cuda nvidia等驱动的安装和卸载

查看cuda 版本

cat /usr/local/cuda/version.txt

查看cudnn 版本

cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

查看显卡驱动版本

cat /proc/driver/nvidia/version
或输入nvidia-smi

cuda安装

• 驱动安装完成后，下载cuda安装包（CUDA Toolkit Archive | NVIDIA Developer）

• sudo ./cuda_8.0.61_375.26_linux.run

• 一直按ctrl+F，直到100%

• 其它的按部就班，但选择不安装驱动

• 出现***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 361.00 is required for CUDA 8.0 functionality to work时，不用管它，此时只要安装的驱动版本更高比它更高即可

• 将cuda添加到环境变量，在~/.bashrc文件中末尾加上 export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

• 在NVIDIA_CUDA-8.0_Samples中编译相关samples，能编译通过则说明安装成功

nvidia驱动安装

sudo apt-get purge nvidia*
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get install nvidia-384 nvidia-settings
reboot

注：如果要是不行，可能需要在bios里将显卡先设置成CPU集卡 验证 1.输入nvidia-smi查看 2.prime-select query查看当前选用的显卡

cuda卸载

cd /usr/local/cuda/bin
sudo ./uninstall_cuda_8.0.pl
cd /usr/local
sudo rm -rf cuda-8.0

cudnn安装

参考：Installation Guide :: NVIDIA Deep Learning cuDNN Documentation

Installing from a Tar File

Navigate to your directory containing the cuDNN Tar file. Unzip the cuDNN package.

$ tar -xzvf cudnn-9.0-linux-x64-v7.tgz

Copy the following files into the CUDA Toolkit directory, and change the file permissions.

$ sudo cp cuda/include/cudnn.h /usr/local/cuda/include $ sudo cp cuda/lib64/libcudnn /usr/local/cuda/lib64* *$ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn**

Installing from a Debian File

Navigate to your directory containing cuDNN Debian file. Install the runtime library, for example:

sudo dpkg -i libcudnn7_7.0.3.11-1+cuda9.0_amd64.deb

Install the developer library, for example:

sudo dpkg -i libcudnn7-devel_7.0.3.11-1+cuda9.0_amd64.deb

Install the code samples and the cuDNN Library User Guide, for example:

sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb