code: def process(self, batch, device=None):
          
          padded = self.pad(batch)
          tensor = self.numericalize(padded, device=device)
          return tensor
docs: Process a list of examples to create a torch.Tensor.
  
          Pad, numericalize, and postprocess a batch and create a tensor.
  
          Args:
              batch (list(object)): A list of object from a batch of examples.
          Returns:
              torch.autograd.Variable: Processed object given the input
              and custom postprocessing Pipeline.