Instructions for CUDA v11.8 and cuDNN 8.7 installation on Ubuntu 22.04 for PyTorch 2.0.0

cuda_11.8_installation_on_Ubuntu_22.04

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

# system update
sudo apt update && sudo apt upgrade -y

# install other import packages
sudo apt 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

# find recommended driver versions for you
ubuntu-drivers devices

# install nvidia driver with dependencies
sudo apt install libnvidia-common-515 libnvidia-gl-515 nvidia-driver-515 -y

# reboot
sudo reboot now

# verify that the following command works
nvidia-smi

sudo 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/ /"

# Update and upgrade
sudo apt update && sudo apt upgrade -y

 # installing CUDA-11.8
sudo apt install cuda-11-8 -y

# setup your paths
echo 'export PATH=/usr/local/cuda-11.8/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc
sudo ldconfig

# install cuDNN v11.8
# First register here: https://developer.nvidia.com/developer-program/signup

CUDNN_TAR_FILE="cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz"
sudo wget https://developer.download.nvidia.com/compute/redist/cudnn/v8.7.0/local_installers/11.8/cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz
sudo tar -xvf ${CUDNN_TAR_FILE}
sudo mv cudnn-linux-x86_64-8.7.0.84_cuda11-archive cuda

# copy the following files into the cuda toolkit directory.
sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.8/include
sudo cp -P cuda/lib/libcudnn* /usr/local/cuda-11.8/lib64/
sudo chmod a+r /usr/local/cuda-11.8/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 --index-url https://download.pytorch.org/whl/cu118

Thank you so much, this script is marvelous !

Gosh, you saved my day. I finally solved my computing env. Thank you very much.

I ran into the same error very early on. Try my recipe at the link below on a fresh Ubuntu copy. The recipe was tested on different PC, but using the same GPU. Good luck! https://github.com/Kidney-Science/install_RTXA4000_Driver_CUDA_cudNN_Ubuntu_22

Your link doesn't work. It takes me to a 404 page.

I've been STRUGGLING with my QEMU KVM VM's that seemingly out of nowhere refused to see my GPU's.

After a few days of fiddling around I eventually figured out a solution.

1. Turn off Secure Boot in the VM bios
2. Purge all nvidia related stuff
3. Install version 520 of the graphics driver
4. Install CUDA 11.8

I created a script to make my life easier:

IMPORTANT!
⚠️ 🗣️ TURN OFF SECURE BOOT IN YOUR VM!!! 🗣️ ⚠️

Script:

#!/bin/bash

#install graphics driver 520 specifically
sudo apt purge nvidia* -y
sudo apt autoremove -y && sudo apt autoclean -y
sudo apt update && sudo apt upgrade -y
sudo apt install g++ freeglut3-dev build-essential libx11-dev libxmu dev libxi-dev libglu1-mesa libglu1-mesa-dev
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
sudo apt install libnvidia-common-520 libnvidia-gl-520 nvidia-driver-520 -y

#install cuda 11.8
sudo 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 wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda-repo-ubuntu2204-11-8-local_11.8.0-520.61.05-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2204-11-8-local_11.8.0-520.61.05-1_amd64.deb
sudo cp /var/cuda-repo-ubuntu2204-11-8-local/cuda-*-keyring.gpg /usr/share/keyrings/
sudo apt-get update
sudo apt-get -y install cuda
rm cuda-ubuntu2204.pin
rm cuda-repo-ubuntu2204-11-8-local_11.8.0-520.61.05-1_amd64.deb

echo "Install completed! Run: 'sudo reboot now' and then after reboot run 'nvidia-smi' and 'nvtop' to confirm that the GPU is recognized."

1. Copy and paste the above into a file called `tryfixgpu.sh
2. Then run sudo chmod +x tryfixgpu.sh
3. Then run the script sudo ./tryfixgpu.sh

⚠️ 🗣️ AND REMEMBER TO TURN OFF SECURE BOOT!!!!!! 🗣️ ⚠️
⚠️ 🗣️ AND REMEMBER TO TURN OFF SECURE BOOT!!!!!! 🗣️ ⚠️
⚠️ 🗣️ AND REMEMBER TO TURN OFF SECURE BOOT!!!!!! 🗣️ ⚠️
⚠️ 🗣️ AND REMEMBER TO TURN OFF SECURE BOOT!!!!!! 🗣️ ⚠️
⚠️ 🗣️ AND REMEMBER TO TURN OFF SECURE BOOT!!!!!! 🗣️ ⚠️

Install version 520 of the graphics driver

you sh installing 535

The following NEW packages will be installed:
dctrl-tools dkms libnvidia-cfg1-535 libnvidia-common-520 libnvidia-common-535 libnvidia-decode-535
libnvidia-encode-535 libnvidia-extra-535 libnvidia-fbc1-535 libnvidia-gl-520 libnvidia-gl-535
nvidia-compute-utils-535 nvidia-dkms-535 nvidia-driver-520 nvidia-driver-535 nvidia-firmware-535-535.183.01
nvidia-kernel-common-535 nvidia-kernel-source-535 nvidia-prime nvidia-settings nvidia-utils-535 pkg-config
python3-xkit screen-resolution-extra xserver-xorg-video-nvidia-535

you sh installing 535

Weird. For me it’s installing 520