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=5135f7dcdc5158287853191ef360f380a0d39780
    12/06/2024 8:56 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=126885133
    12/06/2024 8:56 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=126885133
    12/06/2024 8:56 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID=126885133
    12/06/2024 8:56 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF=5135f7dcdc5158287853191ef360f380a0d39780
    12/06/2024 8:56 PM UTC
    sha256:d133cab026705c051ccc88c5526593f82361624e9dcc4cd5c19b7aa9242ca3eeRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 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 ${_CUDA_COMPAT_PATH}/lib
    12/06/2024 8:56 PM UTC
    sha256:2741b3f7b8a15fa2caa67d66a9c8bdc2f6d6cca94853aa1a19c709505298cb7aRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    12/06/2024 8:56 PM UTC
    sha256:7e643e6ee5bd447e2a6eb4f1da06a490248ae6401d656945bcdcbef861afc3e7RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    12/06/2024 8:56 PM UTC
    sha256:128f03b647015759083a3e498c913bcc838523d74c55c183e280e40e615d32adRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${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
    12/06/2024 8:56 PM 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
    12/06/2024 8:56 PM UTC
    ...

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