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TensorFlow

TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.

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    com.nvidia.build.ref=883c8dda5c74194172451dfe18ab204530fc12a5
    11/15/2024 2:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=122403186
    11/15/2024 2:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=122403186
    11/15/2024 2:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID=122403186
    11/15/2024 2:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF=883c8dda5c74194172451dfe18ab204530fc12a5
    11/15/2024 2:13 AM UTC
    sha256:92d64dd683f36bafec16b72d77e584f643ea42e6a58d25fb3d246a9875922885RUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.11-tf2 PYVER=3.12 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= 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 ${_CUDA_COMPAT_PATH}/lib
    11/15/2024 2:13 AM UTC
    sha256:fc4519ac3c41b2df6ab5259a8dfbb181e07440cbfc2838b021cb0f02887cd7dbRUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.11-tf2 PYVER=3.12 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    11/15/2024 2:13 AM UTC
    sha256:9c30bf738ca674ab9a835b12c888c090c62e7abbfa6ece3ffe2d52d2e37807dbRUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.11-tf2 PYVER=3.12 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    11/15/2024 2:13 AM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.11-tf2 PYVER=3.12 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${L4T}" = "1" ]; then echo "Not installing Polygraphy in iGPU container until version is specified."; else pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}; fi
    11/15/2024 2:12 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin:/opt/tensorrt/bin
    11/15/2024 2:12 AM UTC
    ...

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