diff --git a/paddle/operators/adagrad_op.cu b/paddle/operators/adagrad_op.cu
index 86b3dd860d9a647f6fc0ec1d699f08158772b306..fed2e29367de50b3c4d115ca22e2b6ed59b468bc 100644
--- a/paddle/operators/adagrad_op.cu
+++ b/paddle/operators/adagrad_op.cu
@@ -79,12 +79,12 @@ struct SparseAdagradFunctor<platform::CUDADeviceContext, T> {
                   framework::Tensor* moment, framework::Tensor* param) {
     // 1. g_m.rows = set(g.rows)
     auto grad_width = grad.value().dims()[1];
-    math::scatter::MergeAdd<platform::CPUDeviceContext, T> merge_func;
+    math::scatter::MergeAdd<platform::CUDADeviceContext, T> merge_func;
     auto grad_merge = merge_func(context, grad);
     auto* grad_merge_data = grad_merge.mutable_value()->template data<T>();
-    auto& merge_rows = grad_merge.rows;
+    auto& merge_rows = grad_merge.rows();
     // 2. m += g_m * g_m
-    math::scatter::Mul<platform::CPUDeviceContext, T> sqare_func;
+    math::scatter::Mul<platform::CUDADeviceContext, T> sqare_func;
     auto grad_square = sqare_func(context, grad_merge, grad_merge);
 
     math::SelectedRowsAddToTensor<platform::CUDADeviceContext, T> functor;
@@ -95,11 +95,13 @@ struct SparseAdagradFunctor<platform::CUDADeviceContext, T> {
     auto* param_data = param->data<T>();
     auto* moment_data = moment->data<T>();
 
+    const int block_size = 256;
+    dim3 threads(block_size, 1);
     dim3 grid2(1, merge_rows.size());
     SparseAdagradFunctorKernel<
         T, 256><<<grid2, threads, 0,
                   reinterpret_cast<const platform::CUDADeviceContext&>(context)
-                      .stream()>>>(grad_merge_data, grad_merge->rows().data(),
+                      .stream()>>>(grad_merge_data, grad_merge.rows().data(),
                                    lr, param_data, moment_data, grad_width,
                                    epsilon);
   }
diff --git a/paddle/operators/math/selected_rows_functor.cc b/paddle/operators/math/selected_rows_functor.cc
index c9f3c10c61700d7faf91085c3f3d0564662873ae..8a1ebb58c26578f076bf243adfbd51d10c682b99 100644
--- a/paddle/operators/math/selected_rows_functor.cc
+++ b/paddle/operators/math/selected_rows_functor.cc
@@ -233,10 +233,9 @@ template struct MergeAdd<platform::CPUDeviceContext, int64_t>;
 
 template <typename T>
 struct UpdateToTensor<platform::CPUDeviceContext, T> {
-  framework::Tensor operator()(const platform::CPUDeviceContext& context,
-                               const ScatterOps& op,
-                               const framework::SelectedRows& input1,
-                               framework::Tensor* input2) {
+  void operator()(const platform::CPUDeviceContext& context,
+                  const ScatterOps& op, const framework::SelectedRows& input1,
+                  framework::Tensor* input2) {
     auto in1_height = input1.height();
     auto in2_dims = input2->dims();
     PADDLE_ENFORCE_EQ(in1_height, in2_dims[0]);
diff --git a/paddle/operators/math/selected_rows_functor.cu b/paddle/operators/math/selected_rows_functor.cu
index 48413403db513056299fc578a64ca7a63aea12c3..0ee456f9bc61436bd0f2f8ef20dd1654e7e56d56 100644
--- a/paddle/operators/math/selected_rows_functor.cu
+++ b/paddle/operators/math/selected_rows_functor.cu
@@ -12,6 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
+#include <set>
+
 #include "paddle/operators/math/math_function.h"
 #include "paddle/operators/math/selected_rows_functor.h"
 #include "paddle/platform/cuda_helper.h"
@@ -251,8 +253,8 @@ __global__ void MergeAddKernel(const T* input, const int64_t* input_rows,
 }
 
 template <typename T>
-struct MergeAdd<platform::GPUDeviceContext, T> {
-  framework::SelectedRows operator()(const platform::GPUDeviceContext& context,
+struct MergeAdd<platform::CUDADeviceContext, T> {
+  framework::SelectedRows operator()(const platform::CUDADeviceContext& context,
                                      const framework::SelectedRows& input) {
     framework::SelectedRows out;
     auto input_rows = input.rows();
@@ -288,10 +290,10 @@ struct MergeAdd<platform::GPUDeviceContext, T> {
   }
 };
 
-template struct MergeAdd<platform::GPUDeviceContext, float>;
-template struct MergeAdd<platform::GPUDeviceContext, double>;
-template struct MergeAdd<platform::GPUDeviceContext, int>;
-template struct MergeAdd<platform::GPUDeviceContext, int64_t>;
+template struct MergeAdd<platform::CUDADeviceContext, float>;
+template struct MergeAdd<platform::CUDADeviceContext, double>;
+template struct MergeAdd<platform::CUDADeviceContext, int>;
+template struct MergeAdd<platform::CUDADeviceContext, int64_t>;
 
 template <typename T, int block_size>
 __global__ void UpdateToTensorKernel(const T* selected_rows,
@@ -343,14 +345,14 @@ __global__ void UpdateToTensorKernel(const T* selected_rows,
 }
 
 template <typename T>
-struct UpdateToTensor<platform::GPUDeviceContext, T> {
-  framework::Tensor operator()(const platform::GPUDeviceContext& context,
-                               const ScatterOps& op,
-                               const framework::SelectedRows& input1,
-                               framework::Tensor* input2) {
+struct UpdateToTensor<platform::CUDADeviceContext, T> {
+  void operator()(const platform::CUDADeviceContext& context,
+                  const ScatterOps& op, const framework::SelectedRows& input1,
+                  framework::Tensor* input2) {
     // NOTE: Use SelectedRowsAddToTensor for better performance
     //       no additional MergeAdd called.
-    auto merged_in1 = MergeAdd()(context, input1);
+    MergeAdd<platform::CUDADeviceContext, T> merge_func;
+    auto merged_in1 = merge_func(context, input1);
 
     auto in1_height = merged_in1.height();
     auto in2_dims = input2->dims();
@@ -362,14 +364,14 @@ struct UpdateToTensor<platform::GPUDeviceContext, T> {
     int64_t in1_row_numel = in1_value.numel() / in1_rows.size();
     PADDLE_ENFORCE_EQ(in1_row_numel, input2->numel() / in1_height);
 
-    auto* in1_data = in1_value.data<T>();
-    auto* input2_data = input2->data<T>();
+    auto* in1_data = in1_value.template data<T>();
+    auto* in2_data = input2->data<T>();
 
-    dim3 threads(PADDLE_CUDA_NUM_THREADS, 1);
+    dim3 threads(platform::PADDLE_CUDA_NUM_THREADS, 1);
     dim3 grid(1, in1_rows.size());
-    UpdateToTensorKernel<
-        T, PADDLE_CUDA_NUM_THREADS><<<grid, threads, 0, context.stream()>>>(
-        in1_data, in1_rows.data(), op, in2_data, in1_row_numel);
+    UpdateToTensorKernel<T, platform::PADDLE_CUDA_NUM_THREADS><<<
+        grid, threads, 0, context.stream()>>>(in1_data, in1_rows.data(), op,
+                                              in2_data, in1_row_numel);
   }
 };
 }  // namespace scatter
diff --git a/paddle/operators/math/selected_rows_functor.h b/paddle/operators/math/selected_rows_functor.h
index d4bef72980f8374c1519c1774b72b67d67397a2c..09d4631905f90f78772368ad71b11826877bdc34 100644
--- a/paddle/operators/math/selected_rows_functor.h
+++ b/paddle/operators/math/selected_rows_functor.h
@@ -123,10 +123,9 @@ enum class ScatterOps { ASSIGN, ADD, SUB, SUBBY, MUL, DIV, DIVBY };
 // out = seleted_rows_in / tensor
 template <typename DeviceContext, typename T>
 struct UpdateToTensor {
-  framework::Tensor operator()(const DeviceContext& context,
-                               const ScatterOps& op,
-                               const framework::SelectedRows& input1,
-                               framework::Tensor* input2);
+  void operator()(const DeviceContext& context, const ScatterOps& op,
+                  const framework::SelectedRows& input1,
+                  framework::Tensor* input2);
 };
 
 }  // namespace scatter