encode-chrombpnet-ATAC-GM19395-ENCSR372IGW-ENCSR165KAD / fold_2 /logs.models.fold_2.ENCSR372IGW /logfile.modelling.fold_2.ENCSR372IGW.stderr.txt
Download fold_2/logs.models.fold_2.ENCSR372IGW/logfile.modelling.fold_2.ENCSR372IGW.stderr.txt from kundajelab/encode-chrombpnet-ATAC-GM19395-ENCSR372IGW-ENCSR165KAD: direct link, hf CLI and curl.
- Browser
- Download file 43.9 kB
-
https://huggingface.co/kundajelab/encode-chrombpnet-ATAC-GM19395-ENCSR372IGW-ENCSR165KAD/resolve/6e5fde2773a2fa5b77e6cd08c786abaa959842bf/fold_2/logs.models.fold_2.ENCSR372IGW/logfile.modelling.fold_2.ENCSR372IGW.stderr.txt
- Command line
-
hf download hf://kundajelab/encode-chrombpnet-ATAC-GM19395-ENCSR372IGW-ENCSR165KAD@6e5fde2773a2fa5b77e6cd08c786abaa959842bf/fold_2/logs.models.fold_2.ENCSR372IGW/logfile.modelling.fold_2.ENCSR372IGW.stderr.txt
-
curl -L -o logfile.modelling.fold_2.ENCSR372IGW.stderr.txt https://huggingface.co/kundajelab/encode-chrombpnet-ATAC-GM19395-ENCSR372IGW-ENCSR165KAD/resolve/6e5fde2773a2fa5b77e6cd08c786abaa959842bf/fold_2/logs.models.fold_2.ENCSR372IGW/logfile.modelling.fold_2.ENCSR372IGW.stderr.txt
43.9 kB
| 2022-09-20 13:34:47.429021: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:38:47.666801: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 13:38:47.667977: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2022-09-20 13:38:47.801474: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 13:38:47.801561: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:38:48.136090: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 13:38:48.136287: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 13:38:48.182093: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 13:38:48.441418: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 13:38:48.540483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 13:38:48.563963: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 13:38:48.567022: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 13:38:48.571865: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 13:38:48.572212: 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. | |
| 2022-09-20 13:38:48.572294: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 13:38:48.573901: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 13:38:48.573945: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:38:48.573975: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 13:38:48.574001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 13:38:48.574026: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 13:38:48.574051: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 13:38:48.574076: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 13:38:48.574100: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 13:38:48.574125: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 13:38:48.577272: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 13:38:48.579891: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:38:51.579140: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2022-09-20 13:38:52.494597: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2022-09-20 13:38:52.494680: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2022-09-20 13:38:52.507127: 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-PCIE-40GB, pci bus id: 0000:46:00.0, compute capability: 8.0) | |
| 2022-09-20 13:38:53.711656: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) | |
| 2022-09-20 13:38:53.720163: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499855000 Hz | |
| 2022-09-20 13:38:53.895389: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 13:38:56.509721: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 13:38:56.517607: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 13:39:29.907372: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:39:31.473724: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 13:39:31.474425: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2022-09-20 13:39:31.554273: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 13:39:31.554358: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:39:31.556299: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 13:39:31.556342: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 13:39:31.557230: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 13:39:31.557403: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 13:39:31.559481: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 13:39:31.559940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 13:39:31.560058: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 13:39:31.561686: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 13:39:31.561995: 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. | |
| 2022-09-20 13:39:31.562060: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 13:39:31.562889: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 13:39:31.562929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:39:31.562946: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 13:39:31.562961: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 13:39:31.562974: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 13:39:31.562987: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 13:39:31.563000: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 13:39:31.563012: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 13:39:31.563025: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 13:39:31.564565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 13:39:31.564594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 13:39:32.001876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2022-09-20 13:39:32.001965: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2022-09-20 13:39:32.001978: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2022-09-20 13:39:32.004677: 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-PCIE-40GB, pci bus id: 0000:46:00.0, compute capability: 8.0) | |
| 2022-09-20 13:43:35.976032: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) | |
| 2022-09-20 13:43:35.976452: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499855000 Hz | |
| 2022-09-20 13:43:37.410789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 13:43:37.798641: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 13:43:37.814042: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 13:43:40.792397: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. | |
| 2022-09-20 15:32:09.923522: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:32:12.473062: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:32:12.473832: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2022-09-20 15:32:12.551152: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:32:12.551240: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:32:12.553221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:32:12.553270: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:32:12.554168: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:32:12.554342: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:32:12.556406: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:32:12.556858: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:32:12.556981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:32:12.558632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:32:12.558942: 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. | |
| 2022-09-20 15:32:12.559011: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:32:12.559840: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:32:12.559862: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:32:12.559879: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:32:12.559893: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:32:12.559907: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:32:12.559921: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:32:12.559934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:32:12.559947: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:32:12.559961: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:32:12.561512: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:32:12.561541: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:32:13.003718: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2022-09-20 15:32:13.003808: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2022-09-20 15:32:13.003820: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2022-09-20 15:32:13.006793: 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-PCIE-40GB, pci bus id: 0000:46:00.0, compute capability: 8.0) | |
| 2022-09-20 15:33:08.635880: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) | |
| 2022-09-20 15:33:08.639326: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499855000 Hz | |
| 2022-09-20 15:33:08.730841: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:33:09.170271: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:33:09.172436: 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. | |
| 2022-09-20 15:35:18.600255: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:35:20.904140: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:35:20.904915: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2022-09-20 15:35:20.992052: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:35:20.992137: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:35:20.994146: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:35:20.994194: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:35:20.995083: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:35:20.995260: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:35:20.997330: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:35:20.997789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:35:20.997909: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:35:20.999584: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:35:20.999896: 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. | |
| 2022-09-20 15:35:20.999978: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:35:21.000822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:35:21.000845: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:35:21.000866: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:35:21.000884: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:35:21.000901: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:35:21.000919: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:35:21.000935: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:35:21.000952: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:35:21.000966: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:35:21.002528: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:35:21.002559: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:35:21.442343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2022-09-20 15:35:21.442434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2022-09-20 15:35:21.442446: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2022-09-20 15:35:21.445971: 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-PCIE-40GB, pci bus id: 0000:46:00.0, compute capability: 8.0) | |
| WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. | |
| 2022-09-20 15:36:12.715132: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) | |
| 2022-09-20 15:36:12.717495: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499855000 Hz | |
| 2022-09-20 15:36:12.774320: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:36:13.239125: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:36:13.241326: 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. | |
| 2022-09-20 15:38:12.666540: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:38:15.195772: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:38:15.196551: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2022-09-20 15:38:15.273253: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:38:15.273338: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:38:15.275337: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:38:15.275381: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:38:15.276278: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:38:15.276449: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:38:15.278496: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:38:15.278952: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:38:15.279078: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:38:15.280730: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:38:15.281045: 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. | |
| 2022-09-20 15:38:15.281111: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:38:15.281935: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:38:15.281958: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:38:15.281975: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:38:15.281989: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:38:15.282021: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:38:15.282036: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:38:15.282050: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:38:15.282064: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:38:15.282077: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:38:15.283637: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:38:15.283666: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:38:15.719272: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2022-09-20 15:38:15.719361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2022-09-20 15:38:15.719373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2022-09-20 15:38:15.723075: 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-PCIE-40GB, pci bus id: 0000:46:00.0, compute capability: 8.0) | |
| 2022-09-20 15:39:07.093044: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) | |
| 2022-09-20 15:39:07.094736: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499855000 Hz | |
| 2022-09-20 15:39:07.132062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:39:07.589521: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:39:07.591094: 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. | |
| 2022-09-20 15:40:09.568853: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:40:10.694842: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:40:10.695573: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2022-09-20 15:40:10.772633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:40:10.772724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:40:10.774706: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:40:10.774755: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:40:10.775656: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:40:10.775831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:40:10.777889: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:40:10.778353: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:40:10.778475: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:40:10.780125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:40:10.780452: 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. | |
| 2022-09-20 15:40:10.780519: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:40:10.781348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:40:10.781376: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:40:10.781393: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:40:10.781407: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:40:10.781421: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:40:10.781435: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:40:10.781448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:40:10.781462: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:40:10.781476: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:40:10.783031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:40:10.783066: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:40:11.216647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2022-09-20 15:40:11.216753: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2022-09-20 15:40:11.216766: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2022-09-20 15:40:11.219415: 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-PCIE-40GB, pci bus id: 0000:46:00.0, compute capability: 8.0) | |
| WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. | |
| 2022-09-20 15:40:23.395320: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) | |
| 2022-09-20 15:40:23.395826: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499855000 Hz | |
| 2022-09-20 15:40:23.596113: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:40:24.078814: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:40:24.080549: 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/ENCSR372IGW//chrombpnet_model_feb15_fold_2//footprints’: File exists | |
| 2022-09-20 15:44:47.408309: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:44:48.523240: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:44:48.523983: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2022-09-20 15:44:48.612552: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:44:48.612661: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:44:48.614663: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:44:48.614715: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:44:48.615610: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:44:48.615782: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:44:48.617838: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:44:48.618297: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:44:48.618424: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:44:48.620083: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:44:48.620411: 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. | |
| 2022-09-20 15:44:48.620478: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2022-09-20 15:44:48.621311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:46:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 | |
| coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.45GiB deviceMemoryBandwidth: 1.41TiB/s | |
| 2022-09-20 15:44:48.621357: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:44:48.621377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:44:48.621394: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:44:48.621410: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2022-09-20 15:44:48.621426: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2022-09-20 15:44:48.621441: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2022-09-20 15:44:48.621457: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2022-09-20 15:44:48.621472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2022-09-20 15:44:48.623066: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2022-09-20 15:44:48.623102: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2022-09-20 15:44:49.058125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2022-09-20 15:44:49.058215: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2022-09-20 15:44:49.058227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2022-09-20 15:44:49.061498: 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-PCIE-40GB, pci bus id: 0000:46:00.0, compute capability: 8.0) | |
| 2022-09-20 15:45:01.430120: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) | |
| 2022-09-20 15:45:01.430642: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499855000 Hz | |
| 2022-09-20 15:45:01.568612: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2022-09-20 15:45:02.050696: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2022-09-20 15:45:02.052440: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |