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
49e32df640071c2e0dadebb2d42870114f423e3007dac2bbe8333d4a50a2a497CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
03/02/2023 11:40 AM UTC
26a942b7f8686f74b2147e23bc9fcd3c4f15acdce345dd7b9f996be6ae8c37daARG
NVIDIA_BUILD_REF
03/02/2023 11:40 AM UTC
878d44261d7dfcb4e080ff402155e477c8c164f02dfdb8a80ad27a0916447375LABEL
com.nvidia.build.id=54557773
03/02/2023 11:40 AM UTC
a9487f8793d104be9231ebf78e963bb7917b6392b7131a362fe84abe371f0287ENV
NVIDIA_BUILD_ID=54557773
03/02/2023 11:40 AM UTC
481659beafc5a36055429644538ea6f204b1b631a8c508a510170d5b1422682cARG
NVIDIA_BUILD_ID
03/02/2023 11:40 AM UTC
faf603be7908d87ba6beb94e59c697c2e621d2daeb334f908939e9f931eb98aeRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.03-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 ${_CUDA_COMPAT_PATH}/lib
03/02/2023 11:40 AM UTC
88b20d5309f7346705381a889e7d3640602e10d91732497bc69088b43ca051e9RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.03-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
03/02/2023 11:40 AM UTC
ec642883128a49c933842a64f75f93ee0f34345098279f112c477f0065e32ffdENV
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
03/02/2023 11:40 AM UTC
34e1bac6aa6e6e866f60aac2612f5ef121ed22fd7ba8968ca9706ad2a2d03f3eRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.03-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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
03/02/2023 11:40 AM UTC
0ecb38b2c9515949d5a8b7db0c6eff47a4531a9a8b489bbbe9b42fde516ecec6RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=23.03-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 sed -i "s/NVIDIA_TENSORFLOW_VERSION/$NVIDIA_TENSORFLOW_VERSION/g" docker-examples/* &&
  ln -s /opt/tensorflow/nvidia-examples /workspace/nvidia-examples
03/02/2023 11:39 AM UTC
...

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