code: def _prepare_decoder_input_ids_for_generation(
      self,
      input_ids: torch.LongTensor,
      decoder_start_token_id,
      bos_token_id: Optional[int] = None,
  ) -> torch.LongTensor:
      decoder_input_ids = (
          torch.ones(
              (input_ids.shape[0], 1),
              dtype=input_ids.dtype,
              device=input_ids.device,
          )
          * decoder_start_token_id
      )
      return decoder_input_ids
  
imports: import copy
  import itertools
  from typing import List, Optional, Tuple
  import torch
  import torch.nn.functional
  from transformers import BartConfig
  from transformers.generation import GenerationMixin
label_desc: Use image node_id 7 for calling the BARTGenerator obj's underlying member method code with example usage: obj._prepare_decoder_input_ids_for_generation(input_ids, decoder_start_token_id, bos_token_id) and returns: decoder_input_ids