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=971f80cb919db17dd9109526e3f85ee6d3a663a5`	09/22/2022 10:03 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF`	09/22/2022 10:03 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=44877844`	09/22/2022 10:03 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=44877844`	09/22/2022 10:03 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID`	09/22/2022 10:03 PM UTC
sha256:293b11b1b14e317d4853215f8c677f0846383704ecfd57a5baf8fafa143dcee9	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	09/22/2022 10:03 PM UTC
sha256:2179043d2e40e5c081873b4a1c428c5eb02c0ccca769c23664804d5c2b239edf	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`	09/22/2022 10:03 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`CUDA_MODULE_LOADING=LAZY`	09/22/2022 10:02 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	09/22/2022 10:02 PM UTC
sha256:d54740aa074cc74dc4d9a96fd66404f016c56af2b77e2beffd6539102e83664d	RUN	`PYVER=3.8 pip install --no-cache-dir /tmp/te_wheel/*.whl`	09/22/2022 10:02 PM UTC