docs: def batch_decode(self, tensor, lengths, dim=0, *args, **kwargs):
          """
          Args:
              batch (list of :class:`torch.Tensor`): Batch of encoded sequences.
              lengths (list of int): Original lengths of sequences.
              dim (int, optional): Dimension along which to split tensors.
              *args: Arguments passed to ``decode``.
              **kwargs: Key word arguments passed to ``decode``.
  
          Returns:
              list: Batch of decoded sequences.
          """
          return super().batch_decode(
              [t.squeeze(0)[:l] for t, l in zip(tensor.split(1, dim=dim), lengths)])