Merge pull request #2956 from ilya-lavrenov:tapi_accumulate
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@@ -4451,42 +4451,46 @@ String kernelToStr(InputArray _kernel, int ddepth, const char * name)
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if (!src.empty()) \
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{ \
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CV_Assert(src.isMat() || src.isUMat()); \
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int ctype = src.type(), ccn = CV_MAT_CN(ctype); \
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Size csize = src.size(); \
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cols.push_back(ccn * csize.width); \
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if (ctype != type) \
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int ctype = src.type(), ccn = CV_MAT_CN(ctype), cdepth = CV_MAT_DEPTH(ctype), \
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ckercn = vectorWidths[cdepth], cwidth = ccn * csize.width; \
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if (cwidth < ckercn || ckercn <= 0) \
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return 1; \
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cols.push_back(cwidth); \
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if (strat == OCL_VECTOR_OWN && ctype != ref_type) \
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return 1; \
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offsets.push_back(src.offset()); \
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steps.push_back(src.step()); \
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dividers.push_back(ckercn * CV_ELEM_SIZE1(ctype)); \
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kercns.push_back(ckercn); \
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} \
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} \
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while ((void)0, 0)
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int predictOptimalVectorWidth(InputArray src1, InputArray src2, InputArray src3,
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InputArray src4, InputArray src5, InputArray src6,
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InputArray src7, InputArray src8, InputArray src9)
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InputArray src7, InputArray src8, InputArray src9,
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OclVectorStrategy strat)
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{
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int type = src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), esz1 = CV_ELEM_SIZE1(depth);
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Size ssize = src1.size();
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const ocl::Device & d = ocl::Device::getDefault();
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int ref_type = src1.type();
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int vectorWidths[] = { d.preferredVectorWidthChar(), d.preferredVectorWidthChar(),
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d.preferredVectorWidthShort(), d.preferredVectorWidthShort(),
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d.preferredVectorWidthInt(), d.preferredVectorWidthFloat(),
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d.preferredVectorWidthDouble(), -1 }, kercn = vectorWidths[depth];
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d.preferredVectorWidthDouble(), -1 };
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// if the device says don't use vectors
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if (vectorWidths[0] == 1)
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{
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// it's heuristic
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int vectorWidthsOthers[] = { 16, 16, 8, 8, 1, 1, 1, -1 };
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kercn = vectorWidthsOthers[depth];
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vectorWidths[CV_8U] = vectorWidths[CV_8S] = 16;
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vectorWidths[CV_16U] = vectorWidths[CV_16S] = 8;
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vectorWidths[CV_32S] = vectorWidths[CV_32F] = vectorWidths[CV_64F] = 1;
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}
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if (ssize.width * cn < kercn || kercn <= 0)
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return 1;
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std::vector<size_t> offsets, steps, cols;
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std::vector<int> dividers, kercns;
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PROCESS_SRC(src1);
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PROCESS_SRC(src2);
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PROCESS_SRC(src3);
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@@ -4498,27 +4502,24 @@ int predictOptimalVectorWidth(InputArray src1, InputArray src2, InputArray src3,
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PROCESS_SRC(src9);
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size_t size = offsets.size();
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int wsz = kercn * esz1;
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std::vector<int> dividers(size, wsz);
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for (size_t i = 0; i < size; ++i)
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while (offsets[i] % dividers[i] != 0 || steps[i] % dividers[i] != 0 || cols[i] % dividers[i] != 0)
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dividers[i] >>= 1;
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while (offsets[i] % dividers[i] != 0 || steps[i] % dividers[i] != 0 || cols[i] % kercns[i] != 0)
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dividers[i] >>= 1, kercns[i] >>= 1;
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// default strategy
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for (size_t i = 0; i < size; ++i)
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if (dividers[i] != wsz)
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{
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kercn = 1;
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break;
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}
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// another strategy
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// width = *std::min_element(dividers.begin(), dividers.end());
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int kercn = *std::min_element(kercns.begin(), kercns.end());
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return kercn;
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}
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int predictOptimalVectorWidthMax(InputArray src1, InputArray src2, InputArray src3,
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InputArray src4, InputArray src5, InputArray src6,
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InputArray src7, InputArray src8, InputArray src9)
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{
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return predictOptimalVectorWidth(src1, src2, src3, src4, src5, src6, src7, src8, src9, OCL_VECTOR_MAX);
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}
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#undef PROCESS_SRC
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