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
fc6c7087fc19ce5d01baef850025d9d3e16580dfab331a9a4cdec6d6f2148964CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
08/04/2022 8:11 AM UTC
fa7e1eb68f008ad0e206272bd6315ec25a3c96a16e131d29b04ba2d797c33cb8ARG
NVIDIA_BUILD_REF
08/04/2022 8:11 AM UTC
0b0909c145419685c5ebf6d73dc9a1d46cb352adebca588bdf94c2a34295719cLABEL
com.nvidia.build.id=42105471
08/04/2022 8:11 AM UTC
5c6a939823a28e11450d9b39da538c27522f730455b1422e418f071749faab64ENV
NVIDIA_BUILD_ID=42105471
08/04/2022 8:11 AM UTC
594df01e2095b85f3d13e51c3a45da71d8dfd394cd419c163c0bf9e5d0b8ee76ARG
NVIDIA_BUILD_ID
08/04/2022 8:11 AM UTC
e43811ac039a6964d519350adebe8863f17ce89b49961ccfabc03fb343677ce2RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.08-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 ${_CUDA_COMPAT_PATH}/lib
08/04/2022 8:11 AM UTC
4d11581f2b91ce8cd19c5a4d477859c03aaff62923c3251eecb4ff58e8778cc1RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.08-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
08/04/2022 8:11 AM UTC
e95e421293ea4ef5832819509f580d6e99c1a98fd97c83289f63ba5bd77e7429ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
08/04/2022 8:11 AM UTC
ef9d5756b0e9cb7cfa6e3b1ed16af59b0a376b389ad345fe6bb5f556bc5828e3RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.08-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(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
08/04/2022 8:11 AM UTC
cd927287a3a0fe58c61b8a082ad24899697a0a62079fc42d32a85f6abb276d39COPY
nvidia-examples /workspace/nvidia-examples
08/04/2022 8:11 AM UTC
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