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Diffstat (limited to '')
| -rw-r--r-- | third_party/aom/av1/encoder/nonrd_pickmode.c | 3537 |
1 files changed, 3537 insertions, 0 deletions
diff --git a/third_party/aom/av1/encoder/nonrd_pickmode.c b/third_party/aom/av1/encoder/nonrd_pickmode.c new file mode 100644 index 0000000000..f939b6d1fa --- /dev/null +++ b/third_party/aom/av1/encoder/nonrd_pickmode.c @@ -0,0 +1,3537 @@ +/* + * Copyright (c) 2016, Alliance for Open Media. All rights reserved + * + * This source code is subject to the terms of the BSD 2 Clause License and + * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License + * was not distributed with this source code in the LICENSE file, you can + * obtain it at www.aomedia.org/license/software. If the Alliance for Open + * Media Patent License 1.0 was not distributed with this source code in the + * PATENTS file, you can obtain it at www.aomedia.org/license/patent. + + */ + +#include <assert.h> +#include <limits.h> +#include <math.h> +#include <stdio.h> + +#include "av1/common/reconinter.h" +#include "av1/common/reconintra.h" + +#include "av1/encoder/encodemv.h" +#include "av1/encoder/intra_mode_search.h" +#include "av1/encoder/model_rd.h" +#include "av1/encoder/motion_search_facade.h" +#include "av1/encoder/nonrd_opt.h" +#include "av1/encoder/reconinter_enc.h" +#include "av1/encoder/var_based_part.h" + +static INLINE int early_term_inter_search_with_sse(int early_term_idx, + BLOCK_SIZE bsize, + int64_t this_sse, + int64_t best_sse, + PREDICTION_MODE this_mode) { + // Aggressiveness to terminate inter mode search early is adjusted based on + // speed and block size. + static const double early_term_thresh[4][4] = { { 0.65, 0.65, 0.65, 0.7 }, + { 0.6, 0.65, 0.85, 0.9 }, + { 0.5, 0.5, 0.55, 0.6 }, + { 0.6, 0.75, 0.85, 0.85 } }; + static const double early_term_thresh_newmv_nearestmv[4] = { 0.3, 0.3, 0.3, + 0.3 }; + + const int size_group = size_group_lookup[bsize]; + assert(size_group < 4); + assert((early_term_idx > 0) && (early_term_idx < EARLY_TERM_INDICES)); + const double threshold = + ((early_term_idx == EARLY_TERM_IDX_4) && + (this_mode == NEWMV || this_mode == NEARESTMV)) + ? early_term_thresh_newmv_nearestmv[size_group] + : early_term_thresh[early_term_idx - 1][size_group]; + + // Terminate inter mode search early based on best sse so far. + if ((early_term_idx > 0) && (threshold * this_sse > best_sse)) { + return 1; + } + return 0; +} + +static INLINE void init_best_pickmode(BEST_PICKMODE *bp) { + bp->best_sse = INT64_MAX; + bp->best_mode = NEARESTMV; + bp->best_ref_frame = LAST_FRAME; + bp->best_second_ref_frame = NONE_FRAME; + bp->best_tx_size = TX_8X8; + bp->tx_type = DCT_DCT; + bp->best_pred_filter = av1_broadcast_interp_filter(EIGHTTAP_REGULAR); + bp->best_mode_skip_txfm = 0; + bp->best_mode_initial_skip_flag = 0; + bp->best_pred = NULL; + bp->best_motion_mode = SIMPLE_TRANSLATION; + bp->num_proj_ref = 0; + av1_zero(bp->wm_params); + av1_zero(bp->pmi); +} + +// Copy best inter mode parameters to best_pickmode +static INLINE void update_search_state_nonrd( + InterModeSearchStateNonrd *search_state, MB_MODE_INFO *const mi, + TxfmSearchInfo *txfm_info, RD_STATS *nonskip_rdc, PICK_MODE_CONTEXT *ctx, + PREDICTION_MODE this_best_mode, const int64_t sse_y) { + BEST_PICKMODE *const best_pickmode = &search_state->best_pickmode; + + best_pickmode->best_sse = sse_y; + best_pickmode->best_mode = this_best_mode; + best_pickmode->best_motion_mode = mi->motion_mode; + best_pickmode->wm_params = mi->wm_params; + best_pickmode->num_proj_ref = mi->num_proj_ref; + best_pickmode->best_pred_filter = mi->interp_filters; + best_pickmode->best_tx_size = mi->tx_size; + best_pickmode->best_ref_frame = mi->ref_frame[0]; + best_pickmode->best_second_ref_frame = mi->ref_frame[1]; + best_pickmode->best_mode_skip_txfm = search_state->this_rdc.skip_txfm; + best_pickmode->best_mode_initial_skip_flag = + (nonskip_rdc->rate == INT_MAX && search_state->this_rdc.skip_txfm); + if (!best_pickmode->best_mode_skip_txfm) { + memcpy(ctx->blk_skip, txfm_info->blk_skip, + sizeof(txfm_info->blk_skip[0]) * ctx->num_4x4_blk); + } +} + +static INLINE int subpel_select(AV1_COMP *cpi, MACROBLOCK *x, BLOCK_SIZE bsize, + int_mv *mv, MV ref_mv, FULLPEL_MV start_mv, + bool fullpel_performed_well) { + const int frame_lowmotion = cpi->rc.avg_frame_low_motion; + const int reduce_mv_pel_precision_highmotion = + cpi->sf.rt_sf.reduce_mv_pel_precision_highmotion; + + // Reduce MV precision for higher int MV value & frame-level motion + if (reduce_mv_pel_precision_highmotion >= 3) { + int mv_thresh = 4; + const int is_low_resoln = + (cpi->common.width * cpi->common.height <= 320 * 240); + mv_thresh = (bsize > BLOCK_32X32) ? 2 : (bsize > BLOCK_16X16) ? 4 : 6; + if (frame_lowmotion > 0 && frame_lowmotion < 40) mv_thresh = 12; + mv_thresh = (is_low_resoln) ? mv_thresh >> 1 : mv_thresh; + if (abs(mv->as_fullmv.row) >= mv_thresh || + abs(mv->as_fullmv.col) >= mv_thresh) + return HALF_PEL; + } else if (reduce_mv_pel_precision_highmotion >= 1) { + int mv_thresh; + const int th_vals[2][3] = { { 4, 8, 10 }, { 4, 6, 8 } }; + const int th_idx = reduce_mv_pel_precision_highmotion - 1; + assert(th_idx >= 0 && th_idx < 2); + if (frame_lowmotion > 0 && frame_lowmotion < 40) + mv_thresh = 12; + else + mv_thresh = (bsize >= BLOCK_32X32) ? th_vals[th_idx][0] + : (bsize >= BLOCK_16X16) ? th_vals[th_idx][1] + : th_vals[th_idx][2]; + if (abs(mv->as_fullmv.row) >= (mv_thresh << 1) || + abs(mv->as_fullmv.col) >= (mv_thresh << 1)) + return FULL_PEL; + else if (abs(mv->as_fullmv.row) >= mv_thresh || + abs(mv->as_fullmv.col) >= mv_thresh) + return HALF_PEL; + } + // Reduce MV precision for relatively static (e.g. background), low-complex + // large areas + if (cpi->sf.rt_sf.reduce_mv_pel_precision_lowcomplex >= 2) { + const int qband = x->qindex >> (QINDEX_BITS - 2); + assert(qband < 4); + if (x->content_state_sb.source_sad_nonrd <= kVeryLowSad && + bsize > BLOCK_16X16 && qband != 0) { + if (x->source_variance < 500) + return FULL_PEL; + else if (x->source_variance < 5000) + return HALF_PEL; + } + } else if (cpi->sf.rt_sf.reduce_mv_pel_precision_lowcomplex >= 1) { + if (fullpel_performed_well && ref_mv.row == 0 && ref_mv.col == 0 && + start_mv.row == 0 && start_mv.col == 0) + return HALF_PEL; + } + return cpi->sf.mv_sf.subpel_force_stop; +} + +static bool use_aggressive_subpel_search_method(MACROBLOCK *x, + bool use_adaptive_subpel_search, + bool fullpel_performed_well) { + if (!use_adaptive_subpel_search) return false; + const int qband = x->qindex >> (QINDEX_BITS - 2); + assert(qband < 4); + if ((qband > 0) && (fullpel_performed_well || + (x->content_state_sb.source_sad_nonrd <= kLowSad) || + (x->source_variance < 100))) + return true; + return false; +} + +/*!\brief Runs Motion Estimation for a specific block and specific ref frame. + * + * \ingroup nonrd_mode_search + * \callgraph + * \callergraph + * Finds the best Motion Vector by running Motion Estimation for a specific + * block and a specific reference frame. Exits early if RDCost of Full Pel part + * exceeds best RD Cost fund so far + * \param[in] cpi Top-level encoder structure + * \param[in] x Pointer to structure holding all the + * data for the current macroblock + * \param[in] bsize Current block size + * \param[in] tmp_mv Pointer to best found New MV + * \param[in] rate_mv Pointer to Rate of the best new MV + * \param[in] best_rd_sofar RD Cost of the best mode found so far + * \param[in] use_base_mv Flag, indicating that tmp_mv holds + * specific MV to start the search with + * + * \return Returns 0 if ME was terminated after Full Pel Search because too + * high RD Cost. Otherwise returns 1. Best New MV is placed into \c tmp_mv. + * Rate estimation for this vector is placed to \c rate_mv + */ +static int combined_motion_search(AV1_COMP *cpi, MACROBLOCK *x, + BLOCK_SIZE bsize, int_mv *tmp_mv, + int *rate_mv, int64_t best_rd_sofar, + int use_base_mv) { + MACROBLOCKD *xd = &x->e_mbd; + const AV1_COMMON *cm = &cpi->common; + const SPEED_FEATURES *sf = &cpi->sf; + MB_MODE_INFO *mi = xd->mi[0]; + int step_param = (sf->rt_sf.fullpel_search_step_param) + ? sf->rt_sf.fullpel_search_step_param + : cpi->mv_search_params.mv_step_param; + FULLPEL_MV start_mv; + const int ref = mi->ref_frame[0]; + const MV ref_mv = av1_get_ref_mv(x, mi->ref_mv_idx).as_mv; + MV center_mv; + int dis; + int rv = 0; + int cost_list[5]; + int search_subpel = 1; + + start_mv = get_fullmv_from_mv(&ref_mv); + + if (!use_base_mv) + center_mv = ref_mv; + else + center_mv = tmp_mv->as_mv; + + const SEARCH_METHODS search_method = + av1_get_default_mv_search_method(x, &cpi->sf.mv_sf, bsize); + const search_site_config *src_search_sites = + av1_get_search_site_config(cpi, x, search_method); + FULLPEL_MOTION_SEARCH_PARAMS full_ms_params; + FULLPEL_MV_STATS best_mv_stats; + av1_make_default_fullpel_ms_params(&full_ms_params, cpi, x, bsize, ¢er_mv, + start_mv, src_search_sites, search_method, + /*fine_search_interval=*/0); + + const unsigned int full_var_rd = av1_full_pixel_search( + start_mv, &full_ms_params, step_param, cond_cost_list(cpi, cost_list), + &tmp_mv->as_fullmv, &best_mv_stats, NULL); + + // calculate the bit cost on motion vector + MV mvp_full = get_mv_from_fullmv(&tmp_mv->as_fullmv); + + *rate_mv = av1_mv_bit_cost(&mvp_full, &ref_mv, x->mv_costs->nmv_joint_cost, + x->mv_costs->mv_cost_stack, MV_COST_WEIGHT); + + // TODO(kyslov) Account for Rate Mode! + rv = !(RDCOST(x->rdmult, (*rate_mv), 0) > best_rd_sofar); + + if (rv && search_subpel) { + SUBPEL_MOTION_SEARCH_PARAMS ms_params; + av1_make_default_subpel_ms_params(&ms_params, cpi, x, bsize, &ref_mv, + cost_list); + const bool fullpel_performed_well = + (bsize == BLOCK_64X64 && full_var_rd * 40 < 62267 * 7) || + (bsize == BLOCK_32X32 && full_var_rd * 8 < 42380) || + (bsize == BLOCK_16X16 && full_var_rd * 8 < 10127); + if (sf->rt_sf.reduce_mv_pel_precision_highmotion || + sf->rt_sf.reduce_mv_pel_precision_lowcomplex) + ms_params.forced_stop = subpel_select(cpi, x, bsize, tmp_mv, ref_mv, + start_mv, fullpel_performed_well); + + MV subpel_start_mv = get_mv_from_fullmv(&tmp_mv->as_fullmv); + assert(av1_is_subpelmv_in_range(&ms_params.mv_limits, subpel_start_mv)); + // adaptively downgrade subpel search method based on block properties + if (use_aggressive_subpel_search_method( + x, sf->rt_sf.use_adaptive_subpel_search, fullpel_performed_well)) + av1_find_best_sub_pixel_tree_pruned_more( + xd, cm, &ms_params, subpel_start_mv, &best_mv_stats, &tmp_mv->as_mv, + &dis, &x->pred_sse[ref], NULL); + else + cpi->mv_search_params.find_fractional_mv_step( + xd, cm, &ms_params, subpel_start_mv, &best_mv_stats, &tmp_mv->as_mv, + &dis, &x->pred_sse[ref], NULL); + *rate_mv = + av1_mv_bit_cost(&tmp_mv->as_mv, &ref_mv, x->mv_costs->nmv_joint_cost, + x->mv_costs->mv_cost_stack, MV_COST_WEIGHT); + } + // The final MV can not be equal to the reference MV as this will trigger an + // assert later. This can happen if both NEAREST and NEAR modes were skipped. + rv = (tmp_mv->as_mv.col != ref_mv.col || tmp_mv->as_mv.row != ref_mv.row); + return rv; +} + +/*!\brief Searches for the best New Motion Vector. + * + * \ingroup nonrd_mode_search + * \callgraph + * \callergraph + * Finds the best Motion Vector by doing Motion Estimation. Uses reduced + * complexity ME for non-LAST frames or calls \c combined_motion_search + * for LAST reference frame + * \param[in] cpi Top-level encoder structure + * \param[in] x Pointer to structure holding all the + * data for the current macroblock + * \param[in] frame_mv Array that holds MVs for all modes + * and ref frames + * \param[in] ref_frame Reference frame for which to find + * the best New MVs + * \param[in] gf_temporal_ref Flag, indicating temporal reference + * for GOLDEN frame + * \param[in] bsize Current block size + * \param[in] mi_row Row index in 4x4 units + * \param[in] mi_col Column index in 4x4 units + * \param[in] rate_mv Pointer to Rate of the best new MV + * \param[in] best_rdc Pointer to the RD Cost for the best + * mode found so far + * + * \return Returns -1 if the search was not done, otherwise returns 0. + * Best New MV is placed into \c frame_mv array, Rate estimation for this + * vector is placed to \c rate_mv + */ +static int search_new_mv(AV1_COMP *cpi, MACROBLOCK *x, + int_mv frame_mv[][REF_FRAMES], + MV_REFERENCE_FRAME ref_frame, int gf_temporal_ref, + BLOCK_SIZE bsize, int mi_row, int mi_col, int *rate_mv, + RD_STATS *best_rdc) { + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mi = xd->mi[0]; + AV1_COMMON *cm = &cpi->common; + int_mv *this_ref_frm_newmv = &frame_mv[NEWMV][ref_frame]; + unsigned int y_sad_zero; + if (ref_frame > LAST_FRAME && cpi->oxcf.rc_cfg.mode == AOM_CBR && + gf_temporal_ref) { + int tmp_sad; + int dis; + + if (bsize < BLOCK_16X16) return -1; + + int me_search_size_col = block_size_wide[bsize] >> 1; + int me_search_size_row = block_size_high[bsize] >> 1; + tmp_sad = av1_int_pro_motion_estimation( + cpi, x, bsize, mi_row, mi_col, + &x->mbmi_ext.ref_mv_stack[ref_frame][0].this_mv.as_mv, &y_sad_zero, + me_search_size_col, me_search_size_row); + + if (tmp_sad > x->pred_mv_sad[LAST_FRAME]) return -1; + + this_ref_frm_newmv->as_int = mi->mv[0].as_int; + int_mv best_mv = mi->mv[0]; + best_mv.as_mv.row >>= 3; + best_mv.as_mv.col >>= 3; + MV ref_mv = av1_get_ref_mv(x, 0).as_mv; + this_ref_frm_newmv->as_mv.row >>= 3; + this_ref_frm_newmv->as_mv.col >>= 3; + + SUBPEL_MOTION_SEARCH_PARAMS ms_params; + av1_make_default_subpel_ms_params(&ms_params, cpi, x, bsize, &ref_mv, NULL); + if (cpi->sf.rt_sf.reduce_mv_pel_precision_highmotion || + cpi->sf.rt_sf.reduce_mv_pel_precision_lowcomplex) { + FULLPEL_MV start_mv = { .row = 0, .col = 0 }; + ms_params.forced_stop = + subpel_select(cpi, x, bsize, &best_mv, ref_mv, start_mv, false); + } + MV start_mv = get_mv_from_fullmv(&best_mv.as_fullmv); + assert(av1_is_subpelmv_in_range(&ms_params.mv_limits, start_mv)); + cpi->mv_search_params.find_fractional_mv_step( + xd, cm, &ms_params, start_mv, NULL, &best_mv.as_mv, &dis, + &x->pred_sse[ref_frame], NULL); + this_ref_frm_newmv->as_int = best_mv.as_int; + + // When NEWMV is same as ref_mv from the drl, it is preferred to code the + // MV as NEARESTMV or NEARMV. In this case, NEWMV needs to be skipped to + // avoid an assert failure at a later stage. The scenario can occur if + // NEARESTMV was not evaluated for ALTREF. + if (this_ref_frm_newmv->as_mv.col == ref_mv.col && + this_ref_frm_newmv->as_mv.row == ref_mv.row) + return -1; + + *rate_mv = av1_mv_bit_cost(&this_ref_frm_newmv->as_mv, &ref_mv, + x->mv_costs->nmv_joint_cost, + x->mv_costs->mv_cost_stack, MV_COST_WEIGHT); + } else if (!combined_motion_search(cpi, x, bsize, &frame_mv[NEWMV][ref_frame], + rate_mv, best_rdc->rdcost, 0)) { + return -1; + } + + return 0; +} + +static void estimate_single_ref_frame_costs(const AV1_COMMON *cm, + const MACROBLOCKD *xd, + const ModeCosts *mode_costs, + int segment_id, BLOCK_SIZE bsize, + unsigned int *ref_costs_single) { + int seg_ref_active = + segfeature_active(&cm->seg, segment_id, SEG_LVL_REF_FRAME); + if (seg_ref_active) { + memset(ref_costs_single, 0, REF_FRAMES * sizeof(*ref_costs_single)); + } else { + int intra_inter_ctx = av1_get_intra_inter_context(xd); + ref_costs_single[INTRA_FRAME] = + mode_costs->intra_inter_cost[intra_inter_ctx][0]; + unsigned int base_cost = mode_costs->intra_inter_cost[intra_inter_ctx][1]; + if (cm->current_frame.reference_mode == REFERENCE_MODE_SELECT && + is_comp_ref_allowed(bsize)) { + const int comp_ref_type_ctx = av1_get_comp_reference_type_context(xd); + base_cost += mode_costs->comp_ref_type_cost[comp_ref_type_ctx][1]; + } + ref_costs_single[LAST_FRAME] = base_cost; + ref_costs_single[GOLDEN_FRAME] = base_cost; + ref_costs_single[ALTREF_FRAME] = base_cost; + // add cost for last, golden, altref + ref_costs_single[LAST_FRAME] += mode_costs->single_ref_cost[0][0][0]; + ref_costs_single[GOLDEN_FRAME] += mode_costs->single_ref_cost[0][0][1]; + ref_costs_single[GOLDEN_FRAME] += mode_costs->single_ref_cost[0][1][0]; + ref_costs_single[ALTREF_FRAME] += mode_costs->single_ref_cost[0][0][1]; + ref_costs_single[ALTREF_FRAME] += mode_costs->single_ref_cost[0][2][0]; + } +} + +static INLINE void set_force_skip_flag(const AV1_COMP *const cpi, + MACROBLOCK *const x, unsigned int sse, + int *force_skip) { + if (x->txfm_search_params.tx_mode_search_type == TX_MODE_SELECT && + cpi->sf.rt_sf.tx_size_level_based_on_qstep && + cpi->sf.rt_sf.tx_size_level_based_on_qstep >= 2) { + const int qstep = x->plane[AOM_PLANE_Y].dequant_QTX[1] >> (x->e_mbd.bd - 5); + const unsigned int qstep_sq = qstep * qstep; + // If the sse is low for low source variance blocks, mark those as + // transform skip. + // Note: Though qstep_sq is based on ac qstep, the threshold is kept + // low so that reliable early estimate of tx skip can be obtained + // through its comparison with sse. + if (sse < qstep_sq && x->source_variance < qstep_sq && + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] == 0 && + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] == 0) + *force_skip = 1; + } +} + +#define CAP_TX_SIZE_FOR_BSIZE_GT32(tx_mode_search_type, bsize) \ + (((tx_mode_search_type) != ONLY_4X4 && (bsize) > BLOCK_32X32) ? true : false) +#define TX_SIZE_FOR_BSIZE_GT32 (TX_16X16) + +static TX_SIZE calculate_tx_size(const AV1_COMP *const cpi, BLOCK_SIZE bsize, + MACROBLOCK *const x, unsigned int var, + unsigned int sse, int *force_skip) { + MACROBLOCKD *const xd = &x->e_mbd; + TX_SIZE tx_size; + const TxfmSearchParams *txfm_params = &x->txfm_search_params; + if (txfm_params->tx_mode_search_type == TX_MODE_SELECT) { + int multiplier = 8; + unsigned int var_thresh = 0; + unsigned int is_high_var = 1; + // Use quantizer based thresholds to determine transform size. + if (cpi->sf.rt_sf.tx_size_level_based_on_qstep) { + const int qband = x->qindex >> (QINDEX_BITS - 2); + const int mult[4] = { 8, 7, 6, 5 }; + assert(qband < 4); + multiplier = mult[qband]; + const int qstep = x->plane[AOM_PLANE_Y].dequant_QTX[1] >> (xd->bd - 5); + const unsigned int qstep_sq = qstep * qstep; + var_thresh = qstep_sq * 2; + if (cpi->sf.rt_sf.tx_size_level_based_on_qstep >= 2) { + // If the sse is low for low source variance blocks, mark those as + // transform skip. + // Note: Though qstep_sq is based on ac qstep, the threshold is kept + // low so that reliable early estimate of tx skip can be obtained + // through its comparison with sse. + if (sse < qstep_sq && x->source_variance < qstep_sq && + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] == 0 && + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] == 0) + *force_skip = 1; + // Further lower transform size based on aq mode only if residual + // variance is high. + is_high_var = (var >= var_thresh); + } + } + // Choose larger transform size for blocks where dc component is dominant or + // the ac component is low. + if (sse > ((var * multiplier) >> 2) || (var < var_thresh)) + tx_size = + AOMMIN(max_txsize_lookup[bsize], + tx_mode_to_biggest_tx_size[txfm_params->tx_mode_search_type]); + else + tx_size = TX_8X8; + + if (cpi->oxcf.q_cfg.aq_mode == CYCLIC_REFRESH_AQ && + cyclic_refresh_segment_id_boosted(xd->mi[0]->segment_id) && is_high_var) + tx_size = TX_8X8; + else if (tx_size > TX_16X16) + tx_size = TX_16X16; + } else { + tx_size = + AOMMIN(max_txsize_lookup[bsize], + tx_mode_to_biggest_tx_size[txfm_params->tx_mode_search_type]); + } + + if (CAP_TX_SIZE_FOR_BSIZE_GT32(txfm_params->tx_mode_search_type, bsize)) + tx_size = TX_SIZE_FOR_BSIZE_GT32; + + return AOMMIN(tx_size, TX_16X16); +} + +static void block_variance(const uint8_t *src, int src_stride, + const uint8_t *ref, int ref_stride, int w, int h, + unsigned int *sse, int *sum, int block_size, + uint32_t *sse8x8, int *sum8x8, uint32_t *var8x8) { + int k = 0; + *sse = 0; + *sum = 0; + + // This function is called for block sizes >= BLOCK_32x32. As per the design + // the aom_get_var_sse_sum_8x8_quad() processes four 8x8 blocks (in a 8x32) + // per call. Hence the width and height of the block need to be at least 8 and + // 32 samples respectively. + assert(w >= 32); + assert(h >= 8); + for (int row = 0; row < h; row += block_size) { + for (int col = 0; col < w; col += 32) { + aom_get_var_sse_sum_8x8_quad(src + src_stride * row + col, src_stride, + ref + ref_stride * row + col, ref_stride, + &sse8x8[k], &sum8x8[k], sse, sum, + &var8x8[k]); + k += 4; + } + } +} + +static void block_variance_16x16_dual(const uint8_t *src, int src_stride, + const uint8_t *ref, int ref_stride, int w, + int h, unsigned int *sse, int *sum, + int block_size, uint32_t *sse16x16, + uint32_t *var16x16) { + int k = 0; + *sse = 0; + *sum = 0; + // This function is called for block sizes >= BLOCK_32x32. As per the design + // the aom_get_var_sse_sum_16x16_dual() processes four 16x16 blocks (in a + // 16x32) per call. Hence the width and height of the block need to be at + // least 16 and 32 samples respectively. + assert(w >= 32); + assert(h >= 16); + for (int row = 0; row < h; row += block_size) { + for (int col = 0; col < w; col += 32) { + aom_get_var_sse_sum_16x16_dual(src + src_stride * row + col, src_stride, + ref + ref_stride * row + col, ref_stride, + &sse16x16[k], sse, sum, &var16x16[k]); + k += 2; + } + } +} + +static void calculate_variance(int bw, int bh, TX_SIZE tx_size, + unsigned int *sse_i, int *sum_i, + unsigned int *var_o, unsigned int *sse_o, + int *sum_o) { + const BLOCK_SIZE unit_size = txsize_to_bsize[tx_size]; + const int nw = 1 << (bw - b_width_log2_lookup[unit_size]); + const int nh = 1 << (bh - b_height_log2_lookup[unit_size]); + int row, col, k = 0; + + for (row = 0; row < nh; row += 2) { + for (col = 0; col < nw; col += 2) { + sse_o[k] = sse_i[row * nw + col] + sse_i[row * nw + col + 1] + + sse_i[(row + 1) * nw + col] + sse_i[(row + 1) * nw + col + 1]; + sum_o[k] = sum_i[row * nw + col] + sum_i[row * nw + col + 1] + + sum_i[(row + 1) * nw + col] + sum_i[(row + 1) * nw + col + 1]; + var_o[k] = sse_o[k] - (uint32_t)(((int64_t)sum_o[k] * sum_o[k]) >> + (b_width_log2_lookup[unit_size] + + b_height_log2_lookup[unit_size] + 6)); + k++; + } + } +} + +// Adjust the ac_thr according to speed, width, height and normalized sum +static int ac_thr_factor(int speed, int width, int height, int norm_sum) { + if (speed >= 8 && norm_sum < 5) { + if (width <= 640 && height <= 480) + return 4; + else + return 2; + } + return 1; +} + +// Sets early_term flag based on chroma planes prediction +static INLINE void set_early_term_based_on_uv_plane( + AV1_COMP *cpi, MACROBLOCK *x, BLOCK_SIZE bsize, MACROBLOCKD *xd, int mi_row, + int mi_col, int *early_term, int num_blk, const unsigned int *sse_tx, + const unsigned int *var_tx, int sum, unsigned int var, unsigned int sse) { + AV1_COMMON *const cm = &cpi->common; + struct macroblock_plane *const p = &x->plane[AOM_PLANE_Y]; + const uint32_t dc_quant = p->dequant_QTX[0]; + const uint32_t ac_quant = p->dequant_QTX[1]; + int64_t dc_thr = dc_quant * dc_quant >> 6; + int64_t ac_thr = ac_quant * ac_quant >> 6; + const int bw = b_width_log2_lookup[bsize]; + const int bh = b_height_log2_lookup[bsize]; + int ac_test = 1; + int dc_test = 1; + const int norm_sum = abs(sum) >> (bw + bh); + +#if CONFIG_AV1_TEMPORAL_DENOISING + if (cpi->oxcf.noise_sensitivity > 0 && denoise_svc(cpi) && + cpi->oxcf.speed > 5) + ac_thr = av1_scale_acskip_thresh(ac_thr, cpi->denoiser.denoising_level, + norm_sum, cpi->svc.temporal_layer_id); + else + ac_thr *= ac_thr_factor(cpi->oxcf.speed, cm->width, cm->height, norm_sum); +#else + ac_thr *= ac_thr_factor(cpi->oxcf.speed, cm->width, cm->height, norm_sum); + +#endif + + if (cpi->sf.rt_sf.increase_source_sad_thresh) { + dc_thr = dc_thr << 1; + ac_thr = ac_thr << 2; + } + + for (int k = 0; k < num_blk; k++) { + // Check if all ac coefficients can be quantized to zero. + if (!(var_tx[k] < ac_thr || var == 0)) { + ac_test = 0; + break; + } + // Check if dc coefficient can be quantized to zero. + if (!(sse_tx[k] - var_tx[k] < dc_thr || sse == var)) { + dc_test = 0; + break; + } + } + + // Check if chroma can be skipped based on ac and dc test flags. + if (ac_test && dc_test) { + int skip_uv[2] = { 0 }; + unsigned int var_uv[2]; + unsigned int sse_uv[2]; + // Transform skipping test in UV planes. + for (int plane = AOM_PLANE_U; plane <= AOM_PLANE_V; plane++) { + int j = plane - 1; + skip_uv[j] = 1; + if (x->color_sensitivity[COLOR_SENS_IDX(plane)]) { + skip_uv[j] = 0; + struct macroblock_plane *const puv = &x->plane[plane]; + struct macroblockd_plane *const puvd = &xd->plane[plane]; + const BLOCK_SIZE uv_bsize = get_plane_block_size( + bsize, puvd->subsampling_x, puvd->subsampling_y); + // Adjust these thresholds for UV. + const int shift_ac = cpi->sf.rt_sf.increase_source_sad_thresh ? 5 : 3; + const int shift_dc = cpi->sf.rt_sf.increase_source_sad_thresh ? 4 : 3; + const int64_t uv_dc_thr = + (puv->dequant_QTX[0] * puv->dequant_QTX[0]) >> shift_dc; + const int64_t uv_ac_thr = + (puv->dequant_QTX[1] * puv->dequant_QTX[1]) >> shift_ac; + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + plane, plane); + var_uv[j] = cpi->ppi->fn_ptr[uv_bsize].vf(puv->src.buf, puv->src.stride, + puvd->dst.buf, + puvd->dst.stride, &sse_uv[j]); + if ((var_uv[j] < uv_ac_thr || var_uv[j] == 0) && + (sse_uv[j] - var_uv[j] < uv_dc_thr || sse_uv[j] == var_uv[j])) + skip_uv[j] = 1; + else + break; + } + } + if (skip_uv[0] & skip_uv[1]) { + *early_term = 1; + } + } +} + +static INLINE void calc_rate_dist_block_param(AV1_COMP *cpi, MACROBLOCK *x, + RD_STATS *rd_stats, + int calculate_rd, int *early_term, + BLOCK_SIZE bsize, + unsigned int sse) { + if (calculate_rd) { + if (!*early_term) { + const int bw = block_size_wide[bsize]; + const int bh = block_size_high[bsize]; + + model_rd_with_curvfit(cpi, x, bsize, AOM_PLANE_Y, rd_stats->sse, bw * bh, + &rd_stats->rate, &rd_stats->dist); + } + + if (*early_term) { + rd_stats->rate = 0; + rd_stats->dist = sse << 4; + } + } +} + +static void model_skip_for_sb_y_large_64(AV1_COMP *cpi, BLOCK_SIZE bsize, + int mi_row, int mi_col, MACROBLOCK *x, + MACROBLOCKD *xd, RD_STATS *rd_stats, + int *early_term, int calculate_rd, + int64_t best_sse, + unsigned int *var_output, + unsigned int var_prune_threshold) { + // Note our transform coeffs are 8 times an orthogonal transform. + // Hence quantizer step is also 8 times. To get effective quantizer + // we need to divide by 8 before sending to modeling function. + unsigned int sse; + struct macroblock_plane *const p = &x->plane[AOM_PLANE_Y]; + struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; + int test_skip = 1; + unsigned int var; + int sum; + const int bw = b_width_log2_lookup[bsize]; + const int bh = b_height_log2_lookup[bsize]; + unsigned int sse16x16[64] = { 0 }; + unsigned int var16x16[64] = { 0 }; + assert(xd->mi[0]->tx_size == TX_16X16); + assert(bsize > BLOCK_32X32); + + // Calculate variance for whole partition, and also save 16x16 blocks' + // variance to be used in following transform skipping test. + block_variance_16x16_dual(p->src.buf, p->src.stride, pd->dst.buf, + pd->dst.stride, 4 << bw, 4 << bh, &sse, &sum, 16, + sse16x16, var16x16); + + var = sse - (unsigned int)(((int64_t)sum * sum) >> (bw + bh + 4)); + if (var_output) { + *var_output = var; + if (*var_output > var_prune_threshold) { + return; + } + } + + rd_stats->sse = sse; + // Skipping test + *early_term = 0; + set_force_skip_flag(cpi, x, sse, early_term); + // The code below for setting skip flag assumes transform size of at least + // 8x8, so force this lower limit on transform. + MB_MODE_INFO *const mi = xd->mi[0]; + if (!calculate_rd && cpi->sf.rt_sf.sse_early_term_inter_search && + early_term_inter_search_with_sse( + cpi->sf.rt_sf.sse_early_term_inter_search, bsize, sse, best_sse, + mi->mode)) + test_skip = 0; + + if (*early_term) test_skip = 0; + + // Evaluate if the partition block is a skippable block in Y plane. + if (test_skip) { + const unsigned int *sse_tx = sse16x16; + const unsigned int *var_tx = var16x16; + const unsigned int num_block = (1 << (bw + bh - 2)) >> 2; + set_early_term_based_on_uv_plane(cpi, x, bsize, xd, mi_row, mi_col, + early_term, num_block, sse_tx, var_tx, sum, + var, sse); + } + calc_rate_dist_block_param(cpi, x, rd_stats, calculate_rd, early_term, bsize, + sse); +} + +static void model_skip_for_sb_y_large(AV1_COMP *cpi, BLOCK_SIZE bsize, + int mi_row, int mi_col, MACROBLOCK *x, + MACROBLOCKD *xd, RD_STATS *rd_stats, + int *early_term, int calculate_rd, + int64_t best_sse, + unsigned int *var_output, + unsigned int var_prune_threshold) { + if (x->force_zeromv_skip_for_blk) { + *early_term = 1; + rd_stats->rate = 0; + rd_stats->dist = 0; + rd_stats->sse = 0; + return; + } + + // For block sizes greater than 32x32, the transform size is always 16x16. + // This function avoids calling calculate_variance() for tx_size 16x16 cases + // by directly populating variance at tx_size level from + // block_variance_16x16_dual() function. + const TxfmSearchParams *txfm_params = &x->txfm_search_params; + if (CAP_TX_SIZE_FOR_BSIZE_GT32(txfm_params->tx_mode_search_type, bsize)) { + xd->mi[0]->tx_size = TX_SIZE_FOR_BSIZE_GT32; + model_skip_for_sb_y_large_64(cpi, bsize, mi_row, mi_col, x, xd, rd_stats, + early_term, calculate_rd, best_sse, var_output, + var_prune_threshold); + return; + } + + // Note our transform coeffs are 8 times an orthogonal transform. + // Hence quantizer step is also 8 times. To get effective quantizer + // we need to divide by 8 before sending to modeling function. + unsigned int sse; + struct macroblock_plane *const p = &x->plane[AOM_PLANE_Y]; + struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; + int test_skip = 1; + unsigned int var; + int sum; + + const int bw = b_width_log2_lookup[bsize]; + const int bh = b_height_log2_lookup[bsize]; + unsigned int sse8x8[256] = { 0 }; + int sum8x8[256] = { 0 }; + unsigned int var8x8[256] = { 0 }; + TX_SIZE tx_size; + + // Calculate variance for whole partition, and also save 8x8 blocks' variance + // to be used in following transform skipping test. + block_variance(p->src.buf, p->src.stride, pd->dst.buf, pd->dst.stride, + 4 << bw, 4 << bh, &sse, &sum, 8, sse8x8, sum8x8, var8x8); + var = sse - (unsigned int)(((int64_t)sum * sum) >> (bw + bh + 4)); + if (var_output) { + *var_output = var; + if (*var_output > var_prune_threshold) { + return; + } + } + + rd_stats->sse = sse; + // Skipping test + *early_term = 0; + tx_size = calculate_tx_size(cpi, bsize, x, var, sse, early_term); + assert(tx_size <= TX_16X16); + // The code below for setting skip flag assumes transform size of at least + // 8x8, so force this lower limit on transform. + if (tx_size < TX_8X8) tx_size = TX_8X8; + xd->mi[0]->tx_size = tx_size; + + MB_MODE_INFO *const mi = xd->mi[0]; + if (!calculate_rd && cpi->sf.rt_sf.sse_early_term_inter_search && + early_term_inter_search_with_sse( + cpi->sf.rt_sf.sse_early_term_inter_search, bsize, sse, best_sse, + mi->mode)) + test_skip = 0; + + if (*early_term) test_skip = 0; + + // Evaluate if the partition block is a skippable block in Y plane. + if (test_skip) { + unsigned int sse16x16[64] = { 0 }; + int sum16x16[64] = { 0 }; + unsigned int var16x16[64] = { 0 }; + const unsigned int *sse_tx = sse8x8; + const unsigned int *var_tx = var8x8; + unsigned int num_blks = 1 << (bw + bh - 2); + + if (tx_size >= TX_16X16) { + calculate_variance(bw, bh, TX_8X8, sse8x8, sum8x8, var16x16, sse16x16, + sum16x16); + sse_tx = sse16x16; + var_tx = var16x16; + num_blks = num_blks >> 2; + } + set_early_term_based_on_uv_plane(cpi, x, bsize, xd, mi_row, mi_col, + early_term, num_blks, sse_tx, var_tx, sum, + var, sse); + } + calc_rate_dist_block_param(cpi, x, rd_stats, calculate_rd, early_term, bsize, + sse); +} + +static void model_rd_for_sb_y(const AV1_COMP *const cpi, BLOCK_SIZE bsize, + MACROBLOCK *x, MACROBLOCKD *xd, + RD_STATS *rd_stats, unsigned int *var_out, + int calculate_rd, int *early_term) { + if (x->force_zeromv_skip_for_blk && early_term != NULL) { + *early_term = 1; + rd_stats->rate = 0; + rd_stats->dist = 0; + rd_stats->sse = 0; + } + + // Note our transform coeffs are 8 times an orthogonal transform. + // Hence quantizer step is also 8 times. To get effective quantizer + // we need to divide by 8 before sending to modeling function. + const int ref = xd->mi[0]->ref_frame[0]; + + assert(bsize < BLOCK_SIZES_ALL); + + struct macroblock_plane *const p = &x->plane[AOM_PLANE_Y]; + struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; + unsigned int sse; + int rate; + int64_t dist; + + unsigned int var = cpi->ppi->fn_ptr[bsize].vf( + p->src.buf, p->src.stride, pd->dst.buf, pd->dst.stride, &sse); + int force_skip = 0; + xd->mi[0]->tx_size = calculate_tx_size(cpi, bsize, x, var, sse, &force_skip); + if (var_out) { + *var_out = var; + } + + if (calculate_rd && (!force_skip || ref == INTRA_FRAME)) { + const int bwide = block_size_wide[bsize]; + const int bhigh = block_size_high[bsize]; + model_rd_with_curvfit(cpi, x, bsize, AOM_PLANE_Y, sse, bwide * bhigh, &rate, + &dist); + } else { + rate = INT_MAX; // this will be overwritten later with av1_block_yrd + dist = INT_MAX; + } + rd_stats->sse = sse; + x->pred_sse[ref] = (unsigned int)AOMMIN(sse, UINT_MAX); + + if (force_skip && ref > INTRA_FRAME) { + rate = 0; + dist = (int64_t)sse << 4; + } + + assert(rate >= 0); + + rd_stats->skip_txfm = (rate == 0); + rate = AOMMIN(rate, INT_MAX); + rd_stats->rate = rate; + rd_stats->dist = dist; +} + +static INLINE int get_drl_cost(PREDICTION_MODE this_mode, int ref_mv_idx, + const MB_MODE_INFO_EXT *mbmi_ext, + const int (*const drl_mode_cost0)[2], + int8_t ref_frame_type) { + int cost = 0; + if (this_mode == NEWMV || this_mode == NEW_NEWMV) { + for (int idx = 0; idx < 2; ++idx) { + if (mbmi_ext->ref_mv_count[ref_frame_type] > idx + 1) { + uint8_t drl_ctx = av1_drl_ctx(mbmi_ext->weight[ref_frame_type], idx); + cost += drl_mode_cost0[drl_ctx][ref_mv_idx != idx]; + if (ref_mv_idx == idx) return cost; + } + } + return cost; + } + + if (have_nearmv_in_inter_mode(this_mode)) { + for (int idx = 1; idx < 3; ++idx) { + if (mbmi_ext->ref_mv_count[ref_frame_type] > idx + 1) { + uint8_t drl_ctx = av1_drl_ctx(mbmi_ext->weight[ref_frame_type], idx); + cost += drl_mode_cost0[drl_ctx][ref_mv_idx != (idx - 1)]; + if (ref_mv_idx == (idx - 1)) return cost; + } + } + return cost; + } + return cost; +} + +static int cost_mv_ref(const ModeCosts *const mode_costs, PREDICTION_MODE mode, + int16_t mode_context) { + if (is_inter_compound_mode(mode)) { + return mode_costs + ->inter_compound_mode_cost[mode_context][INTER_COMPOUND_OFFSET(mode)]; + } + + int mode_cost = 0; + int16_t mode_ctx = mode_context & NEWMV_CTX_MASK; + + assert(is_inter_mode(mode)); + + if (mode == NEWMV) { + mode_cost = mode_costs->newmv_mode_cost[mode_ctx][0]; + return mode_cost; + } else { + mode_cost = mode_costs->newmv_mode_cost[mode_ctx][1]; + mode_ctx = (mode_context >> GLOBALMV_OFFSET) & GLOBALMV_CTX_MASK; + + if (mode == GLOBALMV) { + mode_cost += mode_costs->zeromv_mode_cost[mode_ctx][0]; + return mode_cost; + } else { + mode_cost += mode_costs->zeromv_mode_cost[mode_ctx][1]; + mode_ctx = (mode_context >> REFMV_OFFSET) & REFMV_CTX_MASK; + mode_cost += mode_costs->refmv_mode_cost[mode_ctx][mode != NEARESTMV]; + return mode_cost; + } + } +} + +static void newmv_diff_bias(MACROBLOCKD *xd, PREDICTION_MODE this_mode, + RD_STATS *this_rdc, BLOCK_SIZE bsize, int mv_row, + int mv_col, int speed, uint32_t spatial_variance, + CONTENT_STATE_SB content_state_sb) { + // Bias against MVs associated with NEWMV mode that are very different from + // top/left neighbors. + if (this_mode == NEWMV) { + int al_mv_average_row; + int al_mv_average_col; + int row_diff, col_diff; + int above_mv_valid = 0; + int left_mv_valid = 0; + int above_row = INVALID_MV_ROW_COL, above_col = INVALID_MV_ROW_COL; + int left_row = INVALID_MV_ROW_COL, left_col = INVALID_MV_ROW_COL; + if (bsize >= BLOCK_64X64 && content_state_sb.source_sad_nonrd != kHighSad && + spatial_variance < 300 && + (mv_row > 16 || mv_row < -16 || mv_col > 16 || mv_col < -16)) { + this_rdc->rdcost = this_rdc->rdcost << 2; + return; + } + if (xd->above_mbmi) { + above_mv_valid = xd->above_mbmi->mv[0].as_int != INVALID_MV; + above_row = xd->above_mbmi->mv[0].as_mv.row; + above_col = xd->above_mbmi->mv[0].as_mv.col; + } + if (xd->left_mbmi) { + left_mv_valid = xd->left_mbmi->mv[0].as_int != INVALID_MV; + left_row = xd->left_mbmi->mv[0].as_mv.row; + left_col = xd->left_mbmi->mv[0].as_mv.col; + } + if (above_mv_valid && left_mv_valid) { + al_mv_average_row = (above_row + left_row + 1) >> 1; + al_mv_average_col = (above_col + left_col + 1) >> 1; + } else if (above_mv_valid) { + al_mv_average_row = above_row; + al_mv_average_col = above_col; + } else if (left_mv_valid) { + al_mv_average_row = left_row; + al_mv_average_col = left_col; + } else { + al_mv_average_row = al_mv_average_col = 0; + } + row_diff = al_mv_average_row - mv_row; + col_diff = al_mv_average_col - mv_col; + if (row_diff > 80 || row_diff < -80 || col_diff > 80 || col_diff < -80) { + if (bsize >= BLOCK_32X32) + this_rdc->rdcost = this_rdc->rdcost << 1; + else + this_rdc->rdcost = 5 * this_rdc->rdcost >> 2; + } + } else { + // Bias for speed >= 8 for low spatial variance. + if (speed >= 8 && spatial_variance < 150 && + (mv_row > 64 || mv_row < -64 || mv_col > 64 || mv_col < -64)) + this_rdc->rdcost = 5 * this_rdc->rdcost >> 2; + } +} + +static INLINE void update_thresh_freq_fact(AV1_COMP *cpi, MACROBLOCK *x, + BLOCK_SIZE bsize, + MV_REFERENCE_FRAME ref_frame, + THR_MODES best_mode_idx, + PREDICTION_MODE mode) { + const THR_MODES thr_mode_idx = mode_idx[ref_frame][mode_offset(mode)]; + const BLOCK_SIZE min_size = AOMMAX(bsize - 3, BLOCK_4X4); + const BLOCK_SIZE max_size = AOMMIN(bsize + 6, BLOCK_128X128); + for (BLOCK_SIZE bs = min_size; bs <= max_size; bs += 3) { + int *freq_fact = &x->thresh_freq_fact[bs][thr_mode_idx]; + if (thr_mode_idx == best_mode_idx) { + *freq_fact -= (*freq_fact >> 4); + } else { + *freq_fact = + AOMMIN(*freq_fact + RD_THRESH_INC, + cpi->sf.inter_sf.adaptive_rd_thresh * RD_THRESH_MAX_FACT); + } + } +} + +#if CONFIG_AV1_TEMPORAL_DENOISING +static void av1_pickmode_ctx_den_update( + AV1_PICKMODE_CTX_DEN *ctx_den, int64_t zero_last_cost_orig, + unsigned int ref_frame_cost[REF_FRAMES], + int_mv frame_mv[MB_MODE_COUNT][REF_FRAMES], int reuse_inter_pred, + BEST_PICKMODE *bp) { + ctx_den->zero_last_cost_orig = zero_last_cost_orig; + ctx_den->ref_frame_cost = ref_frame_cost; + ctx_den->frame_mv = frame_mv; + ctx_den->reuse_inter_pred = reuse_inter_pred; + ctx_den->best_tx_size = bp->best_tx_size; + ctx_den->best_mode = bp->best_mode; + ctx_den->best_ref_frame = bp->best_ref_frame; + ctx_den->best_pred_filter = bp->best_pred_filter; + ctx_den->best_mode_skip_txfm = bp->best_mode_skip_txfm; +} + +static void recheck_zeromv_after_denoising( + AV1_COMP *cpi, MB_MODE_INFO *const mi, MACROBLOCK *x, MACROBLOCKD *const xd, + AV1_DENOISER_DECISION decision, AV1_PICKMODE_CTX_DEN *ctx_den, + struct buf_2d yv12_mb[4][MAX_MB_PLANE], RD_STATS *best_rdc, + BEST_PICKMODE *best_pickmode, BLOCK_SIZE bsize, int mi_row, int mi_col) { + // If INTRA or GOLDEN reference was selected, re-evaluate ZEROMV on + // denoised result. Only do this under noise conditions, and if rdcost of + // ZEROMV on original source is not significantly higher than rdcost of best + // mode. + if (cpi->noise_estimate.enabled && cpi->noise_estimate.level > kLow && + ctx_den->zero_last_cost_orig < (best_rdc->rdcost << 3) && + ((ctx_den->best_ref_frame == INTRA_FRAME && decision >= FILTER_BLOCK) || + (ctx_den->best_ref_frame == GOLDEN_FRAME && + cpi->svc.number_spatial_layers == 1 && + decision == FILTER_ZEROMV_BLOCK))) { + // Check if we should pick ZEROMV on denoised signal. + AV1_COMMON *const cm = &cpi->common; + RD_STATS this_rdc; + const ModeCosts *mode_costs = &x->mode_costs; + TxfmSearchInfo *txfm_info = &x->txfm_search_info; + MB_MODE_INFO_EXT *const mbmi_ext = &x->mbmi_ext; + + mi->mode = GLOBALMV; + mi->ref_frame[0] = LAST_FRAME; + mi->ref_frame[1] = NONE_FRAME; + set_ref_ptrs(cm, xd, mi->ref_frame[0], NONE_FRAME); + mi->mv[0].as_int = 0; + mi->interp_filters = av1_broadcast_interp_filter(EIGHTTAP_REGULAR); + xd->plane[AOM_PLANE_Y].pre[0] = yv12_mb[LAST_FRAME][AOM_PLANE_Y]; + av1_enc_build_inter_predictor_y(xd, mi_row, mi_col); + unsigned int var; + model_rd_for_sb_y(cpi, bsize, x, xd, &this_rdc, &var, 1, NULL); + + const int16_t mode_ctx = + av1_mode_context_analyzer(mbmi_ext->mode_context, mi->ref_frame); + this_rdc.rate += cost_mv_ref(mode_costs, GLOBALMV, mode_ctx); + + this_rdc.rate += ctx_den->ref_frame_cost[LAST_FRAME]; + this_rdc.rdcost = RDCOST(x->rdmult, this_rdc.rate, this_rdc.dist); + txfm_info->skip_txfm = this_rdc.skip_txfm; + // Don't switch to ZEROMV if the rdcost for ZEROMV on denoised source + // is higher than best_ref mode (on original source). + if (this_rdc.rdcost > best_rdc->rdcost) { + this_rdc = *best_rdc; + mi->mode = best_pickmode->best_mode; + mi->ref_frame[0] = best_pickmode->best_ref_frame; + set_ref_ptrs(cm, xd, mi->ref_frame[0], NONE_FRAME); + mi->interp_filters = best_pickmode->best_pred_filter; + if (best_pickmode->best_ref_frame == INTRA_FRAME) { + mi->mv[0].as_int = INVALID_MV; + } else { + mi->mv[0].as_int = ctx_den + ->frame_mv[best_pickmode->best_mode] + [best_pickmode->best_ref_frame] + .as_int; + if (ctx_den->reuse_inter_pred) { + xd->plane[AOM_PLANE_Y].pre[0] = yv12_mb[GOLDEN_FRAME][AOM_PLANE_Y]; + av1_enc_build_inter_predictor_y(xd, mi_row, mi_col); + } + } + mi->tx_size = best_pickmode->best_tx_size; + txfm_info->skip_txfm = best_pickmode->best_mode_skip_txfm; + } else { + ctx_den->best_ref_frame = LAST_FRAME; + *best_rdc = this_rdc; + } + } +} +#endif // CONFIG_AV1_TEMPORAL_DENOISING + +/*!\brief Searches for the best interpolation filter + * + * \ingroup nonrd_mode_search + * \callgraph + * \callergraph + * Iterates through subset of possible interpolation filters (EIGHTTAP_REGULAR, + * EIGTHTAP_SMOOTH, MULTITAP_SHARP, depending on FILTER_SEARCH_SIZE) and selects + * the one that gives lowest RD cost. RD cost is calculated using curvfit model. + * Support for dual filters (different filters in the x & y directions) is + * allowed if sf.interp_sf.disable_dual_filter = 0. + * + * \param[in] cpi Top-level encoder structure + * \param[in] x Pointer to structure holding all the + * data for the current macroblock + * \param[in] this_rdc Pointer to calculated RD Cost + * \param[in] inter_pred_params_sr Pointer to structure holding parameters of + inter prediction for single reference + * \param[in] mi_row Row index in 4x4 units + * \param[in] mi_col Column index in 4x4 units + * \param[in] tmp_buffer Pointer to a temporary buffer for + * prediction re-use + * \param[in] bsize Current block size + * \param[in] reuse_inter_pred Flag, indicating prediction re-use + * \param[out] this_mode_pred Pointer to store prediction buffer + * for prediction re-use + * \param[out] this_early_term Flag, indicating that transform can be + * skipped + * \param[out] var The residue variance of the current + * predictor. + * \param[in] use_model_yrd_large Flag, indicating special logic to handle + * large blocks + * \param[in] best_sse Best sse so far. + * \param[in] is_single_pred Flag, indicating single mode. + * + * \remark Nothing is returned. Instead, calculated RD cost is placed to + * \c this_rdc and best filter is placed to \c mi->interp_filters. In case + * \c reuse_inter_pred flag is set, this function also outputs + * \c this_mode_pred. Also \c this_early_temp is set if transform can be + * skipped + */ +static void search_filter_ref(AV1_COMP *cpi, MACROBLOCK *x, RD_STATS *this_rdc, + InterPredParams *inter_pred_params_sr, int mi_row, + int mi_col, PRED_BUFFER *tmp_buffer, + BLOCK_SIZE bsize, int reuse_inter_pred, + PRED_BUFFER **this_mode_pred, + int *this_early_term, unsigned int *var, + int use_model_yrd_large, int64_t best_sse, + int is_single_pred) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCKD *const xd = &x->e_mbd; + struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; + MB_MODE_INFO *const mi = xd->mi[0]; + const int bw = block_size_wide[bsize]; + int dim_factor = + (cpi->sf.interp_sf.disable_dual_filter == 0) ? FILTER_SEARCH_SIZE : 1; + RD_STATS pf_rd_stats[FILTER_SEARCH_SIZE * FILTER_SEARCH_SIZE] = { 0 }; + TX_SIZE pf_tx_size[FILTER_SEARCH_SIZE * FILTER_SEARCH_SIZE] = { 0 }; + PRED_BUFFER *current_pred = *this_mode_pred; + int best_skip = 0; + int best_early_term = 0; + int64_t best_cost = INT64_MAX; + int best_filter_index = -1; + + SubpelParams subpel_params; + // Initialize inter prediction params at mode level for single reference + // mode. + if (is_single_pred) + init_inter_mode_params(&mi->mv[0].as_mv, inter_pred_params_sr, + &subpel_params, xd->block_ref_scale_factors[0], + pd->pre->width, pd->pre->height); + for (int filter_idx = 0; filter_idx < FILTER_SEARCH_SIZE * FILTER_SEARCH_SIZE; + ++filter_idx) { + int64_t cost; + if (cpi->sf.interp_sf.disable_dual_filter && + filters_ref_set[filter_idx].as_filters.x_filter != + filters_ref_set[filter_idx].as_filters.y_filter) + continue; + + mi->interp_filters.as_int = filters_ref_set[filter_idx].as_int; + if (is_single_pred) + av1_enc_build_inter_predictor_y_nonrd(xd, inter_pred_params_sr, + &subpel_params); + else + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_Y, AOM_PLANE_Y); + unsigned int curr_var = UINT_MAX; + if (use_model_yrd_large) + model_skip_for_sb_y_large(cpi, bsize, mi_row, mi_col, x, xd, + &pf_rd_stats[filter_idx], this_early_term, 1, + best_sse, &curr_var, UINT_MAX); + else + model_rd_for_sb_y(cpi, bsize, x, xd, &pf_rd_stats[filter_idx], &curr_var, + 1, NULL); + pf_rd_stats[filter_idx].rate += av1_get_switchable_rate( + x, xd, cm->features.interp_filter, cm->seq_params->enable_dual_filter); + cost = RDCOST(x->rdmult, pf_rd_stats[filter_idx].rate, + pf_rd_stats[filter_idx].dist); + pf_tx_size[filter_idx] = mi->tx_size; + if (cost < best_cost) { + *var = curr_var; + best_filter_index = filter_idx; + best_cost = cost; + best_skip = pf_rd_stats[filter_idx].skip_txfm; + best_early_term = *this_early_term; + if (reuse_inter_pred) { + if (*this_mode_pred != current_pred) { + free_pred_buffer(*this_mode_pred); + *this_mode_pred = current_pred; + } + current_pred = &tmp_buffer[get_pred_buffer(tmp_buffer, 3)]; + pd->dst.buf = current_pred->data; + pd->dst.stride = bw; + } + } + } + assert(best_filter_index >= 0 && + best_filter_index < dim_factor * FILTER_SEARCH_SIZE); + if (reuse_inter_pred && *this_mode_pred != current_pred) + free_pred_buffer(current_pred); + + mi->interp_filters.as_int = filters_ref_set[best_filter_index].as_int; + mi->tx_size = pf_tx_size[best_filter_index]; + this_rdc->rate = pf_rd_stats[best_filter_index].rate; + this_rdc->dist = pf_rd_stats[best_filter_index].dist; + this_rdc->sse = pf_rd_stats[best_filter_index].sse; + this_rdc->skip_txfm = (best_skip || best_early_term); + *this_early_term = best_early_term; + if (reuse_inter_pred) { + pd->dst.buf = (*this_mode_pred)->data; + pd->dst.stride = (*this_mode_pred)->stride; + } else if (best_filter_index < dim_factor * FILTER_SEARCH_SIZE - 1) { + if (is_single_pred) + av1_enc_build_inter_predictor_y_nonrd(xd, inter_pred_params_sr, + &subpel_params); + else + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_Y, AOM_PLANE_Y); + } +} +#if !CONFIG_REALTIME_ONLY + +static AOM_INLINE int is_warped_mode_allowed(const AV1_COMP *cpi, + MACROBLOCK *const x, + const MB_MODE_INFO *mbmi) { + const FeatureFlags *const features = &cpi->common.features; + const MACROBLOCKD *xd = &x->e_mbd; + + if (cpi->sf.inter_sf.extra_prune_warped) return 0; + if (has_second_ref(mbmi)) return 0; + MOTION_MODE last_motion_mode_allowed = SIMPLE_TRANSLATION; + + if (features->switchable_motion_mode) { + // Determine which motion modes to search if more than SIMPLE_TRANSLATION + // is allowed. + last_motion_mode_allowed = motion_mode_allowed( + xd->global_motion, xd, mbmi, features->allow_warped_motion); + } + + if (last_motion_mode_allowed == WARPED_CAUSAL) { + return 1; + } + + return 0; +} + +static void calc_num_proj_ref(AV1_COMP *cpi, MACROBLOCK *x, MB_MODE_INFO *mi) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCKD *const xd = &x->e_mbd; + const FeatureFlags *const features = &cm->features; + + mi->num_proj_ref = 1; + WARP_SAMPLE_INFO *const warp_sample_info = + &x->warp_sample_info[mi->ref_frame[0]]; + int *pts0 = warp_sample_info->pts; + int *pts_inref0 = warp_sample_info->pts_inref; + MOTION_MODE last_motion_mode_allowed = SIMPLE_TRANSLATION; + + if (features->switchable_motion_mode) { + // Determine which motion modes to search if more than SIMPLE_TRANSLATION + // is allowed. + last_motion_mode_allowed = motion_mode_allowed( + xd->global_motion, xd, mi, features->allow_warped_motion); + } + + if (last_motion_mode_allowed == WARPED_CAUSAL) { + if (warp_sample_info->num < 0) { + warp_sample_info->num = av1_findSamples(cm, xd, pts0, pts_inref0); + } + mi->num_proj_ref = warp_sample_info->num; + } +} + +static void search_motion_mode(AV1_COMP *cpi, MACROBLOCK *x, RD_STATS *this_rdc, + int mi_row, int mi_col, BLOCK_SIZE bsize, + int *this_early_term, int use_model_yrd_large, + int *rate_mv, int64_t best_sse) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCKD *const xd = &x->e_mbd; + const FeatureFlags *const features = &cm->features; + MB_MODE_INFO *const mi = xd->mi[0]; + RD_STATS pf_rd_stats[MOTION_MODE_SEARCH_SIZE] = { 0 }; + int best_skip = 0; + int best_early_term = 0; + int64_t best_cost = INT64_MAX; + int best_mode_index = -1; + const int interp_filter = features->interp_filter; + + const MOTION_MODE motion_modes[MOTION_MODE_SEARCH_SIZE] = { + SIMPLE_TRANSLATION, WARPED_CAUSAL + }; + int mode_search_size = is_warped_mode_allowed(cpi, x, mi) ? 2 : 1; + + WARP_SAMPLE_INFO *const warp_sample_info = + &x->warp_sample_info[mi->ref_frame[0]]; + int *pts0 = warp_sample_info->pts; + int *pts_inref0 = warp_sample_info->pts_inref; + + const int total_samples = mi->num_proj_ref; + if (total_samples == 0) { + // Do not search WARPED_CAUSAL if there are no samples to use to determine + // warped parameters. + mode_search_size = 1; + } + + const MB_MODE_INFO base_mbmi = *mi; + MB_MODE_INFO best_mbmi; + + for (int mode_index = 0; mode_index < mode_search_size; ++mode_index) { + int64_t cost = INT64_MAX; + MOTION_MODE motion_mode = motion_modes[mode_index]; + *mi = base_mbmi; + mi->motion_mode = motion_mode; + if (motion_mode == SIMPLE_TRANSLATION) { + mi->interp_filters = av1_broadcast_interp_filter(EIGHTTAP_REGULAR); + + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_Y, AOM_PLANE_Y); + if (use_model_yrd_large) + model_skip_for_sb_y_large(cpi, bsize, mi_row, mi_col, x, xd, + &pf_rd_stats[mode_index], this_early_term, 1, + best_sse, NULL, UINT_MAX); + else + model_rd_for_sb_y(cpi, bsize, x, xd, &pf_rd_stats[mode_index], NULL, 1, + NULL); + pf_rd_stats[mode_index].rate += + av1_get_switchable_rate(x, xd, cm->features.interp_filter, + cm->seq_params->enable_dual_filter); + cost = RDCOST(x->rdmult, pf_rd_stats[mode_index].rate, + pf_rd_stats[mode_index].dist); + } else if (motion_mode == WARPED_CAUSAL) { + int pts[SAMPLES_ARRAY_SIZE], pts_inref[SAMPLES_ARRAY_SIZE]; + const ModeCosts *mode_costs = &x->mode_costs; + mi->wm_params.wmtype = DEFAULT_WMTYPE; + mi->interp_filters = + av1_broadcast_interp_filter(av1_unswitchable_filter(interp_filter)); + + memcpy(pts, pts0, total_samples * 2 * sizeof(*pts0)); + memcpy(pts_inref, pts_inref0, total_samples * 2 * sizeof(*pts_inref0)); + // Select the samples according to motion vector difference + if (mi->num_proj_ref > 1) { + mi->num_proj_ref = av1_selectSamples(&mi->mv[0].as_mv, pts, pts_inref, + mi->num_proj_ref, bsize); + } + + // Compute the warped motion parameters with a least squares fit + // using the collected samples + if (!av1_find_projection(mi->num_proj_ref, pts, pts_inref, bsize, + mi->mv[0].as_mv.row, mi->mv[0].as_mv.col, + &mi->wm_params, mi_row, mi_col)) { + if (mi->mode == NEWMV) { + const int_mv mv0 = mi->mv[0]; + const WarpedMotionParams wm_params0 = mi->wm_params; + const int num_proj_ref0 = mi->num_proj_ref; + + const int_mv ref_mv = av1_get_ref_mv(x, 0); + SUBPEL_MOTION_SEARCH_PARAMS ms_params; + av1_make_default_subpel_ms_params(&ms_params, cpi, x, bsize, + &ref_mv.as_mv, NULL); + + // Refine MV in a small range. + av1_refine_warped_mv(xd, cm, &ms_params, bsize, pts0, pts_inref0, + total_samples, cpi->sf.mv_sf.warp_search_method, + cpi->sf.mv_sf.warp_search_iters); + if (mi->mv[0].as_int == ref_mv.as_int) { + continue; + } + + if (mv0.as_int != mi->mv[0].as_int) { + // Keep the refined MV and WM parameters. + int tmp_rate_mv = av1_mv_bit_cost( + &mi->mv[0].as_mv, &ref_mv.as_mv, x->mv_costs->nmv_joint_cost, + x->mv_costs->mv_cost_stack, MV_COST_WEIGHT); + *rate_mv = tmp_rate_mv; + } else { + // Restore the old MV and WM parameters. + mi->mv[0] = mv0; + mi->wm_params = wm_params0; + mi->num_proj_ref = num_proj_ref0; + } + } + // Build the warped predictor + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_Y, av1_num_planes(cm) - 1); + if (use_model_yrd_large) + model_skip_for_sb_y_large(cpi, bsize, mi_row, mi_col, x, xd, + &pf_rd_stats[mode_index], this_early_term, + 1, best_sse, NULL, UINT_MAX); + else + model_rd_for_sb_y(cpi, bsize, x, xd, &pf_rd_stats[mode_index], NULL, + 1, NULL); + + pf_rd_stats[mode_index].rate += + mode_costs->motion_mode_cost[bsize][mi->motion_mode]; + cost = RDCOST(x->rdmult, pf_rd_stats[mode_index].rate, + pf_rd_stats[mode_index].dist); + } else { + cost = INT64_MAX; + } + } + if (cost < best_cost) { + best_mode_index = mode_index; + best_cost = cost; + best_skip = pf_rd_stats[mode_index].skip_txfm; + best_early_term = *this_early_term; + best_mbmi = *mi; + } + } + assert(best_mode_index >= 0 && best_mode_index < FILTER_SEARCH_SIZE); + + *mi = best_mbmi; + this_rdc->rate = pf_rd_stats[best_mode_index].rate; + this_rdc->dist = pf_rd_stats[best_mode_index].dist; + this_rdc->sse = pf_rd_stats[best_mode_index].sse; + this_rdc->skip_txfm = (best_skip || best_early_term); + *this_early_term = best_early_term; + if (best_mode_index < FILTER_SEARCH_SIZE - 1) { + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_Y, AOM_PLANE_Y); + } +} +#endif // !CONFIG_REALTIME_ONLY + +#define COLLECT_NON_SQR_STAT 0 + +#if COLLECT_NONRD_PICK_MODE_STAT + +static AOM_INLINE void print_stage_time(const char *stage_name, + int64_t stage_time, + int64_t total_time) { + printf(" %s: %ld (%f%%)\n", stage_name, stage_time, + 100 * stage_time / (float)total_time); +} + +static void print_time(const mode_search_stat_nonrd *const ms_stat, + BLOCK_SIZE bsize, int mi_rows, int mi_cols, int mi_row, + int mi_col) { + if ((mi_row + mi_size_high[bsize] >= mi_rows) && + (mi_col + mi_size_wide[bsize] >= mi_cols)) { + int64_t total_time = 0l; + int32_t total_blocks = 0; + for (BLOCK_SIZE bs = 0; bs < BLOCK_SIZES; bs++) { + total_time += ms_stat->total_block_times[bs]; + total_blocks += ms_stat->num_blocks[bs]; + } + + printf("\n"); + for (BLOCK_SIZE bs = 0; bs < BLOCK_SIZES; bs++) { + if (ms_stat->num_blocks[bs] == 0) { + continue; + } + if (!COLLECT_NON_SQR_STAT && block_size_wide[bs] != block_size_high[bs]) { + continue; + } + + printf("BLOCK_%dX%d Num %d, Time: %ld (%f%%), Avg_time %f:\n", + block_size_wide[bs], block_size_high[bs], ms_stat->num_blocks[bs], + ms_stat->total_block_times[bs], + 100 * ms_stat->total_block_times[bs] / (float)total_time, + (float)ms_stat->total_block_times[bs] / ms_stat->num_blocks[bs]); + for (int j = 0; j < MB_MODE_COUNT; j++) { + if (ms_stat->nonskipped_search_times[bs][j] == 0) { + continue; + } + + int64_t total_mode_time = ms_stat->nonskipped_search_times[bs][j]; + printf(" Mode %d, %d/%d tps %f\n", j, + ms_stat->num_nonskipped_searches[bs][j], + ms_stat->num_searches[bs][j], + ms_stat->num_nonskipped_searches[bs][j] > 0 + ? (float)ms_stat->nonskipped_search_times[bs][j] / + ms_stat->num_nonskipped_searches[bs][j] + : 0l); + if (j >= INTER_MODE_START) { + total_mode_time = ms_stat->ms_time[bs][j] + ms_stat->ifs_time[bs][j] + + ms_stat->model_rd_time[bs][j] + + ms_stat->txfm_time[bs][j]; + print_stage_time("Motion Search Time", ms_stat->ms_time[bs][j], + total_time); + print_stage_time("Filter Search Time", ms_stat->ifs_time[bs][j], + total_time); + print_stage_time("Model RD Time", ms_stat->model_rd_time[bs][j], + total_time); + print_stage_time("Tranfm Search Time", ms_stat->txfm_time[bs][j], + total_time); + } + print_stage_time("Total Mode Time", total_mode_time, total_time); + } + printf("\n"); + } + printf("Total time = %ld. Total blocks = %d\n", total_time, total_blocks); + } +} +#endif // COLLECT_NONRD_PICK_MODE_STAT + +static bool should_prune_intra_modes_using_neighbors( + const MACROBLOCKD *xd, bool enable_intra_mode_pruning_using_neighbors, + PREDICTION_MODE this_mode, PREDICTION_MODE above_mode, + PREDICTION_MODE left_mode) { + if (!enable_intra_mode_pruning_using_neighbors) return false; + + // Avoid pruning of DC_PRED as it is the most probable mode to win as per the + // statistics generated for nonrd intra mode evaluations. + if (this_mode == DC_PRED) return false; + + // Enable the pruning for current mode only if it is not the winner mode of + // both the neighboring blocks (left/top). + return xd->up_available && this_mode != above_mode && xd->left_available && + this_mode != left_mode; +} + +void av1_nonrd_pick_intra_mode(AV1_COMP *cpi, MACROBLOCK *x, RD_STATS *rd_cost, + BLOCK_SIZE bsize, PICK_MODE_CONTEXT *ctx) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mi = xd->mi[0]; + RD_STATS this_rdc, best_rdc; + struct estimate_block_intra_args args; + init_estimate_block_intra_args(&args, cpi, x); + const TxfmSearchParams *txfm_params = &x->txfm_search_params; + mi->tx_size = + AOMMIN(max_txsize_lookup[bsize], + tx_mode_to_biggest_tx_size[txfm_params->tx_mode_search_type]); + assert(IMPLIES(xd->lossless[mi->segment_id], mi->tx_size == TX_4X4)); + const BLOCK_SIZE tx_bsize = txsize_to_bsize[mi->tx_size]; + + // If the current block size is the same as the transform block size, enable + // mode pruning based on the best SAD so far. + if (cpi->sf.rt_sf.prune_intra_mode_using_best_sad_so_far && bsize == tx_bsize) + args.prune_mode_based_on_sad = true; + + int *bmode_costs; + PREDICTION_MODE best_mode = DC_PRED; + const MB_MODE_INFO *above_mi = xd->above_mbmi; + const MB_MODE_INFO *left_mi = xd->left_mbmi; + const PREDICTION_MODE A = av1_above_block_mode(above_mi); + const PREDICTION_MODE L = av1_left_block_mode(left_mi); + const int above_ctx = intra_mode_context[A]; + const int left_ctx = intra_mode_context[L]; + const unsigned int source_variance = x->source_variance; + bmode_costs = x->mode_costs.y_mode_costs[above_ctx][left_ctx]; + + av1_invalid_rd_stats(&best_rdc); + av1_invalid_rd_stats(&this_rdc); + + init_mbmi_nonrd(mi, DC_PRED, INTRA_FRAME, NONE_FRAME, cm); + mi->mv[0].as_int = mi->mv[1].as_int = INVALID_MV; + + // Change the limit of this loop to add other intra prediction + // mode tests. + for (int mode_index = 0; mode_index < RTC_INTRA_MODES; ++mode_index) { + PREDICTION_MODE this_mode = intra_mode_list[mode_index]; + + // As per the statistics generated for intra mode evaluation in the nonrd + // path, it is found that the probability of H_PRED mode being the winner is + // very low when the best mode so far is V_PRED (out of DC_PRED and V_PRED). + // If V_PRED is the winner mode out of DC_PRED and V_PRED, it could imply + // the presence of a vertically dominant pattern. Hence, H_PRED mode is not + // evaluated. + if (cpi->sf.rt_sf.prune_h_pred_using_best_mode_so_far && + this_mode == H_PRED && best_mode == V_PRED) + continue; + + if (should_prune_intra_modes_using_neighbors( + xd, cpi->sf.rt_sf.enable_intra_mode_pruning_using_neighbors, + this_mode, A, L)) { + // Prune V_PRED and H_PRED if source variance of the block is less than + // or equal to 50. The source variance threshold is obtained empirically. + if ((this_mode == V_PRED || this_mode == H_PRED) && source_variance <= 50) + continue; + + // As per the statistics, probability of SMOOTH_PRED being the winner is + // low when best mode so far is DC_PRED (out of DC_PRED, V_PRED and + // H_PRED). Hence, SMOOTH_PRED mode is not evaluated. + if (best_mode == DC_PRED && this_mode == SMOOTH_PRED) continue; + } + + this_rdc.dist = this_rdc.rate = 0; + args.mode = this_mode; + args.skippable = 1; + args.rdc = &this_rdc; + mi->mode = this_mode; + av1_foreach_transformed_block_in_plane(xd, bsize, AOM_PLANE_Y, + av1_estimate_block_intra, &args); + + if (this_rdc.rate == INT_MAX) continue; + + const int skip_ctx = av1_get_skip_txfm_context(xd); + if (args.skippable) { + this_rdc.rate = x->mode_costs.skip_txfm_cost[skip_ctx][1]; + } else { + this_rdc.rate += x->mode_costs.skip_txfm_cost[skip_ctx][0]; + } + this_rdc.rate += bmode_costs[this_mode]; + this_rdc.rdcost = RDCOST(x->rdmult, this_rdc.rate, this_rdc.dist); + + if (this_rdc.rdcost < best_rdc.rdcost) { + best_rdc = this_rdc; + best_mode = this_mode; + if (!this_rdc.skip_txfm) { + memset(ctx->blk_skip, 0, + sizeof(x->txfm_search_info.blk_skip[0]) * ctx->num_4x4_blk); + } + } + } + + mi->mode = best_mode; + // Keep DC for UV since mode test is based on Y channel only. + mi->uv_mode = UV_DC_PRED; + *rd_cost = best_rdc; + + // For lossless: always force the skip flags off. + // Even though the blk_skip is set to 0 above in the rdcost comparison, + // do it here again in case the above logic changes. + if (is_lossless_requested(&cpi->oxcf.rc_cfg)) { + x->txfm_search_info.skip_txfm = 0; + memset(ctx->blk_skip, 0, + sizeof(x->txfm_search_info.blk_skip[0]) * ctx->num_4x4_blk); + } + +#if CONFIG_INTERNAL_STATS + store_coding_context_nonrd(x, ctx, mi->mode); +#else + store_coding_context_nonrd(x, ctx); +#endif // CONFIG_INTERNAL_STATS +} + +static AOM_INLINE int is_same_gf_and_last_scale(AV1_COMMON *cm) { + struct scale_factors *const sf_last = get_ref_scale_factors(cm, LAST_FRAME); + struct scale_factors *const sf_golden = + get_ref_scale_factors(cm, GOLDEN_FRAME); + return ((sf_last->x_scale_fp == sf_golden->x_scale_fp) && + (sf_last->y_scale_fp == sf_golden->y_scale_fp)); +} + +static AOM_INLINE void get_ref_frame_use_mask(AV1_COMP *cpi, MACROBLOCK *x, + MB_MODE_INFO *mi, int mi_row, + int mi_col, BLOCK_SIZE bsize, + int gf_temporal_ref, + int use_ref_frame[], + int *force_skip_low_temp_var) { + AV1_COMMON *const cm = &cpi->common; + const struct segmentation *const seg = &cm->seg; + const int is_small_sb = (cm->seq_params->sb_size == BLOCK_64X64); + + // When the ref_frame_config is used to set the reference frame structure + // then the usage of alt_ref is determined by the ref_frame_flags + // (and not the speed feature use_nonrd_altref_frame). + int use_alt_ref_frame = cpi->ppi->rtc_ref.set_ref_frame_config || + cpi->sf.rt_sf.use_nonrd_altref_frame; + + int use_golden_ref_frame = 1; + int use_last_ref_frame = 1; + + // When the ref_frame_config is used to set the reference frame structure: + // check if LAST is used as a reference. And only remove golden and altref + // references below if last is used as a reference. + if (cpi->ppi->rtc_ref.set_ref_frame_config) + use_last_ref_frame = + cpi->ref_frame_flags & AOM_LAST_FLAG ? use_last_ref_frame : 0; + + // frame_since_golden is not used when user sets the referene structure. + if (!cpi->ppi->rtc_ref.set_ref_frame_config && use_last_ref_frame && + cpi->rc.frames_since_golden == 0 && gf_temporal_ref) { + use_golden_ref_frame = 0; + } + + if (use_last_ref_frame && cpi->sf.rt_sf.short_circuit_low_temp_var && + x->nonrd_prune_ref_frame_search) { + if (is_small_sb) + *force_skip_low_temp_var = av1_get_force_skip_low_temp_var_small_sb( + &x->part_search_info.variance_low[0], mi_row, mi_col, bsize); + else + *force_skip_low_temp_var = av1_get_force_skip_low_temp_var( + &x->part_search_info.variance_low[0], mi_row, mi_col, bsize); + // If force_skip_low_temp_var is set, skip golden reference. + if (*force_skip_low_temp_var) { + use_golden_ref_frame = 0; + use_alt_ref_frame = 0; + } + } + + if (use_last_ref_frame && + (x->nonrd_prune_ref_frame_search > 2 || x->force_zeromv_skip_for_blk || + (x->nonrd_prune_ref_frame_search > 1 && bsize > BLOCK_64X64))) { + use_golden_ref_frame = 0; + use_alt_ref_frame = 0; + } + + if (segfeature_active(seg, mi->segment_id, SEG_LVL_REF_FRAME) && + get_segdata(seg, mi->segment_id, SEG_LVL_REF_FRAME) == GOLDEN_FRAME) { + use_golden_ref_frame = 1; + use_alt_ref_frame = 0; + } + + // Skip golden/altref reference if color is set, on flat blocks with motion. + // For screen: always skip golden/alt (if color_sensitivity_sb_g/alt is set) + // except when x->nonrd_prune_ref_frame_search = 0. This latter flag + // may be set in the variance partition when golden is a much better + // reference than last, in which case it may not be worth skipping + // golden/altref completely. + // Condition on use_last_ref to make sure there remains at least one + // reference. + if (use_last_ref_frame && + ((cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN && + x->nonrd_prune_ref_frame_search != 0) || + (x->source_variance < 200 && + x->content_state_sb.source_sad_nonrd >= kLowSad))) { + if (x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_U)] == 1 || + x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_V)] == 1) + use_golden_ref_frame = 0; + if (x->color_sensitivity_sb_alt[COLOR_SENS_IDX(AOM_PLANE_U)] == 1 || + x->color_sensitivity_sb_alt[COLOR_SENS_IDX(AOM_PLANE_V)] == 1) + use_alt_ref_frame = 0; + } + + // For non-screen: if golden and altref are not being selected as references + // (use_golden_ref_frame/use_alt_ref_frame = 0) check to allow golden back + // based on the sad of nearest/nearmv of LAST ref. If this block sad is large, + // keep golden as reference. Only do this for the agrressive pruning mode and + // avoid it when color is set for golden reference. + if (cpi->oxcf.tune_cfg.content != AOM_CONTENT_SCREEN && + (cpi->ref_frame_flags & AOM_LAST_FLAG) && !use_golden_ref_frame && + !use_alt_ref_frame && x->pred_mv_sad[LAST_FRAME] != INT_MAX && + x->nonrd_prune_ref_frame_search > 2 && + x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_U)] == 0 && + x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_V)] == 0) { + int thr = (cm->width * cm->height > RESOLUTION_288P) ? 100 : 150; + int pred = x->pred_mv_sad[LAST_FRAME] >> + (b_width_log2_lookup[bsize] + b_height_log2_lookup[bsize]); + if (pred > thr) use_golden_ref_frame = 1; + } + + use_alt_ref_frame = + cpi->ref_frame_flags & AOM_ALT_FLAG ? use_alt_ref_frame : 0; + use_golden_ref_frame = + cpi->ref_frame_flags & AOM_GOLD_FLAG ? use_golden_ref_frame : 0; + + // For spatial layers: enable golden ref if it is set by user and + // corresponds to the lower spatial layer. + if (cpi->svc.spatial_layer_id > 0 && (cpi->ref_frame_flags & AOM_GOLD_FLAG) && + x->content_state_sb.source_sad_nonrd < kHighSad) { + const int buffslot_golden = + cpi->ppi->rtc_ref.ref_idx[GOLDEN_FRAME - LAST_FRAME]; + if (cpi->ppi->rtc_ref.buffer_time_index[buffslot_golden] == + cpi->svc.current_superframe) + use_golden_ref_frame = 1; + } + + use_ref_frame[ALTREF_FRAME] = use_alt_ref_frame; + use_ref_frame[GOLDEN_FRAME] = use_golden_ref_frame; + use_ref_frame[LAST_FRAME] = use_last_ref_frame; + // Keep this assert on, as only 3 references are used in nonrd_pickmode + // (LAST, GOLDEN, ALTREF), and if all 3 are not set by user then this + // frame must be an intra-only frame and hence should never enter the + // pickmode here for inter frames. + assert(use_last_ref_frame || use_golden_ref_frame || use_alt_ref_frame); +} + +static AOM_INLINE int is_filter_search_enabled_blk( + AV1_COMP *cpi, MACROBLOCK *x, int mi_row, int mi_col, BLOCK_SIZE bsize, + int segment_id, int cb_pred_filter_search, InterpFilter *filt_select) { + const AV1_COMMON *const cm = &cpi->common; + // filt search disabled + if (!cpi->sf.rt_sf.use_nonrd_filter_search) return 0; + // filt search purely based on mode properties + if (!cb_pred_filter_search) return 1; + MACROBLOCKD *const xd = &x->e_mbd; + int enable_interp_search = 0; + if (!(xd->left_mbmi && xd->above_mbmi)) { + // neighbors info unavailable + enable_interp_search = 2; + } else if (!(is_inter_block(xd->left_mbmi) && + is_inter_block(xd->above_mbmi))) { + // neighbor is INTRA + enable_interp_search = 2; + } else if (xd->left_mbmi->interp_filters.as_int != + xd->above_mbmi->interp_filters.as_int) { + // filters are different + enable_interp_search = 2; + } else if ((cb_pred_filter_search == 1) && + (xd->left_mbmi->interp_filters.as_filters.x_filter != + EIGHTTAP_REGULAR)) { + // not regular + enable_interp_search = 2; + } else { + // enable prediction based on chessboard pattern + if (xd->left_mbmi->interp_filters.as_filters.x_filter == EIGHTTAP_SMOOTH) + *filt_select = EIGHTTAP_SMOOTH; + const int bsl = mi_size_wide_log2[bsize]; + enable_interp_search = + (bool)((((mi_row + mi_col) >> bsl) + + get_chessboard_index(cm->current_frame.frame_number)) & + 0x1); + if (cyclic_refresh_segment_id_boosted(segment_id)) enable_interp_search = 1; + } + return enable_interp_search; +} + +static AOM_INLINE int skip_mode_by_threshold( + PREDICTION_MODE mode, MV_REFERENCE_FRAME ref_frame, int_mv mv, + int frames_since_golden, const int *const rd_threshes, + const int *const rd_thresh_freq_fact, int64_t best_cost, int best_skip, + int extra_shift) { + int skip_this_mode = 0; + const THR_MODES mode_index = mode_idx[ref_frame][INTER_OFFSET(mode)]; + int64_t mode_rd_thresh = + best_skip ? ((int64_t)rd_threshes[mode_index]) << (extra_shift + 1) + : ((int64_t)rd_threshes[mode_index]) << extra_shift; + + // Increase mode_rd_thresh value for non-LAST for improved encoding + // speed + if (ref_frame != LAST_FRAME) { + mode_rd_thresh = mode_rd_thresh << 1; + if (ref_frame == GOLDEN_FRAME && frames_since_golden > 4) + mode_rd_thresh = mode_rd_thresh << (extra_shift + 1); + } + + if (rd_less_than_thresh(best_cost, mode_rd_thresh, + rd_thresh_freq_fact[mode_index])) + if (mv.as_int != 0) skip_this_mode = 1; + + return skip_this_mode; +} + +static AOM_INLINE int skip_mode_by_low_temp( + PREDICTION_MODE mode, MV_REFERENCE_FRAME ref_frame, BLOCK_SIZE bsize, + CONTENT_STATE_SB content_state_sb, int_mv mv, int force_skip_low_temp_var) { + // Skip non-zeromv mode search for non-LAST frame if force_skip_low_temp_var + // is set. If nearestmv for golden frame is 0, zeromv mode will be skipped + // later. + if (force_skip_low_temp_var && ref_frame != LAST_FRAME && mv.as_int != 0) { + return 1; + } + + if (content_state_sb.source_sad_nonrd != kHighSad && bsize >= BLOCK_64X64 && + force_skip_low_temp_var && mode == NEWMV) { + return 1; + } + return 0; +} + +static AOM_INLINE int skip_mode_by_bsize_and_ref_frame( + PREDICTION_MODE mode, MV_REFERENCE_FRAME ref_frame, BLOCK_SIZE bsize, + int extra_prune, unsigned int sse_zeromv_norm, int more_prune) { + const unsigned int thresh_skip_golden = 500; + + if (ref_frame != LAST_FRAME && sse_zeromv_norm < thresh_skip_golden && + mode == NEWMV) + return 1; + + if (bsize == BLOCK_128X128 && mode == NEWMV) return 1; + + // Skip testing non-LAST if this flag is set. + if (extra_prune) { + if (extra_prune > 1 && ref_frame != LAST_FRAME && + (bsize > BLOCK_16X16 && mode == NEWMV)) + return 1; + + if (ref_frame != LAST_FRAME && mode == NEARMV) return 1; + + if (more_prune && bsize >= BLOCK_32X32 && mode == NEARMV) return 1; + } + return 0; +} + +static void set_block_source_sad(AV1_COMP *cpi, MACROBLOCK *x, BLOCK_SIZE bsize, + struct buf_2d *yv12_mb) { + struct macroblock_plane *const p = &x->plane[0]; + const int y_sad = cpi->ppi->fn_ptr[bsize].sdf(p->src.buf, p->src.stride, + yv12_mb->buf, yv12_mb->stride); + if (y_sad == 0) x->block_is_zero_sad = 1; +} + +static void set_color_sensitivity(AV1_COMP *cpi, MACROBLOCK *x, + BLOCK_SIZE bsize, int y_sad, + unsigned int source_variance, + struct buf_2d yv12_mb[MAX_MB_PLANE]) { + const int subsampling_x = cpi->common.seq_params->subsampling_x; + const int subsampling_y = cpi->common.seq_params->subsampling_y; + const int source_sad_nonrd = x->content_state_sb.source_sad_nonrd; + const int high_res = cpi->common.width * cpi->common.height >= 640 * 360; + if (bsize == cpi->common.seq_params->sb_size) { + // At superblock level color_sensitivity is already set to 0, 1, or 2. + // 2 is middle/uncertain level. To avoid additional sad + // computations when bsize = sb_size force level 2 to 1 (certain color) + // for motion areas. + if (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] == 2) { + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] = + source_sad_nonrd >= kMedSad ? 1 : 0; + } + if (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] == 2) { + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] = + source_sad_nonrd >= kMedSad ? 1 : 0; + } + return; + } + int shift = 3; + unsigned int source_var_thr = 50; + int uv_sad_thr = 100; + if (source_sad_nonrd >= kMedSad && x->source_variance > 0 && high_res) + shift = 4; + if (cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN) { + if (cpi->rc.high_source_sad) shift = 6; + if (source_sad_nonrd > kMedSad) { + source_var_thr = 1200; + uv_sad_thr = 10; + } + } + NOISE_LEVEL noise_level = kLow; + int norm_sad = + y_sad >> (b_width_log2_lookup[bsize] + b_height_log2_lookup[bsize]); + unsigned int thresh_spatial = (cpi->common.width > 1920) ? 5000 : 1000; + // If the spatial source variance is high and the normalized y_sad + // is low, then y-channel is likely good for mode estimation, so keep + // color_sensitivity off. For low noise content for now, since there is + // some bdrate regression for noisy color clip. + if (cpi->noise_estimate.enabled) + noise_level = av1_noise_estimate_extract_level(&cpi->noise_estimate); + if (noise_level == kLow && source_variance > thresh_spatial && + cpi->oxcf.tune_cfg.content != AOM_CONTENT_SCREEN && norm_sad < 50) { + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] = 0; + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] = 0; + return; + } + const int num_planes = av1_num_planes(&cpi->common); + + for (int plane = AOM_PLANE_U; plane < num_planes; ++plane) { + // Always check if level = 2. If level = 0 check again for + // motion areas for higher resolns, where color artifacts + // are more noticeable. + if (x->color_sensitivity[COLOR_SENS_IDX(plane)] == 2 || + (x->color_sensitivity[COLOR_SENS_IDX(plane)] == 0 && + source_sad_nonrd >= kMedSad && high_res)) { + struct macroblock_plane *const p = &x->plane[plane]; + const BLOCK_SIZE bs = + get_plane_block_size(bsize, subsampling_x, subsampling_y); + + const int uv_sad = cpi->ppi->fn_ptr[bs].sdf( + p->src.buf, p->src.stride, yv12_mb[plane].buf, yv12_mb[plane].stride); + + const int norm_uv_sad = + uv_sad >> (b_width_log2_lookup[bs] + b_height_log2_lookup[bs]); + x->color_sensitivity[COLOR_SENS_IDX(plane)] = + uv_sad > (y_sad >> shift) && norm_uv_sad > 40; + if (source_variance < source_var_thr && norm_uv_sad > uv_sad_thr) + x->color_sensitivity[COLOR_SENS_IDX(plane)] = 1; + } + } +} + +static void setup_compound_prediction(const AV1_COMMON *cm, MACROBLOCK *x, + struct buf_2d yv12_mb[8][MAX_MB_PLANE], + const int *use_ref_frame_mask, + const MV_REFERENCE_FRAME *rf, + int *ref_mv_idx) { + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mbmi = xd->mi[0]; + MB_MODE_INFO_EXT *const mbmi_ext = &x->mbmi_ext; + MV_REFERENCE_FRAME ref_frame_comp; + if (!use_ref_frame_mask[rf[1]]) { + // Need to setup pred_block, if it hasn't been done in find_predictors. + const YV12_BUFFER_CONFIG *yv12 = get_ref_frame_yv12_buf(cm, rf[1]); + const int num_planes = av1_num_planes(cm); + if (yv12 != NULL) { + const struct scale_factors *const sf = + get_ref_scale_factors_const(cm, rf[1]); + av1_setup_pred_block(xd, yv12_mb[rf[1]], yv12, sf, sf, num_planes); + } + } + ref_frame_comp = av1_ref_frame_type(rf); + mbmi_ext->mode_context[ref_frame_comp] = 0; + mbmi_ext->ref_mv_count[ref_frame_comp] = UINT8_MAX; + av1_find_mv_refs(cm, xd, mbmi, ref_frame_comp, mbmi_ext->ref_mv_count, + xd->ref_mv_stack, xd->weight, NULL, mbmi_ext->global_mvs, + mbmi_ext->mode_context); + av1_copy_usable_ref_mv_stack_and_weight(xd, mbmi_ext, ref_frame_comp); + *ref_mv_idx = mbmi->ref_mv_idx + 1; +} + +static void set_compound_mode(MACROBLOCK *x, MV_REFERENCE_FRAME ref_frame, + MV_REFERENCE_FRAME ref_frame2, int ref_mv_idx, + int_mv frame_mv[MB_MODE_COUNT][REF_FRAMES], + PREDICTION_MODE this_mode) { + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mi = xd->mi[0]; + mi->ref_frame[0] = ref_frame; + mi->ref_frame[1] = ref_frame2; + mi->compound_idx = 1; + mi->comp_group_idx = 0; + mi->interinter_comp.type = COMPOUND_AVERAGE; + MV_REFERENCE_FRAME ref_frame_comp = av1_ref_frame_type(mi->ref_frame); + if (this_mode == GLOBAL_GLOBALMV) { + frame_mv[this_mode][ref_frame].as_int = 0; + frame_mv[this_mode][ref_frame2].as_int = 0; + } else if (this_mode == NEAREST_NEARESTMV) { + frame_mv[this_mode][ref_frame].as_int = + xd->ref_mv_stack[ref_frame_comp][0].this_mv.as_int; + frame_mv[this_mode][ref_frame2].as_int = + xd->ref_mv_stack[ref_frame_comp][0].comp_mv.as_int; + } else if (this_mode == NEAR_NEARMV) { + frame_mv[this_mode][ref_frame].as_int = + xd->ref_mv_stack[ref_frame_comp][ref_mv_idx].this_mv.as_int; + frame_mv[this_mode][ref_frame2].as_int = + xd->ref_mv_stack[ref_frame_comp][ref_mv_idx].comp_mv.as_int; + } +} + +// Prune compound mode if the single mode variance is lower than a fixed +// percentage of the median value. +static bool skip_comp_based_on_var( + const unsigned int (*single_vars)[REF_FRAMES], BLOCK_SIZE bsize) { + unsigned int best_var = UINT_MAX; + for (int cur_mode_idx = 0; cur_mode_idx < RTC_INTER_MODES; cur_mode_idx++) { + for (int ref_idx = 0; ref_idx < REF_FRAMES; ref_idx++) { + best_var = AOMMIN(best_var, single_vars[cur_mode_idx][ref_idx]); + } + } + const unsigned int thresh_64 = (unsigned int)(0.57356805f * 8659); + const unsigned int thresh_32 = (unsigned int)(0.23964763f * 4281); + + // Currently, the thresh for 128 and 16 are not well-tuned. We are using the + // results from 64 and 32 as an heuristic. + switch (bsize) { + case BLOCK_128X128: return best_var < 4 * thresh_64; + case BLOCK_64X64: return best_var < thresh_64; + case BLOCK_32X32: return best_var < thresh_32; + case BLOCK_16X16: return best_var < thresh_32 / 4; + default: return false; + } +} + +static AOM_FORCE_INLINE void fill_single_inter_mode_costs( + int (*single_inter_mode_costs)[REF_FRAMES], int num_inter_modes, + const REF_MODE *reference_mode_set, const ModeCosts *mode_costs, + const int16_t *mode_context) { + bool ref_frame_used[REF_FRAMES] = { false }; + for (int idx = 0; idx < num_inter_modes; idx++) { + ref_frame_used[reference_mode_set[idx].ref_frame] = true; + } + + for (int this_ref_frame = LAST_FRAME; this_ref_frame < REF_FRAMES; + this_ref_frame++) { + if (!ref_frame_used[this_ref_frame]) { + continue; + } + + const MV_REFERENCE_FRAME rf[2] = { this_ref_frame, NONE_FRAME }; + const int16_t mode_ctx = av1_mode_context_analyzer(mode_context, rf); + for (PREDICTION_MODE this_mode = NEARESTMV; this_mode <= NEWMV; + this_mode++) { + single_inter_mode_costs[INTER_OFFSET(this_mode)][this_ref_frame] = + cost_mv_ref(mode_costs, this_mode, mode_ctx); + } + } +} + +static AOM_INLINE bool is_globalmv_better( + PREDICTION_MODE this_mode, MV_REFERENCE_FRAME ref_frame, int rate_mv, + const ModeCosts *mode_costs, + const int (*single_inter_mode_costs)[REF_FRAMES], + const MB_MODE_INFO_EXT *mbmi_ext) { + const int globalmv_mode_cost = + single_inter_mode_costs[INTER_OFFSET(GLOBALMV)][ref_frame]; + int this_mode_cost = + rate_mv + single_inter_mode_costs[INTER_OFFSET(this_mode)][ref_frame]; + if (this_mode == NEWMV || this_mode == NEARMV) { + const MV_REFERENCE_FRAME rf[2] = { ref_frame, NONE_FRAME }; + this_mode_cost += get_drl_cost( + NEWMV, 0, mbmi_ext, mode_costs->drl_mode_cost0, av1_ref_frame_type(rf)); + } + return this_mode_cost > globalmv_mode_cost; +} + +// Set up the mv/ref_frames etc based on the comp_index. Returns 1 if it +// succeeds, 0 if it fails. +static AOM_INLINE int setup_compound_params_from_comp_idx( + const AV1_COMP *cpi, MACROBLOCK *x, struct buf_2d yv12_mb[8][MAX_MB_PLANE], + PREDICTION_MODE *this_mode, MV_REFERENCE_FRAME *ref_frame, + MV_REFERENCE_FRAME *ref_frame2, int_mv frame_mv[MB_MODE_COUNT][REF_FRAMES], + const int *use_ref_frame_mask, int comp_index, + bool comp_use_zero_zeromv_only, MV_REFERENCE_FRAME *last_comp_ref_frame, + BLOCK_SIZE bsize) { + const MV_REFERENCE_FRAME *rf = comp_ref_mode_set[comp_index].ref_frame; + int skip_gf = 0; + int skip_alt = 0; + *this_mode = comp_ref_mode_set[comp_index].pred_mode; + *ref_frame = rf[0]; + *ref_frame2 = rf[1]; + assert(*ref_frame == LAST_FRAME); + assert(*this_mode == GLOBAL_GLOBALMV || *this_mode == NEAREST_NEARESTMV); + if (x->source_variance < 50 && bsize > BLOCK_16X16) { + if (x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_U)] == 1 || + x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_V)] == 1) + skip_gf = 1; + if (x->color_sensitivity_sb_alt[COLOR_SENS_IDX(AOM_PLANE_U)] == 1 || + x->color_sensitivity_sb_alt[COLOR_SENS_IDX(AOM_PLANE_V)] == 1) + skip_alt = 1; + } + if (comp_use_zero_zeromv_only && *this_mode != GLOBAL_GLOBALMV) { + return 0; + } + if (*ref_frame2 == GOLDEN_FRAME && + (cpi->sf.rt_sf.ref_frame_comp_nonrd[0] == 0 || skip_gf || + !(cpi->ref_frame_flags & AOM_GOLD_FLAG))) { + return 0; + } else if (*ref_frame2 == LAST2_FRAME && + (cpi->sf.rt_sf.ref_frame_comp_nonrd[1] == 0 || + !(cpi->ref_frame_flags & AOM_LAST2_FLAG))) { + return 0; + } else if (*ref_frame2 == ALTREF_FRAME && + (cpi->sf.rt_sf.ref_frame_comp_nonrd[2] == 0 || skip_alt || + !(cpi->ref_frame_flags & AOM_ALT_FLAG))) { + return 0; + } + int ref_mv_idx = 0; + if (*last_comp_ref_frame != rf[1]) { + // Only needs to be done once per reference pair. + setup_compound_prediction(&cpi->common, x, yv12_mb, use_ref_frame_mask, rf, + &ref_mv_idx); + *last_comp_ref_frame = rf[1]; + } + set_compound_mode(x, *ref_frame, *ref_frame2, ref_mv_idx, frame_mv, + *this_mode); + if (*this_mode != GLOBAL_GLOBALMV && + frame_mv[*this_mode][*ref_frame].as_int == 0 && + frame_mv[*this_mode][*ref_frame2].as_int == 0) { + return 0; + } + + return 1; +} + +static AOM_INLINE bool previous_mode_performed_poorly( + PREDICTION_MODE mode, MV_REFERENCE_FRAME ref_frame, + const unsigned int (*vars)[REF_FRAMES], + const int64_t (*uv_dist)[REF_FRAMES]) { + unsigned int best_var = UINT_MAX; + int64_t best_uv_dist = INT64_MAX; + for (int midx = 0; midx < RTC_INTER_MODES; midx++) { + best_var = AOMMIN(best_var, vars[midx][ref_frame]); + best_uv_dist = AOMMIN(best_uv_dist, uv_dist[midx][ref_frame]); + } + assert(best_var != UINT_MAX && "Invalid variance data."); + const float mult = 1.125f; + bool var_bad = mult * best_var < vars[INTER_OFFSET(mode)][ref_frame]; + if (uv_dist[INTER_OFFSET(mode)][ref_frame] < INT64_MAX && + best_uv_dist != uv_dist[INTER_OFFSET(mode)][ref_frame]) { + // If we have chroma info, then take it into account + var_bad &= mult * best_uv_dist < uv_dist[INTER_OFFSET(mode)][ref_frame]; + } + return var_bad; +} + +static AOM_INLINE bool prune_compoundmode_with_singlemode_var( + PREDICTION_MODE compound_mode, MV_REFERENCE_FRAME ref_frame, + MV_REFERENCE_FRAME ref_frame2, const int_mv (*frame_mv)[REF_FRAMES], + const uint8_t (*mode_checked)[REF_FRAMES], + const unsigned int (*vars)[REF_FRAMES], + const int64_t (*uv_dist)[REF_FRAMES]) { + const PREDICTION_MODE single_mode0 = compound_ref0_mode(compound_mode); + const PREDICTION_MODE single_mode1 = compound_ref1_mode(compound_mode); + + bool first_ref_valid = false, second_ref_valid = false; + bool first_ref_bad = false, second_ref_bad = false; + if (mode_checked[single_mode0][ref_frame] && + frame_mv[single_mode0][ref_frame].as_int == + frame_mv[compound_mode][ref_frame].as_int && + vars[INTER_OFFSET(single_mode0)][ref_frame] < UINT_MAX) { + first_ref_valid = true; + first_ref_bad = + previous_mode_performed_poorly(single_mode0, ref_frame, vars, uv_dist); + } + if (mode_checked[single_mode1][ref_frame2] && + frame_mv[single_mode1][ref_frame2].as_int == + frame_mv[compound_mode][ref_frame2].as_int && + vars[INTER_OFFSET(single_mode1)][ref_frame2] < UINT_MAX) { + second_ref_valid = true; + second_ref_bad = + previous_mode_performed_poorly(single_mode1, ref_frame2, vars, uv_dist); + } + if (first_ref_valid && second_ref_valid) { + return first_ref_bad && second_ref_bad; + } else if (first_ref_valid || second_ref_valid) { + return first_ref_bad || second_ref_bad; + } + return false; +} + +// Function to setup parameters used for inter mode evaluation in non-rd. +static AOM_FORCE_INLINE void set_params_nonrd_pick_inter_mode( + AV1_COMP *cpi, MACROBLOCK *x, InterModeSearchStateNonrd *search_state, + RD_STATS *rd_cost, int *force_skip_low_temp_var, int mi_row, int mi_col, + int gf_temporal_ref, unsigned char segment_id, BLOCK_SIZE bsize +#if CONFIG_AV1_TEMPORAL_DENOISING + , + PICK_MODE_CONTEXT *ctx, int denoise_svc_pickmode +#endif +) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCKD *const xd = &x->e_mbd; + TxfmSearchInfo *txfm_info = &x->txfm_search_info; + MB_MODE_INFO *const mi = xd->mi[0]; + const ModeCosts *mode_costs = &x->mode_costs; + int skip_pred_mv = 0; + + // Initialize variance and distortion (chroma) for all modes and reference + // frames + for (int idx = 0; idx < RTC_INTER_MODES; idx++) { + for (int ref = 0; ref < REF_FRAMES; ref++) { + search_state->vars[idx][ref] = UINT_MAX; + search_state->uv_dist[idx][ref] = INT64_MAX; + } + } + + // Initialize values of color sensitivity with sb level color sensitivity + av1_copy(x->color_sensitivity, x->color_sensitivity_sb); + + init_best_pickmode(&search_state->best_pickmode); + + // Estimate cost for single reference frames + estimate_single_ref_frame_costs(cm, xd, mode_costs, segment_id, bsize, + search_state->ref_costs_single); + + // Reset flag to indicate modes evaluated + av1_zero(search_state->mode_checked); + + txfm_info->skip_txfm = 0; + + // Initialize mode decisions + av1_invalid_rd_stats(&search_state->best_rdc); + av1_invalid_rd_stats(&search_state->this_rdc); + av1_invalid_rd_stats(rd_cost); + for (int ref_idx = 0; ref_idx < REF_FRAMES; ++ref_idx) { + x->warp_sample_info[ref_idx].num = -1; + } + + mi->bsize = bsize; + mi->ref_frame[0] = NONE_FRAME; + mi->ref_frame[1] = NONE_FRAME; + +#if CONFIG_AV1_TEMPORAL_DENOISING + if (cpi->oxcf.noise_sensitivity > 0) { + // if (cpi->ppi->use_svc) denoise_svc_pickmode = + // av1_denoise_svc_non_key(cpi); + if (cpi->denoiser.denoising_level > kDenLowLow && denoise_svc_pickmode) + av1_denoiser_reset_frame_stats(ctx); + } +#endif + + // Populate predicated motion vectors for LAST_FRAME + if (cpi->ref_frame_flags & AOM_LAST_FLAG) { + find_predictors(cpi, x, LAST_FRAME, search_state->frame_mv, + search_state->yv12_mb, bsize, *force_skip_low_temp_var, + x->force_zeromv_skip_for_blk, + &search_state->use_scaled_ref_frame[LAST_FRAME]); + } + // Update mask to use all reference frame + get_ref_frame_use_mask(cpi, x, mi, mi_row, mi_col, bsize, gf_temporal_ref, + search_state->use_ref_frame_mask, + force_skip_low_temp_var); + + skip_pred_mv = x->force_zeromv_skip_for_blk || + (x->nonrd_prune_ref_frame_search > 2 && + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] != 2 && + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] != 2); + + // Populate predicated motion vectors for other single reference frame + // Start at LAST_FRAME + 1. + for (MV_REFERENCE_FRAME ref_frame_iter = LAST_FRAME + 1; + ref_frame_iter <= ALTREF_FRAME; ++ref_frame_iter) { + if (search_state->use_ref_frame_mask[ref_frame_iter]) { + find_predictors(cpi, x, ref_frame_iter, search_state->frame_mv, + search_state->yv12_mb, bsize, *force_skip_low_temp_var, + skip_pred_mv, + &search_state->use_scaled_ref_frame[ref_frame_iter]); + } + } +} + +// Function to check the inter mode can be skipped based on mode statistics and +// speed features settings. +static AOM_FORCE_INLINE bool skip_inter_mode_nonrd( + AV1_COMP *cpi, MACROBLOCK *x, InterModeSearchStateNonrd *search_state, + int64_t *thresh_sad_pred, int *force_mv_inter_layer, int *is_single_pred, + PREDICTION_MODE *this_mode, MV_REFERENCE_FRAME *last_comp_ref_frame, + MV_REFERENCE_FRAME *ref_frame, MV_REFERENCE_FRAME *ref_frame2, int idx, + int_mv svc_mv, int force_skip_low_temp_var, unsigned int sse_zeromv_norm, + int num_inter_modes, unsigned char segment_id, BLOCK_SIZE bsize, + bool comp_use_zero_zeromv_only, bool check_globalmv) { + AV1_COMMON *const cm = &cpi->common; + const struct segmentation *const seg = &cm->seg; + const SVC *const svc = &cpi->svc; + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mi = xd->mi[0]; + const REAL_TIME_SPEED_FEATURES *const rt_sf = &cpi->sf.rt_sf; + + // Skip compound mode based on reference frame mask and type of the mode and + // for allowed compound modes, setup ref mv stack and reference frame. + if (idx >= num_inter_modes) { + const int comp_index = idx - num_inter_modes; + if (!setup_compound_params_from_comp_idx( + cpi, x, search_state->yv12_mb, this_mode, ref_frame, ref_frame2, + search_state->frame_mv, search_state->use_ref_frame_mask, + comp_index, comp_use_zero_zeromv_only, last_comp_ref_frame, + bsize)) { + return true; + } + *is_single_pred = 0; + } else { + *this_mode = ref_mode_set[idx].pred_mode; + *ref_frame = ref_mode_set[idx].ref_frame; + *ref_frame2 = NONE_FRAME; + } + + if (x->sb_me_block && *ref_frame == LAST_FRAME) { + // We want to make sure to test the superblock MV: + // so don't skip (return false) for NEAREST_LAST or NEAR_LAST if they + // have this sb MV. And don't skip NEWMV_LAST: this will be set to + // sb MV in handle_inter_mode_nonrd(), in case NEAREST or NEAR don't + // have it. + if (*this_mode == NEARESTMV && + search_state->frame_mv[NEARESTMV][LAST_FRAME].as_int == + x->sb_me_mv.as_int) { + return false; + } + if (*this_mode == NEARMV && + search_state->frame_mv[NEARMV][LAST_FRAME].as_int == + x->sb_me_mv.as_int) { + return false; + } + if (*this_mode == NEWMV) { + return false; + } + } + + // Skip the single reference mode for which mode check flag is set. + if (*is_single_pred && search_state->mode_checked[*this_mode][*ref_frame]) { + return true; + } + + // Skip GLOBALMV mode if check_globalmv flag is not enabled. + if (!check_globalmv && *this_mode == GLOBALMV) { + return true; + } + +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_start(&x->ms_stat_nonrd.timer1); + x->ms_stat_nonrd.num_searches[bsize][*this_mode]++; +#endif + mi->mode = *this_mode; + mi->ref_frame[0] = *ref_frame; + mi->ref_frame[1] = *ref_frame2; + + // Skip the mode if use reference frame mask flag is not set. + if (!search_state->use_ref_frame_mask[*ref_frame]) return true; + + // Skip mode for some modes and reference frames when + // force_zeromv_skip_for_blk flag is true. + if (x->force_zeromv_skip_for_blk && + ((!(*this_mode == NEARESTMV && + search_state->frame_mv[*this_mode][*ref_frame].as_int == 0) && + *this_mode != GLOBALMV) || + *ref_frame != LAST_FRAME)) + return true; + + // Skip compound mode based on variance of previously evaluated single + // reference modes. + if (rt_sf->prune_compoundmode_with_singlemode_var && !*is_single_pred && + prune_compoundmode_with_singlemode_var( + *this_mode, *ref_frame, *ref_frame2, search_state->frame_mv, + search_state->mode_checked, search_state->vars, + search_state->uv_dist)) { + return true; + } + + *force_mv_inter_layer = 0; + if (cpi->ppi->use_svc && svc->spatial_layer_id > 0 && + ((*ref_frame == LAST_FRAME && svc->skip_mvsearch_last) || + (*ref_frame == GOLDEN_FRAME && svc->skip_mvsearch_gf) || + (*ref_frame == ALTREF_FRAME && svc->skip_mvsearch_altref))) { + // Only test mode if NEARESTMV/NEARMV is (svc_mv.mv.col, svc_mv.mv.row), + // otherwise set NEWMV to (svc_mv.mv.col, svc_mv.mv.row). + // Skip newmv and filter search. + *force_mv_inter_layer = 1; + if (*this_mode == NEWMV) { + search_state->frame_mv[*this_mode][*ref_frame] = svc_mv; + } else if (search_state->frame_mv[*this_mode][*ref_frame].as_int != + svc_mv.as_int) { + return true; + } + } + + // If the segment reference frame feature is enabled then do nothing if the + // current ref frame is not allowed. + if (segfeature_active(seg, segment_id, SEG_LVL_REF_FRAME) && + get_segdata(seg, segment_id, SEG_LVL_REF_FRAME) != (int)(*ref_frame)) + return true; + + // For screen content: skip mode testing based on source_sad. + if (cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN) { + // If source_sad is computed: skip non-zero motion + // check for stationary (super)blocks. Otherwise if superblock + // has motion skip the modes with zero motion on last reference + // for flat blocks, and color is not set. + // For the latter condition: the same condition should apply + // to newmv if (0, 0), so this latter condition is repeated + // below after search_new_mv. + if (rt_sf->source_metrics_sb_nonrd) { + if ((search_state->frame_mv[*this_mode][*ref_frame].as_int != 0 && + x->content_state_sb.source_sad_nonrd == kZeroSad) || + (search_state->frame_mv[*this_mode][*ref_frame].as_int == 0 && + x->block_is_zero_sad == 0 && *ref_frame == LAST_FRAME && + ((x->color_sensitivity_sb[COLOR_SENS_IDX(AOM_PLANE_U)] == 0 && + x->color_sensitivity_sb[COLOR_SENS_IDX(AOM_PLANE_V)] == 0) || + cpi->rc.high_source_sad) && + x->source_variance == 0)) + return true; + } + // Skip NEWMV search for flat blocks. + if (*this_mode == NEWMV && x->source_variance < 100) return true; + // Skip non-LAST for color on flat blocks. + if (*ref_frame > LAST_FRAME && x->source_variance == 0 && + (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] == 1 || + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] == 1)) + return true; + } + + // Skip mode based on block size, reference frame mode and other block + // properties. + if (skip_mode_by_bsize_and_ref_frame( + *this_mode, *ref_frame, bsize, x->nonrd_prune_ref_frame_search, + sse_zeromv_norm, rt_sf->nonrd_aggressive_skip)) + return true; + + // Skip mode based on low temporal variance and souce sad. + if (skip_mode_by_low_temp(*this_mode, *ref_frame, bsize, x->content_state_sb, + search_state->frame_mv[*this_mode][*ref_frame], + force_skip_low_temp_var)) + return true; + + // Disable this drop out case if the ref frame segment level feature is + // enabled for this segment. This is to prevent the possibility that we + // end up unable to pick any mode. + if (!segfeature_active(seg, segment_id, SEG_LVL_REF_FRAME)) { + // Check for skipping GOLDEN and ALTREF based pred_mv_sad. + if (rt_sf->nonrd_prune_ref_frame_search > 0 && + x->pred_mv_sad[*ref_frame] != INT_MAX && *ref_frame != LAST_FRAME) { + if ((int64_t)(x->pred_mv_sad[*ref_frame]) > *thresh_sad_pred) return true; + } + } + + // Check for skipping NEARMV based on pred_mv_sad. + if (*this_mode == NEARMV && x->pred_mv1_sad[*ref_frame] != INT_MAX && + x->pred_mv1_sad[*ref_frame] > (x->pred_mv0_sad[*ref_frame] << 1)) + return true; + + // Skip single reference mode based on rd threshold. + if (*is_single_pred) { + if (skip_mode_by_threshold( + *this_mode, *ref_frame, + search_state->frame_mv[*this_mode][*ref_frame], + cpi->rc.frames_since_golden, cpi->rd.threshes[segment_id][bsize], + x->thresh_freq_fact[bsize], search_state->best_rdc.rdcost, + search_state->best_pickmode.best_mode_skip_txfm, + (rt_sf->nonrd_aggressive_skip ? 1 : 0))) + return true; + } + return false; +} + +// Function to perform inter mode evaluation for non-rd +static AOM_FORCE_INLINE bool handle_inter_mode_nonrd( + AV1_COMP *cpi, MACROBLOCK *x, InterModeSearchStateNonrd *search_state, + PICK_MODE_CONTEXT *ctx, PRED_BUFFER **this_mode_pred, + PRED_BUFFER *tmp_buffer, InterPredParams inter_pred_params_sr, + int *best_early_term, unsigned int *sse_zeromv_norm, bool *check_globalmv, +#if CONFIG_AV1_TEMPORAL_DENOISING + int64_t *zero_last_cost_orig, int denoise_svc_pickmode, +#endif + int idx, int force_mv_inter_layer, int is_single_pred, int gf_temporal_ref, + int use_model_yrd_large, int filter_search_enabled_blk, BLOCK_SIZE bsize, + PREDICTION_MODE this_mode, InterpFilter filt_select, + int cb_pred_filter_search, int reuse_inter_pred, + int *sb_me_has_been_tested) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mi = xd->mi[0]; + const MB_MODE_INFO_EXT *const mbmi_ext = &x->mbmi_ext; + const int mi_row = xd->mi_row; + const int mi_col = xd->mi_col; + struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; + const int bw = block_size_wide[bsize]; + const InterpFilter filter_ref = cm->features.interp_filter; + const InterpFilter default_interp_filter = EIGHTTAP_REGULAR; + TxfmSearchInfo *txfm_info = &x->txfm_search_info; + const ModeCosts *mode_costs = &x->mode_costs; + const REAL_TIME_SPEED_FEATURES *const rt_sf = &cpi->sf.rt_sf; + BEST_PICKMODE *const best_pickmode = &search_state->best_pickmode; + + MV_REFERENCE_FRAME ref_frame = mi->ref_frame[0]; + MV_REFERENCE_FRAME ref_frame2 = mi->ref_frame[1]; + int_mv *const this_mv = &search_state->frame_mv[this_mode][ref_frame]; + unsigned int var = UINT_MAX; + int this_early_term = 0; + int rate_mv = 0; + int is_skippable; + int skip_this_mv = 0; + unsigned int var_threshold = UINT_MAX; + PREDICTION_MODE this_best_mode; + RD_STATS nonskip_rdc; + av1_invalid_rd_stats(&nonskip_rdc); + + if (x->sb_me_block && this_mode == NEWMV && ref_frame == LAST_FRAME) { + // Set the NEWMV_LAST to the sb MV. + search_state->frame_mv[NEWMV][LAST_FRAME].as_int = x->sb_me_mv.as_int; + } else if (this_mode == NEWMV && !force_mv_inter_layer) { +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_start(&x->ms_stat_nonrd.timer2); +#endif + // Find the best motion vector for single/compound mode. + const bool skip_newmv = search_new_mv( + cpi, x, search_state->frame_mv, ref_frame, gf_temporal_ref, bsize, + mi_row, mi_col, &rate_mv, &search_state->best_rdc); +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_mark(&x->ms_stat_nonrd.timer2); + x->ms_stat_nonrd.ms_time[bsize][this_mode] += + aom_usec_timer_elapsed(&x->ms_stat_nonrd.timer2); +#endif + // Skip NEWMV mode, + // (i). For bsize smaller than 16X16 + // (ii). Based on sad of the predicted mv w.r.t LAST_FRAME + // (iii). When motion vector is same as that of reference mv + if (skip_newmv) { + return true; + } + } + + // Check the current motion vector is same as that of previously evaluated + // motion vectors. + for (PREDICTION_MODE inter_mv_mode = NEARESTMV; inter_mv_mode <= NEWMV; + inter_mv_mode++) { + if (inter_mv_mode == this_mode) continue; + if (is_single_pred && + search_state->mode_checked[inter_mv_mode][ref_frame] && + this_mv->as_int == + search_state->frame_mv[inter_mv_mode][ref_frame].as_int) { + skip_this_mv = 1; + break; + } + } + + // Skip single mode if current motion vector is same that of previously + // evaluated motion vectors. + if (skip_this_mv && is_single_pred) return true; + + // For screen: for spatially flat blocks with non-zero motion, + // skip newmv if the motion vector is (0, 0)-LAST, and color is not set. + if (this_mode == NEWMV && cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN && + cpi->svc.spatial_layer_id == 0 && rt_sf->source_metrics_sb_nonrd) { + if (this_mv->as_int == 0 && ref_frame == LAST_FRAME && + x->block_is_zero_sad == 0 && + ((x->color_sensitivity_sb[COLOR_SENS_IDX(AOM_PLANE_U)] == 0 && + x->color_sensitivity_sb[COLOR_SENS_IDX(AOM_PLANE_V)] == 0) || + cpi->rc.high_source_sad) && + x->source_variance == 0) + return true; + } + + mi->mode = this_mode; + mi->mv[0].as_int = this_mv->as_int; + mi->mv[1].as_int = 0; + if (!is_single_pred) + mi->mv[1].as_int = search_state->frame_mv[this_mode][ref_frame2].as_int; + + // Set buffers to store predicted samples for reuse + if (reuse_inter_pred) { + if (!*this_mode_pred) { + *this_mode_pred = &tmp_buffer[3]; + } else { + *this_mode_pred = &tmp_buffer[get_pred_buffer(tmp_buffer, 3)]; + pd->dst.buf = (*this_mode_pred)->data; + pd->dst.stride = bw; + } + } + + mi->motion_mode = SIMPLE_TRANSLATION; +#if !CONFIG_REALTIME_ONLY + if (cpi->oxcf.motion_mode_cfg.allow_warped_motion) { + calc_num_proj_ref(cpi, x, mi); + } +#endif + // set variance threshold for compound mode pruning + if (rt_sf->prune_compoundmode_with_singlecompound_var && !is_single_pred && + use_model_yrd_large) { + const PREDICTION_MODE single_mode0 = compound_ref0_mode(this_mode); + const PREDICTION_MODE single_mode1 = compound_ref1_mode(this_mode); + var_threshold = + AOMMIN(var_threshold, + search_state->vars[INTER_OFFSET(single_mode0)][ref_frame]); + var_threshold = + AOMMIN(var_threshold, + search_state->vars[INTER_OFFSET(single_mode1)][ref_frame2]); + } + + // decide interpolation filter, build prediction signal, get sse + const bool is_mv_subpel = + (mi->mv[0].as_mv.row & 0x07) || (mi->mv[0].as_mv.col & 0x07); + const bool enable_filt_search_this_mode = + (filter_search_enabled_blk == 2) + ? true + : (filter_search_enabled_blk && !force_mv_inter_layer && + is_single_pred && + (ref_frame == LAST_FRAME || !x->nonrd_prune_ref_frame_search)); + if (is_mv_subpel && enable_filt_search_this_mode) { +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_start(&x->ms_stat_nonrd.timer2); +#endif + search_filter_ref( + cpi, x, &search_state->this_rdc, &inter_pred_params_sr, mi_row, mi_col, + tmp_buffer, bsize, reuse_inter_pred, this_mode_pred, &this_early_term, + &var, use_model_yrd_large, best_pickmode->best_sse, is_single_pred); +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_mark(&x->ms_stat_nonrd.timer2); + x->ms_stat_nonrd.ifs_time[bsize][this_mode] += + aom_usec_timer_elapsed(&x->ms_stat_nonrd.timer2); +#endif +#if !CONFIG_REALTIME_ONLY + } else if (cpi->oxcf.motion_mode_cfg.allow_warped_motion && + this_mode == NEWMV) { + // Find the best motion mode when current mode is NEWMV + search_motion_mode(cpi, x, &search_state->this_rdc, mi_row, mi_col, bsize, + &this_early_term, use_model_yrd_large, &rate_mv, + best_pickmode->best_sse); + if (this_mode == NEWMV) { + this_mv[0] = mi->mv[0]; + } +#endif + } else { + mi->interp_filters = + (filter_ref == SWITCHABLE) + ? av1_broadcast_interp_filter(default_interp_filter) + : av1_broadcast_interp_filter(filter_ref); + if (force_mv_inter_layer) + mi->interp_filters = av1_broadcast_interp_filter(EIGHTTAP_REGULAR); + + // If it is sub-pel motion and cb_pred_filter_search is enabled, select + // the pre-decided filter + if (is_mv_subpel && cb_pred_filter_search) + mi->interp_filters = av1_broadcast_interp_filter(filt_select); + +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_start(&x->ms_stat_nonrd.timer2); +#endif + if (is_single_pred) { + SubpelParams subpel_params; + // Initialize inter mode level params for single reference mode. + init_inter_mode_params(&mi->mv[0].as_mv, &inter_pred_params_sr, + &subpel_params, xd->block_ref_scale_factors[0], + pd->pre->width, pd->pre->height); + av1_enc_build_inter_predictor_y_nonrd(xd, &inter_pred_params_sr, + &subpel_params); + } else { + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_Y, AOM_PLANE_Y); + } + + if (use_model_yrd_large) { + model_skip_for_sb_y_large(cpi, bsize, mi_row, mi_col, x, xd, + &search_state->this_rdc, &this_early_term, 0, + best_pickmode->best_sse, &var, var_threshold); + } else { + model_rd_for_sb_y(cpi, bsize, x, xd, &search_state->this_rdc, &var, 0, + &this_early_term); + } +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_mark(&x->ms_stat_nonrd.timer2); + x->ms_stat_nonrd.model_rd_time[bsize][this_mode] += + aom_usec_timer_elapsed(&x->ms_stat_nonrd.timer2); +#endif + } + + // update variance for single mode + if (is_single_pred) { + search_state->vars[INTER_OFFSET(this_mode)][ref_frame] = var; + if (this_mv->as_int == 0) { + search_state->vars[INTER_OFFSET(GLOBALMV)][ref_frame] = var; + } + } + // prune compound mode based on single mode var threshold + if (!is_single_pred && var > var_threshold) { + if (reuse_inter_pred) free_pred_buffer(*this_mode_pred); + return true; + } + + if (ref_frame == LAST_FRAME && this_mv->as_int == 0) { + *sse_zeromv_norm = (unsigned int)(search_state->this_rdc.sse >> + (b_width_log2_lookup[bsize] + + b_height_log2_lookup[bsize])); + } + + // Perform early termination based on sse. + if (rt_sf->sse_early_term_inter_search && + early_term_inter_search_with_sse(rt_sf->sse_early_term_inter_search, + bsize, search_state->this_rdc.sse, + best_pickmode->best_sse, this_mode)) { + if (reuse_inter_pred) free_pred_buffer(*this_mode_pred); + return true; + } + +#if COLLECT_NONRD_PICK_MODE_STAT + x->ms_stat_nonrd.num_nonskipped_searches[bsize][this_mode]++; +#endif + + const int skip_ctx = av1_get_skip_txfm_context(xd); + const int skip_txfm_cost = mode_costs->skip_txfm_cost[skip_ctx][1]; + const int no_skip_txfm_cost = mode_costs->skip_txfm_cost[skip_ctx][0]; + const int64_t sse_y = search_state->this_rdc.sse; + + if (this_early_term) { + search_state->this_rdc.skip_txfm = 1; + search_state->this_rdc.rate = skip_txfm_cost; + search_state->this_rdc.dist = search_state->this_rdc.sse << 4; + } else { +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_start(&x->ms_stat_nonrd.timer2); +#endif + // Calculates RD Cost using Hadamard transform. + av1_block_yrd(x, &search_state->this_rdc, &is_skippable, bsize, + mi->tx_size); + if (search_state->this_rdc.skip_txfm || + RDCOST(x->rdmult, search_state->this_rdc.rate, + search_state->this_rdc.dist) >= + RDCOST(x->rdmult, 0, search_state->this_rdc.sse)) { + if (!search_state->this_rdc.skip_txfm) { + // Need to store "real" rdc for possible future use if UV rdc + // disallows tx skip + nonskip_rdc = search_state->this_rdc; + nonskip_rdc.rate += no_skip_txfm_cost; + } + search_state->this_rdc.rate = skip_txfm_cost; + search_state->this_rdc.skip_txfm = 1; + search_state->this_rdc.dist = search_state->this_rdc.sse; + } else { + search_state->this_rdc.rate += no_skip_txfm_cost; + } + + // Populate predicted sample for chroma planes based on color sensitivity. + if ((x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] || + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)])) { + RD_STATS rdc_uv; + const BLOCK_SIZE uv_bsize = + get_plane_block_size(bsize, xd->plane[AOM_PLANE_U].subsampling_x, + xd->plane[AOM_PLANE_U].subsampling_y); + if (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)]) { + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_U, AOM_PLANE_U); + } + if (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)]) { + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_V, AOM_PLANE_V); + } + // Compute sse for chroma planes. + const int64_t sse_uv = av1_model_rd_for_sb_uv( + cpi, uv_bsize, x, xd, &rdc_uv, AOM_PLANE_U, AOM_PLANE_V); + if (rdc_uv.dist < x->min_dist_inter_uv) + x->min_dist_inter_uv = rdc_uv.dist; + search_state->this_rdc.sse += sse_uv; + // Restore Y rdc if UV rdc disallows txfm skip + if (search_state->this_rdc.skip_txfm && !rdc_uv.skip_txfm && + nonskip_rdc.rate != INT_MAX) + search_state->this_rdc = nonskip_rdc; + if (is_single_pred) { + search_state->uv_dist[INTER_OFFSET(this_mode)][ref_frame] = rdc_uv.dist; + } + search_state->this_rdc.rate += rdc_uv.rate; + search_state->this_rdc.dist += rdc_uv.dist; + search_state->this_rdc.skip_txfm = + search_state->this_rdc.skip_txfm && rdc_uv.skip_txfm; + } +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_mark(&x->ms_stat_nonrd.timer2); + x->ms_stat_nonrd.txfm_time[bsize][this_mode] += + aom_usec_timer_elapsed(&x->ms_stat_nonrd.timer2); +#endif + } + + this_best_mode = this_mode; + // TODO(kyslov) account for UV prediction cost + search_state->this_rdc.rate += rate_mv; + if (!is_single_pred) { + const int16_t mode_ctx = + av1_mode_context_analyzer(mbmi_ext->mode_context, mi->ref_frame); + search_state->this_rdc.rate += cost_mv_ref(mode_costs, this_mode, mode_ctx); + } else { + // If the current mode has zeromv but is not GLOBALMV, compare the rate + // cost. If GLOBALMV is cheaper, use GLOBALMV instead. + if (this_mode != GLOBALMV && + this_mv->as_int == search_state->frame_mv[GLOBALMV][ref_frame].as_int) { + if (is_globalmv_better(this_mode, ref_frame, rate_mv, mode_costs, + search_state->single_inter_mode_costs, mbmi_ext)) { + this_best_mode = GLOBALMV; + } + } + + search_state->this_rdc.rate += + search_state + ->single_inter_mode_costs[INTER_OFFSET(this_best_mode)][ref_frame]; + } + + if (is_single_pred && this_mv->as_int == 0 && var < UINT_MAX) { + search_state->vars[INTER_OFFSET(GLOBALMV)][ref_frame] = var; + } + + search_state->this_rdc.rate += search_state->ref_costs_single[ref_frame]; + + search_state->this_rdc.rdcost = RDCOST(x->rdmult, search_state->this_rdc.rate, + search_state->this_rdc.dist); + if (cpi->oxcf.rc_cfg.mode == AOM_CBR && is_single_pred) { + newmv_diff_bias(xd, this_best_mode, &search_state->this_rdc, bsize, + search_state->frame_mv[this_best_mode][ref_frame].as_mv.row, + search_state->frame_mv[this_best_mode][ref_frame].as_mv.col, + cpi->speed, x->source_variance, x->content_state_sb); + } + +#if CONFIG_AV1_TEMPORAL_DENOISING + if (cpi->oxcf.noise_sensitivity > 0 && denoise_svc_pickmode && + cpi->denoiser.denoising_level > kDenLowLow) { + av1_denoiser_update_frame_stats(mi, sse_y, this_mode, ctx); + // Keep track of zero_last cost. + if (ref_frame == LAST_FRAME && this_mv->as_int == 0) + *zero_last_cost_orig = search_state->this_rdc.rdcost; + } +#else + (void)(sse_y); +#endif + + search_state->mode_checked[this_mode][ref_frame] = 1; + search_state->mode_checked[this_best_mode][ref_frame] = 1; + + if (*check_globalmv) { + int32_t abs_mv = + abs(search_state->frame_mv[this_best_mode][ref_frame].as_mv.row) + + abs(search_state->frame_mv[this_best_mode][ref_frame].as_mv.col); + // Early exit check: if the magnitude of this_best_mode's mv is small + // enough, we skip GLOBALMV check in the next loop iteration. + if (abs_mv < 2) { + *check_globalmv = false; + } + } +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_mark(&x->ms_stat_nonrd.timer1); + x->ms_stat_nonrd.nonskipped_search_times[bsize][this_mode] += + aom_usec_timer_elapsed(&x->ms_stat_nonrd.timer1); +#endif + + if (x->sb_me_block && ref_frame == LAST_FRAME && + search_state->frame_mv[this_best_mode][ref_frame].as_int == + x->sb_me_mv.as_int) + *sb_me_has_been_tested = 1; + + // Copy best mode params to search state + if (search_state->this_rdc.rdcost < search_state->best_rdc.rdcost) { + search_state->best_rdc = search_state->this_rdc; + *best_early_term = this_early_term; + update_search_state_nonrd(search_state, mi, txfm_info, &nonskip_rdc, ctx, + this_best_mode, sse_y); + + // This is needed for the compound modes. + search_state->frame_mv_best[this_best_mode][ref_frame].as_int = + search_state->frame_mv[this_best_mode][ref_frame].as_int; + if (ref_frame2 > NONE_FRAME) { + search_state->frame_mv_best[this_best_mode][ref_frame2].as_int = + search_state->frame_mv[this_best_mode][ref_frame2].as_int; + } + + if (reuse_inter_pred) { + free_pred_buffer(best_pickmode->best_pred); + best_pickmode->best_pred = *this_mode_pred; + } + } else { + if (reuse_inter_pred) free_pred_buffer(*this_mode_pred); + } + + if (*best_early_term && (idx > 0 || rt_sf->nonrd_aggressive_skip)) { + txfm_info->skip_txfm = 1; + if (!x->sb_me_block || *sb_me_has_been_tested) return false; + } + return true; +} + +// Function to perform screen content mode evaluation for non-rd +static AOM_FORCE_INLINE void handle_screen_content_mode_nonrd( + AV1_COMP *cpi, MACROBLOCK *x, InterModeSearchStateNonrd *search_state, + PRED_BUFFER *this_mode_pred, PICK_MODE_CONTEXT *ctx, + PRED_BUFFER *tmp_buffer, struct buf_2d *orig_dst, int skip_idtx_palette, + int try_palette, BLOCK_SIZE bsize, int reuse_inter_pred, int mi_col, + int mi_row) { + AV1_COMMON *const cm = &cpi->common; + const REAL_TIME_SPEED_FEATURES *const rt_sf = &cpi->sf.rt_sf; + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mi = xd->mi[0]; + struct macroblockd_plane *const pd = &xd->plane[0]; + const int bw = block_size_wide[bsize]; + const int bh = block_size_high[bsize]; + TxfmSearchInfo *txfm_info = &x->txfm_search_info; + BEST_PICKMODE *const best_pickmode = &search_state->best_pickmode; + + // TODO(marpan): Only allow for 8 bit-depth for now, re-enable for 10/12 bit + // when issue 3359 is fixed. + if (cm->seq_params->bit_depth == 8 && + cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN && !skip_idtx_palette && + !cpi->oxcf.txfm_cfg.use_inter_dct_only && !x->force_zeromv_skip_for_blk && + is_inter_mode(best_pickmode->best_mode) && + best_pickmode->best_pred != NULL && + (!rt_sf->prune_idtx_nonrd || + (rt_sf->prune_idtx_nonrd && bsize <= BLOCK_32X32 && + best_pickmode->best_mode_skip_txfm != 1 && x->source_variance > 200))) { + RD_STATS idtx_rdc; + av1_init_rd_stats(&idtx_rdc); + int is_skippable; + this_mode_pred = &tmp_buffer[get_pred_buffer(tmp_buffer, 3)]; + pd->dst.buf = this_mode_pred->data; + pd->dst.stride = bw; + const PRED_BUFFER *const best_pred = best_pickmode->best_pred; + av1_block_yrd_idtx(x, best_pred->data, best_pred->stride, &idtx_rdc, + &is_skippable, bsize, mi->tx_size); + int64_t idx_rdcost_y = RDCOST(x->rdmult, idtx_rdc.rate, idtx_rdc.dist); + int allow_idtx = 1; + // Incorporate color into rd cost. + if ((x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] || + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)])) { + RD_STATS rdc_uv; + const BLOCK_SIZE uv_bsize = + get_plane_block_size(bsize, xd->plane[AOM_PLANE_U].subsampling_x, + xd->plane[AOM_PLANE_U].subsampling_y); + if (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)]) { + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_U, AOM_PLANE_U); + } + if (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)]) { + av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, + AOM_PLANE_V, AOM_PLANE_V); + } + av1_model_rd_for_sb_uv(cpi, uv_bsize, x, xd, &rdc_uv, AOM_PLANE_U, + AOM_PLANE_V); + if (rdc_uv.dist < x->min_dist_inter_uv) + x->min_dist_inter_uv = rdc_uv.dist; + idtx_rdc.rate += rdc_uv.rate; + idtx_rdc.dist += rdc_uv.dist; + idtx_rdc.skip_txfm = idtx_rdc.skip_txfm && rdc_uv.skip_txfm; + if (idx_rdcost_y == 0 && rdc_uv.dist > 0 && x->source_variance < 3000 && + x->content_state_sb.source_sad_nonrd > kMedSad) + allow_idtx = 0; + } + int64_t idx_rdcost = RDCOST(x->rdmult, idtx_rdc.rate, idtx_rdc.dist); + if (allow_idtx && idx_rdcost < search_state->best_rdc.rdcost) { + best_pickmode->tx_type = IDTX; + search_state->best_rdc.rdcost = idx_rdcost; + best_pickmode->best_mode_skip_txfm = idtx_rdc.skip_txfm; + if (!idtx_rdc.skip_txfm) { + memcpy(ctx->blk_skip, txfm_info->blk_skip, + sizeof(txfm_info->blk_skip[0]) * ctx->num_4x4_blk); + } + xd->tx_type_map[0] = best_pickmode->tx_type; + memset(ctx->tx_type_map, best_pickmode->tx_type, ctx->num_4x4_blk); + memset(xd->tx_type_map, best_pickmode->tx_type, ctx->num_4x4_blk); + } + pd->dst = *orig_dst; + } + + if (!try_palette) return; + const unsigned int intra_ref_frame_cost = + search_state->ref_costs_single[INTRA_FRAME]; + + if (!is_mode_intra(best_pickmode->best_mode)) { + PRED_BUFFER *const best_pred = best_pickmode->best_pred; + if (reuse_inter_pred && best_pred != NULL) { + if (best_pred->data == orig_dst->buf) { + this_mode_pred = &tmp_buffer[get_pred_buffer(tmp_buffer, 3)]; + aom_convolve_copy(best_pred->data, best_pred->stride, + this_mode_pred->data, this_mode_pred->stride, bw, bh); + best_pickmode->best_pred = this_mode_pred; + } + } + pd->dst = *orig_dst; + } + // Search palette mode for Luma plane in inter frame. + av1_search_palette_mode_luma(cpi, x, bsize, intra_ref_frame_cost, ctx, + &search_state->this_rdc, + search_state->best_rdc.rdcost); + // Update best mode data in search_state + if (search_state->this_rdc.rdcost < search_state->best_rdc.rdcost) { + best_pickmode->pmi = mi->palette_mode_info; + best_pickmode->best_mode = DC_PRED; + mi->mv[0].as_int = INVALID_MV; + mi->mv[1].as_int = INVALID_MV; + best_pickmode->best_ref_frame = INTRA_FRAME; + best_pickmode->best_second_ref_frame = NONE; + search_state->best_rdc.rate = search_state->this_rdc.rate; + search_state->best_rdc.dist = search_state->this_rdc.dist; + search_state->best_rdc.rdcost = search_state->this_rdc.rdcost; + best_pickmode->best_mode_skip_txfm = search_state->this_rdc.skip_txfm; + // Keep the skip_txfm off if the color_sensitivity is set. + if (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] || + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)]) + search_state->this_rdc.skip_txfm = 0; + if (!search_state->this_rdc.skip_txfm) { + memcpy(ctx->blk_skip, txfm_info->blk_skip, + sizeof(txfm_info->blk_skip[0]) * ctx->num_4x4_blk); + } + if (xd->tx_type_map[0] != DCT_DCT) + av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk); + } +} + +/*!\brief AV1 inter mode selection based on Non-RD optimized model. + * + * \ingroup nonrd_mode_search + * \callgraph + * Top level function for Non-RD optimized inter mode selection. + * This finction will loop over subset of inter modes and select the best one + * based on calculated modelled RD cost. While making decisions which modes to + * check, this function applies heuristics based on previously checked modes, + * block residual variance, block size, and other factors to prune certain + * modes and reference frames. Currently only single reference frame modes + * are checked. Additional heuristics are applied to decide if intra modes + * need to be checked. + * * + * \param[in] cpi Top-level encoder structure + * \param[in] tile_data Pointer to struct holding adaptive + data/contexts/models for the tile during + encoding + * \param[in] x Pointer to structure holding all the data for + the current macroblock + * \param[in] rd_cost Struct to keep track of the RD information + * \param[in] bsize Current block size + * \param[in] ctx Structure to hold snapshot of coding context + during the mode picking process + * + * \remark Nothing is returned. Instead, the MB_MODE_INFO struct inside x + * is modified to store information about the best mode computed + * in this function. The rd_cost struct is also updated with the RD stats + * corresponding to the best mode found. + */ +void av1_nonrd_pick_inter_mode_sb(AV1_COMP *cpi, TileDataEnc *tile_data, + MACROBLOCK *x, RD_STATS *rd_cost, + BLOCK_SIZE bsize, PICK_MODE_CONTEXT *ctx) { + AV1_COMMON *const cm = &cpi->common; + SVC *const svc = &cpi->svc; + MACROBLOCKD *const xd = &x->e_mbd; + MB_MODE_INFO *const mi = xd->mi[0]; + struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; + const MB_MODE_INFO_EXT *const mbmi_ext = &x->mbmi_ext; + MV_REFERENCE_FRAME ref_frame, ref_frame2; + const unsigned char segment_id = mi->segment_id; + int best_early_term = 0; + int force_skip_low_temp_var = 0; + unsigned int sse_zeromv_norm = UINT_MAX; + const int num_inter_modes = NUM_INTER_MODES; + const REAL_TIME_SPEED_FEATURES *const rt_sf = &cpi->sf.rt_sf; + bool check_globalmv = rt_sf->check_globalmv_on_single_ref; + PRED_BUFFER tmp_buffer[4]; + DECLARE_ALIGNED(16, uint8_t, pred_buf[MAX_MB_PLANE * MAX_SB_SQUARE]); + PRED_BUFFER *this_mode_pred = NULL; + const int reuse_inter_pred = + rt_sf->reuse_inter_pred_nonrd && cm->seq_params->bit_depth == AOM_BITS_8; + InterModeSearchStateNonrd search_state; + av1_zero(search_state.use_ref_frame_mask); + av1_zero(search_state.use_scaled_ref_frame); + BEST_PICKMODE *const best_pickmode = &search_state.best_pickmode; + (void)tile_data; + + const int bh = block_size_high[bsize]; + const int bw = block_size_wide[bsize]; + const int pixels_in_block = bh * bw; + struct buf_2d orig_dst = pd->dst; + const TxfmSearchParams *txfm_params = &x->txfm_search_params; + TxfmSearchInfo *txfm_info = &x->txfm_search_info; +#if COLLECT_NONRD_PICK_MODE_STAT + // Mode statistics can be collected only when num_workers is 1 + assert(cpi->mt_info.num_workers <= 1); + aom_usec_timer_start(&x->ms_stat_nonrd.bsize_timer); +#endif + int64_t thresh_sad_pred = INT64_MAX; + const int mi_row = xd->mi_row; + const int mi_col = xd->mi_col; + int_mv svc_mv = { .as_int = 0 }; + int force_mv_inter_layer = 0; + bool comp_use_zero_zeromv_only = 0; + int tot_num_comp_modes = NUM_COMP_INTER_MODES_RT; +#if CONFIG_AV1_TEMPORAL_DENOISING + const int denoise_recheck_zeromv = 1; + AV1_PICKMODE_CTX_DEN ctx_den; + int64_t zero_last_cost_orig = INT64_MAX; + int denoise_svc_pickmode = 1; + const int resize_pending = is_frame_resize_pending(cpi); +#endif + const ModeCosts *mode_costs = &x->mode_costs; + struct scale_factors sf_no_scale; + av1_setup_scale_factors_for_frame(&sf_no_scale, cm->width, cm->height, + cm->width, cm->height); + if (reuse_inter_pred) { + for (int buf_idx = 0; buf_idx < 3; buf_idx++) { + tmp_buffer[buf_idx].data = &pred_buf[pixels_in_block * buf_idx]; + tmp_buffer[buf_idx].stride = bw; + tmp_buffer[buf_idx].in_use = 0; + } + tmp_buffer[3].data = pd->dst.buf; + tmp_buffer[3].stride = pd->dst.stride; + tmp_buffer[3].in_use = 0; + } + + const int gf_temporal_ref = is_same_gf_and_last_scale(cm); + + // If the lower spatial layer uses an averaging filter for downsampling + // (phase = 8), the target decimated pixel is shifted by (1/2, 1/2) relative + // to source, so use subpel motion vector to compensate. The nonzero motion + // is half pixel shifted to left and top, so (-4, -4). This has more effect + // on higher resolutions, so condition it on that for now. + // Exclude quality layers, which have the same resolution and hence no shift. + if (cpi->ppi->use_svc && svc->spatial_layer_id > 0 && + !svc->has_lower_quality_layer && + svc->downsample_filter_phase[svc->spatial_layer_id - 1] == 8 && + cm->width * cm->height > 640 * 480) { + svc_mv.as_mv.row = -4; + svc_mv.as_mv.col = -4; + } + + // Setup parameters used for inter mode evaluation. + set_params_nonrd_pick_inter_mode(cpi, x, &search_state, rd_cost, + &force_skip_low_temp_var, mi_row, mi_col, + gf_temporal_ref, segment_id, bsize +#if CONFIG_AV1_TEMPORAL_DENOISING + , + ctx, denoise_svc_pickmode +#endif + ); + + if (rt_sf->use_comp_ref_nonrd && is_comp_ref_allowed(bsize)) { + // Only search compound if bsize \gt BLOCK_16X16. + if (bsize > BLOCK_16X16) { + comp_use_zero_zeromv_only = rt_sf->check_only_zero_zeromv_on_large_blocks; + } else { + tot_num_comp_modes = 0; + } + } else { + tot_num_comp_modes = 0; + } + + if (x->pred_mv_sad[LAST_FRAME] != INT_MAX) { + thresh_sad_pred = ((int64_t)x->pred_mv_sad[LAST_FRAME]) << 1; + // Increase threshold for less aggressive pruning. + if (rt_sf->nonrd_prune_ref_frame_search == 1) + thresh_sad_pred += (x->pred_mv_sad[LAST_FRAME] >> 2); + } + + const int use_model_yrd_large = get_model_rd_flag(cpi, xd, bsize); + + // decide block-level interp filter search flags: + // filter_search_enabled_blk: + // 0: disabled + // 1: filter search depends on mode properties + // 2: filter search forced since prediction is unreliable + // cb_pred_filter_search 0: disabled cb prediction + InterpFilter filt_select = EIGHTTAP_REGULAR; + const int cb_pred_filter_search = + x->content_state_sb.source_sad_nonrd > kVeryLowSad + ? cpi->sf.interp_sf.cb_pred_filter_search + : 0; + const int filter_search_enabled_blk = + is_filter_search_enabled_blk(cpi, x, mi_row, mi_col, bsize, segment_id, + cb_pred_filter_search, &filt_select); + +#if COLLECT_NONRD_PICK_MODE_STAT + x->ms_stat_nonrd.num_blocks[bsize]++; +#endif + init_mbmi_nonrd(mi, DC_PRED, NONE_FRAME, NONE_FRAME, cm); + mi->tx_size = AOMMIN( + AOMMIN(max_txsize_lookup[bsize], + tx_mode_to_biggest_tx_size[txfm_params->tx_mode_search_type]), + TX_16X16); + + fill_single_inter_mode_costs(search_state.single_inter_mode_costs, + num_inter_modes, ref_mode_set, mode_costs, + mbmi_ext->mode_context); + + MV_REFERENCE_FRAME last_comp_ref_frame = NONE_FRAME; + + // Initialize inter prediction params at block level for single reference + // mode. + InterPredParams inter_pred_params_sr; + init_inter_block_params(&inter_pred_params_sr, pd->width, pd->height, + mi_row * MI_SIZE, mi_col * MI_SIZE, pd->subsampling_x, + pd->subsampling_y, xd->bd, is_cur_buf_hbd(xd), + /*is_intrabc=*/0); + inter_pred_params_sr.conv_params = + get_conv_params(/*do_average=*/0, AOM_PLANE_Y, xd->bd); + + x->block_is_zero_sad = x->content_state_sb.source_sad_nonrd == kZeroSad; + if (cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN && + !x->force_zeromv_skip_for_blk && + x->content_state_sb.source_sad_nonrd != kZeroSad && + x->source_variance == 0 && bsize < cm->seq_params->sb_size && + search_state.yv12_mb[LAST_FRAME][0].width == cm->width && + search_state.yv12_mb[LAST_FRAME][0].height == cm->height) { + set_block_source_sad(cpi, x, bsize, &search_state.yv12_mb[LAST_FRAME][0]); + } + + int sb_me_has_been_tested = 0; + x->sb_me_block = x->sb_me_partition; + // Only use this feature (force testing of superblock motion) if coding + // block size is large. + if (x->sb_me_block) { + if (cm->seq_params->sb_size == BLOCK_128X128 && bsize < BLOCK_64X64) + x->sb_me_block = 0; + else if (cm->seq_params->sb_size == BLOCK_64X64 && bsize < BLOCK_32X32) + x->sb_me_block = 0; + } + + x->min_dist_inter_uv = INT64_MAX; + for (int idx = 0; idx < num_inter_modes + tot_num_comp_modes; ++idx) { + // If we are at the first compound mode, and the single modes already + // perform well, then end the search. + if (rt_sf->skip_compound_based_on_var && idx == num_inter_modes && + skip_comp_based_on_var(search_state.vars, bsize)) { + break; + } + + int is_single_pred = 1; + PREDICTION_MODE this_mode; + + if (idx == 0 && !x->force_zeromv_skip_for_blk) { + // Set color sensitivity on first tested mode only. + // Use y-sad already computed in find_predictors: take the sad with motion + // vector closest to 0; the uv-sad computed below in set_color_sensitivity + // is for zeromv. + // For screen: first check if golden reference is being used, if so, + // force color_sensitivity on (=1) if the color sensitivity for sb_g is 1. + // The check in set_color_sensitivity() will then follow and check for + // setting the flag if the level is still 2 or 0. + if (cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN && + search_state.use_ref_frame_mask[GOLDEN_FRAME]) { + if (x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_U)] == 1) + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] = 1; + if (x->color_sensitivity_sb_g[COLOR_SENS_IDX(AOM_PLANE_V)] == 1) + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)] = 1; + } + if (search_state.use_ref_frame_mask[LAST_FRAME] && + x->pred_mv0_sad[LAST_FRAME] != INT_MAX) { + int y_sad = x->pred_mv0_sad[LAST_FRAME]; + if (x->pred_mv1_sad[LAST_FRAME] != INT_MAX && + (abs(search_state.frame_mv[NEARMV][LAST_FRAME].as_mv.col) + + abs(search_state.frame_mv[NEARMV][LAST_FRAME].as_mv.row)) < + (abs(search_state.frame_mv[NEARESTMV][LAST_FRAME].as_mv.col) + + abs(search_state.frame_mv[NEARESTMV][LAST_FRAME].as_mv.row))) + y_sad = x->pred_mv1_sad[LAST_FRAME]; + set_color_sensitivity(cpi, x, bsize, y_sad, x->source_variance, + search_state.yv12_mb[LAST_FRAME]); + } + } + + // Check the inter mode can be skipped based on mode statistics and speed + // features settings. + if (skip_inter_mode_nonrd(cpi, x, &search_state, &thresh_sad_pred, + &force_mv_inter_layer, &is_single_pred, + &this_mode, &last_comp_ref_frame, &ref_frame, + &ref_frame2, idx, svc_mv, force_skip_low_temp_var, + sse_zeromv_norm, num_inter_modes, segment_id, + bsize, comp_use_zero_zeromv_only, check_globalmv)) + continue; + + // Select prediction reference frames. + for (int plane = 0; plane < MAX_MB_PLANE; plane++) { + xd->plane[plane].pre[0] = search_state.yv12_mb[ref_frame][plane]; + if (!is_single_pred) + xd->plane[plane].pre[1] = search_state.yv12_mb[ref_frame2][plane]; + } + + mi->ref_frame[0] = ref_frame; + mi->ref_frame[1] = ref_frame2; + set_ref_ptrs(cm, xd, ref_frame, ref_frame2); + + // Check if the scaled reference frame should be used. This is set in the + // find_predictors() for each usable reference. If so, set the + // block_ref_scale_factors[] to no reference scaling. + if (search_state.use_scaled_ref_frame[ref_frame]) { + xd->block_ref_scale_factors[0] = &sf_no_scale; + } + if (!is_single_pred && search_state.use_scaled_ref_frame[ref_frame2]) { + xd->block_ref_scale_factors[1] = &sf_no_scale; + } + + // Perform inter mode evaluation for non-rd + if (!handle_inter_mode_nonrd( + cpi, x, &search_state, ctx, &this_mode_pred, tmp_buffer, + inter_pred_params_sr, &best_early_term, &sse_zeromv_norm, + &check_globalmv, +#if CONFIG_AV1_TEMPORAL_DENOISING + &zero_last_cost_orig, denoise_svc_pickmode, +#endif + idx, force_mv_inter_layer, is_single_pred, gf_temporal_ref, + use_model_yrd_large, filter_search_enabled_blk, bsize, this_mode, + filt_select, cb_pred_filter_search, reuse_inter_pred, + &sb_me_has_been_tested)) { + break; + } + } + + // Restore mode data of best inter mode + mi->mode = best_pickmode->best_mode; + mi->motion_mode = best_pickmode->best_motion_mode; + mi->wm_params = best_pickmode->wm_params; + mi->num_proj_ref = best_pickmode->num_proj_ref; + mi->interp_filters = best_pickmode->best_pred_filter; + mi->tx_size = best_pickmode->best_tx_size; + memset(mi->inter_tx_size, mi->tx_size, sizeof(mi->inter_tx_size)); + mi->ref_frame[0] = best_pickmode->best_ref_frame; + mi->mv[0].as_int = search_state + .frame_mv_best[best_pickmode->best_mode] + [best_pickmode->best_ref_frame] + .as_int; + mi->mv[1].as_int = 0; + if (best_pickmode->best_second_ref_frame > INTRA_FRAME) { + mi->ref_frame[1] = best_pickmode->best_second_ref_frame; + mi->mv[1].as_int = search_state + .frame_mv_best[best_pickmode->best_mode] + [best_pickmode->best_second_ref_frame] + .as_int; + } + // Perform intra prediction search, if the best SAD is above a certain + // threshold. + mi->angle_delta[PLANE_TYPE_Y] = 0; + mi->angle_delta[PLANE_TYPE_UV] = 0; + mi->filter_intra_mode_info.use_filter_intra = 0; + +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_start(&x->ms_stat_nonrd.timer1); + x->ms_stat_nonrd.num_searches[bsize][DC_PRED]++; + x->ms_stat_nonrd.num_nonskipped_searches[bsize][DC_PRED]++; +#endif + + int force_palette_test = 0; + if (cpi->oxcf.tune_cfg.content == AOM_CONTENT_SCREEN && + x->content_state_sb.source_sad_nonrd != kZeroSad && + bsize <= BLOCK_16X16) { + unsigned int thresh_sse = cpi->rc.high_source_sad ? 15000 : 200000; + unsigned int thresh_source_var = cpi->rc.high_source_sad ? 50 : 200; + unsigned int best_sse_inter_motion = + (unsigned int)(search_state.best_rdc.sse >> + (b_width_log2_lookup[bsize] + + b_height_log2_lookup[bsize])); + if (best_sse_inter_motion > thresh_sse && + x->source_variance > thresh_source_var) + force_palette_test = 1; + } + + // Evaluate Intra modes in inter frame + if (!x->force_zeromv_skip_for_blk) + av1_estimate_intra_mode(cpi, x, bsize, best_early_term, + search_state.ref_costs_single[INTRA_FRAME], + reuse_inter_pred, &orig_dst, tmp_buffer, + &this_mode_pred, &search_state.best_rdc, + best_pickmode, ctx); + + int skip_idtx_palette = (x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_U)] || + x->color_sensitivity[COLOR_SENS_IDX(AOM_PLANE_V)]) && + x->content_state_sb.source_sad_nonrd != kZeroSad && + !cpi->rc.high_source_sad; + + int try_palette = + !skip_idtx_palette && cpi->oxcf.tool_cfg.enable_palette && + av1_allow_palette(cpi->common.features.allow_screen_content_tools, + mi->bsize); + try_palette = + try_palette && + (is_mode_intra(best_pickmode->best_mode) || force_palette_test) && + x->source_variance > 0 && !x->force_zeromv_skip_for_blk && + (cpi->rc.high_source_sad || x->source_variance > 300); + + if (rt_sf->prune_palette_nonrd && bsize > BLOCK_16X16) try_palette = 0; + + // Perform screen content mode evaluation for non-rd + handle_screen_content_mode_nonrd( + cpi, x, &search_state, this_mode_pred, ctx, tmp_buffer, &orig_dst, + skip_idtx_palette, try_palette, bsize, reuse_inter_pred, mi_col, mi_row); + +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_mark(&x->ms_stat_nonrd.timer1); + x->ms_stat_nonrd.nonskipped_search_times[bsize][DC_PRED] += + aom_usec_timer_elapsed(&x->ms_stat_nonrd.timer1); +#endif + + pd->dst = orig_dst; + // Best mode is finalized. Restore the mode data to mbmi + if (try_palette) mi->palette_mode_info = best_pickmode->pmi; + mi->mode = best_pickmode->best_mode; + mi->ref_frame[0] = best_pickmode->best_ref_frame; + mi->ref_frame[1] = best_pickmode->best_second_ref_frame; + // For lossless: always force the skip flags off. + if (is_lossless_requested(&cpi->oxcf.rc_cfg)) { + txfm_info->skip_txfm = 0; + memset(ctx->blk_skip, 0, sizeof(ctx->blk_skip[0]) * ctx->num_4x4_blk); + } else { + txfm_info->skip_txfm = best_pickmode->best_mode_skip_txfm; + } + if (has_second_ref(mi)) { + mi->comp_group_idx = 0; + mi->compound_idx = 1; + mi->interinter_comp.type = COMPOUND_AVERAGE; + } + + if (!is_inter_block(mi)) { + mi->interp_filters = av1_broadcast_interp_filter(SWITCHABLE_FILTERS); + } else { + // If inter mode is selected and ref_frame was one that uses the + // scaled reference frame, then we can't use reuse_inter_pred. + if (search_state.use_scaled_ref_frame[best_pickmode->best_ref_frame] || + (has_second_ref(mi) && + search_state + .use_scaled_ref_frame[best_pickmode->best_second_ref_frame])) + x->reuse_inter_pred = 0; + } + + // Restore the predicted samples of best mode to final buffer + if (reuse_inter_pred && best_pickmode->best_pred != NULL) { + PRED_BUFFER *const best_pred = best_pickmode->best_pred; + if (best_pred->data != orig_dst.buf && is_inter_mode(mi->mode)) { + aom_convolve_copy(best_pred->data, best_pred->stride, pd->dst.buf, + pd->dst.stride, bw, bh); + } + } + +#if CONFIG_AV1_TEMPORAL_DENOISING + if (cpi->oxcf.noise_sensitivity > 0 && resize_pending == 0 && + denoise_svc_pickmode && cpi->denoiser.denoising_level > kDenLowLow && + cpi->denoiser.reset == 0) { + AV1_DENOISER_DECISION decision = COPY_BLOCK; + ctx->sb_skip_denoising = 0; + av1_pickmode_ctx_den_update( + &ctx_den, zero_last_cost_orig, search_state.ref_costs_single, + search_state.frame_mv, reuse_inter_pred, best_pickmode); + av1_denoiser_denoise(cpi, x, mi_row, mi_col, bsize, ctx, &decision, + gf_temporal_ref); + if (denoise_recheck_zeromv) + recheck_zeromv_after_denoising( + cpi, mi, x, xd, decision, &ctx_den, search_state.yv12_mb, + &search_state.best_rdc, best_pickmode, bsize, mi_row, mi_col); + best_pickmode->best_ref_frame = ctx_den.best_ref_frame; + } +#endif + + // Update the factors used for RD thresholding for all modes. + if (cpi->sf.inter_sf.adaptive_rd_thresh && !has_second_ref(mi)) { + THR_MODES best_mode_idx = + mode_idx[best_pickmode->best_ref_frame][mode_offset(mi->mode)]; + if (best_pickmode->best_ref_frame == INTRA_FRAME) { + // Only consider the modes that are included in the intra_mode_list. + int intra_modes = sizeof(intra_mode_list) / sizeof(PREDICTION_MODE); + for (int mode_index = 0; mode_index < intra_modes; mode_index++) { + update_thresh_freq_fact(cpi, x, bsize, INTRA_FRAME, best_mode_idx, + intra_mode_list[mode_index]); + } + } else { + PREDICTION_MODE this_mode; + for (this_mode = NEARESTMV; this_mode <= NEWMV; ++this_mode) { + update_thresh_freq_fact(cpi, x, bsize, best_pickmode->best_ref_frame, + best_mode_idx, this_mode); + } + } + } + +#if CONFIG_INTERNAL_STATS + store_coding_context_nonrd(x, ctx, mi->mode); +#else + store_coding_context_nonrd(x, ctx); +#endif // CONFIG_INTERNAL_STATS + +#if COLLECT_NONRD_PICK_MODE_STAT + aom_usec_timer_mark(&x->ms_stat_nonrd.bsize_timer); + x->ms_stat_nonrd.total_block_times[bsize] += + aom_usec_timer_elapsed(&x->ms_stat_nonrd.bsize_timer); + print_time(&x->ms_stat_nonrd, bsize, cm->mi_params.mi_rows, + cm->mi_params.mi_cols, mi_row, mi_col); +#endif // COLLECT_NONRD_PICK_MODE_STAT + + *rd_cost = search_state.best_rdc; + + // Reset the xd->block_ref_scale_factors[i], as they may have + // been set to pointer &sf_no_scale, which becomes invalid afer + // this function. + set_ref_ptrs(cm, xd, mi->ref_frame[0], mi->ref_frame[1]); +} |