Optimize OpenCL version of conversScaleAbs function

This commit is contained in:
vbystricky 2014-10-20 17:43:18 +04:00
parent 54b59c3cfb
commit a8aa6381d9
3 changed files with 20 additions and 6 deletions

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@ -618,7 +618,7 @@ CV_EXPORTS int predictOptimalVectorWidth(InputArray src1, InputArray src2 = noAr
InputArray src7 = noArray(), InputArray src8 = noArray(), InputArray src9 = noArray(),
OclVectorStrategy strat = OCL_VECTOR_DEFAULT);
CV_EXPORTS int checkOptimalVectorWidth(int *vectorWidths,
CV_EXPORTS int checkOptimalVectorWidth(const int *vectorWidths,
InputArray src1, InputArray src2 = noArray(), InputArray src3 = noArray(),
InputArray src4 = noArray(), InputArray src5 = noArray(), InputArray src6 = noArray(),
InputArray src7 = noArray(), InputArray src8 = noArray(), InputArray src9 = noArray(),

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@ -3275,13 +3275,26 @@ static BinaryFunc getConvertScaleFunc(int sdepth, int ddepth)
static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha, double beta )
{
const ocl::Device & d = ocl::Device::getDefault();
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
kercn = ocl::predictOptimalVectorWidth(_src, _dst), rowsPerWI = d.isIntel() ? 4 : 1;
bool doubleSupport = d.doubleFPConfig() > 0;
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
bool doubleSupport = d.doubleFPConfig() > 0;
if (!doubleSupport && depth == CV_64F)
return false;
_dst.create(_src.size(), CV_8UC(cn));
int kercn = 1;
if (d.isIntel())
{
static const int vectorWidths[] = {4, 4, 4, 4, 4, 4, 4, -1};
kercn = ocl::checkOptimalVectorWidth( vectorWidths, _src, _dst,
noArray(), noArray(), noArray(),
noArray(), noArray(), noArray(),
noArray(), ocl::OCL_VECTOR_MAX);
}
else
kercn = ocl::predictOptimalVectorWidthMax(_src, _dst);
int rowsPerWI = d.isIntel() ? 4 : 1;
char cvt[2][50];
int wdepth = std::max(depth, CV_32F);
String build_opt = format("-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D srcT1=%s"
@ -3299,7 +3312,6 @@ static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha
return false;
UMat src = _src.getUMat();
_dst.create(src.size(), CV_8UC(cn));
UMat dst = _dst.getUMat();
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),

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@ -4531,12 +4531,14 @@ int predictOptimalVectorWidth(InputArray src1, InputArray src2, InputArray src3,
return checkOptimalVectorWidth(vectorWidths, src1, src2, src3, src4, src5, src6, src7, src8, src9, strat);
}
int checkOptimalVectorWidth(int *vectorWidths,
int checkOptimalVectorWidth(const int *vectorWidths,
InputArray src1, InputArray src2, InputArray src3,
InputArray src4, InputArray src5, InputArray src6,
InputArray src7, InputArray src8, InputArray src9,
OclVectorStrategy strat)
{
CV_Assert(vectorWidths);
int ref_type = src1.type();
std::vector<size_t> offsets, steps, cols;