encode-chrombpnet-DNASE-placenta-ENCSR922YEW-ENCSR620JGM / fold_2 /logs.models.fold_2.ENCSR922YEW /logfile.modelling.fold_2.ENCSR922YEW.bias_formatting.stderr.txt
Download fold_2/logs.models.fold_2.ENCSR922YEW/logfile.modelling.fold_2.ENCSR922YEW.bias_formatting.stderr.txt from kundajelab/encode-chrombpnet-DNASE-placenta-ENCSR922YEW-ENCSR620JGM: direct link, hf CLI and curl.
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- Download file 5.12 kB
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https://huggingface.co/kundajelab/encode-chrombpnet-DNASE-placenta-ENCSR922YEW-ENCSR620JGM/resolve/main/fold_2/logs.models.fold_2.ENCSR922YEW/logfile.modelling.fold_2.ENCSR922YEW.bias_formatting.stderr.txt
- Command line
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hf download hf://kundajelab/encode-chrombpnet-DNASE-placenta-ENCSR922YEW-ENCSR620JGM/fold_2/logs.models.fold_2.ENCSR922YEW/logfile.modelling.fold_2.ENCSR922YEW.bias_formatting.stderr.txt
-
curl -L -o logfile.modelling.fold_2.ENCSR922YEW.bias_formatting.stderr.txt https://huggingface.co/kundajelab/encode-chrombpnet-DNASE-placenta-ENCSR922YEW-ENCSR620JGM/resolve/main/fold_2/logs.models.fold_2.ENCSR922YEW/logfile.modelling.fold_2.ENCSR922YEW.bias_formatting.stderr.txt
5.12 kB
| 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 | |
| 2023-07-15 02:14:37.600061: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2023-07-15 02:14:40.649404: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2023-07-15 02:14:40.655950: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 | |
| 2023-07-15 02:14:40.698529: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 | |
| coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s | |
| 2023-07-15 02:14:40.698599: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2023-07-15 02:14:40.730451: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2023-07-15 02:14:40.730598: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2023-07-15 02:14:40.747137: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2023-07-15 02:14:40.754129: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2023-07-15 02:14:40.781653: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2023-07-15 02:14:40.788079: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2023-07-15 02:14:40.789359: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2023-07-15 02:14:40.804229: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2023-07-15 02:14:40.804652: 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. | |
| 2023-07-15 02:14:40.805620: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set | |
| 2023-07-15 02:14:40.807017: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: | |
| pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 | |
| coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s | |
| 2023-07-15 02:14:40.807059: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2023-07-15 02:14:40.807108: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 | |
| 2023-07-15 02:14:40.807136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 | |
| 2023-07-15 02:14:40.807164: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 | |
| 2023-07-15 02:14:40.807192: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 | |
| 2023-07-15 02:14:40.807218: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 | |
| 2023-07-15 02:14:40.807245: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 | |
| 2023-07-15 02:14:40.807274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 | |
| 2023-07-15 02:14:40.812205: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 | |
| 2023-07-15 02:14:40.813687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 | |
| 2023-07-15 02:14:42.676091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: | |
| 2023-07-15 02:14:42.676189: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 | |
| 2023-07-15 02:14:42.676207: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N | |
| 2023-07-15 02:14:42.679321: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:04:00.0, compute capability: 6.0) | |
| 2023-07-15 02:14:43.547507: 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. | |