silence-tensorflow 1.2.1

Simple python package to shut up Tensorflow warnings and logs.

Simple python package to shut up Tensorflow warnings and logs, letting you focus on the important errors.

How do I install this package?

As usual, just download it using pip:

pip install silence_tensorflow

How do I use it?

You only need to import the package before import Tensorflow:

from silence_tensorflow import silence_tensorflow
silence_tensorflow()
import tensorflow as tf

...

# your code

Can it be done within the import?

Sure, you can do everything with a single line by importing the submodule auto:

import silence_tensorflow.auto
import tensorflow as tf

...

# your code

How can I get pylint to ignore the unused import?

You can use the flag ‘disable=unused-import’ as such:

import silence_tensorflow.auto  # pylint: disable=unused-import
import tensorflow as tf

...

# your code

How can I get pylint to ignore the unused variable?

If you import silence_tensorflow in the context of a function you will get a different warning from pyling: unused variable. You can use the flag ‘disable=unused-variable’ as such:

def func():
    import silence_tensorflow.auto  # pylint: disable=unused-variable
    import tensorflow as tf

    ...

    # your code

How does this work under the hood?

This package will set the KMP_AFFINITY system variable to “noverbose”, TF_CPP_MIN_LOG_LEVEL to level 3 (only errors logged).

If you need a custom value for KMP_AFFINITY you should reset it after importing the package, as follows:

import os
from silence_tensorflow import silence_tensorflow
backup = os.environ["KMP_AFFINITY"]
silence_tensorflow()
os.environ["KMP_AFFINITY"] = backup