diff --git a/paddle/fluid/operators/activation_mkldnn_op.cc b/paddle/fluid/operators/activation_mkldnn_op.cc
index b892ac77d9ed60210ddadaecb1a4f214e5a25180..46ed99bcf2234f7621d9f00eb48c846d8a355795 100644
--- a/paddle/fluid/operators/activation_mkldnn_op.cc
+++ b/paddle/fluid/operators/activation_mkldnn_op.cc
@@ -222,35 +222,35 @@ struct MKLDNNActivationGradFunc : public BaseActivationFunctor<T> {
 };
 
 template <typename T>
-using ReluMkldnnFunctor =
+using ReluMKLDNNFunctor =
     MKLDNNActivationFunc<T, mkldnn::algorithm::eltwise_relu>;
 
 template <typename T>
-using TanhMkldnnFunctor =
+using TanhMKLDNNFunctor =
     MKLDNNActivationFunc<T, mkldnn::algorithm::eltwise_tanh>;
 
 template <typename T>
-using SqrtMkldnnFunctor =
+using SqrtMKLDNNFunctor =
     MKLDNNActivationFunc<T, mkldnn::algorithm::eltwise_sqrt>;
 
 template <typename T>
-using AbsMkldnnFunctor =
+using AbsMKLDNNFunctor =
     MKLDNNActivationFunc<T, mkldnn::algorithm::eltwise_abs>;
 
 template <typename T>
-using ReluMkldnnGradFunctor =
+using ReluMKLDNNGradFunctor =
     MKLDNNActivationGradFunc<T, mkldnn::algorithm::eltwise_relu>;
 
 template <typename T>
-using TanhMkldnnGradFunctor =
+using TanhMKLDNNGradFunctor =
     MKLDNNActivationGradFunc<T, mkldnn::algorithm::eltwise_tanh>;
 
 template <typename T>
-using SqrtMkldnnGradFunctor =
+using SqrtMKLDNNGradFunctor =
     MKLDNNActivationGradFunc<T, mkldnn::algorithm::eltwise_sqrt>;
 
 template <typename T>
-using AbsMkldnnGradFunctor =
+using AbsMKLDNNGradFunctor =
     MKLDNNActivationGradFunc<T, mkldnn::algorithm::eltwise_abs>;
 }  // namespace operators
 }  // namespace paddle
@@ -265,9 +265,9 @@ namespace ops = paddle::operators;
       ops::MKLDNNActivationGradKernel<ops::grad_functor<float>>);
 
 #define FOR_EACH_MKLDNN_KERNEL_FUNCTOR(__macro)            \
-  __macro(relu, ReluMkldnnFunctor, ReluMkldnnGradFunctor); \
-  __macro(tanh, TanhMkldnnFunctor, TanhMkldnnGradFunctor); \
-  __macro(sqrt, SqrtMkldnnFunctor, SqrtMkldnnGradFunctor); \
-  __macro(abs, AbsMkldnnFunctor, AbsMkldnnGradFunctor);
+  __macro(relu, ReluMKLDNNFunctor, ReluMKLDNNGradFunctor); \
+  __macro(tanh, TanhMKLDNNFunctor, TanhMKLDNNGradFunctor); \
+  __macro(sqrt, SqrtMKLDNNFunctor, SqrtMKLDNNGradFunctor); \
+  __macro(abs, AbsMKLDNNFunctor, AbsMKLDNNGradFunctor);
 
 FOR_EACH_MKLDNN_KERNEL_FUNCTOR(REGISTER_ACTIVATION_MKLDNN_KERNEL);