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
187fc25e6b734da7b3daca87487ec50bad7f83e80193469e4e97e40508b8a74bCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
09/22/2022 9:39 PM UTC
088c0ad02a56aaa3e45a4c3ed35b5b62c58246f31497f7ab76b1a1bdb0d4cf6fLABEL
com.nvidia.build.id=44878075
09/22/2022 9:39 PM UTC
972f1fe8f594e49d7e0e4f9a53bd55ba6811e5eda25a96e9ebfb2615c8cfdde8ENV
NVIDIA_BUILD_ID=44878075
09/22/2022 9:39 PM UTC
7ca801a0499ce19512a20bb9cf34bcd46a68b90f51043f89239b00e5405d95b1ARG
NVIDIA_BUILD_ID
09/22/2022 9:39 PM UTC
932cf3d6babb63ed52fd257c41120c58bcd0da190d0fb2b7bfc66f007381ed6dRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.9.1 NVIDIA_TENSORFLOW_VERSION=22.09-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=010aae694ba2e8ed19fcd798bc36b1115181cdec 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 ${_CUDA_COMPAT_PATH}/lib
09/22/2022 9:39 PM UTC
51f97e85872bcbc689434187a652ac4689d035289411d661531f88a2a22650e7RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.9.1 NVIDIA_TENSORFLOW_VERSION=22.09-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=010aae694ba2e8ed19fcd798bc36b1115181cdec pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
09/22/2022 9:39 PM UTC
7f6d6fdd34c9eaeaf88e102bf5382699cbb530838efe95a0c9e723e8bba85f47RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.9.1 NVIDIA_TENSORFLOW_VERSION=22.09-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=010aae694ba2e8ed19fcd798bc36b1115181cdec pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
09/22/2022 9:39 PM UTC
a1fa892896f2ceb75bfd19ac9549d3e091cac2115db0e3aaf57d125a4386ab30RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.9.1 NVIDIA_TENSORFLOW_VERSION=22.09-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=010aae694ba2e8ed19fcd798bc36b1115181cdec pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
09/22/2022 9:38 PM UTC
b2db3a4c7a8ebfe94f0212067849defeb6304f5fc50c0ecd29c006b690c97559ENV
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
09/22/2022 9:38 PM UTC
978485141b8cfe50304e1ff4a4b4afc13bbdf6e56bd6d137f0a77345e31092eeRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.9.1 NVIDIA_TENSORFLOW_VERSION=22.09-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=010aae694ba2e8ed19fcd798bc36b1115181cdec URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar &&
  FILE=$(wget -O - $URL 2>/dev/null | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | grep -v internal) &&
  wget --quiet $URL/$FILE -O - | tar -xz &&
  PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))') &&
  pip install TensorRT-*/python/tensorrt-*-cp$PY*.whl &&
  pip install TensorRT-*/graphsurgeon/graphsurgeon-*.whl &&
  pip install TensorRT-*/uff/uff-*.whl &&
  mv /usr/src/tensorrt /opt &&
  ln -s /opt/tensorrt /usr/src/tensorrt &&
  rm -r TensorRT-* &&
  UFF_PATH=$(pip show uff | sed -n 's/Location: \(.*\)$/\1/p')/uff &&
  sed -i 's/from tensorflow import GraphDef/from tensorflow.python import GraphDef/' $UFF_PATH/converters/tensorflow/conversion_helpers.py &&
  chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
  ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
09/22/2022 9:38 PM UTC
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