KylinOS V10安装CUDA和CUDNN

查看系统版本：

cat /etc/os-release 
NAME="Kylin Linux Advanced Server"
VERSION="V10 (Lance)"
ID="kylin"
VERSION_ID="V10"
PRETTY_NAME="Kylin Linux Advanced Server V10 (Lance)"
ANSI_COLOR="0;31"

nvidia-smi查看支持的CUDA版本：

[root@localhost opt]# nvidia-smi 
Sun Apr  7 11:00:01 2024       
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.104.05             Driver Version: 535.104.05   CUDA Version: 12.2     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  NVIDIA A40                     On  | 00000000:03:00.0 Off |                    0 |
|  0%   28C    P8              13W / 300W |     18MiB / 46068MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
                                                                                         
+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|    0   N/A  N/A      1668      G   /usr/libexec/Xorg                             4MiB |
+---------------------------------------------------------------------------------------+
[root@localhost opt]# 

显示CUDA Version: 12.2

下载CUDA

https://developer.nvidia.com/cuda-12-0-0-download-archive

确保磁盘剩余空间足够，如出现如下错误：

Extraction failed.
Ensure there is enough space in /tmp and that the installation package is not corrupt
Signal caught, cleaning up

可使用–tmpdir指定缓存目录

sudo sh cuda_12.0.0_525.60.13_linux.run --tmpdir=/opt/cuda

输入accept回车

已经安装好可驱动选择取消Driver的安装然后点击Install

安装完成

===========
= Summary =
===========

Driver:   Not Selected
Toolkit:  Installed in /usr/local/cuda-12.0/

Please make sure that
 -   PATH includes /usr/local/cuda-12.0/bin
 -   LD_LIBRARY_PATH includes /usr/local/cuda-12.0/lib64, or, add /usr/local/cuda-12.0/lib64 to /etc/ld.so.conf and run ldconfig as root

To uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-12.0/bin
***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 525.00 is required for CUDA 12.0 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:
    sudo <CudaInstaller>.run --silent --driver

Logfile is /var/log/cuda-installer.log

添加环境变量

vim ~/.bashrc

添加

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export PATH=$PATH:/usr/local/cuda/bin
export CUDA_HOME=$CUDA_HOME:/usr/local/cuda

查看cuda版本：

source ~/.bashrc

[root@localhost opt]# nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Mon_Oct_24_19:12:58_PDT_2022
Cuda compilation tools, release 12.0, V12.0.76
Build cuda_12.0.r12.0/compiler.31968024_0
[root@localhost opt]# 

安装CUDNN

下载地址：https://developer.nvidia.com/rdp/cudnn-archive

根据实际情况下载合适的版本（需要提前创建登录NVIDIA账号）

解压：

tar -xvf cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz

复制移动部分文件

cd cudnn-linux-x86_64-8.9.7.29_cuda12-archive/
cp include/cudnn.h /usr/local/cuda/include/
cp lib/libcudnn* /usr/local/cuda/lib64/
chmod a+r /usr/local/cuda/include/cudnn.h
chmod a+r /usr/local/cuda/lib64/libcudnn*

#注意:cudnn8.0以上会将版本信息更新到cudnn_version.h文件中,也需要将这个文件复制,否则验证的时候会没有反应
cp include/cudnn_version.h /usr/local/cuda/include/
#验证：
cat /usr/local/cuda/include/cudnn_version.h | grep CUDNN_MAJOR -A 2
#define CUDNN_MAJOR 8
#define CUDNN_MINOR 9
#define CUDNN_PATCHLEVEL 7
--
#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)

/* cannot use constexpr here since this is a C-only file */
[root@localhost cudnn-linux-x86_64-8.9.7.29_cuda12-archive]# 

如果出现以上现象就说明安装成功。