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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.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=2235e97cfdf0c73e377b69c5420a10e4efa84fe7
    02/20/2025 1:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF=2235e97cfdf0c73e377b69c5420a10e4efa84fe7
    02/20/2025 1:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=143088496
    02/20/2025 1:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=143088496
    02/20/2025 1:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID=143088496
    02/20/2025 1:38 AM UTC
    sha256:8607f240f74e37a3b9fe5cf5fb391be1d2fb19c401727f84c39394f457f3c0e6RUN
    NVIDIA_PYTORCH_VERSION=25.02 PYTORCH_BUILD_VERSION=2.7.0a0+ecf3bae NVFUSER_BUILD_VERSION=6627725 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
    02/20/2025 1:38 AM UTC
    sha256:56a3b46a1de668ab212daf271d07abc1ff6c7d769d817b6b3a60737230e8aaa7COPY
    gloo.patch /gloo.patch
    02/20/2025 1:38 AM UTC
    sha256:d5e2c99ad92da164a2c842ff068c4aaf924842c2aede4e083137e49efaeca4cdCOPY
    entrypoint.d/ /opt/nvidia/entrypoint.d/
    02/20/2025 1:38 AM UTC
    sha256:7593d282810f529788141c9e50729faf92b49d19896e5c590c9ccd6fb37bf80cRUN
    NVIDIA_PYTORCH_VERSION=25.02 PYTORCH_BUILD_VERSION=2.7.0a0+ecf3bae NVFUSER_BUILD_VERSION=6627725 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
    02/20/2025 1:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    TORCH_NCCL_USE_COMM_NONBLOCKING=0
    02/20/2025 1:38 AM UTC
    ...

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