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

This commit enabled assembly code with intel AVX512 VNNI and added unit test for sobel filter sobel_c: 4537 sobel_avx512icl 2136

bwang30 committed 4 years ago

Commit 3ab11dc1 parent 2d25f339 files · +362 −78Browse files

Showing the changes to libavfilter/convolution.h (1 of 9 files). Show all

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libavfilter/convolution.h+74−0
@@ -21,6 +21,7 @@ · 20 unmodified lines
21#ifndef AVFILTER_CONVOLUTION_H21#ifndef AVFILTER_CONVOLUTION_H
22#define AVFILTER_CONVOLUTION_H22#define AVFILTER_CONVOLUTION_H
23#include "avfilter.h"23#include "avfilter.h"
24#include "libavutil/intreadwrite.h"
24 25
25enum MatrixMode {26enum MatrixMode {
26 MATRIX_SQUARE,27 MATRIX_SQUARE,
@@ -61,4 +62,77 @@ typedef struct ConvolutionContext { · 34 unmodified lines
61} ConvolutionContext;62} ConvolutionContext;
62 63
63void ff_convolution_init_x86(ConvolutionContext *s);64void ff_convolution_init_x86(ConvolutionContext *s);
65void ff_sobel_init_x86(ConvolutionContext *s, int depth, int nb_planes);
66
67static void setup_3x3(int radius, const uint8_t *c[], const uint8_t *src, int stride,
68 int x, int w, int y, int h, int bpc)
69{
70 int i;
71
72 for (i = 0; i < 9; i++) {
73 int xoff = FFABS(x + ((i % 3) - 1));
74 int yoff = FFABS(y + (i / 3) - 1);
75
76 xoff = xoff >= w ? 2 * w - 1 - xoff : xoff;
77 yoff = yoff >= h ? 2 * h - 1 - yoff : yoff;
78
79 c[i] = src + xoff * bpc + yoff * stride;
80 }
81}
82
83static void filter_sobel(uint8_t *dst, int width,
84 float scale, float delta, const int *const matrix,
85 const uint8_t *c[], int peak, int radius,
86 int dstride, int stride, int size)
87{
88 const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
89 const uint8_t *c3 = c[3], *c5 = c[5];
90 const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8];
91 int x;
92
93 for (x = 0; x < width; x++) {
94 float suma = c0[x] * -1 + c1[x] * -2 + c2[x] * -1 +
95 c6[x] * 1 + c7[x] * 2 + c8[x] * 1;
96 float sumb = c0[x] * -1 + c2[x] * 1 + c3[x] * -2 +
97 c5[x] * 2 + c6[x] * -1 + c8[x] * 1;
98
99 dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta);
100 }
101}
102
103static void filter16_sobel(uint8_t *dstp, int width,
104 float scale, float delta, const int *const matrix,
105 const uint8_t *c[], int peak, int radius,
106 int dstride, int stride, int size)
107{
108 uint16_t *dst = (uint16_t *)dstp;
109 int x;
110
111 for (x = 0; x < width; x++) {
112 float suma = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[1][2 * x]) * -2 + AV_RN16A(&c[2][2 * x]) * -1 +
113 AV_RN16A(&c[6][2 * x]) * 1 + AV_RN16A(&c[7][2 * x]) * 2 + AV_RN16A(&c[8][2 * x]) * 1;
114 float sumb = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -2 +
115 AV_RN16A(&c[5][2 * x]) * 2 + AV_RN16A(&c[6][2 * x]) * -1 + AV_RN16A(&c[8][2 * x]) * 1;
116
117 dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak);
118 }
119}
120
121static av_unused void ff_sobel_init(ConvolutionContext *s, int depth, int nb_planes)
122{
123 for (int i = 0; i < 4; i++) {
124 s->filter[i] = filter_sobel;
125 s->copy[i] = !((1 << i) & s->planes);
126 s->size[i] = 3;
127 s->setup[i] = setup_3x3;
128 s->rdiv[i] = s->scale;
129 s->bias[i] = s->delta;
130 }
131 if (s->depth > 8)
132 for (int i = 0; i < 4; i++)
133 s->filter[i] = filter16_sobel;
134#if ARCH_X86_64
135 ff_sobel_init_x86(s, depth, nb_planes);
136#endif
137}
64#endif138#endif

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