Attributeerror: module ‘tensorflow’ has no attribute configproto

Attributeerror_ module 'tensorflow' has no attribute configproto

Attributeerror: module ‘tensorflow’ has no attribute configproto error occurs configproto is completely removed in TensorFlow 2.0. This configproto module does not provide back word compatibility in TensorFlow 2.0.  There are multiple ways to fix this AttributeError.  We will explore them in this article.

Attributeerror: module ‘tensorflow’ has no attribute configproto ( Solution ) –

Solution 1: Using Compatible Syntax –

If you want to use any syntax from TensorFlow 1.x series in TensorFlow 2.x then you can use the below way to import the statement.

tf.compat.v1.ConfigProto

in the place of tf.ConfigProto . It will only make this import compatible but if you want to run complete 1.x code in 2.x interpreter. Then you should add two lines to your code base.

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

Solution 2: Converting the code from TensorFlow 1.0 to  2.x –

The other workaround to fix this error is migrating the code base from 1.x to 2.x if the underline interpreter is 2.0-supportive.  Here is the command for this migration.

tf_upgrade_v2 \
  --intree my_project_1.x/ \
  --outtree my_project_v2/ \
  --reportfile report.txt

Here my_project_1.x is on tensorFlow 1.x and we are migrating it into my_project_v2 .  In between the report.txt works as log for this migration.

Attributeerror module tensorflow has no attribute configproto fix with code version migration
Attributeerror module tensorflow has no attribute configproto fix with code version migration

Solution 3: Downgrading TensorFlow to 1.x series –

Since the code is breaking because of version incompatibility. Then one way is to downgrade TensorFlow version to the 1.x version but this is not recommended because it may break more worse if another part of the code also does not provide backward compatibility.
pip install tensorflow==1.15.5

You may try other lower versions as well. but make sure it is not breaking further.

Similar Errors   –

Since there are multiple breaking changes in Tensorflow Migration Release 1.x to 2.x. Due to this, the Interpreter throws similar errors.

Attributeerror: module ‘tensorflow’ has no attribute ‘session’

Attributeerror: module tensorflow has no attribute placeholder

 

Thanks
Data Science Learner Team

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Meet Abhishek ( Chief Editor) , a data scientist with major expertise in NLP and Text Analytics. He has worked on various projects involving text data and have been able to achieve great results. He is currently manages Datasciencelearner.com, where he and his team share knowledge and help others learn more about data science.
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