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PyTorch
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NVIDIA
NVIDIA
PyTorch

PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.

NVIDIA AI Enterprise Supported
LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=9374299c9b2278e22db154941f3406954e614305
10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=46164382
10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=46164382
10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
10/13/2022 9:36 PM UTC
sha256:9b13389ffa92d1971c89b840b574a022998feb0a917d0a51cc6ecc6c4e96e1d1COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
10/13/2022 9:36 PM UTC
sha256:b75f99413198e471142a072ecd3e936e0a048442170cbfcc9624f42cc2ea16ceRUN
PYVER=3.8 ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
  echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
  ldconfig &&
  rm -f ${_CUDA_COMPAT_PATH}/lib
10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
CUDA_MODULE_LOADING=LAZY
10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_CUDNN_V8_API_ENABLED=1
10/13/2022 9:36 PM UTC
sha256:7ed5a40d20ce22ec8c79f507c17e2397d89408dc6cb1c63340f8e054a5169218RUN
PYVER=3.8 pip install --no-cache-dir /tmp/te_wheel/*.whl
10/13/2022 9:36 PM UTC
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