AIoT AI library for pop
Project description
How to use
Install dependencies
sudo apt install libjpeg-dev zlib1g-dev libopenblas-dev libavcodec-dev libavformat-dev libswscale-dev
Install onnx-graphsurgeon from NVidia pre-build source files.
pip install https://developer.download.nvidia.com/compute/redist/onnx-graphsurgeon/onnx_graphsurgeon-0.3.27-py2.py3-none-any.whl
Install PyTorch from NVidia pre-built source files.
#For python 3.8
pip install https://developer.download.nvidia.cn/compute/redist/jp/v511/pytorch/torch-2.0.0+nv23.05-cp38-cp38-linux_aarch64.whl
#For python 3.6
pip install https://developer.download.nvidia.cn/compute/redist/jp/v461/pytorch/torch-1.11.0a0+17540c5+nv22.01-cp36-cp36m-linux_aarch64.whl
Once you have done installing PyTorch, install TorchVision with following commands
#For python 3.8
export BUILD_VERSION=0.15.2
git clone --branch v0.15.2 https://github.com/pytorch/vision torchvision
#For python 3.6
export BUILD_VERSION=0.12.0
git clone --branch v0.12.0 https://github.com/pytorch/vision torchvision
When the clonning is over, type:
cd torchvision
python3 setup.py install --user
cd ..
# To install it on system
cd torchvision
sudo python3 setup.py build
sudo pip install .
cd ..
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