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I'm trying to run a tensorflow code in v2.0 and I'mg getting the following error

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

I don't want to simply remove it from the code.

  • why this code has been removed?
  • why should I do instead?
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61

tf.logging was for Logging and Summary Operations and in TF 2.0 it has been removed in favor of the open-source absl-py, and to make the main tf.* namespace has functions that will be used more often.

In TF.2 lesser used functions are gone or moved into sub-packages like tf.math

So instead of tf.logging you could:

  • tf_upgrade_v2 will upgrade script and changes tf.logging to tf.compat.v1.logging
  • Python logging module can be used instead
  • Import absl-py library
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NOTE: This fix does not work for bert-as-a-service.
Syntax is as follows: tf_upgrade_v2 --infile foo.py --outfile bar.py , tf_upgrade_v2 --infile foo.ipynb --outfile bar.ipynb , tf_upgrade_v2 --intree ~/code/old --outtree ~/code/new , Note : replace foo.py with your filename
Any chance of an alternative as simple as tf.logging.info("...") ? tf.print() ?
8

If you are using someone else's code it's better to install same Tensorflow version as the author used, or downgrade your Tensorflow version. You may wanna try this:

pip install tensorflow==1.15.0

Or if you have gpu:

pip install tensorflow-gpu==1.15.0

You may still get depricated warnings, however you don't need to modify several files replacing tf with tf.compat.v1

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