caffe安裝（1）ubuntu16.04+顯卡驅(qū)動(dòng)+cuda8.0

2019-11-14 11:15:41

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0. 安裝Ubuntu16.04系統(tǒng)

F2進(jìn)入BIOS, 設(shè)置U盤啟動(dòng)（原來(lái)已裝了ubuntu的要取消快速啟動(dòng)) 按照提示安裝ubuntu16.04想，選擇英文版本，中午版本的路徑一看就暈

安裝完會(huì)發(fā)現(xiàn)分辨率不對(duì)，而且改不了，然而安裝完顯卡驅(qū)動(dòng)就好啦，所以先不管

1.安裝顯卡驅(qū)動(dòng)

上nividia官網(wǎng)下載相應(yīng)版本下載后右擊，修改屬性為可執(zhí)行文件

sudo service lightdm stop sudo ./NVIDIA-linux-x86_64-375.20.run 按照提示安裝 sudo service lightdm restart

安裝完看顯卡是否安裝成功，可以看到nvidia-settings為安裝成功

nvidia-settings

查看nividia顯卡信息: nvidia-smi

Sat Feb 4 14:11:46 2017 +-----------------------------------------------------------------------------+| NVIDIA-SMI 367.48 Driver Version: 367.48 ||-------------------------------+----------------------+----------------------+| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC || Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. ||===============================+======================+======================|| 0 TITAN X (Pascal) Off | 0000:02:00.0 On | N/A || 23% 24C P8 13W / 250W | 191MiB / 12186MiB | 2% Default |+-------------------------------+----------------------+----------------------++-----------------------------------------------------------------------------+| PRocesses: GPU Memory || GPU PID Type Process name Usage ||=============================================================================|| 0 4578 G /usr/lib/xorg/Xorg 148MiB || 0 5329 G compiz 41MiB |+-----------------------------------------------------------------------------+

2. 安裝CUDA

2.1 下載：(https://developer.nvidia.com/cuda-downloads) 選擇對(duì)應(yīng)的版本這里寫圖片描述 2.2 修改為可執(zhí)行文件

sudo chmod +x cuda_8.0.44_linux.run

2.3 安裝依賴庫(kù)，這些是安裝cuda-sample需要的

sudo apt-get install freeglut3-dev sudo apt-get install build-essential sudo apt-get installlibx11-dev sudo apt-get install libxmu-dev sudo apt-get install libxi-dev sudo apt-get installlibglu1-mesa-dev

2.4 執(zhí)行

sudo ./cuda_8.0.44_linux.run一開(kāi)始是說(shuō)明，ctrl+c跳過(guò)那些文字，accept接受要求Do you accept the previously read EULA?accept/decline/quit: acceptInstall NVIDIA Accelerated Graphics Driver for Linux-x86_64 367.48?(y)es/(n)o/(q)uit: nInstall the CUDA 8.0 Toolkit?(y)es/(n)o/(q)uit: yEnter Toolkit Location [ default is /usr/local/cuda-8.0 ]: Do you want to install a symbolic link at /usr/local/cuda?(y)es/(n)o/(q)uit: yInstall the CUDA 8.0 Samples?(y)es/(n)o/(q)uit: y Enter CUDA Samples Location [ default is /home/kinny ]:

一定要注意提示安不安裝 NVIDIA Accelerated Graphics Driver for Linux-x86_64 367.48? 要選擇不，我因?yàn)檫@個(gè)版本可能跟你自己的不一樣，安裝了重啟后會(huì)進(jìn)不去桌面

2.5 添加PATH路徑,lib路徑

sudo gedit /etc/profile添加export PATH=/usr/local/cuda-8.0/bin:$PATHexport LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH

保存，執(zhí)行source /etc/profile

2.6 驗(yàn)證安裝成功 sudo reboot

cd ~/NVIDIA_CUDA-8.0_Samples makecd ~/NVIDIA_CUDA-8.0_Samples/bin/x86_64/linux/release./deviceQuery

顯示 Result = PASS

3. 安裝CuDNN

官網(wǎng)下載CuDNN，需要郵箱注冊(cè)，填寫信息

sudo cp cuda/include/cudnn.h /usr/local/cuda/includesudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

參考：Ubuntu 16.04安裝配置TensorFlow GPU版本

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