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