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NVIDIA L4T PyTorch
Container
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NVIDIA L4T PyTorch

PyTorch is a GPU accelerated tensor computational framework with a Python front end. This container contains PyTorch and torchvision pre-installed in a Python 3 environment to get up & running quickly with PyTorch on Jetson.

LayerLabelCreated
sha256:9e4c2becc11eec830310dbd18763e7408f5f902803341f1ee384645dc6d8e49dRUN
PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/017sci9z4a0xhtwrb4ps52frdfti9iw0.whl PYTORCH_WHL=torch-1.3.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.2 pip3 install pycuda --verbose
04/27/2020 8:39 PM UTC
sha256:b9f819fbffed62e134acdd1f4c6605b226a9f8854fa83798cd3c9a6aed924f05RUN
PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/017sci9z4a0xhtwrb4ps52frdfti9iw0.whl PYTORCH_WHL=torch-1.3.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.2 echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
04/27/2020 8:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
04/27/2020 8:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
04/27/2020 8:33 PM UTC
sha256:5feb513d2ee88eb58944824a34a9cc540a00b98676045723f1b3e9ceaf77c557RUN
PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/017sci9z4a0xhtwrb4ps52frdfti9iw0.whl PYTORCH_WHL=torch-1.3.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.2 git clone -b ${TORCHVISION_VERSION} https://github.com/pytorch/vision torchvision &&
  cd torchvision &&
  python3 setup.py install &&
  cd ../ &&
  rm -rf torchvision &&
  pip3 install "${PILLOW_VERSION}"
04/27/2020 8:33 PM UTC
sha256:75084f54aeacaaf3130ee7e7095abff6f892c581fb1054df94500a04a164b9f2RUN
PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/017sci9z4a0xhtwrb4ps52frdfti9iw0.whl PYTORCH_WHL=torch-1.3.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.2 apt-get update &&
  apt-get install -y --no-install-recommends git build-essential libjpeg-dev zlib1g-dev &&
  rm -rf /var/lib/apt/lists/*
04/27/2020 8:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
PILLOW_VERSION=pillow<7
04/27/2020 8:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TORCHVISION_VERSION=v0.4.0
04/27/2020 8:18 PM UTC
sha256:f5ebffd90d5749a8bf39d4edcbd555f868f5ef40facaa10cb39782fb78a11147RUN
PYTORCH_URL=https://nvidia.box.com/shared/static/017sci9z4a0xhtwrb4ps52frdfti9iw0.whl PYTORCH_WHL=torch-1.3.0-cp36-cp36m-linux_aarch64.whl wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${PYTORCH_URL} -O ${PYTORCH_WHL} &&
  pip3 install ${PYTORCH_WHL} --verbose &&
  rm ${PYTORCH_WHL}
04/27/2020 8:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
PYTORCH_WHL=torch-1.2.0-cp36-cp36m-linux_aarch64.whl
04/27/2020 6:49 PM UTC