Update

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>

timm_image.py

@@ -64,17 +64,14 @@ class TimmImage(NNOperator):
         self.skip_tfms = skip_preprocess
 
     def __call__(self, data: Union[List[towhee._types.Image], towhee._types.Image]):
-        if isinstance(data, list):
-            imgs = []
-            for img in data:
-                img = self.convert_img(img)
-                img = img if self.skip_tfms else self.tfms(img)
-                imgs.append(img)
-            inputs = torch.stack(imgs)
-        else:
-            img = self.convert_img(data)
+        if not isinstance(data, list):
+            data = [data]
+        imgs = []
+        for img in data:
+            img = self.convert_img(img)
             img = img if self.skip_tfms else self.tfms(img)
-            inputs = img.unsqueeze(0)
+            imgs.append(img)
+        inputs = torch.stack(imgs)
         inputs = inputs.to(self.device)
         features = self.model.forward_features(inputs)
         if features.dim() == 4: