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
a07c1be7d57d5ef8df69a76d114aab1debc26fc04cab7408e18ed9c6e8fb2357CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
11/21/2022 7:36 AM UTC
bf3be76bfd9d1b6c710cd590cac4fb31d2ee5e7e7f4f42867fce340b56ea1deaLABEL
com.nvidia.build.id=48527487
11/21/2022 7:36 AM UTC
1d484f4cdc0d5d361d70dd7c231c093f973518de40b87df5c175e9b77ced6aa2ENV
NVIDIA_BUILD_ID=48527487
11/21/2022 7:36 AM UTC
f219ab4be43aab31e8d400f37c3b90ac0b89621c468f64d6d12c57e964c51a23ARG
NVIDIA_BUILD_ID
11/21/2022 7:36 AM UTC
334fb5dafc157168ba9ce468ece976f6b177abc59012c40d243c79e350833a81RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.11-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=3f7da304e2aebe4d6449eb1cccf6dee16d819476 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 ${_CUDA_COMPAT_PATH}/lib
11/21/2022 7:36 AM UTC
d5b107ca066640d889144e0e43ef4e5af6f17616006c0fa12ad22f82fb67f555RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.11-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=3f7da304e2aebe4d6449eb1cccf6dee16d819476 pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
11/21/2022 7:36 AM UTC
23ca3105e643a5cb2404c64233af0ff067ad7f025a03812ce1f9ac4368790f02RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.11-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=3f7da304e2aebe4d6449eb1cccf6dee16d819476 pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
11/21/2022 7:36 AM UTC
199aff0270a039c019b4dae9895db225f539b84cacb5494eaab4c7071c14fbc7RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.11-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=3f7da304e2aebe4d6449eb1cccf6dee16d819476 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
11/21/2022 7:35 AM UTC
d7cd74e84381adc589b35a8a351652c95149fe95510e80c518d862e4c6b778c9ENV
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
11/21/2022 7:35 AM UTC
6649921138262d3fff918267c873c7fbe66071da559beab2b149cf66f0df7526RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.10.0 NVIDIA_TENSORFLOW_VERSION=22.11-tf2 PYVER=3.8 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= NVIDIA_BUILD_REF=3f7da304e2aebe4d6449eb1cccf6dee16d819476 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
11/21/2022 7:35 AM UTC
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