diff --git a/Classification/cnns/optimizer_util.py b/Classification/cnns/optimizer_util.py
index 156994c..7cba7f6 100755
--- a/Classification/cnns/optimizer_util.py
+++ b/Classification/cnns/optimizer_util.py
@@ -66,8 +66,8 @@ def set_up_optimizer(loss, args):
             warmup=warmup
         )
     elif args.lr_decay == 'polynomial':
-        # PolynomialSchduler
-        lr_scheduler = flow.optimizer.PolynomialSchduler(
+        # PolynomialScheduler
+        lr_scheduler = flow.optimizer.PolynomialScheduler(
             base_lr=args.learning_rate,
             steps=decay_batches, 
             end_learning_rate=0.00001,
diff --git a/LanguageModeling/BERT/util.py b/LanguageModeling/BERT/util.py
index 6b04d55..7b50719 100755
--- a/LanguageModeling/BERT/util.py
+++ b/LanguageModeling/BERT/util.py
@@ -142,7 +142,7 @@ def callback(outputs):
 def CreateOptimizer(args):
     warmup_batches = int(args.iter_num * args.warmup_proportion)
     lr_warmup = flow.optimizer.warmup.linear(warmup_batches, 0)
-    lr_scheduler = flow.optimizer.PolynomialSchduler(args.learning_rate, args.iter_num, 0.0,
+    lr_scheduler = flow.optimizer.PolynomialScheduler(args.learning_rate, args.iter_num, 0.0,
                                                      warmup=lr_warmup)
     loss_scale_policy = None
     if args.use_fp16: