code: def _reorder_cache(past_key_values, beam_idx):
      reordered_past = ()
      for layer_past in past_key_values:
          reordered_past += (
              tuple(
                  past_state.index_select(0, beam_idx)
                  for past_state in layer_past
              ),
          )
      return reordered_past
  
imports: from .configuration_baichuan import BaiChuanConfig
  from transformers import PreTrainedModel, add_start_docstrings
  from transformers.activations import ACT2FN
  from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast, SequenceClassifierOutputWithPast
  from transformers.utils import logging, add_start_docstrings_to_model_forward, replace_return_docstrings
  import math
  from typing import List, Optional, Tuple, Union
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
label_desc: Use image node_id 10 for calling the BaiChuanForCausalLM obj's underlying member method code with example usage: obj._reorder_cache(past_key_values, beam_idx) and returns: reordered_past