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 __post_init__(self):
      self.node.meta["info"] = self
  
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 2 for calling the NInfo obj's underlying member method code with example usage: obj.__post_init__() without return types