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:b9f34fd4319147e2dfde283ea6666ccd449a85440ae04dafe4da67d033a01c31	RUN	`PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/lufbgr3xu2uha40cs9ryq1zn4kxsnogl.whl PYTORCH_WHL=torch-1.2.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.0 pip3 install pycuda --verbose`	04/27/2020 8:17 PM UTC
sha256:d53226a242580b485d1515ed7f528dad87ef43180bf0f0360f37f909d1ae77ce	RUN	`PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/lufbgr3xu2uha40cs9ryq1zn4kxsnogl.whl PYTORCH_WHL=torch-1.2.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.0 echo "$PATH" && echo "$LD_LIBRARY_PATH"`	04/27/2020 8:11 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:`	04/27/2020 8:11 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`	04/27/2020 8:11 PM UTC
sha256:3f4ef053748a84e07f45fd122f48fb406010a5f3832cbc2653cff4643ebcd8a0	RUN	`PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/lufbgr3xu2uha40cs9ryq1zn4kxsnogl.whl PYTORCH_WHL=torch-1.2.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.0 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 8:11 PM UTC
sha256:0f8315a15deca0706a8ab82f949d6d5455133c957def5350404b2bc740d3d08c	RUN	`PILLOW_VERSION=pillow<7 PYTORCH_URL=https://nvidia.box.com/shared/static/lufbgr3xu2uha40cs9ryq1zn4kxsnogl.whl PYTORCH_WHL=torch-1.2.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.4.0 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 7:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`PILLOW_VERSION=pillow<7`	04/27/2020 7:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TORCHVISION_VERSION=v0.4.0`	04/27/2020 7:59 PM UTC
sha256:9ee9ab9a216ee62cf2eb540deb4a307e783ef12aa4471b1f40dfae3411e71285	RUN	`PYTORCH_URL=https://nvidia.box.com/shared/static/lufbgr3xu2uha40cs9ryq1zn4kxsnogl.whl PYTORCH_WHL=torch-1.2.0-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 7:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`PYTORCH_WHL=torch-1.2.0-cp36-cp36m-linux_aarch64.whl`	04/27/2020 6:49 PM UTC