Apply the layer on a input. This simply wraps `self.__call__`. Arguments: inputs: Input tensor(s). *args: additional positional arguments to be passed to `self.call`. **kwargs: additional keyword arguments to be passed to `self.call`. Returns: Output tensor(s).
(self, inputs, *args, **kwargs)
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