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
cc22397400b7094110a82adce0d343fa784ba92617e4d33e553fa56f6d21e5bdCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
10/13/2022 10:46 PM UTC
8a0b4ecf10b8a73d92f6e0ac62a4ed39f17252cb7d9f3790ee02d83247260071LABEL
com.nvidia.build.id=46170915
10/13/2022 10:46 PM UTC
58a7a5ea47beee2b7f75d46867e25c3822562a5537c363424c3b12d6504ec305ENV
NVIDIA_BUILD_ID=46170915
10/13/2022 10:46 PM UTC
7c8668e90a9395e849d484f89c1f33c08a04b913f9c43e08ff10759902d041d9ARG
NVIDIA_BUILD_ID
10/13/2022 10:46 PM UTC
8505560b2726702fb3d761b4ade047139090b033bb8253bb1ec1a110323cbd5cRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.10-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=8fd418cafb35c5bd3e55fbab41253d94cc0a43ff 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 ${_CUDA_COMPAT_PATH}/lib
10/13/2022 10:46 PM UTC
673c69c8d6bc324715644d6d37fcf784a7d2bcf95346ae868b784fe1a962323fRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.10-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=8fd418cafb35c5bd3e55fbab41253d94cc0a43ff pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
10/13/2022 10:46 PM UTC
61b8da9fd2d34e8366153c122fe8e0722306a781859dbe60364a6619076f4ebfRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.10-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=8fd418cafb35c5bd3e55fbab41253d94cc0a43ff pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
10/13/2022 10:46 PM UTC
edff3e872a182e22b03d730f00be1ada1d929fa6d009d75ef0c9849a1770fbe0RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.10-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=8fd418cafb35c5bd3e55fbab41253d94cc0a43ff pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
10/13/2022 10:46 PM UTC
862ee2ae9233583e3acd85aa2f3dce85b7bb3e27837695ca1ea790457e064198ENV
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
10/13/2022 10:46 PM UTC
f9685eea3479dc1e87cf944f39274d7a3f8927edc1b75d185ca276392a43e918RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.10-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=8fd418cafb35c5bd3e55fbab41253d94cc0a43ff 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
10/13/2022 10:46 PM UTC
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