diff --git a/paddle/framework/lod_tensor.h b/paddle/framework/lod_tensor.h
index ee040a9144e7543bd15dff14266b2099ec1a7c8b..4db36ee76609ac6360fe2fc7b4a366e0284d1016 100644
--- a/paddle/framework/lod_tensor.h
+++ b/paddle/framework/lod_tensor.h
@@ -1,8 +1,11 @@
 /* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at
+
    http://www.apache.org/licenses/LICENSE-2.0
+
    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
diff --git a/paddle/framework/type_defs.h b/paddle/framework/type_defs.h
index 0c0a72de31aae67fd1640e1d53bae41217846656..0d1564a7510ddf0106ff417fb0b487ddbde1ac2e 100644
--- a/paddle/framework/type_defs.h
+++ b/paddle/framework/type_defs.h
@@ -1,8 +1,11 @@
 /* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at
+
    http://www.apache.org/licenses/LICENSE-2.0
+
    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
diff --git a/paddle/operators/math/math_function.cu b/paddle/operators/math/math_function.cu
index d31b223b2c8dc5460311118bf47cc1a8c7b45b08..fc16d1b0a7a7e0d08b1c361272ed54b839d3cf49 100644
--- a/paddle/operators/math/math_function.cu
+++ b/paddle/operators/math/math_function.cu
@@ -214,10 +214,8 @@ template struct SelectedRowsAdd<platform::GPUPlace, float>;
 namespace {
 template <typename T>
 __global__ void SelectedRowsAddTensorKernel(const T* selected_rows,
-                                            const int64_t* rows,
-                                            T* tensor_out,
-                                            int64_t row_numel,
-                                            int block_size) {
+                                            const int64_t* rows, T* tensor_out,
+                                            int64_t row_numel, int block_size) {
   const int ty = blockIdx.y;
   int tid = threadIdx.x;
 
@@ -261,11 +259,11 @@ struct SelectedRowsAddTensor<platform::GPUPlace, T> {
     int block_size = 256;
     dim3 threads(block_size, 1);
     dim3 grid(1, in1_height);
-    SelectedRowsAddTensorKernel<T><<<
-        grid, threads, 0,
-        reinterpret_cast<const platform::CUDADeviceContext&>(context).stream()
-        >>>(in1_data, in1_rows.data(),
-            out_data, in1_row_numel, block_size);
+    SelectedRowsAddTensorKernel<
+        T><<<grid, threads, 0,
+             reinterpret_cast<const platform::CUDADeviceContext&>(context)
+                 .stream()>>>(in1_data, in1_rows.data(), out_data,
+                              in1_row_numel, block_size);
 
     auto out_eigen = framework::EigenVector<T>::Flatten(*output);
     auto in2_eigen = framework::EigenVector<T>::Flatten(input2);