code: def get_tuning_opt(log_file="tuning.log", n_trial=200):
      """Returns tuning options"""
      tuning_opt = {
          "log_filename": log_file,
          "tuner": "random",
          "n_trial": n_trial,
          "early_stopping": 60,
          "measure_option": autotvm.measure_option(
              builder=autotvm.LocalBuilder(timeout=10),
              runner=autotvm.LocalRunner(
                  number=20, repeat=3, timeout=4, min_repeat_ms=150
              ),
          ),
      }
      return tuning_opt
  
imports: import os
  import warnings
  import tvm
  import tvm.testing
  from tvm import relay, autotvm
  from tvm.runtime import load_module
  from tvm.autotvm.tuner import XGBTuner, GATuner, RandomTuner, GridSearchTuner
  from tvm.contrib import graph_executor
  from tvm.contrib.debugger import debug_executor
  from .None import GraphModule
label_desc: Use image node_id 2 for calling a global function with example usage: get_tuning_opt(log_file, n_trial) and returns: tuning_opt