ubuntu16.04-cuda10.2-cudnn7.6.4 安装

本文详细介绍了在 Ubuntu 16.04 系统上禁用 nouveau 驱动,安装 NVIDIA 显卡驱动,以及 CUDA 10.2 和 cuDNN 的全过程。同时,提供了修改软件源,安装 Anaconda3,以及解决安装过程中可能遇到的问题的方法。

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机器:

ip: 192.168.130.66 我的个人主机
/home/syh/tools/cuda

cuda_10.2.89_440.33.01_linux.run
cudnn-10.2-linux-x64-v7.6.5.32.tgz

1.禁用nouveau

sudo vim /etc/modprobe.d/blacklist.conf

blacklist nouveau

sudo update-initramfs -u

reboot

lsmod | grep nouveau

2.停止可视化桌面

sudo telinit 3

3.安装驱动

sudo chmod a+x NVIDIA-Linux-x86_64-440.44.run
sudo sh ./NVIDIA-Linux-x86_64-440.44.run --no-opengl-files

显卡驱动安装完成。

其实在cuda里面也自带显卡驱动,不需要单独安装.

更新安装源

cp -i /etc/apt/sources.list /etc/apt/sources.list_backup
vim /etc/apt/sources.list
# deb cdrom:[Ubuntu 16.04 LTS _Xenial Xerus_ - Release amd64 (20160420.1)]/ xenial main restricted
deb-src http://archive.ubuntu.com/ubuntu xenial main restricted #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial main restricted
deb-src http://mirrors.aliyun.com/ubuntu/ xenial main restricted multiverse universe #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted
deb-src http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted multiverse universe #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial universe
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates universe
deb http://mirrors.aliyun.com/ubuntu/ xenial multiverse
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates multiverse
deb http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse #Added by software-properties
deb http://archive.canonical.com/ubuntu xenial partner
deb-src http://archive.canonical.com/ubuntu xenial partner
deb http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted
deb-src http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted multiverse universe #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial-security universe
deb http://mirrors.aliyun.com/ubuntu/ xenial-security multiverse
apt-get update

如果报错

echo 'nameserver 8.8.8.8' >> /etc/resolv.conf
echo 'nameserver 223.5.5.5' >> /etc/resolv.conf
echo 'nameserver 223.6.6.6' >> /etc/resolv.conf

安装其他软件

apt-get install build-essential gcc g++ make binutils linux-headers-`uname -r` -y

安装 cuda *.run

https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=runfilelocal

wget http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run
sudo sh cuda_10.2.89_440.33.01_linux.run

卸载

cd /usr/local/cuda-10.2/bin
./cuda-uninstall

安装 cuda *.deb

停止图形化界面

sudo service lightdm stop
sudo dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64.deb
sudo apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda

补充一些库

sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev

安装 cudnn

https://developer.nvidia.com/rdp/cudnn-download

tar -xvf cudnn-10.2-linux-x64-v7.6.5.32.tgz -C ./
sudo cp cuda/include/cudnn.h /usr/local/cuda-10.2/include
sudo cp cuda/lib64/libcudnn* /usr/local/cuda-10.2/lib64
sudo chmod a+r /usr/local/cuda-10.2/include/cudnn.h 
sudo chmod a+r /usr/local/cuda-10.2/lib64/libcudnn*
cat /usr/local/cuda-10.2/include/cudnn.h | grep CUDNN_MAJOR -A 2

测试

cd /usr/local/cuda-10.2/samples/1_Utilities/
cd deviceQuery
sudo make
./deviceQuery

Anaconda3

wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-5.3.1-Linux-x86_64.sh
bash Anaconda3-5.3.1-Linux-x86_64.sh -b -p /usr/local/anaconda

anaconda 最好安装在自己home下

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