fold_3/logs.models.fold_3.ENCSR856XGY/logfile.modelling.fold_3.ENCSR856XGY.bias_formatting.stderr.txt

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 02:42:21.420077: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-15 02:42:24.377005: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2023-07-15 02:42:24.383442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2023-07-15 02:42:24.463902: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2023-07-15 02:42:24.463960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-15 02:42:24.488423: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2023-07-15 02:42:24.488540: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2023-07-15 02:42:24.501083: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2023-07-15 02:42:24.506889: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2023-07-15 02:42:24.528116: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2023-07-15 02:42:24.533581: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2023-07-15 02:42:24.534831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2023-07-15 02:42:24.561014: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2023-07-15 02:42:24.561409: 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 02:42:24.562381: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2023-07-15 02:42:24.562695: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2023-07-15 02:42:24.562734: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-15 02:42:24.562779: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2023-07-15 02:42:24.562804: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2023-07-15 02:42:24.562828: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2023-07-15 02:42:24.562852: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2023-07-15 02:42:24.562890: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2023-07-15 02:42:24.562913: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2023-07-15 02:42:24.562936: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2023-07-15 02:42:24.564001: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2023-07-15 02:42:24.565349: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-15 02:42:26.499009: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2023-07-15 02:42:26.499062: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2023-07-15 02:42:26.499079: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2023-07-15 02:42:26.501936: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10907 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:03:00.0, compute capability: 7.0)
2023-07-15 02:42:27.271821: 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.