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mathfuncs.cpp
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2237 lines (1938 loc) · 85 KB
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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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
// Copyright (C) 2014-2015, Itseez Inc., 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 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
// 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*/
#include "precomp.hpp"
#include "opencl_kernels_core.hpp"
#include <atomic>
#include <limits>
#include <iostream>
#include <algorithm>
#include <cmath>
#include "mathfuncs.hpp"
namespace cv
{
typedef void (*MathFunc)(const void* src, void* dst, int len);
#ifdef HAVE_OPENCL
enum { OCL_OP_LOG=0, OCL_OP_EXP=1, OCL_OP_MAG=2, OCL_OP_PHASE_DEGREES=3, OCL_OP_PHASE_RADIANS=4 };
static const char* oclop2str[] = { "OP_LOG", "OP_EXP", "OP_MAG", "OP_PHASE_DEGREES", "OP_PHASE_RADIANS", 0 };
static bool ocl_math_op(InputArray _src1, InputArray _src2, OutputArray _dst, int oclop)
{
int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
int kercn = oclop == OCL_OP_PHASE_DEGREES ||
oclop == OCL_OP_PHASE_RADIANS ? 1 : ocl::predictOptimalVectorWidth(_src1, _src2, _dst);
const ocl::Device d = ocl::Device::getDefault();
bool double_support = d.doubleFPConfig() > 0;
if (!double_support && depth == CV_64F)
return false;
int rowsPerWI = d.isIntel() ? 4 : 1;
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
format("-D %s -D %s -D dstT=%s -D DEPTH_dst=%d -D rowsPerWI=%d%s", _src2.empty() ? "UNARY_OP" : "BINARY_OP",
oclop2str[oclop], ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)), depth, rowsPerWI,
double_support ? " -D DOUBLE_SUPPORT" : ""));
if (k.empty())
return false;
UMat src1 = _src1.getUMat(), src2 = _src2.getUMat();
_dst.create(src1.size(), type);
UMat dst = _dst.getUMat();
ocl::KernelArg src1arg = ocl::KernelArg::ReadOnlyNoSize(src1),
src2arg = ocl::KernelArg::ReadOnlyNoSize(src2),
dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn);
if (src2.empty())
k.args(src1arg, dstarg);
else
k.args(src1arg, src2arg, dstarg);
size_t globalsize[] = { (size_t)src1.cols * cn / kercn, ((size_t)src1.rows + rowsPerWI - 1) / rowsPerWI };
return k.run(2, globalsize, 0, false);
}
#endif
/* ************************************************************************** *\
Fast cube root by Ken Turkowski
(http://www.worldserver.com/turk/computergraphics/papers.html)
\* ************************************************************************** */
float cubeRoot( float value )
{
CV_INSTRUMENT_REGION();
float fr;
Cv32suf v, m;
int ix, s;
int ex, shx;
v.f = value;
ix = v.i & 0x7fffffff;
s = v.i & 0x80000000;
ex = (ix >> 23) - 127;
shx = ex % 3;
shx -= shx >= 0 ? 3 : 0;
ex = (ex - shx) / 3; /* exponent of cube root */
v.i = (ix & ((1<<23)-1)) | ((shx + 127)<<23);
fr = v.f;
/* 0.125 <= fr < 1.0 */
/* Use quartic rational polynomial with error < 2^(-24) */
fr = (float)(((((45.2548339756803022511987494 * fr +
192.2798368355061050458134625) * fr +
119.1654824285581628956914143) * fr +
13.43250139086239872172837314) * fr +
0.1636161226585754240958355063)/
((((14.80884093219134573786480845 * fr +
151.9714051044435648658557668) * fr +
168.5254414101568283957668343) * fr +
33.9905941350215598754191872) * fr +
1.0));
/* fr *= 2^ex * sign */
m.f = value;
v.f = fr;
v.i = (v.i + (ex << 23) + s) & (m.i*2 != 0 ? -1 : 0);
return v.f;
}
/****************************************************************************************\
* Cartezian -> Polar *
\****************************************************************************************/
void magnitude( InputArray src1, InputArray src2, OutputArray dst )
{
CV_INSTRUMENT_REGION();
int type = src1.type(), depth = src1.depth(), cn = src1.channels();
CV_Assert( src1.size() == src2.size() && type == src2.type() && (depth == CV_32F || depth == CV_64F));
CV_OCL_RUN(dst.isUMat() && src1.dims() <= 2 && src2.dims() <= 2,
ocl_math_op(src1, src2, dst, OCL_OP_MAG))
Mat X = src1.getMat(), Y = src2.getMat();
dst.create(X.dims, X.size, X.type());
Mat Mag = dst.getMat();
const Mat* arrays[] = {&X, &Y, &Mag, 0};
uchar* ptrs[3] = {};
NAryMatIterator it(arrays, ptrs);
int len = (int)it.size*cn;
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
if( depth == CV_32F )
{
const float *x = (const float*)ptrs[0], *y = (const float*)ptrs[1];
float *mag = (float*)ptrs[2];
hal::magnitude32f( x, y, mag, len );
}
else
{
const double *x = (const double*)ptrs[0], *y = (const double*)ptrs[1];
double *mag = (double*)ptrs[2];
hal::magnitude64f( x, y, mag, len );
}
}
}
void phase( InputArray src1, InputArray src2, OutputArray dst, bool angleInDegrees )
{
CV_INSTRUMENT_REGION();
int type = src1.type(), depth = src1.depth(), cn = src1.channels();
CV_Assert( src1.size() == src2.size() && type == src2.type() && (depth == CV_32F || depth == CV_64F));
CV_OCL_RUN(dst.isUMat() && src1.dims() <= 2 && src2.dims() <= 2,
ocl_math_op(src1, src2, dst, angleInDegrees ? OCL_OP_PHASE_DEGREES : OCL_OP_PHASE_RADIANS))
Mat X = src1.getMat(), Y = src2.getMat();
dst.create( X.dims, X.size, type );
Mat Angle = dst.getMat();
const Mat* arrays[] = {&X, &Y, &Angle, 0};
uchar* ptrs[3] = {};
NAryMatIterator it(arrays, ptrs);
int j, total = (int)(it.size*cn), blockSize = total;
size_t esz1 = X.elemSize1();
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
for( j = 0; j < total; j += blockSize )
{
int len = std::min(total - j, blockSize);
if( depth == CV_32F )
{
const float *x = (const float*)ptrs[0], *y = (const float*)ptrs[1];
float *angle = (float*)ptrs[2];
hal::fastAtan32f( y, x, angle, len, angleInDegrees );
}
else
{
const double *x = (const double*)ptrs[0], *y = (const double*)ptrs[1];
double *angle = (double*)ptrs[2];
hal::fastAtan64f(y, x, angle, len, angleInDegrees);
}
ptrs[0] += len*esz1;
ptrs[1] += len*esz1;
ptrs[2] += len*esz1;
}
}
}
#ifdef HAVE_OPENCL
static bool ocl_cartToPolar( InputArray _src1, InputArray _src2,
OutputArray _dst1, OutputArray _dst2, bool angleInDegrees )
{
const ocl::Device & d = ocl::Device::getDefault();
int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
rowsPerWI = d.isIntel() ? 4 : 1;
bool doubleSupport = d.doubleFPConfig() > 0;
const bool _src1IsDstMag = (_src1.getObj() == _dst1.getObj());
const bool _src1IsDstAngle = (_src1.getObj() == _dst2.getObj());
const bool _src2IsDstMag = (_src2.getObj() == _dst1.getObj());
const bool _src2IsDstAngle = (_src2.getObj() == _dst2.getObj());
if ( !(_src1.dims() <= 2 && _src2.dims() <= 2 &&
(depth == CV_32F || depth == CV_64F) && type == _src2.type()) ||
(depth == CV_64F && !doubleSupport) )
return false;
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
format("-D BINARY_OP -D dstT=%s -D DEPTH_dst=%d -D rowsPerWI=%d -D OP_CTP_%s%s%s%s%s%s",
ocl::typeToStr(CV_MAKE_TYPE(depth, 1)), depth,
rowsPerWI, angleInDegrees ? "AD" : "AR",
doubleSupport ? " -D DOUBLE_SUPPORT" : "",
_src1IsDstMag ? " -D SRC1_IS_DST_MAG" : "",
_src1IsDstAngle ? " -D SRC1_IS_DST_ANGLE" : "",
_src2IsDstMag ? " -D SRC2_IS_DST_MAG" : "",
_src2IsDstAngle ? " -D SRC2_IS_DST_ANGLE" : ""
));
if (k.empty())
return false;
UMat src1 = _src1.getUMat(), src2 = _src2.getUMat();
Size size = src1.size();
CV_Assert( size == src2.size() );
_dst1.create(size, type);
_dst2.create(size, type);
UMat dst1 = _dst1.getUMat(), dst2 = _dst2.getUMat();
k.args(_src1IsDstMag || _src1IsDstAngle ? ocl::KernelArg::ReadWriteNoSize(src1) : ocl::KernelArg::ReadOnlyNoSize(src1),
_src2IsDstMag || _src2IsDstAngle ? ocl::KernelArg::ReadWriteNoSize(src2) : ocl::KernelArg::ReadOnlyNoSize(src2),
ocl::KernelArg::WriteOnly(dst1, cn),
ocl::KernelArg::WriteOnlyNoSize(dst2));
size_t globalsize[2] = { (size_t)dst1.cols * cn, ((size_t)dst1.rows + rowsPerWI - 1) / rowsPerWI };
return k.run(2, globalsize, NULL, false);
}
#endif
void cartToPolar( InputArray src1, InputArray src2,
OutputArray dst1, OutputArray dst2, bool angleInDegrees )
{
CV_INSTRUMENT_REGION();
CV_Assert(dst1.getObj() != dst2.getObj());
CV_OCL_RUN(dst1.isUMat() && dst2.isUMat(),
ocl_cartToPolar(src1, src2, dst1, dst2, angleInDegrees))
Mat X = src1.getMat(), Y = src2.getMat();
int type = X.type(), depth = X.depth(), cn = X.channels();
CV_Assert( X.size == Y.size && type == Y.type() && (depth == CV_32F || depth == CV_64F));
dst1.create( X.dims, X.size, type );
dst2.create( X.dims, X.size, type );
Mat Mag = dst1.getMat(), Angle = dst2.getMat();
const Mat* arrays[] = {&X, &Y, &Mag, &Angle, 0};
uchar* ptrs[4] = {};
NAryMatIterator it(arrays, ptrs);
int j, total = (int)(it.size*cn), blockSize = std::min(total, ((BLOCK_SIZE+cn-1)/cn)*cn);
size_t esz1 = X.elemSize1();
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
for( j = 0; j < total; j += blockSize )
{
int len = std::min(total - j, blockSize);
if( depth == CV_32F )
{
const float *x = (const float*)ptrs[0], *y = (const float*)ptrs[1];
float *mag = (float*)ptrs[2], *angle = (float*)ptrs[3];
hal::cartToPolar32f( x, y, mag, angle, len, angleInDegrees );
}
else
{
const double *x = (const double*)ptrs[0], *y = (const double*)ptrs[1];
double *mag = (double*)ptrs[2], *angle = (double*)ptrs[3];
hal::cartToPolar64f(x, y, mag, angle, len, angleInDegrees);
}
ptrs[0] += len*esz1;
ptrs[1] += len*esz1;
ptrs[2] += len*esz1;
ptrs[3] += len*esz1;
}
}
}
/****************************************************************************************\
* Polar -> Cartezian *
\****************************************************************************************/
#ifdef HAVE_OPENCL
static bool ocl_polarToCart( InputArray _mag, InputArray _angle,
OutputArray _dst1, OutputArray _dst2, bool angleInDegrees )
{
const ocl::Device & d = ocl::Device::getDefault();
int type = _angle.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
rowsPerWI = d.isIntel() ? 4 : 1;
bool doubleSupport = d.doubleFPConfig() > 0;
const bool _src1IsDstX = (_mag.getObj() == _dst1.getObj());
const bool _src1IsDstY = (_mag.getObj() == _dst2.getObj());
const bool _src2IsDstX = (_angle.getObj() == _dst1.getObj());
const bool _src2IsDstY = (_angle.getObj() == _dst2.getObj());
if ( !doubleSupport && depth == CV_64F )
return false;
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
format("-D dstT=%s -D DEPTH_dst=%d -D rowsPerWI=%d -D BINARY_OP -D OP_PTC_%s%s%s%s%s%s",
ocl::typeToStr(CV_MAKE_TYPE(depth, 1)), depth,
rowsPerWI,
angleInDegrees ? "AD" : "AR",
doubleSupport ? " -D DOUBLE_SUPPORT" : "",
_src1IsDstX ? " -D SRC1_IS_DST_X" : "",
_src1IsDstY ? " -D SRC1_IS_DST_Y" : "",
_src2IsDstX ? " -D SRC2_IS_DST_X" : "",
_src2IsDstY ? " -D SRC2_IS_DST_Y" : ""));
if (k.empty())
return false;
UMat mag = _mag.getUMat(), angle = _angle.getUMat();
Size size = angle.size();
CV_Assert(mag.size() == size);
_dst1.create(size, type);
_dst2.create(size, type);
UMat dst1 = _dst1.getUMat(), dst2 = _dst2.getUMat();
k.args(_src1IsDstX || _src1IsDstY ? ocl::KernelArg::ReadWriteNoSize(mag) : ocl::KernelArg::ReadOnlyNoSize(mag),
_src2IsDstX || _src2IsDstY ? ocl::KernelArg::ReadWriteNoSize(angle) : ocl::KernelArg::ReadOnlyNoSize(angle),
ocl::KernelArg::WriteOnly(dst1, cn),
ocl::KernelArg::WriteOnlyNoSize(dst2));
size_t globalsize[2] = { (size_t)dst1.cols * cn, ((size_t)dst1.rows + rowsPerWI - 1) / rowsPerWI };
return k.run(2, globalsize, NULL, false);
}
#endif
void polarToCart( InputArray src1, InputArray src2,
OutputArray dst1, OutputArray dst2, bool angleInDegrees )
{
CV_INSTRUMENT_REGION();
CV_Assert(dst1.getObj() != dst2.getObj());
int type = src2.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
CV_Assert((depth == CV_32F || depth == CV_64F) && (src1.empty() || src1.type() == type));
CV_OCL_RUN(!src1.empty() && src2.dims() <= 2 && dst1.isUMat() && dst2.isUMat(),
ocl_polarToCart(src1, src2, dst1, dst2, angleInDegrees))
Mat Mag = src1.getMat(), Angle = src2.getMat();
CV_Assert( Mag.empty() || Angle.size == Mag.size);
dst1.create( Angle.dims, Angle.size, type );
dst2.create( Angle.dims, Angle.size, type );
Mat X = dst1.getMat(), Y = dst2.getMat();
const Mat* arrays[] = {&Mag, &Angle, &X, &Y, 0};
uchar* ptrs[4] = {};
NAryMatIterator it(arrays, ptrs);
int j, total = (int)(it.size*cn), blockSize = std::min(total, ((BLOCK_SIZE+cn-1)/cn)*cn);
size_t esz1 = Angle.elemSize1();
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
for( j = 0; j < total; j += blockSize )
{
int len = std::min(total - j, blockSize);
if ( depth == CV_32F )
{
const float *mag = (const float*)ptrs[0], *angle = (const float*)ptrs[1];
float *x = (float*)ptrs[2], *y = (float*)ptrs[3];
hal::polarToCart32f( mag, angle, x, y, len, angleInDegrees );
}
else
{
const double *mag = (const double*)ptrs[0], *angle = (const double*)ptrs[1];
double *x = (double*)ptrs[2], *y = (double*)ptrs[3];
hal::polarToCart64f( mag, angle, x, y, len, angleInDegrees );
}
if( ptrs[0] )
ptrs[0] += len*esz1;
ptrs[1] += len*esz1;
ptrs[2] += len*esz1;
ptrs[3] += len*esz1;
}
}
}
/****************************************************************************************\
* E X P *
\****************************************************************************************/
void exp( InputArray _src, OutputArray _dst )
{
CV_INSTRUMENT_REGION();
int type = _src.type(), depth = _src.depth(), cn = _src.channels();
CV_Assert( depth == CV_32F || depth == CV_64F );
CV_OCL_RUN(_dst.isUMat() && _src.dims() <= 2,
ocl_math_op(_src, noArray(), _dst, OCL_OP_EXP))
Mat src = _src.getMat();
_dst.create( src.dims, src.size, type );
Mat dst = _dst.getMat();
const Mat* arrays[] = {&src, &dst, 0};
uchar* ptrs[2] = {};
NAryMatIterator it(arrays, ptrs);
int len = (int)(it.size*cn);
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
if( depth == CV_32F )
hal::exp32f((const float*)ptrs[0], (float*)ptrs[1], len);
else
hal::exp64f((const double*)ptrs[0], (double*)ptrs[1], len);
}
}
/****************************************************************************************\
* L O G *
\****************************************************************************************/
void log( InputArray _src, OutputArray _dst )
{
CV_INSTRUMENT_REGION();
int type = _src.type(), depth = _src.depth(), cn = _src.channels();
CV_Assert( depth == CV_32F || depth == CV_64F );
CV_OCL_RUN( _dst.isUMat() && _src.dims() <= 2,
ocl_math_op(_src, noArray(), _dst, OCL_OP_LOG))
Mat src = _src.getMat();
_dst.create( src.dims, src.size, type );
Mat dst = _dst.getMat();
const Mat* arrays[] = {&src, &dst, 0};
uchar* ptrs[2] = {};
NAryMatIterator it(arrays, ptrs);
int len = (int)(it.size*cn);
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
if( depth == CV_32F )
hal::log32f( (const float*)ptrs[0], (float*)ptrs[1], len );
else
hal::log64f( (const double*)ptrs[0], (double*)ptrs[1], len );
}
}
/****************************************************************************************\
* P O W E R *
\****************************************************************************************/
template <typename T, typename WT>
struct iPow_SIMD
{
int operator() ( const T *, T *, int, int)
{
return 0;
}
};
#if (CV_SIMD || CV_SIMD_SCALABLE)
template <>
struct iPow_SIMD<uchar, unsigned>
{
int operator() ( const uchar * src, uchar * dst, int len, int power )
{
int i = 0;
v_uint32 v_1 = vx_setall_u32(1u);
for ( ; i <= len - VTraits<v_uint16>::vlanes(); i += VTraits<v_uint16>::vlanes())
{
v_uint32 v_a1 = v_1, v_a2 = v_1;
v_uint16 v = vx_load_expand(src + i);
v_uint32 v_b1, v_b2;
v_expand(v, v_b1, v_b2);
int p = power;
while( p > 1 )
{
if (p & 1)
{
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
}
v_b1 = v_mul(v_b1, v_b1);
v_b2 = v_mul(v_b2, v_b2);
p >>= 1;
}
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
v = v_pack(v_a1, v_a2);
v_pack_store(dst + i, v);
}
vx_cleanup();
return i;
}
};
template <>
struct iPow_SIMD<schar, int>
{
int operator() ( const schar * src, schar * dst, int len, int power)
{
int i = 0;
v_int32 v_1 = vx_setall_s32(1);
for ( ; i <= len - VTraits<v_int16>::vlanes(); i += VTraits<v_int16>::vlanes())
{
v_int32 v_a1 = v_1, v_a2 = v_1;
v_int16 v = vx_load_expand(src + i);
v_int32 v_b1, v_b2;
v_expand(v, v_b1, v_b2);
int p = power;
while( p > 1 )
{
if (p & 1)
{
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
}
v_b1 = v_mul(v_b1, v_b1);
v_b2 = v_mul(v_b2, v_b2);
p >>= 1;
}
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
v = v_pack(v_a1, v_a2);
v_pack_store(dst + i, v);
}
vx_cleanup();
return i;
}
};
template <>
struct iPow_SIMD<ushort, unsigned>
{
int operator() ( const ushort * src, ushort * dst, int len, int power)
{
int i = 0;
v_uint32 v_1 = vx_setall_u32(1u);
for ( ; i <= len - VTraits<v_uint16>::vlanes(); i += VTraits<v_uint16>::vlanes())
{
v_uint32 v_a1 = v_1, v_a2 = v_1;
v_uint16 v = vx_load(src + i);
v_uint32 v_b1, v_b2;
v_expand(v, v_b1, v_b2);
int p = power;
while( p > 1 )
{
if (p & 1)
{
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
}
v_b1 = v_mul(v_b1, v_b1);
v_b2 = v_mul(v_b2, v_b2);
p >>= 1;
}
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
v = v_pack(v_a1, v_a2);
v_store(dst + i, v);
}
vx_cleanup();
return i;
}
};
template <>
struct iPow_SIMD<short, int>
{
int operator() ( const short * src, short * dst, int len, int power)
{
int i = 0;
v_int32 v_1 = vx_setall_s32(1);
for ( ; i <= len - VTraits<v_int16>::vlanes(); i += VTraits<v_int16>::vlanes())
{
v_int32 v_a1 = v_1, v_a2 = v_1;
v_int16 v = vx_load(src + i);
v_int32 v_b1, v_b2;
v_expand(v, v_b1, v_b2);
int p = power;
while( p > 1 )
{
if (p & 1)
{
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
}
v_b1 = v_mul(v_b1, v_b1);
v_b2 = v_mul(v_b2, v_b2);
p >>= 1;
}
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
v = v_pack(v_a1, v_a2);
v_store(dst + i, v);
}
vx_cleanup();
return i;
}
};
template <>
struct iPow_SIMD<int, int>
{
int operator() ( const int * src, int * dst, int len, int power)
{
int i = 0;
v_int32 v_1 = vx_setall_s32(1);
for ( ; i <= len - VTraits<v_int32>::vlanes()*2; i += VTraits<v_int32>::vlanes()*2)
{
v_int32 v_a1 = v_1, v_a2 = v_1;
v_int32 v_b1 = vx_load(src + i), v_b2 = vx_load(src + i + VTraits<v_int32>::vlanes());
int p = power;
while( p > 1 )
{
if (p & 1)
{
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
}
v_b1 = v_mul(v_b1, v_b1);
v_b2 = v_mul(v_b2, v_b2);
p >>= 1;
}
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
v_store(dst + i, v_a1);
v_store(dst + i + VTraits<v_int32>::vlanes(), v_a2);
}
vx_cleanup();
return i;
}
};
template <>
struct iPow_SIMD<float, float>
{
int operator() ( const float * src, float * dst, int len, int power)
{
int i = 0;
v_float32 v_1 = vx_setall_f32(1.f);
for ( ; i <= len - VTraits<v_float32>::vlanes()*2; i += VTraits<v_float32>::vlanes()*2)
{
v_float32 v_a1 = v_1, v_a2 = v_1;
v_float32 v_b1 = vx_load(src + i), v_b2 = vx_load(src + i + VTraits<v_float32>::vlanes());
int p = std::abs(power);
if( power < 0 )
{
v_b1 = v_div(v_1, v_b1);
v_b2 = v_div(v_1, v_b2);
}
while( p > 1 )
{
if (p & 1)
{
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
}
v_b1 = v_mul(v_b1, v_b1);
v_b2 = v_mul(v_b2, v_b2);
p >>= 1;
}
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
v_store(dst + i, v_a1);
v_store(dst + i + VTraits<v_float32>::vlanes(), v_a2);
}
vx_cleanup();
return i;
}
};
#if (CV_SIMD_64F || CV_SIMD_SCALABLE_64F)
template <>
struct iPow_SIMD<double, double>
{
int operator() ( const double * src, double * dst, int len, int power)
{
int i = 0;
v_float64 v_1 = vx_setall_f64(1.);
for ( ; i <= len - VTraits<v_float64>::vlanes()*2; i += VTraits<v_float64>::vlanes()*2)
{
v_float64 v_a1 = v_1, v_a2 = v_1;
v_float64 v_b1 = vx_load(src + i), v_b2 = vx_load(src + i + VTraits<v_float64>::vlanes());
int p = std::abs(power);
if( power < 0 )
{
v_b1 = v_div(v_1, v_b1);
v_b2 = v_div(v_1, v_b2);
}
while( p > 1 )
{
if (p & 1)
{
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
}
v_b1 = v_mul(v_b1, v_b1);
v_b2 = v_mul(v_b2, v_b2);
p >>= 1;
}
v_a1 = v_mul(v_a1, v_b1);
v_a2 = v_mul(v_a2, v_b2);
v_store(dst + i, v_a1);
v_store(dst + i + VTraits<v_float64>::vlanes(), v_a2);
}
vx_cleanup();
return i;
}
};
#endif
#endif
template<typename T, typename WT>
static void
iPow_i( const T* src, T* dst, int len, int power )
{
if( power < 0 )
{
T tab[5] =
{
saturate_cast<T>(power == -1 ? -1 : 0), saturate_cast<T>((power & 1) ? -1 : 1),
std::numeric_limits<T>::max(), 1, saturate_cast<T>(power == -1 ? 1 : 0)
};
for( int i = 0; i < len; i++ )
{
T val = src[i];
dst[i] = cv_abs(val) <= 2 ? tab[val + 2] : (T)0;
}
}
else
{
iPow_SIMD<T, WT> vop;
int i = vop(src, dst, len, power);
for( ; i < len; i++ )
{
WT a = 1, b = src[i];
int p = power;
while( p > 1 )
{
if( p & 1 )
a *= b;
b *= b;
p >>= 1;
}
a *= b;
dst[i] = saturate_cast<T>(a);
}
}
}
template<typename T>
static void
iPow_f( const T* src, T* dst, int len, int power0 )
{
iPow_SIMD<T, T> vop;
int i = vop(src, dst, len, power0);
int power = std::abs(power0);
for( ; i < len; i++ )
{
T a = 1, b = src[i];
int p = power;
if( power0 < 0 )
b = 1/b;
while( p > 1 )
{
if( p & 1 )
a *= b;
b *= b;
p >>= 1;
}
a *= b;
dst[i] = a;
}
}
static void iPow8u(const uchar* src, uchar* dst, int len, int power)
{
iPow_i<uchar, unsigned>(src, dst, len, power);
}
static void iPow8s(const schar* src, schar* dst, int len, int power)
{
iPow_i<schar, int>(src, dst, len, power);
}
static void iPow16u(const ushort* src, ushort* dst, int len, int power)
{
iPow_i<ushort, unsigned>(src, dst, len, power);
}
static void iPow16s(const short* src, short* dst, int len, int power)
{
iPow_i<short, int>(src, dst, len, power);
}
static void iPow32s(const int* src, int* dst, int len, int power)
{
iPow_i<int, int>(src, dst, len, power);
}
static void iPow32f(const float* src, float* dst, int len, int power)
{
iPow_f<float>(src, dst, len, power);
}
static void iPow64f(const double* src, double* dst, int len, int power)
{
iPow_f<double>(src, dst, len, power);
}
typedef void (*IPowFunc)( const uchar* src, uchar* dst, int len, int power );
static IPowFunc ipowTab[CV_DEPTH_MAX] =
{
(IPowFunc)iPow8u, (IPowFunc)iPow8s, (IPowFunc)iPow16u, (IPowFunc)iPow16s,
(IPowFunc)iPow32s, (IPowFunc)iPow32f, (IPowFunc)iPow64f, 0
};
#ifdef HAVE_OPENCL
static bool ocl_pow(InputArray _src, double power, OutputArray _dst,
bool is_ipower, int ipower)
{
const ocl::Device & d = ocl::Device::getDefault();
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
rowsPerWI = d.isIntel() ? 4 : 1;
bool doubleSupport = d.doubleFPConfig() > 0;
_dst.createSameSize(_src, type);
if (is_ipower)
{
if( ipower < 0 )
{
if( depth == CV_32F || depth == CV_64F )
is_ipower = false;
else
return false;
}
}
if (depth == CV_64F && !doubleSupport)
return false;
bool issqrt = std::abs(power - 0.5) < DBL_EPSILON;
const char * const op = issqrt ? "OP_SQRT" : is_ipower ? "OP_POWN" : "OP_POW";
// Note: channels are unrolled
std::string extra_opts ="";
if (is_ipower)
{
int wdepth = CV_32F;
if (depth == CV_64F)
wdepth = CV_64F;
else if (depth == CV_16F)
wdepth = CV_16F;
char cvt[2][50];
extra_opts = format(
" -D srcT1=%s -DsrcT1_C1=%s"
" -D srcT2=int -D workST=int"
" -D workT=%s -D wdepth=%d -D convertToWT1=%s"
" -D convertToDT=%s"
" -D workT1=%s",
ocl::typeToStr(CV_MAKE_TYPE(depth, 1)),
ocl::typeToStr(CV_MAKE_TYPE(depth, 1)),
ocl::typeToStr(CV_MAKE_TYPE(wdepth, 1)),
wdepth,
ocl::convertTypeStr(depth, wdepth, 1, cvt[0], sizeof(cvt[0])),
ocl::convertTypeStr(wdepth, depth, 1, cvt[1], sizeof(cvt[1])),
ocl::typeToStr(wdepth)
);
}
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
format("-D cn=%d -D dstT=%s -D dstT_C1=%s -D DEPTH_dst=%d -D rowsPerWI=%d -D %s%s%s%s",
1,
ocl::typeToStr(depth), ocl::typeToStr(depth), depth, rowsPerWI, op,
" -D UNARY_OP=1",
extra_opts.empty() ? "" : extra_opts.c_str(),
doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
if (k.empty())
return false;
UMat src = _src.getUMat();
_dst.create(src.size(), type);
UMat dst = _dst.getUMat();
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),
dstarg = ocl::KernelArg::WriteOnly(dst, cn);
if (issqrt)
k.args(srcarg, dstarg);
else if (is_ipower)
k.args(srcarg, dstarg, ipower);
else
{
if (depth == CV_32F)
k.args(srcarg, dstarg, (float)power);
else
k.args(srcarg, dstarg, power);
}
size_t globalsize[2] = { (size_t)dst.cols * cn, ((size_t)dst.rows + rowsPerWI - 1) / rowsPerWI };