code: def combine_embeddings(self, *args):
      feature_names = args[0]
      v1, v2, q = args[1]
  
      layer = "_".join(feature_names) + "_multi_modal_combine_layer"
      return getattr(self, layer)(v1, v2, q)
  
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 18 for calling the MoVieMcan obj's underlying member method code with example usage: obj.combine_embeddings() and returns: getattr