add "num_patch_input=7, padding_mode='constant'" in model.update_config()

app.py

@@ -211,7 +211,9 @@ def predict_at_index(df, index, context_len, pred_len):
     periodicity = periodicity_list[0] if periodicity_list else 1
     
     color_list = [i % 3 for i in range(nvars)]
-    model.update_config(context_len=context_len, pred_len=pred_len, periodicity=periodicity)
+    # model.update_config(context_len=context_len, pred_len=pred_len, periodicity=periodicity)
+    model.update_config(context_len=context_len, pred_len=pred_len, periodicity=periodicity, 
+                        num_patch_input=7, padding_mode='constant')
 
     with torch.no_grad():
         y_pred, input_image, reconstructed_image, _, _ = model.forward(
@@ -225,7 +227,7 @@ def predict_at_index(df, index, context_len, pred_len):
         print(f"{reconstructed_image.shape = }")
         print(f"{len(y_pred_quantile_list) = }")
 
-        print(f"{input_image = }")
+        # print(f"{input_image = }")
         print(f"{input_image[0,0,0, :, 0] = }")
         print(f"{input_image[0,0,0, 50:70, 0] = }")
         print(f"{input_image[0,0,0, 100:120, 0] = }")