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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.

  • LayerLabelCreated
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    01/19/2025 10:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF=3857cfd7a27acea1d4e19243329fcd1dae3b222e
    01/19/2025 10:38 AM UTC
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    com.nvidia.build.id=134983855
    01/19/2025 10:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=134983855
    01/19/2025 10:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID=134983855
    01/19/2025 10:38 AM UTC
    sha256:3737d6d2a0595639721f549f70eda899b61bf14cb8725f53ab90517261a773dbCOPY
    entrypoint.d/ /opt/nvidia/entrypoint.d/
    01/19/2025 10:38 AM UTC
    sha256:553f6e7b92564473714870f87eac97c703dfb0f9787eda66f38306947cfdd5a5RUN
    NVIDIA_PYTORCH_VERSION=25.01 PYTORCH_BUILD_VERSION=2.6.0a0+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
    01/19/2025 10:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    TORCH_NCCL_USE_COMM_NONBLOCKING=0
    01/19/2025 10:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    CUDA_MODULE_LOADING=LAZY
    01/19/2025 10:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    TORCH_CUDNN_V8_API_ENABLED=1
    01/19/2025 10:38 AM UTC
    ...

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