Update modeling_minicpmv.py

modeling_minicpmv.py

@@ -273,7 +273,7 @@ class MiniCPMV(MiniCPMVPreTrainedModel):
             else:
                 model_inputs["vision_hidden_states"] = vision_hidden_states
     
-            print(model_inputs)
+            # print(model_inputs)
             (
                 input_embeds,
                 vision_hidden_states_dummy,
@@ -304,7 +304,7 @@ class MiniCPMV(MiniCPMVPreTrainedModel):
             print(stuff.shape, "SHAPE")
         batch = torch.cat(padded_tensors, dim=0)
         print(batch.shape)
-        
+        print(batch)
         # output_ids = self._decode(input_embeds, tokenizer, **kwargs)
         if stream:
             kwargs.pop("decode_text")