Google
TensorFlow
Container
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=64ffd8e8138e0e61f198fa93ca8bc35c8e1f8b39
    01/19/2025 9:33 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=134984172
    01/19/2025 9:33 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=134984172
    01/19/2025 9:33 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID=134984172
    01/19/2025 9:33 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF=64ffd8e8138e0e61f198fa93ca8bc35c8e1f8b39
    01/19/2025 9:33 AM UTC
    sha256:7a0155e8d8b8b1cca39fddbf64f43db63b8ca1b72f0904a7f12d385a6e730febRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=25.01-tf2 PYVER=3.12 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= 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 ${_CUDA_COMPAT_PATH}/lib
    01/19/2025 9:33 AM UTC
    sha256:4cecefef50e6666f09964d76fdfbbeedd7b580f87c52c017b7e86e41a93884d1RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=25.01-tf2 PYVER=3.12 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    01/19/2025 9:33 AM UTC
    sha256:98054958be2ecb3eb1e0547c70534c5c9c4a6ba44202ec5c6a65308fb2c04c26RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=25.01-tf2 PYVER=3.12 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    01/19/2025 9:33 AM UTC
    sha256:10c99cc29e928b1136b8565fe1b813198d739de00592d5c92b02402303fcb394RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=25.01-tf2 PYVER=3.12 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali if [ "${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
    01/19/2025 9:33 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
    01/19/2025 9:33 AM UTC
    ...

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