code: def __getitem__(self, word):
      # Check if mean for word split needs to be done here
      return np.mean(
          [self.model.get_word_vector(w) for w in word.split(" ")],
          axis=0,
      )
  
imports: import logging
  import os
  from collections import defaultdict
  import numpy
  import torch
  from mmf.utils.configuration import get_mmf_cache_dir
  from mmf.utils.distributed import is_main, synchronize
  from mmf.utils.file_io import PathManager
  from mmf.utils.general import get_absolute_path
  from torchtext import vocab
label_desc: Use image node_id 2 for calling the WordToVectorDict obj's underlying member method code with example usage: obj.__getitem__(word) and returns: np