code: def _named_modules_with_duplicates(module, prefix=""):
      """Version of torch.nn.Module.named_modules() that includes duplicate modules"""
      yield prefix, module
      for name, submodule in module._modules.items():
          if submodule is None:
              continue
          submodule_prefix = prefix + ("." if prefix else "") + name
          for m in _named_modules_with_duplicates(
              submodule, submodule_prefix
          ):
              yield m
  
imports: from .None import distiller
  import re
  import numpy
  import collections
  import torch
  import torch.nn
  import torch.jit
  import logging
  from collections import OrderedDict, defaultdict
  from collections.abc import MutableSequence, Iterable
label_desc: Use image node_id 3 for calling a global function with example usage: _named_modules_with_duplicates(module, prefix) without return types