mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2025-06-12 20:42:53 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

norm.cpp(normL2Sqr_): improve performance of pipeline

Browse Source 
The most of target machine use one type cpu unit resource
to execute some one type of instruction, e.g.
all vx_load API use load/store cpu unit,
and v_muladd API use mul/mula cpu unit, we interleave
vx_load and v_muladd to improve performance on most targets like
RISCV or ARM.
This commit is contained in:
Jojo R 2020-11-17 15:29:03 +08:00
parent 564d1a0f79
commit 12b8d542b7
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
modules/core/src/norm.cpp
View File

@ -152,10 +152,10 @@ float normL2Sqr_(const float* a, const float* b, int n)
{ {
v_float32 t0 = vx_load(a + j) - vx_load(b + j); v_float32 t0 = vx_load(a + j) - vx_load(b + j);
v_float32 t1 = vx_load(a + j + v_float32::nlanes) - vx_load(b + j + v_float32::nlanes); v_float32 t1 = vx_load(a + j + v_float32::nlanes) - vx_load(b + j + v_float32::nlanes);
v_float32 t2 = vx_load(a + j + 2 * v_float32::nlanes) - vx_load(b + j + 2 * v_float32::nlanes);
v_float32 t3 = vx_load(a + j + 3 * v_float32::nlanes) - vx_load(b + j + 3 * v_float32::nlanes);
v_d0 = v_muladd(t0, t0, v_d0); v_d0 = v_muladd(t0, t0, v_d0);
v_float32 t2 = vx_load(a + j + 2 * v_float32::nlanes) - vx_load(b + j + 2 * v_float32::nlanes);
v_d1 = v_muladd(t1, t1, v_d1); v_d1 = v_muladd(t1, t1, v_d1);
v_float32 t3 = vx_load(a + j + 3 * v_float32::nlanes) - vx_load(b + j + 3 * v_float32::nlanes);
v_d2 = v_muladd(t2, t2, v_d2); v_d2 = v_muladd(t2, t2, v_d2);
v_d3 = v_muladd(t3, t3, v_d3); v_d3 = v_muladd(t3, t3, v_d3);
} }