diff --git a/paddle/fluid/operators/math/math_function_test.cu b/paddle/fluid/operators/math/math_function_test.cu
index eb6b77f9583e9c4cdc20b203bdf13841cb663683..3d03981b9f8a5ee5c302acce3d31157a16d8b67b 100644
--- a/paddle/fluid/operators/math/math_function_test.cu
+++ b/paddle/fluid/operators/math/math_function_test.cu
@@ -279,8 +279,9 @@ TEST(math_function, gemm_notrans_cublas_fp16) {
   paddle::platform::float16* c =
       input3_gpu.mutable_data<paddle::platform::float16>(gpu_place);
 
-  GetBlas<float16>(context).GEMM(false, false, m, n, k, float16(1), a, 3, b + 1,
-                                 4, float16(1), c + 1, 4);
+  GetBlas<paddle::platform::float16>(context).GEMM(
+      false, false, m, n, k, static_cast<paddle::platform::float16>(1), a, 3,
+      b + 1, 4, static_cast<paddle::platform::float16>(1), c + 1, 4);
 
   paddle::framework::TensorCopySync(input3_gpu, cpu_place, &input3);
 
@@ -388,12 +389,9 @@ TEST(math_function, gemm_trans_cublas_fp16) {
   paddle::platform::float16* c =
       input3_gpu.mutable_data<paddle::platform::float16>(gpu_place);
 
-  GetBlas<float16>(context).GEMM(false, true, m, n, k, float16(1), a, 3, b + 3,
-                                 3, float16(1), c + 1, 4);
-  paddle::operators::math::gemm<paddle::platform::CUDADeviceContext,
-                                paddle::platform::float16>(
-      context, false, true, m, n, k, paddle::platform::float16(1), a, 3, b + 3,
-      3, paddle::platform::float16(1), c + 1, 4);
+  GetBlas<paddle::platform::float16>(context).GEMM(
+      false, true, m, n, k, static_cast<paddle::platform::float16>(1), a, 3,
+      b + 3, 3, static_cast<paddle::platform::float16>(1), c + 1, 4);
 
   paddle::framework::TensorCopySync(input3_gpu, cpu_place, &input3);