NVIDIA L4T PyTorch | NVIDIA NGC

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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.

Layer	Label		Created
sha256:71cbf190c2069617e2b993689da1042e47ed3de1998d9ac19e2270e63d1e4197	RUN	`PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl PYTORCH_WHL=torch-1.8.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.8.0 TORCHVISION_VERSION=v0.9.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 pip3 install --no-cache-dir --verbose pycuda six`	07/27/2021 8:52 PM UTC
sha256:f4845e67aa4627d9ec812089094308e7424cbedb0b529546720c98c0c2b0b539	RUN	`PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl PYTORCH_WHL=torch-1.8.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.8.0 TORCHVISION_VERSION=v0.9.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 echo "$PATH" && echo "$LD_LIBRARY_PATH"`	07/27/2021 8:47 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:`	07/27/2021 8:47 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`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 8:47 PM UTC
sha256:e6873bfd659323be4e69e14eed9a0c2d97e0a05519256e07e1e583cd83342aa9	RUN	`PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl PYTORCH_WHL=torch-1.8.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.8.0 TORCHVISION_VERSION=v0.9.0 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 8:47 PM UTC
sha256:ddf0b0cee9770dfe979ad625dc1101ab36a24ae847652e83d5c8120233e7eb4f	RUN	`PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl PYTORCH_WHL=torch-1.8.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.8.0 TORCHVISION_VERSION=v0.9.0 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 8:43 PM UTC
sha256:d67dd886a34f2f35e5631480c6b08837377f92376c246840634c7b85ac593345	RUN	`PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl PYTORCH_WHL=torch-1.8.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.8.0 TORCHVISION_VERSION=v0.9.0 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 8:41 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TORCHAUDIO_VERSION`	07/27/2021 8:41 PM UTC
sha256:1a27e94a953e65339657493fb32d460cee51724a8f74e234f1ff2233189ff6c6	RUN	`PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl PYTORCH_WHL=torch-1.8.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.9.0 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 8:41 PM UTC
sha256:210ec66a4ed745243ed4eb65f98005c7ccd89ae0a0722bc83f77868318a9679e	RUN	`PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl PYTORCH_WHL=torch-1.8.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.9.0 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 8:17 PM UTC