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=ea7eeeddfca58990ef71aaf8d37a34a16de95d29`	09/04/2024 1:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_REF=ea7eeeddfca58990ef71aaf8d37a34a16de95d29`	09/04/2024 1:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	LABEL	`com.nvidia.build.id=109635693`	09/04/2024 1:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_BUILD_ID=109635693`	09/04/2024 1:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`NVIDIA_BUILD_ID=109635693`	09/04/2024 1:11 AM UTC
sha256:1e4713074a1bf33e79bb60906c48512faed1331c66c457b541ee95518ad6ecb1	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	09/04/2024 1:11 AM UTC
sha256:af5f06b065b8dfd6e26b2962ea0e0e33ee511ac7fb8a77b1f6af9d86e877bc5e	RUN	`NVIDIA_PYTORCH_VERSION=24.09 PYTORCH_BUILD_VERSION=2.5.0a0+b465a58 NVFUSER_BUILD_VERSION=346e51c 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 ${_CUDA_COMPAT_PATH}/lib`	09/04/2024 1:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`CUDA_MODULE_LOADING=LAZY`	09/04/2024 1:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	09/04/2024 1:11 AM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1	RUN	`NVIDIA_PYTORCH_VERSION=24.09 PYTORCH_BUILD_VERSION=2.5.0a0+b465a58 NVFUSER_BUILD_VERSION=346e51c TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 if [ "${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`	09/04/2024 1:11 AM UTC