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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
commit | 26a029d407be480d791972afb5975cf62c9360a6 (patch) | |
tree | f435a8308119effd964b339f76abb83a57c29483 /third_party/aom/av1/encoder/pickrst.c | |
parent | Initial commit. (diff) | |
download | firefox-26a029d407be480d791972afb5975cf62c9360a6.tar.xz firefox-26a029d407be480d791972afb5975cf62c9360a6.zip |
Adding upstream version 124.0.1.upstream/124.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | third_party/aom/av1/encoder/pickrst.c | 2217 |
1 files changed, 2217 insertions, 0 deletions
diff --git a/third_party/aom/av1/encoder/pickrst.c b/third_party/aom/av1/encoder/pickrst.c new file mode 100644 index 0000000000..6429064175 --- /dev/null +++ b/third_party/aom/av1/encoder/pickrst.c @@ -0,0 +1,2217 @@ +/* + * Copyright (c) 2016, 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 <float.h> +#include <limits.h> +#include <math.h> + +#include "config/aom_scale_rtcd.h" +#include "config/av1_rtcd.h" + +#include "aom_dsp/aom_dsp_common.h" +#include "aom_dsp/binary_codes_writer.h" +#include "aom_dsp/mathutils.h" +#include "aom_dsp/psnr.h" +#include "aom_mem/aom_mem.h" +#include "aom_ports/mem.h" +#include "av1/common/av1_common_int.h" +#include "av1/common/quant_common.h" +#include "av1/common/restoration.h" + +#include "av1/encoder/av1_quantize.h" +#include "av1/encoder/encoder.h" +#include "av1/encoder/picklpf.h" +#include "av1/encoder/pickrst.h" + +// Number of Wiener iterations +#define NUM_WIENER_ITERS 5 + +// Penalty factor for use of dual sgr +#define DUAL_SGR_PENALTY_MULT 0.01 + +// Working precision for Wiener filter coefficients +#define WIENER_TAP_SCALE_FACTOR ((int64_t)1 << 16) + +#define SGRPROJ_EP_GRP1_START_IDX 0 +#define SGRPROJ_EP_GRP1_END_IDX 9 +#define SGRPROJ_EP_GRP1_SEARCH_COUNT 4 +#define SGRPROJ_EP_GRP2_3_SEARCH_COUNT 2 +static const int sgproj_ep_grp1_seed[SGRPROJ_EP_GRP1_SEARCH_COUNT] = { 0, 3, 6, + 9 }; +static const int sgproj_ep_grp2_3[SGRPROJ_EP_GRP2_3_SEARCH_COUNT][14] = { + { 10, 10, 11, 11, 12, 12, 13, 13, 13, 13, -1, -1, -1, -1 }, + { 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15 } +}; + +#if DEBUG_LR_COSTING +RestorationUnitInfo lr_ref_params[RESTORE_TYPES][MAX_MB_PLANE] + [MAX_LR_UNITS_W * MAX_LR_UNITS_H]; +#endif // DEBUG_LR_COSTING + +typedef int64_t (*sse_extractor_type)(const YV12_BUFFER_CONFIG *a, + const YV12_BUFFER_CONFIG *b); +typedef int64_t (*sse_part_extractor_type)(const YV12_BUFFER_CONFIG *a, + const YV12_BUFFER_CONFIG *b, + int hstart, int width, int vstart, + int height); +typedef uint64_t (*var_part_extractor_type)(const YV12_BUFFER_CONFIG *a, + int hstart, int width, int vstart, + int height); + +#if CONFIG_AV1_HIGHBITDEPTH +#define NUM_EXTRACTORS (3 * (1 + 1)) +#else +#define NUM_EXTRACTORS 3 +#endif +static const sse_part_extractor_type sse_part_extractors[NUM_EXTRACTORS] = { + aom_get_y_sse_part, aom_get_u_sse_part, + aom_get_v_sse_part, +#if CONFIG_AV1_HIGHBITDEPTH + aom_highbd_get_y_sse_part, aom_highbd_get_u_sse_part, + aom_highbd_get_v_sse_part, +#endif +}; +static const var_part_extractor_type var_part_extractors[NUM_EXTRACTORS] = { + aom_get_y_var, aom_get_u_var, aom_get_v_var, +#if CONFIG_AV1_HIGHBITDEPTH + aom_highbd_get_y_var, aom_highbd_get_u_var, aom_highbd_get_v_var, +#endif +}; + +static int64_t sse_restoration_unit(const RestorationTileLimits *limits, + const YV12_BUFFER_CONFIG *src, + const YV12_BUFFER_CONFIG *dst, int plane, + int highbd) { + return sse_part_extractors[3 * highbd + plane]( + src, dst, limits->h_start, limits->h_end - limits->h_start, + limits->v_start, limits->v_end - limits->v_start); +} + +static uint64_t var_restoration_unit(const RestorationTileLimits *limits, + const YV12_BUFFER_CONFIG *src, int plane, + int highbd) { + return var_part_extractors[3 * highbd + plane]( + src, limits->h_start, limits->h_end - limits->h_start, limits->v_start, + limits->v_end - limits->v_start); +} + +typedef struct { + const YV12_BUFFER_CONFIG *src; + YV12_BUFFER_CONFIG *dst; + + const AV1_COMMON *cm; + const MACROBLOCK *x; + int plane; + int plane_w; + int plane_h; + RestUnitSearchInfo *rusi; + + // Speed features + const LOOP_FILTER_SPEED_FEATURES *lpf_sf; + + uint8_t *dgd_buffer; + int dgd_stride; + const uint8_t *src_buffer; + int src_stride; + + // SSE values for each restoration mode for the current RU + // These are saved by each search function for use in search_switchable() + int64_t sse[RESTORE_SWITCHABLE_TYPES]; + + // This flag will be set based on the speed feature + // 'prune_sgr_based_on_wiener'. 0 implies no pruning and 1 implies pruning. + uint8_t skip_sgr_eval; + + // Total rate and distortion so far for each restoration type + // These are initialised by reset_rsc in search_rest_type + int64_t total_sse[RESTORE_TYPES]; + int64_t total_bits[RESTORE_TYPES]; + + // Reference parameters for delta-coding + // + // For each restoration type, we need to store the latest parameter set which + // has been used, so that we can properly cost up the next parameter set. + // Note that we have two sets of these - one for the single-restoration-mode + // search (ie, frame_restoration_type = RESTORE_WIENER or RESTORE_SGRPROJ) + // and one for the switchable mode. This is because these two cases can lead + // to different sets of parameters being signaled, but we don't know which + // we will pick for sure until the end of the search process. + WienerInfo ref_wiener; + SgrprojInfo ref_sgrproj; + WienerInfo switchable_ref_wiener; + SgrprojInfo switchable_ref_sgrproj; + + // Buffers used to hold dgd-avg and src-avg data respectively during SIMD + // call of Wiener filter. + int16_t *dgd_avg; + int16_t *src_avg; +} RestSearchCtxt; + +static AOM_INLINE void rsc_on_tile(void *priv) { + RestSearchCtxt *rsc = (RestSearchCtxt *)priv; + set_default_wiener(&rsc->ref_wiener); + set_default_sgrproj(&rsc->ref_sgrproj); + set_default_wiener(&rsc->switchable_ref_wiener); + set_default_sgrproj(&rsc->switchable_ref_sgrproj); +} + +static AOM_INLINE void reset_rsc(RestSearchCtxt *rsc) { + memset(rsc->total_sse, 0, sizeof(rsc->total_sse)); + memset(rsc->total_bits, 0, sizeof(rsc->total_bits)); +} + +static AOM_INLINE void init_rsc(const YV12_BUFFER_CONFIG *src, + const AV1_COMMON *cm, const MACROBLOCK *x, + const LOOP_FILTER_SPEED_FEATURES *lpf_sf, + int plane, RestUnitSearchInfo *rusi, + YV12_BUFFER_CONFIG *dst, RestSearchCtxt *rsc) { + rsc->src = src; + rsc->dst = dst; + rsc->cm = cm; + rsc->x = x; + rsc->plane = plane; + rsc->rusi = rusi; + rsc->lpf_sf = lpf_sf; + + const YV12_BUFFER_CONFIG *dgd = &cm->cur_frame->buf; + const int is_uv = plane != AOM_PLANE_Y; + int plane_w, plane_h; + av1_get_upsampled_plane_size(cm, is_uv, &plane_w, &plane_h); + assert(plane_w == src->crop_widths[is_uv]); + assert(plane_h == src->crop_heights[is_uv]); + assert(src->crop_widths[is_uv] == dgd->crop_widths[is_uv]); + assert(src->crop_heights[is_uv] == dgd->crop_heights[is_uv]); + + rsc->plane_w = plane_w; + rsc->plane_h = plane_h; + rsc->src_buffer = src->buffers[plane]; + rsc->src_stride = src->strides[is_uv]; + rsc->dgd_buffer = dgd->buffers[plane]; + rsc->dgd_stride = dgd->strides[is_uv]; +} + +static int64_t try_restoration_unit(const RestSearchCtxt *rsc, + const RestorationTileLimits *limits, + const RestorationUnitInfo *rui) { + const AV1_COMMON *const cm = rsc->cm; + const int plane = rsc->plane; + const int is_uv = plane > 0; + const RestorationInfo *rsi = &cm->rst_info[plane]; + RestorationLineBuffers rlbs; + const int bit_depth = cm->seq_params->bit_depth; + const int highbd = cm->seq_params->use_highbitdepth; + + const YV12_BUFFER_CONFIG *fts = &cm->cur_frame->buf; + // TODO(yunqing): For now, only use optimized LR filter in decoder. Can be + // also used in encoder. + const int optimized_lr = 0; + + av1_loop_restoration_filter_unit( + limits, rui, &rsi->boundaries, &rlbs, rsc->plane_w, rsc->plane_h, + is_uv && cm->seq_params->subsampling_x, + is_uv && cm->seq_params->subsampling_y, highbd, bit_depth, + fts->buffers[plane], fts->strides[is_uv], rsc->dst->buffers[plane], + rsc->dst->strides[is_uv], cm->rst_tmpbuf, optimized_lr, cm->error); + + return sse_restoration_unit(limits, rsc->src, rsc->dst, plane, highbd); +} + +int64_t av1_lowbd_pixel_proj_error_c(const uint8_t *src8, int width, int height, + int src_stride, const uint8_t *dat8, + int dat_stride, int32_t *flt0, + int flt0_stride, int32_t *flt1, + int flt1_stride, int xq[2], + const sgr_params_type *params) { + int i, j; + const uint8_t *src = src8; + const uint8_t *dat = dat8; + int64_t err = 0; + if (params->r[0] > 0 && params->r[1] > 0) { + for (i = 0; i < height; ++i) { + for (j = 0; j < width; ++j) { + assert(flt1[j] < (1 << 15) && flt1[j] > -(1 << 15)); + assert(flt0[j] < (1 << 15) && flt0[j] > -(1 << 15)); + const int32_t u = (int32_t)(dat[j] << SGRPROJ_RST_BITS); + int32_t v = u << SGRPROJ_PRJ_BITS; + v += xq[0] * (flt0[j] - u) + xq[1] * (flt1[j] - u); + const int32_t e = + ROUND_POWER_OF_TWO(v, SGRPROJ_RST_BITS + SGRPROJ_PRJ_BITS) - src[j]; + err += ((int64_t)e * e); + } + dat += dat_stride; + src += src_stride; + flt0 += flt0_stride; + flt1 += flt1_stride; + } + } else if (params->r[0] > 0) { + for (i = 0; i < height; ++i) { + for (j = 0; j < width; ++j) { + assert(flt0[j] < (1 << 15) && flt0[j] > -(1 << 15)); + const int32_t u = (int32_t)(dat[j] << SGRPROJ_RST_BITS); + int32_t v = u << SGRPROJ_PRJ_BITS; + v += xq[0] * (flt0[j] - u); + const int32_t e = + ROUND_POWER_OF_TWO(v, SGRPROJ_RST_BITS + SGRPROJ_PRJ_BITS) - src[j]; + err += ((int64_t)e * e); + } + dat += dat_stride; + src += src_stride; + flt0 += flt0_stride; + } + } else if (params->r[1] > 0) { + for (i = 0; i < height; ++i) { + for (j = 0; j < width; ++j) { + assert(flt1[j] < (1 << 15) && flt1[j] > -(1 << 15)); + const int32_t u = (int32_t)(dat[j] << SGRPROJ_RST_BITS); + int32_t v = u << SGRPROJ_PRJ_BITS; + v += xq[1] * (flt1[j] - u); + const int32_t e = + ROUND_POWER_OF_TWO(v, SGRPROJ_RST_BITS + SGRPROJ_PRJ_BITS) - src[j]; + err += ((int64_t)e * e); + } + dat += dat_stride; + src += src_stride; + flt1 += flt1_stride; + } + } else { + for (i = 0; i < height; ++i) { + for (j = 0; j < width; ++j) { + const int32_t e = (int32_t)(dat[j]) - src[j]; + err += ((int64_t)e * e); + } + dat += dat_stride; + src += src_stride; + } + } + + return err; +} + +#if CONFIG_AV1_HIGHBITDEPTH +int64_t av1_highbd_pixel_proj_error_c(const uint8_t *src8, int width, + int height, int src_stride, + const uint8_t *dat8, int dat_stride, + int32_t *flt0, int flt0_stride, + int32_t *flt1, int flt1_stride, int xq[2], + const sgr_params_type *params) { + const uint16_t *src = CONVERT_TO_SHORTPTR(src8); + const uint16_t *dat = CONVERT_TO_SHORTPTR(dat8); + int i, j; + int64_t err = 0; + const int32_t half = 1 << (SGRPROJ_RST_BITS + SGRPROJ_PRJ_BITS - 1); + if (params->r[0] > 0 && params->r[1] > 0) { + int xq0 = xq[0]; + int xq1 = xq[1]; + for (i = 0; i < height; ++i) { + for (j = 0; j < width; ++j) { + const int32_t d = dat[j]; + const int32_t s = src[j]; + const int32_t u = (int32_t)(d << SGRPROJ_RST_BITS); + int32_t v0 = flt0[j] - u; + int32_t v1 = flt1[j] - u; + int32_t v = half; + v += xq0 * v0; + v += xq1 * v1; + const int32_t e = (v >> (SGRPROJ_RST_BITS + SGRPROJ_PRJ_BITS)) + d - s; + err += ((int64_t)e * e); + } + dat += dat_stride; + flt0 += flt0_stride; + flt1 += flt1_stride; + src += src_stride; + } + } else if (params->r[0] > 0 || params->r[1] > 0) { + int exq; + int32_t *flt; + int flt_stride; + if (params->r[0] > 0) { + exq = xq[0]; + flt = flt0; + flt_stride = flt0_stride; + } else { + exq = xq[1]; + flt = flt1; + flt_stride = flt1_stride; + } + for (i = 0; i < height; ++i) { + for (j = 0; j < width; ++j) { + const int32_t d = dat[j]; + const int32_t s = src[j]; + const int32_t u = (int32_t)(d << SGRPROJ_RST_BITS); + int32_t v = half; + v += exq * (flt[j] - u); + const int32_t e = (v >> (SGRPROJ_RST_BITS + SGRPROJ_PRJ_BITS)) + d - s; + err += ((int64_t)e * e); + } + dat += dat_stride; + flt += flt_stride; + src += src_stride; + } + } else { + for (i = 0; i < height; ++i) { + for (j = 0; j < width; ++j) { + const int32_t d = dat[j]; + const int32_t s = src[j]; + const int32_t e = d - s; + err += ((int64_t)e * e); + } + dat += dat_stride; + src += src_stride; + } + } + return err; +} +#endif // CONFIG_AV1_HIGHBITDEPTH + +static int64_t get_pixel_proj_error(const uint8_t *src8, int width, int height, + int src_stride, const uint8_t *dat8, + int dat_stride, int use_highbitdepth, + int32_t *flt0, int flt0_stride, + int32_t *flt1, int flt1_stride, int *xqd, + const sgr_params_type *params) { + int xq[2]; + av1_decode_xq(xqd, xq, params); + +#if CONFIG_AV1_HIGHBITDEPTH + if (use_highbitdepth) { + return av1_highbd_pixel_proj_error(src8, width, height, src_stride, dat8, + dat_stride, flt0, flt0_stride, flt1, + flt1_stride, xq, params); + + } else { + return av1_lowbd_pixel_proj_error(src8, width, height, src_stride, dat8, + dat_stride, flt0, flt0_stride, flt1, + flt1_stride, xq, params); + } +#else + (void)use_highbitdepth; + return av1_lowbd_pixel_proj_error(src8, width, height, src_stride, dat8, + dat_stride, flt0, flt0_stride, flt1, + flt1_stride, xq, params); +#endif +} + +#define USE_SGRPROJ_REFINEMENT_SEARCH 1 +static int64_t finer_search_pixel_proj_error( + const uint8_t *src8, int width, int height, int src_stride, + const uint8_t *dat8, int dat_stride, int use_highbitdepth, int32_t *flt0, + int flt0_stride, int32_t *flt1, int flt1_stride, int start_step, int *xqd, + const sgr_params_type *params) { + int64_t err = get_pixel_proj_error( + src8, width, height, src_stride, dat8, dat_stride, use_highbitdepth, flt0, + flt0_stride, flt1, flt1_stride, xqd, params); + (void)start_step; +#if USE_SGRPROJ_REFINEMENT_SEARCH + int64_t err2; + int tap_min[] = { SGRPROJ_PRJ_MIN0, SGRPROJ_PRJ_MIN1 }; + int tap_max[] = { SGRPROJ_PRJ_MAX0, SGRPROJ_PRJ_MAX1 }; + for (int s = start_step; s >= 1; s >>= 1) { + for (int p = 0; p < 2; ++p) { + if ((params->r[0] == 0 && p == 0) || (params->r[1] == 0 && p == 1)) { + continue; + } + int skip = 0; + do { + if (xqd[p] - s >= tap_min[p]) { + xqd[p] -= s; + err2 = + get_pixel_proj_error(src8, width, height, src_stride, dat8, + dat_stride, use_highbitdepth, flt0, + flt0_stride, flt1, flt1_stride, xqd, params); + if (err2 > err) { + xqd[p] += s; + } else { + err = err2; + skip = 1; + // At the highest step size continue moving in the same direction + if (s == start_step) continue; + } + } + break; + } while (1); + if (skip) break; + do { + if (xqd[p] + s <= tap_max[p]) { + xqd[p] += s; + err2 = + get_pixel_proj_error(src8, width, height, src_stride, dat8, + dat_stride, use_highbitdepth, flt0, + flt0_stride, flt1, flt1_stride, xqd, params); + if (err2 > err) { + xqd[p] -= s; + } else { + err = err2; + // At the highest step size continue moving in the same direction + if (s == start_step) continue; + } + } + break; + } while (1); + } + } +#endif // USE_SGRPROJ_REFINEMENT_SEARCH + return err; +} + +static int64_t signed_rounded_divide(int64_t dividend, int64_t divisor) { + if (dividend < 0) + return (dividend - divisor / 2) / divisor; + else + return (dividend + divisor / 2) / divisor; +} + +static AOM_INLINE void calc_proj_params_r0_r1_c( + const uint8_t *src8, int width, int height, int src_stride, + const uint8_t *dat8, int dat_stride, int32_t *flt0, int flt0_stride, + int32_t *flt1, int flt1_stride, int64_t H[2][2], int64_t C[2]) { + const int size = width * height; + const uint8_t *src = src8; + const uint8_t *dat = dat8; + for (int i = 0; i < height; ++i) { + for (int j = 0; j < width; ++j) { + const int32_t u = (int32_t)(dat[i * dat_stride + j] << SGRPROJ_RST_BITS); + const int32_t s = + (int32_t)(src[i * src_stride + j] << SGRPROJ_RST_BITS) - u; + const int32_t f1 = (int32_t)flt0[i * flt0_stride + j] - u; + const int32_t f2 = (int32_t)flt1[i * flt1_stride + j] - u; + H[0][0] += (int64_t)f1 * f1; + H[1][1] += (int64_t)f2 * f2; + H[0][1] += (int64_t)f1 * f2; + C[0] += (int64_t)f1 * s; + C[1] += (int64_t)f2 * s; + } + } + H[0][0] /= size; + H[0][1] /= size; + H[1][1] /= size; + H[1][0] = H[0][1]; + C[0] /= size; + C[1] /= size; +} + +static AOM_INLINE void calc_proj_params_r0_r1_high_bd_c( + const uint8_t *src8, int width, int height, int src_stride, + const uint8_t *dat8, int dat_stride, int32_t *flt0, int flt0_stride, + int32_t *flt1, int flt1_stride, int64_t H[2][2], int64_t C[2]) { + const int size = width * height; + const uint16_t *src = CONVERT_TO_SHORTPTR(src8); + const uint16_t *dat = CONVERT_TO_SHORTPTR(dat8); + for (int i = 0; i < height; ++i) { + for (int j = 0; j < width; ++j) { + const int32_t u = (int32_t)(dat[i * dat_stride + j] << SGRPROJ_RST_BITS); + const int32_t s = + (int32_t)(src[i * src_stride + j] << SGRPROJ_RST_BITS) - u; + const int32_t f1 = (int32_t)flt0[i * flt0_stride + j] - u; + const int32_t f2 = (int32_t)flt1[i * flt1_stride + j] - u; + H[0][0] += (int64_t)f1 * f1; + H[1][1] += (int64_t)f2 * f2; + H[0][1] += (int64_t)f1 * f2; + C[0] += (int64_t)f1 * s; + C[1] += (int64_t)f2 * s; + } + } + H[0][0] /= size; + H[0][1] /= size; + H[1][1] /= size; + H[1][0] = H[0][1]; + C[0] /= size; + C[1] /= size; +} + +static AOM_INLINE void calc_proj_params_r0_c(const uint8_t *src8, int width, + int height, int src_stride, + const uint8_t *dat8, + int dat_stride, int32_t *flt0, + int flt0_stride, int64_t H[2][2], + int64_t C[2]) { + const int size = width * height; + const uint8_t *src = src8; + const uint8_t *dat = dat8; + for (int i = 0; i < height; ++i) { + for (int j = 0; j < width; ++j) { + const int32_t u = (int32_t)(dat[i * dat_stride + j] << SGRPROJ_RST_BITS); + const int32_t s = + (int32_t)(src[i * src_stride + j] << SGRPROJ_RST_BITS) - u; + const int32_t f1 = (int32_t)flt0[i * flt0_stride + j] - u; + H[0][0] += (int64_t)f1 * f1; + C[0] += (int64_t)f1 * s; + } + } + H[0][0] /= size; + C[0] /= size; +} + +static AOM_INLINE void calc_proj_params_r0_high_bd_c( + const uint8_t *src8, int width, int height, int src_stride, + const uint8_t *dat8, int dat_stride, int32_t *flt0, int flt0_stride, + int64_t H[2][2], int64_t C[2]) { + const int size = width * height; + const uint16_t *src = CONVERT_TO_SHORTPTR(src8); + const uint16_t *dat = CONVERT_TO_SHORTPTR(dat8); + for (int i = 0; i < height; ++i) { + for (int j = 0; j < width; ++j) { + const int32_t u = (int32_t)(dat[i * dat_stride + j] << SGRPROJ_RST_BITS); + const int32_t s = + (int32_t)(src[i * src_stride + j] << SGRPROJ_RST_BITS) - u; + const int32_t f1 = (int32_t)flt0[i * flt0_stride + j] - u; + H[0][0] += (int64_t)f1 * f1; + C[0] += (int64_t)f1 * s; + } + } + H[0][0] /= size; + C[0] /= size; +} + +static AOM_INLINE void calc_proj_params_r1_c(const uint8_t *src8, int width, + int height, int src_stride, + const uint8_t *dat8, + int dat_stride, int32_t *flt1, + int flt1_stride, int64_t H[2][2], + int64_t C[2]) { + const int size = width * height; + const uint8_t *src = src8; + const uint8_t *dat = dat8; + for (int i = 0; i < height; ++i) { + for (int j = 0; j < width; ++j) { + const int32_t u = (int32_t)(dat[i * dat_stride + j] << SGRPROJ_RST_BITS); + const int32_t s = + (int32_t)(src[i * src_stride + j] << SGRPROJ_RST_BITS) - u; + const int32_t f2 = (int32_t)flt1[i * flt1_stride + j] - u; + H[1][1] += (int64_t)f2 * f2; + C[1] += (int64_t)f2 * s; + } + } + H[1][1] /= size; + C[1] /= size; +} + +static AOM_INLINE void calc_proj_params_r1_high_bd_c( + const uint8_t *src8, int width, int height, int src_stride, + const uint8_t *dat8, int dat_stride, int32_t *flt1, int flt1_stride, + int64_t H[2][2], int64_t C[2]) { + const int size = width * height; + const uint16_t *src = CONVERT_TO_SHORTPTR(src8); + const uint16_t *dat = CONVERT_TO_SHORTPTR(dat8); + for (int i = 0; i < height; ++i) { + for (int j = 0; j < width; ++j) { + const int32_t u = (int32_t)(dat[i * dat_stride + j] << SGRPROJ_RST_BITS); + const int32_t s = + (int32_t)(src[i * src_stride + j] << SGRPROJ_RST_BITS) - u; + const int32_t f2 = (int32_t)flt1[i * flt1_stride + j] - u; + H[1][1] += (int64_t)f2 * f2; + C[1] += (int64_t)f2 * s; + } + } + H[1][1] /= size; + C[1] /= size; +} + +// The function calls 3 subfunctions for the following cases : +// 1) When params->r[0] > 0 and params->r[1] > 0. In this case all elements +// of C and H need to be computed. +// 2) When only params->r[0] > 0. In this case only H[0][0] and C[0] are +// non-zero and need to be computed. +// 3) When only params->r[1] > 0. In this case only H[1][1] and C[1] are +// non-zero and need to be computed. +void av1_calc_proj_params_c(const uint8_t *src8, int width, int height, + int src_stride, const uint8_t *dat8, int dat_stride, + int32_t *flt0, int flt0_stride, int32_t *flt1, + int flt1_stride, int64_t H[2][2], int64_t C[2], + const sgr_params_type *params) { + if ((params->r[0] > 0) && (params->r[1] > 0)) { + calc_proj_params_r0_r1_c(src8, width, height, src_stride, dat8, dat_stride, + flt0, flt0_stride, flt1, flt1_stride, H, C); + } else if (params->r[0] > 0) { + calc_proj_params_r0_c(src8, width, height, src_stride, dat8, dat_stride, + flt0, flt0_stride, H, C); + } else if (params->r[1] > 0) { + calc_proj_params_r1_c(src8, width, height, src_stride, dat8, dat_stride, + flt1, flt1_stride, H, C); + } +} + +void av1_calc_proj_params_high_bd_c(const uint8_t *src8, int width, int height, + int src_stride, const uint8_t *dat8, + int dat_stride, int32_t *flt0, + int flt0_stride, int32_t *flt1, + int flt1_stride, int64_t H[2][2], + int64_t C[2], + const sgr_params_type *params) { + if ((params->r[0] > 0) && (params->r[1] > 0)) { + calc_proj_params_r0_r1_high_bd_c(src8, width, height, src_stride, dat8, + dat_stride, flt0, flt0_stride, flt1, + flt1_stride, H, C); + } else if (params->r[0] > 0) { + calc_proj_params_r0_high_bd_c(src8, width, height, src_stride, dat8, + dat_stride, flt0, flt0_stride, H, C); + } else if (params->r[1] > 0) { + calc_proj_params_r1_high_bd_c(src8, width, height, src_stride, dat8, + dat_stride, flt1, flt1_stride, H, C); + } +} + +static AOM_INLINE void get_proj_subspace(const uint8_t *src8, int width, + int height, int src_stride, + const uint8_t *dat8, int dat_stride, + int use_highbitdepth, int32_t *flt0, + int flt0_stride, int32_t *flt1, + int flt1_stride, int *xq, + const sgr_params_type *params) { + int64_t H[2][2] = { { 0, 0 }, { 0, 0 } }; + int64_t C[2] = { 0, 0 }; + + // Default values to be returned if the problem becomes ill-posed + xq[0] = 0; + xq[1] = 0; + + if (!use_highbitdepth) { + if ((width & 0x7) == 0) { + av1_calc_proj_params(src8, width, height, src_stride, dat8, dat_stride, + flt0, flt0_stride, flt1, flt1_stride, H, C, params); + } else { + av1_calc_proj_params_c(src8, width, height, src_stride, dat8, dat_stride, + flt0, flt0_stride, flt1, flt1_stride, H, C, + params); + } + } +#if CONFIG_AV1_HIGHBITDEPTH + else { // NOLINT + if ((width & 0x7) == 0) { + av1_calc_proj_params_high_bd(src8, width, height, src_stride, dat8, + dat_stride, flt0, flt0_stride, flt1, + flt1_stride, H, C, params); + } else { + av1_calc_proj_params_high_bd_c(src8, width, height, src_stride, dat8, + dat_stride, flt0, flt0_stride, flt1, + flt1_stride, H, C, params); + } + } +#endif + + if (params->r[0] == 0) { + // H matrix is now only the scalar H[1][1] + // C vector is now only the scalar C[1] + const int64_t Det = H[1][1]; + if (Det == 0) return; // ill-posed, return default values + xq[0] = 0; + xq[1] = (int)signed_rounded_divide(C[1] * (1 << SGRPROJ_PRJ_BITS), Det); + } else if (params->r[1] == 0) { + // H matrix is now only the scalar H[0][0] + // C vector is now only the scalar C[0] + const int64_t Det = H[0][0]; + if (Det == 0) return; // ill-posed, return default values + xq[0] = (int)signed_rounded_divide(C[0] * (1 << SGRPROJ_PRJ_BITS), Det); + xq[1] = 0; + } else { + const int64_t Det = H[0][0] * H[1][1] - H[0][1] * H[1][0]; + if (Det == 0) return; // ill-posed, return default values + + // If scaling up dividend would overflow, instead scale down the divisor + const int64_t div1 = H[1][1] * C[0] - H[0][1] * C[1]; + if ((div1 > 0 && INT64_MAX / (1 << SGRPROJ_PRJ_BITS) < div1) || + (div1 < 0 && INT64_MIN / (1 << SGRPROJ_PRJ_BITS) > div1)) + xq[0] = (int)signed_rounded_divide(div1, Det / (1 << SGRPROJ_PRJ_BITS)); + else + xq[0] = (int)signed_rounded_divide(div1 * (1 << SGRPROJ_PRJ_BITS), Det); + + const int64_t div2 = H[0][0] * C[1] - H[1][0] * C[0]; + if ((div2 > 0 && INT64_MAX / (1 << SGRPROJ_PRJ_BITS) < div2) || + (div2 < 0 && INT64_MIN / (1 << SGRPROJ_PRJ_BITS) > div2)) + xq[1] = (int)signed_rounded_divide(div2, Det / (1 << SGRPROJ_PRJ_BITS)); + else + xq[1] = (int)signed_rounded_divide(div2 * (1 << SGRPROJ_PRJ_BITS), Det); + } +} + +static AOM_INLINE void encode_xq(int *xq, int *xqd, + const sgr_params_type *params) { + if (params->r[0] == 0) { + xqd[0] = 0; + xqd[1] = clamp((1 << SGRPROJ_PRJ_BITS) - xq[1], SGRPROJ_PRJ_MIN1, + SGRPROJ_PRJ_MAX1); + } else if (params->r[1] == 0) { + xqd[0] = clamp(xq[0], SGRPROJ_PRJ_MIN0, SGRPROJ_PRJ_MAX0); + xqd[1] = clamp((1 << SGRPROJ_PRJ_BITS) - xqd[0], SGRPROJ_PRJ_MIN1, + SGRPROJ_PRJ_MAX1); + } else { + xqd[0] = clamp(xq[0], SGRPROJ_PRJ_MIN0, SGRPROJ_PRJ_MAX0); + xqd[1] = clamp((1 << SGRPROJ_PRJ_BITS) - xqd[0] - xq[1], SGRPROJ_PRJ_MIN1, + SGRPROJ_PRJ_MAX1); + } +} + +// Apply the self-guided filter across an entire restoration unit. +static AOM_INLINE void apply_sgr(int sgr_params_idx, const uint8_t *dat8, + int width, int height, int dat_stride, + int use_highbd, int bit_depth, int pu_width, + int pu_height, int32_t *flt0, int32_t *flt1, + int flt_stride, + struct aom_internal_error_info *error_info) { + for (int i = 0; i < height; i += pu_height) { + const int h = AOMMIN(pu_height, height - i); + int32_t *flt0_row = flt0 + i * flt_stride; + int32_t *flt1_row = flt1 + i * flt_stride; + const uint8_t *dat8_row = dat8 + i * dat_stride; + + // Iterate over the stripe in blocks of width pu_width + for (int j = 0; j < width; j += pu_width) { + const int w = AOMMIN(pu_width, width - j); + if (av1_selfguided_restoration( + dat8_row + j, w, h, dat_stride, flt0_row + j, flt1_row + j, + flt_stride, sgr_params_idx, bit_depth, use_highbd) != 0) { + aom_internal_error( + error_info, AOM_CODEC_MEM_ERROR, + "Error allocating buffer in av1_selfguided_restoration"); + } + } + } +} + +static AOM_INLINE void compute_sgrproj_err( + const uint8_t *dat8, const int width, const int height, + const int dat_stride, const uint8_t *src8, const int src_stride, + const int use_highbitdepth, const int bit_depth, const int pu_width, + const int pu_height, const int ep, int32_t *flt0, int32_t *flt1, + const int flt_stride, int *exqd, int64_t *err, + struct aom_internal_error_info *error_info) { + int exq[2]; + apply_sgr(ep, dat8, width, height, dat_stride, use_highbitdepth, bit_depth, + pu_width, pu_height, flt0, flt1, flt_stride, error_info); + const sgr_params_type *const params = &av1_sgr_params[ep]; + get_proj_subspace(src8, width, height, src_stride, dat8, dat_stride, + use_highbitdepth, flt0, flt_stride, flt1, flt_stride, exq, + params); + encode_xq(exq, exqd, params); + *err = finer_search_pixel_proj_error( + src8, width, height, src_stride, dat8, dat_stride, use_highbitdepth, flt0, + flt_stride, flt1, flt_stride, 2, exqd, params); +} + +static AOM_INLINE void get_best_error(int64_t *besterr, const int64_t err, + const int *exqd, int *bestxqd, + int *bestep, const int ep) { + if (*besterr == -1 || err < *besterr) { + *bestep = ep; + *besterr = err; + bestxqd[0] = exqd[0]; + bestxqd[1] = exqd[1]; + } +} + +static SgrprojInfo search_selfguided_restoration( + const uint8_t *dat8, int width, int height, int dat_stride, + const uint8_t *src8, int src_stride, int use_highbitdepth, int bit_depth, + int pu_width, int pu_height, int32_t *rstbuf, int enable_sgr_ep_pruning, + struct aom_internal_error_info *error_info) { + int32_t *flt0 = rstbuf; + int32_t *flt1 = flt0 + RESTORATION_UNITPELS_MAX; + int ep, idx, bestep = 0; + int64_t besterr = -1; + int exqd[2], bestxqd[2] = { 0, 0 }; + int flt_stride = ((width + 7) & ~7) + 8; + assert(pu_width == (RESTORATION_PROC_UNIT_SIZE >> 1) || + pu_width == RESTORATION_PROC_UNIT_SIZE); + assert(pu_height == (RESTORATION_PROC_UNIT_SIZE >> 1) || + pu_height == RESTORATION_PROC_UNIT_SIZE); + if (!enable_sgr_ep_pruning) { + for (ep = 0; ep < SGRPROJ_PARAMS; ep++) { + int64_t err; + compute_sgrproj_err(dat8, width, height, dat_stride, src8, src_stride, + use_highbitdepth, bit_depth, pu_width, pu_height, ep, + flt0, flt1, flt_stride, exqd, &err, error_info); + get_best_error(&besterr, err, exqd, bestxqd, &bestep, ep); + } + } else { + // evaluate first four seed ep in first group + for (idx = 0; idx < SGRPROJ_EP_GRP1_SEARCH_COUNT; idx++) { + ep = sgproj_ep_grp1_seed[idx]; + int64_t err; + compute_sgrproj_err(dat8, width, height, dat_stride, src8, src_stride, + use_highbitdepth, bit_depth, pu_width, pu_height, ep, + flt0, flt1, flt_stride, exqd, &err, error_info); + get_best_error(&besterr, err, exqd, bestxqd, &bestep, ep); + } + // evaluate left and right ep of winner in seed ep + int bestep_ref = bestep; + for (ep = bestep_ref - 1; ep < bestep_ref + 2; ep += 2) { + if (ep < SGRPROJ_EP_GRP1_START_IDX || ep > SGRPROJ_EP_GRP1_END_IDX) + continue; + int64_t err; + compute_sgrproj_err(dat8, width, height, dat_stride, src8, src_stride, + use_highbitdepth, bit_depth, pu_width, pu_height, ep, + flt0, flt1, flt_stride, exqd, &err, error_info); + get_best_error(&besterr, err, exqd, bestxqd, &bestep, ep); + } + // evaluate last two group + for (idx = 0; idx < SGRPROJ_EP_GRP2_3_SEARCH_COUNT; idx++) { + ep = sgproj_ep_grp2_3[idx][bestep]; + int64_t err; + compute_sgrproj_err(dat8, width, height, dat_stride, src8, src_stride, + use_highbitdepth, bit_depth, pu_width, pu_height, ep, + flt0, flt1, flt_stride, exqd, &err, error_info); + get_best_error(&besterr, err, exqd, bestxqd, &bestep, ep); + } + } + + SgrprojInfo ret; + ret.ep = bestep; + ret.xqd[0] = bestxqd[0]; + ret.xqd[1] = bestxqd[1]; + return ret; +} + +static int count_sgrproj_bits(SgrprojInfo *sgrproj_info, + SgrprojInfo *ref_sgrproj_info) { + int bits = SGRPROJ_PARAMS_BITS; + const sgr_params_type *params = &av1_sgr_params[sgrproj_info->ep]; + if (params->r[0] > 0) + bits += aom_count_primitive_refsubexpfin( + SGRPROJ_PRJ_MAX0 - SGRPROJ_PRJ_MIN0 + 1, SGRPROJ_PRJ_SUBEXP_K, + ref_sgrproj_info->xqd[0] - SGRPROJ_PRJ_MIN0, + sgrproj_info->xqd[0] - SGRPROJ_PRJ_MIN0); + if (params->r[1] > 0) + bits += aom_count_primitive_refsubexpfin( + SGRPROJ_PRJ_MAX1 - SGRPROJ_PRJ_MIN1 + 1, SGRPROJ_PRJ_SUBEXP_K, + ref_sgrproj_info->xqd[1] - SGRPROJ_PRJ_MIN1, + sgrproj_info->xqd[1] - SGRPROJ_PRJ_MIN1); + return bits; +} + +static AOM_INLINE void search_sgrproj( + const RestorationTileLimits *limits, int rest_unit_idx, void *priv, + int32_t *tmpbuf, RestorationLineBuffers *rlbs, + struct aom_internal_error_info *error_info) { + (void)rlbs; + RestSearchCtxt *rsc = (RestSearchCtxt *)priv; + RestUnitSearchInfo *rusi = &rsc->rusi[rest_unit_idx]; + + const MACROBLOCK *const x = rsc->x; + const AV1_COMMON *const cm = rsc->cm; + const int highbd = cm->seq_params->use_highbitdepth; + const int bit_depth = cm->seq_params->bit_depth; + + const int64_t bits_none = x->mode_costs.sgrproj_restore_cost[0]; + // Prune evaluation of RESTORE_SGRPROJ if 'skip_sgr_eval' is set + if (rsc->skip_sgr_eval) { + rsc->total_bits[RESTORE_SGRPROJ] += bits_none; + rsc->total_sse[RESTORE_SGRPROJ] += rsc->sse[RESTORE_NONE]; + rusi->best_rtype[RESTORE_SGRPROJ - 1] = RESTORE_NONE; + rsc->sse[RESTORE_SGRPROJ] = INT64_MAX; + return; + } + + uint8_t *dgd_start = + rsc->dgd_buffer + limits->v_start * rsc->dgd_stride + limits->h_start; + const uint8_t *src_start = + rsc->src_buffer + limits->v_start * rsc->src_stride + limits->h_start; + + const int is_uv = rsc->plane > 0; + const int ss_x = is_uv && cm->seq_params->subsampling_x; + const int ss_y = is_uv && cm->seq_params->subsampling_y; + const int procunit_width = RESTORATION_PROC_UNIT_SIZE >> ss_x; + const int procunit_height = RESTORATION_PROC_UNIT_SIZE >> ss_y; + + rusi->sgrproj = search_selfguided_restoration( + dgd_start, limits->h_end - limits->h_start, + limits->v_end - limits->v_start, rsc->dgd_stride, src_start, + rsc->src_stride, highbd, bit_depth, procunit_width, procunit_height, + tmpbuf, rsc->lpf_sf->enable_sgr_ep_pruning, error_info); + + RestorationUnitInfo rui; + rui.restoration_type = RESTORE_SGRPROJ; + rui.sgrproj_info = rusi->sgrproj; + + rsc->sse[RESTORE_SGRPROJ] = try_restoration_unit(rsc, limits, &rui); + + const int64_t bits_sgr = + x->mode_costs.sgrproj_restore_cost[1] + + (count_sgrproj_bits(&rusi->sgrproj, &rsc->ref_sgrproj) + << AV1_PROB_COST_SHIFT); + double cost_none = RDCOST_DBL_WITH_NATIVE_BD_DIST( + x->rdmult, bits_none >> 4, rsc->sse[RESTORE_NONE], bit_depth); + double cost_sgr = RDCOST_DBL_WITH_NATIVE_BD_DIST( + x->rdmult, bits_sgr >> 4, rsc->sse[RESTORE_SGRPROJ], bit_depth); + if (rusi->sgrproj.ep < 10) + cost_sgr *= + (1 + DUAL_SGR_PENALTY_MULT * rsc->lpf_sf->dual_sgr_penalty_level); + + RestorationType rtype = + (cost_sgr < cost_none) ? RESTORE_SGRPROJ : RESTORE_NONE; + rusi->best_rtype[RESTORE_SGRPROJ - 1] = rtype; + +#if DEBUG_LR_COSTING + // Store ref params for later checking + lr_ref_params[RESTORE_SGRPROJ][rsc->plane][rest_unit_idx].sgrproj_info = + rsc->ref_sgrproj; +#endif // DEBUG_LR_COSTING + + rsc->total_sse[RESTORE_SGRPROJ] += rsc->sse[rtype]; + rsc->total_bits[RESTORE_SGRPROJ] += + (cost_sgr < cost_none) ? bits_sgr : bits_none; + if (cost_sgr < cost_none) rsc->ref_sgrproj = rusi->sgrproj; +} + +static void acc_stat_one_line(const uint8_t *dgd, const uint8_t *src, + int dgd_stride, int h_start, int h_end, + uint8_t avg, const int wiener_halfwin, + const int wiener_win2, int32_t *M_int32, + int32_t *H_int32, int count) { + int j, k, l; + int16_t Y[WIENER_WIN2]; + + for (j = h_start; j < h_end; j++) { + const int16_t X = (int16_t)src[j] - (int16_t)avg; + int idx = 0; + for (k = -wiener_halfwin; k <= wiener_halfwin; k++) { + for (l = -wiener_halfwin; l <= wiener_halfwin; l++) { + Y[idx] = + (int16_t)dgd[(count + l) * dgd_stride + (j + k)] - (int16_t)avg; + idx++; + } + } + assert(idx == wiener_win2); + for (k = 0; k < wiener_win2; ++k) { + M_int32[k] += (int32_t)Y[k] * X; + for (l = k; l < wiener_win2; ++l) { + // H is a symmetric matrix, so we only need to fill out the upper + // triangle here. We can copy it down to the lower triangle outside + // the (i, j) loops. + H_int32[k * wiener_win2 + l] += (int32_t)Y[k] * Y[l]; + } + } + } +} + +void av1_compute_stats_c(int wiener_win, const uint8_t *dgd, const uint8_t *src, + int16_t *dgd_avg, int16_t *src_avg, int h_start, + int h_end, int v_start, int v_end, int dgd_stride, + int src_stride, int64_t *M, int64_t *H, + int use_downsampled_wiener_stats) { + (void)dgd_avg; + (void)src_avg; + int i, k, l; + const int wiener_win2 = wiener_win * wiener_win; + const int wiener_halfwin = (wiener_win >> 1); + uint8_t avg = find_average(dgd, h_start, h_end, v_start, v_end, dgd_stride); + int32_t M_row[WIENER_WIN2] = { 0 }; + int32_t H_row[WIENER_WIN2 * WIENER_WIN2] = { 0 }; + int downsample_factor = + use_downsampled_wiener_stats ? WIENER_STATS_DOWNSAMPLE_FACTOR : 1; + + memset(M, 0, sizeof(*M) * wiener_win2); + memset(H, 0, sizeof(*H) * wiener_win2 * wiener_win2); + + for (i = v_start; i < v_end; i = i + downsample_factor) { + if (use_downsampled_wiener_stats && + (v_end - i < WIENER_STATS_DOWNSAMPLE_FACTOR)) { + downsample_factor = v_end - i; + } + + memset(M_row, 0, sizeof(int32_t) * WIENER_WIN2); + memset(H_row, 0, sizeof(int32_t) * WIENER_WIN2 * WIENER_WIN2); + acc_stat_one_line(dgd, src + i * src_stride, dgd_stride, h_start, h_end, + avg, wiener_halfwin, wiener_win2, M_row, H_row, i); + + for (k = 0; k < wiener_win2; ++k) { + // Scale M matrix based on the downsampling factor + M[k] += ((int64_t)M_row[k] * downsample_factor); + for (l = k; l < wiener_win2; ++l) { + // H is a symmetric matrix, so we only need to fill out the upper + // triangle here. We can copy it down to the lower triangle outside + // the (i, j) loops. + // Scale H Matrix based on the downsampling factor + H[k * wiener_win2 + l] += + ((int64_t)H_row[k * wiener_win2 + l] * downsample_factor); + } + } + } + + for (k = 0; k < wiener_win2; ++k) { + for (l = k + 1; l < wiener_win2; ++l) { + H[l * wiener_win2 + k] = H[k * wiener_win2 + l]; + } + } +} + +#if CONFIG_AV1_HIGHBITDEPTH +void av1_compute_stats_highbd_c(int wiener_win, const uint8_t *dgd8, + const uint8_t *src8, int h_start, int h_end, + int v_start, int v_end, int dgd_stride, + int src_stride, int64_t *M, int64_t *H, + aom_bit_depth_t bit_depth) { + int i, j, k, l; + int32_t Y[WIENER_WIN2]; + const int wiener_win2 = wiener_win * wiener_win; + const int wiener_halfwin = (wiener_win >> 1); + const uint16_t *src = CONVERT_TO_SHORTPTR(src8); + const uint16_t *dgd = CONVERT_TO_SHORTPTR(dgd8); + uint16_t avg = + find_average_highbd(dgd, h_start, h_end, v_start, v_end, dgd_stride); + + uint8_t bit_depth_divider = 1; + if (bit_depth == AOM_BITS_12) + bit_depth_divider = 16; + else if (bit_depth == AOM_BITS_10) + bit_depth_divider = 4; + + memset(M, 0, sizeof(*M) * wiener_win2); + memset(H, 0, sizeof(*H) * wiener_win2 * wiener_win2); + for (i = v_start; i < v_end; i++) { + for (j = h_start; j < h_end; j++) { + const int32_t X = (int32_t)src[i * src_stride + j] - (int32_t)avg; + int idx = 0; + for (k = -wiener_halfwin; k <= wiener_halfwin; k++) { + for (l = -wiener_halfwin; l <= wiener_halfwin; l++) { + Y[idx] = (int32_t)dgd[(i + l) * dgd_stride + (j + k)] - (int32_t)avg; + idx++; + } + } + assert(idx == wiener_win2); + for (k = 0; k < wiener_win2; ++k) { + M[k] += (int64_t)Y[k] * X; + for (l = k; l < wiener_win2; ++l) { + // H is a symmetric matrix, so we only need to fill out the upper + // triangle here. We can copy it down to the lower triangle outside + // the (i, j) loops. + H[k * wiener_win2 + l] += (int64_t)Y[k] * Y[l]; + } + } + } + } + for (k = 0; k < wiener_win2; ++k) { + M[k] /= bit_depth_divider; + H[k * wiener_win2 + k] /= bit_depth_divider; + for (l = k + 1; l < wiener_win2; ++l) { + H[k * wiener_win2 + l] /= bit_depth_divider; + H[l * wiener_win2 + k] = H[k * wiener_win2 + l]; + } + } +} +#endif // CONFIG_AV1_HIGHBITDEPTH + +static INLINE int wrap_index(int i, int wiener_win) { + const int wiener_halfwin1 = (wiener_win >> 1) + 1; + return (i >= wiener_halfwin1 ? wiener_win - 1 - i : i); +} + +// Solve linear equations to find Wiener filter tap values +// Taps are output scaled by WIENER_FILT_STEP +static int linsolve_wiener(int n, int64_t *A, int stride, int64_t *b, + int64_t *x) { + for (int k = 0; k < n - 1; k++) { + // Partial pivoting: bring the row with the largest pivot to the top + for (int i = n - 1; i > k; i--) { + // If row i has a better (bigger) pivot than row (i-1), swap them + if (llabs(A[(i - 1) * stride + k]) < llabs(A[i * stride + k])) { + for (int j = 0; j < n; j++) { + const int64_t c = A[i * stride + j]; + A[i * stride + j] = A[(i - 1) * stride + j]; + A[(i - 1) * stride + j] = c; + } + const int64_t c = b[i]; + b[i] = b[i - 1]; + b[i - 1] = c; + } + } + + // b/278065963: The multiplies + // c / 256 * A[k * stride + j] / cd * 256 + // and + // c / 256 * b[k] / cd * 256 + // within Gaussian elimination can cause a signed integer overflow. Rework + // the multiplies so that larger scaling is used without significantly + // impacting the overall precision. + // + // Precision guidance: + // scale_threshold: Pick as high as possible. + // For max_abs_akj >= scale_threshold scenario: + // scaler_A: Pick as low as possible. Needed for A[(i + 1) * stride + j]. + // scaler_c: Pick as low as possible while maintaining scaler_c >= + // (1 << 7). Needed for A[(i + 1) * stride + j] and b[i + 1]. + int64_t max_abs_akj = 0; + for (int j = 0; j < n; j++) { + const int64_t abs_akj = llabs(A[k * stride + j]); + if (abs_akj > max_abs_akj) max_abs_akj = abs_akj; + } + const int scale_threshold = 1 << 22; + const int scaler_A = max_abs_akj < scale_threshold ? 1 : (1 << 5); + const int scaler_c = max_abs_akj < scale_threshold ? 1 : (1 << 7); + const int scaler = scaler_c * scaler_A; + + // Forward elimination (convert A to row-echelon form) + for (int i = k; i < n - 1; i++) { + if (A[k * stride + k] == 0) return 0; + const int64_t c = A[(i + 1) * stride + k] / scaler_c; + const int64_t cd = A[k * stride + k]; + for (int j = 0; j < n; j++) { + A[(i + 1) * stride + j] -= + A[k * stride + j] / scaler_A * c / cd * scaler; + } + b[i + 1] -= c * b[k] / cd * scaler_c; + } + } + // Back-substitution + for (int i = n - 1; i >= 0; i--) { + if (A[i * stride + i] == 0) return 0; + int64_t c = 0; + for (int j = i + 1; j <= n - 1; j++) { + c += A[i * stride + j] * x[j] / WIENER_TAP_SCALE_FACTOR; + } + // Store filter taps x in scaled form. + x[i] = WIENER_TAP_SCALE_FACTOR * (b[i] - c) / A[i * stride + i]; + } + + return 1; +} + +// Fix vector b, update vector a +static AOM_INLINE void update_a_sep_sym(int wiener_win, int64_t **Mc, + int64_t **Hc, int32_t *a, int32_t *b) { + int i, j; + int64_t S[WIENER_WIN]; + int64_t A[WIENER_HALFWIN1], B[WIENER_HALFWIN1 * WIENER_HALFWIN1]; + const int wiener_win2 = wiener_win * wiener_win; + const int wiener_halfwin1 = (wiener_win >> 1) + 1; + memset(A, 0, sizeof(A)); + memset(B, 0, sizeof(B)); + for (i = 0; i < wiener_win; i++) { + for (j = 0; j < wiener_win; ++j) { + const int jj = wrap_index(j, wiener_win); + A[jj] += Mc[i][j] * b[i] / WIENER_TAP_SCALE_FACTOR; + } + } + + // b/274668506: This is the dual branch for the issue in b/272139363. The fix + // is similar. See comments in update_b_sep_sym() below. + int32_t max_b_l = 0; + for (int l = 0; l < wiener_win; ++l) { + const int32_t abs_b_l = abs(b[l]); + if (abs_b_l > max_b_l) max_b_l = abs_b_l; + } + const int scale_threshold = 128 * WIENER_TAP_SCALE_FACTOR; + const int scaler = max_b_l < scale_threshold ? 1 : 4; + + for (i = 0; i < wiener_win; i++) { + for (j = 0; j < wiener_win; j++) { + int k, l; + for (k = 0; k < wiener_win; ++k) { + const int kk = wrap_index(k, wiener_win); + for (l = 0; l < wiener_win; ++l) { + const int ll = wrap_index(l, wiener_win); + B[ll * wiener_halfwin1 + kk] += + Hc[j * wiener_win + i][k * wiener_win2 + l] * b[i] / + (scaler * WIENER_TAP_SCALE_FACTOR) * b[j] / + (WIENER_TAP_SCALE_FACTOR / scaler); + } + } + } + } + // Normalization enforcement in the system of equations itself + for (i = 0; i < wiener_halfwin1 - 1; ++i) { + A[i] -= + A[wiener_halfwin1 - 1] * 2 + + B[i * wiener_halfwin1 + wiener_halfwin1 - 1] - + 2 * B[(wiener_halfwin1 - 1) * wiener_halfwin1 + (wiener_halfwin1 - 1)]; + } + for (i = 0; i < wiener_halfwin1 - 1; ++i) { + for (j = 0; j < wiener_halfwin1 - 1; ++j) { + B[i * wiener_halfwin1 + j] -= + 2 * (B[i * wiener_halfwin1 + (wiener_halfwin1 - 1)] + + B[(wiener_halfwin1 - 1) * wiener_halfwin1 + j] - + 2 * B[(wiener_halfwin1 - 1) * wiener_halfwin1 + + (wiener_halfwin1 - 1)]); + } + } + if (linsolve_wiener(wiener_halfwin1 - 1, B, wiener_halfwin1, A, S)) { + S[wiener_halfwin1 - 1] = WIENER_TAP_SCALE_FACTOR; + for (i = wiener_halfwin1; i < wiener_win; ++i) { + S[i] = S[wiener_win - 1 - i]; + S[wiener_halfwin1 - 1] -= 2 * S[i]; + } + for (i = 0; i < wiener_win; ++i) { + a[i] = (int32_t)CLIP(S[i], -(1 << (WIENER_FILT_BITS - 1)), + (1 << (WIENER_FILT_BITS - 1)) - 1); + } + } +} + +// Fix vector a, update vector b +static AOM_INLINE void update_b_sep_sym(int wiener_win, int64_t **Mc, + int64_t **Hc, int32_t *a, int32_t *b) { + int i, j; + int64_t S[WIENER_WIN]; + int64_t A[WIENER_HALFWIN1], B[WIENER_HALFWIN1 * WIENER_HALFWIN1]; + const int wiener_win2 = wiener_win * wiener_win; + const int wiener_halfwin1 = (wiener_win >> 1) + 1; + memset(A, 0, sizeof(A)); + memset(B, 0, sizeof(B)); + for (i = 0; i < wiener_win; i++) { + const int ii = wrap_index(i, wiener_win); + for (j = 0; j < wiener_win; j++) { + A[ii] += Mc[i][j] * a[j] / WIENER_TAP_SCALE_FACTOR; + } + } + + // b/272139363: The computation, + // Hc[i * wiener_win + j][k * wiener_win2 + l] * a[k] / + // WIENER_TAP_SCALE_FACTOR * a[l] / WIENER_TAP_SCALE_FACTOR; + // may generate a signed-integer-overflow. Conditionally scale the terms to + // avoid a potential overflow. + // + // Hc contains accumulated correlation statistics and it is desired to leave + // as much room as possible for Hc. It was experimentally observed that the + // primary issue manifests itself with the second, a[l], multiply. For + // max_a_l < WIENER_TAP_SCALE_FACTOR the first multiply with a[k] should not + // increase dynamic range and the second multiply should hence be safe. + // Thereafter a safe scale_threshold depends on the actual operational range + // of Hc. The largest scale_threshold is expected to depend on bit-depth + // (av1_compute_stats_highbd_c() scales highbd to 8-bit) and maximum + // restoration-unit size (256), leading up to 32-bit positive numbers in Hc. + // Noting that the caller, wiener_decompose_sep_sym(), initializes a[...] + // to a range smaller than 16 bits, the scale_threshold is set as below for + // convenience. + int32_t max_a_l = 0; + for (int l = 0; l < wiener_win; ++l) { + const int32_t abs_a_l = abs(a[l]); + if (abs_a_l > max_a_l) max_a_l = abs_a_l; + } + const int scale_threshold = 128 * WIENER_TAP_SCALE_FACTOR; + const int scaler = max_a_l < scale_threshold ? 1 : 4; + + for (i = 0; i < wiener_win; i++) { + const int ii = wrap_index(i, wiener_win); + for (j = 0; j < wiener_win; j++) { + const int jj = wrap_index(j, wiener_win); + int k, l; + for (k = 0; k < wiener_win; ++k) { + for (l = 0; l < wiener_win; ++l) { + B[jj * wiener_halfwin1 + ii] += + Hc[i * wiener_win + j][k * wiener_win2 + l] * a[k] / + (scaler * WIENER_TAP_SCALE_FACTOR) * a[l] / + (WIENER_TAP_SCALE_FACTOR / scaler); + } + } + } + } + // Normalization enforcement in the system of equations itself + for (i = 0; i < wiener_halfwin1 - 1; ++i) { + A[i] -= + A[wiener_halfwin1 - 1] * 2 + + B[i * wiener_halfwin1 + wiener_halfwin1 - 1] - + 2 * B[(wiener_halfwin1 - 1) * wiener_halfwin1 + (wiener_halfwin1 - 1)]; + } + for (i = 0; i < wiener_halfwin1 - 1; ++i) { + for (j = 0; j < wiener_halfwin1 - 1; ++j) { + B[i * wiener_halfwin1 + j] -= + 2 * (B[i * wiener_halfwin1 + (wiener_halfwin1 - 1)] + + B[(wiener_halfwin1 - 1) * wiener_halfwin1 + j] - + 2 * B[(wiener_halfwin1 - 1) * wiener_halfwin1 + + (wiener_halfwin1 - 1)]); + } + } + if (linsolve_wiener(wiener_halfwin1 - 1, B, wiener_halfwin1, A, S)) { + S[wiener_halfwin1 - 1] = WIENER_TAP_SCALE_FACTOR; + for (i = wiener_halfwin1; i < wiener_win; ++i) { + S[i] = S[wiener_win - 1 - i]; + S[wiener_halfwin1 - 1] -= 2 * S[i]; + } + for (i = 0; i < wiener_win; ++i) { + b[i] = (int32_t)CLIP(S[i], -(1 << (WIENER_FILT_BITS - 1)), + (1 << (WIENER_FILT_BITS - 1)) - 1); + } + } +} + +static void wiener_decompose_sep_sym(int wiener_win, int64_t *M, int64_t *H, + int32_t *a, int32_t *b) { + static const int32_t init_filt[WIENER_WIN] = { + WIENER_FILT_TAP0_MIDV, WIENER_FILT_TAP1_MIDV, WIENER_FILT_TAP2_MIDV, + WIENER_FILT_TAP3_MIDV, WIENER_FILT_TAP2_MIDV, WIENER_FILT_TAP1_MIDV, + WIENER_FILT_TAP0_MIDV, + }; + int64_t *Hc[WIENER_WIN2]; + int64_t *Mc[WIENER_WIN]; + int i, j, iter; + const int plane_off = (WIENER_WIN - wiener_win) >> 1; + const int wiener_win2 = wiener_win * wiener_win; + for (i = 0; i < wiener_win; i++) { + a[i] = b[i] = + WIENER_TAP_SCALE_FACTOR / WIENER_FILT_STEP * init_filt[i + plane_off]; + } + for (i = 0; i < wiener_win; i++) { + Mc[i] = M + i * wiener_win; + for (j = 0; j < wiener_win; j++) { + Hc[i * wiener_win + j] = + H + i * wiener_win * wiener_win2 + j * wiener_win; + } + } + + iter = 1; + while (iter < NUM_WIENER_ITERS) { + update_a_sep_sym(wiener_win, Mc, Hc, a, b); + update_b_sep_sym(wiener_win, Mc, Hc, a, b); + iter++; + } +} + +// Computes the function x'*H*x - x'*M for the learned 2D filter x, and compares +// against identity filters; Final score is defined as the difference between +// the function values +static int64_t compute_score(int wiener_win, int64_t *M, int64_t *H, + InterpKernel vfilt, InterpKernel hfilt) { + int32_t ab[WIENER_WIN * WIENER_WIN]; + int16_t a[WIENER_WIN], b[WIENER_WIN]; + int64_t P = 0, Q = 0; + int64_t iP = 0, iQ = 0; + int64_t Score, iScore; + int i, k, l; + const int plane_off = (WIENER_WIN - wiener_win) >> 1; + const int wiener_win2 = wiener_win * wiener_win; + + a[WIENER_HALFWIN] = b[WIENER_HALFWIN] = WIENER_FILT_STEP; + for (i = 0; i < WIENER_HALFWIN; ++i) { + a[i] = a[WIENER_WIN - i - 1] = vfilt[i]; + b[i] = b[WIENER_WIN - i - 1] = hfilt[i]; + a[WIENER_HALFWIN] -= 2 * a[i]; + b[WIENER_HALFWIN] -= 2 * b[i]; + } + memset(ab, 0, sizeof(ab)); + for (k = 0; k < wiener_win; ++k) { + for (l = 0; l < wiener_win; ++l) + ab[k * wiener_win + l] = a[l + plane_off] * b[k + plane_off]; + } + for (k = 0; k < wiener_win2; ++k) { + P += ab[k] * M[k] / WIENER_FILT_STEP / WIENER_FILT_STEP; + for (l = 0; l < wiener_win2; ++l) { + Q += ab[k] * H[k * wiener_win2 + l] * ab[l] / WIENER_FILT_STEP / + WIENER_FILT_STEP / WIENER_FILT_STEP / WIENER_FILT_STEP; + } + } + Score = Q - 2 * P; + + iP = M[wiener_win2 >> 1]; + iQ = H[(wiener_win2 >> 1) * wiener_win2 + (wiener_win2 >> 1)]; + iScore = iQ - 2 * iP; + + return Score - iScore; +} + +static AOM_INLINE void finalize_sym_filter(int wiener_win, int32_t *f, + InterpKernel fi) { + int i; + const int wiener_halfwin = (wiener_win >> 1); + + for (i = 0; i < wiener_halfwin; ++i) { + const int64_t dividend = (int64_t)f[i] * WIENER_FILT_STEP; + const int64_t divisor = WIENER_TAP_SCALE_FACTOR; + // Perform this division with proper rounding rather than truncation + if (dividend < 0) { + fi[i] = (int16_t)((dividend - (divisor / 2)) / divisor); + } else { + fi[i] = (int16_t)((dividend + (divisor / 2)) / divisor); + } + } + // Specialize for 7-tap filter + if (wiener_win == WIENER_WIN) { + fi[0] = CLIP(fi[0], WIENER_FILT_TAP0_MINV, WIENER_FILT_TAP0_MAXV); + fi[1] = CLIP(fi[1], WIENER_FILT_TAP1_MINV, WIENER_FILT_TAP1_MAXV); + fi[2] = CLIP(fi[2], WIENER_FILT_TAP2_MINV, WIENER_FILT_TAP2_MAXV); + } else { + fi[2] = CLIP(fi[1], WIENER_FILT_TAP2_MINV, WIENER_FILT_TAP2_MAXV); + fi[1] = CLIP(fi[0], WIENER_FILT_TAP1_MINV, WIENER_FILT_TAP1_MAXV); + fi[0] = 0; + } + // Satisfy filter constraints + fi[WIENER_WIN - 1] = fi[0]; + fi[WIENER_WIN - 2] = fi[1]; + fi[WIENER_WIN - 3] = fi[2]; + // The central element has an implicit +WIENER_FILT_STEP + fi[3] = -2 * (fi[0] + fi[1] + fi[2]); +} + +static int count_wiener_bits(int wiener_win, WienerInfo *wiener_info, + WienerInfo *ref_wiener_info) { + int bits = 0; + if (wiener_win == WIENER_WIN) + bits += aom_count_primitive_refsubexpfin( + WIENER_FILT_TAP0_MAXV - WIENER_FILT_TAP0_MINV + 1, + WIENER_FILT_TAP0_SUBEXP_K, + ref_wiener_info->vfilter[0] - WIENER_FILT_TAP0_MINV, + wiener_info->vfilter[0] - WIENER_FILT_TAP0_MINV); + bits += aom_count_primitive_refsubexpfin( + WIENER_FILT_TAP1_MAXV - WIENER_FILT_TAP1_MINV + 1, + WIENER_FILT_TAP1_SUBEXP_K, + ref_wiener_info->vfilter[1] - WIENER_FILT_TAP1_MINV, + wiener_info->vfilter[1] - WIENER_FILT_TAP1_MINV); + bits += aom_count_primitive_refsubexpfin( + WIENER_FILT_TAP2_MAXV - WIENER_FILT_TAP2_MINV + 1, + WIENER_FILT_TAP2_SUBEXP_K, + ref_wiener_info->vfilter[2] - WIENER_FILT_TAP2_MINV, + wiener_info->vfilter[2] - WIENER_FILT_TAP2_MINV); + if (wiener_win == WIENER_WIN) + bits += aom_count_primitive_refsubexpfin( + WIENER_FILT_TAP0_MAXV - WIENER_FILT_TAP0_MINV + 1, + WIENER_FILT_TAP0_SUBEXP_K, + ref_wiener_info->hfilter[0] - WIENER_FILT_TAP0_MINV, + wiener_info->hfilter[0] - WIENER_FILT_TAP0_MINV); + bits += aom_count_primitive_refsubexpfin( + WIENER_FILT_TAP1_MAXV - WIENER_FILT_TAP1_MINV + 1, + WIENER_FILT_TAP1_SUBEXP_K, + ref_wiener_info->hfilter[1] - WIENER_FILT_TAP1_MINV, + wiener_info->hfilter[1] - WIENER_FILT_TAP1_MINV); + bits += aom_count_primitive_refsubexpfin( + WIENER_FILT_TAP2_MAXV - WIENER_FILT_TAP2_MINV + 1, + WIENER_FILT_TAP2_SUBEXP_K, + ref_wiener_info->hfilter[2] - WIENER_FILT_TAP2_MINV, + wiener_info->hfilter[2] - WIENER_FILT_TAP2_MINV); + return bits; +} + +static int64_t finer_search_wiener(const RestSearchCtxt *rsc, + const RestorationTileLimits *limits, + RestorationUnitInfo *rui, int wiener_win) { + const int plane_off = (WIENER_WIN - wiener_win) >> 1; + int64_t err = try_restoration_unit(rsc, limits, rui); + + if (rsc->lpf_sf->disable_wiener_coeff_refine_search) return err; + + // Refinement search around the wiener filter coefficients. + int64_t err2; + int tap_min[] = { WIENER_FILT_TAP0_MINV, WIENER_FILT_TAP1_MINV, + WIENER_FILT_TAP2_MINV }; + int tap_max[] = { WIENER_FILT_TAP0_MAXV, WIENER_FILT_TAP1_MAXV, + WIENER_FILT_TAP2_MAXV }; + + WienerInfo *plane_wiener = &rui->wiener_info; + + // printf("err pre = %"PRId64"\n", err); + const int start_step = 4; + for (int s = start_step; s >= 1; s >>= 1) { + for (int p = plane_off; p < WIENER_HALFWIN; ++p) { + int skip = 0; + do { + if (plane_wiener->hfilter[p] - s >= tap_min[p]) { + plane_wiener->hfilter[p] -= s; + plane_wiener->hfilter[WIENER_WIN - p - 1] -= s; + plane_wiener->hfilter[WIENER_HALFWIN] += 2 * s; + err2 = try_restoration_unit(rsc, limits, rui); + if (err2 > err) { + plane_wiener->hfilter[p] += s; + plane_wiener->hfilter[WIENER_WIN - p - 1] += s; + plane_wiener->hfilter[WIENER_HALFWIN] -= 2 * s; + } else { + err = err2; + skip = 1; + // At the highest step size continue moving in the same direction + if (s == start_step) continue; + } + } + break; + } while (1); + if (skip) break; + do { + if (plane_wiener->hfilter[p] + s <= tap_max[p]) { + plane_wiener->hfilter[p] += s; + plane_wiener->hfilter[WIENER_WIN - p - 1] += s; + plane_wiener->hfilter[WIENER_HALFWIN] -= 2 * s; + err2 = try_restoration_unit(rsc, limits, rui); + if (err2 > err) { + plane_wiener->hfilter[p] -= s; + plane_wiener->hfilter[WIENER_WIN - p - 1] -= s; + plane_wiener->hfilter[WIENER_HALFWIN] += 2 * s; + } else { + err = err2; + // At the highest step size continue moving in the same direction + if (s == start_step) continue; + } + } + break; + } while (1); + } + for (int p = plane_off; p < WIENER_HALFWIN; ++p) { + int skip = 0; + do { + if (plane_wiener->vfilter[p] - s >= tap_min[p]) { + plane_wiener->vfilter[p] -= s; + plane_wiener->vfilter[WIENER_WIN - p - 1] -= s; + plane_wiener->vfilter[WIENER_HALFWIN] += 2 * s; + err2 = try_restoration_unit(rsc, limits, rui); + if (err2 > err) { + plane_wiener->vfilter[p] += s; + plane_wiener->vfilter[WIENER_WIN - p - 1] += s; + plane_wiener->vfilter[WIENER_HALFWIN] -= 2 * s; + } else { + err = err2; + skip = 1; + // At the highest step size continue moving in the same direction + if (s == start_step) continue; + } + } + break; + } while (1); + if (skip) break; + do { + if (plane_wiener->vfilter[p] + s <= tap_max[p]) { + plane_wiener->vfilter[p] += s; + plane_wiener->vfilter[WIENER_WIN - p - 1] += s; + plane_wiener->vfilter[WIENER_HALFWIN] -= 2 * s; + err2 = try_restoration_unit(rsc, limits, rui); + if (err2 > err) { + plane_wiener->vfilter[p] -= s; + plane_wiener->vfilter[WIENER_WIN - p - 1] -= s; + plane_wiener->vfilter[WIENER_HALFWIN] += 2 * s; + } else { + err = err2; + // At the highest step size continue moving in the same direction + if (s == start_step) continue; + } + } + break; + } while (1); + } + } + // printf("err post = %"PRId64"\n", err); + return err; +} + +static AOM_INLINE void search_wiener( + const RestorationTileLimits *limits, int rest_unit_idx, void *priv, + int32_t *tmpbuf, RestorationLineBuffers *rlbs, + struct aom_internal_error_info *error_info) { + (void)tmpbuf; + (void)rlbs; + (void)error_info; + RestSearchCtxt *rsc = (RestSearchCtxt *)priv; + RestUnitSearchInfo *rusi = &rsc->rusi[rest_unit_idx]; + + const MACROBLOCK *const x = rsc->x; + const int64_t bits_none = x->mode_costs.wiener_restore_cost[0]; + + // Skip Wiener search for low variance contents + if (rsc->lpf_sf->prune_wiener_based_on_src_var) { + const int scale[3] = { 0, 1, 2 }; + // Obtain the normalized Qscale + const int qs = av1_dc_quant_QTX(rsc->cm->quant_params.base_qindex, 0, + rsc->cm->seq_params->bit_depth) >> + 3; + // Derive threshold as sqr(normalized Qscale) * scale / 16, + const uint64_t thresh = + (qs * qs * scale[rsc->lpf_sf->prune_wiener_based_on_src_var]) >> 4; + const int highbd = rsc->cm->seq_params->use_highbitdepth; + const uint64_t src_var = + var_restoration_unit(limits, rsc->src, rsc->plane, highbd); + // Do not perform Wiener search if source variance is lower than threshold + // or if the reconstruction error is zero + int prune_wiener = (src_var < thresh) || (rsc->sse[RESTORE_NONE] == 0); + if (prune_wiener) { + rsc->total_bits[RESTORE_WIENER] += bits_none; + rsc->total_sse[RESTORE_WIENER] += rsc->sse[RESTORE_NONE]; + rusi->best_rtype[RESTORE_WIENER - 1] = RESTORE_NONE; + rsc->sse[RESTORE_WIENER] = INT64_MAX; + if (rsc->lpf_sf->prune_sgr_based_on_wiener == 2) rsc->skip_sgr_eval = 1; + return; + } + } + + const int wiener_win = + (rsc->plane == AOM_PLANE_Y) ? WIENER_WIN : WIENER_WIN_CHROMA; + + int reduced_wiener_win = wiener_win; + if (rsc->lpf_sf->reduce_wiener_window_size) { + reduced_wiener_win = + (rsc->plane == AOM_PLANE_Y) ? WIENER_WIN_REDUCED : WIENER_WIN_CHROMA; + } + + int64_t M[WIENER_WIN2]; + int64_t H[WIENER_WIN2 * WIENER_WIN2]; + int32_t vfilter[WIENER_WIN], hfilter[WIENER_WIN]; + +#if CONFIG_AV1_HIGHBITDEPTH + const AV1_COMMON *const cm = rsc->cm; + if (cm->seq_params->use_highbitdepth) { + // TODO(any) : Add support for use_downsampled_wiener_stats SF in HBD + // functions. Optimize intrinsics of HBD design similar to LBD (i.e., + // pre-calculate d and s buffers and avoid most of the C operations). + av1_compute_stats_highbd(reduced_wiener_win, rsc->dgd_buffer, + rsc->src_buffer, limits->h_start, limits->h_end, + limits->v_start, limits->v_end, rsc->dgd_stride, + rsc->src_stride, M, H, cm->seq_params->bit_depth); + } else { + av1_compute_stats(reduced_wiener_win, rsc->dgd_buffer, rsc->src_buffer, + rsc->dgd_avg, rsc->src_avg, limits->h_start, + limits->h_end, limits->v_start, limits->v_end, + rsc->dgd_stride, rsc->src_stride, M, H, + rsc->lpf_sf->use_downsampled_wiener_stats); + } +#else + av1_compute_stats(reduced_wiener_win, rsc->dgd_buffer, rsc->src_buffer, + rsc->dgd_avg, rsc->src_avg, limits->h_start, limits->h_end, + limits->v_start, limits->v_end, rsc->dgd_stride, + rsc->src_stride, M, H, + rsc->lpf_sf->use_downsampled_wiener_stats); +#endif + + wiener_decompose_sep_sym(reduced_wiener_win, M, H, vfilter, hfilter); + + RestorationUnitInfo rui; + memset(&rui, 0, sizeof(rui)); + rui.restoration_type = RESTORE_WIENER; + finalize_sym_filter(reduced_wiener_win, vfilter, rui.wiener_info.vfilter); + finalize_sym_filter(reduced_wiener_win, hfilter, rui.wiener_info.hfilter); + + // Filter score computes the value of the function x'*A*x - x'*b for the + // learned filter and compares it against identity filer. If there is no + // reduction in the function, the filter is reverted back to identity + if (compute_score(reduced_wiener_win, M, H, rui.wiener_info.vfilter, + rui.wiener_info.hfilter) > 0) { + rsc->total_bits[RESTORE_WIENER] += bits_none; + rsc->total_sse[RESTORE_WIENER] += rsc->sse[RESTORE_NONE]; + rusi->best_rtype[RESTORE_WIENER - 1] = RESTORE_NONE; + rsc->sse[RESTORE_WIENER] = INT64_MAX; + if (rsc->lpf_sf->prune_sgr_based_on_wiener == 2) rsc->skip_sgr_eval = 1; + return; + } + + rsc->sse[RESTORE_WIENER] = + finer_search_wiener(rsc, limits, &rui, reduced_wiener_win); + rusi->wiener = rui.wiener_info; + + if (reduced_wiener_win != WIENER_WIN) { + assert(rui.wiener_info.vfilter[0] == 0 && + rui.wiener_info.vfilter[WIENER_WIN - 1] == 0); + assert(rui.wiener_info.hfilter[0] == 0 && + rui.wiener_info.hfilter[WIENER_WIN - 1] == 0); + } + + const int64_t bits_wiener = + x->mode_costs.wiener_restore_cost[1] + + (count_wiener_bits(wiener_win, &rusi->wiener, &rsc->ref_wiener) + << AV1_PROB_COST_SHIFT); + + double cost_none = RDCOST_DBL_WITH_NATIVE_BD_DIST( + x->rdmult, bits_none >> 4, rsc->sse[RESTORE_NONE], + rsc->cm->seq_params->bit_depth); + double cost_wiener = RDCOST_DBL_WITH_NATIVE_BD_DIST( + x->rdmult, bits_wiener >> 4, rsc->sse[RESTORE_WIENER], + rsc->cm->seq_params->bit_depth); + + RestorationType rtype = + (cost_wiener < cost_none) ? RESTORE_WIENER : RESTORE_NONE; + rusi->best_rtype[RESTORE_WIENER - 1] = rtype; + + // Set 'skip_sgr_eval' based on rdcost ratio of RESTORE_WIENER and + // RESTORE_NONE or based on best_rtype + if (rsc->lpf_sf->prune_sgr_based_on_wiener == 1) { + rsc->skip_sgr_eval = cost_wiener > (1.01 * cost_none); + } else if (rsc->lpf_sf->prune_sgr_based_on_wiener == 2) { + rsc->skip_sgr_eval = rusi->best_rtype[RESTORE_WIENER - 1] == RESTORE_NONE; + } + +#if DEBUG_LR_COSTING + // Store ref params for later checking + lr_ref_params[RESTORE_WIENER][rsc->plane][rest_unit_idx].wiener_info = + rsc->ref_wiener; +#endif // DEBUG_LR_COSTING + + rsc->total_sse[RESTORE_WIENER] += rsc->sse[rtype]; + rsc->total_bits[RESTORE_WIENER] += + (cost_wiener < cost_none) ? bits_wiener : bits_none; + if (cost_wiener < cost_none) rsc->ref_wiener = rusi->wiener; +} + +static AOM_INLINE void search_norestore( + const RestorationTileLimits *limits, int rest_unit_idx, void *priv, + int32_t *tmpbuf, RestorationLineBuffers *rlbs, + struct aom_internal_error_info *error_info) { + (void)rest_unit_idx; + (void)tmpbuf; + (void)rlbs; + (void)error_info; + + RestSearchCtxt *rsc = (RestSearchCtxt *)priv; + + const int highbd = rsc->cm->seq_params->use_highbitdepth; + rsc->sse[RESTORE_NONE] = sse_restoration_unit( + limits, rsc->src, &rsc->cm->cur_frame->buf, rsc->plane, highbd); + + rsc->total_sse[RESTORE_NONE] += rsc->sse[RESTORE_NONE]; +} + +static AOM_INLINE void search_switchable( + const RestorationTileLimits *limits, int rest_unit_idx, void *priv, + int32_t *tmpbuf, RestorationLineBuffers *rlbs, + struct aom_internal_error_info *error_info) { + (void)limits; + (void)tmpbuf; + (void)rlbs; + (void)error_info; + RestSearchCtxt *rsc = (RestSearchCtxt *)priv; + RestUnitSearchInfo *rusi = &rsc->rusi[rest_unit_idx]; + + const MACROBLOCK *const x = rsc->x; + + const int wiener_win = + (rsc->plane == AOM_PLANE_Y) ? WIENER_WIN : WIENER_WIN_CHROMA; + + double best_cost = 0; + int64_t best_bits = 0; + RestorationType best_rtype = RESTORE_NONE; + + for (RestorationType r = 0; r < RESTORE_SWITCHABLE_TYPES; ++r) { + // If this restoration mode was skipped, or could not find a solution + // that was better than RESTORE_NONE, then we can't select it here either. + // + // Note: It is possible for the restoration search functions to find a + // filter which is better than RESTORE_NONE when looking purely at SSE, but + // for it to be rejected overall due to its rate cost. In this case, there + // is a chance that it may be have a lower rate cost when looking at + // RESTORE_SWITCHABLE, and so it might be acceptable here. + // + // Therefore we prune based on SSE, rather than on whether or not the + // previous search function selected this mode. + if (r > RESTORE_NONE) { + if (rsc->sse[r] > rsc->sse[RESTORE_NONE]) continue; + } + + const int64_t sse = rsc->sse[r]; + int64_t coeff_pcost = 0; + switch (r) { + case RESTORE_NONE: coeff_pcost = 0; break; + case RESTORE_WIENER: + coeff_pcost = count_wiener_bits(wiener_win, &rusi->wiener, + &rsc->switchable_ref_wiener); + break; + case RESTORE_SGRPROJ: + coeff_pcost = + count_sgrproj_bits(&rusi->sgrproj, &rsc->switchable_ref_sgrproj); + break; + default: assert(0); break; + } + const int64_t coeff_bits = coeff_pcost << AV1_PROB_COST_SHIFT; + const int64_t bits = x->mode_costs.switchable_restore_cost[r] + coeff_bits; + double cost = RDCOST_DBL_WITH_NATIVE_BD_DIST( + x->rdmult, bits >> 4, sse, rsc->cm->seq_params->bit_depth); + if (r == RESTORE_SGRPROJ && rusi->sgrproj.ep < 10) + cost *= (1 + DUAL_SGR_PENALTY_MULT * rsc->lpf_sf->dual_sgr_penalty_level); + if (r == 0 || cost < best_cost) { + best_cost = cost; + best_bits = bits; + best_rtype = r; + } + } + + rusi->best_rtype[RESTORE_SWITCHABLE - 1] = best_rtype; + +#if DEBUG_LR_COSTING + // Store ref params for later checking + lr_ref_params[RESTORE_SWITCHABLE][rsc->plane][rest_unit_idx].wiener_info = + rsc->switchable_ref_wiener; + lr_ref_params[RESTORE_SWITCHABLE][rsc->plane][rest_unit_idx].sgrproj_info = + rsc->switchable_ref_sgrproj; +#endif // DEBUG_LR_COSTING + + rsc->total_sse[RESTORE_SWITCHABLE] += rsc->sse[best_rtype]; + rsc->total_bits[RESTORE_SWITCHABLE] += best_bits; + if (best_rtype == RESTORE_WIENER) rsc->switchable_ref_wiener = rusi->wiener; + if (best_rtype == RESTORE_SGRPROJ) + rsc->switchable_ref_sgrproj = rusi->sgrproj; +} + +static AOM_INLINE void copy_unit_info(RestorationType frame_rtype, + const RestUnitSearchInfo *rusi, + RestorationUnitInfo *rui) { + assert(frame_rtype > 0); + rui->restoration_type = rusi->best_rtype[frame_rtype - 1]; + if (rui->restoration_type == RESTORE_WIENER) + rui->wiener_info = rusi->wiener; + else + rui->sgrproj_info = rusi->sgrproj; +} + +static void restoration_search(AV1_COMMON *cm, int plane, RestSearchCtxt *rsc, + bool *disable_lr_filter) { + const BLOCK_SIZE sb_size = cm->seq_params->sb_size; + const int mib_size_log2 = cm->seq_params->mib_size_log2; + const CommonTileParams *tiles = &cm->tiles; + const int is_uv = plane > 0; + const int ss_y = is_uv && cm->seq_params->subsampling_y; + RestorationInfo *rsi = &cm->rst_info[plane]; + const int ru_size = rsi->restoration_unit_size; + const int ext_size = ru_size * 3 / 2; + + int plane_w, plane_h; + av1_get_upsampled_plane_size(cm, is_uv, &plane_w, &plane_h); + + static const rest_unit_visitor_t funs[RESTORE_TYPES] = { + search_norestore, search_wiener, search_sgrproj, search_switchable + }; + + const int plane_num_units = rsi->num_rest_units; + const RestorationType num_rtypes = + (plane_num_units > 1) ? RESTORE_TYPES : RESTORE_SWITCHABLE_TYPES; + + reset_rsc(rsc); + + // Iterate over restoration units in encoding order, so that each RU gets + // the correct reference parameters when we cost it up. This is effectively + // a nested iteration over: + // * Each tile, order does not matter + // * Each superblock within that tile, in raster order + // * Each LR unit which is coded within that superblock, in raster order + for (int tile_row = 0; tile_row < tiles->rows; tile_row++) { + int sb_row_start = tiles->row_start_sb[tile_row]; + int sb_row_end = tiles->row_start_sb[tile_row + 1]; + for (int tile_col = 0; tile_col < tiles->cols; tile_col++) { + int sb_col_start = tiles->col_start_sb[tile_col]; + int sb_col_end = tiles->col_start_sb[tile_col + 1]; + + // Reset reference parameters for delta-coding at the start of each tile + rsc_on_tile(rsc); + + for (int sb_row = sb_row_start; sb_row < sb_row_end; sb_row++) { + int mi_row = sb_row << mib_size_log2; + for (int sb_col = sb_col_start; sb_col < sb_col_end; sb_col++) { + int mi_col = sb_col << mib_size_log2; + + int rcol0, rcol1, rrow0, rrow1; + int has_lr_info = av1_loop_restoration_corners_in_sb( + cm, plane, mi_row, mi_col, sb_size, &rcol0, &rcol1, &rrow0, + &rrow1); + + if (!has_lr_info) continue; + + RestorationTileLimits limits; + for (int rrow = rrow0; rrow < rrow1; rrow++) { + int y0 = rrow * ru_size; + int remaining_h = plane_h - y0; + int h = (remaining_h < ext_size) ? remaining_h : ru_size; + + limits.v_start = y0; + limits.v_end = y0 + h; + assert(limits.v_end <= plane_h); + // Offset upwards to align with the restoration processing stripe + const int voffset = RESTORATION_UNIT_OFFSET >> ss_y; + limits.v_start = AOMMAX(0, limits.v_start - voffset); + if (limits.v_end < plane_h) limits.v_end -= voffset; + + for (int rcol = rcol0; rcol < rcol1; rcol++) { + int x0 = rcol * ru_size; + int remaining_w = plane_w - x0; + int w = (remaining_w < ext_size) ? remaining_w : ru_size; + + limits.h_start = x0; + limits.h_end = x0 + w; + assert(limits.h_end <= plane_w); + + const int unit_idx = rrow * rsi->horz_units + rcol; + + rsc->skip_sgr_eval = 0; + for (RestorationType r = RESTORE_NONE; r < num_rtypes; r++) { + if (disable_lr_filter[r]) continue; + + funs[r](&limits, unit_idx, rsc, rsc->cm->rst_tmpbuf, NULL, + cm->error); + } + } + } + } + } + } + } +} + +static INLINE void av1_derive_flags_for_lr_processing( + const LOOP_FILTER_SPEED_FEATURES *lpf_sf, bool *disable_lr_filter) { + const bool is_wiener_disabled = lpf_sf->disable_wiener_filter; + const bool is_sgr_disabled = lpf_sf->disable_sgr_filter; + + // Enable None Loop restoration filter if either of Wiener or Self-guided is + // enabled. + disable_lr_filter[RESTORE_NONE] = (is_wiener_disabled && is_sgr_disabled); + + disable_lr_filter[RESTORE_WIENER] = is_wiener_disabled; + disable_lr_filter[RESTORE_SGRPROJ] = is_sgr_disabled; + + // Enable Swicthable Loop restoration filter if both of the Wiener and + // Self-guided are enabled. + disable_lr_filter[RESTORE_SWITCHABLE] = + (is_wiener_disabled || is_sgr_disabled); +} + +#define COUPLED_CHROMA_FROM_LUMA_RESTORATION 0 +// Allocate both decoder-side and encoder-side info structs for a single plane. +// The unit size passed in should be the minimum size which we are going to +// search; before each search, set_restoration_unit_size() must be called to +// configure the actual size. +static RestUnitSearchInfo *allocate_search_structs(AV1_COMMON *cm, + RestorationInfo *rsi, + int is_uv, + int min_luma_unit_size) { +#if COUPLED_CHROMA_FROM_LUMA_RESTORATION + int sx = cm->seq_params.subsampling_x; + int sy = cm->seq_params.subsampling_y; + int s = (p > 0) ? AOMMIN(sx, sy) : 0; +#else + int s = 0; +#endif // !COUPLED_CHROMA_FROM_LUMA_RESTORATION + int min_unit_size = min_luma_unit_size >> s; + + int plane_w, plane_h; + av1_get_upsampled_plane_size(cm, is_uv, &plane_w, &plane_h); + + const int max_horz_units = av1_lr_count_units(min_unit_size, plane_w); + const int max_vert_units = av1_lr_count_units(min_unit_size, plane_h); + const int max_num_units = max_horz_units * max_vert_units; + + aom_free(rsi->unit_info); + CHECK_MEM_ERROR(cm, rsi->unit_info, + (RestorationUnitInfo *)aom_memalign( + 16, sizeof(*rsi->unit_info) * max_num_units)); + + RestUnitSearchInfo *rusi; + CHECK_MEM_ERROR( + cm, rusi, + (RestUnitSearchInfo *)aom_memalign(16, sizeof(*rusi) * max_num_units)); + + // If the restoration unit dimensions are not multiples of + // rsi->restoration_unit_size then some elements of the rusi array may be + // left uninitialised when we reach copy_unit_info(...). This is not a + // problem, as these elements are ignored later, but in order to quiet + // Valgrind's warnings we initialise the array below. + memset(rusi, 0, sizeof(*rusi) * max_num_units); + + return rusi; +} + +static void set_restoration_unit_size(AV1_COMMON *cm, RestorationInfo *rsi, + int is_uv, int luma_unit_size) { +#if COUPLED_CHROMA_FROM_LUMA_RESTORATION + int sx = cm->seq_params.subsampling_x; + int sy = cm->seq_params.subsampling_y; + int s = (p > 0) ? AOMMIN(sx, sy) : 0; +#else + int s = 0; +#endif // !COUPLED_CHROMA_FROM_LUMA_RESTORATION + int unit_size = luma_unit_size >> s; + + int plane_w, plane_h; + av1_get_upsampled_plane_size(cm, is_uv, &plane_w, &plane_h); + + const int horz_units = av1_lr_count_units(unit_size, plane_w); + const int vert_units = av1_lr_count_units(unit_size, plane_h); + + rsi->restoration_unit_size = unit_size; + rsi->num_rest_units = horz_units * vert_units; + rsi->horz_units = horz_units; + rsi->vert_units = vert_units; +} + +void av1_pick_filter_restoration(const YV12_BUFFER_CONFIG *src, AV1_COMP *cpi) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCK *const x = &cpi->td.mb; + const SequenceHeader *const seq_params = cm->seq_params; + const LOOP_FILTER_SPEED_FEATURES *lpf_sf = &cpi->sf.lpf_sf; + const int num_planes = av1_num_planes(cm); + const int highbd = cm->seq_params->use_highbitdepth; + assert(!cm->features.all_lossless); + + av1_fill_lr_rates(&x->mode_costs, x->e_mbd.tile_ctx); + + // Select unit size based on speed feature settings, and allocate + // rui structs based on this size + int min_lr_unit_size = cpi->sf.lpf_sf.min_lr_unit_size; + int max_lr_unit_size = cpi->sf.lpf_sf.max_lr_unit_size; + + // The minimum allowed unit size at a syntax level is 1 superblock. + // Apply this constraint here so that the speed features code which sets + // cpi->sf.lpf_sf.min_lr_unit_size does not need to know the superblock size + min_lr_unit_size = + AOMMAX(min_lr_unit_size, block_size_wide[cm->seq_params->sb_size]); + + for (int plane = 0; plane < num_planes; ++plane) { + cpi->pick_lr_ctxt.rusi[plane] = allocate_search_structs( + cm, &cm->rst_info[plane], plane > 0, min_lr_unit_size); + } + + x->rdmult = cpi->rd.RDMULT; + + // Allocate the frame buffer trial_frame_rst, which is used to temporarily + // store the loop restored frame. + if (aom_realloc_frame_buffer( + &cpi->trial_frame_rst, cm->superres_upscaled_width, + cm->superres_upscaled_height, seq_params->subsampling_x, + seq_params->subsampling_y, highbd, AOM_RESTORATION_FRAME_BORDER, + cm->features.byte_alignment, NULL, NULL, NULL, 0, 0)) + aom_internal_error(cm->error, AOM_CODEC_MEM_ERROR, + "Failed to allocate trial restored frame buffer"); + + RestSearchCtxt rsc; + + // The buffers 'src_avg' and 'dgd_avg' are used to compute H and M buffers. + // These buffers are only required for the AVX2 and NEON implementations of + // av1_compute_stats. The buffer size required is calculated based on maximum + // width and height of the LRU (i.e., from foreach_rest_unit_in_plane() 1.5 + // times the RESTORATION_UNITSIZE_MAX) allowed for Wiener filtering. The width + // and height aligned to multiple of 16 is considered for intrinsic purpose. + rsc.dgd_avg = NULL; + rsc.src_avg = NULL; +#if HAVE_AVX2 || HAVE_NEON + // The buffers allocated below are used during Wiener filter processing of low + // bitdepth path. Hence, allocate the same when Wiener filter is enabled in + // low bitdepth path. + if (!cpi->sf.lpf_sf.disable_wiener_filter && !highbd) { + const int buf_size = sizeof(*cpi->pick_lr_ctxt.dgd_avg) * 6 * + RESTORATION_UNITSIZE_MAX * RESTORATION_UNITSIZE_MAX; + CHECK_MEM_ERROR(cm, cpi->pick_lr_ctxt.dgd_avg, + (int16_t *)aom_memalign(32, buf_size)); + + rsc.dgd_avg = cpi->pick_lr_ctxt.dgd_avg; + // When LRU width isn't multiple of 16, the 256 bits load instruction used + // in AVX2 intrinsic can read data beyond valid LRU. Hence, in order to + // silence Valgrind warning this buffer is initialized with zero. Overhead + // due to this initialization is negligible since it is done at frame level. + memset(rsc.dgd_avg, 0, buf_size); + rsc.src_avg = + rsc.dgd_avg + 3 * RESTORATION_UNITSIZE_MAX * RESTORATION_UNITSIZE_MAX; + // Asserts the starting address of src_avg is always 32-bytes aligned. + assert(!((intptr_t)rsc.src_avg % 32)); + } +#endif + + // Initialize all planes, so that any planes we skip searching will still have + // valid data + for (int plane = 0; plane < num_planes; plane++) { + cm->rst_info[plane].frame_restoration_type = RESTORE_NONE; + } + + // Decide which planes to search + int plane_start, plane_end; + + if (lpf_sf->disable_loop_restoration_luma) { + plane_start = AOM_PLANE_U; + } else { + plane_start = AOM_PLANE_Y; + } + + if (num_planes == 1 || lpf_sf->disable_loop_restoration_chroma) { + plane_end = AOM_PLANE_Y; + } else { + plane_end = AOM_PLANE_V; + } + + // Derive the flags to enable/disable Loop restoration filters based on the + // speed features 'disable_wiener_filter' and 'disable_sgr_filter'. + bool disable_lr_filter[RESTORE_TYPES] = { false }; + av1_derive_flags_for_lr_processing(lpf_sf, disable_lr_filter); + + for (int plane = plane_start; plane <= plane_end; plane++) { + const YV12_BUFFER_CONFIG *dgd = &cm->cur_frame->buf; + const int is_uv = plane != AOM_PLANE_Y; + int plane_w, plane_h; + av1_get_upsampled_plane_size(cm, is_uv, &plane_w, &plane_h); + av1_extend_frame(dgd->buffers[plane], plane_w, plane_h, dgd->strides[is_uv], + RESTORATION_BORDER, RESTORATION_BORDER, highbd); + } + + double best_cost = DBL_MAX; + int best_luma_unit_size = max_lr_unit_size; + for (int luma_unit_size = max_lr_unit_size; + luma_unit_size >= min_lr_unit_size; luma_unit_size >>= 1) { + int64_t bits_this_size = 0; + int64_t sse_this_size = 0; + RestorationType best_rtype[MAX_MB_PLANE] = { RESTORE_NONE, RESTORE_NONE, + RESTORE_NONE }; + for (int plane = plane_start; plane <= plane_end; ++plane) { + set_restoration_unit_size(cm, &cm->rst_info[plane], plane > 0, + luma_unit_size); + init_rsc(src, &cpi->common, x, lpf_sf, plane, + cpi->pick_lr_ctxt.rusi[plane], &cpi->trial_frame_rst, &rsc); + + restoration_search(cm, plane, &rsc, disable_lr_filter); + + const int plane_num_units = cm->rst_info[plane].num_rest_units; + const RestorationType num_rtypes = + (plane_num_units > 1) ? RESTORE_TYPES : RESTORE_SWITCHABLE_TYPES; + double best_cost_this_plane = DBL_MAX; + for (RestorationType r = 0; r < num_rtypes; ++r) { + // Disable Loop restoration filter based on the flags set using speed + // feature 'disable_wiener_filter' and 'disable_sgr_filter'. + if (disable_lr_filter[r]) continue; + + double cost_this_plane = RDCOST_DBL_WITH_NATIVE_BD_DIST( + x->rdmult, rsc.total_bits[r] >> 4, rsc.total_sse[r], + cm->seq_params->bit_depth); + + if (cost_this_plane < best_cost_this_plane) { + best_cost_this_plane = cost_this_plane; + best_rtype[plane] = r; + } + } + + bits_this_size += rsc.total_bits[best_rtype[plane]]; + sse_this_size += rsc.total_sse[best_rtype[plane]]; + } + + double cost_this_size = RDCOST_DBL_WITH_NATIVE_BD_DIST( + x->rdmult, bits_this_size >> 4, sse_this_size, + cm->seq_params->bit_depth); + + if (cost_this_size < best_cost) { + best_cost = cost_this_size; + best_luma_unit_size = luma_unit_size; + // Copy parameters out of rusi struct, before we overwrite it at + // the start of the next iteration + bool all_none = true; + for (int plane = plane_start; plane <= plane_end; ++plane) { + cm->rst_info[plane].frame_restoration_type = best_rtype[plane]; + if (best_rtype[plane] != RESTORE_NONE) { + all_none = false; + const int plane_num_units = cm->rst_info[plane].num_rest_units; + for (int u = 0; u < plane_num_units; ++u) { + copy_unit_info(best_rtype[plane], &cpi->pick_lr_ctxt.rusi[plane][u], + &cm->rst_info[plane].unit_info[u]); + } + } + } + // Heuristic: If all best_rtype entries are RESTORE_NONE, this means we + // couldn't find any good filters at this size. So we likely won't find + // any good filters at a smaller size either, so skip + if (all_none) { + break; + } + } else { + // Heuristic: If this size is worse than the previous (larger) size, then + // the next size down will likely be even worse, so skip + break; + } + } + + // Final fixup to set the correct unit size + // We set this for all planes, even ones we have skipped searching, + // so that other code does not need to care which planes were and weren't + // searched + for (int plane = 0; plane < num_planes; ++plane) { + set_restoration_unit_size(cm, &cm->rst_info[plane], plane > 0, + best_luma_unit_size); + } + +#if HAVE_AVX || HAVE_NEON + if (!cpi->sf.lpf_sf.disable_wiener_filter && !highbd) { + aom_free(cpi->pick_lr_ctxt.dgd_avg); + cpi->pick_lr_ctxt.dgd_avg = NULL; + } +#endif + for (int plane = 0; plane < num_planes; plane++) { + aom_free(cpi->pick_lr_ctxt.rusi[plane]); + cpi->pick_lr_ctxt.rusi[plane] = NULL; + } +} |