CUDA 활용 환경 구성

ubuntu14.04 ubuntu16.04 ubuntu18.04
CUDA 8.0 9.0 10.0 

$ release="ubuntu"$(lsb_release -sr | sed -e "s/\.//g")
$ echo $release

$ sudo apt install sudo gnupg
$ sudo apt-key adv --fetch-keys "http://developer.download.nvidia.com/compute/cuda/repos/"$release"/x86_64/7fa2af80.pub"
$ sudo sh -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/'$release'/x86_64 /" > /etc/apt/sources.list.d/nvidia-cuda.list'
$ sudo sh -c 'echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/'$release'/x86_64 /" > /etc/apt/sources.list.d/nvidia-machine-learning.list'
$ sudo apt update

$ sudo apt-get install cuda-9-0
  1. nvidia-smi상단의 드라이버 버젼 확인
  2. 지원하는 cuda 버젼 확인 및 설치 : sudo apt-get install cuda-10-0
  3. cuDNN 설치 : sudo apt-get install libcudnn7-dev
  4. 버젼 확인 : cat /usr/local/cuda/version.txt

1. Nvidia 드라이버 설치 [Download]

1.1 그래픽 카드 확인

# ubunutu 18.04
$ ubuntu-drivers devices #apt-get install ubuntu-drivers-common

# ubunut 16.04
$ lspci | grep -i nvidia #apt-get install pciutils
$ lshw -numeric -C display
$ lspci -vnn | grep VGA

1.2 nouveau 해제

오픈소스 드라이버입니다. 이것이 NVIDIA 드라이버의 커널 모듈과 충돌 

# Disable nouveau
$ lsmod | grep nouveau
$ sudo vi /etc/modprobe.d/blacklist-nouveau.conf
"""
blacklist nouveau
blacklist lbm-nouveau
options nouveau modeset=0
alias nouveau off
alias lbm-nouveau off
"""

$ echo options nouveau modeset=0 | sudo tee -a /etc/modprobe.d/nouveau-kms.conf
$ sudo update-initramfs -u
$ reboot

#$sudo apt-get --purge remove xserver-xorg-video-nouveau

1.3 Nvidia 드라이버 설치

#ubuntu 18.04
sudo ubuntu-drivers autoinstall

#ubunutu 16.04
sudo apt purge nvidia-* 
#apt-get install software-properties-common
sudo add-apt-repository ppa:graphics-drivers/ppa #ppa:xorg-edgers/ppa 
sudo apt update
sudo apt install nvidia-driver-390 #nvidia-current #ubuntu-drivers devices로 확인된 값
sudo apt install nvidia-settings
#modprobe nvidia

1.3 드라이버 설치 확인 :

$ nvidia-smi  
$ cat /proc/driver/nvidia/version

BIOS의 SecureBoot OFF필요

2. CUDA 설치

  • 버젼 확인: nvcc --version #export PATH=/usr/local/cuda-10.0/bin/:$PATH
  • 실행 확인 : cd ~/NVIDIA_CUDA-10.0_Samples/1_Utilities/bandwidthTest && make && ./badhwidthTest
  • 삭제 : apt-get purge cuda or /usr/local/cuda/uninstall.xx.sh

2.1 일반적 방법

sudo apt install nvidia-cuda-toolkit

2.2 Ubuntu 18.04 - CUDA 9

sudo apt update && sudo apt install nvidia-cuda-toolkit gcc-6 g++-6  #18.04
nvcc --version
reboot

2.3 Ubuntu 16.04 LTS or 16.10 - CUDA 8 with latest driver:

apt-get install curl wget

#!/bin/bash
echo "Checking for CUDA and installing."
# Check for CUDA and try to install.
if ! dpkg-query -W cuda; then
  # The 16.04 installer works with 16.10.
  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
  dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
  apt-get update
  apt-get install cuda -y
fi

or

## Network 버젼 
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb

## Local 버젼 
wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64-deb` 1.9G

sudo dpkg -i cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
sudo apt-get update
#sudo apt-get install cuda
echo "export PATH=/usr/local/cuda/bin/:\$PATH; export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:\$LD_LIBRARY_PATH; " >>~/.bashrc && source ~/.bashrc


export PATH="/usr/local/cuda/bin:$PATH"  
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"
export CUDA_HOME=/usr/local/cuda
source ~/.bashrc

2.4 Ubuntu 14.04 LTS - CUDA 8 with latest driver:

#!/bin/bash
echo "Checking for CUDA and installing."
# Check for CUDA and try to install.
if ! dpkg-query -W cuda; then
  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_8.0.61-1_amd64.deb
  dpkg -i ./cuda-repo-ubuntu1404_8.0.61-1_amd64.deb
  apt-get update
  apt-get install cuda -y
  apt-get install linux-headers-$(uname -r) -y
fi

or 

## Network 버젼
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_8.0.61-1_amd64.deb

sudo dpkg -i cuda-repo-ubuntu1404_8.0.61-1_amd64.deb
sudo apt-get update
sudo apt-get install cuda
echo "export PATH=/usr/local/cuda/bin/:\$PATH; export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:\$LD_LIBRARY_PATH; " >>~/.bashrc && source ~/.bashrc

3. cuDNN 설치

확인 : cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

3.1 소스코드 설치 cuDNN v6.0 Library for Linux

#copy the following files into the cuda toolkit directory.
sudo cp -P cuda/include/cudnn.h /usr/local/cuda/include
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64/
sudo chmod a+r /usr/local/cuda/lib64/libcudnn*

wget http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/cudnn-8.0-linux-x64-v6.0.tgz
tar cvzpf cudnn-8.0-linux-x64-v5.1.tgz ./

sudo cp -P cuda/include/*.h /usr/local/cuda/include
sudo cp cuda/lib64/*.so* /usr/local/cuda/lib64  
#OR cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
sudo apt-get install libcupti-dev

에러 : "/sbin/ldconfig.real: /usr/lib/nvidia-375/libEGL.so.1 is not a symbolic link"

sudo mv /usr/lib/nvidia-375/libEGL.so.1 /usr/lib/nvidia-375/libEGL.so.1.org
sudo mv /usr/lib32/nvidia-375/libEGL.so.1 /usr/lib32/nvidia-375/libEGL.so.1.org
sudo ln -s /usr/lib/nvidia-375/libEGL.so.375.39 /usr/lib/nvidia-375/libEGL.so.1
sudo ln -s /usr/lib32/nvidia-375/libEGL.so.375.39 /usr/lib32/nvidia-375/libEGL.so.1

3.2 삭제

해당 볼더 제거

0.1 For Ubuntu 14.04

CUDA_REPO_PKG=http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_8.0.61-1_amd64.deb
ML_REPO_PKG=http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64/nvidia-machine-learning-repo-ubuntu1404_4.0-2_amd64.deb

0.2 For Ubuntu 16.04

CUDA_REPO_PKG=http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
ML_REPO_PKG=http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb

0.3 Install repo packages

wget "$CUDA_REPO_PKG" -O /tmp/cuda-repo.deb && sudo dpkg -i /tmp/cuda-repo.deb && rm -f /tmp/cuda-repo.deb
wget "$ML_REPO_PKG" -O /tmp/ml-repo.deb && sudo dpkg -i /tmp/ml-repo.deb && rm -f /tmp/ml-repo.deb

에러

libGL error: failed to load driver: swrast : ubuntu 16 + Nvidia에서 발생, ubuntu 18은 해결 https://askubuntu.com/questions/834254/steam-libgl-error-no-matching-fbconfigs-or-visuals-found-libgl-error-failed-t

results matching ""

    No results matching ""