diff --git a/paddle/fluid/operators/math/sequence_pooling_test.cc b/paddle/fluid/operators/math/sequence_pooling_test.cc
index ea92b7548bbc6576b681a79a383e590fd278b72d..c994d470d494d6b893f78d3d880b395f5dc57bee 100644
--- a/paddle/fluid/operators/math/sequence_pooling_test.cc
+++ b/paddle/fluid/operators/math/sequence_pooling_test.cc
@@ -46,7 +46,7 @@ void TestSequencePoolingSum(const paddle::framework::LoD& lod) {
   in_grad.set_lod(lod);
   auto in_dims = paddle::framework::make_ddim(
       {static_cast<int64_t>(lod[0].back()), static_cast<int64_t>(second_dim)});
-  in_grad.mutable_data<T>(in_dims, context.GetPlace());
+  in_grad.mutable_data<T>(in_dims, context->GetPlace());
 
   // check tensor contruction result
   PADDLE_ENFORCE_EQ(in_grad.dims().size(), out_grad.dims().size());
@@ -56,15 +56,15 @@ void TestSequencePoolingSum(const paddle::framework::LoD& lod) {
 
   // call functor
   paddle::operators::math::SequencePoolGradFunctor<DeviceContext, T>()(
-      *context, "SUM", out_grad, &in_grad)
+      *context, "SUM", out_grad, &in_grad);
 
-      EXPECT_EQ(in_grad.numel(), lod[0].back() * second_dim);
+  EXPECT_EQ(in_grad.numel(), lod[0].back() * second_dim);
   EXPECT_EQ(in_grad.lod(), lod);
-  for (int64_t i = 0; i < in_grad.lod().size() - 1; ++i) {
-    int64_t begin = in_grad.lod()[i];
-    int64_t end = in_grad.lod()[i + 1];
-    Tensor tmp = in_grad.Slice(begin, end);
-    for (int64_t j = 0; j != tmp.numel(); j) {
+  for (int64_t i = 0; i < in_grad.lod()[0].size() - 1; ++i) {
+    int64_t begin = in_grad.lod()[0][i];
+    int64_t end = in_grad.lod()[0][i + 1];
+    paddle::framework::Tensor tmp = in_grad.Slice(begin, end);
+    for (int64_t j = 0; j != tmp.numel() / second_dim; ++j) {
       for (int64_t m = 0; m != second_dim; ++m) {
         EXPECT_EQ(tmp.data<T>()[m + j * second_dim],
                   out_grad.data<T>()[m + i * second_dim]);
@@ -78,16 +78,14 @@ void TestSequencePoolingSum(const paddle::framework::LoD& lod) {
 
 TEST(SequencePoolingGrad, CPU_SUM) {
   paddle::framework::LoD lod1;
-  auto dim1 = std::vector<size_t>{0, 10};
-  lod1.push_back(dim1);
+  lod1.push_back(std::vector<size_t>{0, 10});
   TestSequencePoolingSum<paddle::platform::CPUDeviceContext,
-                         paddle::platform::CPUPlace, float>(dim, lod1, "SUM",
-                                                            16);
+                         paddle::platform::CPUPlace, float>(lod1);
 
   paddle::framework::LoD lod2;
   lod2.push_back(std::vector<size_t>{0, 2, 7, 10});
   TestSequencePoolingSum<paddle::platform::CPUDeviceContext,
-                         paddle::platform::CPUPlace, float>(lod2, "SUM", 128);
+                         paddle::platform::CPUPlace, float>(lod2);
 }
 
 #ifdef PADDLE_WITH_CUDA
@@ -95,11 +93,11 @@ TEST(SequencePoolingGrad, CUDA_SUM) {
   paddle::framework::LoD lod1;
   lod1.push_back(std::vector<size_t>{0, 10});
   TestSequencePoolingSum<paddle::platform::CUDADeviceContext,
-                         paddle::platform::CUDAPlace, float>(lod1, "SUM", 16);
+                         paddle::platform::CUDAPlace, float>(lod1);
 
   paddle::framework::LoD lod2;
   lod2.push_back(std::vector<size_t>{0, 2, 7, 10});
   TestSequencePoolingSum<paddle::platform::CUDADeviceContext,
-                         paddle::platform::CUDAPlace, float>(lod2, "SUM", 128);
+                         paddle::platform::CUDAPlace, float>(lod2);
 }
 #endif