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=df5ce920d3adddfc694c4a4e440f2bd72a7c00f0`	07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF=df5ce920d3adddfc694c4a4e440f2bd72a7c00f0`	07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=100464921`	07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=100464921`	07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID=100464921`	07/09/2024 2:46 AM UTC
sha256:9da522175b91ca065f08ae1bfe6e04db82333008a367a42448c070b5848d715d	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	07/09/2024 2:46 AM UTC
sha256:bc9bcc8d44c0230e4e478b729f9ca024a7dda74e8ce1d116289c9f81f1f6d749	RUN	`NVIDIA_PYTORCH_VERSION=24.07 PYTORCH_BUILD_VERSION=2.4.0a0+3bcc3cd NVFUSER_BUILD_VERSION=f73ff1b TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 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 ${_CUDA_COMPAT_PATH}/lib`	07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`CUDA_MODULE_LOADING=LAZY`	07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	07/09/2024 2:46 AM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1	RUN	`NVIDIA_PYTORCH_VERSION=24.07 PYTORCH_BUILD_VERSION=2.4.0a0+3bcc3cd NVFUSER_BUILD_VERSION=f73ff1b TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container until Version variable is set"; else pip install --no-cache-dir --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}; fi`	07/09/2024 2:46 AM UTC