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.

LayerLabelCreated
e4e0e8b45d7a750a9543683d9602635fcbb5628469e1d8f4af59b0c719702363CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
11/21/2023 7:58 PM UTC
5a63769e38608b556364fc8304e4005ba8f97017c8538e025f0978487919f40eLABEL
com.nvidia.build.id=75076559
11/21/2023 7:58 PM UTC
ec27e5002deb9cbc731addfab2aee324c1c443d2050e48c4c5cf2fef4dbb63b2ENV
NVIDIA_BUILD_ID=75076559
11/21/2023 7:58 PM UTC
64fb14eaeaefdca83d971e11620de3017cf6f75f05a95256a6f08c46224679ccARG
NVIDIA_BUILD_ID
11/21/2023 7:58 PM UTC
e749a28e58c1a8d36b09ed87560cb522e84ba8f5710b65a541f7e2150fb07f31ARG
NVIDIA_BUILD_REF
11/21/2023 7:58 PM UTC
45521aba6264898c09730e456df23873cbea75f8eec8ff3fba51653fc61b732dRUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-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 ${_CUDA_COMPAT_PATH}/lib
11/21/2023 7:58 PM UTC
13e78b871ab1136159e5d5d1124962c6f131cba4ce0334745a000a3adf216d23RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
11/21/2023 7:58 PM UTC
96e3891779a5f2d54f91c52faf67c27a719e5a631dccf83610b22f84cf6c4257RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
11/21/2023 7:58 PM UTC
fa3ffc954e7998d34d69b9e8d67086912dfddcf7e86352af87ec7252dca01ccfRUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
11/21/2023 7:57 PM UTC
2bae90a79e274be02c7c22143cdf370b84785ab1e09603ed945e4610228a99faENV
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 7:57 PM UTC
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