adjust for batch data.

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

clipcap.py

@@ -59,15 +59,29 @@ class ClipCap(NNOperator):
 
         
     @arg(1, to_image_color('RGB'))
-    def __call__(self, data):
-        vec = self._inference_from_image(data)
-        return vec
+    def inference_single_data(self, data):
+        text = self._inference_from_image(data)
+        return text
 
     def _preprocess(self, img):
         img = to_pil(img)
         processed_img = self.clip_tfms(img).unsqueeze(0).to(self.device)
         return processed_img
 
+    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
+
     @arg(1, to_image_color('RGB'))
     def _inference_from_image(self, img):
         img = self._preprocess(img)