// Copyright (c) 2019 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.
#pragma once

#include <memory>
#include <string>
#include <vector>
#include "lite/backends/opencl/cl_half.h"
#include "lite/core/kernel.h"
#include "lite/kernels/opencl/image_helper.h"
#include "lite/operators/op_params.h"
#include "lite/utils/cp_logging.h"

namespace paddle {
namespace lite {
namespace kernels {
namespace opencl {

class ElementwiseAddImageCompute
    : public KernelLite<TARGET(kOpenCL),
                        PRECISION(kFP16),
                        DATALAYOUT(kImageDefault)> {
 public:
  using param_t = operators::ElementwiseParam;

  void PrepareForRun() override;

  void ReInitWhenNeeded() override;

  void GetGlobalWorkSize();

  void Run() override;

  std::string doc() const override {
    return "ElementwiseAdd using cl::Image2D, kFP16";
  }

 protected:
  param_t* ele_param_{nullptr};
  DDim last_x_dims_;
  DDim x_img_shape_ = DDim(std::vector<DDim::value_type>(
      {static_cast<DDim::value_type>(1), static_cast<DDim::value_type>(1)}));
  DDim y_img_shape_ = DDim(std::vector<DDim::value_type>(
      {static_cast<DDim::value_type>(1), static_cast<DDim::value_type>(1)}));
  DDim out_img_shape_ = DDim(std::vector<DDim::value_type>(
      {static_cast<DDim::value_type>(1), static_cast<DDim::value_type>(1)}));

  std::string kernel_func_name_{"elementwise_add"};
  std::string build_options_{"-DCL_DTYPE_half"};
  std::string time_stamp_{GetTimeStamp()};
  bool first_epoch_for_reinit_{true};
  cl::Kernel kernel_;
  cl::NDRange global_work_size_ = cl::NDRange{
      static_cast<size_t>(1), static_cast<size_t>(1), static_cast<size_t>(1)};
};

}  // namespace opencl
}  // namespace kernels
}  // namespace lite
}  // namespace paddle
