ing TensorFlow backend.
2019-02-12 22:58:02.446276: F tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow library was compiled to use AVX instructions, but these aren’t available on your machine.
PYCHARM 中的SETTING->interpreter 中已经安装了TENSORFLOW，
开始以为是默认版本没匹配上python3.5造成的,
在SHELL 环境下 键入 python --version 查看版本： 显示是：Python 2.7.11+
参考：
https://blog.csdn.net/weixin_43229238/article/details/86522830
更新了默认PYTHON 版本为3.5后 故障依旧。
查了一些资料后发觉是我的CPU不支持AVX指令集呢，只有Intel Core i5 2500 2600K以上的计算机支持AVX，早期的处理器不支持， 我的CPU是1037。 且这个报错不影响程序运行。
PYCHARM下用OPENCV 识别人脸测试中报错- F tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow librar
ing TensorFlow backend.2019-02-12 22:58:02.446276: F tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow library was compiled to use AVX instructions, but these aren’t available on your ...
pycharm
提示如下信息，这是一个警告，没有什么问题，可以忽略
I
tensorflow
/
core
/
platform
/
cpu
_
feature
_
guard
.
cc
:141] Your
CPU
supports instructions that this
TensorFlow
binary was not compiled to use: AVX2
解决方法：忽视、屏蔽警告，在代码开头输入如下指...
2020-10-07 15:19:48.552933: I
tensorflow
/
core
/
platform
/
cpu
_
feature
_
guard
.
cc
:142] This
TensorFlow
binary is optimized with oneAPI Deep Neural Network
Librar
y (oneDNN)to use the following
CPU
instructions in performance-critical operations: AVX2
To enable t
2019-04-26 21:00:06.482405: I
tensorflow
/
core
/
platform
/
cpu
_
feature
_
guard
.
cc
:141] Your
CPU
supports instructions that this
TensorFlow
binary was not compiled to use: AVX2 FMA
import os
os.environ["...
使用Ubuntu 16.04或18.04，python3和
tensorflow
1.12（与pip3一起安装）
UP squared 2 安装openvino后转换
tensorflow
模型
报错
2018--12 11:28:20.086891: F
tensorflow
/
core
/
platform
/
cpu
_
feature
_
guard
.
cc
:
37
] The
TensorFlow
librar
y...
解决 KEIL514 编译错误 \SYSTEM\sys\stm32f10x.h(478): error: #5: cannot open source input file "core_cm3.h"
11564
解决一个GAN训练过程中的报错：one of the variables needed for gradient computation has been modified by an inplace
CCRJ:
