cuda9.1.sh-20180505-yuan

Please uncomment each line of the script for single step run to make sure no error.

#!/bin/bash

# add variables
i1=0
if [ "$1" ]; then
    i1=$1
fi

# add functions
function prompt()
{
    read -p "$1 [YES/NO]: " input
}

# script name
function myecho0script()
{
    echo
    echo '==========================================================='
    echo "$1"
    echo '==========================================================='
    echo
}

# task title
function myecho1task()
{
    echo
    if [ "$1" ]; then
        # 藍(lán)底白字
        echo -e "\033[44;37m --> $i1. $1\033[0m"
    fi
    i1=$[$i1+1]
}

# things title
function myecho2thing()
{
    echo
    # 紅色字
    #echo -e "\033[31m - $1 \033[0m"
    # 綠色字
    echo -e "\033[32m - $1 \033[0m"
    # 紅底白字
    #echo -e "\033[41;37m- $1\033[0m"
}

# steps title
function myecho3step()
{
    echo
    echo -e " * $1"
}

# reference title
function myecho4ref()
{
    #echo
    echo -e "\t$1"
}

# highlight title
function myechoy()
{
    echo
    # 黃底黑字
    echo -e "\033[43;30m$1\033[0m"
    #echo -e "\t\t$1"
}

# call outside script
function mysource()
{
    (source $1 $i1)
    i1=$[$i1+1]
}


# new chapter
myecho1task 'CUDA'


#-----------------------------------------------------------------
myecho2thing 'install Nvidia driver'


myecho3step 'remove old Nvidia driver'
    #sudo apt-get purge nvidia*

myecho3step 'blacklist nouveau'
    #cd /etc/modprobe.d/
    #sudo sh -c "echo 'blacklist nouveau' >> blacklist-nouveau.conf"
    #sudo sh -c "echo 'options nouveau modset=0' >> blacklist-nouveau.conf"
    #cd -
    #sudo update-initramfs -u
    #lsmod | grep nouveau

myecho3step 'init 3 and installation'
    #read -p 'Please enter console with ctrl+alt+F1, and then run this script again [YES/NO] '
    #sudo service lightdm stop
#   sudo init 3
    #cd /home/xy2/tools/GPU/
    #sudo ./NVIDIA-Linux-x86_64-390.48.run -no-x-check -no-nouveau-check -no-opengl-files
    #cd -
    #sudo service lightdm start

#   lspci | grep -i nvidia
#   sudo dpkg --list | grep nvidia-*
    nvidia-smi


myecho2thing 'install CUDA'

myecho3step 'CUDA and patches'

    # CUDA 8.0
    #prompt '[Download...] https://developer.nvidia.com/cuda-80-ga2-download-archive'
    # CUDA 9.1
    #prompt '[Download...] https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal'

    cd tools/
    # CUDA base
        #sudo dpkg -i cuda-repo-ubuntu1604-9-1-local_9.1.85-1_amd64.deb
        #sudo apt-key add /var/cuda-repo-9-1-local/7fa2af80.pub
        #sudo apt-get update
        #sudo apt-get install cuda
    # CUDA patch 1
        #sudo dpkg -i cuda-repo-ubuntu1604-9-1-local-cublas-performance-update-1_1.0-1_amd64.deb
    # CUDA patch 2
        #sudo dpkg -i cuda-repo-ubuntu1604-9-1-local-compiler-update-1_1.0-1_amd64.deb
    # CUDA patch 3
        #sudo dpkg -i cuda-repo-ubuntu1604-9-1-local-cublas-performance-update-3_1.0-1_amd64.deb
    # CUDA env setup
    cd -


myecho2thing 'configurate CUDA'
myecho4ref 'https://developer.download.nvidia.com/compute/cuda/9.1/Prod/docs/sidebar/CUDA_Installation_Guide_Linux.pdf'
    # ~/.bashrc
    # way 1.
    #echo 'export CUDA_HOME=/usr/local/cuda' | tee -a ~/.bashrc
    #echo 'export PATH=$PATH:$CUDA_HOME/bin' | tee -a ~/.bashrc
    #echo 'export LD_LIBRARY_PATH=$CUDA_HOME/lib64' | tee -a ~/.bashrc

    # way 2.
envfile=~/.bashrc
    #echo 'export PATH=/usr/local/cuda-9.1/bin${PATH:+:${PATH}}' | tee -a $envfile
    #echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' | tee -a $envfile

    #source ~/.bashrc

    # /etc/profile
    #echo 'export PATH=/usr/local/cuda/bin:$PATH' | sudo tee -a /etc/profile
    #echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64' | sudo tee -a /etc/profile

myecho4ref 'https://www.2cto.com/kf/201612/578337.html'
    echo 'CUDA driver version'
    cat /proc/driver/nvidia/version 
    echo
    echo 'nvcc'
    nvcc -V 
    echo

myecho4ref 'verify CUDA installation'
    cd /usr/local/cuda/samples/1_Utilities/deviceQuery #由自己電腦目錄決定
    sudo make clean
    sudo make
    sudo ./deviceQuery
    cd -

myecho2thing 'CUDA cuDNN (nvcc)'
myecho4ref 'https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html'
    cd tools/
# way 1
    #cp cudnn-9.1-linux-x64-v7.1.solitairetheme8 cudnn-9.1-linux-x64-v7.1.tgz
    #tar -xvf cudnn-9.1-linux-x64-v7.1.tgz
    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
    echo 'libcudnn'
    echo '/usr/local/cuda/lib64/libcudnn'
    #/usr/local/cuda/lib64/libcudnn*
# way 2
#   sudo dpkg -i libcudnn7_7.1.3.16-1+cuda9.1_amd64.deb
#   sudo dpkg -i libcudnn7-dev_7.1.3.16-1+cuda9.1_amd64.deb
#   sudo dpkg -i libcudnn7-doc_7.1.3.16-1+cuda9.1_amd64.deb
    cd -


    sudo ln -s /usr/local/cuda/lib64/libcudart.so.9.1.85 /usr/local/cuda/lib64/libcudart.so.7.5


echo
#echo '==========================================================='
echo 'End'