code: def _synchronize(self):
      torch.cuda.synchronize()
      for k in self.keys:
          starts = self.start_events[k]
          ends = self.end_events[k]
          if len(starts) == 0:
              raise ValueError("Trying to divide by zero in TimeMeter")
          if len(ends) != len(starts):
              raise ValueError("Call stop before checking value!")
          time = 0
          for start, end in zip(starts, ends):
              time += start.elapsed_time(end)
          self.running_times[k] += time * 1e-3
          self.n[k] += len(starts)
      self.start_events = collections.defaultdict(list)
      self.end_events = collections.defaultdict(list)
  
imports: import collections
  import io
  import json
  import librosa
  import numpy
  import soundfile
  import time
  import torch
  from scipy.io.wavfile import read
  from .text import SOS_TOK, EOS_TOK
label_desc: Use image node_id 6 for calling the CudaTimer obj's underlying member method code with example usage: obj._synchronize() without return types