/*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
//    Chunpeng Zhang, chunpeng@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.
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// 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,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
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//M*/

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

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


#if !defined(HAVE_OPENCL)

void cv::ocl::columnSum(const oclMat& src,oclMat& dst){ throw_nogpu(); }

#else /*!HAVE_OPENCL */

namespace cv 
{ 
	namespace ocl
	{
		extern const char* imgproc_columnsum;
	}
}

void cv::ocl::columnSum(const oclMat& src,oclMat& dst)
{
	CV_Assert(src.type() == CV_32FC1);

	dst.create(src.size(), src.type());

	Context *clCxt = src.clCxt;                                        
		       
	const std::string kernelName = "columnSum";
		
	std::vector< pair<size_t, const void *> > args;

	args.push_back( make_pair( sizeof(cl_mem), (void *)&src.data));		
	args.push_back( make_pair( sizeof(cl_mem), (void *)&dst.data));			
	args.push_back( make_pair( sizeof(cl_int), (void *)&src.cols));		
	args.push_back( make_pair( sizeof(cl_int), (void *)&src.rows));			
	args.push_back( make_pair( sizeof(cl_int), (void *)&src.step));		
	args.push_back( make_pair( sizeof(cl_int), (void *)&dst.step));		

	size_t globalThreads[3] = {dst.cols, dst.rows, 1};					
	size_t localThreads[3]  = {16, 16, 1};		

	openCLExecuteKernel(clCxt, &imgproc_columnsum, kernelName, globalThreads, localThreads, args, src.channels(), src.depth());

}
#endif