TF 1.x: remove the "deprecated" warning messages #27023

erikchwang · 2019-03-22T05:46:14Z

I know the functional APIs, such as tf.layers.dense, will disappear in TF 2.0. However, their alternatives, tf.keras.layers, are not compatible with other components of TF 1.x, for example, they even do not support variable scope (#27016). So I will stick on the deprecated APIs in TF 1.x.
Would you please remove the disgusting "deprecated" warning messages like this: xxx (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Use keras.layers.xxx instead.

The text was updated successfully, but these errors were encountered:

shashvatshahi1998 · 2019-03-22T09:07:37Z

You can use this:-
import os
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'

In detail:-
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

erikchwang · 2019-03-22T14:16:59Z

this is what i have been using for years
it cannot stop the deprecation warning

erikchwang · 2019-03-22T15:54:58Z

By the way, before deprecating old components, would you please complete the current functionality? See #27042. It seems that TF is very good at deprecating widely used functions, but poor at improving its weak points

mihaimaruseac · 2019-03-22T16:19:53Z

Deprecation messages are needed to inform people who want to use an actual version of TensorFlow what is going to happen in the future, and give them time to adapt.

As such, we won't be able to remove these messages. You can disable them for yourself using this private API

import tensorflow.python.util.deprecation as deprecation
deprecation._PRINT_DEPRECATION_WARNINGS = False

erikchwang · 2019-03-22T20:58:00Z

Thanks
See #27045, any suggestions?

skylogic004 · 2019-06-12T19:18:32Z

This code gave me an error:

import tensorflow.python.util.deprecation as deprecation
deprecation._PRINT_DEPRECATION_WARNINGS = False

AttributeError: module 'tensorflow' has no attribute 'python'

But changing the import line made it work (and suppresses the deprecation warnings as desired):

from tensorflow.python.util import deprecation
deprecation._PRINT_DEPRECATION_WARNINGS = False

Thanks

mihaimaruseac · 2019-06-12T19:20:44Z

@skylogic004 is this from a recent nightly/build from source from recent master?

skylogic004 · 2019-06-12T20:19:53Z

@mihaimaruseac Oh, I'm using tf 1.13 from anaconda (I'm not familiar with what branch & build it would have come from originally, sorry, but maybe this is enough info for you?).

$ python
Python 3.6.6 | packaged by conda-forge | (default, Jul 26 2018, 11:48:23) [MSC v.1900 64 bit (AMD64)] on win32  
Type "help", "copyright", "credits" or "license" for more information.                                          
>>> import tensorflow as tf                                                                                     
>>> tf.__version__                                                                                              
'1.13.1'                                                                                                        

$ conda list | grep tensor
tensorboard               1.13.1           py36h33f27b4_0
tensorflow                1.13.1          gpu_py36h1635174_0
tensorflow-base           1.13.1          gpu_py36h0fff12a_0
tensorflow-estimator      1.13.0                     py_0
tensorflow-gpu            1.13.1               h0d30ee6_0

Link to anaconda package: https://anaconda.org/anaconda/tensorflow-gpu

mihaimaruseac · 2019-06-12T20:23:27Z

Then it's not something I should worry about (full context: over the past week there have been some failures on imports due to some changes I made; but those are only on master code, which doesn't seem to be the case)

de-code · 2019-08-08T14:51:02Z

Deprecation warnings are important for developers. They may not be all that useful to users. Therefore there are situations where it is desirable to switch them off.

Python has sys.warnoptions which could be for example set via PYTHONWARNINGS, e.g.:
PYTHONWARNINGS=ignore.

TensorFlow has it's own TF_CPP_MIN_LOG_LEVEL option as pointed out earlier.

And there is also the TensorFlow Python logging API (which I believed worked before):

import tensorflow as tf

tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)

That none of the options above are preventing the warning messages from being printed seem to be a bug.

The _PRINT_DEPRECATION_WARNINGS flag seems to be internal and may be removed any time.

EDIT: Apologies, I was confusing the numpy FuturreWarnings for tensorflow warnings. The last option to set the logging level should generally still work.

mrgloom · 2019-08-22T01:33:08Z

On 1.14.0 only this works:

import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)

figroc · 2019-09-12T09:50:51Z

For r1.14 and onward, try this:

try:
    from tensorflow.python.util import module_wrapper as deprecation
except ImportError:
    from tensorflow.python.util import deprecation_wrapper as deprecation
deprecation._PER_MODULE_WARNING_LIMIT = 0

Anyway, it is internal and subjects to change.

mihaimaruseac · 2019-09-12T15:33:22Z

Or switch to TF2.0 where deprecation warnings are removed (as not needed).

jubjamie · 2019-09-17T09:39:05Z

Unless you use a good selection of IDE's :p
Only thing that made me roll back was the autocomplete issue so these suppression requests are valid imo.

mihaimaruseac · 2019-09-17T15:39:22Z

Autocompletion has been mostly solved

pyotr777 · 2019-10-24T07:26:18Z

Tried all of what have been suggested:

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
from tensorflow.python.util import deprecation
deprecation._PRINT_DEPRECATION_WARNINGS = False
try:
    from tensorflow.python.util import module_wrapper as deprecation
except ImportError:
    from tensorflow.python.util import deprecation_wrapper as deprecation
deprecation._PER_MODULE_WARNING_LIMIT = 0

Still, have a pile of warnings.

/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
TF version 1.14.0

Ubuntu 16.04
Python 3.6.8

figroc · 2019-10-24T10:50:30Z

@pyotr777 For python builtin warnings, you should use following to suppress: warnings.filterwarnings('ignore', category=DeprecationWarning) warnings.filterwarnings('ignore', category=FutureWarning)

mihaimaruseac · 2019-10-24T16:13:08Z

@pyotr777 those come from numpy. You are using a numpy version that is slightly incompatible with the TF version you're using.

At the risk of getting more downvotes, please switch to 2.0

bhushanbrb · 2020-01-09T18:58:58Z

FutureWarning

import warnings
warnings.filterwarnings('ignore', category=DeprecationWarning)
warnings.filterwarnings('ignore', category=FutureWarning)

did not supress

/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])

bhushanbrb · 2020-01-09T18:59:51Z

For me this worked for t2.0 warning

import tensorflow as tf
tf.get_logger().warning('test')
# WARNING:tensorflow:test
tf.get_logger().setLevel('ERROR')
tf.get_logger().warning('test')

FYI Logging in TensorFlow changed as TF_CPP_MIN_LOG_LEVEL is not working Anymore

TiwaPhil · 2020-01-14T18:44:51Z

Still, have a pile of warnings.

/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])

Please tried one at a time to change the 1 to 0 eg: _np_qint8 = np.dtype([("qint8", np.int8, 1)]) to _np_qint8 = np.dtype([("qint8", np.int8, 0)]) that works for me

mihaimaruseac · 2020-01-14T18:47:46Z

@TiwaPhil #27023 (comment)

TiwaPhil · 2020-01-14T18:57:11Z

pyotr777 · 2020-01-15T08:08:57Z

You are using a numpy version that is slightly incompatible with the TF version you're using.

For me worked putting

import warnings
warnings.filterwarnings('ignore',category=FutureWarning)

before

import tensorflow as tf

and all other imports.

I have TF 1.14.0 and numpy 1.18.1.

szuer2018 · 2020-02-16T06:28:18Z

before import tensorflow, you should implement:
import warnings
warnings.filterwarnings('ignore',category=FutureWarning)
warnings.filterwarnings('ignore', category=DeprecationWarning)
it works for tensorflow==1.12.0, numpy==1.18.1, python 3.6

mikeyEcology · 2020-02-20T19:14:10Z

I tried this:

import warnings
warnings.filterwarnings('ignore',category=FutureWarning)
warnings.filterwarnings('ignore', category=DeprecationWarning)

And it did not work for me when I ran python non-interactively tensorflow==1.14.0, numpy==1.18.1, python==3.6.10, but it did work in an interactive session.

mikeyEcology · 2020-02-21T14:22:11Z

I found that the following worked when I run python both interactively and non-interactively. When using tensorflow 2.X, you can use:

import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)

And when using tensorflow 1.X (worked on 1.14 for me):

import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)

Deal with: tensorflow/tensorflow#27023

destinyzs · 2020-09-25T09:50:38Z

I tried all methods, but none of them worked in jupyter notebook...

warnings.filterwarnings('ignore',category=FutureWarning)
This can ignore warnings when importing tensorflow, but there still exists many many many WARN if i load model...

alcasla · 2021-01-15T13:15:56Z

This work for me on python 3.6 and TensorFlow 2.2. Inspired from @bhushanbrb, thanks.

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

BishwaBS · 2021-06-08T17:29:28Z

You are using a numpy version that is slightly incompatible with the TF version you're using.

For me worked putting
import warnings
warnings.filterwarnings('ignore',category=FutureWarning)
before
import tensorflow as tf
and all other imports.

I have TF 1.14.0 and numpy 1.18.1.

This indeed works. I tried every other suggestions provided above but none of them worked for me. But, this worked like a charm

mihaimaruseac closed this as completed Mar 22, 2019

mihaimaruseac mentioned this issue Apr 17, 2019

Spurious deprecation warnings #27897

Closed

dakshvar22 mentioned this issue Sep 24, 2019

reduce tensorflow deprecation warnings RasaHQ/rasa#4513

Merged

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gibsramen mentioned this issue Jan 17, 2020

Suppression of warnings and (optionally) output biocore/songbird#106

Merged

lukostaz mentioned this issue Mar 3, 2020

Suppress tf1 deprecation warnings Accenture/AmpliGraph#188

Closed

jjfiv added a commit to toybox-rs/Toybox that referenced this issue Apr 11, 2020

Deal with: tensorflow/tensorflow#27023

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etosch added a commit to toybox-rs/Toybox that referenced this issue Apr 11, 2020

Merge pull request #162 from toybox-rs/shut_up_tensorflow

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Deal with: tensorflow/tensorflow#27023

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Saduf2019 mentioned this issue Oct 20, 2020

Deprecation warnings Model.state_updates and layer.updates when saving model #44178

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Hdf5 sheliak/galah_reduction#17

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Quickstart example throws warnings hill-a/stable-baselines#298

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TF 1.x: remove the "deprecated" warning messages #27023

TF 1.x: remove the "deprecated" warning messages #27023

erikchwang commented Mar 22, 2019

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TF 1.x: remove the "deprecated" warning messages #27023

TF 1.x: remove the "deprecated" warning messages #27023

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