Could not interpret optimizer identifier: <keras.src.optimizers.adam.Adam object

[hilmyas]

Issue type

Documentation Bug

Have you reproduced the bug with TensorFlow Nightly?

Yes

Source

source

TensorFlow version

2.16.1

Custom code

No

OS platform and distribution

No response

Mobile device

No response

Python version

No response

Bazel version

No response

GCC/compiler version

No response

CUDA/cuDNN version

No response

GPU model and memory

No response

Current behavior?

Some days ago, I tried to run codes by using Google Colab from a tutorial of transfer learning with movinet without any error. Today, I tried to run codes by using Google Colab from the same tutorial and it produced error when I tried to compile the model.

`num_epochs = 2

loss_obj = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)

optimizer = tf.keras.optimizers.Adam(learning_rate = 0.001)

model.compile(loss=loss_obj, optimizer=optimizer, metrics=['accuracy'])`

Standalone code to reproduce the issue

https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/video/transfer_learning_with_movinet.ipynb#scrollTo=dVqBLrn1tBsd

Relevant log output

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-12-0c295092a661> in <cell line: 7>()
      5 optimizer = tf.keras.optimizers.Adam(learning_rate = 0.001)
      6 
----> 7 model.compile(loss=loss_obj, optimizer=optimizer, metrics=['accuracy'])

/usr/local/lib/python3.10/dist-packages/tf_keras/src/utils/traceback_utils.py in error_handler(*args, **kwargs)
     68             # To get the full stack trace, call:
     69             # `tf.debugging.disable_traceback_filtering()`
---> 70             raise e.with_traceback(filtered_tb) from None
     71         finally:
     72             del filtered_tb

/usr/local/lib/python3.10/dist-packages/tf_keras/src/optimizers/__init__.py in get(identifier, **kwargs)
    333         )
    334     else:
--> 335         raise ValueError(
    336             f"Could not interpret optimizer identifier: {identifier}"
    337         )

ValueError: Could not interpret optimizer identifier: <keras.src.optimizers.adam.Adam object at 0x7af7a01536d0>

[tilakrayal]

@hilmyas,
By default Tensorflow v2.16 uses keras v3.0 which might be the reason for the error you are facing. As the work-around, Could you please try to install keras 2 where the code was executed without any issue/error. Kindly find the gist of it here.

!pip install -U tf_keras # Keras 2
import os
os.environ["TF_USE_LEGACY_KERAS"] = "1"

Thank you!

[hilmyas]

It works. Thanks for your help.

[tilakrayal]

@hilmyas,
Glad the issue is resolved for you, Could you please feel free to move this issue to closed status. Thank you!

[google-ml-butler]

Are you satisfied with the resolution of your issue?
Yes
No