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49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
import unittest
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import numpy as np
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from modelscope.models import Model
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.demo_utils import DemoCompatibilityCheck
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from modelscope.utils.test_utils import test_level
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class ProductRetrievalEmbeddingTest(unittest.TestCase, DemoCompatibilityCheck):
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def setUp(self) -> None:
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self.task = Tasks.product_retrieval_embedding
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self.model_id = 'damo/cv_resnet50_product-bag-embedding-models'
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img_input = 'data/test/images/product_embed_bag.jpg'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_name(self):
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product_embed = pipeline(Tasks.product_retrieval_embedding,
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self.model_id)
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result = product_embed(self.img_input)[OutputKeys.IMG_EMBEDDING]
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print('abs sum value is: {}'.format(np.sum(np.abs(result))))
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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model = Model.from_pretrained(self.model_id)
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product_embed = pipeline(
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task=Tasks.product_retrieval_embedding, model=model)
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result = product_embed(self.img_input)[OutputKeys.IMG_EMBEDDING]
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print('abs sum value is: {}'.format(np.sum(np.abs(result))))
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_default_model(self):
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product_embed = pipeline(task=Tasks.product_retrieval_embedding)
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result = product_embed(self.img_input)[OutputKeys.IMG_EMBEDDING]
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print('abs sum value is: {}'.format(np.sum(np.abs(result))))
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@unittest.skip('demo compatibility test is only enabled on a needed-basis')
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def test_demo_compatibility(self):
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self.compatibility_check()
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if __name__ == '__main__':
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unittest.main()
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