code: def _init_combine_layer(self, attr1, attr2):
      config_attr = attr1 + "_" + attr2 + "_modal_combine"
  
      multi_modal_combine_layer = ModalCombineLayer(
          self.config[config_attr].type,
          getattr(self, self._get_embeddings_attr(attr1)),
          getattr(self, self._get_embeddings_attr(attr2)),
          **self.config[config_attr].params,
      )
  
      setattr(
          self,
          attr1 + "_" + attr2 + "_multi_modal_combine_layer",
          multi_modal_combine_layer,
      )
  
imports: import copy
  import omegaconf
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.embeddings import ImageFeatureEmbedding, MultiHeadImageFeatureEmbedding, PreExtractedEmbedding, TextEmbedding
  from mmf.modules.layers import ClassifierLayer, ModalCombineLayer
  from mmf.utils.build import build_image_encoder
  from torch import nn
label_desc: Use image node_id 11 for calling the Pythia obj's underlying member method code with example usage: obj._init_combine_layer(attr1, attr2) without return types