https://blog.csdn.net/Wenyuanbo/article/details/126381967
Uname -r
Mainline download: https://kernel.ubuntu.com/mainline/
sudo dpkg -i *.deb
Set terminal proxy https://github.com/nityanandagohain/proxy_configuration
wget http://google.com
https://askubuntu.com/questions/831266/find-proxy-server-using-command-line
env | grep -i proxy
Sudo install git
If only run on CPU, no need to install cuda CUDA driver: nvidia-smi CUDA toolkit
curl -fsSL https://get.docker.com -o get-docker.sh
sh get-docker.sh
ping hub.docker.com
nslookup hub.docker.com
Sudo docker run hello-world
sudo tee /etc/docker/daemon.json <<-'EOF' { "registry-mirrors":[ "https://i1el1i0w.mirror.aliyuncs.com", "https://hub-mirror.c.163.com", "https://registry.aliyuncs.com", "https://registry.docker-cn.com", "https://docker.mirrors.ustc.edu.cn" ] } EOF
Docker image ls/ docker container ls
Docker ls -a
https://blog.csdn.net/weixin_40964777/article/details/126308001
https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/?C=M&O=A
Pip3 uninstall openvino
Pip3 install openvino=2024.02 –proxy=http://127.0.0.1:7890
lspci | grep -i npu
lsmod | grep -i npu
https://github.com/intel/linux-npu-driver/releases/tag/v1.5.1
sudo apt install cmake
pip3 install intel-npu-acceleration-library
pip3 install torch==2.3.0 torchvision==0.18.0 --index-url https://download.pytorch.org/whl/cpu
Pytorch 2.30 install pyg
pip3 install torch_geometric
# Optional dependencies:
pip3 install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.3.0+cpu.html
Pip3 install ogb