keras/src/layers/activations/prelu.py/PReLU/get_config
class PReLU:    def get_config(self):
        config = super().get_config()
        config.update(
            {
                "alpha_initializer": initializers.serialize(
                    self.alpha_initializer
                ),
                "alpha_regularizer": regularizers.serialize(
                    self.alpha_regularizer
                ),
                "alpha_constraint": constraints.serialize(
                    self.alpha_constraint
                ),
                "shared_axes": self.shared_axes,
            }
        )
        return config