Ubuntu16.04+CUDA8.0+CUDNN installation

 
  environment: 
 

 
  ubuntu 16.04 64bit 
 

 
  Dual Graphics:  
  NVIDIA GEFORCE GTX 850M +   
  Integrated Graphics 
 

 
  Driver:  
  nvidia 384

 
  Software:  
  cuda8.0 + cuDNN5.1

First look at the graphics card:

lspci | grep -i nvidia

 
  Install the dedicated graphics driver: 
 

 
  Install the graphics card driver through the software update function that comes with the system, and pay attention to select the official NVIDIA proprietary driver!

System Settings -> Software Update -> Additional Drivers -> Switch to the latest NVIDIA driver

 
  Nvidia graphics card driver: 
 

 
  restart the computer 
 

 
  Disable the nouveau virtual graphics card: 
 

 
  After installation, you need to disable nouveau, create /etc/modprobe.d/blacklist-nouveau.conf, and write: 
 

 
  blacklist new 
 

 
  option new modeset=0 
 

 
  After that sudo update-initramfs -u 
 

 
  Test whether the disable is successful:

 
  lsmod | grep new

 
  #If there is no output, disable it successfully, if not, restart and try again.

 
  Nvidia CUDA 8.0  
  ：

 
  Download CUDA and CUDNN separately,

 
  https://developer.nvidia.com/cuda-80-ga2-download-archive 
 

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

 
  Shut down the desktop service  
  sudo service lightdm stop.  
  This step is crucial for installing the Nvidia driver 
 

 
  Press Ctrl + Alt + F1 to log in in command line mode, 
 

 
  Enter the directory where you downloaded the cuda file and execute: 
 

 
  sudo sh cuda-8.0.44_linux.run --no-opengl-libs  
  (--no-opengl-libs) 
   is very important, otherwise it will overwrite the integrated display and cannot log in normally 
 

 
  #When installing dual graphics cards, remember to use no-opegl-libs. I don't know if I want to add this. I haven't tried it. 
 

 
  Installation process: (hint) 
 

 
  Accept EULA conditions  
 

 
  Say NO to installing the NVIDIA driver  
 

 
  Say YES to installing CUDA Toolkit + Driver  
 

 
  Say YES to installing CUDA Samples 
 

 
  Successful installation output: 
 

 
  ============ Summary ============Driver:  
  Not 
   SelectedToolkit: Installed  
  in 
   /usr/local/cuda- 
  8.0 
  Samples: Installed  
  in 
   /home/textminerPlease make sure that– PATH includes /usr/local/cuda- 
  8.0 
  /bin– LD_LIBRARY_PATH includes /usr/local/cuda- 
  8.0 
  /lib64,  
  or 
  ,  
  add 
   /usr/local/cuda- 
  8.0 
  /lib64  
  to 
   /etc/ld.so.conf  
  and 
   run ldconfig  
  as 
   root 
  To 
   uninstall the CUDA Toolkit, run the uninstall script  
  in 
   /usr/local/cuda- 
  8.0 
  /binPlease see CUDA_Installation_Guide_Linux.pdf  
  in 
   /usr/local/cuda- 
  8.0 
  /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  
  361.00 
  is required for CUDA 8.0 functionality to work.To install the driver using this installer, run the following command, replacing with the name of this run file:sudo .run -silent -driverLogfile is /opt/temp//cuda_install_6583.log 
    
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
 

 
  Restart desktop services 
 

 
  $  
  sudo 
   service lightdm start 
 

 
  Configuration Environment 
 

 
  Add the following three sentences to sudo 
   vim /etc/profile:

 
  export LD_LIBRARY_PATH 
  =  
  /usr/ 
  local  
  /cuda 
  -  
  8.0 
  /lib64:/usr/ 
  local  
  /cuda 
  -  
  8.0 
  /extras/CUPTI/lib64: 
  $LD_LIBRARY_PATH  
 

 
  export CUDA_HOME 
  =  
  /usr/ 
  local  
  /cuda 
  -  
  8.0 
 

 
  export PATH 
  =  
  /usr/ 
  local  
  /cuda 
  -  
  8.0 
  /bin: 
  $PATH  
 

 
  save and exit,  
   
  source /etc/profile 使能环境变量更改

 
  View environment variables: 
 

 
  echo &PATH

Test if the installation is successful

 
  sudo./cuda-samples-linux-7.0.28-19326674.run 
 

 
  cd/usr/local/cuda-8.0/samples 
 

 
     sudo make 
 

 
  After all the compilation is complete, go to samples/bin/x86_64/linux/release, and run deviceQuery under sudo:   
 

 
  sudo ./deviceQuery 
 

 
3.3 Install cudnn 
 

 
  For the specific number, check the value extracted from the download package. Mine are 5.1.10 and 5.0. Otherwise, there will be a wrong path prompt when loading the tensorflow model at the end.

 
  sudo cp -a include/cudnn.h /usr/local/cuda/include/ # Copy header files 
 

 
  cd ./lib64 
 

 
  sudo cp -a lib* /usr/local/cuda/lib64/ #Copy the dynamic link library cd /usr/local/cuda/lib64/ 
 

 
  sudo rm -rf libcudnn.so libcudnn.so.5 #Delete the original dynamic file 
 

 
  sudo ln -s libcudnn.so.5.1.10 libcudnn.so.5 #Generate soft connection 
 

 
  sudo ln -s libcudnn.so.5 libcudnn.so #Generate soft link 
 

 
  Install Tensorflow: 
 

 
  If you have installed the cpu-only version of TF before, please uninstall it first:

 
  Install tensorflow directly using pip or pip3 
 

 
  Install its dependencies first 
 

 
  $ sudo apt-get install python-pip python-dev   # for Python 2.7 
 

 
  $ sudo apt-get install python3-pip python3-dev # for Python 3.n 
 

 
  sudo pip3 install  
  https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-gpu-1.0.0-cp35-cp35m-linux_x86_64.whl

 
  Or install Tensorflow from source 
 

 
   后续会更新源码安装Tensorlow，因为最新版本的tensorflow已经支持cuda9.0 和 cudnn7.0 因为不知道新环境的稳定性，所以还是使用源码安装适配8.0 和 5.1.10

Ubuntu16.04+CUDA8.0+CUDNN installation

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