code: def numericalize(self, arr, device=None):
      feats, weights, lengths = arr
      weights = torch.tensor(weights, dtype=torch.float, device=device)
      lengths = torch.tensor(lengths, dtype=torch.long, device=device)
      feats = [[self.vocab.stoi[x] for x in ex] for ex in feats]
      feats = torch.tensor(feats, dtype=self.dtype, device=device)
      if not self.batch_first:
          arr.t_()
          weights.t_()
      feats = feats.contiguous()
      return feats, weights, lengths
  
file_path: pytext/pytext/fields/dict_field.py
imports: from collections import Counter
  from typing import List, Tuple
  import torch
  from pytext.common.constants import VocabMeta
  from pytext.legacy import data, vocab
  from pytext.utils.data import no_tokenize
  from .field import VocabUsingField
label_desc: Use image node_id 4 for calling the DictFeatureField obj's underlying member method code with example usage: obj.numericalize(arr, device) and returns: feats,  weights,  lengths