code: def process_datapoint(self, item):
      melspec = self.transforms(item[0])
      text_norm = torch.IntTensor(self.text_preprocessor(item[2]))
      return text_norm, torch.squeeze(melspec, 0)
  
imports: from typing import Callable, List, Tuple
  import torch
  from torch import Tensor
  from torch.utils.data.dataset import random_split
  from torchaudio.datasets import LJSPEECH
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: text_norm,  torch