class_docstr: Allows measuring model robustness for a given attack or set of attacks. This class
  can be used with any metric(s) as well as any set of attacks, either based on
  attacks / perturbations from captum.robust such as FGSM or PGD or external
  augmentation methods or perturbations such as torchvision transforms.
docstr: Reset stored average summary results for previous batches
docstr_tok: ["Reset","stored","average","summary","results","for","previous","batches"]
code: def reset(self) -> None:
      r"""
      Reset stored average summary results for previous batches
      """
      self.summary_results = {}
  
imports: import warnings
  from collections import namedtuple
  from typing import Any, Callable, cast, Dict, Generic, List, NamedTuple, Optional, Tuple, TypeVar, Union
  from captum._utils.common import _expand_additional_forward_args, _format_additional_forward_args, _reduce_list
  from captum.attr import Max, Mean, Min, Summarizer
  from captum.log import log_usage
  from captum.robust._core.perturbation import Perturbation
  from torch import Tensor
label_desc: Use image node_id 9 for calling the AttackComparator obj's underlying member method code with example usage: obj.reset() without return types