The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available...

跑 tensorflow 官方教程时报warning:

2017-06-08 22:36:18.809242: W tensorflow/core/platform/cpu_feature_guard.cc:45]The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-06-08 22:36:18.809260: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-06-08 22:36:18.809263: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-06-08 22:36:18.809266: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-06-08 22:36:18.809269: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.

只需要在相应的.py文件头这样写：

import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf

...

然后就没有问题啦～

import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='1' # 这是默认的显示等级，显示所有信息

# 2级
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2' # 只显示 warning 和 Error

# 3级
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='3' # 只显示 Error