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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=b1f887131189398e8b700f2858893646a7e89c21
    09/07/2023 5:39 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=68583340
    09/07/2023 5:39 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=68583340
    09/07/2023 5:39 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    09/07/2023 5:39 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    09/07/2023 5:39 AM UTC
    sha256:32dd814bc2668627c44aba25e6c33128a6d791f1a087657bb70942aebd0bca67RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 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 ${_CUDA_COMPAT_PATH}/lib
    09/07/2023 5:39 AM UTC
    sha256:ddb9904ec4baf9cbaa94ecc2eade61e3964409dbe25e9c94f9fc10c5c7b9ffa3RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    09/07/2023 5:39 AM UTC
    sha256:9a84ad5f72815779afdb909ce54227b8f7e916b42868a337b0e95d3903ab7b0cRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    09/07/2023 5:39 AM UTC
    sha256:f9f2bd8c2d75a2d8d318ea066137adff7abed5d3f13c6f0aabcd6070fe9498aaRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= if [ "${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
    09/07/2023 5:38 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
    09/07/2023 5:38 AM UTC
    ...

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