code: def adjust_tensors_for_parallel_(hidden_states, *tensors):
      """
      In-place version of adjust_tensors_for_parallel().
      """
      for tensor in tensors:
          if (
              tensor is not None
              and hidden_states.shape[0] >= tensor.shape[0]
          ):
              repeats = [1] * len(tensor.shape)
              repeats[0] = hidden_states.shape[0] // tensor.shape[0]
              new_tensor = tensor.repeat(*repeats)
              tensor.set_(new_tensor)
  
imports: import itertools
  from collections.abc import Sequence
  from typing import List, Optional, Set, Tuple, Union
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: adjust_tensors_for_parallel_(hidden_states) without return types