code: def forward(self, input_ids, attention_mask):
      return self.encoder(
          input_ids=input_ids,
          attention_mask=attention_mask,
          return_dict=False,
      )
  
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 2 for calling the EncoderForONNX obj's underlying member method code with example usage: obj.forward(input_ids, attention_mask) and returns: self