wrap_shfl_x_sync

paddle/fluid/operators/row_conv_op.cu

@@ -224,7 +224,7 @@ __global__ void RowConvGradFilterImproved(const T *in, const T *dout,
 
         for (int offset = 16; offset > 0;
              offset = offset / 2) {  // blockDim.x is 32.
-          val += platform::__shfl_down_sync(mask, val, offset);
+          val += platform::CudaShuffleDownSync(mask, val, offset);
         }
         __syncthreads();
 
@@ -284,7 +284,7 @@ __global__ void RowConvGradFilter(const T *in, const T *dout, int num_sequence,
 
         for (int offset = 16; offset > 0;
              offset = offset / 2) {  // blockDim.x is 32.
-          val += platform::__shfl_down_sync(mask, val, offset);
+          val += platform::CudaShuffleDownSync(mask, val, offset);
         }
         __syncthreads();
 

paddle/fluid/operators/top_k_op.cu

@@ -241,7 +241,8 @@ __device__ __forceinline__ void BlockReduce(Pair<T>* sh_topk, int* maxid,
     CREATE_SHFL_MASK(mask, true);
 
     if (maxid[0] / 32 == warp) {
-      if (platform::__shfl_sync(mask, *beam, (maxid[0]) % 32, 32) == MaxLength)
+      if (platform::CudaShuffleSync(mask, *beam, (maxid[0]) % 32, 32) ==
+          MaxLength)
         break;
     }
   }

paddle/fluid/platform/cuda_device_function.h

@@ -18,34 +18,33 @@ limitations under the License. */
 namespace paddle {
 namespace platform {
 
-// __shfl_down and __shfl have been deprecated as of CUDA 9.0.
 #if CUDA_VERSION < 9000
-template <typename T>
-__forceinline__ __device__ T __shfl_down_sync(unsigned, T val, int delta) {
-  return __shfl_down(val, delta);
-}
-
-template <typename T>
-__forceinline__ __device__ T __shfl_sync(unsigned, T val, int src_line,
-                                         int width) {
-  return __shfl(val, src_line, width);
-}
 #define CREATE_SHFL_MASK(mask, predicate) mask = 0u;
 #else
 #define FULL_WARP_MASK 0xFFFFFFFF
 #define CREATE_SHFL_MASK(mask, predicate) \
   mask = __ballot_sync(FULL_WARP_MASK, (predicate))
+#endif
+
 template <typename T>
-__forceinline__ __device__ T __shfl_down_sync(unsigned mask, T val, int delta) {
-  return __shfl_down_sync(mask, val, delta);
+__forceinline__ __device__ T CudaShuffleDownSync(unsigned mask, T val,
+                                                 int delta, int width = 32) {
+#if CUDA_VERSION < 9000
+  return __shfl_down(val, delta, width);
+#else
+  return __shfl_down_sync(mask, val, delta, width);
+#endif
 }
 
 template <typename T>
-__forceinline__ __device__ T __shfl_sync(unsigned mask, T val, int src_line,
-                                         int width) {
+__forceinline__ __device__ T CudaShuffleSync(unsigned mask, T val, int src_line,
+                                             int width = 32) {
+#if CUDA_VERSION < 9000
+  return __shfl(val, src_line, width);
+#else
   return __shfl_sync(mask, val, src_line, width);
-}
 #endif
+}
 
 template <typename T>
 __device__ T reduceSum(T val, int tid, int len) {
@@ -61,7 +60,7 @@ __device__ T reduceSum(T val, int tid, int len) {
   CREATE_SHFL_MASK(mask, tid < len);
 
   for (int offset = warpSize / 2; offset > 0; offset /= 2)
-    val += platform::__shfl_down_sync(mask, val, offset);
+    val += platform::CudaShuffleDownSync(mask, val, offset);
 
   if (tid < warpSize) shm[tid] = 0;
 
@@ -75,7 +74,7 @@ __device__ T reduceSum(T val, int tid, int len) {
   if (tid < warpSize) {
     val = shm[tid];
     for (int offset = warpSize / 2; offset > 0; offset /= 2)
-      val += platform::__shfl_down_sync(mask, val, offset);
+      val += platform::CudaShuffleDownSync(mask, val, offset);
   }
   return val;
 }