106 lines
4.8 KiB
Python
106 lines
4.8 KiB
Python
# coding=utf-8
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# Copyright 2018 The Google AI Language Team Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import unittest
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from transformers import (
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BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
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GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
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AutoTokenizer,
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BertTokenizer,
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BertTokenizerFast,
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GPT2Tokenizer,
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GPT2TokenizerFast,
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RobertaTokenizer,
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RobertaTokenizerFast,
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)
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from transformers.tokenization_auto import TOKENIZER_MAPPING
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from .utils import DUMMY_UNKWOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, slow # noqa: F401
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class AutoTokenizerTest(unittest.TestCase):
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# @slow
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def test_tokenizer_from_pretrained(self):
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logging.basicConfig(level=logging.INFO)
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for model_name in (x for x in BERT_PRETRAINED_CONFIG_ARCHIVE_MAP.keys() if "japanese" not in x):
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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self.assertIsNotNone(tokenizer)
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self.assertIsInstance(tokenizer, (BertTokenizer, BertTokenizerFast))
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self.assertGreater(len(tokenizer), 0)
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for model_name in GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP.keys():
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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self.assertIsNotNone(tokenizer)
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self.assertIsInstance(tokenizer, (GPT2Tokenizer, GPT2TokenizerFast))
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self.assertGreater(len(tokenizer), 0)
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def test_tokenizer_from_pretrained_identifier(self):
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logging.basicConfig(level=logging.INFO)
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tokenizer = AutoTokenizer.from_pretrained(SMALL_MODEL_IDENTIFIER)
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self.assertIsInstance(tokenizer, (BertTokenizer, BertTokenizerFast))
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self.assertEqual(tokenizer.vocab_size, 12)
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def test_tokenizer_from_model_type(self):
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logging.basicConfig(level=logging.INFO)
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tokenizer = AutoTokenizer.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
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self.assertIsInstance(tokenizer, (RobertaTokenizer, RobertaTokenizerFast))
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self.assertEqual(tokenizer.vocab_size, 20)
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def test_tokenizer_identifier_with_correct_config(self):
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logging.basicConfig(level=logging.INFO)
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for tokenizer_class in [BertTokenizer, BertTokenizerFast, AutoTokenizer]:
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tokenizer = tokenizer_class.from_pretrained("wietsedv/bert-base-dutch-cased")
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self.assertIsInstance(tokenizer, (BertTokenizer, BertTokenizerFast))
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if isinstance(tokenizer, BertTokenizer):
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self.assertEqual(tokenizer.basic_tokenizer.do_lower_case, False)
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else:
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self.assertEqual(tokenizer.do_lower_case, False)
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self.assertEqual(tokenizer.max_len, 512)
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def test_tokenizer_identifier_non_existent(self):
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logging.basicConfig(level=logging.INFO)
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for tokenizer_class in [BertTokenizer, BertTokenizerFast, AutoTokenizer]:
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with self.assertRaises(EnvironmentError):
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_ = tokenizer_class.from_pretrained("julien-c/herlolip-not-exists")
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def test_parents_and_children_in_mappings(self):
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# Test that the children are placed before the parents in the mappings, as the `instanceof` will be triggered
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# by the parents and will return the wrong configuration type when using auto models
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mappings = (TOKENIZER_MAPPING,)
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for mapping in mappings:
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mapping = tuple(mapping.items())
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for index, (child_config, (child_model_py, child_model_fast)) in enumerate(mapping[1:]):
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for parent_config, (parent_model_py, parent_model_fast) in mapping[: index + 1]:
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with self.subTest(
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msg="Testing if {} is child of {}".format(child_config.__name__, parent_config.__name__)
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):
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self.assertFalse(issubclass(child_config, parent_config))
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self.assertFalse(issubclass(child_model_py, parent_model_py))
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# Check for Fast tokenizer implementation if provided
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if child_model_fast and parent_model_fast:
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self.assertFalse(issubclass(child_model_fast, parent_model_fast))
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def test_from_pretrained_use_fast_toggle(self):
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self.assertIsInstance(AutoTokenizer.from_pretrained("bert-base-cased"), BertTokenizer)
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self.assertIsInstance(AutoTokenizer.from_pretrained("bert-base-cased", use_fast=True), BertTokenizerFast)
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