diff --git a/paddle/fluid/framework/operator_test.cc b/paddle/fluid/framework/operator_test.cc
index 8ba66eb4da36fa47a716db918d8582eb9d01541e..ab14732e4d6eab9dd15364da02b436c10ed68a19 100644
--- a/paddle/fluid/framework/operator_test.cc
+++ b/paddle/fluid/framework/operator_test.cc
@@ -97,6 +97,8 @@ TEST(OperatorBase, all) {
 namespace paddle {
 namespace framework {
 
+static int special_type_value = 1;
+
 class OpKernelTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
  public:
   void Make() {
@@ -211,15 +213,12 @@ REGISTER_OP_WITHOUT_GRADIENT(
     op_with_kernel, paddle::framework::OpWithKernelTest,
     paddle::framework::OpKernelTestProtoAndCheckerMaker);
 
-// REGISTER_OP_CPU_KERNEL(op_with_kernel,
-//                        paddle::framework::CPUKernelTest<float, float>);
-
-REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(
-    op_with_kernel, CPU, paddle::platform::CPUPlace, DEFAULT_TYPE, 0,
-    paddle::framework::CPUKernelTest<float, float>);
+REGISTER_OP_CPU_KERNEL(op_with_kernel,
+                       paddle::framework::CPUKernelTest<float, float>);
 
 REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(
-    op_with_kernel, CPU, paddle::platform::CPUPlace, SPECIAL, 1,
+    op_with_kernel, CPU, paddle::platform::CPUPlace, MY_SPECIAL_NAME,
+    paddle::framework::special_type_value,
     paddle::framework::CPUKernel2Test<float, float>);
 
 // test with single input
@@ -241,6 +240,7 @@ TEST(OpKernel, all) {
   auto op = paddle::framework::OpRegistry::CreateOp(op_desc);
   ASSERT_EQ(paddle::framework::cpu_kernel_run_num, 0);
   op->Run(scope, cpu_place);
+  // kerne_sub_type = 0, hence cpu_kernel is called, cpu_kernel2 is not called.
   ASSERT_EQ(paddle::framework::cpu_kernel_run_num, 1);
   ASSERT_EQ(paddle::framework::cpu_kernel2_run_num, 0);
 
@@ -250,6 +250,7 @@ TEST(OpKernel, all) {
   attr->set_i(1);
   auto op2 = paddle::framework::OpRegistry::CreateOp(op_desc);
   op2->Run(scope, cpu_place);
+  // kerne_sub_type = 1, hence cpu_kernel2 is called, cpu_kernel is not called.
   ASSERT_EQ(paddle::framework::cpu_kernel_run_num, 1);
   ASSERT_EQ(paddle::framework::cpu_kernel2_run_num, 1);
 }
diff --git a/paddle/fluid/operators/conv_op.cc b/paddle/fluid/operators/conv_op.cc
index 9a5dc740348d19484ced1b50c56f81de78f2048b..7455b9492f054b32ee7fb1fc90b1a344367ceb81 100644
--- a/paddle/fluid/operators/conv_op.cc
+++ b/paddle/fluid/operators/conv_op.cc
@@ -345,6 +345,8 @@ void ConvOpGrad::InferShape(framework::InferShapeContext* ctx) const {
 
 framework::OpKernelType ConvOpGrad::GetExpectedKernelType(
     const framework::ExecutionContext& ctx) const {
+  int customized_type_value =
+      framework::OpKernelType::kDefaultCustomizedTypeValue;
   framework::LibraryType library_{framework::LibraryType::kPlain};
   // TODO(pzelazko-intel): enable MKLDNN layout when it's ready
   std::string data_format = ctx.Attr<std::string>("data_format");
@@ -360,12 +362,13 @@ framework::OpKernelType ConvOpGrad::GetExpectedKernelType(
       platform::CanMKLDNNBeUsed(ctx)) {
     library_ = framework::LibraryType::kMKLDNN;
     layout_ = framework::DataLayout::kMKLDNN;
+    customized_type_value = kConvMKLDNNFP32;
   }
 #endif
 
   return framework::OpKernelType(
       framework::ToDataType(ctx.Input<Tensor>("Input")->type()), ctx.GetPlace(),
-      layout_, library_);
+      layout_, library_, customized_type_value);
 }
 
 }  // namespace operators