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
fc8e081b54c6a264fa5cdabc79697efecd9ddfc84b59a76980ea328fce3b4a79CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
02/04/2023 4:20 AM UTC
9661d635db660f2aadbdc17d267c0609681903c8adb6f1009e18490ab5891e15ARG
NVIDIA_BUILD_REF
02/04/2023 4:20 AM UTC
f8834f292cb5a0d47822d40908b4e2e80445ce009017371df2c94e8850938fe6LABEL
com.nvidia.build.id=52693369
02/04/2023 4:20 AM UTC
167ee5b5ace1e11bc3392c41449bc95a46c4540e21c2fd246c26feebe9f49eebENV
NVIDIA_BUILD_ID=52693369
02/04/2023 4:20 AM UTC
5820668a3c6e8bc50b4b792de01be0c2246c3105e2861934b491adc0ec1f49f8ARG
NVIDIA_BUILD_ID
02/04/2023 4:20 AM UTC
6df1a2c0a474e4201f5b010ed83a0ee2cef532627ba072cd005dc1506f1d8880RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.02-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 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 ${_CUDA_COMPAT_PATH}/lib
02/04/2023 4:20 AM UTC
1368e5a2fd4e8ed18f91a46b1b5317680d7a9f0fac06552b2126b5363cec2aedRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.02-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
02/04/2023 4:20 AM UTC
21e8ef6817eeb0caa210a99f0f1d277da36251cc7350a20721e55b1a0e15fec7ENV
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
02/04/2023 4:20 AM UTC
e815afae315eb15794a0c1d94b75dd808df76e873e621bd36179473ca5a0c721RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.02-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 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 &&
  chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
  ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
02/04/2023 4:20 AM UTC
1ff2643d02cace9e7c1ddccbfd10f50ceee903e54a0e8548757ed4a293feaed0RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.02-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 sed -i "s/NVIDIA_TENSORFLOW_VERSION/$NVIDIA_TENSORFLOW_VERSION/g" docker-examples/* &&
  ln -s /opt/tensorflow/nvidia-examples /workspace/nvidia-examples
02/04/2023 4:19 AM UTC
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