Fix batch inference when image is None (#6)

- Fix bug of batch inference when image is None (4c99f84f0a198cd43f7e91ccae33fe41db1fd7ff)
- ban image for batch inference (6da897213f95c636d233c227c1a95638653bb039)
- fix bug (24c4eaab3fcbd66c8db859c3fd86e8ca03418bfc)


Co-authored-by: Zhihui He <[email protected]>

modeling_minicpmv.py

@@ -292,8 +292,10 @@ class MiniCPMV(MiniCPMVPreTrainedModel):
         
         if batched is False:
             images_list, msgs_list = [images_list], [msgs_list]
-        if images_list is not None:
-            assert len(images_list) == len(msgs_list), "The batch dim of images_list and msgs_list should be the same."
+        else:
+            assert images_list is None, "Please integrate image to msgs when using batch inference."
+            images_list = [None] * len(msgs_list)
+        assert len(images_list) == len(msgs_list), "The batch dim of images_list and msgs_list should be the same."
 
         if processor is None:
             if self.processor is None: