尝试运行一个训练脚本，解决了一些错误消息后，我遇到了这个，有人知道这里发生了什么吗？

Batch size > 1 not implemented! Falling back to batch_size = 1 ...
Building multi-modal model...
Loading model parameters.
Traceback (most recent call last):
  File "translate_mm.py", line 166, in <module>
    main()
  File "translate_mm.py", line 98, in main
    use_filter_pred=False)
  File "/content/drive/My Drive/Thesis/thesis_code/onmt/io/IO.py", line 198, in build_dataset
    use_filter_pred=use_filter_pred)
  File "/content/drive/My Drive/Thesis/thesis_code/onmt/io/TextDataset.py", line 75, in __init__
    out_examples = list(out_examples)
  File "/content/drive/My Drive/Thesis/thesis_code/onmt/io/TextDataset.py", line 69, in <genexpr>
    out_examples = (self._construct_example_fromlist(
  File "/content/drive/My Drive/Thesis/thesis_code/onmt/io/TextDataset.py", line 68, in <genexpr>
    example_values = ([ex[k] for k in keys] for ex in examples_iter)
  File "/content/drive/My Drive/Thesis/thesis_code/onmt/io/TextDataset.py", line 265, in _dynamic_dict
    src_map = torch.LongTensor([src_vocab.stoi[w] for w in src])
  File "/content/drive/My Drive/Thesis/thesis_code/onmt/io/TextDataset.py", line 265, in <listcomp>
    src_map = torch.LongTensor([src_vocab.stoi[w] for w in src])
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1178, in __getattr__
    type(self).__name__, name))
AttributeError: 'Vocab' object has no attribute 'stoi'

它是指

def _dynamic_dict(self, examples_iter):
        for example in examples_iter:
            src = example["src"]
            src_vocab = torchtext.vocab.Vocab(Counter(src))
            self.src_vocabs.append(src_vocab)
            # Mapping source tokens to indices in the dynamic dict.
            src_map = torch.LongTensor([src_vocab.stoi[w] for w in src])
            example["src_map"] = src_map

            if "tgt" in example:
                tgt = example["tgt"]
                mask = torch.LongTensor(
                        [0] + [src_vocab.stoi[w] for w in tgt] + [0])
                example["alignment"] = mask
            yield example

注意：原来的模型是用一个老得多的版本torchtext，我猜错误是与此有关，但我只是太缺乏经验，不能肯定。
有人有主意吗？谷歌搜索没有提供任何显著的结果。
你好。