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Python 2 compatibility

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LysandreJik 2019-09-19 15:01:33 +02:00
parent 3df208c93a
commit ab984a8b72
1 changed files with 7 additions and 7 deletions
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14
pytorch_transformers/tokenization_utils.py
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@ -707,14 +707,14 @@ class PreTrainedTokenizer(object):
"""
if text_pair is None:
if add_special_tokens:
sequence_tokens = self.convert_tokens_to_ids(self.tokenize(text, **kwargs)) if isinstance(text, str) else text
sequence_tokens = self.convert_tokens_to_ids(self.tokenize(text, **kwargs)) if isinstance(text, six.string_types) else text
return self.add_special_tokens_single_sequence(sequence_tokens)
else:
ids = self.convert_tokens_to_ids(self.tokenize(text, **kwargs)) if isinstance(text, str) else text
ids = self.convert_tokens_to_ids(self.tokenize(text, **kwargs)) if isinstance(text, six.string_types) else text
return ids
first_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text, **kwargs)] if isinstance(text, str) else text
second_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text_pair, **kwargs)] if isinstance(text_pair, str) else text_pair
first_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text, **kwargs)] if isinstance(text, six.string_types) else text
second_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text_pair, **kwargs)] if isinstance(text_pair, six.string_types) else text_pair
if add_special_tokens:
return self.add_special_tokens_sequence_pair(first_sentence_tokens, second_sentence_tokens)
@ -754,7 +754,7 @@ class PreTrainedTokenizer(object):
information = {}
if text_pair is None:
sequence_tokens = self.convert_tokens_to_ids(self.tokenize(text, **kwargs)) if isinstance(text, str) else text
sequence_tokens = self.convert_tokens_to_ids(self.tokenize(text, **kwargs)) if isinstance(text, six.string_types) else text
if add_special_tokens:
information = self.prepare_for_model(sequence_tokens, max_length, stride)
else:
@ -766,8 +766,8 @@ class PreTrainedTokenizer(object):
if output_mask:
information["mask"] = [0] * len(information["sequence"])
else:
first_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text, **kwargs)] if isinstance(text, str) else text
second_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text_pair, **kwargs)] if isinstance(text_pair, str) else text_pair
first_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text, **kwargs)] if isinstance(text, six.string_types) else text
second_sentence_tokens = [self._convert_token_to_id(token) for token in self.tokenize(text_pair, **kwargs)] if isinstance(text_pair, six.string_types) else text_pair
if add_special_tokens:
information = self.prepare_pair_for_model(