class_docstr: Helper class for compiling pytorch module to tvm module
code: def tune_tvm(self, log_file="tuning.log", n_trial=200):
      self.tasks = autotvm.task.extract_from_program(
          self.mod["main"],
          target=self.target,
          params=self.params,
      )
      self.log_file = log_file
      tuning_opt = get_tuning_opt(log_file, n_trial)
      tune_tasks(self.tasks, **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 3 for calling the PyTorchTVMModule obj's underlying member method code with example usage: obj.tune_tvm(log_file, n_trial) without return types