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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
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=0f9b657c538fdb818588b3e3f22b517c647ee99a
03/24/2022 5:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=33659467
03/24/2022 5:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=33659467
03/24/2022 5:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
03/24/2022 5:36 AM UTC
sha256:703b9eb35d870fff1b902d8f2c55ee75dba931794f5640954bc90a9ca73d9db2RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.03-tf2 PYVER=3.8 BAZEL_VERSION=4.2.1 TFAPI=2 BAZEL_CACHE= CI_JOB_ID=33659467 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=0 NVIDIA_BUILD_REF=0f9b657c538fdb818588b3e3f22b517c647ee99a 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 ${_CUDA_COMPAT_PATH}/lib
03/24/2022 5:36 AM UTC
sha256:08c64f9b932485d4ccef5d7e012a85e2dcef50fe0f55c52447d1fdf8ce9bc807RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.03-tf2 PYVER=3.8 BAZEL_VERSION=4.2.1 TFAPI=2 BAZEL_CACHE= CI_JOB_ID=33659467 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=0 NVIDIA_BUILD_REF=0f9b657c538fdb818588b3e3f22b517c647ee99a pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
03/24/2022 5:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
03/24/2022 5:36 AM UTC
sha256:6a75e53c7bc7cc9840c3dd51251664efe0de3f0b0d1646483962e1ed720f82acRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.03-tf2 PYVER=3.8 BAZEL_VERSION=4.2.1 TFAPI=2 BAZEL_CACHE= CI_JOB_ID=33659467 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=0 NVIDIA_BUILD_REF=0f9b657c538fdb818588b3e3f22b517c647ee99a URL=$(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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
03/24/2022 5:36 AM UTC
sha256:556d8fd2c4925ee21fe35dbb5e9fd4dfe8636bbed9350806104cf0f69af025c1COPY
nvidia-examples /workspace/nvidia-examples
03/24/2022 5:36 AM UTC
sha256:5dad5d0e8e7841ac4f368b96e553d196d5963301bc7f287b95db8b5fabe1c2c3RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.8.0 NVIDIA_TENSORFLOW_VERSION=22.03-tf2 PYVER=3.8 BAZEL_VERSION=4.2.1 TFAPI=2 BAZEL_CACHE= CI_JOB_ID=33659467 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=0 NVIDIA_BUILD_REF=0f9b657c538fdb818588b3e3f22b517c647ee99a sed -i "s/NVIDIA_TENSORFLOW_VERSION/$NVIDIA_TENSORFLOW_VERSION/g" docker-examples/*
03/24/2022 5:36 AM UTC
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