code: def _sort_data_according_length(
      input_ids: Tensor, attention_mask: Tensor
  ) -> Tuple[Tensor, Tensor, Tensor]:
      """Sort tokenized sentence from the shortest to the longest one."""
      sorted_indices = attention_mask.sum(1).argsort()
      input_ids = input_ids[sorted_indices]
      attention_mask = attention_mask[sorted_indices]
      return input_ids, attention_mask, sorted_indices
  
imports: import math
  import os
  from collections import Counter, defaultdict
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Set, Tuple, Union
  import torch
  from torch import Tensor
  from torch.utils.data import DataLoader, Dataset
  from torchmetrics.utilities.data import _cumsum
  from torchmetrics.utilities.imports import _TQDM_AVAILABLE, _TRANSFORMERS_GREATER_EQUAL_4_4
label_desc: Use image node_id 4 for calling a global function with example usage: _sort_data_according_length(input_ids, attention_mask) and returns: input_ids,  attention_mask,  sorted_indices