code: def forward(
      self,
      input_ids,
      attention_mask=None,
      token_type_ids=None,
      position_ids=None,
      head_mask=None,
      start_positions=None,
      end_positions=None,
  ):
      outputs = self.roberta(
          input_ids,
          attention_mask=attention_mask,
          position_ids=position_ids,
          head_mask=head_mask,
      )
      return outputs
  
imports: import torch
  import hydra
  import torch.nn
  import pytorch_lightning
  from omegaconf import DictConfig
  from torchmetrics import F1Score
  from torch.utils.data import Dataset, DataLoader
  from transformers import AutoTokenizer, AdamW, RobertaModel, BertPreTrainedModel, RobertaConfig
  from underthesea import word_tokenize
  from underthesea.datasets.uit_absa_hotel.uit_absa_hotel import UITABSAHotel
label_desc: Use image node_id 2 for calling the RobertaForABSA obj's underlying member method code with example usage: obj.forward(input_ids, attention_mask, token_type_ids, position_ids, head_mask, start_positions, end_positions) and returns: outputs