class_docstr: The base class to store all profiling and static graph analysis information
  needed for a ``Node`` in FX.Graph
class_docstr_tok: ["The","base","class","to","store","all","profiling","and","static","graph","analysis","information","needed","for","a","``","Node","``","in","FX.Graph"]
code: def param_size(self) -> int:
      return compute_size_in_bytes(self.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 3 for calling the NInfo obj's underlying member method code with example usage: obj.param_size() and returns: compute_size_in_bytes