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
90de196dacffa86b07332c70be0971859013f764fe0c322c8a1b808126314686CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
08/16/2021 10:50 PM UTC
7a7ac9626a247671c97d792565962fa0a05703ec5b391edb4586d241b3e489dfARG
NVIDIA_BUILD_REF
08/16/2021 10:50 PM UTC
e8de4264839aae49984dec0782d6200319f773a3457c2269a9a573b158f58545LABEL
com.nvidia.build.id=26011915
08/16/2021 10:50 PM UTC
5523600a81d11dc4b0c45c17f77e7950df764e32f11623c4b72d0031a8f453bdENV
NVIDIA_BUILD_ID=26011915
08/16/2021 10:50 PM UTC
f5b9d9841184633496929e390c37effc65103238fcca369516ab2bd389ac8762ARG
NVIDIA_BUILD_ID
08/16/2021 10:50 PM UTC
acc2ab7b15ea5af9a9133cbd83766a7bb2703a227e7d41440c36885173598796RUN
NVIDIA_PYTORCH_VERSION=21.08 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
08/16/2021 10:50 PM UTC
be97b2df02d6f4e5fa47d52e40ccc4e5fb113d0f9c71e1d9d8d08ef22d844360RUN
NVIDIA_PYTORCH_VERSION=21.08 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
08/16/2021 10:50 PM UTC
91d57a89b420fd7a379f0caa590e70c5998b52fb0442dfc7f6baf59de27f5cd8ENV
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
08/16/2021 10:49 PM UTC
d197c03012ecd8f5be5809608cd2919a67a21cb34f1765a75faf4a75b607ae70RUN
NVIDIA_PYTORCH_VERSION=21.08 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
08/16/2021 10:49 PM UTC
cdfee2850a6f6ea2f21d1f2b0701ab358b1b43d05a713fbf91db3920d9bfa006COPY
NVIDIA_Deep_Learning_Container_License.pdf /workspace/
08/16/2021 10:49 PM UTC
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