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=b4202741d89962808ea318dd048d185dafe3367f`	04/15/2023 2:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF`	04/15/2023 2:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=58180998`	04/15/2023 2:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=58180998`	04/15/2023 2:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID`	04/15/2023 2:28 AM UTC
sha256:bb48a35e7cf2d571b42923475d214ba83b5ad606621177863ef89435b53fb161	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	04/15/2023 2:28 AM UTC
sha256:1cdabc0ea87d123409638d00798d337e2d42470fe6a3b540b4daa53e6b879cd2	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 ${_CUDA_COMPAT_PATH}/lib`	04/15/2023 2:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`CUDA_MODULE_LOADING=LAZY`	04/15/2023 2:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	04/15/2023 2:28 AM UTC
sha256:a054355b9a82f2e1ec04783a5b974766d59df6d3f88d63baa78b8690f3bde022	RUN	`PYVER=3.8 pip install --no-cache-dir git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}`	04/15/2023 2:28 AM UTC