Google Git
Sign in
aomedia / aom / 01de69e2f93b9aac6d7ac4b82827a2535da227b0 / . / av1 / encoder / intra_mode_search.c
blob: ab8e3c34eeafdcbd07f79036cc3c24fd5afe4d0f [file] [log] [blame]
/*
* Copyright (c) 2020, Alliance for Open Media. All rights reserved
*
* This source code is subject to the terms of the BSD 2 Clause License and
* the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
* was not distributed with this source code in the LICENSE file, you can
* obtain it at www.aomedia.org/license/software. If the Alliance for Open
* Media Patent License 1.0 was not distributed with this source code in the
* PATENTS file, you can obtain it at www.aomedia.org/license/patent.
*/
#include "av1/common/av1_common_int.h"
#include "av1/common/reconintra.h"
#include "av1/encoder/intra_mode_search.h"
#include "av1/encoder/intra_mode_search_utils.h"
#include "av1/encoder/palette.h"
#include "av1/encoder/speed_features.h"
#include "av1/encoder/tx_search.h"
// Even though there are 7 delta angles, this macro is set to 9 to facilitate
// the rd threshold check to prune -3 and 3 delta angles.
#define SIZE_OF_ANGLE_DELTA_RD_COST_ARRAY (2 * MAX_ANGLE_DELTA + 3)
// The order for evaluating delta angles while processing the luma directional
// intra modes. Currently, this order of evaluation is applicable only when
// speed feature prune_luma_odd_delta_angles_in_intra is enabled. In this case,
// even angles are evaluated first in order to facilitate the pruning of odd
// delta angles based on the rd costs of the neighboring delta angles.
static const int8_t luma_delta_angles_order[2 * MAX_ANGLE_DELTA] = {
-2, 2, -3, -1, 1, 3,
};
/*!\cond */
static const PREDICTION_MODE intra_rd_search_mode_order[INTRA_MODES] = {
DC_PRED, H_PRED, V_PRED, SMOOTH_PRED, PAETH_PRED,
SMOOTH_V_PRED, SMOOTH_H_PRED, D135_PRED, D203_PRED, D157_PRED,
D67_PRED, D113_PRED, D45_PRED,
};
static const UV_PREDICTION_MODE uv_rd_search_mode_order[UV_INTRA_MODES] = {
UV_DC_PRED, UV_CFL_PRED, UV_H_PRED, UV_V_PRED,
UV_SMOOTH_PRED, UV_PAETH_PRED, UV_SMOOTH_V_PRED, UV_SMOOTH_H_PRED,
UV_D135_PRED, UV_D203_PRED, UV_D157_PRED, UV_D67_PRED,
UV_D113_PRED, UV_D45_PRED,
};
// The bitmask corresponds to the filter intra modes as defined in enums.h
// FILTER_INTRA_MODE enumeration type. Setting a bit to 0 in the mask means to
// disable the evaluation of corresponding filter intra mode. The table
// av1_derived_filter_intra_mode_used_flag is used when speed feature
// prune_filter_intra_level is 1. The evaluated filter intra modes are union
// of the following:
// 1) FILTER_DC_PRED
// 2) mode that corresponds to best mode so far of DC_PRED, V_PRED, H_PRED,
// D157_PRED and PAETH_PRED. (Eg: FILTER_V_PRED if best mode so far is V_PRED).
static const uint8_t av1_derived_filter_intra_mode_used_flag[INTRA_MODES] = {
0x01, // DC_PRED: 0000 0001
0x03, // V_PRED: 0000 0011
0x05, // H_PRED: 0000 0101
0x01, // D45_PRED: 0000 0001
0x01, // D135_PRED: 0000 0001
0x01, // D113_PRED: 0000 0001
0x09, // D157_PRED: 0000 1001
0x01, // D203_PRED: 0000 0001
0x01, // D67_PRED: 0000 0001
0x01, // SMOOTH_PRED: 0000 0001
0x01, // SMOOTH_V_PRED: 0000 0001
0x01, // SMOOTH_H_PRED: 0000 0001
0x11 // PAETH_PRED: 0001 0001
};
// The bitmask corresponds to the chroma intra modes as defined in enums.h
// UV_PREDICTION_MODE enumeration type. Setting a bit to 0 in the mask means to
// disable the evaluation of corresponding chroma intra mode. The table
// av1_derived_chroma_intra_mode_used_flag is used when speed feature
// prune_chroma_modes_using_luma_winner is enabled. The evaluated chroma
// intra modes are union of the following:
// 1) UV_DC_PRED
// 2) UV_SMOOTH_PRED
// 3) UV_CFL_PRED
// 4) mode that corresponds to luma intra mode winner (Eg : UV_V_PRED if luma
// intra mode winner is V_PRED).
static const uint16_t av1_derived_chroma_intra_mode_used_flag[INTRA_MODES] = {
0x2201, // DC_PRED: 0010 0010 0000 0001
0x2203, // V_PRED: 0010 0010 0000 0011
0x2205, // H_PRED: 0010 0010 0000 0101
0x2209, // D45_PRED: 0010 0010 0000 1001
0x2211, // D135_PRED: 0010 0010 0001 0001
0x2221, // D113_PRED: 0010 0010 0010 0001
0x2241, // D157_PRED: 0010 0010 0100 0001
0x2281, // D203_PRED: 0010 0010 1000 0001
0x2301, // D67_PRED: 0010 0011 0000 0001
0x2201, // SMOOTH_PRED: 0010 0010 0000 0001
0x2601, // SMOOTH_V_PRED: 0010 0110 0000 0001
0x2a01, // SMOOTH_H_PRED: 0010 1010 0000 0001
0x3201 // PAETH_PRED: 0011 0010 0000 0001
};
DECLARE_ALIGNED(16, static const uint8_t, all_zeros[MAX_SB_SIZE]) = { 0 };
DECLARE_ALIGNED(16, static const uint16_t,
highbd_all_zeros[MAX_SB_SIZE]) = { 0 };
int av1_calc_normalized_variance(aom_variance_fn_t vf, const uint8_t *const buf,
const int stride, const int is_hbd) {
unsigned int sse;
if (is_hbd)
return vf(buf, stride, CONVERT_TO_BYTEPTR(highbd_all_zeros), 0, &sse);
else
return vf(buf, stride, all_zeros, 0, &sse);
}
// Computes average of log(1 + variance) across 4x4 sub-blocks for source and
// reconstructed blocks.
static void compute_avg_log_variance(const AV1_COMP *const cpi, MACROBLOCK *x,
const BLOCK_SIZE bs,
double *avg_log_src_variance,
double *avg_log_recon_variance) {
const MACROBLOCKD *const xd = &x->e_mbd;
const BLOCK_SIZE sb_size = cpi->common.seq_params->sb_size;
const int mi_row_in_sb = x->e_mbd.mi_row & (mi_size_high[sb_size] - 1);
const int mi_col_in_sb = x->e_mbd.mi_col & (mi_size_wide[sb_size] - 1);
const int right_overflow =
(xd->mb_to_right_edge < 0) ? ((-xd->mb_to_right_edge) >> 3) : 0;
const int bottom_overflow =
(xd->mb_to_bottom_edge < 0) ? ((-xd->mb_to_bottom_edge) >> 3) : 0;
const int bw = (MI_SIZE * mi_size_wide[bs] - right_overflow);
const int bh = (MI_SIZE * mi_size_high[bs] - bottom_overflow);
const int is_hbd = is_cur_buf_hbd(xd);
for (int i = 0; i < bh; i += MI_SIZE) {
const int r = mi_row_in_sb + (i >> MI_SIZE_LOG2);
for (int j = 0; j < bw; j += MI_SIZE) {
const int c = mi_col_in_sb + (j >> MI_SIZE_LOG2);
const int mi_offset = r * mi_size_wide[sb_size] + c;
Block4x4VarInfo *block_4x4_var_info =
&x->src_var_info_of_4x4_sub_blocks[mi_offset];
int src_var = block_4x4_var_info->var;
double log_src_var = block_4x4_var_info->log_var;
// Compute average of log(1 + variance) for the source block from 4x4
// sub-block variance values. Calculate and store 4x4 sub-block variance
// and log(1 + variance), if the values present in
// src_var_of_4x4_sub_blocks are invalid. Reuse the same if it is readily
// available with valid values.
if (src_var < 0) {
src_var = av1_calc_normalized_variance(
cpi->ppi->fn_ptr[BLOCK_4X4].vf,
x->plane[0].src.buf + i * x->plane[0].src.stride + j,
x->plane[0].src.stride, is_hbd);
block_4x4_var_info->var = src_var;
log_src_var = log(1.0 + src_var / 16.0);
block_4x4_var_info->log_var = log_src_var;
} else {
// When source variance is already calculated and available for
// retrieval, check if log(1 + variance) is also available. If it is
// available, then retrieve from buffer. Else, calculate the same and
// store to the buffer.
if (log_src_var < 0) {
log_src_var = log(1.0 + src_var / 16.0);
block_4x4_var_info->log_var = log_src_var;
}
}
*avg_log_src_variance += log_src_var;
const int recon_var = av1_calc_normalized_variance(
cpi->ppi->fn_ptr[BLOCK_4X4].vf,
xd->plane[0].dst.buf + i * xd->plane[0].dst.stride + j,
xd->plane[0].dst.stride, is_hbd);
*avg_log_recon_variance += log(1.0 + recon_var / 16.0);
}
}
const int blocks = (bw * bh) / 16;
*avg_log_src_variance /= (double)blocks;
*avg_log_recon_variance /= (double)blocks;
}
// Returns a factor to be applied to the RD value based on how well the
// reconstructed block variance matches the source variance.
static double intra_rd_variance_factor(const AV1_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE bs) {
double threshold = INTRA_RD_VAR_THRESH(cpi->oxcf.speed);
// For non-positive threshold values, the comparison of source and
// reconstructed variances with threshold evaluates to false
// (src_var < threshold/rec_var < threshold) as these metrics are greater than
// than 0. Hence further calculations are skipped.
if (threshold <= 0) return 1.0;
double variance_rd_factor = 1.0;
double avg_log_src_variance = 0.0;
double avg_log_recon_variance = 0.0;
double var_diff = 0.0;
compute_avg_log_variance(cpi, x, bs, &avg_log_src_variance,
&avg_log_recon_variance);
// Dont allow 0 to prevent / 0 below.
avg_log_src_variance += 0.000001;
avg_log_recon_variance += 0.000001;
if (avg_log_src_variance >= avg_log_recon_variance) {
var_diff = (avg_log_src_variance - avg_log_recon_variance);
if ((var_diff > 0.5) && (avg_log_recon_variance < threshold)) {
variance_rd_factor = 1.0 + ((var_diff * 2) / avg_log_src_variance);
}
} else {
var_diff = (avg_log_recon_variance - avg_log_src_variance);
if ((var_diff > 0.5) && (avg_log_src_variance < threshold)) {
variance_rd_factor = 1.0 + (var_diff / (2 * avg_log_src_variance));
}
}
// Limit adjustment;
variance_rd_factor = AOMMIN(3.0, variance_rd_factor);
return variance_rd_factor;
}
/*!\endcond */
/*!\brief Search for the best filter_intra mode when coding intra frame.
*
* \ingroup intra_mode_search
* \callergraph
* This function loops through all filter_intra modes to find the best one.
*
* \return Returns 1 if a new filter_intra mode is selected; 0 otherwise.
*/
static int rd_pick_filter_intra_sby(const AV1_COMP *const cpi, MACROBLOCK *x,
int *rate, int *rate_tokenonly,
int64_t *distortion, int *skippable,
BLOCK_SIZE bsize, int mode_cost,
PREDICTION_MODE best_mode_so_far,
int64_t *best_rd, int64_t *best_model_rd,
PICK_MODE_CONTEXT *ctx) {
// Skip the evaluation of filter intra modes.
if (cpi->sf.intra_sf.prune_filter_intra_level == 2) return 0;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *mbmi = xd->mi[0];
int filter_intra_selected_flag = 0;
FILTER_INTRA_MODE mode;
TX_SIZE best_tx_size = TX_8X8;
FILTER_INTRA_MODE_INFO filter_intra_mode_info;
uint8_t best_tx_type_map[MAX_MIB_SIZE * MAX_MIB_SIZE];
av1_zero(filter_intra_mode_info);
mbmi->filter_intra_mode_info.use_filter_intra = 1;
mbmi->mode = DC_PRED;
mbmi->palette_mode_info.palette_size[0] = 0;
// Skip the evaluation of filter-intra if cached MB_MODE_INFO does not have
// filter-intra as winner.
if (x->use_mb_mode_cache &&
!x->mb_mode_cache->filter_intra_mode_info.use_filter_intra)
return 0;
for (mode = 0; mode < FILTER_INTRA_MODES; ++mode) {
int64_t this_rd;
RD_STATS tokenonly_rd_stats;
mbmi->filter_intra_mode_info.filter_intra_mode = mode;
if ((cpi->sf.intra_sf.prune_filter_intra_level == 1) &&
!(av1_derived_filter_intra_mode_used_flag[best_mode_so_far] &
(1 << mode)))
continue;
// Skip the evaluation of modes that do not match with the winner mode in
// x->mb_mode_cache.
if (x->use_mb_mode_cache &&
mode != x->mb_mode_cache->filter_intra_mode_info.filter_intra_mode)
continue;
if (model_intra_yrd_and_prune(cpi, x, bsize, best_model_rd)) {
continue;
}
av1_pick_uniform_tx_size_type_yrd(cpi, x, &tokenonly_rd_stats, bsize,
*best_rd);
if (tokenonly_rd_stats.rate == INT_MAX) continue;
const int this_rate =
tokenonly_rd_stats.rate +
intra_mode_info_cost_y(cpi, x, mbmi, bsize, mode_cost, 0);
this_rd = RDCOST(x->rdmult, this_rate, tokenonly_rd_stats.dist);
// Visual quality adjustment based on recon vs source variance.
if ((cpi->oxcf.mode == ALLINTRA) && (this_rd != INT64_MAX)) {
this_rd = (int64_t)(this_rd * intra_rd_variance_factor(cpi, x, bsize));
}
// Collect mode stats for multiwinner mode processing
const int txfm_search_done = 1;
store_winner_mode_stats(
&cpi->common, x, mbmi, NULL, NULL, NULL, 0, NULL, bsize, this_rd,
cpi->sf.winner_mode_sf.multi_winner_mode_type, txfm_search_done);
if (this_rd < *best_rd) {
*best_rd = this_rd;
best_tx_size = mbmi->tx_size;
filter_intra_mode_info = mbmi->filter_intra_mode_info;
av1_copy_array(best_tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
memcpy(ctx->blk_skip, x->txfm_search_info.blk_skip,
sizeof(x->txfm_search_info.blk_skip[0]) * ctx->num_4x4_blk);
*rate = this_rate;
*rate_tokenonly = tokenonly_rd_stats.rate;
*distortion = tokenonly_rd_stats.dist;
*skippable = tokenonly_rd_stats.skip_txfm;
filter_intra_selected_flag = 1;
}
}
if (filter_intra_selected_flag) {
mbmi->mode = DC_PRED;
mbmi->tx_size = best_tx_size;
mbmi->filter_intra_mode_info = filter_intra_mode_info;
av1_copy_array(ctx->tx_type_map, best_tx_type_map, ctx->num_4x4_blk);
return 1;
} else {
return 0;
}
}
void av1_count_colors(const uint8_t *src, int stride, int rows, int cols,
int *val_count, int *num_colors) {
const int max_pix_val = 1 << 8;
memset(val_count, 0, max_pix_val * sizeof(val_count[0]));
for (int r = 0; r < rows; ++r) {
for (int c = 0; c < cols; ++c) {
const int this_val = src[r * stride + c];
assert(this_val < max_pix_val);
++val_count[this_val];
}
}
int n = 0;
for (int i = 0; i < max_pix_val; ++i) {
if (val_count[i]) ++n;
}
*num_colors = n;
}
void av1_count_colors_highbd(const uint8_t *src8, int stride, int rows,
int cols, int bit_depth, int *val_count,
int *bin_val_count, int *num_color_bins,
int *num_colors) {
assert(bit_depth <= 12);
const int max_bin_val = 1 << 8;
const int max_pix_val = 1 << bit_depth;
const uint16_t *src = CONVERT_TO_SHORTPTR(src8);
memset(bin_val_count, 0, max_bin_val * sizeof(val_count[0]));
if (val_count != NULL)
memset(val_count, 0, max_pix_val * sizeof(val_count[0]));
for (int r = 0; r < rows; ++r) {
for (int c = 0; c < cols; ++c) {
/*
* Down-convert the pixels to 8-bit domain before counting.
* This provides consistency of behavior for palette search
* between lbd and hbd encodes. This down-converted pixels
* are only used for calculating the threshold (n).
*/
const int this_val = ((src[r * stride + c]) >> (bit_depth - 8));
assert(this_val < max_bin_val);
if (this_val >= max_bin_val) continue;
++bin_val_count[this_val];
if (val_count != NULL) ++val_count[(src[r * stride + c])];
}
}
int n = 0;
// Count the colors based on 8-bit domain used to gate the palette path
for (int i = 0; i < max_bin_val; ++i) {
if (bin_val_count[i]) ++n;
}
*num_color_bins = n;
// Count the actual hbd colors used to create top_colors
n = 0;
if (val_count != NULL) {
for (int i = 0; i < max_pix_val; ++i) {
if (val_count[i]) ++n;
}
*num_colors = n;
}
}
void set_y_mode_and_delta_angle(const int mode_idx, MB_MODE_INFO *const mbmi,
int reorder_delta_angle_eval) {
if (mode_idx < INTRA_MODE_END) {
mbmi->mode = intra_rd_search_mode_order[mode_idx];
mbmi->angle_delta[PLANE_TYPE_Y] = 0;
} else {
mbmi->mode = (mode_idx - INTRA_MODE_END) / (MAX_ANGLE_DELTA * 2) + V_PRED;
int delta_angle_eval_idx =
(mode_idx - INTRA_MODE_END) % (MAX_ANGLE_DELTA * 2);
if (reorder_delta_angle_eval) {
mbmi->angle_delta[PLANE_TYPE_Y] =
luma_delta_angles_order[delta_angle_eval_idx];
} else {
mbmi->angle_delta[PLANE_TYPE_Y] =
(delta_angle_eval_idx < 3 ? (delta_angle_eval_idx - 3)
: (delta_angle_eval_idx - 2));
}
}
}
static AOM_INLINE int get_model_rd_index_for_pruning(
const MACROBLOCK *const x,
const INTRA_MODE_SPEED_FEATURES *const intra_sf) {
const int top_intra_model_count_allowed =
intra_sf->top_intra_model_count_allowed;
if (!intra_sf->adapt_top_model_rd_count_using_neighbors)
return top_intra_model_count_allowed - 1;
const MACROBLOCKD *const xd = &x->e_mbd;
const PREDICTION_MODE mode = xd->mi[0]->mode;
int model_rd_index_for_pruning = top_intra_model_count_allowed - 1;
int is_left_mode_neq_cur_mode = 0, is_above_mode_neq_cur_mode = 0;
if (xd->left_available)
is_left_mode_neq_cur_mode = xd->left_mbmi->mode != mode;
if (xd->up_available)
is_above_mode_neq_cur_mode = xd->above_mbmi->mode != mode;
// The pruning of luma intra modes is made more aggressive at lower quantizers
// and vice versa. The value for model_rd_index_for_pruning is derived as
// follows.
// qidx 0 to 127: Reduce the index of a candidate used for comparison only if
// the current mode does not match either of the available neighboring modes.
// qidx 128 to 255: Reduce the index of a candidate used for comparison only
// if the current mode does not match both the available neighboring modes.
if (x->qindex <= 127) {
if (is_left_mode_neq_cur_mode || is_above_mode_neq_cur_mode)
model_rd_index_for_pruning = AOMMAX(model_rd_index_for_pruning - 1, 0);
} else {
if (is_left_mode_neq_cur_mode && is_above_mode_neq_cur_mode)
model_rd_index_for_pruning = AOMMAX(model_rd_index_for_pruning - 1, 0);
}
return model_rd_index_for_pruning;
}
int prune_intra_y_mode(int64_t this_model_rd, int64_t *best_model_rd,
int64_t top_intra_model_rd[], int max_model_cnt_allowed,
int model_rd_index_for_pruning) {
const double thresh_best = 1.50;
const double thresh_top = 1.00;
for (int i = 0; i < max_model_cnt_allowed; i++) {
if (this_model_rd < top_intra_model_rd[i]) {
for (int j = max_model_cnt_allowed - 1; j > i; j--) {
top_intra_model_rd[j] = top_intra_model_rd[j - 1];
}
top_intra_model_rd[i] = this_model_rd;
break;
}
}
if (top_intra_model_rd[model_rd_index_for_pruning] != INT64_MAX &&
this_model_rd >
thresh_top * top_intra_model_rd[model_rd_index_for_pruning])
return 1;
if (this_model_rd != INT64_MAX &&
this_model_rd > thresh_best * (*best_model_rd))
return 1;
if (this_model_rd < *best_model_rd) *best_model_rd = this_model_rd;
return 0;
}
// Run RD calculation with given chroma intra prediction angle., and return
// the RD cost. Update the best mode info. if the RD cost is the best so far.
static int64_t pick_intra_angle_routine_sbuv(
const AV1_COMP *const cpi, MACROBLOCK *x, BLOCK_SIZE bsize,
int rate_overhead, int64_t best_rd_in, int *rate, RD_STATS *rd_stats,
int *best_angle_delta, int64_t *best_rd) {
MB_MODE_INFO *mbmi = x->e_mbd.mi[0];
assert(!is_inter_block(mbmi));
int this_rate;
int64_t this_rd;
RD_STATS tokenonly_rd_stats;
if (!av1_txfm_uvrd(cpi, x, &tokenonly_rd_stats, bsize, best_rd_in))
return INT64_MAX;
this_rate = tokenonly_rd_stats.rate +
intra_mode_info_cost_uv(cpi, x, mbmi, bsize, rate_overhead);
this_rd = RDCOST(x->rdmult, this_rate, tokenonly_rd_stats.dist);
if (this_rd < *best_rd) {
*best_rd = this_rd;
*best_angle_delta = mbmi->angle_delta[PLANE_TYPE_UV];
*rate = this_rate;
rd_stats->rate = tokenonly_rd_stats.rate;
rd_stats->dist = tokenonly_rd_stats.dist;
rd_stats->skip_txfm = tokenonly_rd_stats.skip_txfm;
}
return this_rd;
}
/*!\brief Search for the best angle delta for chroma prediction
*
* \ingroup intra_mode_search
* \callergraph
* Given a chroma directional intra prediction mode, this function will try to
* estimate the best delta_angle.
*
* \returns Return if there is a new mode with smaller rdcost than best_rd.
*/
static int rd_pick_intra_angle_sbuv(const AV1_COMP *const cpi, MACROBLOCK *x,
BLOCK_SIZE bsize, int rate_overhead,
int64_t best_rd, int *rate,
RD_STATS *rd_stats) {
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *mbmi = xd->mi[0];
assert(!is_inter_block(mbmi));
int i, angle_delta, best_angle_delta = 0;
int64_t this_rd, best_rd_in, rd_cost[2 * (MAX_ANGLE_DELTA + 2)];
rd_stats->rate = INT_MAX;
rd_stats->skip_txfm = 0;
rd_stats->dist = INT64_MAX;
for (i = 0; i < 2 * (MAX_ANGLE_DELTA + 2); ++i) rd_cost[i] = INT64_MAX;
for (angle_delta = 0; angle_delta <= MAX_ANGLE_DELTA; angle_delta += 2) {
for (i = 0; i < 2; ++i) {
best_rd_in = (best_rd == INT64_MAX)
? INT64_MAX
: (best_rd + (best_rd >> ((angle_delta == 0) ? 3 : 5)));
mbmi->angle_delta[PLANE_TYPE_UV] = (1 - 2 * i) * angle_delta;
this_rd = pick_intra_angle_routine_sbuv(cpi, x, bsize, rate_overhead,
best_rd_in, rate, rd_stats,
&best_angle_delta, &best_rd);
rd_cost[2 * angle_delta + i] = this_rd;
if (angle_delta == 0) {
if (this_rd == INT64_MAX) return 0;
rd_cost[1] = this_rd;
break;
}
}
}
assert(best_rd != INT64_MAX);
for (angle_delta = 1; angle_delta <= MAX_ANGLE_DELTA; angle_delta += 2) {
int64_t rd_thresh;
for (i = 0; i < 2; ++i) {
int skip_search = 0;
rd_thresh = best_rd + (best_rd >> 5);
if (rd_cost[2 * (angle_delta + 1) + i] > rd_thresh &&
rd_cost[2 * (angle_delta - 1) + i] > rd_thresh)
skip_search = 1;
if (!skip_search) {
mbmi->angle_delta[PLANE_TYPE_UV] = (1 - 2 * i) * angle_delta;
pick_intra_angle_routine_sbuv(cpi, x, bsize, rate_overhead, best_rd,
rate, rd_stats, &best_angle_delta,
&best_rd);
}
}
}
mbmi->angle_delta[PLANE_TYPE_UV] = best_angle_delta;
return rd_stats->rate != INT_MAX;
}
#define PLANE_SIGN_TO_JOINT_SIGN(plane, a, b) \
(plane == CFL_PRED_U ? a * CFL_SIGNS + b - 1 : b * CFL_SIGNS + a - 1)
static void cfl_idx_to_sign_and_alpha(int cfl_idx, CFL_SIGN_TYPE *cfl_sign,
int *cfl_alpha) {
int cfl_linear_idx = cfl_idx - CFL_INDEX_ZERO;
if (cfl_linear_idx == 0) {
*cfl_sign = CFL_SIGN_ZERO;
*cfl_alpha = 0;
} else {
*cfl_sign = cfl_linear_idx > 0 ? CFL_SIGN_POS : CFL_SIGN_NEG;
*cfl_alpha = abs(cfl_linear_idx) - 1;
}
}
static int64_t cfl_compute_rd(const AV1_COMP *const cpi, MACROBLOCK *x,
int plane, TX_SIZE tx_size,
BLOCK_SIZE plane_bsize, int cfl_idx,
int fast_mode, RD_STATS *rd_stats) {
assert(IMPLIES(fast_mode, rd_stats == NULL));
const AV1_COMMON *const cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
int cfl_plane = get_cfl_pred_type(plane);
CFL_SIGN_TYPE cfl_sign;
int cfl_alpha;
cfl_idx_to_sign_and_alpha(cfl_idx, &cfl_sign, &cfl_alpha);
// We conly build CFL for a given plane, the other plane's sign is dummy
int dummy_sign = CFL_SIGN_NEG;
const int8_t orig_cfl_alpha_signs = mbmi->cfl_alpha_signs;
const uint8_t orig_cfl_alpha_idx = mbmi->cfl_alpha_idx;
mbmi->cfl_alpha_signs =
PLANE_SIGN_TO_JOINT_SIGN(cfl_plane, cfl_sign, dummy_sign);
mbmi->cfl_alpha_idx = (cfl_alpha << CFL_ALPHABET_SIZE_LOG2) + cfl_alpha;
int64_t cfl_cost;
if (fast_mode) {
cfl_cost =
intra_model_rd(cm, x, plane, plane_bsize, tx_size, /*use_hadamard=*/0);
} else {
av1_init_rd_stats(rd_stats);
av1_txfm_rd_in_plane(x, cpi, rd_stats, INT64_MAX, 0, plane, plane_bsize,
tx_size, FTXS_NONE, 0);
av1_rd_cost_update(x->rdmult, rd_stats);
cfl_cost = rd_stats->rdcost;
}
mbmi->cfl_alpha_signs = orig_cfl_alpha_signs;
mbmi->cfl_alpha_idx = orig_cfl_alpha_idx;
return cfl_cost;
}
static const int cfl_dir_ls[2] = { 1, -1 };
// If cfl_search_range is CFL_MAGS_SIZE, return zero. Otherwise return the index
// of the best alpha found using intra_model_rd().
static int cfl_pick_plane_parameter(const AV1_COMP *const cpi, MACROBLOCK *x,
int plane, TX_SIZE tx_size,
int cfl_search_range) {
assert(cfl_search_range >= 1 && cfl_search_range <= CFL_MAGS_SIZE);
if (cfl_search_range == CFL_MAGS_SIZE) return CFL_INDEX_ZERO;
const MACROBLOCKD *const xd = &x->e_mbd;
const MB_MODE_INFO *const mbmi = xd->mi[0];
assert(mbmi->uv_mode == UV_CFL_PRED);
const MACROBLOCKD_PLANE *pd = &xd->plane[plane];
const BLOCK_SIZE plane_bsize =
get_plane_block_size(mbmi->bsize, pd->subsampling_x, pd->subsampling_y);
int est_best_cfl_idx = CFL_INDEX_ZERO;
int fast_mode = 1;
int start_cfl_idx = CFL_INDEX_ZERO;
int64_t best_cfl_cost = cfl_compute_rd(cpi, x, plane, tx_size, plane_bsize,
start_cfl_idx, fast_mode, NULL);
for (int si = 0; si < 2; ++si) {
const int dir = cfl_dir_ls[si];
for (int i = 1; i < CFL_MAGS_SIZE; ++i) {
int cfl_idx = start_cfl_idx + dir * i;
if (cfl_idx < 0 || cfl_idx >= CFL_MAGS_SIZE) break;
int64_t cfl_cost = cfl_compute_rd(cpi, x, plane, tx_size, plane_bsize,
cfl_idx, fast_mode, NULL);
if (cfl_cost < best_cfl_cost) {
best_cfl_cost = cfl_cost;
est_best_cfl_idx = cfl_idx;
} else {
break;
}
}
}
return est_best_cfl_idx;
}
static void cfl_pick_plane_rd(const AV1_COMP *const cpi, MACROBLOCK *x,
int plane, TX_SIZE tx_size, int cfl_search_range,
RD_STATS cfl_rd_arr[CFL_MAGS_SIZE],
int est_best_cfl_idx) {
assert(cfl_search_range >= 1 && cfl_search_range <= CFL_MAGS_SIZE);
const MACROBLOCKD *const xd = &x->e_mbd;
const MB_MODE_INFO *const mbmi = xd->mi[0];
assert(mbmi->uv_mode == UV_CFL_PRED);
const MACROBLOCKD_PLANE *pd = &xd->plane[plane];
const BLOCK_SIZE plane_bsize =
get_plane_block_size(mbmi->bsize, pd->subsampling_x, pd->subsampling_y);
for (int cfl_idx = 0; cfl_idx < CFL_MAGS_SIZE; ++cfl_idx) {
av1_invalid_rd_stats(&cfl_rd_arr[cfl_idx]);
}
int fast_mode = 0;
int start_cfl_idx = est_best_cfl_idx;
cfl_compute_rd(cpi, x, plane, tx_size, plane_bsize, start_cfl_idx, fast_mode,
&cfl_rd_arr[start_cfl_idx]);
if (cfl_search_range == 1) return;
for (int si = 0; si < 2; ++si) {
const int dir = cfl_dir_ls[si];
for (int i = 1; i < cfl_search_range; ++i) {
int cfl_idx = start_cfl_idx + dir * i;
if (cfl_idx < 0 || cfl_idx >= CFL_MAGS_SIZE) break;
cfl_compute_rd(cpi, x, plane, tx_size, plane_bsize, cfl_idx, fast_mode,
&cfl_rd_arr[cfl_idx]);
}
}
}
/*!\brief Pick the optimal parameters for Chroma to Luma (CFL) component
*
* \ingroup intra_mode_search
* \callergraph
*
* This function will use DCT_DCT followed by computing SATD (sum of absolute
* transformed differences) to estimate the RD score and find the best possible
* CFL parameter.
*
* Then the function will apply a full RD search near the best possible CFL
* parameter to find the best actual CFL parameter.
*
* Side effect:
* We use ths buffers in x->plane[] and xd->plane[] as throw-away buffers for RD
* search.
*
* \param[in] x Encoder prediction block structure.
* \param[in] cpi Top-level encoder instance structure.
* \param[in] tx_size Transform size.
* \param[in] ref_best_rd Reference best RD.
* \param[in] cfl_search_range The search range of full RD search near the
* estimated best CFL parameter.
*
* \param[out] best_rd_stats RD stats of the best CFL parameter
* \param[out] best_cfl_alpha_idx Best CFL alpha index
* \param[out] best_cfl_alpha_signs Best CFL joint signs
*
*/
static int cfl_rd_pick_alpha(MACROBLOCK *const x, const AV1_COMP *const cpi,
TX_SIZE tx_size, int64_t ref_best_rd,
int cfl_search_range, RD_STATS *best_rd_stats,
uint8_t *best_cfl_alpha_idx,
int8_t *best_cfl_alpha_signs) {
assert(cfl_search_range >= 1 && cfl_search_range <= CFL_MAGS_SIZE);
const ModeCosts *mode_costs = &x->mode_costs;
RD_STATS cfl_rd_arr_u[CFL_MAGS_SIZE];
RD_STATS cfl_rd_arr_v[CFL_MAGS_SIZE];
MACROBLOCKD *const xd = &x->e_mbd;
int est_best_cfl_idx_u, est_best_cfl_idx_v;
av1_invalid_rd_stats(best_rd_stats);
// As the dc pred data is same for different values of alpha, enable the
// caching of dc pred data.
xd->cfl.use_dc_pred_cache = 1;
// Evaluate alpha parameter of each chroma plane.
est_best_cfl_idx_u =
cfl_pick_plane_parameter(cpi, x, 1, tx_size, cfl_search_range);
est_best_cfl_idx_v =
cfl_pick_plane_parameter(cpi, x, 2, tx_size, cfl_search_range);
// For cfl_search_range=1, further refinement of alpha is not enabled. Hence
// CfL index=0 for both the chroma planes implies invalid CfL mode.
if (cfl_search_range == 1 && est_best_cfl_idx_u == CFL_INDEX_ZERO &&
est_best_cfl_idx_v == CFL_INDEX_ZERO) {
// Set invalid CfL parameters here as CfL mode is invalid.
*best_cfl_alpha_idx = 0;
*best_cfl_alpha_signs = 0;
// Clear the following flags to avoid the unintentional usage of cached dc
// pred data.
xd->cfl.use_dc_pred_cache = 0;
xd->cfl.dc_pred_is_cached[0] = 0;
xd->cfl.dc_pred_is_cached[1] = 0;
return 0;
}
// Compute the rd cost of each chroma plane using the alpha parameters which
// were already evaluated.
cfl_pick_plane_rd(cpi, x, 1, tx_size, cfl_search_range, cfl_rd_arr_u,
est_best_cfl_idx_u);
cfl_pick_plane_rd(cpi, x, 2, tx_size, cfl_search_range, cfl_rd_arr_v,
est_best_cfl_idx_v);
// Clear the following flags to avoid the unintentional usage of cached dc
// pred data.
xd->cfl.use_dc_pred_cache = 0;
xd->cfl.dc_pred_is_cached[0] = 0;
xd->cfl.dc_pred_is_cached[1] = 0;
for (int ui = 0; ui < CFL_MAGS_SIZE; ++ui) {
if (cfl_rd_arr_u[ui].rate == INT_MAX) continue;
int cfl_alpha_u;
CFL_SIGN_TYPE cfl_sign_u;
cfl_idx_to_sign_and_alpha(ui, &cfl_sign_u, &cfl_alpha_u);
for (int vi = 0; vi < CFL_MAGS_SIZE; ++vi) {
if (cfl_rd_arr_v[vi].rate == INT_MAX) continue;
int cfl_alpha_v;
CFL_SIGN_TYPE cfl_sign_v;
cfl_idx_to_sign_and_alpha(vi, &cfl_sign_v, &cfl_alpha_v);
// cfl_sign_u == CFL_SIGN_ZERO && cfl_sign_v == CFL_SIGN_ZERO is not a
// valid parameter for CFL
if (cfl_sign_u == CFL_SIGN_ZERO && cfl_sign_v == CFL_SIGN_ZERO) continue;
int joint_sign = cfl_sign_u * CFL_SIGNS + cfl_sign_v - 1;
RD_STATS rd_stats = cfl_rd_arr_u[ui];
av1_merge_rd_stats(&rd_stats, &cfl_rd_arr_v[vi]);
if (rd_stats.rate != INT_MAX) {
rd_stats.rate +=
mode_costs->cfl_cost[joint_sign][CFL_PRED_U][cfl_alpha_u];
rd_stats.rate +=
mode_costs->cfl_cost[joint_sign][CFL_PRED_V][cfl_alpha_v];
}
av1_rd_cost_update(x->rdmult, &rd_stats);
if (rd_stats.rdcost < best_rd_stats->rdcost) {
*best_rd_stats = rd_stats;
*best_cfl_alpha_idx =
(cfl_alpha_u << CFL_ALPHABET_SIZE_LOG2) + cfl_alpha_v;
*best_cfl_alpha_signs = joint_sign;
}
}
}
if (best_rd_stats->rdcost >= ref_best_rd) {
av1_invalid_rd_stats(best_rd_stats);
// Set invalid CFL parameters here since the rdcost is not better than
// ref_best_rd.
*best_cfl_alpha_idx = 0;
*best_cfl_alpha_signs = 0;
return 0;
}
return 1;
}
static bool should_prune_chroma_smooth_pred_based_on_source_variance(
const AV1_COMP *cpi, const MACROBLOCK *x, BLOCK_SIZE bsize) {
if (!cpi->sf.intra_sf.prune_smooth_intra_mode_for_chroma) return false;
// If the source variance of both chroma planes is less than 20 (empirically
// derived), prune UV_SMOOTH_PRED.
for (int i = AOM_PLANE_U; i < av1_num_planes(&cpi->common); i++) {
const unsigned int variance = av1_get_perpixel_variance_facade(
cpi, &x->e_mbd, &x->plane[i].src, bsize, i);
if (variance >= 20) return false;
}
return true;
}
int64_t av1_rd_pick_intra_sbuv_mode(const AV1_COMP *const cpi, MACROBLOCK *x,
int *rate, int *rate_tokenonly,
int64_t *distortion, int *skippable,
BLOCK_SIZE bsize, TX_SIZE max_tx_size) {
const AV1_COMMON *const cm = &cpi->common;
MACROBLOCKD *xd = &x->e_mbd;
MB_MODE_INFO *mbmi = xd->mi[0];
assert(!is_inter_block(mbmi));
MB_MODE_INFO best_mbmi = *mbmi;
int64_t best_rd = INT64_MAX, this_rd;
const ModeCosts *mode_costs = &x->mode_costs;
const IntraModeCfg *const intra_mode_cfg = &cpi->oxcf.intra_mode_cfg;
init_sbuv_mode(mbmi);
// Return if the current block does not correspond to a chroma block.
if (!xd->is_chroma_ref) {
*rate = 0;
*rate_tokenonly = 0;
*distortion = 0;
*skippable = 1;
return INT64_MAX;
}
// Only store reconstructed luma when there's chroma RDO. When there's no
// chroma RDO, the reconstructed luma will be stored in encode_superblock().
xd->cfl.store_y = store_cfl_required_rdo(cm, x);
if (xd->cfl.store_y) {
// Restore reconstructed luma values.
// TODO(chiyotsai@google.com): right now we are re-computing the txfm in
// this function everytime we search through uv modes. There is some
// potential speed up here if we cache the result to avoid redundant
// computation.
av1_encode_intra_block_plane(cpi, x, mbmi->bsize, AOM_PLANE_Y,
DRY_RUN_NORMAL,
cpi->optimize_seg_arr[mbmi->segment_id]);
xd->cfl.store_y = 0;
}
IntraModeSearchState intra_search_state;
init_intra_mode_search_state(&intra_search_state);
// Search through all non-palette modes.
for (int mode_idx = 0; mode_idx < UV_INTRA_MODES; ++mode_idx) {
int this_rate;
RD_STATS tokenonly_rd_stats;
UV_PREDICTION_MODE mode = uv_rd_search_mode_order[mode_idx];
const int is_diagonal_mode = av1_is_diagonal_mode(get_uv_mode(mode));
const int is_directional_mode = av1_is_directional_mode(get_uv_mode(mode));
if (is_diagonal_mode && !cpi->oxcf.intra_mode_cfg.enable_diagonal_intra)
continue;
if (is_directional_mode &&
!cpi->oxcf.intra_mode_cfg.enable_directional_intra)
continue;
if (!(cpi->sf.intra_sf.intra_uv_mode_mask[txsize_sqr_up_map[max_tx_size]] &
(1 << mode)))
continue;
if (!intra_mode_cfg->enable_smooth_intra && mode >= UV_SMOOTH_PRED &&
mode <= UV_SMOOTH_H_PRED)
continue;
if (!intra_mode_cfg->enable_paeth_intra && mode == UV_PAETH_PRED) continue;
assert(mbmi->mode < INTRA_MODES);
if (cpi->sf.intra_sf.prune_chroma_modes_using_luma_winner &&
!(av1_derived_chroma_intra_mode_used_flag[mbmi->mode] & (1 << mode)))
continue;
mbmi->uv_mode = mode;
// Init variables for cfl and angle delta
const SPEED_FEATURES *sf = &cpi->sf;
mbmi->angle_delta[PLANE_TYPE_UV] = 0;
if (mode == UV_CFL_PRED) {
if (!is_cfl_allowed(xd) || !intra_mode_cfg->enable_cfl_intra) continue;
assert(!is_directional_mode);
const TX_SIZE uv_tx_size = av1_get_tx_size(AOM_PLANE_U, xd);
if (!cfl_rd_pick_alpha(x, cpi, uv_tx_size, best_rd,
sf->intra_sf.cfl_search_range, &tokenonly_rd_stats,
&mbmi->cfl_alpha_idx, &mbmi->cfl_alpha_signs)) {
continue;
}
} else if (is_directional_mode && av1_use_angle_delta(mbmi->bsize) &&
intra_mode_cfg->enable_angle_delta) {
if (sf->intra_sf.chroma_intra_pruning_with_hog &&
!intra_search_state.dir_mode_skip_mask_ready) {
static const float thresh[2][4] = {
{ -1.2f, 0.0f, 0.0f, 1.2f }, // Interframe
{ -1.2f, -1.2f, -0.6f, 0.4f }, // Intraframe
};
const int is_chroma = 1;
const int is_intra_frame = frame_is_intra_only(cm);
prune_intra_mode_with_hog(
x, bsize, cm->seq_params->sb_size,
thresh[is_intra_frame]
[sf->intra_sf.chroma_intra_pruning_with_hog - 1],
intra_search_state.directional_mode_skip_mask, is_chroma);
intra_search_state.dir_mode_skip_mask_ready = 1;
}
if (intra_search_state.directional_mode_skip_mask[mode]) {
continue;
}
// Search through angle delta
const int rate_overhead =
mode_costs->intra_uv_mode_cost[is_cfl_allowed(xd)][mbmi->mode][mode];
if (!rd_pick_intra_angle_sbuv(cpi, x, bsize, rate_overhead, best_rd,
&this_rate, &tokenonly_rd_stats))
continue;
} else {
if (mode == UV_SMOOTH_PRED &&
should_prune_chroma_smooth_pred_based_on_source_variance(cpi, x,
bsize))
continue;
// Predict directly if we don't need to search for angle delta.
if (!av1_txfm_uvrd(cpi, x, &tokenonly_rd_stats, bsize, best_rd)) {
continue;
}
}
const int mode_cost =
mode_costs->intra_uv_mode_cost[is_cfl_allowed(xd)][mbmi->mode][mode];
this_rate = tokenonly_rd_stats.rate +
intra_mode_info_cost_uv(cpi, x, mbmi, bsize, mode_cost);
this_rd = RDCOST(x->rdmult, this_rate, tokenonly_rd_stats.dist);
if (this_rd < best_rd) {
best_mbmi = *mbmi;
best_rd = this_rd;
*rate = this_rate;
*rate_tokenonly = tokenonly_rd_stats.rate;
*distortion = tokenonly_rd_stats.dist;
*skippable = tokenonly_rd_stats.skip_txfm;
}
}
// Search palette mode
const int try_palette =
cpi->oxcf.tool_cfg.enable_palette &&
av1_allow_palette(cpi->common.features.allow_screen_content_tools,
mbmi->bsize);
if (try_palette) {
uint8_t *best_palette_color_map = x->palette_buffer->best_palette_color_map;
av1_rd_pick_palette_intra_sbuv(
cpi, x,
mode_costs
->intra_uv_mode_cost[is_cfl_allowed(xd)][mbmi->mode][UV_DC_PRED],
best_palette_color_map, &best_mbmi, &best_rd, rate, rate_tokenonly,
distortion, skippable);
}
*mbmi = best_mbmi;
// Make sure we actually chose a mode
assert(best_rd < INT64_MAX);
return best_rd;
}
// Searches palette mode for luma channel in inter frame.
int av1_search_palette_mode(IntraModeSearchState *intra_search_state,
const AV1_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE bsize, unsigned int ref_frame_cost,
PICK_MODE_CONTEXT *ctx, RD_STATS *this_rd_cost,
int64_t best_rd) {
const AV1_COMMON *const cm = &cpi->common;
MB_MODE_INFO *const mbmi = x->e_mbd.mi[0];
PALETTE_MODE_INFO *const pmi = &mbmi->palette_mode_info;
const int num_planes = av1_num_planes(cm);
MACROBLOCKD *const xd = &x->e_mbd;
int rate2 = 0;
int64_t distortion2 = 0, best_rd_palette = best_rd, this_rd;
int skippable = 0;
uint8_t *const best_palette_color_map =
x->palette_buffer->best_palette_color_map;
uint8_t *const color_map = xd->plane[0].color_index_map;
MB_MODE_INFO best_mbmi_palette = *mbmi;
uint8_t best_blk_skip[MAX_MIB_SIZE * MAX_MIB_SIZE];
uint8_t best_tx_type_map[MAX_MIB_SIZE * MAX_MIB_SIZE];
const ModeCosts *mode_costs = &x->mode_costs;
const int *const intra_mode_cost =
mode_costs->mbmode_cost[size_group_lookup[bsize]];
const int rows = block_size_high[bsize];
const int cols = block_size_wide[bsize];
mbmi->mode = DC_PRED;
mbmi->uv_mode = UV_DC_PRED;
mbmi->ref_frame[0] = INTRA_FRAME;
mbmi->ref_frame[1] = NONE_FRAME;
av1_zero(pmi->palette_size);
RD_STATS rd_stats_y;
av1_invalid_rd_stats(&rd_stats_y);
av1_rd_pick_palette_intra_sby(cpi, x, bsize, intra_mode_cost[DC_PRED],
&best_mbmi_palette, best_palette_color_map,
&best_rd_palette, &rd_stats_y.rate, NULL,
&rd_stats_y.dist, &rd_stats_y.skip_txfm, NULL,
ctx, best_blk_skip, best_tx_type_map);
if (rd_stats_y.rate == INT_MAX || pmi->palette_size[0] == 0) {
this_rd_cost->rdcost = INT64_MAX;
return skippable;
}
memcpy(x->txfm_search_info.blk_skip, best_blk_skip,
sizeof(best_blk_skip[0]) * bsize_to_num_blk(bsize));
av1_copy_array(xd->tx_type_map, best_tx_type_map, ctx->num_4x4_blk);
memcpy(color_map, best_palette_color_map,
rows * cols * sizeof(best_palette_color_map[0]));
skippable = rd_stats_y.skip_txfm;
distortion2 = rd_stats_y.dist;
rate2 = rd_stats_y.rate + ref_frame_cost;
if (num_planes > 1) {
if (intra_search_state->rate_uv_intra == INT_MAX) {
// We have not found any good uv mode yet, so we need to search for it.
TX_SIZE uv_tx = av1_get_tx_size(AOM_PLANE_U, xd);
av1_rd_pick_intra_sbuv_mode(cpi, x, &intra_search_state->rate_uv_intra,
&intra_search_state->rate_uv_tokenonly,
&intra_search_state->dist_uvs,
&intra_search_state->skip_uvs, bsize, uv_tx);
intra_search_state->mode_uv = mbmi->uv_mode;
intra_search_state->pmi_uv = *pmi;
intra_search_state->uv_angle_delta = mbmi->angle_delta[PLANE_TYPE_UV];
}
// We have found at least one good uv mode before, so copy and paste it
// over.
mbmi->uv_mode = intra_search_state->mode_uv;
pmi->palette_size[1] = intra_search_state->pmi_uv.palette_size[1];
if (pmi->palette_size[1] > 0) {
memcpy(pmi->palette_colors + PALETTE_MAX_SIZE,
intra_search_state->pmi_uv.palette_colors + PALETTE_MAX_SIZE,
2 * PALETTE_MAX_SIZE * sizeof(pmi->palette_colors[0]));
}
mbmi->angle_delta[PLANE_TYPE_UV] = intra_search_state->uv_angle_delta;
skippable = skippable && intra_search_state->skip_uvs;
distortion2 += intra_search_state->dist_uvs;
rate2 += intra_search_state->rate_uv_intra;
}
if (skippable) {
rate2 -= rd_stats_y.rate;
if (num_planes > 1) rate2 -= intra_search_state->rate_uv_tokenonly;
rate2 += mode_costs->skip_txfm_cost[av1_get_skip_txfm_context(xd)][1];
} else {
rate2 += mode_costs->skip_txfm_cost[av1_get_skip_txfm_context(xd)][0];
}
this_rd = RDCOST(x->rdmult, rate2, distortion2);
this_rd_cost->rate = rate2;
this_rd_cost->dist = distortion2;
this_rd_cost->rdcost = this_rd;
return skippable;
}
void av1_search_palette_mode_luma(const AV1_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE bsize, unsigned int ref_frame_cost,
PICK_MODE_CONTEXT *ctx,
RD_STATS *this_rd_cost, int64_t best_rd) {
MB_MODE_INFO *const mbmi = x->e_mbd.mi[0];
PALETTE_MODE_INFO *const pmi = &mbmi->palette_mode_info;
MACROBLOCKD *const xd = &x->e_mbd;
int64_t best_rd_palette = best_rd, this_rd;
uint8_t *const best_palette_color_map =
x->palette_buffer->best_palette_color_map;
uint8_t *const color_map = xd->plane[0].color_index_map;
MB_MODE_INFO best_mbmi_palette = *mbmi;
uint8_t best_blk_skip[MAX_MIB_SIZE * MAX_MIB_SIZE];
uint8_t best_tx_type_map[MAX_MIB_SIZE * MAX_MIB_SIZE];
const ModeCosts *mode_costs = &x->mode_costs;
const int *const intra_mode_cost =
mode_costs->mbmode_cost[size_group_lookup[bsize]];
const int rows = block_size_high[bsize];
const int cols = block_size_wide[bsize];
mbmi->mode = DC_PRED;
mbmi->uv_mode = UV_DC_PRED;
mbmi->ref_frame[0] = INTRA_FRAME;
mbmi->ref_frame[1] = NONE_FRAME;
av1_zero(pmi->palette_size);
RD_STATS rd_stats_y;
av1_invalid_rd_stats(&rd_stats_y);
av1_rd_pick_palette_intra_sby(cpi, x, bsize, intra_mode_cost[DC_PRED],
&best_mbmi_palette, best_palette_color_map,
&best_rd_palette, &rd_stats_y.rate, NULL,
&rd_stats_y.dist, &rd_stats_y.skip_txfm, NULL,
ctx, best_blk_skip, best_tx_type_map);
if (rd_stats_y.rate == INT_MAX || pmi->palette_size[0] == 0) {
this_rd_cost->rdcost = INT64_MAX;
return;
}
memcpy(x->txfm_search_info.blk_skip, best_blk_skip,
sizeof(best_blk_skip[0]) * bsize_to_num_blk(bsize));
av1_copy_array(xd->tx_type_map, best_tx_type_map, ctx->num_4x4_blk);
memcpy(color_map, best_palette_color_map,
rows * cols * sizeof(best_palette_color_map[0]));
rd_stats_y.rate += ref_frame_cost;
if (rd_stats_y.skip_txfm) {
rd_stats_y.rate =
ref_frame_cost +
mode_costs->skip_txfm_cost[av1_get_skip_txfm_context(xd)][1];
} else {
rd_stats_y.rate +=
mode_costs->skip_txfm_cost[av1_get_skip_txfm_context(xd)][0];
}
this_rd = RDCOST(x->rdmult, rd_stats_y.rate, rd_stats_y.dist);
this_rd_cost->rate = rd_stats_y.rate;
this_rd_cost->dist = rd_stats_y.dist;
this_rd_cost->rdcost = this_rd;
this_rd_cost->skip_txfm = rd_stats_y.skip_txfm;
}
/*!\brief Get the intra prediction by searching through tx_type and tx_size.
*
* \ingroup intra_mode_search
* \callergraph
* Currently this function is only used in the intra frame code path for
* winner-mode processing.
*
* \return Returns whether the current mode is an improvement over best_rd.
*/
static AOM_INLINE int intra_block_yrd(const AV1_COMP *const cpi, MACROBLOCK *x,
BLOCK_SIZE bsize, const int *bmode_costs,
int64_t *best_rd, int *rate,
int *rate_tokenonly, int64_t *distortion,
int *skippable, MB_MODE_INFO *best_mbmi,
PICK_MODE_CONTEXT *ctx) {
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
RD_STATS rd_stats;
// In order to improve txfm search avoid rd based breakouts during winner
// mode evaluation. Hence passing ref_best_rd as a maximum value
av1_pick_uniform_tx_size_type_yrd(cpi, x, &rd_stats, bsize, INT64_MAX);
if (rd_stats.rate == INT_MAX) return 0;
int this_rate_tokenonly = rd_stats.rate;
if (!xd->lossless[mbmi->segment_id] && block_signals_txsize(mbmi->bsize)) {
// av1_pick_uniform_tx_size_type_yrd above includes the cost of the tx_size
// in the tokenonly rate, but for intra blocks, tx_size is always coded
// (prediction granularity), so we account for it in the full rate,
// not the tokenonly rate.
this_rate_tokenonly -= tx_size_cost(x, bsize, mbmi->tx_size);
}
const int this_rate =
rd_stats.rate +
intra_mode_info_cost_y(cpi, x, mbmi, bsize, bmode_costs[mbmi->mode], 0);
const int64_t this_rd = RDCOST(x->rdmult, this_rate, rd_stats.dist);
if (this_rd < *best_rd) {
*best_mbmi = *mbmi;
*best_rd = this_rd;
*rate = this_rate;
*rate_tokenonly = this_rate_tokenonly;
*distortion = rd_stats.dist;
*skippable = rd_stats.skip_txfm;
av1_copy_array(ctx->blk_skip, x->txfm_search_info.blk_skip,
ctx->num_4x4_blk);
av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
return 1;
}
return 0;
}
/*!\brief Search for the best filter_intra mode when coding inter frame.
*
* \ingroup intra_mode_search
* \callergraph
* This function loops through all filter_intra modes to find the best one.
*
* \return Returns nothing, but updates the mbmi and rd_stats.
*/
static INLINE void handle_filter_intra_mode(const AV1_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE bsize,
const PICK_MODE_CONTEXT *ctx,
RD_STATS *rd_stats_y, int mode_cost,
int64_t best_rd,
int64_t best_rd_so_far) {
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
assert(mbmi->mode == DC_PRED &&
av1_filter_intra_allowed_bsize(&cpi->common, bsize));
RD_STATS rd_stats_y_fi;
int filter_intra_selected_flag = 0;
TX_SIZE best_tx_size = mbmi->tx_size;
FILTER_INTRA_MODE best_fi_mode = FILTER_DC_PRED;
uint8_t best_blk_skip[MAX_MIB_SIZE * MAX_MIB_SIZE];
memcpy(best_blk_skip, x->txfm_search_info.blk_skip,
sizeof(best_blk_skip[0]) * ctx->num_4x4_blk);
uint8_t best_tx_type_map[MAX_MIB_SIZE * MAX_MIB_SIZE];
av1_copy_array(best_tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
mbmi->filter_intra_mode_info.use_filter_intra = 1;
for (FILTER_INTRA_MODE fi_mode = FILTER_DC_PRED; fi_mode < FILTER_INTRA_MODES;
++fi_mode) {
mbmi->filter_intra_mode_info.filter_intra_mode = fi_mode;
av1_pick_uniform_tx_size_type_yrd(cpi, x, &rd_stats_y_fi, bsize, best_rd);
if (rd_stats_y_fi.rate == INT_MAX) continue;
const int this_rate_tmp =
rd_stats_y_fi.rate +
intra_mode_info_cost_y(cpi, x, mbmi, bsize, mode_cost, 0);
const int64_t this_rd_tmp =
RDCOST(x->rdmult, this_rate_tmp, rd_stats_y_fi.dist);
if (this_rd_tmp != INT64_MAX && this_rd_tmp / 2 > best_rd) {
break;
}
if (this_rd_tmp < best_rd_so_far) {
best_tx_size = mbmi->tx_size;
av1_copy_array(best_tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
memcpy(best_blk_skip, x->txfm_search_info.blk_skip,
sizeof(best_blk_skip[0]) * ctx->num_4x4_blk);
best_fi_mode = fi_mode;
*rd_stats_y = rd_stats_y_fi;
filter_intra_selected_flag = 1;
best_rd_so_far = this_rd_tmp;
}
}
mbmi->tx_size = best_tx_size;
av1_copy_array(xd->tx_type_map, best_tx_type_map, ctx->num_4x4_blk);
memcpy(x->txfm_search_info.blk_skip, best_blk_skip,
sizeof(x->txfm_search_info.blk_skip[0]) * ctx->num_4x4_blk);
if (filter_intra_selected_flag) {
mbmi->filter_intra_mode_info.use_filter_intra = 1;
mbmi->filter_intra_mode_info.filter_intra_mode = best_fi_mode;
} else {
mbmi->filter_intra_mode_info.use_filter_intra = 0;
}
}
// Evaluate a given luma intra-mode in inter frames.
int av1_handle_intra_y_mode(IntraModeSearchState *intra_search_state,
const AV1_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE bsize, unsigned int ref_frame_cost,
const PICK_MODE_CONTEXT *ctx, RD_STATS *rd_stats_y,
int64_t best_rd, int *mode_cost_y, int64_t *rd_y,
int64_t *best_model_rd,
int64_t top_intra_model_rd[]) {
const AV1_COMMON *cm = &cpi->common;
const INTRA_MODE_SPEED_FEATURES *const intra_sf = &cpi->sf.intra_sf;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
assert(mbmi->ref_frame[0] == INTRA_FRAME);
const PREDICTION_MODE mode = mbmi->mode;
const ModeCosts *mode_costs = &x->mode_costs;
const int mode_cost =
mode_costs->mbmode_cost[size_group_lookup[bsize]][mode] + ref_frame_cost;
const int skip_ctx = av1_get_skip_txfm_context(xd);
int known_rate = mode_cost;
const int intra_cost_penalty = av1_get_intra_cost_penalty(
cm->quant_params.base_qindex, cm->quant_params.y_dc_delta_q,
cm->seq_params->bit_depth);
if (mode != DC_PRED && mode != PAETH_PRED) known_rate += intra_cost_penalty;
known_rate += AOMMIN(mode_costs->skip_txfm_cost[skip_ctx][0],
mode_costs->skip_txfm_cost[skip_ctx][1]);
const int64_t known_rd = RDCOST(x->rdmult, known_rate, 0);
if (known_rd > best_rd) {
intra_search_state->skip_intra_modes = 1;
return 0;
}
const int is_directional_mode = av1_is_directional_mode(mode);
if (is_directional_mode && av1_use_angle_delta(bsize) &&
cpi->oxcf.intra_mode_cfg.enable_angle_delta) {
if (intra_sf->intra_pruning_with_hog &&
!intra_search_state->dir_mode_skip_mask_ready) {
const float thresh[4] = { -1.2f, 0.0f, 0.0f, 1.2f };
const int is_chroma = 0;
prune_intra_mode_with_hog(x, bsize, cm->seq_params->sb_size,
thresh[intra_sf->intra_pruning_with_hog - 1],
intra_search_state->directional_mode_skip_mask,
is_chroma);
intra_search_state->dir_mode_skip_mask_ready = 1;
}
if (intra_search_state->directional_mode_skip_mask[mode]) return 0;
}
const TX_SIZE tx_size = AOMMIN(TX_32X32, max_txsize_lookup[bsize]);
const int64_t this_model_rd =
intra_model_rd(&cpi->common, x, 0, bsize, tx_size, /*use_hadamard=*/1);
const int model_rd_index_for_pruning =
get_model_rd_index_for_pruning(x, intra_sf);
if (prune_intra_y_mode(this_model_rd, best_model_rd, top_intra_model_rd,
intra_sf->top_intra_model_count_allowed,
model_rd_index_for_pruning))
return 0;
av1_init_rd_stats(rd_stats_y);
av1_pick_uniform_tx_size_type_yrd(cpi, x, rd_stats_y, bsize, best_rd);
// Pick filter intra modes.
if (mode == DC_PRED && av1_filter_intra_allowed_bsize(cm, bsize)) {
int try_filter_intra = 1;
int64_t best_rd_so_far = INT64_MAX;
if (rd_stats_y->rate != INT_MAX) {
// best_rd_so_far is the rdcost of DC_PRED without using filter_intra.
// Later, in filter intra search, best_rd_so_far is used for comparison.
mbmi->filter_intra_mode_info.use_filter_intra = 0;
const int tmp_rate =
rd_stats_y->rate +
intra_mode_info_cost_y(cpi, x, mbmi, bsize, mode_cost, 0);
best_rd_so_far = RDCOST(x->rdmult, tmp_rate, rd_stats_y->dist);
try_filter_intra = (best_rd_so_far / 2) <= best_rd;
} else if (intra_sf->skip_filter_intra_in_inter_frames >= 1) {
// As rd cost of luma intra dc mode is more than best_rd (i.e.,
// rd_stats_y->rate = INT_MAX), skip the evaluation of filter intra modes.
try_filter_intra = 0;
}
if (try_filter_intra) {
handle_filter_intra_mode(cpi, x, bsize, ctx, rd_stats_y, mode_cost,
best_rd, best_rd_so_far);
}
}
if (rd_stats_y->rate == INT_MAX) return 0;
*mode_cost_y = intra_mode_info_cost_y(cpi, x, mbmi, bsize, mode_cost, 0);
const int rate_y = rd_stats_y->skip_txfm
? mode_costs->skip_txfm_cost[skip_ctx][1]
: rd_stats_y->rate;
*rd_y = RDCOST(x->rdmult, rate_y + *mode_cost_y, rd_stats_y->dist);
if (best_rd < (INT64_MAX / 2) && *rd_y > (best_rd + (best_rd >> 2))) {
intra_search_state->skip_intra_modes = 1;
return 0;
}
return 1;
}
int av1_search_intra_uv_modes_in_interframe(
IntraModeSearchState *intra_search_state, const AV1_COMP *cpi,
MACROBLOCK *x, BLOCK_SIZE bsize, RD_STATS *rd_stats,
const RD_STATS *rd_stats_y, RD_STATS *rd_stats_uv, int64_t best_rd) {
const AV1_COMMON *cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
assert(mbmi->ref_frame[0] == INTRA_FRAME);
// TODO(chiyotsai@google.com): Consolidate the chroma search code here with
// the one in av1_search_palette_mode.
PALETTE_MODE_INFO *const pmi = &mbmi->palette_mode_info;
const int try_palette =
cpi->oxcf.tool_cfg.enable_palette &&
av1_allow_palette(cm->features.allow_screen_content_tools, mbmi->bsize);
assert(intra_search_state->rate_uv_intra == INT_MAX);
if (intra_search_state->rate_uv_intra == INT_MAX) {
// If no good uv-predictor had been found, search for it.
const TX_SIZE uv_tx = av1_get_tx_size(AOM_PLANE_U, xd);
av1_rd_pick_intra_sbuv_mode(cpi, x, &intra_search_state->rate_uv_intra,
&intra_search_state->rate_uv_tokenonly,
&intra_search_state->dist_uvs,
&intra_search_state->skip_uvs, bsize, uv_tx);
intra_search_state->mode_uv = mbmi->uv_mode;
if (try_palette) intra_search_state->pmi_uv = *pmi;
intra_search_state->uv_angle_delta = mbmi->angle_delta[PLANE_TYPE_UV];
const int uv_rate = intra_search_state->rate_uv_tokenonly;
const int64_t uv_dist = intra_search_state->dist_uvs;
const int64_t uv_rd = RDCOST(x->rdmult, uv_rate, uv_dist);
if (uv_rd > best_rd) {
// If there is no good intra uv-mode available, we can skip all intra
// modes.
intra_search_state->skip_intra_modes = 1;
return 0;
}
}
// If we are here, then the encoder has found at least one good intra uv
// predictor, so we can directly copy its statistics over.
// TODO(any): the stats here is not right if the best uv mode is CFL but the
// best y mode is palette.
rd_stats_uv->rate = intra_search_state->rate_uv_tokenonly;
rd_stats_uv->dist = intra_search_state->dist_uvs;
rd_stats_uv->skip_txfm = intra_search_state->skip_uvs;
rd_stats->skip_txfm = rd_stats_y->skip_txfm && rd_stats_uv->skip_txfm;
mbmi->uv_mode = intra_search_state->mode_uv;
if (try_palette) {
pmi->palette_size[1] = intra_search_state->pmi_uv.palette_size[1];
memcpy(pmi->palette_colors + PALETTE_MAX_SIZE,
intra_search_state->pmi_uv.palette_colors + PALETTE_MAX_SIZE,
2 * PALETTE_MAX_SIZE * sizeof(pmi->palette_colors[0]));
}
mbmi->angle_delta[PLANE_TYPE_UV] = intra_search_state->uv_angle_delta;
return 1;
}
// Checks if odd delta angles can be pruned based on rdcosts of even delta
// angles of the corresponding directional mode.
static AOM_INLINE int prune_luma_odd_delta_angles_using_rd_cost(
const MB_MODE_INFO *const mbmi, const int64_t *const intra_modes_rd_cost,
int64_t best_rd, int prune_luma_odd_delta_angles_in_intra) {
const int luma_delta_angle = mbmi->angle_delta[PLANE_TYPE_Y];
if (!prune_luma_odd_delta_angles_in_intra ||
!av1_is_directional_mode(mbmi->mode) || !(abs(luma_delta_angle) & 1) ||
best_rd == INT64_MAX)
return 0;
const int64_t rd_thresh = best_rd + (best_rd >> 3);
// Neighbour rdcosts are considered for pruning of odd delta angles as
// mentioned below:
// Delta angle Delta angle rdcost
// to be pruned to be considered
// -3 -2
// -1 -2, 0
// 1 0, 2
// 3 2
return intra_modes_rd_cost[luma_delta_angle + MAX_ANGLE_DELTA] > rd_thresh &&
intra_modes_rd_cost[luma_delta_angle + MAX_ANGLE_DELTA + 2] >
rd_thresh;
}
// Finds the best non-intrabc mode on an intra frame.
int64_t av1_rd_pick_intra_sby_mode(const AV1_COMP *const cpi, MACROBLOCK *x,
int *rate, int *rate_tokenonly,
int64_t *distortion, int *skippable,
BLOCK_SIZE bsize, int64_t best_rd,
PICK_MODE_CONTEXT *ctx) {
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
assert(!is_inter_block(mbmi));
int64_t best_model_rd = INT64_MAX;
int is_directional_mode;
uint8_t directional_mode_skip_mask[INTRA_MODES] = { 0 };
// Flag to check rd of any intra mode is better than best_rd passed to this
// function
int beat_best_rd = 0;
const int *bmode_costs;
const IntraModeCfg *const intra_mode_cfg = &cpi->oxcf.intra_mode_cfg;
PALETTE_MODE_INFO *const pmi = &mbmi->palette_mode_info;
const int try_palette =
cpi->oxcf.tool_cfg.enable_palette &&
av1_allow_palette(cpi->common.features.allow_screen_content_tools,
mbmi->bsize);
uint8_t *best_palette_color_map =
try_palette ? x->palette_buffer->best_palette_color_map : NULL;
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];
bmode_costs = x->mode_costs.y_mode_costs[above_ctx][left_ctx];
mbmi->angle_delta[PLANE_TYPE_Y] = 0;
const INTRA_MODE_SPEED_FEATURES *const intra_sf = &cpi->sf.intra_sf;
if (intra_sf->intra_pruning_with_hog) {
// Less aggressive thresholds are used here than those used in inter frame
// encoding in av1_handle_intra_y_mode() because we want key frames/intra
// frames to have higher quality.
const float thresh[4] = { -1.2f, -1.2f, -0.6f, 0.4f };
const int is_chroma = 0;
prune_intra_mode_with_hog(x, bsize, cpi->common.seq_params->sb_size,
thresh[intra_sf->intra_pruning_with_hog - 1],
directional_mode_skip_mask, is_chroma);
}
mbmi->filter_intra_mode_info.use_filter_intra = 0;
pmi->palette_size[0] = 0;
// Set params for mode evaluation
set_mode_eval_params(cpi, x, MODE_EVAL);
MB_MODE_INFO best_mbmi = *mbmi;
const int max_winner_mode_count =
winner_mode_count_allowed[cpi->sf.winner_mode_sf.multi_winner_mode_type];
zero_winner_mode_stats(bsize, max_winner_mode_count, x->winner_mode_stats);
x->winner_mode_count = 0;
// Searches the intra-modes except for intrabc, palette, and filter_intra.
int64_t top_intra_model_rd[TOP_INTRA_MODEL_COUNT];
for (int i = 0; i < TOP_INTRA_MODEL_COUNT; i++) {
top_intra_model_rd[i] = INT64_MAX;
}
// Initialize the rdcost corresponding to all the directional and
// non-directional intra modes.
// 1. For directional modes, it stores the rdcost values for delta angles -4,
// -3, ..., 3, 4.
// 2. The rdcost value for luma_delta_angle is stored at index
// luma_delta_angle + MAX_ANGLE_DELTA + 1.
// 3. The rdcost values for fictitious/nonexistent luma_delta_angle -4 and 4
// (array indices 0 and 8) are always set to INT64_MAX (the initial value).
int64_t intra_modes_rd_cost[INTRA_MODE_END]
[SIZE_OF_ANGLE_DELTA_RD_COST_ARRAY];
for (int i = 0; i < INTRA_MODE_END; i++) {
for (int j = 0; j < SIZE_OF_ANGLE_DELTA_RD_COST_ARRAY; j++) {
intra_modes_rd_cost[i][j] = INT64_MAX;
}
}
for (int mode_idx = INTRA_MODE_START; mode_idx < LUMA_MODE_COUNT;
++mode_idx) {
set_y_mode_and_delta_angle(mode_idx, mbmi,
intra_sf->prune_luma_odd_delta_angles_in_intra);
RD_STATS this_rd_stats;
int this_rate, this_rate_tokenonly, s;
int is_diagonal_mode;
int64_t this_distortion, this_rd;
const int luma_delta_angle = mbmi->angle_delta[PLANE_TYPE_Y];
is_diagonal_mode = av1_is_diagonal_mode(mbmi->mode);
if (is_diagonal_mode && !intra_mode_cfg->enable_diagonal_intra) continue;
if (av1_is_directional_mode(mbmi->mode) &&
!intra_mode_cfg->enable_directional_intra)
continue;
// The smooth prediction mode appears to be more frequently picked
// than horizontal / vertical smooth prediction modes. Hence treat
// them differently in speed features.
if ((!intra_mode_cfg->enable_smooth_intra ||
intra_sf->disable_smooth_intra) &&
(mbmi->mode == SMOOTH_H_PRED || mbmi->mode == SMOOTH_V_PRED))
continue;
if (!intra_mode_cfg->enable_smooth_intra && mbmi->mode == SMOOTH_PRED)
continue;
// The functionality of filter intra modes and smooth prediction
// overlap. Hence smooth prediction is pruned only if all the
// filter intra modes are enabled.
if (intra_sf->disable_smooth_intra &&
intra_sf->prune_filter_intra_level == 0 && mbmi->mode == SMOOTH_PRED)
continue;
if (!intra_mode_cfg->enable_paeth_intra && mbmi->mode == PAETH_PRED)
continue;
// Skip the evaluation of modes that do not match with the winner mode in
// x->mb_mode_cache.
if (x->use_mb_mode_cache && mbmi->mode != x->mb_mode_cache->mode) continue;
is_directional_mode = av1_is_directional_mode(mbmi->mode);
if (is_directional_mode && directional_mode_skip_mask[mbmi->mode]) continue;
if (is_directional_mode &&
!(av1_use_angle_delta(bsize) && intra_mode_cfg->enable_angle_delta) &&
luma_delta_angle != 0)
continue;
// Use intra_y_mode_mask speed feature to skip intra mode evaluation.
if (!(intra_sf->intra_y_mode_mask[max_txsize_lookup[bsize]] &
(1 << mbmi->mode)))
continue;
if (prune_luma_odd_delta_angles_using_rd_cost(
mbmi, intra_modes_rd_cost[mbmi->mode], best_rd,
intra_sf->prune_luma_odd_delta_angles_in_intra))
continue;
const TX_SIZE tx_size = AOMMIN(TX_32X32, max_txsize_lookup[bsize]);
const int64_t this_model_rd =
intra_model_rd(&cpi->common, x, 0, bsize, tx_size, /*use_hadamard=*/1);
const int model_rd_index_for_pruning =
get_model_rd_index_for_pruning(x, intra_sf);
if (prune_intra_y_mode(this_model_rd, &best_model_rd, top_intra_model_rd,
intra_sf->top_intra_model_count_allowed,
model_rd_index_for_pruning))
continue;
// Builds the actual prediction. The prediction from
// model_intra_yrd_and_prune was just an estimation that did not take into
// account the effect of txfm pipeline, so we need to redo it for real
// here.
av1_pick_uniform_tx_size_type_yrd(cpi, x, &this_rd_stats, bsize, best_rd);
this_rate_tokenonly = this_rd_stats.rate;
this_distortion = this_rd_stats.dist;
s = this_rd_stats.skip_txfm;
if (this_rate_tokenonly == INT_MAX) continue;
if (!xd->lossless[mbmi->segment_id] && block_signals_txsize(mbmi->bsize)) {
// av1_pick_uniform_tx_size_type_yrd above includes the cost of the
// tx_size in the tokenonly rate, but for intra blocks, tx_size is always
// coded (prediction granularity), so we account for it in the full rate,
// not the tokenonly rate.
this_rate_tokenonly -= tx_size_cost(x, bsize, mbmi->tx_size);
}
this_rate =
this_rd_stats.rate +
intra_mode_info_cost_y(cpi, x, mbmi, bsize, bmode_costs[mbmi->mode], 0);
this_rd = RDCOST(x->rdmult, this_rate, this_distortion);
// Visual quality adjustment based on recon vs source variance.
if ((cpi->oxcf.mode == ALLINTRA) && (this_rd != INT64_MAX)) {
this_rd = (int64_t)(this_rd * intra_rd_variance_factor(cpi, x, bsize));
}
intra_modes_rd_cost[mbmi->mode][luma_delta_angle + MAX_ANGLE_DELTA + 1] =
this_rd;
// Collect mode stats for multiwinner mode processing
const int txfm_search_done = 1;
store_winner_mode_stats(
&cpi->common, x, mbmi, NULL, NULL, NULL, 0, NULL, bsize, this_rd,
cpi->sf.winner_mode_sf.multi_winner_mode_type, txfm_search_done);
if (this_rd < best_rd) {
best_mbmi = *mbmi;
best_rd = this_rd;
// Setting beat_best_rd flag because current mode rd is better than
// best_rd passed to this function
beat_best_rd = 1;
*rate = this_rate;
*rate_tokenonly = this_rate_tokenonly;
*distortion = this_distortion;
*skippable = s;
memcpy(ctx->blk_skip, x->txfm_search_info.blk_skip,
sizeof(x->txfm_search_info.blk_skip[0]) * ctx->num_4x4_blk);
av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
}
}
// Searches palette
if (try_palette) {
av1_rd_pick_palette_intra_sby(
cpi, x, bsize, bmode_costs[DC_PRED], &best_mbmi, best_palette_color_map,
&best_rd, rate, rate_tokenonly, distortion, skippable, &beat_best_rd,
ctx, ctx->blk_skip, ctx->tx_type_map);
}
// Searches filter_intra
if (beat_best_rd && av1_filter_intra_allowed_bsize(&cpi->common, bsize)) {
if (rd_pick_filter_intra_sby(cpi, x, rate, rate_tokenonly, distortion,
skippable, bsize, bmode_costs[DC_PRED],
best_mbmi.mode, &best_rd, &best_model_rd,
ctx)) {
best_mbmi = *mbmi;
}
}
// No mode is identified with less rd value than best_rd passed to this
// function. In such cases winner mode processing is not necessary and return
// best_rd as INT64_MAX to indicate best mode is not identified
if (!beat_best_rd) return INT64_MAX;
// In multi-winner mode processing, perform tx search for few best modes
// identified during mode evaluation. Winner mode processing uses best tx
// configuration for tx search.
if (cpi->sf.winner_mode_sf.multi_winner_mode_type) {
int best_mode_idx = 0;
int block_width, block_height;
uint8_t *color_map_dst = xd->plane[PLANE_TYPE_Y].color_index_map;
av1_get_block_dimensions(bsize, AOM_PLANE_Y, xd, &block_width,
&block_height, NULL, NULL);
for (int mode_idx = 0; mode_idx < x->winner_mode_count; mode_idx++) {
*mbmi = x->winner_mode_stats[mode_idx].mbmi;
if (is_winner_mode_processing_enabled(cpi, x, mbmi, 0)) {
// Restore color_map of palette mode before winner mode processing
if (mbmi->palette_mode_info.palette_size[0] > 0) {
uint8_t *color_map_src =
x->winner_mode_stats[mode_idx].color_index_map;
memcpy(color_map_dst, color_map_src,
block_width * block_height * sizeof(*color_map_src));
}
// Set params for winner mode evaluation
set_mode_eval_params(cpi, x, WINNER_MODE_EVAL);
// Winner mode processing
// If previous searches use only the default tx type/no R-D optimization
// of quantized coeffs, do an extra search for the best tx type/better
// R-D optimization of quantized coeffs
if (intra_block_yrd(cpi, x, bsize, bmode_costs, &best_rd, rate,
rate_tokenonly, distortion, skippable, &best_mbmi,
ctx))
best_mode_idx = mode_idx;
}
}
// Copy color_map of palette mode for final winner mode
if (best_mbmi.palette_mode_info.palette_size[0] > 0) {
uint8_t *color_map_src =
x->winner_mode_stats[best_mode_idx].color_index_map;
memcpy(color_map_dst, color_map_src,
block_width * block_height * sizeof(*color_map_src));
}
} else {
// If previous searches use only the default tx type/no R-D optimization of
// quantized coeffs, do an extra search for the best tx type/better R-D
// optimization of quantized coeffs
if (is_winner_mode_processing_enabled(cpi, x, mbmi, 0)) {
// Set params for winner mode evaluation
set_mode_eval_params(cpi, x, WINNER_MODE_EVAL);
*mbmi = best_mbmi;
intra_block_yrd(cpi, x, bsize, bmode_costs, &best_rd, rate,
rate_tokenonly, distortion, skippable, &best_mbmi, ctx);
}
}
*mbmi = best_mbmi;
av1_copy_array(xd->tx_type_map, ctx->tx_type_map, ctx->num_4x4_blk);
return best_rd;
}