def reconstruct(self, t:Tensor, x:Tensor=None):
        "Reconstruct one of the underlying item for its data `t`."
        return self[0].reconstruct(t,x) if has_arg(self[0].reconstruct, 'x') else self[0].reconstruct(t)
def reconstruct ( self , t : Tensor , x : Tensor = None ) : return self [ 0 ] . reconstruct ( t , x ) if has_arg ( self [ 0 ] . reconstruct , 'x' ) else self [ 0 ] . reconstruct ( t )
Reconstruct one of the underlying item for its data `t`.