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https://github.com/opencv/opencv.git
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optimized cv::norm with 2 args
This commit is contained in:
parent
1a7a262f74
commit
2040995801
@ -73,14 +73,26 @@
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#define CALC_MAX(p, inc)
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#endif
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#ifdef OP_CALC2
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#define CALC_MAX2(p) \
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if (maxval2 < temp.p) \
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maxval2 = temp.p
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#else
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#define CALC_MAX2(p)
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#endif
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#define CALC_P(p, inc) \
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CALC_MIN(p, inc) \
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CALC_MAX(p, inc)
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CALC_MAX(p, inc) \
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CALC_MAX2(p)
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__kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_offset, int cols,
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int total, int groupnum, __global uchar * dstptr
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#ifdef HAVE_MASK
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, __global const uchar * mask, int mask_step, int mask_offset
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#endif
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#ifdef HAVE_SRC2
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, __global const uchar * src2ptr, int src2_step, int src2_offset
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#endif
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)
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{
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@ -92,36 +104,46 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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#ifdef HAVE_MASK
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mask += mask_offset;
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#endif
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#ifdef HAVE_SRC2
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src2ptr += src2_offset;
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#endif
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#ifdef NEED_MINVAL
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__local dstT1 localmem_min[WGS2_ALIGNED];
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dstT1 minval = MAX_VAL;
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#ifdef NEED_MINLOC
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__local uint localmem_minloc[WGS2_ALIGNED];
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uint minloc = INDEX_MAX;
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#endif
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#endif
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#ifdef NEED_MAXVAL
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dstT1 maxval = MIN_VAL;
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__local dstT1 localmem_max[WGS2_ALIGNED];
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#ifdef NEED_MAXLOC
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__local uint localmem_maxloc[WGS2_ALIGNED];
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uint maxloc = INDEX_MAX;
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#endif
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#endif
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#ifdef OP_CALC2
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__local dstT1 localmem_max2[WGS2_ALIGNED];
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dstT1 maxval2 = MIN_VAL;
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#endif
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dstT1 minval = MAX_VAL, maxval = MIN_VAL;
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dstT temp;
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uint minloc = INDEX_MAX, maxloc = INDEX_MAX;
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int src_index;
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#ifdef HAVE_MASK
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int mask_index;
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#endif
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#ifdef HAVE_SRC2
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int src2_index;
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#endif
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dstT temp;
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#ifdef HAVE_SRC2
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dstT temp2;
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#endif
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for (int grain = groupnum * WGS * kercn; id < total; id += grain)
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{
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#ifdef HAVE_SRC_CONT
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src_index = mul24(id, (int)sizeof(srcT1));
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#else
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src_index = mad24(id / cols, src_step, mul24(id % cols, (int)sizeof(srcT1)));
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#endif
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#ifdef HAVE_MASK
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#ifdef HAVE_MASK_CONT
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mask_index = id;
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@ -131,7 +153,26 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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if (mask[mask_index])
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#endif
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{
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#ifdef HAVE_SRC_CONT
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src_index = mul24(id, (int)sizeof(srcT1));
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#else
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src_index = mad24(id / cols, src_step, mul24(id % cols, (int)sizeof(srcT1)));
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#endif
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temp = convertToDT(*(__global const srcT *)(srcptr + src_index));
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#ifdef OP_ABS
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temp = temp >= (dstT)(0) ? temp : -temp;
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#endif
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#ifdef HAVE_SRC2
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#ifdef HAVE_SRC2_CONT
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src2_index = mul24(id, (int)sizeof(srcT1));
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#else
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src2_index = mad24(id / cols, src2_step, mul24(id % cols, (int)sizeof(srcT1)));
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#endif
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temp2 = convertToDT(*(__global const srcT *)(src2ptr + src2_index));
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp);
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#endif
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#if kercn == 1
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#ifdef NEED_MINVAL
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if (minval > temp)
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@ -150,6 +191,11 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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maxloc = id;
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#endif
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}
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#ifdef OP_CALC2
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temp2 = temp2 >= (dstT)(0) ? temp2 : -temp2;
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if (maxval2 < temp2)
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maxval2 = temp2;
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#endif
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#endif
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#elif kercn >= 2
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CALC_P(s0, 0)
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@ -191,6 +237,9 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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#endif
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#ifdef NEED_MAXLOC
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localmem_maxloc[lid] = maxloc;
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#endif
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#ifdef OP_CALC2
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localmem_max2[lid] = maxval2;
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#endif
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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@ -221,6 +270,10 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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#endif
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localmem_max[lid3] = maxval;
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}
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#endif
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#ifdef OP_CALC2
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if (localmem_max2[lid3] < maxval2)
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localmem_max2[lid3] = maxval2;
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#endif
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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@ -254,6 +307,10 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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#endif
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localmem_max[lid] = localmem_max[lid2];
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}
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#endif
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#ifdef OP_CALC2
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if (localmem_max2[lid] < localmem_max2[lid2])
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localmem_max2[lid] = localmem_max2[lid2];
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#endif
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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@ -276,6 +333,10 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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#endif
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#ifdef NEED_MAXLOC
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*(__global uint *)(dstptr + mad24(gid, (int)sizeof(uint), pos)) = localmem_maxloc[0];
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#endif
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#ifdef OP_CALC2
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pos = mad24(groupnum, (int)sizeof(uint), pos);
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*(__global dstT1 *)(dstptr + mad24(gid, (int)sizeof(dstT1), pos)) = localmem_max2[0];
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#endif
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}
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}
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@ -109,13 +109,22 @@
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#endif
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#ifdef HAVE_MASK
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#ifdef HAVE_SRC2
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#define EXTRA_PARAMS , __global const uchar * mask, int mask_step, int mask_offset, __global const uchar * src2ptr, int src2_step, int src2_offset
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#else
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#define EXTRA_PARAMS , __global const uchar * mask, int mask_step, int mask_offset
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#endif
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#else
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#ifdef HAVE_SRC2
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#define EXTRA_PARAMS , __global const uchar * src2ptr, int src2_step, int src2_offset
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#else
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#define EXTRA_PARAMS
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#endif
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#endif
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// accumulative reduction stuff
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#if defined OP_SUM || defined OP_SUM_ABS || defined OP_SUM_SQR || defined OP_DOT
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#ifdef OP_DOT
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#if ddepth <= 4
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#define FUNC(a, b, c) a = mad24(b, c, a)
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@ -137,18 +146,48 @@
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#endif
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#endif
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#ifdef OP_CALC2
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#define DECLARE_LOCAL_MEM \
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__local dstT localmem[WGS2_ALIGNED]; \
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__local dstT localmem2[WGS2_ALIGNED]
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#define DEFINE_ACCUMULATOR \
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dstT accumulator = (dstT)(0); \
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dstT accumulator2 = (dstT)(0)
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#else
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#define DECLARE_LOCAL_MEM \
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__local dstT localmem[WGS2_ALIGNED]
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#define DEFINE_ACCUMULATOR \
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dstT accumulator = (dstT)(0)
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#endif
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#ifdef HAVE_SRC2
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#ifdef OP_CALC2
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#define PROCESS_ELEMS \
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dstT temp = convertToDT(loadpix(srcptr + src_index)) - convertToDT(loadpix(src2ptr + src2_index)); \
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dstT temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp -= temp2; \
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temp = temp > (dstT)(0) ? temp : -temp; \
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FUNC(accumulator2, temp2); \
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FUNC(accumulator, temp)
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#else
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#define PROCESS_ELEMS \
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dstT temp = convertToDT(loadpix(srcptr + src_index)); \
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dstT temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp)
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#endif
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#else
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#define PROCESS_ELEMS \
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dstT temp = convertToDT(loadpix(srcptr + src_index)); \
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FUNC(accumulator, temp)
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#endif
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#ifdef HAVE_MASK
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#define REDUCE_GLOBAL \
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MASK_INDEX; \
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if (mask[mask_index]) \
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{ \
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dstT temp = convertToDT(loadpix(srcptr + src_index)); \
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FUNC(accumulator, temp); \
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PROCESS_ELEMS; \
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}
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#elif defined OP_DOT
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@ -211,7 +250,158 @@
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FUNC(accumulator, temp.sF, temp2.sF)
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#endif
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#else
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#else // sum or norm with 2 args
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#ifdef HAVE_SRC2
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#ifdef OP_CALC2 // norm relative
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#if kercn == 1
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp); \
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FUNC(accumulator2, temp2)
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#elif kercn == 2
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1); \
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FUNC(accumulator2, temp2.s0); \
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FUNC(accumulator2, temp2.s1)
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#elif kercn == 4
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1); \
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FUNC(accumulator, temp.s2); \
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FUNC(accumulator, temp.s3); \
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FUNC(accumulator2, temp2.s0); \
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FUNC(accumulator2, temp2.s1); \
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FUNC(accumulator2, temp2.s2); \
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FUNC(accumulator2, temp2.s3)
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#elif kercn == 8
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1); \
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FUNC(accumulator, temp.s2); \
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FUNC(accumulator, temp.s3); \
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FUNC(accumulator, temp.s4); \
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FUNC(accumulator, temp.s5); \
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FUNC(accumulator, temp.s6); \
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FUNC(accumulator, temp.s7); \
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FUNC(accumulator2, temp2.s0); \
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FUNC(accumulator2, temp2.s1); \
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FUNC(accumulator2, temp2.s2); \
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FUNC(accumulator2, temp2.s3); \
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FUNC(accumulator2, temp2.s4); \
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FUNC(accumulator2, temp2.s5); \
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FUNC(accumulator2, temp2.s6); \
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FUNC(accumulator2, temp2.s7)
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#elif kercn == 16
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1); \
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FUNC(accumulator, temp.s2); \
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FUNC(accumulator, temp.s3); \
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FUNC(accumulator, temp.s4); \
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FUNC(accumulator, temp.s5); \
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FUNC(accumulator, temp.s6); \
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FUNC(accumulator, temp.s7); \
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FUNC(accumulator, temp.s8); \
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FUNC(accumulator, temp.s9); \
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FUNC(accumulator, temp.sA); \
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FUNC(accumulator, temp.sB); \
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FUNC(accumulator, temp.sC); \
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FUNC(accumulator, temp.sD); \
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FUNC(accumulator, temp.sE); \
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FUNC(accumulator, temp.sF); \
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FUNC(accumulator2, temp2.s0); \
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FUNC(accumulator2, temp2.s1); \
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FUNC(accumulator2, temp2.s2); \
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FUNC(accumulator2, temp2.s3); \
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FUNC(accumulator2, temp2.s4); \
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FUNC(accumulator2, temp2.s5); \
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FUNC(accumulator2, temp2.s6); \
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FUNC(accumulator2, temp2.s7); \
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FUNC(accumulator2, temp2.s8); \
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FUNC(accumulator2, temp2.s9); \
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FUNC(accumulator2, temp2.sA); \
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FUNC(accumulator2, temp2.sB); \
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FUNC(accumulator2, temp2.sC); \
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FUNC(accumulator2, temp2.sD); \
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FUNC(accumulator2, temp2.sE); \
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FUNC(accumulator2, temp2.sF)
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#endif
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#else // norm with 2 args
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#if kercn == 1
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp)
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#elif kercn == 2
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1)
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#elif kercn == 4
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1); \
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FUNC(accumulator, temp.s2); \
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FUNC(accumulator, temp.s3)
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#elif kercn == 8
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1); \
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FUNC(accumulator, temp.s2); \
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FUNC(accumulator, temp.s3); \
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FUNC(accumulator, temp.s4); \
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FUNC(accumulator, temp.s5); \
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FUNC(accumulator, temp.s6); \
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FUNC(accumulator, temp.s7)
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#elif kercn == 16
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \
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temp = temp > temp2 ? temp - temp2 : (temp2 - temp); \
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FUNC(accumulator, temp.s0); \
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FUNC(accumulator, temp.s1); \
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FUNC(accumulator, temp.s2); \
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FUNC(accumulator, temp.s3); \
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FUNC(accumulator, temp.s4); \
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FUNC(accumulator, temp.s5); \
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FUNC(accumulator, temp.s6); \
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FUNC(accumulator, temp.s7); \
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FUNC(accumulator, temp.s8); \
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FUNC(accumulator, temp.s9); \
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FUNC(accumulator, temp.sA); \
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FUNC(accumulator, temp.sB); \
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FUNC(accumulator, temp.sC); \
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FUNC(accumulator, temp.sD); \
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FUNC(accumulator, temp.sE); \
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FUNC(accumulator, temp.sF)
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#endif
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#endif
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#else // sum
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#if kercn == 1
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#define REDUCE_GLOBAL \
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dstTK temp = convertToDT(loadpix(srcptr + src_index)); \
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@ -260,6 +450,7 @@
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FUNC(accumulator, temp.sF)
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#endif
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#endif
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#endif
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#define SET_LOCAL_1 \
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localmem[lid] = accumulator
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@ -325,6 +516,20 @@
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accumulator += value.sF == zero ? zero : one
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#endif
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#ifdef OP_CALC2
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#define SET_LOCAL_1 \
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localmem[lid] = accumulator; \
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localmem2[lid] = accumulator2; \
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#define REDUCE_LOCAL_1 \
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localmem[lid - WGS2_ALIGNED] += accumulator; \
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localmem2[lid - WGS2_ALIGNED] += accumulator2
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#define REDUCE_LOCAL_2 \
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localmem[lid] += localmem[lid2]; \
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localmem2[lid] += localmem2[lid2]
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#define CALC_RESULT \
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storepix(localmem[0], dstptr + dstTSIZE * gid); \
|
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storepix(localmem2[0], dstptr + mad24(groupnum, srcTSIZE, dstTSIZE * gid))
|
||||
#else
|
||||
#define SET_LOCAL_1 \
|
||||
localmem[lid] = accumulator
|
||||
#define REDUCE_LOCAL_1 \
|
||||
@ -333,6 +538,7 @@
|
||||
localmem[lid] += localmem[lid2]
|
||||
#define CALC_RESULT \
|
||||
storepix(localmem[0], dstptr + dstTSIZE * gid)
|
||||
#endif
|
||||
|
||||
// norm (NORM_INF) with cn > 1 and mask
|
||||
#elif defined OP_NORM_INF_MASK
|
||||
@ -384,6 +590,13 @@ __kernel void reduce(__global const uchar * srcptr, int src_step, int src_offset
|
||||
int src_index = mul24(id, srcTSIZE);
|
||||
#else
|
||||
int src_index = mad24(id / cols, src_step, mul24(id % cols, srcTSIZE));
|
||||
#endif
|
||||
#ifdef HAVE_SRC2
|
||||
#ifdef HAVE_SRC2_CONT
|
||||
int src2_index = mul24(id, srcTSIZE);
|
||||
#else
|
||||
int src2_index = mad24(id / cols, src2_step, mul24(id % cols, srcTSIZE));
|
||||
#endif
|
||||
#endif
|
||||
REDUCE_GLOBAL;
|
||||
}
|
||||
|
@ -469,21 +469,25 @@ template <typename T> Scalar ocl_part_sum(Mat m)
|
||||
|
||||
enum { OCL_OP_SUM = 0, OCL_OP_SUM_ABS = 1, OCL_OP_SUM_SQR = 2 };
|
||||
|
||||
static bool ocl_sum( InputArray _src, Scalar & res, int sum_op, InputArray _mask = noArray() )
|
||||
static bool ocl_sum( InputArray _src, Scalar & res, int sum_op, InputArray _mask = noArray(),
|
||||
InputArray _src2 = noArray(), bool calc2 = false, const Scalar & res2 = Scalar() )
|
||||
{
|
||||
CV_Assert(sum_op == OCL_OP_SUM || sum_op == OCL_OP_SUM_ABS || sum_op == OCL_OP_SUM_SQR);
|
||||
|
||||
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0,
|
||||
haveMask = _mask.kind() != _InputArray::NONE;
|
||||
const ocl::Device & dev = ocl::Device::getDefault();
|
||||
bool doubleSupport = dev.doubleFPConfig() > 0,
|
||||
haveMask = _mask.kind() != _InputArray::NONE,
|
||||
haveSrc2 = _src2.kind() != _InputArray::NONE;
|
||||
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
|
||||
kercn = cn == 1 && !haveMask ? ocl::predictOptimalVectorWidth(_src) : 1,
|
||||
mcn = std::max(cn, kercn);
|
||||
CV_Assert(!haveSrc2 || _src2.type() == type);
|
||||
|
||||
if ( (!doubleSupport && depth == CV_64F) || cn > 4 )
|
||||
return false;
|
||||
|
||||
int dbsize = ocl::Device::getDefault().maxComputeUnits();
|
||||
size_t wgs = ocl::Device::getDefault().maxWorkGroupSize();
|
||||
int ngroups = dev.maxComputeUnits(), dbsize = ngroups * (calc2 ? 2 : 1);
|
||||
size_t wgs = dev.maxWorkGroupSize();
|
||||
|
||||
int ddepth = std::max(sum_op == OCL_OP_SUM_SQR ? CV_32F : CV_32S, depth),
|
||||
dtype = CV_MAKE_TYPE(ddepth, cn);
|
||||
@ -497,7 +501,7 @@ static bool ocl_sum( InputArray _src, Scalar & res, int sum_op, InputArray _mask
|
||||
static const char * const opMap[3] = { "OP_SUM", "OP_SUM_ABS", "OP_SUM_SQR" };
|
||||
char cvt[40];
|
||||
String opts = format("-D srcT=%s -D srcT1=%s -D dstT=%s -D dstTK=%s -D dstT1=%s -D ddepth=%d -D cn=%d"
|
||||
" -D convertToDT=%s -D %s -D WGS=%d -D WGS2_ALIGNED=%d%s%s%s%s -D kercn=%d",
|
||||
" -D convertToDT=%s -D %s -D WGS=%d -D WGS2_ALIGNED=%d%s%s%s%s -D kercn=%d%s%s%s",
|
||||
ocl::typeToStr(CV_MAKE_TYPE(depth, mcn)), ocl::typeToStr(depth),
|
||||
ocl::typeToStr(dtype), ocl::typeToStr(CV_MAKE_TYPE(ddepth, mcn)),
|
||||
ocl::typeToStr(ddepth), ddepth, cn,
|
||||
@ -506,30 +510,49 @@ static bool ocl_sum( InputArray _src, Scalar & res, int sum_op, InputArray _mask
|
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : "",
|
||||
haveMask ? " -D HAVE_MASK" : "",
|
||||
_src.isContinuous() ? " -D HAVE_SRC_CONT" : "",
|
||||
_mask.isContinuous() ? " -D HAVE_MASK_CONT" : "", kercn);
|
||||
haveMask && _mask.isContinuous() ? " -D HAVE_MASK_CONT" : "", kercn,
|
||||
haveSrc2 ? " -D HAVE_SRC2" : "", calc2 ? " -D OP_CALC2" : "",
|
||||
haveSrc2 && _src2.isContinuous() ? " -D HAVE_SRC2_CONT" : "");
|
||||
|
||||
ocl::Kernel k("reduce", ocl::core::reduce_oclsrc, opts);
|
||||
if (k.empty())
|
||||
return false;
|
||||
|
||||
UMat src = _src.getUMat(), db(1, dbsize, dtype), mask = _mask.getUMat();
|
||||
UMat src = _src.getUMat(), src2 = _src2.getUMat(),
|
||||
db(1, dbsize, dtype), mask = _mask.getUMat();
|
||||
|
||||
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),
|
||||
dbarg = ocl::KernelArg::PtrWriteOnly(db),
|
||||
maskarg = ocl::KernelArg::ReadOnlyNoSize(mask);
|
||||
maskarg = ocl::KernelArg::ReadOnlyNoSize(mask),
|
||||
src2arg = ocl::KernelArg::ReadOnlyNoSize(src2);
|
||||
|
||||
if (haveMask)
|
||||
k.args(srcarg, src.cols, (int)src.total(), dbsize, dbarg, maskarg);
|
||||
{
|
||||
if (haveSrc2)
|
||||
k.args(srcarg, src.cols, (int)src.total(), ngroups, dbarg, maskarg, src2arg);
|
||||
else
|
||||
k.args(srcarg, src.cols, (int)src.total(), ngroups, dbarg, maskarg);
|
||||
}
|
||||
else
|
||||
k.args(srcarg, src.cols, (int)src.total(), dbsize, dbarg);
|
||||
{
|
||||
if (haveSrc2)
|
||||
k.args(srcarg, src.cols, (int)src.total(), ngroups, dbarg, src2arg);
|
||||
else
|
||||
k.args(srcarg, src.cols, (int)src.total(), ngroups, dbarg);
|
||||
}
|
||||
|
||||
size_t globalsize = dbsize * wgs;
|
||||
size_t globalsize = ngroups * wgs;
|
||||
if (k.run(1, &globalsize, &wgs, false))
|
||||
{
|
||||
typedef Scalar (*part_sum)(Mat m);
|
||||
part_sum funcs[3] = { ocl_part_sum<int>, ocl_part_sum<float>, ocl_part_sum<double> },
|
||||
func = funcs[ddepth - CV_32S];
|
||||
res = func(db.getMat(ACCESS_READ));
|
||||
|
||||
Mat mres = db.getMat(ACCESS_READ);
|
||||
if (calc2)
|
||||
const_cast<Scalar &>(res2) = func(mres.colRange(dbsize, dbsize));
|
||||
|
||||
res = func(mres.colRange(0, dbsize));
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
@ -1396,18 +1419,21 @@ typedef void (*getMinMaxResFunc)(const Mat & db, double *minVal, double *maxVal,
|
||||
int *minLoc, int *maxLoc, int gropunum, int cols);
|
||||
|
||||
static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int* minLoc, int* maxLoc, InputArray _mask,
|
||||
int ddepth = -1, bool absValues = false)
|
||||
int ddepth = -1, bool absValues = false, InputArray _src2 = noArray(), bool calc2 = false)
|
||||
{
|
||||
CV_Assert( (_src.channels() == 1 && (_mask.empty() || _mask.type() == CV_8U)) ||
|
||||
(_src.channels() >= 1 && _mask.empty() && !minLoc && !maxLoc) );
|
||||
|
||||
const ocl::Device & dev = ocl::Device::getDefault();
|
||||
bool doubleSupport = dev.doubleFPConfig() > 0, haveMask = !_mask.empty();
|
||||
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 ? 1 : std::min(4, ocl::predictOptimalVectorWidth(_src));
|
||||
if (ddepth < 0)
|
||||
ddepth = depth;
|
||||
|
||||
CV_Assert(!haveSrc2 || _src2.type() == type);
|
||||
|
||||
if ((depth == CV_64F || ddepth == CV_64F) && !doubleSupport)
|
||||
return false;
|
||||
|
||||
@ -1435,7 +1461,7 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
|
||||
char cvt[40];
|
||||
String opts = format("-D DEPTH_%d -D srcT1=%s%s -D WGS=%d -D srcT=%s"
|
||||
" -D WGS2_ALIGNED=%d%s%s%s -D kercn=%d%s%s%s%s"
|
||||
" -D dstT1=%s -D dstT=%s -D convertToDT=%s%s",
|
||||
" -D dstT1=%s -D dstT=%s -D convertToDT=%s%s%s%s%s",
|
||||
depth, ocl::typeToStr(depth), haveMask ? " -D HAVE_MASK" : "", (int)wgs,
|
||||
ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)), wgs2_aligned,
|
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : "",
|
||||
@ -1444,7 +1470,9 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
|
||||
needMinVal ? " -D NEED_MINVAL" : "", needMaxVal ? " -D NEED_MAXVAL" : "",
|
||||
needMinLoc ? " -D NEED_MINLOC" : "", needMaxLoc ? " -D NEED_MAXLOC" : "",
|
||||
ocl::typeToStr(ddepth), ocl::typeToStr(CV_MAKE_TYPE(ddepth, kercn)),
|
||||
ocl::convertTypeStr(depth, ddepth, kercn, cvt), absValues ? " -D OP_ABS" : "");
|
||||
ocl::convertTypeStr(depth, ddepth, kercn, cvt), absValues ? " -D OP_ABS" : "",
|
||||
haveSrc2 ? " -D HAVE_SRC2" : "", calc2 ? " -D OP_CALC2" : "",
|
||||
haveSrc2 && _src2.isContinuous() ? " -D HAVE_SRC2_CONT" : "");
|
||||
|
||||
ocl::Kernel k("minmaxloc", ocl::core::minmaxloc_oclsrc, opts);
|
||||
if (k.empty())
|
||||
@ -1452,18 +1480,35 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
|
||||
|
||||
int esz = CV_ELEM_SIZE(ddepth), esz32s = CV_ELEM_SIZE1(CV_32S),
|
||||
dbsize = groupnum * ((needMinVal ? esz : 0) + (needMaxVal ? esz : 0) +
|
||||
(needMinLoc ? esz32s : 0) + (needMaxLoc ? esz32s : 0));
|
||||
UMat src = _src.getUMat(), db(1, dbsize, CV_8UC1), mask = _mask.getUMat();
|
||||
(needMinLoc ? esz32s : 0) + (needMaxLoc ? esz32s : 0) +
|
||||
(calc2 ? esz : 0));
|
||||
UMat src = _src.getUMat(), src2 = _src2.getUMat(), db(1, dbsize, CV_8UC1), mask = _mask.getUMat();
|
||||
|
||||
if (cn > 1)
|
||||
{
|
||||
src = src.reshape(1);
|
||||
src2 = src2.reshape(1);
|
||||
}
|
||||
|
||||
if (!haveMask)
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(),
|
||||
groupnum, ocl::KernelArg::PtrWriteOnly(db));
|
||||
if (haveSrc2)
|
||||
{
|
||||
if (!haveMask)
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(),
|
||||
groupnum, ocl::KernelArg::PtrWriteOnly(db), ocl::KernelArg::ReadOnlyNoSize(src2));
|
||||
else
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(),
|
||||
groupnum, ocl::KernelArg::PtrWriteOnly(db), ocl::KernelArg::ReadOnlyNoSize(mask),
|
||||
ocl::KernelArg::ReadOnlyNoSize(src2));
|
||||
}
|
||||
else
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(),
|
||||
groupnum, ocl::KernelArg::PtrWriteOnly(db), ocl::KernelArg::ReadOnlyNoSize(mask));
|
||||
{
|
||||
if (!haveMask)
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(),
|
||||
groupnum, ocl::KernelArg::PtrWriteOnly(db));
|
||||
else
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(),
|
||||
groupnum, ocl::KernelArg::PtrWriteOnly(db), ocl::KernelArg::ReadOnlyNoSize(mask));
|
||||
}
|
||||
|
||||
size_t globalsize = groupnum * wgs;
|
||||
if (!k.run(1, &globalsize, &wgs, false))
|
||||
@ -2498,38 +2543,45 @@ namespace cv {
|
||||
|
||||
static bool ocl_norm( InputArray _src1, InputArray _src2, int normType, InputArray _mask, double & result )
|
||||
{
|
||||
const ocl::Device & d = ocl::Device::getDefault();
|
||||
int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), rowsPerWI = d.isIntel() ? 4 : 1;
|
||||
bool doubleSupport = d.doubleFPConfig() > 0;
|
||||
bool relative = (normType & NORM_RELATIVE) != 0;
|
||||
Scalar sc1, sc2;
|
||||
int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
|
||||
bool relative = (normType & NORM_RELATIVE) != 0,
|
||||
normsum = normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR;
|
||||
normType &= ~NORM_RELATIVE;
|
||||
|
||||
if ( !(normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR) ||
|
||||
(!doubleSupport && depth == CV_64F))
|
||||
if ( !(normType == NORM_INF || normsum) )
|
||||
return false;
|
||||
|
||||
int wdepth = std::max(CV_32S, depth);
|
||||
char cvt[50];
|
||||
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
|
||||
format("-D BINARY_OP -D OP_ABSDIFF -D dstT=%s -D workT=dstT -D srcT1=%s -D srcT2=srcT1"
|
||||
" -D convertToDT=%s -D convertToWT1=convertToDT -D convertToWT2=convertToDT -D rowsPerWI=%d%s",
|
||||
ocl::typeToStr(wdepth), ocl::typeToStr(depth),
|
||||
ocl::convertTypeStr(depth, wdepth, 1, cvt), rowsPerWI,
|
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
|
||||
if (k.empty())
|
||||
return false;
|
||||
if (normsum)
|
||||
{
|
||||
if (!ocl_sum(_src1, sc1, normType == NORM_L2 || normType == NORM_L2SQR ?
|
||||
OCL_OP_SUM_SQR : OCL_OP_SUM, _mask, _src2, relative, sc2))
|
||||
return false;
|
||||
}
|
||||
else
|
||||
{
|
||||
if (!ocl_minMaxIdx(_src1, NULL, &result, NULL, NULL, _mask, std::max(CV_32S, depth),
|
||||
false, _src2, relative))
|
||||
return false;
|
||||
}
|
||||
|
||||
UMat src1 = _src1.getUMat(), src2 = _src2.getUMat(), diff(src1.size(), CV_MAKE_TYPE(wdepth, cn));
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src1), ocl::KernelArg::ReadOnlyNoSize(src2),
|
||||
ocl::KernelArg::WriteOnly(diff, cn));
|
||||
double s2 = 0;
|
||||
for (int i = 0; i < cn; ++i)
|
||||
{
|
||||
result += sc1[i];
|
||||
if (relative)
|
||||
s2 += sc2[i];
|
||||
}
|
||||
|
||||
size_t globalsize[2] = { diff.cols * cn, (diff.rows + rowsPerWI - 1) / rowsPerWI };
|
||||
if (!k.run(2, globalsize, NULL, false))
|
||||
return false;
|
||||
if (normType == NORM_L2)
|
||||
{
|
||||
result = std::sqrt(result);
|
||||
if (relative)
|
||||
s2 = std::sqrt(s2);
|
||||
}
|
||||
|
||||
result = cv::norm(diff, normType, _mask);
|
||||
if (relative)
|
||||
result /= cv::norm(src2, normType, _mask) + DBL_EPSILON;
|
||||
result /= (s2 + DBL_EPSILON);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user