badtogo.blogg.se - How to install cuda on ubuntu 16.04

Verify running CUDA GPU jobs by compiling the samples and executing the deviceQuery. $ cd /usr/local/cuda/samples/1_Utilities/deviceQuery $ nvcc -VĬhange directory to CUDA samples. Otherwise, when you are running Tensorflow, you will face with an import error. $ export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH $ export PATH=/usr/local/cuda-8.0/bin:$PATH Insert the lines below inside the bash file. The toolkit default install location is /usr/local/cuda. $ sudo service lightdm start CUDA PathnamesĪppend the relevant Cuda pathnames to the LD_LIBRARY_PATH environment variable. Once it has completed, restart the X server. Now change directory into the location you have downloaded CUDA. Use Ctrl + Alt + F7 to exit from virtual terminal. In Ubuntu, it is Ctrl + Alt + F1, to login, and gain access to the system. Once you stop X server, you’ll see a black screen and you need to get to the virtual terminal.

Install CUDA as mentioned here.Before CUDA can be installed you, there are a few steps you need to do otherwise you will get an error telling you an X server is running and it won’t let you install.

In case you already installed the way mentioned on the site and are seeing a black screen, just go to command line interface using ctrl+alt+F2.

In case driver stops working in future, just run the first command again.

Check if it is installed properly by using:.

cd ~/Downloads/nvidia_installers sudo.

cuda_8.0.xx_n -extract=~/Downloads/nvidia_installers Follow these steps to have a safe CUDA installation: If you proceed like this on Ubuntu 16.04, there is a very good chance you will end up with a black screen when you reboot the system. The site simply says to run the file as sudo to install. You will have to download the drivers from here.

Any deeplearning framework’s GPU version needs you to have CUDA installed prior to it. So, I came across this problem while installing tensorflow GPU version.