fold_4/logs.models.fold_4.ENCSR917WJS/logfile.modelling.fold_4.ENCSR917WJS.chrombpnet_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
2023-07-14 16:03:51.705842: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-14 16:03:54.288208: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2023-07-14 16:03:54.291763: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2023-07-14 16:03:54.321030: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:44:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 1.03TiB/s
2023-07-14 16:03:54.321117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-14 16:03:54.342007: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2023-07-14 16:03:54.342092: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2023-07-14 16:03:54.352905: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2023-07-14 16:03:54.357939: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2023-07-14 16:03:54.376365: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2023-07-14 16:03:54.381241: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2023-07-14 16:03:54.382273: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2023-07-14 16:03:54.384142: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2023-07-14 16:03:54.384459: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-07-14 16:03:54.385291: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2023-07-14 16:03:54.385649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:44:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.74GiB deviceMemoryBandwidth: 1.03TiB/s
2023-07-14 16:03:54.385677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-14 16:03:54.385692: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2023-07-14 16:03:54.385706: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2023-07-14 16:03:54.385719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2023-07-14 16:03:54.385731: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2023-07-14 16:03:54.385744: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2023-07-14 16:03:54.385757: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2023-07-14 16:03:54.385769: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2023-07-14 16:03:54.386363: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2023-07-14 16:03:54.387554: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-07-14 16:03:55.992181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2023-07-14 16:03:55.992274: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2023-07-14 16:03:55.992286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2023-07-14 16:03:55.995464: 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 V100S-PCIE-32GB, pci bus id: 0000:44:00.0, compute capability: 7.0)
2023-07-14 16:03:57.875707: 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)