com.nvidia.build.ref=257cd905f7da8412250459e5624e435e5cec5edc

com.nvidia.build.id=29871111

NVIDIA_BUILD_ID=29871111

NVIDIA_BUILD_ID

TARGETARCH=amd64 TENSORFLOW_VERSION=2.6.2 NVIDIA_TENSORFLOW_VERSION=21.12-tf2 PYVER=3.8 BAZEL_VERSION=3.7.2 TFAPI=2 BAZEL_CACHE=--bazel-cache CI_JOB_ID=29871111 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=51f442d3166ad8b8a4beaad70d0f8b5250dead65 NVIDIA_BUILD_REF=257cd905f7da8412250459e5624e435e5cec5edc 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

TARGETARCH=amd64 TENSORFLOW_VERSION=2.6.2 NVIDIA_TENSORFLOW_VERSION=21.12-tf2 PYVER=3.8 BAZEL_VERSION=3.7.2 TFAPI=2 BAZEL_CACHE=--bazel-cache CI_JOB_ID=29871111 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=51f442d3166ad8b8a4beaad70d0f8b5250dead65 NVIDIA_BUILD_REF=257cd905f7da8412250459e5624e435e5cec5edc 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

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

TARGETARCH=amd64 TENSORFLOW_VERSION=2.6.2 NVIDIA_TENSORFLOW_VERSION=21.12-tf2 PYVER=3.8 BAZEL_VERSION=3.7.2 TFAPI=2 BAZEL_CACHE=--bazel-cache CI_JOB_ID=29871111 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=51f442d3166ad8b8a4beaad70d0f8b5250dead65 NVIDIA_BUILD_REF=257cd905f7da8412250459e5624e435e5cec5edc 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

nvidia-examples /workspace/nvidia-examples

TARGETARCH=amd64 TENSORFLOW_VERSION=2.6.2 NVIDIA_TENSORFLOW_VERSION=21.12-tf2 PYVER=3.8 BAZEL_VERSION=3.7.2 TFAPI=2 BAZEL_CACHE=--bazel-cache CI_JOB_ID=29871111 COMMIT_BRANCH=HEAD COMMIT_TF_SUBMODULE_SHA=51f442d3166ad8b8a4beaad70d0f8b5250dead65 NVIDIA_BUILD_REF=257cd905f7da8412250459e5624e435e5cec5edc sed -i "s/NVIDIA_TENSORFLOW_VERSION/$NVIDIA_TENSORFLOW_VERSION/g" docker-examples/*