code: def dump_in_output_file(self, iteration, iter_time, data_time):
      if self.output_file is None or not distributed.is_main_process():
          return
      dict_to_dump = dict(
          iteration=iteration,
          iter_time=iter_time,
          data_time=data_time,
      )
      dict_to_dump.update({k: v.median for k, v in self.meters.items()})
      with open(self.output_file, "a") as f:
          f.write(json.dumps(dict_to_dump) + "\n")
      pass
  
imports: from collections import defaultdict, deque
  import datetime
  import json
  import logging
  import time
  import torch
  import dinov2.distributed
label_desc: Use image node_id 7 for calling the MetricLogger obj's underlying member method code with example usage: obj.dump_in_output_file(iteration, iter_time, data_time) without return types