code: def forward(
      self,
      input_ids,
      attention_mask,
      max_length,
      decoder_start_token_id,
  ):
      pad_token_id = self.config.pad_token_id
      bos_token_id = self.config.bos_token_id
      eos_token_id = self.config.eos_token_id
  
      # special case if pad_token_id is not defined
      if pad_token_id is None and eos_token_id is not None:
          # Setting `pad_token_id` to `eos_token_id`:{eos_token_id} for open-end generation.
          pad_token_id = eos_token_id
  
      encoder_output = self._encoder_forward(input_ids, attention_mask)
  
      input_ids = self._prepare_decoder_input_ids_for_generation(
          input_ids,
          decoder_start_token_id=decoder_start_token_id,
          bos_token_id=bos_token_id,
      )
  
      return self.greedy_search(
          input_ids,
          encoder_output,
          attention_mask,
          max_length=max_length,
          pad_token_id=pad_token_id,
          eos_token_id=eos_token_id,
      )
  
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 8 for calling the BARTGenerator obj's underlying member method code with example usage: obj.forward(input_ids, attention_mask, max_length, decoder_start_token_id) and returns: self