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PyTorch
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NVIDIA
NVIDIA
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
LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=84f446f5c7204f47f7769a5a5f759c7622b828eb
03/11/2025 6:40 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=84f446f5c7204f47f7769a5a5f759c7622b828eb
03/11/2025 6:40 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=148941830
03/11/2025 6:40 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=148941830
03/11/2025 6:40 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=148941830
03/11/2025 6:40 PM UTC
sha256:5b17151e9710ed47471b3928b05325fa4832121a395b9647b7e50d3993e17ce0RUN
NVIDIA_PYTORCH_VERSION=25.03 PYTORCH_BUILD_VERSION=2.7.0a0+7c8ec84 NVFUSER_BUILD_VERSION=c5e1555 TARGETARCH=arm64 PYVER=3.12 PYVER_MAJMIN=312 L4T=1 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali cd /opt/pytorch/pytorch/third_party/gloo &&
  patch -p1 < /gloo.patch &&
  cd - &&
  rm /gloo.patch
03/11/2025 6:40 PM UTC
sha256:6055d2b1b56631f187cad368c4c728b5e543a1ff19ac8c8092b20330cd86047bCOPY
gloo.patch /gloo.patch
03/11/2025 6:40 PM UTC
sha256:3318952e176bb82db993dec95624f35e505a8abd380e30c1b7f895e38947d658COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
03/11/2025 6:40 PM UTC
sha256:5cc84ac41104781d511b889b6cea50d16f1ea867e16c89238a7afe0046490e24RUN
NVIDIA_PYTORCH_VERSION=25.03 PYTORCH_BUILD_VERSION=2.7.0a0+7c8ec84 NVFUSER_BUILD_VERSION=c5e1555 TARGETARCH=arm64 PYVER=3.12 PYVER_MAJMIN=312 L4T=1 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali 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
03/11/2025 6:40 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_NCCL_USE_COMM_NONBLOCKING=0
03/11/2025 6:40 PM UTC
...