apt install nvidia-jetpack
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDA_HOME=/usr/local/cuda
sudo cp /usr/include/cudnn*.h /usr/local/cuda/include
sudo cp /usr/lib/aarch64-linux-gnu/libcudnn* /usr/local/cuda/lib64
python -c "import torch; import torchvision; print('PyTorch version:', torch.__version__); print('CUDA available:', torch.cuda.is_available()); print('CUDA version:', torch.version.cuda); print('cuDNN enabled:', torch.backends.cudnn.enabled); print('cuDNN version:', torch.backends.cudnn.version()); print('Torchvision version:', torchvision.__version__)"
sudo ln -s /usr/lib/<系统python版本>/dist-packages/tensorrt* /home/<conda路径>/envs/AnomalyDetect/lib/python3.10/site-packages/
# 例如
sudo ln -s /usr/lib/python3.10/dist-packages/tensorrt* /home/jetson/.conda/envs/AnomalyDetect/lib/python3.10/site-packages/
pip install onnx onnxslim
# 直接装是装不上的
# 去https://elinux.org/Jetson_Zoo#ONNX_Runtime进行下载,下1.17版本