Traceback (most recent call last):


 "/usr/lib/python2.7/dist-packages/sphinx/ext/autodoc.py", line 665, in import_object

obj = self.get_attr(obj, part)


 "/usr/lib/python2.7/dist-packages/sphinx/ext/autodoc.py", line 554, in get_attr

return safe_getattr(obj, name, *defargs)


 "/usr/lib/python2.7/dist-packages/sphinx/util/inspect.py", line 185, in safe_getattr

raise AttributeError(name)
AttributeError: FuzzLogger


Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "/home/abhishek/PhD/VQA/sentence-transformers-master/sentence_transformers/SentenceTransformer.py", line 171, in encode

for features in iterator:


 "/home/abhishek/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 363, in __next__

data = self._next_data()


 "/home/abhishek/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 403, in _next_data

data = self._dataset_fetcher.fetch(index)
# may raise StopIteration


 "/home/abhishek/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 47, in fetch

return self.collate_fn(data)


 "/home/abhishek/PhD/VQA/sentence-transformers-master/sentence_transformers/SentenceTransformer.py", line 414, in smart_batching_collate_text_only

sentence_features = self.get_sentence_features(text, max_seq_len)


 "/home/abhishek/PhD/VQA/sentence-transformers-master/sentence_transformers/SentenceTransformer.py", line 320, in get_sentence_features

return self._first_module().get_sentence_features(*features)


 "/home/abhishek/PhD/VQA/sentence-transformers-master/sentence_transformers/models/BERT.py", line 66, in get_sentence_features

return self.tokenizer.prepare_for_model(tokens, max_length=pad_seq_length, padding='max_length', return_tensors='pt', truncation=True, prepend_batch_axis=True)
AttributeError: 'BertTokenizer' object has no attribute 'prepare_for_model'
