/*
* 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 "config/aom_config.h"
#include "config/av1_rtcd.h"
#include "aom_dsp/aom_dsp_common.h"
#include "aom_dsp/arm/mem_neon.h"
#include "aom_dsp/arm/transpose_neon.h"
#include "aom_ports/mem.h"
#include "av1/common/arm/convolve_neon.h"
#include "av1/common/convolve.h"
#include "av1/common/filter.h"
DECLARE_ALIGNED(
16,
const uint8_t, kDotProdPermuteTbl[
48]) = {
0,
1,
2,
3,
1,
2,
3,
4,
2,
3,
4,
5,
3,
4,
5,
6,
4,
5,
6,
7,
5,
6,
7,
8,
6,
7,
8,
9,
7,
8,
9,
10,
8,
9,
10,
11,
9,
10,
11,
12,
10,
11,
12,
13,
11,
12,
13,
14
};
DECLARE_ALIGNED(
16,
const uint8_t, kDotProdMergeBlockTbl[
48]) = {
// Shift left and insert new last column in transposed 4x4 block.
1,
2,
3,
16,
5,
6,
7,
20,
9,
10,
11,
24,
13,
14,
15,
28,
// Shift left and insert two new columns in transposed 4x4 block.
2,
3,
16,
17,
6,
7,
20,
21,
10,
11,
24,
25,
14,
15,
28,
29,
// Shift left and insert three new columns in transposed 4x4 block.
3,
16,
17,
18,
7,
20,
21,
22,
11,
24,
25,
26,
15,
28,
29,
30
};
static inline int16x4_t convolve12_4_x(uint8x16_t samples,
const int8x16_t filter,
const uint8x16x3_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
// { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 }
int8x16_t perm_samples[
3] = { vqtbl1q_s8(samples_128, permute_tbl.val[
0]),
vqtbl1q_s8(samples_128, permute_tbl.val[
1]),
vqtbl1q_s8(samples_128, permute_tbl.val[
2]) };
// Dot product constants:
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use a single rounding
// right shift by FILTER_BITS - instead of a first rounding right shift by
// ROUND0_BITS, followed by second rounding right shift by FILTER_BITS -
// ROUND0_BITS.
int32x4_t acc =
vdupq_n_s32((
128 << FILTER_BITS) + (
1 << ((ROUND0_BITS -
1))));
int32x4_t sum = vdotq_laneq_s32(acc, perm_samples[
0], filter,
0);
sum = vdotq_laneq_s32(sum, perm_samples[
1], filter,
1);
sum = vdotq_laneq_s32(sum, perm_samples[
2], filter,
2);
return vshrn_n_s32(sum,
1);
}
static inline uint8x8_t convolve12_8_x(uint8x16_t samples[
2],
const int8x16_t filter,
const uint8x16x3_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128[
2] = {
vreinterpretq_s8_u8(vsubq_u8(samples[
0], vdupq_n_u8(
128))),
vreinterpretq_s8_u8(vsubq_u8(samples[
1], vdupq_n_u8(
128)))
};
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
// { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 }
// {12, 13, 14, 15, 13, 14, 15, 16, 14, 15, 16, 17, 15, 16, 17, 18 }
int8x16_t perm_samples[
4] = { vqtbl1q_s8(samples_128[
0], permute_tbl.val[
0]),
vqtbl1q_s8(samples_128[
0], permute_tbl.val[
1]),
vqtbl1q_s8(samples_128[
0], permute_tbl.val[
2]),
vqtbl1q_s8(samples_128[
1],
permute_tbl.val[
2]) };
// Dot product constants:
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use a single rounding
// right shift by FILTER_BITS - instead of a first rounding right shift by
// ROUND0_BITS, followed by second rounding right shift by FILTER_BITS -
// ROUND0_BITS.
int32x4_t acc =
vdupq_n_s32((
128 << FILTER_BITS) + (
1 << ((ROUND0_BITS -
1))));
int32x4_t sum0123 = vdotq_laneq_s32(acc, perm_samples[
0], filter,
0);
sum0123 = vdotq_laneq_s32(sum0123, perm_samples[
1], filter,
1);
sum0123 = vdotq_laneq_s32(sum0123, perm_samples[
2], filter,
2);
int32x4_t sum4567 = vdotq_laneq_s32(acc, perm_samples[
1], filter,
0);
sum4567 = vdotq_laneq_s32(sum4567, perm_samples[
2], filter,
1);
sum4567 = vdotq_laneq_s32(sum4567, perm_samples[
3], filter,
2);
// Narrow and re-pack.
int16x8_t sum_s16 =
vcombine_s16(vshrn_n_s32(sum0123,
1), vshrn_n_s32(sum4567,
1));
return vqrshrun_n_s16(sum_s16, FILTER_BITS -
1);
}
static inline
void convolve_x_sr_12tap_neon_dotprod(
const uint8_t *src, int src_stride, uint8_t *dst, int dst_stride, int w,
int h,
const int16_t *x_filter_ptr) {
// The no-op filter should never be used here.
assert(x_filter_ptr[
5] !=
128);
const int16x8_t filter_0_7 = vld1q_s16(x_filter_ptr);
const int16x4_t filter_8_11 = vld1_s16(x_filter_ptr +
8);
const int16x8_t filter_8_15 = vcombine_s16(filter_8_11, vdup_n_s16(
0));
const int8x16_t filter =
vcombine_s8(vmovn_s16(filter_0_7), vmovn_s16(filter_8_15));
const uint8x16x3_t permute_tbl = vld1q_u8_x3(kDotProdPermuteTbl);
if (w <=
4) {
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(src, src_stride, &s0, &s1, &s2, &s3);
int16x4_t d0 = convolve12_4_x(s0, filter, permute_tbl);
int16x4_t d1 = convolve12_4_x(s1, filter, permute_tbl);
int16x4_t d2 = convolve12_4_x(s2, filter, permute_tbl);
int16x4_t d3 = convolve12_4_x(s3, filter, permute_tbl);
uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(d0, d1), FILTER_BITS -
1);
uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(d2, d3), FILTER_BITS -
1);
store_u8x4_strided_x2(dst +
0 * dst_stride, dst_stride, d01);
store_u8x4_strided_x2(dst +
2 * dst_stride, dst_stride, d23);
dst +=
4 * dst_stride;
src +=
4 * src_stride;
h -=
4;
}
while (h !=
0);
}
else {
do {
const uint8_t *s = src;
uint8_t *d = dst;
int width = w;
do {
uint8x16_t s0[
2], s1[
2], s2[
2], s3[
2];
load_u8_16x4(s, src_stride, &s0[
0], &s1[
>0], &s2[
0], &s3[
0]);
load_u8_16x4(s +
4, src_stride, &s0[
1], &s1[
1], &s2[
1], &s3[
1]);
uint8x8_t d0 = convolve12_8_x(s0, filter, permute_tbl);
uint8x8_t d1 = convolve12_8_x(s1, filter, permute_tbl);
uint8x8_t d2 = convolve12_8_x(s2, filter, permute_tbl);
uint8x8_t d3 = convolve12_8_x(s3, filter, permute_tbl);
store_u8_8x4(d +
0 * dst_stride, dst_stride, d0, d1, d2, d3);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src +=
4 * src_stride;
dst +=
4 * dst_stride;
h -=
4;
}
while (h !=
0);
}
}
static inline int16x4_t convolve4_4_x(
const uint8x16_t samples,
const int8x8_t filters,
const uint8x16_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
int8x16_t perm_samples = vqtbl1q_s8(samples_128, permute_tbl);
// Dot product constants:
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use a single rounding
// right shift by FILTER_BITS - instead of a first rounding right shift by
// ROUND0_BITS, followed by second rounding right shift by FILTER_BITS -
// ROUND0_BITS. Halve the total because we halved the filter values.
int32x4_t acc =
vdupq_n_s32(((
128 << FILTER_BITS) + (
1 << ((ROUND0_BITS -
1)))) /
2);
int32x4_t sum = vdotq_lane_s32(acc, perm_samples, filters,
0);
// Further narrowing and packing is performed by the caller.
return vmovn_s32(sum);
}
static inline uint8x8_t convolve4_8_x(
const uint8x16_t samples,
const int8x8_t filters,
const uint8x16x2_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
int8x16_t perm_samples[
2] = { vqtbl1q_s8(samples_128, permute_tbl.val[
0]),
vqtbl1q_s8(samples_128, permute_tbl.val[
1]) };
// Dot product constants:
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use a single rounding
// right shift by FILTER_BITS - instead of a first rounding right shift by
// ROUND0_BITS, followed by second rounding right shift by FILTER_BITS -
// ROUND0_BITS. Halve the total because we halved the filter values.
int32x4_t acc =
vdupq_n_s32(((
128 << FILTER_BITS) + (
1 << ((ROUND0_BITS -
1)))) /
2);
int32x4_t sum0123 = vdotq_lane_s32(acc, perm_samples[
0], filters,
0);
int32x4_t sum4567 = vdotq_lane_s32(acc, perm_samples[
1], filters,
0);
// Narrow and re-pack.
int16x8_t sum = vcombine_s16(vmovn_s32(sum0123), vmovn_s32(sum4567));
// We halved the filter values so -1 from right shift.
return vqrshrun_n_s16(sum, FILTER_BITS -
1);
}
static inline
void convolve_x_sr_4tap_neon_dotprod(
const uint8_t *src, ptrdiff_t src_stride, uint8_t *dst,
ptrdiff_t dst_stride, int width, int height,
const int16_t *filter_x) {
const int16x4_t x_filter = vld1_s16(filter_x +
2);
// All 4-tap and bilinear filter values are even, so halve them to reduce
// intermediate precision requirements.
const int8x8_t filter = vshrn_n_s16(vcombine_s16(x_filter, vdup_n_s16(
0)),
1);
if (width ==
4) {
const uint8x16_t permute_tbl = vld1q_u8(kDotProdPermuteTbl);
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(src, src_stride, &s0, &s1, &s2, &s3);
int16x4_t t0 = convolve4_4_x(s0, filter, permute_tbl);
int16x4_t t1 = convolve4_4_x(s1, filter, permute_tbl);
int16x4_t t2 = convolve4_4_x(s2, filter, permute_tbl);
int16x4_t t3 = convolve4_4_x(s3, filter, permute_tbl);
// We halved the filter values so -1 from right shift.
uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(t0, t1), FILTER_BITS -
1);
uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(t2, t3), FILTER_BITS -
1);
store_u8x4_strided_x2(dst +
0 * dst_stride, dst_stride, d01);
store_u8x4_strided_x2(dst +
2 * dst_stride, dst_stride, d23);
src +=
4 * src_stride;
dst +=
4 * dst_stride;
height -=
4;
}
while (height !=
0);
}
else {
const uint8x16x2_t permute_tbl = vld1q_u8_x2(kDotProdPermuteTbl);
do {
const uint8_t *s = src;
uint8_t *d = dst;
int w = width;
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3);
uint8x8_t d0 = convolve4_8_x(s0, filter, permute_tbl);
uint8x8_t d1 = convolve4_8_x(s1, filter, permute_tbl);
uint8x8_t d2 = convolve4_8_x(s2, filter, permute_tbl);
uint8x8_t d3 = convolve4_8_x(s3, filter, permute_tbl);
store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
s +=
8;
d +=
8;
w -=
8;
}
while (w !=
0);
src +=
4 * src_stride;
dst +=
4 * dst_stride;
height -=
4;
}
while (height !=
0);
}
}
static inline uint8x8_t convolve8_8_x(uint8x16_t samples,
const int8x8_t filter,
const uint8x16x3_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product. */
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
// { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 }
int8x16_t perm_samples[
3] = { vqtbl1q_s8(samples_128, permute_tbl.val[
0]),
vqtbl1q_s8(samples_128, permute_tbl.val[
1]),
vqtbl1q_s8(samples_128, permute_tbl.val[
2]) };
// Dot product constants:
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use a single rounding
// right shift by FILTER_BITS - instead of a first rounding right shift by
// ROUND0_BITS, followed by second rounding right shift by FILTER_BITS -
// ROUND0_BITS. Halve the total because we halved the filter values.
int32x4_t acc =
vdupq_n_s32(((
128 << FILTER_BITS) + (
1 << ((ROUND0_BITS -
1)))) /
2);
int32x4_t sum0123 = vdotq_lane_s32(acc, perm_samples[
0], filter,
0);
sum0123 = vdotq_lane_s32(sum0123, perm_samples[
1], filter,
1);
int32x4_t sum4567 = vdotq_lane_s32(acc, perm_samples[
1], filter,
0);
sum4567 = vdotq_lane_s32(sum4567, perm_samples[
2], filter,
1);
// Narrow and re-pack.
int16x8_t sum_s16 = vcombine_s16(vmovn_s32(sum0123), vmovn_s32(sum4567));
// We halved the convolution filter values so - 1 from the right shift.
return vqrshrun_n_s16(sum_s16, FILTER_BITS -
1);
}
void av1_convolve_x_sr_neon_dotprod(
const uint8_t *src, int src_stride,
uint8_t *dst, int dst_stride, int w, int h,
const InterpFilterParams *filter_params_x,
const int subpel_x_qn,
ConvolveParams *conv_params) {
if (w ==
2 || h ==
2) {
av1_convolve_x_sr_c(src, src_stride, dst, dst_stride, w, h, filter_params_x,
subpel_x_qn, conv_params);
return;
}
const uint8_t horiz_offset = filter_params_x->taps /
2 -
1;
src -= horiz_offset;
const int16_t *x_filter_ptr = av1_get_interp_filter_subpel_kernel(
filter_params_x, subpel_x_qn & SUBPEL_MASK);
int filter_taps = get_filter_tap(filter_params_x, subpel_x_qn & SUBPEL_MASK);
if (filter_taps >
8) {
convolve_x_sr_12tap_neon_dotprod(src, src_stride, dst, dst_stride, w, h,
x_filter_ptr);
return;
}
if (filter_taps <=
4) {
convolve_x_sr_4tap_neon_dotprod(src +
2, src_stride, dst, dst_stride, w, h,
x_filter_ptr);
return;
}
const int16x8_t x_filter_s16 = vld1q_s16(x_filter_ptr);
const uint8x16x3_t permute_tbl = vld1q_u8_x3(kDotProdPermuteTbl);
// Filter values are even, so halve to reduce intermediate precision reqs.
const int8x8_t x_filter = vshrn_n_s16(x_filter_s16,
1);
do {
int width = w;
const uint8_t *s = src;
uint8_t *d = dst;
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3);
uint8x8_t d0 = convolve8_8_x(s0, x_filter, permute_tbl);
uint8x8_t d1 = convolve8_8_x(s1, x_filter, permute_tbl);
uint8x8_t d2 = convolve8_8_x(s2, x_filter, permute_tbl);
uint8x8_t d3 = convolve8_8_x(s3, x_filter, permute_tbl);
store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src +=
4 * src_stride;
dst +=
4 * dst_stride;
h -=
4;
}
while (h !=
0);
}
static inline int16x4_t convolve12_4_y(
const int8x16_t s0,
const int8x16_t s1,
const int8x16_t s2,
const int8x8_t filters_0_7,
const int8x8_t filters_4_11) {
// The sample range transform and permutation are performed by the caller.
// Accumulate into 128 << FILTER_BITS to account for range transform.
const int32x4_t acc = vdupq_n_s32(
128 << FILTER_BITS);
int32x4_t sum = vdotq_lane_s32(acc, s0, filters_0_7,
0);
sum = vdotq_lane_s32(sum, s1, filters_0_7,
1);
sum = vdotq_lane_s32(sum, s2, filters_4_11,
1);
// Further narrowing and packing is performed by the caller.
return vshrn_n_s32(sum,
1);
}
static inline uint8x8_t convolve12_8_y(
const int8x16_t s0_lo,
const int8x16_t s0_hi,
const int8x16_t s1_lo,
const int8x16_t s1_hi,
const int8x16_t s2_lo,
const int8x16_t s2_hi,
const int8x8_t filters_0_7,
const int8x8_t filters_4_11) {
// The sample range transform and permutation are performed by the caller.
// Accumulate into 128 << FILTER_BITS to account for range transform.
const int32x4_t acc = vdupq_n_s32(
128 << FILTER_BITS);
int32x4_t sum0123 = vdotq_lane_s32(acc, s0_lo, filters_0_7,
0);
sum0123 = vdotq_lane_s32(sum0123, s1_lo, filters_0_7,
1);
sum0123 = vdotq_lane_s32(sum0123, s2_lo, filters_4_11,
1);
int32x4_t sum4567 = vdotq_lane_s32(acc, s0_hi, filters_0_7,
0);
sum4567 = vdotq_lane_s32(sum4567, s1_hi, filters_0_7,
1);
sum4567 = vdotq_lane_s32(sum4567, s2_hi, filters_4_11,
1);
// Narrow and re-pack.
int16x8_t sum =
vcombine_s16(vshrn_n_s32(sum0123,
1), vshrn_n_s32(sum4567,
1));
return vqrshrun_n_s16(sum, FILTER_BITS -
1);
}
static inline
void convolve_y_sr_12tap_neon_dotprod(
const uint8_t *src_ptr, int src_stride, uint8_t *dst_ptr, int dst_stride,
int w, int h,
const int16_t *y_filter_ptr) {
// The no-op filter should never be used here.
assert(y_filter_ptr[
5] !=
128);
const int8x8_t filter_0_7 = vmovn_s16(vld1q_s16(y_filter_ptr));
const int8x8_t filter_4_11 = vmovn_s16(vld1q_s16(y_filter_ptr +
4));
const uint8x16x3_t merge_block_tbl = vld1q_u8_x3(kDotProdMergeBlockTbl);
if (w ==
4) {
uint8x8_t t0, t1, t2, t3, t4, t5, t6, t7, t8, t9, tA;
load_u8_8x11(src_ptr, src_stride, &t0, &t1, &t2, &t3, &t4, &t5, &t6, &t7,
&t8, &t9, &tA);
src_ptr +=
11 * src_stride;
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x8_t s0 = vreinterpret_s8_u8(vsub_u8(t0, vdup_n_u8(
128)));
int8x8_t s1 = vreinterpret_s8_u8(vsub_u8(t1, vdup_n_u8(
128)));
int8x8_t s2 = vreinterpret_s8_u8(vsub_u8(t2, vdup_n_u8(
128)));
int8x8_t s3 = vreinterpret_s8_u8(vsub_u8(t3, vdup_n_u8(
128)));
int8x8_t s4 = vreinterpret_s8_u8(vsub_u8(t4, vdup_n_u8(
128)));
int8x8_t s5 = vreinterpret_s8_u8(vsub_u8(t5, vdup_n_u8(
128)));
int8x8_t s6 = vreinterpret_s8_u8(vsub_u8(t6, vdup_n_u8(
128)));
int8x8_t s7 = vreinterpret_s8_u8(vsub_u8(t7, vdup_n_u8(
128)));
int8x8_t s8 = vreinterpret_s8_u8(vsub_u8(t8, vdup_n_u8(
128)));
int8x8_t s9 = vreinterpret_s8_u8(vsub_u8(t9, vdup_n_u8(
128)));
int8x8_t sA = vreinterpret_s8_u8(vsub_u8(tA, vdup_n_u8(
128)));
int8x16_t s0123, s1234, s2345, s3456, s4567, s5678, s6789, s789A;
transpose_concat_elems_s8_4x4(s0, s1, s2, s3, &s0123);
transpose_concat_elems_s8_4x4(s1, s2, s3, s4, &s1234);
transpose_concat_elems_s8_4x4(s2, s3, s4, s5, &s2345);
transpose_concat_elems_s8_4x4(s3, s4, s5, s6, &s3456);
transpose_concat_elems_s8_4x4(s4, s5, s6, s7, &s4567);
transpose_concat_elems_s8_4x4(s5, s6, s7, s8, &s5678);
transpose_concat_elems_s8_4x4(s6, s7, s8, s9, &s6789);
transpose_concat_elems_s8_4x4(s7, s8, s9, sA, &s789A);
do {
uint8x8_t tB, tC, tD, tE;
load_u8_8x4(src_ptr, src_stride, &tB, &tC, &tD, &tE);
int8x8_t sB = vreinterpret_s8_u8(vsub_u8(tB, vdup_n_u8(
128)));
int8x8_t sC = vreinterpret_s8_u8(vsub_u8(tC, vdup_n_u8(
128)));
int8x8_t sD = vreinterpret_s8_u8(vsub_u8(tD, vdup_n_u8(
128)));
int8x8_t sE = vreinterpret_s8_u8(vsub_u8(tE, vdup_n_u8(
128)));
int8x16_t s89AB, s9ABC, sABCD, sBCDE;
transpose_concat_elems_s8_4x4(sB, sC, sD, sE, &sBCDE);
// Merge new data into block from previous iteration.
int8x16x2_t samples_LUT = { { s789A, sBCDE } };
s89AB = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
0]);
s9ABC = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
1]);
sABCD = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
2]);
int16x4_t d0 =
convolve12_4_y(s0123, s4567, s89AB, filter_0_7, filter_4_11);
int16x4_t d1 =
convolve12_4_y(s1234, s5678, s9ABC, filter_0_7, filter_4_11);
int16x4_t d2 =
convolve12_4_y(s2345, s6789, sABCD, filter_0_7, filter_4_11);
int16x4_t d3 =
convolve12_4_y(s3456, s789A, sBCDE, filter_0_7, filter_4_11);
uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(d0, d1), FILTER_BITS -
1);
uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(d2, d3), FILTER_BITS -
1);
store_u8x4_strided_x2(dst_ptr +
0 * dst_stride, dst_stride, d01);
store_u8x4_strided_x2(dst_ptr +
2 * dst_stride, dst_stride, d23);
// Prepare block for next iteration - re-using as much as possible.
// Shuffle everything up four rows.
s0123 = s4567;
s1234 = s5678;
s2345 = s6789;
s3456 = s789A;
s4567 = s89AB;
s5678 = s9ABC;
s6789 = sABCD;
s789A = sBCDE;
src_ptr +=
4 * src_stride;
dst_ptr +=
4 * dst_stride;
h -=
4;
}
while (h !=
0);
}
else {
do {
int height = h;
const uint8_t *s = src_ptr;
uint8_t *d = dst_ptr;
uint8x8_t t0, t1, t2, t3, t4, t5, t6, t7, t8, t9, tA;
load_u8_8x11(s, src_stride, &t0, &t1, &t2, &t3, &t4, &t5, &t6, &t7, &t8,
&t9, &tA);
s +=
11 * src_stride;
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x8_t s0 = vreinterpret_s8_u8(vsub_u8(t0, vdup_n_u8(
128)));
int8x8_t s1 = vreinterpret_s8_u8(vsub_u8(t1, vdup_n_u8(
128)));
int8x8_t s2 = vreinterpret_s8_u8(vsub_u8(t2, vdup_n_u8(
128)));
int8x8_t s3 = vreinterpret_s8_u8(vsub_u8(t3, vdup_n_u8(
128)));
int8x8_t s4 = vreinterpret_s8_u8(vsub_u8(t4, vdup_n_u8(
128)));
int8x8_t s5 = vreinterpret_s8_u8(vsub_u8(t5, vdup_n_u8(
128)));
int8x8_t s6 = vreinterpret_s8_u8(vsub_u8(t6, vdup_n_u8(
128)));
int8x8_t s7 = vreinterpret_s8_u8(vsub_u8(t7, vdup_n_u8(
128)));
int8x8_t s8 = vreinterpret_s8_u8(vsub_u8(t8, vdup_n_u8(
128)));
int8x8_t s9 = vreinterpret_s8_u8(vsub_u8(t9, vdup_n_u8(
128)));
int8x8_t sA = vreinterpret_s8_u8(vsub_u8(tA, vdup_n_u8(
128)));
// This operation combines a conventional transpose and the sample
// permute (see horizontal case) required before computing the dot
// product.
int8x16_t s0123_lo, s0123_hi, s1234_lo, s1234_hi, s2345_lo, s2345_hi,
s3456_lo, s3456_hi, s4567_lo, s4567_hi, s5678_lo, s5678_hi, s6789_lo,
s6789_hi, s789A_lo, s789A_hi;
transpose_concat_elems_s8_8x4(s0, s1, s2, s3, &s0123_lo, &s0123_hi);
transpose_concat_elems_s8_8x4(s1, s2, s3, s4, &s1234_lo, &s1234_hi);
transpose_concat_elems_s8_8x4(s2, s3, s4, s5, &s2345_lo, &s2345_hi);
transpose_concat_elems_s8_8x4(s3, s4, s5, s6, &s3456_lo, &s3456_hi);
transpose_concat_elems_s8_8x4(s4, s5, s6, s7, &s4567_lo, &s4567_hi);
transpose_concat_elems_s8_8x4(s5, s6, s7, s8, &s5678_lo, &s5678_hi);
transpose_concat_elems_s8_8x4(s6, s7, s8, s9, &s6789_lo, &s6789_hi);
transpose_concat_elems_s8_8x4(s7, s8, s9, sA, &s789A_lo, &s789A_hi);
do {
uint8x8_t tB, tC, tD, tE;
load_u8_8x4(s, src_stride, &tB, &tC, &tD, &tE);
int8x8_t sB = vreinterpret_s8_u8(vsub_u8(tB, vdup_n_u8(
128)));
int8x8_t sC = vreinterpret_s8_u8(vsub_u8(tC, vdup_n_u8(
128)));
int8x8_t sD = vreinterpret_s8_u8(vsub_u8(tD, vdup_n_u8(
128)));
int8x8_t sE = vreinterpret_s8_u8(vsub_u8(tE, vdup_n_u8(
128)));
int8x16_t s89AB_lo, s89AB_hi, s9ABC_lo, s9ABC_hi, sABCD_lo, sABCD_hi,
sBCDE_lo, sBCDE_hi;
transpose_concat_elems_s8_8x4(sB, sC, sD, sE, &sBCDE_lo, &sBCDE_hi);
// Merge new data into block from previous iteration.
int8x16x2_t samples_LUT_lo = { { s789A_lo, sBCDE_lo } };
s89AB_lo = vqtbl2q_s8(samples_LUT_lo, merge_block_tbl.val[
0]);
s9ABC_lo = vqtbl2q_s8(samples_LUT_lo, merge_block_tbl.val[
1]);
sABCD_lo = vqtbl2q_s8(samples_LUT_lo, merge_block_tbl.val[
2]);
int8x16x2_t samples_LUT_hi = { { s789A_hi, sBCDE_hi } };
s89AB_hi = vqtbl2q_s8(samples_LUT_hi, merge_block_tbl.val[
0]);
s9ABC_hi = vqtbl2q_s8(samples_LUT_hi, merge_block_tbl.val[
1]);
sABCD_hi = vqtbl2q_s8(samples_LUT_hi, merge_block_tbl.val[
2]);
uint8x8_t d0 =
convolve12_8_y(s0123_lo, s0123_hi, s4567_lo, s4567_hi, s89AB_lo,
s89AB_hi, filter_0_7, filter_4_11);
uint8x8_t d1 =
convolve12_8_y(s1234_lo, s1234_hi, s5678_lo, s5678_hi, s9ABC_lo,
s9ABC_hi, filter_0_7, filter_4_11);
uint8x8_t d2 =
convolve12_8_y(s2345_lo, s2345_hi, s6789_lo, s6789_hi, sABCD_lo,
sABCD_hi, filter_0_7, filter_4_11);
uint8x8_t d3 =
convolve12_8_y(s3456_lo, s3456_hi, s789A_lo, s789A_hi, sBCDE_lo,
sBCDE_hi, filter_0_7, filter_4_11);
store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
// Prepare block for next iteration - re-using as much as possible.
// Shuffle everything up four rows.
s0123_lo = s4567_lo;
s0123_hi = s4567_hi;
s1234_lo = s5678_lo;
s1234_hi = s5678_hi;
s2345_lo = s6789_lo;
s2345_hi = s6789_hi;
s3456_lo = s789A_lo;
s3456_hi = s789A_hi;
s4567_lo = s89AB_lo;
s4567_hi = s89AB_hi;
s5678_lo = s9ABC_lo;
s5678_hi = s9ABC_hi;
s6789_lo = sABCD_lo;
s6789_hi = sABCD_hi;
s789A_lo = sBCDE_lo;
s789A_hi = sBCDE_hi;
s +=
4 * src_stride;
d +=
4 * dst_stride;
height -=
4;
}
while (height !=
0);
src_ptr +=
8;
dst_ptr +=
8;
w -=
8;
}
while (w !=
0);
}
}
static inline int16x4_t convolve8_4_y(
const int8x16_t s0,
const int8x16_t s1,
const int8x8_t filters) {
// The sample range transform and permutation are performed by the caller.
// Accumulate into 128 << FILTER_BITS to account for range transform.
// (- 1 since we halved the filters.)
const int32x4_t acc = vdupq_n_s32(
128 << (FILTER_BITS -
1));
int32x4_t sum = vdotq_lane_s32(acc, s0, filters,
0);
sum = vdotq_lane_s32(sum, s1, filters,
1);
// Further narrowing and packing is performed by the caller.
return vmovn_s32(sum);
}
static inline uint8x8_t convolve8_8_y(
const int8x16_t s0_lo,
const int8x16_t s0_hi,
const int8x16_t s1_lo,
const int8x16_t s1_hi,
const int8x8_t filters) {
// The sample range transform and permutation are performed by the caller.
// Accumulate into 128 << FILTER_BITS to account for range transform.
// (- 1 since we halved the filters.)
const int32x4_t acc = vdupq_n_s32(
128 << (FILTER_BITS -
1));
int32x4_t sum0123 = vdotq_lane_s32(acc, s0_lo, filters,
0);
sum0123 = vdotq_lane_s32(sum0123, s1_lo, filters,
1);
int32x4_t sum4567 = vdotq_lane_s32(acc, s0_hi, filters,
0);
sum4567 = vdotq_lane_s32(sum4567, s1_hi, filters,
1);
// Narrow and re-pack.
int16x8_t sum = vcombine_s16(vmovn_s32(sum0123), vmovn_s32(sum4567));
// We halved the filter values so -1 from right shift.
return vqrshrun_n_s16(sum, FILTER_BITS -
1);
}
static inline
void convolve_y_sr_8tap_neon_dotprod(
const uint8_t *src_ptr, int src_stride, uint8_t *dst_ptr, int dst_stride,
int w, int h,
const int16_t *y_filter_ptr) {
// Filter values are even, so halve to reduce intermediate precision reqs.
const int8x8_t filter = vshrn_n_s16(vld1q_s16(y_filter_ptr),
1);
const uint8x16x3_t merge_block_tbl = vld1q_u8_x3(kDotProdMergeBlockTbl);
if (w ==
4) {
uint8x8_t t0, t1, t2, t3, t4, t5, t6;
load_u8_8x7(src_ptr, src_stride, &t0, &t1, &t2, &t3, &t4, &t5, &t6);
src_ptr +=
7 * src_stride;
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x8_t s0 = vreinterpret_s8_u8(vsub_u8(t0, vdup_n_u8(
128)));
int8x8_t s1 = vreinterpret_s8_u8(vsub_u8(t1, vdup_n_u8(
128)));
int8x8_t s2 = vreinterpret_s8_u8(vsub_u8(t2, vdup_n_u8(
128)));
int8x8_t s3 = vreinterpret_s8_u8(vsub_u8(t3, vdup_n_u8(
128)));
int8x8_t s4 = vreinterpret_s8_u8(vsub_u8(t4, vdup_n_u8(
128)));
int8x8_t s5 = vreinterpret_s8_u8(vsub_u8(t5, vdup_n_u8(
128)));
int8x8_t s6 = vreinterpret_s8_u8(vsub_u8(t6, vdup_n_u8(
128)));
int8x16_t s0123, s1234, s2345, s3456;
transpose_concat_elems_s8_4x4(s0, s1, s2, s3, &s0123);
transpose_concat_elems_s8_4x4(s1, s2, s3, s4, &s1234);
transpose_concat_elems_s8_4x4(s2, s3, s4, s5, &s2345);
transpose_concat_elems_s8_4x4(s3, s4, s5, s6, &s3456);
do {
uint8x8_t t7, t8, t9, tA;
load_u8_8x4(src_ptr, src_stride, &t7, &t8, &t9, &tA);
int8x8_t s7 = vreinterpret_s8_u8(vsub_u8(t7, vdup_n_u8(
128)));
int8x8_t s8 = vreinterpret_s8_u8(vsub_u8(t8, vdup_n_u8(
128)));
int8x8_t s9 = vreinterpret_s8_u8(vsub_u8(t9, vdup_n_u8(
128)));
int8x8_t sA = vreinterpret_s8_u8(vsub_u8(tA, vdup_n_u8(
128)));
int8x16_t s4567, s5678, s6789, s789A;
transpose_concat_elems_s8_4x4(s7, s8, s9, sA, &s789A);
// Merge new data into block from previous iteration.
int8x16x2_t samples_LUT = { { s3456, s789A } };
s4567 = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
0]);
s5678 = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
1]);
s6789 = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
2]);
int16x4_t d0 = convolve8_4_y(s0123, s4567, filter);
int16x4_t d1 = convolve8_4_y(s1234, s5678, filter);
int16x4_t d2 = convolve8_4_y(s2345, s6789, filter);
int16x4_t d3 = convolve8_4_y(s3456, s789A, filter);
// We halved the filter values so -1 from right shift.
uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(d0, d1), FILTER_BITS -
1);
uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(d2, d3), FILTER_BITS -
1);
store_u8x4_strided_x2(dst_ptr +
0 * dst_stride, dst_stride, d01);
store_u8x4_strided_x2(dst_ptr +
2 * dst_stride, dst_stride, d23);
// Prepare block for next iteration - re-using as much as possible.
// Shuffle everything up four rows.
s0123 = s4567;
s1234 = s5678;
s2345 = s6789;
s3456 = s789A;
src_ptr +=
4 * src_stride;
dst_ptr +=
4 * dst_stride;
h -=
4;
}
while (h !=
0);
}
else {
do {
int height = h;
const uint8_t *s = src_ptr;
uint8_t *d = dst_ptr;
uint8x8_t t0, t1, t2, t3, t4, t5, t6;
load_u8_8x7(s, src_stride, &t0, &t1, &t2, &t3, &t4, &t5, &t6);
s +=
7 * src_stride;
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x8_t s0 = vreinterpret_s8_u8(vsub_u8(t0, vdup_n_u8(
128)));
int8x8_t s1 = vreinterpret_s8_u8(vsub_u8(t1, vdup_n_u8(
128)));
int8x8_t s2 = vreinterpret_s8_u8(vsub_u8(t2, vdup_n_u8(
128)));
int8x8_t s3 = vreinterpret_s8_u8(vsub_u8(t3, vdup_n_u8(
128)));
int8x8_t s4 = vreinterpret_s8_u8(vsub_u8(t4, vdup_n_u8(
128)));
int8x8_t s5 = vreinterpret_s8_u8(vsub_u8(t5, vdup_n_u8(
128)));
int8x8_t s6 = vreinterpret_s8_u8(vsub_u8(t6, vdup_n_u8(
128)));
// This operation combines a conventional transpose and the sample
// permute (see horizontal case) required before computing the dot
// product.
int8x16_t s0123_lo, s0123_hi, s1234_lo, s1234_hi, s2345_lo, s2345_hi,
s3456_lo, s3456_hi;
transpose_concat_elems_s8_8x4(s0, s1, s2, s3, &s0123_lo, &s0123_hi);
transpose_concat_elems_s8_8x4(s1, s2, s3, s4, &s1234_lo, &s1234_hi);
transpose_concat_elems_s8_8x4(s2, s3, s4, s5, &s2345_lo, &s2345_hi);
transpose_concat_elems_s8_8x4(s3, s4, s5, s6, &s3456_lo, &s3456_hi);
do {
uint8x8_t t7, t8, t9, tA;
load_u8_8x4(s, src_stride, &t7, &t8, &t9, &tA);
int8x8_t s7 = vreinterpret_s8_u8(vsub_u8(t7, vdup_n_u8(
128)));
int8x8_t s8 = vreinterpret_s8_u8(vsub_u8(t8, vdup_n_u8(
128)));
int8x8_t s9 = vreinterpret_s8_u8(vsub_u8(t9, vdup_n_u8(
128)));
int8x8_t sA = vreinterpret_s8_u8(vsub_u8(tA, vdup_n_u8(
128)));
int8x16_t s4567_lo, s4567_hi, s5678_lo, s5678_hi, s6789_lo, s6789_hi,
s789A_lo, s789A_hi;
transpose_concat_elems_s8_8x4(s7, s8, s9, sA, &s789A_lo, &s789A_hi);
// Merge new data into block from previous iteration.
int8x16x2_t samples_LUT_lo = { { s3456_lo, s789A_lo } };
s4567_lo = vqtbl2q_s8(samples_LUT_lo, merge_block_tbl.val[
0]);
s5678_lo = vqtbl2q_s8(samples_LUT_lo, merge_block_tbl.val[
1]);
s6789_lo = vqtbl2q_s8(samples_LUT_lo, merge_block_tbl.val[
2]);
int8x16x2_t samples_LUT_hi = { { s3456_hi, s789A_hi } };
s4567_hi = vqtbl2q_s8(samples_LUT_hi, merge_block_tbl.val[
0]);
s5678_hi = vqtbl2q_s8(samples_LUT_hi, merge_block_tbl.val[
1]);
s6789_hi = vqtbl2q_s8(samples_LUT_hi, merge_block_tbl.val[
2]);
uint8x8_t d0 =
convolve8_8_y(s0123_lo, s0123_hi, s4567_lo, s4567_hi, filter);
uint8x8_t d1 =
convolve8_8_y(s1234_lo, s1234_hi, s5678_lo, s5678_hi, filter);
uint8x8_t d2 =
convolve8_8_y(s2345_lo, s2345_hi, s6789_lo, s6789_hi, filter);
uint8x8_t d3 =
convolve8_8_y(s3456_lo, s3456_hi, s789A_lo, s789A_hi, filter);
store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
// Prepare block for next iteration - re-using as much as possible.
// Shuffle everything up four rows.
s0123_lo = s4567_lo;
s0123_hi = s4567_hi;
s1234_lo = s5678_lo;
s1234_hi = s5678_hi;
s2345_lo = s6789_lo;
s2345_hi = s6789_hi;
s3456_lo = s789A_lo;
s3456_hi = s789A_hi;
s +=
4 * src_stride;
d +=
4 * dst_stride;
height -=
4;
}
while (height !=
0);
src_ptr +=
8;
dst_ptr +=
8;
w -=
8;
}
while (w !=
0);
}
}
static inline int16x4_t convolve4_4_y(
const int8x16_t s0,
const int8x8_t filters) {
// The sample range transform and permutation are performed by the caller.
// Accumulate into 128 << FILTER_BITS to account for range transform.
// (- 1 since we halved the filters.)
const int32x4_t acc = vdupq_n_s32(
128 << (FILTER_BITS -
1));
int32x4_t sum = vdotq_lane_s32(acc, s0, filters,
0);
// Further narrowing and packing is performed by the caller.
return vmovn_s32(sum);
}
static inline uint8x8_t convolve4_8_y(
const int8x16_t s0,
const int8x16_t s1,
const int8x8_t filters) {
// The sample range transform and permutation are performed by the caller.
// Accumulate into 128 << FILTER_BITS to account for range transform.
// (- 1 since we halved the filters.)
const int32x4_t acc = vdupq_n_s32(
128 << (FILTER_BITS -
1));
int32x4_t sum0123 = vdotq_lane_s32(acc, s0, filters,
0);
int32x4_t sum4567 = vdotq_lane_s32(acc, s1, filters,
0);
// Narrow and re-pack.
int16x8_t sum = vcombine_s16(vmovn_s32(sum0123), vmovn_s32(sum4567));
// We halved the filter values so -1 from right shift.
return vqrshrun_n_s16(sum, FILTER_BITS -
1);
}
static inline
void convolve_y_sr_4tap_neon_dotprod(
const uint8_t *src_ptr, int src_stride, uint8_t *dst_ptr, int dst_stride,
int w, int h,
const int16_t *y_filter_ptr) {
// Filter values are even, so halve to reduce intermediate precision reqs.
const int16x8_t filter_s16 =
vcombine_s16(vld1_s16(y_filter_ptr +
2), vdup_n_s16(
0));
const int8x8_t filter = vshrn_n_s16(filter_s16,
1);
const uint8x16x3_t merge_block_tbl = vld1q_u8_x3(kDotProdMergeBlockTbl);
int8x16x2_t samples_LUT;
if (w ==
4) {
uint8x8_t t0, t1, t2, t3;
load_u8_8x4(src_ptr, src_stride, &t0, &t1, &t2, &t3);
src_ptr +=
4 * src_stride;
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x8_t s0 = vreinterpret_s8_u8(vsub_u8(t0, vdup_n_u8(
128)));
int8x8_t s1 = vreinterpret_s8_u8(vsub_u8(t1, vdup_n_u8(
128)));
int8x8_t s2 = vreinterpret_s8_u8(vsub_u8(t2, vdup_n_u8(
128)));
int8x8_t s3 = vreinterpret_s8_u8(vsub_u8(t3, vdup_n_u8(
128)));
// This operation combines a conventional transpose and the sample permute
// required before computing the dot product.
int8x16_t s0123;
transpose_concat_elems_s8_4x4(s0, s1, s2, s3, &s0123);
do {
uint8x8_t t4, t5, t6, t7;
load_u8_8x4(src_ptr, src_stride, &t4, &t5, &t6, &t7);
int8x8_t s4 = vreinterpret_s8_u8(vsub_u8(t4, vdup_n_u8(
128)));
int8x8_t s5 = vreinterpret_s8_u8(vsub_u8(t5, vdup_n_u8(
128)));
int8x8_t s6 = vreinterpret_s8_u8(vsub_u8(t6, vdup_n_u8(
128)));
int8x8_t s7 = vreinterpret_s8_u8(vsub_u8(t7, vdup_n_u8(
128)));
int8x16_t s4567;
transpose_concat_elems_s8_4x4(s4, s5, s6, s7, &s4567);
// Merge new data into block from previous iteration.
samples_LUT.val[
0] = s0123;
samples_LUT.val[
1] = s4567;
int8x16_t s1234 = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
0]);
int8x16_t s2345 = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
1]);
int8x16_t s3456 = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
2]);
int16x4_t d0 = convolve4_4_y(s0123, filter);
int16x4_t d1 = convolve4_4_y(s1234, filter);
int16x4_t d2 = convolve4_4_y(s2345, filter);
int16x4_t d3 = convolve4_4_y(s3456, filter);
// We halved the filter values so -1 from right shift.
uint8x8_t d01 = vqrshrun_n_s16(vcombine_s16(d0, d1), FILTER_BITS -
1);
uint8x8_t d23 = vqrshrun_n_s16(vcombine_s16(d2, d3), FILTER_BITS -
1);
store_u8x4_strided_x2(dst_ptr +
0 * dst_stride, dst_stride, d01);
store_u8x4_strided_x2(dst_ptr +
2 * dst_stride, dst_stride, d23);
// Prepare block for next iteration - re-using as much as possible.
// Shuffle everything up four rows.
s0123 = s4567;
src_ptr +=
4 * src_stride;
dst_ptr +=
4 * dst_stride;
h -=
4;
}
while (h !=
0);
}
else {
do {
int height = h;
const uint8_t *s = src_ptr;
uint8_t *d = dst_ptr;
uint8x8_t t0, t1, t2, t3;
load_u8_8x4(s, src_stride, &t0, &t1, &t2, &t3);
s +=
4 * src_stride;
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x8_t s0 = vreinterpret_s8_u8(vsub_u8(t0, vdup_n_u8(
128)));
int8x8_t s1 = vreinterpret_s8_u8(vsub_u8(t1, vdup_n_u8(
128)));
int8x8_t s2 = vreinterpret_s8_u8(vsub_u8(t2, vdup_n_u8(
128)));
int8x8_t s3 = vreinterpret_s8_u8(vsub_u8(t3, vdup_n_u8(
128)));
// This operation combines a conventional transpose and the sample permute
// required before computing the dot product.
int8x16_t s0123_lo, s0123_hi;
transpose_concat_elems_s8_8x4(s0, s1, s2, s3, &s0123_lo, &s0123_hi);
do {
uint8x8_t t4, t5, t6, t7;
load_u8_8x4(s, src_stride, &t4, &t5, &t6, &t7);
int8x8_t s4 = vreinterpret_s8_u8(vsub_u8(t4, vdup_n_u8(
128)));
int8x8_t s5 = vreinterpret_s8_u8(vsub_u8(t5, vdup_n_u8(
128)));
int8x8_t s6 = vreinterpret_s8_u8(vsub_u8(t6, vdup_n_u8(
128)));
int8x8_t s7 = vreinterpret_s8_u8(vsub_u8(t7, vdup_n_u8(
128)));
int8x16_t s4567_lo, s4567_hi;
transpose_concat_elems_s8_8x4(s4, s5, s6, s7, &s4567_lo, &s4567_hi);
// Merge new data into block from previous iteration.
samples_LUT.val[
0] = s0123_lo;
samples_LUT.val[
1] = s4567_lo;
int8x16_t s1234_lo = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
0]);
int8x16_t s2345_lo = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
1]);
int8x16_t s3456_lo = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
2]);
samples_LUT.val[
0] = s0123_hi;
samples_LUT.val[
1] = s4567_hi;
int8x16_t s1234_hi = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
0]);
int8x16_t s2345_hi = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
1]);
int8x16_t s3456_hi = vqtbl2q_s8(samples_LUT, merge_block_tbl.val[
2]);
uint8x8_t d0 = convolve4_8_y(s0123_lo, s0123_hi, filter);
uint8x8_t d1 = convolve4_8_y(s1234_lo, s1234_hi, filter);
uint8x8_t d2 = convolve4_8_y(s2345_lo, s2345_hi, filter);
uint8x8_t d3 = convolve4_8_y(s3456_lo, s3456_hi, filter);
store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
// Prepare block for next iteration - re-using as much as possible.
// Shuffle everything up four rows.
s0123_lo = s4567_lo;
s0123_hi = s4567_hi;
s +=
4 * src_stride;
d +=
4 * dst_stride;
height -=
4;
}
while (height !=
0);
src_ptr +=
8;
dst_ptr +=
8;
w -=
8;
}
while (w !=
0);
}
}
void av1_convolve_y_sr_neon_dotprod(
const uint8_t *src, int src_stride,
uint8_t *dst, int dst_stride, int w, int h,
const InterpFilterParams *filter_params_y,
const int subpel_y_qn) {
if (w ==
2 || h ==
2) {
av1_convolve_y_sr_c(src, src_stride, dst, dst_stride, w, h, filter_params_y,
subpel_y_qn);
return;
}
const int y_filter_taps = get_filter_tap(filter_params_y, subpel_y_qn);
const int16_t *y_filter_ptr = av1_get_interp_filter_subpel_kernel(
filter_params_y, subpel_y_qn & SUBPEL_MASK);
if (y_filter_taps <=
4) {
convolve_y_sr_4tap_neon_dotprod(src - src_stride, src_stride, dst,
dst_stride, w, h, y_filter_ptr);
}
else if (y_filter_taps ==
12) {
convolve_y_sr_12tap_neon_dotprod(src -
5 * src_stride, src_stride, dst,
dst_stride, w, h, y_filter_ptr);
}
else {
// 6-tap or 8-tap.
convolve_y_sr_8tap_neon_dotprod(src -
3 * src_stride, src_stride, dst,
dst_stride, w, h, y_filter_ptr);
}
}
static inline int16x4_t convolve12_4_2d_h(uint8x16_t samples,
const int8x16_t filters,
const int32x4_t horiz_const,
const uint8x16x3_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
// { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 }
int8x16_t perm_samples[
3] = { vqtbl1q_s8(samples_128, permute_tbl.val[
0]),
vqtbl1q_s8(samples_128, permute_tbl.val[
1]),
vqtbl1q_s8(samples_128, permute_tbl.val[
2]) };
// Accumulate dot product into 'correction' to account for range transform.
int32x4_t sum = vdotq_laneq_s32(horiz_const, perm_samples[
0], filters,
0);
sum = vdotq_laneq_s32(sum, perm_samples[
1], filters,
1);
sum = vdotq_laneq_s32(sum, perm_samples[
2], filters,
2);
// Narrow and re-pack.
return vshrn_n_s32(sum, ROUND0_BITS);
}
static inline int16x8_t convolve12_8_2d_h(uint8x16_t samples[
2],
const int8x16_t filters,
const int32x4_t correction,
const uint8x16x3_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128[
2] = {
vreinterpretq_s8_u8(vsubq_u8(samples[
0], vdupq_n_u8(
128))),
vreinterpretq_s8_u8(vsubq_u8(samples[
1], vdupq_n_u8(
128)))
};
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
// { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 }
// {12, 13, 14, 15, 13, 14, 15, 16, 14, 15, 16, 17, 15, 16, 17, 18 }
int8x16_t perm_samples[
4] = { vqtbl1q_s8(samples_128[
0], permute_tbl.val[
0]),
vqtbl1q_s8(samples_128[
0], permute_tbl.val[
1]),
vqtbl1q_s8(samples_128[
0], permute_tbl.val[
2]),
vqtbl1q_s8(samples_128[
1],
permute_tbl.val[
2]) };
// Accumulate dot product into 'correction' to account for range transform.
int32x4_t sum0123 = vdotq_laneq_s32(correction, perm_samples[
0], filters,
0);
sum0123 = vdotq_laneq_s32(sum0123, perm_samples[
1], filters,
1);
sum0123 = vdotq_laneq_s32(sum0123, perm_samples[
2], filters,
2);
int32x4_t sum4567 = vdotq_laneq_s32(correction, perm_samples[
1], filters,
0);
sum4567 = vdotq_laneq_s32(sum4567, perm_samples[
2], filters,
1);
sum4567 = vdotq_laneq_s32(sum4567, perm_samples[
3], filters,
2);
// Narrow and re-pack.
return vcombine_s16(vshrn_n_s32(sum0123, ROUND0_BITS),
vshrn_n_s32(sum4567, ROUND0_BITS));
}
static inline
void convolve_2d_sr_horiz_12tap_neon_dotprod(
const uint8_t *src_ptr, int src_stride, int16_t *dst_ptr,
const int dst_stride, int w, int h,
const int16x8_t x_filter_0_7,
const int16x4_t x_filter_8_11) {
// The no-op filter should never be used here.
assert(vgetq_lane_s16(x_filter_0_7,
5) !=
128);
const int bd =
8;
// Narrow filter values to 8-bit.
const int16x8x2_t x_filter_s16 = {
{ x_filter_0_7, vcombine_s16(x_filter_8_11, vdup_n_s16(
0)) }
};
const int8x16_t x_filter = vcombine_s8(vmovn_s16(x_filter_s16.val[
0]),
vmovn_s16(x_filter_s16.val[
1]));
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use non-rounding
// shifts - which are generally faster than rounding shifts on modern CPUs.
const int32_t horiz_const =
((
1 << (bd + FILTER_BITS -
1)) + (
1 << (ROUND0_BITS -
1)));
// Dot product constants.
const int32x4_t correction = vdupq_n_s32((
128 << FILTER_BITS) + horiz_const);
const uint8x16x3_t permute_tbl = vld1q_u8_x3(kDotProdPermuteTbl);
if (w <=
4) {
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(src_ptr, src_stride, &s0, &s1, &s2, &s3);
int16x4_t d0 = convolve12_4_2d_h(s0, x_filter, correction, permute_tbl);
int16x4_t d1 = convolve12_4_2d_h(s1, x_filter, correction, permute_tbl);
int16x4_t d2 = convolve12_4_2d_h(s2, x_filter, correction, permute_tbl);
int16x4_t d3 = convolve12_4_2d_h(s3, x_filter, correction, permute_tbl);
store_s16_4x4(dst_ptr, dst_stride, d0, d1, d2, d3);
src_ptr +=
4 * src_stride;
dst_ptr +=
4 * dst_stride;
h -=
4;
}
while (h >
4);
do {
uint8x16_t s0 = vld1q_u8(src_ptr);
int16x4_t d0 = convolve12_4_2d_h(s0, x_filter, correction, permute_tbl);
vst1_s16(dst_ptr, d0);
src_ptr += src_stride;
dst_ptr += dst_stride;
}
while (--h !=
0);
}
else {
do {
const uint8_t *s = src_ptr;
int16_t *d = dst_ptr;
int width = w;
do {
uint8x16_t s0[
2], s1[
2], s2[
2], s3[
2];
load_u8_16x4(s, src_stride, &s0[
0], &s1[
>0], &s2[
0], &s3[
0]);
load_u8_16x4(s +
4, src_stride, &s0[
1], &s1[
1], &s2[
1], &s3[
1]);
int16x8_t d0 = convolve12_8_2d_h(s0, x_filter, correction, permute_tbl);
int16x8_t d1 = convolve12_8_2d_h(s1, x_filter, correction, permute_tbl);
int16x8_t d2 = convolve12_8_2d_h(s2, x_filter, correction, permute_tbl);
int16x8_t d3 = convolve12_8_2d_h(s3, x_filter, correction, permute_tbl);
store_s16_8x4(d, dst_stride, d0, d1, d2, d3);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src_ptr +=
4 * src_stride;
dst_ptr +=
4 * dst_stride;
h -=
4;
}
while (h >
4);
do {
const uint8_t *s = src_ptr;
int16_t *d = dst_ptr;
int width = w;
do {
uint8x16_t s0[
2];
s0[
0] = vld1q_u8(s);
s0[
1] = vld1q_u8(s +
4);
int16x8_t d0 = convolve12_8_2d_h(s0, x_filter, correction, permute_tbl);
vst1q_s16(d, d0);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src_ptr += src_stride;
dst_ptr += dst_stride;
}
while (--h !=
0);
}
}
static inline int16x4_t convolve4_4_2d_h(
const uint8x16_t samples,
const int8x8_t filters,
const uint8x16_t permute_tbl,
const int32x4_t correction) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
int8x16_t perm_samples = vqtbl1q_s8(samples_128, permute_tbl);
// Accumulate into 'correction' to account for range transform.
int32x4_t sum = vdotq_lane_s32(correction, perm_samples, filters,
0);
// We halved the convolution filter values so -1 from the right shift.
return vshrn_n_s32(sum, ROUND0_BITS -
1);
}
static inline int16x8_t convolve4_8_2d_h(
const uint8x16_t samples,
const int8x8_t filters,
const uint8x16x2_t permute_tbl,
const int32x4_t correction) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
int8x16_t perm_samples[
2] = { vqtbl1q_s8(samples_128, permute_tbl.val[
0]),
vqtbl1q_s8(samples_128, permute_tbl.val[
1]) };
// Accumulate into 'correction' to account for range transform.
int32x4_t sum0123 = vdotq_lane_s32(correction, perm_samples[
0], filters,
0);
int32x4_t sum4567 = vdotq_lane_s32(correction, perm_samples[
1], filters,
0);
// Narrow and re-pack.
// We halved the filter values so -1 from right shift.
return vcombine_s16(vshrn_n_s32(sum0123, ROUND0_BITS -
1),
vshrn_n_s32(sum4567, ROUND0_BITS -
1));
}
static inline
void convolve_2d_sr_horiz_4tap_neon_dotprod(
const uint8_t *src, ptrdiff_t src_stride, int16_t *dst,
ptrdiff_t dst_stride, int w, int h,
const int16_t *filter_x) {
const int bd =
8;
const int16x4_t x_filter = vld1_s16(filter_x +
2);
// All 4-tap and bilinear filter values are even, so halve them to reduce
// intermediate precision requirements.
const int8x8_t filter = vshrn_n_s16(vcombine_s16(x_filter, vdup_n_s16(
0)),
1);
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use non-rounding
// shifts - which are generally faster than rounding shifts on modern CPUs.
const int32_t horiz_const =
((
1 << (bd + FILTER_BITS -
1)) + (
1 << (ROUND0_BITS -
1)));
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Halve the total because we halved the filter values.
const int32x4_t correction =
vdupq_n_s32(((
128 << FILTER_BITS) + horiz_const) /
2);
if (w ==
4) {
const uint8x16_t permute_tbl = vld1q_u8(kDotProdPermuteTbl);
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(src, src_stride, &s0, &s1, &s2, &s3);
int16x4_t d0 = convolve4_4_2d_h(s0, filter, permute_tbl, correction);
int16x4_t d1 = convolve4_4_2d_h(s1, filter, permute_tbl, correction);
int16x4_t d2 = convolve4_4_2d_h(s2, filter, permute_tbl, correction);
int16x4_t d3 = convolve4_4_2d_h(s3, filter, permute_tbl, correction);
store_s16_4x4(dst, dst_stride, d0, d1, d2, d3);
src +=
4 * src_stride;
dst +=
4 * dst_stride;
h -=
4;
}
while (h >
4);
do {
uint8x16_t s0 = vld1q_u8(src);
int16x4_t d0 = convolve4_4_2d_h(s0, filter, permute_tbl, correction);
vst1_s16(dst, d0);
src += src_stride;
dst += dst_stride;
}
while (--h !=
0);
}
else {
const uint8x16x2_t permute_tbl = vld1q_u8_x2(kDotProdPermuteTbl);
do {
const uint8_t *s = src;
int16_t *d = dst;
int width = w;
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3);
int16x8_t d0 = convolve4_8_2d_h(s0, filter, permute_tbl, correction);
int16x8_t d1 = convolve4_8_2d_h(s1, filter, permute_tbl, correction);
int16x8_t d2 = convolve4_8_2d_h(s2, filter, permute_tbl, correction);
int16x8_t d3 = convolve4_8_2d_h(s3, filter, permute_tbl, correction);
store_s16_8x4(d, dst_stride, d0, d1, d2, d3);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src +=
4 * src_stride;
dst +=
4 * dst_stride;
h -=
4;
}
while (h >
4);
do {
const uint8_t *s = src;
int16_t *d = dst;
int width = w;
do {
uint8x16_t s0 = vld1q_u8(s);
int16x8_t d0 = convolve4_8_2d_h(s0, filter, permute_tbl, correction);
vst1q_s16(d, d0);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src += src_stride;
dst += dst_stride;
}
while (--h !=
0);
}
}
static inline int16x8_t convolve8_8_2d_h(uint8x16_t samples,
const int8x8_t filters,
const int32x4_t correction,
const uint8x16x3_t permute_tbl) {
// Transform sample range to [-128, 127] for 8-bit signed dot product.
int8x16_t samples_128 =
vreinterpretq_s8_u8(vsubq_u8(samples, vdupq_n_u8(
128)));
// Permute samples ready for dot product.
// { 0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6 }
// { 4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10 }
// { 8, 9, 10, 11, 9, 10, 11, 12, 10, 11, 12, 13, 11, 12, 13, 14 }
int8x16_t perm_samples[
3] = { vqtbl1q_s8(samples_128, permute_tbl.val[
0]),
vqtbl1q_s8(samples_128, permute_tbl.val[
1]),
vqtbl1q_s8(samples_128, permute_tbl.val[
2]) };
// Accumulate dot product into 'correction' to account for range transform.
int32x4_t sum0123 = vdotq_lane_s32(correction, perm_samples[
0], filters,
0);
sum0123 = vdotq_lane_s32(sum0123, perm_samples[
1], filters,
1);
int32x4_t sum4567 = vdotq_lane_s32(correction, perm_samples[
1], filters,
0);
sum4567 = vdotq_lane_s32(sum4567, perm_samples[
2], filters,
1);
// Narrow and re-pack.
// We halved the convolution filter values so -1 from the right shift.
return vcombine_s16(vshrn_n_s32(sum0123, ROUND0_BITS -
1),
vshrn_n_s32(sum4567, ROUND0_BITS -
1));
}
static inline
void convolve_2d_sr_horiz_8tap_neon_dotprod(
const uint8_t *src, int src_stride, int16_t *im_block, int im_stride, int w,
int im_h,
const int16_t *x_filter_ptr) {
const int16x8_t x_filter_s16 = vld1q_s16(x_filter_ptr);
// Filter values are even, so halve to reduce intermediate precision reqs.
const int8x8_t x_filter = vshrn_n_s16(x_filter_s16,
1);
const int bd =
8;
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use non-rounding
// shifts - which are generally faster than rounding shifts on modern CPUs.
const int32_t horiz_const =
((
1 << (bd + FILTER_BITS -
1)) + (
1 << (ROUND0_BITS -
1)));
// Halve the total because we halved the filter values.
const int32x4_t correction =
vdupq_n_s32(((
128 << FILTER_BITS) + horiz_const) /
2);
const uint8_t *src_ptr = src;
int16_t *dst_ptr = im_block;
int dst_stride = im_stride;
int height = im_h;
const uint8x16x3_t permute_tbl = vld1q_u8_x3(kDotProdPermuteTbl);
do {
const uint8_t *s = src_ptr;
int16_t *d = dst_ptr;
int width = w;
do {
uint8x16_t s0, s1, s2, s3;
load_u8_16x4(s, src_stride, &s0, &s1, &s2, &s3);
int16x8_t d0 = convolve8_8_2d_h(s0, x_filter, correction, permute_tbl);
int16x8_t d1 = convolve8_8_2d_h(s1, x_filter, correction, permute_tbl);
int16x8_t d2 = convolve8_8_2d_h(s2, x_filter, correction, permute_tbl);
int16x8_t d3 = convolve8_8_2d_h(s3, x_filter, correction, permute_tbl);
store_s16_8x4(d, dst_stride, d0, d1, d2, d3);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src_ptr +=
4 * src_stride;
dst_ptr +=
4 * dst_stride;
height -=
4;
}
while (height >
4);
do {
const uint8_t *s = src_ptr;
int16_t *d = dst_ptr;
int width = w;
do {
uint8x16_t s0 = vld1q_u8(s);
int16x8_t d0 = convolve8_8_2d_h(s0, x_filter, correction, permute_tbl);
vst1q_s16(d, d0);
s +=
8;
d +=
8;
width -=
8;
}
while (width !=
0);
src_ptr += src_stride;
dst_ptr += dst_stride;
}
while (--height !=
0);
}
static inline
void convolve_2d_sr_6tap_neon_dotprod(
const uint8_t *src, int src_stride, uint8_t *dst, int dst_stride, int w,
int h,
const int16_t *x_filter_ptr,
const int16_t *y_filter_ptr) {
const int16x8_t y_filter = vld1q_s16(y_filter_ptr);
// Filter values are even, so halve to reduce intermediate precision reqs.
const int8x8_t x_filter = vshrn_n_s16(vld1q_s16(x_filter_ptr),
1);
const int bd =
8;
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use non-rounding
// shifts - which are generally faster than rounding shifts on modern CPUs.
const int32_t horiz_const =
((
1 << (bd + FILTER_BITS -
1)) + (
1 << (ROUND0_BITS -
1)));
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Halve the total because we halved the filter values.
const int32x4_t correction =
vdupq_n_s32(((
128 << FILTER_BITS) + horiz_const) /
2);
const int16x8_t vert_const = vdupq_n_s16(
1 << (bd -
1));
const uint8x16x3_t permute_tbl = vld1q_u8_x3(kDotProdPermuteTbl);
do {
const uint8_t *s = src;
uint8_t *d = dst;
int height = h;
uint8x16_t h_s0, h_s1, h_s2, h_s3, h_s4;
load_u8_16x5(s, src_stride, &h_s0, &h_s1, &h_s2, &h_s3, &h_s4);
s +=
5 * src_stride;
int16x8_t v_s0 = convolve8_8_2d_h(h_s0, x_filter, correction, permute_tbl);
int16x8_t v_s1 = convolve8_8_2d_h(h_s1, x_filter, correction, permute_tbl);
int16x8_t v_s2 = convolve8_8_2d_h(h_s2, x_filter, correction, permute_tbl);
int16x8_t v_s3 = convolve8_8_2d_h(h_s3, x_filter, correction, permute_tbl);
int16x8_t v_s4 = convolve8_8_2d_h(h_s4, x_filter, correction, permute_tbl);
do {
uint8x16_t h_s5, h_s6, h_s7, h_s8;
load_u8_16x4(s, src_stride, &h_s5, &h_s6, &h_s7, &h_s8);
int16x8_t v_s5 =
convolve8_8_2d_h(h_s5, x_filter, correction, permute_tbl);
int16x8_t v_s6 =
convolve8_8_2d_h(h_s6, x_filter, correction, permute_tbl);
int16x8_t v_s7 =
convolve8_8_2d_h(h_s7, x_filter, correction, permute_tbl);
int16x8_t v_s8 =
convolve8_8_2d_h(h_s8, x_filter, correction, permute_tbl);
uint8x8_t d0 = convolve6_8_2d_v(v_s0, v_s1, v_s2, v_s3, v_s4, v_s5,
y_filter, vert_const);
uint8x8_t d1 = convolve6_8_2d_v(v_s1, v_s2, v_s3, v_s4, v_s5, v_s6,
y_filter, vert_const);
uint8x8_t d2 = convolve6_8_2d_v(v_s2, v_s3, v_s4, v_s5, v_s6, v_s7,
y_filter, vert_const);
uint8x8_t d3 = convolve6_8_2d_v(v_s3, v_s4, v_s5, v_s6, v_s7, v_s8,
y_filter, vert_const);
store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
v_s0 = v_s4;
v_s1 = v_s5;
v_s2 = v_s6;
v_s3 = v_s7;
v_s4 = v_s8;
s +=
4 * src_stride;
d +=
4 * dst_stride;
height -=
4;
}
while (height !=
0);
src +=
8;
dst +=
8;
w -=
8;
}
while (w !=
0);
}
static inline
void convolve_2d_sr_4tap_neon_dotprod(
const uint8_t *src, int src_stride, uint8_t *dst, int dst_stride, int w,
int h,
const int16_t *x_filter_ptr,
const int16_t *y_filter_ptr) {
const int bd =
8;
const int16x8_t vert_const = vdupq_n_s16(
1 << (bd -
1));
const int16x4_t y_filter = vld1_s16(y_filter_ptr +
2);
const int16x4_t x_filter_s16 = vld1_s16(x_filter_ptr +
2);
// All 4-tap and bilinear filter values are even, so halve them to reduce
// intermediate precision requirements.
const int8x8_t x_filter =
vshrn_n_s16(vcombine_s16(x_filter_s16, vdup_n_s16(
0)),
1);
// Adding a shim of 1 << (ROUND0_BITS - 1) enables us to use non-rounding
// shifts - which are generally faster than rounding shifts on modern CPUs.
const int32_t horiz_const =
((
1 << (bd + FILTER_BITS -
1)) + (
1 << (ROUND0_BITS -
1)));
// Accumulate into 128 << FILTER_BITS to account for range transform.
// Halve the total because we halved the filter values.
const int32x4_t correction =
vdupq_n_s32(((
128 << FILTER_BITS) + horiz_const) /
2);
if (w ==
4) {
const uint8x16_t permute_tbl = vld1q_u8(kDotProdPermuteTbl);
uint8x16_t h_s0, h_s1, h_s2;
load_u8_16x3(src, src_stride, &h_s0, &h_s1, &h_s2);
int16x4_t v_s0 = convolve4_4_2d_h(h_s0, x_filter, permute_tbl, correction);
int16x4_t v_s1 = convolve4_4_2d_h(h_s1, x_filter, permute_tbl, correction);
int16x4_t v_s2 = convolve4_4_2d_h(h_s2, x_filter, permute_tbl, correction);
src +=
3 * src_stride;
do {
uint8x16_t h_s3, h_s4, h_s5, h_s6;
load_u8_16x4(src, src_stride, &h_s3, &h_s4, &h_s5, &h_s6);
int16x4_t v_s3 =
convolve4_4_2d_h(h_s3, x_filter, permute_tbl, correction);
int16x4_t v_s4 =
convolve4_4_2d_h(h_s4, x_filter, permute_tbl, correction);
int16x4_t v_s5 =
convolve4_4_2d_h(h_s5, x_filter, permute_tbl, correction);
int16x4_t v_s6 =
convolve4_4_2d_h(h_s6, x_filter, permute_tbl, correction);
int16x4_t d0 = convolve4_4_2d_v(v_s0, v_s1, v_s2, v_s3, y_filter);
int16x4_t d1 = convolve4_4_2d_v(v_s1, v_s2, v_s3, v_s4, y_filter);
int16x4_t d2 = convolve4_4_2d_v(v_s2, v_s3, v_s4, v_s5, y_filter);
int16x4_t d3 = convolve4_4_2d_v(v_s3, v_s4, v_s5, v_s6, y_filter);
uint8x8_t d01 = vqmovun_s16(vsubq_s16(vcombine_s16(d0, d1), vert_const));
uint8x8_t d23 = vqmovun_s16(vsubq_s16(vcombine_s16(d2, d3), vert_const));
store_u8x4_strided_x2(dst +
0 * dst_stride, dst_stride, d01);
store_u8x4_strided_x2(dst +
2 * dst_stride, dst_stride, d23);
v_s0 = v_s4;
v_s1 = v_s5;
v_s2 = v_s6;
src +=
4 * src_stride;
dst +=
4 * dst_stride;
h -=
4;
}
while (h !=
0);
}
else {
const uint8x16x2_t permute_tbl = vld1q_u8_x2(kDotProdPermuteTbl);
do {
int height = h;
const uint8_t *s = src;
uint8_t *d = dst;
uint8x16_t h_s0, h_s1, h_s2;
load_u8_16x3(src, src_stride, &h_s0, &h_s1, &h_s2);
int16x8_t v_s0 =
convolve4_8_2d_h(h_s0, x_filter, permute_tbl, correction);
int16x8_t v_s1 =
convolve4_8_2d_h(h_s1, x_filter, permute_tbl, correction);
int16x8_t v_s2 =
convolve4_8_2d_h(h_s2, x_filter, permute_tbl, correction);
s +=
3 * src_stride;
do {
uint8x16_t h_s3, h_s4, h_s5, h_s6;
load_u8_16x4(s, src_stride, &h_s3, &h_s4, &h_s5, &h_s6);
int16x8_t v_s3 =
convolve4_8_2d_h(h_s3, x_filter, permute_tbl, correction);
int16x8_t v_s4 =
convolve4_8_2d_h(h_s4, x_filter, permute_tbl, correction);
int16x8_t v_s5 =
convolve4_8_2d_h(h_s5, x_filter, permute_tbl, correction);
int16x8_t v_s6 =
convolve4_8_2d_h(h_s6, x_filter, permute_tbl, correction);
uint8x8_t d0 =
convolve4_8_2d_v(v_s0, v_s1, v_s2, v_s3, y_filter, vert_const);
uint8x8_t d1 =
convolve4_8_2d_v(v_s1, v_s2, v_s3, v_s4, y_filter, vert_const);
uint8x8_t d2 =
convolve4_8_2d_v(v_s2, v_s3, v_s4, v_s5, y_filter, vert_const);
uint8x8_t d3 =
convolve4_8_2d_v(v_s3, v_s4, v_s5, v_s6, y_filter, vert_const);
store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
v_s0 = v_s4;
v_s1 = v_s5;
v_s2 = v_s6;
s +=
4 * src_stride;
d +=
4 * dst_stride;
height -=
4;
}
while (height !=
0);
src +=
8;
dst +=
8;
w -=
8;
}
while (w !=
0);
}
}
void av1_convolve_2d_sr_neon_dotprod(
const uint8_t *src, int src_stride,
uint8_t *dst, int dst_stride, int w, int h,
const InterpFilterParams *filter_params_x,
const InterpFilterParams *filter_params_y,
const int subpel_x_qn,
const int subpel_y_qn,
ConvolveParams *conv_params) {
if (w ==
2 || h ==
2) {
av1_convolve_2d_sr_c(src, src_stride, dst, dst_stride, w, h,
filter_params_x, filter_params_y, subpel_x_qn,
subpel_y_qn, conv_params);
return;
}
const int y_filter_taps = get_filter_tap(filter_params_y, subpel_y_qn);
const int x_filter_taps = get_filter_tap(filter_params_x, subpel_x_qn);
const int clamped_y_taps = y_filter_taps <
4 ?
4 : y_filter_taps;
const int im_h = h + clamped_y_taps -
1;
const int im_stride = MAX_SB_SIZE;
const int vert_offset = clamped_y_taps /
2 -
1;
const int horiz_offset = filter_params_x->taps /
2 -
1;
const uint8_t *src_ptr = src - vert_offset * src_stride - horiz_offset;
const int16_t *x_filter_ptr = av1_get_interp_filter_subpel_kernel(
filter_params_x, subpel_x_qn & SUBPEL_MASK);
const int16_t *y_filter_ptr = av1_get_interp_filter_subpel_kernel(
filter_params_y, subpel_y_qn & SUBPEL_MASK);
if (filter_params_x->taps >
8) {
DECLARE_ALIGNED(
16, int16_t,
im_block[(MAX_SB_SIZE + MAX_FILTER_TAP -
1) * MAX_SB_SIZE]);
const int16x8_t x_filter_0_7 = vld1q_s16(x_filter_ptr);
const int16x4_t x_filter_8_11 = vld1_s16(x_filter_ptr +
8);
const int16x8_t y_filter_0_7 = vld1q_s16(y_filter_ptr);
const int16x4_t y_filter_8_11 = vld1_s16(y_filter_ptr +
8);
convolve_2d_sr_horiz_12tap_neon_dotprod(src_ptr, src_stride, im_block,
im_stride, w, im_h, x_filter_0_7,
x_filter_8_11);
convolve_2d_sr_vert_12tap_neon(im_block, im_stride, dst, dst_stride, w, h,
y_filter_0_7, y_filter_8_11);
}
else {
if (x_filter_taps >=
6 && y_filter_taps ==
6) {
convolve_2d_sr_6tap_neon_dotprod(src_ptr, src_stride, dst, dst_stride, w,
h, x_filter_ptr, y_filter_ptr);
return;
}
if (x_filter_taps <=
4 && y_filter_taps <=
4) {
convolve_2d_sr_4tap_neon_dotprod(src_ptr +
2, src_stride, dst, dst_stride,
w, h, x_filter_ptr, y_filter_ptr);
return;
}
DECLARE_ALIGNED(
16, int16_t,
im_block[(MAX_SB_SIZE + SUBPEL_TAPS -
1) * MAX_SB_SIZE]);
if (x_filter_taps <=
4) {
convolve_2d_sr_horiz_4tap_neon_dotprod(src_ptr +
2, src_stride, im_block,
im_stride, w, im_h, x_filter_ptr);
}
else {
convolve_2d_sr_horiz_8tap_neon_dotprod(src_ptr, src_stride, im_block,
im_stride, w, im_h, x_filter_ptr);
}
const int16x8_t y_filter = vld1q_s16(y_filter_ptr);
if (clamped_y_taps <=
4) {
convolve_2d_sr_vert_4tap_neon(im_block, im_stride, dst, dst_stride, w, h,
y_filter_ptr);
}
else if (clamped_y_taps ==
6) {
convolve_2d_sr_vert_6tap_neon(im_block, im_stride, dst, dst_stride, w, h,
y_filter);
}
else {
convolve_2d_sr_vert_8tap_neon(im_block, im_stride, dst, dst_stride, w, h,
y_filter);
}
}
}
