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
f5553a39e30ec7329d9bd67d2c377c840d407cab03eb99093a098779426b624dCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
12/02/2020 11:51 PM UTC
9708ec85a98bc9e71aac2a2c1ceb2d78d52aff4292e9c55a2c7db14b774720a8ARG
NVIDIA_BUILD_REF
12/02/2020 11:51 PM UTC
93625b5ff8e057e5424dff033599c729825bdde847246bba4b61db551946f758LABEL
com.nvidia.build.id=18110405
12/02/2020 11:51 PM UTC
6de404ae11856336cd1c94d456174a309825ae465cae433986e845bb95fb3301ENV
NVIDIA_BUILD_ID=18110405
12/02/2020 11:51 PM UTC
88a20e92ce7460d9aa9f717d1da689105d8643abece7030354958fe7c504194aARG
NVIDIA_BUILD_ID
12/02/2020 11:51 PM UTC
b802d770a2635df1f272ab11bc3f2158445ca90e16d554d73da80a0da55b4d9aRUN
TENSORFLOW_VERSION=2.3.1 NVIDIA_TENSORFLOW_VERSION=20.12-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 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 ${_CUDA_COMPAT_PATH}/lib
12/02/2020 11:51 PM UTC
f72de81e1ba06ab1a929934bc8b3f93e7053e12698132b72d5d520bf88d4cb82RUN
TENSORFLOW_VERSION=2.3.1 NVIDIA_TENSORFLOW_VERSION=20.12-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
12/02/2020 11:51 PM UTC
4fe59594777b1a3864e2c112f48394457d2ee466fc8855624a16ae381c312e39ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
12/02/2020 11:51 PM UTC
e0771ec0d94ded9dbe614a5aef82d345690d6e69875a84315d4ebc5d8b5631c4RUN
TENSORFLOW_VERSION=2.3.1 NVIDIA_TENSORFLOW_VERSION=20.12-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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
12/02/2020 11:51 PM UTC
ae3335526c8971851373e63061ec7d1011182dcd715d7eef69e881c36084e79dCOPY
nvidia-examples /workspace/nvidia-examples
12/02/2020 11:51 PM UTC
...