debian_11_bullseye_et_cuda
Différences
Ci-dessous, les différences entre deux révisions de la page.
Les deux révisions précédentesRévision précédenteProchaine révision | Révision précédente | ||
debian_11_bullseye_et_cuda [2021/12/15 16:39] – [CuDNN] serge | debian_11_bullseye_et_cuda [2022/06/18 11:58] (Version actuelle) – [Debian 11 Bullseye Mate et CUDA] serge | ||
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Ligne 1: | Ligne 1: | ||
====== Debian 11 Bullseye Mate et CUDA ====== | ====== Debian 11 Bullseye Mate et CUDA ====== | ||
+ | <WRAP center round box 60% centeralign> | ||
+ | **How to install CUDA on Debian 11 Bullseye** | ||
+ | </ | ||
+ | |||
+ | <WRAP center round alert 60%> | ||
+ | !!!!!!!!! Ce tuto ne marche pas !!!!!!!!!!! | ||
+ | </ | ||
===== Installation Préliminaires ===== | ===== Installation Préliminaires ===== | ||
Ligne 22: | Ligne 29: | ||
</ | </ | ||
<code bash> | <code bash> | ||
+ | sudo dpkg --add-architecture i386 | ||
sudo apt update | sudo apt update | ||
sudo apt upgrade | sudo apt upgrade | ||
sudo apt install mate-menu mate-desktop-environment-extras locales ncdu git gnome-system-tools caja-open-terminal software-properties-common mate-tweak synaptic terminator geany geany-plugins git firmware-iwlwifi firmware-linux-nonfree | sudo apt install mate-menu mate-desktop-environment-extras locales ncdu git gnome-system-tools caja-open-terminal software-properties-common mate-tweak synaptic terminator geany geany-plugins git firmware-iwlwifi firmware-linux-nonfree | ||
- | sudo dpkg --add-architecture i386 | ||
- | sudo apt update | ||
- | sudo apt upgrade | ||
</ | </ | ||
- | =====Quel driver possible pour votre carte graphique===== | + | =====Cuda et Driver Nvidia===== |
+ | L' | ||
<code bash> | <code bash> | ||
- | sudo apt -y install nvidia-detect | + | sudo apt install nvidia-cuda-toolkit |
- | nvidia-detect | + | nvcc --version |
</ | </ | ||
- | ===GeForce GTX 850M=== | ||
- | <code bash> | ||
- | Detected NVIDIA GPUs: | ||
- | 01:00.0 3D controller [0302]: NVIDIA Corporation GM107M [GeForce GTX 850M] [10de:1391] (rev a2) | ||
- | Checking card: | + | **Certificat de la bonne installation:** |
- | Your card is supported by all driver versions. | + | |
- | Your card is also supported by the Tesla 460 drivers series. | + | |
- | Your card is also supported by the Tesla 450 drivers series. | + | |
- | Your card is also supported by the Tesla 418 drivers series. | + | |
- | It is recommended to install the | + | |
- | nvidia-driver | + | |
- | package. | + | |
- | </ | + | |
- | + | ||
- | ===GeForce GTX 1060=== | + | |
<code bash> | <code bash> | ||
- | Detected NVIDIA GPUs: | + | nvcc: NVIDIA (R) Cuda compiler driver |
- | 01:00.0 VGA compatible controller [0300]: NVIDIA | + | Copyright (c) 2005-2021 |
- | + | Built on Sun_Feb_14_21: | |
- | Checking card: | + | Cuda compilation tools, release 11.2, V11.2.152 |
- | Your card is only supported up to the 390 legacy drivers series. | + | Build cuda_11.2.r11.2/ |
- | Your card is also supported by the Tesla 440 drivers series. | + | |
- | Your card is also supported by the Tesla 418 drivers series. | + | |
- | It is recommended to install the | + | |
- | nvidia-legacy-390xx-driver | + | |
- | package. | + | |
</ | </ | ||
- | =====Test numéro 11===== | ||
- | * https:// | ||
- | * **[[https:// | ||
- | |||
- | ====Installation du driver NVIDIA avec les dépôts Debian==== | ||
- | <code bash> | ||
- | sudo apt install nvidia-driver | ||
- | sudo systemctl reboot | ||
- | </ | ||
- | |||
- | |||
- | ====Installation du driver NVIDIA avec les paquets officiels nvidia.com==== | ||
- | Récupération du driver dans les archives nvidia.com\\ | ||
- | * https:// | ||
- | Je choisis de télécharger le driver Latest Legacy GPU version (460.xx series) | ||
- | |||
- | <code bash> | ||
- | sudo apt -y install linux-headers-$(uname -r) build-essential libglvnd-dev pkg-config | ||
- | |||
- | sudo nano / | ||
- | # Ajouter | ||
- | blacklist nouveau | ||
- | options nouveau modeset=0 | ||
- | # Save Quit | ||
- | |||
- | sudo update-initramfs -u | ||
- | sudo systemctl set-default multi-user.target | ||
- | sudo systemctl reboot | ||
- | # Se logguer dans le terminal | ||
- | sh NVIDIA-Linux-x86_64-460.91.03.run | ||
- | systemctl set-default graphical.target | ||
- | systemctl reboot | ||
- | </ | ||
- | |||
- | ====Nvidia Settings==== | ||
- | Dans les 2 cas nvidia-settings n'a pas les infos habituelles. | ||
- | {{ : | ||
- | |||
- | ====Cuda==== | ||
- | sudo apt install nvidia-cuda-toolkit nvidia-cuda-dev | ||
- | nvcc --version | ||
- | | ||
====CuDNN==== | ====CuDNN==== | ||
Télécharger CuDNN à [[https:// | Télécharger CuDNN à [[https:// | ||
Pour pouvoir télécharger, | Pour pouvoir télécharger, | ||
+ | Choisir un deb pour Ubuntu 20.04 ! | ||
Exemple: | Exemple: | ||
<code bash> | <code bash> | ||
- | sudo dpkg -i libcudnn8_8.3.0.98-1+cuda11.5_amd64.deb | + | sudo dpkg -i libcudnn8_8.1.1.33-1+cuda11.2_amd64.deb |
- | sudo dpkg -i libcudnn8-dev_8.3.0.98-1+cuda11.5_amd64.deb | + | sudo dpkg -i libcudnn8-dev_8.1.1.33-1+cuda11.2_amd64.deb |
</ | </ | ||
- | =====Ressources===== | + | =====Compilation |
- | * **[[https:// | + | |
- | + | ||
- | =====Recherche===== | + | |
- | ====Cette étape est inutile==== | + | |
- | L' | + | |
- | A confirmer sur une prochaine install propre, et virer ce paragraphe si c'est confimé. | + | |
- | + | ||
- | <code bash> | + | |
- | # Téléchargement dans le home de l' | + | |
- | wget https:// | + | |
- | + | ||
- | sudo apt install linux-headers-$(uname -r) build-essential libglvnd-dev pkg-config -y | + | |
- | sudo nano / | + | |
- | + | ||
- | # Ajouter ça: | + | |
- | blacklist nouveau | + | |
- | options nouveau modeset=0 | + | |
- | # Enregister quitter | + | |
- | + | ||
- | sudo update-initramfs -u | + | |
- | # Pour être en terminal au redémarrage: | + | |
- | sudo systemctl set-default multi-user.target | + | |
- | sudo reboot now | + | |
- | + | ||
- | # Dans la console, se logger | + | |
- | sudo bash NVIDIA-Linux-x86_64-495.29.05.run | + | |
- | + | ||
- | # Quand c'est fini | + | |
- | startx | + | |
- | + | ||
- | # Pour ne plus être en terminal au redémarrage | + | |
- | sudo systemctl set-default graphical.target | + | |
- | sudo reboot now | + | |
- | </ | + | |
- | + | ||
- | + | ||
- | ===Sélection du driver=== | + | |
- | sudo apt install primus | + | |
- | prime-select | + | |
- | + | ||
- | ===CUDA=== | + | |
- | + | ||
- | <code bash> | + | |
- | wget https:// | + | |
- | sudo dpkg -i cuda-repo-debian11-11-5-local_11.5.1-495.29.05-1_amd64.deb | + | |
- | sudo apt-key add / | + | |
- | sudo apt update | + | |
- | sudo apt install cuda | + | |
- | </ | + | |
- | + | ||
- | + | ||
- | ====Tensorflow with GPU==== | + | |
- | + | ||
- | source mon_env/ | + | |
- | python3 -m pip install tensorflow-gpu | + | |
- | + | ||
- | ===CuDNN=== | + | |
- | Télécharger CuDNN à [[https:// | + | |
- | Pour pouvoir télécharger, | + | |
- | + | ||
- | Exemple: | + | |
- | <code bash> | + | |
- | sudo dpkg -i libcudnn8_8.3.0.98-1+cuda11.5_amd64.deb | + | |
- | sudo dpkg -i libcudnn8-dev_8.3.0.98-1+cuda11.5_amd64.deb | + | |
- | </ | + | |
- | =====OpenCV===== | + | |
- | + | ||
- | + | ||
- | wget -O opencv.zip https:// | + | |
- | wget -O opencv_contrib.zip https:// | + | |
{{tag> cuda ia linux opencv sb }} | {{tag> cuda ia linux opencv sb }} |
debian_11_bullseye_et_cuda.1639586378.txt.gz · Dernière modification : 2021/12/15 16:39 de serge