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: Returns:
      int: The current iteration number. When used together with a trainer,
          this is ensured to be the same as trainer.iter.
docstr_tok: ["Returns",":","int",":","The","current","iteration","number",".","When","used","together","with","a","trainer",",","this","is","ensured","to","be","the","same","as","trainer.iter","."]
code: def iter(self):
      """
      Returns:
          int: The current iteration number. When used together with a trainer,
              this is ensured to be the same as trainer.iter.
      """
      return self._iter
  
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 13 for calling the EventStorage obj's underlying member method code with example usage: obj.iter() and returns: self