| /* | |
| * Copyright (c) 2020, 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 "av1/common/pred_common.h" | |
| #include "av1/encoder/compound_type.h" | |
| #include "av1/encoder/encoder_alloc.h" | |
| #include "av1/encoder/model_rd.h" | |
| #include "av1/encoder/motion_search_facade.h" | |
| #include "av1/encoder/rdopt_utils.h" | |
| #include "av1/encoder/reconinter_enc.h" | |
| #include "av1/encoder/tx_search.h" | |
| typedef int64_t (*pick_interinter_mask_type)( | |
| const AV1_COMP *const cpi, MACROBLOCK *x, const BLOCK_SIZE bsize, | |
| const uint8_t *const p0, const uint8_t *const p1, | |
| const int16_t *const residual1, const int16_t *const diff10, | |
| uint64_t *best_sse); | |
| // Checks if characteristics of search match | |
| static inline int is_comp_rd_match(const AV1_COMP *const cpi, | |
| const MACROBLOCK *const x, | |
| const COMP_RD_STATS *st, | |
| const MB_MODE_INFO *const mi, | |
| int32_t *comp_rate, int64_t *comp_dist, | |
| int32_t *comp_model_rate, | |
| int64_t *comp_model_dist, int *comp_rs2) { | |
| // TODO(ranjit): Ensure that compound type search use regular filter always | |
| // and check if following check can be removed | |
| // Check if interp filter matches with previous case | |
| if (st->filter.as_int != mi->interp_filters.as_int) return 0; | |
| const MACROBLOCKD *const xd = &x->e_mbd; | |
| // Match MV and reference indices | |
| for (int i = 0; i < 2; ++i) { | |
| if ((st->ref_frames[i] != mi->ref_frame[i]) || | |
| (st->mv[i].as_int != mi->mv[i].as_int)) { | |
| return 0; | |
| } | |
| const WarpedMotionParams *const wm = &xd->global_motion[mi->ref_frame[i]]; | |
| if (is_global_mv_block(mi, wm->wmtype) != st->is_global[i]) return 0; | |
| } | |
| int reuse_data[COMPOUND_TYPES] = { 1, 1, 0, 0 }; | |
| // For compound wedge, reuse data if newmv search is disabled when NEWMV is | |
| // present or if NEWMV is not present in either of the directions | |
| if ((!have_newmv_in_inter_mode(mi->mode) && | |
| !have_newmv_in_inter_mode(st->mode)) || | |
| (cpi->sf.inter_sf.disable_interinter_wedge_newmv_search)) | |
| reuse_data[COMPOUND_WEDGE] = 1; | |
| // For compound diffwtd, reuse data if fast search is enabled (no newmv search | |
| // when NEWMV is present) or if NEWMV is not present in either of the | |
| // directions | |
| if (cpi->sf.inter_sf.enable_fast_compound_mode_search || | |
| (!have_newmv_in_inter_mode(mi->mode) && | |
| !have_newmv_in_inter_mode(st->mode))) | |
| reuse_data[COMPOUND_DIFFWTD] = 1; | |
| // Store the stats for the different compound types | |
| for (int comp_type = COMPOUND_AVERAGE; comp_type < COMPOUND_TYPES; | |
| comp_type++) { | |
| if (reuse_data[comp_type]) { | |
| comp_rate[comp_type] = st->rate[comp_type]; | |
| comp_dist[comp_type] = st->dist[comp_type]; | |
| comp_model_rate[comp_type] = st->model_rate[comp_type]; | |
| comp_model_dist[comp_type] = st->model_dist[comp_type]; | |
| comp_rs2[comp_type] = st->comp_rs2[comp_type]; | |
| } | |
| } | |
| return 1; | |
| } | |
| // Checks if similar compound type search case is accounted earlier | |
| // If found, returns relevant rd data | |
| static inline int find_comp_rd_in_stats(const AV1_COMP *const cpi, | |
| const MACROBLOCK *x, | |
| const MB_MODE_INFO *const mbmi, | |
| int32_t *comp_rate, int64_t *comp_dist, | |
| int32_t *comp_model_rate, | |
| int64_t *comp_model_dist, int *comp_rs2, | |
| int *match_index) { | |
| for (int j = 0; j < x->comp_rd_stats_idx; ++j) { | |
| if (is_comp_rd_match(cpi, x, &x->comp_rd_stats[j], mbmi, comp_rate, | |
| comp_dist, comp_model_rate, comp_model_dist, | |
| comp_rs2)) { | |
| *match_index = j; | |
| return 1; | |
| } | |
| } | |
| return 0; // no match result found | |
| } | |
| static inline bool enable_wedge_search( | |
| MACROBLOCK *const x, const unsigned int disable_wedge_var_thresh) { | |
| // Enable wedge search if source variance and edge strength are above | |
| // the thresholds. | |
| return x->source_variance > disable_wedge_var_thresh; | |
| } | |
| static inline bool enable_wedge_interinter_search(MACROBLOCK *const x, | |
| const AV1_COMP *const cpi) { | |
| return enable_wedge_search( | |
| x, cpi->sf.inter_sf.disable_interinter_wedge_var_thresh) && | |
| cpi->oxcf.comp_type_cfg.enable_interinter_wedge; | |
| } | |
| static inline bool enable_wedge_interintra_search(MACROBLOCK *const x, | |
| const AV1_COMP *const cpi) { | |
| return enable_wedge_search( | |
| x, cpi->sf.inter_sf.disable_interintra_wedge_var_thresh) && | |
| cpi->oxcf.comp_type_cfg.enable_interintra_wedge; | |
| } | |
| static int8_t estimate_wedge_sign(const AV1_COMP *cpi, const MACROBLOCK *x, | |
| const BLOCK_SIZE bsize, const uint8_t *pred0, | |
| int stride0, const uint8_t *pred1, | |
| int stride1) { | |
| static const BLOCK_SIZE split_qtr[BLOCK_SIZES_ALL] = { | |
| // 4X4 | |
| BLOCK_INVALID, | |
| // 4X8, 8X4, 8X8 | |
| BLOCK_INVALID, BLOCK_INVALID, BLOCK_4X4, | |
| // 8X16, 16X8, 16X16 | |
| BLOCK_4X8, BLOCK_8X4, BLOCK_8X8, | |
| // 16X32, 32X16, 32X32 | |
| BLOCK_8X16, BLOCK_16X8, BLOCK_16X16, | |
| // 32X64, 64X32, 64X64 | |
| BLOCK_16X32, BLOCK_32X16, BLOCK_32X32, | |
| // 64x128, 128x64, 128x128 | |
| BLOCK_32X64, BLOCK_64X32, BLOCK_64X64, | |
| // 4X16, 16X4, 8X32 | |
| BLOCK_INVALID, BLOCK_INVALID, BLOCK_4X16, | |
| // 32X8, 16X64, 64X16 | |
| BLOCK_16X4, BLOCK_8X32, BLOCK_32X8 | |
| }; | |
| const struct macroblock_plane *const p = &x->plane[0]; | |
| const uint8_t *src = p->src.buf; | |
| int src_stride = p->src.stride; | |
| const int bw = block_size_wide[bsize]; | |
| const int bh = block_size_high[bsize]; | |
| const int bw_by2 = bw >> 1; | |
| const int bh_by2 = bh >> 1; | |
| uint32_t esq[2][2]; | |
| int64_t tl, br; | |
| const BLOCK_SIZE f_index = split_qtr[bsize]; | |
| assert(f_index != BLOCK_INVALID); | |
| if (is_cur_buf_hbd(&x->e_mbd)) { | |
| pred0 = CONVERT_TO_BYTEPTR(pred0); | |
| pred1 = CONVERT_TO_BYTEPTR(pred1); | |
| } | |
| // Residual variance computation over relevant quandrants in order to | |
| // find TL + BR, TL = sum(1st,2nd,3rd) quadrants of (pred0 - pred1), | |
| // BR = sum(2nd,3rd,4th) quadrants of (pred1 - pred0) | |
| // The 2nd and 3rd quadrants cancel out in TL + BR | |
| // Hence TL + BR = 1st quadrant of (pred0-pred1) + 4th of (pred1-pred0) | |
| // TODO(nithya): Sign estimation assumes 45 degrees (1st and 4th quadrants) | |
| // for all codebooks; experiment with other quadrant combinations for | |
| // 0, 90 and 135 degrees also. | |
| cpi->ppi->fn_ptr[f_index].vf(src, src_stride, pred0, stride0, &esq[0][0]); | |
| cpi->ppi->fn_ptr[f_index].vf(src + bh_by2 * src_stride + bw_by2, src_stride, | |
| pred0 + bh_by2 * stride0 + bw_by2, stride0, | |
| &esq[0][1]); | |
| cpi->ppi->fn_ptr[f_index].vf(src, src_stride, pred1, stride1, &esq[1][0]); | |
| cpi->ppi->fn_ptr[f_index].vf(src + bh_by2 * src_stride + bw_by2, src_stride, | |
| pred1 + bh_by2 * stride1 + bw_by2, stride0, | |
| &esq[1][1]); | |
| tl = ((int64_t)esq[0][0]) - ((int64_t)esq[1][0]); | |
| br = ((int64_t)esq[1][1]) - ((int64_t)esq[0][1]); | |
| return (tl + br > 0); | |
| } | |
| // Choose the best wedge index and sign | |
| static int64_t pick_wedge(const AV1_COMP *const cpi, const MACROBLOCK *const x, | |
| const BLOCK_SIZE bsize, const uint8_t *const p0, | |
| const int16_t *const residual1, | |
| const int16_t *const diff10, | |
| int8_t *const best_wedge_sign, | |
| int8_t *const best_wedge_index, uint64_t *best_sse) { | |
| const MACROBLOCKD *const xd = &x->e_mbd; | |
| const struct buf_2d *const src = &x->plane[0].src; | |
| const int bw = block_size_wide[bsize]; | |
| const int bh = block_size_high[bsize]; | |
| const int N = bw * bh; | |
| assert(N >= 64); | |
| int rate; | |
| int64_t dist; | |
| int64_t rd, best_rd = INT64_MAX; | |
| int8_t wedge_index; | |
| int8_t wedge_sign; | |
| const int8_t wedge_types = get_wedge_types_lookup(bsize); | |
| const uint8_t *mask; | |
| uint64_t sse; | |
| const int hbd = is_cur_buf_hbd(xd); | |
| const int bd_round = hbd ? (xd->bd - 8) * 2 : 0; | |
| DECLARE_ALIGNED(32, int16_t, residual0[MAX_SB_SQUARE]); // src - pred0 | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| if (hbd) { | |
| aom_highbd_subtract_block(bh, bw, residual0, bw, src->buf, src->stride, | |
| CONVERT_TO_BYTEPTR(p0), bw); | |
| } else { | |
| aom_subtract_block(bh, bw, residual0, bw, src->buf, src->stride, p0, bw); | |
| } | |
| #else | |
| (void)hbd; | |
| aom_subtract_block(bh, bw, residual0, bw, src->buf, src->stride, p0, bw); | |
| #endif | |
| int64_t sign_limit = ((int64_t)aom_sum_squares_i16(residual0, N) - | |
| (int64_t)aom_sum_squares_i16(residual1, N)) * | |
| (1 << WEDGE_WEIGHT_BITS) / 2; | |
| int16_t *ds = residual0; | |
| av1_wedge_compute_delta_squares(ds, residual0, residual1, N); | |
| for (wedge_index = 0; wedge_index < wedge_types; ++wedge_index) { | |
| mask = av1_get_contiguous_soft_mask(wedge_index, 0, bsize); | |
| wedge_sign = av1_wedge_sign_from_residuals(ds, mask, N, sign_limit); | |
| mask = av1_get_contiguous_soft_mask(wedge_index, wedge_sign, bsize); | |
| sse = av1_wedge_sse_from_residuals(residual1, diff10, mask, N); | |
| sse = ROUND_POWER_OF_TWO(sse, bd_round); | |
| model_rd_sse_fn[MODELRD_TYPE_MASKED_COMPOUND](cpi, x, bsize, 0, sse, N, | |
| &rate, &dist); | |
| rate += x->mode_costs.wedge_idx_cost[bsize][wedge_index]; | |
| rd = RDCOST(x->rdmult, rate, dist); | |
| if (rd < best_rd) { | |
| *best_wedge_index = wedge_index; | |
| *best_wedge_sign = wedge_sign; | |
| best_rd = rd; | |
| *best_sse = sse; | |
| } | |
| } | |
| return best_rd - | |
| RDCOST(x->rdmult, | |
| x->mode_costs.wedge_idx_cost[bsize][*best_wedge_index], 0); | |
| } | |
| // Choose the best wedge index the specified sign | |
| static int64_t pick_wedge_fixed_sign( | |
| const AV1_COMP *const cpi, const MACROBLOCK *const x, | |
| const BLOCK_SIZE bsize, const int16_t *const residual1, | |
| const int16_t *const diff10, const int8_t wedge_sign, | |
| int8_t *const best_wedge_index, uint64_t *best_sse) { | |
| const MACROBLOCKD *const xd = &x->e_mbd; | |
| const int bw = block_size_wide[bsize]; | |
| const int bh = block_size_high[bsize]; | |
| const int N = bw * bh; | |
| assert(N >= 64); | |
| int rate; | |
| int64_t dist; | |
| int64_t rd, best_rd = INT64_MAX; | |
| int8_t wedge_index; | |
| const int8_t wedge_types = get_wedge_types_lookup(bsize); | |
| const uint8_t *mask; | |
| uint64_t sse; | |
| const int hbd = is_cur_buf_hbd(xd); | |
| const int bd_round = hbd ? (xd->bd - 8) * 2 : 0; | |
| for (wedge_index = 0; wedge_index < wedge_types; ++wedge_index) { | |
| mask = av1_get_contiguous_soft_mask(wedge_index, wedge_sign, bsize); | |
| sse = av1_wedge_sse_from_residuals(residual1, diff10, mask, N); | |
| sse = ROUND_POWER_OF_TWO(sse, bd_round); | |
| model_rd_sse_fn[MODELRD_TYPE_MASKED_COMPOUND](cpi, x, bsize, 0, sse, N, | |
| &rate, &dist); | |
| rate += x->mode_costs.wedge_idx_cost[bsize][wedge_index]; | |
| rd = RDCOST(x->rdmult, rate, dist); | |
| if (rd < best_rd) { | |
| *best_wedge_index = wedge_index; | |
| best_rd = rd; | |
| *best_sse = sse; | |
| } | |
| } | |
| return best_rd - | |
| RDCOST(x->rdmult, | |
| x->mode_costs.wedge_idx_cost[bsize][*best_wedge_index], 0); | |
| } | |
| static int64_t pick_interinter_wedge( | |
| const AV1_COMP *const cpi, MACROBLOCK *const x, const BLOCK_SIZE bsize, | |
| const uint8_t *const p0, const uint8_t *const p1, | |
| const int16_t *const residual1, const int16_t *const diff10, | |
| uint64_t *best_sse) { | |
| MACROBLOCKD *const xd = &x->e_mbd; | |
| MB_MODE_INFO *const mbmi = xd->mi[0]; | |
| const int bw = block_size_wide[bsize]; | |
| int64_t rd; | |
| int8_t wedge_index = -1; | |
| int8_t wedge_sign = 0; | |
| assert(is_interinter_compound_used(COMPOUND_WEDGE, bsize)); | |
| assert(cpi->common.seq_params->enable_masked_compound); | |
| if (cpi->sf.inter_sf.fast_wedge_sign_estimate) { | |
| wedge_sign = estimate_wedge_sign(cpi, x, bsize, p0, bw, p1, bw); | |
| rd = pick_wedge_fixed_sign(cpi, x, bsize, residual1, diff10, wedge_sign, | |
| &wedge_index, best_sse); | |
| } else { | |
| rd = pick_wedge(cpi, x, bsize, p0, residual1, diff10, &wedge_sign, | |
| &wedge_index, best_sse); | |
| } | |
| mbmi->interinter_comp.wedge_sign = wedge_sign; | |
| mbmi->interinter_comp.wedge_index = wedge_index; | |
| return rd; | |
| } | |
| static int64_t pick_interinter_seg(const AV1_COMP *const cpi, | |
| MACROBLOCK *const x, const BLOCK_SIZE bsize, | |
| const uint8_t *const p0, | |
| const uint8_t *const p1, | |
| const int16_t *const residual1, | |
| const int16_t *const diff10, | |
| uint64_t *best_sse) { | |
| MACROBLOCKD *const xd = &x->e_mbd; | |
| MB_MODE_INFO *const mbmi = xd->mi[0]; | |
| const int bw = block_size_wide[bsize]; | |
| const int bh = block_size_high[bsize]; | |
| const int N = 1 << num_pels_log2_lookup[bsize]; | |
| int rate; | |
| int64_t dist; | |
| DIFFWTD_MASK_TYPE cur_mask_type; | |
| int64_t best_rd = INT64_MAX; | |
| DIFFWTD_MASK_TYPE best_mask_type = 0; | |
| const int hbd = is_cur_buf_hbd(xd); | |
| const int bd_round = hbd ? (xd->bd - 8) * 2 : 0; | |
| DECLARE_ALIGNED(16, uint8_t, seg_mask[2 * MAX_SB_SQUARE]); | |
| uint8_t *tmp_mask[2] = { xd->seg_mask, seg_mask }; | |
| // try each mask type and its inverse | |
| for (cur_mask_type = 0; cur_mask_type < DIFFWTD_MASK_TYPES; cur_mask_type++) { | |
| // build mask and inverse | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| if (hbd) | |
| av1_build_compound_diffwtd_mask_highbd( | |
| tmp_mask[cur_mask_type], cur_mask_type, CONVERT_TO_BYTEPTR(p0), bw, | |
| CONVERT_TO_BYTEPTR(p1), bw, bh, bw, xd->bd); | |
| else | |
| av1_build_compound_diffwtd_mask(tmp_mask[cur_mask_type], cur_mask_type, | |
| p0, bw, p1, bw, bh, bw); | |
| #else | |
| (void)hbd; | |
| av1_build_compound_diffwtd_mask(tmp_mask[cur_mask_type], cur_mask_type, p0, | |
| bw, p1, bw, bh, bw); | |
| #endif // CONFIG_AV1_HIGHBITDEPTH | |
| // compute rd for mask | |
| uint64_t sse = av1_wedge_sse_from_residuals(residual1, diff10, | |
| tmp_mask[cur_mask_type], N); | |
| sse = ROUND_POWER_OF_TWO(sse, bd_round); | |
| model_rd_sse_fn[MODELRD_TYPE_MASKED_COMPOUND](cpi, x, bsize, 0, sse, N, | |
| &rate, &dist); | |
| const int64_t rd0 = RDCOST(x->rdmult, rate, dist); | |
| if (rd0 < best_rd) { | |
| best_mask_type = cur_mask_type; | |
| best_rd = rd0; | |
| *best_sse = sse; | |
| } | |
| } | |
| mbmi->interinter_comp.mask_type = best_mask_type; | |
| if (best_mask_type == DIFFWTD_38_INV) { | |
| memcpy(xd->seg_mask, seg_mask, N * 2); | |
| } | |
| return best_rd; | |
| } | |
| static int64_t pick_interintra_wedge(const AV1_COMP *const cpi, | |
| const MACROBLOCK *const x, | |
| const BLOCK_SIZE bsize, | |
| const uint8_t *const p0, | |
| const uint8_t *const p1) { | |
| const MACROBLOCKD *const xd = &x->e_mbd; | |
| MB_MODE_INFO *const mbmi = xd->mi[0]; | |
| assert(av1_is_wedge_used(bsize)); | |
| assert(cpi->common.seq_params->enable_interintra_compound); | |
| const struct buf_2d *const src = &x->plane[0].src; | |
| const int bw = block_size_wide[bsize]; | |
| const int bh = block_size_high[bsize]; | |
| DECLARE_ALIGNED(32, int16_t, residual1[MAX_SB_SQUARE]); // src - pred1 | |
| DECLARE_ALIGNED(32, int16_t, diff10[MAX_SB_SQUARE]); // pred1 - pred0 | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| if (is_cur_buf_hbd(xd)) { | |
| aom_highbd_subtract_block(bh, bw, residual1, bw, src->buf, src->stride, | |
| CONVERT_TO_BYTEPTR(p1), bw); | |
| aom_highbd_subtract_block(bh, bw, diff10, bw, CONVERT_TO_BYTEPTR(p1), bw, | |
| CONVERT_TO_BYTEPTR(p0), bw); | |
| } else { | |
| aom_subtract_block(bh, bw, residual1, bw, src->buf, src->stride, p1, bw); | |
| aom_subtract_block(bh, bw, diff10, bw, p1, bw, p0, bw); | |
| } | |
| #else | |
| aom_subtract_block(bh, bw, residual1, bw, src->buf, src->stride, p1, bw); | |
| aom_subtract_block(bh, bw, diff10, bw, p1, bw, p0, bw); | |
| #endif | |
| int8_t wedge_index = -1; | |
| uint64_t sse; | |
| int64_t rd = pick_wedge_fixed_sign(cpi, x, bsize, residual1, diff10, 0, | |
| &wedge_index, &sse); | |
| mbmi->interintra_wedge_index = wedge_index; | |
| return rd; | |
| } | |
| static inline void get_inter_predictors_masked_compound( | |
| MACROBLOCK *x, const BLOCK_SIZE bsize, uint8_t **preds0, uint8_t **preds1, | |
| int16_t *residual1, int16_t *diff10, int *strides) { | |
| MACROBLOCKD *xd = &x->e_mbd; | |
| const int bw = block_size_wide[bsize]; | |
| const int bh = block_size_high[bsize]; | |
| // get inter predictors to use for masked compound modes | |
| av1_build_inter_predictors_for_planes_single_buf(xd, bsize, 0, 0, 0, preds0, | |
| strides); | |
| av1_build_inter_predictors_for_planes_single_buf(xd, bsize, 0, 0, 1, preds1, | |
| strides); | |
| const struct buf_2d *const src = &x->plane[0].src; | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| if (is_cur_buf_hbd(xd)) { | |
| aom_highbd_subtract_block(bh, bw, residual1, bw, src->buf, src->stride, | |
| CONVERT_TO_BYTEPTR(*preds1), bw); | |
| aom_highbd_subtract_block(bh, bw, diff10, bw, CONVERT_TO_BYTEPTR(*preds1), | |
| bw, CONVERT_TO_BYTEPTR(*preds0), bw); | |
| } else { | |
| aom_subtract_block(bh, bw, residual1, bw, src->buf, src->stride, *preds1, | |
| bw); | |
| aom_subtract_block(bh, bw, diff10, bw, *preds1, bw, *preds0, bw); | |
| } | |
| #else | |
| aom_subtract_block(bh, bw, residual1, bw, src->buf, src->stride, *preds1, bw); | |
| aom_subtract_block(bh, bw, diff10, bw, *preds1, bw, *preds0, bw); | |
| #endif | |
| } | |
| // Computes the rd cost for the given interintra mode and updates the best | |
| static inline void compute_best_interintra_mode( | |
| const AV1_COMP *const cpi, MB_MODE_INFO *mbmi, MACROBLOCKD *xd, | |
| MACROBLOCK *const x, const int *const interintra_mode_cost, | |
| const BUFFER_SET *orig_dst, uint8_t *intrapred, const uint8_t *tmp_buf, | |
| INTERINTRA_MODE *best_interintra_mode, int64_t *best_interintra_rd, | |
| INTERINTRA_MODE interintra_mode, BLOCK_SIZE bsize) { | |
| const AV1_COMMON *const cm = &cpi->common; | |
| int rate; | |
| uint8_t skip_txfm_sb; | |
| int64_t dist, skip_sse_sb; | |
| const int bw = block_size_wide[bsize]; | |
| mbmi->interintra_mode = interintra_mode; | |
| int rmode = interintra_mode_cost[interintra_mode]; | |
| av1_build_intra_predictors_for_interintra(cm, xd, bsize, 0, orig_dst, | |
| intrapred, bw); | |
| av1_combine_interintra(xd, bsize, 0, tmp_buf, bw, intrapred, bw); | |
| model_rd_sb_fn[MODELRD_TYPE_INTERINTRA](cpi, bsize, x, xd, 0, 0, &rate, &dist, | |
| &skip_txfm_sb, &skip_sse_sb, NULL, | |
| NULL, NULL); | |
| int64_t rd = RDCOST(x->rdmult, rate + rmode, dist); | |
| if (rd < *best_interintra_rd) { | |
| *best_interintra_rd = rd; | |
| *best_interintra_mode = mbmi->interintra_mode; | |
| } | |
| } | |
| static int64_t estimate_yrd_for_sb(const AV1_COMP *const cpi, BLOCK_SIZE bs, | |
| MACROBLOCK *x, int64_t ref_best_rd, | |
| RD_STATS *rd_stats) { | |
| MACROBLOCKD *const xd = &x->e_mbd; | |
| if (ref_best_rd < 0) return INT64_MAX; | |
| av1_subtract_plane(x, bs, 0); | |
| const int64_t rd = av1_estimate_txfm_yrd(cpi, x, rd_stats, ref_best_rd, bs, | |
| max_txsize_rect_lookup[bs]); | |
| if (rd != INT64_MAX) { | |
| const int skip_ctx = av1_get_skip_txfm_context(xd); | |
| if (rd_stats->skip_txfm) { | |
| const int s1 = x->mode_costs.skip_txfm_cost[skip_ctx][1]; | |
| rd_stats->rate = s1; | |
| } else { | |
| const int s0 = x->mode_costs.skip_txfm_cost[skip_ctx][0]; | |
| rd_stats->rate += s0; | |
| } | |
| } | |
| return rd; | |
| } | |
| // Computes the rd_threshold for smooth interintra rd search. | |
| static inline int64_t compute_rd_thresh(MACROBLOCK *const x, | |
| int total_mode_rate, | |
| int64_t ref_best_rd) { | |
| const int64_t rd_thresh = get_rd_thresh_from_best_rd( | |
| ref_best_rd, (1 << INTER_INTRA_RD_THRESH_SHIFT), | |
| INTER_INTRA_RD_THRESH_SCALE); | |
| const int64_t mode_rd = RDCOST(x->rdmult, total_mode_rate, 0); | |
| return (rd_thresh - mode_rd); | |
| } | |
| // Computes the best wedge interintra mode | |
| static inline int64_t compute_best_wedge_interintra( | |
| const AV1_COMP *const cpi, MB_MODE_INFO *mbmi, MACROBLOCKD *xd, | |
| MACROBLOCK *const x, const int *const interintra_mode_cost, | |
| const BUFFER_SET *orig_dst, uint8_t *intrapred_, uint8_t *tmp_buf_, | |
| int *best_mode, int *best_wedge_index, BLOCK_SIZE bsize) { | |
| const AV1_COMMON *const cm = &cpi->common; | |
| const int bw = block_size_wide[bsize]; | |
| int64_t best_interintra_rd_wedge = INT64_MAX; | |
| int64_t best_total_rd = INT64_MAX; | |
| uint8_t *intrapred = get_buf_by_bd(xd, intrapred_); | |
| for (INTERINTRA_MODE mode = 0; mode < INTERINTRA_MODES; ++mode) { | |
| mbmi->interintra_mode = mode; | |
| av1_build_intra_predictors_for_interintra(cm, xd, bsize, 0, orig_dst, | |
| intrapred, bw); | |
| int64_t rd = pick_interintra_wedge(cpi, x, bsize, intrapred_, tmp_buf_); | |
| const int rate_overhead = | |
| interintra_mode_cost[mode] + | |
| x->mode_costs.wedge_idx_cost[bsize][mbmi->interintra_wedge_index]; | |
| const int64_t total_rd = rd + RDCOST(x->rdmult, rate_overhead, 0); | |
| if (total_rd < best_total_rd) { | |
| best_total_rd = total_rd; | |
| best_interintra_rd_wedge = rd; | |
| *best_mode = mbmi->interintra_mode; | |
| *best_wedge_index = mbmi->interintra_wedge_index; | |
| } | |
| } | |
| return best_interintra_rd_wedge; | |
| } | |
| static int handle_smooth_inter_intra_mode( | |
| const AV1_COMP *const cpi, MACROBLOCK *const x, BLOCK_SIZE bsize, | |
| MB_MODE_INFO *mbmi, int64_t ref_best_rd, int *rate_mv, | |
| INTERINTRA_MODE *best_interintra_mode, int64_t *best_rd, | |
| int *best_mode_rate, const BUFFER_SET *orig_dst, uint8_t *tmp_buf, | |
| uint8_t *intrapred, HandleInterModeArgs *args) { | |
| MACROBLOCKD *xd = &x->e_mbd; | |
| const ModeCosts *mode_costs = &x->mode_costs; | |
| const int *const interintra_mode_cost = | |
| mode_costs->interintra_mode_cost[size_group_lookup[bsize]]; | |
| const AV1_COMMON *const cm = &cpi->common; | |
| const int bw = block_size_wide[bsize]; | |
| mbmi->use_wedge_interintra = 0; | |
| if (cpi->sf.inter_sf.reuse_inter_intra_mode == 0 || | |
| *best_interintra_mode == INTERINTRA_MODES) { | |
| int64_t best_interintra_rd = INT64_MAX; | |
| for (INTERINTRA_MODE cur_mode = 0; cur_mode < INTERINTRA_MODES; | |
| ++cur_mode) { | |
| if ((!cpi->oxcf.intra_mode_cfg.enable_smooth_intra || | |
| cpi->sf.intra_sf.disable_smooth_intra) && | |
| cur_mode == II_SMOOTH_PRED) | |
| continue; | |
| compute_best_interintra_mode( | |
| cpi, mbmi, xd, x, interintra_mode_cost, orig_dst, intrapred, tmp_buf, | |
| best_interintra_mode, &best_interintra_rd, cur_mode, bsize); | |
| } | |
| args->inter_intra_mode[mbmi->ref_frame[0]] = *best_interintra_mode; | |
| } | |
| assert(IMPLIES(!cpi->oxcf.comp_type_cfg.enable_smooth_interintra, | |
| *best_interintra_mode != II_SMOOTH_PRED)); | |
| // Recompute prediction if required | |
| bool interintra_mode_reuse = cpi->sf.inter_sf.reuse_inter_intra_mode || | |
| *best_interintra_mode != INTERINTRA_MODES; | |
| if (interintra_mode_reuse || *best_interintra_mode != INTERINTRA_MODES - 1) { | |
| mbmi->interintra_mode = *best_interintra_mode; | |
| av1_build_intra_predictors_for_interintra(cm, xd, bsize, 0, orig_dst, | |
| intrapred, bw); | |
| av1_combine_interintra(xd, bsize, 0, tmp_buf, bw, intrapred, bw); | |
| } | |
| // Compute rd cost for best smooth_interintra | |
| RD_STATS rd_stats; | |
| const int is_wedge_used = av1_is_wedge_used(bsize); | |
| const int rmode = | |
| interintra_mode_cost[*best_interintra_mode] + | |
| (is_wedge_used ? mode_costs->wedge_interintra_cost[bsize][0] : 0); | |
| const int total_mode_rate = rmode + *rate_mv; | |
| const int64_t rd_thresh = compute_rd_thresh(x, total_mode_rate, ref_best_rd); | |
| int64_t rd = estimate_yrd_for_sb(cpi, bsize, x, rd_thresh, &rd_stats); | |
| if (rd != INT64_MAX) { | |
| rd = RDCOST(x->rdmult, total_mode_rate + rd_stats.rate, rd_stats.dist); | |
| } else { | |
| return IGNORE_MODE; | |
| } | |
| *best_rd = rd; | |
| *best_mode_rate = rmode; | |
| // Return early if best rd not good enough | |
| if (ref_best_rd < INT64_MAX && | |
| (*best_rd >> INTER_INTRA_RD_THRESH_SHIFT) * INTER_INTRA_RD_THRESH_SCALE > | |
| ref_best_rd) { | |
| return IGNORE_MODE; | |
| } | |
| return 0; | |
| } | |
| static int handle_wedge_inter_intra_mode( | |
| const AV1_COMP *const cpi, MACROBLOCK *const x, BLOCK_SIZE bsize, | |
| MB_MODE_INFO *mbmi, int *rate_mv, INTERINTRA_MODE *best_interintra_mode, | |
| int64_t *best_rd, const BUFFER_SET *orig_dst, uint8_t *tmp_buf_, | |
| uint8_t *tmp_buf, uint8_t *intrapred_, uint8_t *intrapred, | |
| HandleInterModeArgs *args, int *tmp_rate_mv, int *rate_overhead, | |
| int_mv *tmp_mv, int64_t best_rd_no_wedge) { | |
| MACROBLOCKD *xd = &x->e_mbd; | |
| const ModeCosts *mode_costs = &x->mode_costs; | |
| const int *const interintra_mode_cost = | |
| mode_costs->interintra_mode_cost[size_group_lookup[bsize]]; | |
| const AV1_COMMON *const cm = &cpi->common; | |
| const int bw = block_size_wide[bsize]; | |
| const int try_smooth_interintra = | |
| cpi->oxcf.comp_type_cfg.enable_smooth_interintra; | |
| mbmi->use_wedge_interintra = 1; | |
| if (!cpi->sf.inter_sf.fast_interintra_wedge_search) { | |
| // Exhaustive search of all wedge and mode combinations. | |
| int best_mode = 0; | |
| int best_wedge_index = 0; | |
| *best_rd = compute_best_wedge_interintra( | |
| cpi, mbmi, xd, x, interintra_mode_cost, orig_dst, intrapred_, tmp_buf_, | |
| &best_mode, &best_wedge_index, bsize); | |
| mbmi->interintra_mode = best_mode; | |
| mbmi->interintra_wedge_index = best_wedge_index; | |
| if (best_mode != INTERINTRA_MODES - 1) { | |
| av1_build_intra_predictors_for_interintra(cm, xd, bsize, 0, orig_dst, | |
| intrapred, bw); | |
| } | |
| } else if (!try_smooth_interintra) { | |
| if (*best_interintra_mode == INTERINTRA_MODES) { | |
| mbmi->interintra_mode = INTERINTRA_MODES - 1; | |
| *best_interintra_mode = INTERINTRA_MODES - 1; | |
| av1_build_intra_predictors_for_interintra(cm, xd, bsize, 0, orig_dst, | |
| intrapred, bw); | |
| // Pick wedge mask based on INTERINTRA_MODES - 1 | |
| *best_rd = pick_interintra_wedge(cpi, x, bsize, intrapred_, tmp_buf_); | |
| // Find the best interintra mode for the chosen wedge mask | |
| for (INTERINTRA_MODE cur_mode = 0; cur_mode < INTERINTRA_MODES; | |
| ++cur_mode) { | |
| compute_best_interintra_mode( | |
| cpi, mbmi, xd, x, interintra_mode_cost, orig_dst, intrapred, | |
| tmp_buf, best_interintra_mode, best_rd, cur_mode, bsize); | |
| } | |
| args->inter_intra_mode[mbmi->ref_frame[0]] = *best_interintra_mode; | |
| mbmi->interintra_mode = *best_interintra_mode; | |
| // Recompute prediction if required | |
| if (*best_interintra_mode != INTERINTRA_MODES - 1) { | |
| av1_build_intra_predictors_for_interintra(cm, xd, bsize, 0, orig_dst, | |
| intrapred, bw); | |
| } | |
| } else { | |
| // Pick wedge mask for the best interintra mode (reused) | |
| mbmi->interintra_mode = *best_interintra_mode; | |
| av1_build_intra_predictors_for_interintra(cm, xd, bsize, 0, orig_dst, | |
| intrapred, bw); | |
| *best_rd = pick_interintra_wedge(cpi, x, bsize, intrapred_, tmp_buf_); | |
| } | |
| } else { | |
| // Pick wedge mask for the best interintra mode from smooth_interintra | |
| *best_rd = pick_interintra_wedge(cpi, x, bsize, intrapred_, tmp_buf_); | |
| } | |
| *rate_overhead = | |
| interintra_mode_cost[mbmi->interintra_mode] + | |
| mode_costs->wedge_idx_cost[bsize][mbmi->interintra_wedge_index] + | |
| mode_costs->wedge_interintra_cost[bsize][1]; | |
| *best_rd += RDCOST(x->rdmult, *rate_overhead + *rate_mv, 0); | |
| int64_t rd = INT64_MAX; | |
| const int_mv mv0 = mbmi->mv[0]; | |
| // Refine motion vector for NEWMV case. | |
| if (have_newmv_in_inter_mode(mbmi->mode)) { | |
| int rate_sum; | |
| uint8_t skip_txfm_sb; | |
| int64_t dist_sum, skip_sse_sb; | |
| // get negative of mask | |
| const uint8_t *mask = | |
| av1_get_contiguous_soft_mask(mbmi->interintra_wedge_index, 1, bsize); | |
| av1_compound_single_motion_search(cpi, x, bsize, &tmp_mv->as_mv, intrapred, | |
| mask, bw, tmp_rate_mv, 0); | |
| if (mbmi->mv[0].as_int != tmp_mv->as_int) { | |
| mbmi->mv[0].as_int = tmp_mv->as_int; | |
| // Set ref_frame[1] to NONE_FRAME temporarily so that the intra | |
| // predictor is not calculated again in av1_enc_build_inter_predictor(). | |
| mbmi->ref_frame[1] = NONE_FRAME; | |
| const int mi_row = xd->mi_row; | |
| const int mi_col = xd->mi_col; | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| mbmi->ref_frame[1] = INTRA_FRAME; | |
| av1_combine_interintra(xd, bsize, 0, xd->plane[AOM_PLANE_Y].dst.buf, | |
| xd->plane[AOM_PLANE_Y].dst.stride, intrapred, bw); | |
| model_rd_sb_fn[MODELRD_TYPE_MASKED_COMPOUND]( | |
| cpi, bsize, x, xd, 0, 0, &rate_sum, &dist_sum, &skip_txfm_sb, | |
| &skip_sse_sb, NULL, NULL, NULL); | |
| rd = | |
| RDCOST(x->rdmult, *tmp_rate_mv + *rate_overhead + rate_sum, dist_sum); | |
| } | |
| } | |
| if (rd >= *best_rd) { | |
| tmp_mv->as_int = mv0.as_int; | |
| *tmp_rate_mv = *rate_mv; | |
| av1_combine_interintra(xd, bsize, 0, tmp_buf, bw, intrapred, bw); | |
| } | |
| // Evaluate closer to true rd | |
| RD_STATS rd_stats; | |
| const int64_t mode_rd = RDCOST(x->rdmult, *rate_overhead + *tmp_rate_mv, 0); | |
| const int64_t tmp_rd_thresh = best_rd_no_wedge - mode_rd; | |
| rd = estimate_yrd_for_sb(cpi, bsize, x, tmp_rd_thresh, &rd_stats); | |
| if (rd != INT64_MAX) { | |
| rd = RDCOST(x->rdmult, *rate_overhead + *tmp_rate_mv + rd_stats.rate, | |
| rd_stats.dist); | |
| } else { | |
| if (*best_rd == INT64_MAX) return IGNORE_MODE; | |
| } | |
| *best_rd = rd; | |
| return 0; | |
| } | |
| int av1_handle_inter_intra_mode(const AV1_COMP *const cpi, MACROBLOCK *const x, | |
| BLOCK_SIZE bsize, MB_MODE_INFO *mbmi, | |
| HandleInterModeArgs *args, int64_t ref_best_rd, | |
| int *rate_mv, int *tmp_rate2, | |
| const BUFFER_SET *orig_dst) { | |
| const int try_smooth_interintra = | |
| cpi->oxcf.comp_type_cfg.enable_smooth_interintra; | |
| const int is_wedge_used = av1_is_wedge_used(bsize); | |
| const int try_wedge_interintra = | |
| is_wedge_used && enable_wedge_interintra_search(x, cpi); | |
| const AV1_COMMON *const cm = &cpi->common; | |
| MACROBLOCKD *xd = &x->e_mbd; | |
| const int bw = block_size_wide[bsize]; | |
| DECLARE_ALIGNED(16, uint8_t, tmp_buf_[2 * MAX_INTERINTRA_SB_SQUARE]); | |
| DECLARE_ALIGNED(16, uint8_t, intrapred_[2 * MAX_INTERINTRA_SB_SQUARE]); | |
| uint8_t *tmp_buf = get_buf_by_bd(xd, tmp_buf_); | |
| uint8_t *intrapred = get_buf_by_bd(xd, intrapred_); | |
| const int mi_row = xd->mi_row; | |
| const int mi_col = xd->mi_col; | |
| // Single reference inter prediction | |
| mbmi->ref_frame[1] = NONE_FRAME; | |
| xd->plane[0].dst.buf = tmp_buf; | |
| xd->plane[0].dst.stride = bw; | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| const int num_planes = av1_num_planes(cm); | |
| // Restore the buffers for intra prediction | |
| restore_dst_buf(xd, *orig_dst, num_planes); | |
| mbmi->ref_frame[1] = INTRA_FRAME; | |
| INTERINTRA_MODE best_interintra_mode = | |
| args->inter_intra_mode[mbmi->ref_frame[0]]; | |
| // Compute smooth_interintra | |
| int64_t best_interintra_rd_nowedge = INT64_MAX; | |
| int best_mode_rate = INT_MAX; | |
| if (try_smooth_interintra) { | |
| int ret = handle_smooth_inter_intra_mode( | |
| cpi, x, bsize, mbmi, ref_best_rd, rate_mv, &best_interintra_mode, | |
| &best_interintra_rd_nowedge, &best_mode_rate, orig_dst, tmp_buf, | |
| intrapred, args); | |
| if (ret == IGNORE_MODE) { | |
| return IGNORE_MODE; | |
| } | |
| } | |
| // Compute wedge interintra | |
| int64_t best_interintra_rd_wedge = INT64_MAX; | |
| const int_mv mv0 = mbmi->mv[0]; | |
| int_mv tmp_mv = mv0; | |
| int tmp_rate_mv = 0; | |
| int rate_overhead = 0; | |
| if (try_wedge_interintra) { | |
| int ret = handle_wedge_inter_intra_mode( | |
| cpi, x, bsize, mbmi, rate_mv, &best_interintra_mode, | |
| &best_interintra_rd_wedge, orig_dst, tmp_buf_, tmp_buf, intrapred_, | |
| intrapred, args, &tmp_rate_mv, &rate_overhead, &tmp_mv, | |
| best_interintra_rd_nowedge); | |
| if (ret == IGNORE_MODE) { | |
| return IGNORE_MODE; | |
| } | |
| } | |
| if (best_interintra_rd_nowedge == INT64_MAX && | |
| best_interintra_rd_wedge == INT64_MAX) { | |
| return IGNORE_MODE; | |
| } | |
| if (best_interintra_rd_wedge < best_interintra_rd_nowedge) { | |
| mbmi->mv[0].as_int = tmp_mv.as_int; | |
| *tmp_rate2 += tmp_rate_mv - *rate_mv; | |
| *rate_mv = tmp_rate_mv; | |
| best_mode_rate = rate_overhead; | |
| } else if (try_smooth_interintra && try_wedge_interintra) { | |
| // If smooth was best, but we over-wrote the values when evaluating the | |
| // wedge mode, we need to recompute the smooth values. | |
| mbmi->use_wedge_interintra = 0; | |
| mbmi->interintra_mode = best_interintra_mode; | |
| mbmi->mv[0].as_int = mv0.as_int; | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| } | |
| *tmp_rate2 += best_mode_rate; | |
| if (num_planes > 1) { | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_U, num_planes - 1); | |
| } | |
| return 0; | |
| } | |
| // Computes the valid compound_types to be evaluated | |
| static inline int compute_valid_comp_types(MACROBLOCK *x, | |
| const AV1_COMP *const cpi, | |
| BLOCK_SIZE bsize, | |
| int masked_compound_used, | |
| int mode_search_mask, | |
| COMPOUND_TYPE *valid_comp_types) { | |
| const AV1_COMMON *cm = &cpi->common; | |
| int valid_type_count = 0; | |
| int comp_type, valid_check; | |
| int8_t enable_masked_type[MASKED_COMPOUND_TYPES] = { 0, 0 }; | |
| const int try_average_comp = (mode_search_mask & (1 << COMPOUND_AVERAGE)); | |
| const int try_distwtd_comp = | |
| ((mode_search_mask & (1 << COMPOUND_DISTWTD)) && | |
| cm->seq_params->order_hint_info.enable_dist_wtd_comp == 1 && | |
| cpi->sf.inter_sf.use_dist_wtd_comp_flag != DIST_WTD_COMP_DISABLED); | |
| // Check if COMPOUND_AVERAGE and COMPOUND_DISTWTD are valid cases | |
| for (comp_type = COMPOUND_AVERAGE; comp_type <= COMPOUND_DISTWTD; | |
| comp_type++) { | |
| valid_check = | |
| (comp_type == COMPOUND_AVERAGE) ? try_average_comp : try_distwtd_comp; | |
| if (valid_check && is_interinter_compound_used(comp_type, bsize)) | |
| valid_comp_types[valid_type_count++] = comp_type; | |
| } | |
| // Check if COMPOUND_WEDGE and COMPOUND_DIFFWTD are valid cases | |
| if (masked_compound_used) { | |
| // enable_masked_type[0] corresponds to COMPOUND_WEDGE | |
| // enable_masked_type[1] corresponds to COMPOUND_DIFFWTD | |
| enable_masked_type[0] = enable_wedge_interinter_search(x, cpi); | |
| enable_masked_type[1] = cpi->oxcf.comp_type_cfg.enable_diff_wtd_comp; | |
| for (comp_type = COMPOUND_WEDGE; comp_type <= COMPOUND_DIFFWTD; | |
| comp_type++) { | |
| if ((mode_search_mask & (1 << comp_type)) && | |
| is_interinter_compound_used(comp_type, bsize) && | |
| enable_masked_type[comp_type - COMPOUND_WEDGE]) | |
| valid_comp_types[valid_type_count++] = comp_type; | |
| } | |
| } | |
| return valid_type_count; | |
| } | |
| // Calculates the cost for compound type mask | |
| static inline void calc_masked_type_cost( | |
| const ModeCosts *mode_costs, BLOCK_SIZE bsize, int comp_group_idx_ctx, | |
| int comp_index_ctx, int masked_compound_used, int *masked_type_cost) { | |
| av1_zero_array(masked_type_cost, COMPOUND_TYPES); | |
| // Account for group index cost when wedge and/or diffwtd prediction are | |
| // enabled | |
| if (masked_compound_used) { | |
| // Compound group index of average and distwtd is 0 | |
| // Compound group index of wedge and diffwtd is 1 | |
| masked_type_cost[COMPOUND_AVERAGE] += | |
| mode_costs->comp_group_idx_cost[comp_group_idx_ctx][0]; | |
| masked_type_cost[COMPOUND_DISTWTD] += masked_type_cost[COMPOUND_AVERAGE]; | |
| masked_type_cost[COMPOUND_WEDGE] += | |
| mode_costs->comp_group_idx_cost[comp_group_idx_ctx][1]; | |
| masked_type_cost[COMPOUND_DIFFWTD] += masked_type_cost[COMPOUND_WEDGE]; | |
| } | |
| // Compute the cost to signal compound index/type | |
| masked_type_cost[COMPOUND_AVERAGE] += | |
| mode_costs->comp_idx_cost[comp_index_ctx][1]; | |
| masked_type_cost[COMPOUND_DISTWTD] += | |
| mode_costs->comp_idx_cost[comp_index_ctx][0]; | |
| masked_type_cost[COMPOUND_WEDGE] += mode_costs->compound_type_cost[bsize][0]; | |
| masked_type_cost[COMPOUND_DIFFWTD] += | |
| mode_costs->compound_type_cost[bsize][1]; | |
| } | |
| // Updates mbmi structure with the relevant compound type info | |
| static inline void update_mbmi_for_compound_type(MB_MODE_INFO *mbmi, | |
| COMPOUND_TYPE cur_type) { | |
| mbmi->interinter_comp.type = cur_type; | |
| mbmi->comp_group_idx = (cur_type >= COMPOUND_WEDGE); | |
| mbmi->compound_idx = (cur_type != COMPOUND_DISTWTD); | |
| } | |
| // When match is found, populate the compound type data | |
| // and calculate the rd cost using the stored stats and | |
| // update the mbmi appropriately. | |
| static inline int populate_reuse_comp_type_data( | |
| const MACROBLOCK *x, MB_MODE_INFO *mbmi, | |
| BEST_COMP_TYPE_STATS *best_type_stats, int_mv *cur_mv, int32_t *comp_rate, | |
| int64_t *comp_dist, int *comp_rs2, int *rate_mv, int64_t *rd, | |
| int match_index) { | |
| const int winner_comp_type = | |
| x->comp_rd_stats[match_index].interinter_comp.type; | |
| if (comp_rate[winner_comp_type] == INT_MAX) | |
| return best_type_stats->best_compmode_interinter_cost; | |
| update_mbmi_for_compound_type(mbmi, winner_comp_type); | |
| mbmi->interinter_comp = x->comp_rd_stats[match_index].interinter_comp; | |
| *rd = RDCOST( | |
| x->rdmult, | |
| comp_rs2[winner_comp_type] + *rate_mv + comp_rate[winner_comp_type], | |
| comp_dist[winner_comp_type]); | |
| mbmi->mv[0].as_int = cur_mv[0].as_int; | |
| mbmi->mv[1].as_int = cur_mv[1].as_int; | |
| return comp_rs2[winner_comp_type]; | |
| } | |
| // Updates rd cost and relevant compound type data for the best compound type | |
| static inline void update_best_info(const MB_MODE_INFO *const mbmi, int64_t *rd, | |
| BEST_COMP_TYPE_STATS *best_type_stats, | |
| int64_t best_rd_cur, | |
| int64_t comp_model_rd_cur, int rs2) { | |
| *rd = best_rd_cur; | |
| best_type_stats->comp_best_model_rd = comp_model_rd_cur; | |
| best_type_stats->best_compound_data = mbmi->interinter_comp; | |
| best_type_stats->best_compmode_interinter_cost = rs2; | |
| } | |
| // Updates best_mv for masked compound types | |
| static inline void update_mask_best_mv(const MB_MODE_INFO *const mbmi, | |
| int_mv *best_mv, int *best_tmp_rate_mv, | |
| int tmp_rate_mv) { | |
| *best_tmp_rate_mv = tmp_rate_mv; | |
| best_mv[0].as_int = mbmi->mv[0].as_int; | |
| best_mv[1].as_int = mbmi->mv[1].as_int; | |
| } | |
| static inline void save_comp_rd_search_stat( | |
| MACROBLOCK *x, const MB_MODE_INFO *const mbmi, const int32_t *comp_rate, | |
| const int64_t *comp_dist, const int32_t *comp_model_rate, | |
| const int64_t *comp_model_dist, const int_mv *cur_mv, const int *comp_rs2) { | |
| const int offset = x->comp_rd_stats_idx; | |
| if (offset < MAX_COMP_RD_STATS) { | |
| COMP_RD_STATS *const rd_stats = x->comp_rd_stats + offset; | |
| memcpy(rd_stats->rate, comp_rate, sizeof(rd_stats->rate)); | |
| memcpy(rd_stats->dist, comp_dist, sizeof(rd_stats->dist)); | |
| memcpy(rd_stats->model_rate, comp_model_rate, sizeof(rd_stats->model_rate)); | |
| memcpy(rd_stats->model_dist, comp_model_dist, sizeof(rd_stats->model_dist)); | |
| memcpy(rd_stats->comp_rs2, comp_rs2, sizeof(rd_stats->comp_rs2)); | |
| memcpy(rd_stats->mv, cur_mv, sizeof(rd_stats->mv)); | |
| memcpy(rd_stats->ref_frames, mbmi->ref_frame, sizeof(rd_stats->ref_frames)); | |
| rd_stats->mode = mbmi->mode; | |
| rd_stats->filter = mbmi->interp_filters; | |
| rd_stats->ref_mv_idx = mbmi->ref_mv_idx; | |
| const MACROBLOCKD *const xd = &x->e_mbd; | |
| for (int i = 0; i < 2; ++i) { | |
| const WarpedMotionParams *const wm = | |
| &xd->global_motion[mbmi->ref_frame[i]]; | |
| rd_stats->is_global[i] = is_global_mv_block(mbmi, wm->wmtype); | |
| } | |
| rd_stats->interinter_comp = mbmi->interinter_comp; | |
| ++x->comp_rd_stats_idx; | |
| } | |
| } | |
| static inline int get_interinter_compound_mask_rate( | |
| const ModeCosts *const mode_costs, const MB_MODE_INFO *const mbmi) { | |
| const COMPOUND_TYPE compound_type = mbmi->interinter_comp.type; | |
| // This function will be called only for COMPOUND_WEDGE and COMPOUND_DIFFWTD | |
| if (compound_type == COMPOUND_WEDGE) { | |
| return av1_is_wedge_used(mbmi->bsize) | |
| ? av1_cost_literal(1) + | |
| mode_costs | |
| ->wedge_idx_cost[mbmi->bsize] | |
| [mbmi->interinter_comp.wedge_index] | |
| : 0; | |
| } else { | |
| assert(compound_type == COMPOUND_DIFFWTD); | |
| return av1_cost_literal(1); | |
| } | |
| } | |
| // Takes a backup of rate, distortion and model_rd for future reuse | |
| static inline void backup_stats(COMPOUND_TYPE cur_type, int32_t *comp_rate, | |
| int64_t *comp_dist, int32_t *comp_model_rate, | |
| int64_t *comp_model_dist, int rate_sum, | |
| int64_t dist_sum, RD_STATS *rd_stats, | |
| int *comp_rs2, int rs2) { | |
| comp_rate[cur_type] = rd_stats->rate; | |
| comp_dist[cur_type] = rd_stats->dist; | |
| comp_model_rate[cur_type] = rate_sum; | |
| comp_model_dist[cur_type] = dist_sum; | |
| comp_rs2[cur_type] = rs2; | |
| } | |
| static inline int save_mask_search_results(const PREDICTION_MODE this_mode, | |
| const int reuse_level) { | |
| if (reuse_level || (this_mode == NEW_NEWMV)) | |
| return 1; | |
| else | |
| return 0; | |
| } | |
| static inline int prune_mode_by_skip_rd(const AV1_COMP *const cpi, | |
| MACROBLOCK *x, MACROBLOCKD *xd, | |
| const BLOCK_SIZE bsize, | |
| int64_t ref_skip_rd, int mode_rate) { | |
| int eval_txfm = 1; | |
| const int txfm_rd_gate_level = | |
| get_txfm_rd_gate_level(cpi->common.seq_params->enable_masked_compound, | |
| cpi->sf.inter_sf.txfm_rd_gate_level, bsize, | |
| TX_SEARCH_COMP_TYPE_MODE, /*eval_motion_mode=*/0); | |
| // Check if the mode is good enough based on skip rd | |
| if (txfm_rd_gate_level) { | |
| int64_t sse_y = compute_sse_plane(x, xd, PLANE_TYPE_Y, bsize); | |
| int64_t skip_rd = RDCOST(x->rdmult, mode_rate, (sse_y << 4)); | |
| eval_txfm = | |
| check_txfm_eval(x, bsize, ref_skip_rd, skip_rd, txfm_rd_gate_level, 1); | |
| } | |
| return eval_txfm; | |
| } | |
| static int64_t masked_compound_type_rd( | |
| const AV1_COMP *const cpi, MACROBLOCK *x, const int_mv *const cur_mv, | |
| const BLOCK_SIZE bsize, const PREDICTION_MODE this_mode, int *rs2, | |
| int rate_mv, const BUFFER_SET *ctx, int *out_rate_mv, uint8_t **preds0, | |
| uint8_t **preds1, int16_t *residual1, int16_t *diff10, int *strides, | |
| int mode_rate, int64_t rd_thresh, int *calc_pred_masked_compound, | |
| int32_t *comp_rate, int64_t *comp_dist, int32_t *comp_model_rate, | |
| int64_t *comp_model_dist, const int64_t comp_best_model_rd, | |
| int64_t *const comp_model_rd_cur, int *comp_rs2, int64_t ref_skip_rd) { | |
| const AV1_COMMON *const cm = &cpi->common; | |
| MACROBLOCKD *xd = &x->e_mbd; | |
| MB_MODE_INFO *const mbmi = xd->mi[0]; | |
| int64_t best_rd_cur = INT64_MAX; | |
| int64_t rd = INT64_MAX; | |
| const COMPOUND_TYPE compound_type = mbmi->interinter_comp.type; | |
| // This function will be called only for COMPOUND_WEDGE and COMPOUND_DIFFWTD | |
| assert(compound_type == COMPOUND_WEDGE || compound_type == COMPOUND_DIFFWTD); | |
| int rate_sum; | |
| uint8_t tmp_skip_txfm_sb; | |
| int64_t dist_sum, tmp_skip_sse_sb; | |
| pick_interinter_mask_type pick_interinter_mask[2] = { pick_interinter_wedge, | |
| pick_interinter_seg }; | |
| // TODO(any): Save pred and mask calculation as well into records. However | |
| // this may increase memory requirements as compound segment mask needs to be | |
| // stored in each record. | |
| if (*calc_pred_masked_compound) { | |
| get_inter_predictors_masked_compound(x, bsize, preds0, preds1, residual1, | |
| diff10, strides); | |
| *calc_pred_masked_compound = 0; | |
| } | |
| if (compound_type == COMPOUND_WEDGE) { | |
| unsigned int sse; | |
| if (is_cur_buf_hbd(xd)) | |
| (void)cpi->ppi->fn_ptr[bsize].vf(CONVERT_TO_BYTEPTR(*preds0), *strides, | |
| CONVERT_TO_BYTEPTR(*preds1), *strides, | |
| &sse); | |
| else | |
| (void)cpi->ppi->fn_ptr[bsize].vf(*preds0, *strides, *preds1, *strides, | |
| &sse); | |
| const unsigned int mse = | |
| ROUND_POWER_OF_TWO(sse, num_pels_log2_lookup[bsize]); | |
| // If two predictors are very similar, skip wedge compound mode search | |
| if (mse < 8 || (!have_newmv_in_inter_mode(this_mode) && mse < 64)) { | |
| *comp_model_rd_cur = INT64_MAX; | |
| return INT64_MAX; | |
| } | |
| } | |
| // Function pointer to pick the appropriate mask | |
| // compound_type == COMPOUND_WEDGE, calls pick_interinter_wedge() | |
| // compound_type == COMPOUND_DIFFWTD, calls pick_interinter_seg() | |
| uint64_t cur_sse = UINT64_MAX; | |
| best_rd_cur = pick_interinter_mask[compound_type - COMPOUND_WEDGE]( | |
| cpi, x, bsize, *preds0, *preds1, residual1, diff10, &cur_sse); | |
| *rs2 += get_interinter_compound_mask_rate(&x->mode_costs, mbmi); | |
| best_rd_cur += RDCOST(x->rdmult, *rs2 + rate_mv, 0); | |
| assert(cur_sse != UINT64_MAX); | |
| int64_t skip_rd_cur = RDCOST(x->rdmult, *rs2 + rate_mv, (cur_sse << 4)); | |
| // Although the true rate_mv might be different after motion search, but it | |
| // is unlikely to be the best mode considering the transform rd cost and other | |
| // mode overhead cost | |
| int64_t mode_rd = RDCOST(x->rdmult, *rs2 + mode_rate, 0); | |
| if (mode_rd > rd_thresh) { | |
| *comp_model_rd_cur = INT64_MAX; | |
| return INT64_MAX; | |
| } | |
| // Check if the mode is good enough based on skip rd | |
| // TODO(nithya): Handle wedge_newmv_search if extending for lower speed | |
| // setting | |
| const int txfm_rd_gate_level = | |
| get_txfm_rd_gate_level(cm->seq_params->enable_masked_compound, | |
| cpi->sf.inter_sf.txfm_rd_gate_level, bsize, | |
| TX_SEARCH_COMP_TYPE_MODE, /*eval_motion_mode=*/0); | |
| if (txfm_rd_gate_level) { | |
| int eval_txfm = check_txfm_eval(x, bsize, ref_skip_rd, skip_rd_cur, | |
| txfm_rd_gate_level, 1); | |
| if (!eval_txfm) { | |
| *comp_model_rd_cur = INT64_MAX; | |
| return INT64_MAX; | |
| } | |
| } | |
| // Compute cost if matching record not found, else, reuse data | |
| if (comp_rate[compound_type] == INT_MAX) { | |
| // Check whether new MV search for wedge is to be done | |
| int wedge_newmv_search = | |
| have_newmv_in_inter_mode(this_mode) && | |
| (compound_type == COMPOUND_WEDGE) && | |
| (!cpi->sf.inter_sf.disable_interinter_wedge_newmv_search); | |
| // Search for new MV if needed and build predictor | |
| if (wedge_newmv_search) { | |
| *out_rate_mv = av1_interinter_compound_motion_search(cpi, x, cur_mv, | |
| bsize, this_mode); | |
| const int mi_row = xd->mi_row; | |
| const int mi_col = xd->mi_col; | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, ctx, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| } else { | |
| *out_rate_mv = rate_mv; | |
| av1_build_wedge_inter_predictor_from_buf(xd, bsize, 0, 0, preds0, strides, | |
| preds1, strides); | |
| } | |
| // Get the RD cost from model RD | |
| model_rd_sb_fn[MODELRD_TYPE_MASKED_COMPOUND]( | |
| cpi, bsize, x, xd, 0, 0, &rate_sum, &dist_sum, &tmp_skip_txfm_sb, | |
| &tmp_skip_sse_sb, NULL, NULL, NULL); | |
| rd = RDCOST(x->rdmult, *rs2 + *out_rate_mv + rate_sum, dist_sum); | |
| *comp_model_rd_cur = rd; | |
| // Override with best if current is worse than best for new MV | |
| if (wedge_newmv_search) { | |
| if (rd >= best_rd_cur) { | |
| mbmi->mv[0].as_int = cur_mv[0].as_int; | |
| mbmi->mv[1].as_int = cur_mv[1].as_int; | |
| *out_rate_mv = rate_mv; | |
| av1_build_wedge_inter_predictor_from_buf(xd, bsize, 0, 0, preds0, | |
| strides, preds1, strides); | |
| *comp_model_rd_cur = best_rd_cur; | |
| } | |
| } | |
| if (cpi->sf.inter_sf.prune_comp_type_by_model_rd && | |
| (*comp_model_rd_cur > comp_best_model_rd) && | |
| comp_best_model_rd != INT64_MAX) { | |
| *comp_model_rd_cur = INT64_MAX; | |
| return INT64_MAX; | |
| } | |
| // Compute RD cost for the current type | |
| RD_STATS rd_stats; | |
| const int64_t tmp_mode_rd = RDCOST(x->rdmult, *rs2 + *out_rate_mv, 0); | |
| const int64_t tmp_rd_thresh = rd_thresh - tmp_mode_rd; | |
| rd = estimate_yrd_for_sb(cpi, bsize, x, tmp_rd_thresh, &rd_stats); | |
| if (rd != INT64_MAX) { | |
| rd = | |
| RDCOST(x->rdmult, *rs2 + *out_rate_mv + rd_stats.rate, rd_stats.dist); | |
| // Backup rate and distortion for future reuse | |
| backup_stats(compound_type, comp_rate, comp_dist, comp_model_rate, | |
| comp_model_dist, rate_sum, dist_sum, &rd_stats, comp_rs2, | |
| *rs2); | |
| } | |
| } else { | |
| // Reuse data as matching record is found | |
| assert(comp_dist[compound_type] != INT64_MAX); | |
| // When disable_interinter_wedge_newmv_search is set, motion refinement is | |
| // disabled. Hence rate and distortion can be reused in this case as well | |
| assert(IMPLIES((have_newmv_in_inter_mode(this_mode) && | |
| (compound_type == COMPOUND_WEDGE)), | |
| cpi->sf.inter_sf.disable_interinter_wedge_newmv_search)); | |
| assert(mbmi->mv[0].as_int == cur_mv[0].as_int); | |
| assert(mbmi->mv[1].as_int == cur_mv[1].as_int); | |
| *out_rate_mv = rate_mv; | |
| // Calculate RD cost based on stored stats | |
| rd = RDCOST(x->rdmult, *rs2 + *out_rate_mv + comp_rate[compound_type], | |
| comp_dist[compound_type]); | |
| // Recalculate model rdcost with the updated rate | |
| *comp_model_rd_cur = | |
| RDCOST(x->rdmult, *rs2 + *out_rate_mv + comp_model_rate[compound_type], | |
| comp_model_dist[compound_type]); | |
| } | |
| return rd; | |
| } | |
| // scaling values to be used for gating wedge/compound segment based on best | |
| // approximate rd | |
| static const int comp_type_rd_threshold_mul[3] = { 1, 11, 12 }; | |
| static const int comp_type_rd_threshold_div[3] = { 3, 16, 16 }; | |
| int av1_compound_type_rd(const AV1_COMP *const cpi, MACROBLOCK *x, | |
| HandleInterModeArgs *args, BLOCK_SIZE bsize, | |
| int_mv *cur_mv, int mode_search_mask, | |
| int masked_compound_used, const BUFFER_SET *orig_dst, | |
| const BUFFER_SET *tmp_dst, | |
| const CompoundTypeRdBuffers *buffers, int *rate_mv, | |
| int64_t *rd, RD_STATS *rd_stats, int64_t ref_best_rd, | |
| int64_t ref_skip_rd, int *is_luma_interp_done, | |
| int64_t rd_thresh) { | |
| const AV1_COMMON *cm = &cpi->common; | |
| MACROBLOCKD *xd = &x->e_mbd; | |
| MB_MODE_INFO *mbmi = xd->mi[0]; | |
| const PREDICTION_MODE this_mode = mbmi->mode; | |
| int ref_frame = av1_ref_frame_type(mbmi->ref_frame); | |
| const int bw = block_size_wide[bsize]; | |
| int rs2; | |
| int_mv best_mv[2]; | |
| int best_tmp_rate_mv = *rate_mv; | |
| BEST_COMP_TYPE_STATS best_type_stats; | |
| // Initializing BEST_COMP_TYPE_STATS | |
| best_type_stats.best_compound_data.type = COMPOUND_AVERAGE; | |
| best_type_stats.best_compmode_interinter_cost = 0; | |
| best_type_stats.comp_best_model_rd = INT64_MAX; | |
| uint8_t *preds0[1] = { buffers->pred0 }; | |
| uint8_t *preds1[1] = { buffers->pred1 }; | |
| int strides[1] = { bw }; | |
| int tmp_rate_mv; | |
| COMPOUND_TYPE cur_type; | |
| // Local array to store the mask cost for different compound types | |
| int masked_type_cost[COMPOUND_TYPES]; | |
| int calc_pred_masked_compound = 1; | |
| int64_t comp_dist[COMPOUND_TYPES] = { INT64_MAX, INT64_MAX, INT64_MAX, | |
| INT64_MAX }; | |
| int32_t comp_rate[COMPOUND_TYPES] = { INT_MAX, INT_MAX, INT_MAX, INT_MAX }; | |
| int comp_rs2[COMPOUND_TYPES] = { INT_MAX, INT_MAX, INT_MAX, INT_MAX }; | |
| int32_t comp_model_rate[COMPOUND_TYPES] = { INT_MAX, INT_MAX, INT_MAX, | |
| INT_MAX }; | |
| int64_t comp_model_dist[COMPOUND_TYPES] = { INT64_MAX, INT64_MAX, INT64_MAX, | |
| INT64_MAX }; | |
| int match_index = 0; | |
| const int match_found = | |
| find_comp_rd_in_stats(cpi, x, mbmi, comp_rate, comp_dist, comp_model_rate, | |
| comp_model_dist, comp_rs2, &match_index); | |
| best_mv[0].as_int = cur_mv[0].as_int; | |
| best_mv[1].as_int = cur_mv[1].as_int; | |
| *rd = INT64_MAX; | |
| // Local array to store the valid compound types to be evaluated in the core | |
| // loop | |
| COMPOUND_TYPE valid_comp_types[COMPOUND_TYPES] = { | |
| COMPOUND_AVERAGE, COMPOUND_DISTWTD, COMPOUND_WEDGE, COMPOUND_DIFFWTD | |
| }; | |
| int valid_type_count = 0; | |
| // compute_valid_comp_types() returns the number of valid compound types to be | |
| // evaluated and populates the same in the local array valid_comp_types[]. | |
| // It also sets the flag 'try_average_and_distwtd_comp' | |
| valid_type_count = compute_valid_comp_types( | |
| x, cpi, bsize, masked_compound_used, mode_search_mask, valid_comp_types); | |
| // The following context indices are independent of compound type | |
| const int comp_group_idx_ctx = get_comp_group_idx_context(xd); | |
| const int comp_index_ctx = get_comp_index_context(cm, xd); | |
| // Populates masked_type_cost local array for the 4 compound types | |
| calc_masked_type_cost(&x->mode_costs, bsize, comp_group_idx_ctx, | |
| comp_index_ctx, masked_compound_used, masked_type_cost); | |
| int64_t comp_model_rd_cur = INT64_MAX; | |
| int64_t best_rd_cur = ref_best_rd; | |
| const int mi_row = xd->mi_row; | |
| const int mi_col = xd->mi_col; | |
| // If the match is found, calculate the rd cost using the | |
| // stored stats and update the mbmi appropriately. | |
| if (match_found && cpi->sf.inter_sf.reuse_compound_type_decision) { | |
| return populate_reuse_comp_type_data(x, mbmi, &best_type_stats, cur_mv, | |
| comp_rate, comp_dist, comp_rs2, | |
| rate_mv, rd, match_index); | |
| } | |
| // If COMPOUND_AVERAGE is not valid, use the spare buffer | |
| if (valid_comp_types[0] != COMPOUND_AVERAGE) restore_dst_buf(xd, *tmp_dst, 1); | |
| // Loop over valid compound types | |
| for (int i = 0; i < valid_type_count; i++) { | |
| cur_type = valid_comp_types[i]; | |
| if (args->cmp_mode[ref_frame] == COMPOUND_AVERAGE) { | |
| if (cur_type == COMPOUND_WEDGE) continue; | |
| } | |
| comp_model_rd_cur = INT64_MAX; | |
| tmp_rate_mv = *rate_mv; | |
| best_rd_cur = INT64_MAX; | |
| ref_best_rd = AOMMIN(ref_best_rd, *rd); | |
| update_mbmi_for_compound_type(mbmi, cur_type); | |
| rs2 = masked_type_cost[cur_type]; | |
| int64_t mode_rd = RDCOST(x->rdmult, rs2 + rd_stats->rate, 0); | |
| if (mode_rd >= ref_best_rd) continue; | |
| // Derive the flags to indicate enabling/disabling of MV refinement process. | |
| const int enable_fast_compound_mode_search = | |
| cpi->sf.inter_sf.enable_fast_compound_mode_search; | |
| const bool skip_mv_refinement_for_avg_distwtd = | |
| enable_fast_compound_mode_search == 3 || | |
| (enable_fast_compound_mode_search == 2 && (this_mode != NEW_NEWMV)); | |
| const bool skip_mv_refinement_for_diffwtd = | |
| (!enable_fast_compound_mode_search && cur_type == COMPOUND_DIFFWTD); | |
| // Case COMPOUND_AVERAGE and COMPOUND_DISTWTD | |
| if (cur_type < COMPOUND_WEDGE) { | |
| if (skip_mv_refinement_for_avg_distwtd) { | |
| int rate_sum; | |
| uint8_t tmp_skip_txfm_sb; | |
| int64_t dist_sum, tmp_skip_sse_sb; | |
| // Reuse data if matching record is found | |
| if (comp_rate[cur_type] == INT_MAX) { | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| if (cur_type == COMPOUND_AVERAGE) *is_luma_interp_done = 1; | |
| // Compute RD cost for the current type | |
| RD_STATS est_rd_stats; | |
| const int64_t tmp_rd_thresh = AOMMIN(*rd, rd_thresh) - mode_rd; | |
| int64_t est_rd = INT64_MAX; | |
| int eval_txfm = prune_mode_by_skip_rd(cpi, x, xd, bsize, ref_skip_rd, | |
| rs2 + *rate_mv); | |
| // Evaluate further if skip rd is low enough | |
| if (eval_txfm) { | |
| est_rd = estimate_yrd_for_sb(cpi, bsize, x, tmp_rd_thresh, | |
| &est_rd_stats); | |
| } | |
| if (est_rd != INT64_MAX) { | |
| best_rd_cur = RDCOST(x->rdmult, rs2 + *rate_mv + est_rd_stats.rate, | |
| est_rd_stats.dist); | |
| model_rd_sb_fn[MODELRD_TYPE_MASKED_COMPOUND]( | |
| cpi, bsize, x, xd, 0, 0, &rate_sum, &dist_sum, | |
| &tmp_skip_txfm_sb, &tmp_skip_sse_sb, NULL, NULL, NULL); | |
| comp_model_rd_cur = | |
| RDCOST(x->rdmult, rs2 + *rate_mv + rate_sum, dist_sum); | |
| // Backup rate and distortion for future reuse | |
| backup_stats(cur_type, comp_rate, comp_dist, comp_model_rate, | |
| comp_model_dist, rate_sum, dist_sum, &est_rd_stats, | |
| comp_rs2, rs2); | |
| } | |
| } else { | |
| // Calculate RD cost based on stored stats | |
| assert(comp_dist[cur_type] != INT64_MAX); | |
| best_rd_cur = RDCOST(x->rdmult, rs2 + *rate_mv + comp_rate[cur_type], | |
| comp_dist[cur_type]); | |
| // Recalculate model rdcost with the updated rate | |
| comp_model_rd_cur = | |
| RDCOST(x->rdmult, rs2 + *rate_mv + comp_model_rate[cur_type], | |
| comp_model_dist[cur_type]); | |
| } | |
| } else { | |
| tmp_rate_mv = *rate_mv; | |
| if (have_newmv_in_inter_mode(this_mode)) { | |
| InterPredParams inter_pred_params; | |
| av1_dist_wtd_comp_weight_assign( | |
| &cpi->common, mbmi, &inter_pred_params.conv_params.fwd_offset, | |
| &inter_pred_params.conv_params.bck_offset, | |
| &inter_pred_params.conv_params.use_dist_wtd_comp_avg, 1); | |
| int mask_value = inter_pred_params.conv_params.fwd_offset * 4; | |
| memset(xd->seg_mask, mask_value, | |
| sizeof(xd->seg_mask[0]) * 2 * MAX_SB_SQUARE); | |
| tmp_rate_mv = av1_interinter_compound_motion_search(cpi, x, cur_mv, | |
| bsize, this_mode); | |
| } | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| if (cur_type == COMPOUND_AVERAGE) *is_luma_interp_done = 1; | |
| int eval_txfm = prune_mode_by_skip_rd(cpi, x, xd, bsize, ref_skip_rd, | |
| rs2 + *rate_mv); | |
| if (eval_txfm) { | |
| RD_STATS est_rd_stats; | |
| estimate_yrd_for_sb(cpi, bsize, x, INT64_MAX, &est_rd_stats); | |
| best_rd_cur = RDCOST(x->rdmult, rs2 + tmp_rate_mv + est_rd_stats.rate, | |
| est_rd_stats.dist); | |
| } | |
| } | |
| // use spare buffer for following compound type try | |
| if (cur_type == COMPOUND_AVERAGE) restore_dst_buf(xd, *tmp_dst, 1); | |
| } else if (cur_type == COMPOUND_WEDGE) { | |
| int best_mask_index = 0; | |
| int best_wedge_sign = 0; | |
| int_mv tmp_mv[2] = { mbmi->mv[0], mbmi->mv[1] }; | |
| int best_rs2 = 0; | |
| int best_rate_mv = *rate_mv; | |
| int wedge_mask_size = get_wedge_types_lookup(bsize); | |
| int need_mask_search = args->wedge_index == -1; | |
| int wedge_newmv_search = | |
| have_newmv_in_inter_mode(this_mode) && | |
| !cpi->sf.inter_sf.disable_interinter_wedge_newmv_search; | |
| if (need_mask_search && !wedge_newmv_search) { | |
| // short cut repeated single reference block build | |
| av1_build_inter_predictors_for_planes_single_buf(xd, bsize, 0, 0, 0, | |
| preds0, strides); | |
| av1_build_inter_predictors_for_planes_single_buf(xd, bsize, 0, 0, 1, | |
| preds1, strides); | |
| } | |
| for (int wedge_mask = 0; wedge_mask < wedge_mask_size && need_mask_search; | |
| ++wedge_mask) { | |
| for (int wedge_sign = 0; wedge_sign < 2; ++wedge_sign) { | |
| tmp_rate_mv = *rate_mv; | |
| mbmi->interinter_comp.wedge_index = wedge_mask; | |
| mbmi->interinter_comp.wedge_sign = wedge_sign; | |
| rs2 = masked_type_cost[cur_type]; | |
| rs2 += get_interinter_compound_mask_rate(&x->mode_costs, mbmi); | |
| mode_rd = RDCOST(x->rdmult, rs2 + rd_stats->rate, 0); | |
| if (mode_rd >= ref_best_rd / 2) continue; | |
| if (wedge_newmv_search) { | |
| tmp_rate_mv = av1_interinter_compound_motion_search( | |
| cpi, x, cur_mv, bsize, this_mode); | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, | |
| bsize, AOM_PLANE_Y, AOM_PLANE_Y); | |
| } else { | |
| av1_build_wedge_inter_predictor_from_buf(xd, bsize, 0, 0, preds0, | |
| strides, preds1, strides); | |
| } | |
| RD_STATS est_rd_stats; | |
| int64_t this_rd_cur = INT64_MAX; | |
| int eval_txfm = prune_mode_by_skip_rd(cpi, x, xd, bsize, ref_skip_rd, | |
| rs2 + *rate_mv); | |
| if (eval_txfm) { | |
| this_rd_cur = estimate_yrd_for_sb( | |
| cpi, bsize, x, AOMMIN(best_rd_cur, ref_best_rd), &est_rd_stats); | |
| } | |
| if (this_rd_cur < INT64_MAX) { | |
| this_rd_cur = | |
| RDCOST(x->rdmult, rs2 + tmp_rate_mv + est_rd_stats.rate, | |
| est_rd_stats.dist); | |
| } | |
| if (this_rd_cur < best_rd_cur) { | |
| best_mask_index = wedge_mask; | |
| best_wedge_sign = wedge_sign; | |
| best_rd_cur = this_rd_cur; | |
| tmp_mv[0] = mbmi->mv[0]; | |
| tmp_mv[1] = mbmi->mv[1]; | |
| best_rate_mv = tmp_rate_mv; | |
| best_rs2 = rs2; | |
| } | |
| } | |
| // Consider the asymmetric partitions for oblique angle only if the | |
| // corresponding symmetric partition is the best so far. | |
| // Note: For horizontal and vertical types, both symmetric and | |
| // asymmetric partitions are always considered. | |
| if (cpi->sf.inter_sf.enable_fast_wedge_mask_search) { | |
| // The first 4 entries in wedge_codebook_16_heqw/hltw/hgtw[16] | |
| // correspond to symmetric partitions of the 4 oblique angles, the | |
| // next 4 entries correspond to the vertical/horizontal | |
| // symmetric/asymmetric partitions and the last 8 entries correspond | |
| // to the asymmetric partitions of oblique types. | |
| const int idx_before_asym_oblique = 7; | |
| const int last_oblique_sym_idx = 3; | |
| if (wedge_mask == idx_before_asym_oblique) { | |
| if (best_mask_index > last_oblique_sym_idx) { | |
| break; | |
| } else { | |
| // Asymmetric (Index-1) map for the corresponding oblique masks. | |
| // WEDGE_OBLIQUE27: sym - 0, asym - 8, 9 | |
| // WEDGE_OBLIQUE63: sym - 1, asym - 12, 13 | |
| // WEDGE_OBLIQUE117: sym - 2, asym - 14, 15 | |
| // WEDGE_OBLIQUE153: sym - 3, asym - 10, 11 | |
| const int asym_mask_idx[4] = { 7, 11, 13, 9 }; | |
| wedge_mask = asym_mask_idx[best_mask_index]; | |
| wedge_mask_size = wedge_mask + 3; | |
| } | |
| } | |
| } | |
| } | |
| if (need_mask_search) { | |
| if (save_mask_search_results( | |
| this_mode, cpi->sf.inter_sf.reuse_mask_search_results)) { | |
| args->wedge_index = best_mask_index; | |
| args->wedge_sign = best_wedge_sign; | |
| } | |
| } else { | |
| mbmi->interinter_comp.wedge_index = args->wedge_index; | |
| mbmi->interinter_comp.wedge_sign = args->wedge_sign; | |
| rs2 = masked_type_cost[cur_type]; | |
| rs2 += get_interinter_compound_mask_rate(&x->mode_costs, mbmi); | |
| if (wedge_newmv_search) { | |
| tmp_rate_mv = av1_interinter_compound_motion_search(cpi, x, cur_mv, | |
| bsize, this_mode); | |
| } | |
| best_mask_index = args->wedge_index; | |
| best_wedge_sign = args->wedge_sign; | |
| tmp_mv[0] = mbmi->mv[0]; | |
| tmp_mv[1] = mbmi->mv[1]; | |
| best_rate_mv = tmp_rate_mv; | |
| best_rs2 = masked_type_cost[cur_type]; | |
| best_rs2 += get_interinter_compound_mask_rate(&x->mode_costs, mbmi); | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| int eval_txfm = prune_mode_by_skip_rd(cpi, x, xd, bsize, ref_skip_rd, | |
| best_rs2 + *rate_mv); | |
| if (eval_txfm) { | |
| RD_STATS est_rd_stats; | |
| estimate_yrd_for_sb(cpi, bsize, x, INT64_MAX, &est_rd_stats); | |
| best_rd_cur = | |
| RDCOST(x->rdmult, best_rs2 + tmp_rate_mv + est_rd_stats.rate, | |
| est_rd_stats.dist); | |
| } | |
| } | |
| mbmi->interinter_comp.wedge_index = best_mask_index; | |
| mbmi->interinter_comp.wedge_sign = best_wedge_sign; | |
| mbmi->mv[0] = tmp_mv[0]; | |
| mbmi->mv[1] = tmp_mv[1]; | |
| tmp_rate_mv = best_rate_mv; | |
| rs2 = best_rs2; | |
| } else if (skip_mv_refinement_for_diffwtd) { | |
| int_mv tmp_mv[2]; | |
| int best_mask_index = 0; | |
| rs2 += get_interinter_compound_mask_rate(&x->mode_costs, mbmi); | |
| int need_mask_search = args->diffwtd_index == -1; | |
| for (int mask_index = 0; mask_index < 2 && need_mask_search; | |
| ++mask_index) { | |
| tmp_rate_mv = *rate_mv; | |
| mbmi->interinter_comp.mask_type = mask_index; | |
| if (have_newmv_in_inter_mode(this_mode)) { | |
| // hard coded number for diff wtd | |
| int mask_value = mask_index == 0 ? 38 : 26; | |
| memset(xd->seg_mask, mask_value, | |
| sizeof(xd->seg_mask[0]) * 2 * MAX_SB_SQUARE); | |
| tmp_rate_mv = av1_interinter_compound_motion_search(cpi, x, cur_mv, | |
| bsize, this_mode); | |
| } | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| RD_STATS est_rd_stats; | |
| int64_t this_rd_cur = INT64_MAX; | |
| int eval_txfm = prune_mode_by_skip_rd(cpi, x, xd, bsize, ref_skip_rd, | |
| rs2 + *rate_mv); | |
| if (eval_txfm) { | |
| this_rd_cur = | |
| estimate_yrd_for_sb(cpi, bsize, x, ref_best_rd, &est_rd_stats); | |
| } | |
| if (this_rd_cur < INT64_MAX) { | |
| this_rd_cur = RDCOST(x->rdmult, rs2 + tmp_rate_mv + est_rd_stats.rate, | |
| est_rd_stats.dist); | |
| } | |
| if (this_rd_cur < best_rd_cur) { | |
| best_rd_cur = this_rd_cur; | |
| best_mask_index = mbmi->interinter_comp.mask_type; | |
| tmp_mv[0] = mbmi->mv[0]; | |
| tmp_mv[1] = mbmi->mv[1]; | |
| } | |
| } | |
| if (need_mask_search) { | |
| if (save_mask_search_results(this_mode, 0)) | |
| args->diffwtd_index = best_mask_index; | |
| } else { | |
| mbmi->interinter_comp.mask_type = args->diffwtd_index; | |
| rs2 = masked_type_cost[cur_type]; | |
| rs2 += get_interinter_compound_mask_rate(&x->mode_costs, mbmi); | |
| int mask_value = mbmi->interinter_comp.mask_type == 0 ? 38 : 26; | |
| memset(xd->seg_mask, mask_value, | |
| sizeof(xd->seg_mask[0]) * 2 * MAX_SB_SQUARE); | |
| if (have_newmv_in_inter_mode(this_mode)) { | |
| tmp_rate_mv = av1_interinter_compound_motion_search(cpi, x, cur_mv, | |
| bsize, this_mode); | |
| } | |
| best_mask_index = mbmi->interinter_comp.mask_type; | |
| tmp_mv[0] = mbmi->mv[0]; | |
| tmp_mv[1] = mbmi->mv[1]; | |
| av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, | |
| AOM_PLANE_Y, AOM_PLANE_Y); | |
| RD_STATS est_rd_stats; | |
| int64_t this_rd_cur = INT64_MAX; | |
| int eval_txfm = prune_mode_by_skip_rd(cpi, x, xd, bsize, ref_skip_rd, | |
| rs2 + *rate_mv); | |
| if (eval_txfm) { | |
| this_rd_cur = | |
| estimate_yrd_for_sb(cpi, bsize, x, ref_best_rd, &est_rd_stats); | |
| } | |
| if (this_rd_cur < INT64_MAX) { | |
| best_rd_cur = RDCOST(x->rdmult, rs2 + tmp_rate_mv + est_rd_stats.rate, | |
| est_rd_stats.dist); | |
| } | |
| } | |
| mbmi->interinter_comp.mask_type = best_mask_index; | |
| mbmi->mv[0] = tmp_mv[0]; | |
| mbmi->mv[1] = tmp_mv[1]; | |
| } else { | |
| // Handle masked compound types | |
| bool eval_masked_comp_type = true; | |
| if (*rd != INT64_MAX) { | |
| // Factors to control gating of compound type selection based on best | |
| // approximate rd so far | |
| const int max_comp_type_rd_threshold_mul = | |
| comp_type_rd_threshold_mul[cpi->sf.inter_sf | |
| .prune_comp_type_by_comp_avg]; | |
| const int max_comp_type_rd_threshold_div = | |
| comp_type_rd_threshold_div[cpi->sf.inter_sf | |
| .prune_comp_type_by_comp_avg]; | |
| // Evaluate COMPOUND_WEDGE / COMPOUND_DIFFWTD if approximated cost is | |
| // within threshold | |
| const int64_t approx_rd = ((*rd / max_comp_type_rd_threshold_div) * | |
| max_comp_type_rd_threshold_mul); | |
| if (approx_rd >= ref_best_rd) eval_masked_comp_type = false; | |
| } | |
| if (eval_masked_comp_type) { | |
| const int64_t tmp_rd_thresh = AOMMIN(*rd, rd_thresh); | |
| best_rd_cur = masked_compound_type_rd( | |
| cpi, x, cur_mv, bsize, this_mode, &rs2, *rate_mv, orig_dst, | |
| &tmp_rate_mv, preds0, preds1, buffers->residual1, buffers->diff10, | |
| strides, rd_stats->rate, tmp_rd_thresh, &calc_pred_masked_compound, | |
| comp_rate, comp_dist, comp_model_rate, comp_model_dist, | |
| best_type_stats.comp_best_model_rd, &comp_model_rd_cur, comp_rs2, | |
| ref_skip_rd); | |
| } | |
| } | |
| // Update stats for best compound type | |
| if (best_rd_cur < *rd) { | |
| update_best_info(mbmi, rd, &best_type_stats, best_rd_cur, | |
| comp_model_rd_cur, rs2); | |
| if (have_newmv_in_inter_mode(this_mode)) | |
| update_mask_best_mv(mbmi, best_mv, &best_tmp_rate_mv, tmp_rate_mv); | |
| } | |
| // reset to original mvs for next iteration | |
| mbmi->mv[0].as_int = cur_mv[0].as_int; | |
| mbmi->mv[1].as_int = cur_mv[1].as_int; | |
| } | |
| mbmi->comp_group_idx = | |
| (best_type_stats.best_compound_data.type < COMPOUND_WEDGE) ? 0 : 1; | |
| mbmi->compound_idx = | |
| !(best_type_stats.best_compound_data.type == COMPOUND_DISTWTD); | |
| mbmi->interinter_comp = best_type_stats.best_compound_data; | |
| if (have_newmv_in_inter_mode(this_mode)) { | |
| mbmi->mv[0].as_int = best_mv[0].as_int; | |
| mbmi->mv[1].as_int = best_mv[1].as_int; | |
| rd_stats->rate += best_tmp_rate_mv - *rate_mv; | |
| *rate_mv = best_tmp_rate_mv; | |
| } | |
| if (this_mode == NEW_NEWMV) | |
| args->cmp_mode[ref_frame] = mbmi->interinter_comp.type; | |
| restore_dst_buf(xd, *orig_dst, 1); | |
| if (!match_found) | |
| save_comp_rd_search_stat(x, mbmi, comp_rate, comp_dist, comp_model_rate, | |
| comp_model_dist, cur_mv, comp_rs2); | |
| return best_type_stats.best_compmode_interinter_cost; | |
| } |