code: def call_module(
      self,
      target: Target,
      args: Tuple[Argument, ...],
      kwargs: Dict[str, Any],
  ) -> Any:
      # Execute the method and return the result
      assert isinstance(target, str)
      submod = self.fetch_attr(target)
      return (
          submod(*args, **kwargs),
          flop_count(submod, *args, **kwargs),
          {k: v for k, v in submod.named_parameters()},
      )
  
imports: from typing import Any, Callable, Dict, List, Tuple, Optional, Union
  from dataclasses import dataclass, field
  import torch
  import torch.fx
  from torch.fx import Interpreter
  from torch.fx.node import Argument, Node
  from .flop_utils import flop_count
label_desc: Use image node_id 4 for calling the GraphCounter obj's underlying member method code with example usage: obj.call_module(target, args, kwargs) and returns: submod,  flop_count,  unknown