Ubuntu 18.04LTS cuda cudnn 安装

ゞ浴缸里的玫瑰 2022-04-23 01:04 259阅读 0赞

# install other import packages
    sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev
    
    # CUDA 9 requires gcc 6
    sudo apt install gcc-6
    sudo apt install g++-6
    
    # downoad one of the "runfile (local)" installation packages from cuda toolkit archive 
    wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run
    
    # make the download file executable
    chmod +x cuda_9.0.176_384.81_linux-run 
    sudo ./cuda_9.0.176_384.81_linux-run --override
    
    # Answer questions following while installation begin
    # You are attempting to install on an unsupported configuration. Do you wish to continue? y
    # Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? n
    # Install the CUDA 9.0 Toolkit? y
    
    # set up symlinks for gcc/g++
    sudo ln -s /usr/bin/gcc-6 /usr/local/cuda/bin/gcc
    sudo ln -s /usr/bin/g++-6 /usr/local/cuda/bin/g++
    
    # setup your paths
    echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' >> ~/.bash.rc
    source ~/.bashrc
    
    # install cuDNN v7.1
    # in order to download cuDNN you have to regeistered here https://developer.nvidia.com/developer-program/signup
    # then download cuDNN v7.1 form https://developer.nvidia.com/cudnn
    CUDNN_TAR_FILE="cudnn-9.0-linux-x64-v7.1"
    wget http://developer.download.nvidia.com/compute/redist/cudnn/v7.1/${CUDNN_TAR_FILE}
    tar -xzvf ${CUDNN_TAR_FILE}
    
    #copy the following files into the cuda toolkit directory.
    sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
    sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
    sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*

检查cuda是否安装成功  
1.检查路径 ~/dev 下 有无存在名为 nvidia\* （以nvidia开头）的多个文件(device files)  
若无，安装错误，见解决篇。  
2.检查 CUDA Toolkit是否安装成功  
终端输入 ：

nvcc -V

会输出CUDA的版本信息（V要大写）  
3.编译samples例子  
进入到Samples安装目录，然后在该目录下终端输入make，等待十来分钟。  
4.编译完成后测试  
可以在Samples里面找到bin/x86\_64/linux/release/目录，并切换到该目录  
运行deviceQuery程序，sudo ./deviceQuery  
查看输出结果，重点关注最后一行，Pass表示通过测试  
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