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
7cec906dbd97dd915250e19eab3cfe4af1899df2863af6fec28c721e555b768eCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
04/28/2021 10:49 PM UTC
2675f908f87151b373ebb8cfffcf1d6b51433901f9258f8cd5d46388480e0e44ARG
NVIDIA_BUILD_REF
04/28/2021 10:49 PM UTC
5fefa44f1d83f185822b4d32d7e60721d1a8fd4094d0a115a39e0d9fe0279546LABEL
com.nvidia.build.id=22595835
04/28/2021 10:49 PM UTC
ee1419ccf439818d9e67b17ceea4757b023c6c0ebb8c7e61301b86fe4483c961ENV
NVIDIA_BUILD_ID=22595835
04/28/2021 10:49 PM UTC
ac50643338b0c7de46c358f4e2257065f7078070ed111bd513d884a57983f381ARG
NVIDIA_BUILD_ID
04/28/2021 10:49 PM UTC
e1b313d7e6b800097616331112fc4e7ed094015c392046742cd80d7a99f704b5RUN
NVIDIA_PYTORCH_VERSION=21.05 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
04/28/2021 10:49 PM UTC
65f47c6ad6547a8d5c96c14e0d27d8a17b97649d1c4b50bd2762707ff92c8fc2ENV
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
04/28/2021 10:49 PM UTC
b451ac9acf0afdf7a741e3e2c2d8ad13511224442fe3574fd236d852598aae6fRUN
NVIDIA_PYTORCH_VERSION=21.05 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
04/28/2021 10:49 PM UTC
096cb0eb59a6a1d9e0a3fc6ce5b7f46eb2fa2aff3331847dd70a5acf6df8c66cCOPY
NVIDIA_Deep_Learning_Container_License.pdf /workspace/
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085a3f1b5f71b7aa33a01bf3a9dc3ff1f80da83be0b9dde0fa0c237daedcc1ccENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
04/28/2021 10:49 PM UTC
...

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