def METHOD_NAME(network, target):
    net, params, input_shape, output_shape = get_network(network, batch_size=1)
    with tvm.transform.PassContext(opt_level=3):
        lib = relay.build(net, target=target, params=params)
    # create runtime
    dev = tvm.device(str(target), 0)
    module = runtime.GraphModule(lib["default"](dev))
    data_tvm = tvm.nd.array((np.random.uniform(size=input_shape)).astype(dtype))
    module.set_input("data", data_tvm)
    # evaluate
    ftimer = module.module.time_evaluator("run", dev, number=1, repeat=args.repeat)
    prof_res = np.array(ftimer().results) * 1000  # multiply 1000 for converting to millisecond
    print(
        "%-20s %-19s (%s)" % (network, "%.2f ms" % np.mean(prof_res), "%.2f ms" % np.std(prof_res))
    )