code: def named_modules(
      self,
      memo: Optional[Set["Module"]] = None,
      prefix: str = "",
      remove_duplicate: bool = True,
  ):
      if memo is None:
          memo = set()
      if id(self) not in memo:
          if remove_duplicate:
              memo.add(id(self))
          yield prefix, self
          for name, module in self._module_dict.items():
              if module is None:
                  continue
              submodule_prefix = prefix + ("." if prefix else "") + name
              yield from module.named_modules(
                  memo, submodule_prefix, remove_duplicate
              )
  
imports: import ivy
  from collections import OrderedDict
  from typing import Any, Dict, Iterator, List, Optional, Set, Tuple
  from ivy.functional.frontends.torch.nn.parameter import Parameter
  from ivy.functional.frontends.torch.tensor import Tensor
label_desc: Use image node_id 19 for calling the Module obj's underlying member method code with example usage: obj.named_modules(memo, prefix, remove_duplicate) without return types