code: def test_vggish():
      input_sr = VGGISH.sample_rate
      input_proc = VGGISH.get_input_processor()
      model = VGGISH.get_model()
      path = torchaudio.utils.download_asset(
          "test-assets/Chopin_Ballade_-1_In_G_Minor,_Op._23_excerpt.mp3"
      )
      waveform, sr = torchaudio.load(path, backend="ffmpeg")
      waveform = waveform.mean(axis=0)
      waveform = torchaudio.functional.resample(waveform, sr, input_sr)
      batch = input_proc(waveform)
      assert batch.shape == (62, 1, 96, 64)
      output = model(batch)
      assert output.shape == (62, 128)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_vggish() without return types