diff --git a/paddle/operators/deconv2d_op.cu b/paddle/operators/deconv2d_op.cu
index 08651fc1b7b8e1f373e05f483dcddfab958d15d1..b117e7eeef89263bef8baf9272cf085447cf97f1 100644
--- a/paddle/operators/deconv2d_op.cu
+++ b/paddle/operators/deconv2d_op.cu
@@ -12,7 +12,6 @@
    See the License for the specific language governing permissions and
    limitations under the License. */
 
-#include "paddle/operators/conv2d_op.h"
 #include "paddle/operators/deconv2d_op.h"
 
 namespace ops = paddle::operators;
diff --git a/paddle/operators/deconv2d_op.h b/paddle/operators/deconv2d_op.h
index 388b8fee76c0c98400dd22bb98a22def1d5208f4..0c6b6cc09463667fc00fa9b144668551099d0309 100644
--- a/paddle/operators/deconv2d_op.h
+++ b/paddle/operators/deconv2d_op.h
@@ -158,9 +158,6 @@ class GemmDeconvGrad2DKernel : public framework::OpKernel<T> {
     int O_W = output_grad->dims()[3];
 
     // Two functors required to get to the right shape
-    paddle::operators::math::Col2ImFunctor<
-        paddle::operators::math::ColFormat::kCFO, Place, T>
-        col2im;
     paddle::operators::math::Im2ColFunctor<
         paddle::operators::math::ColFormat::kCFO, Place, T>
         im2col;
@@ -231,7 +228,7 @@ class GemmDeconvGrad2DKernel : public framework::OpKernel<T> {
                strides[0], strides[1], paddings[0], paddings[1]);
         // gemm: d_filter = x * y_grad^T
         math::matmul<Place, T>(context.device_context(), in_batch, false,
-                               col_matrix, true, T(1.0), &filter_grad, T(1.0));
+                               col_matrix, true, T(1.0), &filter_grad_, T(1.0));
       }
     }
   }