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- # Copyright (c) Alibaba, Inc. and its affiliates.
- import unittest
-
- from modelscope.hub.snapshot_download import snapshot_download
- from modelscope.models import Model
- from modelscope.models.nlp import SpaceForDialogIntent
- from modelscope.pipelines import pipeline
- from modelscope.pipelines.nlp import DialogIntentPredictionPipeline
- from modelscope.preprocessors import DialogIntentPredictionPreprocessor
- from modelscope.utils.constant import Tasks
- from modelscope.utils.test_utils import test_level
-
-
- class DialogIntentPredictionTest(unittest.TestCase):
- model_id = 'damo/nlp_space_dialog-intent-prediction'
- test_case = [
- 'How do I locate my card?',
- 'I still have not received my new card, I ordered over a week ago.'
- ]
-
- @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
- def test_run_by_direct_model_download(self):
- cache_path = snapshot_download(self.model_id)
- preprocessor = DialogIntentPredictionPreprocessor(model_dir=cache_path)
- model = SpaceForDialogIntent(
- model_dir=cache_path,
- text_field=preprocessor.text_field,
- config=preprocessor.config)
-
- pipelines = [
- DialogIntentPredictionPipeline(
- model=model, preprocessor=preprocessor),
- pipeline(
- task=Tasks.dialog_intent_prediction,
- model=model,
- preprocessor=preprocessor)
- ]
-
- for my_pipeline, item in list(zip(pipelines, self.test_case)):
- print(my_pipeline(item))
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_run_with_model_from_modelhub(self):
- model = Model.from_pretrained(self.model_id)
- preprocessor = DialogIntentPredictionPreprocessor(
- model_dir=model.model_dir)
-
- pipelines = [
- DialogIntentPredictionPipeline(
- model=model, preprocessor=preprocessor),
- pipeline(
- task=Tasks.dialog_intent_prediction,
- model=model,
- preprocessor=preprocessor)
- ]
-
- for my_pipeline, item in list(zip(pipelines, self.test_case)):
- print(my_pipeline(item))
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_run_with_model_name(self):
- pipelines = [
- pipeline(task=Tasks.dialog_intent_prediction, model=self.model_id)
- ]
- for my_pipeline, item in list(zip(pipelines, self.test_case)):
- print(my_pipeline(item))
-
- @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
- def test_run_with_default_model(self):
- pipelines = [pipeline(task=Tasks.dialog_intent_prediction)]
- for my_pipeline, item in list(zip(pipelines, self.test_case)):
- print(my_pipeline(item))
-
-
- if __name__ == '__main__':
- unittest.main()
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