Ubuntu 14.04 从零开始配置cuda8.0+cudnn5.1+Tensorflow+openCV+caffe+matlab
*************显卡驱动安装（注意，安装Tenflow的时候会将这一步的驱动刷回375.66，所以直接安装375.66就好）
1.Delete the old driver(if have):
$ sudo apt-get purge nvidia*
2.Ban nouveau:
$ sudo gedit /etc/modprobe.d/blacklist-nouveau.conf
add the following content:
blacklist nouveau
options nouveau modeset=0
Update the system:
$ sudo update-initramfs -u
3.Enter text mode:
Ctrl + Alt + F1
4.Shut down GUI:
$ sudo service lightdm stop
5.Run installation file(*.run), the options doesn't mind:
$ sudo sh NVIDIA*
6.Restart GUI:
$ sudo service lightdm start
7.Check if GPU driver is correctly installed:
watch -n 0.5 nvidia-smi
*************安装cuda
cuda files download address:
https://developer.nvidia.com/cuda-80-ga2-download-archive
1. Do not re-install GPU driver
2. First install the following dependencies(not fully necessary, if not meet 5):
$ sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
3. After install mesa(which appears above), the GPU driver need to be instantly re-installed before any reboot.
4. install cuda
$ sudo sh cuda_*
5. if error:/usr/bin/ld:cannot find -lglut
due to lack of freeglut3-dev freeglut3
solution: $ sudo apt-get install freeglut3 freeglut3-dev
6. add PATH:
export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
7. Test if installation is correct:
$ cd Nvidia-*samples
$ make
after "make"
$ cd Samples/bin/x86_84/linux/release/
test if compiled file could run correctly,as example:
$ ./deviceQuery
8. cuda_8.0.61.2_linux is patch, if needed
********************************安装cuDNN5.1
1. unzip cuDNN
2. $ sudo cp cuDNN/cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp cuDNN/cuda/lib64/* /usr/local/cuda/lib64/
3. update soft link
$ cd /usr/local/cuda/lib64/
$ sudo rm -rf libcudnn.so libcudnn.so.5
$ sudo ln -s libcudnn.so.5.0.* libcudnn.so.5
$ sudo ln -s libcudnn.so.5 libcudnn.so
4. use cuDNN sample to verify installation
$ cd /home/jilei/Downloads/cudnn-sample-v5/mnistCUDNN
$ make
5. if error:lcudart.so.8 not found, relink it as step 3 in this part
*******************************安装 tensorflow1.2
1. following the instruction
2. if connot compile in bazel part, change bazel version to 0.52 by
$ sudo apt-get autoremove bazel
and install the binary file with parameter --prefix=/usr
Reference: https://github.com/tensorflow/tensorflow/issues/11859
3. check installation
do not import tensorflow with 'tensorflow' directory
********************************安装 openCV
1. install pre-requisit
$sudo apt-get update
$sudo apt-get upgrade
$sudo apt-get install build-essential
$sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
$sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
2. Download OpenCV
3. make files
$ cmake .
$ sudo make #this step takes a long time, better do anything else
4. if error in 87%: "nppigraphcutstate has not been declared", you need to change the source code:
in graphcuts.cpp
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
modified to
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)
this error is due to the incompabiltiy of cuda8.0
5. install opencv
$ sudo make install
6. set PATH
sudo /bin/bash -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
sudo ldconfig
7. cd opencv/opencv-3.0.0-beta/samples/
sudo cmake .
sudo make -j $(nproc)
8.如果出现奇怪的bug，可能是cmake 的版本不对 cmake 一定要3.2版本才行，2.8不行
********************************安装 caffe
1. pay enough attention to config file and there seems all right
2. follow the mnist instruction to test if installation is correct
********************************安装 matlab R2017
1. mkidr to mount iso
$ mkdir ~/matlabtemp
$ sudo mount -t auto -o loop Matlab_dvd1.iso ~/matlabtemp
$ sudo ~/matlabtemp/./install
2. Do not install matlab server!!!!!
3. wait to mount 2nd iso
$ sudo mount -t auto -o loop Matlab_dvd1.iso ~/matlabtemp
4. umount these iso(twice)
$ sudo umount ~/matlabtemp/
$ sudo umount ~/matlabtemp/
5. follow the crack to activate
6. clear unused dir
$ sudo rm -r ~/matlabtemp
7. if occur opengl error, type the following in matlab command:
$ opengl('save','software')
8. For convenience, remember to change shortcut from Emacs to Windows
9. if matlab cannot read video file(such as .mp4 or .avi):
install gstreamer1.0 as following:
$ sudo apt-add-repository ppa:mc3man/trusty-media
$ sudo apt-get update
$ sudo apt-get install gstreamer1.0
Remember gstreamer1.0 for R2017a
********************************tips
1. ls -il to see link state
********************************双系统公用数据盘时
1.如果Linux无法修改ntfs内文件和文件夹的权限
在/etc/fstab中加入如下句子
UUID=109E7E199E7DF814 /media/jilei/MyFile ntfs-3g defaults,umask=0000,noauto 0 0