diff --git a/src/framework/cl/cl_helper.h b/src/framework/cl/cl_helper.h
index 7562ab78695376d9766a72eefc2d5482283c49b7..7890ad0656cf792ef42ae1c11d761f9f038a05f6 100644
--- a/src/framework/cl/cl_helper.h
+++ b/src/framework/cl/cl_helper.h
@@ -47,6 +47,9 @@ class CLHelper {
     return scope_->Context();
   }
 
+
+
+
  private:
   CLScope *scope_;
   std::vector<std::unique_ptr<_cl_kernel, CLKernelDeleter>> kernels;
diff --git a/src/framework/cl/cl_image.h b/src/framework/cl/cl_image.h
index c1f1cd6422f76176d99a09dcef7ea42c5e5acec4..0b842fb56fa4860c759cb6438b85a07df832f66f 100644
--- a/src/framework/cl/cl_image.h
+++ b/src/framework/cl/cl_image.h
@@ -23,13 +23,23 @@ namespace framework {
 
 class CLImage {
  public:
-  CLImage(cl_context context, float *tensorInput, DDim ddim) : tensorDims_(ddim), context_(context) {
+  CLImage() = default;
+
+  void Init(cl_context context, float *tensorInput, DDim ddim) {
+  }
+
+  void Init(cl_context context, DDim ddim) {
 
   }
 
   const DDim &TensorDim();
 
+  std::vector<size_t> DefaultWorkSize() {
+    return {};
+  }
+
  private:
+  bool initialized_ = false;
   cl_mem cl_image_;
   DDim tensorDims_;
   cl_context context_;
diff --git a/src/framework/operator.h b/src/framework/operator.h
index 8908f036617a04b27744767fd456a655bdbbe9a0..56a2bc734f3d2766bdc6ad22e87ce7da32c6c39c 100644
--- a/src/framework/operator.h
+++ b/src/framework/operator.h
@@ -151,11 +151,9 @@ class OpKernelBase {
   OpKernelBase() = default;
 
 #ifdef PADDLE_MOBILE_CL
-
   virtual void InitCLHelper(CLScope *clScope) {
     cl_helper_ = CLHelper(clScope);
   }
-
 #endif
 
   /*
diff --git a/src/operators/kernel/cl/conv_kernel.cpp b/src/operators/kernel/cl/conv_kernel.cpp
index bd0dffe8af17b7e21fa83c1b78a45230ae355a58..bc8949b6b64fdb5da2fa4fb2c69dbdb75251087c 100644
--- a/src/operators/kernel/cl/conv_kernel.cpp
+++ b/src/operators/kernel/cl/conv_kernel.cpp
@@ -1,41 +1,42 @@
-///* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
-//
-//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
-//
-//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. */
-//
-//#ifdef CONV_OP
-//
-//#include "operators/kernel/conv_kernel.h"
-//#include "operators/kernel/central-arm-func/conv_arm_func.h"
-//
-//namespace paddle_mobile {
-//namespace operators {
-//
-//template <>
-//bool ConvKernel<GPU_CL, float>::Init(ConvParam<GPU_CL> *param) {
-//  this->cl_helper_.AddKernel("conv_3x3", "conv_kernel.cl");
-//  return true;
-//}
-//
-//template <>
-//void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) {
-//  auto kernel = this->cl_helper_.KernelAt(0);
-//
-//
-//}
-//
-//template class ConvKernel<GPU_CL, float>;
-//
-//}  // namespace operators
-//}  // namespace paddle_mobile
-//
-//#endif
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+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
+
+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. */
+
+#ifdef CONV_OP
+
+#include "operators/kernel/conv_kernel.h"
+#include "operators/kernel/central-arm-func/conv_arm_func.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+template <>
+bool ConvKernel<GPU_CL, float>::Init(ConvParam<GPU_CL> *param) {
+  this->cl_helper_.AddKernel("conv_3x3", "conv_kernel.cl");
+  return true;
+}
+
+template <>
+void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) {
+  auto kernel = this->cl_helper_.KernelAt(0);
+  size_t global_work_size[3] = {1, 2, 3};
+  clEnqueueNDRangeKernel(this->cl_helper_.CLCommandQueue(), kernel, 3, NULL, global_work_size, NULL, 0, NULL, NULL);
+
+}
+
+template class ConvKernel<GPU_CL, float>;
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif