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PyTorch
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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 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=84f446f5c7204f47f7769a5a5f759c7622b828eb
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=148941828
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=148941828
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=148941828
03/11/2025 6:48 PM UTC
sha256:0e20a253a7e229bcc843edfdc4815ea6d01ed39a89fb0b3f6719aea27a12929dRUN
NVIDIA_PYTORCH_VERSION=25.03 PYTORCH_BUILD_VERSION=2.7.0a0+7c8ec84 NVFUSER_BUILD_VERSION=c5e1555 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 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 6:48 PM UTC
sha256:599490394ad34745927d419c2cfbc81c3bb42e0960923ef52ebb5154563db6efCOPY
gloo.patch /gloo.patch
03/11/2025 6:48 PM UTC
sha256:b7f3d250c8993f99fe82352ce09c21c2c7dd446b8c0e36c829cf8dbfd51b0e10COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
03/11/2025 6:48 PM UTC
sha256:a5a55b00d2d4b548c06489cc265d43d8165f9dc871229aa89fd037e7c23222cdRUN
NVIDIA_PYTORCH_VERSION=25.03 PYTORCH_BUILD_VERSION=2.7.0a0+7c8ec84 NVFUSER_BUILD_VERSION=c5e1555 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 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 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_NCCL_USE_COMM_NONBLOCKING=0
03/11/2025 6:48 PM UTC
...