code: def get_w2v(self, word_dict):
      assert hasattr(self, "w2v_path"), "w2v path not set"
      # create word_vec with w2v vectors
      word_vec = {}
      with open(self.w2v_path, encoding="utf-8") as f:
          for line in f:
              word, vec = line.split(" ", 1)
              if word in word_dict:
                  word_vec[word] = np.fromstring(vec, sep=" ")
      print(
          "Found %s(/%s) words with w2v vectors"
          % (len(word_vec), len(word_dict))
      )
      return word_vec
  
imports: import time
  import numpy
  import torch
  from torch import nn
  import textattack
label_desc: Use image node_id 6 for calling the InferSentModel obj's underlying member method code with example usage: obj.get_w2v(word_dict) and returns: word_vec