code: def forward(self, x):
      x = self.model(
          input_ids=x[0],
          bbox=x[1],
          attention_mask=x[2],
          token_type_ids=x[3],
          image=x[4],
          position_ids=None,
          head_mask=None,
          labels=None,
          entities=x[5],
          relations=x[6],
      )
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from paddle import nn
  from paddlenlp.transformers import LayoutXLMModel, LayoutXLMForTokenClassification, LayoutXLMForRelationExtraction
  from paddlenlp.transformers import LayoutLMModel, LayoutLMForTokenClassification
  from paddlenlp.transformers import LayoutLMv2Model, LayoutLMv2ForTokenClassification, LayoutLMv2ForRelationExtraction
  from paddlenlp.transformers import AutoModel
label_desc: Use image node_id 2 for calling the LayoutLMv2ForRe obj's underlying member method code with example usage: obj.forward(x) and returns: x