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- # Copyright (c) Alibaba, Inc. and its affiliates.
- import shutil
- import unittest
-
- from modelscope.hub.snapshot_download import snapshot_download
- from modelscope.models import Model
- from modelscope.models.nlp import SbertForSentenceSimilarity
- from modelscope.pipelines import pipeline
- from modelscope.pipelines.nlp import SentenceSimilarityPipeline
- from modelscope.preprocessors import SentenceSimilarityPreprocessor
- from modelscope.utils.constant import Tasks
- from modelscope.utils.test_utils import test_level
-
-
- class SentenceSimilarityTest(unittest.TestCase):
- model_id = 'damo/nlp_structbert_sentence-similarity_chinese-base'
- sentence1 = '今天气温比昨天高么?'
- sentence2 = '今天湿度比昨天高么?'
-
- @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
- def test_run(self):
- cache_path = snapshot_download(self.model_id)
- tokenizer = SentenceSimilarityPreprocessor(cache_path)
- model = SbertForSentenceSimilarity(cache_path, tokenizer=tokenizer)
- pipeline1 = SentenceSimilarityPipeline(model, preprocessor=tokenizer)
- pipeline2 = pipeline(
- Tasks.sentence_similarity, model=model, preprocessor=tokenizer)
- print('test1')
- print(f'sentence1: {self.sentence1}\nsentence2: {self.sentence2}\n'
- f'pipeline1:{pipeline1(input=(self.sentence1, self.sentence2))}')
- print()
- print(
- f'sentence1: {self.sentence1}\nsentence2: {self.sentence2}\n'
- f'pipeline1: {pipeline2(input=(self.sentence1, self.sentence2))}')
-
- @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
- def test_run_with_model_from_modelhub(self):
- model = Model.from_pretrained(self.model_id)
- tokenizer = SentenceSimilarityPreprocessor(model.model_dir)
- pipeline_ins = pipeline(
- task=Tasks.sentence_similarity,
- model=model,
- preprocessor=tokenizer)
- print(pipeline_ins(input=(self.sentence1, self.sentence2)))
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_run_with_model_name(self):
- pipeline_ins = pipeline(
- task=Tasks.sentence_similarity, model=self.model_id)
- print(pipeline_ins(input=(self.sentence1, self.sentence2)))
-
- @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
- def test_run_with_default_model(self):
- pipeline_ins = pipeline(task=Tasks.sentence_similarity)
- print(pipeline_ins(input=(self.sentence1, self.sentence2)))
-
-
- if __name__ == '__main__':
- unittest.main()
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