(self, in_obj)
return self
Sets shape based parameters of this layer given an input tuple or int
        or input layer

        Arguments:
            in_obj (int, tuple, Layer or Tensor or dataset): object that provides shape
                                                             information for layer

        Returns:
            (tuple): shape of output data
Sets shape based parameters of this layer given an input tuple or int
        or input layer
Sets shape based parameters of this layer given an input tuple or int or input layer
def configure(self, in_obj):
        """
        Sets shape based parameters of this layer given an input tuple or int
        or input layer

        Arguments:
            in_obj (int, tuple, Layer or Tensor or dataset): object that provides shape
                                                             information for layer

        Returns:
            (tuple): shape of output data
        """
        super(Broadcast, self).configure(in_obj)

        # Receiving from single source -- distribute to branches
        for l in self.layers:
            l.configure(in_obj)
        self._configure_merge()
        return self
def configure ( self , in_obj ) : super ( Broadcast , self ) . configure ( in_obj ) # Receiving from single source -- distribute to branches for l in self . layers : l . configure ( in_obj ) self . _configure_merge ( ) return self