code: def load_audio(path):
      """
      rtype: torch, T x 1
      """
      waveform, sample_rate = torchaudio.load(path, normalize=True)
      return waveform.transpose(1, 0)
  
file_path: audio/examples/avsr/lrs3.py
imports: import os
  import torchaudio
  import torchvision
  from torch.utils.data import Dataset
label_desc: Use image node_id 3 for calling a global function with example usage: load_audio(path) and returns: waveform