class_docstr: Statistic tracking only the number of samples.
  
  For example::
  
      >>> stats = CountStats()
      >>> stats.update(torch.randn(3, 3))
      >>> stats.get()
      {'count': 1}
docstr: :returns: A dictionary with keys ``count: int``.
  :rtype: dict
docstr_tok: [":","returns",":","A","dictionary","with","keys","``","count",":","int","``",".",":","rtype",":","dict"]
code: def get(self) -> Dict[str, int]:
      """
      :returns: A dictionary with keys ``count: int``.
      :rtype: dict
      """
      return {"count": self.count}
  
imports: import copy
  from abc import ABC, abstractmethod
  from collections import defaultdict
  from typing import Any, Callable, Dict, Hashable, Union
  import torch
  from pyro.ops.welford import WelfordCovariance
label_desc: Use image node_id 4 for calling the CountStats obj's underlying member method code with example usage: obj.get() and returns: dict