Disable Tensorflow debugging information

Question

You can disable all debugging logs using os.environ :

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

Tested on tf 0.12 and 1.0

In details,

0 = all messages are logged (default behavior)
1 = INFO messages are not printed
2 = INFO and WARNING messages are not printed
3 = INFO, WARNING, and ERROR messages are not printed

2.0 Update (10/8/19) Setting TF_CPP_MIN_LOG_LEVEL should still work (see below in v0.12+ update), but there is currently an issue open (see issue #31870). If setting TF_CPP_MIN_LOG_LEVEL does not work for you (again, see below), try doing the following to set the log level:

import tensorflow as tf
tf.get_logger().setLevel('INFO')

In addition, please see the documentation on tf.autograph.set_verbosity which sets the verbosity of autograph log messages - for example:

# Can also be set using the AUTOGRAPH_VERBOSITY environment variable
tf.autograph.set_verbosity(1)

v0.12+ Update (5/20/17), Working through TF 2.0+:

In TensorFlow 0.12+, per this issue, you can now control logging via the environmental variable called TF_CPP_MIN_LOG_LEVEL; it defaults to 0 (all logs shown) but can be set to one of the following values under the Level column.

  Level | Level for Humans | Level Description                  
 -------|------------------|------------------------------------ 
  0     | DEBUG            | [Default] Print all messages       
  1     | INFO             | Filter out INFO messages           
  2     | WARNING          | Filter out INFO & WARNING messages 
  3     | ERROR            | Filter out all messages      

See the following generic OS example using Python:

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

You can set this environmental variable in the environment that you run your script in. For example, with bash this can be in the file ~/.bashrc, /etc/environment, /etc/profile, or in the actual shell as:

TF_CPP_MIN_LOG_LEVEL=2 python my_tf_script.py

To be thorough, you call also set the level for the Python tf_logging module, which is used in e.g. summary ops, tensorboard, various estimators, etc.

# append to lines above
tf.logging.set_verbosity(tf.logging.ERROR)  # or any {DEBUG, INFO, WARN, ERROR, FATAL}

For 1.14 you will receive warnings if you do not change to use the v1 API as follows:

# append to lines above
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)  # or any {DEBUG, INFO, WARN, ERROR, FATAL}

---

**For Prior Versions of TensorFlow or TF-Learn Logging (v0.11.x or lower):**

View the page below for information on TensorFlow logging; with the new update, you're able to set the logging verbosity to either DEBUG, INFO, WARN, ERROR, or FATAL. For example:

tf.logging.set_verbosity(tf.logging.ERROR)

The page additionally goes over monitors which can be used with TF-Learn models. Here is the page.

This doesn't block all logging, though (only TF-Learn). I have two solutions; one is a 'technically correct' solution (Linux) and the other involves rebuilding TensorFlow.

script -c 'python [FILENAME].py' | grep -v 'I tensorflow/'

For the other, please see this answer which involves modifying source and rebuilding TensorFlow.

For compatibility with Tensorflow 2.0, you can use tf.get_logger

import logging
tf.get_logger().setLevel(logging.ERROR)

I have had this problem as well (on tensorflow-0.10.0rc0), but could not fix the excessive nose tests logging problem via the suggested answers.

I managed to solve this by probing directly into the tensorflow logger. Not the most correct of fixes, but works great and only pollutes the test files which directly or indirectly import tensorflow:

# Place this before directly or indirectly importing tensorflow
import logging
logging.getLogger("tensorflow").setLevel(logging.WARNING)

As TF_CPP_MIN_LOG_LEVEL didn't work for me you can try:

tf.logging.set_verbosity(tf.logging.WARN)

Worked for me in tensorflow v1.6.0

To anyone still struggling to get the os.environ solution to work as I was, check that this is placed before you import tensorflow in your script, just like mwweb's answer:

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

I solved with this post Cannot remove all warnings #27045 , and the solution was:

import logging
logging.getLogger('tensorflow').disabled = True