From 26a029d407be480d791972afb5975cf62c9360a6 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Fri, 19 Apr 2024 02:47:55 +0200 Subject: Adding upstream version 124.0.1. Signed-off-by: Daniel Baumann --- .../aom/av1/common/arm/wiener_convolve_neon.c | 348 +++++++++++++++++++++ 1 file changed, 348 insertions(+) create mode 100644 third_party/aom/av1/common/arm/wiener_convolve_neon.c (limited to 'third_party/aom/av1/common/arm/wiener_convolve_neon.c') diff --git a/third_party/aom/av1/common/arm/wiener_convolve_neon.c b/third_party/aom/av1/common/arm/wiener_convolve_neon.c new file mode 100644 index 0000000000..6440c16adb --- /dev/null +++ b/third_party/aom/av1/common/arm/wiener_convolve_neon.c @@ -0,0 +1,348 @@ +/* + * Copyright (c) 2018, 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 +#include + +#include "config/aom_config.h" +#include "config/av1_rtcd.h" + +#include "aom_dsp/arm/mem_neon.h" +#include "aom_dsp/arm/transpose_neon.h" +#include "aom_dsp/txfm_common.h" +#include "aom_ports/mem.h" +#include "av1/common/common.h" +#include "av1/common/restoration.h" + +static INLINE uint16x8_t wiener_convolve5_8_2d_h( + const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2, + const uint8x8_t t3, const uint8x8_t t4, const int16x4_t x_filter, + const int32x4_t round_vec, const uint16x8_t im_max_val) { + // Since the Wiener filter is symmetric about the middle tap (tap 2) add + // mirrored source elements before multiplying filter coefficients. + int16x8_t s04 = vreinterpretq_s16_u16(vaddl_u8(t0, t4)); + int16x8_t s13 = vreinterpretq_s16_u16(vaddl_u8(t1, t3)); + int16x8_t s2 = vreinterpretq_s16_u16(vmovl_u8(t2)); + + // 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); + + uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS), + vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS)); + + return vminq_u16(res, im_max_val); +} + +static INLINE void convolve_add_src_horiz_5tap_neon( + const uint8_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 uint8_t *s = src_ptr; + uint16_t *d = dst_ptr; + int width = w; + + do { + uint8x8_t s0, s1, s2, s3, s4; + load_u8_8x5(s, 1, &s0, &s1, &s2, &s3, &s4); + + uint16x8_t d0 = 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); +} + +static INLINE uint16x8_t wiener_convolve7_8_2d_h( + const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2, + const uint8x8_t t3, const uint8x8_t t4, const uint8x8_t t5, + const uint8x8_t t6, const int16x4_t x_filter, const int32x4_t round_vec, + const uint16x8_t im_max_val) { + // Since the Wiener filter is symmetric about the middle tap (tap 3) add + // mirrored source elements before multiplying by filter coefficients. + int16x8_t s06 = vreinterpretq_s16_u16(vaddl_u8(t0, t6)); + int16x8_t s15 = vreinterpretq_s16_u16(vaddl_u8(t1, t5)); + int16x8_t s24 = vreinterpretq_s16_u16(vaddl_u8(t2, t4)); + int16x8_t s3 = vreinterpretq_s16_u16(vmovl_u8(t3)); + + 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); + + uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS), + vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS)); + + return vminq_u16(res, im_max_val); +} + +static INLINE void convolve_add_src_horiz_7tap_neon( + const uint8_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 uint8_t *s = src_ptr; + uint16_t *d = dst_ptr; + int width = w; + + do { + uint8x8_t s0, s1, s2, s3, s4, s5, s6; + load_u8_8x7(s, 1, &s0, &s1, &s2, &s3, &s4, &s5, &s6); + + uint16x8_t d0 = 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); +} + +static INLINE uint8x8_t 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) { + // Since the Wiener filter is symmetric about the middle tap (tap 2) add + // mirrored source elements before multiplying by filter coefficients. + int16x8_t s04 = vaddq_s16(s0, s4); + int16x8_t s13 = vaddq_s16(s1, s3); + + int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s04), y_filter, 1); + sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), y_filter, 2); + sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), y_filter, 3); + + int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s04), y_filter, 1); + sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), y_filter, 2); + sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), y_filter, 3); + + int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS); + int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS); + + return vqmovun_s16(vcombine_s16(res_lo, res_hi)); +} + +static INLINE void convolve_add_src_vert_5tap_neon( + const uint16_t *src, ptrdiff_t src_stride, uint8_t *dst, + ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter, + const int32x4_t round_vec) { + do { + const int16_t *s = (int16_t *)src; + uint8_t *d = dst; + 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); + + uint8x8_t d0 = + wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec); + uint8x8_t d1 = + wiener_convolve5_8_2d_v(s1, s2, s3, s4, s5, y_filter, round_vec); + uint8x8_t d2 = + wiener_convolve5_8_2d_v(s2, s3, s4, s5, s6, y_filter, round_vec); + uint8x8_t d3 = + wiener_convolve5_8_2d_v(s3, s4, s5, s6, s7, y_filter, round_vec); + + store_u8_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); + + uint8x8_t d0 = + wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec); + + vst1_u8(d, d0); + + d += dst_stride; + s += src_stride; + } + + src += 8; + dst += 8; + w -= 8; + } while (w != 0); +} + +static INLINE uint8x8_t 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) { + // Since the Wiener filter is symmetric about the middle tap (tap 3) add + // mirrored source elements before multiplying by filter coefficients. + 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), y_filter, 0); + sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), y_filter, 1); + sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), y_filter, 2); + sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), y_filter, 3); + + int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s06), y_filter, 0); + sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), y_filter, 1); + sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), y_filter, 2); + sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), y_filter, 3); + + int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS); + int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS); + + return vqmovun_s16(vcombine_s16(res_lo, res_hi)); +} + +static INLINE void convolve_add_src_vert_7tap_neon( + const uint16_t *src, ptrdiff_t src_stride, uint8_t *dst, + ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter, + const int32x4_t round_vec) { + do { + const int16_t *s = (int16_t *)src; + uint8_t *d = dst; + 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); + + uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6, + y_filter, round_vec); + uint8x8_t d1 = wiener_convolve7_8_2d_v(s1, s2, s3, s4, s5, s6, s7, + y_filter, round_vec); + uint8x8_t d2 = wiener_convolve7_8_2d_v(s2, s3, s4, s5, s6, s7, s8, + y_filter, round_vec); + uint8x8_t d3 = wiener_convolve7_8_2d_v(s3, s4, s5, s6, s7, s8, s9, + y_filter, round_vec); + + store_u8_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); + + uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6, + y_filter, round_vec); + + vst1_u8(d, d0); + + d += dst_stride; + s += src_stride; + } + + src += 8; + dst += 8; + w -= 8; + } while (w != 0); +} + +static AOM_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; +} + +// Wiener filter 2D +// Apply horizontal filter and store in a temporary buffer. When applying +// vertical filter, overwrite the original pixel values. +void av1_wiener_convolve_add_src_neon(const uint8_t *src, ptrdiff_t src_stride, + uint8_t *dst, 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) { + (void)x_step_q4; + (void)y_step_q4; + (void)conv_params; + + 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); + // For bd == 8, assert horizontal filtering output will not exceed 15-bit: + assert(8 + 1 + FILTER_BITS - conv_params->round_0 <= 15); + + 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 bd = 8; + const uint16x8_t im_max_val = + vdupq_n_u16((1 << (bd + 1 + FILTER_BITS - WIENER_ROUND0_BITS)) - 1); + const int32x4_t horiz_round_vec = vdupq_n_s32(1 << (bd + FILTER_BITS - 1)); + + const int32x4_t vert_round_vec = + vdupq_n_s32((1 << (2 * FILTER_BITS - WIENER_ROUND0_BITS - 1)) - + (1 << (bd + (2 * FILTER_BITS - WIENER_ROUND0_BITS) - 1))); + + if (x_filter_taps == WIENER_WIN_REDUCED) { + convolve_add_src_horiz_5tap_neon(src - horiz_offset - vert_offset, + src_stride, im_block, im_stride, w, im_h, + x_filter_s16, horiz_round_vec, im_max_val); + } else { + convolve_add_src_horiz_7tap_neon(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) { + convolve_add_src_vert_5tap_neon(im_block, im_stride, dst, dst_stride, w, h, + y_filter_s16, vert_round_vec); + } else { + convolve_add_src_vert_7tap_neon(im_block, im_stride, dst, dst_stride, w, h, + y_filter_s16, vert_round_vec); + } +} -- cgit v1.2.3