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: Updates the summary of a given tensor `x`
  
  Args:
      x (Tensor):
          The tensor to summarize
docstr_tok: ["Updates","the","summary","of","a","given","tensor","`","x","`","Args",":","x","(","Tensor",")",":","The","tensor","to","summarize"]
code: def update(self, x: Tensor):
      r"""
      Updates the summary of a given tensor `x`
  
      Args:
          x (Tensor):
              The tensor to summarize
      """
      for stat in self._stats:
          stat.update(x)
  
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 2 for calling the SummarizerSingleTensor obj's underlying member method code with example usage: obj.update(x) without return types