NVIDIA
NVIDIA
PyTorch
Container
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.

LayerLabelCreated
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com.nvidia.build.ref=9c1418bda5c73fbaaa8b9d24b85f7d3ab68df786
11/21/2023 12:48 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
11/21/2023 12:48 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=74957750
11/21/2023 12:48 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=74957750
11/21/2023 12:48 AM UTC
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NVIDIA_BUILD_ID
11/21/2023 12:48 AM UTC
sha256:586ebb7e16f5c98e38cdfe4cc71e3f3b7bab4341e8e4d3f47a171eae6249410cCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
11/21/2023 12:48 AM UTC
sha256:cdeb5fce469f455c67093b6e47d18db902995042e8bd8f7fdbc997d68364c04eRUN
PYVER=3.10 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 ${_CUDA_COMPAT_PATH}/lib
11/21/2023 12:48 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
CUDA_MODULE_LOADING=LAZY
11/21/2023 12:48 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_CUDNN_V8_API_ENABLED=1
11/21/2023 12:48 AM UTC
sha256:fbe9d4ad4a9eb80ce7910dcef4d293b13252c88986911dc5c33aef60fda2fb3aRUN
PYVER=3.10 if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container until Version variable is set"; else pip install --no-cache-dir --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}; fi
11/21/2023 12:48 AM UTC
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