code: def make_module(mod, _module_class, _compilation_unit):
      if isinstance(mod, ScriptModule):
          return mod
      elif torch._jit_internal.module_has_exports(mod):
          infer_methods_stubs_fn = (
              torch.jit._recursive.make_stubs_from_exported_methods
          )
          return torch.jit._recursive.create_script_module(
              mod,
              infer_methods_stubs_fn,
              share_types=False,
              is_tracing=True,
          )
      else:
          if _module_class is None:
              _module_class = TopLevelTracedModule
          return _module_class(mod, _compilation_unit=_compilation_unit)
  
imports: import contextlib
  import copy
  import functools
  import inspect
  import os
  import re
  import warnings
  from typing import Any, Callable, Dict, List, Optional, Set, TypeVar
  from typing_extensions import ParamSpec
  import torch
  from torch._jit_internal import _qualified_name, get_callable_argument_names, is_scripting
  from torch.autograd import function
  from torch.jit._script import _CachedForward, script, ScriptModule
  from torch.jit._state import _enabled, _python_cu
  from torch.nn import Module
  from torch.testing._comparison import default_tolerances
label_desc: Use image node_id 10 for calling a global function with example usage: make_module(mod, _module_class, _compilation_unit) and returns: mod, torch, _module_class