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
4094cea214801afa78872ed0ffd4d4ac7c02990d8c01f24946c78689bd63633cCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
12/15/2022 5:40 AM UTC
a177ea6d613b7c4cd3d9c1e62d90ab608869bd760df9a76777128bd1bacd631bARG
NVIDIA_BUILD_REF
12/15/2022 5:40 AM UTC
77c98c334f7ac68d57f5d2b4e422e0fe069058e7763a77c1fd448aeb547bdff7LABEL
com.nvidia.build.id=49987245
12/15/2022 5:40 AM UTC
2e304785c55b4aa31e9d175c0fb4765275f109cd80340c4b6f9d9eea1ae08279ENV
NVIDIA_BUILD_ID=49987245
12/15/2022 5:40 AM UTC
c51801a2b7758a51f2f80fb6d916f677795afc48531e4b95e404c3bef44e0f63ARG
NVIDIA_BUILD_ID
12/15/2022 5:40 AM UTC
eb84ad5ab8e1d2e2dca0acd7a0c38c4e4a4fb970517c97ba9d6ca71baced8cf1RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.12-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 ${_CUDA_COMPAT_PATH}/lib
12/15/2022 5:40 AM UTC
d8cf5b74ebc6e46a0a36bc0d3fabb9d40c204251dddc680e0c132b95e186daccRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.12-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
12/15/2022 5:40 AM UTC
e1ee7418ea4a8ca9f8b178081d22a0ecb0f2bf4c24d59ac825349042155fc2f8ENV
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
12/15/2022 5:40 AM UTC
506a181714583bac43f828cd4be3b88cbf0d379280a402c7e1405945a84983f4RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.12-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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
12/15/2022 5:40 AM UTC
982ea0fb2cf094e5c119f373252c46cc9841605536adc7fb5d2a981f00943a6dRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.12-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 sed -i "s/NVIDIA_TENSORFLOW_VERSION/$NVIDIA_TENSORFLOW_VERSION/g" docker-examples/* &&
  ln -s /opt/tensorflow/nvidia-examples /workspace/nvidia-examples
12/15/2022 5:38 AM UTC
...

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