diff --git a/paddle/operators/scatter_op.cc b/paddle/operators/scatter_op.cc
index 09a2f94ddeca22c3f28126c16b1d29f0915f1ca1..f901edefa22dc9a252e87116df756d04767a7162 100644
--- a/paddle/operators/scatter_op.cc
+++ b/paddle/operators/scatter_op.cc
@@ -1,16 +1,16 @@
 /* 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
+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
+    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.
-   See the License for the specific language governing permissions and
-   limitations under the License. */
+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.
+See the License for the specific language governing permissions and
+limitations under the License. */
 
 #include "paddle/operators/scatter_op.h"
 #include "paddle/framework/ddim.h"
diff --git a/paddle/operators/scatter_op.cu b/paddle/operators/scatter_op.cu
index e6a6fa57d93dbe87dd1e115fb75525f90cbee38c..6716b478833ff3adb6112cdb1ee25b7f1744ea1f 100644
--- a/paddle/operators/scatter_op.cu
+++ b/paddle/operators/scatter_op.cu
@@ -1,16 +1,16 @@
 /* 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
+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
+    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.
-   See the License for the specific language governing permissions and
-   limitations under the License. */
+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.
+See the License for the specific language governing permissions and
+limitations under the License. */
 
 #define EIGEN_USE_GPU
 #include "paddle/operators/scatter_op.h"
diff --git a/python/paddle/v2/framework/tests/gradient_checker.py b/python/paddle/v2/framework/tests/gradient_checker.py
index abe0b5391ab11ec3c5d67252242bf10834fbd59d..9a7a7fbf5e63d4e433576f8e980c41c72fa26cab 100644
--- a/python/paddle/v2/framework/tests/gradient_checker.py
+++ b/python/paddle/v2/framework/tests/gradient_checker.py
@@ -82,7 +82,7 @@ def get_numeric_gradient(op,
     def product(dim):
         return reduce(lambda a, b: a * b, dim, 1)
 
-    def copy_tensor():
+    def restore_inputs():
         for var_name in input_values:
             tensor_ = local_scope.find_var(var_name).get_tensor()
             tensor_.set(numpy.copy(input_values[var_name]), core.CPUPlace())
@@ -97,7 +97,7 @@ def get_numeric_gradient(op,
     # we use a for loop to compute the gradient of every element.
     for i in xrange(tensor_size):
         if in_place:
-            copy_tensor()
+            restore_inputs()
         # get one input element throw it's index i.
         origin = tensor_to_check.get_float_element(i)
 
@@ -108,7 +108,7 @@ def get_numeric_gradient(op,
 
         # plus delta to this element, run op and get the sum of the result tensor.
         if in_place:
-            copy_tensor()
+            restore_inputs()
         x_neg = origin - delta
         tensor_to_check.set_float_element(i, x_neg)
         y_neg = get_output()