code: def show_multi(configs):
      results = []
      for config in configs:
          effector = AudioEffector(**config)
          results.append(effector.apply(waveform, int(sr)))
  
      num_configs = len(configs)
      figsize = (6.4, 0.3 + num_configs * 0.9)
      f, axes = plt.subplots(
          num_configs, 1, figsize=figsize, sharex=True
      )
      for result, ax in zip(results, axes):
          ax.specgram(result[:, 0], Fs=sr)
      f.set_tight_layout(True)
  
      return [Audio(r.numpy().T, rate=sr) for r in results]
  
imports: import torch
  import torchaudio
  from torchaudio.io import AudioEffector, CodecConfig
  import matplotlib.pyplot
  from IPython.display import Audio
label_desc: Use image node_id 2 for calling a global function with example usage: show_multi(configs) and returns: unknown