Silence TensorFlow
=========================================================================================
|pip| |downloads|
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:
.. code:: shell
pip install silence_tensorflow
How do I use it?
----------------------------------------
You only need to import the package before import Tensorflow:
.. code:: python
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:
.. code:: python
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:
.. code:: python
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:
.. code:: python
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:
.. code:: python
import os
from silence_tensorflow import silence_tensorflow
backup = os.environ["KMP_AFFINITY"]
silence_tensorflow()
os.environ["KMP_AFFINITY"] = backup
.. |pip| image:: https://badge.fury.io/py/silence-tensorflow.svg
:target: https://badge.fury.io/py/silence-tensorflow
:alt: Pypi project
.. |downloads| image:: https://pepy.tech/badge/silence-tensorflow
:target: https://pepy.tech/badge/silence-tensorflow
:alt: Pypi total project downloads
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"description": "Silence TensorFlow\n=========================================================================================\n|pip| |downloads|\n\nSimple python package to shut up Tensorflow warnings and logs, letting you focus on the \nimportant errors.\n\nHow do I install this package?\n----------------------------------------------\nAs usual, just download it using pip:\n\n.. code:: shell\n\n pip install silence_tensorflow\n\n\nHow do I use it?\n----------------------------------------\nYou only need to import the package before import Tensorflow:\n\n.. code:: python\n\n from silence_tensorflow import silence_tensorflow\n silence_tensorflow()\n import tensorflow as tf\n\n ...\n\n # your code\n\nCan it be done within the import?\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nSure, you can do everything with a single line by\nimporting the submodule auto:\n\n.. code:: python\n\n import silence_tensorflow.auto\n import tensorflow as tf\n\n ...\n\n # your code\n\nHow can I get pylint to ignore the unused import?\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nYou can use the flag 'disable=unused-import' as such:\n\n.. code:: python\n\n import silence_tensorflow.auto # pylint: disable=unused-import\n import tensorflow as tf\n\n ...\n\n # your code\n\nHow can I get pylint to ignore the unused variable?\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nIf you import silence_tensorflow in the context of a function\nyou will get a different warning from pyling: unused variable.\nYou can use the flag 'disable=unused-variable' as such:\n\n.. code:: python\n \n def func():\n import silence_tensorflow.auto # pylint: disable=unused-variable\n import tensorflow as tf\n\n ...\n\n # your code\n\nHow does this work under the hood?\n----------------------------------------\nThis package will set the `KMP_AFFINITY` system variable to `\"noverbose\"`,\n`TF_CPP_MIN_LOG_LEVEL` to level `3` (only errors logged).\n\nIf you need a custom value for `KMP_AFFINITY` you should reset it after importing the package, as follows:\n\n.. code:: python\n\n import os\n from silence_tensorflow import silence_tensorflow\n backup = os.environ[\"KMP_AFFINITY\"]\n silence_tensorflow()\n os.environ[\"KMP_AFFINITY\"] = backup\n\n.. |pip| image:: https://badge.fury.io/py/silence-tensorflow.svg\n :target: https://badge.fury.io/py/silence-tensorflow\n :alt: Pypi project\n\n.. |downloads| image:: https://pepy.tech/badge/silence-tensorflow\n :target: https://pepy.tech/badge/silence-tensorflow\n :alt: Pypi total project downloads",
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