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
cffaf5753b88f55b5a59adde455026b2a8b8bb24a495e672ce78d03537a2a114CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
06/17/2021 11:02 PM UTC
779b9b7f84c570814edb4400eeaa693c6fc95ada73ecd83211e4a4bfdaf2e799ARG
NVIDIA_BUILD_REF
06/17/2021 11:02 PM UTC
6fa8e361aff23e948b50bf69e1321337d10b3134e5af68085862d99d3d09d8b1LABEL
com.nvidia.build.id=24129275
06/17/2021 11:02 PM UTC
634338cfd6ba12549ca7ea212229aa59408f1a6969636733b657b01e2280d6dcENV
NVIDIA_BUILD_ID=24129275
06/17/2021 11:02 PM UTC
4175b8e6260cede064cf1d86ffd75f02a2d75fd715193779e15c78d312137d2bARG
NVIDIA_BUILD_ID
06/17/2021 11:02 PM UTC
1b7adb4391ba5c8ecb94b8ab62cd7e83ed4295b562f8a8d66e76e996c49e3412RUN
NVIDIA_PYTORCH_VERSION=21.06 PYTORCH_BUILD_VERSION=1.9.0a0+c3d40fd 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
06/17/2021 11:02 PM UTC
2044a4041e423a41c1dcb5ddd37132c7e7f4637565124f22fc6d724323c8b78cENV
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
06/17/2021 11:01 PM UTC
85c5605c01f115dc1c47fb1e75e24643e35f3d198793b4af479abe8fa4e10701RUN
NVIDIA_PYTORCH_VERSION=21.06 PYTORCH_BUILD_VERSION=1.9.0a0+c3d40fd 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
06/17/2021 11:01 PM UTC
767c0b8ae13f5f686f0f73858569b762cddb19b16df49614174b919cd9e1a479COPY
NVIDIA_Deep_Learning_Container_License.pdf /workspace/
06/17/2021 11:01 PM UTC
fa516f5e76a75442c0ece32bd5c20a45153150597da8bd13248a77207239ff40ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
06/17/2021 11:01 PM UTC
...

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