Update modeling_minicpmv.py

modeling_minicpmv.py

@@ -298,16 +298,17 @@ class MiniCPMV(MiniCPMVPreTrainedModel):
         
         for place, tensor in enumerate(batch):
             to_add = []
-            for pl in range(tensor.shape[1]):
-                to_add.append(1)
+            for pl in range(0, max_x - tensor.shape[1]):
+                to_add.append(0)
             bound = 0
-            for pl in range(tensor.shape[1], max_x):
+            
+            for pl in range(max_x - tensor.shape[1], max_x):
                 if bound == 0:
                     bound = pl
             
                 #print("here")
                 tensor = torch.cat((vector_reshaped, tensor), dim=1)
-                to_add.append(0)
+                to_add.append(1)
             # tensor = tensor.to(self.device)
             if bound != 0:
                 print(tensor[0,bound-1], " BOUND")