loss: 51.3353 55/697 [=>............................] - ETA: 1:57 - loss: 441.8284 - logits_profile_predictions_loss: 168.1759 - logcount_predictions_loss: 50.6764 56/697 [=>............................] - ETA: 1:57 - loss: 438.4236 - logits_profile_predictions_loss: 168.2254 - logcount_predictions_loss: 50.0367 57/697 [=>............................] - ETA: 1:56 - loss: 435.1096 - logits_profile_predictions_loss: 168.2678 - logcount_predictions_loss: 49.4151 58/697 [=>............................] - ETA: 1:56 - loss: 431.8918 - logits_profile_predictions_loss: 168.3120 - logcount_predictions_loss: 48.8111 59/697 [=>............................] - ETA: 1:55 - loss: 428.7648 - logits_profile_predictions_loss: 168.3568 - logcount_predictions_loss: 48.2237 60/697 [=>............................] - ETA: 1:55 - loss: 425.7244 - logits_profile_predictions_loss: 168.4016 - logcount_predictions_loss: 47.6524 61/697 [=>............................] - ETA: 1:54 - loss: 422.7600 - logits_profile_predictions_loss: 168.4404 - logcount_predictions_loss: 47.0962 62/697 [=>............................] - ETA: 1:54 - loss: 419.8714 - logits_profile_predictions_loss: 168.4758 - logcount_predictions_loss: 46.5547 63/697 [=>............................] - ETA: 1:53 - loss: 417.0558 - logits_profile_predictions_loss: 168.5082 - logcount_predictions_loss: 46.0273 64/697 [=>............................] - ETA: 1:53 - loss: 414.3121 - logits_profile_predictions_loss: 168.5395 - logcount_predictions_loss: 45.5134 65/697 [=>............................] - ETA: 1:53 - loss: 411.6370 - logits_profile_predictions_loss: 168.5693 - logcount_predictions_loss: 45.0125 66/697 [=>............................] - ETA: 1:52 - loss: 409.0255 - logits_profile_predictions_loss: 168.5957 - logcount_predictions_loss: 44.5240 67/697 [=>............................] - ETA: 1:52 - loss: 406.4776 - logits_profile_predictions_loss: 168.6208 - logcount_predictions_loss: 44.0475 68/697 [=>............................] - ETA: 1:51 - loss: 403.9908 - logits_profile_predictions_loss: 168.6449 - logcount_predictions_loss: 43.5826 69/697 [=>............................] - ETA: 1:51 - loss: 401.5629 - logits_profile_predictions_loss: 168.6679 - logcount_predictions_loss: 43.1287 70/697 [==>...........................] - ETA: 1:50 - loss: 399.1910 - logits_profile_predictions_loss: 168.6893 - logcount_predictions_loss: 42.6855 71/697 [==>...........................] - ETA: 1:50 - loss: 396.8756 - logits_profile_predictions_loss: 168.7113 - logcount_predictions_loss: 42.2526 72/697 [==>...........................] - ETA: 1:50 - loss: 394.6155 - logits_profile_predictions_loss: 168.7345 - logcount_predictions_loss: 41.8298 73/697 [==>...........................] - ETA: 1:49 - loss: 392.4080 - logits_profile_predictions_loss: 168.7583 - logcount_predictions_loss: 41.4166 74/697 [==>...........................] - ETA: 1:49 - loss: 390.2506 - logits_profile_predictions_loss: 168.7821 - logcount_predictions_loss: 41.0127 75/697 [==>...........................] - ETA: 1:48 - loss: 388.1391 - logits_profile_predictions_loss: 168.8036 - logcount_predictions_loss: 40.6177 76/697 [==>...........................] - ETA: 1:48 - loss: 386.0689 - logits_profile_predictions_loss: 168.8203 - logcount_predictions_loss: 40.2312 77/697 [==>...........................] - ETA: 1:48 - loss: 384.0426 - logits_profile_predictions_loss: 168.8359 - logcount_predictions_loss: 39.8531 78/697 [==>...........................] - ETA: 1:47 - loss: 382.0623 - logits_profile_predictions_loss: 168.8537 - logcount_predictions_loss: 39.4831 79/697 [==>...........................] - ETA: 1:47 - loss: 380.1247 - logits_profile_predictions_loss: 168.8718 - logcount_predictions_loss: 39.1209 80/697 [==>...........................] - ETA: 1:47 - loss: 378.2263 - logits_profile_predictions_loss: 168.8886 - logcount_predictions_loss: 38.7662 81/697 [==>...........................] - ETA: 1:46 - loss: 376.3660 - logits_profile_predictions_loss: 168.9041 - logcount_predictions_loss: 38.4189 82/697 [==>...........................] - ETA: 1:46 - loss: 374.5454 - logits_profile_predictions_loss: 168.9208 - logcount_predictions_loss: 38.0786 83/697 [==>...........................] - ETA: 1:46 - loss: 372.7615 - logits_profile_predictions_loss: 168.9374 - logcount_predictions_loss: 37.7452 84/697 [==>...........................] - ETA: 1:45 - loss: 371.0130 - logits_profile_predictions_loss: 168.9536 - logcount_predictions_loss: 37.4184 85/697 [==>...........................] - ETA: 1:45 - loss: 369.2997 - logits_profile_predictions_loss: 168.9702 - logcount_predictions_loss: 37.0981 86/697 [==>...........................] - ETA: 1:45 - loss: 367.6162 - logits_profile_predictions_loss: 168.9833 - logcount_predictions_loss: 36.7839 87/697 [==>...........................] - ETA: 1:44 - loss: 365.9663 - logits_profile_predictions_loss: 168.9972 - logcount_predictions_loss: 36.4758 88/697 [==>...........................] - ETA: 1:44 - loss: 364.3465 - logits_profile_predictions_loss: 169.0096 - logcount_predictions_loss: 36.1735 89/697 [==>...........................] - ETA: 1:44 - loss: 362.7571 - logits_profile_predictions_loss: 169.0217 - logcount_predictions_loss: 35.8769 90/697 [==>...........................] - ETA: 1:43 - loss: 361.1957 - logits_profile_predictions_loss: 169.0320 - logcount_predictions_loss: 35.5859 91/697 [==>...........................] - ETA: 1:43 - loss: 359.6644 - logits_profile_predictions_loss: 169.0433 - logcount_predictions_loss: 35.3002 92/697 [==>...........................] - ETA: 1:43 - loss: 358.1629 - logits_profile_predictions_loss: 169.0561 - logcount_predictions_loss: 35.0198 93/697 [===>..........................] - ETA: 1:43 - loss: 356.6890 - logits_profile_predictions_loss: 169.0691 - logcount_predictions_loss: 34.7444 94/697 [===>..........................] - ETA: 1:42 - loss: 355.2432 - logits_profile_predictions_loss: 169.0833 - logcount_predictions_loss: 34.4741 95/697 [===>..........................] - ETA: 1:42 - loss: 353.8236 - logits_profile_predictions_loss: 169.0976 - logcount_predictions_loss: 34.2085 96/697 [===>..........................] - ETA: 1:42 - loss: 352.4277 - logits_profile_predictions_loss: 169.1106 - logcount_predictions_loss: 33.9476 97/697 [===>..........................] - ETA: 1:41 - loss: 351.0572 - logits_profile_predictions_loss: 169.1244 - logcount_predictions_loss: 33.6913 98/697 [===>..........................] - ETA: 1:41 - loss: 349.7090 - logits_profile_predictions_loss: 169.1367 - logcount_predictions_loss: 33.4393 99/697 [===>..........................] - ETA: 1:41 - loss: 348.3816 - logits_profile_predictions_loss: 169.1469 - logcount_predictions_loss: 33.1916 100/697 [===>..........................] - ETA: 1:41 - loss: 347.0783 - logits_profile_predictions_loss: 169.1583 - logcount_predictions_loss: 32.9481 101/697 [===>..........................] - ETA: 1:40 - loss: 345.7989 - logits_profile_predictions_loss: 169.1716 - logcount_predictions_loss: 32.7088 102/697 [===>..........................] - ETA: 1:40 - loss: 344.5421 - logits_profile_predictions_loss: 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logcount_predictions_loss: 7.9179 696/697 [============================>.] - ETA: 0s - loss: 211.9178 - logits_profile_predictions_loss: 169.2047 - logcount_predictions_loss: 7.9098 697/697 [==============================] - ETA: 0s - loss: 211.8734 - logits_profile_predictions_loss: 169.2035 - logcount_predictions_loss: 7.9018 697/697 [==============================] - 122s 163ms/step - loss: 211.8291 - logits_profile_predictions_loss: 169.2023 - logcount_predictions_loss: 7.8939 - val_loss: 178.3679 - val_logits_profile_predictions_loss: 171.3349 - val_logcount_predictions_loss: 1.3024 + +Epoch 00001: val_loss improved from inf to 178.36786, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3/chrombpnet.h5 +Epoch 2/50 + 1/697 [..............................] - ETA: 2:02 - loss: 171.3254 - logits_profile_predictions_loss: 165.4507 - logcount_predictions_loss: 1.0879 2/697 [..............................] - ETA: 1:45 - loss: 175.6634 - logits_profile_predictions_loss: 169.4359 - logcount_predictions_loss: 1.1532 3/697 [..............................] - ETA: 1:45 - loss: 177.7926 - logits_profile_predictions_loss: 171.3191 - logcount_predictions_loss: 1.1988 4/697 [..............................] - ETA: 1:45 - loss: 178.0445 - logits_profile_predictions_loss: 171.4767 - logcount_predictions_loss: 1.2163 5/697 [..............................] - ETA: 1:44 - loss: 177.2578 - logits_profile_predictions_loss: 170.7071 - logcount_predictions_loss: 1.2131 6/697 [..............................] - ETA: 1:44 - loss: 176.8251 - logits_profile_predictions_loss: 170.2666 - logcount_predictions_loss: 1.2145 7/697 [..............................] - ETA: 1:44 - loss: 176.4149 - logits_profile_predictions_loss: 169.8689 - logcount_predictions_loss: 1.2122 8/697 [..............................] - ETA: 1:44 - loss: 176.0950 - logits_profile_predictions_loss: 169.5693 - logcount_predictions_loss: 1.2084 9/697 [..............................] - ETA: 1:44 - loss: 175.7499 - logits_profile_predictions_loss: 169.2478 - logcount_predictions_loss: 1.2041 10/697 [..............................] - ETA: 1:44 - loss: 175.5339 - logits_profile_predictions_loss: 169.0413 - logcount_predictions_loss: 1.2023 11/697 [..............................] - ETA: 1:43 - loss: 175.3841 - logits_profile_predictions_loss: 168.8968 - logcount_predictions_loss: 1.2014 12/697 [..............................] - ETA: 1:43 - loss: 175.2690 - logits_profile_predictions_loss: 168.7800 - logcount_predictions_loss: 1.2017 13/697 [..............................] - ETA: 1:43 - loss: 175.0647 - logits_profile_predictions_loss: 168.5831 - logcount_predictions_loss: 1.2003 14/697 [..............................] - ETA: 1:43 - loss: 174.9682 - logits_profile_predictions_loss: 168.4844 - logcount_predictions_loss: 1.2007 15/697 [..............................] - ETA: 1:43 - loss: 174.9191 - logits_profile_predictions_loss: 168.4272 - logcount_predictions_loss: 1.2022 16/697 [..............................] - ETA: 1:43 - loss: 174.8463 - logits_profile_predictions_loss: 168.3508 - logcount_predictions_loss: 1.2029 17/697 [..............................] - ETA: 1:42 - loss: 174.7730 - logits_profile_predictions_loss: 168.2782 - logcount_predictions_loss: 1.2027 18/697 [..............................] - ETA: 1:42 - loss: 174.6987 - logits_profile_predictions_loss: 168.2058 - logcount_predictions_loss: 1.2024 19/697 [..............................] - ETA: 1:42 - loss: 174.6392 - logits_profile_predictions_loss: 168.1466 - logcount_predictions_loss: 1.2023 20/697 [..............................] - ETA: 1:42 - loss: 174.5577 - logits_profile_predictions_loss: 168.0684 - logcount_predictions_loss: 1.2017 21/697 [..............................] - ETA: 1:42 - loss: 174.5412 - logits_profile_predictions_loss: 168.0483 - logcount_predictions_loss: 1.2024 22/697 [..............................] - ETA: 1:42 - loss: 174.5014 - logits_profile_predictions_loss: 168.0072 - logcount_predictions_loss: 1.2026 23/697 [..............................] - ETA: 1:42 - loss: 174.4560 - logits_profile_predictions_loss: 167.9593 - logcount_predictions_loss: 1.2031 24/697 [>.............................] - ETA: 1:41 - loss: 174.3923 - logits_profile_predictions_loss: 167.8950 - logcount_predictions_loss: 1.2032 25/697 [>.............................] - ETA: 1:41 - loss: 174.3600 - logits_profile_predictions_loss: 167.8591 - logcount_predictions_loss: 1.2039 26/697 [>.............................] - ETA: 1:41 - loss: 174.3181 - logits_profile_predictions_loss: 167.8155 - logcount_predictions_loss: 1.2042 27/697 [>.............................] - ETA: 1:41 - loss: 174.2852 - logits_profile_predictions_loss: 167.7796 - logcount_predictions_loss: 1.2047 28/697 [>.............................] - ETA: 1:41 - loss: 174.2417 - logits_profile_predictions_loss: 167.7352 - logcount_predictions_loss: 1.2049 29/697 [>.............................] - ETA: 1:41 - loss: 174.1881 - logits_profile_predictions_loss: 167.6818 - logcount_predictions_loss: 1.2049 30/697 [>.............................] - ETA: 1:41 - loss: 174.1415 - logits_profile_predictions_loss: 167.6346 - logcount_predictions_loss: 1.2050 31/697 [>.............................] - ETA: 1:40 - loss: 174.0990 - logits_profile_predictions_loss: 167.5911 - logcount_predictions_loss: 1.2052 32/697 [>.............................] - ETA: 1:40 - loss: 174.0709 - logits_profile_predictions_loss: 167.5609 - logcount_predictions_loss: 1.2056 33/697 [>.............................] - ETA: 1:40 - loss: 174.0515 - logits_profile_predictions_loss: 167.5388 - logcount_predictions_loss: 1.2060 34/697 [>.............................] - ETA: 1:40 - loss: 174.0270 - logits_profile_predictions_loss: 167.5128 - logcount_predictions_loss: 1.2063 35/697 [>.............................] - ETA: 1:40 - loss: 174.0083 - logits_profile_predictions_loss: 167.4930 - logcount_predictions_loss: 1.2065 36/697 [>.............................] - ETA: 1:40 - loss: 173.9968 - logits_profile_predictions_loss: 167.4800 - logcount_predictions_loss: 1.2068 37/697 [>.............................] - ETA: 1:39 - loss: 173.9866 - logits_profile_predictions_loss: 167.4681 - logcount_predictions_loss: 1.2071 38/697 [>.............................] - ETA: 1:39 - loss: 173.9730 - logits_profile_predictions_loss: 167.4529 - logcount_predictions_loss: 1.2074 39/697 [>.............................] - ETA: 1:39 - loss: 173.9548 - logits_profile_predictions_loss: 167.4341 - logcount_predictions_loss: 1.2075 40/697 [>.............................] - ETA: 1:39 - loss: 173.9279 - logits_profile_predictions_loss: 167.4075 - logcount_predictions_loss: 1.2075 41/697 [>.............................] - ETA: 1:39 - loss: 173.8983 - logits_profile_predictions_loss: 167.3785 - logcount_predictions_loss: 1.2074 42/697 [>.............................] - ETA: 1:39 - loss: 173.8770 - logits_profile_predictions_loss: 167.3569 - logcount_predictions_loss: 1.2074 43/697 [>.............................] - ETA: 1:39 - loss: 173.8515 - logits_profile_predictions_loss: 167.3316 - logcount_predictions_loss: 1.2074 44/697 [>.............................] - ETA: 1:38 - loss: 173.8241 - logits_profile_predictions_loss: 167.3047 - logcount_predictions_loss: 1.2073 45/697 [>.............................] - ETA: 1:38 - loss: 173.8004 - logits_profile_predictions_loss: 167.2812 - logcount_predictions_loss: 1.2073 46/697 [>.............................] - ETA: 1:38 - loss: 173.7744 - logits_profile_predictions_loss: 167.2557 - logcount_predictions_loss: 1.2072 47/697 [=>............................] - ETA: 1:38 - loss: 173.7445 - logits_profile_predictions_loss: 167.2267 - logcount_predictions_loss: 1.2070 48/697 [=>............................] - ETA: 1:38 - loss: 173.7187 - logits_profile_predictions_loss: 167.2013 - logcount_predictions_loss: 1.2069 49/697 [=>............................] - ETA: 1:38 - loss: 173.6980 - logits_profile_predictions_loss: 167.1804 - logcount_predictions_loss: 1.2070 50/697 [=>............................] - ETA: 1:37 - loss: 173.6798 - logits_profile_predictions_loss: 167.1617 - logcount_predictions_loss: 1.2070 51/697 [=>............................] - ETA: 1:37 - loss: 173.6642 - logits_profile_predictions_loss: 167.1454 - logcount_predictions_loss: 1.2072 52/697 [=>............................] - ETA: 1:37 - loss: 173.6452 - logits_profile_predictions_loss: 167.1260 - logcount_predictions_loss: 1.2072 53/697 [=>............................] - ETA: 1:37 - loss: 173.6232 - logits_profile_predictions_loss: 167.1038 - logcount_predictions_loss: 1.2073 54/697 [=>............................] - ETA: 1:37 - loss: 173.5973 - logits_profile_predictions_loss: 167.0784 - logcount_predictions_loss: 1.2072 55/697 [=>............................] - ETA: 1:37 - loss: 173.5730 - logits_profile_predictions_loss: 167.0543 - logcount_predictions_loss: 1.2072 56/697 [=>............................] - ETA: 1:37 - loss: 173.5504 - logits_profile_predictions_loss: 167.0318 - logcount_predictions_loss: 1.2071 57/697 [=>............................] - ETA: 1:36 - loss: 173.5283 - logits_profile_predictions_loss: 167.0098 - logcount_predictions_loss: 1.2071 58/697 [=>............................] - ETA: 1:36 - loss: 173.5073 - logits_profile_predictions_loss: 166.9890 - logcount_predictions_loss: 1.2071 59/697 [=>............................] - ETA: 1:36 - loss: 173.4896 - logits_profile_predictions_loss: 166.9712 - logcount_predictions_loss: 1.2071 60/697 [=>............................] - ETA: 1:36 - loss: 173.4783 - logits_profile_predictions_loss: 166.9594 - logcount_predictions_loss: 1.2072 61/697 [=>............................] - ETA: 1:36 - loss: 173.4696 - logits_profile_predictions_loss: 166.9498 - logcount_predictions_loss: 1.2074 62/697 [=>............................] - ETA: 1:36 - loss: 173.4635 - logits_profile_predictions_loss: 166.9425 - logcount_predictions_loss: 1.2076 63/697 [=>............................] - ETA: 1:35 - loss: 173.4544 - logits_profile_predictions_loss: 166.9326 - logcount_predictions_loss: 1.2077 64/697 [=>............................] - ETA: 1:35 - loss: 173.4463 - logits_profile_predictions_loss: 166.9235 - logcount_predictions_loss: 1.2079 65/697 [=>............................] - ETA: 1:35 - loss: 173.4366 - logits_profile_predictions_loss: 166.9131 - logcount_predictions_loss: 1.2081 66/697 [=>............................] - ETA: 1:35 - loss: 173.4240 - logits_profile_predictions_loss: 166.9002 - logcount_predictions_loss: 1.2081 67/697 [=>............................] - ETA: 1:35 - loss: 173.4144 - logits_profile_predictions_loss: 166.8901 - logcount_predictions_loss: 1.2082 68/697 [=>............................] - ETA: 1:35 - loss: 173.4067 - logits_profile_predictions_loss: 166.8816 - logcount_predictions_loss: 1.2083 69/697 [=>............................] - ETA: 1:35 - loss: 173.3975 - logits_profile_predictions_loss: 166.8719 - logcount_predictions_loss: 1.2084 70/697 [==>...........................] - ETA: 1:34 - loss: 173.3891 - logits_profile_predictions_loss: 166.8629 - logcount_predictions_loss: 1.2086 71/697 [==>...........................] - ETA: 1:34 - loss: 173.3822 - logits_profile_predictions_loss: 166.8553 - logcount_predictions_loss: 1.2087 72/697 [==>...........................] - ETA: 1:34 - loss: 173.3761 - logits_profile_predictions_loss: 166.8484 - logcount_predictions_loss: 1.2088 73/697 [==>...........................] - ETA: 1:34 - loss: 173.3720 - logits_profile_predictions_loss: 166.8433 - logcount_predictions_loss: 1.2090 74/697 [==>...........................] - ETA: 1:34 - loss: 173.3689 - logits_profile_predictions_loss: 166.8390 - logcount_predictions_loss: 1.2092 75/697 [==>...........................] - ETA: 1:34 - loss: 173.3655 - logits_profile_predictions_loss: 166.8345 - logcount_predictions_loss: 1.2094 76/697 [==>...........................] - ETA: 1:34 - loss: 173.3613 - logits_profile_predictions_loss: 166.8292 - logcount_predictions_loss: 1.2096 77/697 [==>...........................] - ETA: 1:33 - loss: 173.3579 - logits_profile_predictions_loss: 166.8246 - logcount_predictions_loss: 1.2099 78/697 [==>...........................] - ETA: 1:33 - loss: 173.3533 - logits_profile_predictions_loss: 166.8188 - logcount_predictions_loss: 1.2101 79/697 [==>...........................] - ETA: 1:33 - loss: 173.3501 - logits_profile_predictions_loss: 166.8143 - logcount_predictions_loss: 1.2103 80/697 [==>...........................] - ETA: 1:33 - loss: 173.3501 - logits_profile_predictions_loss: 166.8129 - logcount_predictions_loss: 1.2106 81/697 [==>...........................] - ETA: 1:33 - loss: 173.3500 - logits_profile_predictions_loss: 166.8113 - logcount_predictions_loss: 1.2109 82/697 [==>...........................] - ETA: 1:33 - loss: 173.3517 - logits_profile_predictions_loss: 166.8116 - logcount_predictions_loss: 1.2111 83/697 [==>...........................] - ETA: 1:32 - loss: 173.3527 - logits_profile_predictions_loss: 166.8113 - logcount_predictions_loss: 1.2114 84/697 [==>...........................] - ETA: 1:32 - loss: 173.3522 - logits_profile_predictions_loss: 166.8097 - logcount_predictions_loss: 1.2116 85/697 [==>...........................] - ETA: 1:32 - loss: 173.3518 - logits_profile_predictions_loss: 166.8081 - logcount_predictions_loss: 1.2118 86/697 [==>...........................] - ETA: 1:32 - loss: 173.3505 - logits_profile_predictions_loss: 166.8057 - logcount_predictions_loss: 1.2120 87/697 [==>...........................] - ETA: 1:32 - loss: 173.3500 - logits_profile_predictions_loss: 166.8042 - logcount_predictions_loss: 1.2122 88/697 [==>...........................] - ETA: 1:32 - loss: 173.3490 - logits_profile_predictions_loss: 166.8022 - logcount_predictions_loss: 1.2124 89/697 [==>...........................] - ETA: 1:32 - loss: 173.3463 - logits_profile_predictions_loss: 166.7987 - logcount_predictions_loss: 1.2125 90/697 [==>...........................] - ETA: 1:31 - loss: 173.3429 - logits_profile_predictions_loss: 166.7948 - logcount_predictions_loss: 1.2126 91/697 [==>...........................] - ETA: 1:31 - loss: 173.3390 - logits_profile_predictions_loss: 166.7902 - logcount_predictions_loss: 1.2127 92/697 [==>...........................] - ETA: 1:31 - loss: 173.3358 - logits_profile_predictions_loss: 166.7864 - logcount_predictions_loss: 1.2128 93/697 [===>..........................] - ETA: 1:31 - loss: 173.3311 - logits_profile_predictions_loss: 166.7813 - logcount_predictions_loss: 1.2129 94/697 [===>..........................] - ETA: 1:31 - loss: 173.3280 - logits_profile_predictions_loss: 166.7777 - logcount_predictions_loss: 1.2130 95/697 [===>..........................] - ETA: 1:31 - loss: 173.3258 - logits_profile_predictions_loss: 166.7749 - logcount_predictions_loss: 1.2131 96/697 [===>..........................] - ETA: 1:30 - loss: 173.3248 - logits_profile_predictions_loss: 166.7733 - logcount_predictions_loss: 1.2133 97/697 [===>..........................] - ETA: 1:30 - loss: 173.3231 - logits_profile_predictions_loss: 166.7709 - logcount_predictions_loss: 1.2134 98/697 [===>..........................] - ETA: 1:30 - loss: 173.3197 - logits_profile_predictions_loss: 166.7670 - logcount_predictions_loss: 1.2135 99/697 [===>..........................] - ETA: 1:30 - loss: 173.3154 - logits_profile_predictions_loss: 166.7623 - logcount_predictions_loss: 1.2135 100/697 [===>..........................] - ETA: 1:30 - loss: 173.3121 - logits_profile_predictions_loss: 166.7586 - logcount_predictions_loss: 1.2136 101/697 [===>..........................] - ETA: 1:30 - loss: 173.3078 - logits_profile_predictions_loss: 166.7540 - logcount_predictions_loss: 1.2137 102/697 [===>..........................] - ETA: 1:30 - loss: 173.3035 - logits_profile_predictions_loss: 166.7494 - logcount_predictions_loss: 1.2137 103/697 [===>..........................] - ETA: 1:29 - loss: 173.3016 - logits_profile_predictions_loss: 166.7468 - logcount_predictions_loss: 1.2138 104/697 [===>..........................] - ETA: 1:29 - loss: 173.3015 - logits_profile_predictions_loss: 166.7461 - logcount_predictions_loss: 1.2140 105/697 [===>..........................] - ETA: 1:29 - loss: 173.3002 - logits_profile_predictions_loss: 166.7443 - logcount_predictions_loss: 1.2141 106/697 [===>..........................] - ETA: 1:29 - loss: 173.2981 - logits_profile_predictions_loss: 166.7417 - logcount_predictions_loss: 1.2141 107/697 [===>..........................] - ETA: 1:29 - loss: 173.2956 - logits_profile_predictions_loss: 166.7387 - logcount_predictions_loss: 1.2142 108/697 [===>..........................] - ETA: 1:29 - loss: 173.2926 - logits_profile_predictions_loss: 166.7354 - logcount_predictions_loss: 1.2143 109/697 [===>..........................] - ETA: 1:29 - loss: 173.2880 - logits_profile_predictions_loss: 166.7305 - logcount_predictions_loss: 1.2143 110/697 [===>..........................] - ETA: 1:28 - loss: 173.2833 - logits_profile_predictions_loss: 166.7257 - logcount_predictions_loss: 1.2144 111/697 [===>..........................] - ETA: 1:28 - loss: 173.2794 - logits_profile_predictions_loss: 166.7215 - logcount_predictions_loss: 1.2144 112/697 [===>..........................] - ETA: 1:28 - loss: 173.2772 - logits_profile_predictions_loss: 166.7189 - logcount_predictions_loss: 1.2145 113/697 [===>..........................] - ETA: 1:28 - loss: 173.2751 - logits_profile_predictions_loss: 166.7163 - logcount_predictions_loss: 1.2146 114/697 [===>..........................] - ETA: 1:28 - loss: 173.2749 - logits_profile_predictions_loss: 166.7155 - logcount_predictions_loss: 1.2147 115/697 [===>..........................] - ETA: 1:28 - loss: 173.2731 - logits_profile_predictions_loss: 166.7133 - logcount_predictions_loss: 1.2148 116/697 [===>..........................] - ETA: 1:27 - loss: 173.2728 - logits_profile_predictions_loss: 166.7123 - logcount_predictions_loss: 1.2149 117/697 [====>.........................] - ETA: 1:27 - loss: 173.2737 - logits_profile_predictions_loss: 166.7125 - logcount_predictions_loss: 1.2150 118/697 [====>.........................] - ETA: 1:27 - loss: 173.2752 - logits_profile_predictions_loss: 166.7132 - logcount_predictions_loss: 1.2152 119/697 [====>.........................] - ETA: 1:27 - loss: 173.2765 - logits_profile_predictions_loss: 166.7136 - logcount_predictions_loss: 1.2153 120/697 [====>.........................] - ETA: 1:27 - loss: 173.2780 - logits_profile_predictions_loss: 166.7143 - logcount_predictions_loss: 1.2155 121/697 [====>.........................] - ETA: 1:27 - loss: 173.2797 - logits_profile_predictions_loss: 166.7152 - logcount_predictions_loss: 1.2157 122/697 [====>.........................] - ETA: 1:27 - 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129/697 [====>.........................] - ETA: 1:26 - loss: 173.2864 - logits_profile_predictions_loss: 166.7162 - logcount_predictions_loss: 1.2167 130/697 [====>.........................] - ETA: 1:25 - loss: 173.2858 - logits_profile_predictions_loss: 166.7150 - logcount_predictions_loss: 1.2168 131/697 [====>.........................] - ETA: 1:25 - loss: 173.2861 - logits_profile_predictions_loss: 166.7147 - logcount_predictions_loss: 1.2169 132/697 [====>.........................] - ETA: 1:25 - loss: 173.2864 - logits_profile_predictions_loss: 166.7145 - logcount_predictions_loss: 1.2170 133/697 [====>.........................] - ETA: 1:25 - loss: 173.2869 - logits_profile_predictions_loss: 166.7143 - logcount_predictions_loss: 1.2171 134/697 [====>.........................] - ETA: 1:25 - loss: 173.2866 - logits_profile_predictions_loss: 166.7135 - logcount_predictions_loss: 1.2172 135/697 [====>.........................] - ETA: 1:25 - loss: 173.2865 - 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[==>...........................] - ETA: 1:33 - loss: 166.6855 - logits_profile_predictions_loss: 165.0424 - logcount_predictions_loss: 0.3043 81/697 [==>...........................] - ETA: 1:33 - loss: 166.6956 - logits_profile_predictions_loss: 165.0550 - logcount_predictions_loss: 0.3038 82/697 [==>...........................] - ETA: 1:33 - loss: 166.7042 - logits_profile_predictions_loss: 165.0661 - logcount_predictions_loss: 0.3034 83/697 [==>...........................] - ETA: 1:32 - loss: 166.7104 - logits_profile_predictions_loss: 165.0747 - logcount_predictions_loss: 0.3029 84/697 [==>...........................] - ETA: 1:32 - loss: 166.7159 - logits_profile_predictions_loss: 165.0826 - logcount_predictions_loss: 0.3025 85/697 [==>...........................] - ETA: 1:32 - loss: 166.7192 - logits_profile_predictions_loss: 165.0884 - logcount_predictions_loss: 0.3020 86/697 [==>...........................] - ETA: 1:32 - loss: 166.7209 - logits_profile_predictions_loss: 165.0925 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[..............................] - ETA: 1:43 - loss: 167.9987 - logits_profile_predictions_loss: 167.0286 - logcount_predictions_loss: 0.1796 21/697 [..............................] - ETA: 1:42 - loss: 167.9766 - logits_profile_predictions_loss: 167.0055 - logcount_predictions_loss: 0.1798 22/697 [..............................] - ETA: 1:42 - loss: 167.9283 - logits_profile_predictions_loss: 166.9563 - logcount_predictions_loss: 0.1800 23/697 [..............................] - ETA: 1:42 - loss: 167.8588 - logits_profile_predictions_loss: 166.8864 - logcount_predictions_loss: 0.1801 24/697 [>.............................] - ETA: 1:42 - loss: 167.7748 - logits_profile_predictions_loss: 166.8015 - logcount_predictions_loss: 0.1803 25/697 [>.............................] - ETA: 1:42 - loss: 167.7152 - logits_profile_predictions_loss: 166.7404 - logcount_predictions_loss: 0.1805 26/697 [>.............................] - ETA: 1:41 - loss: 167.6625 - logits_profile_predictions_loss: 166.6860 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[==>...........................] - ETA: 1:33 - loss: 167.0812 - logits_profile_predictions_loss: 166.0853 - logcount_predictions_loss: 0.1844 81/697 [==>...........................] - ETA: 1:33 - loss: 167.0736 - logits_profile_predictions_loss: 166.0781 - logcount_predictions_loss: 0.1844 82/697 [==>...........................] - ETA: 1:33 - loss: 167.0643 - logits_profile_predictions_loss: 166.0690 - logcount_predictions_loss: 0.1843 83/697 [==>...........................] - ETA: 1:33 - loss: 167.0552 - logits_profile_predictions_loss: 166.0603 - logcount_predictions_loss: 0.1843 84/697 [==>...........................] - ETA: 1:32 - loss: 167.0453 - logits_profile_predictions_loss: 166.0505 - logcount_predictions_loss: 0.1842 85/697 [==>...........................] - ETA: 1:32 - loss: 167.0364 - logits_profile_predictions_loss: 166.0420 - logcount_predictions_loss: 0.1842 86/697 [==>...........................] - ETA: 1:32 - loss: 167.0280 - logits_profile_predictions_loss: 166.0337 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[..............................] - ETA: 1:43 - loss: 160.2800 - logits_profile_predictions_loss: 159.4367 - logcount_predictions_loss: 0.1562 12/697 [..............................] - ETA: 1:43 - loss: 160.6586 - logits_profile_predictions_loss: 159.8120 - logcount_predictions_loss: 0.1568 13/697 [..............................] - ETA: 1:43 - loss: 161.0492 - logits_profile_predictions_loss: 160.1975 - logcount_predictions_loss: 0.1577 14/697 [..............................] - ETA: 1:43 - loss: 161.3945 - logits_profile_predictions_loss: 160.5382 - logcount_predictions_loss: 0.1586 15/697 [..............................] - ETA: 1:43 - loss: 161.6708 - logits_profile_predictions_loss: 160.8097 - logcount_predictions_loss: 0.1595 16/697 [..............................] - ETA: 1:43 - loss: 161.8594 - logits_profile_predictions_loss: 160.9931 - logcount_predictions_loss: 0.1604 17/697 [..............................] - ETA: 1:43 - loss: 162.0521 - logits_profile_predictions_loss: 161.1811 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[>.............................] - ETA: 1:40 - loss: 163.2351 - logits_profile_predictions_loss: 162.3234 - logcount_predictions_loss: 0.1688 32/697 [>.............................] - ETA: 1:40 - loss: 163.2425 - logits_profile_predictions_loss: 162.3292 - logcount_predictions_loss: 0.1691 33/697 [>.............................] - ETA: 1:40 - loss: 163.2482 - logits_profile_predictions_loss: 162.3335 - logcount_predictions_loss: 0.1694 34/697 [>.............................] - ETA: 1:40 - loss: 163.2512 - logits_profile_predictions_loss: 162.3354 - logcount_predictions_loss: 0.1696 35/697 [>.............................] - ETA: 1:40 - loss: 163.2529 - logits_profile_predictions_loss: 162.3364 - logcount_predictions_loss: 0.1697 36/697 [>.............................] - ETA: 1:40 - loss: 163.2626 - logits_profile_predictions_loss: 162.3453 - logcount_predictions_loss: 0.1699 37/697 [>.............................] - ETA: 1:39 - loss: 163.2680 - logits_profile_predictions_loss: 162.3498 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[=>............................] - ETA: 1:37 - loss: 163.4691 - logits_profile_predictions_loss: 162.5435 - logcount_predictions_loss: 0.1714 52/697 [=>............................] - ETA: 1:37 - loss: 163.4831 - logits_profile_predictions_loss: 162.5568 - logcount_predictions_loss: 0.1715 53/697 [=>............................] - ETA: 1:37 - loss: 163.4971 - logits_profile_predictions_loss: 162.5702 - logcount_predictions_loss: 0.1716 54/697 [=>............................] - ETA: 1:37 - loss: 163.5096 - logits_profile_predictions_loss: 162.5823 - logcount_predictions_loss: 0.1717 55/697 [=>............................] - ETA: 1:37 - loss: 163.5209 - logits_profile_predictions_loss: 162.5932 - logcount_predictions_loss: 0.1718 56/697 [=>............................] - ETA: 1:37 - loss: 163.5293 - logits_profile_predictions_loss: 162.6014 - logcount_predictions_loss: 0.1718 57/697 [=>............................] - ETA: 1:36 - loss: 163.5332 - logits_profile_predictions_loss: 162.6051 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[==>...........................] - ETA: 1:34 - loss: 163.6366 - logits_profile_predictions_loss: 162.7052 - logcount_predictions_loss: 0.1725 72/697 [==>...........................] - ETA: 1:34 - loss: 163.6376 - logits_profile_predictions_loss: 162.7060 - logcount_predictions_loss: 0.1725 73/697 [==>...........................] - ETA: 1:34 - loss: 163.6384 - logits_profile_predictions_loss: 162.7064 - logcount_predictions_loss: 0.1726 74/697 [==>...........................] - ETA: 1:34 - loss: 163.6375 - logits_profile_predictions_loss: 162.7053 - logcount_predictions_loss: 0.1726 75/697 [==>...........................] - ETA: 1:34 - loss: 163.6392 - logits_profile_predictions_loss: 162.7067 - logcount_predictions_loss: 0.1727 76/697 [==>...........................] - ETA: 1:34 - loss: 163.6396 - logits_profile_predictions_loss: 162.7068 - logcount_predictions_loss: 0.1727 77/697 [==>...........................] - ETA: 1:33 - loss: 163.6399 - logits_profile_predictions_loss: 162.7069 - logcount_predictions_loss: 0.1728 78/697 [==>...........................] - ETA: 1:33 - loss: 163.6422 - logits_profile_predictions_loss: 162.7089 - logcount_predictions_loss: 0.1728 79/697 [==>...........................] - ETA: 1:33 - loss: 163.6443 - logits_profile_predictions_loss: 162.7107 - logcount_predictions_loss: 0.1729 80/697 [==>...........................] - ETA: 1:33 - loss: 163.6456 - logits_profile_predictions_loss: 162.7117 - logcount_predictions_loss: 0.1729 81/697 [==>...........................] - ETA: 1:33 - loss: 163.6498 - logits_profile_predictions_loss: 162.7156 - logcount_predictions_loss: 0.1730 82/697 [==>...........................] - ETA: 1:33 - loss: 163.6529 - logits_profile_predictions_loss: 162.7183 - logcount_predictions_loss: 0.1731 83/697 [==>...........................] - ETA: 1:33 - loss: 163.6579 - logits_profile_predictions_loss: 162.7230 - logcount_predictions_loss: 0.1731 84/697 [==>...........................] - ETA: 1:32 - loss: 163.6631 - 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[==>...........................] - ETA: 1:31 - loss: 163.6905 - logits_profile_predictions_loss: 162.7533 - logcount_predictions_loss: 0.1736 92/697 [==>...........................] - ETA: 1:31 - loss: 163.6907 - logits_profile_predictions_loss: 162.7532 - logcount_predictions_loss: 0.1736 93/697 [===>..........................] - ETA: 1:31 - loss: 163.6905 - logits_profile_predictions_loss: 162.7528 - logcount_predictions_loss: 0.1737 94/697 [===>..........................] - ETA: 1:31 - loss: 163.6909 - logits_profile_predictions_loss: 162.7529 - logcount_predictions_loss: 0.1737 95/697 [===>..........................] - ETA: 1:31 - loss: 163.6911 - logits_profile_predictions_loss: 162.7528 - logcount_predictions_loss: 0.1737 96/697 [===>..........................] - ETA: 1:31 - loss: 163.6902 - logits_profile_predictions_loss: 162.7517 - logcount_predictions_loss: 0.1738 97/697 [===>..........................] - ETA: 1:30 - loss: 163.6890 - logits_profile_predictions_loss: 162.7504 - logcount_predictions_loss: 0.1738 98/697 [===>..........................] - ETA: 1:30 - loss: 163.6878 - logits_profile_predictions_loss: 162.7490 - logcount_predictions_loss: 0.1739 99/697 [===>..........................] - ETA: 1:30 - loss: 163.6860 - logits_profile_predictions_loss: 162.7470 - logcount_predictions_loss: 0.1739 100/697 [===>..........................] - ETA: 1:30 - loss: 163.6840 - logits_profile_predictions_loss: 162.7448 - logcount_predictions_loss: 0.1739 101/697 [===>..........................] - ETA: 1:30 - loss: 163.6831 - logits_profile_predictions_loss: 162.7439 - logcount_predictions_loss: 0.1739 102/697 [===>..........................] - ETA: 1:30 - loss: 163.6824 - logits_profile_predictions_loss: 162.7429 - logcount_predictions_loss: 0.1740 103/697 [===>..........................] - ETA: 1:29 - loss: 163.6820 - logits_profile_predictions_loss: 162.7423 - logcount_predictions_loss: 0.1740 104/697 [===>..........................] - ETA: 1:29 - loss: 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[===>..........................] - ETA: 1:28 - loss: 163.7067 - logits_profile_predictions_loss: 162.7627 - logcount_predictions_loss: 0.1748 112/697 [===>..........................] - ETA: 1:28 - loss: 163.7116 - logits_profile_predictions_loss: 162.7671 - logcount_predictions_loss: 0.1749 113/697 [===>..........................] - ETA: 1:28 - loss: 163.7169 - logits_profile_predictions_loss: 162.7719 - logcount_predictions_loss: 0.1750 114/697 [===>..........................] - ETA: 1:28 - loss: 163.7213 - logits_profile_predictions_loss: 162.7757 - logcount_predictions_loss: 0.1751 115/697 [===>..........................] - ETA: 1:28 - loss: 163.7257 - logits_profile_predictions_loss: 162.7796 - logcount_predictions_loss: 0.1752 116/697 [===>..........................] - ETA: 1:28 - loss: 163.7313 - logits_profile_predictions_loss: 162.7846 - logcount_predictions_loss: 0.1753 117/697 [====>.........................] - ETA: 1:27 - loss: 163.7364 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 159.8832 - logcount_predictions_loss: 0.1578 60/697 [=>............................] - ETA: 1:36 - loss: 160.7394 - logits_profile_predictions_loss: 159.8875 - logcount_predictions_loss: 0.1578 61/697 [=>............................] - ETA: 1:36 - loss: 160.7417 - logits_profile_predictions_loss: 159.8898 - logcount_predictions_loss: 0.1578 62/697 [=>............................] - ETA: 1:35 - loss: 160.7458 - logits_profile_predictions_loss: 159.8939 - logcount_predictions_loss: 0.1578 63/697 [=>............................] - ETA: 1:35 - loss: 160.7472 - logits_profile_predictions_loss: 159.8952 - logcount_predictions_loss: 0.1578 64/697 [=>............................] - ETA: 1:35 - loss: 160.7481 - logits_profile_predictions_loss: 159.8961 - logcount_predictions_loss: 0.1578 65/697 [=>............................] - ETA: 1:35 - loss: 160.7488 - logits_profile_predictions_loss: 159.8968 - logcount_predictions_loss: 0.1578 66/697 [=>............................] - ETA: 1:35 - loss: 160.7537 - logits_profile_predictions_loss: 159.9017 - logcount_predictions_loss: 0.1578 67/697 [=>............................] - ETA: 1:35 - loss: 160.7594 - logits_profile_predictions_loss: 159.9075 - logcount_predictions_loss: 0.1578 68/697 [=>............................] - ETA: 1:35 - loss: 160.7625 - logits_profile_predictions_loss: 159.9106 - logcount_predictions_loss: 0.1578 69/697 [=>............................] - ETA: 1:34 - loss: 160.7641 - logits_profile_predictions_loss: 159.9123 - logcount_predictions_loss: 0.1577 70/697 [==>...........................] - ETA: 1:34 - loss: 160.7667 - logits_profile_predictions_loss: 159.9149 - logcount_predictions_loss: 0.1577 71/697 [==>...........................] - ETA: 1:34 - loss: 160.7679 - logits_profile_predictions_loss: 159.9161 - logcount_predictions_loss: 0.1577 72/697 [==>...........................] - ETA: 1:34 - loss: 160.7700 - logits_profile_predictions_loss: 159.9184 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logits_profile_predictions_loss: 159.9394 - logcount_predictions_loss: 0.1576 80/697 [==>...........................] - ETA: 1:33 - loss: 160.7946 - logits_profile_predictions_loss: 159.9435 - logcount_predictions_loss: 0.1576 81/697 [==>...........................] - ETA: 1:33 - loss: 160.7994 - logits_profile_predictions_loss: 159.9483 - logcount_predictions_loss: 0.1576 82/697 [==>...........................] - ETA: 1:32 - loss: 160.8053 - logits_profile_predictions_loss: 159.9543 - logcount_predictions_loss: 0.1576 83/697 [==>...........................] - ETA: 1:32 - loss: 160.8101 - logits_profile_predictions_loss: 159.9591 - logcount_predictions_loss: 0.1576 84/697 [==>...........................] - ETA: 1:32 - loss: 160.8138 - logits_profile_predictions_loss: 159.9628 - logcount_predictions_loss: 0.1576 85/697 [==>...........................] - ETA: 1:32 - loss: 160.8187 - logits_profile_predictions_loss: 159.9678 - logcount_predictions_loss: 0.1576 86/697 [==>...........................] - ETA: 1:32 - loss: 160.8210 - logits_profile_predictions_loss: 159.9702 - logcount_predictions_loss: 0.1576 87/697 [==>...........................] - ETA: 1:32 - loss: 160.8216 - logits_profile_predictions_loss: 159.9708 - logcount_predictions_loss: 0.1576 88/697 [==>...........................] - ETA: 1:32 - loss: 160.8223 - logits_profile_predictions_loss: 159.9715 - logcount_predictions_loss: 0.1575 89/697 [==>...........................] - ETA: 1:31 - loss: 160.8262 - logits_profile_predictions_loss: 159.9755 - logcount_predictions_loss: 0.1575 90/697 [==>...........................] - ETA: 1:31 - loss: 160.8301 - logits_profile_predictions_loss: 159.9794 - logcount_predictions_loss: 0.1575 91/697 [==>...........................] - ETA: 1:31 - loss: 160.8335 - logits_profile_predictions_loss: 159.9829 - logcount_predictions_loss: 0.1575 92/697 [==>...........................] - ETA: 1:31 - loss: 160.8387 - logits_profile_predictions_loss: 159.9882 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logcount_predictions_loss: 0.1579 691/697 [============================>.] - ETA: 0s - loss: 162.0545 - logits_profile_predictions_loss: 161.2018 - logcount_predictions_loss: 0.1579 692/697 [============================>.] - ETA: 0s - loss: 162.0553 - logits_profile_predictions_loss: 161.2026 - logcount_predictions_loss: 0.1579 693/697 [============================>.] - ETA: 0s - loss: 162.0560 - logits_profile_predictions_loss: 161.2033 - logcount_predictions_loss: 0.1579 694/697 [============================>.] - ETA: 0s - loss: 162.0568 - logits_profile_predictions_loss: 161.2041 - logcount_predictions_loss: 0.1579 695/697 [============================>.] - ETA: 0s - loss: 162.0575 - logits_profile_predictions_loss: 161.2048 - logcount_predictions_loss: 0.1579 696/697 [============================>.] - ETA: 0s - loss: 162.0583 - logits_profile_predictions_loss: 161.2056 - logcount_predictions_loss: 0.1579 697/697 [==============================] - ETA: 0s - loss: 162.0591 - logits_profile_predictions_loss: 161.2063 - logcount_predictions_loss: 0.1579 697/697 [==============================] - 110s 158ms/step - loss: 162.0599 - logits_profile_predictions_loss: 161.2071 - logcount_predictions_loss: 0.1579 - val_loss: 170.9017 - val_logits_profile_predictions_loss: 170.0384 - val_logcount_predictions_loss: 0.1599 + +Epoch 00011: val_loss did not improve from 169.98253 +Epoch 12/50 + 1/697 [..............................] - ETA: 2:07 - loss: 170.6843 - logits_profile_predictions_loss: 169.9865 - logcount_predictions_loss: 0.1292 2/697 [..............................] - ETA: 1:55 - loss: 169.9600 - logits_profile_predictions_loss: 169.2470 - logcount_predictions_loss: 0.1320 3/697 [..............................] - ETA: 1:50 - loss: 168.6518 - logits_profile_predictions_loss: 167.8845 - logcount_predictions_loss: 0.1421 4/697 [..............................] - ETA: 1:48 - loss: 168.4139 - logits_profile_predictions_loss: 167.6202 - logcount_predictions_loss: 0.1470 5/697 [..............................] - ETA: 1:47 - loss: 168.2221 - logits_profile_predictions_loss: 167.4190 - logcount_predictions_loss: 0.1487 6/697 [..............................] - ETA: 1:46 - loss: 167.9023 - logits_profile_predictions_loss: 167.0979 - logcount_predictions_loss: 0.1490 7/697 [..............................] - ETA: 1:46 - loss: 167.4981 - logits_profile_predictions_loss: 166.6899 - logcount_predictions_loss: 0.1497 8/697 [..............................] - ETA: 1:45 - loss: 167.0166 - logits_profile_predictions_loss: 166.2089 - logcount_predictions_loss: 0.1496 9/697 [..............................] - ETA: 1:45 - loss: 166.3716 - logits_profile_predictions_loss: 165.5644 - logcount_predictions_loss: 0.1495 10/697 [..............................] - ETA: 1:45 - loss: 166.0383 - logits_profile_predictions_loss: 165.2300 - logcount_predictions_loss: 0.1497 11/697 [..............................] - ETA: 1:44 - loss: 165.7759 - logits_profile_predictions_loss: 164.9672 - logcount_predictions_loss: 0.1498 12/697 [..............................] - ETA: 1:44 - loss: 165.5702 - logits_profile_predictions_loss: 164.7624 - logcount_predictions_loss: 0.1496 13/697 [..............................] - ETA: 1:44 - loss: 165.4056 - logits_profile_predictions_loss: 164.5971 - logcount_predictions_loss: 0.1497 14/697 [..............................] - ETA: 1:44 - loss: 165.2073 - logits_profile_predictions_loss: 164.3986 - logcount_predictions_loss: 0.1498 15/697 [..............................] - ETA: 1:43 - loss: 165.0549 - logits_profile_predictions_loss: 164.2425 - logcount_predictions_loss: 0.1504 16/697 [..............................] - ETA: 1:43 - loss: 164.8596 - logits_profile_predictions_loss: 164.0453 - logcount_predictions_loss: 0.1508 17/697 [..............................] - ETA: 1:43 - loss: 164.6659 - logits_profile_predictions_loss: 163.8504 - logcount_predictions_loss: 0.1510 18/697 [..............................] - ETA: 1:43 - loss: 164.4547 - logits_profile_predictions_loss: 163.6387 - logcount_predictions_loss: 0.1511 19/697 [..............................] - ETA: 1:43 - loss: 164.2898 - logits_profile_predictions_loss: 163.4739 - logcount_predictions_loss: 0.1511 20/697 [..............................] - ETA: 1:43 - loss: 164.1381 - logits_profile_predictions_loss: 163.3222 - logcount_predictions_loss: 0.1511 21/697 [..............................] - ETA: 1:42 - loss: 163.9748 - logits_profile_predictions_loss: 163.1587 - logcount_predictions_loss: 0.1511 22/697 [..............................] - ETA: 1:42 - loss: 163.8534 - logits_profile_predictions_loss: 163.0368 - logcount_predictions_loss: 0.1512 23/697 [..............................] - ETA: 1:42 - loss: 163.7616 - logits_profile_predictions_loss: 162.9445 - logcount_predictions_loss: 0.1513 24/697 [>.............................] - ETA: 1:42 - loss: 163.6848 - logits_profile_predictions_loss: 162.8676 - logcount_predictions_loss: 0.1513 25/697 [>.............................] - ETA: 1:42 - loss: 163.6351 - logits_profile_predictions_loss: 162.8178 - logcount_predictions_loss: 0.1513 26/697 [>.............................] - ETA: 1:42 - loss: 163.5789 - logits_profile_predictions_loss: 162.7617 - logcount_predictions_loss: 0.1513 27/697 [>.............................] - ETA: 1:41 - loss: 163.5024 - logits_profile_predictions_loss: 162.6853 - logcount_predictions_loss: 0.1513 28/697 [>.............................] - ETA: 1:41 - loss: 163.4286 - logits_profile_predictions_loss: 162.6116 - logcount_predictions_loss: 0.1513 29/697 [>.............................] - ETA: 1:41 - loss: 163.3575 - logits_profile_predictions_loss: 162.5404 - logcount_predictions_loss: 0.1513 30/697 [>.............................] - ETA: 1:41 - loss: 163.2889 - logits_profile_predictions_loss: 162.4719 - logcount_predictions_loss: 0.1513 31/697 [>.............................] - ETA: 1:41 - loss: 163.2149 - logits_profile_predictions_loss: 162.3981 - logcount_predictions_loss: 0.1513 32/697 [>.............................] - ETA: 1:41 - loss: 163.1636 - logits_profile_predictions_loss: 162.3469 - logcount_predictions_loss: 0.1512 33/697 [>.............................] - ETA: 1:40 - loss: 163.1037 - logits_profile_predictions_loss: 162.2874 - logcount_predictions_loss: 0.1512 34/697 [>.............................] - ETA: 1:40 - loss: 163.0559 - logits_profile_predictions_loss: 162.2401 - logcount_predictions_loss: 0.1511 35/697 [>.............................] - ETA: 1:40 - loss: 163.0103 - logits_profile_predictions_loss: 162.1952 - logcount_predictions_loss: 0.1509 36/697 [>.............................] - ETA: 1:40 - loss: 162.9724 - logits_profile_predictions_loss: 162.1576 - logcount_predictions_loss: 0.1509 37/697 [>.............................] - ETA: 1:40 - loss: 162.9347 - logits_profile_predictions_loss: 162.1206 - logcount_predictions_loss: 0.1508 38/697 [>.............................] - ETA: 1:40 - loss: 162.9014 - logits_profile_predictions_loss: 162.0877 - logcount_predictions_loss: 0.1507 39/697 [>.............................] - ETA: 1:39 - loss: 162.8736 - logits_profile_predictions_loss: 162.0606 - logcount_predictions_loss: 0.1506 40/697 [>.............................] - ETA: 1:39 - loss: 162.8441 - logits_profile_predictions_loss: 162.0315 - logcount_predictions_loss: 0.1505 41/697 [>.............................] - ETA: 1:39 - loss: 162.8208 - logits_profile_predictions_loss: 162.0086 - logcount_predictions_loss: 0.1504 42/697 [>.............................] - ETA: 1:39 - loss: 162.8018 - logits_profile_predictions_loss: 161.9902 - logcount_predictions_loss: 0.1503 43/697 [>.............................] - ETA: 1:39 - loss: 162.7800 - logits_profile_predictions_loss: 161.9688 - logcount_predictions_loss: 0.1502 44/697 [>.............................] - ETA: 1:39 - loss: 162.7559 - logits_profile_predictions_loss: 161.9452 - logcount_predictions_loss: 0.1501 45/697 [>.............................] - ETA: 1:38 - loss: 162.7294 - logits_profile_predictions_loss: 161.9190 - logcount_predictions_loss: 0.1501 46/697 [>.............................] - ETA: 1:38 - loss: 162.7059 - logits_profile_predictions_loss: 161.8959 - logcount_predictions_loss: 0.1500 47/697 [=>............................] - ETA: 1:38 - loss: 162.6872 - logits_profile_predictions_loss: 161.8774 - logcount_predictions_loss: 0.1500 48/697 [=>............................] - ETA: 1:38 - loss: 162.6682 - logits_profile_predictions_loss: 161.8585 - logcount_predictions_loss: 0.1499 49/697 [=>............................] - ETA: 1:38 - loss: 162.6467 - logits_profile_predictions_loss: 161.8369 - logcount_predictions_loss: 0.1499 50/697 [=>............................] - ETA: 1:38 - loss: 162.6248 - logits_profile_predictions_loss: 161.8150 - logcount_predictions_loss: 0.1499 51/697 [=>............................] - ETA: 1:38 - loss: 162.6073 - logits_profile_predictions_loss: 161.7977 - logcount_predictions_loss: 0.1499 52/697 [=>............................] - ETA: 1:38 - loss: 162.5908 - logits_profile_predictions_loss: 161.7811 - logcount_predictions_loss: 0.1499 53/697 [=>............................] - ETA: 1:37 - loss: 162.5740 - logits_profile_predictions_loss: 161.7642 - logcount_predictions_loss: 0.1500 54/697 [=>............................] - ETA: 1:37 - loss: 162.5595 - logits_profile_predictions_loss: 161.7495 - logcount_predictions_loss: 0.1500 55/697 [=>............................] - ETA: 1:37 - loss: 162.5478 - logits_profile_predictions_loss: 161.7376 - logcount_predictions_loss: 0.1500 56/697 [=>............................] - ETA: 1:37 - loss: 162.5325 - logits_profile_predictions_loss: 161.7221 - logcount_predictions_loss: 0.1501 57/697 [=>............................] - ETA: 1:37 - loss: 162.5183 - logits_profile_predictions_loss: 161.7078 - logcount_predictions_loss: 0.1501 58/697 [=>............................] - ETA: 1:37 - loss: 162.5081 - logits_profile_predictions_loss: 161.6974 - logcount_predictions_loss: 0.1501 59/697 [=>............................] - ETA: 1:37 - loss: 162.4952 - logits_profile_predictions_loss: 161.6841 - logcount_predictions_loss: 0.1502 60/697 [=>............................] - ETA: 1:36 - loss: 162.4813 - logits_profile_predictions_loss: 161.6699 - logcount_predictions_loss: 0.1503 61/697 [=>............................] - ETA: 1:36 - loss: 162.4634 - logits_profile_predictions_loss: 161.6517 - logcount_predictions_loss: 0.1503 62/697 [=>............................] - ETA: 1:36 - loss: 162.4466 - logits_profile_predictions_loss: 161.6346 - logcount_predictions_loss: 0.1504 63/697 [=>............................] - ETA: 1:36 - loss: 162.4309 - logits_profile_predictions_loss: 161.6187 - logcount_predictions_loss: 0.1504 64/697 [=>............................] - ETA: 1:36 - loss: 162.4165 - logits_profile_predictions_loss: 161.6039 - logcount_predictions_loss: 0.1505 65/697 [=>............................] - ETA: 1:36 - loss: 162.4043 - logits_profile_predictions_loss: 161.5913 - logcount_predictions_loss: 0.1506 66/697 [=>............................] - ETA: 1:35 - loss: 162.3936 - logits_profile_predictions_loss: 161.5803 - logcount_predictions_loss: 0.1506 67/697 [=>............................] - ETA: 1:35 - loss: 162.3811 - logits_profile_predictions_loss: 161.5673 - logcount_predictions_loss: 0.1507 68/697 [=>............................] - ETA: 1:35 - loss: 162.3687 - logits_profile_predictions_loss: 161.5547 - logcount_predictions_loss: 0.1508 69/697 [=>............................] - ETA: 1:35 - loss: 162.3566 - logits_profile_predictions_loss: 161.5422 - logcount_predictions_loss: 0.1508 70/697 [==>...........................] - ETA: 1:35 - loss: 162.3463 - logits_profile_predictions_loss: 161.5315 - logcount_predictions_loss: 0.1509 71/697 [==>...........................] - ETA: 1:35 - loss: 162.3310 - logits_profile_predictions_loss: 161.5158 - logcount_predictions_loss: 0.1510 72/697 [==>...........................] - ETA: 1:34 - loss: 162.3180 - logits_profile_predictions_loss: 161.5024 - logcount_predictions_loss: 0.1510 73/697 [==>...........................] - ETA: 1:34 - loss: 162.3069 - logits_profile_predictions_loss: 161.4908 - logcount_predictions_loss: 0.1511 74/697 [==>...........................] - ETA: 1:34 - loss: 162.2968 - logits_profile_predictions_loss: 161.4804 - logcount_predictions_loss: 0.1512 75/697 [==>...........................] - ETA: 1:34 - loss: 162.2869 - logits_profile_predictions_loss: 161.4700 - logcount_predictions_loss: 0.1513 76/697 [==>...........................] - ETA: 1:34 - loss: 162.2757 - logits_profile_predictions_loss: 161.4585 - logcount_predictions_loss: 0.1513 77/697 [==>...........................] - ETA: 1:34 - loss: 162.2671 - logits_profile_predictions_loss: 161.4496 - logcount_predictions_loss: 0.1514 78/697 [==>...........................] - ETA: 1:34 - loss: 162.2588 - logits_profile_predictions_loss: 161.4409 - logcount_predictions_loss: 0.1515 79/697 [==>...........................] - ETA: 1:33 - loss: 162.2498 - logits_profile_predictions_loss: 161.4315 - logcount_predictions_loss: 0.1515 80/697 [==>...........................] - ETA: 1:33 - loss: 162.2396 - logits_profile_predictions_loss: 161.4210 - logcount_predictions_loss: 0.1516 81/697 [==>...........................] - ETA: 1:33 - loss: 162.2291 - logits_profile_predictions_loss: 161.4102 - logcount_predictions_loss: 0.1517 82/697 [==>...........................] - ETA: 1:33 - loss: 162.2190 - logits_profile_predictions_loss: 161.3998 - logcount_predictions_loss: 0.1517 83/697 [==>...........................] - ETA: 1:33 - loss: 162.2095 - logits_profile_predictions_loss: 161.3900 - logcount_predictions_loss: 0.1518 84/697 [==>...........................] - ETA: 1:33 - loss: 162.1987 - logits_profile_predictions_loss: 161.3789 - logcount_predictions_loss: 0.1518 85/697 [==>...........................] - ETA: 1:32 - loss: 162.1900 - logits_profile_predictions_loss: 161.3700 - logcount_predictions_loss: 0.1519 86/697 [==>...........................] - ETA: 1:32 - loss: 162.1794 - logits_profile_predictions_loss: 161.3592 - logcount_predictions_loss: 0.1519 87/697 [==>...........................] - ETA: 1:32 - loss: 162.1706 - logits_profile_predictions_loss: 161.3501 - logcount_predictions_loss: 0.1519 88/697 [==>...........................] - ETA: 1:32 - loss: 162.1613 - logits_profile_predictions_loss: 161.3406 - logcount_predictions_loss: 0.1520 89/697 [==>...........................] - ETA: 1:32 - loss: 162.1526 - logits_profile_predictions_loss: 161.3317 - logcount_predictions_loss: 0.1520 90/697 [==>...........................] - ETA: 1:32 - loss: 162.1447 - logits_profile_predictions_loss: 161.3236 - logcount_predictions_loss: 0.1521 91/697 [==>...........................] - ETA: 1:32 - loss: 162.1351 - logits_profile_predictions_loss: 161.3138 - logcount_predictions_loss: 0.1521 92/697 [==>...........................] - ETA: 1:31 - loss: 162.1273 - logits_profile_predictions_loss: 161.3058 - logcount_predictions_loss: 0.1521 93/697 [===>..........................] - ETA: 1:31 - loss: 162.1193 - logits_profile_predictions_loss: 161.2976 - logcount_predictions_loss: 0.1522 94/697 [===>..........................] - ETA: 1:31 - loss: 162.1108 - logits_profile_predictions_loss: 161.2889 - logcount_predictions_loss: 0.1522 95/697 [===>..........................] - ETA: 1:31 - loss: 162.1029 - logits_profile_predictions_loss: 161.2808 - logcount_predictions_loss: 0.1522 96/697 [===>..........................] - ETA: 1:31 - loss: 162.0969 - logits_profile_predictions_loss: 161.2746 - logcount_predictions_loss: 0.1523 97/697 [===>..........................] - ETA: 1:31 - loss: 162.0897 - logits_profile_predictions_loss: 161.2673 - logcount_predictions_loss: 0.1523 98/697 [===>..........................] - ETA: 1:30 - loss: 162.0821 - logits_profile_predictions_loss: 161.2595 - logcount_predictions_loss: 0.1523 99/697 [===>..........................] - ETA: 1:30 - loss: 162.0744 - logits_profile_predictions_loss: 161.2517 - logcount_predictions_loss: 0.1523 100/697 [===>..........................] - ETA: 1:30 - loss: 162.0664 - logits_profile_predictions_loss: 161.2436 - logcount_predictions_loss: 0.1524 101/697 [===>..........................] - ETA: 1:30 - loss: 162.0596 - logits_profile_predictions_loss: 161.2366 - logcount_predictions_loss: 0.1524 102/697 [===>..........................] - ETA: 1:30 - loss: 162.0531 - logits_profile_predictions_loss: 161.2301 - logcount_predictions_loss: 0.1524 103/697 [===>..........................] - ETA: 1:30 - loss: 162.0469 - logits_profile_predictions_loss: 161.2237 - logcount_predictions_loss: 0.1524 104/697 [===>..........................] - ETA: 1:30 - loss: 162.0408 - logits_profile_predictions_loss: 161.2175 - logcount_predictions_loss: 0.1525 105/697 [===>..........................] - ETA: 1:29 - loss: 162.0338 - logits_profile_predictions_loss: 161.2105 - logcount_predictions_loss: 0.1525 106/697 [===>..........................] - ETA: 1:29 - loss: 162.0262 - logits_profile_predictions_loss: 161.2028 - logcount_predictions_loss: 0.1525 107/697 [===>..........................] - ETA: 1:29 - loss: 162.0183 - logits_profile_predictions_loss: 161.1947 - logcount_predictions_loss: 0.1525 108/697 [===>..........................] - ETA: 1:29 - loss: 162.0094 - logits_profile_predictions_loss: 161.1858 - logcount_predictions_loss: 0.1525 109/697 [===>..........................] - ETA: 1:29 - loss: 161.9996 - logits_profile_predictions_loss: 161.1759 - logcount_predictions_loss: 0.1525 110/697 [===>..........................] - ETA: 1:29 - loss: 161.9895 - logits_profile_predictions_loss: 161.1657 - logcount_predictions_loss: 0.1525 111/697 [===>..........................] - ETA: 1:28 - loss: 161.9787 - logits_profile_predictions_loss: 161.1548 - logcount_predictions_loss: 0.1526 112/697 [===>..........................] - ETA: 1:28 - loss: 161.9672 - logits_profile_predictions_loss: 161.1433 - logcount_predictions_loss: 0.1526 113/697 [===>..........................] - ETA: 1:28 - loss: 161.9556 - logits_profile_predictions_loss: 161.1315 - logcount_predictions_loss: 0.1526 114/697 [===>..........................] - ETA: 1:28 - loss: 161.9443 - logits_profile_predictions_loss: 161.1202 - logcount_predictions_loss: 0.1526 115/697 [===>..........................] - ETA: 1:28 - loss: 161.9330 - logits_profile_predictions_loss: 161.1088 - logcount_predictions_loss: 0.1526 116/697 [===>..........................] - ETA: 1:28 - loss: 161.9217 - logits_profile_predictions_loss: 161.0974 - logcount_predictions_loss: 0.1526 117/697 [====>.........................] - ETA: 1:28 - loss: 161.9111 - logits_profile_predictions_loss: 161.0867 - logcount_predictions_loss: 0.1527 118/697 [====>.........................] - ETA: 1:27 - loss: 161.9004 - logits_profile_predictions_loss: 161.0759 - logcount_predictions_loss: 0.1527 119/697 [====>.........................] - ETA: 1:27 - loss: 161.8895 - logits_profile_predictions_loss: 161.0649 - logcount_predictions_loss: 0.1527 120/697 [====>.........................] - ETA: 1:27 - loss: 161.8782 - logits_profile_predictions_loss: 161.0535 - logcount_predictions_loss: 0.1527 121/697 [====>.........................] - ETA: 1:27 - loss: 161.8675 - logits_profile_predictions_loss: 161.0427 - logcount_predictions_loss: 0.1527 122/697 [====>.........................] - ETA: 1:27 - loss: 161.8554 - logits_profile_predictions_loss: 161.0305 - logcount_predictions_loss: 0.1528 123/697 [====>.........................] - ETA: 1:27 - loss: 161.8431 - logits_profile_predictions_loss: 161.0181 - logcount_predictions_loss: 0.1528 124/697 [====>.........................] - ETA: 1:26 - loss: 161.8309 - logits_profile_predictions_loss: 161.0058 - logcount_predictions_loss: 0.1528 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[========================>.....] - ETA: 14s - loss: 158.8161 - logits_profile_predictions_loss: 158.0076 - logcount_predictions_loss: 0.1497 603/697 [========================>.....] - ETA: 14s - loss: 158.8165 - logits_profile_predictions_loss: 158.0080 - logcount_predictions_loss: 0.1497 604/697 [========================>.....] - ETA: 14s - loss: 158.8168 - logits_profile_predictions_loss: 158.0084 - logcount_predictions_loss: 0.1497 605/697 [=========================>....] - ETA: 13s - loss: 158.8172 - logits_profile_predictions_loss: 158.0088 - logcount_predictions_loss: 0.1497 606/697 [=========================>....] - ETA: 13s - loss: 158.8176 - logits_profile_predictions_loss: 158.0092 - logcount_predictions_loss: 0.1497 607/697 [=========================>....] - ETA: 13s - loss: 158.8179 - logits_profile_predictions_loss: 158.0095 - logcount_predictions_loss: 0.1497 608/697 [=========================>....] - ETA: 13s - loss: 158.8183 - logits_profile_predictions_loss: 158.0098 - logcount_predictions_loss: 0.1497 609/697 [=========================>....] - ETA: 13s - loss: 158.8186 - logits_profile_predictions_loss: 158.0102 - logcount_predictions_loss: 0.1497 610/697 [=========================>....] - ETA: 13s - loss: 158.8189 - logits_profile_predictions_loss: 158.0105 - logcount_predictions_loss: 0.1497 611/697 [=========================>....] - ETA: 13s - loss: 158.8193 - logits_profile_predictions_loss: 158.0109 - logcount_predictions_loss: 0.1497 612/697 [=========================>....] - ETA: 12s - loss: 158.8196 - logits_profile_predictions_loss: 158.0112 - logcount_predictions_loss: 0.1497 613/697 [=========================>....] - ETA: 12s - loss: 158.8200 - logits_profile_predictions_loss: 158.0116 - logcount_predictions_loss: 0.1497 614/697 [=========================>....] - ETA: 12s - loss: 158.8204 - logits_profile_predictions_loss: 158.0120 - logcount_predictions_loss: 0.1497 615/697 [=========================>....] - ETA: 12s - loss: 158.8208 - logits_profile_predictions_loss: 158.0124 - logcount_predictions_loss: 0.1497 616/697 [=========================>....] - ETA: 12s - loss: 158.8211 - logits_profile_predictions_loss: 158.0128 - logcount_predictions_loss: 0.1497 617/697 [=========================>....] - ETA: 12s - loss: 158.8215 - logits_profile_predictions_loss: 158.0131 - logcount_predictions_loss: 0.1497 618/697 [=========================>....] - ETA: 11s - loss: 158.8219 - logits_profile_predictions_loss: 158.0135 - logcount_predictions_loss: 0.1497 619/697 [=========================>....] - ETA: 11s - loss: 158.8223 - logits_profile_predictions_loss: 158.0139 - logcount_predictions_loss: 0.1497 620/697 [=========================>....] - ETA: 11s - loss: 158.8227 - logits_profile_predictions_loss: 158.0143 - logcount_predictions_loss: 0.1497 621/697 [=========================>....] - ETA: 11s - loss: 158.8230 - logits_profile_predictions_loss: 158.0147 - logcount_predictions_loss: 0.1497 622/697 [=========================>....] - ETA: 11s - loss: 158.8234 - logits_profile_predictions_loss: 158.0150 - logcount_predictions_loss: 0.1497 623/697 [=========================>....] - ETA: 11s - loss: 158.8238 - logits_profile_predictions_loss: 158.0154 - logcount_predictions_loss: 0.1497 624/697 [=========================>....] - ETA: 11s - loss: 158.8242 - logits_profile_predictions_loss: 158.0158 - logcount_predictions_loss: 0.1497 625/697 [=========================>....] - ETA: 10s - loss: 158.8245 - logits_profile_predictions_loss: 158.0162 - logcount_predictions_loss: 0.1497 626/697 [=========================>....] - ETA: 10s - loss: 158.8249 - logits_profile_predictions_loss: 158.0165 - logcount_predictions_loss: 0.1497 627/697 [=========================>....] - ETA: 10s - loss: 158.8252 - logits_profile_predictions_loss: 158.0169 - logcount_predictions_loss: 0.1497 628/697 [==========================>...] - ETA: 10s - loss: 158.8256 - logits_profile_predictions_loss: 158.0172 - logcount_predictions_loss: 0.1497 629/697 [==========================>...] - ETA: 10s - loss: 158.8259 - logits_profile_predictions_loss: 158.0176 - logcount_predictions_loss: 0.1497 630/697 [==========================>...] - ETA: 10s - loss: 158.8262 - logits_profile_predictions_loss: 158.0179 - logcount_predictions_loss: 0.1497 631/697 [==========================>...] - ETA: 9s - loss: 158.8266 - logits_profile_predictions_loss: 158.0182 - logcount_predictions_loss: 0.1497  632/697 [==========================>...] - ETA: 9s - loss: 158.8269 - logits_profile_predictions_loss: 158.0186 - logcount_predictions_loss: 0.1497 633/697 [==========================>...] - ETA: 9s - loss: 158.8273 - logits_profile_predictions_loss: 158.0189 - logcount_predictions_loss: 0.1497 634/697 [==========================>...] - ETA: 9s - loss: 158.8276 - logits_profile_predictions_loss: 158.0193 - logcount_predictions_loss: 0.1497 635/697 [==========================>...] - ETA: 9s - loss: 158.8280 - logits_profile_predictions_loss: 158.0196 - logcount_predictions_loss: 0.1497 636/697 [==========================>...] - ETA: 9s - loss: 158.8283 - logits_profile_predictions_loss: 158.0200 - logcount_predictions_loss: 0.1497 637/697 [==========================>...] - ETA: 9s - loss: 158.8286 - logits_profile_predictions_loss: 158.0203 - logcount_predictions_loss: 0.1497 638/697 [==========================>...] - ETA: 8s - loss: 158.8289 - logits_profile_predictions_loss: 158.0206 - logcount_predictions_loss: 0.1497 639/697 [==========================>...] - ETA: 8s - loss: 158.8293 - logits_profile_predictions_loss: 158.0209 - logcount_predictions_loss: 0.1497 640/697 [==========================>...] - ETA: 8s - loss: 158.8296 - logits_profile_predictions_loss: 158.0213 - logcount_predictions_loss: 0.1497 641/697 [==========================>...] - ETA: 8s - loss: 158.8299 - logits_profile_predictions_loss: 158.0216 - logcount_predictions_loss: 0.1497 642/697 [==========================>...] - ETA: 8s - loss: 158.8303 - logits_profile_predictions_loss: 158.0219 - logcount_predictions_loss: 0.1497 643/697 [==========================>...] - ETA: 8s - loss: 158.8306 - logits_profile_predictions_loss: 158.0223 - logcount_predictions_loss: 0.1497 644/697 [==========================>...] - ETA: 8s - loss: 158.8309 - logits_profile_predictions_loss: 158.0226 - logcount_predictions_loss: 0.1497 645/697 [==========================>...] - ETA: 7s - loss: 158.8312 - logits_profile_predictions_loss: 158.0228 - logcount_predictions_loss: 0.1497 646/697 [==========================>...] - ETA: 7s - loss: 158.8314 - logits_profile_predictions_loss: 158.0231 - logcount_predictions_loss: 0.1497 647/697 [==========================>...] - ETA: 7s - loss: 158.8316 - logits_profile_predictions_loss: 158.0233 - logcount_predictions_loss: 0.1497 648/697 [==========================>...] - ETA: 7s - loss: 158.8319 - logits_profile_predictions_loss: 158.0236 - logcount_predictions_loss: 0.1497 649/697 [==========================>...] - ETA: 7s - loss: 158.8322 - logits_profile_predictions_loss: 158.0239 - logcount_predictions_loss: 0.1497 650/697 [==========================>...] - ETA: 7s - loss: 158.8325 - logits_profile_predictions_loss: 158.0242 - logcount_predictions_loss: 0.1497 651/697 [===========================>..] - ETA: 6s - loss: 158.8328 - logits_profile_predictions_loss: 158.0245 - logcount_predictions_loss: 0.1497 652/697 [===========================>..] - ETA: 6s - loss: 158.8331 - logits_profile_predictions_loss: 158.0247 - logcount_predictions_loss: 0.1497 653/697 [===========================>..] - ETA: 6s - loss: 158.8333 - logits_profile_predictions_loss: 158.0250 - logcount_predictions_loss: 0.1497 654/697 [===========================>..] - ETA: 6s - loss: 158.8336 - logits_profile_predictions_loss: 158.0253 - logcount_predictions_loss: 0.1497 655/697 [===========================>..] - ETA: 6s - loss: 158.8339 - logits_profile_predictions_loss: 158.0256 - logcount_predictions_loss: 0.1497 656/697 [===========================>..] - ETA: 6s - loss: 158.8342 - logits_profile_predictions_loss: 158.0259 - logcount_predictions_loss: 0.1497 657/697 [===========================>..] - ETA: 6s - loss: 158.8346 - logits_profile_predictions_loss: 158.0263 - logcount_predictions_loss: 0.1497 658/697 [===========================>..] - ETA: 5s - loss: 158.8349 - logits_profile_predictions_loss: 158.0266 - logcount_predictions_loss: 0.1497 659/697 [===========================>..] - ETA: 5s - loss: 158.8352 - logits_profile_predictions_loss: 158.0269 - logcount_predictions_loss: 0.1497 660/697 [===========================>..] - ETA: 5s - loss: 158.8355 - logits_profile_predictions_loss: 158.0272 - logcount_predictions_loss: 0.1497 661/697 [===========================>..] - ETA: 5s - loss: 158.8359 - logits_profile_predictions_loss: 158.0276 - logcount_predictions_loss: 0.1497 662/697 [===========================>..] - ETA: 5s - loss: 158.8362 - logits_profile_predictions_loss: 158.0279 - logcount_predictions_loss: 0.1497 663/697 [===========================>..] - ETA: 5s - loss: 158.8366 - logits_profile_predictions_loss: 158.0283 - logcount_predictions_loss: 0.1497 664/697 [===========================>..] - ETA: 4s - loss: 158.8369 - logits_profile_predictions_loss: 158.0286 - logcount_predictions_loss: 0.1497 665/697 [===========================>..] - ETA: 4s - loss: 158.8372 - logits_profile_predictions_loss: 158.0290 - logcount_predictions_loss: 0.1497 666/697 [===========================>..] - ETA: 4s - loss: 158.8376 - logits_profile_predictions_loss: 158.0293 - logcount_predictions_loss: 0.1497 667/697 [===========================>..] - ETA: 4s - loss: 158.8379 - logits_profile_predictions_loss: 158.0296 - logcount_predictions_loss: 0.1497 668/697 [===========================>..] - ETA: 4s - loss: 158.8382 - logits_profile_predictions_loss: 158.0300 - logcount_predictions_loss: 0.1497 669/697 [===========================>..] - ETA: 4s - loss: 158.8385 - logits_profile_predictions_loss: 158.0302 - logcount_predictions_loss: 0.1497 670/697 [===========================>..] - ETA: 4s - loss: 158.8389 - logits_profile_predictions_loss: 158.0306 - logcount_predictions_loss: 0.1497 671/697 [===========================>..] - ETA: 3s - loss: 158.8392 - logits_profile_predictions_loss: 158.0309 - logcount_predictions_loss: 0.1497 672/697 [===========================>..] - ETA: 3s - loss: 158.8395 - logits_profile_predictions_loss: 158.0312 - logcount_predictions_loss: 0.1497 673/697 [===========================>..] - ETA: 3s - loss: 158.8398 - logits_profile_predictions_loss: 158.0315 - logcount_predictions_loss: 0.1497 674/697 [============================>.] - ETA: 3s - loss: 158.8401 - logits_profile_predictions_loss: 158.0318 - logcount_predictions_loss: 0.1497 675/697 [============================>.] - ETA: 3s - loss: 158.8404 - logits_profile_predictions_loss: 158.0321 - logcount_predictions_loss: 0.1497 676/697 [============================>.] - ETA: 3s - loss: 158.8407 - logits_profile_predictions_loss: 158.0324 - logcount_predictions_loss: 0.1497 677/697 [============================>.] - ETA: 3s - loss: 158.8410 - logits_profile_predictions_loss: 158.0327 - logcount_predictions_loss: 0.1497 678/697 [============================>.] - ETA: 2s - loss: 158.8412 - logits_profile_predictions_loss: 158.0330 - logcount_predictions_loss: 0.1497 679/697 [============================>.] - ETA: 2s - loss: 158.8415 - logits_profile_predictions_loss: 158.0332 - logcount_predictions_loss: 0.1497 680/697 [============================>.] - ETA: 2s - loss: 158.8417 - logits_profile_predictions_loss: 158.0335 - logcount_predictions_loss: 0.1497 681/697 [============================>.] - ETA: 2s - loss: 158.8420 - logits_profile_predictions_loss: 158.0338 - logcount_predictions_loss: 0.1497 682/697 [============================>.] - ETA: 2s - loss: 158.8423 - logits_profile_predictions_loss: 158.0340 - logcount_predictions_loss: 0.1497 683/697 [============================>.] - ETA: 2s - loss: 158.8426 - logits_profile_predictions_loss: 158.0343 - logcount_predictions_loss: 0.1497 684/697 [============================>.] - ETA: 1s - loss: 158.8429 - logits_profile_predictions_loss: 158.0346 - logcount_predictions_loss: 0.1497 685/697 [============================>.] - ETA: 1s - loss: 158.8432 - logits_profile_predictions_loss: 158.0349 - logcount_predictions_loss: 0.1497 686/697 [============================>.] - ETA: 1s - loss: 158.8435 - logits_profile_predictions_loss: 158.0352 - logcount_predictions_loss: 0.1497 687/697 [============================>.] - ETA: 1s - loss: 158.8438 - logits_profile_predictions_loss: 158.0356 - logcount_predictions_loss: 0.1497 688/697 [============================>.] - ETA: 1s - loss: 158.8441 - logits_profile_predictions_loss: 158.0359 - logcount_predictions_loss: 0.1497 689/697 [============================>.] - ETA: 1s - loss: 158.8445 - logits_profile_predictions_loss: 158.0362 - logcount_predictions_loss: 0.1497 690/697 [============================>.] - ETA: 1s - loss: 158.8448 - logits_profile_predictions_loss: 158.0366 - logcount_predictions_loss: 0.1497 691/697 [============================>.] - ETA: 0s - loss: 158.8452 - logits_profile_predictions_loss: 158.0369 - logcount_predictions_loss: 0.1497 692/697 [============================>.] - ETA: 0s - loss: 158.8455 - logits_profile_predictions_loss: 158.0373 - logcount_predictions_loss: 0.1497 693/697 [============================>.] - ETA: 0s - loss: 158.8459 - logits_profile_predictions_loss: 158.0377 - logcount_predictions_loss: 0.1497 694/697 [============================>.] - ETA: 0s - loss: 158.8463 - logits_profile_predictions_loss: 158.0381 - logcount_predictions_loss: 0.1497 695/697 [============================>.] - ETA: 0s - loss: 158.8467 - logits_profile_predictions_loss: 158.0385 - logcount_predictions_loss: 0.1497 696/697 [============================>.] - ETA: 0s - loss: 158.8471 - logits_profile_predictions_loss: 158.0388 - logcount_predictions_loss: 0.1497 697/697 [==============================] - ETA: 0s - loss: 158.8474 - logits_profile_predictions_loss: 158.0392 - logcount_predictions_loss: 0.1497 697/697 [==============================] - 110s 158ms/step - loss: 158.8478 - logits_profile_predictions_loss: 158.0396 - logcount_predictions_loss: 0.1497 - val_loss: 172.3159 - val_logits_profile_predictions_loss: 171.4539 - val_logcount_predictions_loss: 0.1596 + +Epoch 00013: val_loss did not improve from 169.98253 +Restoring model weights from the end of the best epoch. +Epoch 00013: early stopping +save model +save model without bias +2022-09-22_23-33-59: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(11541, 10) +loading nonpeaks... +got split:test for bed regions:(11124, 10) +0/89 +2022-09-22_23-35-16: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(11541, 10) +loading nonpeaks... +got split:test for bed regions:(11124, 10) +0/89 +2022-09-22_23-36-28: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_3//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(11541, 10) +loading nonpeaks... +got split:test for bed regions:(11124, 10) +0/89 +2022-09-22_23-37-17: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_23-37-17: 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/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:04 3/11 [=======>......................] - ETA: 2s  4/11 [=========>....................] - ETA: 3s 5/11 [============>.................] - ETA: 2s 6/11 [===============>..............] - ETA: 2s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 16s 965ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 684ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 5s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 7s 681ms/step +Saving marginal footprints +2022-09-22_23-38-46: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//footprints +2022-09-22_23-38-46: 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/ENCSR609GST//chrombpnet_model_feb15_fold_3//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_3//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 29s 3/11 [=======>......................] - ETA: 0s  4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 4s 84ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 4/11 [=========>....................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 6/11 [===============>..............] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 8/11 [====================>.........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 59ms/step +Saving marginal footprints diff --git a/fold_3/model.bias_scaled.fold_3.ENCSR609GST.h5 b/fold_3/model.bias_scaled.fold_3.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..73d16309959f7c7a23ce103bfbe59b2d16385e3e --- /dev/null +++ b/fold_3/model.bias_scaled.fold_3.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2938a999026d20fadfe3794cf096697fd3e351b5af5af5bd3cea66ba961439a1 +size 2688440 diff --git a/fold_3/model.bias_scaled.fold_3.ENCSR609GST.tar b/fold_3/model.bias_scaled.fold_3.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..50940f97a96f71ab9dcf710c78335f6eabca14b4 --- /dev/null +++ b/fold_3/model.bias_scaled.fold_3.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf44f57f54591edca3e8e45da4898a6638ae1f970a0d05c2913334565e9e78d3 +size 1198080 diff --git a/fold_3/model.chrombpnet.fold_3.ENCSR609GST.h5 b/fold_3/model.chrombpnet.fold_3.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..a363d80b468e4e60ceb3e2260627e203e48ec85f --- /dev/null +++ b/fold_3/model.chrombpnet.fold_3.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d36f2f17493acb0a0bd602630ab01449716162ddd8dbd407391a2ca124a76bea +size 26447928 diff --git a/fold_3/model.chrombpnet.fold_3.ENCSR609GST.tar b/fold_3/model.chrombpnet.fold_3.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..868778d96cad10efc1a1067005a62ba994ce5605 --- /dev/null +++ b/fold_3/model.chrombpnet.fold_3.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e53119aff95aa159bf978ecf277db98ea4a325cf0f5c75637d901b48ec8e00d6 +size 27607040 diff --git a/fold_3/model.chrombpnet_nobias.fold_3.ENCSR609GST.h5 b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR609GST.h5 new file mode 100644 index 0000000000000000000000000000000000000000..75e1012d3f94bcea57823f53221ea0d890234810 --- /dev/null +++ b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR609GST.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a651f6a02216a38ea9824558968c9be8403a9d46a4d6e013f08d48dddc44b8a7 +size 25583536 diff --git a/fold_3/model.chrombpnet_nobias.fold_3.ENCSR609GST.tar b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR609GST.tar new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c8210b260d50e328f8d8bc5b592407ce29e5 --- /dev/null +++ b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR609GST.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d8b932c8d449bb21751278b100fb28dec47379ee7de2dbded31facfbc92c80e +size 26081280 diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.args.json b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.args.json new file mode 100644 index 0000000000000000000000000000000000000000..49356a35cfaeb239224da92a11ae1119c9225d54 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.batch_loss.tsv b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..8e27e3cad1970bf8d555d1abb26594ff256f1bdb --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.batch_loss.tsv @@ -0,0 +1,7866 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 0.8604331016540527 177.96493530273438 173.40463256835938 None None None +0 1 322.0052185058594 1884.1707763671875 177.54299926757812 None None None +0 2 215.05809020996094 1318.9881591796875 179.1802978515625 None None None +0 3 161.5388641357422 1033.83154296875 177.67544555664062 None None None +0 4 129.4617156982422 864.3919677734375 178.24484252929688 None None None +0 5 108.06421661376953 750.201904296875 177.4614715576172 None None None +0 6 92.78864288330078 667.4580688476562 175.67820739746094 None None None +0 7 81.31505584716797 605.2164916992188 174.2466583251953 None None None +0 8 72.40901184082031 557.7454223632812 173.97764587402344 None None None +0 9 65.27730560302734 519.9514770507812 173.98171997070312 None None None +0 10 59.422874450683594 487.9847412109375 173.0435028076172 None None None +0 11 54.55036544799805 461.422607421875 172.3057098388672 None None None +0 12 50.43109130859375 438.9550476074219 171.67030334472656 None None None +0 13 46.90062713623047 419.90179443359375 171.32850646972656 None None None +0 14 43.83073806762695 402.4187316894531 170.11587524414062 None None None +0 15 41.14357376098633 387.46771240234375 169.40682983398438 None None None +0 16 38.789852142333984 375.6045837402344 170.01841735839844 None None None +0 17 36.69951248168945 364.8582763671875 170.35089111328125 None None None +0 18 34.81122970581055 354.15399169921875 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0.1387205868959427 159.05416870117188 158.31883239746094 None None None +10 663 0.13870425522327423 159.06417846679688 158.32891845703125 None None None +10 664 0.13872088491916656 159.06637573242188 158.33102416992188 None None None +10 665 0.13870802521705627 159.0654296875 158.3301544189453 None None None +10 666 0.1387001872062683 159.05970764160156 158.32447814941406 None None None +10 667 0.13863174617290497 159.07095336914062 158.33609008789062 None None None +10 668 0.13858981430530548 159.07028198242188 158.33563232421875 None None None +10 669 0.13854172825813293 159.09371948242188 158.35934448242188 None None None +10 670 0.1384970098733902 159.09286499023438 158.3587188720703 None None None +10 671 0.13850024342536926 159.08648681640625 158.35232543945312 None None None +10 672 0.1385572999715805 159.08888244628906 158.3544158935547 None None None +10 673 0.13847902417182922 159.09878540039062 158.36473083496094 None None None +10 674 0.13845929503440857 159.09730529785156 158.36337280273438 None None None +10 675 0.13846683502197266 159.10487365722656 158.3708953857422 None None None +10 676 0.13852371275424957 159.08590698242188 158.35162353515625 None None None +10 677 0.13850460946559906 159.07620239257812 158.34201049804688 None None None +10 678 0.1384858787059784 159.0897216796875 158.3556365966797 None None None +10 679 0.13845215737819672 159.1004638671875 158.36656188964844 None None None +10 680 0.13856548070907593 159.0889892578125 158.3544921875 None None None +10 681 0.13849717378616333 159.09487915039062 158.36073303222656 None None None +10 682 0.13841529190540314 159.0877685546875 158.35406494140625 None None None +10 683 0.13840512931346893 159.07337951660156 158.3397216796875 None None None +10 684 0.1383623331785202 159.09423828125 158.36080932617188 None None None +10 685 0.1383417546749115 159.0864715576172 158.3531494140625 None None None +10 686 0.1383991688489914 159.08633422851562 158.3527069091797 None None None +10 687 0.13836151361465454 159.08596801757812 158.3525390625 None None None +10 688 0.13830728828907013 159.08522033691406 158.35206604003906 None None None +10 689 0.13835269212722778 159.08041381835938 158.34703063964844 None None None +10 690 0.1383381336927414 159.08062744140625 158.34732055664062 None None None +10 691 0.13839660584926605 159.0762481689453 158.34263610839844 None None None +10 692 0.13852785527706146 159.0725860595703 158.33827209472656 None None None +10 693 0.1385371834039688 159.0961151123047 158.3617401123047 None None None +10 694 0.13856399059295654 159.12075805664062 158.38624572753906 None None None +10 695 0.138522207736969 159.12144470214844 158.3871612548828 None None None +10 696 0.1385055035352707 159.11404418945312 158.3798370361328 None None None +10 697 0.13851411640644073 159.115478515625 158.3812255859375 None None None +10 698 0.1384509950876236 159.11260986328125 158.37869262695312 None None None +10 699 0.13843116164207458 159.13192749023438 158.39813232421875 None None None +10 700 0.13838353753089905 159.1439666748047 158.41043090820312 None None None +10 701 0.13833604753017426 159.1583709716797 158.42507934570312 None None None +10 702 0.13826726377010345 159.1682586669922 158.43533325195312 None None None +10 703 0.13830240070819855 159.179443359375 158.4463348388672 None None None +10 704 0.13826137781143188 159.18150329589844 158.4486083984375 None None None +10 705 0.13823843002319336 159.18385314941406 158.45108032226562 None None None +10 706 0.13819195330142975 159.16046142578125 158.4279327392578 None None None +10 707 0.13817913830280304 159.143798828125 158.41134643554688 None None None +10 708 0.13809271156787872 159.1327667236328 158.40077209472656 None None None +10 709 0.1380518227815628 159.13551330566406 158.40371704101562 None None None +10 710 0.13806581497192383 159.11656188964844 158.38470458984375 None None None +10 711 0.13807635009288788 159.11859130859375 158.3866729736328 None None None +10 712 0.13801787793636322 159.11599731445312 158.3843994140625 None None None +10 713 0.13803096115589142 159.12217712402344 158.39051818847656 None None None +10 714 0.13797670602798462 159.10641479492188 158.3750457763672 None None None diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.bias_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..26aa52cd203336a383648ebe3c51b07eaa293e2f --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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 15:11:37.748623: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:40.497293: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:40.501181: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 15:11:40.632637: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.39GiB deviceMemoryBandwidth: 1.41TiB/s +2023-07-14 15:11:40.632758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:40.659172: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:40.659329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:40.670648: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:40.676138: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:40.695267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:40.700485: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:40.701612: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:40.730580: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:40.731109: 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 15:11:40.732548: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 15:11:40.738841: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c7:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.39GiB deviceMemoryBandwidth: 1.41TiB/s +2023-07-14 15:11:40.738908: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:40.738957: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 15:11:40.738982: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 15:11:40.739006: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 15:11:40.739029: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 15:11:40.739053: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 15:11:40.739084: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 15:11:40.739108: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 15:11:40.746907: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 15:11:40.749340: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 15:11:43.180320: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 15:11:43.180439: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 15:11:43.180452: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 15:11:43.305766: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37381 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:c7:00.0, compute capability: 8.0) +2023-07-14 15:11:44.355481: 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.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.bias_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..8175944738f098b126cd4581c266211ee6ae1e6d --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_4/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_4/new_model_formats/bias_model_scaled diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet.params.json b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..e8c05cde359a9c300a7372f5dec5f7a872ab01dd --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "5.3", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_data_params.tsv b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..f5c82413b9893b9b27bf87d3cb11717da1626d97 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 11.0 +counts_sum_max_thresh 273.0 +trainings_pts_post_thresh 49708 diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..453a22e27beec075a0079a1677811019a7394c00 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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 16:49:19.885000: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.622779: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.628497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-14 16:49:23.683198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3f:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.683289: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.714880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.715019: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.731190: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.738777: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.766493: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.773843: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.775538: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.803067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.803510: 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 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-14 16:49:23.804706: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-14 16:49:23.805402: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:3f:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 836.37GiB/s +2023-07-14 16:49:23.805450: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:23.805494: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-14 16:49:23.805514: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-14 16:49:23.805533: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-14 16:49:23.805551: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-14 16:49:23.805569: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-14 16:49:23.805587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-14 16:49:23.805606: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-14 16:49:23.807336: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-14 16:49:23.809225: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-14 16:49:26.286061: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-14 16:49:26.286165: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-14 16:49:26.286181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-14 16:49:26.315332: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30126 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:3f:00.0, compute capability: 7.0) +2023-07-14 16:49:29.405419: 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.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cbcafa70a44f1e7ab65329fc24d8697abaea8d5 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_4/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_4/new_model_formats/chrombpnet diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_model_params.tsv b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..ffff2eeec9880fba6c21e83b9bf169ac004701c3 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 5.3 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..527ee94468baca3f6eb2b9fd6fc519b87a54d63c --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_4/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_4/new_model_formats/chrombpnet_wo_bias diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..527ee94468baca3f6eb2b9fd6fc519b87a54d63c --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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//ENCSR609GST//chrombpnet_model_feb15_fold_4/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//chrombpnet_model_feb15_fold_4/new_model_formats/chrombpnet_wo_bias diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.epoch_loss.csv b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..6b7491feb1d0d050d733dd2d3bc6fb43a2041117 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.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 +0,1.8557664155960083,166.52166748046875,176.3572235107422,0.3098388612270355,171.13809204101562,172.78024291992188 +1,0.2393793910741806,164.7397003173828,166.00827026367188,0.17645955085754395,170.04342651367188,170.97865295410156 +2,0.19002476334571838,163.60885620117188,164.61593627929688,0.23830173909664154,169.27261352539062,170.53565979003906 +3,0.1815917193889618,163.012939453125,163.97535705566406,0.14924867451190948,168.97532653808594,169.76629638671875 +4,0.17486904561519623,162.5148468017578,163.44149780273438,0.14485158026218414,168.6693878173828,169.4370880126953 +5,0.16770638525485992,162.14256286621094,163.03140258789062,0.1399398148059845,168.4741973876953,169.21583557128906 +6,0.1651252806186676,161.84201049804688,162.7172393798828,0.13501206040382385,168.7258758544922,169.44143676757812 +7,0.16008108854293823,161.3321075439453,162.1805877685547,0.12939691543579102,168.7122344970703,169.3980255126953 +8,0.1582186073064804,161.09072875976562,161.92916870117188,0.13356629014015198,169.05020141601562,169.758056640625 +9,0.14284954965114594,159.3651123046875,160.1221466064453,0.12480542063713074,169.14981079101562,169.8113555908203 +10,0.13797670602798462,158.3750457763672,159.10641479492188,0.12417518347501755,169.647705078125,170.3058624267578 diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stderr.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..16f8554506b28fc3a0a9f99d98873dea86c7aa2a --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stderr.txt @@ -0,0 +1,328 @@ +2022-09-22 23:09:33.439543: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:35.398967: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:10:35.401443: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:10:35.844528: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:10:35.844592: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:35.863878: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:10:35.863936: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:10:35.874634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:10:35.879457: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:10:35.896707: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:10:35.901396: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:10:35.902520: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:10:35.906353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:10:35.906663: 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 23:10:35.906740: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:10:35.908020: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:10:35.908045: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:35.908060: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:10:35.908073: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:10:35.908085: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:10:35.908097: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:10:35.908108: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:10:35.908119: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:10:35.908130: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:10:35.910600: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:10:35.911839: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:37.288792: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:10:37.288894: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:10:37.288907: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:10:37.295068: 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: 0000:4b:00.0, compute capability: 8.0) +2022-09-22 23:10:38.196269: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:10:38.203338: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 23:10:38.359980: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:10:39.732028: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:10:39.741850: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:10:52.309580: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:53.685705: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:10:53.686905: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:10:53.970610: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:10:53.970668: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:53.972497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:10:53.972544: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:10:53.973365: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:10:53.973532: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:10:53.975393: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:10:53.975797: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:10:53.975914: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:10:53.977626: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:10:53.977897: 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 23:10:53.977981: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:10:53.978861: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:10:53.978901: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:53.978918: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:10:53.978931: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:10:53.978943: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:10:53.978955: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:10:53.978966: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:10:53.978977: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:10:53.978987: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:10:53.980560: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:10:53.980603: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:10:54.501667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:10:54.501771: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:10:54.501784: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:10:54.504540: 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: 0000:4b:00.0, compute capability: 8.0) +2022-09-22 23:11:57.571594: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:11:57.571985: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 23:11:58.742538: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:11:59.151594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:11:59.163726: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:12:01.699634: 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 23:31:41.689515: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:31:43.870226: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:31:43.871501: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:31:44.080626: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:31:44.080723: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:31:44.082430: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:31:44.082478: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:31:44.083257: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:31:44.083421: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:31:44.085125: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:31:44.085498: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:31:44.085621: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:31:44.087294: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:31:44.087577: 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 23:31:44.087671: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:31:44.088535: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:31:44.088557: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:31:44.088573: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:31:44.088595: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:31:44.088609: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:31:44.088622: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:31:44.088634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:31:44.088646: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:31:44.088658: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:31:44.090235: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:31:44.090276: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:31:44.487605: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:31:44.487692: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:31:44.487705: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:31:44.492097: 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: 0000:4b:00.0, compute capability: 8.0) +2022-09-22 23:32:00.521835: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:32:00.524518: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 23:32:00.591608: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:32:01.067611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:32:01.069554: 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 23:32:44.654628: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:32:46.577052: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:32:46.577939: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:32:46.790071: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:32:46.790143: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:32:46.791927: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:32:46.791969: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:32:46.792754: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:32:46.792920: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:32:46.794695: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:32:46.795080: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:32:46.795196: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:32:46.796835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:32:46.797111: 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 23:32:46.797202: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:32:46.798033: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:32:46.798054: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:32:46.798072: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:32:46.798086: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:32:46.798099: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:32:46.798111: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:32:46.798123: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:32:46.798135: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:32:46.798147: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:32:46.799715: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:32:46.799747: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:32:47.217710: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:32:47.217802: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:32:47.217815: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:32:47.220555: 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: 0000:4b: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 23:33:03.087698: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:33:03.089564: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 23:33:03.135715: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:33:03.588678: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:33:03.590168: 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 23:33:44.179576: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:33:46.133697: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:33:46.134581: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:33:46.341555: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:33:46.341632: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:33:46.343410: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:33:46.343454: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:33:46.344242: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:33:46.344404: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:33:46.346201: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:33:46.346594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:33:46.346712: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:33:46.348364: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:33:46.348641: 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 23:33:46.348716: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:33:46.349784: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:33:46.349807: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:33:46.349825: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:33:46.349841: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:33:46.349874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:33:46.349890: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:33:46.349904: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:33:46.349917: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:33:46.349931: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:33:46.351502: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:33:46.351533: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:33:46.758844: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:33:46.758925: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:33:46.758937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:33:46.761720: 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: 0000:4b:00.0, compute capability: 8.0) +2022-09-22 23:34:01.811881: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:34:01.813235: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 23:34:01.842308: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:34:02.268863: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:34:02.270238: 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 23:34:24.168212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:25.127503: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:34:25.128320: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:34:25.315736: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:34:25.315794: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:25.317701: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:34:25.317748: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:34:25.318554: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:34:25.318719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:34:25.320515: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:34:25.320908: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:34:25.321024: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:34:25.322635: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:34:25.322905: 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 23:34:25.322980: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:34:25.323794: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:34:25.323819: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:25.323836: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:34:25.323849: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:34:25.323862: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:34:25.323874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:34:25.323887: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:34:25.323899: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:34:25.323911: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:34:25.325458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:34:25.325493: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:34:25.758192: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:34:25.758292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:34:25.758305: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:34:25.761071: 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: 0000:4b: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 23:34:30.353229: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:34:30.353695: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 23:34:30.517412: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:34:30.961070: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:34:31.123874: 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/ENCSR609GST//chrombpnet_model_feb15_fold_4//footprints’: File exists +2022-09-22 23:35:45.976306: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:46.934593: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:35:46.935483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-09-22 23:35:47.221249: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:35:47.221308: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:47.223176: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:35:47.223220: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:35:47.224048: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:35:47.224215: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:35:47.226135: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:35:47.226540: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:35:47.226659: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:35:47.228293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:35:47.228555: 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 23:35:47.228675: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-09-22 23:35:47.229526: 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: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-09-22 23:35:47.229570: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:47.229601: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:35:47.229620: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:35:47.229634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-09-22 23:35:47.229648: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-09-22 23:35:47.229662: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-09-22 23:35:47.229676: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-09-22 23:35:47.229689: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-09-22 23:35:47.231252: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-09-22 23:35:47.231288: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-09-22 23:35:47.669980: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-09-22 23:35:47.670066: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-09-22 23:35:47.670078: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-09-22 23:35:47.672850: 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: 0000:4b:00.0, compute capability: 8.0) +2022-09-22 23:35:52.214726: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-09-22 23:35:52.215163: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2449945000 Hz +2022-09-22 23:35:52.331453: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-09-22 23:35:52.788999: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-09-22 23:35:52.790616: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stdout.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..6df62a7e5cdd60d084d2cc2d8c1a58254df683fe --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stdout.txt @@ -0,0 +1,467 @@ +ATAC-seq +ATAC_PE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json +Thu Sep 22 23:09:31 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 | 00000000:4B:00.0 Off | 0 | +| N/A 41C P0 67W / 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_23-09-32: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 46175 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 46175 +Number of peaks input: 10498 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 10498 +Number of non peaks input: 44272 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 44272 +Number of non peaks input: 12400 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 12400 +Number of peaks after removing outliers: 45661 +Number of nonpeaks after removing outliers: 38692 +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 + 1/1210 [..............................] - ETA: 2:19:46 12/1210 [..............................] - ETA: 5s  23/1210 [..............................] - ETA: 5s 34/1210 [..............................] - ETA: 5s 46/1210 [>.............................] - ETA: 5s 58/1210 [>.............................] - ETA: 5s 70/1210 [>.............................] - ETA: 5s 82/1210 [=>............................] - ETA: 5s 93/1210 [=>............................] - ETA: 5s 105/1210 [=>............................] - ETA: 5s 117/1210 [=>............................] - ETA: 5s 129/1210 [==>...........................] - ETA: 4s 141/1210 [==>...........................] - ETA: 4s 153/1210 [==>...........................] - ETA: 4s 165/1210 [===>..........................] - ETA: 4s 177/1210 [===>..........................] - ETA: 4s 188/1210 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[==========================>...] - ETA: 0s 1101/1210 [==========================>...] - ETA: 0s 1113/1210 [==========================>...] - ETA: 0s 1125/1210 [==========================>...] - ETA: 0s 1137/1210 [===========================>..] - ETA: 0s 1149/1210 [===========================>..] - ETA: 0s 1161/1210 [===========================>..] - ETA: 0s 1173/1210 [============================>.] - ETA: 0s 1185/1210 [============================>.] - ETA: 0s 1197/1210 [============================>.] - ETA: 0s 1208/1210 [============================>.] - ETA: 0s 1210/1210 [==============================] - 12s 5ms/step +2022-09-22_23-10-52: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.3', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(41588, 10) +loading nonpeaks... +got split:train for bed regions:(35530, 10) +loading peaks... +got split:valid for bed regions:(4073, 10) +loading nonpeaks... +got split:valid for bed regions:(3162, 10) +Epoch 1/50 + 1/715 [..............................] - ETA: 1:08:48 - loss: 177.9649 - logits_profile_predictions_loss: 173.4046 - logcount_predictions_loss: 0.8604 2/715 [..............................] - ETA: 1:39 - loss: 1031.0679 - logits_profile_predictions_loss: 175.4738 - logcount_predictions_loss: 161.4328 3/715 [..............................] - ETA: 1:39 - loss: 1127.0413 - logits_profile_predictions_loss: 176.7093 - logcount_predictions_loss: 179.3079 4/715 [..............................] - ETA: 1:39 - loss: 1103.7389 - logits_profile_predictions_loss: 176.9508 - logcount_predictions_loss: 174.8657 5/715 [..............................] - ETA: 1:38 - loss: 1055.8695 - logits_profile_predictions_loss: 177.2096 - logcount_predictions_loss: 165.7849 6/715 [..............................] - ETA: 1:38 - loss: 1004.9249 - logits_profile_predictions_loss: 177.2516 - logcount_predictions_loss: 156.1648 7/715 [..............................] - ETA: 1:38 - loss: 956.7153 - logits_profile_predictions_loss: 177.0268 - logcount_predictions_loss: 147.1110  8/715 [..............................] - ETA: 1:38 - loss: 912.7780 - logits_profile_predictions_loss: 176.6793 - logcount_predictions_loss: 138.8865 9/715 [..............................] - ETA: 1:38 - loss: 873.3299 - logits_profile_predictions_loss: 176.3791 - logcount_predictions_loss: 131.5001 10/715 [..............................] - ETA: 1:37 - loss: 837.9921 - logits_profile_predictions_loss: 176.1394 - logcount_predictions_loss: 124.8779 11/715 [..............................] - ETA: 1:37 - loss: 806.1732 - logits_profile_predictions_loss: 175.8579 - logcount_predictions_loss: 118.9274 12/715 [..............................] - ETA: 1:37 - loss: 777.4440 - logits_profile_predictions_loss: 175.5619 - logcount_predictions_loss: 113.5626 13/715 [..............................] - ETA: 1:37 - loss: 751.4064 - logits_profile_predictions_loss: 175.2626 - logcount_predictions_loss: 108.7064 14/715 [..............................] - ETA: 1:37 - loss: 727.7275 - logits_profile_predictions_loss: 174.9816 - logcount_predictions_loss: 104.2917 15/715 [..............................] - ETA: 1:37 - loss: 706.0402 - logits_profile_predictions_loss: 174.6572 - logcount_predictions_loss: 100.2610 16/715 [..............................] - ETA: 1:37 - loss: 686.1295 - logits_profile_predictions_loss: 174.3290 - logcount_predictions_loss: 96.5661  17/715 [..............................] - ETA: 1:37 - loss: 667.8633 - logits_profile_predictions_loss: 174.0755 - logcount_predictions_loss: 93.1675 18/715 [..............................] - ETA: 1:36 - loss: 651.0297 - logits_profile_predictions_loss: 173.8686 - logcount_predictions_loss: 90.0304 19/715 [..............................] - ETA: 1:36 - loss: 635.4046 - logits_profile_predictions_loss: 173.6468 - logcount_predictions_loss: 87.1241 20/715 [..............................] - ETA: 1:36 - loss: 620.9064 - logits_profile_predictions_loss: 173.4585 - logcount_predictions_loss: 84.4241 21/715 [..............................] - ETA: 1:36 - loss: 607.3892 - logits_profile_predictions_loss: 173.2750 - logcount_predictions_loss: 81.9083 22/715 [..............................] - ETA: 1:36 - loss: 594.7376 - logits_profile_predictions_loss: 173.0812 - logcount_predictions_loss: 79.5578 23/715 [..............................] - ETA: 1:36 - loss: 582.9302 - logits_profile_predictions_loss: 172.9364 - logcount_predictions_loss: 77.3573 24/715 [>.............................] - ETA: 1:35 - loss: 571.8300 - logits_profile_predictions_loss: 172.7850 - logcount_predictions_loss: 75.2915 25/715 [>.............................] - ETA: 1:35 - loss: 561.4178 - logits_profile_predictions_loss: 172.6698 - logcount_predictions_loss: 73.3487 26/715 [>.............................] - ETA: 1:35 - loss: 551.6178 - logits_profile_predictions_loss: 172.5751 - logcount_predictions_loss: 71.5175 27/715 [>.............................] - ETA: 1:35 - loss: 542.3511 - logits_profile_predictions_loss: 172.4757 - logcount_predictions_loss: 69.7878 28/715 [>.............................] - ETA: 1:35 - loss: 533.5865 - logits_profile_predictions_loss: 172.3844 - logcount_predictions_loss: 68.1513 29/715 [>.............................] - ETA: 1:35 - loss: 525.2656 - logits_profile_predictions_loss: 172.2849 - logcount_predictions_loss: 66.6001 30/715 [>.............................] - ETA: 1:35 - loss: 517.3783 - logits_profile_predictions_loss: 172.2006 - logcount_predictions_loss: 65.1279 31/715 [>.............................] - ETA: 1:34 - loss: 509.8780 - logits_profile_predictions_loss: 172.1175 - logcount_predictions_loss: 63.7284 32/715 [>.............................] - ETA: 1:34 - loss: 502.7395 - logits_profile_predictions_loss: 172.0397 - logcount_predictions_loss: 62.3962 33/715 [>.............................] - ETA: 1:34 - loss: 495.9532 - logits_profile_predictions_loss: 171.9830 - logcount_predictions_loss: 61.1265 34/715 [>.............................] - ETA: 1:34 - loss: 489.4787 - logits_profile_predictions_loss: 171.9309 - logcount_predictions_loss: 59.9147 35/715 [>.............................] - ETA: 1:34 - loss: 483.2908 - logits_profile_predictions_loss: 171.8803 - logcount_predictions_loss: 58.7567 36/715 [>.............................] - ETA: 1:34 - loss: 477.3747 - logits_profile_predictions_loss: 171.8349 - logcount_predictions_loss: 57.6490 37/715 [>.............................] - ETA: 1:34 - loss: 471.7045 - logits_profile_predictions_loss: 171.7874 - logcount_predictions_loss: 56.5881 38/715 [>.............................] - ETA: 1:33 - loss: 466.2745 - logits_profile_predictions_loss: 171.7475 - logcount_predictions_loss: 55.5711 39/715 [>.............................] - ETA: 1:33 - loss: 461.0724 - logits_profile_predictions_loss: 171.7173 - logcount_predictions_loss: 54.5953 40/715 [>.............................] - ETA: 1:33 - loss: 456.0727 - logits_profile_predictions_loss: 171.6853 - logcount_predictions_loss: 53.6580 41/715 [>.............................] - ETA: 1:33 - loss: 451.2649 - logits_profile_predictions_loss: 171.6535 - logcount_predictions_loss: 52.7569 42/715 [>.............................] - ETA: 1:33 - loss: 446.6406 - logits_profile_predictions_loss: 171.6249 - logcount_predictions_loss: 51.8898 43/715 [>.............................] - ETA: 1:33 - loss: 442.1878 - logits_profile_predictions_loss: 171.5981 - logcount_predictions_loss: 51.0547 44/715 [>.............................] - ETA: 1:33 - loss: 437.8940 - logits_profile_predictions_loss: 171.5703 - logcount_predictions_loss: 50.2498 45/715 [>.............................] - ETA: 1:32 - loss: 433.7482 - logits_profile_predictions_loss: 171.5395 - logcount_predictions_loss: 49.4733 46/715 [>.............................] - ETA: 1:32 - loss: 429.7480 - logits_profile_predictions_loss: 171.5110 - logcount_predictions_loss: 48.7239 47/715 [>.............................] - ETA: 1:32 - loss: 425.8756 - logits_profile_predictions_loss: 171.4758 - logcount_predictions_loss: 48.0000 48/715 [=>............................] - ETA: 1:32 - loss: 422.1320 - logits_profile_predictions_loss: 171.4410 - logcount_predictions_loss: 47.3002 49/715 [=>............................] - ETA: 1:32 - loss: 418.5122 - logits_profile_predictions_loss: 171.4081 - logcount_predictions_loss: 46.6234 50/715 [=>............................] - ETA: 1:32 - loss: 415.0088 - logits_profile_predictions_loss: 171.3761 - logcount_predictions_loss: 45.9684 51/715 [=>............................] - ETA: 1:32 - loss: 411.6162 - logits_profile_predictions_loss: 171.3449 - logcount_predictions_loss: 45.3342 52/715 [=>............................] - ETA: 1:31 - loss: 408.3277 - logits_profile_predictions_loss: 171.3132 - logcount_predictions_loss: 44.7197 53/715 [=>............................] - ETA: 1:31 - loss: 405.1384 - logits_profile_predictions_loss: 171.2812 - logcount_predictions_loss: 44.1240 54/715 [=>............................] - ETA: 1:31 - loss: 402.0462 - logits_profile_predictions_loss: 171.2512 - logcount_predictions_loss: 43.5462 55/715 [=>............................] - ETA: 1:31 - loss: 399.0443 - logits_profile_predictions_loss: 171.2212 - logcount_predictions_loss: 42.9855 56/715 [=>............................] - ETA: 1:31 - loss: 396.1323 - logits_profile_predictions_loss: 171.1945 - logcount_predictions_loss: 42.4411 57/715 [=>............................] - ETA: 1:31 - loss: 393.3012 - logits_profile_predictions_loss: 171.1662 - logcount_predictions_loss: 41.9123 58/715 [=>............................] - ETA: 1:31 - loss: 390.5479 - logits_profile_predictions_loss: 171.1370 - logcount_predictions_loss: 41.3983 59/715 [=>............................] - ETA: 1:31 - loss: 387.8685 - logits_profile_predictions_loss: 171.1063 - logcount_predictions_loss: 40.8985 60/715 [=>............................] - ETA: 1:30 - loss: 385.2625 - logits_profile_predictions_loss: 171.0769 - logcount_predictions_loss: 40.4124 61/715 [=>............................] - ETA: 1:30 - loss: 382.7259 - logits_profile_predictions_loss: 171.0476 - logcount_predictions_loss: 39.9393 62/715 [=>............................] - ETA: 1:30 - loss: 380.2554 - logits_profile_predictions_loss: 171.0181 - logcount_predictions_loss: 39.4787 63/715 [=>............................] - ETA: 1:30 - loss: 377.8507 - logits_profile_predictions_loss: 170.9906 - logcount_predictions_loss: 39.0302 64/715 [=>............................] - ETA: 1:30 - loss: 375.5125 - logits_profile_predictions_loss: 170.9680 - logcount_predictions_loss: 38.5933 65/715 [=>............................] - ETA: 1:30 - loss: 373.2338 - logits_profile_predictions_loss: 170.9462 - logcount_predictions_loss: 38.1675 66/715 [=>............................] - ETA: 1:30 - loss: 371.0089 - logits_profile_predictions_loss: 170.9220 - logcount_predictions_loss: 37.7522 67/715 [=>............................] - ETA: 1:29 - loss: 368.8417 - logits_profile_predictions_loss: 170.9011 - logcount_predictions_loss: 37.3473 68/715 [=>............................] - ETA: 1:29 - loss: 366.7254 - logits_profile_predictions_loss: 170.8792 - logcount_predictions_loss: 36.9521 69/715 [=>............................] - ETA: 1:29 - loss: 364.6588 - logits_profile_predictions_loss: 170.8568 - logcount_predictions_loss: 36.5664 70/715 [=>............................] - ETA: 1:29 - loss: 362.6409 - logits_profile_predictions_loss: 170.8348 - logcount_predictions_loss: 36.1898 71/715 [=>............................] - ETA: 1:29 - loss: 360.6680 - logits_profile_predictions_loss: 170.8112 - logcount_predictions_loss: 35.8220 72/715 [==>...........................] - ETA: 1:29 - loss: 358.7415 - logits_profile_predictions_loss: 170.7891 - logcount_predictions_loss: 35.4627 73/715 [==>...........................] - ETA: 1:29 - loss: 356.8590 - logits_profile_predictions_loss: 170.7677 - logcount_predictions_loss: 35.1116 74/715 [==>...........................] - ETA: 1:28 - loss: 355.0191 - logits_profile_predictions_loss: 170.7470 - logcount_predictions_loss: 34.7683 75/715 [==>...........................] - ETA: 1:28 - loss: 353.2205 - logits_profile_predictions_loss: 170.7274 - logcount_predictions_loss: 34.4327 76/715 [==>...........................] - ETA: 1:28 - loss: 351.4635 - logits_profile_predictions_loss: 170.7103 - logcount_predictions_loss: 34.1044 77/715 [==>...........................] - ETA: 1:28 - loss: 349.7453 - logits_profile_predictions_loss: 170.6942 - logcount_predictions_loss: 33.7832 78/715 [==>...........................] - ETA: 1:28 - loss: 348.0624 - logits_profile_predictions_loss: 170.6772 - logcount_predictions_loss: 33.4689 79/715 [==>...........................] - ETA: 1:28 - loss: 346.4151 - logits_profile_predictions_loss: 170.6607 - logcount_predictions_loss: 33.1612 80/715 [==>...........................] - ETA: 1:28 - loss: 344.8018 - logits_profile_predictions_loss: 170.6441 - logcount_predictions_loss: 32.8599 81/715 [==>...........................] - ETA: 1:27 - loss: 343.2227 - logits_profile_predictions_loss: 170.6287 - logcount_predictions_loss: 32.5649 82/715 [==>...........................] - ETA: 1:27 - loss: 341.6778 - logits_profile_predictions_loss: 170.6156 - logcount_predictions_loss: 32.2759 83/715 [==>...........................] - ETA: 1:27 - loss: 340.1636 - logits_profile_predictions_loss: 170.6022 - logcount_predictions_loss: 31.9927 84/715 [==>...........................] - ETA: 1:27 - loss: 338.6814 - logits_profile_predictions_loss: 170.5908 - logcount_predictions_loss: 31.7152 85/715 [==>...........................] - ETA: 1:27 - loss: 337.2269 - logits_profile_predictions_loss: 170.5782 - logcount_predictions_loss: 31.4432 86/715 [==>...........................] - ETA: 1:27 - loss: 335.7996 - logits_profile_predictions_loss: 170.5648 - logcount_predictions_loss: 31.1764 87/715 [==>...........................] - ETA: 1:27 - loss: 334.3986 - logits_profile_predictions_loss: 170.5506 - logcount_predictions_loss: 30.9147 88/715 [==>...........................] - ETA: 1:26 - loss: 333.0226 - logits_profile_predictions_loss: 170.5350 - logcount_predictions_loss: 30.6580 89/715 [==>...........................] - ETA: 1:26 - loss: 331.6720 - logits_profile_predictions_loss: 170.5192 - logcount_predictions_loss: 30.4062 90/715 [==>...........................] - ETA: 1:26 - loss: 330.3477 - logits_profile_predictions_loss: 170.5047 - logcount_predictions_loss: 30.1590 91/715 [==>...........................] - ETA: 1:26 - loss: 329.0470 - logits_profile_predictions_loss: 170.4896 - logcount_predictions_loss: 29.9165 92/715 [==>...........................] - ETA: 1:26 - loss: 327.7704 - logits_profile_predictions_loss: 170.4750 - logcount_predictions_loss: 29.6784 93/715 [==>...........................] - ETA: 1:26 - loss: 326.5161 - logits_profile_predictions_loss: 170.4599 - logcount_predictions_loss: 29.4446 94/715 [==>...........................] - ETA: 1:26 - loss: 325.2838 - logits_profile_predictions_loss: 170.4447 - logcount_predictions_loss: 29.2149 95/715 [==>...........................] - ETA: 1:25 - loss: 324.0740 - logits_profile_predictions_loss: 170.4302 - logcount_predictions_loss: 28.9894 96/715 [===>..........................] - ETA: 1:25 - loss: 322.8852 - logits_profile_predictions_loss: 170.4158 - logcount_predictions_loss: 28.7678 97/715 [===>..........................] - ETA: 1:25 - loss: 321.7167 - logits_profile_predictions_loss: 170.4011 - logcount_predictions_loss: 28.5501 98/715 [===>..........................] - ETA: 1:25 - loss: 320.5666 - logits_profile_predictions_loss: 170.3852 - logcount_predictions_loss: 28.3361 99/715 [===>..........................] - ETA: 1:25 - loss: 319.4372 - logits_profile_predictions_loss: 170.3706 - logcount_predictions_loss: 28.1258 100/715 [===>..........................] - ETA: 1:25 - loss: 318.3267 - logits_profile_predictions_loss: 170.3560 - logcount_predictions_loss: 27.9190 101/715 [===>..........................] - ETA: 1:25 - loss: 317.2359 - logits_profile_predictions_loss: 170.3426 - logcount_predictions_loss: 27.7157 102/715 [===>..........................] - ETA: 1:25 - loss: 316.1624 - logits_profile_predictions_loss: 170.3288 - logcount_predictions_loss: 27.5158 103/715 [===>..........................] - ETA: 1:24 - loss: 315.1043 - logits_profile_predictions_loss: 170.3131 - logcount_predictions_loss: 27.3191 104/715 [===>..........................] - ETA: 1:24 - loss: 314.0662 - logits_profile_predictions_loss: 170.3002 - logcount_predictions_loss: 27.1257 105/715 [===>..........................] - ETA: 1:24 - loss: 313.0441 - logits_profile_predictions_loss: 170.2867 - logcount_predictions_loss: 26.9353 106/715 [===>..........................] - ETA: 1:24 - loss: 312.0371 - logits_profile_predictions_loss: 170.2724 - logcount_predictions_loss: 26.7481 107/715 [===>..........................] - ETA: 1:24 - loss: 311.0435 - logits_profile_predictions_loss: 170.2558 - logcount_predictions_loss: 26.5637 108/715 [===>..........................] - ETA: 1:24 - loss: 310.0650 - logits_profile_predictions_loss: 170.2390 - logcount_predictions_loss: 26.3823 109/715 [===>..........................] - ETA: 1:24 - loss: 309.1021 - logits_profile_predictions_loss: 170.2229 - logcount_predictions_loss: 26.2036 110/715 [===>..........................] - ETA: 1:23 - loss: 308.1540 - logits_profile_predictions_loss: 170.2068 - logcount_predictions_loss: 26.0278 111/715 [===>..........................] - ETA: 1:23 - loss: 307.2202 - logits_profile_predictions_loss: 170.1909 - logcount_predictions_loss: 25.8546 112/715 [===>..........................] - ETA: 1:23 - loss: 306.3009 - logits_profile_predictions_loss: 170.1755 - logcount_predictions_loss: 25.6840 113/715 [===>..........................] - ETA: 1:23 - loss: 305.3957 - logits_profile_predictions_loss: 170.1605 - logcount_predictions_loss: 25.5161 114/715 [===>..........................] - ETA: 1:23 - loss: 304.5031 - logits_profile_predictions_loss: 170.1449 - logcount_predictions_loss: 25.3506 115/715 [===>..........................] - ETA: 1:23 - loss: 303.6234 - logits_profile_predictions_loss: 170.1292 - logcount_predictions_loss: 25.1876 116/715 [===>..........................] - ETA: 1:23 - loss: 302.7570 - logits_profile_predictions_loss: 170.1142 - logcount_predictions_loss: 25.0270 117/715 [===>..........................] - ETA: 1:22 - loss: 301.9025 - logits_profile_predictions_loss: 170.0986 - logcount_predictions_loss: 24.8687 118/715 [===>..........................] - ETA: 1:22 - loss: 301.0606 - logits_profile_predictions_loss: 170.0835 - logcount_predictions_loss: 24.7127 119/715 [===>..........................] - ETA: 1:22 - loss: 300.2307 - logits_profile_predictions_loss: 170.0685 - logcount_predictions_loss: 24.5589 120/715 [====>.........................] - ETA: 1:22 - loss: 299.4129 - logits_profile_predictions_loss: 170.0540 - logcount_predictions_loss: 24.4073 121/715 [====>.........................] - ETA: 1:22 - loss: 298.6068 - logits_profile_predictions_loss: 170.0399 - logcount_predictions_loss: 24.2579 122/715 [====>.........................] - ETA: 1:22 - loss: 297.8117 - logits_profile_predictions_loss: 170.0257 - logcount_predictions_loss: 24.1106 123/715 [====>.........................] - ETA: 1:22 - loss: 297.0284 - logits_profile_predictions_loss: 170.0123 - logcount_predictions_loss: 23.9653 124/715 [====>.........................] - ETA: 1:21 - loss: 296.2563 - logits_profile_predictions_loss: 169.9996 - logcount_predictions_loss: 23.8220 125/715 [====>.........................] - ETA: 1:21 - loss: 295.4957 - logits_profile_predictions_loss: 169.9879 - logcount_predictions_loss: 23.6807 126/715 [====>.........................] - ETA: 1:21 - loss: 294.7458 - logits_profile_predictions_loss: 169.9766 - logcount_predictions_loss: 23.5414 127/715 [====>.........................] - ETA: 1:21 - loss: 294.0061 - logits_profile_predictions_loss: 169.9656 - logcount_predictions_loss: 23.4039 128/715 [====>.........................] - ETA: 1:21 - loss: 293.2759 - logits_profile_predictions_loss: 169.9544 - logcount_predictions_loss: 23.2682 129/715 [====>.........................] - ETA: 1:21 - loss: 292.5550 - logits_profile_predictions_loss: 169.9429 - logcount_predictions_loss: 23.1344 130/715 [====>.........................] - ETA: 1:21 - loss: 291.8430 - logits_profile_predictions_loss: 169.9311 - logcount_predictions_loss: 23.0023 131/715 [====>.........................] - ETA: 1:21 - loss: 291.1405 - logits_profile_predictions_loss: 169.9195 - logcount_predictions_loss: 22.8719 132/715 [====>.........................] - ETA: 1:20 - loss: 290.4474 - logits_profile_predictions_loss: 169.9085 - logcount_predictions_loss: 22.7432 133/715 [====>.........................] - ETA: 1:20 - loss: 289.7634 - logits_profile_predictions_loss: 169.8976 - logcount_predictions_loss: 22.6162 134/715 [====>.........................] - ETA: 1:20 - loss: 289.0876 - logits_profile_predictions_loss: 169.8864 - logcount_predictions_loss: 22.4908 135/715 [====>.........................] - ETA: 1:20 - loss: 288.4195 - logits_profile_predictions_loss: 169.8745 - logcount_predictions_loss: 22.3670 136/715 [====>.........................] - ETA: 1:20 - loss: 287.7611 - logits_profile_predictions_loss: 169.8639 - logcount_predictions_loss: 22.2448 137/715 [====>.........................] - ETA: 1:20 - loss: 287.1107 - logits_profile_predictions_loss: 169.8533 - logcount_predictions_loss: 22.1240 138/715 [====>.........................] - ETA: 1:20 - loss: 286.4688 - logits_profile_predictions_loss: 169.8431 - logcount_predictions_loss: 22.0049 139/715 [====>.........................] - ETA: 1:19 - loss: 285.8347 - logits_profile_predictions_loss: 169.8329 - logcount_predictions_loss: 21.8871 140/715 [====>.........................] - ETA: 1:19 - loss: 285.2083 - logits_profile_predictions_loss: 169.8228 - logcount_predictions_loss: 21.7708 141/715 [====>.........................] - ETA: 1:19 - loss: 284.5889 - 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logits_profile_predictions_loss: 162.4943 - logcount_predictions_loss: 0.1729 712/715 [============================>.] - ETA: 0s - loss: 163.4107 - logits_profile_predictions_loss: 162.4943 - logcount_predictions_loss: 0.1729 713/715 [============================>.] - ETA: 0s - loss: 163.4107 - logits_profile_predictions_loss: 162.4943 - logcount_predictions_loss: 0.1729 714/715 [============================>.] - ETA: 0s - loss: 163.4108 - logits_profile_predictions_loss: 162.4944 - logcount_predictions_loss: 0.1729 715/715 [==============================] - ETA: 0s - loss: 163.4108 - logits_profile_predictions_loss: 162.4944 - logcount_predictions_loss: 0.1729 715/715 [==============================] - 103s 145ms/step - loss: 163.4109 - logits_profile_predictions_loss: 162.4944 - logcount_predictions_loss: 0.1729 - val_loss: 169.4371 - val_logits_profile_predictions_loss: 168.6694 - val_logcount_predictions_loss: 0.1449 + +Epoch 00005: val_loss improved from 169.76630 to 169.43709, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 6/50 + 1/715 [..............................] - ETA: 1:57 - loss: 175.3262 - logits_profile_predictions_loss: 174.3044 - logcount_predictions_loss: 0.1928 2/715 [..............................] - ETA: 1:39 - loss: 172.5918 - logits_profile_predictions_loss: 171.6593 - logcount_predictions_loss: 0.1759 3/715 [..............................] - ETA: 1:39 - loss: 171.2683 - logits_profile_predictions_loss: 170.3754 - logcount_predictions_loss: 0.1685 4/715 [..............................] - ETA: 1:39 - loss: 169.5308 - logits_profile_predictions_loss: 168.6627 - logcount_predictions_loss: 0.1638 5/715 [..............................] - ETA: 1:38 - loss: 168.3959 - logits_profile_predictions_loss: 167.5332 - logcount_predictions_loss: 0.1628 6/715 [..............................] - ETA: 1:38 - loss: 167.7691 - logits_profile_predictions_loss: 166.9107 - 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[=>............................] - ETA: 1:32 - loss: 160.5130 - logits_profile_predictions_loss: 159.6494 - logcount_predictions_loss: 0.1630 50/715 [=>............................] - ETA: 1:32 - loss: 160.5313 - logits_profile_predictions_loss: 159.6677 - logcount_predictions_loss: 0.1629 51/715 [=>............................] - ETA: 1:31 - loss: 160.5514 - logits_profile_predictions_loss: 159.6880 - logcount_predictions_loss: 0.1629 52/715 [=>............................] - ETA: 1:31 - loss: 160.5693 - logits_profile_predictions_loss: 159.7060 - logcount_predictions_loss: 0.1629 53/715 [=>............................] - ETA: 1:31 - loss: 160.5852 - logits_profile_predictions_loss: 159.7222 - logcount_predictions_loss: 0.1628 54/715 [=>............................] - ETA: 1:31 - loss: 160.6021 - logits_profile_predictions_loss: 159.7393 - logcount_predictions_loss: 0.1628 55/715 [=>............................] - ETA: 1:31 - loss: 160.6180 - logits_profile_predictions_loss: 159.7554 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[..............................] - ETA: 1:38 - loss: 158.6337 - logits_profile_predictions_loss: 157.9404 - logcount_predictions_loss: 0.1308 11/715 [..............................] - ETA: 1:37 - loss: 158.7812 - logits_profile_predictions_loss: 158.0804 - logcount_predictions_loss: 0.1322 12/715 [..............................] - ETA: 1:37 - loss: 158.8739 - logits_profile_predictions_loss: 158.1689 - logcount_predictions_loss: 0.1330 13/715 [..............................] - ETA: 1:37 - loss: 158.9596 - logits_profile_predictions_loss: 158.2519 - logcount_predictions_loss: 0.1335 14/715 [..............................] - ETA: 1:37 - loss: 159.0206 - logits_profile_predictions_loss: 158.3107 - logcount_predictions_loss: 0.1340 15/715 [..............................] - ETA: 1:37 - loss: 159.0269 - logits_profile_predictions_loss: 158.3157 - logcount_predictions_loss: 0.1342 16/715 [..............................] - ETA: 1:37 - loss: 159.0613 - logits_profile_predictions_loss: 158.3484 - logcount_predictions_loss: 0.1345 17/715 [..............................] - ETA: 1:36 - loss: 159.1573 - logits_profile_predictions_loss: 158.4432 - logcount_predictions_loss: 0.1347 18/715 [..............................] - ETA: 1:36 - loss: 159.2435 - logits_profile_predictions_loss: 158.5270 - logcount_predictions_loss: 0.1352 19/715 [..............................] - ETA: 1:36 - loss: 159.3271 - logits_profile_predictions_loss: 158.6084 - logcount_predictions_loss: 0.1356 20/715 [..............................] - ETA: 1:36 - loss: 159.4047 - logits_profile_predictions_loss: 158.6841 - logcount_predictions_loss: 0.1360 21/715 [..............................] - ETA: 1:36 - loss: 159.4908 - logits_profile_predictions_loss: 158.7689 - logcount_predictions_loss: 0.1362 22/715 [..............................] - ETA: 1:36 - loss: 159.5717 - logits_profile_predictions_loss: 158.8486 - logcount_predictions_loss: 0.1364 23/715 [..............................] - ETA: 1:36 - loss: 159.6251 - 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[=>............................] - ETA: 1:32 - loss: 160.2858 - logits_profile_predictions_loss: 159.5343 - logcount_predictions_loss: 0.1418 51/715 [=>............................] - ETA: 1:32 - loss: 160.3086 - logits_profile_predictions_loss: 159.5569 - logcount_predictions_loss: 0.1418 52/715 [=>............................] - ETA: 1:31 - loss: 160.3299 - logits_profile_predictions_loss: 159.5780 - logcount_predictions_loss: 0.1419 53/715 [=>............................] - ETA: 1:31 - loss: 160.3498 - logits_profile_predictions_loss: 159.5980 - logcount_predictions_loss: 0.1419 54/715 [=>............................] - ETA: 1:31 - loss: 160.3679 - logits_profile_predictions_loss: 159.6161 - logcount_predictions_loss: 0.1419 55/715 [=>............................] - ETA: 1:31 - loss: 160.3860 - logits_profile_predictions_loss: 159.6341 - logcount_predictions_loss: 0.1419 56/715 [=>............................] - ETA: 1:31 - loss: 160.4017 - logits_profile_predictions_loss: 159.6498 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logits_profile_predictions_loss: 159.6799 - logcount_predictions_loss: 0.1420 64/715 [=>............................] - ETA: 1:30 - loss: 160.4314 - logits_profile_predictions_loss: 159.6790 - logcount_predictions_loss: 0.1420 65/715 [=>............................] - ETA: 1:30 - loss: 160.4323 - logits_profile_predictions_loss: 159.6799 - logcount_predictions_loss: 0.1420 66/715 [=>............................] - ETA: 1:29 - loss: 160.4325 - logits_profile_predictions_loss: 159.6800 - logcount_predictions_loss: 0.1420 67/715 [=>............................] - ETA: 1:29 - loss: 160.4305 - logits_profile_predictions_loss: 159.6780 - logcount_predictions_loss: 0.1420 68/715 [=>............................] - ETA: 1:29 - loss: 160.4291 - logits_profile_predictions_loss: 159.6765 - logcount_predictions_loss: 0.1420 69/715 [=>............................] - ETA: 1:29 - loss: 160.4283 - logits_profile_predictions_loss: 159.6756 - logcount_predictions_loss: 0.1420 70/715 [=>............................] - ETA: 1:29 - loss: 160.4246 - logits_profile_predictions_loss: 159.6719 - logcount_predictions_loss: 0.1420 71/715 [=>............................] - ETA: 1:29 - loss: 160.4238 - logits_profile_predictions_loss: 159.6710 - logcount_predictions_loss: 0.1421 72/715 [==>...........................] - ETA: 1:29 - loss: 160.4225 - logits_profile_predictions_loss: 159.6696 - logcount_predictions_loss: 0.1421 73/715 [==>...........................] - ETA: 1:28 - loss: 160.4208 - logits_profile_predictions_loss: 159.6678 - logcount_predictions_loss: 0.1421 74/715 [==>...........................] - ETA: 1:28 - loss: 160.4179 - logits_profile_predictions_loss: 159.6648 - logcount_predictions_loss: 0.1421 75/715 [==>...........................] - ETA: 1:28 - loss: 160.4151 - logits_profile_predictions_loss: 159.6619 - logcount_predictions_loss: 0.1421 76/715 [==>...........................] - ETA: 1:28 - loss: 160.4099 - logits_profile_predictions_loss: 159.6566 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[==============================] - ETA: 0s - loss: 160.1050 - logits_profile_predictions_loss: 159.3403 - logcount_predictions_loss: 0.1443 715/715 [==============================] - 104s 145ms/step - loss: 160.1050 - logits_profile_predictions_loss: 159.3404 - logcount_predictions_loss: 0.1443 - val_loss: 169.8114 - val_logits_profile_predictions_loss: 169.1498 - val_logcount_predictions_loss: 0.1248 + +Epoch 00010: val_loss did not improve from 169.21584 +Epoch 11/50 + 1/715 [..............................] - ETA: 1:57 - loss: 152.3470 - logits_profile_predictions_loss: 151.7586 - logcount_predictions_loss: 0.1110 2/715 [..............................] - ETA: 1:45 - loss: 153.1328 - logits_profile_predictions_loss: 152.5189 - logcount_predictions_loss: 0.1158 3/715 [..............................] - ETA: 1:42 - loss: 153.2291 - logits_profile_predictions_loss: 152.5754 - logcount_predictions_loss: 0.1233 4/715 [..............................] - ETA: 1:41 - loss: 153.7125 - logits_profile_predictions_loss: 153.0333 - logcount_predictions_loss: 0.1281 5/715 [..............................] - ETA: 1:40 - loss: 153.9859 - logits_profile_predictions_loss: 153.2899 - logcount_predictions_loss: 0.1313 6/715 [..............................] - ETA: 1:40 - loss: 154.1304 - logits_profile_predictions_loss: 153.4207 - logcount_predictions_loss: 0.1339 7/715 [..............................] - ETA: 1:39 - loss: 154.3714 - logits_profile_predictions_loss: 153.6502 - logcount_predictions_loss: 0.1361 8/715 [..............................] - ETA: 1:39 - loss: 154.5651 - logits_profile_predictions_loss: 153.8328 - logcount_predictions_loss: 0.1382 9/715 [..............................] - ETA: 1:39 - loss: 154.8153 - logits_profile_predictions_loss: 154.0740 - logcount_predictions_loss: 0.1399 10/715 [..............................] - ETA: 1:38 - loss: 155.0865 - logits_profile_predictions_loss: 154.3338 - logcount_predictions_loss: 0.1420 11/715 [..............................] - ETA: 1:38 - loss: 155.3602 - logits_profile_predictions_loss: 154.5989 - logcount_predictions_loss: 0.1436 12/715 [..............................] - ETA: 1:38 - loss: 155.5013 - logits_profile_predictions_loss: 154.7331 - logcount_predictions_loss: 0.1449 13/715 [..............................] - ETA: 1:38 - loss: 155.6694 - logits_profile_predictions_loss: 154.8973 - logcount_predictions_loss: 0.1457 14/715 [..............................] - ETA: 1:38 - loss: 155.7287 - logits_profile_predictions_loss: 154.9552 - logcount_predictions_loss: 0.1459 15/715 [..............................] - ETA: 1:37 - loss: 155.8014 - logits_profile_predictions_loss: 155.0276 - logcount_predictions_loss: 0.1460 16/715 [..............................] - ETA: 1:37 - loss: 155.8255 - logits_profile_predictions_loss: 155.0529 - logcount_predictions_loss: 0.1458 17/715 [..............................] - ETA: 1:37 - loss: 155.8200 - logits_profile_predictions_loss: 155.0485 - logcount_predictions_loss: 0.1456 18/715 [..............................] - ETA: 1:37 - loss: 155.8107 - logits_profile_predictions_loss: 155.0398 - logcount_predictions_loss: 0.1455 19/715 [..............................] - ETA: 1:37 - loss: 155.8003 - logits_profile_predictions_loss: 155.0301 - logcount_predictions_loss: 0.1453 20/715 [..............................] - ETA: 1:37 - loss: 155.7736 - logits_profile_predictions_loss: 155.0037 - logcount_predictions_loss: 0.1453 21/715 [..............................] - ETA: 1:36 - loss: 155.7464 - logits_profile_predictions_loss: 154.9770 - logcount_predictions_loss: 0.1452 22/715 [..............................] - ETA: 1:36 - loss: 155.7452 - logits_profile_predictions_loss: 154.9762 - logcount_predictions_loss: 0.1451 23/715 [..............................] - ETA: 1:36 - loss: 155.7562 - logits_profile_predictions_loss: 154.9876 - logcount_predictions_loss: 0.1450 24/715 [>.............................] - ETA: 1:36 - loss: 155.7858 - logits_profile_predictions_loss: 155.0176 - logcount_predictions_loss: 0.1449 25/715 [>.............................] - ETA: 1:36 - loss: 155.7879 - logits_profile_predictions_loss: 155.0199 - logcount_predictions_loss: 0.1449 26/715 [>.............................] - ETA: 1:36 - loss: 155.7858 - logits_profile_predictions_loss: 155.0183 - logcount_predictions_loss: 0.1448 27/715 [>.............................] - ETA: 1:35 - loss: 155.7800 - logits_profile_predictions_loss: 155.0131 - logcount_predictions_loss: 0.1447 28/715 [>.............................] - ETA: 1:35 - loss: 155.7700 - logits_profile_predictions_loss: 155.0039 - logcount_predictions_loss: 0.1445 29/715 [>.............................] - ETA: 1:35 - loss: 155.7590 - logits_profile_predictions_loss: 154.9937 - logcount_predictions_loss: 0.1444 30/715 [>.............................] - ETA: 1:35 - loss: 155.7365 - logits_profile_predictions_loss: 154.9720 - logcount_predictions_loss: 0.1442 31/715 [>.............................] - ETA: 1:35 - loss: 155.7192 - logits_profile_predictions_loss: 154.9556 - logcount_predictions_loss: 0.1441 32/715 [>.............................] - ETA: 1:35 - loss: 155.6972 - logits_profile_predictions_loss: 154.9342 - logcount_predictions_loss: 0.1440 33/715 [>.............................] - ETA: 1:35 - loss: 155.6744 - logits_profile_predictions_loss: 154.9115 - logcount_predictions_loss: 0.1439 34/715 [>.............................] - ETA: 1:34 - loss: 155.6524 - logits_profile_predictions_loss: 154.8897 - logcount_predictions_loss: 0.1439 35/715 [>.............................] - ETA: 1:34 - loss: 155.6269 - logits_profile_predictions_loss: 154.8644 - logcount_predictions_loss: 0.1439 36/715 [>.............................] - ETA: 1:34 - loss: 155.6028 - logits_profile_predictions_loss: 154.8403 - logcount_predictions_loss: 0.1439 37/715 [>.............................] - ETA: 1:34 - loss: 155.5935 - logits_profile_predictions_loss: 154.8310 - logcount_predictions_loss: 0.1439 38/715 [>.............................] - ETA: 1:34 - loss: 155.5806 - logits_profile_predictions_loss: 154.8179 - logcount_predictions_loss: 0.1439 39/715 [>.............................] - ETA: 1:34 - loss: 155.5653 - logits_profile_predictions_loss: 154.8027 - logcount_predictions_loss: 0.1439 40/715 [>.............................] - ETA: 1:34 - loss: 155.5554 - logits_profile_predictions_loss: 154.7930 - logcount_predictions_loss: 0.1438 41/715 [>.............................] - ETA: 1:33 - loss: 155.5552 - logits_profile_predictions_loss: 154.7928 - logcount_predictions_loss: 0.1438 42/715 [>.............................] - ETA: 1:33 - loss: 155.5575 - logits_profile_predictions_loss: 154.7952 - logcount_predictions_loss: 0.1438 43/715 [>.............................] - ETA: 1:33 - loss: 155.5540 - logits_profile_predictions_loss: 154.7919 - logcount_predictions_loss: 0.1438 44/715 [>.............................] - ETA: 1:33 - loss: 155.5478 - logits_profile_predictions_loss: 154.7857 - logcount_predictions_loss: 0.1438 45/715 [>.............................] - ETA: 1:33 - loss: 155.5464 - logits_profile_predictions_loss: 154.7844 - logcount_predictions_loss: 0.1438 46/715 [>.............................] - ETA: 1:33 - loss: 155.5447 - logits_profile_predictions_loss: 154.7829 - logcount_predictions_loss: 0.1437 47/715 [>.............................] - ETA: 1:33 - loss: 155.5439 - logits_profile_predictions_loss: 154.7822 - logcount_predictions_loss: 0.1437 48/715 [=>............................] - ETA: 1:32 - loss: 155.5509 - logits_profile_predictions_loss: 154.7893 - logcount_predictions_loss: 0.1437 49/715 [=>............................] - ETA: 1:32 - loss: 155.5582 - logits_profile_predictions_loss: 154.7969 - logcount_predictions_loss: 0.1436 50/715 [=>............................] - ETA: 1:32 - loss: 155.5737 - logits_profile_predictions_loss: 154.8126 - logcount_predictions_loss: 0.1436 51/715 [=>............................] - ETA: 1:32 - loss: 155.5946 - logits_profile_predictions_loss: 154.8336 - logcount_predictions_loss: 0.1436 52/715 [=>............................] - ETA: 1:32 - loss: 155.6170 - logits_profile_predictions_loss: 154.8561 - logcount_predictions_loss: 0.1435 53/715 [=>............................] - ETA: 1:32 - loss: 155.6383 - logits_profile_predictions_loss: 154.8775 - logcount_predictions_loss: 0.1435 54/715 [=>............................] - ETA: 1:32 - loss: 155.6559 - logits_profile_predictions_loss: 154.8953 - logcount_predictions_loss: 0.1435 55/715 [=>............................] - ETA: 1:32 - loss: 155.6739 - logits_profile_predictions_loss: 154.9134 - logcount_predictions_loss: 0.1435 56/715 [=>............................] - ETA: 1:31 - loss: 155.6910 - logits_profile_predictions_loss: 154.9306 - logcount_predictions_loss: 0.1435 57/715 [=>............................] - ETA: 1:31 - loss: 155.7096 - logits_profile_predictions_loss: 154.9493 - logcount_predictions_loss: 0.1434 58/715 [=>............................] - ETA: 1:31 - loss: 155.7304 - logits_profile_predictions_loss: 154.9702 - logcount_predictions_loss: 0.1434 59/715 [=>............................] - ETA: 1:31 - loss: 155.7548 - logits_profile_predictions_loss: 154.9949 - logcount_predictions_loss: 0.1434 60/715 [=>............................] - ETA: 1:31 - loss: 155.7729 - logits_profile_predictions_loss: 155.0132 - logcount_predictions_loss: 0.1433 61/715 [=>............................] - ETA: 1:31 - loss: 155.7940 - logits_profile_predictions_loss: 155.0345 - logcount_predictions_loss: 0.1433 62/715 [=>............................] - ETA: 1:31 - loss: 155.8127 - logits_profile_predictions_loss: 155.0534 - logcount_predictions_loss: 0.1433 63/715 [=>............................] - ETA: 1:30 - loss: 155.8288 - logits_profile_predictions_loss: 155.0697 - logcount_predictions_loss: 0.1432 64/715 [=>............................] - ETA: 1:30 - loss: 155.8429 - logits_profile_predictions_loss: 155.0840 - logcount_predictions_loss: 0.1432 65/715 [=>............................] - ETA: 1:30 - loss: 155.8545 - logits_profile_predictions_loss: 155.0960 - logcount_predictions_loss: 0.1431 66/715 [=>............................] - ETA: 1:30 - loss: 155.8680 - logits_profile_predictions_loss: 155.1096 - logcount_predictions_loss: 0.1431 67/715 [=>............................] - ETA: 1:30 - loss: 155.8853 - logits_profile_predictions_loss: 155.1271 - logcount_predictions_loss: 0.1431 68/715 [=>............................] - ETA: 1:30 - loss: 155.9071 - logits_profile_predictions_loss: 155.1490 - logcount_predictions_loss: 0.1430 69/715 [=>............................] - ETA: 1:30 - loss: 155.9267 - logits_profile_predictions_loss: 155.1688 - logcount_predictions_loss: 0.1430 70/715 [=>............................] - ETA: 1:29 - loss: 155.9465 - logits_profile_predictions_loss: 155.1887 - logcount_predictions_loss: 0.1430 71/715 [=>............................] - ETA: 1:29 - loss: 155.9644 - logits_profile_predictions_loss: 155.2067 - logcount_predictions_loss: 0.1430 72/715 [==>...........................] - ETA: 1:29 - loss: 155.9825 - logits_profile_predictions_loss: 155.2248 - logcount_predictions_loss: 0.1430 73/715 [==>...........................] - ETA: 1:29 - loss: 156.0021 - logits_profile_predictions_loss: 155.2444 - logcount_predictions_loss: 0.1430 74/715 [==>...........................] - ETA: 1:29 - loss: 156.0224 - logits_profile_predictions_loss: 155.2647 - logcount_predictions_loss: 0.1429 75/715 [==>...........................] - ETA: 1:29 - loss: 156.0418 - logits_profile_predictions_loss: 155.2841 - logcount_predictions_loss: 0.1429 76/715 [==>...........................] - ETA: 1:29 - loss: 156.0617 - logits_profile_predictions_loss: 155.3040 - logcount_predictions_loss: 0.1430 77/715 [==>...........................] - ETA: 1:28 - loss: 156.0804 - logits_profile_predictions_loss: 155.3227 - logcount_predictions_loss: 0.1430 78/715 [==>...........................] - ETA: 1:28 - loss: 156.0977 - logits_profile_predictions_loss: 155.3400 - logcount_predictions_loss: 0.1430 79/715 [==>...........................] - ETA: 1:28 - loss: 156.1145 - logits_profile_predictions_loss: 155.3567 - logcount_predictions_loss: 0.1430 80/715 [==>...........................] - ETA: 1:28 - loss: 156.1311 - logits_profile_predictions_loss: 155.3732 - logcount_predictions_loss: 0.1430 81/715 [==>...........................] - ETA: 1:28 - loss: 156.1472 - logits_profile_predictions_loss: 155.3893 - logcount_predictions_loss: 0.1430 82/715 [==>...........................] - ETA: 1:28 - loss: 156.1616 - logits_profile_predictions_loss: 155.4037 - logcount_predictions_loss: 0.1430 83/715 [==>...........................] - ETA: 1:28 - loss: 156.1768 - logits_profile_predictions_loss: 155.4188 - logcount_predictions_loss: 0.1430 84/715 [==>...........................] - ETA: 1:27 - loss: 156.1913 - logits_profile_predictions_loss: 155.4331 - logcount_predictions_loss: 0.1430 85/715 [==>...........................] - ETA: 1:27 - loss: 156.2052 - logits_profile_predictions_loss: 155.4470 - logcount_predictions_loss: 0.1430 86/715 [==>...........................] - ETA: 1:27 - loss: 156.2179 - logits_profile_predictions_loss: 155.4597 - logcount_predictions_loss: 0.1431 87/715 [==>...........................] - ETA: 1:27 - loss: 156.2298 - logits_profile_predictions_loss: 155.4715 - logcount_predictions_loss: 0.1431 88/715 [==>...........................] - ETA: 1:27 - loss: 156.2419 - logits_profile_predictions_loss: 155.4836 - logcount_predictions_loss: 0.1431 89/715 [==>...........................] - ETA: 1:27 - loss: 156.2555 - logits_profile_predictions_loss: 155.4972 - logcount_predictions_loss: 0.1431 90/715 [==>...........................] - ETA: 1:27 - loss: 156.2683 - logits_profile_predictions_loss: 155.5100 - logcount_predictions_loss: 0.1431 91/715 [==>...........................] - ETA: 1:26 - loss: 156.2814 - logits_profile_predictions_loss: 155.5231 - logcount_predictions_loss: 0.1431 92/715 [==>...........................] - ETA: 1:26 - loss: 156.2954 - logits_profile_predictions_loss: 155.5369 - logcount_predictions_loss: 0.1431 93/715 [==>...........................] - ETA: 1:26 - loss: 156.3079 - logits_profile_predictions_loss: 155.5495 - logcount_predictions_loss: 0.1431 94/715 [==>...........................] - ETA: 1:26 - loss: 156.3211 - logits_profile_predictions_loss: 155.5626 - logcount_predictions_loss: 0.1431 95/715 [==>...........................] - ETA: 1:26 - loss: 156.3339 - logits_profile_predictions_loss: 155.5753 - logcount_predictions_loss: 0.1431 96/715 [===>..........................] - ETA: 1:26 - loss: 156.3450 - logits_profile_predictions_loss: 155.5864 - logcount_predictions_loss: 0.1431 97/715 [===>..........................] - ETA: 1:26 - loss: 156.3544 - logits_profile_predictions_loss: 155.5957 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[============================>.] - ETA: 2s - loss: 158.3331 - logits_profile_predictions_loss: 157.5866 - logcount_predictions_loss: 0.1408 697/715 [============================>.] - ETA: 2s - loss: 158.3342 - logits_profile_predictions_loss: 157.5877 - logcount_predictions_loss: 0.1408 698/715 [============================>.] - ETA: 2s - loss: 158.3353 - logits_profile_predictions_loss: 157.5889 - logcount_predictions_loss: 0.1408 699/715 [============================>.] - ETA: 2s - loss: 158.3364 - logits_profile_predictions_loss: 157.5900 - logcount_predictions_loss: 0.1408 700/715 [============================>.] - ETA: 2s - loss: 158.3375 - logits_profile_predictions_loss: 157.5912 - logcount_predictions_loss: 0.1408 701/715 [============================>.] - ETA: 1s - loss: 158.3387 - logits_profile_predictions_loss: 157.5923 - logcount_predictions_loss: 0.1408 702/715 [============================>.] - ETA: 1s - loss: 158.3399 - logits_profile_predictions_loss: 157.5935 - logcount_predictions_loss: 0.1408 703/715 [============================>.] - ETA: 1s - loss: 158.3410 - logits_profile_predictions_loss: 157.5947 - logcount_predictions_loss: 0.1408 704/715 [============================>.] - ETA: 1s - loss: 158.3422 - logits_profile_predictions_loss: 157.5959 - logcount_predictions_loss: 0.1408 705/715 [============================>.] - ETA: 1s - loss: 158.3434 - logits_profile_predictions_loss: 157.5971 - logcount_predictions_loss: 0.1408 706/715 [============================>.] - ETA: 1s - loss: 158.3446 - logits_profile_predictions_loss: 157.5983 - logcount_predictions_loss: 0.1408 707/715 [============================>.] - ETA: 1s - loss: 158.3458 - logits_profile_predictions_loss: 157.5995 - logcount_predictions_loss: 0.1408 708/715 [============================>.] - ETA: 0s - loss: 158.3469 - logits_profile_predictions_loss: 157.6007 - logcount_predictions_loss: 0.1408 709/715 [============================>.] - ETA: 0s - loss: 158.3480 - logits_profile_predictions_loss: 157.6018 - logcount_predictions_loss: 0.1408 710/715 [============================>.] - ETA: 0s - loss: 158.3491 - logits_profile_predictions_loss: 157.6029 - logcount_predictions_loss: 0.1408 711/715 [============================>.] - ETA: 0s - loss: 158.3502 - logits_profile_predictions_loss: 157.6040 - logcount_predictions_loss: 0.1408 712/715 [============================>.] - ETA: 0s - loss: 158.3513 - logits_profile_predictions_loss: 157.6051 - logcount_predictions_loss: 0.1408 713/715 [============================>.] - ETA: 0s - loss: 158.3523 - logits_profile_predictions_loss: 157.6062 - logcount_predictions_loss: 0.1408 714/715 [============================>.] - ETA: 0s - loss: 158.3534 - logits_profile_predictions_loss: 157.6073 - logcount_predictions_loss: 0.1408 715/715 [==============================] - ETA: 0s - loss: 158.3545 - logits_profile_predictions_loss: 157.6084 - logcount_predictions_loss: 0.1408 715/715 [==============================] - 104s 146ms/step - loss: 158.3555 - logits_profile_predictions_loss: 157.6094 - logcount_predictions_loss: 0.1408 - val_loss: 170.3059 - val_logits_profile_predictions_loss: 169.6477 - val_logcount_predictions_loss: 0.1242 + +Epoch 00011: val_loss did not improve from 169.21584 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-09-22_23-31-41: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(10498, 10) +loading nonpeaks... +got split:test for bed regions:(12400, 10) +0/90 +2022-09-22_23-32-44: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(10498, 10) +loading nonpeaks... +got split:test for bed regions:(12400, 10) +0/90 +2022-09-22_23-33-44: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_4//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(10498, 10) +loading nonpeaks... +got split:test for bed regions:(12400, 10) +0/90 +2022-09-22_23-34-23: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_23-34-23: 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/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:03 3/11 [=======>......................] - ETA: 2s  4/11 [=========>....................] - ETA: 2s 5/11 [============>.................] - ETA: 2s 6/11 [===============>..............] - ETA: 2s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 14s 787ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 638ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 638ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 640ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 640ms/step +Saving marginal footprints +2022-09-22_23-35-44: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_23-35-44: 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/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 25s 3/11 [=======>......................] - ETA: 0s  5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 3s 66ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +Saving marginal footprints diff --git a/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stdout_v1.txt b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..885d76eefd96988175a19a33c3bf54472880da01 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR609GST/logfile.modelling.fold_4.ENCSR609GST.stdout_v1.txt @@ -0,0 +1,443 @@ +2022-09-22_23-09-32: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR609GST//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/ENCSR609GST//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: 46175 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 46175 +Number of peaks input: 10498 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 10498 +Number of non peaks input: 44272 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 44272 +Number of non peaks input: 12400 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 12400 +Number of peaks after removing outliers: 45661 +Number of nonpeaks after removing outliers: 38692 +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 + 1/1210 [..............................] - ETA: 2:19:46 12/1210 [..............................] - ETA: 5s  23/1210 [..............................] - ETA: 5s 34/1210 [..............................] - ETA: 5s 46/1210 [>.............................] - ETA: 5s 58/1210 [>.............................] - ETA: 5s 70/1210 [>.............................] - ETA: 5s 82/1210 [=>............................] - ETA: 5s 93/1210 [=>............................] - ETA: 5s 105/1210 [=>............................] - ETA: 5s 117/1210 [=>............................] - ETA: 5s 129/1210 [==>...........................] - ETA: 4s 141/1210 [==>...........................] - ETA: 4s 153/1210 [==>...........................] - ETA: 4s 165/1210 [===>..........................] - ETA: 4s 177/1210 [===>..........................] - ETA: 4s 188/1210 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[==========================>...] - ETA: 0s 1101/1210 [==========================>...] - ETA: 0s 1113/1210 [==========================>...] - ETA: 0s 1125/1210 [==========================>...] - ETA: 0s 1137/1210 [===========================>..] - ETA: 0s 1149/1210 [===========================>..] - ETA: 0s 1161/1210 [===========================>..] - ETA: 0s 1173/1210 [============================>.] - ETA: 0s 1185/1210 [============================>.] - ETA: 0s 1197/1210 [============================>.] - ETA: 0s 1208/1210 [============================>.] - ETA: 0s 1210/1210 [==============================] - 12s 5ms/step +2022-09-22_23-10-52: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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': '5.3', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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:(41588, 10) +loading nonpeaks... +got split:train for bed regions:(35530, 10) +loading peaks... +got split:valid for bed regions:(4073, 10) +loading nonpeaks... +got split:valid for bed regions:(3162, 10) +Epoch 1/50 + 1/715 [..............................] - ETA: 1:08:48 - loss: 177.9649 - logits_profile_predictions_loss: 173.4046 - logcount_predictions_loss: 0.8604 2/715 [..............................] - ETA: 1:39 - loss: 1031.0679 - logits_profile_predictions_loss: 175.4738 - logcount_predictions_loss: 161.4328 3/715 [..............................] - ETA: 1:39 - loss: 1127.0413 - logits_profile_predictions_loss: 176.7093 - logcount_predictions_loss: 179.3079 4/715 [..............................] - ETA: 1:39 - loss: 1103.7389 - logits_profile_predictions_loss: 176.9508 - logcount_predictions_loss: 174.8657 5/715 [..............................] - ETA: 1:38 - loss: 1055.8695 - logits_profile_predictions_loss: 177.2096 - logcount_predictions_loss: 165.7849 6/715 [..............................] - ETA: 1:38 - loss: 1004.9249 - logits_profile_predictions_loss: 177.2516 - logcount_predictions_loss: 156.1648 7/715 [..............................] - ETA: 1:38 - loss: 956.7153 - logits_profile_predictions_loss: 177.0268 - logcount_predictions_loss: 147.1110  8/715 [..............................] - ETA: 1:38 - loss: 912.7780 - logits_profile_predictions_loss: 176.6793 - logcount_predictions_loss: 138.8865 9/715 [..............................] - ETA: 1:38 - loss: 873.3299 - logits_profile_predictions_loss: 176.3791 - logcount_predictions_loss: 131.5001 10/715 [..............................] - ETA: 1:37 - loss: 837.9921 - logits_profile_predictions_loss: 176.1394 - logcount_predictions_loss: 124.8779 11/715 [..............................] - ETA: 1:37 - loss: 806.1732 - logits_profile_predictions_loss: 175.8579 - logcount_predictions_loss: 118.9274 12/715 [..............................] - ETA: 1:37 - loss: 777.4440 - logits_profile_predictions_loss: 175.5619 - logcount_predictions_loss: 113.5626 13/715 [..............................] - ETA: 1:37 - loss: 751.4064 - logits_profile_predictions_loss: 175.2626 - logcount_predictions_loss: 108.7064 14/715 [..............................] - ETA: 1:37 - loss: 727.7275 - logits_profile_predictions_loss: 174.9816 - logcount_predictions_loss: 104.2917 15/715 [..............................] - ETA: 1:37 - loss: 706.0402 - logits_profile_predictions_loss: 174.6572 - logcount_predictions_loss: 100.2610 16/715 [..............................] - ETA: 1:37 - loss: 686.1295 - logits_profile_predictions_loss: 174.3290 - logcount_predictions_loss: 96.5661  17/715 [..............................] - ETA: 1:37 - loss: 667.8633 - logits_profile_predictions_loss: 174.0755 - logcount_predictions_loss: 93.1675 18/715 [..............................] - ETA: 1:36 - loss: 651.0297 - logits_profile_predictions_loss: 173.8686 - logcount_predictions_loss: 90.0304 19/715 [..............................] - ETA: 1:36 - loss: 635.4046 - logits_profile_predictions_loss: 173.6468 - logcount_predictions_loss: 87.1241 20/715 [..............................] - ETA: 1:36 - loss: 620.9064 - logits_profile_predictions_loss: 173.4585 - logcount_predictions_loss: 84.4241 21/715 [..............................] - ETA: 1:36 - loss: 607.3892 - logits_profile_predictions_loss: 173.2750 - logcount_predictions_loss: 81.9083 22/715 [..............................] - ETA: 1:36 - loss: 594.7376 - logits_profile_predictions_loss: 173.0812 - logcount_predictions_loss: 79.5578 23/715 [..............................] - ETA: 1:36 - loss: 582.9302 - logits_profile_predictions_loss: 172.9364 - logcount_predictions_loss: 77.3573 24/715 [>.............................] - ETA: 1:35 - loss: 571.8300 - logits_profile_predictions_loss: 172.7850 - logcount_predictions_loss: 75.2915 25/715 [>.............................] - ETA: 1:35 - loss: 561.4178 - logits_profile_predictions_loss: 172.6698 - logcount_predictions_loss: 73.3487 26/715 [>.............................] - ETA: 1:35 - loss: 551.6178 - logits_profile_predictions_loss: 172.5751 - logcount_predictions_loss: 71.5175 27/715 [>.............................] - ETA: 1:35 - loss: 542.3511 - logits_profile_predictions_loss: 172.4757 - logcount_predictions_loss: 69.7878 28/715 [>.............................] - ETA: 1:35 - loss: 533.5865 - logits_profile_predictions_loss: 172.3844 - logcount_predictions_loss: 68.1513 29/715 [>.............................] - ETA: 1:35 - loss: 525.2656 - logits_profile_predictions_loss: 172.2849 - logcount_predictions_loss: 66.6001 30/715 [>.............................] - ETA: 1:35 - loss: 517.3783 - logits_profile_predictions_loss: 172.2006 - logcount_predictions_loss: 65.1279 31/715 [>.............................] - ETA: 1:34 - loss: 509.8780 - logits_profile_predictions_loss: 172.1175 - logcount_predictions_loss: 63.7284 32/715 [>.............................] - ETA: 1:34 - loss: 502.7395 - logits_profile_predictions_loss: 172.0397 - logcount_predictions_loss: 62.3962 33/715 [>.............................] - ETA: 1:34 - loss: 495.9532 - logits_profile_predictions_loss: 171.9830 - logcount_predictions_loss: 61.1265 34/715 [>.............................] - ETA: 1:34 - loss: 489.4787 - logits_profile_predictions_loss: 171.9309 - logcount_predictions_loss: 59.9147 35/715 [>.............................] - ETA: 1:34 - loss: 483.2908 - logits_profile_predictions_loss: 171.8803 - logcount_predictions_loss: 58.7567 36/715 [>.............................] - ETA: 1:34 - 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val_logits_profile_predictions_loss: 170.0434 - val_logcount_predictions_loss: 0.1765 + +Epoch 00002: val_loss improved from 172.78024 to 170.97865, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 3/50 + 1/715 [..............................] - ETA: 1:57 - loss: 173.0607 - logits_profile_predictions_loss: 172.0150 - logcount_predictions_loss: 0.1973 2/715 [..............................] - ETA: 1:46 - loss: 168.9074 - logits_profile_predictions_loss: 167.8579 - logcount_predictions_loss: 0.1980 3/715 [..............................] - ETA: 1:42 - loss: 166.8694 - logits_profile_predictions_loss: 165.8314 - logcount_predictions_loss: 0.1958 4/715 [..............................] - ETA: 1:41 - loss: 166.0086 - logits_profile_predictions_loss: 164.9541 - logcount_predictions_loss: 0.1990 5/715 [..............................] - ETA: 1:40 - loss: 165.3282 - logits_profile_predictions_loss: 164.2570 - 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[=>............................] - ETA: 1:31 - loss: 163.4621 - logits_profile_predictions_loss: 162.5479 - logcount_predictions_loss: 0.1725 54/715 [=>............................] - ETA: 1:31 - loss: 163.4482 - logits_profile_predictions_loss: 162.5343 - logcount_predictions_loss: 0.1724 55/715 [=>............................] - ETA: 1:31 - loss: 163.4381 - logits_profile_predictions_loss: 162.5246 - logcount_predictions_loss: 0.1724 56/715 [=>............................] - ETA: 1:31 - loss: 163.4254 - logits_profile_predictions_loss: 162.5122 - logcount_predictions_loss: 0.1723 57/715 [=>............................] - ETA: 1:31 - loss: 163.4175 - logits_profile_predictions_loss: 162.5048 - logcount_predictions_loss: 0.1722 58/715 [=>............................] - ETA: 1:31 - loss: 163.4121 - logits_profile_predictions_loss: 162.4998 - logcount_predictions_loss: 0.1721 59/715 [=>............................] - ETA: 1:30 - loss: 163.4060 - logits_profile_predictions_loss: 162.4941 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logits_profile_predictions_loss: 162.4943 - logcount_predictions_loss: 0.1729 712/715 [============================>.] - ETA: 0s - loss: 163.4107 - logits_profile_predictions_loss: 162.4943 - logcount_predictions_loss: 0.1729 713/715 [============================>.] - ETA: 0s - loss: 163.4107 - logits_profile_predictions_loss: 162.4943 - logcount_predictions_loss: 0.1729 714/715 [============================>.] - ETA: 0s - loss: 163.4108 - logits_profile_predictions_loss: 162.4944 - logcount_predictions_loss: 0.1729 715/715 [==============================] - ETA: 0s - loss: 163.4108 - logits_profile_predictions_loss: 162.4944 - logcount_predictions_loss: 0.1729 715/715 [==============================] - 103s 145ms/step - loss: 163.4109 - logits_profile_predictions_loss: 162.4944 - logcount_predictions_loss: 0.1729 - val_loss: 169.4371 - val_logits_profile_predictions_loss: 168.6694 - val_logcount_predictions_loss: 0.1449 + +Epoch 00005: val_loss improved from 169.76630 to 169.43709, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4/chrombpnet.h5 +Epoch 6/50 + 1/715 [..............................] - ETA: 1:57 - loss: 175.3262 - logits_profile_predictions_loss: 174.3044 - logcount_predictions_loss: 0.1928 2/715 [..............................] - ETA: 1:39 - loss: 172.5918 - logits_profile_predictions_loss: 171.6593 - logcount_predictions_loss: 0.1759 3/715 [..............................] - ETA: 1:39 - loss: 171.2683 - logits_profile_predictions_loss: 170.3754 - logcount_predictions_loss: 0.1685 4/715 [..............................] - ETA: 1:39 - loss: 169.5308 - logits_profile_predictions_loss: 168.6627 - logcount_predictions_loss: 0.1638 5/715 [..............................] - ETA: 1:38 - loss: 168.3959 - logits_profile_predictions_loss: 167.5332 - logcount_predictions_loss: 0.1628 6/715 [..............................] - ETA: 1:38 - loss: 167.7691 - logits_profile_predictions_loss: 166.9107 - 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[..............................] - ETA: 1:36 - loss: 164.8214 - logits_profile_predictions_loss: 163.9861 - logcount_predictions_loss: 0.1576 21/715 [..............................] - ETA: 1:36 - loss: 164.7345 - logits_profile_predictions_loss: 163.9004 - logcount_predictions_loss: 0.1574 22/715 [..............................] - ETA: 1:36 - loss: 164.6798 - logits_profile_predictions_loss: 163.8468 - logcount_predictions_loss: 0.1572 23/715 [..............................] - ETA: 1:35 - loss: 164.6229 - logits_profile_predictions_loss: 163.7910 - logcount_predictions_loss: 0.1569 24/715 [>.............................] - ETA: 1:35 - loss: 164.5526 - logits_profile_predictions_loss: 163.7216 - logcount_predictions_loss: 0.1568 25/715 [>.............................] - ETA: 1:35 - loss: 164.4840 - logits_profile_predictions_loss: 163.6537 - logcount_predictions_loss: 0.1567 26/715 [>.............................] - ETA: 1:35 - loss: 164.3996 - logits_profile_predictions_loss: 163.5701 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[>.............................] - ETA: 1:33 - loss: 163.7474 - logits_profile_predictions_loss: 162.9179 - logcount_predictions_loss: 0.1565 41/715 [>.............................] - ETA: 1:33 - loss: 163.7175 - logits_profile_predictions_loss: 162.8880 - logcount_predictions_loss: 0.1565 42/715 [>.............................] - ETA: 1:33 - loss: 163.6901 - logits_profile_predictions_loss: 162.8605 - logcount_predictions_loss: 0.1565 43/715 [>.............................] - ETA: 1:33 - loss: 163.6594 - logits_profile_predictions_loss: 162.8297 - logcount_predictions_loss: 0.1565 44/715 [>.............................] - ETA: 1:32 - loss: 163.6318 - logits_profile_predictions_loss: 162.8020 - logcount_predictions_loss: 0.1566 45/715 [>.............................] - ETA: 1:32 - loss: 163.6125 - logits_profile_predictions_loss: 162.7826 - logcount_predictions_loss: 0.1566 46/715 [>.............................] - ETA: 1:32 - loss: 163.5917 - logits_profile_predictions_loss: 162.7618 - logcount_predictions_loss: 0.1566 47/715 [>.............................] - ETA: 1:32 - loss: 163.5741 - logits_profile_predictions_loss: 162.7441 - logcount_predictions_loss: 0.1566 48/715 [=>............................] - ETA: 1:32 - loss: 163.5604 - logits_profile_predictions_loss: 162.7305 - logcount_predictions_loss: 0.1566 49/715 [=>............................] - ETA: 1:32 - loss: 163.5528 - logits_profile_predictions_loss: 162.7227 - logcount_predictions_loss: 0.1566 50/715 [=>............................] - ETA: 1:32 - loss: 163.5401 - logits_profile_predictions_loss: 162.7100 - logcount_predictions_loss: 0.1566 51/715 [=>............................] - ETA: 1:31 - loss: 163.5275 - logits_profile_predictions_loss: 162.6974 - logcount_predictions_loss: 0.1566 52/715 [=>............................] - ETA: 1:31 - loss: 163.5130 - logits_profile_predictions_loss: 162.6827 - logcount_predictions_loss: 0.1567 53/715 [=>............................] - ETA: 1:31 - loss: 163.4962 - 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[=>............................] - ETA: 1:30 - loss: 163.4167 - logits_profile_predictions_loss: 162.5850 - logcount_predictions_loss: 0.1569 61/715 [=>............................] - ETA: 1:30 - loss: 163.4104 - logits_profile_predictions_loss: 162.5784 - logcount_predictions_loss: 0.1570 62/715 [=>............................] - ETA: 1:30 - loss: 163.4068 - logits_profile_predictions_loss: 162.5746 - logcount_predictions_loss: 0.1570 63/715 [=>............................] - ETA: 1:30 - loss: 163.3989 - logits_profile_predictions_loss: 162.5665 - logcount_predictions_loss: 0.1571 64/715 [=>............................] - ETA: 1:30 - loss: 163.3902 - logits_profile_predictions_loss: 162.5576 - logcount_predictions_loss: 0.1571 65/715 [=>............................] - ETA: 1:30 - loss: 163.3819 - logits_profile_predictions_loss: 162.5491 - logcount_predictions_loss: 0.1571 66/715 [=>............................] - ETA: 1:29 - loss: 163.3759 - logits_profile_predictions_loss: 162.5428 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[=>............................] - ETA: 1:30 - loss: 162.9177 - logits_profile_predictions_loss: 162.0664 - logcount_predictions_loss: 0.1606 61/715 [=>............................] - ETA: 1:30 - loss: 162.9283 - logits_profile_predictions_loss: 162.0772 - logcount_predictions_loss: 0.1606 62/715 [=>............................] - ETA: 1:30 - loss: 162.9410 - logits_profile_predictions_loss: 162.0902 - logcount_predictions_loss: 0.1605 63/715 [=>............................] - ETA: 1:30 - loss: 162.9539 - logits_profile_predictions_loss: 162.1034 - logcount_predictions_loss: 0.1605 64/715 [=>............................] - ETA: 1:30 - loss: 162.9646 - logits_profile_predictions_loss: 162.1143 - logcount_predictions_loss: 0.1604 65/715 [=>............................] - ETA: 1:30 - loss: 162.9715 - logits_profile_predictions_loss: 162.1215 - logcount_predictions_loss: 0.1604 66/715 [=>............................] - ETA: 1:30 - loss: 162.9756 - logits_profile_predictions_loss: 162.1259 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[==>...........................] - ETA: 1:28 - loss: 162.9921 - logits_profile_predictions_loss: 162.1448 - logcount_predictions_loss: 0.1599 81/715 [==>...........................] - ETA: 1:27 - loss: 162.9903 - logits_profile_predictions_loss: 162.1429 - logcount_predictions_loss: 0.1599 82/715 [==>...........................] - ETA: 1:27 - loss: 162.9866 - logits_profile_predictions_loss: 162.1391 - logcount_predictions_loss: 0.1599 83/715 [==>...........................] - ETA: 1:27 - loss: 162.9827 - logits_profile_predictions_loss: 162.1352 - logcount_predictions_loss: 0.1599 84/715 [==>...........................] - ETA: 1:27 - loss: 162.9771 - logits_profile_predictions_loss: 162.1296 - logcount_predictions_loss: 0.1599 85/715 [==>...........................] - ETA: 1:27 - loss: 162.9711 - logits_profile_predictions_loss: 162.1236 - logcount_predictions_loss: 0.1599 86/715 [==>...........................] - ETA: 1:27 - loss: 162.9651 - logits_profile_predictions_loss: 162.1176 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logcount_predictions_loss: 0.1628 712/715 [============================>.] - ETA: 0s - loss: 162.4838 - logits_profile_predictions_loss: 161.6211 - logcount_predictions_loss: 0.1628 713/715 [============================>.] - ETA: 0s - loss: 162.4842 - logits_profile_predictions_loss: 161.6215 - logcount_predictions_loss: 0.1628 714/715 [============================>.] - ETA: 0s - loss: 162.4846 - logits_profile_predictions_loss: 161.6218 - logcount_predictions_loss: 0.1628 715/715 [==============================] - ETA: 0s - loss: 162.4849 - logits_profile_predictions_loss: 161.6221 - logcount_predictions_loss: 0.1628 715/715 [==============================] - 104s 145ms/step - loss: 162.4852 - logits_profile_predictions_loss: 161.6224 - logcount_predictions_loss: 0.1628 - val_loss: 169.4414 - val_logits_profile_predictions_loss: 168.7259 - val_logcount_predictions_loss: 0.1350 + +Epoch 00007: val_loss did not improve from 169.21584 +Epoch 8/50 + 1/715 [..............................] 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[>.............................] - ETA: 1:35 - loss: 164.5890 - logits_profile_predictions_loss: 163.6672 - logcount_predictions_loss: 0.1739 29/715 [>.............................] - ETA: 1:35 - loss: 164.5192 - logits_profile_predictions_loss: 163.5930 - logcount_predictions_loss: 0.1747 30/715 [>.............................] - ETA: 1:35 - loss: 164.4623 - logits_profile_predictions_loss: 163.5320 - logcount_predictions_loss: 0.1755 31/715 [>.............................] - ETA: 1:35 - loss: 164.4065 - logits_profile_predictions_loss: 163.4725 - logcount_predictions_loss: 0.1762 32/715 [>.............................] - ETA: 1:34 - loss: 164.3429 - logits_profile_predictions_loss: 163.4057 - logcount_predictions_loss: 0.1768 33/715 [>.............................] - ETA: 1:34 - loss: 164.2859 - logits_profile_predictions_loss: 163.3457 - logcount_predictions_loss: 0.1774 34/715 [>.............................] - ETA: 1:34 - loss: 164.2351 - logits_profile_predictions_loss: 163.2923 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[=>............................] - ETA: 1:32 - loss: 163.7563 - logits_profile_predictions_loss: 162.7896 - logcount_predictions_loss: 0.1824 49/715 [=>............................] - ETA: 1:32 - loss: 163.7293 - logits_profile_predictions_loss: 162.7618 - logcount_predictions_loss: 0.1825 50/715 [=>............................] - ETA: 1:32 - loss: 163.7065 - logits_profile_predictions_loss: 162.7383 - logcount_predictions_loss: 0.1827 51/715 [=>............................] - ETA: 1:32 - loss: 163.6770 - logits_profile_predictions_loss: 162.7083 - logcount_predictions_loss: 0.1828 52/715 [=>............................] - ETA: 1:31 - loss: 163.6535 - logits_profile_predictions_loss: 162.6841 - logcount_predictions_loss: 0.1829 53/715 [=>............................] - ETA: 1:31 - loss: 163.6324 - logits_profile_predictions_loss: 162.6625 - logcount_predictions_loss: 0.1830 54/715 [=>............................] - ETA: 1:31 - loss: 163.6152 - logits_profile_predictions_loss: 162.6449 - logcount_predictions_loss: 0.1831 55/715 [=>............................] - ETA: 1:31 - loss: 163.5948 - logits_profile_predictions_loss: 162.6241 - logcount_predictions_loss: 0.1831 56/715 [=>............................] - ETA: 1:31 - loss: 163.5707 - logits_profile_predictions_loss: 162.5997 - logcount_predictions_loss: 0.1832 57/715 [=>............................] - ETA: 1:31 - loss: 163.5417 - logits_profile_predictions_loss: 162.5703 - logcount_predictions_loss: 0.1833 58/715 [=>............................] - ETA: 1:31 - loss: 163.5182 - logits_profile_predictions_loss: 162.5462 - logcount_predictions_loss: 0.1834 59/715 [=>............................] - ETA: 1:30 - loss: 163.4964 - logits_profile_predictions_loss: 162.5240 - logcount_predictions_loss: 0.1835 60/715 [=>............................] - ETA: 1:30 - loss: 163.4758 - logits_profile_predictions_loss: 162.5030 - logcount_predictions_loss: 0.1836 61/715 [=>............................] - ETA: 1:30 - loss: 163.4537 - 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[=>............................] - ETA: 1:29 - loss: 163.3049 - logits_profile_predictions_loss: 162.3313 - logcount_predictions_loss: 0.1837 69/715 [=>............................] - ETA: 1:29 - loss: 163.2875 - logits_profile_predictions_loss: 162.3139 - logcount_predictions_loss: 0.1837 70/715 [=>............................] - ETA: 1:29 - loss: 163.2707 - logits_profile_predictions_loss: 162.2971 - logcount_predictions_loss: 0.1837 71/715 [=>............................] - ETA: 1:29 - loss: 163.2530 - logits_profile_predictions_loss: 162.2795 - logcount_predictions_loss: 0.1837 72/715 [==>...........................] - ETA: 1:29 - loss: 163.2327 - logits_profile_predictions_loss: 162.2594 - logcount_predictions_loss: 0.1836 73/715 [==>...........................] - ETA: 1:29 - loss: 163.2147 - logits_profile_predictions_loss: 162.2416 - logcount_predictions_loss: 0.1836 74/715 [==>...........................] - ETA: 1:28 - loss: 163.1969 - logits_profile_predictions_loss: 162.2240 - logcount_predictions_loss: 0.1836 75/715 [==>...........................] - ETA: 1:28 - loss: 163.1767 - logits_profile_predictions_loss: 162.2040 - logcount_predictions_loss: 0.1835 76/715 [==>...........................] - ETA: 1:28 - loss: 163.1557 - logits_profile_predictions_loss: 162.1832 - logcount_predictions_loss: 0.1835 77/715 [==>...........................] - ETA: 1:28 - loss: 163.1359 - logits_profile_predictions_loss: 162.1637 - logcount_predictions_loss: 0.1834 78/715 [==>...........................] - ETA: 1:28 - loss: 163.1171 - logits_profile_predictions_loss: 162.1452 - logcount_predictions_loss: 0.1834 79/715 [==>...........................] - ETA: 1:28 - loss: 163.0994 - logits_profile_predictions_loss: 162.1277 - logcount_predictions_loss: 0.1833 80/715 [==>...........................] - ETA: 1:28 - loss: 163.0839 - logits_profile_predictions_loss: 162.1124 - logcount_predictions_loss: 0.1833 81/715 [==>...........................] - ETA: 1:27 - loss: 163.0698 - logits_profile_predictions_loss: 162.0986 - logcount_predictions_loss: 0.1832 82/715 [==>...........................] - ETA: 1:27 - loss: 163.0558 - logits_profile_predictions_loss: 162.0849 - logcount_predictions_loss: 0.1832 83/715 [==>...........................] - ETA: 1:27 - loss: 163.0395 - logits_profile_predictions_loss: 162.0689 - logcount_predictions_loss: 0.1831 84/715 [==>...........................] - ETA: 1:27 - loss: 163.0240 - logits_profile_predictions_loss: 162.0537 - logcount_predictions_loss: 0.1831 85/715 [==>...........................] - ETA: 1:27 - loss: 163.0068 - logits_profile_predictions_loss: 162.0368 - logcount_predictions_loss: 0.1830 86/715 [==>...........................] - ETA: 1:27 - loss: 162.9895 - logits_profile_predictions_loss: 162.0197 - logcount_predictions_loss: 0.1830 87/715 [==>...........................] - ETA: 1:27 - loss: 162.9726 - logits_profile_predictions_loss: 162.0032 - logcount_predictions_loss: 0.1829 88/715 [==>...........................] - ETA: 1:26 - loss: 162.9542 - logits_profile_predictions_loss: 161.9851 - logcount_predictions_loss: 0.1828 89/715 [==>...........................] - ETA: 1:26 - loss: 162.9391 - logits_profile_predictions_loss: 161.9704 - logcount_predictions_loss: 0.1828 90/715 [==>...........................] - ETA: 1:26 - loss: 162.9249 - logits_profile_predictions_loss: 161.9565 - logcount_predictions_loss: 0.1827 91/715 [==>...........................] - ETA: 1:26 - loss: 162.9113 - logits_profile_predictions_loss: 161.9432 - logcount_predictions_loss: 0.1826 92/715 [==>...........................] - ETA: 1:26 - loss: 162.8972 - logits_profile_predictions_loss: 161.9296 - logcount_predictions_loss: 0.1826 93/715 [==>...........................] - ETA: 1:26 - loss: 162.8834 - logits_profile_predictions_loss: 161.9161 - logcount_predictions_loss: 0.1825 94/715 [==>...........................] - ETA: 1:26 - loss: 162.8698 - logits_profile_predictions_loss: 161.9029 - logcount_predictions_loss: 0.1824 95/715 [==>...........................] - ETA: 1:25 - loss: 162.8572 - logits_profile_predictions_loss: 161.8908 - logcount_predictions_loss: 0.1823 96/715 [===>..........................] - ETA: 1:25 - loss: 162.8446 - logits_profile_predictions_loss: 161.8786 - logcount_predictions_loss: 0.1823 97/715 [===>..........................] - ETA: 1:25 - loss: 162.8327 - logits_profile_predictions_loss: 161.8671 - logcount_predictions_loss: 0.1822 98/715 [===>..........................] - ETA: 1:25 - loss: 162.8206 - logits_profile_predictions_loss: 161.8555 - logcount_predictions_loss: 0.1821 99/715 [===>..........................] - ETA: 1:25 - loss: 162.8104 - logits_profile_predictions_loss: 161.8456 - logcount_predictions_loss: 0.1820 100/715 [===>..........................] - ETA: 1:25 - loss: 162.8014 - logits_profile_predictions_loss: 161.8371 - logcount_predictions_loss: 0.1820 101/715 [===>..........................] - ETA: 1:25 - loss: 162.7944 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logits_profile_predictions_loss: 161.3860 - logcount_predictions_loss: 0.1671 707/715 [============================>.] - ETA: 1s - loss: 162.2713 - logits_profile_predictions_loss: 161.3858 - logcount_predictions_loss: 0.1671 708/715 [============================>.] - ETA: 0s - loss: 162.2711 - logits_profile_predictions_loss: 161.3857 - logcount_predictions_loss: 0.1671 709/715 [============================>.] - ETA: 0s - loss: 162.2710 - logits_profile_predictions_loss: 161.3856 - logcount_predictions_loss: 0.1670 710/715 [============================>.] - ETA: 0s - loss: 162.2708 - logits_profile_predictions_loss: 161.3855 - logcount_predictions_loss: 0.1670 711/715 [============================>.] - ETA: 0s - loss: 162.2707 - logits_profile_predictions_loss: 161.3854 - logcount_predictions_loss: 0.1670 712/715 [============================>.] - ETA: 0s - loss: 162.2705 - logits_profile_predictions_loss: 161.3853 - logcount_predictions_loss: 0.1670 713/715 [============================>.] - ETA: 0s - loss: 162.2704 - logits_profile_predictions_loss: 161.3852 - logcount_predictions_loss: 0.1670 714/715 [============================>.] - ETA: 0s - loss: 162.2703 - logits_profile_predictions_loss: 161.3852 - logcount_predictions_loss: 0.1670 715/715 [==============================] - ETA: 0s - loss: 162.2701 - logits_profile_predictions_loss: 161.3851 - logcount_predictions_loss: 0.1670 715/715 [==============================] - 103s 145ms/step - loss: 162.2700 - logits_profile_predictions_loss: 161.3850 - logcount_predictions_loss: 0.1670 - val_loss: 169.3980 - val_logits_profile_predictions_loss: 168.7122 - val_logcount_predictions_loss: 0.1294 + +Epoch 00008: val_loss did not improve from 169.21584 +Epoch 9/50 + 1/715 [..............................] - ETA: 1:55 - loss: 161.2641 - logits_profile_predictions_loss: 160.2565 - logcount_predictions_loss: 0.1901 2/715 [..............................] - ETA: 1:38 - loss: 160.3846 - logits_profile_predictions_loss: 159.4121 - logcount_predictions_loss: 0.1835 3/715 [..............................] - ETA: 1:38 - loss: 159.2668 - logits_profile_predictions_loss: 158.3342 - logcount_predictions_loss: 0.1760 4/715 [..............................] - ETA: 1:38 - loss: 158.8013 - logits_profile_predictions_loss: 157.8924 - logcount_predictions_loss: 0.1715 5/715 [..............................] - ETA: 1:38 - loss: 158.8938 - logits_profile_predictions_loss: 157.9984 - logcount_predictions_loss: 0.1689 6/715 [..............................] - ETA: 1:38 - loss: 158.9974 - logits_profile_predictions_loss: 158.1046 - logcount_predictions_loss: 0.1685 7/715 [..............................] - ETA: 1:37 - loss: 159.1507 - logits_profile_predictions_loss: 158.2648 - logcount_predictions_loss: 0.1672 8/715 [..............................] - ETA: 1:37 - loss: 159.1433 - logits_profile_predictions_loss: 158.2684 - logcount_predictions_loss: 0.1651 9/715 [..............................] - ETA: 1:37 - loss: 159.1442 - logits_profile_predictions_loss: 158.2712 - logcount_predictions_loss: 0.1647 10/715 [..............................] - ETA: 1:37 - loss: 159.1824 - logits_profile_predictions_loss: 158.3086 - logcount_predictions_loss: 0.1649 11/715 [..............................] - ETA: 1:37 - loss: 159.1888 - logits_profile_predictions_loss: 158.3142 - logcount_predictions_loss: 0.1650 12/715 [..............................] - ETA: 1:37 - loss: 159.1961 - logits_profile_predictions_loss: 158.3227 - logcount_predictions_loss: 0.1648 13/715 [..............................] - ETA: 1:37 - loss: 159.1699 - logits_profile_predictions_loss: 158.2974 - logcount_predictions_loss: 0.1646 14/715 [..............................] - ETA: 1:37 - loss: 159.2471 - logits_profile_predictions_loss: 158.3746 - logcount_predictions_loss: 0.1646 15/715 [..............................] - ETA: 1:36 - loss: 159.2807 - logits_profile_predictions_loss: 158.4088 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[>.............................] - ETA: 1:34 - loss: 159.9725 - logits_profile_predictions_loss: 159.1114 - logcount_predictions_loss: 0.1625 30/715 [>.............................] - ETA: 1:34 - loss: 159.9961 - logits_profile_predictions_loss: 159.1356 - logcount_predictions_loss: 0.1624 31/715 [>.............................] - ETA: 1:34 - loss: 160.0326 - logits_profile_predictions_loss: 159.1722 - logcount_predictions_loss: 0.1623 32/715 [>.............................] - ETA: 1:34 - loss: 160.0684 - logits_profile_predictions_loss: 159.2079 - logcount_predictions_loss: 0.1624 33/715 [>.............................] - ETA: 1:34 - loss: 160.1054 - logits_profile_predictions_loss: 159.2448 - logcount_predictions_loss: 0.1624 34/715 [>.............................] - ETA: 1:34 - loss: 160.1459 - logits_profile_predictions_loss: 159.2851 - logcount_predictions_loss: 0.1624 35/715 [>.............................] - ETA: 1:34 - loss: 160.1804 - logits_profile_predictions_loss: 159.3194 - logcount_predictions_loss: 0.1624 36/715 [>.............................] - ETA: 1:33 - loss: 160.2067 - logits_profile_predictions_loss: 159.3454 - logcount_predictions_loss: 0.1625 37/715 [>.............................] - ETA: 1:33 - loss: 160.2283 - logits_profile_predictions_loss: 159.3667 - logcount_predictions_loss: 0.1626 38/715 [>.............................] - ETA: 1:33 - loss: 160.2469 - logits_profile_predictions_loss: 159.3848 - logcount_predictions_loss: 0.1627 39/715 [>.............................] - ETA: 1:33 - loss: 160.2644 - logits_profile_predictions_loss: 159.4019 - logcount_predictions_loss: 0.1627 40/715 [>.............................] - ETA: 1:33 - loss: 160.2884 - logits_profile_predictions_loss: 159.4256 - logcount_predictions_loss: 0.1628 41/715 [>.............................] - ETA: 1:33 - loss: 160.3177 - logits_profile_predictions_loss: 159.4546 - logcount_predictions_loss: 0.1629 42/715 [>.............................] - ETA: 1:33 - loss: 160.3478 - logits_profile_predictions_loss: 159.4845 - logcount_predictions_loss: 0.1629 43/715 [>.............................] - ETA: 1:33 - loss: 160.3788 - logits_profile_predictions_loss: 159.5155 - logcount_predictions_loss: 0.1629 44/715 [>.............................] - ETA: 1:32 - loss: 160.4089 - logits_profile_predictions_loss: 159.5455 - logcount_predictions_loss: 0.1629 45/715 [>.............................] - ETA: 1:32 - loss: 160.4365 - logits_profile_predictions_loss: 159.5729 - logcount_predictions_loss: 0.1629 46/715 [>.............................] - ETA: 1:32 - loss: 160.4608 - logits_profile_predictions_loss: 159.5971 - logcount_predictions_loss: 0.1630 47/715 [>.............................] - ETA: 1:32 - loss: 160.4796 - logits_profile_predictions_loss: 159.6158 - logcount_predictions_loss: 0.1630 48/715 [=>............................] - ETA: 1:32 - loss: 160.4958 - logits_profile_predictions_loss: 159.6321 - logcount_predictions_loss: 0.1629 49/715 [=>............................] - ETA: 1:32 - loss: 160.5130 - logits_profile_predictions_loss: 159.6494 - logcount_predictions_loss: 0.1630 50/715 [=>............................] - ETA: 1:32 - loss: 160.5313 - logits_profile_predictions_loss: 159.6677 - logcount_predictions_loss: 0.1629 51/715 [=>............................] - ETA: 1:31 - loss: 160.5514 - logits_profile_predictions_loss: 159.6880 - logcount_predictions_loss: 0.1629 52/715 [=>............................] - ETA: 1:31 - loss: 160.5693 - logits_profile_predictions_loss: 159.7060 - logcount_predictions_loss: 0.1629 53/715 [=>............................] - ETA: 1:31 - loss: 160.5852 - logits_profile_predictions_loss: 159.7222 - logcount_predictions_loss: 0.1628 54/715 [=>............................] - ETA: 1:31 - loss: 160.6021 - logits_profile_predictions_loss: 159.7393 - logcount_predictions_loss: 0.1628 55/715 [=>............................] - ETA: 1:31 - loss: 160.6180 - logits_profile_predictions_loss: 159.7554 - logcount_predictions_loss: 0.1627 56/715 [=>............................] - ETA: 1:31 - loss: 160.6329 - logits_profile_predictions_loss: 159.7707 - logcount_predictions_loss: 0.1627 57/715 [=>............................] - ETA: 1:31 - loss: 160.6483 - logits_profile_predictions_loss: 159.7865 - logcount_predictions_loss: 0.1626 58/715 [=>............................] - ETA: 1:30 - loss: 160.6617 - logits_profile_predictions_loss: 159.8002 - logcount_predictions_loss: 0.1625 59/715 [=>............................] - ETA: 1:30 - loss: 160.6728 - logits_profile_predictions_loss: 159.8117 - logcount_predictions_loss: 0.1625 60/715 [=>............................] - ETA: 1:30 - loss: 160.6800 - logits_profile_predictions_loss: 159.8191 - logcount_predictions_loss: 0.1624 61/715 [=>............................] - ETA: 1:30 - loss: 160.6918 - logits_profile_predictions_loss: 159.8313 - logcount_predictions_loss: 0.1624 62/715 [=>............................] - ETA: 1:30 - loss: 160.7039 - logits_profile_predictions_loss: 159.8436 - logcount_predictions_loss: 0.1623 63/715 [=>............................] - ETA: 1:30 - loss: 160.7130 - logits_profile_predictions_loss: 159.8531 - logcount_predictions_loss: 0.1622 64/715 [=>............................] - ETA: 1:30 - loss: 160.7239 - logits_profile_predictions_loss: 159.8643 - logcount_predictions_loss: 0.1622 65/715 [=>............................] - ETA: 1:30 - loss: 160.7341 - logits_profile_predictions_loss: 159.8748 - logcount_predictions_loss: 0.1621 66/715 [=>............................] - ETA: 1:29 - loss: 160.7437 - logits_profile_predictions_loss: 159.8847 - logcount_predictions_loss: 0.1621 67/715 [=>............................] - ETA: 1:29 - loss: 160.7528 - logits_profile_predictions_loss: 159.8942 - logcount_predictions_loss: 0.1620 68/715 [=>............................] - ETA: 1:29 - loss: 160.7641 - logits_profile_predictions_loss: 159.9056 - logcount_predictions_loss: 0.1620 69/715 [=>............................] - ETA: 1:29 - loss: 160.7782 - logits_profile_predictions_loss: 159.9199 - logcount_predictions_loss: 0.1620 70/715 [=>............................] - ETA: 1:29 - loss: 160.7902 - logits_profile_predictions_loss: 159.9320 - logcount_predictions_loss: 0.1619 71/715 [=>............................] - ETA: 1:29 - loss: 160.8008 - logits_profile_predictions_loss: 159.9426 - logcount_predictions_loss: 0.1619 72/715 [==>...........................] - ETA: 1:29 - loss: 160.8115 - logits_profile_predictions_loss: 159.9533 - logcount_predictions_loss: 0.1619 73/715 [==>...........................] - ETA: 1:28 - loss: 160.8210 - logits_profile_predictions_loss: 159.9628 - logcount_predictions_loss: 0.1619 74/715 [==>...........................] - ETA: 1:28 - loss: 160.8302 - logits_profile_predictions_loss: 159.9720 - logcount_predictions_loss: 0.1619 75/715 [==>...........................] - ETA: 1:28 - loss: 160.8396 - logits_profile_predictions_loss: 159.9814 - logcount_predictions_loss: 0.1619 76/715 [==>...........................] - ETA: 1:28 - loss: 160.8481 - logits_profile_predictions_loss: 159.9899 - logcount_predictions_loss: 0.1619 77/715 [==>...........................] - ETA: 1:28 - loss: 160.8540 - logits_profile_predictions_loss: 159.9956 - logcount_predictions_loss: 0.1619 78/715 [==>...........................] - ETA: 1:28 - loss: 160.8602 - logits_profile_predictions_loss: 160.0018 - logcount_predictions_loss: 0.1620 79/715 [==>...........................] - ETA: 1:28 - loss: 160.8665 - logits_profile_predictions_loss: 160.0080 - logcount_predictions_loss: 0.1620 80/715 [==>...........................] - ETA: 1:27 - loss: 160.8730 - logits_profile_predictions_loss: 160.0144 - logcount_predictions_loss: 0.1620 81/715 [==>...........................] - ETA: 1:27 - loss: 160.8804 - logits_profile_predictions_loss: 160.0217 - logcount_predictions_loss: 0.1620 82/715 [==>...........................] - ETA: 1:27 - loss: 160.8854 - logits_profile_predictions_loss: 160.0265 - logcount_predictions_loss: 0.1620 83/715 [==>...........................] - ETA: 1:27 - loss: 160.8916 - logits_profile_predictions_loss: 160.0326 - logcount_predictions_loss: 0.1621 84/715 [==>...........................] - ETA: 1:27 - loss: 160.8985 - logits_profile_predictions_loss: 160.0394 - logcount_predictions_loss: 0.1621 85/715 [==>...........................] - ETA: 1:27 - loss: 160.9055 - logits_profile_predictions_loss: 160.0464 - logcount_predictions_loss: 0.1621 86/715 [==>...........................] - ETA: 1:27 - loss: 160.9120 - logits_profile_predictions_loss: 160.0529 - logcount_predictions_loss: 0.1621 87/715 [==>...........................] - ETA: 1:27 - loss: 160.9165 - logits_profile_predictions_loss: 160.0574 - logcount_predictions_loss: 0.1621 88/715 [==>...........................] - ETA: 1:26 - loss: 160.9212 - logits_profile_predictions_loss: 160.0622 - logcount_predictions_loss: 0.1621 89/715 [==>...........................] - ETA: 1:26 - loss: 160.9249 - logits_profile_predictions_loss: 160.0660 - logcount_predictions_loss: 0.1621 90/715 [==>...........................] - ETA: 1:26 - loss: 160.9290 - logits_profile_predictions_loss: 160.0702 - logcount_predictions_loss: 0.1621 91/715 [==>...........................] - ETA: 1:26 - loss: 160.9333 - logits_profile_predictions_loss: 160.0745 - logcount_predictions_loss: 0.1620 92/715 [==>...........................] - ETA: 1:26 - loss: 160.9372 - logits_profile_predictions_loss: 160.0783 - logcount_predictions_loss: 0.1620 93/715 [==>...........................] - ETA: 1:26 - loss: 160.9413 - logits_profile_predictions_loss: 160.0824 - logcount_predictions_loss: 0.1621 94/715 [==>...........................] - ETA: 1:26 - loss: 160.9453 - logits_profile_predictions_loss: 160.0864 - logcount_predictions_loss: 0.1621 95/715 [==>...........................] - ETA: 1:25 - loss: 160.9499 - logits_profile_predictions_loss: 160.0910 - logcount_predictions_loss: 0.1621 96/715 [===>..........................] - ETA: 1:25 - loss: 160.9530 - logits_profile_predictions_loss: 160.0941 - logcount_predictions_loss: 0.1621 97/715 [===>..........................] - ETA: 1:25 - loss: 160.9561 - logits_profile_predictions_loss: 160.0971 - logcount_predictions_loss: 0.1621 98/715 [===>..........................] - ETA: 1:25 - loss: 160.9581 - logits_profile_predictions_loss: 160.0992 - logcount_predictions_loss: 0.1621 99/715 [===>..........................] - ETA: 1:25 - loss: 160.9622 - logits_profile_predictions_loss: 160.1033 - logcount_predictions_loss: 0.1620 100/715 [===>..........................] - ETA: 1:25 - loss: 160.9641 - logits_profile_predictions_loss: 160.1053 - logcount_predictions_loss: 0.1620 101/715 [===>..........................] - ETA: 1:25 - loss: 160.9657 - logits_profile_predictions_loss: 160.1070 - logcount_predictions_loss: 0.1620 102/715 [===>..........................] - ETA: 1:25 - loss: 160.9671 - logits_profile_predictions_loss: 160.1084 - logcount_predictions_loss: 0.1620 103/715 [===>..........................] - ETA: 1:24 - loss: 160.9680 - logits_profile_predictions_loss: 160.1093 - logcount_predictions_loss: 0.1620 104/715 [===>..........................] - ETA: 1:24 - loss: 160.9687 - logits_profile_predictions_loss: 160.1101 - logcount_predictions_loss: 0.1620 105/715 [===>..........................] - ETA: 1:24 - loss: 160.9697 - logits_profile_predictions_loss: 160.1111 - logcount_predictions_loss: 0.1620 106/715 [===>..........................] - ETA: 1:24 - loss: 160.9723 - logits_profile_predictions_loss: 160.1138 - logcount_predictions_loss: 0.1620 107/715 [===>..........................] - ETA: 1:24 - loss: 160.9756 - logits_profile_predictions_loss: 160.1170 - logcount_predictions_loss: 0.1620 108/715 [===>..........................] - ETA: 1:24 - loss: 160.9790 - logits_profile_predictions_loss: 160.1205 - logcount_predictions_loss: 0.1620 109/715 [===>..........................] - ETA: 1:24 - loss: 160.9823 - logits_profile_predictions_loss: 160.1239 - logcount_predictions_loss: 0.1620 110/715 [===>..........................] - ETA: 1:23 - loss: 160.9840 - logits_profile_predictions_loss: 160.1256 - logcount_predictions_loss: 0.1620 111/715 [===>..........................] - ETA: 1:23 - loss: 160.9848 - logits_profile_predictions_loss: 160.1265 - logcount_predictions_loss: 0.1619 112/715 [===>..........................] - ETA: 1:23 - loss: 160.9858 - logits_profile_predictions_loss: 160.1277 - logcount_predictions_loss: 0.1619 113/715 [===>..........................] - ETA: 1:23 - loss: 160.9870 - logits_profile_predictions_loss: 160.1289 - logcount_predictions_loss: 0.1619 114/715 [===>..........................] - ETA: 1:23 - loss: 160.9897 - logits_profile_predictions_loss: 160.1317 - logcount_predictions_loss: 0.1619 115/715 [===>..........................] - ETA: 1:23 - loss: 160.9925 - logits_profile_predictions_loss: 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[============================>.] - ETA: 0s - loss: 161.5919 - logits_profile_predictions_loss: 160.7534 - logcount_predictions_loss: 0.1582 715/715 [==============================] - ETA: 0s - loss: 161.5923 - logits_profile_predictions_loss: 160.7539 - logcount_predictions_loss: 0.1582 715/715 [==============================] - 104s 145ms/step - loss: 161.5928 - logits_profile_predictions_loss: 160.7544 - logcount_predictions_loss: 0.1582 - val_loss: 169.7581 - val_logits_profile_predictions_loss: 169.0502 - val_logcount_predictions_loss: 0.1336 + +Epoch 00009: val_loss did not improve from 169.21584 +Epoch 10/50 + 1/715 [..............................] - ETA: 1:57 - loss: 156.0514 - logits_profile_predictions_loss: 155.4086 - logcount_predictions_loss: 0.1213 2/715 [..............................] - ETA: 1:42 - loss: 158.7659 - logits_profile_predictions_loss: 158.1668 - logcount_predictions_loss: 0.1130 3/715 [..............................] - ETA: 1:40 - loss: 159.8071 - logits_profile_predictions_loss: 159.2039 - logcount_predictions_loss: 0.1138 4/715 [..............................] - ETA: 1:39 - loss: 159.4204 - logits_profile_predictions_loss: 158.7972 - logcount_predictions_loss: 0.1176 5/715 [..............................] - ETA: 1:39 - loss: 158.9538 - logits_profile_predictions_loss: 158.3072 - logcount_predictions_loss: 0.1220 6/715 [..............................] - ETA: 1:38 - loss: 158.4953 - logits_profile_predictions_loss: 157.8322 - logcount_predictions_loss: 0.1251 7/715 [..............................] - ETA: 1:38 - loss: 158.4188 - logits_profile_predictions_loss: 157.7471 - logcount_predictions_loss: 0.1267 8/715 [..............................] - ETA: 1:38 - loss: 158.4433 - logits_profile_predictions_loss: 157.7640 - logcount_predictions_loss: 0.1282 9/715 [..............................] - ETA: 1:38 - loss: 158.5642 - logits_profile_predictions_loss: 157.8799 - logcount_predictions_loss: 0.1291 10/715 [..............................] - ETA: 1:38 - loss: 158.6337 - logits_profile_predictions_loss: 157.9404 - logcount_predictions_loss: 0.1308 11/715 [..............................] - ETA: 1:37 - loss: 158.7812 - logits_profile_predictions_loss: 158.0804 - logcount_predictions_loss: 0.1322 12/715 [..............................] - ETA: 1:37 - loss: 158.8739 - logits_profile_predictions_loss: 158.1689 - logcount_predictions_loss: 0.1330 13/715 [..............................] - ETA: 1:37 - loss: 158.9596 - logits_profile_predictions_loss: 158.2519 - logcount_predictions_loss: 0.1335 14/715 [..............................] - ETA: 1:37 - loss: 159.0206 - logits_profile_predictions_loss: 158.3107 - logcount_predictions_loss: 0.1340 15/715 [..............................] - ETA: 1:37 - loss: 159.0269 - logits_profile_predictions_loss: 158.3157 - logcount_predictions_loss: 0.1342 16/715 [..............................] - ETA: 1:37 - loss: 159.0613 - logits_profile_predictions_loss: 158.3484 - logcount_predictions_loss: 0.1345 17/715 [..............................] - ETA: 1:36 - loss: 159.1573 - logits_profile_predictions_loss: 158.4432 - logcount_predictions_loss: 0.1347 18/715 [..............................] - ETA: 1:36 - loss: 159.2435 - logits_profile_predictions_loss: 158.5270 - logcount_predictions_loss: 0.1352 19/715 [..............................] - ETA: 1:36 - loss: 159.3271 - logits_profile_predictions_loss: 158.6084 - logcount_predictions_loss: 0.1356 20/715 [..............................] - ETA: 1:36 - loss: 159.4047 - logits_profile_predictions_loss: 158.6841 - logcount_predictions_loss: 0.1360 21/715 [..............................] - ETA: 1:36 - loss: 159.4908 - logits_profile_predictions_loss: 158.7689 - logcount_predictions_loss: 0.1362 22/715 [..............................] - ETA: 1:36 - loss: 159.5717 - logits_profile_predictions_loss: 158.8486 - logcount_predictions_loss: 0.1364 23/715 [..............................] - ETA: 1:36 - loss: 159.6251 - logits_profile_predictions_loss: 158.9010 - logcount_predictions_loss: 0.1366 24/715 [>.............................] - ETA: 1:35 - loss: 159.6546 - logits_profile_predictions_loss: 158.9295 - logcount_predictions_loss: 0.1368 25/715 [>.............................] - ETA: 1:35 - loss: 159.6782 - logits_profile_predictions_loss: 158.9518 - logcount_predictions_loss: 0.1371 26/715 [>.............................] - ETA: 1:35 - loss: 159.6955 - logits_profile_predictions_loss: 158.9677 - logcount_predictions_loss: 0.1373 27/715 [>.............................] - ETA: 1:35 - loss: 159.6976 - logits_profile_predictions_loss: 158.9680 - logcount_predictions_loss: 0.1377 28/715 [>.............................] - ETA: 1:35 - loss: 159.7105 - logits_profile_predictions_loss: 158.9795 - logcount_predictions_loss: 0.1379 29/715 [>.............................] - ETA: 1:35 - loss: 159.7442 - logits_profile_predictions_loss: 159.0114 - logcount_predictions_loss: 0.1383 30/715 [>.............................] - ETA: 1:34 - loss: 159.7754 - logits_profile_predictions_loss: 159.0411 - logcount_predictions_loss: 0.1386 31/715 [>.............................] - ETA: 1:34 - loss: 159.8008 - logits_profile_predictions_loss: 159.0647 - logcount_predictions_loss: 0.1389 32/715 [>.............................] - ETA: 1:34 - loss: 159.8275 - logits_profile_predictions_loss: 159.0897 - logcount_predictions_loss: 0.1392 33/715 [>.............................] - ETA: 1:34 - loss: 159.8488 - logits_profile_predictions_loss: 159.1094 - logcount_predictions_loss: 0.1395 34/715 [>.............................] - ETA: 1:34 - loss: 159.8583 - logits_profile_predictions_loss: 159.1174 - logcount_predictions_loss: 0.1398 35/715 [>.............................] - ETA: 1:34 - loss: 159.8637 - logits_profile_predictions_loss: 159.1216 - logcount_predictions_loss: 0.1400 36/715 [>.............................] - ETA: 1:34 - loss: 159.8819 - logits_profile_predictions_loss: 159.1387 - logcount_predictions_loss: 0.1402 37/715 [>.............................] - ETA: 1:33 - loss: 159.9052 - logits_profile_predictions_loss: 159.1611 - logcount_predictions_loss: 0.1404 38/715 [>.............................] - ETA: 1:33 - loss: 159.9392 - logits_profile_predictions_loss: 159.1941 - logcount_predictions_loss: 0.1406 39/715 [>.............................] - ETA: 1:33 - loss: 159.9740 - logits_profile_predictions_loss: 159.2278 - logcount_predictions_loss: 0.1408 40/715 [>.............................] - ETA: 1:33 - loss: 160.0111 - logits_profile_predictions_loss: 159.2642 - logcount_predictions_loss: 0.1409 41/715 [>.............................] - ETA: 1:33 - loss: 160.0539 - logits_profile_predictions_loss: 159.3063 - logcount_predictions_loss: 0.1411 42/715 [>.............................] - ETA: 1:33 - loss: 160.0886 - logits_profile_predictions_loss: 159.3403 - logcount_predictions_loss: 0.1412 43/715 [>.............................] - ETA: 1:33 - loss: 160.1201 - logits_profile_predictions_loss: 159.3711 - logcount_predictions_loss: 0.1413 44/715 [>.............................] - ETA: 1:33 - loss: 160.1456 - logits_profile_predictions_loss: 159.3961 - logcount_predictions_loss: 0.1414 45/715 [>.............................] - ETA: 1:32 - loss: 160.1697 - logits_profile_predictions_loss: 159.4196 - logcount_predictions_loss: 0.1415 46/715 [>.............................] - ETA: 1:32 - loss: 160.1925 - logits_profile_predictions_loss: 159.4421 - logcount_predictions_loss: 0.1416 47/715 [>.............................] - ETA: 1:32 - loss: 160.2170 - logits_profile_predictions_loss: 159.4662 - logcount_predictions_loss: 0.1417 48/715 [=>............................] - ETA: 1:32 - loss: 160.2416 - logits_profile_predictions_loss: 159.4906 - logcount_predictions_loss: 0.1417 49/715 [=>............................] - ETA: 1:32 - loss: 160.2640 - logits_profile_predictions_loss: 159.5127 - logcount_predictions_loss: 0.1418 50/715 [=>............................] - ETA: 1:32 - loss: 160.2858 - logits_profile_predictions_loss: 159.5343 - logcount_predictions_loss: 0.1418 51/715 [=>............................] - ETA: 1:32 - loss: 160.3086 - logits_profile_predictions_loss: 159.5569 - logcount_predictions_loss: 0.1418 52/715 [=>............................] - ETA: 1:31 - loss: 160.3299 - logits_profile_predictions_loss: 159.5780 - logcount_predictions_loss: 0.1419 53/715 [=>............................] - ETA: 1:31 - loss: 160.3498 - logits_profile_predictions_loss: 159.5980 - logcount_predictions_loss: 0.1419 54/715 [=>............................] - ETA: 1:31 - loss: 160.3679 - logits_profile_predictions_loss: 159.6161 - logcount_predictions_loss: 0.1419 55/715 [=>............................] - ETA: 1:31 - loss: 160.3860 - logits_profile_predictions_loss: 159.6341 - logcount_predictions_loss: 0.1419 56/715 [=>............................] - ETA: 1:31 - loss: 160.4017 - logits_profile_predictions_loss: 159.6498 - logcount_predictions_loss: 0.1419 57/715 [=>............................] - ETA: 1:31 - loss: 160.4119 - logits_profile_predictions_loss: 159.6599 - logcount_predictions_loss: 0.1419 58/715 [=>............................] - ETA: 1:31 - loss: 160.4227 - logits_profile_predictions_loss: 159.6706 - logcount_predictions_loss: 0.1419 59/715 [=>............................] - ETA: 1:30 - loss: 160.4294 - logits_profile_predictions_loss: 159.6772 - logcount_predictions_loss: 0.1419 60/715 [=>............................] - ETA: 1:30 - loss: 160.4327 - logits_profile_predictions_loss: 159.6804 - logcount_predictions_loss: 0.1419 61/715 [=>............................] - ETA: 1:30 - loss: 160.4341 - logits_profile_predictions_loss: 159.6819 - logcount_predictions_loss: 0.1419 62/715 [=>............................] - ETA: 1:30 - loss: 160.4343 - logits_profile_predictions_loss: 159.6819 - logcount_predictions_loss: 0.1420 63/715 [=>............................] - ETA: 1:30 - loss: 160.4323 - logits_profile_predictions_loss: 159.6799 - logcount_predictions_loss: 0.1420 64/715 [=>............................] - ETA: 1:30 - loss: 160.4314 - logits_profile_predictions_loss: 159.6790 - logcount_predictions_loss: 0.1420 65/715 [=>............................] - ETA: 1:30 - loss: 160.4323 - logits_profile_predictions_loss: 159.6799 - logcount_predictions_loss: 0.1420 66/715 [=>............................] - ETA: 1:29 - loss: 160.4325 - logits_profile_predictions_loss: 159.6800 - logcount_predictions_loss: 0.1420 67/715 [=>............................] - ETA: 1:29 - loss: 160.4305 - logits_profile_predictions_loss: 159.6780 - logcount_predictions_loss: 0.1420 68/715 [=>............................] - ETA: 1:29 - loss: 160.4291 - logits_profile_predictions_loss: 159.6765 - logcount_predictions_loss: 0.1420 69/715 [=>............................] - ETA: 1:29 - loss: 160.4283 - logits_profile_predictions_loss: 159.6756 - logcount_predictions_loss: 0.1420 70/715 [=>............................] - ETA: 1:29 - loss: 160.4246 - logits_profile_predictions_loss: 159.6719 - logcount_predictions_loss: 0.1420 71/715 [=>............................] - ETA: 1:29 - loss: 160.4238 - logits_profile_predictions_loss: 159.6710 - logcount_predictions_loss: 0.1421 72/715 [==>...........................] - ETA: 1:29 - loss: 160.4225 - logits_profile_predictions_loss: 159.6696 - logcount_predictions_loss: 0.1421 73/715 [==>...........................] - ETA: 1:28 - loss: 160.4208 - logits_profile_predictions_loss: 159.6678 - logcount_predictions_loss: 0.1421 74/715 [==>...........................] - ETA: 1:28 - loss: 160.4179 - logits_profile_predictions_loss: 159.6648 - logcount_predictions_loss: 0.1421 75/715 [==>...........................] - ETA: 1:28 - loss: 160.4151 - logits_profile_predictions_loss: 159.6619 - logcount_predictions_loss: 0.1421 76/715 [==>...........................] - ETA: 1:28 - loss: 160.4099 - logits_profile_predictions_loss: 159.6566 - logcount_predictions_loss: 0.1421 77/715 [==>...........................] - ETA: 1:28 - loss: 160.4050 - logits_profile_predictions_loss: 159.6517 - logcount_predictions_loss: 0.1421 78/715 [==>...........................] - ETA: 1:28 - loss: 160.3985 - logits_profile_predictions_loss: 159.6451 - logcount_predictions_loss: 0.1422 79/715 [==>...........................] - ETA: 1:28 - loss: 160.3911 - logits_profile_predictions_loss: 159.6375 - logcount_predictions_loss: 0.1422 80/715 [==>...........................] - ETA: 1:27 - loss: 160.3844 - logits_profile_predictions_loss: 159.6308 - logcount_predictions_loss: 0.1422 81/715 [==>...........................] - ETA: 1:27 - loss: 160.3785 - logits_profile_predictions_loss: 159.6248 - logcount_predictions_loss: 0.1422 82/715 [==>...........................] - ETA: 1:27 - loss: 160.3714 - logits_profile_predictions_loss: 159.6176 - logcount_predictions_loss: 0.1422 83/715 [==>...........................] - ETA: 1:27 - loss: 160.3652 - logits_profile_predictions_loss: 159.6114 - logcount_predictions_loss: 0.1422 84/715 [==>...........................] - ETA: 1:27 - loss: 160.3591 - logits_profile_predictions_loss: 159.6052 - logcount_predictions_loss: 0.1423 85/715 [==>...........................] - ETA: 1:27 - loss: 160.3543 - logits_profile_predictions_loss: 159.6002 - logcount_predictions_loss: 0.1423 86/715 [==>...........................] - ETA: 1:27 - loss: 160.3493 - logits_profile_predictions_loss: 159.5951 - logcount_predictions_loss: 0.1423 87/715 [==>...........................] - ETA: 1:26 - loss: 160.3450 - logits_profile_predictions_loss: 159.5907 - logcount_predictions_loss: 0.1423 88/715 [==>...........................] - ETA: 1:26 - loss: 160.3389 - logits_profile_predictions_loss: 159.5845 - logcount_predictions_loss: 0.1423 89/715 [==>...........................] - ETA: 1:26 - loss: 160.3331 - logits_profile_predictions_loss: 159.5786 - logcount_predictions_loss: 0.1424 90/715 [==>...........................] - ETA: 1:26 - loss: 160.3271 - logits_profile_predictions_loss: 159.5725 - logcount_predictions_loss: 0.1424 91/715 [==>...........................] - ETA: 1:26 - loss: 160.3228 - logits_profile_predictions_loss: 159.5681 - logcount_predictions_loss: 0.1424 92/715 [==>...........................] - ETA: 1:26 - loss: 160.3186 - logits_profile_predictions_loss: 159.5638 - logcount_predictions_loss: 0.1424 93/715 [==>...........................] - ETA: 1:26 - loss: 160.3134 - logits_profile_predictions_loss: 159.5585 - logcount_predictions_loss: 0.1424 94/715 [==>...........................] - ETA: 1:26 - loss: 160.3080 - logits_profile_predictions_loss: 159.5531 - logcount_predictions_loss: 0.1424 95/715 [==>...........................] - ETA: 1:25 - loss: 160.3022 - logits_profile_predictions_loss: 159.5472 - logcount_predictions_loss: 0.1425 96/715 [===>..........................] - ETA: 1:25 - loss: 160.2974 - logits_profile_predictions_loss: 159.5423 - logcount_predictions_loss: 0.1425 97/715 [===>..........................] - ETA: 1:25 - loss: 160.2943 - logits_profile_predictions_loss: 159.5392 - logcount_predictions_loss: 0.1425 98/715 [===>..........................] - ETA: 1:25 - loss: 160.2915 - logits_profile_predictions_loss: 159.5363 - logcount_predictions_loss: 0.1425 99/715 [===>..........................] - ETA: 1:25 - loss: 160.2882 - logits_profile_predictions_loss: 159.5328 - logcount_predictions_loss: 0.1425 100/715 [===>..........................] - ETA: 1:25 - loss: 160.2841 - logits_profile_predictions_loss: 159.5287 - logcount_predictions_loss: 0.1425 101/715 [===>..........................] - ETA: 1:25 - loss: 160.2797 - logits_profile_predictions_loss: 159.5243 - logcount_predictions_loss: 0.1425 102/715 [===>..........................] - ETA: 1:24 - loss: 160.2746 - logits_profile_predictions_loss: 159.5192 - logcount_predictions_loss: 0.1425 103/715 [===>..........................] - ETA: 1:24 - loss: 160.2713 - logits_profile_predictions_loss: 159.5158 - logcount_predictions_loss: 0.1425 104/715 [===>..........................] - ETA: 1:24 - loss: 160.2685 - logits_profile_predictions_loss: 159.5130 - logcount_predictions_loss: 0.1426 105/715 [===>..........................] - ETA: 1:24 - loss: 160.2637 - logits_profile_predictions_loss: 159.5082 - logcount_predictions_loss: 0.1426 106/715 [===>..........................] - ETA: 1:24 - loss: 160.2598 - logits_profile_predictions_loss: 159.5043 - logcount_predictions_loss: 0.1426 107/715 [===>..........................] - ETA: 1:24 - loss: 160.2554 - logits_profile_predictions_loss: 159.4998 - logcount_predictions_loss: 0.1426 108/715 [===>..........................] - ETA: 1:24 - loss: 160.2507 - logits_profile_predictions_loss: 159.4951 - logcount_predictions_loss: 0.1426 109/715 [===>..........................] - ETA: 1:23 - loss: 160.2459 - logits_profile_predictions_loss: 159.4902 - logcount_predictions_loss: 0.1426 110/715 [===>..........................] - ETA: 1:23 - loss: 160.2409 - logits_profile_predictions_loss: 159.4853 - logcount_predictions_loss: 0.1426 111/715 [===>..........................] - ETA: 1:23 - loss: 160.2365 - logits_profile_predictions_loss: 159.4807 - logcount_predictions_loss: 0.1426 112/715 [===>..........................] - ETA: 1:23 - loss: 160.2335 - logits_profile_predictions_loss: 159.4778 - logcount_predictions_loss: 0.1426 113/715 [===>..........................] - ETA: 1:23 - loss: 160.2303 - logits_profile_predictions_loss: 159.4745 - logcount_predictions_loss: 0.1426 114/715 [===>..........................] - ETA: 1:23 - loss: 160.2268 - logits_profile_predictions_loss: 159.4711 - logcount_predictions_loss: 0.1426 115/715 [===>..........................] - ETA: 1:23 - loss: 160.2229 - logits_profile_predictions_loss: 159.4672 - logcount_predictions_loss: 0.1426 116/715 [===>..........................] - ETA: 1:22 - loss: 160.2177 - logits_profile_predictions_loss: 159.4619 - logcount_predictions_loss: 0.1426 117/715 [===>..........................] - ETA: 1:22 - loss: 160.2123 - logits_profile_predictions_loss: 159.4565 - logcount_predictions_loss: 0.1426 118/715 [===>..........................] - ETA: 1:22 - loss: 160.2074 - logits_profile_predictions_loss: 159.4515 - logcount_predictions_loss: 0.1426 119/715 [===>..........................] - ETA: 1:22 - loss: 160.2025 - logits_profile_predictions_loss: 159.4466 - logcount_predictions_loss: 0.1426 120/715 [====>.........................] - ETA: 1:22 - loss: 160.1983 - logits_profile_predictions_loss: 159.4424 - logcount_predictions_loss: 0.1426 121/715 [====>.........................] - ETA: 1:22 - loss: 160.1943 - logits_profile_predictions_loss: 159.4384 - logcount_predictions_loss: 0.1426 122/715 [====>.........................] - ETA: 1:22 - loss: 160.1897 - logits_profile_predictions_loss: 159.4337 - logcount_predictions_loss: 0.1426 123/715 [====>.........................] - ETA: 1:21 - loss: 160.1854 - logits_profile_predictions_loss: 159.4294 - logcount_predictions_loss: 0.1426 124/715 [====>.........................] - ETA: 1:21 - loss: 160.1807 - logits_profile_predictions_loss: 159.4247 - logcount_predictions_loss: 0.1427 125/715 [====>.........................] - ETA: 1:21 - loss: 160.1766 - logits_profile_predictions_loss: 159.4206 - logcount_predictions_loss: 0.1427 126/715 [====>.........................] - ETA: 1:21 - loss: 160.1727 - logits_profile_predictions_loss: 159.4165 - logcount_predictions_loss: 0.1427 127/715 [====>.........................] - ETA: 1:21 - loss: 160.1689 - logits_profile_predictions_loss: 159.4126 - logcount_predictions_loss: 0.1427 128/715 [====>.........................] - ETA: 1:21 - loss: 160.1654 - logits_profile_predictions_loss: 159.4091 - logcount_predictions_loss: 0.1427 129/715 [====>.........................] - ETA: 1:21 - loss: 160.1617 - logits_profile_predictions_loss: 159.4053 - logcount_predictions_loss: 0.1427 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[..............................] - ETA: 1:38 - loss: 155.3602 - logits_profile_predictions_loss: 154.5989 - logcount_predictions_loss: 0.1436 12/715 [..............................] - ETA: 1:38 - loss: 155.5013 - logits_profile_predictions_loss: 154.7331 - logcount_predictions_loss: 0.1449 13/715 [..............................] - ETA: 1:38 - loss: 155.6694 - logits_profile_predictions_loss: 154.8973 - logcount_predictions_loss: 0.1457 14/715 [..............................] - ETA: 1:38 - loss: 155.7287 - logits_profile_predictions_loss: 154.9552 - logcount_predictions_loss: 0.1459 15/715 [..............................] - ETA: 1:37 - loss: 155.8014 - logits_profile_predictions_loss: 155.0276 - logcount_predictions_loss: 0.1460 16/715 [..............................] - ETA: 1:37 - loss: 155.8255 - logits_profile_predictions_loss: 155.0529 - logcount_predictions_loss: 0.1458 17/715 [..............................] - ETA: 1:37 - loss: 155.8200 - logits_profile_predictions_loss: 155.0485 - logcount_predictions_loss: 0.1456 18/715 [..............................] - ETA: 1:37 - loss: 155.8107 - logits_profile_predictions_loss: 155.0398 - logcount_predictions_loss: 0.1455 19/715 [..............................] - ETA: 1:37 - loss: 155.8003 - logits_profile_predictions_loss: 155.0301 - logcount_predictions_loss: 0.1453 20/715 [..............................] - ETA: 1:37 - loss: 155.7736 - logits_profile_predictions_loss: 155.0037 - logcount_predictions_loss: 0.1453 21/715 [..............................] - ETA: 1:36 - loss: 155.7464 - logits_profile_predictions_loss: 154.9770 - logcount_predictions_loss: 0.1452 22/715 [..............................] - ETA: 1:36 - loss: 155.7452 - logits_profile_predictions_loss: 154.9762 - logcount_predictions_loss: 0.1451 23/715 [..............................] - ETA: 1:36 - loss: 155.7562 - logits_profile_predictions_loss: 154.9876 - logcount_predictions_loss: 0.1450 24/715 [>.............................] - ETA: 1:36 - loss: 155.7858 - logits_profile_predictions_loss: 155.0176 - logcount_predictions_loss: 0.1449 25/715 [>.............................] - ETA: 1:36 - loss: 155.7879 - logits_profile_predictions_loss: 155.0199 - logcount_predictions_loss: 0.1449 26/715 [>.............................] - ETA: 1:36 - loss: 155.7858 - logits_profile_predictions_loss: 155.0183 - logcount_predictions_loss: 0.1448 27/715 [>.............................] - ETA: 1:35 - loss: 155.7800 - logits_profile_predictions_loss: 155.0131 - logcount_predictions_loss: 0.1447 28/715 [>.............................] - ETA: 1:35 - loss: 155.7700 - logits_profile_predictions_loss: 155.0039 - logcount_predictions_loss: 0.1445 29/715 [>.............................] - ETA: 1:35 - loss: 155.7590 - logits_profile_predictions_loss: 154.9937 - logcount_predictions_loss: 0.1444 30/715 [>.............................] - ETA: 1:35 - loss: 155.7365 - logits_profile_predictions_loss: 154.9720 - logcount_predictions_loss: 0.1442 31/715 [>.............................] - ETA: 1:35 - loss: 155.7192 - logits_profile_predictions_loss: 154.9556 - logcount_predictions_loss: 0.1441 32/715 [>.............................] - ETA: 1:35 - loss: 155.6972 - logits_profile_predictions_loss: 154.9342 - logcount_predictions_loss: 0.1440 33/715 [>.............................] - ETA: 1:35 - loss: 155.6744 - logits_profile_predictions_loss: 154.9115 - logcount_predictions_loss: 0.1439 34/715 [>.............................] - ETA: 1:34 - loss: 155.6524 - logits_profile_predictions_loss: 154.8897 - logcount_predictions_loss: 0.1439 35/715 [>.............................] - ETA: 1:34 - loss: 155.6269 - logits_profile_predictions_loss: 154.8644 - logcount_predictions_loss: 0.1439 36/715 [>.............................] - ETA: 1:34 - loss: 155.6028 - logits_profile_predictions_loss: 154.8403 - logcount_predictions_loss: 0.1439 37/715 [>.............................] - ETA: 1:34 - loss: 155.5935 - logits_profile_predictions_loss: 154.8310 - logcount_predictions_loss: 0.1439 38/715 [>.............................] - ETA: 1:34 - loss: 155.5806 - logits_profile_predictions_loss: 154.8179 - logcount_predictions_loss: 0.1439 39/715 [>.............................] - ETA: 1:34 - loss: 155.5653 - logits_profile_predictions_loss: 154.8027 - logcount_predictions_loss: 0.1439 40/715 [>.............................] - ETA: 1:34 - loss: 155.5554 - logits_profile_predictions_loss: 154.7930 - logcount_predictions_loss: 0.1438 41/715 [>.............................] - ETA: 1:33 - loss: 155.5552 - logits_profile_predictions_loss: 154.7928 - logcount_predictions_loss: 0.1438 42/715 [>.............................] - ETA: 1:33 - loss: 155.5575 - logits_profile_predictions_loss: 154.7952 - logcount_predictions_loss: 0.1438 43/715 [>.............................] - ETA: 1:33 - loss: 155.5540 - logits_profile_predictions_loss: 154.7919 - logcount_predictions_loss: 0.1438 44/715 [>.............................] - ETA: 1:33 - loss: 155.5478 - logits_profile_predictions_loss: 154.7857 - logcount_predictions_loss: 0.1438 45/715 [>.............................] - ETA: 1:33 - loss: 155.5464 - logits_profile_predictions_loss: 154.7844 - logcount_predictions_loss: 0.1438 46/715 [>.............................] - ETA: 1:33 - loss: 155.5447 - logits_profile_predictions_loss: 154.7829 - logcount_predictions_loss: 0.1437 47/715 [>.............................] - ETA: 1:33 - loss: 155.5439 - logits_profile_predictions_loss: 154.7822 - logcount_predictions_loss: 0.1437 48/715 [=>............................] - ETA: 1:32 - loss: 155.5509 - logits_profile_predictions_loss: 154.7893 - logcount_predictions_loss: 0.1437 49/715 [=>............................] - ETA: 1:32 - loss: 155.5582 - logits_profile_predictions_loss: 154.7969 - logcount_predictions_loss: 0.1436 50/715 [=>............................] - ETA: 1:32 - loss: 155.5737 - logits_profile_predictions_loss: 154.8126 - logcount_predictions_loss: 0.1436 51/715 [=>............................] - ETA: 1:32 - loss: 155.5946 - logits_profile_predictions_loss: 154.8336 - logcount_predictions_loss: 0.1436 52/715 [=>............................] - ETA: 1:32 - loss: 155.6170 - logits_profile_predictions_loss: 154.8561 - logcount_predictions_loss: 0.1435 53/715 [=>............................] - ETA: 1:32 - loss: 155.6383 - logits_profile_predictions_loss: 154.8775 - logcount_predictions_loss: 0.1435 54/715 [=>............................] - ETA: 1:32 - loss: 155.6559 - logits_profile_predictions_loss: 154.8953 - logcount_predictions_loss: 0.1435 55/715 [=>............................] - ETA: 1:32 - loss: 155.6739 - logits_profile_predictions_loss: 154.9134 - logcount_predictions_loss: 0.1435 56/715 [=>............................] - ETA: 1:31 - loss: 155.6910 - logits_profile_predictions_loss: 154.9306 - logcount_predictions_loss: 0.1435 57/715 [=>............................] - ETA: 1:31 - loss: 155.7096 - logits_profile_predictions_loss: 154.9493 - logcount_predictions_loss: 0.1434 58/715 [=>............................] - ETA: 1:31 - loss: 155.7304 - logits_profile_predictions_loss: 154.9702 - logcount_predictions_loss: 0.1434 59/715 [=>............................] - ETA: 1:31 - loss: 155.7548 - logits_profile_predictions_loss: 154.9949 - logcount_predictions_loss: 0.1434 60/715 [=>............................] - ETA: 1:31 - loss: 155.7729 - logits_profile_predictions_loss: 155.0132 - logcount_predictions_loss: 0.1433 61/715 [=>............................] - ETA: 1:31 - loss: 155.7940 - logits_profile_predictions_loss: 155.0345 - logcount_predictions_loss: 0.1433 62/715 [=>............................] - ETA: 1:31 - loss: 155.8127 - logits_profile_predictions_loss: 155.0534 - logcount_predictions_loss: 0.1433 63/715 [=>............................] - ETA: 1:30 - loss: 155.8288 - logits_profile_predictions_loss: 155.0697 - logcount_predictions_loss: 0.1432 64/715 [=>............................] - ETA: 1:30 - loss: 155.8429 - logits_profile_predictions_loss: 155.0840 - logcount_predictions_loss: 0.1432 65/715 [=>............................] - ETA: 1:30 - loss: 155.8545 - logits_profile_predictions_loss: 155.0960 - logcount_predictions_loss: 0.1431 66/715 [=>............................] - ETA: 1:30 - loss: 155.8680 - logits_profile_predictions_loss: 155.1096 - logcount_predictions_loss: 0.1431 67/715 [=>............................] - ETA: 1:30 - loss: 155.8853 - logits_profile_predictions_loss: 155.1271 - logcount_predictions_loss: 0.1431 68/715 [=>............................] - ETA: 1:30 - loss: 155.9071 - logits_profile_predictions_loss: 155.1490 - logcount_predictions_loss: 0.1430 69/715 [=>............................] - ETA: 1:30 - loss: 155.9267 - logits_profile_predictions_loss: 155.1688 - logcount_predictions_loss: 0.1430 70/715 [=>............................] - ETA: 1:29 - loss: 155.9465 - logits_profile_predictions_loss: 155.1887 - logcount_predictions_loss: 0.1430 71/715 [=>............................] - ETA: 1:29 - loss: 155.9644 - logits_profile_predictions_loss: 155.2067 - logcount_predictions_loss: 0.1430 72/715 [==>...........................] - ETA: 1:29 - loss: 155.9825 - logits_profile_predictions_loss: 155.2248 - logcount_predictions_loss: 0.1430 73/715 [==>...........................] - ETA: 1:29 - loss: 156.0021 - logits_profile_predictions_loss: 155.2444 - logcount_predictions_loss: 0.1430 74/715 [==>...........................] - ETA: 1:29 - loss: 156.0224 - logits_profile_predictions_loss: 155.2647 - logcount_predictions_loss: 0.1429 75/715 [==>...........................] - ETA: 1:29 - loss: 156.0418 - logits_profile_predictions_loss: 155.2841 - logcount_predictions_loss: 0.1429 76/715 [==>...........................] - ETA: 1:29 - loss: 156.0617 - logits_profile_predictions_loss: 155.3040 - logcount_predictions_loss: 0.1430 77/715 [==>...........................] - ETA: 1:28 - loss: 156.0804 - logits_profile_predictions_loss: 155.3227 - logcount_predictions_loss: 0.1430 78/715 [==>...........................] - ETA: 1:28 - loss: 156.0977 - logits_profile_predictions_loss: 155.3400 - logcount_predictions_loss: 0.1430 79/715 [==>...........................] - ETA: 1:28 - loss: 156.1145 - logits_profile_predictions_loss: 155.3567 - logcount_predictions_loss: 0.1430 80/715 [==>...........................] - ETA: 1:28 - loss: 156.1311 - logits_profile_predictions_loss: 155.3732 - logcount_predictions_loss: 0.1430 81/715 [==>...........................] - ETA: 1:28 - loss: 156.1472 - logits_profile_predictions_loss: 155.3893 - logcount_predictions_loss: 0.1430 82/715 [==>...........................] - ETA: 1:28 - loss: 156.1616 - logits_profile_predictions_loss: 155.4037 - logcount_predictions_loss: 0.1430 83/715 [==>...........................] - ETA: 1:28 - loss: 156.1768 - logits_profile_predictions_loss: 155.4188 - logcount_predictions_loss: 0.1430 84/715 [==>...........................] - ETA: 1:27 - loss: 156.1913 - logits_profile_predictions_loss: 155.4331 - logcount_predictions_loss: 0.1430 85/715 [==>...........................] - ETA: 1:27 - loss: 156.2052 - logits_profile_predictions_loss: 155.4470 - logcount_predictions_loss: 0.1430 86/715 [==>...........................] - ETA: 1:27 - loss: 156.2179 - logits_profile_predictions_loss: 155.4597 - logcount_predictions_loss: 0.1431 87/715 [==>...........................] - ETA: 1:27 - loss: 156.2298 - logits_profile_predictions_loss: 155.4715 - logcount_predictions_loss: 0.1431 88/715 [==>...........................] - ETA: 1:27 - loss: 156.2419 - logits_profile_predictions_loss: 155.4836 - logcount_predictions_loss: 0.1431 89/715 [==>...........................] - ETA: 1:27 - loss: 156.2555 - logits_profile_predictions_loss: 155.4972 - logcount_predictions_loss: 0.1431 90/715 [==>...........................] - ETA: 1:27 - loss: 156.2683 - logits_profile_predictions_loss: 155.5100 - logcount_predictions_loss: 0.1431 91/715 [==>...........................] - ETA: 1:26 - loss: 156.2814 - logits_profile_predictions_loss: 155.5231 - logcount_predictions_loss: 0.1431 92/715 [==>...........................] - ETA: 1:26 - loss: 156.2954 - logits_profile_predictions_loss: 155.5369 - logcount_predictions_loss: 0.1431 93/715 [==>...........................] - ETA: 1:26 - loss: 156.3079 - logits_profile_predictions_loss: 155.5495 - logcount_predictions_loss: 0.1431 94/715 [==>...........................] - ETA: 1:26 - loss: 156.3211 - logits_profile_predictions_loss: 155.5626 - logcount_predictions_loss: 0.1431 95/715 [==>...........................] - ETA: 1:26 - loss: 156.3339 - logits_profile_predictions_loss: 155.5753 - logcount_predictions_loss: 0.1431 96/715 [===>..........................] - ETA: 1:26 - loss: 156.3450 - logits_profile_predictions_loss: 155.5864 - logcount_predictions_loss: 0.1431 97/715 [===>..........................] - ETA: 1:26 - loss: 156.3544 - logits_profile_predictions_loss: 155.5957 - logcount_predictions_loss: 0.1431 98/715 [===>..........................] - ETA: 1:25 - loss: 156.3619 - logits_profile_predictions_loss: 155.6033 - logcount_predictions_loss: 0.1431 99/715 [===>..........................] - ETA: 1:25 - loss: 156.3693 - logits_profile_predictions_loss: 155.6105 - logcount_predictions_loss: 0.1432 100/715 [===>..........................] - ETA: 1:25 - loss: 156.3761 - logits_profile_predictions_loss: 155.6174 - logcount_predictions_loss: 0.1432 101/715 [===>..........................] - ETA: 1:25 - loss: 156.3854 - logits_profile_predictions_loss: 155.6266 - logcount_predictions_loss: 0.1432 102/715 [===>..........................] - ETA: 1:25 - loss: 156.3957 - logits_profile_predictions_loss: 155.6368 - logcount_predictions_loss: 0.1432 103/715 [===>..........................] - ETA: 1:25 - loss: 156.4065 - logits_profile_predictions_loss: 155.6475 - logcount_predictions_loss: 0.1432 104/715 [===>..........................] - ETA: 1:25 - loss: 156.4181 - logits_profile_predictions_loss: 155.6591 - logcount_predictions_loss: 0.1432 105/715 [===>..........................] - ETA: 1:24 - loss: 156.4301 - logits_profile_predictions_loss: 155.6711 - logcount_predictions_loss: 0.1432 106/715 [===>..........................] - ETA: 1:24 - loss: 156.4415 - logits_profile_predictions_loss: 155.6823 - logcount_predictions_loss: 0.1432 107/715 [===>..........................] - ETA: 1:24 - loss: 156.4528 - logits_profile_predictions_loss: 155.6937 - logcount_predictions_loss: 0.1432 108/715 [===>..........................] - ETA: 1:24 - loss: 156.4648 - logits_profile_predictions_loss: 155.7056 - logcount_predictions_loss: 0.1432 109/715 [===>..........................] - ETA: 1:24 - loss: 156.4762 - logits_profile_predictions_loss: 155.7170 - logcount_predictions_loss: 0.1432 110/715 [===>..........................] - ETA: 1:24 - loss: 156.4897 - logits_profile_predictions_loss: 155.7305 - logcount_predictions_loss: 0.1432 111/715 [===>..........................] - ETA: 1:24 - loss: 156.5033 - logits_profile_predictions_loss: 155.7441 - logcount_predictions_loss: 0.1432 112/715 [===>..........................] - ETA: 1:24 - loss: 156.5165 - logits_profile_predictions_loss: 155.7573 - logcount_predictions_loss: 0.1432 113/715 [===>..........................] - ETA: 1:23 - loss: 156.5296 - logits_profile_predictions_loss: 155.7704 - logcount_predictions_loss: 0.1433 114/715 [===>..........................] - ETA: 1:23 - loss: 156.5423 - logits_profile_predictions_loss: 155.7831 - logcount_predictions_loss: 0.1432 115/715 [===>..........................] - ETA: 1:23 - loss: 156.5554 - logits_profile_predictions_loss: 155.7962 - logcount_predictions_loss: 0.1432 116/715 [===>..........................] - ETA: 1:23 - loss: 156.5677 - logits_profile_predictions_loss: 155.8085 - logcount_predictions_loss: 0.1432 117/715 [===>..........................] - ETA: 1:23 - loss: 156.5800 - logits_profile_predictions_loss: 155.8208 - logcount_predictions_loss: 0.1432 118/715 [===>..........................] - ETA: 1:23 - loss: 156.5914 - logits_profile_predictions_loss: 155.8322 - logcount_predictions_loss: 0.1432 119/715 [===>..........................] - ETA: 1:23 - loss: 156.6031 - logits_profile_predictions_loss: 155.8439 - logcount_predictions_loss: 0.1432 120/715 [====>.........................] - ETA: 1:22 - loss: 156.6144 - logits_profile_predictions_loss: 155.8552 - logcount_predictions_loss: 0.1432 121/715 [====>.........................] - ETA: 1:22 - loss: 156.6255 - logits_profile_predictions_loss: 155.8663 - logcount_predictions_loss: 0.1432 122/715 [====>.........................] - ETA: 1:22 - loss: 156.6362 - logits_profile_predictions_loss: 155.8769 - logcount_predictions_loss: 0.1433 123/715 [====>.........................] - ETA: 1:22 - loss: 156.6470 - logits_profile_predictions_loss: 155.8878 - logcount_predictions_loss: 0.1433 124/715 [====>.........................] - ETA: 1:22 - loss: 156.6577 - logits_profile_predictions_loss: 155.8985 - logcount_predictions_loss: 0.1433 125/715 [====>.........................] - ETA: 1:22 - loss: 156.6682 - logits_profile_predictions_loss: 155.9090 - logcount_predictions_loss: 0.1433 126/715 [====>.........................] - ETA: 1:22 - loss: 156.6782 - logits_profile_predictions_loss: 155.9189 - logcount_predictions_loss: 0.1433 127/715 [====>.........................] - ETA: 1:21 - loss: 156.6887 - logits_profile_predictions_loss: 155.9294 - logcount_predictions_loss: 0.1433 128/715 [====>.........................] - ETA: 1:21 - loss: 156.7001 - logits_profile_predictions_loss: 155.9408 - logcount_predictions_loss: 0.1433 129/715 [====>.........................] - ETA: 1:21 - loss: 156.7112 - logits_profile_predictions_loss: 155.9519 - logcount_predictions_loss: 0.1433 130/715 [====>.........................] - ETA: 1:21 - loss: 156.7220 - logits_profile_predictions_loss: 155.9627 - logcount_predictions_loss: 0.1433 131/715 [====>.........................] - ETA: 1:21 - loss: 156.7330 - logits_profile_predictions_loss: 155.9736 - logcount_predictions_loss: 0.1433 132/715 [====>.........................] - ETA: 1:21 - loss: 156.7446 - logits_profile_predictions_loss: 155.9852 - logcount_predictions_loss: 0.1433 133/715 [====>.........................] - ETA: 1:21 - loss: 156.7560 - logits_profile_predictions_loss: 155.9966 - logcount_predictions_loss: 0.1433 134/715 [====>.........................] - ETA: 1:20 - loss: 156.7667 - logits_profile_predictions_loss: 156.0073 - logcount_predictions_loss: 0.1433 135/715 [====>.........................] - ETA: 1:20 - loss: 156.7777 - logits_profile_predictions_loss: 156.0183 - logcount_predictions_loss: 0.1433 136/715 [====>.........................] - ETA: 1:20 - loss: 156.7899 - logits_profile_predictions_loss: 156.0304 - logcount_predictions_loss: 0.1433 137/715 [====>.........................] - ETA: 1:20 - loss: 156.8021 - 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[=========================>....] - ETA: 11s - loss: 158.2621 - logits_profile_predictions_loss: 157.5146 - logcount_predictions_loss: 0.1410 637/715 [=========================>....] - ETA: 10s - loss: 158.2635 - logits_profile_predictions_loss: 157.5160 - logcount_predictions_loss: 0.1410 638/715 [=========================>....] - ETA: 10s - loss: 158.2649 - logits_profile_predictions_loss: 157.5173 - logcount_predictions_loss: 0.1410 639/715 [=========================>....] - ETA: 10s - loss: 158.2662 - logits_profile_predictions_loss: 157.5187 - logcount_predictions_loss: 0.1410 640/715 [=========================>....] - ETA: 10s - loss: 158.2675 - logits_profile_predictions_loss: 157.5201 - logcount_predictions_loss: 0.1410 641/715 [=========================>....] - ETA: 10s - loss: 158.2689 - logits_profile_predictions_loss: 157.5214 - logcount_predictions_loss: 0.1410 642/715 [=========================>....] - ETA: 10s - loss: 158.2702 - logits_profile_predictions_loss: 157.5228 - 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[==========================>...] - ETA: 8s - loss: 158.2876 - logits_profile_predictions_loss: 157.5404 - logcount_predictions_loss: 0.1410 657/715 [==========================>...] - ETA: 8s - loss: 158.2888 - logits_profile_predictions_loss: 157.5416 - logcount_predictions_loss: 0.1410 658/715 [==========================>...] - ETA: 7s - loss: 158.2899 - logits_profile_predictions_loss: 157.5427 - logcount_predictions_loss: 0.1410 659/715 [==========================>...] - ETA: 7s - loss: 158.2910 - logits_profile_predictions_loss: 157.5439 - logcount_predictions_loss: 0.1410 660/715 [==========================>...] - ETA: 7s - loss: 158.2922 - logits_profile_predictions_loss: 157.5450 - logcount_predictions_loss: 0.1410 661/715 [==========================>...] - ETA: 7s - loss: 158.2933 - logits_profile_predictions_loss: 157.5462 - logcount_predictions_loss: 0.1410 662/715 [==========================>...] - ETA: 7s - loss: 158.2944 - logits_profile_predictions_loss: 157.5473 - logcount_predictions_loss: 0.1410 663/715 [==========================>...] - ETA: 7s - loss: 158.2956 - logits_profile_predictions_loss: 157.5485 - logcount_predictions_loss: 0.1410 664/715 [==========================>...] - ETA: 7s - loss: 158.2967 - logits_profile_predictions_loss: 157.5497 - logcount_predictions_loss: 0.1410 665/715 [==========================>...] - ETA: 6s - loss: 158.2979 - logits_profile_predictions_loss: 157.5508 - logcount_predictions_loss: 0.1409 666/715 [==========================>...] - ETA: 6s - loss: 158.2990 - logits_profile_predictions_loss: 157.5520 - logcount_predictions_loss: 0.1409 667/715 [==========================>...] - ETA: 6s - loss: 158.3002 - logits_profile_predictions_loss: 157.5532 - logcount_predictions_loss: 0.1409 668/715 [===========================>..] - ETA: 6s - loss: 158.3013 - logits_profile_predictions_loss: 157.5543 - logcount_predictions_loss: 0.1409 669/715 [===========================>..] - ETA: 6s - loss: 158.3025 - logits_profile_predictions_loss: 157.5555 - logcount_predictions_loss: 0.1409 670/715 [===========================>..] - ETA: 6s - loss: 158.3037 - logits_profile_predictions_loss: 157.5567 - logcount_predictions_loss: 0.1409 671/715 [===========================>..] - ETA: 6s - loss: 158.3048 - logits_profile_predictions_loss: 157.5579 - logcount_predictions_loss: 0.1409 672/715 [===========================>..] - ETA: 5s - loss: 158.3060 - logits_profile_predictions_loss: 157.5591 - logcount_predictions_loss: 0.1409 673/715 [===========================>..] - ETA: 5s - loss: 158.3072 - logits_profile_predictions_loss: 157.5603 - logcount_predictions_loss: 0.1409 674/715 [===========================>..] - ETA: 5s - loss: 158.3083 - logits_profile_predictions_loss: 157.5615 - logcount_predictions_loss: 0.1409 675/715 [===========================>..] - ETA: 5s - loss: 158.3095 - logits_profile_predictions_loss: 157.5627 - logcount_predictions_loss: 0.1409 676/715 [===========================>..] - ETA: 5s - loss: 158.3107 - logits_profile_predictions_loss: 157.5638 - logcount_predictions_loss: 0.1409 677/715 [===========================>..] - ETA: 5s - loss: 158.3118 - logits_profile_predictions_loss: 157.5650 - logcount_predictions_loss: 0.1409 678/715 [===========================>..] - ETA: 5s - loss: 158.3130 - logits_profile_predictions_loss: 157.5662 - logcount_predictions_loss: 0.1409 679/715 [===========================>..] - ETA: 5s - loss: 158.3141 - logits_profile_predictions_loss: 157.5673 - logcount_predictions_loss: 0.1409 680/715 [===========================>..] - ETA: 4s - loss: 158.3153 - logits_profile_predictions_loss: 157.5685 - logcount_predictions_loss: 0.1409 681/715 [===========================>..] - ETA: 4s - loss: 158.3164 - logits_profile_predictions_loss: 157.5696 - logcount_predictions_loss: 0.1409 682/715 [===========================>..] - ETA: 4s - loss: 158.3175 - logits_profile_predictions_loss: 157.5708 - 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logits_profile_predictions_loss: 157.5787 - logcount_predictions_loss: 0.1409 690/715 [===========================>..] - ETA: 3s - loss: 158.3264 - logits_profile_predictions_loss: 157.5799 - logcount_predictions_loss: 0.1409 691/715 [===========================>..] - ETA: 3s - loss: 158.3275 - logits_profile_predictions_loss: 157.5810 - logcount_predictions_loss: 0.1409 692/715 [============================>.] - ETA: 3s - loss: 158.3286 - logits_profile_predictions_loss: 157.5821 - logcount_predictions_loss: 0.1409 693/715 [============================>.] - ETA: 3s - loss: 158.3297 - logits_profile_predictions_loss: 157.5832 - logcount_predictions_loss: 0.1408 694/715 [============================>.] - ETA: 2s - loss: 158.3308 - logits_profile_predictions_loss: 157.5843 - logcount_predictions_loss: 0.1408 695/715 [============================>.] - ETA: 2s - loss: 158.3319 - logits_profile_predictions_loss: 157.5854 - logcount_predictions_loss: 0.1408 696/715 [============================>.] - ETA: 2s - loss: 158.3331 - logits_profile_predictions_loss: 157.5866 - logcount_predictions_loss: 0.1408 697/715 [============================>.] - ETA: 2s - loss: 158.3342 - logits_profile_predictions_loss: 157.5877 - logcount_predictions_loss: 0.1408 698/715 [============================>.] - ETA: 2s - loss: 158.3353 - logits_profile_predictions_loss: 157.5889 - logcount_predictions_loss: 0.1408 699/715 [============================>.] - ETA: 2s - loss: 158.3364 - logits_profile_predictions_loss: 157.5900 - logcount_predictions_loss: 0.1408 700/715 [============================>.] - ETA: 2s - loss: 158.3375 - logits_profile_predictions_loss: 157.5912 - logcount_predictions_loss: 0.1408 701/715 [============================>.] - ETA: 1s - loss: 158.3387 - logits_profile_predictions_loss: 157.5923 - logcount_predictions_loss: 0.1408 702/715 [============================>.] - ETA: 1s - loss: 158.3399 - logits_profile_predictions_loss: 157.5935 - logcount_predictions_loss: 0.1408 703/715 [============================>.] - ETA: 1s - loss: 158.3410 - logits_profile_predictions_loss: 157.5947 - logcount_predictions_loss: 0.1408 704/715 [============================>.] - ETA: 1s - loss: 158.3422 - logits_profile_predictions_loss: 157.5959 - logcount_predictions_loss: 0.1408 705/715 [============================>.] - ETA: 1s - loss: 158.3434 - logits_profile_predictions_loss: 157.5971 - logcount_predictions_loss: 0.1408 706/715 [============================>.] - ETA: 1s - loss: 158.3446 - logits_profile_predictions_loss: 157.5983 - logcount_predictions_loss: 0.1408 707/715 [============================>.] - ETA: 1s - loss: 158.3458 - logits_profile_predictions_loss: 157.5995 - logcount_predictions_loss: 0.1408 708/715 [============================>.] - ETA: 0s - loss: 158.3469 - logits_profile_predictions_loss: 157.6007 - logcount_predictions_loss: 0.1408 709/715 [============================>.] - ETA: 0s - loss: 158.3480 - logits_profile_predictions_loss: 157.6018 - logcount_predictions_loss: 0.1408 710/715 [============================>.] - ETA: 0s - loss: 158.3491 - logits_profile_predictions_loss: 157.6029 - logcount_predictions_loss: 0.1408 711/715 [============================>.] - ETA: 0s - loss: 158.3502 - logits_profile_predictions_loss: 157.6040 - logcount_predictions_loss: 0.1408 712/715 [============================>.] - ETA: 0s - loss: 158.3513 - logits_profile_predictions_loss: 157.6051 - logcount_predictions_loss: 0.1408 713/715 [============================>.] - ETA: 0s - loss: 158.3523 - logits_profile_predictions_loss: 157.6062 - logcount_predictions_loss: 0.1408 714/715 [============================>.] - ETA: 0s - loss: 158.3534 - logits_profile_predictions_loss: 157.6073 - logcount_predictions_loss: 0.1408 715/715 [==============================] - ETA: 0s - loss: 158.3545 - logits_profile_predictions_loss: 157.6084 - logcount_predictions_loss: 0.1408 715/715 [==============================] - 104s 146ms/step - loss: 158.3555 - logits_profile_predictions_loss: 157.6094 - logcount_predictions_loss: 0.1408 - val_loss: 170.3059 - val_logits_profile_predictions_loss: 169.6477 - val_logcount_predictions_loss: 0.1242 + +Epoch 00011: val_loss did not improve from 169.21584 +Restoring model weights from the end of the best epoch. +Epoch 00011: early stopping +save model +save model without bias +2022-09-22_23-31-41: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(10498, 10) +loading nonpeaks... +got split:test for bed regions:(12400, 10) +0/90 +2022-09-22_23-32-44: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(10498, 10) +loading nonpeaks... +got split:test for bed regions:(12400, 10) +0/90 +2022-09-22_23-33-44: 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//ENCSR609GST//preprocessing/bigWigs/ENCSR609GST.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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/ENCSR609GST//chrombpnet_model_feb15_fold_4//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(10498, 10) +loading nonpeaks... +got split:test for bed regions:(12400, 10) +0/90 +2022-09-22_23-34-23: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_23-34-23: 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/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 1:03 3/11 [=======>......................] - ETA: 2s  4/11 [=========>....................] - ETA: 2s 5/11 [============>.................] - ETA: 2s 6/11 [===============>..............] - ETA: 2s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 14s 787ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 638ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 638ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 639ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 640ms/step + 1/11 [=>............................] - ETA: 0s 2/11 [====>.........................] - ETA: 5s 3/11 [=======>......................] - ETA: 4s 4/11 [=========>....................] - ETA: 4s 5/11 [============>.................] - ETA: 3s 6/11 [===============>..............] - ETA: 3s 7/11 [==================>...........] - ETA: 2s 8/11 [====================>.........] - ETA: 1s 9/11 [=======================>......] - ETA: 1s 10/11 [==========================>...] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 6s 640ms/step +Saving marginal footprints +2022-09-22_23-35-44: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//footprints +2022-09-22_23-35-44: 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/ENCSR609GST//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//chrombpnet_model_feb15_fold_4//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR609GST//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 + 1/11 [=>............................] - ETA: 25s 3/11 [=======>......................] - ETA: 0s  5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 3s 66ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_2 +GTGCACAGTTCTAGAGTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_3 +CCTCTACACTGTGCAGAA + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_4 +GCACAGTTCTAGACTGTGCAG + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +inserting motif: tn5_5 +CTGCACAGTGTAGAGTTGTGC + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step + 1/11 [=>............................] - ETA: 0s 3/11 [=======>......................] - ETA: 0s 5/11 [============>.................] - ETA: 0s 7/11 [==================>...........] - ETA: 0s 9/11 [=======================>......] - ETA: 0s 11/11 [==============================] - ETA: 0s 11/11 [==============================] - 1s 51ms/step +Saving marginal footprints diff --git a/fold_4/model.bias_scaled.fold_4.ENCSR609GST.h5 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