com.nvidia.build.ref=a76cb55e4697fc880bad58a76f8787db5ae87eac

NVIDIA_BUILD_REF

com.nvidia.build.id=26760254

NVIDIA_BUILD_ID=26760254

NVIDIA_BUILD_ID

NVIDIA_PYTORCH_VERSION=21.09 PYTORCH_BUILD_VERSION=1.10.0a0+3fd9dcf PYVER=3.8 mkdir -p /opt/dlprof &&
  mkdir -p /opt/dlprof_viewer_install &&
  cp /nvidia/tmp/pip/* /opt/dlprof_viewer_install/ &&
  cp /nvidia/opt/dlprof/bin/dlprof /opt/dlprof/ &&
  cp /nvidia/workspace/LICENSE /opt/dlprof/ &&
  cp /nvidia/workspace/README.md /opt/dlprof/ &&
  ln -sf /opt/dlprof/dlprof /usr/local/bin/dlprof &&
  cd /nvidia/opt/dlprof/bin/ &&
  pip install --no-cache-dir nvidia_dlprof_pytorch_nvtx* &&
  cd /opt/dlprof_viewer_install &&
  pip install --no-cache-dir nvidia_dlprofviewer-* &&
  rm -rf /opt/conda/lib/python3.8/site-packages/qa

NVIDIA_PYTORCH_VERSION=21.09 PYTORCH_BUILD_VERSION=1.10.0a0+3fd9dcf PYVER=3.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy pytorch-quantization

PATH=/opt/conda/bin:/opt/cmake-3.14.6-Linux-x86_64/bin/:/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

NVIDIA_PYTORCH_VERSION=21.09 PYTORCH_BUILD_VERSION=1.10.0a0+3fd9dcf PYVER=3.8 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_Deep_Learning_Container_License.pdf /workspace/