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Instructions for CUDA v11.8 and cuDNN 8.9.7 installation on Ubuntu 22.04 for PyTorch 2.1.2
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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-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-470 | |
sudo apt install libnvidia-gl-470 | |
sudo apt install nvidia-driver-470 | |
# installing CUDA-11.8 | |
wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.0-1_all.deb | |
sudo dpkg -i cuda-keyring_1.0-1_all.deb | |
sudo apt-get update | |
sudo apt-get -y install cuda | |
# 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 v8.9.7 | |
# First register here: https://developer.nvidia.com/developer-program/signup | |
CUDNN_TAR_FILE="cudnn-linux-x86_64-8.9.7.29_cuda11-archive.tar.xz" | |
wget https://developer.nvidia.com/downloads/compute/cudnn/secure/8.9.7/local_installers/11.x/cudnn-linux-x86_64-8.9.7.29_cuda11-archive.tar.xz | |
tar -xvf ${CUDNN_TAR_FILE} | |
# copy the following files into the cuda toolkit directory. | |
sudo cp cudnn-*-archive/include/cudnn*.h /usr/local/cuda/include | |
$ sudo cp -P cudnn-*-archive/lib/libcudnn* /usr/local/cuda/lib64 | |
$ sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn* | |
# Finally, to verify the installation, check | |
nvidia-smi | |
nvcc -V | |
# install Pytorch (an open source machine learning framework) | |
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 |
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with this command :
$ sudo cp cudnn--archive/include/cudnn.h /usr/local/cuda/include
message error :
cp: cannot stat 'cudnn--archive/include/cudnn.h': No such file or directory
the same with the other commands :
$ sudo cp cudnn--archive/include/cudnn.h /usr/local/cuda/include
====> cp: cannot stat 'cudnn--archive/include/cudnn.h': No such file or directory
$sudo cp cudnn--archive/include/cudnn.h /usr/local/cuda/include
====> cp: cannot stat 'cudnn--archive/include/cudnn.h': No such file or directory