Use @tf.keras.utils.register_keras_serializable?
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Description
IIUC, this avoids the need for our own serializable boilerplate functions which we copied from Keras' functions.
```python
@tf.keras.utils.register_keras_serializable(package='Custom', name='l1')
```
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