code: def process_datapoint(self, item):
      transformed = item[0]
      target = item[2].lower()
  
      transformed = self.transforms(transformed)
      transformed = transformed[0, ...].transpose(0, -1)
  
      target = self.encode(target)
      target = torch.tensor(
          target, dtype=torch.long, device=transformed.device
      )
  
      return transformed, target
  
file_path: audio/examples/pipeline_wav2letter/datasets.py
imports: import torch
  from torchaudio.datasets import LIBRISPEECH
label_desc: Use image node_id 4 for calling the Processed obj's underlying member method code with example usage: obj.process_datapoint(item) and returns: transformed,  target