临时解决版本
进入python后只需下面命令

import os

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

　　

I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 问题的更多相关文章

  1. 2019-09-16 16:42:03.621946: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Traceback (most recent cal

    -- ::] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA ...

  2. I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

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  3. 解决 warning I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

    只需要加载如下代码: import os os.environ['

  4. I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

    遇到了这个问题,意思是你的 CPU 支持AVX AVX2 (可以加速CPU计算),但你安装的 TensorFlow 版本不支持 解决:1. 如果是初学者 或者 没有太大计算速度的需求,在开头加上这两行 ...

  5. W tensorflow/core/platform/cpu_feature_guard.cc:45]

    W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use SSE3 ...

  6. 解决tensorflow的"Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Using TensorFlow backend."警告问题

    问题描述 程序开始运行的时候报出警告:I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructio ...

  7. Tensorflow 运行警告提示 Your CPU supports instructions that this TensorFlow binary was not compiled to use

    由于现在神经网络这个东西比较火,准确的说是深度学习这个东西比较火,我们实验室准备靠这个东西发几个CCF A类的文章,虽然我不太懂这东西,兴趣也一般都是毕竟要跟随主流的,于是今天安装起了 Tensorf ...

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  9. 报错解决——Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2

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