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
61a111ac2c2d7fca48e985040a9faa8e41e5d2452ab86f9eced1941d45bbf001	CONFIG	`Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp`	02/14/2023 7:45 PM UTC
8ca9fc9b47f26ab5fc5b302f208b3a8bb60835d5dd738e1edbf38e72fc9544c5	ARG	`NVIDIA_BUILD_REF`	02/14/2023 7:45 PM UTC
cdc424e16552f3883999e240994232d29402a20ded5223a536c43c260285b361	LABEL	`com.nvidia.build.id=53420872`	02/14/2023 7:45 PM UTC
852fd8b966783856e1d8e41af2a17ccc257e52c4a4bba909c38cf274614c5f4f	ENV	`NVIDIA_BUILD_ID=53420872`	02/14/2023 7:45 PM UTC
f7b8eb03561fd926a86d5ccb2f783a2a37d0746c2d59ca6d2a951986a3d6644a	ARG	`NVIDIA_BUILD_ID`	02/14/2023 7:45 PM UTC
e7672e9862dd3262abc92d885ed22bdba4d02325c08bd51895e947c1d8831d6a	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	02/14/2023 7:45 PM UTC
0a71becf1f9404130f78da99b4a41086383810f845176a096aa7d24755f0bd03	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 ${_CUDA_COMPAT_PATH}/lib`	02/14/2023 7:45 PM UTC
b95a0b682c7f6bf6c9e763ee701df62bcf3b5e0db800ac40734ecf6abbe37d4d	ENV	`CUDA_MODULE_LOADING=LAZY`	02/14/2023 7:45 PM UTC
997fa355ccec078d6d9565422c805ceaf251aa447a5baf5240f4ade872382d19	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	02/14/2023 7:45 PM UTC
42eea1c52ddfddd4aaeb917f2e367e0c6aba39ae2c0096e9861993138ed0828b	RUN	`PYVER=3.8 pip install --no-cache-dir git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}`	02/14/2023 7:45 PM UTC