#INSTALL CUDNN UBUNTU 18.04 CUDA 9.1 HOW TO#
#INSTALL CUDNN UBUNTU 18.04 CUDA 9.1 INSTALL#
#INSTALL CUDNN UBUNTU 18.04 CUDA 9.1 DRIVERS#

Next, follow these steps to install Linux Ubuntu: I have followed the instructions on this page, and it works for me.įirst, download installer for Linux Ubuntu 16.04 x86_64. (change the version number '8.0' to other version number which match your driver version, and your cudnn version will update automatically to match the new version cuda ) It downloads and installs the CUDA driver, CUDA Toolkits, and CUDA Toolkit updates.

#INSTALL CUDNN UBUNTU 18.04 CUDA 9.1 DRIVERS#

For instance, to install both the X.Y CUDA Toolkit and the X.Y+1 CUDA Toolkit, install the cuda-X.Y and cuda-X.Y+1 packages. Summary: This article installs the drivers and programs that are needed to use NVIDIA GPUs to train models and run batch inferences. Side-by-side installations are supported.

• reinstall cuda : ~$ conda install cudatoolkit=8.0 To avoid any automatic upgrade, and lock down the toolkit installation to the X.Y release, install the cuda-X-Y or cuda-cross--X-Y package.

So reinstall cuda in the virtual environment: Script to reinstall manually nvidia drivers,cuda 9.0 and cudnn 7.1 on Ubuntu 16.04. You may find that the cuda version in virtual environment is different from the local cuda version, and isn't compatible with driver version nvidia-390. ~$ conda list you can see something like these : ~$ cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2Ĭheck cuda version in virtual environment Install Ubuntu 18.04 and partition hard disk Update GPU driver Install CUDA 9.0 Install Cudnn 7.1 Install Miniconda( Virtualenv) Install Tensorflow or Pytorch. ~$ nvcc -version or ~$ cat /usr/local/cuda/version.txt ~$ nvidia-smi or ~$ cat /proc/driver/nvidia/version I solved the issue by following steps in ubuntu 18.04:

#INSTALL CUDNN UBUNTU 18.04 CUDA 9.1 HOW TO#

I finally found the reason that the cuda version in the conda virtual environment is cuda 9.2 which isn't compatible with nvidia-390. Introduction This tutorial will guide you how to install CUDA and cuDNN for tensorflow-gpu using in Ubuntu 18.04, there are some online tutorials which always made some errors when I follow them to do the setup, it may be caused by new Ubuntu OS version and other version conflict, so I prepared a detailed guide to help on this Installing Nvidia CUDA on Ubuntu 14. My driver version is nvidia-390 and I've already install cuda 9.0, so it doesn't make sense that raising that weird issue. I met the same issue when I tried to run tensorflow-gpu under the environment of 'tensorflow_gpuenv' created by conda, and tried to test whether the 'gpu:0' device worked. This issue is caused by 'your cuda-driver version doesn't match your cuda version, and your CUDA local version may also different from the CUDA runtime version(cuda version in some specific virtual environments).' if your driver version is nvidia-390, your cuda version must lower than CUDA 9.1. Just for the record, the first time I updated the drivers using the GUI (Additional Drivers tab in Software & Updates).įirst, check 'CUDA Toolkit and Compatible Driver Versions' from here, and make sure that your cuda toolkit version is compatible with your cuda-driver version， e.g.

Install cudnn ubuntu 18.04 cuda 9.1