code: def match_attn_matrices_for_parallel(
      query, key, value
  ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]:
      """
      Matches the shapes of query, key and value matrices for parallel composition.
      """
      max_bsz = max(query.shape[0], key.shape[0], value.shape[0])
  
      query = query.repeat(
          max_bsz // query.shape[0], *([1] * len(query.shape[1:]))
      )
      key = key.repeat(
          max_bsz // key.shape[0], *([1] * len(key.shape[1:]))
      )
      value = value.repeat(
          max_bsz // value.shape[0], *([1] * len(value.shape[1:]))
      )
  
      return query, key, value
  
imports: import itertools
  from collections.abc import Sequence
  from typing import List, Optional, Set, Tuple, Union
  import torch
label_desc: Use image node_id 6 for calling a global function with example usage: match_attn_matrices_for_parallel(query, key, value) and returns: query,  key,  value