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=ee51dcb757cb335d7a566cfa54e05fb920ba4783
    04/03/2024 6:02 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=87841059
    04/03/2024 6:02 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=87841059
    04/03/2024 6:02 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    04/03/2024 6:02 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    04/03/2024 6:02 PM UTC
    sha256:fbe5a8357eee35cdbbef543afe2fe38f0c73150d86c6df9eafe6725e3f67eb68RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-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 ${_CUDA_COMPAT_PATH}/lib
    04/03/2024 6:02 PM UTC
    sha256:42053f9364b8bb0d6b8d72d16db41db2507dd3665f64f8818e7b3da43c9b97b0RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    04/03/2024 6:02 PM UTC
    sha256:52f47ac3b63d502dc715be19d619dc3c0461c567b423c0cc13c663e0c03a2df1RUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    04/03/2024 6:02 PM UTC
    sha256:e20cb8cf047f60f682e8b59b301659812758403a8e755c32b2bea4596ff242beRUN
    TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
    04/03/2024 6:02 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
    04/03/2024 6:02 PM UTC
    ...

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