transformers
179 строк · 7.3 Кб
1# Copyright 2022 The HuggingFace Team. All rights reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14
15import shutil16import tempfile17import unittest18
19import pytest20
21from transformers import WhisperTokenizer, is_speech_available22from transformers.testing_utils import require_sentencepiece, require_torch, require_torchaudio23
24from .test_feature_extraction_whisper import floats_list25
26
27if is_speech_available():28from transformers import WhisperFeatureExtractor, WhisperProcessor29
30
31TRANSCRIBE = 5035832NOTIMESTAMPS = 5036233
34
35@require_torch
36@require_torchaudio
37@require_sentencepiece
38class WhisperProcessorTest(unittest.TestCase):39def setUp(self):40self.checkpoint = "openai/whisper-small.en"41self.tmpdirname = tempfile.mkdtemp()42
43def get_tokenizer(self, **kwargs):44return WhisperTokenizer.from_pretrained(self.checkpoint, **kwargs)45
46def get_feature_extractor(self, **kwargs):47return WhisperFeatureExtractor.from_pretrained(self.checkpoint, **kwargs)48
49def tearDown(self):50shutil.rmtree(self.tmpdirname)51
52def test_save_load_pretrained_default(self):53tokenizer = self.get_tokenizer()54feature_extractor = self.get_feature_extractor()55
56processor = WhisperProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)57
58processor.save_pretrained(self.tmpdirname)59processor = WhisperProcessor.from_pretrained(self.tmpdirname)60
61self.assertEqual(processor.tokenizer.get_vocab(), tokenizer.get_vocab())62self.assertIsInstance(processor.tokenizer, WhisperTokenizer)63
64self.assertEqual(processor.feature_extractor.to_json_string(), feature_extractor.to_json_string())65self.assertIsInstance(processor.feature_extractor, WhisperFeatureExtractor)66
67def test_save_load_pretrained_additional_features(self):68processor = WhisperProcessor(tokenizer=self.get_tokenizer(), feature_extractor=self.get_feature_extractor())69processor.save_pretrained(self.tmpdirname)70
71tokenizer_add_kwargs = self.get_tokenizer(bos_token="(BOS)", eos_token="(EOS)")72feature_extractor_add_kwargs = self.get_feature_extractor(do_normalize=False, padding_value=1.0)73
74processor = WhisperProcessor.from_pretrained(75self.tmpdirname, bos_token="(BOS)", eos_token="(EOS)", do_normalize=False, padding_value=1.076)77
78self.assertEqual(processor.tokenizer.get_vocab(), tokenizer_add_kwargs.get_vocab())79self.assertIsInstance(processor.tokenizer, WhisperTokenizer)80
81self.assertEqual(processor.feature_extractor.to_json_string(), feature_extractor_add_kwargs.to_json_string())82self.assertIsInstance(processor.feature_extractor, WhisperFeatureExtractor)83
84def test_feature_extractor(self):85feature_extractor = self.get_feature_extractor()86tokenizer = self.get_tokenizer()87
88processor = WhisperProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)89
90raw_speech = floats_list((3, 1000))91
92input_feat_extract = feature_extractor(raw_speech, return_tensors="np")93input_processor = processor(raw_speech, return_tensors="np")94
95for key in input_feat_extract.keys():96self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)97
98def test_tokenizer(self):99feature_extractor = self.get_feature_extractor()100tokenizer = self.get_tokenizer()101
102processor = WhisperProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)103
104input_str = "This is a test string"105
106encoded_processor = processor(text=input_str)107
108encoded_tok = tokenizer(input_str)109
110for key in encoded_tok.keys():111self.assertListEqual(encoded_tok[key], encoded_processor[key])112
113def test_tokenizer_decode(self):114feature_extractor = self.get_feature_extractor()115tokenizer = self.get_tokenizer()116
117processor = WhisperProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)118
119predicted_ids = [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]120
121decoded_processor = processor.batch_decode(predicted_ids)122decoded_tok = tokenizer.batch_decode(predicted_ids)123
124self.assertListEqual(decoded_tok, decoded_processor)125
126def test_model_input_names(self):127feature_extractor = self.get_feature_extractor()128tokenizer = self.get_tokenizer()129
130processor = WhisperProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)131
132self.assertListEqual(133processor.model_input_names,134feature_extractor.model_input_names,135msg="`processor` and `feature_extractor` model input names do not match",136)137
138def test_get_decoder_prompt_ids(self):139feature_extractor = self.get_feature_extractor()140tokenizer = self.get_tokenizer()141
142processor = WhisperProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)143forced_decoder_ids = processor.get_decoder_prompt_ids(task="transcribe", no_timestamps=True)144
145self.assertIsInstance(forced_decoder_ids, list)146for ids in forced_decoder_ids:147self.assertIsInstance(ids, (list, tuple))148
149expected_ids = [TRANSCRIBE, NOTIMESTAMPS]150self.assertListEqual([ids[-1] for ids in forced_decoder_ids], expected_ids)151
152def test_get_prompt_ids(self):153processor = WhisperProcessor(tokenizer=self.get_tokenizer(), feature_extractor=self.get_feature_extractor())154prompt_ids = processor.get_prompt_ids("Mr. Quilter")155decoded_prompt = processor.tokenizer.decode(prompt_ids)156
157self.assertListEqual(prompt_ids.tolist(), [50360, 1770, 13, 2264, 346, 353])158self.assertEqual(decoded_prompt, "<|startofprev|> Mr. Quilter")159
160def test_empty_get_prompt_ids(self):161processor = WhisperProcessor(tokenizer=self.get_tokenizer(), feature_extractor=self.get_feature_extractor())162prompt_ids = processor.get_prompt_ids("")163decoded_prompt = processor.tokenizer.decode(prompt_ids)164
165self.assertListEqual(prompt_ids.tolist(), [50360, 220])166self.assertEqual(decoded_prompt, "<|startofprev|> ")167
168def test_get_prompt_ids_with_special_tokens(self):169processor = WhisperProcessor(tokenizer=self.get_tokenizer(), feature_extractor=self.get_feature_extractor())170
171def _test_prompt_error_raised_helper(prompt, special_token):172with pytest.raises(ValueError) as excinfo:173processor.get_prompt_ids(prompt)174expected = f"Encountered text in the prompt corresponding to disallowed special token: {special_token}."175self.assertEqual(expected, str(excinfo.value))176
177_test_prompt_error_raised_helper("<|startofprev|> test", "<|startofprev|>")178_test_prompt_error_raised_helper("test <|notimestamps|>", "<|notimestamps|>")179_test_prompt_error_raised_helper("test <|zh|> test <|transcribe|>", "<|zh|>")180