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### 安装GPU驱动
1、安装必要程序
   apt-get install gcc g++ make

2、执行命令，安装驱动
   ./NVIDIA-Linux-x86_64-384.183.run

3、设置systemd
   systemctl set-default multi-user.target

4、执行命令reboot重启虚拟机

5、执行nvidia-smi，验证驱动

### 安装Cuda
1、执行以下命令修改权限。
   chmod +x cuda_9.0.176_384.81_linux.run

2、安装依赖包
   apt install -y freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
   解决问题： Missing recommended library: libGLU.so
  
   ln -s /usr/lib/libGL.so.1 /usr/lib/libGL.so
   解决问题： Missing recommended library: libGL.so

3、执行以下命令安装CUDA。
   ./cuda_9.0.176_384.81_linux.run -toolkit -samples -silent -override --tmpdir=/tmp/

4、执行以下三条命令验证安装。
   cd /usr/local/cuda/samples/1_Utilities/deviceQueryDrv/
   make
   ./deviceQueryDrv
 
5、设置环境变量（/etc/profile）
   export CUDA_HOME=/usr/local/cuda-9.0
   export PATH=${CUDA_HOME}/bin:$PATH
   export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/extras/CUPTI/lib64:$LD_LIBRARY_PATH
  
   然后加载环境变量：
   source /etc/profile

### 安装CUDNN
# cuda-9.0
tar xf cudnn-9.0-linux-x64-v7.6.5.32.tgz
cp -r cuda/include/cudnn.h /usr/local/cuda-9.0/include/
cp -r cuda/lib64/lib* /usr/local/cuda-9.0/lib64/
cd /usr/local/cuda-9.0/lib64
rm -f libcudnn.so libcudnn.so.7
ln -s libcudnn.so.7.6.5 libcudnn.so.7
ln -s libcudnn.so.7 libcudnn.so

# cuda-10.0
tar xf cudnn-10.0-linux-x64-v7.6.5.32.tgz
cp -r cuda/include/cudnn.h /usr/local/cuda-10.0/include/
cp -r cuda/lib64/lib* /usr/local/cuda-10.0/lib64/
cd /usr/local/cuda-10.0/lib64
rm -f libcudnn.so libcudnn.so.7
ln -s libcudnn.so.7.6.5 libcudnn.so.7
ln -s libcudnn.so.7 libcudnn.so
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## Cuda-10.1
1. Download
wget http://59.36.11.51/driver/cuda/cuda-10.1/cuda_10.1.105_418.39_linux.run
wget http://59.36.11.51/driver/cuda/cuda-10.1/cudnn-10.1-linux-x64-v7.6.5.32.tgz

2. Install cuda
bash cuda_10.1.105_418.39_linux.run
    accept
    x CUDA Installer                                                               x
    x - [X] Driver                                                                 x
    x      [X] 418.39                                                              x
    x + [X] CUDA Toolkit 10.1                                                      x
    x   [ ] CUDA Samples 10.1                                                      x
    x   [ ] CUDA Demo Suite 10.1                                                   x
    x   [ ] CUDA Documentation 10.1                                                x
    x   Install                                                                    x
    x   Options 

3. Install cudnn
tar xf cudnn-10.1-linux-x64-v7.6.5.32.tgz
cp -r cuda/include/cudnn.h /usr/local/cuda-10.1/include/
cp -r cuda/lib64/lib* /usr/local/cuda-10.1/lib64/
ls -l /usr/local/cuda-10.1/lib64/libcudnn*
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# Cuda-9.2
1. Download
wget http://59.36.11.51/driver/cuda/cuda-9.2/cuda_9.2.148_396.37_linux.run
wget http://59.36.11.51/driver/cuda/cuda-9.2/cuda_9.2.148.1_linux.run
wget http://59.36.11.51/driver/cuda/cuda-9.2/cudnn-9.2-linux-x64-v7.6.5.32.tgz

2. Install cuda
bash cuda_9.2.148_396.37_linux.run
    Do you accept the previously read EULA?
    accept/decline/quit: accept
    
    Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 396.37?
    (y)es/(n)o/(q)uit: no
    
    Install the CUDA 9.2 Toolkit?
    (y)es/(n)o/(q)uit: yes
    
    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: yes
    
    Install the CUDA 9.2 Samples?
    (y)es/(n)o/(q)uit: no
    
3. Install cuda-patch
bash cuda_9.2.148.1_linux.run
    Do you accept the previously read EULA?
    accept/decline/quit: accept
    
    Enter CUDA Toolkit installation directory
     [ default is /usr/local/cuda-9.2 ]: 

4. Install cudnn
tar xf cudnn-9.2-linux-x64-v7.6.5.32.tgz
cp -r cuda/include/cudnn.h /usr/local/cuda-9.2/include/
cp -r cuda/lib64/lib* /usr/local/cuda-9.2/lib64/
ls -l /usr/local/cuda-9.2/lib64/libcudnn*
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