why implementing the “call” method when subclassing a tf.keras layer(or model) class makes the layer(model) object callable?

Question

When writing customized tf.keras layers, we have to implement the "call" method, since a object of a class can be called like a function with "()&quo

Answer 1

from keras.models import Model
import inspect

inspect.getmro(Model)
# (keras.engine.training.Model, keras.engine.network.Network, keras.engine.layer._Layer)

inspect.getmro(CLS) returns a tuple of class CLS's base classes, including CLS, in method resolution order.

The __call__ method inside Model infact comes from keras.engine.layer._Layer class. You can refer the code here

On line 996, inside __call__ method call_fn is assigned as call & is indeed called on line 979.

So, essentially, in a way I guess, the following holds true -

def __call__(self, input):
    return self.call(input)

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