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
ef0b91430bdc4346fbb6c075dd2a4a6e201fa08c5b16fcfe569eab6e66f91cb9CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
04/05/2022 5:00 PM UTC
51cfe0287b2b5e9a2d269805fa735651dd0bd39448b4b240a6b011f2c67f337bLABEL
com.nvidia.build.id=35256959
04/05/2022 5:00 PM UTC
2340d6d33bfd25721be0325b2b93ac1fa9523d32b25e5dc7b8d673d68c81fbe9ENV
NVIDIA_BUILD_ID=35256959
04/05/2022 5:00 PM UTC
d8a42cc69220eb15a19ef85cd13057a35f6d57729fcb79e6ed82fdca47d333f8ARG
NVIDIA_BUILD_ID
04/05/2022 5:00 PM UTC
dfabcf38e763e449ea65de6ce7a5b6ebb74b46a0c6edd216c8fd79cfc9f68009RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.04-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=fe987c8af9aeeceaa9bd118e6594f252ac3e9528 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 ${_CUDA_COMPAT_PATH}/lib
04/05/2022 5:00 PM UTC
cae146187d1cfc1894fc5d6a6a5a074784a82af1f3fa9ecf7e750f04db12d068RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.04-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=fe987c8af9aeeceaa9bd118e6594f252ac3e9528 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
04/05/2022 5:00 PM UTC
bfec86a0e82898faaeb7c54c8d75d8d09664ea393d9b6a33ab8243af6613671cENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
04/05/2022 5:00 PM UTC
a232f2f43dbe5103d7aa1f56016ae979a5c094e88fab381558082945e5b8d568RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.04-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=fe987c8af9aeeceaa9bd118e6594f252ac3e9528 URL=$(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
04/05/2022 5:00 PM UTC
f641b1354658ddbe78588f9def4e748557c4d6258a11224d519011f0450bad18RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.04-tf2 PYVER=3.8 BAZEL_VERSION=5.0.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=fe987c8af9aeeceaa9bd118e6594f252ac3e9528 cd /workspace/nvidia-examples/tensorrt &&
  patch -i /opt/tensorflow/pycoco_build.patch --strip 1 &&
  rm /opt/tensorflow/pycoco_build.patch
04/05/2022 5:00 PM UTC
1caf5ddc353fae887e359724449074e4b811ad03c47f6ebedad060f9945ae17bCOPY
pycoco_build.patch /opt/tensorflow/
04/05/2022 5:00 PM UTC
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