update cl image

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;

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_;

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
 
   /*

src/operators/kernel/cl/conv_kernel.cpp

-///* 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