adjust for batch data input.

Signed-off-by: wxywb <xy.wang@zilliz.com>

clip.py

@@ -42,7 +42,7 @@ class Clip(NNOperator):
                (0.48145466, 0.4578275, 0.40821073), (0.26862954, 0.26130258, 0.27577711))
             ])
 
-    def __call__(self, data):
+    def inference_single_data(self, data):
         if self.modality == 'image':
             vec = self._inference_from_image(data)
         elif self.modality == 'text': 
@@ -51,6 +51,20 @@ class Clip(NNOperator):
             raise ValueError("modality[{}] not implemented.".format(self._modality))
         return vec.detach().cpu().numpy().flatten()
 
+    def __call__(self, data):
+        if not isinstance(data, list):
+            data = [data]
+        else:
+            data = data
+        results = []
+        for single_data in data:
+            result = self.inference_single_data(single_data)
+            results.append(result)
+        if len(data) == 1:        
+            return results[0]
+        else:
+            return results
+
     def _inference_from_text(self, text):
         text = self.tokenize(text).to(self.device)
         text_features = self.model.encode_text(text)