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modeling_GOT.py

@@ -271,8 +271,8 @@ class GOTQwenModel(Qwen2Model):
 
                 if use_im_start_end:
                     if (cur_input_ids == im_start_token).sum() != (cur_input_ids == im_end_token).sum():
-                        raise ValueError("The number of image start tokens and image end tokens should be the same.")
-                    
+                        print("Warning Please start, end image token not align")
+                        
                     image_start_tokens = torch.where(cur_input_ids == im_start_token)[0]
                     for image_start_token_pos, per_cur_image_features in zip(image_start_tokens, cur_image_features):
                         per_cur_image_features = per_cur_image_features.to(device=cur_input_embeds.device)