use the corresponding device in the save method.

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

clip.py

@@ -193,10 +193,10 @@ class Clip(NNOperator):
                 h = sz['height']
                 w = sz['width']
             dummy_input = Image.new('RGB', (w, h), color = 'red')
-            inputs = self.processor(images=dummy_input, return_tensors='pt')  # a dictionary
+            inputs = self.processor(images=dummy_input, return_tensors='pt').to(self.device)   # a dictionary
         elif self.modality == 'text':
             dummy_input = 'dummy'
-            inputs = self.tokenizer(dummy_input, padding=True, truncation=True, return_tensors='pt')  # a dictionary
+            inputs = self.tokenizer(dummy_input, padding=True, truncation=True, return_tensors='pt').to(self.device)  # a dictionary
         else:
             raise ValueError("modality[{}] not implemented.".format(self.modality))
 
@@ -235,6 +235,5 @@ class Clip(NNOperator):
                 opset_version=14,
             )
         else:
-            pass
             raise NotImplementedError