/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
//    Nathan, liujun@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
//
//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
//     and/or other oclMaterials provided with the distribution.
//
//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
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// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
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//
//M*/

#include "precomp.hpp"
#include <iomanip>

using namespace cv;
using namespace cv::ocl;
using namespace std;

#if !defined (HAVE_OPENCL)
void cv::ocl::blendLinear(const oclMat& img1, const oclMat& img2, const oclMat& weights1, const oclMat& weights2,
                            oclMat& result){throw_nogpu();}
#else
namespace cv 
{
	namespace ocl 
	{
        ////////////////////////////////////OpenCL kernel strings//////////////////////////
        extern const char *blend_linear;
	}
}

void cv::ocl::blendLinear(const oclMat& img1, const oclMat& img2, const oclMat& weights1, const oclMat& weights2,
                            oclMat& result)
{
	cv::ocl::Context *ctx = img1.clCxt;
	assert(ctx == img2.clCxt && ctx == weights1.clCxt && ctx == weights2.clCxt);
	int channels = img1.channels();
	int depth = img1.depth();
	int rows = img1.rows;
	int cols = img1.cols;
	int istep = img1.step1();
	int wstep = weights1.step1();
	size_t globalSize[] = {cols * channels, rows, 1};
	size_t localSize[] = {16, 16, 1};

	vector< pair<size_t, const void *> > args;

	if(globalSize[0]!=0)
	{
		args.push_back( make_pair( sizeof(cl_mem), (void *)&result.data ));
		args.push_back( make_pair( sizeof(cl_mem), (void *)&img1.data ));
		args.push_back( make_pair( sizeof(cl_mem), (void *)&img2.data ));
		args.push_back( make_pair( sizeof(cl_mem), (void *)&weights1.data ));
		args.push_back( make_pair( sizeof(cl_mem), (void *)&weights2.data ));
		args.push_back( make_pair( sizeof(cl_int), (void *)&rows ));
		args.push_back( make_pair( sizeof(cl_int), (void *)&cols ));
		args.push_back( make_pair( sizeof(cl_int), (void *)&istep ));
		args.push_back( make_pair( sizeof(cl_int), (void *)&wstep ));
		std::string kernelName = "BlendLinear";

		openCLExecuteKernel(ctx, &blend_linear, kernelName, globalSize, localSize, args, channels, depth);
	}
}
#endif