diff --git a/model_zoo/official/cv/resnet/train.py b/model_zoo/official/cv/resnet/train.py
index 5f4a142383747fdc9be2a9092f1ef27c05e24e4e..be1c6290b1f60cc4c764d90f1bc1ccc84d427688 100755
--- a/model_zoo/official/cv/resnet/train.py
+++ b/model_zoo/official/cv/resnet/train.py
@@ -127,11 +127,11 @@ if __name__ == '__main__':
     lr = Tensor(lr)
 
     # define opt
-    decayed_params = list(filter(lambda x: 'beta' not in x.name and 'gamma' not in x.name and 'bias' not in x.name, net.trainalbe_params()))
-    no_decayed_params = [param for param in net.trainalbe_params() if param not in decayed_params]
+    decayed_params = list(filter(lambda x: 'beta' not in x.name and 'gamma' not in x.name and 'bias' not in x.name, net.trainable_params()))
+    no_decayed_params = [param for param in net.trainable_params() if param not in decayed_params]
     group_params = [{'params': decayed_params, 'weight_decay': config.weight_decay},
                     {'params': no_decayed_params},
-                    {'order_params': net.trainalbe_params()}]
+                    {'order_params': net.trainable_params()}]
     opt = Momentum(group_params, lr, config.momentum, loss_scale=config.loss_scale)
     # define loss, model
     if target == "Ascend":