Tensorflow日志消息不出现 [英] Tensorflow logging messages do not appear

问题描述

我使用随pip install一起安装的tensorflow 1.2.0.

当我运行包含

import logging
tf.logging.set_verbosity(tf.logging.INFO)

格式的日志消息

logging.info('TEST')

即使带有标志--tostderr，也不会出现在终端输出中.

do not appear in the terminal output, even with the flag --tostderr.

根据此答案我也尝试过

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'

但是问题仍然存在.有什么想法吗?

but still the problem persists. Any ideas?

推荐答案

TF日志记录基础:

因此，围绕张量流日志记录存在很多困惑，并且它确实没有得到很好的记录.我在搜索中登陆了几次，因此似乎是发布答案的好地方.

TF Logging Basics:

So there is a lot of confusion around tensorflow logging, and it is really not well documented. I landed here a few times in my searches, so it seems to be a good place to post an answer.

经过对Ubuntu和Windows的研究和试验(超出了我的计划)，这就是我得到的:

After some research and experimentation with Ubuntu and Windows (more than I had planned), this is what I got:

有两个标志，名称相似，但语义有所不同:

There are two flags, similarly named, but with somewhat different semantics:

• TF_CPP_MIN_LOG_LEVEL-具有3或4个基本级别-低数字=更多消息.
  • 0输出信息，警告，错误和致命信息(默认)
  • 1输出警告，并且在
  以上
  • 2输出错误及以上.
  • 等等...我没有检查边缘情况
  • TF_CPP_MIN_LOG_LEVEL - which has 3 or 4 basic levels - low numbers = more messages.
    • 0 outputs Information, Warning, Error, and Fatals (default)
    • 1 outputs Warning, and above
    • 2 outputs Errors and above.
    • etc... I didn't check edge cases
    • 3输出很多东西
    • 2输出较少
    • 1输出更少
    • 0不输出任何多余内容(默认)
    • 3 Outputs lots and lots of stuff
    • 2 Outputs less
    • 1 Outputs even less
    • 0 Outputs nothing extra (default)
    • 由于所有VLOG消息都是信息性的，因此需要将LOG设置为0，以便您查看它们.幸运的是，这是默认设置.
    • 这些错误归为标准错误，因此您可以使用以下方法将其重定向:
      • python tf-program.py &>mylog.log
      • Since all the VLOG messages are Informational, then LOG needs to be set at 0 for you to see them. Fortunately that is the default.
      • These errors go to the standard error so you can redirect them with something like:
        • python tf-program.py &>mylog.log
        • 除了python的os模块未在Windows下拾取它们. Python从不爱Windows ...
          • 此代码序列在Windows中对我有效(并且肯定在Linux中适用):
            • import os
            • os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'
            • os.environ['TF_CPP_MIN_VLOG_LEVEL'] = '3'
            • import tensorflow as tf
            • Except python's os module did not pick them up under Windows. Python never loved Windows...
              • this code sequence works for me in Windows (and would surely work in Linux):
                • import os
                • os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'
                • os.environ['TF_CPP_MIN_VLOG_LEVEL'] = '3'
                • import tensorflow as tf
                • 在Linux(bash)下，您可以在命令行上方便地指定这些内容，例如:
                  • TF_CPP_MIN_VLOG_LEVEL=3 python tf-program.py
                  • Under Linux (bash) you can specify these conveniently on the command line, so with something like:
                    • TF_CPP_MIN_VLOG_LEVEL=3 python tf-program.py

                    FWIW，我通过本教程在TensorFlow 1.7上进行了测试:

                    FWIW, I tested on TensorFlow 1.7 with this tutorial:

                    https://github.com/tensorflow/models/tree/master/tutorials/image/mnist
                    

                    这是它的样子:

                    这篇关于Tensorflow日志消息不出现的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！