code: def _is_sequence_finished(unfinished_sequences: torch.Tensor) -> bool:
      if dist.is_initialized() and dist.get_world_size() > 1:
          # consider DP
          unfinished_sequences = unfinished_sequences.clone()
          dist.all_reduce(unfinished_sequences)
      return unfinished_sequences.max() == 0
  
imports: import json
  import re
  from threading import Lock
  from typing import Any, Callable, Generator, List, Optional
  import jieba
  import torch
  import torch.distributed
  import torch.nn
  from pydantic import BaseModel, Field
label_desc: Use image node_id 2 for calling a global function with example usage: _is_sequence_finished(unfinished_sequences) and returns: unknown