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  • 关于TensorFlow多种安装方式

        Tensorflow的官网其实给出了很详细的安装教程,细分包括:

    Pip install: Install TensorFlow on your machine, possibly upgrading previously installed Python packages. May impact existing Python programs on your machine.
    Virtualenv install: Install TensorFlow in its own directory, not impacting any existing Python programs on your machine.
    Anaconda install: Install TensorFlow in its own environment for those running the Anaconda Python distribution. Does not impact existing Python programs on your machine.
    Docker install: Run TensorFlow in a Docker container isolated from all other programs on your machine.
    Installing from sources: Install TensorFlow by building a pip wheel that you then install using pip.

        备注:
        1)并且针对Windows/Ubuntu/MacOS的环境设置进行的说明。
        2)根据个人情况选择安装cpu版本和gpu版本,二者的区别不大,主要区别在选择的编译包不同、gpu版本需要安装好cuda和cudnn。
       
        虽然官方教程列的条目很多,但是其实综合来说就只有两大类安装方法:
    • 一是直接利用官方或第三方编译好的release版本进行安装;eg:Pip install, Anaconda installation
    • 二是利用官方的源代码编译生成包后安装。
     
     
     
     
     
     
    转载作者:mac在路上
    链接:https://www.jianshu.com/p/4b0992253626

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  • 原文地址:https://www.cnblogs.com/chamie/p/8619893.html
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