code: def _init_combine_layer(self, attr1: str, attr2: str):
      multi_modal_combine_layer = BranchCombineLayer(
          getattr(self, self._get_embeddings_attr(attr1)),
          getattr(self, self._get_embeddings_attr(attr2)),
      )
  
      setattr(
          self,
          attr1 + "_" + attr2 + "_multi_modal_combine_layer",
          multi_modal_combine_layer,
      )
  
imports: import copy
  from typing import Any, Dict, List, Optional, Tuple
  import omegaconf
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.embeddings import PreExtractedEmbedding, TextEmbedding, TwoBranchEmbedding
  from mmf.modules.layers import BranchCombineLayer, ClassifierLayer
  from mmf.utils.build import build_image_encoder
  from mmf.utils.general import filter_grads
  from omegaconf import DictConfig
label_desc: Use image node_id 10 for calling the MoVieMcan obj's underlying member method code with example usage: obj._init_combine_layer(attr1, attr2) without return types