code: def _create_traced_encoder(encoder, input_ids, attention_mask):
      encoder_c = copy.deepcopy(encoder)
      encoder_for_onnx = EncoderForONNX(encoder_c)
  
      return torch.jit.trace(
          encoder_for_onnx, (input_ids, attention_mask)
      )
  
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 2 for calling a global function with example usage: _create_traced_encoder(encoder, input_ids, attention_mask) and returns: torch