diff --git a/paddle/cuda/include/hl_device_functions.cuh b/paddle/cuda/include/hl_device_functions.cuh
index 27e3f450c5c1c987f4b3fbc2eb1e52a1696c7320..88d950d6c17132d1d9969d0f3766395377e2de96 100755
--- a/paddle/cuda/include/hl_device_functions.cuh
+++ b/paddle/cuda/include/hl_device_functions.cuh
@@ -16,28 +16,37 @@ limitations under the License. */
 #ifndef HL_DEVICE_FUNCTIONS_CUH_
 #define HL_DEVICE_FUNCTIONS_CUH_
 
-namespace hppl {
-
-static __inline__ __device__ double atomicAdd(double* address, double val) {
-    // NOLINTNEXTLINE
-    unsigned long long int* address_as_ull = (unsigned long long int*)address;
-    unsigned long long int old = *address_as_ull, assumed; // NOLINT
-
-    do {
-        assumed = old;
-        old = atomicCAS(address_as_ull,
-                        assumed,
-                        __double_as_longlong(val +
-                        __longlong_as_double(assumed)));
-    } while (assumed != old);
-
-    return __longlong_as_double(old);
-}
+namespace paddle {
+
+template <class T>
+inline __device__ T paddleAtomicAdd(T* address, T val);
 
-}  // namespace hppl
+template <>
+inline __device__ float paddleAtomicAdd(float* address, float val) {
+  return atomicAdd(address, val);
+}
 
-#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ < 600
-using hppl::atomicAdd;
+template <>
+inline __device__ double paddleAtomicAdd(double* address, double val) {
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
+  return atomicAdd(address, val);
+#else
+  // NOLINTNEXTLINE
+  unsigned long long int* address_as_ull = (unsigned long long int*)address;
+  unsigned long long int old = *address_as_ull, assumed; // NOLINT
+
+  do {
+    assumed = old;
+    old = atomicCAS(address_as_ull,
+                    assumed,
+                    __double_as_longlong(val +
+                    __longlong_as_double(assumed)));
+  } while (assumed != old);
+
+  return __longlong_as_double(old);
 #endif
+}
+}  // namespace paddle
+
 
 #endif /* HL_DEVICE_FUNCTIONS_CUH_ */
diff --git a/paddle/cuda/include/hl_gpu_lstm.cuh b/paddle/cuda/include/hl_gpu_lstm.cuh
index 2ca33f2b13a1f7c0863275be2993583996f70e50..07806e11c18a2b47d79237587a0e882d7bf2a1d2 100644
--- a/paddle/cuda/include/hl_gpu_lstm.cuh
+++ b/paddle/cuda/include/hl_gpu_lstm.cuh
@@ -192,10 +192,10 @@ __global__ void KeLstmBackward(Op op,
 
   if (isBatch) {
     if (value.prevStateValue) {
-      if (grad.checkIgGrad) atomicAdd(grad.checkIgGrad+frameIdx, rCheckIGrad);
-      if (grad.checkFgGrad) atomicAdd(grad.checkFgGrad+frameIdx, rCheckFGrad);
+      if (grad.checkIgGrad) paddle::paddleAtomicAdd(grad.checkIgGrad+frameIdx, rCheckIGrad);
+      if (grad.checkFgGrad) paddle::paddleAtomicAdd(grad.checkFgGrad+frameIdx, rCheckFGrad);
     }
-    if (grad.checkOgGrad) atomicAdd(grad.checkOgGrad+frameIdx, rCheckOGrad);
+    if (grad.checkOgGrad) paddle::paddleAtomicAdd(grad.checkOgGrad+frameIdx, rCheckOGrad);
   } else {
     if (value.prevStateValue) {
       if (grad.checkIgGrad) grad.checkIgGrad[frameIdx] += rCheckIGrad;
diff --git a/paddle/cuda/src/hl_cuda_lstm.cu b/paddle/cuda/src/hl_cuda_lstm.cu
index 64699c9f6d45040a05c9d8a1371f1afa4cfb43e3..cf009620bf69d05397c5e03de3f7f2856bf4ff6b 100644
--- a/paddle/cuda/src/hl_cuda_lstm.cu
+++ b/paddle/cuda/src/hl_cuda_lstm.cu
@@ -564,11 +564,11 @@ __global__ void KeLstmBackward(real *gateValue,
 
   /* TODO: Temporary save & merger in another kernel */
   if (frameIdy == 1) {
-    if (checkIgGrad) atomicAdd(checkIgGrad+frameIdx, rCheckGrad);
+    if (checkIgGrad) paddle::paddleAtomicAdd(checkIgGrad+frameIdx, rCheckGrad);
   } else if (frameIdy == 2) {
-    if (checkFgGrad) atomicAdd(checkFgGrad+frameIdx, rCheckGrad);
+    if (checkFgGrad) paddle::paddleAtomicAdd(checkFgGrad+frameIdx, rCheckGrad);
   } else if (frameIdy == 3) {
-    if (checkOgGrad) atomicAdd(checkOgGrad+frameIdx, rCheckGrad);
+    if (checkOgGrad) paddle::paddleAtomicAdd(checkOgGrad+frameIdx, rCheckGrad);
   }
 }
 
diff --git a/paddle/cuda/src/hl_cuda_matrix.cu b/paddle/cuda/src/hl_cuda_matrix.cu
index ecc44944e4fa19b064fb0aa09d81e2143e5bc85d..38e4f16217c2a4779ca9b1fd76df6276819645ff 100644
--- a/paddle/cuda/src/hl_cuda_matrix.cu
+++ b/paddle/cuda/src/hl_cuda_matrix.cu
@@ -623,7 +623,7 @@ __global__ void KeCosSimDerivative(real* grad,
         prevGradY[index] +=
           scale * grad[ty] * prevOutX[index] * reciprocal;
       } else {
-        atomicAdd(prevGradY + index,
+        paddle::paddleAtomicAdd(prevGradY + index,
           scale * grad[ty] * prevOutX[index] * reciprocal);
       }
     }
@@ -640,7 +640,7 @@ __global__ void KeCosSimDerivative(real* grad,
           (prevOutX[index] * reciprocalXY -
            prevOutY[index] * reciprocalSquareSumY);
       } else {
-        atomicAdd(prevGradY + index, output[ty] * grad[ty] *
+        paddle::paddleAtomicAdd(prevGradY + index, output[ty] * grad[ty] *
           (prevOutX[index] * reciprocalXY -
            prevOutY[index] * reciprocalSquareSumY));
       }
diff --git a/paddle/cuda/src/hl_cuda_sequence.cu b/paddle/cuda/src/hl_cuda_sequence.cu
index f88a2682fd0604c4c33cb6dd7d49d63e058bebc1..e028880156e5b191d032253bc62739c9e5ab34fc 100644
--- a/paddle/cuda/src/hl_cuda_sequence.cu
+++ b/paddle/cuda/src/hl_cuda_sequence.cu
@@ -362,7 +362,7 @@ __global__ void KeMatrixAddRows(real* output,
         if (AddRow == 0) {
           outputData[i] += tableData[i];
         } else {
-          atomicAdd(&tableData[i], outputData[i]);
+          paddle::paddleAtomicAdd(&tableData[i], outputData[i]);
         }
       }
     }
diff --git a/paddle/cuda/src/hl_cuda_sparse.cuh b/paddle/cuda/src/hl_cuda_sparse.cuh
index becb6c66492c1b208e303af959352f1a246349c2..db5c9ce979885a173c8caadc8f6b47836f1771b5 100644
--- a/paddle/cuda/src/hl_cuda_sparse.cuh
+++ b/paddle/cuda/src/hl_cuda_sparse.cuh
@@ -280,7 +280,7 @@ __global__ void KeSMatrixCscMulDense(real *C_d,
         if (index_n_t < dimN) {
           real tmp;
           tmp = alpha*a_r*b_r[n];
-          atomicAdd(C_d_r, tmp);
+          paddle::paddleAtomicAdd(C_d_r, tmp);
           C_d_r += CU_CSC_MUL_DENSE_THREAD_X;
           index_n_t += CU_CSC_MUL_DENSE_THREAD_X;
         }
@@ -328,7 +328,7 @@ __global__ void KeSMatrixCscMulDense(real *C_d,
         if (index_n_t < dimN) {
           real tmp;
           tmp = alpha*a_r*b_r[n];
-          atomicAdd(C_d_r, tmp);
+          paddle::paddleAtomicAdd(C_d_r, tmp);
           C_d_r += CU_CSC_MUL_DENSE_THREAD_X;
           index_n_t += CU_CSC_MUL_DENSE_THREAD_X;
         }
@@ -629,7 +629,7 @@ __global__ void KeSMatrixDenseMulCsr(real *C_d,
       for (int n=0; n < CU_DM_CSR_N; n++) {
         if (index_m_t++ < dimM) {
           tmp = alpha * b_r * a_r[n];
-          atomicAdd(C_d_r, tmp);
+          paddle::paddleAtomicAdd(C_d_r, tmp);
           C_d_r += dimN;
         }
       }
@@ -660,7 +660,7 @@ __global__ void KeSMatrixDenseMulCsr(real *C_d,
       for (int n=0; n < CU_DM_CSR_N; n++) {
         if (index_m_t++ < dimM) {
           tmp = alpha * b_r * a_r[n];
-          atomicAdd(C_d_r, tmp);
+          paddle::paddleAtomicAdd(C_d_r, tmp);
           C_d_r += dimN;
         }
       }
@@ -912,7 +912,7 @@ __global__ void KeSMatrixCsrColumnSum(real* a_val, real* csr_val,
   for (int idx = gid; idx < dimNNZ; idx += gridDim.x * blockDim.x) {
     int colIdx = csr_col[idx];
     real val = csr_val[idx];
-    atomicAdd(a_val + colIdx, val);
+    paddle::paddleAtomicAdd(a_val + colIdx, val);
   }
 }
 
diff --git a/paddle/cuda/src/hl_table_apply.cu b/paddle/cuda/src/hl_table_apply.cu
index 05335c5f835fc52d48753d34cca1037e371cddf2..52ee4610edf670dc339e0ece66d58153c0164499 100644
--- a/paddle/cuda/src/hl_table_apply.cu
+++ b/paddle/cuda/src/hl_table_apply.cu
@@ -35,7 +35,7 @@ __global__ void KeMatrixAddRows(real* output, int ldo,
       real *tab = table + tableId * ldt;
       for (int i = idx; i < dim; i += blockDimX) {
         if (AddRow) {
-          atomicAdd(&tab[i], out[i]);
+          paddle::paddleAtomicAdd(&tab[i], out[i]);
         } else {
           out[i] += tab[i];
         }