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/*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, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 materials 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 copyright holders 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
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifdef DOUBLE_SUPPORT
#ifdef cl_amd_fp64
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#elif defined (cl_khr_fp64)
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
#endif
#if ddepth == 0
#define MIN_VAL 0
#define MAX_VAL 255
#elif ddepth == 1
#define MIN_VAL -128
#define MAX_VAL 127
#elif ddepth == 2
#define MIN_VAL 0
#define MAX_VAL 65535
#elif ddepth == 3
#define MIN_VAL -32768
#define MAX_VAL 32767
#elif ddepth == 4
#define MIN_VAL INT_MIN
#define MAX_VAL INT_MAX
#elif ddepth == 5
#define MIN_VAL (-FLT_MAX)
#define MAX_VAL FLT_MAX
#elif ddepth == 6
#define MIN_VAL (-DBL_MAX)
#define MAX_VAL DBL_MAX
#else
#error "Unsupported depth"
#endif
#define noconvert
#if defined OCL_CV_REDUCE_SUM || defined OCL_CV_REDUCE_AVG
#define INIT_VALUE 0
#define PROCESS_ELEM(acc, value) acc += value
#elif defined OCL_CV_REDUCE_MAX
#define INIT_VALUE MIN_VAL
#define PROCESS_ELEM(acc, value) acc = max(value, acc)
#elif defined OCL_CV_REDUCE_MIN
#define INIT_VALUE MAX_VAL
#define PROCESS_ELEM(acc, value) acc = min(value, acc)
#else
#error "No operation is specified"
#endif
#ifdef OP_REDUCE_PRE
__kernel void reduce_horz_opt(__global const uchar * srcptr, int src_step, int src_offset, int rows, int cols,
__global uchar * dstptr, int dst_step, int dst_offset
#ifdef OCL_CV_REDUCE_AVG
, float fscale
#endif
)
{
__local bufT lsmem[TILE_HEIGHT][BUF_COLS][cn];
int x = get_global_id(0);
int y = get_global_id(1);
int liy = get_local_id(1);
if ((x < BUF_COLS) && (y < rows))
{
int src_index = mad24(y, src_step, mad24(x, (int)sizeof(srcT) * cn, src_offset));
__global const srcT * src = (__global const srcT *)(srcptr + src_index);
bufT tmp[cn];
#pragma unroll
for (int c = 0; c < cn; ++c)
tmp[c] = INIT_VALUE;
int src_step_mul = BUF_COLS * cn;
for (int idx = x; idx < cols; idx += BUF_COLS, src += src_step_mul)
{
#pragma unroll
for (int c = 0; c < cn; ++c)
{
bufT value = convertToBufT(src[c]);
PROCESS_ELEM(tmp[c], value);
}
}
#pragma unroll
for (int c = 0; c < cn; ++c)
lsmem[liy][x][c] = tmp[c];
}
barrier(CLK_LOCAL_MEM_FENCE);
if ((x < BUF_COLS / 2) && (y < rows))
{
#pragma unroll
for (int c = 0; c < cn; ++c)
{
PROCESS_ELEM(lsmem[liy][x][c], lsmem[liy][x + BUF_COLS / 2][c]);
}
}
barrier(CLK_LOCAL_MEM_FENCE);
if ((x == 0) && (y < rows))
{
int dst_index = mad24(y, dst_step, dst_offset);
__global dstT * dst = (__global dstT *)(dstptr + dst_index);
bufT tmp[cn];
#pragma unroll
for (int c = 0; c < cn; ++c)
tmp[c] = INIT_VALUE;
#pragma unroll
for (int xin = 0; xin < BUF_COLS / 2; xin ++)
{
#pragma unroll
for (int c = 0; c < cn; ++c)
{
PROCESS_ELEM(tmp[c], lsmem[liy][xin][c]);
}
}
#pragma unroll
for (int c = 0; c < cn; ++c)
#ifdef OCL_CV_REDUCE_AVG
dst[c] = convertToDT(convertToWT(tmp[c]) * fscale);
#else
dst[c] = convertToDT(tmp[c]);
#endif
}
}
#else
__kernel void reduce(__global const uchar * srcptr, int src_step, int src_offset, int rows, int cols,
__global uchar * dstptr, int dst_step, int dst_offset
#ifdef OCL_CV_REDUCE_AVG
, float fscale
#endif
)
{
#if dim == 0 // reduce to a single row
int x = get_global_id(0);
if (x < cols)
{
int src_index = mad24(x, (int)sizeof(srcT) * cn, src_offset);
int dst_index = mad24(x, (int)sizeof(dstT0) * cn, dst_offset);
__global dstT0 * dst = (__global dstT0 *)(dstptr + dst_index);
dstT tmp[cn];
#pragma unroll
for (int c = 0; c < cn; ++c)
tmp[c] = INIT_VALUE;
for (int y = 0; y < rows; ++y, src_index += src_step)
{
__global const srcT * src = (__global const srcT *)(srcptr + src_index);
#pragma unroll
for (int c = 0; c < cn; ++c)
{
dstT value = convertToDT(src[c]);
PROCESS_ELEM(tmp[c], value);
}
}
#pragma unroll
for (int c = 0; c < cn; ++c)
#ifdef OCL_CV_REDUCE_AVG
dst[c] = convertToDT0(convertToWT(tmp[c]) * fscale);
#else
dst[c] = convertToDT0(tmp[c]);
#endif
}
#elif dim == 1 // reduce to a single column
int y = get_global_id(0);
if (y < rows)
{
int src_index = mad24(y, src_step, src_offset);
int dst_index = mad24(y, dst_step, dst_offset);
__global const srcT * src = (__global const srcT *)(srcptr + src_index);
__global dstT * dst = (__global dstT *)(dstptr + dst_index);
dstT tmp[cn];
#pragma unroll
for (int c = 0; c < cn; ++c)
tmp[c] = INIT_VALUE;
for (int x = 0; x < cols; ++x, src += cn)
{
#pragma unroll
for (int c = 0; c < cn; ++c)
{
dstT value = convertToDT(src[c]);
PROCESS_ELEM(tmp[c], value);
}
}
#pragma unroll
for (int c = 0; c < cn; ++c)
#ifdef OCL_CV_REDUCE_AVG
dst[c] = convertToDT0(convertToWT(tmp[c]) * fscale);
#else
dst[c] = convertToDT0(tmp[c]);
#endif
}
#else
#error "Dims must be either 0 or 1"
#endif
}
#endif