code: def call(
      self, wrapped_model: Module, origin2wrapped_name_map: Dict | None
  ) -> Optimizer:
      args = deepcopy(self.args)
      kwargs = deepcopy(self.kwargs)
  
      if "params" in kwargs:
          kwargs["params"] = self.names2params(
              wrapped_model, origin2wrapped_name_map, kwargs["params"]
          )
      else:
          args[0] = self.names2params(
              wrapped_model, origin2wrapped_name_map, args[0]
          )
  
      return self.callable_obj(*args, **kwargs)
  
imports: from __future__ import annotations
  from copy import deepcopy
  from typing import Callable, Dict, List, Type
  from torch import Tensor
  from torch.nn import Module
  from torch.optim import Optimizer
  from nni.common.serializer import is_traceable
  from nni.common.types import SCHEDULER
label_desc: Use image node_id 4 for calling the OptimizerConstructHelper obj's underlying member method code with example usage: obj.call(wrapped_model, origin2wrapped_name_map) and returns: self