code: def get_mapping(self):
      mapping = [
          "word_embedding",
          "image_feature_embeddings_list_sga",
          "image_feature_embeddings_list_sga_pool",
          "image_feature_embeddings_list_cbn",
          "text_embeddings",
          "combine_layer",
          "classifier",
          "image_feature_encoders",
      ]
      return mapping
  
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 14 for calling the MoVieMcan obj's underlying member method code with example usage: obj.get_mapping() and returns: mapping