class_docstr: A simple class that summarizes a single tensor. The basic functionality
  of this class is two operations .update and .summary
  
  If possible use `Summarizer` instead.
docstr: Returns:
      Optional[Dict[str, Optional[Tensor]]]
          The cached stat object
docstr_tok: ["Returns",":","Optional","[","Dict","[","str",",","Optional","[","Tensor","]","]","]","The","cached","stat","object"]
code: def summary(self) -> Dict[str, Optional[Tensor]]:
      """
      Returns:
          Optional[Dict[str, Optional[Tensor]]]
              The cached stat object
      """
      return {stat.name: stat.get() for stat in self._summary_stats}
  
file_path: captum/captum/attr/_utils/summarizer.py
imports: from typing import Dict, List, Optional, Tuple, Type, Union
  import torch
  from captum.attr._utils.stat import Count, Max, Mean, Min, MSE, Stat, StdDev, Sum, Var
  from captum.log import log_usage
  from torch import Tensor
label_desc: Use image node_id 4 for calling the SummarizerSingleTensor obj's underlying member method code with example usage: obj.summary() and returns: unknown