tensorflow中屏蔽输出的log信息方法
2024-10-11 05:42:29
tensorflow中可以通过配置环境变量 'TF_CPP_MIN_LOG_LEVEL' 的值,控制tensorflow是否屏蔽通知信息、警告、报错等输出信息。
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也是默认值,输出所有信息
TF_CPP_MIN_LOG_LEVEL 取值 1 : 屏蔽通知信息
TF_CPP_MIN_LOG_LEVEL 取值 2 : 屏蔽通知信息和警告信息
TF_CPP_MIN_LOG_LEVEL 取值 3 : 屏蔽通知信息、警告信息和报错信息
测试代码:
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, 2.0, 3.0], shape=[3], 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 为 0 的输出:
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.]
值为0也是默认的输出,分为三部分,一个是警告信息说没有优化加速,二是通知信息告知操作所用的设备,三是程序中代码指定要输出的结果信息
TF_CPP_MIN_LOG_LEVEL 为 1 的输出,没有通知信息了:
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.
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.
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 为 2和3 的输出,设置为2就没有警告信息了,设置为3警告和报错信息(如果有)就都没有了:
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.]
最新文章
- CSS优先级
- ORACLE 移动数据文件 控制文件 重做日志文件
- CSS3特性 盒模型 动画
- Apache 配置多端口网站
- webService—使用javaxws发布自己的webService
- Debug
- C# Java间进行RSA加密解密交互(三)
- HTTP错误代码详细介绍
- TortoiseGit安装与配置(转)
- 【转】configure/make/make install的使用说明
- C语言数组之冒泡排序+折半查找法(二分查找)
- python常量 变量 数据类型 注释 交互 if语句
- BZOJ4456/UOJ#184[Zjoi2016]旅行者 分治 最短路
- CentOS 使用yum命令安装出现错误提示”could not retrieve mirrorlist http://mirrorlist.centos.org
- SSM商城项目(十)
- nodejs 文件拷贝
- Caution: request is not finished yet
- 利用(CMD)在Django中创建文件
- [转]Github 简明教程
- public static void main(String[] args)说明