code: def counter_pass(
      module: torch.fx.GraphModule, *args, verbose=False, by_type=False
  ) -> Dict[str, Dict[str, Union[int, None]]]:
      """A pass that counts the number of FLOPs and parameters in a model.
  
      Parameters
      ----------
      module: torch.fx.GraphModule
          The module to be profiled.
  
      verbose: bool
          Whether to print the summary of the profiled statistics. Default: False.
  
      Returns
      -------
      dictionary: A dictionary that contains the profiled statistics.
      """
      interp = GraphCounter(module)
      interp.run(*args)
      if verbose:
          print(interp.summarize())
      return interp.as_dict(by_type)
  
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 a global function with example usage: counter_pass(module) and returns: interp