Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Save primus852/b6bac167509e6f352efb8a462dcf1854 to your computer and use it in GitHub Desktop.
Save primus852/b6bac167509e6f352efb8a462dcf1854 to your computer and use it in GitHub Desktop.
Instructions for CUDA v11.7 and cuDNN 8.5 installation on Ubuntu 22.04 for PyTorch 1.12.1
#!/bin/bash
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###
### to verify your gpu is cuda enable check
lspci | grep -i nvidia
### If you have previous installation remove it first.
sudo apt-get purge nvidia*
sudo apt remove nvidia-*
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt-get autoremove && sudo apt-get autoclean
sudo rm -rf /usr/local/cuda*
# system update
sudo apt-get update
sudo apt-get upgrade
# install other import packages
sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev
# first get the PPA repository driver
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
# install nvidia driver with dependencies
sudo apt install libnvidia-common-515
sudo apt install libnvidia-gl-515
sudo apt install nvidia-driver-515
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin
sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /"
sudo apt-get update
# installing CUDA-11.7
sudo apt install cuda-11-7
# setup your paths
echo 'export PATH=/usr/local/cuda-11.7/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.7/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc
sudo ldconfig
# install cuDNN v11.7
# First register here: https://developer.nvidia.com/developer-program/signup
CUDNN_TAR_FILE="cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz"
wget https://developer.nvidia.com/compute/cudnn/secure/8.5.0/local_installers/11.7/cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
tar -xzvf ${CUDNN_TAR_FILE}
# copy the following files into the cuda toolkit directory.
sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.7/include
sudo cp -P cuda/lib/libcudnn* /usr/local/cuda-11.7/lib64/
sudo chmod a+r /usr/local/cuda-11.7/lib64/libcudnn*
# Finally, to verify the installation, check
nvidia-smi
nvcc -V
# install Pytorch (an open source machine learning framework)
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117
@bdzyubak-aiq
Copy link

@primus852 @fatbringer @ichxw @qburst-fidha Did you guys get this figured out?

@bdzyubak-aiq
Copy link

bdzyubak-aiq commented Jan 8, 2024

Although the above suggestions did not work for me, I found that the runfile installation from the nvidia website, rather than the apt-get installation does work. Maybe this helps someone else!

sudo apt-get purge nvidia*
sudo apt remove nvidia-*
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt-get autoremove && sudo apt-get autoclean
sudo rm -rf /usr/local/cuda*

Reboot

image

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment