加入

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

demo:

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = ''
import tensorflow as tf
tf.enable_eager_execution()
print(tf.add(, ).numpy())
hello = tf.constant('Hello, TensorFlow!')
print(hello.numpy())

警告:Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA的更多相关文章

  1. 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 ...

  2. 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 ...

  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. 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 ...

  5. 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'

  6. 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 ...

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

    1.问题 写了一个简单的单层神经网络跑mnist手写数字集,结果每次fit都会出现dead kernel 很多dead kernel首先不要急着去网上搜dead kernel怎么解决,因为大家出现的原 ...

  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. Java之构造器和构造方法的使用和意义

    我总是要把构造器和方法混淆,后来发现, 方法,实际上,是需要用于执行java代码的,而构造器, 构造器,,,是一个类的实例!!(我的理解,构造器是一个对象) 为什么呢? 类的实例,我们需要用类来创建对 ...

  2. ajax post 数组

    ajax post 传递数组参数后台接收的为null,需要将其连接为字符串后传递 var url = "@Url.Action("CheckOutProduct", &q ...

  3. React组件,React和生命周期

    笔记,具体可以看看这个博客: https://segmentfault.com/a/1190000004168886?utm_source=tag-newest react 的jsx document ...

  4. python+Django框架运用(三)

    Django模型 模式指的是根据数据库中数据表的结构来创建出来的class,每一张表到Python中就是一个 class,表中的每一个列,到Python中就是class的一个属性. 在模型中可以完成对 ...

  5. zookeeper 详解

    是 分布式 协调 服务. ZK的工作:注册:所有节点向ZK争抢注册,注册成功会建立一套节点目录树,先注册的节点为Active节点,后注册节点成为standby;监听事件:节点在ZK集群里注册监听动作: ...

  6. ubuntu常用指令

    总结一下常用的linux指令. mark一个linux指令学习和速查的网站:http://man.linuxde.net/ (0) su和sudo:得到root权限 su 切换到root用户 sudo ...

  7. python进程join()函数理解

    Join()是主程序等我这个进程执行完毕了,程序才往下走  

  8. Javassist

    Javassist 实现动态代理 javassist 是一款非常优秀的Java 字节码引擎工具,能够在运行时编译.生成Java Class.

  9. Linux系统故障排查和修复技巧

    本文转自:http://os.51cto.com/art/201304/388384.htm 我发现Linux系统在启动过程中会出现一些故障,导致系统无法正常启动,我在这里写了几个应用单用户模式.GR ...

  10. WireShark 基本介绍

    文中内容主要转自:http://www.cnblogs.com/TankXiao/archive/2012/10/10/2711777.html 一.Wireshark 与 Fiddler 比较: F ...