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=d362e06fefd9d35018478921c987ea4f13a83188
    01/04/2024 11:21 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=78846617
    01/04/2024 11:21 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=78846617
    01/04/2024 11:21 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    01/04/2024 11:21 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    01/04/2024 11:21 PM UTC
    sha256:6d71c90fce537fdc24a917c8d2aceacb3309809b72032d34b803ee3905ed21c0RUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=1 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 ${_CUDA_COMPAT_PATH}/lib
    01/04/2024 11:21 PM UTC
    sha256:629fdff2cebdb6774ecc3ddd438492826a00d11d2100b8da6d83d318d82a1223RUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
    01/04/2024 11:21 PM UTC
    sha256:ae06df5dcf31b23f38a00212afb16b69407942f0198a8ec40385f053bc12b990RUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
      apt-get update &&
      apt-get install -y graphviz
    01/04/2024 11:21 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
    TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
    01/04/2024 11:21 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
    01/04/2024 11:21 PM UTC
    ...

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