Table des matières
Install drivers graphique propriétaire Nvidia CUDA
glxinfo
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
apt-get update apt-get install build-essential binutils g++ mpich2 libxmu-dev libxi-dev linux-headers-$(uname -r)
Install de Cuda
cp *.run /root/ cd /root/ ./cuda_8.0.44_linux.run
export PATH=$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
lsmod |grep nouveau reboot
Le driver Libre nouveau n'est plus chargé
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
sudo update-initramfs -u
Install des derniers drivers
systemctl stop gdm ./NVIDIA-Linux-x86_64-375.20.run
On redémarre
reboot
Install de Cuda Docker
l faut désinstaller tous les paquets Debian cuda et nvidia :
#apt-get purge $(dpkg -l |egrep 'cuda|nvidia' |grep ^ii |awk '{print $2}') apt purge 'nvidia-*'
Install de CUDA
./cuda_9.2.88_396.26_linux.run ./cuda_9.2.88.1_linux.run # Patch nvidia
echo 'export PATH=$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/$(ARCH) /
Installer nvidia-docker2
sudo apt-get update sudo apt-get install nvidia-docker2
nvidia-docker run -it -p 8888:8888 tensorflow/tensorflow:latest-gpu
Vérif
On vérif que le driver en chargé
lsmod |grep nvidia
nvidia-smi && echo OK nvidia-smi topo -m nvcc --version
sudo apt-get install clinfo clinfo
sudo apt-get install pyrit pyrit list_cores
cat /proc/driver/nvidia/version
NVRM version: NVIDIA UNIX x86_64 Kernel Module 375.20 Tue Nov 15 16:49:10 PST 2016 GCC version: gcc version 4.9.2 (Debian 4.9.2-10)
En root
cd /usr/local/cuda/samples/1_Utilities/deviceQuery make ./deviceQuery
cd /usr/local/cuda/samples/1_Utilities/bandwidthTest make /usr/local/cuda/samples/bin/x86_64/linux/release/bandwidthTest
cudnn
Install
Voir :
Unzip the cuDNN package.
tar -xzvf cudnn-10.2-linux-x64-v7.6.5.32.tgz
Copy the following files into the CUDA Toolkit directory, and change the file permissions.
sudo cp cuda/include/cudnn.h /usr/local/cuda/include sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64 sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
Needed ?
sudo apt-get install libcupti-dev
ou
# the runtime library sudo dpkg -i libcudnn7_7.0.5.15–1+cuda9.0_amd64.deb # the developer library sudo dpkg -i libcudnn7-dev_7.0.5.15–1+cuda9.0_amd64.deb # the code samples sudo dpkg -i libcudnn7-doc_7.0.5.15–1+cuda9.0_amd64.deb
Autres
~/.bashrc
# put the following line in the end or your .bashrc file export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/extras/CUPTI/lib64"
sudo ldconfig
Test
Voir : http://www.robot.t.u-tokyo.ac.jp/~miyagusuku/deeplearning,/install/2018/10/01/dlbox_install.html
cp -r /usr/src/cudnn_samples_v7/ ~ cd ~/cudnn_samples_v7/mnistCUDNN make clean && make ./mnistCUDNN
Autres
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