{
bool haveMask = !_mask.empty();
#ifdef HAVE_OPENCL
- int tp = type(), cn = CV_MAT_CN(tp);
+ int tp = type(), cn = CV_MAT_CN(tp), depth = CV_MAT_DEPTH(tp);
if( dims <= 2 && cn <= 4 && CV_MAT_DEPTH(tp) < CV_64F && ocl::useOpenCL() )
{
Mat value = _value.getMat();
CV_Assert( checkScalar(value, type(), _value.kind(), _InputArray::UMAT) );
- double buf[4] = { 0, 0, 0, 0 };
- convertAndUnrollScalar(value, tp, (uchar *)buf, 1);
+ int kercn = haveMask || cn == 3 ? cn : std::max(cn, ocl::predictOptimalVectorWidth(*this)),
+ kertp = CV_MAKE_TYPE(depth, kercn);
- int scalarcn = cn == 3 ? 4 : cn, rowsPerWI = ocl::Device::getDefault().isIntel() ? 4 : 1;
+ double buf[16] = { 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0, 0, 0 };
+ convertAndUnrollScalar(value, tp, (uchar *)buf, kercn / cn);
+
+ int scalarcn = kercn == 3 ? 4 : kercn, rowsPerWI = ocl::Device::getDefault().isIntel() ? 4 : 1;
String opts = format("-D dstT=%s -D rowsPerWI=%d -D dstST=%s -D dstT1=%s -D cn=%d",
- ocl::memopTypeToStr(tp), rowsPerWI,
- ocl::memopTypeToStr(CV_MAKETYPE(tp, scalarcn)),
- ocl::memopTypeToStr(CV_MAT_DEPTH(tp)), cn);
+ ocl::memopTypeToStr(kertp), rowsPerWI,
+ ocl::memopTypeToStr(CV_MAKETYPE(depth, scalarcn)),
+ ocl::memopTypeToStr(depth), kercn);
ocl::Kernel setK(haveMask ? "setMask" : "set", ocl::core::copyset_oclsrc, opts);
if( !setK.empty() )
{
- ocl::KernelArg scalararg(0, 0, 0, 0, buf, CV_ELEM_SIZE1(tp) * scalarcn);
+ ocl::KernelArg scalararg(0, 0, 0, 0, buf, CV_ELEM_SIZE(depth) * scalarcn);
UMat mask;
if( haveMask )
}
else
{
- ocl::KernelArg dstarg = ocl::KernelArg::WriteOnly(*this);
+ ocl::KernelArg dstarg = ocl::KernelArg::WriteOnly(*this, cn, kercn);
setK.args(dstarg, scalararg);
}
- size_t globalsize[] = { cols, (rows + rowsPerWI - 1) / rowsPerWI };
+ size_t globalsize[] = { cols * cn / kercn, (rows + rowsPerWI - 1) / rowsPerWI };
if( setK.run(2, globalsize, NULL, false) )
{
CV_IMPL_ADD(CV_IMPL_OCL);