AttributeError: 'types.SimpleNamespace' object has no attribute 'get_registered_object' from return keras.saving.get_registered_object(config["registered_name"]) in keras_nlp\src\utils\preset_utils.py

[jsplyy]

want to run the demo in the local by following the getting started guide
and config the kaggle API credentials with this doc
but get error when run the setup 5:
`import keras
import keras_nlp
import os

os.environ["KERAS_BACKEND"] = "jax"

gemma_lm = keras_nlp.models.GemmaCausalLM.from_preset("gemma_2b_en")`

what is the reason for this ? and how to fix that ?

[SuryanarayanaY]

Hi @jsplyy ,

It seems to be version issue for me. Could you please confirm the keras_nlp and keras version being used ? Please install latest versions of both and let us know the outcome. Thanks!

[jsplyy]

Hi @SuryanarayanaY
I am using,
Name: keras-nlp
Version: 0.9.1
https://pypi.org/project/keras-nlp/
Name: keras
Version: 2.10.0

try to update keras with command: pip upgrade keras
it will be updated to 3.1.1,

but when try to update keras_nlp with command: pip install --upgrade keras_nlp
keras-2.10.0 will be installed again.
keras_nlp seems to depends on and install 2.10.0 keras?

I checked the keras-nlp doc https://github.com/keras-team/keras-nlp/tree/master
it documented that both keras2 and keras3 are supported.

Which version should I install ?

[SuryanarayanaY]

keras_nlp seems to depends on and install 2.10.0 keras?

Hi @jsplyy ,

No, it don't have any dependency on Keras 2.10.0 . Please ensure all the dependencies in requirements.txt installed. Keras_nlp needs Tensorflow also. May be you might have TF2.10v which might be reason for this behaviour.

[dongex]

I also faced the same error and I have installed Tensorflow