| /* |
| * 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); |
| // int rate2; |
| // int64_t dist2; |
| // model_rd_with_curvfit(cpi, x, bsize, 0, sse, N, &rate2, &dist2); |
| // printf("sse %"PRId64": leagacy: %d %"PRId64", curvfit %d %"PRId64"\n", |
| // sse, rate, dist, rate2, dist2); dist = dist2; |
| // rate = rate2; |
| |
| 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 AOM_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 AOM_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 AOM_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); |
| } |
| memcpy(&rd_stats->interinter_comp, &mbmi->interinter_comp, |
| sizeof(rd_stats->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; |
| // Check if the mode is good enough based on skip rd |
| if (cpi->sf.inter_sf.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, |
| cpi->sf.inter_sf.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 |
| if (cpi->sf.inter_sf.txfm_rd_gate_level) { |
| int eval_txfm = check_txfm_eval(x, bsize, ref_skip_rd, skip_rd_cur, |
| cpi->sf.inter_sf.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 int comp_type_rd_threshold_mul[3] = { 1, 11, 12 }; |
| static 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 |
| // 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 |
| int64_t approx_rd = ((*rd / max_comp_type_rd_threshold_div) * |
| max_comp_type_rd_threshold_mul); |
| |
| if (approx_rd < ref_best_rd) { |
| 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; |
| } |