Google
Google
TensorFlow
Container
Google
Google
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=156c7729e39ba7838be2b30e8b764bd80ac1732e
    09/04/2024 12:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=109642208
    09/04/2024 12:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=109642208
    09/04/2024 12:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID=109642208
    09/04/2024 12:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF=156c7729e39ba7838be2b30e8b764bd80ac1732e
    09/04/2024 12:11 AM UTC
    sha256:3baa8f1e5584b92c15d216a679fb7ce9ad633b798f45f9e48090367cd2e25b79RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=0 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 ${_CUDA_COMPAT_PATH}/lib
    09/04/2024 12:11 AM UTC
    sha256:00e8e9dcbb49d48a2792c253e434d5ea951c1b535f846fdce8bb84395d375504RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    09/04/2024 12:11 AM UTC
    sha256:2efd97a56e894b636bbee005358d6d3570fc59265af602a7a941005c0539e551RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    09/04/2024 12:11 AM UTC
    sha256:901df96766459c777f8bee300f69e399fad2f355278e4e3373372bc49289fd78RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${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
    09/04/2024 12:11 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/tensorrt/bin
    09/04/2024 12:10 AM UTC
    ...

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