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Instructions for CUDA v11.8 and cuDNN 8.7 installation on Ubuntu 22.04 for PyTorch 2.0.0
#!/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
@kazmifactor
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kazmifactor commented Feb 7, 2024

I get this error even after trying the fixen given by @filmo and @mkabatek.


inp@inp-Z790-GAMING-X:~$ sudo apt install cuda-11-8
Reading package lists... Done
Building dependency tree       
Reading state information... Done
Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:

The following packages have unmet dependencies:
 cuda-11-8 : Depends: cuda-runtime-11-8 (>= 11.8.0) but it is not going to be installed
             Depends: cuda-demo-suite-11-8 (>= 11.8.86) but it is not going to be installed
E: Unable to correct problems, you have held broken packages.

I have even tried to install 515, 525, 535.

i have installed ubuntu 20.04
can anyone please help. @MihailCosmin @filmo @mkabatek

@joseagraz
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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

@SonOfSkywalker
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Thank you so much, this script is marvelous !

@hawkiyc
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hawkiyc commented Apr 19, 2024

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

@aidv
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aidv commented May 18, 2024

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.

@aidv
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aidv commented May 18, 2024

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!!!!!! 🗣️ ⚠️

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