tensorflow中可以通過配置環境變數 'TF_CPP_MIN_LOG_LEVEL' 的值，控制tensorflow是否遮蔽通知資訊、警告、報錯等輸出資訊。

使用方法：

import os
import tensorflow as tf
 
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0','1','2'}

TF_CPP_MIN_LOG_LEVEL 取值 0 ： 0也是預設值，輸出所有資訊

TF_CPP_MIN_LOG_LEVEL 取值 1 ： 遮蔽通知資訊

TF_CPP_MIN_LOG_LEVEL 取值 2 ： 遮蔽通知資訊和警告資訊

TF_CPP_MIN_LOG_LEVEL 取值 3 ： 遮蔽通知資訊、警告資訊和報錯資訊

測試程式碼：

import tensorflow as tf
import os
 
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
 
v1 = tf.constant([1.0,2.0,3.0],shape=[3],name='v1')
v2 = tf.constant([1.0,name='v2')
sumV12 = v1 + v2
 
with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess:
 print sess.run(sumV12)

TF_CPP_MIN_LOG_LEVEL 為 0 的輸出：

2018-04-21 14:59:09.910415: 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.
2018-04-21 14:59:09.910442: 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.
2018-04-21 14:59:09.910448: 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.
2018-04-21 14:59:09.910453: 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.
2018-04-21 14:59:09.910457: 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.
2018-04-21 14:59:09.911260: I tensorflow/core/common_runtime/direct_session.cc:300] Device mapping:
2018-04-21 14:59:09.911816: I tensorflow/core/common_runtime/simple_placer.cc:872] add: (Add)/job:localhost/replica:0/task:0/cpu:0
2018-04-21 14:59:09.911835: I tensorflow/core/common_runtime/simple_placer.cc:872] v2: (Const)/job:localhost/replica:0/task:0/cpu:0
2018-04-21 14:59:09.911841: I tensorflow/core/common_runtime/simple_placer.cc:872] v1: (Const)/job:localhost/replica:0/task:0/cpu:0
Device mapping: no known devices.
add: (Add): /job:localhost/replica:0/task:0/cpu:0
v2: (Const): /job:localhost/replica:0/task:0/cpu:0
v1: (Const): /job:localhost/replica:0/task:0/cpu:0
[ 2. 4. 6.]

值為0也是預設的輸出，分為三部分，一個是警告資訊說沒有優化加速，二是通知資訊告知操作所用的裝置，三是程式中程式碼指定要輸出的結果資訊

TF_CPP_MIN_LOG_LEVEL 為 1 的輸出，沒有通知資訊了：

2018-04-21 14:59:09.910415: 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.
Device mapping: no known devices.
add: (Add): /job:localhost/replica:0/task:0/cpu:0
v2: (Const): /job:localhost/replica:0/task:0/cpu:0
v1: (Const): /job:localhost/replica:0/task:0/cpu:0
[ 2. 4. 6.]

TF_CPP_MIN_LOG_LEVEL 為 2和3 的輸出，設定為2就沒有警告資訊了，設定為3警告和報錯資訊（如果有）就都沒有了：

Device mapping: no known devices.
add: (Add): /job:localhost/replica:0/task:0/cpu:0
v2: (Const): /job:localhost/replica:0/task:0/cpu:0
v1: (Const): /job:localhost/replica:0/task:0/cpu:0
[ 2. 4. 6.]

以上這篇在tensorflow中實現遮蔽輸出的log資訊就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支援我們。