module 'tensorflow' has no attribute 'logging'

tensorflow tensorflow2.0
Hadi Rasekh picture Hadi Rasekh · Mar 23, 2019 · Viewed 31.6k times · Source

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?

Answer

Hadi Rasekh picture Hadi Rasekh · Mar 23, 2019

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

Related questions

Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'

When I am executing the command sess = tf.Session() in Tensorflow 2.0 environment, I am getting an error message as below: Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: module 'tensorflow' has no attribute …

Read More
How to prevent tensorflow from allocating the totality of a GPU memory?

I work in an environment in which computational resources are shared, i.e., we have a few server machines equipped with a few Nvidia Titan X GPUs each. For small to moderate size models, the 12 GB of the Titan X …

Read More
Could not load dynamic library 'cudart64_101.dll' on tensorflow CPU-only installation

I just installed the latest version of Tensorflow via pip install tensorflow and whenever I run a program, I get the log message: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: …

Read More