code: def _init_sequence_length_for_generation(
      input_ids: torch.LongTensor, max_length: int
  ) -> Tuple[torch.Tensor, torch.Tensor, int]:
      unfinished_sequences = (
          torch.zeros(
              input_ids.shape[0],
              dtype=torch.long,
              device=input_ids.device,
          )
          + 1
      )
      sequence_lengths = (
          torch.zeros(
              input_ids.shape[0],
              dtype=torch.long,
              device=input_ids.device,
          )
          + max_length
      )
  
      cur_len = input_ids.shape[-1]
      return sequence_lengths, unfinished_sequences, cur_len
  
imports: import copy
  import itertools
  from typing import List, Optional, Tuple
  import torch
  import torch.nn.functional
  from transformers import BartConfig
  from transformers.generation_utils import GenerationMixin
label_desc: Use image node_id 4 for calling the BARTGenerator obj's underlying member method code with example usage: obj._init_sequence_length_for_generation(input_ids, max_length) and returns: sequence_lengths,  unfinished_sequences,  cur_len