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 instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

解决方法

加入下面两行代码,忽略警告:

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

说明:

os.environ["TF_CPP_MIN_LOG_LEVEL"] = '' # 这是默认的显示等级,显示所有信息
os.environ["TF_CPP_MIN_LOG_LEVEL"] = '' # 只显示 warning 和 Error
os.environ["TF_CPP_MIN_LOG_LEVEL"] = '' # 只显示 Error

参考:
https://blog.csdn.net/hq86937375/article/details/79696023
https://blog.csdn.net/qq_41185868/article/details/79127838

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. 运行TensorFlow出现Your CPU supports instructions that this TensorFlow binary was not compiled to use: AV

    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. ...

  3. 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 ...

  4. 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

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

    解决方法:import os                  os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'输入1:显示所有信息 2:只显示warning和erro ...

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

    加入 import os os.environ[' demo: import os os.environ[' import tensorflow as tf tf.enable_eager_execu ...

  7. 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

    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'

  8. 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 ...

  9. 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 ...

随机推荐

  1. Codeforces Beta Round #16 div 2 C.Monitor最大公约数

    C. Monitor time limit per test 0.5 second memory limit per test 64 megabytes input standard input ou ...

  2. 【Golang 接口自动化08】使用标准库httptest完成HTTP请求的Mock测试

    前言 Mock是一个做自动化测试永远绕不过去的话题.本文主要介绍使用标准库net/http/httptest完成HTTP请求的Mock的测试方法. 可能有的小伙伴不太了解mock在实际自动化测试过程中 ...

  3. 30分钟带你了解Docker

    最近一直在忙项目,不知不觉2个多月没有更新博客了.正好自学了几天docker就干脆总结一下,也顺带增加一篇<30分钟入门系列>.网上能够查到的对于docker的定义我就不再重复了,说说我自 ...

  4. Hyper-v群集的仲裁模式配置依据

    1,仲裁配置的原理 节点多数(推荐用于含有奇数个节点的群集) 可以承受的故障节点数为节点数的一半(四舍五入)减去一.例如,七个节点的群集可以承受三个节点出现故障. 节点和磁盘多数(推荐用于含有偶数个节 ...

  5. Codeforces 911E - Stack Sorting

    911E - Stack Sorting 思路: 用栈来模拟,能pop就pop,记下一个需要pop的数为temp,那么如果栈非空,栈顶肯定大于temp,那么加入栈 栈顶值-1 到 temp 的值,否则 ...

  6. Unity中使用的一套敏感词过滤方式

    当项目中的敏感词数量不是很多的时候,直接用数组来遍历过滤其实也可以,但是具体的数量有多大,这个肯定不好说,因此,对.txt中的敏感词合理组织后再进行过滤就显得非常有必要了. 如上图,左边是txt中配置 ...

  7. PHP使用phpstorm进行断点调试

    1.下载xdebug模块 (https://xdebug.org/) 注意:带"ts"是线程安全的意思,"nts"的他没有标示,也就是说,如果是nts的要下载没 ...

  8. ubuntu16.04 安装NVIDIA和CUDA9.2 cudNN7.1

    1.安装NVIDIA驱动 (1)查询NVIDIA驱动 首先去官网(http://www.nvidia.com/Download/index.aspx?lang=en-us)查看适合自己显卡的驱动(下载 ...

  9. jsp动作之 setProperty

    setProperty用来设置useBean实例的属性. 如useBean实例化了一个类,类中有nickname属性,那么,我们可以用setProperty来重新定义他的值. setProperty有 ...

  10. WPF操作RichTextBox

    http://www.cnblogs.com/wzwyc/p/6291895.html