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
f0bac7ada3a2647c731c8747888b012f6aec4c6a8444af37bd4e4bae6a82d378CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
09/02/2021 9:11 PM UTC
2bba13175508bda01f6e1755bd8a303e22f208b2d6d9a15f3d9050ab529cc1b9ARG
NVIDIA_BUILD_REF
09/02/2021 9:11 PM UTC
2e34e7637ac92e09f97780407595357372553d41368988d9742734e37e5e1a27LABEL
com.nvidia.build.id=26760254
09/02/2021 9:11 PM UTC
3aa25c954a05d6ff614a0297909e9f29df02e7c79752cb07e2581466ce4d8a1fENV
NVIDIA_BUILD_ID=26760254
09/02/2021 9:11 PM UTC
7a30c4aadd00c26c6d3a241d84a3e72f8fa9111d34749b7e6472f61fba6cea5fARG
NVIDIA_BUILD_ID
09/02/2021 9:11 PM UTC
eb39ea1234687012bbdf502b22dfb98a40cd52bba49bc04ae2b1f126cfaa96ffRUN
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
09/02/2021 9:11 PM UTC
edec306dbb53924d76effd2d6c818c84a319d7d8cdf0804d4cc581e1f7e88e67RUN
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
09/02/2021 9:11 PM UTC
328d02ca2d8e7f3792842f8b72f19d936dcce643df9aeceef1a5439208bd8247ENV
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
09/02/2021 9:11 PM UTC
446f9ba3ef656dd051aaf1686e2d9f433c55b9ff8a773c1c21074dac4d0a4e92RUN
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
09/02/2021 9:11 PM UTC
b6d2a88986ab0422080f3af537b69d61908d3811f0573368c729267a243725a6COPY
NVIDIA_Deep_Learning_Container_License.pdf /workspace/
09/02/2021 9:11 PM UTC
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