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

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

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

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

        Returns:
            (tuple): shape of output data
        """
        super(Tree, self).configure(in_obj)
        self.layers[0].configure(in_obj)
        for l in self.layers[1:]:
            l.configure(None)
        self.out_shape = [l.out_shape for l in self.layers]
        return self
def configure ( self , in_obj ) : super ( Tree , self ) . configure ( in_obj ) self . layers [ 0 ] . configure ( in_obj ) for l in self . layers [ 1 : ] : l . configure ( None ) self . out_shape = [ l . out_shape for l in self . layers ] return self