NVIDIA
NVIDIA
PyTorch
Container
NVIDIA
NVIDIA
PyTorch

PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.

LayerLabelCreated
0e0f91b4467ceb127f4009abf0c443e4e2b67e68f3a082ef540a871fa4f4edfcCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
04/23/2021 1:49 AM UTC
d3ee57ebba99c0531e0ad42badba8c5160affabc6bfca77a2c699104e2cd6ec9ARG
NVIDIA_BUILD_REF
04/23/2021 1:49 AM UTC
e76050b286d7ed996e8ae23b4f60ca00b318a0a365cd72c3c4e83470ae22ee3bLABEL
com.nvidia.build.id=22382700
04/23/2021 1:49 AM UTC
d5b8199c6c4fededec1b8f800da659c55df2578db3990d3889ebd35a3199e167ENV
NVIDIA_BUILD_ID=22382700
04/23/2021 1:49 AM UTC
080e5ac92d274903e2f488c680262c0eb22962751bb09ec847791d6514961eceARG
NVIDIA_BUILD_ID
04/23/2021 1:49 AM UTC
b5dfd1b586cf6319e4e8571898dc6e983d85eb6a8ada05ae731df31178c52566RUN
NVIDIA_PYTORCH_VERSION=21.04 PYTORCH_BUILD_VERSION=1.9.0a0+2ecb2c7 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
04/23/2021 1:49 AM UTC
e795dbeb08e4373c0f7559b69cf1fd390b0aaed42c310a8e11410bbc8761fb20ENV
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
04/23/2021 1:49 AM UTC
dfcd465aed86f0d89e638bdd1d05f1c028010d027d120b536f9b96f529b62993RUN
NVIDIA_PYTORCH_VERSION=21.04 PYTORCH_BUILD_VERSION=1.9.0a0+2ecb2c7 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
04/23/2021 1:49 AM UTC
a689c9fbafe38098f23e92a1f5debeed8783eb1da165d596c6833e63b5101718COPY
NVIDIA_Deep_Learning_Container_License.pdf /workspace/
04/23/2021 1:49 AM UTC
197ea4aa4b25a34afdf03fa3f74ee313bab29f4a2dacb89b74e71c6186ab1259ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
04/23/2021 1:49 AM UTC
...

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