debug vbert

model_loader.py

@@ -189,16 +189,16 @@ def get_answer(model_loader_args, img, question, model_name):
 
     elif model_name == "vbert":
         vqa_answers = get_data(VQA_URL)
-        try:
-            # load question and image (processor = tokenizer)
-            ## MOD Minxuan: fix error
-            _, inputs = get_item(img, question, processor, "resnet50")
-            outputs = model(**inputs)
-        except Exception:
-            return err_msg()
-        else:
-            answer_idx = torch.argmax(outputs.logits, dim=1).item()  # from 3129
-            pred = vqa_answers[answer_idx]
+
+        # load question and image (processor = tokenizer)
+        ## MOD Minxuan: fix error
+        _, inputs = get_item(img, question, processor, "resnet50")
+        outputs = model(**inputs)
+        #except Exception:
+           # return err_msg()
+        # else:
+        answer_idx = torch.argmax(outputs.logits, dim=1).item()  # from 3129
+        pred = vqa_answers[answer_idx]
 
     elif model_name == "blip":
         try: