code: def __init__(self, name, print_freq=1, disable=False):
      super().__init__(lambda: 0.0)
      self.disable = disable
      self.print_freq = print_freq
      self._iter = 0
      self["name"] = name
  
file_path: audio/examples/pipeline_wav2letter/utils.py
imports: import json
  import logging
  import os
  import shutil
  from collections import defaultdict
  import torch
label_desc: Use image node_id 1 to create a new MetricLogger object from inherited base classes: defaultdict with example: obj = MetricLogger(name, print_freq, disable)