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libavfilter/x86/vf_convolution: add sobel filter optimization and unit test with intel AVX512 VNNI

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This commit enabled assembly code with intel AVX512 VNNI and added unit test for sobel filter

sobel_c: 4537
sobel_avx512icl 2136

Signed-off-by: bwang30 <bin.wang@intel.com>
Signed-off-by: Haihao Xiang <haihao.xiang@intel.com>
This commit is contained in:
bwang30
2022-11-04 16:29:25 +08:00
committed by Haihao Xiang
parent 2d25f33a7e
commit 3ab11dc5bb
9 changed files with 362 additions and 78 deletions
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74
libavfilter/convolution.h
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@@ -21,6 +21,7 @@
#ifndef AVFILTER_CONVOLUTION_H
#define AVFILTER_CONVOLUTION_H
#include "avfilter.h"
#include "libavutil/intreadwrite.h"
enum MatrixMode {
MATRIX_SQUARE,
@@ -61,4 +62,77 @@ typedef struct ConvolutionContext {
} ConvolutionContext;
void ff_convolution_init_x86(ConvolutionContext *s);
void ff_sobel_init_x86(ConvolutionContext *s, int depth, int nb_planes);
static void setup_3x3(int radius, const uint8_t *c[], const uint8_t *src, int stride,
int x, int w, int y, int h, int bpc)
{
int i;
for (i = 0; i < 9; i++) {
int xoff = FFABS(x + ((i % 3) - 1));
int yoff = FFABS(y + (i / 3) - 1);
xoff = xoff >= w ? 2 * w - 1 - xoff : xoff;
yoff = yoff >= h ? 2 * h - 1 - yoff : yoff;
c[i] = src + xoff * bpc + yoff * stride;
}
}
static void filter_sobel(uint8_t *dst, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius,
int dstride, int stride, int size)
{
const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
const uint8_t *c3 = c[3], *c5 = c[5];
const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8];
int x;
for (x = 0; x < width; x++) {
float suma = c0[x] * -1 + c1[x] * -2 + c2[x] * -1 +
c6[x] * 1 + c7[x] * 2 + c8[x] * 1;
float sumb = c0[x] * -1 + c2[x] * 1 + c3[x] * -2 +
c5[x] * 2 + c6[x] * -1 + c8[x] * 1;
dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta);
}
}
static void filter16_sobel(uint8_t *dstp, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius,
int dstride, int stride, int size)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
for (x = 0; x < width; x++) {
float suma = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[1][2 * x]) * -2 + AV_RN16A(&c[2][2 * x]) * -1 +
AV_RN16A(&c[6][2 * x]) * 1 + AV_RN16A(&c[7][2 * x]) * 2 + AV_RN16A(&c[8][2 * x]) * 1;
float sumb = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -2 +
AV_RN16A(&c[5][2 * x]) * 2 + AV_RN16A(&c[6][2 * x]) * -1 + AV_RN16A(&c[8][2 * x]) * 1;
dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak);
}
}
static av_unused void ff_sobel_init(ConvolutionContext *s, int depth, int nb_planes)
{
for (int i = 0; i < 4; i++) {
s->filter[i] = filter_sobel;
s->copy[i] = !((1 << i) & s->planes);
s->size[i] = 3;
s->setup[i] = setup_3x3;
s->rdiv[i] = s->scale;
s->bias[i] = s->delta;
}
if (s->depth > 8)
for (int i = 0; i < 4; i++)
s->filter[i] = filter16_sobel;
#if ARCH_X86_64
ff_sobel_init_x86(s, depth, nb_planes);
#endif
}
#endif