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/*
* Copyright (c) 2023, Alliance for Open Media. All rights reserved.
*
* This source code is subject to the terms of the BSD 2 Clause License and
* the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
* was not distributed with this source code in the LICENSE file, you can
* obtain it at www.aomedia.org/license/software. If the Alliance for Open
* Media Patent License 1.0 was not distributed with this source code in the
* PATENTS file, you can obtain it at www.aomedia.org/license/patent.
*/
#include <arm_neon.h>
#include <assert.h>
#include "aom_dsp/arm/mem_neon.h"
#include "av1/common/convolve.h"
#include "config/aom_config.h"
#include "config/av1_rtcd.h"
#define HBD_WIENER_5TAP_HORIZ(name, shift) \
static inline uint16x8_t name##_wiener_convolve5_8_2d_h( \
const int16x8_t s0, const int16x8_t s1, const int16x8_t s2, \
const int16x8_t s3, const int16x8_t s4, const int16x4_t x_filter, \
const int32x4_t round_vec, const uint16x8_t im_max_val) { \
/* Wiener filter is symmetric so add mirrored source elements. */ \
int16x8_t s04 = vaddq_s16(s0, s4); \
int16x8_t s13 = vaddq_s16(s1, s3); \
\
/* x_filter[0] = 0. (5-tap filters are 0-padded to 7 taps.) */ \
int32x4_t sum_lo = \
vmlal_lane_s16(round_vec, vget_low_s16(s04), x_filter, 1); \
sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), x_filter, 2); \
sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), x_filter, 3); \
\
int32x4_t sum_hi = \
vmlal_lane_s16(round_vec, vget_high_s16(s04), x_filter, 1); \
sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), x_filter, 2); \
sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), x_filter, 3); \
\
uint16x4_t res_lo = vqrshrun_n_s32(sum_lo, shift); \
uint16x4_t res_hi = vqrshrun_n_s32(sum_hi, shift); \
\
return vminq_u16(vcombine_u16(res_lo, res_hi), im_max_val); \
} \
\
static inline void name##_convolve_add_src_5tap_horiz( \
const uint16_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr, \
ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter, \
const int32x4_t round_vec, const uint16x8_t im_max_val) { \
do { \
const int16_t *s = (int16_t *)src_ptr; \
uint16_t *d = dst_ptr; \
int width = w; \
\
do { \
int16x8_t s0, s1, s2, s3, s4; \
load_s16_8x5(s, 1, &s0, &s1, &s2, &s3, &s4); \
\
uint16x8_t d0 = name##_wiener_convolve5_8_2d_h( \
s0, s1, s2, s3, s4, x_filter, round_vec, im_max_val); \
\
vst1q_u16(d, d0); \
\
s += 8; \
d += 8; \
width -= 8; \
} while (width != 0); \
src_ptr += src_stride; \
dst_ptr += dst_stride; \
} while (--h != 0); \
}
HBD_WIENER_5TAP_HORIZ(highbd, WIENER_ROUND0_BITS)
HBD_WIENER_5TAP_HORIZ(highbd_12, WIENER_ROUND0_BITS + 2)
#undef HBD_WIENER_5TAP_HORIZ
#define HBD_WIENER_7TAP_HORIZ(name, shift) \
static inline uint16x8_t name##_wiener_convolve7_8_2d_h( \
const int16x8_t s0, const int16x8_t s1, const int16x8_t s2, \
const int16x8_t s3, const int16x8_t s4, const int16x8_t s5, \
const int16x8_t s6, const int16x4_t x_filter, const int32x4_t round_vec, \
const uint16x8_t im_max_val) { \
/* Wiener filter is symmetric so add mirrored source elements. */ \
int16x8_t s06 = vaddq_s16(s0, s6); \
int16x8_t s15 = vaddq_s16(s1, s5); \
int16x8_t s24 = vaddq_s16(s2, s4); \
\
int32x4_t sum_lo = \
vmlal_lane_s16(round_vec, vget_low_s16(s06), x_filter, 0); \
sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), x_filter, 1); \
sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), x_filter, 2); \
sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), x_filter, 3); \
\
int32x4_t sum_hi = \
vmlal_lane_s16(round_vec, vget_high_s16(s06), x_filter, 0); \
sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), x_filter, 1); \
sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), x_filter, 2); \
sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), x_filter, 3); \
\
uint16x4_t res_lo = vqrshrun_n_s32(sum_lo, shift); \
uint16x4_t res_hi = vqrshrun_n_s32(sum_hi, shift); \
\
return vminq_u16(vcombine_u16(res_lo, res_hi), im_max_val); \
} \
\
static inline void name##_convolve_add_src_7tap_horiz( \
const uint16_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr, \
ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter, \
const int32x4_t round_vec, const uint16x8_t im_max_val) { \
do { \
const int16_t *s = (int16_t *)src_ptr; \
uint16_t *d = dst_ptr; \
int width = w; \
\
do { \
int16x8_t s0, s1, s2, s3, s4, s5, s6; \
load_s16_8x7(s, 1, &s0, &s1, &s2, &s3, &s4, &s5, &s6); \
\
uint16x8_t d0 = name##_wiener_convolve7_8_2d_h( \
s0, s1, s2, s3, s4, s5, s6, x_filter, round_vec, im_max_val); \
\
vst1q_u16(d, d0); \
\
s += 8; \
d += 8; \
width -= 8; \
} while (width != 0); \
src_ptr += src_stride; \
dst_ptr += dst_stride; \
} while (--h != 0); \
}
HBD_WIENER_7TAP_HORIZ(highbd, WIENER_ROUND0_BITS)
HBD_WIENER_7TAP_HORIZ(highbd_12, WIENER_ROUND0_BITS + 2)
#undef HBD_WIENER_7TAP_HORIZ
#define HBD_WIENER_5TAP_VERT(name, shift) \
static inline uint16x8_t name##_wiener_convolve5_8_2d_v( \
const int16x8_t s0, const int16x8_t s1, const int16x8_t s2, \
const int16x8_t s3, const int16x8_t s4, const int16x4_t y_filter, \
const int32x4_t round_vec, const uint16x8_t res_max_val) { \
const int32x2_t y_filter_lo = vget_low_s32(vmovl_s16(y_filter)); \
const int32x2_t y_filter_hi = vget_high_s32(vmovl_s16(y_filter)); \
/* Wiener filter is symmetric so add mirrored source elements. */ \
int32x4_t s04_lo = vaddl_s16(vget_low_s16(s0), vget_low_s16(s4)); \
int32x4_t s13_lo = vaddl_s16(vget_low_s16(s1), vget_low_s16(s3)); \
\
/* y_filter[0] = 0. (5-tap filters are 0-padded to 7 taps.) */ \
int32x4_t sum_lo = vmlaq_lane_s32(round_vec, s04_lo, y_filter_lo, 1); \
sum_lo = vmlaq_lane_s32(sum_lo, s13_lo, y_filter_hi, 0); \
sum_lo = \
vmlaq_lane_s32(sum_lo, vmovl_s16(vget_low_s16(s2)), y_filter_hi, 1); \
\
int32x4_t s04_hi = vaddl_s16(vget_high_s16(s0), vget_high_s16(s4)); \
int32x4_t s13_hi = vaddl_s16(vget_high_s16(s1), vget_high_s16(s3)); \
\
int32x4_t sum_hi = vmlaq_lane_s32(round_vec, s04_hi, y_filter_lo, 1); \
sum_hi = vmlaq_lane_s32(sum_hi, s13_hi, y_filter_hi, 0); \
sum_hi = \
vmlaq_lane_s32(sum_hi, vmovl_s16(vget_high_s16(s2)), y_filter_hi, 1); \
\
uint16x4_t res_lo = vqrshrun_n_s32(sum_lo, shift); \
uint16x4_t res_hi = vqrshrun_n_s32(sum_hi, shift); \
\
return vminq_u16(vcombine_u16(res_lo, res_hi), res_max_val); \
} \
\
static inline void name##_convolve_add_src_5tap_vert( \
const uint16_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr, \
ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter, \
const int32x4_t round_vec, const uint16x8_t res_max_val) { \
do { \
const int16_t *s = (int16_t *)src_ptr; \
uint16_t *d = dst_ptr; \
int height = h; \
\
while (height > 3) { \
int16x8_t s0, s1, s2, s3, s4, s5, s6, s7; \
load_s16_8x8(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7); \
\
uint16x8_t d0 = name##_wiener_convolve5_8_2d_v( \
s0, s1, s2, s3, s4, y_filter, round_vec, res_max_val); \
uint16x8_t d1 = name##_wiener_convolve5_8_2d_v( \
s1, s2, s3, s4, s5, y_filter, round_vec, res_max_val); \
uint16x8_t d2 = name##_wiener_convolve5_8_2d_v( \
s2, s3, s4, s5, s6, y_filter, round_vec, res_max_val); \
uint16x8_t d3 = name##_wiener_convolve5_8_2d_v( \
s3, s4, s5, s6, s7, y_filter, round_vec, res_max_val); \
\
store_u16_8x4(d, dst_stride, d0, d1, d2, d3); \
\
s += 4 * src_stride; \
d += 4 * dst_stride; \
height -= 4; \
} \
\
while (height-- != 0) { \
int16x8_t s0, s1, s2, s3, s4; \
load_s16_8x5(s, src_stride, &s0, &s1, &s2, &s3, &s4); \
\
uint16x8_t d0 = name##_wiener_convolve5_8_2d_v( \
s0, s1, s2, s3, s4, y_filter, round_vec, res_max_val); \
\
vst1q_u16(d, d0); \
\
s += src_stride; \
d += dst_stride; \
} \
\
src_ptr += 8; \
dst_ptr += 8; \
w -= 8; \
} while (w != 0); \
}
HBD_WIENER_5TAP_VERT(highbd, 2 * FILTER_BITS - WIENER_ROUND0_BITS)
HBD_WIENER_5TAP_VERT(highbd_12, 2 * FILTER_BITS - WIENER_ROUND0_BITS - 2)
#undef HBD_WIENER_5TAP_VERT
#define HBD_WIENER_7TAP_VERT(name, shift) \
static inline uint16x8_t name##_wiener_convolve7_8_2d_v( \
const int16x8_t s0, const int16x8_t s1, const int16x8_t s2, \
const int16x8_t s3, const int16x8_t s4, const int16x8_t s5, \
const int16x8_t s6, const int16x4_t y_filter, const int32x4_t round_vec, \
const uint16x8_t res_max_val) { \
const int32x2_t y_filter_lo = vget_low_s32(vmovl_s16(y_filter)); \
const int32x2_t y_filter_hi = vget_high_s32(vmovl_s16(y_filter)); \
/* Wiener filter is symmetric so add mirrored source elements. */ \
int32x4_t s06_lo = vaddl_s16(vget_low_s16(s0), vget_low_s16(s6)); \
int32x4_t s15_lo = vaddl_s16(vget_low_s16(s1), vget_low_s16(s5)); \
int32x4_t s24_lo = vaddl_s16(vget_low_s16(s2), vget_low_s16(s4)); \
\
int32x4_t sum_lo = vmlaq_lane_s32(round_vec, s06_lo, y_filter_lo, 0); \
sum_lo = vmlaq_lane_s32(sum_lo, s15_lo, y_filter_lo, 1); \
sum_lo = vmlaq_lane_s32(sum_lo, s24_lo, y_filter_hi, 0); \
sum_lo = \
vmlaq_lane_s32(sum_lo, vmovl_s16(vget_low_s16(s3)), y_filter_hi, 1); \
\
int32x4_t s06_hi = vaddl_s16(vget_high_s16(s0), vget_high_s16(s6)); \
int32x4_t s15_hi = vaddl_s16(vget_high_s16(s1), vget_high_s16(s5)); \
int32x4_t s24_hi = vaddl_s16(vget_high_s16(s2), vget_high_s16(s4)); \
\
int32x4_t sum_hi = vmlaq_lane_s32(round_vec, s06_hi, y_filter_lo, 0); \
sum_hi = vmlaq_lane_s32(sum_hi, s15_hi, y_filter_lo, 1); \
sum_hi = vmlaq_lane_s32(sum_hi, s24_hi, y_filter_hi, 0); \
sum_hi = \
vmlaq_lane_s32(sum_hi, vmovl_s16(vget_high_s16(s3)), y_filter_hi, 1); \
\
uint16x4_t res_lo = vqrshrun_n_s32(sum_lo, shift); \
uint16x4_t res_hi = vqrshrun_n_s32(sum_hi, shift); \
\
return vminq_u16(vcombine_u16(res_lo, res_hi), res_max_val); \
} \
\
static inline void name##_convolve_add_src_7tap_vert( \
const uint16_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr, \
ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter, \
const int32x4_t round_vec, const uint16x8_t res_max_val) { \
do { \
const int16_t *s = (int16_t *)src_ptr; \
uint16_t *d = dst_ptr; \
int height = h; \
\
while (height > 3) { \
int16x8_t s0, s1, s2, s3, s4, s5, s6, s7, s8, s9; \
load_s16_8x10(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7, \
&s8, &s9); \
\
uint16x8_t d0 = name##_wiener_convolve7_8_2d_v( \
s0, s1, s2, s3, s4, s5, s6, y_filter, round_vec, res_max_val); \
uint16x8_t d1 = name##_wiener_convolve7_8_2d_v( \
s1, s2, s3, s4, s5, s6, s7, y_filter, round_vec, res_max_val); \
uint16x8_t d2 = name##_wiener_convolve7_8_2d_v( \
s2, s3, s4, s5, s6, s7, s8, y_filter, round_vec, res_max_val); \
uint16x8_t d3 = name##_wiener_convolve7_8_2d_v( \
s3, s4, s5, s6, s7, s8, s9, y_filter, round_vec, res_max_val); \
\
store_u16_8x4(d, dst_stride, d0, d1, d2, d3); \
\
s += 4 * src_stride; \
d += 4 * dst_stride; \
height -= 4; \
} \
\
while (height-- != 0) { \
int16x8_t s0, s1, s2, s3, s4, s5, s6; \
load_s16_8x7(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6); \
\
uint16x8_t d0 = name##_wiener_convolve7_8_2d_v( \
s0, s1, s2, s3, s4, s5, s6, y_filter, round_vec, res_max_val); \
\
vst1q_u16(d, d0); \
\
s += src_stride; \
d += dst_stride; \
} \
\
src_ptr += 8; \
dst_ptr += 8; \
w -= 8; \
} while (w != 0); \
}
HBD_WIENER_7TAP_VERT(highbd, 2 * FILTER_BITS - WIENER_ROUND0_BITS)
HBD_WIENER_7TAP_VERT(highbd_12, 2 * FILTER_BITS - WIENER_ROUND0_BITS - 2)
#undef HBD_WIENER_7TAP_VERT
static inline int get_wiener_filter_taps(const int16_t *filter) {
assert(filter[7] == 0);
if (filter[0] == 0 && filter[6] == 0) {
return WIENER_WIN_REDUCED;
}
return WIENER_WIN;
}
void av1_highbd_wiener_convolve_add_src_neon(
const uint8_t *src8, ptrdiff_t src_stride, uint8_t *dst8,
ptrdiff_t dst_stride, const int16_t *x_filter, int x_step_q4,
const int16_t *y_filter, int y_step_q4, int w, int h,
const WienerConvolveParams *conv_params, int bd) {
(void)x_step_q4;
(void)y_step_q4;
assert(w % 8 == 0);
assert(w <= MAX_SB_SIZE && h <= MAX_SB_SIZE);
assert(x_step_q4 == 16 && y_step_q4 == 16);
assert(x_filter[7] == 0 && y_filter[7] == 0);
DECLARE_ALIGNED(16, uint16_t,
im_block[(MAX_SB_SIZE + WIENER_WIN - 1) * MAX_SB_SIZE]);
const int x_filter_taps = get_wiener_filter_taps(x_filter);
const int y_filter_taps = get_wiener_filter_taps(y_filter);
int16x4_t x_filter_s16 = vld1_s16(x_filter);
int16x4_t y_filter_s16 = vld1_s16(y_filter);
// Add 128 to tap 3. (Needed for rounding.)
x_filter_s16 = vadd_s16(x_filter_s16, vcreate_s16(128ULL << 48));
y_filter_s16 = vadd_s16(y_filter_s16, vcreate_s16(128ULL << 48));
const int im_stride = MAX_SB_SIZE;
const int im_h = h + y_filter_taps - 1;
const int horiz_offset = x_filter_taps / 2;
const int vert_offset = (y_filter_taps / 2) * (int)src_stride;
const int extraprec_clamp_limit =
WIENER_CLAMP_LIMIT(conv_params->round_0, bd);
const uint16x8_t im_max_val = vdupq_n_u16(extraprec_clamp_limit - 1);
const int32x4_t horiz_round_vec = vdupq_n_s32(1 << (bd + FILTER_BITS - 1));
const uint16x8_t res_max_val = vdupq_n_u16((1 << bd) - 1);
const int32x4_t vert_round_vec =
vdupq_n_s32(-(1 << (bd + conv_params->round_1 - 1)));
uint16_t *src = CONVERT_TO_SHORTPTR(src8);
uint16_t *dst = CONVERT_TO_SHORTPTR(dst8);
if (bd == 12) {
if (x_filter_taps == WIENER_WIN_REDUCED) {
highbd_12_convolve_add_src_5tap_horiz(
src - horiz_offset - vert_offset, src_stride, im_block, im_stride, w,
im_h, x_filter_s16, horiz_round_vec, im_max_val);
} else {
highbd_12_convolve_add_src_7tap_horiz(
src - horiz_offset - vert_offset, src_stride, im_block, im_stride, w,
im_h, x_filter_s16, horiz_round_vec, im_max_val);
}
if (y_filter_taps == WIENER_WIN_REDUCED) {
highbd_12_convolve_add_src_5tap_vert(im_block, im_stride, dst, dst_stride,
w, h, y_filter_s16, vert_round_vec,
res_max_val);
} else {
highbd_12_convolve_add_src_7tap_vert(im_block, im_stride, dst, dst_stride,
w, h, y_filter_s16, vert_round_vec,
res_max_val);
}
} else {
if (x_filter_taps == WIENER_WIN_REDUCED) {
highbd_convolve_add_src_5tap_horiz(
src - horiz_offset - vert_offset, src_stride, im_block, im_stride, w,
im_h, x_filter_s16, horiz_round_vec, im_max_val);
} else {
highbd_convolve_add_src_7tap_horiz(
src - horiz_offset - vert_offset, src_stride, im_block, im_stride, w,
im_h, x_filter_s16, horiz_round_vec, im_max_val);
}
if (y_filter_taps == WIENER_WIN_REDUCED) {
highbd_convolve_add_src_5tap_vert(im_block, im_stride, dst, dst_stride, w,
h, y_filter_s16, vert_round_vec,
res_max_val);
} else {
highbd_convolve_add_src_7tap_vert(im_block, im_stride, dst, dst_stride, w,
h, y_filter_s16, vert_round_vec,
res_max_val);
}
}
}