- The Linux system I'm working on is Ubuntu 22.04.2 LTS. To install a nvidia driver version of 515 and cuda 11.7, I followed this instruction.
- However, it alwasy gave me message as follows after installation.
nvidia-smi| NVIDIA-SMI 535.54.03 Driver Version: 535.54.03 CUDA Version: 12.2 | - Command nvcc -V could show the correct version of cuda 11.7
nvcc -V nvcc -V shows the correct version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Jun__8_16:49:14_PDT_2022 Cuda compilation tools, release 11.7, V11.7.99 Build cuda_11.7.r11.7/compiler.31442593_0 - However, pytorch (with cuda 11.7) can't detect the GPU with a return of False for this command torch.cuda.is_available()
- After working on this a little bit, I finally identified the problem. It was this command in the instruction that replaced nvidia driver 515 with 535 for no reason.
sudo apt install cuda-11-7 (base) software$ sudo apt install cuda-11-7 Reading package lists... Done Building dependency tree... Done Reading state information... Done The following package was automatically installed and is no longer required: libnvidia-common-515 Use 'sudo apt autoremove' to remove it. The following additional packages will be installed: cuda-demo-suite-11-7 cuda-drivers cuda-drivers-535 cuda-runtime-11-7 cuda-toolkit-11-7 libnvidia-cfg1-535 libnvidia-common-535 libnvidia-compute-535 libnvidia-decode-535 libnvidia-encode-535 libnvidia-extra-535 libnvidia-fbc1-535 libnvidia-gl-535 nvidia-compute-utils-535 nvidia-dkms-535 nvidia-driver-535 nvidia-kernel-common-535 nvidia-kernel-source-535 nvidia-modprobe nvidia-utils-535 xserver-xorg-video-nvidia-535 Recommended packages: libnvidia-compute-535:i386 libnvidia-decode-535:i386 libnvidia-encode-535:i386 libnvidia-fbc1-535:i386 libnvidia-gl-535:i386 The following packages will be REMOVED: libnvidia-cfg1-515 libnvidia-compute-515 libnvidia-decode-515 libnvidia-encode-515 libnvidia-extra-515 libnvidia-fbc1-515 libnvidia-gl-515 nvidia-compute-utils-515 nvidia-dkms-515 nvidia-driver-515 nvidia-kernel-common-515 nvidia-kernel-source-515 nvidia-utils-515 xserver-xorg-video-nvidia-515 The following NEW packages will be installed: cuda-11-7 cuda-demo-suite-11-7 cuda-drivers cuda-drivers-535 cuda-runtime-11-7 libnvidia-cfg1-535 libnvidia-common-535 libnvidia-compute-535 libnvidia-decode-535 libnvidia-encode-535 libnvidia-extra-535 libnvidia-fbc1-535 libnvidia-gl-535 nvidia-compute-utils-535 nvidia-dkms-535 nvidia-driver-535 nvidia-kernel-common-535 nvidia-kernel-source-535 nvidia-modprobe nvidia-utils-535 xserver-xorg-video-nvidia-535
A workaround is to follow this instruction before sudo apt install cuda-11-7.
* #!/bin/bash
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
The following steps are to download necessary packages from https://developer.download.nvidia.com/compute/cuda/repos/$distro/$arch and install them one by one. Here my $distro/$arch is ubuntu2204/x86_64.
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-toolkit-11-7_11.7.0-1_amd64.deb
sudo dpkg -i cuda-toolkit-11-7_11.7.0-1_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-nvml-dev-11-7_11.7.91-1_amd64.deb
sudo dpkg -i cuda-nvml-dev-11-7_11.7.91-1_amd64.deb
sudo dpkg -i cuda-toolkit-11-7_11.7.0-1_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-documentation-11-7_11.7.91-1_amd64.deb
sudo dpkg -i cuda-documentation-11-7_11.7.91-1_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-tools-11-7_11.7.1-1_amd64.deb
sudo dpkg -i cuda-tools-11-7_11.7.1-1_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/gds-tools-11-7_1.3.1.18-1_amd64.deb
sudo dpkg -i gds-tools-11-7_1.3.1.18-1_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-visual-tools-11-7_11.7.1-1_amd64.deb
sudo dpkg -i cuda-visual-tools-11-7_11.7.1-1_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-nvvp-11-7_11.7.101-1_amd64.deb
sudo dpkg -i cuda-nvvp-11-7_11.7.101-1_amd64.deb
sudo add-apt-repository ppa:openjdk-r/ppa
sudo apt-get update
sudo apt-get install openjdk-8-jre
sudo dpkg -i cuda-nvvp-11-7_11.7.101-1_amd64.deb
sudo dpkg -i cuda-tools-11-7_11.7.1-1_amd64.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-toolkit-11-7_11.7.0-1_amd64.deb
sudo reboot
- The tip is to follow the error message and download whatever is missing from https://developer.download.nvidia.com/compute/cuda/repos/$distro/$arch and install it.
- After all those steps, I finally got the right nvidia driver and cuda on Ubuntu:
(base) software$ nvidia-smi +-----------------------------------------------------------------------------+ | NVIDIA-SMI 515.105.01 Driver Version: 515.105.01 CUDA Version: 11.7 | - pytorch can find the GPUs and other software which uses GPU also worked.