テンソルフローのレベル警告を無効にします。

Question

不適切な質問を申し訳ありません。最初にテンソルフローをインストールしました.tf.Session（）にエラーや警告が正しくインストールされているかどうかをテストしながらテストしました。

python 3.5を使用しています。

コード

import tensorflow as tf 
hello = tf.constant('Hello, TensorFlow!') 
sess = tf.Session() 
print(sess.run(hello)) 

エラー

2017-08-10 14:47:51.923532: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-10 14:47:51.924625: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-10 14:47:51.925259: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 
2017-08-10 14:47:51.925848: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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. 
2017-08-10 14:47:51.926445: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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. 
2017-08-10 14:47:51.926971: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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. 
2017-08-10 14:47:51.927455: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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. 
2017-08-10 14:47:51.928056: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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. 

出力警告は、適切な設定を削除することができ

b'Hello, tensor-flow' 

Answer 1

osレベルログ

import os 
os.environ['TF_CPP_MIN_LOG_LEVEL']='3' 
import tensorflow as tf 

# Also to remove permanently, add the following line to your ~/.bashrc file 
export TF_CPP_MIN_LOG_LEVEL=3