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optimization of cv::accumulate**

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This commit is contained in:
Ilya Lavrenov 2014-07-09 19:00:33 +04:00
parent 4b84d5d2c1
commit a350b76738
2 changed files with 59 additions and 26 deletions
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26
modules/imgproc/src/accum.cpp
View File

@ -369,11 +369,17 @@ static bool ocl_accumulate( InputArray _src, InputArray _src2, InputOutputArray
CV_Assert(op_type == ACCUMULATE || op_type == ACCUMULATE_SQUARE ||
op_type == ACCUMULATE_PRODUCT || op_type == ACCUMULATE_WEIGHTED);
int stype = _src.type(), cn = CV_MAT_CN(stype);
int sdepth = CV_MAT_DEPTH(stype), ddepth = _dst.depth();
const ocl::Device & dev = ocl::Device::getDefault();
int vectorWidths[] = { 4, 4, 2, 2, 1, 1, 1, -1 };
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), ddepth = _dst.depth();
int pcn = std::max(vectorWidths[sdepth], vectorWidths[ddepth]), sesz = CV_ELEM_SIZE(sdepth) * pcn,
desz = CV_ELEM_SIZE(ddepth) * pcn, rowsPerWI = dev.isIntel() ? 4 : 1;
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0,
haveMask = !_mask.empty();
bool doubleSupport = dev.doubleFPConfig() > 0, haveMask = !_mask.empty(),
usepcn = _src.offset() % sesz == 0 && _src.step() % sesz == 0 && (_src.cols() * cn) % pcn == 0 &&
_src2.offset() % desz == 0 && _src2.step() % desz == 0 &&
_dst.offset() % pcn == 0 && _dst.step() % desz == 0 && !haveMask;
int kercn = usepcn ? pcn : haveMask ? cn : 1;
if (!doubleSupport && (sdepth == CV_64F || ddepth == CV_64F))
return false;
@ -381,11 +387,13 @@ static bool ocl_accumulate( InputArray _src, InputArray _src2, InputOutputArray
const char * const opMap[4] = { "ACCUMULATE", "ACCUMULATE_SQUARE", "ACCUMULATE_PRODUCT",
"ACCUMULATE_WEIGHTED" };
char cvt[40];
ocl::Kernel k("accumulate", ocl::imgproc::accumulate_oclsrc,
format("-D %s%s -D srcT=%s -D cn=%d -D dstT=%s%s",
format("-D %s%s -D srcT1=%s -D cn=%d -D dstT1=%s%s -D rowsPerWI=%d -D convertToDT=%s",
opMap[op_type], haveMask ? " -D HAVE_MASK" : "",
ocl::typeToStr(sdepth), cn, ocl::typeToStr(ddepth),
doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
ocl::typeToStr(sdepth), kercn, ocl::typeToStr(ddepth),
doubleSupport ? " -D DOUBLE_SUPPORT" : "", rowsPerWI,
ocl::convertTypeStr(sdepth, ddepth, 1, cvt)));
if (k.empty())
return false;
@ -393,7 +401,7 @@ static bool ocl_accumulate( InputArray _src, InputArray _src2, InputOutputArray
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),
src2arg = ocl::KernelArg::ReadOnlyNoSize(src2),
dstarg = ocl::KernelArg::ReadWrite(dst),
dstarg = ocl::KernelArg::ReadWrite(dst, cn, kercn),
maskarg = ocl::KernelArg::ReadOnlyNoSize(mask);
int argidx = k.set(0, srcarg);
@ -410,7 +418,7 @@ static bool ocl_accumulate( InputArray _src, InputArray _src2, InputOutputArray
if (haveMask)
k.set(argidx, maskarg);
size_t globalsize[2] = { src.cols, src.rows };
size_t globalsize[2] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI };
return k.run(2, globalsize, NULL, false);
}

59
modules/imgproc/src/opencl/accumulate.cl
View File

@ -13,13 +13,18 @@
#endif
#endif
#define SRC_TSIZE cn * (int)sizeof(srcT1)
#define DST_TSIZE cn * (int)sizeof(dstT1)
#define noconvert
__kernel void accumulate(__global const uchar * srcptr, int src_step, int src_offset,
#ifdef ACCUMULATE_PRODUCT
__global const uchar * src2ptr, int src2_step, int src2_offset,
#endif
__global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols
#ifdef ACCUMULATE_WEIGHTED
, dstT alpha
, dstT1 alpha
#endif
#ifdef HAVE_MASK
, __global const uchar * mask, int mask_step, int mask_offset
@ -27,39 +32,59 @@ __kernel void accumulate(__global const uchar * srcptr, int src_step, int src_of
)
{
int x = get_global_id(0);
int y = get_global_id(1);
int y = get_global_id(1) * rowsPerWI;
if (x < dst_cols && y < dst_rows)
if (x < dst_cols)
{
int src_index = mad24(y, src_step, src_offset + x * cn * (int)sizeof(srcT));
int src_index = mad24(y, src_step, mad24(x, SRC_TSIZE, src_offset));
#ifdef HAVE_MASK
int mask_index = mad24(y, mask_step, mask_offset + x);
mask += mask_index;
#endif
int dst_index = mad24(y, dst_step, dst_offset + x * cn * (int)sizeof(dstT));
__global const srcT * src = (__global const srcT *)(srcptr + src_index);
#ifdef ACCUMULATE_PRODUCT
int src2_index = mad24(y, src2_step, src2_offset + x * cn * (int)sizeof(srcT));
__global const srcT * src2 = (__global const srcT *)(src2ptr + src2_index);
int src2_index = mad24(y, src2_step, mad24(x, SRC_TSIZE, src2_offset));
#endif
__global dstT * dst = (__global dstT *)(dstptr + dst_index);
int dst_index = mad24(y, dst_step, mad24(x, DST_TSIZE, dst_offset));
#pragma unroll
for (int c = 0; c < cn; ++c)
#ifdef HAVE_MASK
if (mask[0])
for (int i = 0; i < rowsPerWI; ++i)
if (y < dst_rows)
{
__global const srcT1 * src = (__global const srcT1 *)(srcptr + src_index);
#ifdef ACCUMULATE_PRODUCT
__global const srcT1 * src2 = (__global const srcT1 *)(src2ptr + src2_index);
#endif
__global dstT1 * dst = (__global dstT1 *)(dstptr + dst_index);
#ifdef HAVE_MASK
if (mask[0])
#endif
#pragma unroll
for (int c = 0; c < cn; ++c)
{
#ifdef ACCUMULATE
dst[c] += src[c];
dst[c] += convertToDT(src[c]);
#elif defined ACCUMULATE_SQUARE
dst[c] += src[c] * src[c];
dstT1 val = convertToDT(src[c]);
dst[c] = fma(val, val, dst[c]);
#elif defined ACCUMULATE_PRODUCT
dst[c] += src[c] * src2[c];
dst[c] = fma(convertToDT(src[c]), convertToDT(src2[c]), dst[c]);
#elif defined ACCUMULATE_WEIGHTED
dst[c] = (1 - alpha) * dst[c] + src[c] * alpha;
dst[c] = fma(1 - alpha, dst[c], src[c] * alpha);
#else
#error "Unknown accumulation type"
#endif
}
src_index += src_step;
#ifdef ACCUMULATE_PRODUCT
src2_index += src2_step;
#endif
#ifdef HAVE_MASK
mask += mask_step;
#endif
dst_index += dst_step;
++y;
}
}
}