def METHOD_NAME(graph, shape_dict=None, *vars):
    with testing.disable_span_filling():
        mod, params = from_tensorflow(graph.as_graph_def(add_shapes=True), shape=shape_dict)
    with testing.enable_span_filling():
        mod_with_span, _ = relay.frontend.from_tensorflow(
            graph.as_graph_def(add_shapes=True), shape=shape_dict
        )
    assert ir.structural_equal(mod["main"], mod_with_span["main"])
    return relay.create_executor("debug", mod=mod).evaluate()(*vars)