| /external/opencv3/modules/core/src/opencl/ |
| set_identity.cl | 46 #if kercn != 3
66 #if kercn == cn
71 #elif kercn == 4 && cn == 1
94 #error "Incorrect combination of cn && kercn"
|
| inrange.cl | 67 int src1_index = mad24(y0, src1_step, mad24(x, (int)sizeof(srcT1) * kercn, src1_offset));
70 int src2_index = mad24(y0, src2_step, mad24(x, (int)sizeof(srcT1) * kercn, src2_offset));
71 int src3_index = mad24(y0, src3_step, mad24(x, (int)sizeof(srcT1) * kercn, src3_offset));
76 #if kercn >= cn && kercn == 4 && depth <= 4 && !defined HAVE_SCALAR
116 #endif // kercn >= cn
|
| flip.cl | 42 #if kercn != 3
103 #if kercn == 2
108 #elif kercn == 4
149 #if kercn == 2
154 #elif kercn == 4
|
| /external/opencv3/modules/features2d/src/opencl/ |
| brute_force_match.cl | 65 # define SHARED_MEM_SZ (kercn * (BLOCK_SIZE * MAX_DESC_LEN + BLOCK_SIZE * BLOCK_SIZE))
67 # define SHARED_MEM_SZ (kercn * 2 * BLOCK_SIZE_ODD * BLOCK_SIZE)
79 # if (8 == kercn)
82 # elif (4 == kercn)
91 # if (8 == kercn)
94 # elif (4 == kercn)
105 # if (8 == kercn)
108 # elif (4 == kercn)
117 # if (8 == kercn)
119 # elif (4 == kercn)
[all...] |
| /external/opencv3/modules/imgproc/src/opencl/ |
| pyr_down.cl | 82 #if kercn == 4
110 #if kercn == 4
134 const int x = get_global_id(0)*kercn;
152 #if kercn == 1
184 #if kercn == 1
216 #if kercn == 1
|
| /external/opencv3/modules/core/src/ |
| umatrix.cpp | 779 int kercn = haveMask || cn == 3 ? cn : std::max(cn, ocl::predictOptimalVectorWidth(*this)),
780 kertp = CV_MAKE_TYPE(d, kercn);
784 convertAndUnrollScalar(value, tp, (uchar *)buf, kercn / cn);
786 int scalarcn = kercn == 3 ? 4 : kercn, rowsPerWI = ocl::Device::getDefault().isIntel() ? 4 : 1;
790 ocl::memopTypeToStr(d), kercn);
808 ocl::KernelArg dstarg = ocl::KernelArg::WriteOnly(*this, cn, kercn);
812 size_t globalsize[] = { cols * cn / kercn, (rows + rowsPerWI - 1) / rowsPerWI };
860 kercn = ocl::predictOptimalVectorWidth(src1, src2);
878 "-D WGS=%d -D WGS2_ALIGNED=%d%s%s%s -D kercn=%d"
[all...] |
| copy.cpp | 680 flipType, kercn = std::min(ocl::predictOptimalVectorWidth(_src, _dst), 4); local
684 kercn = cn;
698 kercn = (cn!=3 || flipType == FLIP_ROWS) ? std::max(kercn, cn) : cn;
701 format( "-D T=%s -D T1=%s -D cn=%d -D PIX_PER_WI_Y=%d -D kercn=%d",
702 kercn != cn ? ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)) : ocl::vecopTypeToStr(CV_MAKE_TYPE(depth, kercn)),
703 kercn != cn ? ocl::typeToStr(depth) : ocl::vecopTypeToStr(depth), cn, pxPerWIy, kercn));
850 kercn = ocl::predictOptimalVectorWidth(_src, _dst); local
[all...] |
| arithm.cpp | 1452 int kercn = haveMask || haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst); local
1827 int kercn = haveMask || haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst); local
4902 int kercn = haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst), rowsPerWI = dev.isIntel() ? 4 : 1; local
4960 convertAndUnrollScalar(Mat(1, 1, CV_32S, &ival), depth1, (uchar *)buf, kercn); local
5600 int kercn = haveScalar ? cn : std::max(std::min(ocl::predictOptimalVectorWidth(_src, _lowerb, _upperb, _dst), 4), cn); local
[all...] |
| matmul.cpp | 838 int kercn = ocl::checkOptimalVectorWidth(vectorWidths, B, D); local
840 String opts = format("-D T=%s -D T1=%s -D WT=%s -D cn=%d -D kercn=%d -D LOCAL_SIZE=%d %s %s %s",
841 ocl::typeToStr(type), ocl::typeToStr(depth), ocl::typeToStr(CV_MAKETYPE(depth, kercn)),
842 cn, kercn, block_size,
853 ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn),
854 ocl::KernelArg::ReadWrite(D, cn, kercn),
858 ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn),
859 ocl::KernelArg::ReadWrite(D, cn, kercn),
862 size_t globalsize[2] = { sizeD.width * cn / kercn, sizeD.height};
2279 int kercn = ocl::predictOptimalVectorWidthMax(_src1, _src2, _dst), local
[all...] |
| stat.cpp | 1058 kercn = cn == 1 && !haveMask ? ocl::predictOptimalVectorWidth(_src, _src2) : 1, local
[all...] |
| mathfuncs.cpp | 67 int kercn = oclop == OCL_OP_PHASE_DEGREES || local
78 oclop2str[oclop], ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)), rowsPerWI,
89 dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn);
96 size_t globalsize[] = { src1.cols * cn / kercn, (src1.rows + rowsPerWI - 1) / rowsPerWI };
[all...] |
| convert.cpp | [all...] |
| matrix.cpp | [all...] |
| ocl.cpp | 5495 int kercn = *std::min_element(kercns.begin(), kercns.end()); local
[all...] |
| /external/opencv3/modules/features2d/src/ |
| matchers.cpp | 78 int kercn = 1; local
82 kercn = 4;
88 max_desc_len = 64 / kercn;
90 max_desc_len = 128 / kercn;
94 opts = cv::format("-D T=%s -D TN=%s -D kercn=%d %s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
95 ocl::typeToStr(depth), ocl::typeToStr(CV_MAKETYPE(depth, kercn)), kercn, depth == CV_32F ? "-D T_FLOAT" : "", distType, block_size, max_desc_len);
178 int kercn = 1; local
182 kercn = 4;
188 max_desc_len = 64 / kercn;
294 int kercn = 1; local
[all...] |
| /external/opencv3/modules/imgproc/src/ |
| deriv.cpp | 759 int wdepth = std::max(depth, floatCoeff ? CV_32F : CV_32S), kercn = 1; local
769 ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)),
770 ocl::typeToStr(CV_MAKE_TYPE(wdepth, kercn)),
771 ocl::typeToStr(CV_MAKE_TYPE(ddepth, kercn)),
773 ocl::convertTypeStr(depth, wdepth, kercn, cvt[0]),
774 ocl::convertTypeStr(wdepth, ddepth, kercn, cvt[1]),
787 dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn);
794 size_t globalsize[] = { dst.cols * cn / kercn, dst.rows };
[all...] |
| pyramids.cpp | 1089 int kercn = 1; local
[all...] |
| accum.cpp | 799 int kercn = haveMask ? cn : ocl::predictOptimalVectorWidthMax(_src, _src2, _dst), rowsPerWI = dev.isIntel() ? 4 : 1; local
811 ocl::typeToStr(sdepth), kercn, ocl::typeToStr(ddepth),
821 dstarg = ocl::KernelArg::ReadWrite(dst, cn, kercn),
838 size_t globalsize[2] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI };
[all...] |
| thresh.cpp | 1142 kercn = ocl::predictOptimalVectorWidth(_src, _dst), ktype = CV_MAKE_TYPE(depth, kercn); local
[all...] |
| histogram.cpp | [all...] |
