ubuntu 18.04

1. 关闭用户图形界面

sudo systemctl set-default multi-user.target
sudo reboot

2. 开启用户图形界面

sudo systemctl set-default graphical.target
sudo reboot

安装驱动

1.sudo apt-get remove --purge nvidia* #卸载原有的nvidia驱动
2.sudo gedit /etc/modprobe.d/blacklist.conf #打开文本
#在打开的最后加上两行：1.blacklist nouveau 2.options nouveau modeset=0
3.sudo update-initramfs -u # 此时可以用lsmod | grep nouveau #查看没有输出即下载成功，如果有可重启再次查看
4.sudo add-apt-repository ppa:graphics-drivers/ppa
5.sudo apt-get update
6.sudo apt-get install nvidia-driver-430 #也可以选择自己需要的版本
7.重启，使用nvidia-smi查询是否安装

GPU支持，cuda10

# Add NVIDIA package repositories
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update

# Install development and runtime libraries (~4GB)
sudo apt-get install --no-install-recommends 
    cuda-10-0 
    libcudnn7=7.6.2.24-1+cuda10.0  
    libcudnn7-dev=7.6.2.24-1+cuda10.0


# Install TensorRT. Requires that libcudnn7 is installed above.
sudo apt-get install -y --no-install-recommends libnvinfer5=5.1.5-1+cuda10.0 
    libnvinfer-dev=5.1.5-1+cuda10.0

搜狗输入法

https://blog.csdn.net/fx_yzjy101/article/details/80243710

opencv

sudo apt install libopencv-dev
pip3 install opencv-python

flash:

进入 http://get.adobe.com/cn/flashplayer/ 即flash官网（注意下载和系统浏览器相对应的包）
在左边选择 .tar.gz格式的文件
然后解压   tar -zxvf install_flash_player_11_linux.x86_64.tar.gz
把 libflashplayer.so文件放到 路径/usr/lib/mozilla/plugins里，之后重启浏览器就可以啦

 jupyter notebook 5.7.4无法连接kernel，需要把tornado从6.0.3降级成5.1.1