Merge pull request #2156 from ilya-lavrenov:tapi_reduce
This commit is contained in:
Andrey Pavlenko
148
modules/core/src/opencl/reduce2.cl
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148
modules/core/src/opencl/reduce2.cl
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the copyright holders or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifdef DOUBLE_SUPPORT
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#ifdef cl_amd_fp64
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#pragma OPENCL EXTENSION cl_amd_fp64:enable
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#elif defined (cl_khr_fp64)
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#pragma OPENCL EXTENSION cl_khr_fp64:enable
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#endif
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#endif
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#if ddepth == 0
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#define MIN_VAL 0
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#define MAX_VAL 255
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#elif ddepth == 1
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#define MIN_VAL -128
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#define MAX_VAL 127
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#elif ddepth == 2
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#define MIN_VAL 0
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#define MAX_VAL 65535
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#elif ddepth == 3
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#define MIN_VAL -32768
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#define MAX_VAL 32767
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#elif ddepth == 4
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#define MIN_VAL INT_MIN
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#define MAX_VAL INT_MAX
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#elif ddepth == 5
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#define MIN_VAL (-FLT_MAX)
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#define MAX_VAL FLT_MAX
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#elif ddepth == 6
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#define MIN_VAL (-DBL_MAX)
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#define MAX_VAL DBL_MAX
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#else
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#error "Unsupported depth"
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#endif
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#define noconvert
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#ifdef OCL_CV_REDUCE_SUM
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#define INIT_VALUE 0
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#define PROCESS_ELEM(acc, value) acc += value
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#elif defined(OCL_CV_REDUCE_MAX)
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#define INIT_VALUE MIN_VAL
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#define PROCESS_ELEM(acc, value) acc = value > acc ? value : acc
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#elif defined(OCL_CV_REDUCE_MIN)
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#define INIT_VALUE MAX_VAL
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#define PROCESS_ELEM(acc, value) acc = value < acc ? value : acc
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#elif defined(OCL_CV_REDUCE_AVG)
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#error "This operation should be implemented through OCL_CV_REDUCE_SUM"
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#else
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#error "No operation is specified"
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#endif
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__kernel void reduce(__global const uchar * srcptr, int src_step, int src_offset, int rows, int cols,
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__global uchar * dstptr, int dst_step, int dst_offset)
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{
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#if dim == 0 // reduce to a single row
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int x = get_global_id(0);
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if (x < cols)
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{
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int src_index = x * (int)sizeof(srcT) * cn + src_offset;
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__global dstT * dst = (__global dstT *)(dstptr + dst_offset) + x * cn;
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dstT tmp[cn] = { INIT_VALUE };
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for (int y = 0; y < rows; ++y, src_index += src_step)
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{
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__global const srcT * src = (__global const srcT *)(srcptr + src_index);
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#pragma unroll
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for (int c = 0; c < cn; ++c)
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{
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dstT value = convertToDT(src[c]);
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PROCESS_ELEM(tmp[c], value);
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}
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}
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#pragma unroll
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for (int c = 0; c < cn; ++c)
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dst[c] = tmp[c];
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}
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#elif dim == 1 // reduce to a single column
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int y = get_global_id(0);
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if (y < rows)
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{
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int src_index = mad24(y, src_step, src_offset);
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int dst_index = mad24(y, dst_step, dst_offset);
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__global const srcT * src = (__global const srcT *)(srcptr + src_index);
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__global dstT * dst = (__global dstT *)(dstptr + dst_index);
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dstT tmp[cn] = { INIT_VALUE };
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for (int x = 0; x < cols; ++x, src += cn)
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{
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#pragma unroll
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for (int c = 0; c < cn; ++c)
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{
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dstT value = convertToDT(src[c]);
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PROCESS_ELEM(tmp[c], value);
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}
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}
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#pragma unroll
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for (int c = 0; c < cn; ++c)
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dst[c] = tmp[c];
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}
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#else
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#error "Dims must be either 0 or 1"
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#endif
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}
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