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  • tensorflow的警告

     W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.534756: W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.535027: W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_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. 2017-04-19 16:35:22.535245: W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_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. 2017-04-19 16:35:22.535462: W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_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. 2017-04-19 16:35:22.535680: W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_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. 2017-04-19 16:35:22.536664: W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_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. 2017-04-19 16:35:22.536925: W c:	f_jenkinshomeworkspace
    elease-windevicecpuoswindows	ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. b'Hello, TensorFlow!'
    

    解决方法一:

    import os 
    os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
    

    解决方法二:
    系统属性-环境变量
    这种方式一劳永逸,比较好

    这两种方法都是治标不治本

    解决方法三:
    安装bazel,编译tensorflow。
    这个问题的原因是CPU支持更快的运算,可是安装的Tensorflow中缺少对应的模块,需要编译安装。
    而在使用GPU的情况下,并不需要用到CPU。所以这些warning可以忽略。

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  • 原文地址:https://www.cnblogs.com/weiyinfu/p/6933731.html
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