原因：

import os  #在顶头位置加上

os.environ["TF_CPP_MIN_LOG_LEVEL"]='1' # ‘1’表示默认的显示等级，运行时显示所有信息

os.environ["TF_CPP_MIN_LOG_LEVEL"]='2' # ‘2’运行时只显示 warning 和 Error

os.environ["TF_CPP_MIN_LOG_LEVEL"]='3' # ‘3’运行时只显示 Error

解决：头部加上：import os

然后在程序开头部分加上：os.environ["TF_CPP_MIN_LOG_LEVEL"]='2'

效果：

import os

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

这样在执行Python的TensorFlow框架文件时就不会出现：Your CPU supports instructions that this TensorFlow binary was not compiled to use: AV

运行TensorFlow出现Your CPU supports instructions that this TensorFlow binary was not compiled to use: AV的更多相关文章

  1. 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 ...

  2. 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 ...

  3. 如何解决tensorflow报:Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

    答:使能AVX,AVX2和FMA来进行源码编译,这样可以提速噢 具体编译方法,请参考windows10下如何进行源码编译安装tensorflow

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

    pycharm运行TensorFlow警告:Your CPU supports instructions that this TensorFlow binary was not compiled to ...

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

    在导入tensorflow后,进行运算时,出现了报错Your CPU supports instructions that this TensorFlow binary was not compile ...

  6. 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 ...

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

    问题: 安装TensorFlow(CPU版本),使用pip install tensorflow安装,安装一切顺利,但是在跑一个简单的程序时,遇到如下情况: 大概意思是:你的CPU支持AVX扩展,但是 ...

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

    解决方法: 如果安装的是GPU版本 如果你有一个GPU,你不应该关心AVX的支持,因为大多数昂贵的操作将被分派到一个GPU设备上(除非明确地设置).在这种情况下,您可以简单地忽略此警告: import ...

  9. 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 ...

随机推荐

  1. 自动化部署之jenkins及简介

    一.什么是持续集成? (1)Continuous integration(CI) 持续集成是一种软件开发实践,即团队开发成员经常集成他们的工作,通常每个成员至少集成一次,也就意味着每天可能会发生多次集 ...

  2. 数据结构（C语言版）-第2章 线性表

    #define MAXSIZE 100 //最大长度 typedef struct { ElemType *elem; //指向数据元素的基地址 int length; //线性表的当前长度 }SqL ...

  3. spring boot ----> 和mybatis。。。

    环境: centos6.8,jdk1.8.0_172,maven3.5.4,spring boot1.5.15 1.使用maven命令:mvn dependency:tree查看mybatis-spr ...

  4. Python核心编程的四大神兽

    http://www.cnblogs.com/ssy3340/p/9747722.html

  5. 阻止ajax缓存方法

    通过添加meta标签 <meta http-equiv= "pragma" content= "no-cache"/> (pragma: 杂注) & ...

  6. 关于*[pylint]E1101:Module 'xxx' has no 'xxx' member* 简单而有效的解决办法

    关于 pylint 的 *E1101* 错误: 概念: %s %r has no %r member Function %r has no %r member Variable %r has no % ...

  7. tomcat压缩版配置

    下载Jdk并安装 配置Java环境变量 因为需要用services.bat安装,services.bat中 rem Make sure prerequisite environment variabl ...

  8. CSS3透明背景+渐变样式

    CSS3透明背景+渐变样式 转载自博文:<CSS3透明背景+渐变样式> http://blog.csdn.net/netbug_nb/article/details/44343809 效果 ...

  9. Qt样式表都有哪些属性可以设置

    我们可以在Qt助手中输入Qt Style Sheets Reference然后选择List of Pseudo-States 项查看Qt控件支持的所有状态. 附几个参考学习的博客: https://b ...

  10. @GeneratedValue 四种标准用法为TABLE,SEQUENCE,IDENTITY,AUTO.

    一.JPA通用策略生成器 通过annotation来映射hibernate实体的,基于annotation的hibernate主键标识为@Id, 其生成规则由@GeneratedValue设定的.这里 ...