[Ubuntu 16.04]Cuda和Cudnn安装
之前已安装好了Nvidia显卡驱动，这一步安装cuda和cudnn
cuda安装
参考：Ubuntu16.04下安装cuda和cudnn的三种方法（亲测全部有效）
分3步：
- 下载
- 安装
- 设置环境变量
下载
先下载对应cuda版本，官网下载：CUDA Toolkit Archive
我下载的是.run文件
安装
先授予权限
sudo chmod 777 cuda*.run
直接运行即可
sudo ./cuda*.run
首先显示一个应用许可（很长，可以按'q'键退出），然后会提示你输入是否允许
Do you accept the previously read EULA?
accept/decline/quit: accept
输入accept，然后提示你是否安装驱动，因为已经安装了，所以输入no
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 410.48?
(y)es/(n)o/(q)uit: no
最后提示你安装
Install the CUDA 10.0 Toolkit?
(y)es/(n)o/(q)uit: yes
默认安装位置即可
Enter Toolkit Location
[ default is /usr/local/cuda-10.0 ]:
是否安装一个软链接，默认即可
Do you want to install a symbolic link at /usr/local/cuda?
(y)es/(n)o/(q)uit: yes
是否安装实例
Install the CUDA 10.0 Samples?
(y)es/(n)o/(q)uit: yes
可以选择实例位置，默认即可
Enter CUDA Samples Location
[ default is /home/zj ]:
接下来就是安装过程了
Installing the CUDA Toolkit in /usr/local/cuda-10.0 ...
Missing recommended library: libGLU.so
Missing recommended library: libX11.so
Missing recommended library: libXi.so
Missing recommended library: libXmu.so
Missing recommended library: libGL.so
Installing the CUDA Samples in /home/zj ...
Copying samples to /home/zj/NVIDIA_CUDA-10.0_Samples now...
Finished copying samples.
===========
= Summary =
===========
Driver: Not Selected
Toolkit: Installed in /usr/local/cuda-10.0
Samples: Installed in /home/zj, but missing recommended libraries
Please make sure that
- PATH includes /usr/local/cuda-10.0/bin
- LD_LIBRARY_PATH includes /usr/local/cuda-10.0/lib64, or, add /usr/local/cuda-10.0/lib64 to /etc/ld.so.conf and run ldconfig as root
To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-10.0/bin
Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-10.0/doc/pdf for detailed information on setting up CUDA.
***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 384.00 is required for CUDA 10.0 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 /tmp/cuda_install_6910.log
安装失败了，缺少一些库，需要安装相应的库，参考：ubuntu 16.04 安装cuda 8 出现的错误：Missing recommended library: libGLU.so；Missing recommended library: libX
sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
再重新安装
sudo ./cuda_10.0.130_410.48_linux.run -silent -driver
设置环境变量
修改.bashrc文件
sudo gedit ~/.bashrc
添加环境变量
export PATH=$PATH:/usr/local/cuda-10.0/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-10.0/lib64
更新环境变量
source ~/.bashrc
查询版本
zj@zj-ThinkPad-T470p:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130
还可以编译cuda sample来查询版本
cd ~/NVIDIA_CUDA-10.0_Samples/1_Utilities/deviceQuery
make
./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce 940MX"
CUDA Driver Version / Runtime Version 10.0 / 10.0
CUDA Capability Major/Minor version number: 5.0
Total amount of global memory: 2004 MBytes (2101870592 bytes)
( 3) Multiprocessors, (128) CUDA Cores/MP: 384 CUDA Cores
GPU Max Clock rate: 1189 MHz (1.19 GHz)
Memory Clock rate: 2505 Mhz
Memory Bus Width: 64-bit
L2 Cache Size: 1048576 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: No
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 2 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 10.0, NumDevs = 1
Result = PASS
cudnn安装
需要注册一个账户才能下载cudnn
到官网下载对应的包：cuDNN Archive
我的系统是Ubuntu16.04, 符合条件的有
cuDNN Runtime Library for Ubuntu16.04 (Deb)
cuDNN Developer Library for Ubuntu16.04 (Deb)
cuDNN Code Samples and User Guide for Ubuntu16.04 (Deb)
下载完成后安装
sudo dpkg -i libcudnn7*.deb
或者下载通用linux压缩包
cuDNN Library for Linux
然后将文件复制到cuda安装路径下，参考：How can I install CuDNN on Ubuntu 16.04?
验证cudnn
参考：How to install CUDA and cuDNN on Ubuntu 16.04 LTS
查询cudnn安装文件地址
sudo updatedb
locate cudnn
将测试文件复制到home目录下
cp -r /usr/src/cudnn_samples_v7/ $HOME/cudnn_samples_v7/
cd cudnn_samples_v7/mnistCUDNN/
make clean && make
./mnistCUDNN
测试结果
cudnnGetVersion() : 7401 , CUDNN_VERSION from cudnn.h : 7401 (7.4.1)
Host compiler version : GCC 5.4.0
There are 1 CUDA capable devices on your machine :
device 0 : sms 3 Capabilities 5.0, SmClock 1189.0 Mhz, MemSize (Mb) 2004, MemClock 2505.0 Mhz, Ecc=0, boardGroupID=0
Using device 0
...
...
Test passed!
使用第二种复制cudnn文件方法的可以参考：How to verify CuDNN installation?