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.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=8144ff07ab1a93e7e358ab251f2bc25d40f00b52
    11/21/2023 7:44 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=75076557
    11/21/2023 7:44 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=75076557
    11/21/2023 7:44 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    11/21/2023 7:44 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    11/21/2023 7:44 PM UTC
    sha256:429cdf83b6a89f1adb695489a32941e63123259f73b01be68845bf1b1efabf10RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 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 ${_CUDA_COMPAT_PATH}/lib
    11/21/2023 7:44 PM UTC
    sha256:1ec09bd28827d840f500dbe8a68bda1a4d52294793312632dc4282038c952312RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    11/21/2023 7:44 PM UTC
    sha256:eea5a352f017371649a2562e190ae9df3438adf09d4e0094649b319e615a6e5fRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    11/21/2023 7:44 PM UTC
    sha256:3f18e378712dc8d24adec54a442c3a8fcc1a1dc462d699663208910d5dad7946RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
    11/21/2023 7:44 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/tensorrt/bin
    11/21/2023 7:44 PM UTC
    ...

    NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.