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