Install nVidia graphics card driver and cuda/cudnn in ubuntu 16.04.

Install nVidia graphics card driver and cuda/cudnn in ubuntu 16.04.

Recommended new version installation tutorial

Http://blog.csdn.net/chenhaifeng2016/article/details/78874883

To install the deep learning framework, you must use cuda/cudnn (GPU) to accelerate computing. To install cuda/cudnn, you must first install the nvidia graphics card driver.

During the installation process, I encountered a driver conflict and had to re-install the operating system.

The information on the internet is messy, and many of them are reprinted. Some versions of the operating system are too low. Now I write down the entire process for reference by people who encounter the same problem.

By default, the third-party open-source driver nouveau is installed in ubuntu 16.04. to install the nvidia graphics driver, you must first disable nouveau. Otherwise, the nvidia graphics driver cannot be installed due to a conflict.

Edit the file blacklist. conf

Sudo vim/etc/modprobe. d/blacklist. conf

Insert the following two lines at the end of the file:

Blacklist nouveau

Options nouveau modeset = 0

Update System

Sudo update-initramfs-u

Restart the system (Be sure to restart)

Verify that nouveau is disabled

Lsmod | grep nouveau

No information is displayed, indicating that nouveau has been disabled. Next, you can install the nvidia graphics driver.

Press ctrl + alt + f1 to Enter text mode

Sudo service lightdm stop

Sudo./cuda_8.0.61_375.26_linux.run

Do not install opengl. Otherwise, loop logon may occur even if the installation is successful (at least I have encountered such a situation ).

Do not install the/usr/local/cuda symbolic connection (this step is optional)

Sudo service lightdm start

Finally copy the header file of cudnn to/usr/local/cuda-8.0/include, library file copy to/usr/local/cuda-8.0/lib64

Set the environment variable file. bashrc or profile

Export PATH =/usr/local/The cuda-8.0/bin: $ PATH

Export LD_LIBRARY_PATH =/usr/local/cuda-8.0/lib64: # LD_LIBRARY_PATH

Update Environment Variables

Souce/etc/profile

Installation is complete.

Next, you can install the tensorflow, caffe, and mxnet deep learning frameworks.

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