class_docstr: The user-facing class that provides metric storage functionalities.
  
  In the future we may add support for storing / logging other types of data if needed.
docstr: Delete all the stored histograms for visualization.
  This should be called after histograms are written to tensorboard.
docstr_tok: ["Delete","all","the","stored","histograms","for","visualization",".","This","should","be","called","after","histograms","are","written","to","tensorboard","."]
code: def clear_histograms(self):
      """
      Delete all the stored histograms for visualization.
      This should be called after histograms are written to tensorboard.
      """
      self._histograms = []
  
imports: import datetime
  import json
  import logging
  import os
  import time
  from collections import defaultdict
  from contextlib import contextmanager
  from functools import cached_property
  from typing import Optional
  import torch
  from fvcore.common.history_buffer import HistoryBuffer
  from detectron2.utils.file_io import PathManager
label_desc: Use image node_id 20 for calling the EventStorage obj's underlying member method code with example usage: obj.clear_histograms() without return types