(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): 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): object that provides shape
                                                  information for layer

        Returns:
            (tuple): shape of output data
        """
        if hasattr(self, 'in_shape') and in_obj is None:
            return self  # previously configured, so just return
        super(BranchNode, self).configure(in_obj)
        self.out_shape = self.in_shape
        return self
def configure ( self , in_obj ) : if hasattr ( self , 'in_shape' ) and in_obj is None : return self # previously configured, so just return super ( BranchNode , self ) . configure ( in_obj ) self . out_shape = self . in_shape return self