diff --git a/paddle/operators/conv2d_op.cc b/paddle/operators/conv2d_op.cc
index b74b42546dbfcd68f08a3521244cda15905ff500..3aedab49920caadc7b38983718c13eb7699eed5f 100644
--- a/paddle/operators/conv2d_op.cc
+++ b/paddle/operators/conv2d_op.cc
@@ -30,7 +30,7 @@ class Conv2DOp : public framework::OperatorWithKernel {
   void InferShape(const framework::InferShapeContext &ctx) const override {
     auto in = ctx.Input<Tensor>("Input");
     auto filter = ctx.Input<Tensor>("Filter");
-    auto out = ctx.Output<Tensor>("Output");
+    auto out = ctx.Output<framework::LoDTensor>("Output");
     std::vector<int> strides = Attr<std::vector<int>>("strides");
     std::vector<int> paddings = Attr<std::vector<int>>("paddings");
     int groups = Attr<int>("groups");
@@ -102,8 +102,10 @@ class Conv2DOpGrad : public framework::OperatorWithKernel {
   void InferShape(const framework::InferShapeContext &ctx) const override {
     auto in = ctx.Input<Tensor>("Input");
     auto filter = ctx.Input<Tensor>("Filter");
-    auto d_in = ctx.Output<Tensor>(framework::GradVarName("Input"));
-    auto d_filter = ctx.Output<Tensor>(framework::GradVarName("Filter"));
+    auto d_in =
+        ctx.Output<framework::LoDTensor>(framework::GradVarName("Input"));
+    auto d_filter =
+        ctx.Output<framework::LoDTensor>(framework::GradVarName("Filter"));
     d_in->Resize(in->dims());
     d_filter->Resize(filter->dims());
   }
@@ -117,6 +119,6 @@ REGISTER_OP(conv2d, ops::Conv2DOp, ops::Conv2DOpMaker, conv2d_grad,
             ops::Conv2DOpGrad);
 
 REGISTER_OP_CPU_KERNEL(
-    conv2d, ops::GemmConv2dKernel<paddle::platform::CPUPlace, float>);
+    conv2d, ops::GemmConv2DKernel<paddle::platform::CPUPlace, float>);
 REGISTER_OP_CPU_KERNEL(
-    conv2d_grad, ops::GemmConvGrad2dKernel<paddle::platform::CPUPlace, float>);
+    conv2d_grad, ops::GemmConvGrad2DKernel<paddle::platform::CPUPlace, float>);
diff --git a/paddle/operators/conv2d_op.cu b/paddle/operators/conv2d_op.cu
index 7666f4c4c123f5758c722a8e7803f6b866bd67b1..5df818ba0496a65502dde37fd1397ec56f8c1101 100644
--- a/paddle/operators/conv2d_op.cu
+++ b/paddle/operators/conv2d_op.cu
@@ -17,6 +17,6 @@
 namespace ops = paddle::operators;
 
 REGISTER_OP_GPU_KERNEL(
-    conv2d, ops::GemmConv2dKernel<paddle::platform::GPUPlace, float>);
+    conv2d, ops::GemmConv2DKernel<paddle::platform::GPUPlace, float>);
 REGISTER_OP_GPU_KERNEL(
-    conv2d_grad, ops::GemmConvGrad2dKernel<paddle::platform::GPUPlace, float>);
+    conv2d_grad, ops::GemmConvGrad2DKernel<paddle::platform::GPUPlace, float>);
diff --git a/paddle/operators/gemm_conv2d_op.h b/paddle/operators/gemm_conv2d_op.h
index 71bf09bb7e70ad10ef650481ee962a21624776e5..a4df7b9cb9e4dc9b28a4855dd89d4e4a6e5c0ef3 100644
--- a/paddle/operators/gemm_conv2d_op.h
+++ b/paddle/operators/gemm_conv2d_op.h
@@ -25,7 +25,7 @@ namespace operators {
 using Tensor = framework::Tensor;
 
 template <typename Place, typename T>
-class GemmConv2dKernel : public framework::OpKernel {
+class GemmConv2DKernel : public framework::OpKernel {
  public:
   void Compute(const framework::ExecutionContext& context) const override {
     const Tensor* input = context.Input<Tensor>("Input");
@@ -101,7 +101,7 @@ class GemmConv2dKernel : public framework::OpKernel {
 };
 
 template <typename Place, typename T>
-class GemmConvGrad2dKernel : public framework::OpKernel {
+class GemmConvGrad2DKernel : public framework::OpKernel {
  public:
   void Compute(const framework::ExecutionContext& context) const override {
     const Tensor* input = context.Input<Tensor>("Input");