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Instructions for CUDA v11.8 and cuDNN 8.7 installation on Ubuntu 22.04 for PyTorch 2.0.0
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#!/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 ${CUDNN_TAR_FILE} | |
sudo mv cudnn-linux-x86_64-8.7.0.84_cuda11-archive cuda | |
# copy the following files into the cuda toolkit directory. | |
sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.8/include | |
sudo cp -P cuda/lib/libcudnn* /usr/local/cuda-11.8/lib64/ | |
sudo chmod a+r /usr/local/cuda-11.8/lib64/libcudnn* | |
# Finally, to verify the installation, check | |
nvidia-smi | |
nvcc -V | |
# install Pytorch (an open source machine learning framework) | |
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 |
I get this error even after trying the fixen given by @filmo and @mkabatek.
inp@inp-Z790-GAMING-X:~$ 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
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
Thank you so much, this script is marvelous !
Gosh, you saved my day. I finally solved my computing env. Thank you very much.
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Thank you! After lots of days, it works! Instead of 515, I put 525.