diff --git a/dygraph/configs/ocrnet/ocrnet_hrnetw18_cityscapes_1024x512_40k.yml b/dygraph/configs/ocrnet/ocrnet_hrnetw18_cityscapes_1024x512_40k.yml
index e71271c1e59930cfbb0bcd68aab31b3706a82374..a8676a47d5341f1522fca1b8e812b620bf986023 100644
--- a/dygraph/configs/ocrnet/ocrnet_hrnetw18_cityscapes_1024x512_40k.yml
+++ b/dygraph/configs/ocrnet/ocrnet_hrnetw18_cityscapes_1024x512_40k.yml
@@ -1,44 +1,13 @@
+_base_: '../_base_/cityscapes.yml'
+
 batch_size: 2
 iters: 40000
 
-train_dataset:
-  type: Cityscapes
-  dataset_root: data/cityscapes
-  transforms:
-    - type: ResizeStepScaling
-      min_scale_factor: 0.5
-      max_scale_factor: 2.0
-      scale_step_size: 0.25
-    - type: RandomPaddingCrop
-      crop_size: [1024, 512]
-    - type: RandomHorizontalFlip
-    - type: Normalize
-  mode: train
-
-val_dataset:
-  type: Cityscapes
-  dataset_root: data/cityscapes
-  transforms:
-    - type: Normalize
-  mode: val
-
 model:
   type: OCRNet
   backbone:
     type: HRNet_W18
-    backbone_pretrianed: None
   num_classes: 19
-  in_channels: 270
+  backbone_channels: [270]
+  backbone_pretrained: pretrained_model/hrnet_w18_imagenet
   model_pretrained: None
-
-optimizer:
-  type: sgd
-
-learning_rate:
-  value: 0.01
-  decay:
-    type: poly
-    power: 0.9
-
-loss:
-  type: CrossEntropy