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1 cuda驱动
cuda use not open test
自己下载安装
以上操作后可能是核显卡，需要执行下列进入独立显卡，才能进行HDMI链接
sudo prime-select nvidia
sudo prime-select intel
prime-select query
该命令用于查看目前的显卡使用模式，可以看到一般来讲我们刚装完显卡驱动都是这种on-demand模式，即混合模式，此时的显示器接口应该是插在独显上的
export PATH=$PATH:/usr/local/cuda/bin:/usr/local/nvida_ncu:/usr/src/TensorRT/bin/
export LD_LIBRARY_PATH=/usr/src/TensorRT/lib:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export LIBRARY_PATH=/usr/src/TensorRT/lib:usr/local/cuda/lib64:$LIBRARY_PATH
PS1='${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u@\h\[\033[00m\]:\[\033[01;34m\]\w\[\033[00m\]\$ \n $ '
alias bb='vim ~/.bashrc'
alias ss='source ~/.bashrc'2 docker
内网无法安装，使用阿里云
apt -y install ca-certificates curl gnupg lsb-release
curl -fsSL http://mirrors.aliyun.com/docker-ce/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository “deb [arch=amd64] http://mirrors.aliyun.com/docker-ce/linux/ubuntu $(lsb_release -cs) stable”
apt -y install docker-ce docker-ce-cli containerd.io
systemctl start docker
查看docker 状态
systemctl status docker
sudo usermod -aG docker $USER
service docker restart
sudo groupadd docker #添加docker用户组，这个用户组应该是已存在了
sudo gpasswd -a $USER docker #将当前用户加入到docker用户组中
newgrp docker #更新用户组docker
2 nvidia-docker 离线
https://gitee.com/henryzhangjianhe/nvidia_docker_offline_install
sudo dpkg -i libnvidia-container1_1.2.0-1_amd64.deb
sudo dpkg -i libnvidia-container-tools_1.2.0-1_amd64.deb
sudo dpkg -i nvidia-container-toolkit_1.2.1-1_amd64.deb
sudo dpkg -i nvidia-container-runtime_3.3.0-1_amd64.deb
sudo dpkg -i nvidia-docker2_2.4.0-1_all.deb
sudo systemctl restart docker3 teams
4 sogo
https://shurufa.sogou.com/linux/guide
minimize
sudo apt install gnome-tweaks