code: def _structure_dkm_config_hook(
      config_dict: _Union[_List[_Dict[str, _Any]], _Dict[str, _Any]],
      type: _Any,
  ):
      if isinstance(config_dict, list):
          return [
              ModuleDKMPalettizerConfig.from_dict(cd)
              for cd in config_dict
          ]
      return ModuleDKMPalettizerConfig.from_dict(config_dict)
  
imports: from collections import OrderedDict
  from typing import Any
  from typing import Callable
  from typing import Dict
  from typing import List
  from typing import NewType
  from typing import Optional
  from typing import Union
  import cattrs
  import torch
  import torch.nn
  from attr import define
  from attr import field
  from attrs import validators
  from coremltools.optimize.torch._utils.torch_utils import maybe_convert_str_to_dtype
  from coremltools.optimize.torch.optimization_config import ModuleOptimizationConfig
  from coremltools.optimize.torch.optimization_config import OptimizationConfig
  from coremltools.optimize.torch.optimization_config import _validate_module_type_keys_factory
label_desc: Use image node_id 2 for calling a global function with example usage: _structure_dkm_config_hook(config_dict, type) and returns: ModuleDKMPalettizerConfig, unknown