code: def test_benchmark_end_to_end_rpc():
      server = rpc.Server("127.0.0.1")
      remote = rpc.connect(server.host, server.port)
  
      mod, params = mlp.get_workload(1)
      lib = relay.build(mod, target="cuda", params=params)
  
      temp = utils.tempdir()
      path = temp.relpath("library.so")
      lib.export_library(path)
      remote.upload(path)
      rlib = remote.load_module("library.so")
  
      dev = remote.device("cuda")
      exe = graph_executor.create(lib.get_graph_json(), rlib, dev)
  
      data = tvm.nd.array(
          np.random.rand(1, 1, 28, 28).astype("float32"), device=dev
      )
      result = exe.benchmark(
          dev,
          data=data,
          func_name="run",
          repeat=2,
          number=1,
          end_to_end=True,
      )
      assert result.mean > 0
      assert len(result.results) == 2
  
imports: import numpy
  import pytest
  from unittest.mock import patch
  import tvm
  import json
  from tvm import relay
  from tvm.contrib import graph_executor
  from tvm.relay.op import add
  import tvm.testing
  from tvm.relay.testing import mlp
  from tvm import rpc
  from tvm.contrib import utils
label_desc: Use image node_id 18 for calling a global function with example usage: test_benchmark_end_to_end_rpc() without return types