ubuntu16.04安装TensorFlow，并测试TensorFlow的运行

最新推荐文章于 2021-06-29 08:44:48 发布

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最新推荐文章于 2021-06-29 08:44:48 发布 · 2.7w 阅读

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一、安装python3.5

参考连接：Tensorflow Ubuntu16.04上安装及CPU运行tensorboard、CNN、RNN图文教程

注：本文采取链接博文的python3.5安装过程，以及程序测试内容。但是安装TensorFlow的过程不采取。若直接采取“sudo pip3 install tensorflow”的方式，运行深度学习程序时会报如下warnings。这些warings的意思是说：你的机器上有这些指令集可以用，并且用了他们会加快你的CPU运行速度，但是你的TensorFlow在编译的时候并没有用到这些指令集。采用的pip install指令安装TensorFlow就会存在这种问题。主要有两种解决方法，一种是修改警告信息的显示级别，使这种信息不再出现，另外一种就是自己重新编译安装TensorFlow，在编译的时候使用这些指令集。相比较来说，第二种解决方式更稳妥。

W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.  
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.  
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.  
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.  
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.  
W tensorflow/core/platform/cpu_feature_guard.cc:4