PyTorch | NVIDIA NGC

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PyTorch

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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

Layer	Label		Created
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.ref=5fd1de8d4db4f2b7b158e133c589be21fa6ec7a4`	01/28/2023 12:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF`	01/28/2023 12:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=52269074`	01/28/2023 12:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=52269074`	01/28/2023 12:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID`	01/28/2023 12:35 PM UTC
sha256:018c51ff4b9bd9db089a241f854fc9604dd4d987f0a1cd46bb0f454c3d791176	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	01/28/2023 12:35 PM UTC
sha256:52b612a8c98b1398e43dd704069ced753e2ef7f183d90c81743466c7f15ca500	RUN	`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 ${_CUDA_COMPAT_PATH}/lib`	01/28/2023 12:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`CUDA_MODULE_LOADING=LAZY`	01/28/2023 12:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	01/28/2023 12:35 PM UTC
sha256:d2e9cc5b0c55380b597f340731109476d8eb53dbb5441ecdb308afac20e75cd8	RUN	`PYVER=3.8 pip install --no-cache-dir git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}`	01/28/2023 12:35 PM UTC