Merge pull request #3088 from vbystricky:ocl_enableNormEtc
This commit is contained in:
commit
52ac61d87c
@ -1765,13 +1765,12 @@ static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha
|
||||
kercn = ocl::predictOptimalVectorWidth(_src, _dst), rowsPerWI = d.isIntel() ? 4 : 1;
|
||||
bool doubleSupport = d.doubleFPConfig() > 0;
|
||||
|
||||
if (depth == CV_32F || depth == CV_64F)
|
||||
if (!doubleSupport && depth == CV_64F)
|
||||
return false;
|
||||
|
||||
char cvt[2][50];
|
||||
int wdepth = std::max(depth, CV_32F);
|
||||
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
|
||||
format("-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D srcT1=%s"
|
||||
String build_opt = format("-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D srcT1=%s"
|
||||
" -D workT=%s -D wdepth=%d -D convertToWT1=%s -D convertToDT=%s"
|
||||
" -D workT1=%s -D rowsPerWI=%d%s",
|
||||
ocl::typeToStr(CV_8UC(kercn)),
|
||||
@ -1780,7 +1779,8 @@ static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha
|
||||
ocl::convertTypeStr(depth, wdepth, kercn, cvt[0]),
|
||||
ocl::convertTypeStr(wdepth, CV_8U, kercn, cvt[1]),
|
||||
ocl::typeToStr(wdepth), rowsPerWI,
|
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
|
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : "");
|
||||
ocl::Kernel k("KF", ocl::core::arithm_oclsrc, build_opt);
|
||||
if (k.empty())
|
||||
return false;
|
||||
|
||||
|
@ -98,7 +98,7 @@
|
||||
|
||||
#ifdef OP_CALC2
|
||||
#define CALC_MAX2(p) \
|
||||
maxval2 = MAX(maxval2, temp.p);
|
||||
maxval2 = MAX(maxval2, temp2.p);
|
||||
#else
|
||||
#define CALC_MAX2(p)
|
||||
#endif
|
||||
@ -196,7 +196,7 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
|
||||
|
||||
#ifdef HAVE_SRC2
|
||||
#ifdef HAVE_SRC2_CONT
|
||||
src2_index = mul24(id, srcTSIZE);
|
||||
src2_index = id * srcTSIZE; //mul24(id, srcTSIZE);
|
||||
#else
|
||||
src2_index = mad24(id / cols, src2_step, mul24(id % cols, srcTSIZE));
|
||||
#endif
|
||||
|
@ -1444,7 +1444,10 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
|
||||
bool doubleSupport = dev.doubleFPConfig() > 0, haveMask = !_mask.empty(),
|
||||
haveSrc2 = _src2.kind() != _InputArray::NONE;
|
||||
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
|
||||
kercn = haveMask ? cn : std::min(4, ocl::predictOptimalVectorWidth(_src));
|
||||
kercn = haveMask ? cn : std::min(4, ocl::predictOptimalVectorWidth(_src, _src2));
|
||||
|
||||
if (haveMask && dev.isAMD())
|
||||
return false;
|
||||
|
||||
CV_Assert( (cn == 1 && (!haveMask || _mask.type() == CV_8U)) ||
|
||||
(cn >= 1 && !minLoc && !maxLoc) );
|
||||
@ -1536,7 +1539,7 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
|
||||
}
|
||||
|
||||
size_t globalsize = groupnum * wgs;
|
||||
if (!k.run(1, &globalsize, &wgs, false))
|
||||
if (!k.run(1, &globalsize, &wgs, true))
|
||||
return false;
|
||||
|
||||
static const getMinMaxResFunc functab[7] =
|
||||
@ -2190,9 +2193,6 @@ static bool ocl_norm( InputArray _src, int normType, InputArray _mask, double &
|
||||
(!doubleSupport && depth == CV_64F))
|
||||
return false;
|
||||
|
||||
if( depth == CV_32F && (!_mask.empty() || normType == NORM_INF) )
|
||||
return false;
|
||||
|
||||
UMat src = _src.getUMat();
|
||||
|
||||
if (normType == NORM_INF)
|
||||
@ -2548,9 +2548,6 @@ static bool ocl_norm( InputArray _src1, InputArray _src2, int normType, InputArr
|
||||
normType &= ~NORM_RELATIVE;
|
||||
bool normsum = normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR;
|
||||
|
||||
if ( !normsum || !_mask.empty() )
|
||||
return false;
|
||||
|
||||
if (normsum)
|
||||
{
|
||||
if (!ocl_sum(_src1, sc1, normType == NORM_L2 || normType == NORM_L2SQR ?
|
||||
|
@ -341,7 +341,7 @@ OCL_TEST_P(Mul, Mat_Scalar_Scale)
|
||||
OCL_OFF(cv::multiply(src1_roi, val, dst1_roi, val[0]));
|
||||
OCL_ON(cv::multiply(usrc1_roi, val, udst1_roi, val[0]));
|
||||
|
||||
Near(udst1_roi.depth() >= CV_32F ? 2e-2 : 1);
|
||||
Near(udst1_roi.depth() >= CV_32F ? 1e-2 : 1);
|
||||
}
|
||||
}
|
||||
|
||||
@ -397,7 +397,7 @@ OCL_TEST_P(Div, Mat_Scale)
|
||||
OCL_OFF(cv::divide(src1_roi, src2_roi, dst1_roi, val[0]));
|
||||
OCL_ON(cv::divide(usrc1_roi, usrc2_roi, udst1_roi, val[0]));
|
||||
|
||||
Near(udst1_roi.depth() >= CV_32F ? 2e-2 : 1);
|
||||
Near(udst1_roi.depth() >= CV_32F ? 4e-3 : 1);
|
||||
}
|
||||
}
|
||||
|
||||
@ -1303,7 +1303,7 @@ OCL_TEST_P(Norm, NORM_INF_2args)
|
||||
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type));
|
||||
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type));
|
||||
|
||||
EXPECT_NEAR(cpuRes, gpuRes, 0.2);
|
||||
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
||||
}
|
||||
}
|
||||
|
||||
@ -1323,7 +1323,7 @@ OCL_TEST_P(Norm, NORM_INF_2args_mask)
|
||||
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type, mask_roi));
|
||||
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type, umask_roi));
|
||||
|
||||
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
|
||||
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
||||
}
|
||||
}
|
||||
|
||||
@ -1547,7 +1547,49 @@ OCL_TEST_P(InRange, Scalar)
|
||||
|
||||
//////////////////////////////// ConvertScaleAbs ////////////////////////////////////////////////
|
||||
|
||||
typedef ArithmTestBase ConvertScaleAbs;
|
||||
PARAM_TEST_CASE(ConvertScaleAbs, MatDepth, Channels, bool)
|
||||
{
|
||||
int depth;
|
||||
int cn;
|
||||
bool use_roi;
|
||||
cv::Scalar val;
|
||||
|
||||
TEST_DECLARE_INPUT_PARAMETER(src);
|
||||
TEST_DECLARE_OUTPUT_PARAMETER(dst);
|
||||
|
||||
virtual void SetUp()
|
||||
{
|
||||
depth = GET_PARAM(0);
|
||||
cn = GET_PARAM(1);
|
||||
use_roi = GET_PARAM(2);
|
||||
}
|
||||
|
||||
virtual void generateTestData()
|
||||
{
|
||||
const int stype = CV_MAKE_TYPE(depth, cn);
|
||||
const int dtype = CV_MAKE_TYPE(CV_8U, cn);
|
||||
|
||||
Size roiSize = randomSize(1, MAX_VALUE);
|
||||
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
||||
randomSubMat(src, src_roi, roiSize, srcBorder, stype, 2, 11); // FIXIT: Test with minV, maxV
|
||||
|
||||
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
||||
randomSubMat(dst, dst_roi, roiSize, dstBorder, dtype, 5, 16);
|
||||
|
||||
val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0),
|
||||
rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0));
|
||||
|
||||
UMAT_UPLOAD_INPUT_PARAMETER(src);
|
||||
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
|
||||
}
|
||||
|
||||
void Near(double threshold = 0.)
|
||||
{
|
||||
OCL_EXPECT_MATS_NEAR(dst, threshold);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
|
||||
OCL_TEST_P(ConvertScaleAbs, Mat)
|
||||
{
|
||||
@ -1555,10 +1597,10 @@ OCL_TEST_P(ConvertScaleAbs, Mat)
|
||||
{
|
||||
generateTestData();
|
||||
|
||||
OCL_OFF(cv::convertScaleAbs(src1_roi, dst1_roi, val[0], val[1]));
|
||||
OCL_ON(cv::convertScaleAbs(usrc1_roi, udst1_roi, val[0], val[1]));
|
||||
OCL_OFF(cv::convertScaleAbs(src_roi, dst_roi, val[0], val[1]));
|
||||
OCL_ON(cv::convertScaleAbs(usrc_roi, udst_roi, val[0], val[1]));
|
||||
|
||||
Near(depth <= CV_32S ? 1 : 1e-6);
|
||||
Near(1);
|
||||
}
|
||||
}
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user