diff --git a/paddle/operators/conv2dtranspose_cudnn_op.cc b/paddle/operators/conv2dtranspose_cudnn_op.cc
index 72c470389cb80ad511199dca04644deb7053369f..4f05364550d144081ca50d94e8f9d9143dbda305 100644
--- a/paddle/operators/conv2dtranspose_cudnn_op.cc
+++ b/paddle/operators/conv2dtranspose_cudnn_op.cc
@@ -38,13 +38,13 @@ class CudnnConv2DTransposeOpMaker : public Conv2DTransposeOpMaker {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-REGISTER_OP(conv2dtranspose_cudnn, ops::Conv2DTransposeOp,
-            ops::CudnnConv2DTransposeOpMaker, conv2dtranspose_cudnn_grad,
+REGISTER_OP(conv2d_transpose_cudnn, ops::Conv2DTransposeOp,
+            ops::CudnnConv2DTransposeOpMaker, conv2d_transpose_cudnn_grad,
             ops::Conv2DTransposeOpGrad);
 
 REGISTER_OP_CPU_KERNEL(
-    conv2dtranspose_cudnn,
+    conv2d_transpose_cudnn,
     ops::GemmConv2DTransposeKernel<paddle::platform::CPUPlace, float>);
 REGISTER_OP_CPU_KERNEL(
-    conv2dtranspose_cudnn_grad,
+    conv2d_transpose_cudnn_grad,
     ops::GemmConv2DTransposeGradKernel<paddle::platform::CPUPlace, float>);
diff --git a/paddle/operators/conv2dtranspose_cudnn_op.cu b/paddle/operators/conv2dtranspose_cudnn_op.cu
index 8485bc65eb56c87b476de1334ab16a948d07ad24..1ec370a556c8248fefc0b07aea44215d503ee083 100644
--- a/paddle/operators/conv2dtranspose_cudnn_op.cu
+++ b/paddle/operators/conv2dtranspose_cudnn_op.cu
@@ -15,7 +15,7 @@
 #include "paddle/framework/eigen.h"
 #include "paddle/framework/op_registry.h"
 #include "paddle/memory/memory.h"
-#include "paddle/operators/conv2d_op.h"
+#include "paddle/operators/conv2dtranspose_op.h"
 #include "paddle/platform/assert.h"
 #include "paddle/platform/cudnn_helper.h"
 
@@ -76,7 +76,6 @@ class CudnnConvTransposeOpKernel : public framework::OpKernel<T> {
       workspace_size_limit = user_workspace_size * 1024 * 1024;
     }
     // ------------------- cudnn conv algorithm ---------------------
-    // cudnnConvolutionBwdAlgo_t algo;
     cudnnConvolutionBwdDataAlgo_t algo;
     auto handle = ctx.cuda_device_context().cudnn_handle();
     // Get the algorithm
@@ -92,7 +91,6 @@ class CudnnConvTransposeOpKernel : public framework::OpKernel<T> {
         platform::dynload::cudnnGetConvolutionBackwardDataWorkspaceSize(
             handle, cudnn_filter_desc, cudnn_input_desc, cudnn_conv_desc,
             cudnn_output_desc, algo, &workspace_size_in_bytes));
-    // workspace_size_in_bytes = std::max(workspace_size_in_bytes, tmp_size);
 
     // Allocate on GPU memory
     platform::GPUPlace gpu = boost::get<platform::GPUPlace>(ctx.GetPlace());
@@ -234,7 +232,7 @@ class CudnnConvTransposeGradOpKernel : public framework::OpKernel<T> {
 
 namespace ops = paddle::operators;
 
-REGISTER_OP_GPU_KERNEL(conv2dtranspose_cudnn,
+REGISTER_OP_GPU_KERNEL(conv2d_transpose_cudnn,
                        ops::CudnnConvTransposeOpKernel<float>);
-REGISTER_OP_GPU_KERNEL(conv2dtranspose_cudnn_grad,
+REGISTER_OP_GPU_KERNEL(conv2d_transpose_cudnn_grad,
                        ops::CudnnConvTransposeGradOpKernel<float>);
diff --git a/python/paddle/v2/framework/tests/test_conv2dtranspose_op.py b/python/paddle/v2/framework/tests/test_conv2dtranspose_op.py
index 4ed6e0bcc459100d0bdd1472c097fdaf0fa7cf4f..07443708133f9dde67a0bce9a243b4add8e92cfe 100644
--- a/python/paddle/v2/framework/tests/test_conv2dtranspose_op.py
+++ b/python/paddle/v2/framework/tests/test_conv2dtranspose_op.py
@@ -45,13 +45,12 @@ class TestConv2dTransposeOp(OpTest):
         filter_ = np.random.random(self.filter_size).astype("float32")
         output = conv2dtranspose_forward_naive(
             input_, filter_, conv2dtranspose_param).astype('float32')
-        # print 'deconv output py', output, output.shape
 
         self.inputs = {'Input': input_, 'Filter': filter_}
         self.attrs = {
             'strides': self.stride,
             'paddings': self.pad,
-            # 'dilations': self.dilations
+            'dilations': self.dilations
         }
         self.outputs = {'Output': output}
 
@@ -91,7 +90,7 @@ class TestConv2dTransposeOp(OpTest):
 
 class TestCudnn(TestConv2dTransposeOp):
     def init_op_type(self):
-        self.op_type = "conv2dtranspose_cudnn"
+        self.op_type = "conv2d_transpose_cudnn"
 
 
 if __name__ == '__main__':