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author | Moonchild <mcwerewolf@gmail.com> | 2018-10-24 05:58:24 +0200 |
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committer | GitHub <noreply@github.com> | 2018-10-24 05:58:24 +0200 |
commit | d1a35c3fa6a59f622becc328bf00eff98732dc53 (patch) | |
tree | 6792772d3cb4e22e4bac907376ba17d3030bd008 /third_party/aom/av1/encoder/rd.c | |
parent | 81acc4099a515cc1b74ec2b0669aa85fe078aabc (diff) | |
parent | 192199b03fa2e56d2728b0de1dbe4bedfc1edc50 (diff) | |
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Merge pull request #850 from trav90/add-av1-support
Add initial support for AV1 video.
Diffstat (limited to 'third_party/aom/av1/encoder/rd.c')
-rw-r--r-- | third_party/aom/av1/encoder/rd.c | 1512 |
1 files changed, 1512 insertions, 0 deletions
diff --git a/third_party/aom/av1/encoder/rd.c b/third_party/aom/av1/encoder/rd.c new file mode 100644 index 000000000..b87d89e50 --- /dev/null +++ b/third_party/aom/av1/encoder/rd.c @@ -0,0 +1,1512 @@ +/* + * 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 <math.h> +#include <stdio.h> + +#include "config/av1_rtcd.h" + +#include "aom_dsp/aom_dsp_common.h" +#include "aom_mem/aom_mem.h" +#include "aom_ports/bitops.h" +#include "aom_ports/mem.h" +#include "aom_ports/system_state.h" + +#include "av1/common/common.h" +#include "av1/common/entropy.h" +#include "av1/common/entropymode.h" +#include "av1/common/mvref_common.h" +#include "av1/common/pred_common.h" +#include "av1/common/quant_common.h" +#include "av1/common/reconinter.h" +#include "av1/common/reconintra.h" +#include "av1/common/seg_common.h" + +#include "av1/encoder/av1_quantize.h" +#include "av1/encoder/cost.h" +#include "av1/encoder/encodemb.h" +#include "av1/encoder/encodemv.h" +#include "av1/encoder/encoder.h" +#include "av1/encoder/encodetxb.h" +#include "av1/encoder/mcomp.h" +#include "av1/encoder/ratectrl.h" +#include "av1/encoder/rd.h" +#include "av1/encoder/tokenize.h" + +#define RD_THRESH_POW 1.25 + +// The baseline rd thresholds for breaking out of the rd loop for +// certain modes are assumed to be based on 8x8 blocks. +// This table is used to correct for block size. +// The factors here are << 2 (2 = x0.5, 32 = x8 etc). +static const uint8_t rd_thresh_block_size_factor[BLOCK_SIZES_ALL] = { + 2, 3, 3, 4, 6, 6, 8, 12, 12, 16, 24, 24, 32, 48, 48, 64, 4, 4, 8, 8, 16, 16 +}; + +static const int use_intra_ext_tx_for_txsize[EXT_TX_SETS_INTRA][EXT_TX_SIZES] = + { + { 1, 1, 1, 1 }, // unused + { 1, 1, 0, 0 }, + { 0, 0, 1, 0 }, + }; + +static const int use_inter_ext_tx_for_txsize[EXT_TX_SETS_INTER][EXT_TX_SIZES] = + { + { 1, 1, 1, 1 }, // unused + { 1, 1, 0, 0 }, + { 0, 0, 1, 0 }, + { 0, 0, 0, 1 }, + }; + +static const int av1_ext_tx_set_idx_to_type[2][AOMMAX(EXT_TX_SETS_INTRA, + EXT_TX_SETS_INTER)] = { + { + // Intra + EXT_TX_SET_DCTONLY, + EXT_TX_SET_DTT4_IDTX_1DDCT, + EXT_TX_SET_DTT4_IDTX, + }, + { + // Inter + EXT_TX_SET_DCTONLY, + EXT_TX_SET_ALL16, + EXT_TX_SET_DTT9_IDTX_1DDCT, + EXT_TX_SET_DCT_IDTX, + }, +}; + +void av1_fill_mode_rates(AV1_COMMON *const cm, MACROBLOCK *x, + FRAME_CONTEXT *fc) { + int i, j; + + for (i = 0; i < PARTITION_CONTEXTS; ++i) + av1_cost_tokens_from_cdf(x->partition_cost[i], fc->partition_cdf[i], NULL); + + if (cm->skip_mode_flag) { + for (i = 0; i < SKIP_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->skip_mode_cost[i], fc->skip_mode_cdfs[i], + NULL); + } + } + + for (i = 0; i < SKIP_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->skip_cost[i], fc->skip_cdfs[i], NULL); + } + + for (i = 0; i < KF_MODE_CONTEXTS; ++i) + for (j = 0; j < KF_MODE_CONTEXTS; ++j) + av1_cost_tokens_from_cdf(x->y_mode_costs[i][j], fc->kf_y_cdf[i][j], NULL); + + for (i = 0; i < BLOCK_SIZE_GROUPS; ++i) + av1_cost_tokens_from_cdf(x->mbmode_cost[i], fc->y_mode_cdf[i], NULL); + for (i = 0; i < CFL_ALLOWED_TYPES; ++i) + for (j = 0; j < INTRA_MODES; ++j) + av1_cost_tokens_from_cdf(x->intra_uv_mode_cost[i][j], + fc->uv_mode_cdf[i][j], NULL); + + av1_cost_tokens_from_cdf(x->filter_intra_mode_cost, fc->filter_intra_mode_cdf, + NULL); + for (i = 0; i < BLOCK_SIZES_ALL; ++i) { + if (av1_filter_intra_allowed_bsize(cm, i)) + av1_cost_tokens_from_cdf(x->filter_intra_cost[i], + fc->filter_intra_cdfs[i], NULL); + } + + for (i = 0; i < SWITCHABLE_FILTER_CONTEXTS; ++i) + av1_cost_tokens_from_cdf(x->switchable_interp_costs[i], + fc->switchable_interp_cdf[i], NULL); + + for (i = 0; i < PALATTE_BSIZE_CTXS; ++i) { + av1_cost_tokens_from_cdf(x->palette_y_size_cost[i], + fc->palette_y_size_cdf[i], NULL); + av1_cost_tokens_from_cdf(x->palette_uv_size_cost[i], + fc->palette_uv_size_cdf[i], NULL); + for (j = 0; j < PALETTE_Y_MODE_CONTEXTS; ++j) { + av1_cost_tokens_from_cdf(x->palette_y_mode_cost[i][j], + fc->palette_y_mode_cdf[i][j], NULL); + } + } + + for (i = 0; i < PALETTE_UV_MODE_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->palette_uv_mode_cost[i], + fc->palette_uv_mode_cdf[i], NULL); + } + + for (i = 0; i < PALETTE_SIZES; ++i) { + for (j = 0; j < PALETTE_COLOR_INDEX_CONTEXTS; ++j) { + av1_cost_tokens_from_cdf(x->palette_y_color_cost[i][j], + fc->palette_y_color_index_cdf[i][j], NULL); + av1_cost_tokens_from_cdf(x->palette_uv_color_cost[i][j], + fc->palette_uv_color_index_cdf[i][j], NULL); + } + } + + int sign_cost[CFL_JOINT_SIGNS]; + av1_cost_tokens_from_cdf(sign_cost, fc->cfl_sign_cdf, NULL); + for (int joint_sign = 0; joint_sign < CFL_JOINT_SIGNS; joint_sign++) { + int *cost_u = x->cfl_cost[joint_sign][CFL_PRED_U]; + int *cost_v = x->cfl_cost[joint_sign][CFL_PRED_V]; + if (CFL_SIGN_U(joint_sign) == CFL_SIGN_ZERO) { + memset(cost_u, 0, CFL_ALPHABET_SIZE * sizeof(*cost_u)); + } else { + const aom_cdf_prob *cdf_u = fc->cfl_alpha_cdf[CFL_CONTEXT_U(joint_sign)]; + av1_cost_tokens_from_cdf(cost_u, cdf_u, NULL); + } + if (CFL_SIGN_V(joint_sign) == CFL_SIGN_ZERO) { + memset(cost_v, 0, CFL_ALPHABET_SIZE * sizeof(*cost_v)); + } else { + const aom_cdf_prob *cdf_v = fc->cfl_alpha_cdf[CFL_CONTEXT_V(joint_sign)]; + av1_cost_tokens_from_cdf(cost_v, cdf_v, NULL); + } + for (int u = 0; u < CFL_ALPHABET_SIZE; u++) + cost_u[u] += sign_cost[joint_sign]; + } + + for (i = 0; i < MAX_TX_CATS; ++i) + for (j = 0; j < TX_SIZE_CONTEXTS; ++j) + av1_cost_tokens_from_cdf(x->tx_size_cost[i][j], fc->tx_size_cdf[i][j], + NULL); + + for (i = 0; i < TXFM_PARTITION_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->txfm_partition_cost[i], + fc->txfm_partition_cdf[i], NULL); + } + + for (i = TX_4X4; i < EXT_TX_SIZES; ++i) { + int s; + for (s = 1; s < EXT_TX_SETS_INTER; ++s) { + if (use_inter_ext_tx_for_txsize[s][i]) { + av1_cost_tokens_from_cdf( + x->inter_tx_type_costs[s][i], fc->inter_ext_tx_cdf[s][i], + av1_ext_tx_inv[av1_ext_tx_set_idx_to_type[1][s]]); + } + } + for (s = 1; s < EXT_TX_SETS_INTRA; ++s) { + if (use_intra_ext_tx_for_txsize[s][i]) { + for (j = 0; j < INTRA_MODES; ++j) { + av1_cost_tokens_from_cdf( + x->intra_tx_type_costs[s][i][j], fc->intra_ext_tx_cdf[s][i][j], + av1_ext_tx_inv[av1_ext_tx_set_idx_to_type[0][s]]); + } + } + } + } + for (i = 0; i < DIRECTIONAL_MODES; ++i) { + av1_cost_tokens_from_cdf(x->angle_delta_cost[i], fc->angle_delta_cdf[i], + NULL); + } + av1_cost_tokens_from_cdf(x->switchable_restore_cost, + fc->switchable_restore_cdf, NULL); + av1_cost_tokens_from_cdf(x->wiener_restore_cost, fc->wiener_restore_cdf, + NULL); + av1_cost_tokens_from_cdf(x->sgrproj_restore_cost, fc->sgrproj_restore_cdf, + NULL); + av1_cost_tokens_from_cdf(x->intrabc_cost, fc->intrabc_cdf, NULL); + + if (!frame_is_intra_only(cm)) { + for (i = 0; i < COMP_INTER_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->comp_inter_cost[i], fc->comp_inter_cdf[i], + NULL); + } + + for (i = 0; i < REF_CONTEXTS; ++i) { + for (j = 0; j < SINGLE_REFS - 1; ++j) { + av1_cost_tokens_from_cdf(x->single_ref_cost[i][j], + fc->single_ref_cdf[i][j], NULL); + } + } + + for (i = 0; i < COMP_REF_TYPE_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->comp_ref_type_cost[i], + fc->comp_ref_type_cdf[i], NULL); + } + + for (i = 0; i < UNI_COMP_REF_CONTEXTS; ++i) { + for (j = 0; j < UNIDIR_COMP_REFS - 1; ++j) { + av1_cost_tokens_from_cdf(x->uni_comp_ref_cost[i][j], + fc->uni_comp_ref_cdf[i][j], NULL); + } + } + + for (i = 0; i < REF_CONTEXTS; ++i) { + for (j = 0; j < FWD_REFS - 1; ++j) { + av1_cost_tokens_from_cdf(x->comp_ref_cost[i][j], fc->comp_ref_cdf[i][j], + NULL); + } + } + + for (i = 0; i < REF_CONTEXTS; ++i) { + for (j = 0; j < BWD_REFS - 1; ++j) { + av1_cost_tokens_from_cdf(x->comp_bwdref_cost[i][j], + fc->comp_bwdref_cdf[i][j], NULL); + } + } + + for (i = 0; i < INTRA_INTER_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->intra_inter_cost[i], fc->intra_inter_cdf[i], + NULL); + } + + for (i = 0; i < NEWMV_MODE_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->newmv_mode_cost[i], fc->newmv_cdf[i], NULL); + } + + for (i = 0; i < GLOBALMV_MODE_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->zeromv_mode_cost[i], fc->zeromv_cdf[i], NULL); + } + + for (i = 0; i < REFMV_MODE_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->refmv_mode_cost[i], fc->refmv_cdf[i], NULL); + } + + for (i = 0; i < DRL_MODE_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->drl_mode_cost0[i], fc->drl_cdf[i], NULL); + } + for (i = 0; i < INTER_MODE_CONTEXTS; ++i) + av1_cost_tokens_from_cdf(x->inter_compound_mode_cost[i], + fc->inter_compound_mode_cdf[i], NULL); + for (i = 0; i < BLOCK_SIZES_ALL; ++i) + av1_cost_tokens_from_cdf(x->compound_type_cost[i], + fc->compound_type_cdf[i], NULL); + for (i = 0; i < BLOCK_SIZES_ALL; ++i) { + if (get_interinter_wedge_bits(i)) { + av1_cost_tokens_from_cdf(x->wedge_idx_cost[i], fc->wedge_idx_cdf[i], + NULL); + } + } + for (i = 0; i < BLOCK_SIZE_GROUPS; ++i) { + av1_cost_tokens_from_cdf(x->interintra_cost[i], fc->interintra_cdf[i], + NULL); + av1_cost_tokens_from_cdf(x->interintra_mode_cost[i], + fc->interintra_mode_cdf[i], NULL); + } + for (i = 0; i < BLOCK_SIZES_ALL; ++i) { + av1_cost_tokens_from_cdf(x->wedge_interintra_cost[i], + fc->wedge_interintra_cdf[i], NULL); + } + for (i = BLOCK_8X8; i < BLOCK_SIZES_ALL; i++) { + av1_cost_tokens_from_cdf(x->motion_mode_cost[i], fc->motion_mode_cdf[i], + NULL); + } + for (i = BLOCK_8X8; i < BLOCK_SIZES_ALL; i++) { + av1_cost_tokens_from_cdf(x->motion_mode_cost1[i], fc->obmc_cdf[i], NULL); + } + for (i = 0; i < COMP_INDEX_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->comp_idx_cost[i], fc->compound_index_cdf[i], + NULL); + } + for (i = 0; i < COMP_GROUP_IDX_CONTEXTS; ++i) { + av1_cost_tokens_from_cdf(x->comp_group_idx_cost[i], + fc->comp_group_idx_cdf[i], NULL); + } + } +} + +// Values are now correlated to quantizer. +static int sad_per_bit16lut_8[QINDEX_RANGE]; +static int sad_per_bit4lut_8[QINDEX_RANGE]; +static int sad_per_bit16lut_10[QINDEX_RANGE]; +static int sad_per_bit4lut_10[QINDEX_RANGE]; +static int sad_per_bit16lut_12[QINDEX_RANGE]; +static int sad_per_bit4lut_12[QINDEX_RANGE]; + +static void init_me_luts_bd(int *bit16lut, int *bit4lut, int range, + aom_bit_depth_t bit_depth) { + int i; + // Initialize the sad lut tables using a formulaic calculation for now. + // This is to make it easier to resolve the impact of experimental changes + // to the quantizer tables. + for (i = 0; i < range; i++) { + const double q = av1_convert_qindex_to_q(i, bit_depth); + bit16lut[i] = (int)(0.0418 * q + 2.4107); + bit4lut[i] = (int)(0.063 * q + 2.742); + } +} + +void av1_init_me_luts(void) { + init_me_luts_bd(sad_per_bit16lut_8, sad_per_bit4lut_8, QINDEX_RANGE, + AOM_BITS_8); + init_me_luts_bd(sad_per_bit16lut_10, sad_per_bit4lut_10, QINDEX_RANGE, + AOM_BITS_10); + init_me_luts_bd(sad_per_bit16lut_12, sad_per_bit4lut_12, QINDEX_RANGE, + AOM_BITS_12); +} + +static const int rd_boost_factor[16] = { 64, 32, 32, 32, 24, 16, 12, 12, + 8, 8, 4, 4, 2, 2, 1, 0 }; +static const int rd_frame_type_factor[FRAME_UPDATE_TYPES] = { + 128, 144, 128, 128, 144, + // TODO(zoeliu): To adjust further following factor values. + 128, 128, 128, + // TODO(weitinglin): We should investigate if the values should be the same + // as the value used by OVERLAY frame + 144, // INTNL_OVERLAY_UPDATE + 128 // INTNL_ARF_UPDATE +}; + +int av1_compute_rd_mult(const AV1_COMP *cpi, int qindex) { + const int64_t q = + av1_dc_quant_Q3(qindex, 0, cpi->common.seq_params.bit_depth); + int64_t rdmult = 0; + switch (cpi->common.seq_params.bit_depth) { + case AOM_BITS_8: rdmult = 88 * q * q / 24; break; + case AOM_BITS_10: rdmult = ROUND_POWER_OF_TWO(88 * q * q / 24, 4); break; + case AOM_BITS_12: rdmult = ROUND_POWER_OF_TWO(88 * q * q / 24, 8); break; + default: + assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12"); + return -1; + } + if (cpi->oxcf.pass == 2 && (cpi->common.frame_type != KEY_FRAME)) { + const GF_GROUP *const gf_group = &cpi->twopass.gf_group; + const FRAME_UPDATE_TYPE frame_type = gf_group->update_type[gf_group->index]; + const int boost_index = AOMMIN(15, (cpi->rc.gfu_boost / 100)); + + rdmult = (rdmult * rd_frame_type_factor[frame_type]) >> 7; + rdmult += ((rdmult * rd_boost_factor[boost_index]) >> 7); + } + if (rdmult < 1) rdmult = 1; + return (int)rdmult; +} + +static int compute_rd_thresh_factor(int qindex, aom_bit_depth_t bit_depth) { + double q; + switch (bit_depth) { + case AOM_BITS_8: q = av1_dc_quant_Q3(qindex, 0, AOM_BITS_8) / 4.0; break; + case AOM_BITS_10: q = av1_dc_quant_Q3(qindex, 0, AOM_BITS_10) / 16.0; break; + case AOM_BITS_12: q = av1_dc_quant_Q3(qindex, 0, AOM_BITS_12) / 64.0; break; + default: + assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12"); + return -1; + } + // TODO(debargha): Adjust the function below. + return AOMMAX((int)(pow(q, RD_THRESH_POW) * 5.12), 8); +} + +void av1_initialize_me_consts(const AV1_COMP *cpi, MACROBLOCK *x, int qindex) { + switch (cpi->common.seq_params.bit_depth) { + case AOM_BITS_8: + x->sadperbit16 = sad_per_bit16lut_8[qindex]; + x->sadperbit4 = sad_per_bit4lut_8[qindex]; + break; + case AOM_BITS_10: + x->sadperbit16 = sad_per_bit16lut_10[qindex]; + x->sadperbit4 = sad_per_bit4lut_10[qindex]; + break; + case AOM_BITS_12: + x->sadperbit16 = sad_per_bit16lut_12[qindex]; + x->sadperbit4 = sad_per_bit4lut_12[qindex]; + break; + default: + assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12"); + } +} + +static void set_block_thresholds(const AV1_COMMON *cm, RD_OPT *rd) { + int i, bsize, segment_id; + + for (segment_id = 0; segment_id < MAX_SEGMENTS; ++segment_id) { + const int qindex = + clamp(av1_get_qindex(&cm->seg, segment_id, cm->base_qindex) + + cm->y_dc_delta_q, + 0, MAXQ); + const int q = compute_rd_thresh_factor(qindex, cm->seq_params.bit_depth); + + for (bsize = 0; bsize < BLOCK_SIZES_ALL; ++bsize) { + // Threshold here seems unnecessarily harsh but fine given actual + // range of values used for cpi->sf.thresh_mult[]. + const int t = q * rd_thresh_block_size_factor[bsize]; + const int thresh_max = INT_MAX / t; + + for (i = 0; i < MAX_MODES; ++i) + rd->threshes[segment_id][bsize][i] = rd->thresh_mult[i] < thresh_max + ? rd->thresh_mult[i] * t / 4 + : INT_MAX; + } + } +} + +void av1_set_mvcost(MACROBLOCK *x, int ref, int ref_mv_idx) { + (void)ref; + (void)ref_mv_idx; + x->mvcost = x->mv_cost_stack; + x->nmvjointcost = x->nmv_vec_cost; +} + +void av1_fill_coeff_costs(MACROBLOCK *x, FRAME_CONTEXT *fc, + const int num_planes) { + const int nplanes = AOMMIN(num_planes, PLANE_TYPES); + for (int eob_multi_size = 0; eob_multi_size < 7; ++eob_multi_size) { + for (int plane = 0; plane < nplanes; ++plane) { + LV_MAP_EOB_COST *pcost = &x->eob_costs[eob_multi_size][plane]; + + for (int ctx = 0; ctx < 2; ++ctx) { + aom_cdf_prob *pcdf; + switch (eob_multi_size) { + case 0: pcdf = fc->eob_flag_cdf16[plane][ctx]; break; + case 1: pcdf = fc->eob_flag_cdf32[plane][ctx]; break; + case 2: pcdf = fc->eob_flag_cdf64[plane][ctx]; break; + case 3: pcdf = fc->eob_flag_cdf128[plane][ctx]; break; + case 4: pcdf = fc->eob_flag_cdf256[plane][ctx]; break; + case 5: pcdf = fc->eob_flag_cdf512[plane][ctx]; break; + case 6: + default: pcdf = fc->eob_flag_cdf1024[plane][ctx]; break; + } + av1_cost_tokens_from_cdf(pcost->eob_cost[ctx], pcdf, NULL); + } + } + } + for (int tx_size = 0; tx_size < TX_SIZES; ++tx_size) { + for (int plane = 0; plane < nplanes; ++plane) { + LV_MAP_COEFF_COST *pcost = &x->coeff_costs[tx_size][plane]; + + for (int ctx = 0; ctx < TXB_SKIP_CONTEXTS; ++ctx) + av1_cost_tokens_from_cdf(pcost->txb_skip_cost[ctx], + fc->txb_skip_cdf[tx_size][ctx], NULL); + + for (int ctx = 0; ctx < SIG_COEF_CONTEXTS_EOB; ++ctx) + av1_cost_tokens_from_cdf(pcost->base_eob_cost[ctx], + fc->coeff_base_eob_cdf[tx_size][plane][ctx], + NULL); + for (int ctx = 0; ctx < SIG_COEF_CONTEXTS; ++ctx) + av1_cost_tokens_from_cdf(pcost->base_cost[ctx], + fc->coeff_base_cdf[tx_size][plane][ctx], NULL); + + for (int ctx = 0; ctx < EOB_COEF_CONTEXTS; ++ctx) + av1_cost_tokens_from_cdf(pcost->eob_extra_cost[ctx], + fc->eob_extra_cdf[tx_size][plane][ctx], NULL); + + for (int ctx = 0; ctx < DC_SIGN_CONTEXTS; ++ctx) + av1_cost_tokens_from_cdf(pcost->dc_sign_cost[ctx], + fc->dc_sign_cdf[plane][ctx], NULL); + + for (int ctx = 0; ctx < LEVEL_CONTEXTS; ++ctx) { + int br_rate[BR_CDF_SIZE]; + int prev_cost = 0; + int i, j; + av1_cost_tokens_from_cdf(br_rate, fc->coeff_br_cdf[tx_size][plane][ctx], + NULL); + // printf("br_rate: "); + // for(j = 0; j < BR_CDF_SIZE; j++) + // printf("%4d ", br_rate[j]); + // printf("\n"); + for (i = 0; i < COEFF_BASE_RANGE; i += BR_CDF_SIZE - 1) { + for (j = 0; j < BR_CDF_SIZE - 1; j++) { + pcost->lps_cost[ctx][i + j] = prev_cost + br_rate[j]; + } + prev_cost += br_rate[j]; + } + pcost->lps_cost[ctx][i] = prev_cost; + // printf("lps_cost: %d %d %2d : ", tx_size, plane, ctx); + // for (i = 0; i <= COEFF_BASE_RANGE; i++) + // printf("%5d ", pcost->lps_cost[ctx][i]); + // printf("\n"); + } + } + } +} + +void av1_initialize_rd_consts(AV1_COMP *cpi) { + AV1_COMMON *const cm = &cpi->common; + MACROBLOCK *const x = &cpi->td.mb; + RD_OPT *const rd = &cpi->rd; + + aom_clear_system_state(); + + rd->RDMULT = av1_compute_rd_mult(cpi, cm->base_qindex + cm->y_dc_delta_q); + + set_error_per_bit(x, rd->RDMULT); + + set_block_thresholds(cm, rd); + + if (cm->cur_frame_force_integer_mv) { + av1_build_nmv_cost_table(x->nmv_vec_cost, x->nmvcost, &cm->fc->nmvc, + MV_SUBPEL_NONE); + } else { + av1_build_nmv_cost_table( + x->nmv_vec_cost, + cm->allow_high_precision_mv ? x->nmvcost_hp : x->nmvcost, &cm->fc->nmvc, + cm->allow_high_precision_mv); + } + + x->mvcost = x->mv_cost_stack; + x->nmvjointcost = x->nmv_vec_cost; + + if (frame_is_intra_only(cm) && cm->allow_screen_content_tools && + cpi->oxcf.pass != 1) { + int *dvcost[2] = { &cpi->dv_cost[0][MV_MAX], &cpi->dv_cost[1][MV_MAX] }; + av1_build_nmv_cost_table(cpi->dv_joint_cost, dvcost, &cm->fc->ndvc, + MV_SUBPEL_NONE); + } + + if (cpi->oxcf.pass != 1) { + for (int i = 0; i < TRANS_TYPES; ++i) + // IDENTITY: 1 bit + // TRANSLATION: 3 bits + // ROTZOOM: 2 bits + // AFFINE: 3 bits + cpi->gmtype_cost[i] = (1 + (i > 0 ? (i == ROTZOOM ? 1 : 2) : 0)) + << AV1_PROB_COST_SHIFT; + } +} + +static void model_rd_norm(int xsq_q10, int *r_q10, int *d_q10) { + // NOTE: The tables below must be of the same size. + + // The functions described below are sampled at the four most significant + // bits of x^2 + 8 / 256. + + // Normalized rate: + // This table models the rate for a Laplacian source with given variance + // when quantized with a uniform quantizer with given stepsize. The + // closed form expression is: + // Rn(x) = H(sqrt(r)) + sqrt(r)*[1 + H(r)/(1 - r)], + // where r = exp(-sqrt(2) * x) and x = qpstep / sqrt(variance), + // and H(x) is the binary entropy function. + static const int rate_tab_q10[] = { + 65536, 6086, 5574, 5275, 5063, 4899, 4764, 4651, 4553, 4389, 4255, 4142, + 4044, 3958, 3881, 3811, 3748, 3635, 3538, 3453, 3376, 3307, 3244, 3186, + 3133, 3037, 2952, 2877, 2809, 2747, 2690, 2638, 2589, 2501, 2423, 2353, + 2290, 2232, 2179, 2130, 2084, 2001, 1928, 1862, 1802, 1748, 1698, 1651, + 1608, 1530, 1460, 1398, 1342, 1290, 1243, 1199, 1159, 1086, 1021, 963, + 911, 864, 821, 781, 745, 680, 623, 574, 530, 490, 455, 424, + 395, 345, 304, 269, 239, 213, 190, 171, 154, 126, 104, 87, + 73, 61, 52, 44, 38, 28, 21, 16, 12, 10, 8, 6, + 5, 3, 2, 1, 1, 1, 0, 0, + }; + // Normalized distortion: + // This table models the normalized distortion for a Laplacian source + // with given variance when quantized with a uniform quantizer + // with given stepsize. The closed form expression is: + // Dn(x) = 1 - 1/sqrt(2) * x / sinh(x/sqrt(2)) + // where x = qpstep / sqrt(variance). + // Note the actual distortion is Dn * variance. + static const int dist_tab_q10[] = { + 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 4, 5, + 5, 6, 7, 7, 8, 9, 11, 12, 13, 15, 16, 17, + 18, 21, 24, 26, 29, 31, 34, 36, 39, 44, 49, 54, + 59, 64, 69, 73, 78, 88, 97, 106, 115, 124, 133, 142, + 151, 167, 184, 200, 215, 231, 245, 260, 274, 301, 327, 351, + 375, 397, 418, 439, 458, 495, 528, 559, 587, 613, 637, 659, + 680, 717, 749, 777, 801, 823, 842, 859, 874, 899, 919, 936, + 949, 960, 969, 977, 983, 994, 1001, 1006, 1010, 1013, 1015, 1017, + 1018, 1020, 1022, 1022, 1023, 1023, 1023, 1024, + }; + static const int xsq_iq_q10[] = { + 0, 4, 8, 12, 16, 20, 24, 28, 32, + 40, 48, 56, 64, 72, 80, 88, 96, 112, + 128, 144, 160, 176, 192, 208, 224, 256, 288, + 320, 352, 384, 416, 448, 480, 544, 608, 672, + 736, 800, 864, 928, 992, 1120, 1248, 1376, 1504, + 1632, 1760, 1888, 2016, 2272, 2528, 2784, 3040, 3296, + 3552, 3808, 4064, 4576, 5088, 5600, 6112, 6624, 7136, + 7648, 8160, 9184, 10208, 11232, 12256, 13280, 14304, 15328, + 16352, 18400, 20448, 22496, 24544, 26592, 28640, 30688, 32736, + 36832, 40928, 45024, 49120, 53216, 57312, 61408, 65504, 73696, + 81888, 90080, 98272, 106464, 114656, 122848, 131040, 147424, 163808, + 180192, 196576, 212960, 229344, 245728, + }; + const int tmp = (xsq_q10 >> 2) + 8; + const int k = get_msb(tmp) - 3; + const int xq = (k << 3) + ((tmp >> k) & 0x7); + const int one_q10 = 1 << 10; + const int a_q10 = ((xsq_q10 - xsq_iq_q10[xq]) << 10) >> (2 + k); + const int b_q10 = one_q10 - a_q10; + *r_q10 = (rate_tab_q10[xq] * b_q10 + rate_tab_q10[xq + 1] * a_q10) >> 10; + *d_q10 = (dist_tab_q10[xq] * b_q10 + dist_tab_q10[xq + 1] * a_q10) >> 10; +} + +void av1_model_rd_from_var_lapndz(int64_t var, unsigned int n_log2, + unsigned int qstep, int *rate, + int64_t *dist) { + // This function models the rate and distortion for a Laplacian + // source with given variance when quantized with a uniform quantizer + // with given stepsize. The closed form expressions are in: + // Hang and Chen, "Source Model for transform video coder and its + // application - Part I: Fundamental Theory", IEEE Trans. Circ. + // Sys. for Video Tech., April 1997. + if (var == 0) { + *rate = 0; + *dist = 0; + } else { + int d_q10, r_q10; + static const uint32_t MAX_XSQ_Q10 = 245727; + const uint64_t xsq_q10_64 = + (((uint64_t)qstep * qstep << (n_log2 + 10)) + (var >> 1)) / var; + const int xsq_q10 = (int)AOMMIN(xsq_q10_64, MAX_XSQ_Q10); + model_rd_norm(xsq_q10, &r_q10, &d_q10); + *rate = ROUND_POWER_OF_TWO(r_q10 << n_log2, 10 - AV1_PROB_COST_SHIFT); + *dist = (var * (int64_t)d_q10 + 512) >> 10; + } +} + +static double interp_cubic(const double *p, double x) { + return p[1] + 0.5 * x * + (p[2] - p[0] + + x * (2.0 * p[0] - 5.0 * p[1] + 4.0 * p[2] - p[3] + + x * (3.0 * (p[1] - p[2]) + p[3] - p[0]))); +} + +static double interp_bicubic(const double *p, int p_stride, double x, + double y) { + double q[4]; + q[0] = interp_cubic(p, x); + q[1] = interp_cubic(p + p_stride, x); + q[2] = interp_cubic(p + 2 * p_stride, x); + q[3] = interp_cubic(p + 3 * p_stride, x); + return interp_cubic(q, y); +} + +static const double interp_rgrid_surf[65 * 18] = { + 0.104019, 0.245714, 0.293686, 0.358635, 0.382167, 0.412446, + 0.419955, 0.421388, 0.426672, 0.427990, 0.428531, 0.456868, + 0.569880, 0.638822, 1.016319, 2.143453, 3.565229, 4.720880, + 0.124618, 0.294211, 0.352023, 0.429991, 0.458206, 0.494510, + 0.503513, 0.505232, 0.511566, 0.513234, 0.519365, 0.570225, + 0.697373, 0.840624, 1.462198, 3.289054, 6.256517, 6.852788, + 0.118630, 0.269669, 0.346620, 0.430999, 0.459385, 0.495783, + 0.504808, 0.506532, 0.512884, 0.514988, 0.543437, 0.662772, + 0.795876, 1.313596, 2.403841, 4.163098, 7.440589, 8.616275, + 0.093329, 0.168205, 0.321320, 0.430607, 0.459385, 0.495783, + 0.504813, 0.506548, 0.512975, 0.520662, 0.571659, 0.701841, + 1.010727, 2.138851, 3.460626, 6.317955, 10.098127, 14.418553, + 0.087021, 0.142905, 0.315011, 0.430509, 0.459385, 0.495787, + 0.505075, 0.507599, 0.513584, 0.543182, 0.669941, 0.825620, + 1.362800, 2.572187, 4.205047, 7.498399, 12.303118, 16.641735, + 0.086923, 0.142513, 0.314913, 0.430508, 0.459385, 0.495803, + 0.506126, 0.511816, 0.514810, 0.549705, 0.725350, 1.127334, + 2.168597, 3.463686, 6.318605, 10.162284, 18.556041, 19.847042, + 0.086923, 0.142513, 0.314913, 0.430506, 0.459376, 0.495805, + 0.506388, 0.512954, 0.520772, 0.580215, 0.810474, 1.391548, + 2.579442, 4.205160, 7.498399, 12.381597, 21.703618, 24.015457, + 0.086923, 0.142513, 0.314911, 0.430353, 0.458765, 0.495652, + 0.506391, 0.513406, 0.544098, 0.702950, 1.121860, 2.168961, + 3.463798, 6.318607, 10.162284, 18.685361, 28.188192, 37.638872, + 0.086923, 0.142513, 0.314901, 0.429742, 0.456313, 0.495045, + 0.506484, 0.519195, 0.580104, 0.810126, 1.391462, 2.579441, + 4.205160, 7.498399, 12.381597, 21.848607, 33.367199, 42.623190, + 0.086923, 0.142513, 0.314899, 0.429589, 0.455706, 0.495155, + 0.507882, 0.542426, 0.702360, 1.119921, 2.168478, 3.463791, + 6.318607, 10.162284, 18.685361, 28.345760, 47.802028, 49.163533, + 0.086924, 0.142548, 0.315086, 0.429842, 0.455870, 0.496336, + 0.512412, 0.556953, 0.773373, 1.266396, 2.548277, 4.204676, + 7.498399, 12.381597, 21.848607, 33.548250, 54.301011, 56.262859, + 0.087067, 0.144957, 0.327436, 0.446616, 0.466362, 0.505706, + 0.522077, 0.610747, 0.972543, 1.666916, 3.338812, 6.316669, + 10.162284, 18.685361, 28.345760, 48.065311, 66.145302, 78.396020, + 0.094295, 0.164235, 0.393722, 0.534219, 0.530922, 0.579308, + 0.603889, 0.760870, 1.229961, 2.423214, 4.173513, 7.497916, + 12.381597, 21.848607, 33.548250, 54.589585, 74.875848, 86.468182, + 0.124096, 0.213005, 0.497188, 0.665176, 0.685973, 0.800200, + 0.911394, 1.077971, 1.677290, 3.332129, 6.314960, 10.162257, + 18.685361, 28.345760, 48.065311, 66.453506, 98.275189, 96.862588, + 0.140999, 0.270140, 0.658212, 0.867661, 0.970183, 1.149516, + 1.480599, 1.664833, 2.421893, 3.857981, 7.418830, 12.380371, + 21.848607, 33.548250, 54.589585, 75.188867, 106.657971, 99.762997, + 0.178353, 0.398001, 0.988462, 1.241473, 1.340967, 1.713568, + 2.335030, 2.701432, 3.348532, 5.077158, 9.829903, 18.676528, + 28.345700, 48.065311, 66.453506, 98.588283, 117.057193, 101.130722, + 0.281079, 0.548300, 1.395825, 1.780770, 2.000508, 2.702964, + 3.638454, 4.573843, 5.051641, 7.079129, 11.293332, 21.594861, + 33.544335, 54.589585, 75.188867, 106.971065, 119.957601, 101.466632, + 0.476762, 0.842189, 2.019678, 2.723895, 3.188467, 4.011610, + 5.545111, 7.508984, 8.176339, 9.774504, 14.720782, 27.334416, + 48.049609, 66.453506, 98.588283, 117.370357, 121.329855, 101.509242, + 0.993999, 1.520111, 3.013605, 4.203530, 4.982992, 6.074944, + 8.583581, 11.818375, 14.192544, 14.937517, 21.258160, 33.305953, + 54.585735, 75.188867, 106.971135, 120.279824, 121.976055, 102.690130, + 1.776487, 2.613655, 4.356487, 6.161726, 7.622196, 9.464193, + 13.077233, 18.051656, 23.221051, 24.080068, 30.085038, 48.345269, + 66.457698, 98.588353, 117.379415, 121.976128, 124.356210, 107.713202, + 3.191085, 4.495201, 5.686033, 8.365566, 11.275339, 14.706437, + 20.300969, 28.152237, 35.688355, 39.341382, 41.030743, 55.752262, + 75.211764, 106.980285, 120.608403, 124.680746, 130.222528, 112.260098, + 6.136611, 7.305215, 7.272532, 10.646713, 15.630815, 22.383168, + 31.349131, 42.419822, 52.301680, 58.983454, 58.915405, 69.161305, + 98.992460, 117.713855, 124.344836, 130.623638, 138.442401, 127.846670, + 11.707980, 13.490761, 11.640845, 14.176132, 22.131124, 33.776462, + 47.365711, 61.603834, 75.281056, 83.463985, 85.510533, 86.026513, + 108.787480, 123.031136, 130.607284, 138.954406, 160.867784, 158.958882, + 27.062874, 32.195139, 24.147297, 22.114632, 35.580506, 52.551674, + 71.652956, 88.606776, 102.107193, 110.703186, 114.398733, 111.118539, + 121.503578, 132.455924, 139.490806, 161.412674, 193.563210, 172.203945, + 35.625692, 47.953028, 42.639820, 42.276254, 58.815664, 84.977282, + 110.656412, 126.168446, 134.658126, 140.604482, 144.006012, 141.702382, + 140.125323, 153.122630, 164.748041, 194.156197, 206.854650, 174.013079, + 49.516447, 65.335381, 71.738306, 81.872819, 98.400740, 136.840488, + 163.775802, 169.440078, 172.747876, 171.222919, 171.679604, 172.173550, + 168.200129, 187.617133, 199.683394, 207.768200, 210.062520, 175.478356, + 60.341673, 92.487135, 119.907299, 136.068010, 144.778950, 189.443534, + 220.120077, 219.641635, 214.616503, 205.894657, 198.453924, 200.013069, + 195.938103, 206.118661, 210.447375, 212.061379, 216.078218, 181.162805, + 78.422159, 112.242899, 158.416312, 181.404320, 193.188690, 229.296967, + 270.461799, 275.168977, 256.511701, 244.706786, 231.344608, 226.065087, + 222.248618, 218.662324, 217.966722, 218.248574, 218.818588, 182.740573, + 88.713664, 123.594164, 172.928179, 213.781414, 245.800351, 252.063414, + 313.283141, 331.703831, 305.866639, 285.177142, 269.759635, 251.988739, + 245.998388, 232.688076, 230.588702, 230.882657, 230.319053, 192.120741, + 102.540561, 152.905927, 189.137131, 241.806756, 273.868497, 284.258017, + 339.689853, 373.561104, 362.657463, 326.291984, 311.922687, 290.460189, + 276.774381, 273.012072, 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1.012871, + 0.778422, 0.578977, 0.412432, 0.293155, 0.231824, 0.197187, 0.183921, + 0.174876, 0.157252, 0.140263, 0.127050, 0.110244, 0.105041, 0.104323, + 0.086944, 1.153994, 1.118771, 0.822355, 0.612321, 0.478249, 0.348222, + 0.247408, 0.186141, 0.152714, 0.135445, 0.129810, 0.119994, 0.115619, + 0.131626, 0.095612, 0.079343, 0.077502, 0.064550, 0.946317, 0.925894, + 0.677969, 0.499906, 0.397101, 0.297931, 0.214467, 0.152333, 0.120731, + 0.102686, 0.095062, 0.090361, 0.122319, 0.240194, 0.112687, 0.070690, + 0.070461, 0.054194, 0.824155, 0.787241, 0.581856, 0.419228, 0.313167, + 0.245582, 0.183500, 0.128101, 0.096577, 0.080267, 0.071022, 0.066851, + 0.085754, 0.154163, 0.075884, 0.052401, 0.054270, 0.026656, 0.716310, + 0.671378, 0.489580, 0.349569, 0.256155, 0.206343, 0.157853, 0.111950, + 0.079271, 0.062518, 0.053441, 0.049660, 0.051400, 0.063778, 0.039993, + 0.029133, 0.023382, 0.013725, 0.614125, 0.579096, 0.417126, 0.299465, + 0.217849, 0.165515, 0.129040, 0.093127, 0.065612, 0.049543, 0.041429, + 0.036850, 0.034416, 0.033989, 0.024216, 0.017377, 0.014833, 0.011987, + 0.520407, 0.487239, 0.349473, 0.251741, 0.184897, 0.135813, 0.107098, + 0.073607, 0.053938, 0.040531, 0.032931, 0.028876, 0.025759, 0.022168, + 0.016739, 0.014638, 0.014333, 0.011947, 0.449954, 0.415124, 0.299452, + 0.216942, 0.158874, 0.115334, 0.088821, 0.060105, 0.042610, 0.032566, + 0.026903, 0.023123, 0.019913, 0.016835, 0.014306, 0.013625, 0.013535, + 0.011284, 0.377618, 0.347773, 0.251741, 0.184839, 0.132857, 0.095439, + 0.070462, 0.052244, 0.036078, 0.026025, 0.021518, 0.018487, 0.015361, + 0.012905, 0.011470, 0.010569, 0.010283, 0.008297, 0.319953, 0.297976, + 0.216942, 0.158842, 0.113280, 0.080426, 0.057367, 0.041987, 0.030135, + 0.022295, 0.017901, 0.015121, 0.012224, 0.010035, 0.009353, 0.009108, + 0.008695, 0.006139, 0.267864, 0.250502, 0.184839, 0.132851, 0.095039, + 0.068220, 0.049135, 0.035315, 0.025144, 0.018237, 0.013857, 0.012094, + 0.009715, 0.007743, 0.006937, 0.006446, 0.006243, 0.004929, 0.230449, + 0.215895, 0.158842, 0.113280, 0.080417, 0.057174, 0.041304, 0.029959, + 0.021866, 0.015673, 0.012133, 0.010083, 0.007801, 0.006053, 0.005401, + 0.003834, 0.003429, 0.002851, 0.193984, 0.183963, 0.132851, 0.095039, + 0.068220, 0.049133, 0.035305, 0.025140, 0.018150, 0.013175, 0.010422, + 0.008491, 0.006397, 0.004567, 0.003494, 0.002933, 0.002825, 0.002355, + 0.167298, 0.158088, 0.113280, 0.080417, 0.057174, 0.041304, 0.029959, + 0.021866, 0.015669, 0.011955, 0.009257, 0.007051, 0.005543, 0.003905, + 0.002984, 0.002825, 0.002814, 0.002347, 0.143228, 0.132220, 0.095039, + 0.068220, 0.049133, 0.035305, 0.025140, 0.018150, 0.013174, 0.010394, + 0.008403, 0.006661, 0.005378, 0.003545, 0.002876, 0.002818, 0.002814, + 0.002347, 0.122934, 0.112735, 0.080417, 0.057174, 0.041304, 0.029959, + 0.021866, 0.015669, 0.011955, 0.009258, 0.007182, 0.006012, 0.003762, + 0.002866, 0.002739, 0.002788, 0.002810, 0.002347, 0.101934, 0.094569, + 0.068220, 0.049133, 0.035305, 0.025140, 0.018150, 0.013174, 0.010394, + 0.008405, 0.006797, 0.005845, 0.003333, 0.002703, 0.002695, 0.002723, + 0.002781, 0.002343, 0.086702, 0.080014, 0.057174, 0.041304, 0.029959, + 0.021866, 0.015669, 0.011955, 0.009258, 0.007190, 0.006533, 0.005839, + 0.003326, 0.002700, 0.002690, 0.002694, 0.002716, 0.002314, 0.073040, + 0.067886, 0.049133, 0.035305, 0.025140, 0.018150, 0.013174, 0.010394, + 0.008405, 0.006807, 0.006468, 0.005831, 0.003325, 0.002700, 0.002690, + 0.002690, 0.002687, 0.002253, 0.061685, 0.056890, 0.041304, 0.029959, + 0.021866, 0.015669, 0.011955, 0.009258, 0.007190, 0.006542, 0.006360, + 0.005416, 0.003221, 0.002698, 0.002690, 0.002690, 0.002683, 0.002238, + 0.052465, 0.048894, 0.035305, 0.025140, 0.018150, 0.013174, 0.010394, + 0.008405, 0.006807, 0.006472, 0.005943, 0.003748, 0.002805, 0.002692, + 0.002690, 0.002690, 0.002683, 0.002238, 0.043838, 0.041101, 0.029959, + 0.021866, 0.015669, 0.011955, 0.009258, 0.007190, 0.006543, 0.006465, + 0.005839, 0.003333, 0.002702, 0.002690, 0.002690, 0.002690, 0.002683, + 0.002238, 0.037824, 0.035133, 0.025140, 0.018150, 0.013174, 0.010394, + 0.008405, 0.006807, 0.006480, 0.006464, 0.005838, 0.003326, 0.002700, + 0.002690, 0.002690, 0.002690, 0.002683, 0.002238, 0.031865, 0.029815, + 0.021866, 0.015668, 0.011955, 0.009258, 0.007190, 0.006543, 0.006475, + 0.006462, 0.005831, 0.003325, 0.002700, 0.002690, 0.002690, 0.002690, + 0.002683, 0.002238, 0.027150, 0.025016, 0.018128, 0.013083, 0.010371, + 0.008405, 0.006807, 0.006480, 0.006472, 0.006359, 0.005416, 0.003221, + 0.002698, 0.002690, 0.002690, 0.002690, 0.002683, 0.002238, 0.023094, + 0.021760, 0.015577, 0.011590, 0.009167, 0.007188, 0.006543, 0.006475, + 0.006466, 0.005943, 0.003748, 0.002805, 0.002692, 0.002690, 0.002690, + 0.002690, 0.002683, 0.002238, 0.019269, 0.018038, 0.013060, 0.010280, + 0.008382, 0.006806, 0.006480, 0.006474, 0.006464, 0.005839, 0.003333, + 0.002702, 0.002690, 0.002690, 0.002690, 0.002690, 0.002683, 0.002238, + 0.016874, 0.015472, 0.011566, 0.009148, 0.007171, 0.006527, 0.006458, + 0.006457, 0.006447, 0.005823, 0.003318, 0.002693, 0.002683, 0.002683, + 0.002683, 0.002683, 0.002676, 0.002232, 0.011968, 0.011056, 0.008762, + 0.007219, 0.005717, 0.005391, 0.005386, 0.005386, 0.005377, 0.004856, + 0.002767, 0.002246, 0.002238, 0.002238, 0.002238, 0.002238, 0.002232, + 0.001862, +}; + +void av1_model_rd_surffit(double xm, double yl, double *rate_f, + double *dist_f) { + const double x_start = -0.5; + const double x_end = 16.5; + const double x_step = 1; + const double y_start = -15.5; + const double y_end = 16.5; + const double y_step = 0.5; + const double epsilon = 1e-6; + const int stride = (int)rint((x_end - x_start) / x_step) + 1; + (void)y_end; + + xm = AOMMAX(xm, x_start + x_step + epsilon); + xm = AOMMIN(xm, x_end - x_step - epsilon); + yl = AOMMAX(yl, y_start + y_step + epsilon); + yl = AOMMIN(yl, y_end - y_step - epsilon); + + const double y = (yl - y_start) / y_step; + const double x = (xm - x_start) / x_step; + + const int yi = (int)floor(y); + const int xi = (int)floor(x); + assert(xi > 0); + assert(yi > 0); + + const double yo = y - yi; + const double xo = x - xi; + const double *prate = &interp_rgrid_surf[(yi - 1) * stride + (xi - 1)]; + const double *pdist = &interp_dgrid_surf[(yi - 1) * stride + (xi - 1)]; + *rate_f = interp_bicubic(prate, stride, xo, yo); + *dist_f = interp_bicubic(pdist, stride, xo, yo); +} + +static const double interp_rgrid_curv[65] = { + 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, + 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, + 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 4.759876, + 8.132086, 13.651828, 21.908271, 33.522054, 48.782376, 71.530983, + 106.728649, 151.942795, 199.893011, 242.850965, 283.933923, 322.154203, + 360.684608, 394.801656, 426.879017, 460.234313, 484.103987, 508.261495, + 536.486763, 558.196737, 586.285894, 614.764511, 634.166333, 647.706472, + 658.211478, 681.360407, 701.052141, 727.007310, 768.663973, 804.407660, + 884.627751, 1065.658131, 1238.875214, 1440.185176, 1678.377931, 1962.243390, + 2300.571467, 2702.152072, 3175.775119, 3730.230519, 4374.308184, 5116.798028, + 5966.489961, 6932.173897, 8022.639747, 9246.677424, 10613.076839, +}; + +static const double interp_dgrid_curv[65] = { + 14.604855, 14.604855, 14.604855, 14.604855, 14.604855, 14.604855, 14.604855, + 14.604855, 14.604855, 14.604855, 14.604855, 14.604855, 14.555776, 14.533692, + 14.439920, 14.257791, 13.977230, 13.623229, 13.064884, 12.355411, 11.560773, + 10.728960, 9.861975, 8.643612, 6.916021, 5.154769, 3.734940, 2.680051, + 1.925506, 1.408410, 1.042223, 0.767641, 0.565392, 0.420116, 0.310427, + 0.231711, 0.172999, 0.128293, 0.094992, 0.072171, 0.052972, 0.039354, + 0.029555, 0.022857, 0.016832, 0.013297, 0.000000, 0.000000, 0.000000, + 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, + 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, + 0.000000, 0.000000, +}; + +void av1_model_rd_curvfit(double xqr, double *rate_f, double *distbysse_f) { + const double x_start = -15.5; + const double x_end = 16.5; + const double x_step = 0.5; + const double epsilon = 1e-6; + (void)x_end; + + xqr = AOMMAX(xqr, x_start + x_step + epsilon); + xqr = AOMMIN(xqr, x_end - x_step - epsilon); + const double x = (xqr - x_start) / x_step; + const int xi = (int)floor(x); + const double xo = x - xi; + + assert(xi > 0); + + const double *prate = &interp_rgrid_curv[(xi - 1)]; + const double *pdist = &interp_dgrid_curv[(xi - 1)]; + *rate_f = interp_cubic(prate, xo); + *distbysse_f = interp_cubic(pdist, xo); +} + +static void get_entropy_contexts_plane(BLOCK_SIZE plane_bsize, + const struct macroblockd_plane *pd, + ENTROPY_CONTEXT t_above[MAX_MIB_SIZE], + ENTROPY_CONTEXT t_left[MAX_MIB_SIZE]) { + const int num_4x4_w = block_size_wide[plane_bsize] >> tx_size_wide_log2[0]; + const int num_4x4_h = block_size_high[plane_bsize] >> tx_size_high_log2[0]; + const ENTROPY_CONTEXT *const above = pd->above_context; + const ENTROPY_CONTEXT *const left = pd->left_context; + + memcpy(t_above, above, sizeof(ENTROPY_CONTEXT) * num_4x4_w); + memcpy(t_left, left, sizeof(ENTROPY_CONTEXT) * num_4x4_h); +} + +void av1_get_entropy_contexts(BLOCK_SIZE bsize, + const struct macroblockd_plane *pd, + ENTROPY_CONTEXT t_above[MAX_MIB_SIZE], + ENTROPY_CONTEXT t_left[MAX_MIB_SIZE]) { + const BLOCK_SIZE plane_bsize = + get_plane_block_size(bsize, pd->subsampling_x, pd->subsampling_y); + get_entropy_contexts_plane(plane_bsize, pd, t_above, t_left); +} + +void av1_mv_pred(const AV1_COMP *cpi, MACROBLOCK *x, uint8_t *ref_y_buffer, + int ref_y_stride, int ref_frame, BLOCK_SIZE block_size) { + int i; + int zero_seen = 0; + int best_sad = INT_MAX; + int this_sad = INT_MAX; + int max_mv = 0; + uint8_t *src_y_ptr = x->plane[0].src.buf; + uint8_t *ref_y_ptr; + MV pred_mv[MAX_MV_REF_CANDIDATES + 1]; + int num_mv_refs = 0; + const MV_REFERENCE_FRAME ref_frames[2] = { ref_frame, NONE_FRAME }; + const int_mv ref_mv = + av1_get_ref_mv_from_stack(0, ref_frames, 0, x->mbmi_ext); + const int_mv ref_mv1 = + av1_get_ref_mv_from_stack(0, ref_frames, 1, x->mbmi_ext); + + pred_mv[num_mv_refs++] = ref_mv.as_mv; + if (ref_mv.as_int != ref_mv1.as_int) { + pred_mv[num_mv_refs++] = ref_mv1.as_mv; + } + if (cpi->sf.adaptive_motion_search && block_size < x->max_partition_size) + pred_mv[num_mv_refs++] = x->pred_mv[ref_frame]; + + assert(num_mv_refs <= (int)(sizeof(pred_mv) / sizeof(pred_mv[0]))); + + // Get the sad for each candidate reference mv. + for (i = 0; i < num_mv_refs; ++i) { + const MV *this_mv = &pred_mv[i]; + int fp_row, fp_col; + fp_row = (this_mv->row + 3 + (this_mv->row >= 0)) >> 3; + fp_col = (this_mv->col + 3 + (this_mv->col >= 0)) >> 3; + max_mv = AOMMAX(max_mv, AOMMAX(abs(this_mv->row), abs(this_mv->col)) >> 3); + + if (fp_row == 0 && fp_col == 0 && zero_seen) continue; + zero_seen |= (fp_row == 0 && fp_col == 0); + + ref_y_ptr = &ref_y_buffer[ref_y_stride * fp_row + fp_col]; + // Find sad for current vector. + this_sad = cpi->fn_ptr[block_size].sdf(src_y_ptr, x->plane[0].src.stride, + ref_y_ptr, ref_y_stride); + // Note if it is the best so far. + if (this_sad < best_sad) { + best_sad = this_sad; + } + } + + // Note the index of the mv that worked best in the reference list. + x->max_mv_context[ref_frame] = max_mv; + x->pred_mv_sad[ref_frame] = best_sad; +} + +void av1_setup_pred_block(const MACROBLOCKD *xd, + struct buf_2d dst[MAX_MB_PLANE], + const YV12_BUFFER_CONFIG *src, int mi_row, int mi_col, + const struct scale_factors *scale, + const struct scale_factors *scale_uv, + const int num_planes) { + int i; + + dst[0].buf = src->y_buffer; + dst[0].stride = src->y_stride; + dst[1].buf = src->u_buffer; + dst[2].buf = src->v_buffer; + dst[1].stride = dst[2].stride = src->uv_stride; + + for (i = 0; i < num_planes; ++i) { + setup_pred_plane(dst + i, xd->mi[0]->sb_type, dst[i].buf, + i ? src->uv_crop_width : src->y_crop_width, + i ? src->uv_crop_height : src->y_crop_height, + dst[i].stride, mi_row, mi_col, i ? scale_uv : scale, + xd->plane[i].subsampling_x, xd->plane[i].subsampling_y); + } +} + +int av1_raster_block_offset(BLOCK_SIZE plane_bsize, int raster_block, + int stride) { + const int bw = mi_size_wide_log2[plane_bsize]; + const int y = 4 * (raster_block >> bw); + const int x = 4 * (raster_block & ((1 << bw) - 1)); + return y * stride + x; +} + +int16_t *av1_raster_block_offset_int16(BLOCK_SIZE plane_bsize, int raster_block, + int16_t *base) { + const int stride = block_size_wide[plane_bsize]; + return base + av1_raster_block_offset(plane_bsize, raster_block, stride); +} + +YV12_BUFFER_CONFIG *av1_get_scaled_ref_frame(const AV1_COMP *cpi, + int ref_frame) { + const AV1_COMMON *const cm = &cpi->common; + const int scaled_idx = cpi->scaled_ref_idx[ref_frame - 1]; + const int ref_idx = get_ref_frame_buf_idx(cpi, ref_frame); + return (scaled_idx != ref_idx && scaled_idx != INVALID_IDX) + ? &cm->buffer_pool->frame_bufs[scaled_idx].buf + : NULL; +} + +int av1_get_switchable_rate(const AV1_COMMON *const cm, MACROBLOCK *x, + const MACROBLOCKD *xd) { + if (cm->interp_filter == SWITCHABLE) { + const MB_MODE_INFO *const mbmi = xd->mi[0]; + int inter_filter_cost = 0; + int dir; + + for (dir = 0; dir < 2; ++dir) { + const int ctx = av1_get_pred_context_switchable_interp(xd, dir); + const InterpFilter filter = + av1_extract_interp_filter(mbmi->interp_filters, dir); + inter_filter_cost += x->switchable_interp_costs[ctx][filter]; + } + return SWITCHABLE_INTERP_RATE_FACTOR * inter_filter_cost; + } else { + return 0; + } +} + +void av1_set_rd_speed_thresholds(AV1_COMP *cpi) { + int i; + RD_OPT *const rd = &cpi->rd; + SPEED_FEATURES *const sf = &cpi->sf; + + // Set baseline threshold values. + for (i = 0; i < MAX_MODES; ++i) rd->thresh_mult[i] = cpi->oxcf.mode == 0; + + if (sf->adaptive_rd_thresh) { + rd->thresh_mult[THR_NEARESTMV] = 300; + rd->thresh_mult[THR_NEARESTL2] = 300; + rd->thresh_mult[THR_NEARESTL3] = 300; + rd->thresh_mult[THR_NEARESTB] = 300; + rd->thresh_mult[THR_NEARESTA2] = 300; + rd->thresh_mult[THR_NEARESTA] = 300; + rd->thresh_mult[THR_NEARESTG] = 300; + } else { + rd->thresh_mult[THR_NEARESTMV] = 0; + rd->thresh_mult[THR_NEARESTL2] = 0; + rd->thresh_mult[THR_NEARESTL3] = 0; + rd->thresh_mult[THR_NEARESTB] = 0; + rd->thresh_mult[THR_NEARESTA2] = 0; + rd->thresh_mult[THR_NEARESTA] = 0; + rd->thresh_mult[THR_NEARESTG] = 0; + } + + rd->thresh_mult[THR_NEWMV] += 1000; + rd->thresh_mult[THR_NEWL2] += 1000; + rd->thresh_mult[THR_NEWL3] += 1000; + rd->thresh_mult[THR_NEWB] += 1000; + rd->thresh_mult[THR_NEWA2] = 1000; + rd->thresh_mult[THR_NEWA] += 1000; + rd->thresh_mult[THR_NEWG] += 1000; + + rd->thresh_mult[THR_NEARMV] += 1000; + rd->thresh_mult[THR_NEARL2] += 1000; + rd->thresh_mult[THR_NEARL3] += 1000; + rd->thresh_mult[THR_NEARB] += 1000; + rd->thresh_mult[THR_NEARA2] = 1000; + rd->thresh_mult[THR_NEARA] += 1000; + rd->thresh_mult[THR_NEARG] += 1000; + + rd->thresh_mult[THR_GLOBALMV] += 2000; + rd->thresh_mult[THR_GLOBALL2] += 2000; + rd->thresh_mult[THR_GLOBALL3] += 2000; + rd->thresh_mult[THR_GLOBALB] += 2000; + rd->thresh_mult[THR_GLOBALA2] = 2000; + rd->thresh_mult[THR_GLOBALG] += 2000; + rd->thresh_mult[THR_GLOBALA] += 2000; + + rd->thresh_mult[THR_COMP_NEAREST_NEARESTLA] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2A] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3A] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTGA] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTLB] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2B] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3B] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTGB] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTLA2] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2A2] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3A2] += 1000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTGA2] += 1000; + + rd->thresh_mult[THR_COMP_NEAREST_NEARESTLL2] += 2000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTLL3] += 2000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTLG] += 2000; + rd->thresh_mult[THR_COMP_NEAREST_NEARESTBA] += 2000; + + rd->thresh_mult[THR_COMP_NEAR_NEARLA] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWLA] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTLA] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWLA] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARLA] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWLA] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLA] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARL2A] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWL2A] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTL2A] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWL2A] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARL2A] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWL2A] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2A] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARL3A] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWL3A] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTL3A] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWL3A] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARL3A] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWL3A] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3A] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARGA] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWGA] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTGA] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWGA] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARGA] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWGA] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGA] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARLB] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWLB] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTLB] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWLB] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARLB] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWLB] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLB] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARL2B] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWL2B] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTL2B] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWL2B] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARL2B] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWL2B] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2B] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARL3B] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWL3B] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTL3B] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWL3B] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARL3B] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWL3B] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3B] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARGB] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWGB] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTGB] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWGB] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARGB] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWGB] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGB] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARLA2] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWLA2] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTLA2] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWLA2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARLA2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWLA2] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLA2] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARL2A2] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWL2A2] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTL2A2] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWL2A2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARL2A2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWL2A2] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2A2] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARL3A2] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWL3A2] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTL3A2] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWL3A2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARL3A2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWL3A2] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3A2] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARGA2] += 1200; + rd->thresh_mult[THR_COMP_NEAREST_NEWGA2] += 1500; + rd->thresh_mult[THR_COMP_NEW_NEARESTGA2] += 1500; + rd->thresh_mult[THR_COMP_NEAR_NEWGA2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEARGA2] += 1700; + rd->thresh_mult[THR_COMP_NEW_NEWGA2] += 2000; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGA2] += 2500; + + rd->thresh_mult[THR_COMP_NEAR_NEARLL2] += 1600; + rd->thresh_mult[THR_COMP_NEAREST_NEWLL2] += 2000; + rd->thresh_mult[THR_COMP_NEW_NEARESTLL2] += 2000; + rd->thresh_mult[THR_COMP_NEAR_NEWLL2] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEARLL2] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEWLL2] += 2400; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLL2] += 3200; + + rd->thresh_mult[THR_COMP_NEAR_NEARLL3] += 1600; + rd->thresh_mult[THR_COMP_NEAREST_NEWLL3] += 2000; + rd->thresh_mult[THR_COMP_NEW_NEARESTLL3] += 2000; + rd->thresh_mult[THR_COMP_NEAR_NEWLL3] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEARLL3] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEWLL3] += 2400; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLL3] += 3200; + + rd->thresh_mult[THR_COMP_NEAR_NEARLG] += 1600; + rd->thresh_mult[THR_COMP_NEAREST_NEWLG] += 2000; + rd->thresh_mult[THR_COMP_NEW_NEARESTLG] += 2000; + rd->thresh_mult[THR_COMP_NEAR_NEWLG] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEARLG] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEWLG] += 2400; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLG] += 3200; + + rd->thresh_mult[THR_COMP_NEAR_NEARBA] += 1600; + rd->thresh_mult[THR_COMP_NEAREST_NEWBA] += 2000; + rd->thresh_mult[THR_COMP_NEW_NEARESTBA] += 2000; + rd->thresh_mult[THR_COMP_NEAR_NEWBA] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEARBA] += 2200; + rd->thresh_mult[THR_COMP_NEW_NEWBA] += 2400; + rd->thresh_mult[THR_COMP_GLOBAL_GLOBALBA] += 3200; + + rd->thresh_mult[THR_DC] += 1000; + rd->thresh_mult[THR_PAETH] += 1000; + rd->thresh_mult[THR_SMOOTH] += 2000; + rd->thresh_mult[THR_SMOOTH_V] += 2000; + rd->thresh_mult[THR_SMOOTH_H] += 2000; + rd->thresh_mult[THR_H_PRED] += 2000; + rd->thresh_mult[THR_V_PRED] += 2000; + rd->thresh_mult[THR_D135_PRED] += 2500; + rd->thresh_mult[THR_D203_PRED] += 2500; + rd->thresh_mult[THR_D157_PRED] += 2500; + rd->thresh_mult[THR_D67_PRED] += 2500; + rd->thresh_mult[THR_D113_PRED] += 2500; + rd->thresh_mult[THR_D45_PRED] += 2500; +} + +void av1_set_rd_speed_thresholds_sub8x8(AV1_COMP *cpi) { + static const int thresh_mult[MAX_REFS] = { 2500, 2500, 2500, 2500, 2500, + 2500, 2500, 4500, 4500, 4500, + 4500, 4500, 4500, 4500, 4500, + 4500, 4500, 4500, 4500, 2500 }; + RD_OPT *const rd = &cpi->rd; + memcpy(rd->thresh_mult_sub8x8, thresh_mult, sizeof(thresh_mult)); +} + +void av1_update_rd_thresh_fact(const AV1_COMMON *const cm, + int (*factor_buf)[MAX_MODES], int rd_thresh, + int bsize, int best_mode_index) { + if (rd_thresh > 0) { + const int top_mode = MAX_MODES; + int mode; + for (mode = 0; mode < top_mode; ++mode) { + const BLOCK_SIZE min_size = AOMMAX(bsize - 1, BLOCK_4X4); + const BLOCK_SIZE max_size = + AOMMIN(bsize + 2, (int)cm->seq_params.sb_size); + BLOCK_SIZE bs; + for (bs = min_size; bs <= max_size; ++bs) { + int *const fact = &factor_buf[bs][mode]; + if (mode == best_mode_index) { + *fact -= (*fact >> 4); + } else { + *fact = AOMMIN(*fact + RD_THRESH_INC, rd_thresh * RD_THRESH_MAX_FACT); + } + } + } + } +} + +int av1_get_intra_cost_penalty(int qindex, int qdelta, + aom_bit_depth_t bit_depth) { + const int q = av1_dc_quant_Q3(qindex, qdelta, bit_depth); + switch (bit_depth) { + case AOM_BITS_8: return 20 * q; + case AOM_BITS_10: return 5 * q; + case AOM_BITS_12: return ROUND_POWER_OF_TWO(5 * q, 2); + default: + assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12"); + return -1; + } +} |