blob: 702c651536464dd95843a586bbb4e29c313d0ba3 [file] [log] [blame]
/*
* 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 <assert.h>
#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/convolve.h"
#include "av1/common/filter.h"
#include "av1/common/arm/highbd_convolve_neon.h"
static INLINE void highbd_dist_wtd_comp_avg_neon(
const uint16_t *src_ptr, int src_stride, uint16_t *dst_ptr, int dst_stride,
int w, int h, ConvolveParams *conv_params, const int round_bits,
const int offset, const int bd) {
CONV_BUF_TYPE *ref_ptr = conv_params->dst;
const int ref_stride = conv_params->dst_stride;
const int32x4_t round_shift = vdupq_n_s32(-round_bits);
const uint32x4_t offset_vec = vdupq_n_u32(offset);
const uint16x8_t max = vdupq_n_u16((1 << bd) - 1);
uint16x4_t fwd_offset = vdup_n_u16(conv_params->fwd_offset);
uint16x4_t bck_offset = vdup_n_u16(conv_params->bck_offset);
// Weighted averaging
if (w <= 4) {
do {
const uint16x4_t src = vld1_u16(src_ptr);
const uint16x4_t ref = vld1_u16(ref_ptr);
uint32x4_t wtd_avg = vmull_u16(ref, fwd_offset);
wtd_avg = vmlal_u16(wtd_avg, src, bck_offset);
wtd_avg = vshrq_n_u32(wtd_avg, DIST_PRECISION_BITS);
int32x4_t d0 = vreinterpretq_s32_u32(vsubq_u32(wtd_avg, offset_vec));
d0 = vqrshlq_s32(d0, round_shift);
uint16x4_t d0_u16 = vqmovun_s32(d0);
d0_u16 = vmin_u16(d0_u16, vget_low_u16(max));
if (w == 2) {
store_u16_2x1(dst_ptr, d0_u16);
} else {
vst1_u16(dst_ptr, d0_u16);
}
src_ptr += src_stride;
dst_ptr += dst_stride;
ref_ptr += ref_stride;
} while (--h != 0);
} else {
do {
int width = w;
const uint16_t *src = src_ptr;
const uint16_t *ref = ref_ptr;
uint16_t *dst = dst_ptr;
do {
const uint16x8_t s = vld1q_u16(src);
const uint16x8_t r = vld1q_u16(ref);
uint32x4_t wtd_avg0 = vmull_u16(vget_low_u16(r), fwd_offset);
wtd_avg0 = vmlal_u16(wtd_avg0, vget_low_u16(s), bck_offset);
wtd_avg0 = vshrq_n_u32(wtd_avg0, DIST_PRECISION_BITS);
int32x4_t d0 = vreinterpretq_s32_u32(vsubq_u32(wtd_avg0, offset_vec));
d0 = vqrshlq_s32(d0, round_shift);
uint32x4_t wtd_avg1 = vmull_u16(vget_high_u16(r), fwd_offset);
wtd_avg1 = vmlal_u16(wtd_avg1, vget_high_u16(s), bck_offset);
wtd_avg1 = vshrq_n_u32(wtd_avg1, DIST_PRECISION_BITS);
int32x4_t d1 = vreinterpretq_s32_u32(vsubq_u32(wtd_avg1, offset_vec));
d1 = vqrshlq_s32(d1, round_shift);
uint16x8_t d01 = vcombine_u16(vqmovun_s32(d0), vqmovun_s32(d1));
d01 = vminq_u16(d01, max);
vst1q_u16(dst, d01);
src += 8;
ref += 8;
dst += 8;
width -= 8;
} while (width != 0);
src_ptr += src_stride;
dst_ptr += dst_stride;
ref_ptr += ref_stride;
} while (--h != 0);
}
}
static INLINE void highbd_comp_avg_neon(const uint16_t *src_ptr, int src_stride,
uint16_t *dst_ptr, int dst_stride,
int w, int h,
ConvolveParams *conv_params,
const int round_bits, const int offset,
const int bd) {
CONV_BUF_TYPE *ref_ptr = conv_params->dst;
const int ref_stride = conv_params->dst_stride;
const int32x4_t round_shift = vdupq_n_s32(-round_bits);
const uint16x4_t offset_vec = vdup_n_u16(offset);
const uint16x8_t max = vdupq_n_u16((1 << bd) - 1);
if (w <= 4) {
do {
const uint16x4_t src = vld1_u16(src_ptr);
const uint16x4_t ref = vld1_u16(ref_ptr);
uint16x4_t avg = vhadd_u16(src, ref);
int32x4_t d0 = vreinterpretq_s32_u32(vsubl_u16(avg, offset_vec));
d0 = vqrshlq_s32(d0, round_shift);
uint16x4_t d0_u16 = vqmovun_s32(d0);
d0_u16 = vmin_u16(d0_u16, vget_low_u16(max));
if (w == 2) {
store_u16_2x1(dst_ptr, d0_u16);
} else {
vst1_u16(dst_ptr, d0_u16);
}
src_ptr += src_stride;
ref_ptr += ref_stride;
dst_ptr += dst_stride;
} while (--h != 0);
} else {
do {
int width = w;
const uint16_t *src = src_ptr;
const uint16_t *ref = ref_ptr;
uint16_t *dst = dst_ptr;
do {
const uint16x8_t s = vld1q_u16(src);
const uint16x8_t r = vld1q_u16(ref);
uint16x8_t avg = vhaddq_u16(s, r);
int32x4_t d0_lo =
vreinterpretq_s32_u32(vsubl_u16(vget_low_u16(avg), offset_vec));
int32x4_t d0_hi =
vreinterpretq_s32_u32(vsubl_u16(vget_high_u16(avg), offset_vec));
d0_lo = vqrshlq_s32(d0_lo, round_shift);
d0_hi = vqrshlq_s32(d0_hi, round_shift);
uint16x8_t d0 = vcombine_u16(vqmovun_s32(d0_lo), vqmovun_s32(d0_hi));
d0 = vminq_u16(d0, max);
vst1q_u16(dst, d0);
src += 8;
ref += 8;
dst += 8;
width -= 8;
} while (width != 0);
src_ptr += src_stride;
ref_ptr += ref_stride;
dst_ptr += dst_stride;
} while (--h != 0);
}
}
static INLINE void highbd_convolve_2d_x_scale_8tap_neon(
const uint16_t *src_ptr, int src_stride, uint16_t *dst_ptr, int dst_stride,
int w, int h, const int subpel_x_qn, const int x_step_qn,
const InterpFilterParams *filter_params, ConvolveParams *conv_params,
const int offset) {
static const uint32_t kIdx[4] = { 0, 1, 2, 3 };
const uint32x4_t idx = vld1q_u32(kIdx);
const uint32x4_t subpel_mask = vdupq_n_u32(SCALE_SUBPEL_MASK);
const int32x4_t shift_s32 = vdupq_n_s32(-conv_params->round_0);
const int32x4_t offset_s32 = vdupq_n_s32(offset);
if (w <= 4) {
int height = h;
uint16_t *d = dst_ptr;
do {
int x_qn = subpel_x_qn;
// Load 4 src vectors at a time, they might be the same, but we have to
// calculate the indices anyway. Doing it in SIMD and then storing the
// indices is faster than having to calculate the expression
// &src_ptr[((x_qn + 0*x_step_qn) >> SCALE_SUBPEL_BITS)] 4 times
// Ideally this should be a gather using the indices, but NEON does not
// have that, so have to emulate
const uint32x4_t xqn_idx = vmlaq_n_u32(vdupq_n_u32(x_qn), idx, x_step_qn);
// We have to multiply x2 to get the actual pointer as sizeof(uint16_t) =
// 2
const uint32x4_t src_idx_u32 =
vshlq_n_u32(vshrq_n_u32(xqn_idx, SCALE_SUBPEL_BITS), 1);
#if AOM_ARCH_AARCH64
uint64x2_t src4[2];
src4[0] = vaddw_u32(vdupq_n_u64((const uint64_t)src_ptr),
vget_low_u32(src_idx_u32));
src4[1] = vaddw_u32(vdupq_n_u64((const uint64_t)src_ptr),
vget_high_u32(src_idx_u32));
int16_t *src4_ptr[4];
uint64_t *tmp_ptr = (uint64_t *)&src4_ptr;
vst1q_u64(tmp_ptr, src4[0]);
vst1q_u64(tmp_ptr + 2, src4[1]);
#else
uint32x4_t src4;
src4 = vaddq_u32(vdupq_n_u32((const uint32_t)src_ptr), src_idx_u32);
int16_t *src4_ptr[4];
uint32_t *tmp_ptr = (uint32_t *)&src4_ptr;
vst1q_u32(tmp_ptr, src4);
#endif // AOM_ARCH_AARCH64
// Same for the filter vectors
const int32x4_t filter_idx_s32 = vreinterpretq_s32_u32(
vshrq_n_u32(vandq_u32(xqn_idx, subpel_mask), SCALE_EXTRA_BITS));
int32_t x_filter4_idx[4];
vst1q_s32(x_filter4_idx, filter_idx_s32);
const int16_t *x_filter4_ptr[4];
// Load source
int16x8_t s0 = vld1q_s16(src4_ptr[0]);
int16x8_t s1 = vld1q_s16(src4_ptr[1]);
int16x8_t s2 = vld1q_s16(src4_ptr[2]);
int16x8_t s3 = vld1q_s16(src4_ptr[3]);
// We could easily do this using SIMD as well instead of calling the
// inline function 4 times.
x_filter4_ptr[0] =
av1_get_interp_filter_subpel_kernel(filter_params, x_filter4_idx[0]);
x_filter4_ptr[1] =
av1_get_interp_filter_subpel_kernel(filter_params, x_filter4_idx[1]);
x_filter4_ptr[2] =
av1_get_interp_filter_subpel_kernel(filter_params, x_filter4_idx[2]);
x_filter4_ptr[3] =
av1_get_interp_filter_subpel_kernel(filter_params, x_filter4_idx[3]);
// Actually load the filters
const int16x8_t x_filter0 = vld1q_s16(x_filter4_ptr[0]);
const int16x8_t x_filter1 = vld1q_s16(x_filter4_ptr[1]);
const int16x8_t x_filter2 = vld1q_s16(x_filter4_ptr[2]);
const int16x8_t x_filter3 = vld1q_s16(x_filter4_ptr[3]);
// Group low and high parts and transpose
int16x4_t filters_lo[] = { vget_low_s16(x_filter0),
vget_low_s16(x_filter1),
vget_low_s16(x_filter2),
vget_low_s16(x_filter3) };
int16x4_t filters_hi[] = { vget_high_s16(x_filter0),
vget_high_s16(x_filter1),
vget_high_s16(x_filter2),
vget_high_s16(x_filter3) };
transpose_array_inplace_u16_4x4((uint16x4_t *)filters_lo);
transpose_array_inplace_u16_4x4((uint16x4_t *)filters_hi);
// Run the 2D Scale convolution
uint16x4_t d0 = highbd_convolve8_2d_scale_horiz4x8_s32_s16(
s0, s1, s2, s3, filters_lo, filters_hi, shift_s32, offset_s32);
if (w == 2) {
store_u16_2x1(d, d0);
} else {
vst1_u16(d, d0);
}
src_ptr += src_stride;
d += dst_stride;
height--;
} while (height > 0);
} else {
int height = h;
do {
int width = w;
int x_qn = subpel_x_qn;
uint16_t *d = dst_ptr;
const uint16_t *s = src_ptr;
do {
// Load 4 src vectors at a time, they might be the same, but we have to
// calculate the indices anyway. Doing it in SIMD and then storing the
// indices is faster than having to calculate the expression
// &src_ptr[((x_qn + 0*x_step_qn) >> SCALE_SUBPEL_BITS)] 4 times
// Ideally this should be a gather using the indices, but NEON does not
// have that, so have to emulate
const uint32x4_t xqn_idx =
vmlaq_n_u32(vdupq_n_u32(x_qn), idx, x_step_qn);
// We have to multiply x2 to get the actual pointer as sizeof(uint16_t)
// = 2
const uint32x4_t src_idx_u32 =
vshlq_n_u32(vshrq_n_u32(xqn_idx, SCALE_SUBPEL_BITS), 1);
#if AOM_ARCH_AARCH64
uint64x2_t src4[2];
src4[0] = vaddw_u32(vdupq_n_u64((const uint64_t)s),
vget_low_u32(src_idx_u32));
src4[1] = vaddw_u32(vdupq_n_u64((const uint64_t)s),
vget_high_u32(src_idx_u32));
int16_t *src4_ptr[4];
uint64_t *tmp_ptr = (uint64_t *)&src4_ptr;
vst1q_u64(tmp_ptr, src4[0]);
vst1q_u64(tmp_ptr + 2, src4[1]);
#else
uint32x4_t src4;
src4 = vaddq_u32(vdupq_n_u32((const uint32_t)s), src_idx_u32);
int16_t *src4_ptr[4];
uint32_t *tmp_ptr = (uint32_t *)&src4_ptr;
vst1q_u32(tmp_ptr, src4);
#endif // AOM_ARCH_AARCH64
// Same for the filter vectors
const int32x4_t filter_idx_s32 = vreinterpretq_s32_u32(
vshrq_n_u32(vandq_u32(xqn_idx, subpel_mask), SCALE_EXTRA_BITS));
int32_t x_filter4_idx[4];
vst1q_s32(x_filter4_idx, filter_idx_s32);
const int16_t *x_filter4_ptr[4];
// Load source
int16x8_t s0 = vld1q_s16(src4_ptr[0]);
int16x8_t s1 = vld1q_s16(src4_ptr[1]);
int16x8_t s2 = vld1q_s16(src4_ptr[2]);
int16x8_t s3 = vld1q_s16(src4_ptr[3]);
// We could easily do this using SIMD as well instead of calling the
// inline function 4 times.
x_filter4_ptr[0] = av1_get_interp_filter_subpel_kernel(
filter_params, x_filter4_idx[0]);
x_filter4_ptr[1] = av1_get_interp_filter_subpel_kernel(
filter_params, x_filter4_idx[1]);
x_filter4_ptr[2] = av1_get_interp_filter_subpel_kernel(
filter_params, x_filter4_idx[2]);
x_filter4_ptr[3] = av1_get_interp_filter_subpel_kernel(
filter_params, x_filter4_idx[3]);
// Actually load the filters
const int16x8_t x_filter0 = vld1q_s16(x_filter4_ptr[0]);
const int16x8_t x_filter1 = vld1q_s16(x_filter4_ptr[1]);
const int16x8_t x_filter2 = vld1q_s16(x_filter4_ptr[2]);
const int16x8_t x_filter3 = vld1q_s16(x_filter4_ptr[3]);
// Group low and high parts and transpose
int16x4_t filters_lo[] = { vget_low_s16(x_filter0),
vget_low_s16(x_filter1),
vget_low_s16(x_filter2),
vget_low_s16(x_filter3) };
int16x4_t filters_hi[] = { vget_high_s16(x_filter0),
vget_high_s16(x_filter1),
vget_high_s16(x_filter2),
vget_high_s16(x_filter3) };
transpose_array_inplace_u16_4x4((uint16x4_t *)filters_lo);
transpose_array_inplace_u16_4x4((uint16x4_t *)filters_hi);
// Run the 2D Scale X convolution
uint16x4_t d0 = highbd_convolve8_2d_scale_horiz4x8_s32_s16(
s0, s1, s2, s3, filters_lo, filters_hi, shift_s32, offset_s32);
vst1_u16(d, d0);
x_qn += 4 * x_step_qn;
d += 4;
width -= 4;
} while (width > 0);
src_ptr += src_stride;
dst_ptr += dst_stride;
height--;
} while (height > 0);
}
}
static INLINE void highbd_convolve_2d_y_scale_8tap_neon(
const uint16_t *src_ptr, int src_stride, uint16_t *dst_ptr, int dst_stride,
int w, int h, const int subpel_y_qn, const int y_step_qn,
const InterpFilterParams *filter_params, const int round1_bits,
const int offset) {
const int32x4_t offset_s32 = vdupq_n_s32(1 << offset);
const int32x4_t round1_shift_s32 = vdupq_n_s32(-round1_bits);
if (w <= 4) {
int height = h;
uint16_t *d = dst_ptr;
int y_qn = subpel_y_qn;
do {
const int16_t *s =
(const int16_t *)&src_ptr[(y_qn >> SCALE_SUBPEL_BITS) * src_stride];
int16x4_t s0, s1, s2, s3, s4, s5, s6, s7;
load_s16_4x8(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7);
const int y_filter_idx = (y_qn & SCALE_SUBPEL_MASK) >> SCALE_EXTRA_BITS;
const int16_t *y_filter_ptr =
av1_get_interp_filter_subpel_kernel(filter_params, y_filter_idx);
const int16x8_t y_filter = vld1q_s16(y_filter_ptr);
uint16x4_t d0 = highbd_convolve8_4_srsub_s32_s16(
s0, s1, s2, s3, s4, s5, s6, s7, y_filter, round1_shift_s32,
offset_s32, vdupq_n_s32(0));
if (w == 2) {
store_u16_2x1(d, d0);
} else {
vst1_u16(d, d0);
}
y_qn += y_step_qn;
d += dst_stride;
height--;
} while (height > 0);
} else {
int width = w;
do {
int height = h;
int y_qn = subpel_y_qn;
uint16_t *d = dst_ptr;
do {
const int16_t *s =
(const int16_t *)&src_ptr[(y_qn >> SCALE_SUBPEL_BITS) * src_stride];
int16x8_t s0, s1, s2, s3, s4, s5, s6, s7;
load_s16_8x8(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7);
const int y_filter_idx = (y_qn & SCALE_SUBPEL_MASK) >> SCALE_EXTRA_BITS;
const int16_t *y_filter_ptr =
av1_get_interp_filter_subpel_kernel(filter_params, y_filter_idx);
const int16x8_t y_filter = vld1q_s16(y_filter_ptr);
uint16x8_t d0 = highbd_convolve8_8_srsub_s32_s16(
s0, s1, s2, s3, s4, s5, s6, s7, y_filter, round1_shift_s32,
offset_s32, vdupq_n_s32(0));
vst1q_u16(d, d0);
y_qn += y_step_qn;
d += dst_stride;
height--;
} while (height > 0);
src_ptr += 8;
dst_ptr += 8;
width -= 8;
} while (width > 0);
}
}
static INLINE void highbd_convolve_correct_offset_neon(
const uint16_t *src_ptr, int src_stride, uint16_t *dst_ptr, int dst_stride,
int w, int h, const int round_bits, const int offset, const int bd) {
const int32x4_t round_shift_s32 = vdupq_n_s32(-round_bits);
const int16x4_t offset_s16 = vdup_n_s16(offset);
const uint16x8_t max = vdupq_n_u16((1 << bd) - 1);
if (w <= 4) {
for (int y = 0; y < h; ++y) {
const int16x4_t s = vld1_s16((const int16_t *)src_ptr + y * src_stride);
const int32x4_t d0 =
vqrshlq_s32(vsubl_s16(s, offset_s16), round_shift_s32);
uint16x4_t d = vqmovun_s32(d0);
d = vmin_u16(d, vget_low_u16(max));
if (w == 2) {
store_u16_2x1(dst_ptr + y * dst_stride, d);
} else {
vst1_u16(dst_ptr + y * dst_stride, d);
}
}
} else {
for (int y = 0; y < h; ++y) {
for (int x = 0; x < w; x += 8) {
// Subtract round offset and convolve round
const int16x8_t s =
vld1q_s16((const int16_t *)src_ptr + y * src_stride + x);
const int32x4_t d0 = vqrshlq_s32(vsubl_s16(vget_low_s16(s), offset_s16),
round_shift_s32);
const int32x4_t d1 = vqrshlq_s32(
vsubl_s16(vget_high_s16(s), offset_s16), round_shift_s32);
uint16x8_t d01 = vcombine_u16(vqmovun_s32(d0), vqmovun_s32(d1));
d01 = vminq_u16(d01, max);
vst1q_u16(dst_ptr + y * dst_stride + x, d01);
}
}
}
}
void av1_highbd_convolve_2d_scale_neon(
const uint16_t *src, int src_stride, uint16_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 x_step_qn, const int subpel_y_qn, const int y_step_qn,
ConvolveParams *conv_params, int bd) {
uint16_t *im_block = (uint16_t *)aom_memalign(
16, 2 * sizeof(uint16_t) * MAX_SB_SIZE * (MAX_SB_SIZE + MAX_FILTER_TAP));
if (!im_block) return;
uint16_t *im_block2 = (uint16_t *)aom_memalign(
16, 2 * sizeof(uint16_t) * MAX_SB_SIZE * (MAX_SB_SIZE + MAX_FILTER_TAP));
if (!im_block2) {
aom_free(im_block); // free the first block and return.
return;
}
int im_h = (((h - 1) * y_step_qn + subpel_y_qn) >> SCALE_SUBPEL_BITS) +
filter_params_y->taps;
const int im_stride = MAX_SB_SIZE;
const int bits =
FILTER_BITS * 2 - conv_params->round_0 - conv_params->round_1;
assert(bits >= 0);
const int vert_offset = filter_params_y->taps / 2 - 1;
const int horiz_offset = filter_params_x->taps / 2 - 1;
const int x_offset_bits = (1 << (bd + FILTER_BITS - 1));
const int y_offset_bits = bd + 2 * FILTER_BITS - conv_params->round_0;
const int y_offset_correction =
((1 << (y_offset_bits - conv_params->round_1)) +
(1 << (y_offset_bits - conv_params->round_1 - 1)));
CONV_BUF_TYPE *dst16 = conv_params->dst;
const int dst16_stride = conv_params->dst_stride;
const uint16_t *src_ptr = src - vert_offset * src_stride - horiz_offset;
highbd_convolve_2d_x_scale_8tap_neon(
src_ptr, src_stride, im_block, im_stride, w, im_h, subpel_x_qn, x_step_qn,
filter_params_x, conv_params, x_offset_bits);
if (conv_params->is_compound && !conv_params->do_average) {
highbd_convolve_2d_y_scale_8tap_neon(
im_block, im_stride, dst16, dst16_stride, w, h, subpel_y_qn, y_step_qn,
filter_params_y, conv_params->round_1, y_offset_bits);
} else {
highbd_convolve_2d_y_scale_8tap_neon(
im_block, im_stride, im_block2, im_stride, w, h, subpel_y_qn, y_step_qn,
filter_params_y, conv_params->round_1, y_offset_bits);
}
// Do the compound averaging outside the loop, avoids branching within the
// main loop
if (conv_params->is_compound) {
if (conv_params->do_average) {
if (conv_params->use_dist_wtd_comp_avg) {
highbd_dist_wtd_comp_avg_neon(im_block2, im_stride, dst, dst_stride, w,
h, conv_params, bits, y_offset_correction,
bd);
} else {
highbd_comp_avg_neon(im_block2, im_stride, dst, dst_stride, w, h,
conv_params, bits, y_offset_correction, bd);
}
}
} else {
highbd_convolve_correct_offset_neon(im_block2, im_stride, dst, dst_stride,
w, h, bits, y_offset_correction, bd);
}
aom_free(im_block);
aom_free(im_block2);
}