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--- tech:install_drivers_graphique_proprietaire_nvidia_cuda [2025/03/24 15:06] – créée - modification externe 127.0.0.1
+++ tech:install_drivers_graphique_proprietaire_nvidia_cuda [2026/06/29 16:24] (Version actuelle) – Jean-Baptiste
@@ Ligne 1: / Ligne 1: @@
+<!DOCTYPE markdown>
+{{tag>Drivers Matériel Privateur}}
+# Install drivers graphique propriétaire Nvidia CUDA
+**Procédure d'installation de [logicielle privateur](https://www.gnu.org/proprietary/proprietary.fr.html)**
+Voir :
+* https://wiki.debian.org/fr/NvidiaGraphicsDrivers
+* http://developer.download.nvidia.com/compute/cuda/6_5/rel/docs/CUDA_Getting_Started_Linux.pdf
+* [Intel for display, NVIDIA for computing](https://gist.github.com/wangruohui/bc7b9f424e3d5deb0c0b8bba990b1bc5)
+Voir aussi :
+* [Easy TensorFlow](https://www.easy-tensorflow.com)
+* [NVIDIA CUDA® Deep Neural Network library (cuDNN)](https://developer.nvidia.com/cudnn)
+* [GPU Boost](https://devblogs.nvidia.com/parallelforall/increase-performance-gpu-boost-k80-autoboost/)
+Pour CUDA voir OpenCL
+## glxinfo
+~~~bash
+glxinfo
+~~~
+Les lignes intéressantes du glxinfo sont:
+direct rendering: Yes
+OpenGL vendor string: nouveau
+## Install Drivers + CUDA8 sur Debian Jessie (Debian 8)
+Install des dépendances
+~~~bash
+apt-get update
+apt-get install build-essential binutils g++ mpich2 libxmu-dev libxi-dev linux-headers-$(uname -r)
+~~~
+Install de Cuda
+~~~bash
+cp *.run /root/
+cd /root/
+./cuda_8.0.44_linux.run
+~~~
+~~~bash
+export PATH=$PATH:/usr/local/cuda/bin/
+echo "export PATH=$PATH:/usr/local/cuda/bin" >> ~/.bashrc
+#export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH
+echo "/usr/local/cuda/lib64" > /etc/ld.so.conf.d/cuda.conf
+ldconfig
+~~~
+Redémarrage, car le drivers Libre est encore chargé
+~~~bash
+lsmod | grep nouveau
+reboot
+~~~
+Le driver Libre **nouveau** n'est plus chargé
+~~~bash
+lsmod | grep nouveau
+~~~
+Grâce à `/etc/modprobe.d/nvidia-installer-disable-nouveau.conf`
+`/etc/modprobe.d/nvidia-installer-disable-nouveau.conf`
+~~~
+# generated by nvidia-installer
+blacklist nouveau
+options nouveau modeset=0
+~~~
+~~~bash
+sudo update-initramfs -u
+~~~
+Install des derniers drivers
+~~~bash
+systemctl stop gdm
+./NVIDIA-Linux-x86_64-375.20.run
+~~~
+On redémarre
+~~~bash
+reboot
+~~~
+## Install de Cuda Docker
+l faut désinstaller tous les paquets Debian cuda et nvidia :
+~~~bash
+#apt-get purge $(dpkg -l | egrep 'cuda|nvidia' | grep ^ii | awk '{print $2}')
+apt purge 'nvidia-*'
+~~~
+Install de CUDA
+~~~bash
+./cuda_9.2.88_396.26_linux.run
+./cuda_9.2.88.1_linux.run # Patch nvidia
+~~~
+~~~bash
+echo 'export PATH=$PATH:/usr/local/cuda/bin' | sudo tee /etc/profile.d/cuda.sh
+echo "/usr/local/cuda/lib64" | sudo tee /etc/ld.so.conf.d/cuda.conf
+sudo ldconfig
+~~~
+`/etc/apt/sources.list.d/nvidia-docker.list`
+~~~
+deb https://nvidia.github.io/libnvidia-container/debian9/$(ARCH) /
+deb https://nvidia.github.io/nvidia-container-runtime/debian9/$(ARCH) /
+deb https://nvidia.github.io/nvidia-docker/debian9/$(ARCH) /
+~~~
+Installer nvidia-docker2
+~~~bash
+sudo apt-get update
+sudo apt-get install nvidia-docker2
+~~~
+~~~bash
+nvidia-docker run -it -p 8888:8888 tensorflow/tensorflow:latest-gpu
+~~~
+## Vérif
+On vérif que le driver en chargé
+~~~bash
+lsmod | grep nvidia
+~~~
+~~~bash
+nvidia-smi && echo OK
+nvidia-smi topo -m
+nvcc --version
+~~~
+~~~bash
+sudo apt-get install clinfo
+clinfo
+~~~
+~~~bash
+sudo apt-get install pyrit
+pyrit list_cores
+~~~
+~~~bash
+cat /proc/driver/nvidia/version
+~~~
+~~~
+NVRM version: NVIDIA UNIX x86_64 Kernel Module  375.20  Tue Nov 15 16:49:10 PST 2016
+GCC version:  gcc version 4.9.2 (Debian 4.9.2-10)
+~~~
+En root
+~~~bash
+cd /usr/local/cuda/samples/1_Utilities/deviceQuery
+make
+./deviceQuery
+~~~
+~~~bash
+cd /usr/local/cuda/samples/1_Utilities/bandwidthTest
+make
+/usr/local/cuda/samples/bin/x86_64/linux/release/bandwidthTest
+~~~
+## cudnn
+### Install
+Voir :
+* https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
+* https://www.easy-tensorflow.com/tf-tutorials/install/cuda-cudnn
+Unzip the cuDNN package.
+~~~bash
+tar -xzvf cudnn-10.2-linux-x64-v7.6.5.32.tgz
+~~~
+Copy the following files into the CUDA Toolkit directory, and change the file permissions.
+~~~bash
+sudo cp cuda/include/cudnn.h /usr/local/cuda/include
+sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
+sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
+~~~
+Needed ?
+~~~bash
+sudo apt-get install libcupti-dev
+~~~
+ou
+~~~bash
+# the runtime library
+sudo dpkg -i libcudnn7_7.0.5.15–1+cuda9.0_amd64.deb
+# the developer library
+sudo dpkg -i libcudnn7-dev_7.0.5.15–1+cuda9.0_amd64.deb
+# the code samples
+sudo dpkg -i libcudnn7-doc_7.0.5.15–1+cuda9.0_amd64.deb
+~~~
+#### Autres
+`~/.bashrc`
+~~~bash
+# put the following line in the end or your .bashrc file
+export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/extras/CUPTI/lib64"
+~~~
+~~~bash
+sudo ldconfig
+~~~
+### Test
+Voir : http://www.robot.t.u-tokyo.ac.jp/~miyagusuku/deeplearning,/install/2018/10/01/dlbox_install.html
+~~~bash
+cp -r /usr/src/cudnn_samples_v7/ ~
+cd ~/cudnn_samples_v7/mnistCUDNN
+make clean && make
+./mnistCUDNN
+~~~
+## Autres
+~~~bash
+cd /usr/local/cuda/samples/5_Simulations/nbody
+make
+GLPATH=/usr/lib make
+GLPATH=/usr/lib/x86_64-linux-gnu make
+./nbody -benchmark -numbodies=256000 -device=0
+apt-get install gcc g++ gcc-4.8 g++-4.8 gcc-4.9 g++-4.9 libxi6 libxi-dev libglu1-mesa libglu1-mesa-dev libxmu6 linux-headers-amd64 linux-source freeglut3-dev
+~~~
+Voir https://andrewbolster.info/2016/04/fixcuda-on-debian-jessie