makes test code clear

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10041992

data/test/images/multimodal_similarity.jpg

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f24abbba43782d733dedbb0b4f416635af50263862e5632963ac9263e430555
+size 88542

tests/pipelines/test_multi_modal_similarity.py

@@ -10,32 +10,38 @@ from modelscope.utils.test_utils import test_level
 
 class MultiModalSimilarityTest(unittest.TestCase):
     model_id = 'damo/multi-modal_team-vit-large-patch14_multi-modal-similarity'
-    test_input = {
-        'img': 'data/test/images/generative_multimodal.jpg',
-        'text': '起居室照片'
-    }
+    test_img = 'data/test/images/multimodal_similarity.jpg'
+    test_str1 = '一个上了年纪的女人在城镇中骑着自行车一个黄色出租车正要从她身边驶过'
+    test_str2 = '穿着蓝色连衣裙的那个女人正冲着行来的车辆伸出她的手'
+
+    def infer_pipeline(self, multi_modal_similarity_pipeline):
+        test_input1 = {'img': self.test_img, 'text': self.test_str1}
+        test_input2 = {'img': self.test_img, 'text': self.test_str2}
+        output1 = multi_modal_similarity_pipeline(test_input1)
+        output2 = multi_modal_similarity_pipeline(test_input2)
+        print('image: {}, text: {}, similarity: {}'.format(
+            self.test_img, self.test_str1, output1['scores']))
+        print('image: {}, text: {}, similarity: {}'.format(
+            self.test_img, self.test_str2, output2['scores']))
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_run(self):
         multi_modal_similarity_pipeline = pipeline(
             Tasks.multi_modal_similarity, model=self.model_id)
-        output = multi_modal_similarity_pipeline(self.test_input)
-        print(output)
+        self.infer_pipeline(multi_modal_similarity_pipeline)
 
     @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     def test_run_with_default_model(self):
         multi_modal_similarity_pipeline = pipeline(
             task=Tasks.multi_modal_similarity)
-        output = multi_modal_similarity_pipeline(self.test_input)
-        print(output)
+        self.infer_pipeline(multi_modal_similarity_pipeline)
 
     @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
     def test_run_with_model_from_modelhub(self):
         model = Model.from_pretrained(self.model_id)
         multi_modal_similarity_pipeline = pipeline(
             task=Tasks.multi_modal_similarity, model=model)
-        output = multi_modal_similarity_pipeline(self.test_input)
-        print(output)
+        self.infer_pipeline(multi_modal_similarity_pipeline)
 
 
 if __name__ == '__main__':