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
19a027db8eae2095c1056d4199bdef77de3ef4842513c59f9b07203f2bc92aacCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
12/15/2022 2:34 AM UTC
cccf6b4ffc489111998a87e895315cec5483acfa534d2d96f358ee9a9d0a3d0dLABEL
com.nvidia.build.id=49968514
12/15/2022 2:34 AM UTC
988b36a3e782d424c799af327cbbb37905241d446f38b673b348d3cca5b51bc7ENV
NVIDIA_BUILD_ID=49968514
12/15/2022 2:34 AM UTC
5888bd4303c1afb5c65a9e1a65e904a2e63851b26d18009b9b121319803fae33ARG
NVIDIA_BUILD_ID
12/15/2022 2:34 AM UTC
c9e1b1e3a075eed103395283b0b42337c6492f4b28f38dc05e3c88caa89e942bRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.1 NVIDIA_TENSORFLOW_VERSION=22.12-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=c495e42eeb0c5d8e79bffbd91f7dcb75f4615df2 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 ${_CUDA_COMPAT_PATH}/lib
12/15/2022 2:34 AM UTC
71e293990854c98501865de2053e7940d2146517373d275043bc5f81c4d7a407RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.1 NVIDIA_TENSORFLOW_VERSION=22.12-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=c495e42eeb0c5d8e79bffbd91f7dcb75f4615df2 pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
12/15/2022 2:34 AM UTC
f73e3d5d3b8c19e2a688198b1b82d0d9d14001945581b2ce330e67c6ced49bc4RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.1 NVIDIA_TENSORFLOW_VERSION=22.12-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=c495e42eeb0c5d8e79bffbd91f7dcb75f4615df2 pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
12/15/2022 2:34 AM UTC
22b77e5ed945709be40a8c0ce276a84ced5b96fea3c565b5ae9668a6286fc7c3RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.1 NVIDIA_TENSORFLOW_VERSION=22.12-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=c495e42eeb0c5d8e79bffbd91f7dcb75f4615df2 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
12/15/2022 2:33 AM UTC
0518d5c90be5b1c02208370146dfe9efcf360bd67664e54aca70d9de40c12ee7ENV
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
12/15/2022 2:33 AM UTC
235515f73469598f6c9e06d5670b39424de185b64e4583e5acec3cb23d710981RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.1 NVIDIA_TENSORFLOW_VERSION=22.12-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=c495e42eeb0c5d8e79bffbd91f7dcb75f4615df2 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 &&
  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
12/15/2022 2:33 AM UTC
...