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
bd3479190fb1fb769db02c984b35d6fb3d25aad3c48035704dbd10999413710fCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
03/19/2021 2:20 AM UTC
195ade558781e2d271238ad0f0c29529f985dc6481acd5451486a065c8cbfd7eARG
NVIDIA_BUILD_REF
03/19/2021 2:20 AM UTC
79db800454730988d6f31c4eda191d2491d4680d0018e49878b2734e87268a86LABEL
com.nvidia.build.id=21060478
03/19/2021 2:20 AM UTC
c3c5cf5c4f3fd8e195c8def451390950448fd0d8c5ce61cbbb73d2886ce35226ENV
NVIDIA_BUILD_ID=21060478
03/19/2021 2:20 AM UTC
2f4929221b1442be1de791b0270ab34ac85d9e8f79f0a9f40b66b020d0971c59ARG
NVIDIA_BUILD_ID
03/19/2021 2:20 AM UTC
a52982f6d1aa60790d305240aaaf458004af16c9ad82a66df03c0dd7af2ae40bRUN
NVIDIA_PYTORCH_VERSION=21.03 PYTORCH_BUILD_VERSION=1.9.0a0+df837d0 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
03/19/2021 2:20 AM UTC
3ece7c302d1011e642eefec7cae9b535c3c37de52e9cdb682f131a032a0e1bcaENV
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
03/19/2021 2:20 AM UTC
2050a9cae628fef33bbce3eb88f57710f19b36cf6b9858bc8e96e947bf194fedRUN
NVIDIA_PYTORCH_VERSION=21.03 PYTORCH_BUILD_VERSION=1.9.0a0+df837d0 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
03/19/2021 2:20 AM UTC
035b947589be1a7bc4e0e220bd7c38aa07f2d3eccde0ee87b03cd0f429997778COPY
NVIDIA_Deep_Learning_Container_License.pdf /workspace/
03/19/2021 2:19 AM UTC
76d8739ecb714feeac4717e5b3c10f393c11314128c1b5851d717c4666da0381ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
03/19/2021 2:19 AM UTC
...

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