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
e9716eb4628100b90ad4051806d282cfa639dad606d74a88f98f43c56608537cCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
04/22/2021 11:21 PM UTC
83312a48aa152c626471646407af4a028fed64039f852153a65ac92d9ea7ff1eARG
NVIDIA_BUILD_REF
04/22/2021 11:21 PM UTC
d6eeb6029b246f052d49ead83115eb1d7466f44eefac992cd99b98e08e317312LABEL
com.nvidia.build.id=22382848
04/22/2021 11:21 PM UTC
7c73e1e9b2178fbf0db12ea445712cbd4ef7f55aef649111a9ae1e7be32ed529ENV
NVIDIA_BUILD_ID=22382848
04/22/2021 11:21 PM UTC
e6b9f4956dd6ae1992f904f070fa03a752917afe73ad435762f19fee668fd9cfARG
NVIDIA_BUILD_ID
04/22/2021 11:21 PM UTC
b2d3456a2ff4e82d13e629e5a693dbec905959f99d0abd4d08317910375fe0f4RUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.04-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 ${_CUDA_COMPAT_PATH}/lib
04/22/2021 11:21 PM UTC
e9d03b4fa2885c122d2859521307b01196800be64ed31603dec2f8416d2247d5RUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.04-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
04/22/2021 11:20 PM UTC
b32926eb47b2c67048d9dc662dc89d580c3b25e6df7293c805ad88882e40a030ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
04/22/2021 11:20 PM UTC
9b27ec438590111fd26b05b204c68f6bd878be629c429ffa263332791d2d149bRUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.04-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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
04/22/2021 11:20 PM UTC
7d5255950154bfcec690e13c87568b61480e6c6248dd54c0a6b4e7f9cafd56f2COPY
nvidia-examples /workspace/nvidia-examples
04/22/2021 11:20 PM UTC
...