code: def get_target_layer(
      model: Module, layer_name: Union[str, List[str]]
  ) -> Union[Module, List[Module]]:
      if isinstance(layer_name, str):
          return _get_deep_layer_name(model, layer_name)
      else:
          return [
              _get_deep_layer_name(model, single_layer_name)
              for single_layer_name in layer_name
          ]
  
file_path: captum/tests/attr/helpers/gen_test_utils.py
imports: import typing
  from typing import Any, cast, Dict, List, Tuple, Type, Union
  from captum.attr._core.lime import Lime
  from captum.attr._models.base import _get_deep_layer_name
  from captum.attr._utils.attribution import Attribution
  from torch.nn import Module
label_desc: Use image node_id 6 for calling a global function with example usage: get_target_layer(model, layer_name) and returns: _get_deep_layer_name, unknown