Keras: Not able to import saving

[fallcat]

I'm trying to use Intel NLP Architect and its example has this line that makes it not working:

>>> from keras.engine import saving
Using TensorFlow backend.
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: cannot import name 'saving'

Anyone knows how to fix it? Thank you!
Also this is a link to the whole framework: http://nlp_architect.nervanasys.com/ner_crf.html But the line that makes it not working is just that one line.

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[RaphaelMeudec]

Hi!

It seems the saving file in keras.engine has been initialized after the last release of keras (2.1.6 -- relevant commit).

You can either:

• wait for the next release
• directly clone the repo in your site-packages and run the install there.

[fallcat]

Thank you! It seems to be a problem with Intel NLP Architect that they are not requiring the correct version.

[RaphaelMeudec]

@fallcat don't forget to close the issue if you don't have any more problems!

[akshitharamachandran]

@fallcat How exactly did you fix this issue? I'm also trying to use NLP Architect and am running into the same error.

[mary-octavia]

I'm trying to use keras_contrib and get the same issue when trying to import their save_load_utils file (which in turn is trying to import saving from keras) @RaphaelMeudec

[fallcat]

@akshitharamachandran Sorry that I forgot to reply. I didn't fix the issue.... I saw https://github.com/NervanaSystems/nlp-architect/issues/4 so it's a problem with NLP Architect, and hopefully they will fix it.

[jemshit]

in pre v2.1.6, it is from keras.models import load_model

[albavilanova]

It is super late but I want to give the solution in case somebody is still looking for it.

I am using Keras (2.1.3) and Tensorflow (1.3.0) and I saw that the developers rewrote the word saving as topology.

Therefore, in order to make it work, you need to modify (in your _model_ file of ...\site-packages\mrcnn) this:

From:

from keras.engine import saving

To:

from keras.engine import topology

And from:

if by_name: saving.load_weights_from_hdf5_group_by_name(f, layers)

else: saving.load_weights_from_hdf5_group(f, layers)

To:

if by_name: topology.load_weights_from_hdf5_group_by_name(f, layers)

else: topology.load_weights_from_hdf5_group(f, layers)