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
b9dfc94e8b8b6bda37ad1859f6dd4b669ecfd37ff8dedfec25a2705f3152934bCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
09/22/2021 9:10 PM UTC
815b7d1f3bd83fe6eb636300821602c6b55b1907c337b5a90ac79e357419287fLABEL
com.nvidia.build.id=27404421
09/22/2021 9:10 PM UTC
d53e53ead4036c8b4b10d7ca41a2a49a7d47149bad09280a60aae2a4e6c09736ENV
NVIDIA_BUILD_ID=27404421
09/22/2021 9:10 PM UTC
de0ae300e06453371f50fd8968c4aa57a8bd5ca26bda1c0fc0680eab4c5f0826ARG
NVIDIA_BUILD_ID
09/22/2021 9:10 PM UTC
92632dd0f0a97c89396f3353799776c444c7484a87655b445ac7bb6aac7896ceRUN
TENSORFLOW_VERSION=2.6.0 NVIDIA_TENSORFLOW_VERSION=21.09-tf2 PYVER=3.8 BAZEL_VERSION=3.7.2 TFAPI=2 BAZEL_CACHE=--bazel-cache CI_JOB_ID=27404421 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=f23dd13a4cbbed12ec4ae62a16e4bdb2216129f9 NVIDIA_BUILD_REF=a784bc77db836f39ff08a8e75b1b62cd59e19f73 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 ${_CUDA_COMPAT_PATH}/lib
09/22/2021 9:10 PM UTC
a4d596d8b616ba0d69a821c5142e021c419fec54ec9fb3ed0d24710b69b57e33RUN
TENSORFLOW_VERSION=2.6.0 NVIDIA_TENSORFLOW_VERSION=21.09-tf2 PYVER=3.8 BAZEL_VERSION=3.7.2 TFAPI=2 BAZEL_CACHE=--bazel-cache CI_JOB_ID=27404421 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=f23dd13a4cbbed12ec4ae62a16e4bdb2216129f9 NVIDIA_BUILD_REF=a784bc77db836f39ff08a8e75b1b62cd59e19f73 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
09/22/2021 9:10 PM UTC
f2e1579baf67067cb152583a9d2cbb96d90fd11b3f54b2c93b6ce65e979a95a2ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
09/22/2021 9:10 PM UTC
3f87de79aa1c7bb2f930cb0374eab5902de481dafd5a23142b96b7c999418711RUN
TENSORFLOW_VERSION=2.6.0 NVIDIA_TENSORFLOW_VERSION=21.09-tf2 PYVER=3.8 BAZEL_VERSION=3.7.2 TFAPI=2 BAZEL_CACHE=--bazel-cache CI_JOB_ID=27404421 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=f23dd13a4cbbed12ec4ae62a16e4bdb2216129f9 NVIDIA_BUILD_REF=a784bc77db836f39ff08a8e75b1b62cd59e19f73 URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)deb.*$/\1/p")tar &&
  FILE=$(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 &&
  sed -i 's/from tensorflow import GraphDef/from tensorflow.python import GraphDef/' $UFF_PATH/converters/tensorflow/conversion_helpers.py &&
  chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
  ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
09/22/2021 9:10 PM UTC
7e8cf5839a74ea604bb5e13203f6ca20a44baa6266fd6945b46647eaf02f5060COPY
nvidia-examples /workspace/nvidia-examples
09/22/2021 9:10 PM UTC
8e759f3f551d291fb25fba9d0ce8b4507cf82b1d9e5760ea339543ef0f6022c6COPY
docker-examples docker-examples
09/22/2021 9:09 PM UTC
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