def METHOD_NAME():
    module_creator = ModuleCreator(
        TSTNetNormal(), [(4, 3, 32, 32), (4, 3, 32, 32)])
    proto_variable_inputs = module_creator.get_proto_variable_inputs()
    outputs = module_creator.module(*proto_variable_inputs)
    g = nn.graph_def.get_default_graph_by_variable(outputs)
    with create_temp_with_dir(nnp_file) as tmp_file:
        g.save(tmp_file)
        another = TSTNetNormal()
        variable_inputs = module_creator.get_variable_inputs()
        outputs = g(*variable_inputs)
        ref_outputs = another(*variable_inputs)
        # Should not equal
        with pytest.raises(AssertionError) as excinfo:
            forward_variable_and_check_equal(outputs, ref_outputs)
        # load to local scope
        with nn.parameter_scope('', another.parameter_scope):
            nn.load_parameters(tmp_file)
        another.update_parameter()
        ref_outputs = another(*variable_inputs)
        forward_variable_and_check_equal(outputs, ref_outputs)