參考 https://www.pugetsystems.com/labs/hpc/How-to-install-CUDA-9-2
-on-Ubuntu-18-04-1184/

1. 下載Ubuntu18.04 desktop, 制作USB啟動，安裝

2. 在Software & Updates"中檢查 nvidia驅(qū)動，必須是396版
   如果驅(qū)動的版本號不對：
   apt purge nvidia*
   add-apt-repository ppa:graphics-drivers/ppa
   sudo apt install nvidia-kernel-source-396
   sudo apt install nvidia-driver-396
   重啟電腦

3. sudo apt-get install freeglut3 freeglut3-dev libxi-dev libxmu-dev
   4.下載17.10的CUDA "run" file installer 然后安裝

   sudo sh cuda_9.2.88_396.26_linux.run
   

   You are attempting to install on an unsupported configuration. Do you wish to continue?
   (y)es/(n)o [ default is no ]: y

   Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 396.26?
    (y)es/(n)o/(q)uit: n      ！?。。。。。。?！重要?。。。。?！
   
    Install the CUDA 9.2 Toolkit?
   (y)es/(n)o/(q)uit: y
   
    Enter Toolkit Location
   [ default is /usr/local/cuda-9.2 ]:
   

   Do you want to install a symbolic link at /usr/local/cuda?
   (y)es/(n)o/(q)uit: y

   Install the CUDA 9.2 Samples?
   (y)es/(n)o/(q)uit: y

   Enter CUDA Samples Location
   [ default is /home/kinghorn ]: /usr/local/cuda-9.2

4. Install the cuBLAS patch
   wget https://developer.nvidia.com/compute/cuda/9.2/Prod/patches/1/cuda_9.2.88.1_linux
   sudo chmod +x cuda_9.2.88.1_linux.run
   sudo ./cuda_9.2.88.1_linux.run --silent --accept-eula

5. Setup your environment variables
   To configure the CUDA environment for all users (and applications) on your system create the file (use sudo and a text editor of your choice)
   /etc/profile.d/cuda.sh
   with the following content,
   export PATH=$PATH:/usr/local/cuda/bin
   export CUDADIR=/usr/local/cuda

   Also create the file, /etc/ld.so.conf.d/cuda.conf

   and add the line, /usr/local/cuda/lib64

   Then run: sudo ldconfig

7 重啟電腦

8. Test CUDA by building the "samples"
   編譯和運行測試代碼
9. 安裝和運行pytorch, gpu 運行
   import torch
   torch.cuda.current_device()
   In [3]: torch.cuda.device(0)

In [4]: torch.cuda.device_count()

In [5]: torch.cuda.get_device_name(0)