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.

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Layer	Label		Created
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.ref=9374299c9b2278e22db154941f3406954e614305`	10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF`	10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=46164382`	10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=46164382`	10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID`	10/13/2022 9:36 PM UTC
sha256:9b13389ffa92d1971c89b840b574a022998feb0a917d0a51cc6ecc6c4e96e1d1	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	10/13/2022 9:36 PM UTC
sha256:b75f99413198e471142a072ecd3e936e0a048442170cbfcc9624f42cc2ea16ce	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`	10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`CUDA_MODULE_LOADING=LAZY`	10/13/2022 9:36 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	10/13/2022 9:36 PM UTC
sha256:7ed5a40d20ce22ec8c79f507c17e2397d89408dc6cb1c63340f8e054a5169218	RUN	`PYVER=3.8 pip install --no-cache-dir /tmp/te_wheel/*.whl`	10/13/2022 9:36 PM UTC