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  • [Installation] Deep Learning Workbench Installation Notes

    CUDA 8.0

    nVidia显卡驱动

    更新一下

    $ sudo apt-get update
    $ sudo apt-get upgrade

    添加显卡驱动的PPA

    $ sudo add-apt-repository ppa:graphics-drivers/ppa

    然后显示信息

    在这里回车确认

    下面就可以开始安装显卡驱动了,下载速度有点慢。

    $ sudo apt-get update
    $ sudo apt-get install nvidia-375

    驱动安装完成一定要重启系统

    测试 

    使用nvidia-smi检查显卡状况。

    • Download from the official website:
      • Select Linux > x86_64 > Uuntu > 14.4 > deb(local), then download the according package (about 1.9 GB).
    • Installation Instructions:
      • Simply use my automation script in my github.
      • Answer some questions as follows

        • Do you accept the previously read EULA? : accept
        • Install NVIDIA Accelerated Graphics Driver for ~~ : n
        • Install the CUDA 7.5 Toolkit? : y
        • Enter Toolkit Location : (blank)
        • Do you want to install a symbolic link at ~~ : y
        • Install the CUDA 7.5 Samples? : y
        • Enter CUDA Samples Location : (blank)

    cuDNN 6

    • One needs to register with an email to download.
    • $ sudo tar -xvf cudnn-8.0-linux-x64-v6.0-rc.tgz -C /usr/local

    tensorflow

    • Install Anaconda
    • Under a virtual envrionment, use pip install
      • $ pip install tensorflow
        
        or when you have GPU
        
        $ pip install tensorflow-gpu
        

          

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  • 原文地址:https://www.cnblogs.com/casperwin/p/6049684.html
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