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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
sha256:177925b6dcf7e50acfd5e76af3b70cedbdd1ed7df3639db38b23ebaba13b2cedRUN
PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/h1z9sw4bb1ybi0rm3tu8qdj8hs05ljbm.whl PYTORCH_WHL=torch-1.9.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.9.0 TORCHVISION_VERSION=v0.10.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 pip3 install --no-cache-dir --verbose pycuda six
07/27/2021 9:32 PM UTC
sha256:2262c28018a280310048d0a0e0fdacc0e03b5cc621df0acf658e386540192bf4RUN
PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/h1z9sw4bb1ybi0rm3tu8qdj8hs05ljbm.whl PYTORCH_WHL=torch-1.9.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.9.0 TORCHVISION_VERSION=v0.10.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
07/27/2021 9:27 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
07/27/2021 9:27 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
07/27/2021 9:27 PM UTC
sha256:579ce47ae2387a519600de58f7b346deb2ee09fde6febe239b37b3acff7f72faRUN
PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/h1z9sw4bb1ybi0rm3tu8qdj8hs05ljbm.whl PYTORCH_WHL=torch-1.9.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.9.0 TORCHVISION_VERSION=v0.10.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 git clone --recursive -b ${TORCHAUDIO_VERSION} https://github.com/pytorch/audio torchaudio &&
  cd torchaudio &&
  python3 setup.py install &&
  cd ../ &&
  rm -rf torchaudio
07/27/2021 9:27 PM UTC
sha256:b73a0bf964ae95a1038f4897fc2f56669fba1c6785bb464138948d4b3f4c88a4RUN
PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/h1z9sw4bb1ybi0rm3tu8qdj8hs05ljbm.whl PYTORCH_WHL=torch-1.9.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.9.0 TORCHVISION_VERSION=v0.10.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 pip3 install --no-cache-dir scikit-build &&
  pip3 install --no-cache-dir ninja
07/27/2021 9:23 PM UTC
sha256:bf00de5671848751091ba82c55f11b1ce26c27ae6ac1cd61758541519fec1770RUN
PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/h1z9sw4bb1ybi0rm3tu8qdj8hs05ljbm.whl PYTORCH_WHL=torch-1.9.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.9.0 TORCHVISION_VERSION=v0.10.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 apt-get update &&
  apt-get install -y --no-install-recommends cmake sox libsox-dev libsox-fmt-all &&
  rm -rf /var/lib/apt/lists/* &&
  apt-get clean
07/27/2021 9:21 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TORCHAUDIO_VERSION
07/27/2021 9:21 PM UTC
sha256:1cb44dee771ff9b087217b9af1f1a44c440efe44afa47096ab1fef402a8331c8RUN
PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/h1z9sw4bb1ybi0rm3tu8qdj8hs05ljbm.whl PYTORCH_WHL=torch-1.9.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.10.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 git clone -b ${TORCHVISION_VERSION} https://github.com/pytorch/vision torchvision &&
  cd torchvision &&
  python3 setup.py install &&
  cd ../ &&
  rm -rf torchvision &&
  pip3 install --no-cache-dir "${PILLOW_VERSION}"
07/27/2021 9:21 PM UTC
sha256:6c2b9910111b506cdea02dba042750dfe151e76627bedfda77fe2c5d0780e264RUN
PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/h1z9sw4bb1ybi0rm3tu8qdj8hs05ljbm.whl PYTORCH_WHL=torch-1.9.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.10.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 apt-get update &&
  apt-get install -y --no-install-recommends git build-essential libjpeg-dev zlib1g-dev &&
  rm -rf /var/lib/apt/lists/* &&
  apt-get clean
07/27/2021 8:54 PM UTC