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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=2235e97cfdf0c73e377b69c5420a10e4efa84fe7
02/19/2025 10:56 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=2235e97cfdf0c73e377b69c5420a10e4efa84fe7
02/19/2025 10:56 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=143088498
02/19/2025 10:56 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=143088498
02/19/2025 10:56 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=143088498
02/19/2025 10:56 PM UTC
sha256:5b17151e9710ed47471b3928b05325fa4832121a395b9647b7e50d3993e17ce0RUN
NVIDIA_PYTORCH_VERSION=25.02 PYTORCH_BUILD_VERSION=2.7.0a0+ecf3bae NVFUSER_BUILD_VERSION=6627725 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
02/19/2025 10:56 PM UTC
sha256:447fe5a655f1d29c12e544a78573e2cbdf1e0c62a119f4686717a82f91a40e5aCOPY
gloo.patch /gloo.patch
02/19/2025 10:56 PM UTC
sha256:8368f46da269bd5c3ed473fd2dc38aeb7bab9470faeea2ddf0e7445ca7203799COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
02/19/2025 10:56 PM UTC
sha256:7a4137616fbb9a655bac026994bb86c308f2776f70773b6fc5e78ce18dbd36cbRUN
NVIDIA_PYTORCH_VERSION=25.02 PYTORCH_BUILD_VERSION=2.7.0a0+ecf3bae NVFUSER_BUILD_VERSION=6627725 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
02/19/2025 10:56 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_NCCL_USE_COMM_NONBLOCKING=0
02/19/2025 10:56 PM UTC
...