2022-05-05 09:19:01.585125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10453 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2060, pci bus id: 0000:07:00.0, compute capability: 7.5)
2022-05-05 09:19:01.590493: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
Initializing classifier...
Successfully create training list!
Successfully create testing list!
2022-05-05 09:19:06.271483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2022-05-05 09:19:07.089071: I tensorflow/core/platform/windows/subprocess.cc:308] SubProcess ended with return code: 0
2022-05-05 09:19:07.133603: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2022-05-05 09:19:07.462221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2022-05-05 09:19:07.811304: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 2.00G (2147483648 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2022-05-05 09:19:07.839808: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 1.80G (1932735232 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2022-05-05 09:19:08.017596: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2022-05-05 09:19:08.020333: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 219.88MiB 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.
2022-05-05 09:19:08.025788: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2022-05-05 09:19:08.028325: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 219.88MiB 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.
2022-05-05 09:19:08.044037: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2022-05-05 09:19:08.047021: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2022-05-05 09:19:01.585125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10453 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2060, pci bus id: 0000:07:00.0, compute capability: 7.5) 2022-05-05 09:19:01.590493: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set Initializing classifier... Successfully create training list! Successfully create testing list! 2022-05-05 09:19:06.271483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll 2022-05-05 09:19:07.089071: I tensorflow/core/platform/windows/subprocess.cc:308] SubProcess ended with return code: 0
2022-05-05 09:19:07.133603: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll 2022-05-05 09:19:07.462221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll 2022-05-05 09:19:07.811304: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 2.00G (2147483648 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2022-05-05 09:19:07.839808: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 1.80G (1932735232 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2022-05-05 09:19:08.017596: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2022-05-05 09:19:08.020333: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 219.88MiB 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. 2022-05-05 09:19:08.025788: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2022-05-05 09:19:08.028325: W tensorflow/core/common_runtime/bfc_allocator.cc:248] Allocator (GPU_0_bfc) ran out of memory trying to allocate 219.88MiB 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. 2022-05-05 09:19:08.044037: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2022-05-05 09:19:08.047021: I tensorflow/stream_executor/cuda/cuda_driver.cc:789] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
My anaconda env list
Name Version Build Channel
absl-py 0.15.0 pypi_0 pypi astunparse 1.6.3 pypi_0 pypi ca-certificates 2022.4.26 haa95532_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main cachetools 5.0.0 pypi_0 pypi certifi 2021.10.8 py38haa95532_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main charset-normalizer 2.0.12 pypi_0 pypi flatbuffers 1.12 pypi_0 pypi gast 0.3.3 pypi_0 pypi google-auth 2.6.6 pypi_0 pypi google-auth-oauthlib 0.4.6 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi grpcio 1.32.0 pypi_0 pypi h5py 2.10.0 pypi_0 pypi idna 3.3 pypi_0 pypi importlib-metadata 4.11.3 pypi_0 pypi keras-preprocessing 1.1.2 pypi_0 pypi markdown 3.3.6 pypi_0 pypi mido 1.2.10 pypi_0 pypi numpy 1.19.5 pypi_0 pypi oauthlib 3.2.0 pypi_0 pypi openssl 1.1.1n h2bbff1b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main opt-einsum 3.3.0 pypi_0 pypi pip 21.2.2 py38haa95532_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main pretty-midi 0.2.9 pypi_0 pypi protobuf 3.20.1 pypi_0 pypi pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi python 3.8.13 h6244533_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main requests 2.27.1 pypi_0 pypi requests-oauthlib 1.3.1 pypi_0 pypi rsa 4.8 pypi_0 pypi setuptools 61.2.0 py38haa95532_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main six 1.15.0 pypi_0 pypi sqlite 3.38.2 h2bbff1b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main tensorboard 2.9.0 pypi_0 pypi tensorboard-data-server 0.6.1 pypi_0 pypi tensorboard-plugin-wit 1.8.1 pypi_0 pypi tensorflow 2.4.1 pypi_0 pypi tensorflow-estimator 2.4.0 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi typing-extensions 3.7.4.3 pypi_0 pypi urllib3 1.26.9 pypi_0 pypi vc 14.2 h21ff451_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main vs2015_runtime 14.27.29016 h5e58377_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main werkzeug 2.1.2 pypi_0 pypi wheel 0.37.1 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main wincertstore 0.2 py38haa95532_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main wrapt 1.12.1 pypi_0 pypi zipp 3.8.0 pypi_0 pypi
cudatoolkit 11.1/cuDNN 8.0.4/