code: def reshape_word_features(word_features):
      r"""
       Creates one-sample batch for word features for sanity check purposes
  
      Args
  
          word_features: A tensor of diemnsions #words x #embeddings
  
      Return
  
          word_features: A tensor of dimensions 1 x #words x #embeddings
  
      """
      return word_features.unsqueeze(0)
  
imports: from collections import defaultdict
  import torch
  from pytext.models.embeddings.dict_embedding import DictEmbedding
  from pytext.models.embeddings.word_embedding import WordEmbedding
  from pytext.models.model import EmbeddingBase, EmbeddingList
label_desc: Use image node_id 3 for calling a global function with example usage: reshape_word_features(word_features) and returns: word_features