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  • NVIDIA
    NVIDIA
    PyTorch
    Container
    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.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=25aae698093a80672c33aac448393478894f210e
    		08/19/2024 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF=25aae698093a80672c33aac448393478894f210e
    		08/19/2024 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=107063152
    		08/19/2024 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=107063152
    		08/19/2024 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID=107063152
    		08/19/2024 7:48 AM UTC
    sha256:fc129d2b2ad87f958d2f601f741de1be399999b9625050d79adf07fadffa8f39COPY
    entrypoint.d/ /opt/nvidia/entrypoint.d/
    		08/19/2024 7:48 AM UTC
    sha256:f12d1e6f5b0a2f9655c92aa7493c6a05d95ce3f24993644d4df033696aeec167RUN
    NVIDIA_PYTORCH_VERSION=24.08 PYTORCH_BUILD_VERSION=2.5.0a0+872d972 NVFUSER_BUILD_VERSION=1d02b13 TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 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 ${_CUDA_COMPAT_PATH}/lib
    		08/19/2024 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    CUDA_MODULE_LOADING=LAZY
    		08/19/2024 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    TORCH_CUDNN_V8_API_ENABLED=1
    		08/19/2024 7:48 AM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
    NVIDIA_PYTORCH_VERSION=24.08 PYTORCH_BUILD_VERSION=2.5.0a0+872d972 NVFUSER_BUILD_VERSION=1d02b13 TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container because Version variable is set"; else pip install --no-cache-dir --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}; fi
    		08/19/2024 7:48 AM UTC
    ...