opencv/modules/core/src/convert.dispatch.cpp
Alexander Smorkalov 9f0c3f5b2b
Merge pull request #26327 from asmorkalov:as/drop_convertFp16
Finally dropped convertFp16 function in favor of cv::Mat::convertTo() #26327 

Partially address https://github.com/opencv/opencv/issues/24909
Related PR to contrib: https://github.com/opencv/opencv_contrib/pull/3812

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-10-22 15:17:24 +03:00

230 lines
6.4 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include "precomp.hpp"
#include "opencl_kernels_core.hpp"
#include "convert.simd.hpp"
#include "convert.simd_declarations.hpp" // defines CV_CPU_DISPATCH_MODES_ALL=AVX2,...,BASELINE based on CMakeLists.txt content
namespace cv {
namespace hal {
void cvt16f32f(const hfloat* src, float* dst, int len)
{
CV_INSTRUMENT_REGION();
CV_CPU_DISPATCH(cvt16f32f, (src, dst, len),
CV_CPU_DISPATCH_MODES_ALL);
}
void cvt32f16f(const float* src, hfloat* dst, int len)
{
CV_INSTRUMENT_REGION();
CV_CPU_DISPATCH(cvt32f16f, (src, dst, len),
CV_CPU_DISPATCH_MODES_ALL);
}
void cvt32f16bf(const float* src, bfloat* dst, int len)
{
CV_INSTRUMENT_REGION();
CV_CPU_DISPATCH(cvt32f16bf, (src, dst, len),
CV_CPU_DISPATCH_MODES_ALL);
}
void addRNGBias32f(float* arr, const float* scaleBiasPairs, int len, int cn)
{
CV_INSTRUMENT_REGION();
CV_CPU_DISPATCH(addRNGBias32f, (arr, scaleBiasPairs, len, cn),
CV_CPU_DISPATCH_MODES_ALL);
}
void addRNGBias64f(double* arr, const double* scaleBiasPairs, int len, int cn)
{
CV_INSTRUMENT_REGION();
CV_CPU_DISPATCH(addRNGBias64f, (arr, scaleBiasPairs, len, cn),
CV_CPU_DISPATCH_MODES_ALL);
}
} // namespace
BinaryFunc getConvertFunc(int sdepth, int ddepth)
{
CV_INSTRUMENT_REGION();
CV_CPU_DISPATCH(getConvertFunc, (sdepth, ddepth),
CV_CPU_DISPATCH_MODES_ALL);
}
#ifdef HAVE_OPENCL
static bool ocl_convertTo(InputArray src_, OutputArray dst_, int ddepth, bool noScale, double alpha, double beta)
{
CV_INSTRUMENT_REGION();
CV_Assert(ddepth >= 0);
int stype = src_.type();
int sdepth = CV_MAT_DEPTH(stype);
int cn = CV_MAT_CN(stype);
int dtype = CV_MAKETYPE(ddepth, cn);
int wdepth = (sdepth == CV_64F) ? CV_64F : CV_32F;
bool needDouble = sdepth == CV_64F || ddepth == CV_64F;
bool doubleCheck = true;
if (needDouble)
{
doubleCheck = ocl::Device::getDefault().hasFP64();
}
bool halfCheck = true;
bool needHalf = sdepth == CV_16F || ddepth == CV_16F;
if (needHalf)
{
halfCheck = ocl::Device::getDefault().hasFP16();
}
if (!doubleCheck)
return false;
if (!halfCheck)
return false;
const int rowsPerWI = 4;
char cvt[2][50];
ocl::Kernel k("convertTo", ocl::core::convert_oclsrc,
format("-D srcT=%s -D WT=%s -D dstT=%s -D convertToWT=%s -D convertToDT=%s -D rowsPerWI=%d%s%s%s",
ocl::typeToStr(sdepth), ocl::typeToStr(wdepth), ocl::typeToStr(ddepth),
ocl::convertTypeStr(sdepth, wdepth, 1, cvt[0], sizeof(cvt[0])),
ocl::convertTypeStr(wdepth, ddepth, 1, cvt[1], sizeof(cvt[1])),
rowsPerWI,
needDouble ? " -D DOUBLE_SUPPORT" : "",
needHalf ? " -D HALF_SUPPORT" : "",
noScale ? " -D NO_SCALE" : ""
)
);
if (k.empty())
return false;
UMat src = src_.getUMat();
dst_.createSameSize(src_, dtype);
UMat dst = dst_.getUMat();
float alphaf = (float)alpha, betaf = (float)beta;
if (noScale)
k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst, cn));
else if (wdepth == CV_32F)
k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst, cn), alphaf, betaf);
else
k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst, cn), alpha, beta);
size_t globalsize[2] = {
(size_t)dst.cols * cn,
divUp((size_t)dst.rows, rowsPerWI)
};
if (!k.run(2, globalsize, NULL, false))
return false;
CV_IMPL_ADD(CV_IMPL_OCL);
return true;
}
#endif
void Mat::convertTo(OutputArray dst, int type_, double alpha, double beta) const
{
CV_INSTRUMENT_REGION();
if (empty())
{
dst.release();
return;
}
int stype = type();
int sdepth = CV_MAT_DEPTH(stype);
int ddepth = sdepth;
if (type_ >= 0)
ddepth = CV_MAT_DEPTH(type_);
else
ddepth = dst.fixedType() ? dst.depth() : sdepth;
bool noScale = std::fabs(alpha - 1) < DBL_EPSILON && std::fabs(beta) < DBL_EPSILON;
if (sdepth == ddepth && noScale)
{
copyTo(dst);
return;
}
CV_OCL_RUN(dims <= 2 && dst.isUMat(),
ocl_convertTo(*this, dst, ddepth, noScale, alpha, beta))
int cn = channels();
int dtype = CV_MAKETYPE(ddepth, cn);
Mat src = *this;
bool allowTransposed = dims == 1 ||
dst.kind() == _InputArray::STD_VECTOR ||
(dst.fixedSize() && dst.dims() == 1);
dst.create( dims, size, dtype, -1, allowTransposed );
Mat dstMat = dst.getMat();
BinaryFunc func = noScale ? getConvertFunc(sdepth, ddepth) : getConvertScaleFunc(sdepth, ddepth);
double scale[] = {alpha, beta};
CV_Assert( func != 0 );
if( dims <= 2 )
{
Size sz = getContinuousSize2D(src, dstMat, cn);
func(src.data, src.step, 0, 0, dstMat.data, dstMat.step, sz, scale);
}
else
{
const Mat* arrays[] = {&src, &dstMat, 0};
uchar* ptrs[2] = {};
NAryMatIterator it(arrays, ptrs);
Size sz((int)(it.size*cn), 1);
for( size_t i = 0; i < it.nplanes; i++, ++it )
func(ptrs[0], 1, 0, 0, ptrs[1], 1, sz, scale);
}
}
void UMat::convertTo(OutputArray dst, int type_, double alpha, double beta) const
{
CV_INSTRUMENT_REGION();
if (empty())
{
dst.release();
return;
}
#ifdef HAVE_OPENCL
int stype = type();
int sdepth = CV_MAT_DEPTH(stype);
int ddepth = sdepth;
if (type_ >= 0)
ddepth = CV_MAT_DEPTH(type_);
else
ddepth = dst.fixedType() ? dst.depth() : sdepth;
bool noScale = std::fabs(alpha - 1) < DBL_EPSILON && std::fabs(beta) < DBL_EPSILON;
if (sdepth == ddepth && noScale)
{
copyTo(dst);
return;
}
CV_OCL_RUN(dims <= 2,
ocl_convertTo(*this, dst, ddepth, noScale, alpha, beta))
#endif // HAVE_OPENCL
UMat src = *this; // Fake reference to itself.
// Resolves issue 8693 in case of src == dst.
Mat m = getMat(ACCESS_READ);
m.convertTo(dst, type_, alpha, beta);
(void)src;
}
} // namespace cv