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
d89afc6412f073ec89b9cb17be594e9beeb7b0a89670a0f2e6199af6a863456eCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
01/29/2023 9:28 PM UTC
1ed7895fa9db887c5e35214f5e5b5aee445c51b6e12c1b1d3c9d5d359f4482c4ARG
NVIDIA_BUILD_REF
01/29/2023 9:28 PM UTC
bf35312cf231eee6ab874a97b111a905f4aabd3189694d2f54601337a5f65494LABEL
com.nvidia.build.id=52295116
01/29/2023 9:28 PM UTC
5c8bf60f1b31ab77a8e3c78eb815e0dc66239ded3b83f3b564abe06584241830ENV
NVIDIA_BUILD_ID=52295116
01/29/2023 9:28 PM UTC
e4e4f13fdb4a658a350bdf077ee19e5961914972d255600d2cbf2d3f3ffe6acfARG
NVIDIA_BUILD_ID
01/29/2023 9:28 PM UTC
767f17b9ee7d87603427de96791931b425cd91c8df09f66bfdfae9473e48cbceRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.01-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 ${_CUDA_COMPAT_PATH}/lib
01/29/2023 9:28 PM UTC
5135c66dd0bae2789e13894bc7b04fc1168d8e6bd2a4a2109860d248263fe686RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.01-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
01/29/2023 9:28 PM UTC
253faaa042d43536852876a3ae9715145cf97c8dd556962a284584ea7da7f6beENV
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
01/29/2023 9:28 PM UTC
086ab328eb903c43ee8b48c459eb3dba75ec1487d558238e0142599fdee3e7cbRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.01-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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
01/29/2023 9:28 PM UTC
37db226ba315add18d39e1edd7ff87e165bf28aceecfc9457cefbb4cedb97a57RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.01-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 sed -i "s/NVIDIA_TENSORFLOW_VERSION/$NVIDIA_TENSORFLOW_VERSION/g" docker-examples/* &&
  ln -s /opt/tensorflow/nvidia-examples /workspace/nvidia-examples
01/29/2023 9:28 PM UTC
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