class_docstr: Logger for model metrics
class_docstr_tok: ["Logger","for","model","metrics"]
code: def __call__(self):
      self._iter = (self._iter + 1) % self.print_freq
      if not self._iter:
          print(self, flush=True)
  
file_path: audio/examples/pipeline_wavernn/utils.py
imports: import logging
  import os
  import shutil
  from collections import defaultdict, deque
  import torch
label_desc: Use image node_id 5 for calling the MetricLogger obj's underlying member method code with example usage: obj.__call__() without return types