Disable Tensorflow debugging information

Question

By debugging information I mean what TensorFlow shows in my terminal about loaded libraries and found devices etc  not Python errors   I tensorflow stream executor dso loader cc 105  successfully opened CUDA library libcublas so locally I tensorflow stream executor dso loader cc 105  successfully opened CUDA library libcudnn so locally I tensorflow stream executor dso loader cc 105  successfully opened CUDA library libcufft so locally I tensorflow stream executor dso loader cc 105  successfully opened CUDA library libcuda so 1 locally I tensorflow stream executor dso loader cc 105  successfully opened CUDA library libcurand so locally I tensorflow stream executor cuda cuda gpu executor cc 900  successful NUMA node read from SysFS had negative value  -1   but there must be at least one NUMA node  so returning NUMA node zero I tensorflow core common runtime gpu gpu init cc 102  Found device 0 with properties   name  Graphics Device major  5 minor  2 memoryClockRate  GHz  1 0885 pciBusID 0000 04 00 0 Total memory  12 00GiB Free memory  11 83GiB I tensorflow core common runtime gpu gpu init cc 126  DMA  0  I tensorflow core common runtime gpu gpu init cc 136  0    Y  I tensorflow core common runtime gpu gpu device cc 717  Creating TensorFlow device   gpu 0  - gt   device  0  name  Graphics Device  pci bus id  0000 04 00 0  I tensorflow core common runtime gpu gpu bfc allocator cc 51  Creating bin of max chunk size 1 0KiB

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I solved with this post  Cannot remove all warnings  27045   and the solution was   import logging logging getLogger  tensorflow   disabled   True

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Yeah  I m using tf 2 0-beta and want to enable disable the default logging   The environment variable and methods in tf1 X don t seem to exist anymore   I stepped around in PDB and found this to work     close the TF2 logger tf2logger   tf get logger   tf2logger error  Close TF2 logger handlers   tf2logger root removeHandler tf2logger root handlers 0     I then add my own logger API  in this case file-based   logtf   logging getLogger  DST   logtf setLevel logging DEBUG     file handler logfile   tmp tf s log  fh   logging FileHandler logfile  fh setFormatter  logging Formatter  fh   asctime s   name s   filename s   lineno d    message s     logtf addHandler fh  logtf info  writing to  s   logfile

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for tensorflow 2 1 0  following code works fine   import tensorflow as tf tf compat v1 logging set verbosity tf compat v1 logging ERROR

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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

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To add some flexibility here  you can achieve more fine-grained control over the level of logging by writing a function that filters out messages however you like   logging getLogger  tensorflow   addFilter my filter func    where my filter func accepts a LogRecord object as input  LogRecord docs  and returns zero if you want the message thrown out  nonzero otherwise   Here s an example filter that only keeps every nth info message  Python 3 due to the use of nonlocal here    def keep every nth info n       i   -1     def filter record record           nonlocal i         i    1         return int record levelname     INFO  or i   n    0      return filter record    Example usage for TensorFlow  logging getLogger  tensorflow   addFilter keep every nth info 5     All of the above has assumed that TensorFlow has set up its logging state already  You can ensure this without side effects by calling tf logging get verbosity   before adding a filter

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If you only need to get rid of warning outputs on the screen  you might want to clear the console screen right after importing the tensorflow by using this simple command  Its more effective than disabling all debugging logs in my experience    In windows   import os os system  cls     In Linux or Mac   import os os system  clear

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For compatibility with Tensorflow 2 0  you can use tf get logger   import logging tf get logger   setLevel logging ERROR

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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  amp  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

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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

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Usual python3 log manager works for me with tensorflow  1 11 0   import logging logging getLogger  tensorflow   setLevel logging INFO

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I am using Tensorflow version 2 3 1 and none of the solutions above have been fully effective  Until  I find this package  Install like this  with Anaconda  python -m pip install silence-tensorflow  with IDEs  pip install silence-tensorflow  And add to the first line of code  from silence tensorflow import silence tensorflow silence tensorflow    That s It

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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

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I was struggling from this for a while  tried almost all the solutions here but could not get rid of debugging info in TF 1 14  I have tried following multiple solutions  import os import logging import sys  os environ  TF CPP MIN LOG LEVEL      3     FATAL stderr   sys stderr sys stderr   open os devnull   w    import tensorflow as tf tf get logger   setLevel tf compat v1 logging FATAL  tf compat v1 logging set verbosity tf compat v1 logging ERROR  logging getLogger  tensorflow   setLevel tf compat v1 logging FATAL   sys stderr   stderr  import absl logging logging root removeHandler absl logging  absl handler  absl logging  warn preinit stderr   False  The debugging info still showed up  what finally helped was restarting my pc  actually restarting the kernel should work   So if somebody has similar problem  try restart kernel after you set your environment vars  simple but might not come in mind

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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

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None of the solutions above could solve my problem in Jupyter Notebook  so I use the following snippet code bellow from Cicoria  and issues solved  import warnings   with warnings catch warnings          warnings filterwarnings  quot ignore quot  category FutureWarning      import tensorflow as tf     from tensorflow import keras     from tensorflow keras preprocessing text import Tokenizer  print  Done

[python] Disable Tensorflow debugging information

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