code: def compile_and_benchmark(label, model, targets, tmp_dir):
      """Compile model for target and run it with profiling."""
      logging.info(
          f"Compiling {model['name']} using {label} with {targets}..."
      )
      mod = model["mod"]
      mod = clml.preprocess_for_clml(mod)
      exe = tvm.relay.vm.compile(
          mod, target=targets, params=model["params"]
      )
      lib = exe.mod
      lib_path = os.path.join(tmp_dir, "lib.so")
      logging.info(f"Exporting library to {lib_path}...")
      lib.export_library(lib_path, cc=NDK_CROSS_COMPILER)
      tracker = rpc.connect_tracker(RPC_TRACKER_HOST, RPC_TRACKER_PORT)
      remote = tracker.request(RPC_KEY, priority=0, session_timeout=600)
      ctx = remote.cl(0)
      remote_path = "lib.so"
      remote.upload(lib_path, target=remote_path)
      lib = remote.load_module(remote_path)
      vm_factory = tvm.runtime.vm.VirtualMachine(lib, ctx)
      args = {
          v.name_hint: arg_for(v.checked_type, ctx)
          for v in mod["main"].params
      }
      logging.info(
          f"Benchmarking for {model['name']} generated by {label}..."
      )
      profile = vm_factory.benchmark(
          ctx,
          repeat=MEASURE_REPEAT,
          number=MEASURE_NUMBER,
          min_repeat_ms=0,
          **args,
      )
      logging.info(
          f"Benchmarked for {model['name']} generated by {label}: {profile}"
      )
      logging.info(
          f"RESULT: {label} | {model['name']} | {profile.median * 1e3}ms"
      )
  
imports: import tvm
  import logging
  import tempfile
  import os
  import shutil
  import numpy
  from tvm.relay import testing
  from tvm import rpc
  from tvm.contrib import utils, ndk
  from tvm.relay.build_module import bind_params_by_name
  from tvm.relay.collage.collage import *
  from tvm.relay.op.contrib import clml
  import pytest
label_desc: Use image node_id 6 for calling a global function with example usage: compile_and_benchmark(label, model, targets, tmp_dir) without return types