diff --git a/paddle/fluid/operators/group_norm_op.cu b/paddle/fluid/operators/group_norm_op.cu
index 6e460c470be71bfaaa37b4ef796027c2e2b9e376..3bf8586254e9867c7f5151178db866655df11535 100644
--- a/paddle/fluid/operators/group_norm_op.cu
+++ b/paddle/fluid/operators/group_norm_op.cu
@@ -21,20 +21,20 @@ namespace operators {
 
 enum GroupNormKernelFlags { kHasScale = 1, kHasBias = 2 };
 
-#define CHECK_CASE(i, flags, kernel_name, args...)                   \
-  if (i == flags) {                                                  \
-    kernel_name<T, i><<<grid, threads, 0, dev_ctx.stream()>>>(args); \
+#define CHECK_CASE(i, flags, kernel_name, ...)                              \
+  if (i == flags) {                                                         \
+    kernel_name<T, i><<<grid, threads, 0, dev_ctx.stream()>>>(__VA_ARGS__); \
   }
 
 // 0 for no scale, no bias
 // 1 for has scale, no bias
 // 2 for no scale, has bias
 // 3 for has scale, has bias
-#define UNROLL_ALL_CASES(flags, kernel_name, args...) \
-  CHECK_CASE(0, flags, kernel_name, args)             \
-  CHECK_CASE(1, flags, kernel_name, args)             \
-  CHECK_CASE(2, flags, kernel_name, args)             \
-  CHECK_CASE(3, flags, kernel_name, args)
+#define UNROLL_ALL_CASES(flags, kernel_name, ...) \
+  CHECK_CASE(0, flags, kernel_name, __VA_ARGS__)  \
+  CHECK_CASE(1, flags, kernel_name, __VA_ARGS__)  \
+  CHECK_CASE(2, flags, kernel_name, __VA_ARGS__)  \
+  CHECK_CASE(3, flags, kernel_name, __VA_ARGS__)
 
 template <typename T>
 __device__ __inline__ void CudaAtomicAddWithWarp(T* sum, T value) {