diff --git a/paddle/fluid/operators/softmax_cudnn_op.cu.h b/paddle/fluid/operators/softmax_cudnn_op.cu.h
index 533488896dfcd177edfeaa5cd49f2cf36f7881a9..0c10152c23b2ae3809dca7503791775225905b4d 100644
--- a/paddle/fluid/operators/softmax_cudnn_op.cu.h
+++ b/paddle/fluid/operators/softmax_cudnn_op.cu.h
@@ -222,15 +222,27 @@ __global__ void WarpSoftmaxForward(T* softmax, const T* src,
     idx_max_v[i] = idx_max / kVSize;
   }
 
-  // read data from global memory
+  // data src
   AccT srcdata[kBatchSize][kLoopsV][kVSize];
-  kps::Init<AccT, kStep>(&srcdata[0][0][0], kLowInf);
   T src_tmp[kBatchSize][kLoopsV][kVSize];
+  kps::Init<AccT, kStep>(&srcdata[0][0][0], kLowInf);
   kps::Init<T, kStep>(&src_tmp[0][0][0], -std::numeric_limits<T>::infinity());
+
+  // data dst
+  T out_tmp[kBatchSize][kLoopsV][kVSize];
+
+  // max value
+  AccT max[kBatchSize];
+  kps::Init<AccT, kBatchSize>(&max[0], kLowInf);
+
+  // sum value
+  AccT sum[kBatchSize] = {0};
+
+// read data from global memory
 #pragma unroll
   for (int i = 0; i < kBatchSize; ++i) {
-    int ptr = (first_batch + i) * stride;
-    const VecT* src_v = reinterpret_cast<const VecT*>(&src[ptr]);
+    const VecT* src_v =
+        reinterpret_cast<const VecT*>(&src[(first_batch + i) * stride]);
     VecT* reg_v = reinterpret_cast<VecT*>(&src_tmp[i][0][0]);
     kps::ReadData<VecT, VecT, kLoopsV, 1, 1, true>(
         &reg_v[0], &src_v[0], idx_max_v[i], 0, kWarpSize, 1);
@@ -239,15 +251,12 @@ __global__ void WarpSoftmaxForward(T* softmax, const T* src,
   }
 
   // compute max
-  AccT max[kBatchSize];
-  kps::Init<AccT, kBatchSize>(&max[0], kLowInf);
   kps::Reduce<AccT, kVItem, kBatchSize, 1, ReduceMaxFunctor<AccT>,
               kMode::kLocalMode>(&max[0], &srcdata[0][0][0],
                                  ReduceMaxFunctor<AccT>(), true);
   WarpReduceMax<AccT, kBatchSize, kWarpSize>(max);
 
   // compute sum
-  AccT sum[kBatchSize] = {0};
   for (int i = 0; i < kBatchSize; ++i) {
     kps::ElementwiseUnary<AccT, AccT, kVItem, 1, 1, ExpSubFunctor<AccT>>(
         &srcdata[i][0][0], &srcdata[i][0][0], ExpSubFunctor<AccT>(max[i]));
@@ -257,15 +266,14 @@ __global__ void WarpSoftmaxForward(T* softmax, const T* src,
                                  kps::AddFunctor<AccT>(), true);
   WarpReduceSum<AccT, kBatchSize, kWarpSize>(sum);
 
-  // write result to global memory
-  T out_tmp[kBatchSize][kLoopsV][kVSize];
+// write data to global memory
 #pragma unroll
   for (int i = 0; i < kBatchSize; ++i) {
+    VecT* softmax_v =
+        reinterpret_cast<VecT*>(&softmax[(first_batch + i) * stride]);
+    VecT* reg_v = reinterpret_cast<VecT*>(&out_tmp[i][0][0]);
     kps::ElementwiseUnary<AccT, T, kVItem, 1, 1, UnaryDivFunctor<AccT>>(
         &out_tmp[i][0][0], &srcdata[i][0][0], UnaryDivFunctor<AccT>(sum[i]));
-    int softmax_ptr = (first_batch + i) * stride;
-    VecT* softmax_v = reinterpret_cast<VecT*>(&softmax[softmax_ptr]);
-    VecT* reg_v = reinterpret_cast<VecT*>(&out_tmp[i][0][0]);
     kps::WriteData<VecT, VecT, kLoopsV, 1, 1, true>(
         &softmax_v[0], &reg_v[0], idx_max_v[i], 0, kWarpSize, 1);
   }