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aomedia / aom / 69263c19c710e5cc73c996d3e3e623f6b783261d / . / av1 / encoder / rdopt.c
blob: fcf40eb33a47659b38d0cd29f3acbbe3f600a56a [file] [log] [blame]
/*
* 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 <stdbool.h>
#include "config/aom_dsp_rtcd.h"
#include "config/av1_rtcd.h"
#include "aom_dsp/aom_dsp_common.h"
#include "aom_dsp/blend.h"
#include "aom_mem/aom_mem.h"
#include "aom_ports/aom_timer.h"
#include "aom_ports/mem.h"
#include "aom_ports/system_state.h"
#include "av1/common/cfl.h"
#include "av1/common/common.h"
#include "av1/common/common_data.h"
#include "av1/common/entropy.h"
#include "av1/common/entropymode.h"
#include "av1/common/idct.h"
#include "av1/common/mvref_common.h"
#include "av1/common/obmc.h"
#include "av1/common/onyxc_int.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/scan.h"
#include "av1/common/seg_common.h"
#include "av1/common/txb_common.h"
#include "av1/common/warped_motion.h"
#include "av1/encoder/aq_variance.h"
#include "av1/encoder/av1_quantize.h"
#include "av1/encoder/cost.h"
#include "av1/encoder/compound_type.h"
#include "av1/encoder/encodemb.h"
#include "av1/encoder/encodemv.h"
#include "av1/encoder/encoder.h"
#include "av1/encoder/encodetxb.h"
#include "av1/encoder/hybrid_fwd_txfm.h"
#include "av1/encoder/interp_search.h"
#include "av1/encoder/intra_mode_search.h"
#include "av1/encoder/mcomp.h"
#include "av1/encoder/ml.h"
#include "av1/encoder/mode_prune_model_weights.h"
#include "av1/encoder/model_rd.h"
#include "av1/encoder/motion_search_facade.h"
#include "av1/encoder/palette.h"
#include "av1/encoder/pustats.h"
#include "av1/encoder/random.h"
#include "av1/encoder/ratectrl.h"
#include "av1/encoder/rd.h"
#include "av1/encoder/rdopt.h"
#include "av1/encoder/reconinter_enc.h"
#include "av1/encoder/tokenize.h"
#include "av1/encoder/tpl_model.h"
#include "av1/encoder/tx_search.h"
#define LAST_NEW_MV_INDEX 6
static const THR_MODES av1_default_mode_order[MAX_MODES] = {
THR_NEARESTMV,
THR_NEARESTL2,
THR_NEARESTL3,
THR_NEARESTB,
THR_NEARESTA2,
THR_NEARESTA,
THR_NEARESTG,
THR_NEWMV,
THR_NEWL2,
THR_NEWL3,
THR_NEWB,
THR_NEWA2,
THR_NEWA,
THR_NEWG,
THR_NEARMV,
THR_NEARL2,
THR_NEARL3,
THR_NEARB,
THR_NEARA2,
THR_NEARA,
THR_NEARG,
THR_GLOBALMV,
THR_GLOBALL2,
THR_GLOBALL3,
THR_GLOBALB,
THR_GLOBALA2,
THR_GLOBALA,
THR_GLOBALG,
THR_COMP_NEAREST_NEARESTLA,
THR_COMP_NEAREST_NEARESTL2A,
THR_COMP_NEAREST_NEARESTL3A,
THR_COMP_NEAREST_NEARESTGA,
THR_COMP_NEAREST_NEARESTLB,
THR_COMP_NEAREST_NEARESTL2B,
THR_COMP_NEAREST_NEARESTL3B,
THR_COMP_NEAREST_NEARESTGB,
THR_COMP_NEAREST_NEARESTLA2,
THR_COMP_NEAREST_NEARESTL2A2,
THR_COMP_NEAREST_NEARESTL3A2,
THR_COMP_NEAREST_NEARESTGA2,
THR_COMP_NEAREST_NEARESTLL2,
THR_COMP_NEAREST_NEARESTLL3,
THR_COMP_NEAREST_NEARESTLG,
THR_COMP_NEAREST_NEARESTBA,
THR_COMP_NEAR_NEARLA,
THR_COMP_NEW_NEARESTLA,
THR_COMP_NEAREST_NEWLA,
THR_COMP_NEW_NEARLA,
THR_COMP_NEAR_NEWLA,
THR_COMP_NEW_NEWLA,
THR_COMP_GLOBAL_GLOBALLA,
THR_COMP_NEAR_NEARL2A,
THR_COMP_NEW_NEARESTL2A,
THR_COMP_NEAREST_NEWL2A,
THR_COMP_NEW_NEARL2A,
THR_COMP_NEAR_NEWL2A,
THR_COMP_NEW_NEWL2A,
THR_COMP_GLOBAL_GLOBALL2A,
THR_COMP_NEAR_NEARL3A,
THR_COMP_NEW_NEARESTL3A,
THR_COMP_NEAREST_NEWL3A,
THR_COMP_NEW_NEARL3A,
THR_COMP_NEAR_NEWL3A,
THR_COMP_NEW_NEWL3A,
THR_COMP_GLOBAL_GLOBALL3A,
THR_COMP_NEAR_NEARGA,
THR_COMP_NEW_NEARESTGA,
THR_COMP_NEAREST_NEWGA,
THR_COMP_NEW_NEARGA,
THR_COMP_NEAR_NEWGA,
THR_COMP_NEW_NEWGA,
THR_COMP_GLOBAL_GLOBALGA,
THR_COMP_NEAR_NEARLB,
THR_COMP_NEW_NEARESTLB,
THR_COMP_NEAREST_NEWLB,
THR_COMP_NEW_NEARLB,
THR_COMP_NEAR_NEWLB,
THR_COMP_NEW_NEWLB,
THR_COMP_GLOBAL_GLOBALLB,
THR_COMP_NEAR_NEARL2B,
THR_COMP_NEW_NEARESTL2B,
THR_COMP_NEAREST_NEWL2B,
THR_COMP_NEW_NEARL2B,
THR_COMP_NEAR_NEWL2B,
THR_COMP_NEW_NEWL2B,
THR_COMP_GLOBAL_GLOBALL2B,
THR_COMP_NEAR_NEARL3B,
THR_COMP_NEW_NEARESTL3B,
THR_COMP_NEAREST_NEWL3B,
THR_COMP_NEW_NEARL3B,
THR_COMP_NEAR_NEWL3B,
THR_COMP_NEW_NEWL3B,
THR_COMP_GLOBAL_GLOBALL3B,
THR_COMP_NEAR_NEARGB,
THR_COMP_NEW_NEARESTGB,
THR_COMP_NEAREST_NEWGB,
THR_COMP_NEW_NEARGB,
THR_COMP_NEAR_NEWGB,
THR_COMP_NEW_NEWGB,
THR_COMP_GLOBAL_GLOBALGB,
THR_COMP_NEAR_NEARLA2,
THR_COMP_NEW_NEARESTLA2,
THR_COMP_NEAREST_NEWLA2,
THR_COMP_NEW_NEARLA2,
THR_COMP_NEAR_NEWLA2,
THR_COMP_NEW_NEWLA2,
THR_COMP_GLOBAL_GLOBALLA2,
THR_COMP_NEAR_NEARL2A2,
THR_COMP_NEW_NEARESTL2A2,
THR_COMP_NEAREST_NEWL2A2,
THR_COMP_NEW_NEARL2A2,
THR_COMP_NEAR_NEWL2A2,
THR_COMP_NEW_NEWL2A2,
THR_COMP_GLOBAL_GLOBALL2A2,
THR_COMP_NEAR_NEARL3A2,
THR_COMP_NEW_NEARESTL3A2,
THR_COMP_NEAREST_NEWL3A2,
THR_COMP_NEW_NEARL3A2,
THR_COMP_NEAR_NEWL3A2,
THR_COMP_NEW_NEWL3A2,
THR_COMP_GLOBAL_GLOBALL3A2,
THR_COMP_NEAR_NEARGA2,
THR_COMP_NEW_NEARESTGA2,
THR_COMP_NEAREST_NEWGA2,
THR_COMP_NEW_NEARGA2,
THR_COMP_NEAR_NEWGA2,
THR_COMP_NEW_NEWGA2,
THR_COMP_GLOBAL_GLOBALGA2,
THR_COMP_NEAR_NEARLL2,
THR_COMP_NEW_NEARESTLL2,
THR_COMP_NEAREST_NEWLL2,
THR_COMP_NEW_NEARLL2,
THR_COMP_NEAR_NEWLL2,
THR_COMP_NEW_NEWLL2,
THR_COMP_GLOBAL_GLOBALLL2,
THR_COMP_NEAR_NEARLL3,
THR_COMP_NEW_NEARESTLL3,
THR_COMP_NEAREST_NEWLL3,
THR_COMP_NEW_NEARLL3,
THR_COMP_NEAR_NEWLL3,
THR_COMP_NEW_NEWLL3,
THR_COMP_GLOBAL_GLOBALLL3,
THR_COMP_NEAR_NEARLG,
THR_COMP_NEW_NEARESTLG,
THR_COMP_NEAREST_NEWLG,
THR_COMP_NEW_NEARLG,
THR_COMP_NEAR_NEWLG,
THR_COMP_NEW_NEWLG,
THR_COMP_GLOBAL_GLOBALLG,
THR_COMP_NEAR_NEARBA,
THR_COMP_NEW_NEARESTBA,
THR_COMP_NEAREST_NEWBA,
THR_COMP_NEW_NEARBA,
THR_COMP_NEAR_NEWBA,
THR_COMP_NEW_NEWBA,
THR_COMP_GLOBAL_GLOBALBA,
THR_DC,
THR_PAETH,
THR_SMOOTH,
THR_SMOOTH_V,
THR_SMOOTH_H,
THR_H_PRED,
THR_V_PRED,
THR_D135_PRED,
THR_D203_PRED,
THR_D157_PRED,
THR_D67_PRED,
THR_D113_PRED,
THR_D45_PRED,
};
static int find_last_single_ref_mode_idx(const THR_MODES *mode_order) {
uint8_t mode_found[NUM_SINGLE_REF_MODES];
av1_zero(mode_found);
int num_single_ref_modes_left = NUM_SINGLE_REF_MODES;
for (int idx = 0; idx < MAX_MODES; idx++) {
const THR_MODES curr_mode = mode_order[idx];
if (curr_mode < SINGLE_REF_MODE_END) {
num_single_ref_modes_left--;
}
if (!num_single_ref_modes_left) {
return idx;
}
}
return -1;
}
typedef struct SingleInterModeState {
int64_t rd;
MV_REFERENCE_FRAME ref_frame;
int valid;
} SingleInterModeState;
typedef struct InterModeSearchState {
int64_t best_rd;
MB_MODE_INFO best_mbmode;
int best_rate_y;
int best_rate_uv;
int best_mode_skippable;
int best_skip2;
THR_MODES best_mode_index;
int num_available_refs;
int64_t dist_refs[REF_FRAMES];
int dist_order_refs[REF_FRAMES];
int64_t mode_threshold[MAX_MODES];
int64_t best_intra_rd;
unsigned int best_pred_sse;
int64_t best_pred_diff[REFERENCE_MODES];
// Save a set of single_newmv for each checked ref_mv.
int_mv single_newmv[MAX_REF_MV_SEARCH][REF_FRAMES];
int single_newmv_rate[MAX_REF_MV_SEARCH][REF_FRAMES];
int single_newmv_valid[MAX_REF_MV_SEARCH][REF_FRAMES];
int64_t modelled_rd[MB_MODE_COUNT][MAX_REF_MV_SEARCH][REF_FRAMES];
// The rd of simple translation in single inter modes
int64_t simple_rd[MB_MODE_COUNT][MAX_REF_MV_SEARCH][REF_FRAMES];
// Single search results by [directions][modes][reference frames]
SingleInterModeState single_state[2][SINGLE_INTER_MODE_NUM][FWD_REFS];
int single_state_cnt[2][SINGLE_INTER_MODE_NUM];
SingleInterModeState single_state_modelled[2][SINGLE_INTER_MODE_NUM]
[FWD_REFS];
int single_state_modelled_cnt[2][SINGLE_INTER_MODE_NUM];
MV_REFERENCE_FRAME single_rd_order[2][SINGLE_INTER_MODE_NUM][FWD_REFS];
IntraModeSearchState intra_search_state;
} InterModeSearchState;
void av1_inter_mode_data_init(TileDataEnc *tile_data) {
for (int i = 0; i < BLOCK_SIZES_ALL; ++i) {
InterModeRdModel *md = &tile_data->inter_mode_rd_models[i];
md->ready = 0;
md->num = 0;
md->dist_sum = 0;
md->ld_sum = 0;
md->sse_sum = 0;
md->sse_sse_sum = 0;
md->sse_ld_sum = 0;
}
}
static int get_est_rate_dist(const TileDataEnc *tile_data, BLOCK_SIZE bsize,
int64_t sse, int *est_residue_cost,
int64_t *est_dist) {
aom_clear_system_state();
const InterModeRdModel *md = &tile_data->inter_mode_rd_models[bsize];
if (md->ready) {
if (sse < md->dist_mean) {
*est_residue_cost = 0;
*est_dist = sse;
} else {
*est_dist = (int64_t)round(md->dist_mean);
const double est_ld = md->a * sse + md->b;
// Clamp estimated rate cost by INT_MAX / 2.
// TODO(angiebird@google.com): find better solution than clamping.
if (fabs(est_ld) < 1e-2) {
*est_residue_cost = INT_MAX / 2;
} else {
double est_residue_cost_dbl = ((sse - md->dist_mean) / est_ld);
if (est_residue_cost_dbl < 0) {
*est_residue_cost = 0;
} else {
*est_residue_cost =
(int)AOMMIN((int64_t)round(est_residue_cost_dbl), INT_MAX / 2);
}
}
if (*est_residue_cost <= 0) {
*est_residue_cost = 0;
*est_dist = sse;
}
}
return 1;
}
return 0;
}
void av1_inter_mode_data_fit(TileDataEnc *tile_data, int rdmult) {
aom_clear_system_state();
for (int bsize = 0; bsize < BLOCK_SIZES_ALL; ++bsize) {
const int block_idx = inter_mode_data_block_idx(bsize);
InterModeRdModel *md = &tile_data->inter_mode_rd_models[bsize];
if (block_idx == -1) continue;
if ((md->ready == 0 && md->num < 200) || (md->ready == 1 && md->num < 64)) {
continue;
} else {
if (md->ready == 0) {
md->dist_mean = md->dist_sum / md->num;
md->ld_mean = md->ld_sum / md->num;
md->sse_mean = md->sse_sum / md->num;
md->sse_sse_mean = md->sse_sse_sum / md->num;
md->sse_ld_mean = md->sse_ld_sum / md->num;
} else {
const double factor = 3;
md->dist_mean =
(md->dist_mean * factor + (md->dist_sum / md->num)) / (factor + 1);
md->ld_mean =
(md->ld_mean * factor + (md->ld_sum / md->num)) / (factor + 1);
md->sse_mean =
(md->sse_mean * factor + (md->sse_sum / md->num)) / (factor + 1);
md->sse_sse_mean =
(md->sse_sse_mean * factor + (md->sse_sse_sum / md->num)) /
(factor + 1);
md->sse_ld_mean =
(md->sse_ld_mean * factor + (md->sse_ld_sum / md->num)) /
(factor + 1);
}
const double my = md->ld_mean;
const double mx = md->sse_mean;
const double dx = sqrt(md->sse_sse_mean);
const double dxy = md->sse_ld_mean;
md->a = (dxy - mx * my) / (dx * dx - mx * mx);
md->b = my - md->a * mx;
md->ready = 1;
md->num = 0;
md->dist_sum = 0;
md->ld_sum = 0;
md->sse_sum = 0;
md->sse_sse_sum = 0;
md->sse_ld_sum = 0;
}
(void)rdmult;
}
}
static AOM_INLINE void inter_mode_data_push(TileDataEnc *tile_data,
BLOCK_SIZE bsize, int64_t sse,
int64_t dist, int residue_cost) {
if (residue_cost == 0 || sse == dist) return;
const int block_idx = inter_mode_data_block_idx(bsize);
if (block_idx == -1) return;
InterModeRdModel *rd_model = &tile_data->inter_mode_rd_models[bsize];
if (rd_model->num < INTER_MODE_RD_DATA_OVERALL_SIZE) {
aom_clear_system_state();
const double ld = (sse - dist) * 1. / residue_cost;
++rd_model->num;
rd_model->dist_sum += dist;
rd_model->ld_sum += ld;
rd_model->sse_sum += sse;
rd_model->sse_sse_sum += (double)sse * (double)sse;
rd_model->sse_ld_sum += sse * ld;
}
}
static AOM_INLINE void inter_modes_info_push(InterModesInfo *inter_modes_info,
int mode_rate, int64_t sse,
int64_t rd, RD_STATS *rd_cost,
RD_STATS *rd_cost_y,
RD_STATS *rd_cost_uv,
const MB_MODE_INFO *mbmi) {
const int num = inter_modes_info->num;
assert(num < MAX_INTER_MODES);
inter_modes_info->mbmi_arr[num] = *mbmi;
inter_modes_info->mode_rate_arr[num] = mode_rate;
inter_modes_info->sse_arr[num] = sse;
inter_modes_info->est_rd_arr[num] = rd;
inter_modes_info->rd_cost_arr[num] = *rd_cost;
inter_modes_info->rd_cost_y_arr[num] = *rd_cost_y;
inter_modes_info->rd_cost_uv_arr[num] = *rd_cost_uv;
++inter_modes_info->num;
}
static int compare_rd_idx_pair(const void *a, const void *b) {
if (((RdIdxPair *)a)->rd == ((RdIdxPair *)b)->rd) {
return 0;
} else if (((const RdIdxPair *)a)->rd > ((const RdIdxPair *)b)->rd) {
return 1;
} else {
return -1;
}
}
static AOM_INLINE void inter_modes_info_sort(
const InterModesInfo *inter_modes_info, RdIdxPair *rd_idx_pair_arr) {
if (inter_modes_info->num == 0) {
return;
}
for (int i = 0; i < inter_modes_info->num; ++i) {
rd_idx_pair_arr[i].idx = i;
rd_idx_pair_arr[i].rd = inter_modes_info->est_rd_arr[i];
}
qsort(rd_idx_pair_arr, inter_modes_info->num, sizeof(rd_idx_pair_arr[0]),
compare_rd_idx_pair);
}
// Similar to get_horver_correlation, but also takes into account first
// row/column, when computing horizontal/vertical correlation.
void av1_get_horver_correlation_full_c(const int16_t *diff, int stride,
int width, int height, float *hcorr,
float *vcorr) {
// The following notation is used:
// x - current pixel
// y - left neighbor pixel
// z - top neighbor pixel
int64_t x_sum = 0, x2_sum = 0, xy_sum = 0, xz_sum = 0;
int64_t x_firstrow = 0, x_finalrow = 0, x_firstcol = 0, x_finalcol = 0;
int64_t x2_firstrow = 0, x2_finalrow = 0, x2_firstcol = 0, x2_finalcol = 0;
// First, process horizontal correlation on just the first row
x_sum += diff[0];
x2_sum += diff[0] * diff[0];
x_firstrow += diff[0];
x2_firstrow += diff[0] * diff[0];
for (int j = 1; j < width; ++j) {
const int16_t x = diff[j];
const int16_t y = diff[j - 1];
x_sum += x;
x_firstrow += x;
x2_sum += x * x;
x2_firstrow += x * x;
xy_sum += x * y;
}
// Process vertical correlation in the first column
x_firstcol += diff[0];
x2_firstcol += diff[0] * diff[0];
for (int i = 1; i < height; ++i) {
const int16_t x = diff[i * stride];
const int16_t z = diff[(i - 1) * stride];
x_sum += x;
x_firstcol += x;
x2_sum += x * x;
x2_firstcol += x * x;
xz_sum += x * z;
}
// Now process horiz and vert correlation through the rest unit
for (int i = 1; i < height; ++i) {
for (int j = 1; j < width; ++j) {
const int16_t x = diff[i * stride + j];
const int16_t y = diff[i * stride + j - 1];
const int16_t z = diff[(i - 1) * stride + j];
x_sum += x;
x2_sum += x * x;
xy_sum += x * y;
xz_sum += x * z;
}
}
for (int j = 0; j < width; ++j) {
x_finalrow += diff[(height - 1) * stride + j];
x2_finalrow +=
diff[(height - 1) * stride + j] * diff[(height - 1) * stride + j];
}
for (int i = 0; i < height; ++i) {
x_finalcol += diff[i * stride + width - 1];
x2_finalcol += diff[i * stride + width - 1] * diff[i * stride + width - 1];
}
int64_t xhor_sum = x_sum - x_finalcol;
int64_t xver_sum = x_sum - x_finalrow;
int64_t y_sum = x_sum - x_firstcol;
int64_t z_sum = x_sum - x_firstrow;
int64_t x2hor_sum = x2_sum - x2_finalcol;
int64_t x2ver_sum = x2_sum - x2_finalrow;
int64_t y2_sum = x2_sum - x2_firstcol;
int64_t z2_sum = x2_sum - x2_firstrow;
const float num_hor = (float)(height * (width - 1));
const float num_ver = (float)((height - 1) * width);
const float xhor_var_n = x2hor_sum - (xhor_sum * xhor_sum) / num_hor;
const float xver_var_n = x2ver_sum - (xver_sum * xver_sum) / num_ver;
const float y_var_n = y2_sum - (y_sum * y_sum) / num_hor;
const float z_var_n = z2_sum - (z_sum * z_sum) / num_ver;
const float xy_var_n = xy_sum - (xhor_sum * y_sum) / num_hor;
const float xz_var_n = xz_sum - (xver_sum * z_sum) / num_ver;
if (xhor_var_n > 0 && y_var_n > 0) {
*hcorr = xy_var_n / sqrtf(xhor_var_n * y_var_n);
*hcorr = *hcorr < 0 ? 0 : *hcorr;
} else {
*hcorr = 1.0;
}
if (xver_var_n > 0 && z_var_n > 0) {
*vcorr = xz_var_n / sqrtf(xver_var_n * z_var_n);
*vcorr = *vcorr < 0 ? 0 : *vcorr;
} else {
*vcorr = 1.0;
}
}
static int64_t get_sse(const AV1_COMP *cpi, const MACROBLOCK *x) {
const AV1_COMMON *cm = &cpi->common;
const int num_planes = av1_num_planes(cm);
const MACROBLOCKD *xd = &x->e_mbd;
const MB_MODE_INFO *mbmi = xd->mi[0];
int64_t total_sse = 0;
for (int plane = 0; plane < num_planes; ++plane) {
const struct macroblock_plane *const p = &x->plane[plane];
const struct macroblockd_plane *const pd = &xd->plane[plane];
const BLOCK_SIZE bs = get_plane_block_size(mbmi->sb_type, pd->subsampling_x,
pd->subsampling_y);
unsigned int sse;
if (x->skip_chroma_rd && plane) continue;
cpi->fn_ptr[bs].vf(p->src.buf, p->src.stride, pd->dst.buf, pd->dst.stride,
&sse);
total_sse += sse;
}
total_sse <<= 4;
return total_sse;
}
int64_t av1_block_error_c(const tran_low_t *coeff, const tran_low_t *dqcoeff,
intptr_t block_size, int64_t *ssz) {
int i;
int64_t error = 0, sqcoeff = 0;
for (i = 0; i < block_size; i++) {
const int diff = coeff[i] - dqcoeff[i];
error += diff * diff;
sqcoeff += coeff[i] * coeff[i];
}
*ssz = sqcoeff;
return error;
}
int64_t av1_block_error_lp_c(const int16_t *coeff, const int16_t *dqcoeff,
intptr_t block_size) {
int64_t error = 0;
for (int i = 0; i < block_size; i++) {
const int diff = coeff[i] - dqcoeff[i];
error += diff * diff;
}
return error;
}
#if CONFIG_AV1_HIGHBITDEPTH
int64_t av1_highbd_block_error_c(const tran_low_t *coeff,
const tran_low_t *dqcoeff, intptr_t block_size,
int64_t *ssz, int bd) {
int i;
int64_t error = 0, sqcoeff = 0;
int shift = 2 * (bd - 8);
int rounding = shift > 0 ? 1 << (shift - 1) : 0;
for (i = 0; i < block_size; i++) {
const int64_t diff = coeff[i] - dqcoeff[i];
error += diff * diff;
sqcoeff += (int64_t)coeff[i] * (int64_t)coeff[i];
}
assert(error >= 0 && sqcoeff >= 0);
error = (error + rounding) >> shift;
sqcoeff = (sqcoeff + rounding) >> shift;
*ssz = sqcoeff;
return error;
}
#endif
static int conditional_skipintra(PREDICTION_MODE mode,
PREDICTION_MODE best_intra_mode) {
if (mode == D113_PRED && best_intra_mode != V_PRED &&
best_intra_mode != D135_PRED)
return 1;
if (mode == D67_PRED && best_intra_mode != V_PRED &&
best_intra_mode != D45_PRED)
return 1;
if (mode == D203_PRED && best_intra_mode != H_PRED &&
best_intra_mode != D45_PRED)
return 1;
if (mode == D157_PRED && best_intra_mode != H_PRED &&
best_intra_mode != D135_PRED)
return 1;
return 0;
}
static int cost_mv_ref(const MACROBLOCK *const x, PREDICTION_MODE mode,
int16_t mode_context) {
if (is_inter_compound_mode(mode)) {
return x
->inter_compound_mode_cost[mode_context][INTER_COMPOUND_OFFSET(mode)];
}
int mode_cost = 0;
int16_t mode_ctx = mode_context & NEWMV_CTX_MASK;
assert(is_inter_mode(mode));
if (mode == NEWMV) {
mode_cost = x->newmv_mode_cost[mode_ctx][0];
return mode_cost;
} else {
mode_cost = x->newmv_mode_cost[mode_ctx][1];
mode_ctx = (mode_context >> GLOBALMV_OFFSET) & GLOBALMV_CTX_MASK;
if (mode == GLOBALMV) {
mode_cost += x->zeromv_mode_cost[mode_ctx][0];
return mode_cost;
} else {
mode_cost += x->zeromv_mode_cost[mode_ctx][1];
mode_ctx = (mode_context >> REFMV_OFFSET) & REFMV_CTX_MASK;
mode_cost += x->refmv_mode_cost[mode_ctx][mode != NEARESTMV];
return mode_cost;
}
}
}
static INLINE int mv_check_bounds(const MvLimits *mv_limits, const MV *mv) {
return (mv->row >> 3) < mv_limits->row_min ||
(mv->row >> 3) > mv_limits->row_max ||
(mv->col >> 3) < mv_limits->col_min ||
(mv->col >> 3) > mv_limits->col_max;
}
static INLINE PREDICTION_MODE get_single_mode(PREDICTION_MODE this_mode,
int ref_idx, int is_comp_pred) {
PREDICTION_MODE single_mode;
if (is_comp_pred) {
single_mode =
ref_idx ? compound_ref1_mode(this_mode) : compound_ref0_mode(this_mode);
} else {
single_mode = this_mode;
}
return single_mode;
}
static AOM_INLINE void estimate_ref_frame_costs(
const AV1_COMMON *cm, const MACROBLOCKD *xd, const MACROBLOCK *x,
int segment_id, unsigned int *ref_costs_single,
unsigned int (*ref_costs_comp)[REF_FRAMES]) {
int seg_ref_active =
segfeature_active(&cm->seg, segment_id, SEG_LVL_REF_FRAME);
if (seg_ref_active) {
memset(ref_costs_single, 0, REF_FRAMES * sizeof(*ref_costs_single));
int ref_frame;
for (ref_frame = 0; ref_frame < REF_FRAMES; ++ref_frame)
memset(ref_costs_comp[ref_frame], 0,
REF_FRAMES * sizeof((*ref_costs_comp)[0]));
} else {
int intra_inter_ctx = av1_get_intra_inter_context(xd);
ref_costs_single[INTRA_FRAME] = x->intra_inter_cost[intra_inter_ctx][0];
unsigned int base_cost = x->intra_inter_cost[intra_inter_ctx][1];
for (int i = LAST_FRAME; i <= ALTREF_FRAME; ++i)
ref_costs_single[i] = base_cost;
const int ctx_p1 = av1_get_pred_context_single_ref_p1(xd);
const int ctx_p2 = av1_get_pred_context_single_ref_p2(xd);
const int ctx_p3 = av1_get_pred_context_single_ref_p3(xd);
const int ctx_p4 = av1_get_pred_context_single_ref_p4(xd);
const int ctx_p5 = av1_get_pred_context_single_ref_p5(xd);
const int ctx_p6 = av1_get_pred_context_single_ref_p6(xd);
// Determine cost of a single ref frame, where frame types are represented
// by a tree:
// Level 0: add cost whether this ref is a forward or backward ref
ref_costs_single[LAST_FRAME] += x->single_ref_cost[ctx_p1][0][0];
ref_costs_single[LAST2_FRAME] += x->single_ref_cost[ctx_p1][0][0];
ref_costs_single[LAST3_FRAME] += x->single_ref_cost[ctx_p1][0][0];
ref_costs_single[GOLDEN_FRAME] += x->single_ref_cost[ctx_p1][0][0];
ref_costs_single[BWDREF_FRAME] += x->single_ref_cost[ctx_p1][0][1];
ref_costs_single[ALTREF2_FRAME] += x->single_ref_cost[ctx_p1][0][1];
ref_costs_single[ALTREF_FRAME] += x->single_ref_cost[ctx_p1][0][1];
// Level 1: if this ref is forward ref,
// add cost whether it is last/last2 or last3/golden
ref_costs_single[LAST_FRAME] += x->single_ref_cost[ctx_p3][2][0];
ref_costs_single[LAST2_FRAME] += x->single_ref_cost[ctx_p3][2][0];
ref_costs_single[LAST3_FRAME] += x->single_ref_cost[ctx_p3][2][1];
ref_costs_single[GOLDEN_FRAME] += x->single_ref_cost[ctx_p3][2][1];
// Level 1: if this ref is backward ref
// then add cost whether this ref is altref or backward ref
ref_costs_single[BWDREF_FRAME] += x->single_ref_cost[ctx_p2][1][0];
ref_costs_single[ALTREF2_FRAME] += x->single_ref_cost[ctx_p2][1][0];
ref_costs_single[ALTREF_FRAME] += x->single_ref_cost[ctx_p2][1][1];
// Level 2: further add cost whether this ref is last or last2
ref_costs_single[LAST_FRAME] += x->single_ref_cost[ctx_p4][3][0];
ref_costs_single[LAST2_FRAME] += x->single_ref_cost[ctx_p4][3][1];
// Level 2: last3 or golden
ref_costs_single[LAST3_FRAME] += x->single_ref_cost[ctx_p5][4][0];
ref_costs_single[GOLDEN_FRAME] += x->single_ref_cost[ctx_p5][4][1];
// Level 2: bwdref or altref2
ref_costs_single[BWDREF_FRAME] += x->single_ref_cost[ctx_p6][5][0];
ref_costs_single[ALTREF2_FRAME] += x->single_ref_cost[ctx_p6][5][1];
if (cm->current_frame.reference_mode != SINGLE_REFERENCE) {
// Similar to single ref, determine cost of compound ref frames.
// cost_compound_refs = cost_first_ref + cost_second_ref
const int bwdref_comp_ctx_p = av1_get_pred_context_comp_bwdref_p(xd);
const int bwdref_comp_ctx_p1 = av1_get_pred_context_comp_bwdref_p1(xd);
const int ref_comp_ctx_p = av1_get_pred_context_comp_ref_p(xd);
const int ref_comp_ctx_p1 = av1_get_pred_context_comp_ref_p1(xd);
const int ref_comp_ctx_p2 = av1_get_pred_context_comp_ref_p2(xd);
const int comp_ref_type_ctx = av1_get_comp_reference_type_context(xd);
unsigned int ref_bicomp_costs[REF_FRAMES] = { 0 };
ref_bicomp_costs[LAST_FRAME] = ref_bicomp_costs[LAST2_FRAME] =
ref_bicomp_costs[LAST3_FRAME] = ref_bicomp_costs[GOLDEN_FRAME] =
base_cost + x->comp_ref_type_cost[comp_ref_type_ctx][1];
ref_bicomp_costs[BWDREF_FRAME] = ref_bicomp_costs[ALTREF2_FRAME] = 0;
ref_bicomp_costs[ALTREF_FRAME] = 0;
// cost of first ref frame
ref_bicomp_costs[LAST_FRAME] += x->comp_ref_cost[ref_comp_ctx_p][0][0];
ref_bicomp_costs[LAST2_FRAME] += x->comp_ref_cost[ref_comp_ctx_p][0][0];
ref_bicomp_costs[LAST3_FRAME] += x->comp_ref_cost[ref_comp_ctx_p][0][1];
ref_bicomp_costs[GOLDEN_FRAME] += x->comp_ref_cost[ref_comp_ctx_p][0][1];
ref_bicomp_costs[LAST_FRAME] += x->comp_ref_cost[ref_comp_ctx_p1][1][0];
ref_bicomp_costs[LAST2_FRAME] += x->comp_ref_cost[ref_comp_ctx_p1][1][1];
ref_bicomp_costs[LAST3_FRAME] += x->comp_ref_cost[ref_comp_ctx_p2][2][0];
ref_bicomp_costs[GOLDEN_FRAME] += x->comp_ref_cost[ref_comp_ctx_p2][2][1];
// cost of second ref frame
ref_bicomp_costs[BWDREF_FRAME] +=
x->comp_bwdref_cost[bwdref_comp_ctx_p][0][0];
ref_bicomp_costs[ALTREF2_FRAME] +=
x->comp_bwdref_cost[bwdref_comp_ctx_p][0][0];
ref_bicomp_costs[ALTREF_FRAME] +=
x->comp_bwdref_cost[bwdref_comp_ctx_p][0][1];
ref_bicomp_costs[BWDREF_FRAME] +=
x->comp_bwdref_cost[bwdref_comp_ctx_p1][1][0];
ref_bicomp_costs[ALTREF2_FRAME] +=
x->comp_bwdref_cost[bwdref_comp_ctx_p1][1][1];
// cost: if one ref frame is forward ref, the other ref is backward ref
int ref0, ref1;
for (ref0 = LAST_FRAME; ref0 <= GOLDEN_FRAME; ++ref0) {
for (ref1 = BWDREF_FRAME; ref1 <= ALTREF_FRAME; ++ref1) {
ref_costs_comp[ref0][ref1] =
ref_bicomp_costs[ref0] + ref_bicomp_costs[ref1];
}
}
// cost: if both ref frames are the same side.
const int uni_comp_ref_ctx_p = av1_get_pred_context_uni_comp_ref_p(xd);
const int uni_comp_ref_ctx_p1 = av1_get_pred_context_uni_comp_ref_p1(xd);
const int uni_comp_ref_ctx_p2 = av1_get_pred_context_uni_comp_ref_p2(xd);
ref_costs_comp[LAST_FRAME][LAST2_FRAME] =
base_cost + x->comp_ref_type_cost[comp_ref_type_ctx][0] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p][0][0] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p1][1][0];
ref_costs_comp[LAST_FRAME][LAST3_FRAME] =
base_cost + x->comp_ref_type_cost[comp_ref_type_ctx][0] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p][0][0] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p1][1][1] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p2][2][0];
ref_costs_comp[LAST_FRAME][GOLDEN_FRAME] =
base_cost + x->comp_ref_type_cost[comp_ref_type_ctx][0] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p][0][0] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p1][1][1] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p2][2][1];
ref_costs_comp[BWDREF_FRAME][ALTREF_FRAME] =
base_cost + x->comp_ref_type_cost[comp_ref_type_ctx][0] +
x->uni_comp_ref_cost[uni_comp_ref_ctx_p][0][1];
} else {
int ref0, ref1;
for (ref0 = LAST_FRAME; ref0 <= GOLDEN_FRAME; ++ref0) {
for (ref1 = BWDREF_FRAME; ref1 <= ALTREF_FRAME; ++ref1)
ref_costs_comp[ref0][ref1] = 512;
}
ref_costs_comp[LAST_FRAME][LAST2_FRAME] = 512;
ref_costs_comp[LAST_FRAME][LAST3_FRAME] = 512;
ref_costs_comp[LAST_FRAME][GOLDEN_FRAME] = 512;
ref_costs_comp[BWDREF_FRAME][ALTREF_FRAME] = 512;
}
}
}
static AOM_INLINE void store_coding_context(
#if CONFIG_INTERNAL_STATS
MACROBLOCK *x, PICK_MODE_CONTEXT *ctx, int mode_index,
#else
MACROBLOCK *x, PICK_MODE_CONTEXT *ctx,
#endif // CONFIG_INTERNAL_STATS
int64_t comp_pred_diff[REFERENCE_MODES], int skippable) {
MACROBLOCKD *const xd = &x->e_mbd;
// Take a snapshot of the coding context so it can be
// restored if we decide to encode this way
ctx->rd_stats.skip = x->force_skip;
ctx->skippable = skippable;
#if CONFIG_INTERNAL_STATS
ctx->best_mode_index = mode_index;
#endif // CONFIG_INTERNAL_STATS
ctx->mic = *xd->mi[0];
ctx->mbmi_ext = *x->mbmi_ext;
ctx->single_pred_diff = (int)comp_pred_diff[SINGLE_REFERENCE];
ctx->comp_pred_diff = (int)comp_pred_diff[COMPOUND_REFERENCE];
ctx->hybrid_pred_diff = (int)comp_pred_diff[REFERENCE_MODE_SELECT];
}
static AOM_INLINE void setup_buffer_ref_mvs_inter(
const AV1_COMP *const cpi, MACROBLOCK *x, MV_REFERENCE_FRAME ref_frame,
BLOCK_SIZE block_size, struct buf_2d yv12_mb[REF_FRAMES][MAX_MB_PLANE]) {
const AV1_COMMON *cm = &cpi->common;
const int num_planes = av1_num_planes(cm);
const YV12_BUFFER_CONFIG *scaled_ref_frame =
av1_get_scaled_ref_frame(cpi, ref_frame);
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
const struct scale_factors *const sf =
get_ref_scale_factors_const(cm, ref_frame);
const YV12_BUFFER_CONFIG *yv12 = get_ref_frame_yv12_buf(cm, ref_frame);
assert(yv12 != NULL);
if (scaled_ref_frame) {
// Setup pred block based on scaled reference, because av1_mv_pred() doesn't
// support scaling.
av1_setup_pred_block(xd, yv12_mb[ref_frame], scaled_ref_frame, NULL, NULL,
num_planes);
} else {
av1_setup_pred_block(xd, yv12_mb[ref_frame], yv12, sf, sf, num_planes);
}
// Gets an initial list of candidate vectors from neighbours and orders them
av1_find_mv_refs(cm, xd, mbmi, ref_frame, mbmi_ext->ref_mv_count,
xd->ref_mv_stack, xd->weight, NULL, mbmi_ext->global_mvs,
mbmi_ext->mode_context);
// TODO(Ravi): Populate mbmi_ext->ref_mv_stack[ref_frame][4] and
// mbmi_ext->weight[ref_frame][4] inside av1_find_mv_refs.
av1_copy_usable_ref_mv_stack_and_weight(xd, mbmi_ext, ref_frame);
// Further refinement that is encode side only to test the top few candidates
// in full and choose the best as the center point for subsequent searches.
// The current implementation doesn't support scaling.
av1_mv_pred(cpi, x, yv12_mb[ref_frame][0].buf, yv12_mb[ref_frame][0].stride,
ref_frame, block_size);
// Go back to unscaled reference.
if (scaled_ref_frame) {
// We had temporarily setup pred block based on scaled reference above. Go
// back to unscaled reference now, for subsequent use.
av1_setup_pred_block(xd, yv12_mb[ref_frame], yv12, sf, sf, num_planes);
}
}
#define LEFT_TOP_MARGIN ((AOM_BORDER_IN_PIXELS - AOM_INTERP_EXTEND) << 3)
#define RIGHT_BOTTOM_MARGIN ((AOM_BORDER_IN_PIXELS - AOM_INTERP_EXTEND) << 3)
// TODO(jingning): this mv clamping function should be block size dependent.
static INLINE void clamp_mv2(MV *mv, const MACROBLOCKD *xd) {
clamp_mv(mv, xd->mb_to_left_edge - LEFT_TOP_MARGIN,
xd->mb_to_right_edge + RIGHT_BOTTOM_MARGIN,
xd->mb_to_top_edge - LEFT_TOP_MARGIN,
xd->mb_to_bottom_edge + RIGHT_BOTTOM_MARGIN);
}
/* If the current mode shares the same mv with other modes with higher cost,
* skip this mode. */
static int skip_repeated_mv(const AV1_COMMON *const cm,
const MACROBLOCK *const x,
PREDICTION_MODE this_mode,
const MV_REFERENCE_FRAME ref_frames[2],
InterModeSearchState *search_state) {
const int is_comp_pred = ref_frames[1] > INTRA_FRAME;
const uint8_t ref_frame_type = av1_ref_frame_type(ref_frames);
const MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
const int ref_mv_count = mbmi_ext->ref_mv_count[ref_frame_type];
PREDICTION_MODE compare_mode = MB_MODE_COUNT;
if (!is_comp_pred) {
if (this_mode == NEARMV) {
if (ref_mv_count == 0) {
// NEARMV has the same motion vector as NEARESTMV
compare_mode = NEARESTMV;
}
if (ref_mv_count == 1 &&
cm->global_motion[ref_frames[0]].wmtype <= TRANSLATION) {
// NEARMV has the same motion vector as GLOBALMV
compare_mode = GLOBALMV;
}
}
if (this_mode == GLOBALMV) {
if (ref_mv_count == 0 &&
cm->global_motion[ref_frames[0]].wmtype <= TRANSLATION) {
// GLOBALMV has the same motion vector as NEARESTMV
compare_mode = NEARESTMV;
}
if (ref_mv_count == 1) {
// GLOBALMV has the same motion vector as NEARMV
compare_mode = NEARMV;
}
}
if (compare_mode != MB_MODE_COUNT) {
// Use modelled_rd to check whether compare mode was searched
if (search_state->modelled_rd[compare_mode][0][ref_frames[0]] !=
INT64_MAX) {
const int16_t mode_ctx =
av1_mode_context_analyzer(mbmi_ext->mode_context, ref_frames);
const int compare_cost = cost_mv_ref(x, compare_mode, mode_ctx);
const int this_cost = cost_mv_ref(x, this_mode, mode_ctx);
// Only skip if the mode cost is larger than compare mode cost
if (this_cost > compare_cost) {
search_state->modelled_rd[this_mode][0][ref_frames[0]] =
search_state->modelled_rd[compare_mode][0][ref_frames[0]];
return 1;
}
}
}
}
return 0;
}
static INLINE int clamp_and_check_mv(int_mv *out_mv, int_mv in_mv,
const AV1_COMMON *cm,
const MACROBLOCK *x) {
const MACROBLOCKD *const xd = &x->e_mbd;
*out_mv = in_mv;
lower_mv_precision(&out_mv->as_mv, cm->allow_high_precision_mv,
cm->cur_frame_force_integer_mv);
clamp_mv2(&out_mv->as_mv, xd);
return !mv_check_bounds(&x->mv_limits, &out_mv->as_mv);
}
// To use single newmv directly for compound modes, need to clamp the mv to the
// valid mv range. Without this, encoder would generate out of range mv, and
// this is seen in 8k encoding.
static INLINE void clamp_mv_in_range(MACROBLOCK *const x, int_mv *mv,
int ref_idx) {
const int_mv ref_mv = av1_get_ref_mv(x, ref_idx);
int minc, maxc, minr, maxr;
set_subpel_mv_search_range(&x->mv_limits, &minc, &maxc, &minr, &maxr,
&ref_mv.as_mv);
clamp_mv(&mv->as_mv, minc, maxc, minr, maxr);
}
static int64_t handle_newmv(const AV1_COMP *const cpi, MACROBLOCK *const x,
const BLOCK_SIZE bsize, int_mv *cur_mv,
int *const rate_mv,
HandleInterModeArgs *const args) {
const MACROBLOCKD *const xd = &x->e_mbd;
const MB_MODE_INFO *const mbmi = xd->mi[0];
const int is_comp_pred = has_second_ref(mbmi);
const PREDICTION_MODE this_mode = mbmi->mode;
const int refs[2] = { mbmi->ref_frame[0],
mbmi->ref_frame[1] < 0 ? 0 : mbmi->ref_frame[1] };
const int ref_mv_idx = mbmi->ref_mv_idx;
if (is_comp_pred) {
const int valid_mv0 = args->single_newmv_valid[ref_mv_idx][refs[0]];
const int valid_mv1 = args->single_newmv_valid[ref_mv_idx][refs[1]];
if (this_mode == NEW_NEWMV) {
if (valid_mv0) {
cur_mv[0].as_int = args->single_newmv[ref_mv_idx][refs[0]].as_int;
clamp_mv_in_range(x, &cur_mv[0], 0);
}
if (valid_mv1) {
cur_mv[1].as_int = args->single_newmv[ref_mv_idx][refs[1]].as_int;
clamp_mv_in_range(x, &cur_mv[1], 1);
}
// aomenc1
if (cpi->sf.inter_sf.comp_inter_joint_search_thresh <= bsize ||
!valid_mv0 || !valid_mv1) {
av1_joint_motion_search(cpi, x, bsize, cur_mv, NULL, 0, rate_mv);
} else {
*rate_mv = 0;
for (int i = 0; i < 2; ++i) {
const int_mv ref_mv = av1_get_ref_mv(x, i);
*rate_mv +=
av1_mv_bit_cost(&cur_mv[i].as_mv, &ref_mv.as_mv, x->nmv_vec_cost,
x->mv_cost_stack, MV_COST_WEIGHT);
}
}
} else if (this_mode == NEAREST_NEWMV || this_mode == NEAR_NEWMV) {
if (valid_mv1) {
cur_mv[1].as_int = args->single_newmv[ref_mv_idx][refs[1]].as_int;
clamp_mv_in_range(x, &cur_mv[1], 1);
}
// aomenc2
if (cpi->sf.inter_sf.comp_inter_joint_search_thresh <= bsize ||
!valid_mv1) {
av1_compound_single_motion_search_interinter(cpi, x, bsize, cur_mv,
NULL, 0, rate_mv, 1);
} else {
const int_mv ref_mv = av1_get_ref_mv(x, 1);
*rate_mv =
av1_mv_bit_cost(&cur_mv[1].as_mv, &ref_mv.as_mv, x->nmv_vec_cost,
x->mv_cost_stack, MV_COST_WEIGHT);
}
} else {
assert(this_mode == NEW_NEARESTMV || this_mode == NEW_NEARMV);
if (valid_mv0) {
cur_mv[0].as_int = args->single_newmv[ref_mv_idx][refs[0]].as_int;
clamp_mv_in_range(x, &cur_mv[0], 0);
}
// aomenc3
if (cpi->sf.inter_sf.comp_inter_joint_search_thresh <= bsize ||
!valid_mv0) {
av1_compound_single_motion_search_interinter(cpi, x, bsize, cur_mv,
NULL, 0, rate_mv, 0);
} else {
const int_mv ref_mv = av1_get_ref_mv(x, 0);
*rate_mv =
av1_mv_bit_cost(&cur_mv[0].as_mv, &ref_mv.as_mv, x->nmv_vec_cost,
x->mv_cost_stack, MV_COST_WEIGHT);
}
}
} else {
// Single ref case.
const int ref_idx = 0;
int search_range = INT_MAX;
if (cpi->sf.mv_sf.reduce_search_range && mbmi->ref_mv_idx > 0) {
const MV ref_mv = av1_get_ref_mv(x, ref_idx).as_mv;
int min_mv_diff = INT_MAX;
int best_match = -1;
MV prev_ref_mv[2] = { { 0 } };
for (int idx = 0; idx < mbmi->ref_mv_idx; ++idx) {
prev_ref_mv[idx] = av1_get_ref_mv_from_stack(ref_idx, mbmi->ref_frame,
idx, x->mbmi_ext)
.as_mv;
const int ref_mv_diff = AOMMAX(abs(ref_mv.row - prev_ref_mv[idx].row),
abs(ref_mv.col - prev_ref_mv[idx].col));
if (min_mv_diff > ref_mv_diff) {
min_mv_diff = ref_mv_diff;
best_match = idx;
}
}
if (min_mv_diff < (16 << 3)) {
if (args->single_newmv_valid[best_match][refs[0]]) {
search_range = min_mv_diff;
search_range +=
AOMMAX(abs(args->single_newmv[best_match][refs[0]].as_mv.row -
prev_ref_mv[best_match].row),
abs(args->single_newmv[best_match][refs[0]].as_mv.col -
prev_ref_mv[best_match].col));
// Get full pixel search range.
search_range = (search_range + 4) >> 3;
}
}
}
av1_single_motion_search(cpi, x, bsize, ref_idx, rate_mv, search_range);
if (x->best_mv.as_int == INVALID_MV) return INT64_MAX;
args->single_newmv[ref_mv_idx][refs[0]] = x->best_mv;
args->single_newmv_rate[ref_mv_idx][refs[0]] = *rate_mv;
args->single_newmv_valid[ref_mv_idx][refs[0]] = 1;
cur_mv[0].as_int = x->best_mv.as_int;
}
return 0;
}
// If number of valid neighbours is 1,
// 1) ROTZOOM parameters can be obtained reliably (2 parameters from
// one neighbouring MV)
// 2) For IDENTITY/TRANSLATION cases, warp can perform better due to
// a different interpolation filter being used. However the quality
// gains (due to the same) may not be much
// For above 2 cases warp evaluation is skipped
static int check_if_optimal_warp(const AV1_COMP *cpi,
WarpedMotionParams *wm_params,
int num_proj_ref) {
int is_valid_warp = 1;
if (cpi->sf.inter_sf.prune_warp_using_wmtype) {
TransformationType wmtype = get_wmtype(wm_params);
if (num_proj_ref == 1) {
if (wmtype != ROTZOOM) is_valid_warp = 0;
} else {
if (wmtype < ROTZOOM) is_valid_warp = 0;
}
}
return is_valid_warp;
}
static INLINE void update_mode_start_end_index(const AV1_COMP *const cpi,
int *mode_index_start,
int *mode_index_end,
int last_motion_mode_allowed,
int interintra_allowed,
int eval_motion_mode) {
*mode_index_start = (int)SIMPLE_TRANSLATION;
*mode_index_end = (int)last_motion_mode_allowed + interintra_allowed;
if (cpi->sf.winner_mode_sf.motion_mode_for_winner_cand) {
if (!eval_motion_mode) {
*mode_index_end = (int)SIMPLE_TRANSLATION;
} else {
// Set the start index appropriately to process motion modes other than
// simple translation
*mode_index_start = 1;
}
}
}
// TODO(afergs): Refactor the MBMI references in here - there's four
// TODO(afergs): Refactor optional args - add them to a struct or remove
static int64_t motion_mode_rd(
const AV1_COMP *const cpi, TileDataEnc *tile_data, MACROBLOCK *const x,
BLOCK_SIZE bsize, RD_STATS *rd_stats, RD_STATS *rd_stats_y,
RD_STATS *rd_stats_uv, int *disable_skip, HandleInterModeArgs *const args,
int64_t ref_best_rd, int *rate_mv, const BUFFER_SET *orig_dst,
int64_t *best_est_rd, int do_tx_search, InterModesInfo *inter_modes_info,
int eval_motion_mode) {
const AV1_COMMON *const cm = &cpi->common;
const int num_planes = av1_num_planes(cm);
MACROBLOCKD *xd = &x->e_mbd;
MB_MODE_INFO *mbmi = xd->mi[0];
const int is_comp_pred = has_second_ref(mbmi);
const PREDICTION_MODE this_mode = mbmi->mode;
const int rate2_nocoeff = rd_stats->rate;
int best_xskip = 0, best_disable_skip = 0;
RD_STATS best_rd_stats, best_rd_stats_y, best_rd_stats_uv;
uint8_t best_blk_skip[MAX_MIB_SIZE * MAX_MIB_SIZE];
uint8_t best_tx_type_map[MAX_MIB_SIZE * MAX_MIB_SIZE];
const int rate_mv0 = *rate_mv;
const int interintra_allowed = cm->seq_params.enable_interintra_compound &&
is_interintra_allowed(mbmi) &&
mbmi->compound_idx;
int pts0[SAMPLES_ARRAY_SIZE], pts_inref0[SAMPLES_ARRAY_SIZE];
assert(mbmi->ref_frame[1] != INTRA_FRAME);
const MV_REFERENCE_FRAME ref_frame_1 = mbmi->ref_frame[1];
(void)tile_data;
av1_invalid_rd_stats(&best_rd_stats);
aom_clear_system_state();
mbmi->num_proj_ref = 1; // assume num_proj_ref >=1
MOTION_MODE last_motion_mode_allowed = SIMPLE_TRANSLATION;
if (cm->switchable_motion_mode) {
last_motion_mode_allowed = motion_mode_allowed(xd->global_motion, xd, mbmi,
cm->allow_warped_motion);
}
if (last_motion_mode_allowed == WARPED_CAUSAL) {
mbmi->num_proj_ref = av1_findSamples(cm, xd, pts0, pts_inref0);
}
const int total_samples = mbmi->num_proj_ref;
if (total_samples == 0) {
last_motion_mode_allowed = OBMC_CAUSAL;
}
const MB_MODE_INFO base_mbmi = *mbmi;
MB_MODE_INFO best_mbmi;
SimpleRDState *const simple_states = &args->simple_rd_state[mbmi->ref_mv_idx];
const int switchable_rate =
av1_is_interp_needed(xd) ? av1_get_switchable_rate(cm, x, xd) : 0;
int64_t best_rd = INT64_MAX;
int best_rate_mv = rate_mv0;
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
int mode_index_start, mode_index_end;
update_mode_start_end_index(cpi, &mode_index_start, &mode_index_end,
last_motion_mode_allowed, interintra_allowed,
eval_motion_mode);
for (int mode_index = mode_index_start; mode_index <= mode_index_end;
mode_index++) {
if (args->skip_motion_mode && mode_index) continue;
if (cpi->sf.inter_sf.prune_single_motion_modes_by_simple_trans &&
args->single_ref_first_pass && mode_index)
break;
int tmp_rate2 = rate2_nocoeff;
const int is_interintra_mode = mode_index > (int)last_motion_mode_allowed;
int tmp_rate_mv = rate_mv0;
*mbmi = base_mbmi;
if (is_interintra_mode) {
mbmi->motion_mode = SIMPLE_TRANSLATION;
} else {
mbmi->motion_mode = (MOTION_MODE)mode_index;
assert(mbmi->ref_frame[1] != INTRA_FRAME);
}
const FRAME_UPDATE_TYPE update_type = get_frame_update_type(&cpi->gf_group);
const int prune_obmc = cpi->obmc_probs[update_type][bsize] <
cpi->sf.inter_sf.prune_obmc_prob_thresh;
if ((cpi->oxcf.enable_obmc == 0 || cpi->sf.inter_sf.disable_obmc ||
cpi->sf.rt_sf.use_nonrd_pick_mode || prune_obmc) &&
mbmi->motion_mode == OBMC_CAUSAL)
continue;
if (mbmi->motion_mode == SIMPLE_TRANSLATION && !is_interintra_mode) {
// SIMPLE_TRANSLATION mode: no need to recalculate.
// The prediction is calculated before motion_mode_rd() is called in
// handle_inter_mode()
if (cpi->sf.inter_sf.prune_single_motion_modes_by_simple_trans &&
!is_comp_pred) {
if (args->single_ref_first_pass == 0) {
if (simple_states->early_skipped) {
assert(simple_states->rd_stats.rdcost == INT64_MAX);
return INT64_MAX;
}
if (simple_states->rd_stats.rdcost != INT64_MAX) {
best_rd = simple_states->rd_stats.rdcost;
best_rd_stats = simple_states->rd_stats;
best_rd_stats_y = simple_states->rd_stats_y;
best_rd_stats_uv = simple_states->rd_stats_uv;
memcpy(best_blk_skip, simple_states->blk_skip,
sizeof(x->blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(best_tx_type_map, simple_states->tx_type_map,
xd->n4_h * xd->n4_w);
best_xskip = simple_states->skip;
best_disable_skip = simple_states->disable_skip;
best_mbmi = *mbmi;
}
continue;
}
simple_states->early_skipped = 0;
}
} else if (mbmi->motion_mode == OBMC_CAUSAL) {
const uint32_t cur_mv = mbmi->mv[0].as_int;
assert(!is_comp_pred);
if (have_newmv_in_inter_mode(this_mode)) {
av1_single_motion_search(cpi, x, bsize, 0, &tmp_rate_mv, INT_MAX);
mbmi->mv[0].as_int = x->best_mv.as_int;
tmp_rate2 = rate2_nocoeff - rate_mv0 + tmp_rate_mv;
}
if ((mbmi->mv[0].as_int != cur_mv) || eval_motion_mode) {
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize,
0, av1_num_planes(cm) - 1);
}
av1_build_obmc_inter_prediction(
cm, xd, args->above_pred_buf, args->above_pred_stride,
args->left_pred_buf, args->left_pred_stride);
} else if (mbmi->motion_mode == WARPED_CAUSAL) {
int pts[SAMPLES_ARRAY_SIZE], pts_inref[SAMPLES_ARRAY_SIZE];
mbmi->motion_mode = WARPED_CAUSAL;
mbmi->wm_params.wmtype = DEFAULT_WMTYPE;
mbmi->interp_filters = av1_broadcast_interp_filter(
av1_unswitchable_filter(cm->interp_filter));
memcpy(pts, pts0, total_samples * 2 * sizeof(*pts0));
memcpy(pts_inref, pts_inref0, total_samples * 2 * sizeof(*pts_inref0));
// Select the samples according to motion vector difference
if (mbmi->num_proj_ref > 1) {
mbmi->num_proj_ref = av1_selectSamples(
&mbmi->mv[0].as_mv, pts, pts_inref, mbmi->num_proj_ref, bsize);
}
if (!av1_find_projection(mbmi->num_proj_ref, pts, pts_inref, bsize,
mbmi->mv[0].as_mv.row, mbmi->mv[0].as_mv.col,
&mbmi->wm_params, mi_row, mi_col)) {
// Refine MV for NEWMV mode
assert(!is_comp_pred);
if (have_newmv_in_inter_mode(this_mode)) {
const int_mv mv0 = mbmi->mv[0];
const WarpedMotionParams wm_params0 = mbmi->wm_params;
const int num_proj_ref0 = mbmi->num_proj_ref;
if (cpi->sf.inter_sf.prune_warp_using_wmtype) {
TransformationType wmtype = get_wmtype(&mbmi->wm_params);
if (wmtype < ROTZOOM) continue;
}
// Refine MV in a small range.
av1_refine_warped_mv(cpi, x, bsize, pts0, pts_inref0, total_samples);
// Keep the refined MV and WM parameters.
if (mv0.as_int != mbmi->mv[0].as_int) {
const int_mv ref_mv = av1_get_ref_mv(x, 0);
tmp_rate_mv = av1_mv_bit_cost(&mbmi->mv[0].as_mv, &ref_mv.as_mv,
x->nmv_vec_cost, x->mv_cost_stack,
MV_COST_WEIGHT);
if (cpi->sf.mv_sf.adaptive_motion_search) {
x->pred_mv[mbmi->ref_frame[0]] = mbmi->mv[0].as_mv;
}
tmp_rate2 = rate2_nocoeff - rate_mv0 + tmp_rate_mv;
} else {
// Restore the old MV and WM parameters.
mbmi->mv[0] = mv0;
mbmi->wm_params = wm_params0;
mbmi->num_proj_ref = num_proj_ref0;
}
} else {
if (!check_if_optimal_warp(cpi, &mbmi->wm_params, mbmi->num_proj_ref))
continue;
}
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, 0,
av1_num_planes(cm) - 1);
} else {
continue;
}
} else if (is_interintra_mode) {
const int ret =
av1_handle_inter_intra_mode(cpi, x, bsize, mbmi, args, ref_best_rd,
&tmp_rate_mv, &tmp_rate2, orig_dst);
if (ret < 0) continue;
}
// If we are searching newmv and the mv is the same as refmv, skip the
// current mode
if (this_mode == NEW_NEWMV) {
const int_mv ref_mv_0 = av1_get_ref_mv(x, 0);
const int_mv ref_mv_1 = av1_get_ref_mv(x, 1);
if (mbmi->mv[0].as_int == ref_mv_0.as_int ||
mbmi->mv[1].as_int == ref_mv_1.as_int) {
continue;
}
} else if (this_mode == NEAREST_NEWMV || this_mode == NEAR_NEWMV) {
const int_mv ref_mv_1 = av1_get_ref_mv(x, 1);
if (mbmi->mv[1].as_int == ref_mv_1.as_int) {
continue;
}
} else if (this_mode == NEW_NEARESTMV || this_mode == NEW_NEARMV) {
const int_mv ref_mv_0 = av1_get_ref_mv(x, 0);
if (mbmi->mv[0].as_int == ref_mv_0.as_int) {
continue;
}
} else if (this_mode == NEWMV) {
const int_mv ref_mv_0 = av1_get_ref_mv(x, 0);
if (mbmi->mv[0].as_int == ref_mv_0.as_int) {
continue;
}
}
x->force_skip = 0;
rd_stats->dist = 0;
rd_stats->sse = 0;
rd_stats->skip = 1;
rd_stats->rate = tmp_rate2;
if (mbmi->motion_mode != WARPED_CAUSAL) rd_stats->rate += switchable_rate;
if (interintra_allowed) {
rd_stats->rate += x->interintra_cost[size_group_lookup[bsize]]
[mbmi->ref_frame[1] == INTRA_FRAME];
if (mbmi->ref_frame[1] == INTRA_FRAME) {
rd_stats->rate += x->interintra_mode_cost[size_group_lookup[bsize]]
[mbmi->interintra_mode];
if (av1_is_wedge_used(bsize)) {
rd_stats->rate +=
x->wedge_interintra_cost[bsize][mbmi->use_wedge_interintra];
if (mbmi->use_wedge_interintra) {
rd_stats->rate +=
x->wedge_idx_cost[bsize][mbmi->interintra_wedge_index];
}
}
}
}
if ((last_motion_mode_allowed > SIMPLE_TRANSLATION) &&
(mbmi->ref_frame[1] != INTRA_FRAME)) {
if (last_motion_mode_allowed == WARPED_CAUSAL) {
rd_stats->rate += x->motion_mode_cost[bsize][mbmi->motion_mode];
} else {
rd_stats->rate += x->motion_mode_cost1[bsize][mbmi->motion_mode];
}
}
if (!do_tx_search) {
int64_t curr_sse = -1;
int est_residue_cost = 0;
int64_t est_dist = 0;
int64_t est_rd = 0;
if (cpi->sf.inter_sf.inter_mode_rd_model_estimation == 1) {
curr_sse = get_sse(cpi, x);
const int has_est_rd = get_est_rate_dist(tile_data, bsize, curr_sse,
&est_residue_cost, &est_dist);
(void)has_est_rd;
assert(has_est_rd);
} else if (cpi->sf.inter_sf.inter_mode_rd_model_estimation == 2 ||
cpi->sf.rt_sf.use_nonrd_pick_mode) {
model_rd_sb_fn[MODELRD_TYPE_MOTION_MODE_RD](
cpi, bsize, x, xd, 0, num_planes - 1, &est_residue_cost, &est_dist,
NULL, &curr_sse, NULL, NULL, NULL);
}
est_rd = RDCOST(x->rdmult, rd_stats->rate + est_residue_cost, est_dist);
if (est_rd * 0.80 > *best_est_rd) {
mbmi->ref_frame[1] = ref_frame_1;
continue;
}
const int mode_rate = rd_stats->rate;
rd_stats->rate += est_residue_cost;
rd_stats->dist = est_dist;
rd_stats->rdcost = est_rd;
*best_est_rd = AOMMIN(*best_est_rd, rd_stats->rdcost);
if (cm->current_frame.reference_mode == SINGLE_REFERENCE) {
if (!is_comp_pred) {
assert(curr_sse >= 0);
inter_modes_info_push(inter_modes_info, mode_rate, curr_sse,
rd_stats->rdcost, rd_stats, rd_stats_y,
rd_stats_uv, mbmi);
}
} else {
assert(curr_sse >= 0);
inter_modes_info_push(inter_modes_info, mode_rate, curr_sse,
rd_stats->rdcost, rd_stats, rd_stats_y,
rd_stats_uv, mbmi);
}
mbmi->skip = 0;
} else {
if (!av1_txfm_search(cpi, tile_data, x, bsize, rd_stats, rd_stats_y,
rd_stats_uv, rd_stats->rate, ref_best_rd)) {
if (rd_stats_y->rate == INT_MAX && mode_index == 0) {
if (cpi->sf.inter_sf.prune_single_motion_modes_by_simple_trans &&
!is_comp_pred) {
simple_states->early_skipped = 1;
}
return INT64_MAX;
}
continue;
}
const int64_t curr_rd = RDCOST(x->rdmult, rd_stats->rate, rd_stats->dist);
ref_best_rd = AOMMIN(ref_best_rd, curr_rd);
*disable_skip = 0;
if (cpi->sf.inter_sf.inter_mode_rd_model_estimation == 1) {
const int skip_ctx = av1_get_skip_context(xd);
inter_mode_data_push(tile_data, mbmi->sb_type, rd_stats->sse,
rd_stats->dist,
rd_stats_y->rate + rd_stats_uv->rate +
x->skip_cost[skip_ctx][mbmi->skip]);
}
}
if (this_mode == GLOBALMV || this_mode == GLOBAL_GLOBALMV) {
if (is_nontrans_global_motion(xd, xd->mi[0])) {
mbmi->interp_filters = av1_broadcast_interp_filter(
av1_unswitchable_filter(cm->interp_filter));
}
}
const int64_t tmp_rd = RDCOST(x->rdmult, rd_stats->rate, rd_stats->dist);
if (mode_index == 0) {
args->simple_rd[this_mode][mbmi->ref_mv_idx][mbmi->ref_frame[0]] = tmp_rd;
if (!is_comp_pred) {
simple_states->rd_stats = *rd_stats;
simple_states->rd_stats.rdcost = tmp_rd;
simple_states->rd_stats_y = *rd_stats_y;
simple_states->rd_stats_uv = *rd_stats_uv;
memcpy(simple_states->blk_skip, x->blk_skip,
sizeof(x->blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(simple_states->tx_type_map, xd->tx_type_map,
xd->n4_h * xd->n4_w);
simple_states->skip = mbmi->skip;
simple_states->disable_skip = *disable_skip;
}
}
if (mode_index == 0 || tmp_rd < best_rd) {
best_mbmi = *mbmi;
best_rd = tmp_rd;
best_rd_stats = *rd_stats;
best_rd_stats_y = *rd_stats_y;
best_rate_mv = tmp_rate_mv;
if (num_planes > 1) best_rd_stats_uv = *rd_stats_uv;
memcpy(best_blk_skip, x->blk_skip,
sizeof(x->blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(best_tx_type_map, xd->tx_type_map, xd->n4_h * xd->n4_w);
best_xskip = mbmi->skip;
best_disable_skip = *disable_skip;
// TODO(anyone): evaluate the quality and speed trade-off of the early
// termination logic below.
// if (best_xskip) break;
}
}
mbmi->ref_frame[1] = ref_frame_1;
*rate_mv = best_rate_mv;
if (best_rd == INT64_MAX) {
av1_invalid_rd_stats(rd_stats);
restore_dst_buf(xd, *orig_dst, num_planes);
return INT64_MAX;
}
*mbmi = best_mbmi;
*rd_stats = best_rd_stats;
*rd_stats_y = best_rd_stats_y;
if (num_planes > 1) *rd_stats_uv = best_rd_stats_uv;
memcpy(x->blk_skip, best_blk_skip,
sizeof(x->blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(xd->tx_type_map, best_tx_type_map, xd->n4_h * xd->n4_w);
x->force_skip = best_xskip;
*disable_skip = best_disable_skip;
restore_dst_buf(xd, *orig_dst, num_planes);
return 0;
}
static int64_t skip_mode_rd(RD_STATS *rd_stats, const AV1_COMP *const cpi,
MACROBLOCK *const x, BLOCK_SIZE bsize,
const BUFFER_SET *const orig_dst) {
assert(bsize < BLOCK_SIZES_ALL);
const AV1_COMMON *cm = &cpi->common;
const int num_planes = av1_num_planes(cm);
MACROBLOCKD *const xd = &x->e_mbd;
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, orig_dst, bsize, 0,
av1_num_planes(cm) - 1);
int64_t total_sse = 0;
for (int plane = 0; plane < num_planes; ++plane) {
const struct macroblock_plane *const p = &x->plane[plane];
const struct macroblockd_plane *const pd = &xd->plane[plane];
const BLOCK_SIZE plane_bsize =
get_plane_block_size(bsize, pd->subsampling_x, pd->subsampling_y);
const int bw = block_size_wide[plane_bsize];
const int bh = block_size_high[plane_bsize];
av1_subtract_plane(x, plane_bsize, plane);
int64_t sse = aom_sum_squares_2d_i16(p->src_diff, bw, bw, bh) << 4;
total_sse += sse;
}
const int skip_mode_ctx = av1_get_skip_mode_context(xd);
rd_stats->dist = rd_stats->sse = total_sse;
rd_stats->rate = x->skip_mode_cost[skip_mode_ctx][1];
rd_stats->rdcost = RDCOST(x->rdmult, rd_stats->rate, rd_stats->dist);
restore_dst_buf(xd, *orig_dst, num_planes);
return 0;
}
// Check NEARESTMV, NEARMV, GLOBALMV ref mvs for duplicate and skip the relevant
// mode
static INLINE int check_repeat_ref_mv(const MB_MODE_INFO_EXT *mbmi_ext,
int ref_idx,
const MV_REFERENCE_FRAME *ref_frame,
PREDICTION_MODE single_mode) {
const uint8_t ref_frame_type = av1_ref_frame_type(ref_frame);
const int ref_mv_count = mbmi_ext->ref_mv_count[ref_frame_type];
assert(single_mode != NEWMV);
if (single_mode == NEARESTMV) {
return 0;
} else if (single_mode == NEARMV) {
// when ref_mv_count = 0, NEARESTMV and NEARMV are same as GLOBALMV
// when ref_mv_count = 1, NEARMV is same as GLOBALMV
if (ref_mv_count < 2) return 1;
} else if (single_mode == GLOBALMV) {
// when ref_mv_count == 0, GLOBALMV is same as NEARESTMV
if (ref_mv_count == 0) return 1;
// when ref_mv_count == 1, NEARMV is same as GLOBALMV
else if (ref_mv_count == 1)
return 0;
int stack_size = AOMMIN(USABLE_REF_MV_STACK_SIZE, ref_mv_count);
// Check GLOBALMV is matching with any mv in ref_mv_stack
for (int ref_mv_idx = 0; ref_mv_idx < stack_size; ref_mv_idx++) {
int_mv this_mv;
if (ref_idx == 0)
this_mv = mbmi_ext->ref_mv_stack[ref_frame_type][ref_mv_idx].this_mv;
else
this_mv = mbmi_ext->ref_mv_stack[ref_frame_type][ref_mv_idx].comp_mv;
if (this_mv.as_int == mbmi_ext->global_mvs[ref_frame[ref_idx]].as_int)
return 1;
}
}
return 0;
}
static INLINE int get_this_mv(int_mv *this_mv, PREDICTION_MODE this_mode,
int ref_idx, int ref_mv_idx,
int skip_repeated_ref_mv,
const MV_REFERENCE_FRAME *ref_frame,
const MB_MODE_INFO_EXT *mbmi_ext) {
const int is_comp_pred = ref_frame[1] > INTRA_FRAME;
const PREDICTION_MODE single_mode =
get_single_mode(this_mode, ref_idx, is_comp_pred);
assert(is_inter_singleref_mode(single_mode));
if (single_mode == NEWMV) {
this_mv->as_int = INVALID_MV;
} else if (single_mode == GLOBALMV) {
if (skip_repeated_ref_mv &&
check_repeat_ref_mv(mbmi_ext, ref_idx, ref_frame, single_mode))
return 0;
*this_mv = mbmi_ext->global_mvs[ref_frame[ref_idx]];
} else {
assert(single_mode == NEARMV || single_mode == NEARESTMV);
const uint8_t ref_frame_type = av1_ref_frame_type(ref_frame);
const int ref_mv_offset = single_mode == NEARESTMV ? 0 : ref_mv_idx + 1;
if (ref_mv_offset < mbmi_ext->ref_mv_count[ref_frame_type]) {
assert(ref_mv_offset >= 0);
if (ref_idx == 0) {
*this_mv =
mbmi_ext->ref_mv_stack[ref_frame_type][ref_mv_offset].this_mv;
} else {
*this_mv =
mbmi_ext->ref_mv_stack[ref_frame_type][ref_mv_offset].comp_mv;
}
} else {
if (skip_repeated_ref_mv &&
check_repeat_ref_mv(mbmi_ext, ref_idx, ref_frame, single_mode))
return 0;
*this_mv = mbmi_ext->global_mvs[ref_frame[ref_idx]];
}
}
return 1;
}
// This function update the non-new mv for the current prediction mode
static INLINE int build_cur_mv(int_mv *cur_mv, PREDICTION_MODE this_mode,
const AV1_COMMON *cm, const MACROBLOCK *x,
int skip_repeated_ref_mv) {
const MACROBLOCKD *xd = &x->e_mbd;
const MB_MODE_INFO *mbmi = xd->mi[0];
const int is_comp_pred = has_second_ref(mbmi);
int ret = 1;
for (int i = 0; i < is_comp_pred + 1; ++i) {
int_mv this_mv;
this_mv.as_int = INVALID_MV;
ret = get_this_mv(&this_mv, this_mode, i, mbmi->ref_mv_idx,
skip_repeated_ref_mv, mbmi->ref_frame, x->mbmi_ext);
if (!ret) return 0;
const PREDICTION_MODE single_mode =
get_single_mode(this_mode, i, is_comp_pred);
if (single_mode == NEWMV) {
const uint8_t ref_frame_type = av1_ref_frame_type(mbmi->ref_frame);
cur_mv[i] =
(i == 0) ? x->mbmi_ext->ref_mv_stack[ref_frame_type][mbmi->ref_mv_idx]
.this_mv
: x->mbmi_ext->ref_mv_stack[ref_frame_type][mbmi->ref_mv_idx]
.comp_mv;
} else {
ret &= clamp_and_check_mv(cur_mv + i, this_mv, cm, x);
}
}
return ret;
}
static INLINE int get_drl_cost(const MB_MODE_INFO *mbmi,
const MB_MODE_INFO_EXT *mbmi_ext,
const int (*const drl_mode_cost0)[2],
int8_t ref_frame_type) {
int cost = 0;
if (mbmi->mode == NEWMV || mbmi->mode == NEW_NEWMV) {
for (int idx = 0; idx < 2; ++idx) {
if (mbmi_ext->ref_mv_count[ref_frame_type] > idx + 1) {
uint8_t drl_ctx = av1_drl_ctx(mbmi_ext->weight[ref_frame_type], idx);
cost += drl_mode_cost0[drl_ctx][mbmi->ref_mv_idx != idx];
if (mbmi->ref_mv_idx == idx) return cost;
}
}
return cost;
}
if (have_nearmv_in_inter_mode(mbmi->mode)) {
for (int idx = 1; idx < 3; ++idx) {
if (mbmi_ext->ref_mv_count[ref_frame_type] > idx + 1) {
uint8_t drl_ctx = av1_drl_ctx(mbmi_ext->weight[ref_frame_type], idx);
cost += drl_mode_cost0[drl_ctx][mbmi->ref_mv_idx != (idx - 1)];
if (mbmi->ref_mv_idx == (idx - 1)) return cost;
}
}
return cost;
}
return cost;
}
static INLINE int is_single_newmv_valid(const HandleInterModeArgs *const args,
const MB_MODE_INFO *const mbmi,
PREDICTION_MODE this_mode) {
for (int ref_idx = 0; ref_idx < 2; ++ref_idx) {
const PREDICTION_MODE single_mode = get_single_mode(this_mode, ref_idx, 1);
const MV_REFERENCE_FRAME ref = mbmi->ref_frame[ref_idx];
if (single_mode == NEWMV &&
args->single_newmv_valid[mbmi->ref_mv_idx][ref] == 0) {
return 0;
}
}
return 1;
}
static int get_drl_refmv_count(const MACROBLOCK *const x,
const MV_REFERENCE_FRAME *ref_frame,
PREDICTION_MODE mode) {
MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
const int8_t ref_frame_type = av1_ref_frame_type(ref_frame);
const int has_nearmv = have_nearmv_in_inter_mode(mode) ? 1 : 0;
const int ref_mv_count = mbmi_ext->ref_mv_count[ref_frame_type];
const int only_newmv = (mode == NEWMV || mode == NEW_NEWMV);
const int has_drl =
(has_nearmv && ref_mv_count > 2) || (only_newmv && ref_mv_count > 1);
const int ref_set =
has_drl ? AOMMIN(MAX_REF_MV_SEARCH, ref_mv_count - has_nearmv) : 1;
return ref_set;
}
// Whether this reference motion vector can be skipped, based on initial
// heuristics.
static bool ref_mv_idx_early_breakout(const AV1_COMP *const cpi, MACROBLOCK *x,
const HandleInterModeArgs *const args,
int64_t ref_best_rd, int ref_mv_idx) {
const SPEED_FEATURES *const sf = &cpi->sf;
MACROBLOCKD *xd = &x->e_mbd;
MB_MODE_INFO *mbmi = xd->mi[0];
const MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
const int8_t ref_frame_type = av1_ref_frame_type(mbmi->ref_frame);
const int is_comp_pred = has_second_ref(mbmi);
if (sf->inter_sf.reduce_inter_modes && ref_mv_idx > 0) {
if (mbmi->ref_frame[0] == LAST2_FRAME ||
mbmi->ref_frame[0] == LAST3_FRAME ||
mbmi->ref_frame[1] == LAST2_FRAME ||
mbmi->ref_frame[1] == LAST3_FRAME) {
const int has_nearmv = have_nearmv_in_inter_mode(mbmi->mode) ? 1 : 0;
if (mbmi_ext->weight[ref_frame_type][ref_mv_idx + has_nearmv] <
REF_CAT_LEVEL) {
return true;
}
}
// TODO(any): Experiment with reduce_inter_modes for compound prediction
if (sf->inter_sf.reduce_inter_modes >= 2 && !is_comp_pred &&
have_newmv_in_inter_mode(mbmi->mode)) {
if (mbmi->ref_frame[0] != cpi->nearest_past_ref &&
mbmi->ref_frame[0] != cpi->nearest_future_ref) {
const int has_nearmv = have_nearmv_in_inter_mode(mbmi->mode) ? 1 : 0;
if (mbmi_ext->weight[ref_frame_type][ref_mv_idx + has_nearmv] <
REF_CAT_LEVEL) {
return true;
}
}
}
}
if (sf->inter_sf.prune_single_motion_modes_by_simple_trans && !is_comp_pred &&
args->single_ref_first_pass == 0) {
if (args->simple_rd_state[ref_mv_idx].early_skipped) {
return true;
}
}
mbmi->ref_mv_idx = ref_mv_idx;
if (is_comp_pred && (!is_single_newmv_valid(args, mbmi, mbmi->mode))) {
return true;
}
size_t est_rd_rate = args->ref_frame_cost + args->single_comp_cost;
const int drl_cost =
get_drl_cost(mbmi, mbmi_ext, x->drl_mode_cost0, ref_frame_type);
est_rd_rate += drl_cost;
if (RDCOST(x->rdmult, est_rd_rate, 0) > ref_best_rd &&
mbmi->mode != NEARESTMV && mbmi->mode != NEAREST_NEARESTMV) {
return true;
}
return false;
}
typedef struct {
int64_t rd;
int drl_cost;
int rate_mv;
int_mv mv;
} inter_mode_info;
// Compute the estimated RD cost for the motion vector with simple translation.
static int64_t simple_translation_pred_rd(
AV1_COMP *const cpi, MACROBLOCK *x, RD_STATS *rd_stats,
HandleInterModeArgs *args, int ref_mv_idx, inter_mode_info *mode_info,
int64_t ref_best_rd, BLOCK_SIZE bsize) {
MACROBLOCKD *xd = &x->e_mbd;
MB_MODE_INFO *mbmi = xd->mi[0];
MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
const int8_t ref_frame_type = av1_ref_frame_type(mbmi->ref_frame);
const AV1_COMMON *cm = &cpi->common;
const int is_comp_pred = has_second_ref(mbmi);
struct macroblockd_plane *p = xd->plane;
const BUFFER_SET orig_dst = {
{ p[0].dst.buf, p[1].dst.buf, p[2].dst.buf },
{ p[0].dst.stride, p[1].dst.stride, p[2].dst.stride },
};
av1_init_rd_stats(rd_stats);
mbmi->interinter_comp.type = COMPOUND_AVERAGE;
mbmi->comp_group_idx = 0;
mbmi->compound_idx = 1;
if (mbmi->ref_frame[1] == INTRA_FRAME) {
mbmi->ref_frame[1] = NONE_FRAME;
}
int16_t mode_ctx =
av1_mode_context_analyzer(mbmi_ext->mode_context, mbmi->ref_frame);
mbmi->num_proj_ref = 0;
mbmi->motion_mode = SIMPLE_TRANSLATION;
mbmi->ref_mv_idx = ref_mv_idx;
rd_stats->rate += args->ref_frame_cost + args->single_comp_cost;
const int drl_cost =
get_drl_cost(mbmi, mbmi_ext, x->drl_mode_cost0, ref_frame_type);
rd_stats->rate += drl_cost;
mode_info[ref_mv_idx].drl_cost = drl_cost;
int_mv cur_mv[2];
if (!build_cur_mv(cur_mv, mbmi->mode, cm, x, 0)) {
return INT64_MAX;
}
assert(have_nearmv_in_inter_mode(mbmi->mode));
for (int i = 0; i < is_comp_pred + 1; ++i) {
mbmi->mv[i].as_int = cur_mv[i].as_int;
}
const int ref_mv_cost = cost_mv_ref(x, mbmi->mode, mode_ctx);
rd_stats->rate += ref_mv_cost;
if (RDCOST(x->rdmult, rd_stats->rate, 0) > ref_best_rd) {
return INT64_MAX;
}
mbmi->motion_mode = SIMPLE_TRANSLATION;
mbmi->num_proj_ref = 0;
if (is_comp_pred) {
// Only compound_average
mbmi->interinter_comp.type = COMPOUND_AVERAGE;
mbmi->comp_group_idx = 0;
mbmi->compound_idx = 1;
}
set_default_interp_filters(mbmi, cm->interp_filter);
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, &orig_dst, bsize,
AOM_PLANE_Y, AOM_PLANE_Y);
int est_rate;
int64_t est_dist;
model_rd_sb_fn[MODELRD_CURVFIT](cpi, bsize, x, xd, 0, 0, &est_rate, &est_dist,
NULL, NULL, NULL, NULL, NULL);
return RDCOST(x->rdmult, rd_stats->rate + est_rate, est_dist);
}
// Represents a set of integers, from 0 to sizeof(int) * 8, as bits in
// an integer. 0 for the i-th bit means that integer is excluded, 1 means
// it is included.
static INLINE void mask_set_bit(int *mask, int index) { *mask |= (1 << index); }
static INLINE bool mask_check_bit(int mask, int index) {
return (mask >> index) & 0x1;
}
// Before performing the full MV search in handle_inter_mode, do a simple
// translation search and see if we can eliminate any motion vectors.
// Returns an integer where, if the i-th bit is set, it means that the i-th
// motion vector should be searched. This is only set for NEAR_MV.
static int ref_mv_idx_to_search(AV1_COMP *const cpi, MACROBLOCK *x,
RD_STATS *rd_stats,
HandleInterModeArgs *const args,
int64_t ref_best_rd, inter_mode_info *mode_info,
BLOCK_SIZE bsize, const int ref_set) {
AV1_COMMON *const cm = &cpi->common;
const MACROBLOCKD *const xd = &x->e_mbd;
const MB_MODE_INFO *const mbmi = xd->mi[0];
const PREDICTION_MODE this_mode = mbmi->mode;
// Only search indices if they have some chance of being good.
int good_indices = 0;
for (int i = 0; i < ref_set; ++i) {
if (ref_mv_idx_early_breakout(cpi, x, args, ref_best_rd, i)) {
continue;
}
mask_set_bit(&good_indices, i);
}
// Only prune in NEARMV mode, if the speed feature is set, and the block size
// is large enough. If these conditions are not met, return all good indices
// found so far.
if (!cpi->sf.inter_sf.prune_mode_search_simple_translation)
return good_indices;
if (!have_nearmv_in_inter_mode(this_mode)) return good_indices;
if (num_pels_log2_lookup[bsize] <= 6) return good_indices;
// Do not prune when there is internal resizing. TODO(elliottk) fix this
// so b/2384 can be resolved.
if (av1_is_scaled(get_ref_scale_factors(cm, mbmi->ref_frame[0])) ||
(mbmi->ref_frame[1] > 0 &&
av1_is_scaled(get_ref_scale_factors(cm, mbmi->ref_frame[1])))) {
return good_indices;
}
// Calculate the RD cost for the motion vectors using simple translation.
int64_t idx_rdcost[] = { INT64_MAX, INT64_MAX, INT64_MAX };
for (int ref_mv_idx = 0; ref_mv_idx < ref_set; ++ref_mv_idx) {
// If this index is bad, ignore it.
if (!mask_check_bit(good_indices, ref_mv_idx)) {
continue;
}
idx_rdcost[ref_mv_idx] = simple_translation_pred_rd(
cpi, x, rd_stats, args, ref_mv_idx, mode_info, ref_best_rd, bsize);
}
// Find the index with the best RD cost.
int best_idx = 0;
for (int i = 1; i < MAX_REF_MV_SEARCH; ++i) {
if (idx_rdcost[i] < idx_rdcost[best_idx]) {
best_idx = i;
}
}
// Only include indices that are good and within a % of the best.
const double dth = has_second_ref(mbmi) ? 1.05 : 1.001;
// If the simple translation cost is not within this multiple of the
// best RD, skip it. Note that the cutoff is derived experimentally.
const double ref_dth = 5;
int result = 0;
for (int i = 0; i < ref_set; ++i) {
if (mask_check_bit(good_indices, i) &&
(1.0 * idx_rdcost[i]) / idx_rdcost[best_idx] < dth &&
(1.0 * idx_rdcost[i]) / ref_best_rd < ref_dth) {
mask_set_bit(&result, i);
}
}
return result;
}
typedef struct motion_mode_candidate {
MB_MODE_INFO mbmi;
int rate_mv;
int rate2_nocoeff;
int skip_motion_mode;
int64_t rd_cost;
} motion_mode_candidate;
typedef struct motion_mode_best_st_candidate {
motion_mode_candidate motion_mode_cand[MAX_WINNER_MOTION_MODES];
int num_motion_mode_cand;
} motion_mode_best_st_candidate;
static int64_t handle_inter_mode(AV1_COMP *const cpi, TileDataEnc *tile_data,
MACROBLOCK *x, BLOCK_SIZE bsize,
RD_STATS *rd_stats, RD_STATS *rd_stats_y,
RD_STATS *rd_stats_uv, int *disable_skip,
HandleInterModeArgs *args, int64_t ref_best_rd,
uint8_t *const tmp_buf,
const CompoundTypeRdBuffers *rd_buffers,
int64_t *best_est_rd, const int do_tx_search,
InterModesInfo *inter_modes_info,
motion_mode_candidate *motion_mode_cand) {
const AV1_COMMON *cm = &cpi->common;
const int num_planes = av1_num_planes(cm);
MACROBLOCKD *xd = &x->e_mbd;
MB_MODE_INFO *mbmi = xd->mi[0];
MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
const int is_comp_pred = has_second_ref(mbmi);
const PREDICTION_MODE this_mode = mbmi->mode;
int i;
const int refs[2] = { mbmi->ref_frame[0],
(mbmi->ref_frame[1] < 0 ? 0 : mbmi->ref_frame[1]) };
int rate_mv = 0;
int64_t rd = INT64_MAX;
// do first prediction into the destination buffer. Do the next
// prediction into a temporary buffer. Then keep track of which one
// of these currently holds the best predictor, and use the other
// one for future predictions. In the end, copy from tmp_buf to
// dst if necessary.
struct macroblockd_plane *p = xd->plane;
const BUFFER_SET orig_dst = {
{ p[0].dst.buf, p[1].dst.buf, p[2].dst.buf },
{ p[0].dst.stride, p[1].dst.stride, p[2].dst.stride },
};
const BUFFER_SET tmp_dst = { { tmp_buf, tmp_buf + 1 * MAX_SB_SQUARE,
tmp_buf + 2 * MAX_SB_SQUARE },
{ MAX_SB_SIZE, MAX_SB_SIZE, MAX_SB_SIZE } };
const int masked_compound_used = is_any_masked_compound_used(bsize) &&
cm->seq_params.enable_masked_compound;
int64_t ret_val = INT64_MAX;
const int8_t ref_frame_type = av1_ref_frame_type(mbmi->ref_frame);
RD_STATS best_rd_stats, best_rd_stats_y, best_rd_stats_uv;
int64_t best_rd = INT64_MAX;
uint8_t best_blk_skip[MAX_MIB_SIZE * MAX_MIB_SIZE];
uint8_t best_tx_type_map[MAX_MIB_SIZE * MAX_MIB_SIZE];
MB_MODE_INFO best_mbmi = *mbmi;
int best_disable_skip = 0;
int best_xskip = 0;
int64_t newmv_ret_val = INT64_MAX;
inter_mode_info mode_info[MAX_REF_MV_SEARCH];
int mode_search_mask = (1 << COMPOUND_AVERAGE) | (1 << COMPOUND_DISTWTD) |
(1 << COMPOUND_WEDGE) | (1 << COMPOUND_DIFFWTD);
// First, perform a simple translation search for each of the indices. If
// an index performs well, it will be fully searched here.
const int ref_set = get_drl_refmv_count(x, mbmi->ref_frame, this_mode);
// Save MV results from first 2 ref_mv_idx.
int_mv save_mv[MAX_REF_MV_SEARCH - 1][2] = { { { 0 } } };
int best_ref_mv_idx = -1;
const int idx_mask = ref_mv_idx_to_search(cpi, x, rd_stats, args, ref_best_rd,
mode_info, bsize, ref_set);
const int16_t mode_ctx =
av1_mode_context_analyzer(mbmi_ext->mode_context, mbmi->ref_frame);
const int ref_mv_cost = cost_mv_ref(x, this_mode, mode_ctx);
const int base_rate =
args->ref_frame_cost + args->single_comp_cost + ref_mv_cost;
for (int ref_mv_idx = 0; ref_mv_idx < ref_set; ++ref_mv_idx) {
mode_info[ref_mv_idx].mv.as_int = INVALID_MV;
mode_info[ref_mv_idx].rd = INT64_MAX;
if (!mask_check_bit(idx_mask, ref_mv_idx)) {
// MV did not perform well in simple translation search. Skip it.
continue;
}
av1_init_rd_stats(rd_stats);
mbmi->interinter_comp.type = COMPOUND_AVERAGE;
mbmi->comp_group_idx = 0;
mbmi->compound_idx = 1;
if (mbmi->ref_frame[1] == INTRA_FRAME) mbmi->ref_frame[1] = NONE_FRAME;
mbmi->num_proj_ref = 0;
mbmi->motion_mode = SIMPLE_TRANSLATION;
mbmi->ref_mv_idx = ref_mv_idx;
rd_stats->rate = base_rate;
const int drl_cost =
get_drl_cost(mbmi, mbmi_ext, x->drl_mode_cost0, ref_frame_type);
rd_stats->rate += drl_cost;
mode_info[ref_mv_idx].drl_cost = drl_cost;
int rs = 0;
int compmode_interinter_cost = 0;
int_mv cur_mv[2];
// TODO(Cherma): Extend this speed feature to support compound mode
int skip_repeated_ref_mv =
is_comp_pred ? 0 : cpi->sf.inter_sf.skip_repeated_ref_mv;
if (!build_cur_mv(cur_mv, this_mode, cm, x, skip_repeated_ref_mv)) {
continue;
}
if (have_newmv_in_inter_mode(this_mode)) {
#if CONFIG_COLLECT_COMPONENT_TIMING
start_timing(cpi, handle_newmv_time);
#endif
if (cpi->sf.inter_sf.prune_single_motion_modes_by_simple_trans &&
args->single_ref_first_pass == 0 && !is_comp_pred) {
const int ref0 = mbmi->ref_frame[0];
newmv_ret_val = args->single_newmv_valid[ref_mv_idx][ref0] ? 0 : 1;
cur_mv[0] = args->single_newmv[ref_mv_idx][ref0];
rate_mv = args->single_newmv_rate[ref_mv_idx][ref0];
} else {
newmv_ret_val = handle_newmv(cpi, x, bsize, cur_mv, &rate_mv, args);
}
#if CONFIG_COLLECT_COMPONENT_TIMING
end_timing(cpi, handle_newmv_time);
#endif
if (newmv_ret_val != 0) continue;
rd_stats->rate += rate_mv;
if (cpi->sf.inter_sf.skip_repeated_newmv) {
if (!is_comp_pred && this_mode == NEWMV && ref_mv_idx > 0) {
int skip = 0;
int this_rate_mv = 0;
for (i = 0; i < ref_mv_idx; ++i) {
// Check if the motion search result same as previous results
if (cur_mv[0].as_int == args->single_newmv[i][refs[0]].as_int &&
args->single_newmv_valid[i][refs[0]]) {
// If the compared mode has no valid rd, it is unlikely this
// mode will be the best mode
if (mode_info[i].rd == INT64_MAX) {
skip = 1;
break;
}
// Compare the cost difference including drl cost and mv cost
if (mode_info[i].mv.as_int != INVALID_MV) {
const int compare_cost =
mode_info[i].rate_mv + mode_info[i].drl_cost;
const int_mv ref_mv = av1_get_ref_mv(x, 0);
this_rate_mv = av1_mv_bit_cost(
&mode_info[i].mv.as_mv, &ref_mv.as_mv, x->nmv_vec_cost,
x->mv_cost_stack, MV_COST_WEIGHT);
const int this_cost = this_rate_mv + drl_cost;
if (compare_cost <= this_cost) {
skip = 1;
break;
} else {
// If the cost is less than current best result, make this
// the best and update corresponding variables unless the
// best_mv is the same as ref_mv. In this case we skip and
// rely on NEAR(EST)MV instead
if (best_mbmi.ref_mv_idx == i &&
mode_info[i].mv.as_int != ref_mv.as_int) {
assert(best_rd != INT64_MAX);
best_mbmi.ref_mv_idx = ref_mv_idx;
motion_mode_cand->rate_mv = this_rate_mv;
best_rd_stats.rate += this_cost - compare_cost;
best_rd = RDCOST(x->rdmult, best_rd_stats.rate,
best_rd_stats.dist);
if (best_rd < ref_best_rd) ref_best_rd = best_rd;
skip = 1;
break;
}
}
}
}
}
if (skip) {
const THR_MODES mode_enum = get_prediction_mode_idx(
best_mbmi.mode, best_mbmi.ref_frame[0], best_mbmi.ref_frame[1]);
// Collect mode stats for multiwinner mode processing
store_winner_mode_stats(
&cpi->common, x, &best_mbmi, &best_rd_stats, &best_rd_stats_y,
&best_rd_stats_uv, mode_enum, NULL, bsize, best_rd,
cpi->sf.winner_mode_sf.enable_multiwinner_mode_process,
do_tx_search);
args->modelled_rd[this_mode][ref_mv_idx][refs[0]] =
args->modelled_rd[this_mode][i][refs[0]];
args->simple_rd[this_mode][ref_mv_idx][refs[0]] =
args->simple_rd[this_mode][i][refs[0]];
mode_info[ref_mv_idx].rd = mode_info[i].rd;
mode_info[ref_mv_idx].rate_mv = this_rate_mv;
mode_info[ref_mv_idx].mv.as_int = mode_info[i].mv.as_int;
restore_dst_buf(xd, orig_dst, num_planes);
continue;
}
}
}
}
for (i = 0; i < is_comp_pred + 1; ++i) {
mbmi->mv[i].as_int = cur_mv[i].as_int;
}
if (RDCOST(x->rdmult, rd_stats->rate, 0) > ref_best_rd &&
mbmi->mode != NEARESTMV && mbmi->mode != NEAREST_NEARESTMV) {
continue;
}
if (cpi->sf.inter_sf.prune_ref_mv_idx_search && is_comp_pred) {
// TODO(yunqing): Move this part to a separate function when it is done.
// Store MV result.
if (ref_mv_idx < MAX_REF_MV_SEARCH - 1) {
for (i = 0; i < is_comp_pred + 1; ++i)
save_mv[ref_mv_idx][i].as_int = mbmi->mv[i].as_int;
}
// Skip the evaluation if an MV match is found.
if (ref_mv_idx > 0) {
int match = 0;
for (int idx = 0; idx < ref_mv_idx; ++idx) {
int mv_diff = 0;
for (i = 0; i < 1 + is_comp_pred; ++i) {
mv_diff += abs(save_mv[idx][i].as_mv.row - mbmi->mv[i].as_mv.row) +
abs(save_mv[idx][i].as_mv.col - mbmi->mv[i].as_mv.col);
}
// If this mode is not the best one, and current MV is similar to
// previous stored MV, terminate this ref_mv_idx evaluation.
if (best_ref_mv_idx == -1 && mv_diff < 1) {
match = 1;
break;
}
}
if (match == 1) continue;
}
}
#if CONFIG_COLLECT_COMPONENT_TIMING
start_timing(cpi, compound_type_rd_time);
#endif
int skip_build_pred = 0;
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
if (is_comp_pred) {
// Find matching interp filter or set to default interp filter
const int need_search = av1_is_interp_needed(xd);
const InterpFilter assign_filter = cm->interp_filter;
int is_luma_interp_done = 0;
av1_find_interp_filter_match(mbmi, cpi, assign_filter, need_search,
args->interp_filter_stats,
args->interp_filter_stats_idx);
int64_t best_rd_compound;
int64_t rd_thresh;
const int comp_type_rd_shift = COMP_TYPE_RD_THRESH_SHIFT;
const int comp_type_rd_scale = COMP_TYPE_RD_THRESH_SCALE;
rd_thresh = get_rd_thresh_from_best_rd(
ref_best_rd, (1 << comp_type_rd_shift), comp_type_rd_scale);
compmode_interinter_cost = av1_compound_type_rd(
cpi, x, bsize, cur_mv, mode_search_mask, masked_compound_used,
&orig_dst, &tmp_dst, rd_buffers, &rate_mv, &best_rd_compound,
rd_stats, ref_best_rd, &is_luma_interp_done, rd_thresh);
if (ref_best_rd < INT64_MAX &&
(best_rd_compound >> comp_type_rd_shift) * comp_type_rd_scale >
ref_best_rd) {
restore_dst_buf(xd, orig_dst, num_planes);
continue;
}
// No need to call av1_enc_build_inter_predictor for luma if
// COMPOUND_AVERAGE is selected because it is the first
// candidate in av1_compound_type_rd, and the following
// compound types searching uses tmp_dst buffer
if (mbmi->interinter_comp.type == COMPOUND_AVERAGE &&
is_luma_interp_done) {
if (num_planes > 1) {
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, &orig_dst,
bsize, AOM_PLANE_U, num_planes - 1);
}
skip_build_pred = 1;
}
}
#if CONFIG_COLLECT_COMPONENT_TIMING
end_timing(cpi, compound_type_rd_time);
#endif
#if CONFIG_COLLECT_COMPONENT_TIMING
start_timing(cpi, interpolation_filter_search_time);
#endif
ret_val = av1_interpolation_filter_search(
x, cpi, tile_data, bsize, &tmp_dst, &orig_dst, &rd, &rs,
&skip_build_pred, args, ref_best_rd);
#if CONFIG_COLLECT_COMPONENT_TIMING
end_timing(cpi, interpolation_filter_search_time);
#endif
if (args->modelled_rd != NULL && !is_comp_pred) {
args->modelled_rd[this_mode][ref_mv_idx][refs[0]] = rd;
}
if (ret_val != 0) {
restore_dst_buf(xd, orig_dst, num_planes);
continue;
} else if (cpi->sf.inter_sf.model_based_post_interp_filter_breakout &&
ref_best_rd != INT64_MAX && (rd >> 3) * 3 > ref_best_rd) {
restore_dst_buf(xd, orig_dst, num_planes);
continue;
}
if (args->modelled_rd != NULL) {
if (is_comp_pred) {
const int mode0 = compound_ref0_mode(this_mode);
const int mode1 = compound_ref1_mode(this_mode);
const int64_t mrd =
AOMMIN(args->modelled_rd[mode0][ref_mv_idx][refs[0]],
args->modelled_rd[mode1][ref_mv_idx][refs[1]]);
if ((rd >> 3) * 6 > mrd && ref_best_rd < INT64_MAX) {
restore_dst_buf(xd, orig_dst, num_planes);
continue;
}
}
}
rd_stats->rate += compmode_interinter_cost;
if (skip_build_pred != 1) {
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, &orig_dst, bsize, 0,
av1_num_planes(cm) - 1);
}
#if CONFIG_COLLECT_COMPONENT_TIMING
start_timing(cpi, motion_mode_rd_time);
#endif
int rate2_nocoeff = rd_stats->rate;
ret_val = motion_mode_rd(cpi, tile_data, x, bsize, rd_stats, rd_stats_y,
rd_stats_uv, disable_skip, args, ref_best_rd,
&rate_mv, &orig_dst, best_est_rd, do_tx_search,
inter_modes_info, 0);
#if CONFIG_COLLECT_COMPONENT_TIMING
end_timing(cpi, motion_mode_rd_time);
#endif
mode_info[ref_mv_idx].mv.as_int = mbmi->mv[0].as_int;
mode_info[ref_mv_idx].rate_mv = rate_mv;
if (ret_val != INT64_MAX) {
int64_t tmp_rd = RDCOST(x->rdmult, rd_stats->rate, rd_stats->dist);
mode_info[ref_mv_idx].rd = tmp_rd;
const THR_MODES mode_enum = get_prediction_mode_idx(
mbmi->mode, mbmi->ref_frame[0], mbmi->ref_frame[1]);
// Collect mode stats for multiwinner mode processing
store_winner_mode_stats(
&cpi->common, x, mbmi, rd_stats, rd_stats_y, rd_stats_uv, mode_enum,
NULL, bsize, tmp_rd,
cpi->sf.winner_mode_sf.enable_multiwinner_mode_process, do_tx_search);
if (tmp_rd < best_rd) {
best_rd_stats = *rd_stats;
best_rd_stats_y = *rd_stats_y;
best_rd_stats_uv = *rd_stats_uv;
best_rd = tmp_rd;
best_mbmi = *mbmi;
best_disable_skip = *disable_skip;
best_xskip = x->force_skip;
memcpy(best_blk_skip, x->blk_skip,
sizeof(best_blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(best_tx_type_map, xd->tx_type_map, xd->n4_h * xd->n4_w);
motion_mode_cand->rate_mv = rate_mv;
motion_mode_cand->rate2_nocoeff = rate2_nocoeff;
}
if (tmp_rd < ref_best_rd) {
ref_best_rd = tmp_rd;
best_ref_mv_idx = ref_mv_idx;
}
}
restore_dst_buf(xd, orig_dst, num_planes);
}
if (best_rd == INT64_MAX) return INT64_MAX;
// re-instate status of the best choice
*rd_stats = best_rd_stats;
*rd_stats_y = best_rd_stats_y;
*rd_stats_uv = best_rd_stats_uv;
*mbmi = best_mbmi;
*disable_skip = best_disable_skip;
x->force_skip = best_xskip;
assert(IMPLIES(mbmi->comp_group_idx == 1,
mbmi->interinter_comp.type != COMPOUND_AVERAGE));
memcpy(x->blk_skip, best_blk_skip,
sizeof(best_blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(xd->tx_type_map, best_tx_type_map, xd->n4_h * xd->n4_w);
rd_stats->rdcost = RDCOST(x->rdmult, rd_stats->rate, rd_stats->dist);
return rd_stats->rdcost;
}
static int64_t rd_pick_intrabc_mode_sb(const AV1_COMP *cpi, MACROBLOCK *x,
PICK_MODE_CONTEXT *ctx,
RD_STATS *rd_stats, BLOCK_SIZE bsize,
int64_t best_rd) {
const AV1_COMMON *const cm = &cpi->common;
if (!av1_allow_intrabc(cm) || !cpi->oxcf.enable_intrabc) return INT64_MAX;
const int num_planes = av1_num_planes(cm);
MACROBLOCKD *const xd = &x->e_mbd;
const TileInfo *tile = &xd->tile;
MB_MODE_INFO *mbmi = xd->mi[0];
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
const int w = block_size_wide[bsize];
const int h = block_size_high[bsize];
const int sb_row = mi_row >> cm->seq_params.mib_size_log2;
const int sb_col = mi_col >> cm->seq_params.mib_size_log2;
MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
MV_REFERENCE_FRAME ref_frame = INTRA_FRAME;
av1_find_mv_refs(cm, xd, mbmi, ref_frame, mbmi_ext->ref_mv_count,
xd->ref_mv_stack, xd->weight, NULL, mbmi_ext->global_mvs,
mbmi_ext->mode_context);
// TODO(Ravi): Populate mbmi_ext->ref_mv_stack[ref_frame][4] and
// mbmi_ext->weight[ref_frame][4] inside av1_find_mv_refs.
av1_copy_usable_ref_mv_stack_and_weight(xd, mbmi_ext, ref_frame);
int_mv nearestmv, nearmv;
av1_find_best_ref_mvs_from_stack(0, mbmi_ext, ref_frame, &nearestmv, &nearmv,
0);
if (nearestmv.as_int == INVALID_MV) {
nearestmv.as_int = 0;
}
if (nearmv.as_int == INVALID_MV) {
nearmv.as_int = 0;
}
int_mv dv_ref = nearestmv.as_int == 0 ? nearmv : nearestmv;
if (dv_ref.as_int == 0) {
av1_find_ref_dv(&dv_ref, tile, cm->seq_params.mib_size, mi_row, mi_col);
}
// Ref DV should not have sub-pel.
assert((dv_ref.as_mv.col & 7) == 0);
assert((dv_ref.as_mv.row & 7) == 0);
mbmi_ext->ref_mv_stack[INTRA_FRAME][0].this_mv = dv_ref;
struct buf_2d yv12_mb[MAX_MB_PLANE];
av1_setup_pred_block(xd, yv12_mb, xd->cur_buf, NULL, NULL, num_planes);
for (int i = 0; i < num_planes; ++i) {
xd->plane[i].pre[0] = yv12_mb[i];
}
enum IntrabcMotionDirection {
IBC_MOTION_ABOVE,
IBC_MOTION_LEFT,
IBC_MOTION_DIRECTIONS
};
MB_MODE_INFO best_mbmi = *mbmi;
RD_STATS best_rdstats = *rd_stats;
uint8_t best_blk_skip[MAX_MIB_SIZE * MAX_MIB_SIZE] = { 0 };
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);
for (enum IntrabcMotionDirection dir = IBC_MOTION_ABOVE;
dir < IBC_MOTION_DIRECTIONS; ++dir) {
const MvLimits tmp_mv_limits = x->mv_limits;
switch (dir) {
case IBC_MOTION_ABOVE:
x->mv_limits.col_min = (tile->mi_col_start - mi_col) * MI_SIZE;
x->mv_limits.col_max = (tile->mi_col_end - mi_col) * MI_SIZE - w;
x->mv_limits.row_min = (tile->mi_row_start - mi_row) * MI_SIZE;
x->mv_limits.row_max =
(sb_row * cm->seq_params.mib_size - mi_row) * MI_SIZE - h;
break;
case IBC_MOTION_LEFT:
x->mv_limits.col_min = (tile->mi_col_start - mi_col) * MI_SIZE;
x->mv_limits.col_max =
(sb_col * cm->seq_params.mib_size - mi_col) * MI_SIZE - w;
// TODO(aconverse@google.com): Minimize the overlap between above and
// left areas.
x->mv_limits.row_min = (tile->mi_row_start - mi_row) * MI_SIZE;
int bottom_coded_mi_edge =
AOMMIN((sb_row + 1) * cm->seq_params.mib_size, tile->mi_row_end);
x->mv_limits.row_max = (bottom_coded_mi_edge - mi_row) * MI_SIZE - h;
break;
default: assert(0);
}
assert(x->mv_limits.col_min >= tmp_mv_limits.col_min);
assert(x->mv_limits.col_max <= tmp_mv_limits.col_max);
assert(x->mv_limits.row_min >= tmp_mv_limits.row_min);
assert(x->mv_limits.row_max <= tmp_mv_limits.row_max);
av1_set_mv_search_range(&x->mv_limits, &dv_ref.as_mv);
if (x->mv_limits.col_max < x->mv_limits.col_min ||
x->mv_limits.row_max < x->mv_limits.row_min) {
x->mv_limits = tmp_mv_limits;
continue;
}
int step_param = cpi->mv_step_param;
MV mvp_full = dv_ref.as_mv;
mvp_full.col >>= 3;
mvp_full.row >>= 3;
const int sadpb = x->sadperbit16;
int cost_list[5];
const int bestsme = av1_full_pixel_search(
cpi, x, bsize, &mvp_full, step_param, 1, cpi->sf.mv_sf.search_method, 0,
sadpb, cond_cost_list(cpi, cost_list), &dv_ref.as_mv, INT_MAX, 1,
(MI_SIZE * mi_col), (MI_SIZE * mi_row), 1,
&cpi->ss_cfg[SS_CFG_LOOKAHEAD], 1);
x->mv_limits = tmp_mv_limits;
if (bestsme == INT_MAX) continue;
mvp_full = x->best_mv.as_mv;
const MV dv = { .row = mvp_full.row * 8, .col = mvp_full.col * 8 };
if (mv_check_bounds(&x->mv_limits, &dv)) continue;
if (!av1_is_dv_valid(dv, cm, xd, mi_row, mi_col, bsize,
cm->seq_params.mib_size_log2))
continue;
// DV should not have sub-pel.
assert((dv.col & 7) == 0);
assert((dv.row & 7) == 0);
memset(&mbmi->palette_mode_info, 0, sizeof(mbmi->palette_mode_info));
mbmi->filter_intra_mode_info.use_filter_intra = 0;
mbmi->use_intrabc = 1;
mbmi->mode = DC_PRED;
mbmi->uv_mode = UV_DC_PRED;
mbmi->motion_mode = SIMPLE_TRANSLATION;
mbmi->mv[0].as_mv = dv;
mbmi->interp_filters = av1_broadcast_interp_filter(BILINEAR);
mbmi->skip = 0;
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, 0,
av1_num_planes(cm) - 1);
int *dvcost[2] = { (int *)&cpi->dv_cost[0][MV_MAX],
(int *)&cpi->dv_cost[1][MV_MAX] };
// TODO(aconverse@google.com): The full motion field defining discount
// in MV_COST_WEIGHT is too large. Explore other values.
const int rate_mv = av1_mv_bit_cost(&dv, &dv_ref.as_mv, cpi->dv_joint_cost,
dvcost, MV_COST_WEIGHT_SUB);
const int rate_mode = x->intrabc_cost[1];
RD_STATS rd_stats_yuv, rd_stats_y, rd_stats_uv;
if (!av1_txfm_search(cpi, NULL, x, bsize, &rd_stats_yuv, &rd_stats_y,
&rd_stats_uv, rate_mode + rate_mv, INT64_MAX))
continue;
rd_stats_yuv.rdcost =
RDCOST(x->rdmult, rd_stats_yuv.rate, rd_stats_yuv.dist);
if (rd_stats_yuv.rdcost < best_rd) {
best_rd = rd_stats_yuv.rdcost;
best_mbmi = *mbmi;
best_rdstats = rd_stats_yuv;
memcpy(best_blk_skip, x->blk_skip,
sizeof(x->blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(best_tx_type_map, xd->tx_type_map, xd->n4_h * xd->n4_w);
}
}
*mbmi = best_mbmi;
*rd_stats = best_rdstats;
memcpy(x->blk_skip, best_blk_skip,
sizeof(x->blk_skip[0]) * xd->n4_h * xd->n4_w);
av1_copy_array(xd->tx_type_map, best_tx_type_map, ctx->num_4x4_blk);
#if CONFIG_RD_DEBUG
mbmi->rd_stats = *rd_stats;
#endif
return best_rd;
}
void av1_rd_pick_intra_mode_sb(const AV1_COMP *cpi, MACROBLOCK *x,
RD_STATS *rd_cost, BLOCK_SIZE bsize,
PICK_MODE_CONTEXT *ctx, int64_t best_rd) {
const AV1_COMMON *const cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
const int num_planes = av1_num_planes(cm);
int rate_y = 0, rate_uv = 0, rate_y_tokenonly = 0, rate_uv_tokenonly = 0;
int y_skip = 0, uv_skip = 0;
int64_t dist_y = 0, dist_uv = 0;
TX_SIZE max_uv_tx_size;
ctx->rd_stats.skip = 0;
mbmi->ref_frame[0] = INTRA_FRAME;
mbmi->ref_frame[1] = NONE_FRAME;
mbmi->use_intrabc = 0;
mbmi->mv[0].as_int = 0;
mbmi->skip_mode = 0;
const int64_t intra_yrd =
av1_rd_pick_intra_sby_mode(cpi, x, &rate_y, &rate_y_tokenonly, &dist_y,
&y_skip, bsize, best_rd, ctx);
// Initialize default mode evaluation params
set_mode_eval_params(cpi, x, DEFAULT_EVAL);
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
if (intra_yrd < best_rd) {
// 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.is_chroma_reference =
is_chroma_reference(mi_row, mi_col, bsize, cm->seq_params.subsampling_x,
cm->seq_params.subsampling_y);
xd->cfl.store_y = store_cfl_required_rdo(cm, x);
if (xd->cfl.store_y) {
// Restore reconstructed luma values.
memcpy(x->blk_skip, ctx->blk_skip,
sizeof(x->blk_skip[0]) * ctx->num_4x4_blk);
av1_copy_array(xd->tx_type_map, ctx->tx_type_map, ctx->num_4x4_blk);
av1_encode_intra_block_plane(cpi, x, bsize, AOM_PLANE_Y,
cpi->optimize_seg_arr[mbmi->segment_id]);
av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
xd->cfl.store_y = 0;
}
if (num_planes > 1) {
max_uv_tx_size = av1_get_tx_size(AOM_PLANE_U, xd);
init_sbuv_mode(mbmi);
if (!x->skip_chroma_rd)
av1_rd_pick_intra_sbuv_mode(cpi, x, &rate_uv, &rate_uv_tokenonly,
&dist_uv, &uv_skip, bsize, max_uv_tx_size);
}
// Intra block is always coded as non-skip
rd_cost->rate =
rate_y + rate_uv + x->skip_cost[av1_get_skip_context(xd)][0];
rd_cost->dist = dist_y + dist_uv;
rd_cost->rdcost = RDCOST(x->rdmult, rd_cost->rate, rd_cost->dist);
rd_cost->skip = 0;
} else {
rd_cost->rate = INT_MAX;
}
if (rd_cost->rate != INT_MAX && rd_cost->rdcost < best_rd)
best_rd = rd_cost->rdcost;
if (rd_pick_intrabc_mode_sb(cpi, x, ctx, rd_cost, bsize, best_rd) < best_rd) {
ctx->rd_stats.skip = mbmi->skip;
memcpy(ctx->blk_skip, x->blk_skip,
sizeof(x->blk_skip[0]) * ctx->num_4x4_blk);
assert(rd_cost->rate != INT_MAX);
}
if (rd_cost->rate == INT_MAX) return;
ctx->mic = *xd->mi[0];
ctx->mbmi_ext = *x->mbmi_ext;
av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
}
static AOM_INLINE void calc_target_weighted_pred(
const AV1_COMMON *cm, const MACROBLOCK *x, const MACROBLOCKD *xd,
const uint8_t *above, int above_stride, const uint8_t *left,
int left_stride);
static AOM_INLINE void rd_pick_skip_mode(
RD_STATS *rd_cost, InterModeSearchState *search_state,
const AV1_COMP *const cpi, MACROBLOCK *const x, BLOCK_SIZE bsize,
struct buf_2d yv12_mb[REF_FRAMES][MAX_MB_PLANE]) {
const AV1_COMMON *const cm = &cpi->common;
const SkipModeInfo *const skip_mode_info = &cm->current_frame.skip_mode_info;
const int num_planes = av1_num_planes(cm);
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
x->compound_idx = 1; // COMPOUND_AVERAGE
RD_STATS skip_mode_rd_stats;
av1_invalid_rd_stats(&skip_mode_rd_stats);
if (skip_mode_info->ref_frame_idx_0 == INVALID_IDX ||
skip_mode_info->ref_frame_idx_1 == INVALID_IDX) {
return;
}
const MV_REFERENCE_FRAME ref_frame =
LAST_FRAME + skip_mode_info->ref_frame_idx_0;
const MV_REFERENCE_FRAME second_ref_frame =
LAST_FRAME + skip_mode_info->ref_frame_idx_1;
const PREDICTION_MODE this_mode = NEAREST_NEARESTMV;
const THR_MODES mode_index =
get_prediction_mode_idx(this_mode, ref_frame, second_ref_frame);
if (mode_index == THR_INVALID) {
return;
}
if ((!cpi->oxcf.enable_onesided_comp ||
cpi->sf.inter_sf.disable_onesided_comp) &&
cpi->all_one_sided_refs) {
return;
}
mbmi->mode = this_mode;
mbmi->uv_mode = UV_DC_PRED;
mbmi->ref_frame[0] = ref_frame;
mbmi->ref_frame[1] = second_ref_frame;
const uint8_t ref_frame_type = av1_ref_frame_type(mbmi->ref_frame);
if (x->mbmi_ext->ref_mv_count[ref_frame_type] == UINT8_MAX) {
if (x->mbmi_ext->ref_mv_count[ref_frame] == UINT8_MAX ||
x->mbmi_ext->ref_mv_count[second_ref_frame] == UINT8_MAX) {
return;
}
MB_MODE_INFO_EXT *mbmi_ext = x->mbmi_ext;
av1_find_mv_refs(cm, xd, mbmi, ref_frame_type, mbmi_ext->ref_mv_count,
xd->ref_mv_stack, xd->weight, NULL, mbmi_ext->global_mvs,
mbmi_ext->mode_context);
// TODO(Ravi): Populate mbmi_ext->ref_mv_stack[ref_frame][4] and
// mbmi_ext->weight[ref_frame][4] inside av1_find_mv_refs.
av1_copy_usable_ref_mv_stack_and_weight(xd, mbmi_ext, ref_frame_type);
}
assert(this_mode == NEAREST_NEARESTMV);
if (!build_cur_mv(mbmi->mv, this_mode, cm, x, 0)) {
return;
}
mbmi->filter_intra_mode_info.use_filter_intra = 0;
mbmi->interintra_mode = (INTERINTRA_MODE)(II_DC_PRED - 1);
mbmi->comp_group_idx = 0;
mbmi->compound_idx = x->compound_idx;
mbmi->interinter_comp.type = COMPOUND_AVERAGE;
mbmi->motion_mode = SIMPLE_TRANSLATION;
mbmi->ref_mv_idx = 0;
mbmi->skip_mode = mbmi->skip = 1;
set_default_interp_filters(mbmi, cm->interp_filter);
set_ref_ptrs(cm, xd, mbmi->ref_frame[0], mbmi->ref_frame[1]);
for (int i = 0; i < num_planes; i++) {
xd->plane[i].pre[0] = yv12_mb[mbmi->ref_frame[0]][i];
xd->plane[i].pre[1] = yv12_mb[mbmi->ref_frame[1]][i];
}
BUFFER_SET orig_dst;
for (int i = 0; i < num_planes; i++) {
orig_dst.plane[i] = xd->plane[i].dst.buf;
orig_dst.stride[i] = xd->plane[i].dst.stride;
}
// Obtain the rdcost for skip_mode.
skip_mode_rd(&skip_mode_rd_stats, cpi, x, bsize, &orig_dst);
// Compare the use of skip_mode with the best intra/inter mode obtained.
const int skip_mode_ctx = av1_get_skip_mode_context(xd);
int64_t best_intra_inter_mode_cost = INT64_MAX;
if (rd_cost->dist < INT64_MAX && rd_cost->rate < INT32_MAX) {
best_intra_inter_mode_cost =
RDCOST(x->rdmult, rd_cost->rate + x->skip_mode_cost[skip_mode_ctx][0],
rd_cost->dist);
// Account for non-skip mode rate in total rd stats
rd_cost->rate += x->skip_mode_cost[skip_mode_ctx][0];
av1_rd_cost_update(x->rdmult, rd_cost);
}
if (skip_mode_rd_stats.rdcost <= best_intra_inter_mode_cost &&
(!xd->lossless[mbmi->segment_id] || skip_mode_rd_stats.dist == 0)) {
assert(mode_index != THR_INVALID);
search_state->best_mbmode.skip_mode = 1;
search_state->best_mbmode = *mbmi;
search_state->best_mbmode.skip_mode = search_state->best_mbmode.skip = 1;
search_state->best_mbmode.mode = NEAREST_NEARESTMV;
search_state->best_mbmode.ref_frame[0] = mbmi->ref_frame[0];
search_state->best_mbmode.ref_frame[1] = mbmi->ref_frame[1];
search_state->best_mbmode.mv[0].as_int = mbmi->mv[0].as_int;
search_state->best_mbmode.mv[1].as_int = mbmi->mv[1].as_int;
search_state->best_mbmode.ref_mv_idx = 0;
// Set up tx_size related variables for skip-specific loop filtering.
search_state->best_mbmode.tx_size =
block_signals_txsize(bsize)
? tx_size_from_tx_mode(bsize, x->tx_mode_search_type)
: max_txsize_rect_lookup[bsize];
memset(search_state->best_mbmode.inter_tx_size,
search_state->best_mbmode.tx_size,
sizeof(search_state->best_mbmode.inter_tx_size));
set_txfm_ctxs(search_state->best_mbmode.tx_size, xd->n4_w, xd->n4_h,
search_state->best_mbmode.skip && is_inter_block(mbmi), xd);
// Set up color-related variables for skip mode.
search_state->best_mbmode.uv_mode = UV_DC_PRED;
search_state->best_mbmode.palette_mode_info.palette_size[0] = 0;
search_state->best_mbmode.palette_mode_info.palette_size[1] = 0;
search_state->best_mbmode.comp_group_idx = 0;
search_state->best_mbmode.compound_idx = x->compound_idx;
search_state->best_mbmode.interinter_comp.type = COMPOUND_AVERAGE;
search_state->best_mbmode.motion_mode = SIMPLE_TRANSLATION;
search_state->best_mbmode.interintra_mode =
(INTERINTRA_MODE)(II_DC_PRED - 1);
search_state->best_mbmode.filter_intra_mode_info.use_filter_intra = 0;
set_default_interp_filters(&search_state->best_mbmode, cm->interp_filter);
search_state->best_mode_index = mode_index;
// Update rd_cost
rd_cost->rate = skip_mode_rd_stats.rate;
rd_cost->dist = rd_cost->sse = skip_mode_rd_stats.dist;
rd_cost->rdcost = skip_mode_rd_stats.rdcost;
search_state->best_rd = rd_cost->rdcost;
search_state->best_skip2 = 1;
search_state->best_mode_skippable = 1;
x->force_skip = 1;
}
}
// Get winner mode stats of given mode index
static AOM_INLINE MB_MODE_INFO *get_winner_mode_stats(
MACROBLOCK *x, MB_MODE_INFO *best_mbmode, RD_STATS *best_rd_cost,
int best_rate_y, int best_rate_uv, THR_MODES *best_mode_index,
RD_STATS **winner_rd_cost, int *winner_rate_y, int *winner_rate_uv,
THR_MODES *winner_mode_index, int enable_multiwinner_mode_process,
int mode_idx) {
MB_MODE_INFO *winner_mbmi;
if (enable_multiwinner_mode_process) {
assert(mode_idx >= 0 && mode_idx < x->winner_mode_count);
WinnerModeStats *winner_mode_stat = &x->winner_mode_stats[mode_idx];
winner_mbmi = &winner_mode_stat->mbmi;
*winner_rd_cost = &winner_mode_stat->rd_cost;
*winner_rate_y = winner_mode_stat->rate_y;
*winner_rate_uv = winner_mode_stat->rate_uv;
*winner_mode_index = winner_mode_stat->mode_index;
} else {
winner_mbmi = best_mbmode;
*winner_rd_cost = best_rd_cost;
*winner_rate_y = best_rate_y;
*winner_rate_uv = best_rate_uv;
*winner_mode_index = *best_mode_index;
}
return winner_mbmi;
}
// speed feature: fast intra/inter transform type search
// Used for speed >= 2
// When this speed feature is on, in rd mode search, only DCT is used.
// After the mode is determined, this function is called, to select
// transform types and get accurate rdcost.
static AOM_INLINE void refine_winner_mode_tx(
const AV1_COMP *cpi, MACROBLOCK *x, RD_STATS *rd_cost, BLOCK_SIZE bsize,
PICK_MODE_CONTEXT *ctx, THR_MODES *best_mode_index,
MB_MODE_INFO *best_mbmode, struct buf_2d yv12_mb[REF_FRAMES][MAX_MB_PLANE],
int best_rate_y, int best_rate_uv, int *best_skip2, int winner_mode_count) {
const AV1_COMMON *const cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
int64_t best_rd;
const int num_planes = av1_num_planes(cm);
if (!is_winner_mode_processing_enabled(cpi, best_mbmode, best_mbmode->mode))
return;
// Set params for winner mode evaluation
set_mode_eval_params(cpi, x, WINNER_MODE_EVAL);
// No best mode identified so far
if (*best_mode_index == THR_INVALID) return;
best_rd = RDCOST(x->rdmult, rd_cost->rate, rd_cost->dist);
for (int mode_idx = 0; mode_idx < winner_mode_count; mode_idx++) {
RD_STATS *winner_rd_stats = NULL;
int winner_rate_y = 0, winner_rate_uv = 0;
THR_MODES winner_mode_index = 0;
// TODO(any): Combine best mode and multi-winner mode processing paths
// Get winner mode stats for current mode index
MB_MODE_INFO *winner_mbmi = get_winner_mode_stats(
x, best_mbmode, rd_cost, best_rate_y, best_rate_uv, best_mode_index,
&winner_rd_stats, &winner_rate_y, &winner_rate_uv, &winner_mode_index,
cpi->sf.winner_mode_sf.enable_multiwinner_mode_process, mode_idx);
if (xd->lossless[winner_mbmi->segment_id] == 0 &&
winner_mode_index != THR_INVALID &&
is_winner_mode_processing_enabled(cpi, winner_mbmi,
winner_mbmi->mode)) {
RD_STATS rd_stats = *winner_rd_stats;
int skip_blk = 0;
RD_STATS rd_stats_y, rd_stats_uv;
const int skip_ctx = av1_get_skip_context(xd);
*mbmi = *winner_mbmi;
set_ref_ptrs(cm, xd, mbmi->ref_frame[0], mbmi->ref_frame[1]);
// Select prediction reference frames.
for (int i = 0; i < num_planes; i++) {
xd->plane[i].pre[0] = yv12_mb[mbmi->ref_frame[0]][i];
if (has_second_ref(mbmi))
xd->plane[i].pre[1] = yv12_mb[mbmi->ref_frame[1]][i];
}
if (is_inter_mode(mbmi->mode)) {
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, 0,
av1_num_planes(cm) - 1);
if (mbmi->motion_mode == OBMC_CAUSAL)
av1_build_obmc_inter_predictors_sb(cm, xd);
av1_subtract_plane(x, bsize, 0);
if (x->tx_mode_search_type == TX_MODE_SELECT &&
!xd->lossless[mbmi->segment_id]) {
av1_pick_tx_size_type_yrd(cpi, x, &rd_stats_y, bsize, INT64_MAX);
assert(rd_stats_y.rate != INT_MAX);
} else {
av1_super_block_yrd(cpi, x, &rd_stats_y, bsize, INT64_MAX);
memset(mbmi->inter_tx_size, mbmi->tx_size,
sizeof(mbmi->inter_tx_size));
for (int i = 0; i < xd->n4_h * xd->n4_w; ++i)
set_blk_skip(x, 0, i, rd_stats_y.skip);
}
} else {
av1_super_block_yrd(cpi, x, &rd_stats_y, bsize, INT64_MAX);
}
if (num_planes > 1) {
av1_super_block_uvrd(cpi, x, &rd_stats_uv, bsize, INT64_MAX);
} else {
av1_init_rd_stats(&rd_stats_uv);
}
if (is_inter_mode(mbmi->mode) &&
RDCOST(x->rdmult,
x->skip_cost[skip_ctx][0] + rd_stats_y.rate + rd_stats_uv.rate,
(rd_stats_y.dist + rd_stats_uv.dist)) >
RDCOST(x->rdmult, x->skip_cost[skip_ctx][1],
(rd_stats_y.sse + rd_stats_uv.sse))) {
skip_blk = 1;
rd_stats_y.rate = x->skip_cost[skip_ctx][1];
rd_stats_uv.rate = 0;
rd_stats_y.dist = rd_stats_y.sse;
rd_stats_uv.dist = rd_stats_uv.sse;
} else {
skip_blk = 0;
rd_stats_y.rate += x->skip_cost[skip_ctx][0];
}
int this_rate = rd_stats.rate + rd_stats_y.rate + rd_stats_uv.rate -
winner_rate_y - winner_rate_uv;
int64_t this_rd =
RDCOST(x->rdmult, this_rate, (rd_stats_y.dist + rd_stats_uv.dist));
if (best_rd > this_rd) {
*best_mbmode = *mbmi;
*best_mode_index = winner_mode_index;
av1_copy_array(ctx->blk_skip, x->blk_skip, ctx->num_4x4_blk);
av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
rd_cost->rate = this_rate;
rd_cost->dist = rd_stats_y.dist + rd_stats_uv.dist;
rd_cost->sse = rd_stats_y.sse + rd_stats_uv.sse;
rd_cost->rdcost = this_rd;
best_rd = this_rd;
*best_skip2 = skip_blk;
}
}
}
}
typedef struct {
// Mask for each reference frame, specifying which prediction modes to NOT try
// during search.
uint32_t pred_modes[REF_FRAMES];
// If ref_combo[i][j + 1] is true, do NOT try prediction using combination of
// reference frames (i, j).
// Note: indexing with 'j + 1' is due to the fact that 2nd reference can be -1
// (NONE_FRAME).
bool ref_combo[REF_FRAMES][REF_FRAMES + 1];
} mode_skip_mask_t;
// Update 'ref_combo' mask to disable given 'ref' in single and compound modes.
static AOM_INLINE void disable_reference(
MV_REFERENCE_FRAME ref, bool ref_combo[REF_FRAMES][REF_FRAMES + 1]) {
for (MV_REFERENCE_FRAME ref2 = NONE_FRAME; ref2 < REF_FRAMES; ++ref2) {
ref_combo[ref][ref2 + 1] = true;
}
}
// Update 'ref_combo' mask to disable all inter references except ALTREF.
static AOM_INLINE void disable_inter_references_except_altref(
bool ref_combo[REF_FRAMES][REF_FRAMES + 1]) {
disable_reference(LAST_FRAME, ref_combo);
disable_reference(LAST2_FRAME, ref_combo);
disable_reference(LAST3_FRAME, ref_combo);
disable_reference(GOLDEN_FRAME, ref_combo);
disable_reference(BWDREF_FRAME, ref_combo);
disable_reference(ALTREF2_FRAME, ref_combo);
}
static const MV_REFERENCE_FRAME reduced_ref_combos[][2] = {
{ LAST_FRAME, NONE_FRAME }, { ALTREF_FRAME, NONE_FRAME },
{ LAST_FRAME, ALTREF_FRAME }, { GOLDEN_FRAME, NONE_FRAME },
{ INTRA_FRAME, NONE_FRAME }, { GOLDEN_FRAME, ALTREF_FRAME },
{ LAST_FRAME, GOLDEN_FRAME }, { LAST_FRAME, INTRA_FRAME },
{ LAST_FRAME, BWDREF_FRAME }, { LAST_FRAME, LAST3_FRAME },
{ GOLDEN_FRAME, BWDREF_FRAME }, { GOLDEN_FRAME, INTRA_FRAME },
{ BWDREF_FRAME, NONE_FRAME }, { BWDREF_FRAME, ALTREF_FRAME },
{ ALTREF_FRAME, INTRA_FRAME }, { BWDREF_FRAME, INTRA_FRAME },
};
static const MV_REFERENCE_FRAME real_time_ref_combos[][2] = {
{ LAST_FRAME, NONE_FRAME },
{ ALTREF_FRAME, NONE_FRAME },
{ GOLDEN_FRAME, NONE_FRAME },
{ INTRA_FRAME, NONE_FRAME }
};
typedef enum { REF_SET_FULL, REF_SET_REDUCED, REF_SET_REALTIME } REF_SET;
static AOM_INLINE void default_skip_mask(mode_skip_mask_t *mask,
REF_SET ref_set) {
if (ref_set == REF_SET_FULL) {
// Everything available by default.
memset(mask, 0, sizeof(*mask));
} else {
// All modes available by default.
memset(mask->pred_modes, 0, sizeof(mask->pred_modes));
// All references disabled first.
for (MV_REFERENCE_FRAME ref1 = INTRA_FRAME; ref1 < REF_FRAMES; ++ref1) {
for (MV_REFERENCE_FRAME ref2 = NONE_FRAME; ref2 < REF_FRAMES; ++ref2) {
mask->ref_combo[ref1][ref2 + 1] = true;
}
}
const MV_REFERENCE_FRAME(*ref_set_combos)[2];
int num_ref_combos;
// Then enable reduced set of references explicitly.
switch (ref_set) {
case REF_SET_REDUCED:
ref_set_combos = reduced_ref_combos;
num_ref_combos =
(int)sizeof(reduced_ref_combos) / sizeof(reduced_ref_combos[0]);
break;
case REF_SET_REALTIME:
ref_set_combos = real_time_ref_combos;
num_ref_combos =
(int)sizeof(real_time_ref_combos) / sizeof(real_time_ref_combos[0]);
break;
default: assert(0); num_ref_combos = 0;
}
for (int i = 0; i < num_ref_combos; ++i) {
const MV_REFERENCE_FRAME *const this_combo = ref_set_combos[i];
mask->ref_combo[this_combo[0]][this_combo[1] + 1] = false;
}
}
}
static AOM_INLINE void init_mode_skip_mask(mode_skip_mask_t *mask,
const AV1_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE bsize) {
const AV1_COMMON *const cm = &cpi->common;
const struct segmentation *const seg = &cm->seg;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
unsigned char segment_id = mbmi->segment_id;
const SPEED_FEATURES *const sf = &cpi->sf;
REF_SET ref_set = REF_SET_FULL;
if (sf->rt_sf.use_real_time_ref_set)
ref_set = REF_SET_REALTIME;
else if (cpi->oxcf.enable_reduced_reference_set)
ref_set = REF_SET_REDUCED;
default_skip_mask(mask, ref_set);
int min_pred_mv_sad = INT_MAX;
MV_REFERENCE_FRAME ref_frame;
if (ref_set == REF_SET_REALTIME) {
// For real-time encoding, we only look at a subset of ref frames. So the
// threshold for pruning should be computed from this subset as well.
const int num_rt_refs =
sizeof(real_time_ref_combos) / sizeof(*real_time_ref_combos);
for (int r_idx = 0; r_idx < num_rt_refs; r_idx++) {
const MV_REFERENCE_FRAME ref = real_time_ref_combos[r_idx][0];
if (ref != INTRA_FRAME) {
min_pred_mv_sad = AOMMIN(min_pred_mv_sad, x->pred_mv_sad[ref]);
}
}
} else {
for (ref_frame = LAST_FRAME; ref_frame <= ALTREF_FRAME; ++ref_frame)
min_pred_mv_sad = AOMMIN(min_pred_mv_sad, x->pred_mv_sad[ref_frame]);
}
for (ref_frame = LAST_FRAME; ref_frame <= ALTREF_FRAME; ++ref_frame) {
if (!(cpi->ref_frame_flags & av1_ref_frame_flag_list[ref_frame])) {
// Skip checking missing reference in both single and compound reference
// modes.
disable_reference(ref_frame, mask->ref_combo);
} else {
// Skip fixed mv modes for poor references
if ((x->pred_mv_sad[ref_frame] >> 2) > min_pred_mv_sad) {
mask->pred_modes[ref_frame] |= INTER_NEAREST_NEAR_ZERO;
}
}
if (segfeature_active(seg, segment_id, SEG_LVL_REF_FRAME) &&
get_segdata(seg, segment_id, SEG_LVL_REF_FRAME) != (int)ref_frame) {
// Reference not used for the segment.
disable_reference(ref_frame, mask->ref_combo);
}
}
// Note: We use the following drop-out only if the SEG_LVL_REF_FRAME feature
// is disabled for this segment. This is to prevent the possibility that we
// end up unable to pick any mode.
if (!segfeature_active(seg, segment_id, SEG_LVL_REF_FRAME)) {
// Only consider GLOBALMV/ALTREF_FRAME for alt ref frame,
// unless ARNR filtering is enabled in which case we want
// an unfiltered alternative. We allow near/nearest as well
// because they may result in zero-zero MVs but be cheaper.
if (cpi->rc.is_src_frame_alt_ref && (cpi->oxcf.arnr_max_frames == 0)) {
disable_inter_references_except_altref(mask->ref_combo);
mask->pred_modes[ALTREF_FRAME] = ~INTER_NEAREST_NEAR_ZERO;
const MV_REFERENCE_FRAME tmp_ref_frames[2] = { ALTREF_FRAME, NONE_FRAME };
int_mv near_mv, nearest_mv, global_mv;
get_this_mv(&nearest_mv, NEARESTMV, 0, 0, 0, tmp_ref_frames, x->mbmi_ext);
get_this_mv(&near_mv, NEARMV, 0, 0, 0, tmp_ref_frames, x->mbmi_ext);
get_this_mv(&global_mv, GLOBALMV, 0, 0, 0, tmp_ref_frames, x->mbmi_ext);
if (near_mv.as_int != global_mv.as_int)
mask->pred_modes[ALTREF_FRAME] |= (1 << NEARMV);
if (nearest_mv.as_int != global_mv.as_int)
mask->pred_modes[ALTREF_FRAME] |= (1 << NEARESTMV);
}
}
if (cpi->rc.is_src_frame_alt_ref) {
if (sf->inter_sf.alt_ref_search_fp) {
assert(cpi->ref_frame_flags & av1_ref_frame_flag_list[ALTREF_FRAME]);
mask->pred_modes[ALTREF_FRAME] = 0;
disable_inter_references_except_altref(mask->ref_combo);
disable_reference(INTRA_FRAME, mask->ref_combo);
}
}
if (sf->inter_sf.alt_ref_search_fp) {
if (!cm->show_frame && x->best_pred_mv_sad < INT_MAX) {
int sad_thresh = x->best_pred_mv_sad + (x->best_pred_mv_sad >> 3);
// Conservatively skip the modes w.r.t. BWDREF, ALTREF2 and ALTREF, if
// those are past frames
for (ref_frame = BWDREF_FRAME; ref_frame <= ALTREF_FRAME; ref_frame++) {
if (cpi->ref_relative_dist[ref_frame - LAST_FRAME] < 0)
if (x->pred_mv_sad[ref_frame] > sad_thresh)
mask->pred_modes[ref_frame] |= INTER_ALL;
}
}
}
if (sf->inter_sf.adaptive_mode_search) {
if (cm->show_frame && !cpi->rc.is_src_frame_alt_ref &&
cpi->rc.frames_since_golden >= 3)
if ((x->pred_mv_sad[GOLDEN_FRAME] >> 1) > x->pred_mv_sad[LAST_FRAME])
mask->pred_modes[GOLDEN_FRAME] |= INTER_ALL;
}
if (bsize > sf->part_sf.max_intra_bsize) {
disable_reference(INTRA_FRAME, mask->ref_combo);
}
mask->pred_modes[INTRA_FRAME] |=
~(sf->intra_sf.intra_y_mode_mask[max_txsize_lookup[bsize]]);
}
static AOM_INLINE void init_pred_buf(const MACROBLOCK *const x,
HandleInterModeArgs *const args) {
const MACROBLOCKD *const xd = &x->e_mbd;
if (is_cur_buf_hbd(xd)) {
const int len = sizeof(uint16_t);
args->above_pred_buf[0] = CONVERT_TO_BYTEPTR(x->above_pred_buf);
args->above_pred_buf[1] =
CONVERT_TO_BYTEPTR(x->above_pred_buf + (MAX_SB_SQUARE >> 1) * len);
args->above_pred_buf[2] =
CONVERT_TO_BYTEPTR(x->above_pred_buf + MAX_SB_SQUARE * len);
args->left_pred_buf[0] = CONVERT_TO_BYTEPTR(x->left_pred_buf);
args->left_pred_buf[1] =
CONVERT_TO_BYTEPTR(x->left_pred_buf + (MAX_SB_SQUARE >> 1) * len);
args->left_pred_buf[2] =
CONVERT_TO_BYTEPTR(x->left_pred_buf + MAX_SB_SQUARE * len);
} else {
args->above_pred_buf[0] = x->above_pred_buf;
args->above_pred_buf[1] = x->above_pred_buf + (MAX_SB_SQUARE >> 1);
args->above_pred_buf[2] = x->above_pred_buf + MAX_SB_SQUARE;
args->left_pred_buf[0] = x->left_pred_buf;
args->left_pred_buf[1] = x->left_pred_buf + (MAX_SB_SQUARE >> 1);
args->left_pred_buf[2] = x->left_pred_buf + MAX_SB_SQUARE;
}
}
// Please add/modify parameter setting in this function, making it consistent
// and easy to read and maintain.
static AOM_INLINE void set_params_rd_pick_inter_mode(
const AV1_COMP *cpi, MACROBLOCK *x, HandleInterModeArgs *args,
BLOCK_SIZE bsize, mode_skip_mask_t *mode_skip_mask, int skip_ref_frame_mask,
unsigned int *ref_costs_single, unsigned int (*ref_costs_comp)[REF_FRAMES],
struct buf_2d (*yv12_mb)[MAX_MB_PLANE]) {
const AV1_COMMON *const cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
MB_MODE_INFO_EXT *const mbmi_ext = x->mbmi_ext;
unsigned char segment_id = mbmi->segment_id;
init_pred_buf(x, args);
av1_collect_neighbors_ref_counts(xd);
estimate_ref_frame_costs(cm, xd, x, segment_id, ref_costs_single,
ref_costs_comp);
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
MV_REFERENCE_FRAME ref_frame;
x->best_pred_mv_sad = INT_MAX;
for (ref_frame = LAST_FRAME; ref_frame <= ALTREF_FRAME; ++ref_frame) {
x->pred_mv_sad[ref_frame] = INT_MAX;
x->mbmi_ext->mode_context[ref_frame] = 0;
mbmi_ext->ref_mv_count[ref_frame] = UINT8_MAX;
if (cpi->ref_frame_flags & av1_ref_frame_flag_list[ref_frame]) {
if (mbmi->partition != PARTITION_NONE &&
mbmi->partition != PARTITION_SPLIT) {
if (skip_ref_frame_mask & (1 << ref_frame)) {
int skip = 1;
for (int r = ALTREF_FRAME + 1; r < MODE_CTX_REF_FRAMES; ++r) {
if (!(skip_ref_frame_mask & (1 << r))) {
const MV_REFERENCE_FRAME *rf = ref_frame_map[r - REF_FRAMES];
if (rf[0] == ref_frame || rf[1] == ref_frame) {
skip = 0;
break;
}
}
}
if (skip) continue;
}
}
assert(get_ref_frame_yv12_buf(cm, ref_frame) != NULL);
setup_buffer_ref_mvs_inter(cpi, x, ref_frame, bsize, yv12_mb);
}
// Store the best pred_mv_sad across all past frames
if (cpi->sf.inter_sf.alt_ref_search_fp &&
cpi->ref_relative_dist[ref_frame - LAST_FRAME] < 0)
x->best_pred_mv_sad =
AOMMIN(x->best_pred_mv_sad, x->pred_mv_sad[ref_frame]);
}
// ref_frame = ALTREF_FRAME
if (!cpi->sf.rt_sf.use_real_time_ref_set) {
// No second reference on RT ref set, so no need to initialize
for (; ref_frame < MODE_CTX_REF_FRAMES; ++ref_frame) {
x->mbmi_ext->mode_context[ref_frame] = 0;
mbmi_ext->ref_mv_count[ref_frame] = UINT8_MAX;
const MV_REFERENCE_FRAME *rf = ref_frame_map[ref_frame - REF_FRAMES];
if (!((cpi->ref_frame_flags & av1_ref_frame_flag_list[rf[0]]) &&
(cpi->ref_frame_flags & av1_ref_frame_flag_list[rf[1]]))) {
continue;
}
if (mbmi->partition != PARTITION_NONE &&
mbmi->partition != PARTITION_SPLIT) {
if (skip_ref_frame_mask & (1 << ref_frame)) {
continue;
}
}
av1_find_mv_refs(cm, xd, mbmi, ref_frame, mbmi_ext->ref_mv_count,
xd->ref_mv_stack, xd->weight, NULL, mbmi_ext->global_mvs,
mbmi_ext->mode_context);
// TODO(Ravi): Populate mbmi_ext->ref_mv_stack[ref_frame][4] and
// mbmi_ext->weight[ref_frame][4] inside av1_find_mv_refs.
av1_copy_usable_ref_mv_stack_and_weight(xd, mbmi_ext, ref_frame);
}
}
av1_count_overlappable_neighbors(cm, xd);
const FRAME_UPDATE_TYPE update_type = get_frame_update_type(&cpi->gf_group);
const int prune_obmc = cpi->obmc_probs[update_type][bsize] <
cpi->sf.inter_sf.prune_obmc_prob_thresh;
if (cpi->oxcf.enable_obmc && !cpi->sf.inter_sf.disable_obmc && !prune_obmc) {
if (check_num_overlappable_neighbors(mbmi) &&
is_motion_variation_allowed_bsize(bsize)) {
int dst_width1[MAX_MB_PLANE] = { MAX_SB_SIZE, MAX_SB_SIZE, MAX_SB_SIZE };
int dst_width2[MAX_MB_PLANE] = { MAX_SB_SIZE >> 1, MAX_SB_SIZE >> 1,
MAX_SB_SIZE >> 1 };
int dst_height1[MAX_MB_PLANE] = { MAX_SB_SIZE >> 1, MAX_SB_SIZE >> 1,
MAX_SB_SIZE >> 1 };
int dst_height2[MAX_MB_PLANE] = { MAX_SB_SIZE, MAX_SB_SIZE, MAX_SB_SIZE };
av1_build_prediction_by_above_preds(cm, xd, args->above_pred_buf,
dst_width1, dst_height1,
args->above_pred_stride);
av1_build_prediction_by_left_preds(cm, xd, args->left_pred_buf,
dst_width2, dst_height2,
args->left_pred_stride);
const int num_planes = av1_num_planes(cm);
av1_setup_dst_planes(xd->plane, bsize, &cm->cur_frame->buf, mi_row,
mi_col, 0, num_planes);
calc_target_weighted_pred(
cm, x, xd, args->above_pred_buf[0], args->above_pred_stride[0],
args->left_pred_buf[0], args->left_pred_stride[0]);
}
}
init_mode_skip_mask(mode_skip_mask, cpi, x, bsize);
// Set params for mode evaluation
set_mode_eval_params(cpi, x, MODE_EVAL);
x->comp_rd_stats_idx = 0;
}
static AOM_INLINE void init_intra_mode_search_state(
IntraModeSearchState *intra_search_state) {
intra_search_state->skip_intra_modes = 0;
intra_search_state->best_intra_mode = DC_PRED;
intra_search_state->angle_stats_ready = 0;
av1_zero(intra_search_state->directional_mode_skip_mask);
intra_search_state->rate_uv_intra = INT_MAX;
av1_zero(intra_search_state->pmi_uv);
for (int i = 0; i < REFERENCE_MODES; ++i)
intra_search_state->best_pred_rd[i] = INT64_MAX;
}
static AOM_INLINE void init_inter_mode_search_state(
InterModeSearchState *search_state, const AV1_COMP *cpi,
const MACROBLOCK *x, BLOCK_SIZE bsize, int64_t best_rd_so_far) {
init_intra_mode_search_state(&search_state->intra_search_state);
search_state->best_rd = best_rd_so_far;
av1_zero(search_state->best_mbmode);
search_state->best_rate_y = INT_MAX;
search_state->best_rate_uv = INT_MAX;
search_state->best_mode_skippable = 0;
search_state->best_skip2 = 0;
search_state->best_mode_index = THR_INVALID;
const MACROBLOCKD *const xd = &x->e_mbd;
const MB_MODE_INFO *const mbmi = xd->mi[0];
const unsigned char segment_id = mbmi->segment_id;
search_state->num_available_refs = 0;
memset(search_state->dist_refs, -1, sizeof(search_state->dist_refs));
memset(search_state->dist_order_refs, -1,
sizeof(search_state->dist_order_refs));
for (int i = 0; i <= LAST_NEW_MV_INDEX; ++i)
search_state->mode_threshold[i] = 0;
const int *const rd_threshes = cpi->rd.threshes[segment_id][bsize];
for (int i = LAST_NEW_MV_INDEX + 1; i < MAX_MODES; ++i)
search_state->mode_threshold[i] =
((int64_t)rd_threshes[i] * x->thresh_freq_fact[bsize][i]) >>
RD_THRESH_FAC_FRAC_BITS;
search_state->best_intra_rd = INT64_MAX;
search_state->best_pred_sse = UINT_MAX;
av1_zero(search_state->single_newmv);
av1_zero(search_state->single_newmv_rate);
av1_zero(search_state->single_newmv_valid);
for (int i = 0; i < MB_MODE_COUNT; ++i) {
for (int j = 0; j < MAX_REF_MV_SEARCH; ++j) {
for (int ref_frame = 0; ref_frame < REF_FRAMES; ++ref_frame) {
search_state->modelled_rd[i][j][ref_frame] = INT64_MAX;
search_state->simple_rd[i][j][ref_frame] = INT64_MAX;
}
}
}
for (int dir = 0; dir < 2; ++dir) {
for (int mode = 0; mode < SINGLE_INTER_MODE_NUM; ++mode) {
for (int ref_frame = 0; ref_frame < FWD_REFS; ++ref_frame) {
SingleInterModeState *state;
state = &search_state->single_state[dir][mode][ref_frame];
state->ref_frame = NONE_FRAME;
state->rd = INT64_MAX;
state = &search_state->single_state_modelled[dir][mode][ref_frame];
state->ref_frame = NONE_FRAME;
state->rd = INT64_MAX;
}
}
}
for (int dir = 0; dir < 2; ++dir) {
for (int mode = 0; mode < SINGLE_INTER_MODE_NUM; ++mode) {
for (int ref_frame = 0; ref_frame < FWD_REFS; ++ref_frame) {
search_state->single_rd_order[dir][mode][ref_frame] = NONE_FRAME;
}
}
}
av1_zero(search_state->single_state_cnt);
av1_zero(search_state->single_state_modelled_cnt);
}
static bool mask_says_skip(const mode_skip_mask_t *mode_skip_mask,
const MV_REFERENCE_FRAME *ref_frame,
const PREDICTION_MODE this_mode) {
if (mode_skip_mask->pred_modes[ref_frame[0]] & (1 << this_mode)) {
return true;
}
return mode_skip_mask->ref_combo[ref_frame[0]][ref_frame[1] + 1];
}
static int inter_mode_compatible_skip(const AV1_COMP *cpi, const MACROBLOCK *x,
BLOCK_SIZE bsize,
PREDICTION_MODE curr_mode,
const MV_REFERENCE_FRAME *ref_frames) {
const int comp_pred = ref_frames[1] > INTRA_FRAME;
if (comp_pred) {
if (!is_comp_ref_allowed(bsize)) return 1;
if (!(cpi->ref_frame_flags & av1_ref_frame_flag_list[ref_frames[1]])) {
return 1;
}
const AV1_COMMON *const cm = &cpi->common;
if (frame_is_intra_only(cm)) return 1;
const CurrentFrame *const current_frame = &cm->current_frame;
if (current_frame->reference_mode == SINGLE_REFERENCE) return 1;
const struct segmentation *const seg = &cm->seg;
const unsigned char segment_id = x->e_mbd.mi[0]->segment_id;
// Do not allow compound prediction if the segment level reference frame
// feature is in use as in this case there can only be one reference.
if (segfeature_active(seg, segment_id, SEG_LVL_REF_FRAME)) return 1;
}
if (ref_frames[0] > INTRA_FRAME && ref_frames[1] == INTRA_FRAME) {
// Mode must be compatible
if (!is_interintra_allowed_bsize(bsize)) return 1;
if (!is_interintra_allowed_mode(curr_mode)) return 1;
}
return 0;
}
static int fetch_picked_ref_frames_mask(const MACROBLOCK *const x,
BLOCK_SIZE bsize, int mib_size) {
const int sb_size_mask = mib_size - 1;
const MACROBLOCKD *const xd = &x->e_mbd;
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
const int mi_row_in_sb = mi_row & sb_size_mask;
const int mi_col_in_sb = mi_col & sb_size_mask;
const int mi_w = mi_size_wide[bsize];
const int mi_h = mi_size_high[bsize];
int picked_ref_frames_mask = 0;
for (int i = mi_row_in_sb; i < mi_row_in_sb + mi_h; ++i) {
for (int j = mi_col_in_sb; j < mi_col_in_sb + mi_w; ++j) {
picked_ref_frames_mask |= x->picked_ref_frames_mask[i * 32 + j];
}
}
return picked_ref_frames_mask;
}
// Case 1: return 0, means don't skip this mode
// Case 2: return 1, means skip this mode completely
// Case 3: return 2, means skip compound only, but still try single motion modes
static int inter_mode_search_order_independent_skip(
const AV1_COMP *cpi, const MACROBLOCK *x, mode_skip_mask_t *mode_skip_mask,
InterModeSearchState *search_state, int skip_ref_frame_mask,
PREDICTION_MODE mode, const MV_REFERENCE_FRAME *ref_frame) {
if (mask_says_skip(mode_skip_mask, ref_frame, mode)) {
return 1;
}
// This is only used in motion vector unit test.
if (cpi->oxcf.motion_vector_unit_test && ref_frame[0] == INTRA_FRAME)
return 1;
const AV1_COMMON *const cm = &cpi->common;
if (skip_repeated_mv(cm, x, mode, ref_frame, search_state)) {
return 1;
}
const int comp_pred = ref_frame[1] > INTRA_FRAME;
if ((!cpi->oxcf.enable_onesided_comp ||
cpi->sf.inter_sf.disable_onesided_comp) &&
comp_pred && cpi->all_one_sided_refs) {
return 1;
}
const MB_MODE_INFO *const mbmi = x->e_mbd.mi[0];
// If no valid mode has been found so far in PARTITION_NONE when finding a
// valid partition is required, do not skip mode.
if (search_state->best_rd == INT64_MAX && mbmi->partition == PARTITION_NONE &&
x->must_find_valid_partition)
return 0;
int skip_motion_mode = 0;
if (mbmi->partition != PARTITION_NONE && mbmi->partition != PARTITION_SPLIT) {
const int ref_type = av1_ref_frame_type(ref_frame);
int skip_ref = skip_ref_frame_mask & (1 << ref_type);
if (ref_type <= ALTREF_FRAME && skip_ref) {
// Since the compound ref modes depends on the motion estimation result of
// two single ref modes( best mv of single ref modes as the start point )
// If current single ref mode is marked skip, we need to check if it will
// be used in compound ref modes.
for (int r = ALTREF_FRAME + 1; r < MODE_CTX_REF_FRAMES; ++r) {
if (skip_ref_frame_mask & (1 << r)) continue;
const MV_REFERENCE_FRAME *rf = ref_frame_map[r - REF_FRAMES];
if (rf[0] == ref_type || rf[1] == ref_type) {
// Found a not skipped compound ref mode which contains current
// single ref. So this single ref can't be skipped completly
// Just skip it's motion mode search, still try it's simple
// transition mode.
skip_motion_mode = 1;
skip_ref = 0;
break;
}
}
}
if (skip_ref) return 1;
}
const SPEED_FEATURES *const sf = &cpi->sf;
if (ref_frame[0] == INTRA_FRAME) {
if (mode != DC_PRED) {
// Disable intra modes other than DC_PRED for blocks with low variance
// Threshold for intra skipping based on source variance
// TODO(debargha): Specialize the threshold for super block sizes
const unsigned int skip_intra_var_thresh = 64;
if ((sf->rt_sf.mode_search_skip_flags & FLAG_SKIP_INTRA_LOWVAR) &&
x->source_variance < skip_intra_var_thresh)
return 1;
}
}
if (prune_ref_by_selective_ref_frame(cpi, ref_frame,
cm->cur_frame->ref_display_order_hint,
cm->current_frame.display_order_hint))
return 1;
if (skip_motion_mode) return 2;
return 0;
}
static INLINE void init_mbmi(MB_MODE_INFO *mbmi, PREDICTION_MODE curr_mode,
const MV_REFERENCE_FRAME *ref_frames,
const AV1_COMMON *cm) {
PALETTE_MODE_INFO *const pmi = &mbmi->palette_mode_info;
mbmi->ref_mv_idx = 0;
mbmi->mode = curr_mode;
mbmi->uv_mode = UV_DC_PRED;
mbmi->ref_frame[0] = ref_frames[0];
mbmi->ref_frame[1] = ref_frames[1];
pmi->palette_size[0] = 0;
pmi->palette_size[1] = 0;
mbmi->filter_intra_mode_info.use_filter_intra = 0;
mbmi->mv[0].as_int = mbmi->mv[1].as_int = 0;
mbmi->motion_mode = SIMPLE_TRANSLATION;
mbmi->interintra_mode = (INTERINTRA_MODE)(II_DC_PRED - 1);
set_default_interp_filters(mbmi, cm->interp_filter);
}
static AOM_INLINE void collect_single_states(MACROBLOCK *x,
InterModeSearchState *search_state,
const MB_MODE_INFO *const mbmi) {
int i, j;
const MV_REFERENCE_FRAME ref_frame = mbmi->ref_frame[0];
const PREDICTION_MODE this_mode = mbmi->mode;
const int dir = ref_frame <= GOLDEN_FRAME ? 0 : 1;
const int mode_offset = INTER_OFFSET(this_mode);
const int ref_set = get_drl_refmv_count(x, mbmi->ref_frame, this_mode);
// Simple rd
int64_t simple_rd = search_state->simple_rd[this_mode][0][ref_frame];
for (int ref_mv_idx = 1; ref_mv_idx < ref_set; ++ref_mv_idx) {
const int64_t rd =
search_state->simple_rd[this_mode][ref_mv_idx][ref_frame];
if (rd < simple_rd) simple_rd = rd;
}
// Insertion sort of single_state
const SingleInterModeState this_state_s = { simple_rd, ref_frame, 1 };
SingleInterModeState *state_s = search_state->single_state[dir][mode_offset];
i = search_state->single_state_cnt[dir][mode_offset];
for (j = i; j > 0 && state_s[j - 1].rd > this_state_s.rd; --j)
state_s[j] = state_s[j - 1];
state_s[j] = this_state_s;
search_state->single_state_cnt[dir][mode_offset]++;
// Modelled rd
int64_t modelled_rd = search_state->modelled_rd[this_mode][0][ref_frame];
for (int ref_mv_idx = 1; ref_mv_idx < ref_set; ++ref_mv_idx) {
const int64_t rd =
search_state->modelled_rd[this_mode][ref_mv_idx][ref_frame];
if (rd < modelled_rd) modelled_rd = rd;
}
// Insertion sort of single_state_modelled
const SingleInterModeState this_state_m = { modelled_rd, ref_frame, 1 };
SingleInterModeState *state_m =
search_state->single_state_modelled[dir][mode_offset];
i = search_state->single_state_modelled_cnt[dir][mode_offset];
for (j = i; j > 0 && state_m[j - 1].rd > this_state_m.rd; --j)
state_m[j] = state_m[j - 1];
state_m[j] = this_state_m;
search_state->single_state_modelled_cnt[dir][mode_offset]++;
}
static AOM_INLINE void analyze_single_states(
const AV1_COMP *cpi, InterModeSearchState *search_state) {
const int prune_level = cpi->sf.inter_sf.prune_comp_search_by_single_result;
assert(prune_level >= 1);
int i, j, dir, mode;
for (dir = 0; dir < 2; ++dir) {
int64_t best_rd;
SingleInterModeState(*state)[FWD_REFS];
const int prune_factor = prune_level >= 2 ? 6 : 5;
// Use the best rd of GLOBALMV or NEWMV to prune the unlikely
// reference frames for all the modes (NEARESTMV and NEARMV may not
// have same motion vectors). Always keep the best of each mode
// because it might form the best possible combination with other mode.
state = search_state->single_state[dir];
best_rd = AOMMIN(state[INTER_OFFSET(NEWMV)][0].rd,
state[INTER_OFFSET(GLOBALMV)][0].rd);
for (mode = 0; mode < SINGLE_INTER_MODE_NUM; ++mode) {
for (i = 1; i < search_state->single_state_cnt[dir][mode]; ++i) {
if (state[mode][i].rd != INT64_MAX &&
(state[mode][i].rd >> 3) * prune_factor > best_rd) {
state[mode][i].valid = 0;
}
}
}
state = search_state->single_state_modelled[dir];
best_rd = AOMMIN(state[INTER_OFFSET(NEWMV)][0].rd,
state[INTER_OFFSET(GLOBALMV)][0].rd);
for (mode = 0; mode < SINGLE_INTER_MODE_NUM; ++mode) {
for (i = 1; i < search_state->single_state_modelled_cnt[dir][mode]; ++i) {
if (state[mode][i].rd != INT64_MAX &&
(state[mode][i].rd >> 3) * prune_factor > best_rd) {
state[mode][i].valid = 0;
}
}
}
}
// Ordering by simple rd first, then by modelled rd
for (dir = 0; dir < 2; ++dir) {
for (mode = 0; mode < SINGLE_INTER_MODE_NUM; ++mode) {
const int state_cnt_s = search_state->single_state_cnt[dir][mode];
const int state_cnt_m =
search_state->single_state_modelled_cnt[dir][mode];
SingleInterModeState *state_s = search_state->single_state[dir][mode];
SingleInterModeState *state_m =
search_state->single_state_modelled[dir][mode];
int count = 0;
const int max_candidates = AOMMAX(state_cnt_s, state_cnt_m);
for (i = 0; i < state_cnt_s; ++i) {
if (state_s[i].rd == INT64_MAX) break;
if (state_s[i].valid) {
search_state->single_rd_order[dir][mode][count++] =
state_s[i].ref_frame;
}
}
if (count >= max_candidates) continue;
for (i = 0; i < state_cnt_m && count < max_candidates; ++i) {
if (state_m[i].rd == INT64_MAX) break;
if (!state_m[i].valid) continue;
const int ref_frame = state_m[i].ref_frame;
int match = 0;
// Check if existing already
for (j = 0; j < count; ++j) {
if (search_state->single_rd_order[dir][mode][j] == ref_frame) {
match = 1;
break;
}
}
if (match) continue;
// Check if this ref_frame is removed in simple rd
int valid = 1;
for (j = 0; j < state_cnt_s; ++j) {
if (ref_frame == state_s[j].ref_frame) {
valid = state_s[j].valid;
break;
}
}
if (valid) {
search_state->single_rd_order[dir][mode][count++] = ref_frame;
}
}
}
}
}
static int compound_skip_get_candidates(
const AV1_COMP *cpi, const InterModeSearchState *search_state,
const int dir, const PREDICTION_MODE mode) {
const int mode_offset = INTER_OFFSET(mode);
const SingleInterModeState *state =
search_state->single_state[dir][mode_offset];
const SingleInterModeState *state_modelled =
search_state->single_state_modelled[dir][mode_offset];
int max_candidates = 0;
for (int i = 0; i < FWD_REFS; ++i) {
if (search_state->single_rd_order[dir][mode_offset][i] == NONE_FRAME) break;
max_candidates++;
}
int candidates = max_candidates;
if (cpi->sf.inter_sf.prune_comp_search_by_single_result >= 2) {
candidates = AOMMIN(2, max_candidates);
}
if (cpi->sf.inter_sf.prune_comp_search_by_single_result >= 3) {
if (state[0].rd != INT64_MAX && state_modelled[0].rd != INT64_MAX &&
state[0].ref_frame == state_modelled[0].ref_frame)
candidates = 1;
if (mode == NEARMV || mode == GLOBALMV) candidates = 1;
}
if (cpi->sf.inter_sf.prune_comp_search_by_single_result >= 4) {
// Limit the number of candidates to 1 in each direction for compound
// prediction
candidates = AOMMIN(1, candidates);
}
return candidates;
}
static int compound_skip_by_single_states(
const AV1_COMP *cpi, const InterModeSearchState *search_state,
const PREDICTION_MODE this_mode, const MV_REFERENCE_FRAME ref_frame,
const MV_REFERENCE_FRAME second_ref_frame, const MACROBLOCK *x) {
const MV_REFERENCE_FRAME refs[2] = { ref_frame, second_ref_frame };
const int mode[2] = { compound_ref0_mode(this_mode),
compound_ref1_mode(this_mode) };
const int mode_offset[2] = { INTER_OFFSET(mode[0]), INTER_OFFSET(mode[1]) };
const int mode_dir[2] = { refs[0] <= GOLDEN_FRAME ? 0 : 1,
refs[1] <= GOLDEN_FRAME ? 0 : 1 };
int ref_searched[2] = { 0, 0 };
int ref_mv_match[2] = { 1, 1 };
int i, j;
for (i = 0; i < 2; ++i) {
const SingleInterModeState *state =
search_state->single_state[mode_dir[i]][mode_offset[i]];
const int state_cnt =
search_state->single_state_cnt[mode_dir[i]][mode_offset[i]];
for (j = 0; j < state_cnt; ++j) {
if (state[j].ref_frame == refs[i]) {
ref_searched[i] = 1;
break;
}
}
}
const int ref_set = get_drl_refmv_count(x, refs, this_mode);
for (i = 0; i < 2; ++i) {
if (!ref_searched[i] || (mode[i] != NEARESTMV && mode[i] != NEARMV)) {
continue;
}
const MV_REFERENCE_FRAME single_refs[2] = { refs[i], NONE_FRAME };
for (int ref_mv_idx = 0; ref_mv_idx < ref_set; ref_mv_idx++) {
int_mv single_mv;
int_mv comp_mv;
get_this_mv(&single_mv, mode[i], 0, ref_mv_idx, 0, single_refs,
x->mbmi_ext);
get_this_mv(&comp_mv, this_mode, i, ref_mv_idx, 0, refs, x->mbmi_ext);
if (single_mv.as_int != comp_mv.as_int) {
ref_mv_match[i] = 0;
break;
}
}
}
for (i = 0; i < 2; ++i) {
if (!ref_searched[i] || !ref_mv_match[i]) continue;
const int candidates =
compound_skip_get_candidates(cpi, search_state, mode_dir[i], mode[i]);
const MV_REFERENCE_FRAME *ref_order =
search_state->single_rd_order[mode_dir[i]][mode_offset[i]];
int match = 0;
for (j = 0; j < candidates; ++j) {
if (refs[i] == ref_order[j]) {
match = 1;
break;
}
}
if (!match) return 1;
}
return 0;
}
static int compare_int64(const void *a, const void *b) {
int64_t a64 = *((int64_t *)a);
int64_t b64 = *((int64_t *)b);
if (a64 < b64) {
return -1;
} else if (a64 == b64) {
return 0;
} else {
return 1;
}
}
static INLINE void update_search_state(
InterModeSearchState *search_state, RD_STATS *best_rd_stats_dst,
PICK_MODE_CONTEXT *ctx, const RD_STATS *new_best_rd_stats,
const RD_STATS *new_best_rd_stats_y, const RD_STATS *new_best_rd_stats_uv,
THR_MODES new_best_mode, const MACROBLOCK *x, int txfm_search_done) {
const MACROBLOCKD *xd = &x->e_mbd;
const MB_MODE_INFO *mbmi = xd->mi[0];
const int skip_ctx = av1_get_skip_context(xd);
const int mode_is_intra =
(av1_mode_defs[new_best_mode].mode < INTRA_MODE_END);
const int skip = mbmi->skip && !mode_is_intra;
search_state->best_rd = new_best_rd_stats->rdcost;
search_state->best_mode_index = new_best_mode;
*best_rd_stats_dst = *new_best_rd_stats;
search_state->best_mbmode = *mbmi;
search_state->best_skip2 = skip;
search_state->best_mode_skippable = new_best_rd_stats->skip;
// When !txfm_search_done, new_best_rd_stats won't provide correct rate_y and
// rate_uv because av1_txfm_search process is replaced by rd estimation.
// Therfore, we should avoid updating best_rate_y and best_rate_uv here.
// These two values will be updated when av1_txfm_search is called.
if (txfm_search_done) {
search_state->best_rate_y =
new_best_rd_stats_y->rate +
x->skip_cost[skip_ctx][new_best_rd_stats->skip || skip];
search_state->best_rate_uv = new_best_rd_stats_uv->rate;
}
memcpy(ctx->blk_skip, x->blk_skip, sizeof(x->blk_skip[0]) * ctx->num_4x4_blk);
av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
}
// Find the best RD for a reference frame (among single reference modes)
// and store +10% of it in the 0-th element in ref_frame_rd.
static AOM_INLINE void find_top_ref(int64_t ref_frame_rd[REF_FRAMES]) {
assert(ref_frame_rd[0] == INT64_MAX);
int64_t ref_copy[REF_FRAMES - 1];
memcpy(ref_copy, ref_frame_rd + 1,
sizeof(ref_frame_rd[0]) * (REF_FRAMES - 1));
qsort(ref_copy, REF_FRAMES - 1, sizeof(int64_t), compare_int64);
int64_t cutoff = ref_copy[0];
// The cut-off is within 10% of the best.
if (cutoff != INT64_MAX) {
assert(cutoff < INT64_MAX / 200);
cutoff = (110 * cutoff) / 100;
}
ref_frame_rd[0] = cutoff;
}
// Check if either frame is within the cutoff.
static INLINE bool in_single_ref_cutoff(int64_t ref_frame_rd[REF_FRAMES],
MV_REFERENCE_FRAME frame1,
MV_REFERENCE_FRAME frame2) {
assert(frame2 > 0);
return ref_frame_rd[frame1] <= ref_frame_rd[0] ||
ref_frame_rd[frame2] <= ref_frame_rd[0];
}
static AOM_INLINE void evaluate_motion_mode_for_winner_candidates(
const AV1_COMP *const cpi, MACROBLOCK *const x, RD_STATS *const rd_cost,
HandleInterModeArgs *const args, TileDataEnc *const tile_data,
PICK_MODE_CONTEXT *const ctx,
struct buf_2d yv12_mb[REF_FRAMES][MAX_MB_PLANE],
const motion_mode_best_st_candidate *const best_motion_mode_cands,
int do_tx_search, const BLOCK_SIZE bsize, int64_t *const best_est_rd,
InterModeSearchState *const search_state) {
const AV1_COMMON *const cm = &cpi->common;
const int num_planes = av1_num_planes(cm);
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
InterModesInfo *const inter_modes_info = x->inter_modes_info;
const int num_best_cand = best_motion_mode_cands->num_motion_mode_cand;
for (int cand = 0; cand < num_best_cand; cand++) {
RD_STATS rd_stats;
RD_STATS rd_stats_y;
RD_STATS rd_stats_uv;
av1_init_rd_stats(&rd_stats);
av1_init_rd_stats(&rd_stats_y);
av1_init_rd_stats(&rd_stats_uv);
int disable_skip = 0, rate_mv;
rate_mv = best_motion_mode_cands->motion_mode_cand[cand].rate_mv;
args->skip_motion_mode =
best_motion_mode_cands->motion_mode_cand[cand].skip_motion_mode;
*mbmi = best_motion_mode_cands->motion_mode_cand[cand].mbmi;
rd_stats.rate =
best_motion_mode_cands->motion_mode_cand[cand].rate2_nocoeff;
// Continue if the best candidate is compound.
if (!is_inter_singleref_mode(mbmi->mode)) continue;
x->force_skip = 0;
const int mode_index = get_prediction_mode_idx(
mbmi->mode, mbmi->ref_frame[0], mbmi->ref_frame[1]);
struct macroblockd_plane *p = xd->plane;
const BUFFER_SET orig_dst = {
{ p[0].dst.buf, p[1].dst.buf, p[2].dst.buf },
{ p[0].dst.stride, p[1].dst.stride, p[2].dst.stride },
};
set_ref_ptrs(cm, xd, mbmi->ref_frame[0], mbmi->ref_frame[1]);
args->simple_rd_state = x->simple_rd_state[mode_index];
// Initialize motion mode to simple translation
// Calculation of switchable rate depends on it.
mbmi->motion_mode = 0;
const int is_comp_pred = mbmi->ref_frame[1] > INTRA_FRAME;
for (int i = 0; i < num_planes; i++) {
xd->plane[i].pre[0] = yv12_mb[mbmi->ref_frame[0]][i];
if (is_comp_pred) xd->plane[i].pre[1] = yv12_mb[mbmi->ref_frame[1]][i];
}
int64_t ret_value = motion_mode_rd(
cpi, tile_data, x, bsize, &rd_stats, &rd_stats_y, &rd_stats_uv,
&disable_skip, args, search_state->best_rd, &rate_mv, &orig_dst,
best_est_rd, do_tx_search, inter_modes_info, 1);
if (ret_value != INT64_MAX) {
rd_stats.rdcost = RDCOST(x->rdmult, rd_stats.rate, rd_stats.dist);
const THR_MODES mode_enum = get_prediction_mode_idx(
mbmi->mode, mbmi->ref_frame[0], mbmi->ref_frame[1]);
// Collect mode stats for multiwinner mode processing
store_winner_mode_stats(
&cpi->common, x, mbmi, &rd_stats, &rd_stats_y, &rd_stats_uv,
mode_enum, NULL, bsize, rd_stats.rdcost,
cpi->sf.winner_mode_sf.enable_multiwinner_mode_process, do_tx_search);
if (rd_stats.rdcost < search_state->best_rd) {
update_search_state(search_state, rd_cost, ctx, &rd_stats, &rd_stats_y,
&rd_stats_uv, mode_enum, x, do_tx_search);
}
}
}
}
void av1_rd_pick_inter_mode_sb(AV1_COMP *cpi, TileDataEnc *tile_data,
MACROBLOCK *x, RD_STATS *rd_cost,
const BLOCK_SIZE bsize, PICK_MODE_CONTEXT *ctx,
int64_t best_rd_so_far) {
AV1_COMMON *const cm = &cpi->common;
const int num_planes = av1_num_planes(cm);
const SPEED_FEATURES *const sf = &cpi->sf;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
int i;
const int *comp_inter_cost =
x->comp_inter_cost[av1_get_reference_mode_context(xd)];
InterModeSearchState search_state;
init_inter_mode_search_state(&search_state, cpi, x, bsize, best_rd_so_far);
INTERINTRA_MODE interintra_modes[REF_FRAMES] = {
INTERINTRA_MODES, INTERINTRA_MODES, INTERINTRA_MODES, INTERINTRA_MODES,
INTERINTRA_MODES, INTERINTRA_MODES, INTERINTRA_MODES, INTERINTRA_MODES
};
HandleInterModeArgs args = { { NULL },
{ MAX_SB_SIZE, MAX_SB_SIZE, MAX_SB_SIZE },
{ NULL },
{ MAX_SB_SIZE >> 1, MAX_SB_SIZE >> 1,
MAX_SB_SIZE >> 1 },
NULL,
NULL,
NULL,
search_state.modelled_rd,
INT_MAX,
INT_MAX,
search_state.simple_rd,
0,
interintra_modes,
1,
NULL,
{ { { 0 }, { { 0 } }, { 0 }, 0, 0, 0, 0 } },
0 };
const int max_winner_motion_mode_cand = cpi->num_winner_motion_modes;
motion_mode_candidate motion_mode_cand;
motion_mode_best_st_candidate best_motion_mode_cands;
// Initializing the number of motion mode candidates to zero.
best_motion_mode_cands.num_motion_mode_cand = 0;
for (i = 0; i < MAX_WINNER_MOTION_MODES; ++i)
best_motion_mode_cands.motion_mode_cand[i].rd_cost = INT64_MAX;
for (i = 0; i < REF_FRAMES; ++i) x->pred_sse[i] = INT_MAX;
av1_invalid_rd_stats(rd_cost);
// Ref frames that are selected by square partition blocks.
int picked_ref_frames_mask = 0;
if (cpi->sf.inter_sf.prune_ref_frame_for_rect_partitions &&
mbmi->partition != PARTITION_NONE && mbmi->partition != PARTITION_SPLIT) {
// prune_ref_frame_for_rect_partitions = 1 implies prune only extended
// partition blocks. prune_ref_frame_for_rect_partitions >=2
// implies prune for vert, horiz and extended partition blocks.
if ((mbmi->partition != PARTITION_VERT &&
mbmi->partition != PARTITION_HORZ) ||
cpi->sf.inter_sf.prune_ref_frame_for_rect_partitions >= 2) {
picked_ref_frames_mask =
fetch_picked_ref_frames_mask(x, bsize, cm->seq_params.mib_size);
}
}
// Skip ref frames that never selected by square blocks.
const int skip_ref_frame_mask =
picked_ref_frames_mask ? ~picked_ref_frames_mask : 0;
mode_skip_mask_t mode_skip_mask;
unsigned int ref_costs_single[REF_FRAMES];
unsigned int ref_costs_comp[REF_FRAMES][REF_FRAMES];
struct buf_2d yv12_mb[REF_FRAMES][MAX_MB_PLANE];
// init params, set frame modes, speed features
set_params_rd_pick_inter_mode(cpi, x, &args, bsize, &mode_skip_mask,
skip_ref_frame_mask, ref_costs_single,
ref_costs_comp, yv12_mb);
int64_t best_est_rd = INT64_MAX;
const InterModeRdModel *md = &tile_data->inter_mode_rd_models[bsize];
// If do_tx_search is 0, only estimated RD should be computed.
// If do_tx_search is 1, all modes have TX search performed.
const int do_tx_search =
!((cpi->sf.inter_sf.inter_mode_rd_model_estimation == 1 && md->ready) ||
(cpi->sf.inter_sf.inter_mode_rd_model_estimation == 2 &&
num_pels_log2_lookup[bsize] > 8) ||
cpi->sf.rt_sf.force_tx_search_off);
InterModesInfo *inter_modes_info = x->inter_modes_info;
inter_modes_info->num = 0;
int intra_mode_num = 0;
int intra_mode_idx_ls[INTRA_MODES];
int reach_first_comp_mode = 0;
// Temporary buffers used by handle_inter_mode().
uint8_t *const tmp_buf = get_buf_by_bd(xd, x->tmp_obmc_bufs[0]);
// The best RD found for the reference frame, among single reference modes.
// Note that the 0-th element will contain a cut-off that is later used
// to determine if we should skip a compound mode.
int64_t ref_frame_rd[REF_FRAMES] = { INT64_MAX, INT64_MAX, INT64_MAX,
INT64_MAX, INT64_MAX, INT64_MAX,
INT64_MAX, INT64_MAX };
const int skip_ctx = av1_get_skip_context(xd);
// Prepared stats used later to check if we could skip intra mode eval.
int64_t inter_cost = -1;
int64_t intra_cost = -1;
// Need to tweak the threshold for hdres speed 0 & 1.
const int mi_row = xd->mi_row;
const int mi_col = xd->mi_col;
const int do_pruning =
(AOMMIN(cm->width, cm->height) > 480 && cpi->speed <= 1) ? 0 : 1;
if (do_pruning && sf->intra_sf.skip_intra_in_interframe) {
// Only consider full SB.
int len = tpl_blocks_in_sb(cm->seq_params.sb_size);
if (len == x->valid_cost_b) {
const BLOCK_SIZE tpl_bsize = convert_length_to_bsize(MC_FLOW_BSIZE_1D);
const int tplw = mi_size_wide[tpl_bsize];
const int tplh = mi_size_high[tpl_bsize];
const int nw = mi_size_wide[bsize] / tplw;
const int nh = mi_size_high[bsize] / tplh;
if (nw >= 1 && nh >= 1) {
const int of_h = mi_row % mi_size_high[cm->seq_params.sb_size];
const int of_w = mi_col % mi_size_wide[cm->seq_params.sb_size];
const int start = of_h / tplh * x->cost_stride + of_w / tplw;
for (int k = 0; k < nh; k++) {
for (int l = 0; l < nw; l++) {
inter_cost += x->inter_cost_b[start + k * x->cost_stride + l];
intra_cost += x->intra_cost_b[start + k * x->cost_stride + l];
}
}
inter_cost /= nw * nh;
intra_cost /= nw * nh;
}
}
}
const int last_single_ref_mode_idx =
find_last_single_ref_mode_idx(av1_default_mode_order);
int prune_cpd_using_sr_stats_ready = 0;
// Initialize best mode stats for winner mode processing
av1_zero(x->winner_mode_stats);
x->winner_mode_count = 0;
store_winner_mode_stats(
&cpi->common, x, mbmi, NULL, NULL, NULL, THR_INVALID, NULL, bsize,
best_rd_so_far, cpi->sf.winner_mode_sf.enable_multiwinner_mode_process,
0);
// Here midx is just an iterator index that should not be used by itself
// except to keep track of the number of modes searched. It should be used
// with av1_default_mode_order to get the enum that defines the mode, which
// can be used with av1_mode_defs to get the prediction mode and the ref
// frames.
for (THR_MODES midx = THR_MODE_START; midx < THR_MODE_END; ++midx) {
// Get the actual prediction mode we are trying in this iteration
const THR_MODES mode_enum = av1_default_mode_order[midx];
const MODE_DEFINITION *mode_def = &av1_mode_defs[mode_enum];
const PREDICTION_MODE this_mode = mode_def->mode;
const MV_REFERENCE_FRAME *ref_frames = mode_def->ref_frame;
const MV_REFERENCE_FRAME ref_frame = ref_frames[0];
const MV_REFERENCE_FRAME second_ref_frame = ref_frames[1];
const int is_single_pred =
ref_frame > INTRA_FRAME && second_ref_frame == NONE_FRAME;
const int comp_pred = second_ref_frame > INTRA_FRAME;
// After we done with single reference modes, find the 2nd best RD
// for a reference frame. Only search compound modes that have a reference
// frame at least as good as the 2nd best.
if (sf->inter_sf.prune_compound_using_single_ref &&
midx == last_single_ref_mode_idx + 1) {
find_top_ref(ref_frame_rd);
prune_cpd_using_sr_stats_ready = 1;
}
if (inter_mode_compatible_skip(cpi, x, bsize, this_mode, ref_frames))
continue;
const int ret = inter_mode_search_order_independent_skip(
cpi, x, &mode_skip_mask, &search_state, skip_ref_frame_mask, this_mode,
mode_def->ref_frame);
if (ret == 1) continue;
args.skip_motion_mode = (ret == 2);
if (sf->inter_sf.prune_compound_using_single_ref &&
prune_cpd_using_sr_stats_ready && comp_pred &&
!in_single_ref_cutoff(ref_frame_rd, ref_frame, second_ref_frame)) {
continue;
}
// Reach the first compound prediction mode
if (sf->inter_sf.prune_comp_search_by_single_result > 0 && comp_pred &&
reach_first_comp_mode == 0) {
analyze_single_states(cpi, &search_state);
reach_first_comp_mode = 1;
}
init_mbmi(mbmi, this_mode, ref_frames, cm);
x->force_skip = 0;
set_ref_ptrs(cm, xd, ref_frame, second_ref_frame);
if (search_state.best_rd < search_state.mode_threshold[mode_enum]) continue;
if (sf->inter_sf.prune_comp_search_by_single_result > 0 && comp_pred) {
if (compound_skip_by_single_states(cpi, &search_state, this_mode,
ref_frame, second_ref_frame, x))
continue;
}
const int compmode_cost =
is_comp_ref_allowed(mbmi->sb_type) ? comp_inter_cost[comp_pred] : 0;
const int real_compmode_cost =
cm->current_frame.reference_mode == REFERENCE_MODE_SELECT
? compmode_cost
: 0;
if (ref_frame == INTRA_FRAME) {
if ((!cpi->oxcf.enable_smooth_intra ||
sf->intra_sf.disable_smooth_intra) &&
(mbmi->mode == SMOOTH_PRED || mbmi->mode == SMOOTH_H_PRED ||
mbmi->mode == SMOOTH_V_PRED))
continue;
if (!cpi->oxcf.enable_paeth_intra && mbmi->mode == PAETH_PRED) continue;
if (sf->inter_sf.adaptive_mode_search > 1)
if ((x->source_variance << num_pels_log2_lookup[bsize]) >
search_state.best_pred_sse)
continue;
// Intra modes will be handled in another loop later.
assert(intra_mode_num < INTRA_MODES);
intra_mode_idx_ls[intra_mode_num++] = mode_enum;
continue;
}
// Select prediction reference frames.
for (i = 0; i < num_planes; i++) {
xd->plane[i].pre[0] = yv12_mb[ref_frame][i];
if (comp_pred) xd->plane[i].pre[1] = yv12_mb[second_ref_frame][i];
}
mbmi->angle_delta[PLANE_TYPE_Y] = 0;
mbmi->angle_delta[PLANE_TYPE_UV] = 0;
mbmi->filter_intra_mode_info.use_filter_intra = 0;
mbmi->ref_mv_idx = 0;
const int64_t ref_best_rd = search_state.best_rd;
int disable_skip = 0;
RD_STATS rd_stats, rd_stats_y, rd_stats_uv;
av1_init_rd_stats(&rd_stats);
const int ref_frame_cost = comp_pred
? ref_costs_comp[ref_frame][second_ref_frame]
: ref_costs_single[ref_frame];
// Point to variables that are maintained between loop iterations
args.single_newmv = search_state.single_newmv;
args.single_newmv_rate = search_state.single_newmv_rate;
args.single_newmv_valid = search_state.single_newmv_valid;
args.single_comp_cost = real_compmode_cost;
args.ref_frame_cost = ref_frame_cost;
if (is_single_pred) {
args.simple_rd_state = x->simple_rd_state[mode_enum];
}
int64_t this_rd = handle_inter_mode(
cpi, tile_data, x, bsize, &rd_stats, &rd_stats_y, &rd_stats_uv,
&disable_skip, &args, ref_best_rd, tmp_buf, &x->comp_rd_buffer,
&best_est_rd, do_tx_search, inter_modes_info, &motion_mode_cand);
if (sf->inter_sf.prune_comp_search_by_single_result > 0 &&
is_inter_singleref_mode(this_mode) && args.single_ref_first_pass) {
collect_single_states(x, &search_state, mbmi);
}
if (this_rd == INT64_MAX) continue;
if (mbmi->skip) {
rd_stats_y.rate = 0;
rd_stats_uv.rate = 0;
}
if (sf->inter_sf.prune_compound_using_single_ref && is_single_pred &&
this_rd < ref_frame_rd[ref_frame]) {
ref_frame_rd[ref_frame] = this_rd;
}
// Did this mode help, i.e., is it the new best mode
if (this_rd < search_state.best_rd) {
assert(IMPLIES(comp_pred,
cm->current_frame.reference_mode != SINGLE_REFERENCE));
search_state.best_pred_sse = x->pred_sse[ref_frame];
update_search_state(&search_state, rd_cost, ctx, &rd_stats, &rd_stats_y,
&rd_stats_uv, mode_enum, x, do_tx_search);
}
if (cpi->sf.winner_mode_sf.motion_mode_for_winner_cand) {
const int num_motion_mode_cand =
best_motion_mode_cands.num_motion_mode_cand;
int valid_motion_mode_cand_loc = num_motion_mode_cand;
// find the best location to insert new motion mode candidate
for (int j = 0; j < num_motion_mode_cand; j++) {
if (this_rd < best_motion_mode_cands.motion_mode_cand[j].rd_cost) {
valid_motion_mode_cand_loc = j;
break;
}
}
if (valid_motion_mode_cand_loc < max_winner_motion_mode_cand) {
if (num_motion_mode_cand > 0 &&
valid_motion_mode_cand_loc < max_winner_motion_mode_cand - 1)
memmove(
&best_motion_mode_cands
.motion_mode_cand[valid_motion_mode_cand_loc + 1],
&best_motion_mode_cands
.motion_mode_cand[valid_motion_mode_cand_loc],
(AOMMIN(num_motion_mode_cand, max_winner_motion_mode_cand - 1) -
valid_motion_mode_cand_loc) *
sizeof(best_motion_mode_cands.motion_mode_cand[0]));
motion_mode_cand.mbmi = *mbmi;
motion_mode_cand.rd_cost = this_rd;
motion_mode_cand.skip_motion_mode = args.skip_motion_mode;
best_motion_mode_cands.motion_mode_cand[valid_motion_mode_cand_loc] =
motion_mode_cand;
best_motion_mode_cands.num_motion_mode_cand =
AOMMIN(max_winner_motion_mode_cand,
best_motion_mode_cands.num_motion_mode_cand + 1);
}
}
/* keep record of best compound/single-only prediction */
if (!disable_skip) {
int64_t single_rd, hybrid_rd, single_rate, hybrid_rate;
if (cm->current_frame.reference_mode == REFERENCE_MODE_SELECT) {
single_rate = rd_stats.rate - compmode_cost;
hybrid_rate = rd_stats.rate;
} else {
single_rate = rd_stats.rate;
hybrid_rate = rd_stats.rate + compmode_cost;
}
single_rd = RDCOST(x->rdmult, single_rate, rd_stats.dist);
hybrid_rd = RDCOST(x->rdmult, hybrid_rate, rd_stats.dist);
if (!comp_pred) {
if (single_rd <
search_state.intra_search_state.best_pred_rd[SINGLE_REFERENCE])
search_state.intra_search_state.best_pred_rd[SINGLE_REFERENCE] =
single_rd;
} else {
if (single_rd <
search_state.intra_search_state.best_pred_rd[COMPOUND_REFERENCE])
search_state.intra_search_state.best_pred_rd[COMPOUND_REFERENCE] =
single_rd;
}
if (hybrid_rd <
search_state.intra_search_state.best_pred_rd[REFERENCE_MODE_SELECT])
search_state.intra_search_state.best_pred_rd[REFERENCE_MODE_SELECT] =
hybrid_rd;
}
}
if (cpi->sf.winner_mode_sf.motion_mode_for_winner_cand) {
// For the single ref winner candidates, evaluate other motion modes (non
// simple translation).
evaluate_motion_mode_for_winner_candidates(
cpi, x, rd_cost, &args, tile_data, ctx, yv12_mb,
&best_motion_mode_cands, do_tx_search, bsize, &best_est_rd,
&search_state);
}
#if CONFIG_COLLECT_COMPONENT_TIMING
start_timing(cpi, do_tx_search_time);
#endif
if (do_tx_search != 1) {
inter_modes_info_sort(inter_modes_info, inter_modes_info->rd_idx_pair_arr);
search_state.best_rd = best_rd_so_far;
search_state.best_mode_index = THR_INVALID;
// Initialize best mode stats for winner mode processing
x->winner_mode_count = 0;
store_winner_mode_stats(
&cpi->common, x, mbmi, NULL, NULL, NULL, THR_INVALID, NULL, bsize,
best_rd_so_far, cpi->sf.winner_mode_sf.enable_multiwinner_mode_process,
do_tx_search);
inter_modes_info->num =
inter_modes_info->num < cpi->sf.rt_sf.num_inter_modes_for_tx_search
? inter_modes_info->num
: cpi->sf.rt_sf.num_inter_modes_for_tx_search;
const int64_t top_est_rd =
inter_modes_info->num > 0
? inter_modes_info
->est_rd_arr[inter_modes_info->rd_idx_pair_arr[0].idx]
: INT64_MAX;
for (int j = 0; j < inter_modes_info->num; ++j) {
const int data_idx = inter_modes_info->rd_idx_pair_arr[j].idx;
*mbmi = inter_modes_info->mbmi_arr[data_idx];
int64_t curr_est_rd = inter_modes_info->est_rd_arr[data_idx];
if (curr_est_rd * 0.80 > top_est_rd) break;
x->force_skip = 0;
set_ref_ptrs(cm, xd, mbmi->ref_frame[0], mbmi->ref_frame[1]);
// Select prediction reference frames.
const int is_comp_pred = mbmi->ref_frame[1] > INTRA_FRAME;
for (i = 0; i < num_planes; i++) {
xd->plane[i].pre[0] = yv12_mb[mbmi->ref_frame[0]][i];
if (is_comp_pred) xd->plane[i].pre[1] = yv12_mb[mbmi->ref_frame[1]][i];
}
av1_enc_build_inter_predictor(cm, xd, mi_row, mi_col, NULL, bsize, 0,
av1_num_planes(cm) - 1);
if (mbmi->motion_mode == OBMC_CAUSAL) {
av1_build_obmc_inter_predictors_sb(cm, xd);
}
RD_STATS rd_stats;
RD_STATS rd_stats_y;
RD_STATS rd_stats_uv;
const int mode_rate = inter_modes_info->mode_rate_arr[data_idx];
if (!av1_txfm_search(cpi, tile_data, x, bsize, &rd_stats, &rd_stats_y,
&rd_stats_uv, mode_rate, search_state.best_rd)) {
continue;
} else if (cpi->sf.inter_sf.inter_mode_rd_model_estimation == 1) {
inter_mode_data_push(tile_data, mbmi->sb_type, rd_stats.sse,
rd_stats.dist,
rd_stats_y.rate + rd_stats_uv.rate +
x->skip_cost[skip_ctx][mbmi->skip]);
}
rd_stats.rdcost = RDCOST(x->rdmult, rd_stats.rate, rd_stats.dist);
const THR_MODES mode_enum = get_prediction_mode_idx(
mbmi->mode, mbmi->ref_frame[0], mbmi->ref_frame[1]);
// Collect mode stats for multiwinner mode processing
const int txfm_search_done = 1;
store_winner_mode_stats(
&cpi->common, x, mbmi, &rd_stats, &rd_stats_y, &rd_stats_uv,
mode_enum, NULL, bsize, rd_stats.rdcost,
cpi->sf.winner_mode_sf.enable_multiwinner_mode_process,
txfm_search_done);
if (rd_stats.rdcost < search_state.best_rd) {
update_search_state(&search_state, rd_cost, ctx, &rd_stats, &rd_stats_y,
&rd_stats_uv, mode_enum, x, txfm_search_done);
}
}
}
#if CONFIG_COLLECT_COMPONENT_TIMING
end_timing(cpi, do_tx_search_time);
#endif
#if CONFIG_COLLECT_COMPONENT_TIMING
start_timing(cpi, handle_intra_mode_time);
#endif
// Gate intra mode evaluation if best of inter is skip except when source
// variance is extremely low
if (sf->intra_sf.skip_intra_in_interframe &&
(x->source_variance > sf->intra_sf.src_var_thresh_intra_skip)) {
if (inter_cost >= 0 && intra_cost >= 0) {
aom_clear_system_state();
const NN_CONFIG *nn_config = (AOMMIN(cm->width, cm->height) <= 480)
? &av1_intrap_nn_config
: &av1_intrap_hd_nn_config;
float features[6];
float scores[2] = { 0.0f };
float probs[2] = { 0.0f };
features[0] = (float)search_state.best_mbmode.skip;
features[1] = (float)mi_size_wide_log2[bsize];
features[2] = (float)mi_size_high_log2[bsize];
features[3] = (float)intra_cost;
features[4] = (float)inter_cost;
const int ac_q = av1_ac_quant_QTX(x->qindex, 0, xd->bd);
const int ac_q_max = av1_ac_quant_QTX(255, 0, xd->bd);
features[5] = (float)(ac_q_max / ac_q);
av1_nn_predict(features, nn_config, 1, scores);
aom_clear_system_state();
av1_nn_softmax(scores, probs, 2);
if (probs[1] > 0.8) search_state.intra_search_state.skip_intra_modes = 1;
} else if ((search_state.best_mbmode.skip) &&
(sf->intra_sf.skip_intra_in_interframe >= 2)) {
search_state.intra_search_state.skip_intra_modes = 1;
}
}
const int intra_ref_frame_cost = ref_costs_single[INTRA_FRAME];
for (int j = 0; j < intra_mode_num; ++j) {
if (sf->intra_sf.skip_intra_in_interframe &&
search_state.intra_search_state.skip_intra_modes)
break;
const THR_MODES mode_enum = intra_mode_idx_ls[j];
const MODE_DEFINITION *mode_def = &av1_mode_defs[mode_enum];
const PREDICTION_MODE this_mode = mode_def->mode;
assert(av1_mode_defs[mode_enum].ref_frame[0] == INTRA_FRAME);
assert(av1_mode_defs[mode_enum].ref_frame[1] == NONE_FRAME);
init_mbmi(mbmi, this_mode, av1_mode_defs[mode_enum].ref_frame, cm);
x->force_skip = 0;
if (this_mode != DC_PRED) {
// Only search the oblique modes if the best so far is
// one of the neighboring directional modes
if ((sf->rt_sf.mode_search_skip_flags & FLAG_SKIP_INTRA_BESTINTER) &&
(this_mode >= D45_PRED && this_mode <= PAETH_PRED)) {
if (search_state.best_mode_index != THR_INVALID &&
search_state.best_mbmode.ref_frame[0] > INTRA_FRAME)
continue;
}
if (sf->rt_sf.mode_search_skip_flags & FLAG_SKIP_INTRA_DIRMISMATCH) {
if (conditional_skipintra(
this_mode, search_state.intra_search_state.best_intra_mode))
continue;
}
}
RD_STATS intra_rd_stats, intra_rd_stats_y, intra_rd_stats_uv;
intra_rd_stats.rdcost = av1_handle_intra_mode(
&search_state.intra_search_state, cpi, x, bsize, intra_ref_frame_cost,
ctx, 0, &intra_rd_stats, &intra_rd_stats_y, &intra_rd_stats_uv,
search_state.best_rd, &search_state.best_intra_rd,
search_state.best_mbmode.skip);
// Collect mode stats for multiwinner mode processing
const int txfm_search_done = 1;
store_winner_mode_stats(
&cpi->common, x, mbmi, &intra_rd_stats, &intra_rd_stats_y,
&intra_rd_stats_uv, mode_enum, NULL, bsize, intra_rd_stats.rdcost,
cpi->sf.winner_mode_sf.enable_multiwinner_mode_process,
txfm_search_done);
if (intra_rd_stats.rdcost < search_state.best_rd) {
update_search_state(&search_state, rd_cost, ctx, &intra_rd_stats,
&intra_rd_stats_y, &intra_rd_stats_uv, mode_enum, x,
txfm_search_done);
}
}
#if CONFIG_COLLECT_COMPONENT_TIMING
end_timing(cpi, handle_intra_mode_time);
#endif
int winner_mode_count = cpi->sf.winner_mode_sf.enable_multiwinner_mode_process
? x->winner_mode_count
: 1;
// In effect only when fast tx search speed features are enabled.
refine_winner_mode_tx(
cpi, x, rd_cost, bsize, ctx, &search_state.best_mode_index,
&search_state.best_mbmode, yv12_mb, search_state.best_rate_y,
search_state.best_rate_uv, &search_state.best_skip2, winner_mode_count);
// Initialize default mode evaluation params
set_mode_eval_params(cpi, x, DEFAULT_EVAL);
// Only try palette mode when the best mode so far is an intra mode.
const int try_palette =
cpi->oxcf.enable_palette &&
av1_allow_palette(cm->allow_screen_content_tools, mbmi->sb_type) &&
!is_inter_mode(search_state.best_mbmode.mode);
PALETTE_MODE_INFO *const pmi = &mbmi->palette_mode_info;
RD_STATS this_rd_cost;
int this_skippable = 0;
if (try_palette) {
this_skippable = av1_search_palette_mode(
cpi, x, &this_rd_cost, ctx, bsize, mbmi, pmi, ref_costs_single,
&search_state.intra_search_state, search_state.best_rd);
if (this_rd_cost.rdcost < search_state.best_rd) {
search_state.best_mode_index = THR_DC;
mbmi->mv[0].as_int = 0;
rd_cost->rate = this_rd_cost.rate;
rd_cost->dist = this_rd_cost.dist;
rd_cost->rdcost = this_rd_cost.rdcost;
search_state.best_rd = rd_cost->rdcost;
search_state.best_mbmode = *mbmi;
search_state.best_skip2 = 0;
search_state.best_mode_skippable = this_skippable;
memcpy(ctx->blk_skip, x->blk_skip,
sizeof(x->blk_skip[0]) * ctx->num_4x4_blk);
av1_copy_array(ctx->tx_type_map, xd->tx_type_map, ctx->num_4x4_blk);
}
}
search_state.best_mbmode.skip_mode = 0;
if (cm->current_frame.skip_mode_info.skip_mode_flag &&
is_comp_ref_allowed(bsize)) {
const struct segmentation *const seg = &cm->seg;
unsigned char segment_id = mbmi->segment_id;
if (!segfeature_active(seg, segment_id, SEG_LVL_REF_FRAME)) {
rd_pick_skip_mode(rd_cost, &search_state, cpi, x, bsize, yv12_mb);
}
}
// Make sure that the ref_mv_idx is only nonzero when we're
// using a mode which can support ref_mv_idx
if (search_state.best_mbmode.ref_mv_idx != 0 &&
!(search_state.best_mbmode.mode == NEWMV ||
search_state.best_mbmode.mode == NEW_NEWMV ||
have_nearmv_in_inter_mode(search_state.best_mbmode.mode))) {
search_state.best_mbmode.ref_mv_idx = 0;
}
if (search_state.best_mode_index == THR_INVALID ||
search_state.best_rd >= best_rd_so_far) {
rd_cost->rate = INT_MAX;
rd_cost->rdcost = INT64_MAX;
return;
}
assert((cm->interp_filter == SWITCHABLE) ||
(cm->interp_filter ==
search_state.best_mbmode.interp_filters.as_filters.y_filter) ||
!is_inter_block(&search_state.best_mbmode));
assert((cm->interp_filter == SWITCHABLE) ||
(cm->interp_filter ==
search_state.best_mbmode.interp_filters.as_filters.x_filter) ||
!is_inter_block(&search_state.best_mbmode));
if (!cpi->rc.is_src_frame_alt_ref && cpi->sf.inter_sf.adaptive_rd_thresh) {
av1_update_rd_thresh_fact(cm, x->thresh_freq_fact,
sf->inter_sf.adaptive_rd_thresh, bsize,
search_state.best_mode_index);
}
// macroblock modes
*mbmi = search_state.best_mbmode;
x->force_skip |= search_state.best_skip2;
// Note: this section is needed since the mode may have been forced to
// GLOBALMV by the all-zero mode handling of ref-mv.
if (mbmi->mode == GLOBALMV || mbmi->mode == GLOBAL_GLOBALMV) {
// Correct the interp filters for GLOBALMV
if (is_nontrans_global_motion(xd, xd->mi[0])) {
int_interpfilters filters = av1_broadcast_interp_filter(
av1_unswitchable_filter(cm->interp_filter));
assert(mbmi->interp_filters.as_int == filters.as_int);
(void)filters;
}
}
for (i = 0; i < REFERENCE_MODES; ++i) {
if (search_state.intra_search_state.best_pred_rd[i] == INT64_MAX) {
search_state.best_pred_diff[i] = INT_MIN;
} else {
search_state.best_pred_diff[i] =
search_state.best_rd -
search_state.intra_search_state.best_pred_rd[i];
}
}
x->force_skip |= search_state.best_mode_skippable;
assert(search_state.best_mode_index != THR_INVALID);
#if CONFIG_INTERNAL_STATS
store_coding_context(x, ctx, search_state.best_mode_index,
search_state.best_pred_diff,
search_state.best_mode_skippable);
#else
store_coding_context(x, ctx, search_state.best_pred_diff,
search_state.best_mode_skippable);
#endif // CONFIG_INTERNAL_STATS
if (pmi->palette_size[1] > 0) {
assert(try_palette);
av1_restore_uv_color_map(cpi, x);
}
}
void av1_rd_pick_inter_mode_sb_seg_skip(const AV1_COMP *cpi,
TileDataEnc *tile_data, MACROBLOCK *x,
int mi_row, int mi_col,
RD_STATS *rd_cost, BLOCK_SIZE bsize,
PICK_MODE_CONTEXT *ctx,
int64_t best_rd_so_far) {
const AV1_COMMON *const cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
unsigned char segment_id = mbmi->segment_id;
const int comp_pred = 0;
int i;
int64_t best_pred_diff[REFERENCE_MODES];
unsigned int ref_costs_single[REF_FRAMES];
unsigned int ref_costs_comp[REF_FRAMES][REF_FRAMES];
int *comp_inter_cost = x->comp_inter_cost[av1_get_reference_mode_context(xd)];
InterpFilter best_filter = SWITCHABLE;
int64_t this_rd = INT64_MAX;
int rate2 = 0;
const int64_t distortion2 = 0;
(void)mi_row;
(void)mi_col;
(void)tile_data;
av1_collect_neighbors_ref_counts(xd);
estimate_ref_frame_costs(cm, xd, x, segment_id, ref_costs_single,
ref_costs_comp);
for (i = 0; i < REF_FRAMES; ++i) x->pred_sse[i] = INT_MAX;
for (i = LAST_FRAME; i < REF_FRAMES; ++i) x->pred_mv_sad[i] = INT_MAX;
rd_cost->rate = INT_MAX;
assert(segfeature_active(&cm->seg, segment_id, SEG_LVL_SKIP));
mbmi->palette_mode_info.palette_size[0] = 0;
mbmi->palette_mode_info.palette_size[1] = 0;
mbmi->filter_intra_mode_info.use_filter_intra = 0;
mbmi->mode = GLOBALMV;
mbmi->motion_mode = SIMPLE_TRANSLATION;
mbmi->uv_mode = UV_DC_PRED;
if (segfeature_active(&cm->seg, segment_id, SEG_LVL_REF_FRAME))
mbmi->ref_frame[0] = get_segdata(&cm->seg, segment_id, SEG_LVL_REF_FRAME);
else
mbmi->ref_frame[0] = LAST_FRAME;
mbmi->ref_frame[1] = NONE_FRAME;
mbmi->mv[0].as_int =
gm_get_motion_vector(&cm->global_motion[mbmi->ref_frame[0]],
cm->allow_high_precision_mv, bsize, mi_col, mi_row,
cm->cur_frame_force_integer_mv)
.as_int;
mbmi->tx_size = max_txsize_lookup[bsize];
x->force_skip = 1;
mbmi->ref_mv_idx = 0;
mbmi->motion_mode = SIMPLE_TRANSLATION;
av1_count_overlappable_neighbors(cm, xd);
if (is_motion_variation_allowed_bsize(bsize) && !has_second_ref(mbmi)) {
int pts[SAMPLES_ARRAY_SIZE], pts_inref[SAMPLES_ARRAY_SIZE];
mbmi->num_proj_ref = av1_findSamples(cm, xd, pts, pts_inref);
// Select the samples according to motion vector difference
if (mbmi->num_proj_ref > 1)
mbmi->num_proj_ref = av1_selectSamples(&mbmi->mv[0].as_mv, pts, pts_inref,
mbmi->num_proj_ref, bsize);
}
set_default_interp_filters(mbmi, cm->interp_filter);
if (cm->interp_filter != SWITCHABLE) {
best_filter = cm->interp_filter;
} else {
best_filter = EIGHTTAP_REGULAR;
if (av1_is_interp_needed(xd) &&
x->source_variance >=
cpi->sf.interp_sf.disable_filter_search_var_thresh) {
int rs;
int best_rs = INT_MAX;
for (i = 0; i < SWITCHABLE_FILTERS; ++i) {
mbmi->interp_filters = av1_broadcast_interp_filter(i);
rs = av1_get_switchable_rate(cm, x, xd);
if (rs < best_rs) {
best_rs = rs;
best_filter = mbmi->interp_filters.as_filters.y_filter;
}
}
}
}
// Set the appropriate filter
mbmi->interp_filters = av1_broadcast_interp_filter(best_filter);
rate2 += av1_get_switchable_rate(cm, x, xd);
if (cm->current_frame.reference_mode == REFERENCE_MODE_SELECT)
rate2 += comp_inter_cost[comp_pred];
// Estimate the reference frame signaling cost and add it
// to the rolling cost variable.
rate2 += ref_costs_single[LAST_FRAME];
this_rd = RDCOST(x->rdmult, rate2, distortion2);
rd_cost->rate = rate2;
rd_cost->dist = distortion2;
rd_cost->rdcost = this_rd;
if (this_rd >= best_rd_so_far) {
rd_cost->rate = INT_MAX;
rd_cost->rdcost = INT64_MAX;
return;
}
assert((cm->interp_filter == SWITCHABLE) ||
(cm->interp_filter == mbmi->interp_filters.as_filters.y_filter));
if (cpi->sf.inter_sf.adaptive_rd_thresh) {
av1_update_rd_thresh_fact(cm, x->thresh_freq_fact,
cpi->sf.inter_sf.adaptive_rd_thresh, bsize,
THR_GLOBALMV);
}
av1_zero(best_pred_diff);
#if CONFIG_INTERNAL_STATS
store_coding_context(x, ctx, THR_GLOBALMV, best_pred_diff, 0);
#else
store_coding_context(x, ctx, best_pred_diff, 0);
#endif // CONFIG_INTERNAL_STATS
}
struct calc_target_weighted_pred_ctxt {
const MACROBLOCK *x;
const uint8_t *tmp;
int tmp_stride;
int overlap;
};
static INLINE void calc_target_weighted_pred_above(
MACROBLOCKD *xd, int rel_mi_row, int rel_mi_col, uint8_t op_mi_size,
int dir, MB_MODE_INFO *nb_mi, void *fun_ctxt, const int num_planes) {
(void)nb_mi;
(void)num_planes;
(void)rel_mi_row;
(void)dir;
struct calc_target_weighted_pred_ctxt *ctxt =
(struct calc_target_weighted_pred_ctxt *)fun_ctxt;
const int bw = xd->n4_w << MI_SIZE_LOG2;
const uint8_t *const mask1d = av1_get_obmc_mask(ctxt->overlap);
int32_t *wsrc = ctxt->x->wsrc_buf + (rel_mi_col * MI_SIZE);
int32_t *mask = ctxt->x->mask_buf + (rel_mi_col * MI_SIZE);
const uint8_t *tmp = ctxt->tmp + rel_mi_col * MI_SIZE;
const int is_hbd = is_cur_buf_hbd(xd);
if (!is_hbd) {
for (int row = 0; row < ctxt->overlap; ++row) {
const uint8_t m0 = mask1d[row];
const uint8_t m1 = AOM_BLEND_A64_MAX_ALPHA - m0;
for (int col = 0; col < op_mi_size * MI_SIZE; ++col) {
wsrc[col] = m1 * tmp[col];
mask[col] = m0;
}
wsrc += bw;
mask += bw;
tmp += ctxt->tmp_stride;
}
} else {
const uint16_t *tmp16 = CONVERT_TO_SHORTPTR(tmp);
for (int row = 0; row < ctxt->overlap; ++row) {
const uint8_t m0 = mask1d[row];
const uint8_t m1 = AOM_BLEND_A64_MAX_ALPHA - m0;
for (int col = 0; col < op_mi_size * MI_SIZE; ++col) {
wsrc[col] = m1 * tmp16[col];
mask[col] = m0;
}
wsrc += bw;
mask += bw;
tmp16 += ctxt->tmp_stride;
}
}
}
static INLINE void calc_target_weighted_pred_left(
MACROBLOCKD *xd, int rel_mi_row, int rel_mi_col, uint8_t op_mi_size,
int dir, MB_MODE_INFO *nb_mi, void *fun_ctxt, const int num_planes) {
(void)nb_mi;
(void)num_planes;
(void)rel_mi_col;
(void)dir;
struct calc_target_weighted_pred_ctxt *ctxt =
(struct calc_target_weighted_pred_ctxt *)fun_ctxt;
const int bw = xd->n4_w << MI_SIZE_LOG2;
const uint8_t *const mask1d = av1_get_obmc_mask(ctxt->overlap);
int32_t *wsrc = ctxt->x->wsrc_buf + (rel_mi_row * MI_SIZE * bw);
int32_t *mask = ctxt->x->mask_buf + (rel_mi_row * MI_SIZE * bw);
const uint8_t *tmp = ctxt->tmp + (rel_mi_row * MI_SIZE * ctxt->tmp_stride);
const int is_hbd = is_cur_buf_hbd(xd);
if (!is_hbd) {
for (int row = 0; row < op_mi_size * MI_SIZE; ++row) {
for (int col = 0; col < ctxt->overlap; ++col) {
const uint8_t m0 = mask1d[col];
const uint8_t m1 = AOM_BLEND_A64_MAX_ALPHA - m0;
wsrc[col] = (wsrc[col] >> AOM_BLEND_A64_ROUND_BITS) * m0 +
(tmp[col] << AOM_BLEND_A64_ROUND_BITS) * m1;
mask[col] = (mask[col] >> AOM_BLEND_A64_ROUND_BITS) * m0;
}
wsrc += bw;
mask += bw;
tmp += ctxt->tmp_stride;
}
} else {
const uint16_t *tmp16 = CONVERT_TO_SHORTPTR(tmp);
for (int row = 0; row < op_mi_size * MI_SIZE; ++row) {
for (int col = 0; col < ctxt->overlap; ++col) {
const uint8_t m0 = mask1d[col];
const uint8_t m1 = AOM_BLEND_A64_MAX_ALPHA - m0;
wsrc[col] = (wsrc[col] >> AOM_BLEND_A64_ROUND_BITS) * m0 +
(tmp16[col] << AOM_BLEND_A64_ROUND_BITS) * m1;
mask[col] = (mask[col] >> AOM_BLEND_A64_ROUND_BITS) * m0;
}
wsrc += bw;
mask += bw;
tmp16 += ctxt->tmp_stride;
}
}
}
// This function has a structure similar to av1_build_obmc_inter_prediction
//
// The OBMC predictor is computed as:
//
// PObmc(x,y) =
// AOM_BLEND_A64(Mh(x),
// AOM_BLEND_A64(Mv(y), P(x,y), PAbove(x,y)),
// PLeft(x, y))
//
// Scaling up by AOM_BLEND_A64_MAX_ALPHA ** 2 and omitting the intermediate
// rounding, this can be written as:
//
// AOM_BLEND_A64_MAX_ALPHA * AOM_BLEND_A64_MAX_ALPHA * Pobmc(x,y) =
// Mh(x) * Mv(y) * P(x,y) +
// Mh(x) * Cv(y) * Pabove(x,y) +
// AOM_BLEND_A64_MAX_ALPHA * Ch(x) * PLeft(x, y)
//
// Where :
//
// Cv(y) = AOM_BLEND_A64_MAX_ALPHA - Mv(y)
// Ch(y) = AOM_BLEND_A64_MAX_ALPHA - Mh(y)
//
// This function computes 'wsrc' and 'mask' as:
//
// wsrc(x, y) =
// AOM_BLEND_A64_MAX_ALPHA * AOM_BLEND_A64_MAX_ALPHA * src(x, y) -
// Mh(x) * Cv(y) * Pabove(x,y) +
// AOM_BLEND_A64_MAX_ALPHA * Ch(x) * PLeft(x, y)
//
// mask(x, y) = Mh(x) * Mv(y)
//
// These can then be used to efficiently approximate the error for any
// predictor P in the context of the provided neighbouring predictors by
// computing:
//
// error(x, y) =
// wsrc(x, y) - mask(x, y) * P(x, y) / (AOM_BLEND_A64_MAX_ALPHA ** 2)
//
static AOM_INLINE void calc_target_weighted_pred(
const AV1_COMMON *cm, const MACROBLOCK *x, const MACROBLOCKD *xd,
const uint8_t *above, int above_stride, const uint8_t *left,
int left_stride) {
const BLOCK_SIZE bsize = xd->mi[0]->sb_type;
const int bw = xd->n4_w << MI_SIZE_LOG2;
const int bh = xd->n4_h << MI_SIZE_LOG2;
int32_t *mask_buf = x->mask_buf;
int32_t *wsrc_buf = x->wsrc_buf;
const int is_hbd = is_cur_buf_hbd(xd);
const int src_scale = AOM_BLEND_A64_MAX_ALPHA * AOM_BLEND_A64_MAX_ALPHA;
// plane 0 should not be sub-sampled
assert(xd->plane[0].subsampling_x == 0);
assert(xd->plane[0].subsampling_y == 0);
av1_zero_array(wsrc_buf, bw * bh);
for (int i = 0; i < bw * bh; ++i) mask_buf[i] = AOM_BLEND_A64_MAX_ALPHA;
// handle above row
if (xd->up_available) {
const int overlap =
AOMMIN(block_size_high[bsize], block_size_high[BLOCK_64X64]) >> 1;
struct calc_target_weighted_pred_ctxt ctxt = { x, above, above_stride,
overlap };
foreach_overlappable_nb_above(cm, (MACROBLOCKD *)xd,
max_neighbor_obmc[mi_size_wide_log2[bsize]],
calc_target_weighted_pred_above, &ctxt);
}
for (int i = 0; i < bw * bh; ++i) {
wsrc_buf[i] *= AOM_BLEND_A64_MAX_ALPHA;
mask_buf[i] *= AOM_BLEND_A64_MAX_ALPHA;
}
// handle left column
if (xd->left_available) {
const int overlap =
AOMMIN(block_size_wide[bsize], block_size_wide[BLOCK_64X64]) >> 1;
struct calc_target_weighted_pred_ctxt ctxt = { x, left, left_stride,
overlap };
foreach_overlappable_nb_left(cm, (MACROBLOCKD *)xd,
max_neighbor_obmc[mi_size_high_log2[bsize]],
calc_target_weighted_pred_left, &ctxt);
}
if (!is_hbd) {
const uint8_t *src = x->plane[0].src.buf;
for (int row = 0; row < bh; ++row) {
for (int col = 0; col < bw; ++col) {
wsrc_buf[col] = src[col] * src_scale - wsrc_buf[col];
}
wsrc_buf += bw;
src += x->plane[0].src.stride;
}
} else {
const uint16_t *src = CONVERT_TO_SHORTPTR(x->plane[0].src.buf);
for (int row = 0; row < bh; ++row) {
for (int col = 0; col < bw; ++col) {
wsrc_buf[col] = src[col] * src_scale - wsrc_buf[col];
}
wsrc_buf += bw;
src += x->plane[0].src.stride;
}
}
}
/* Use standard 3x3 Sobel matrix. Macro so it can be used for either high or
low bit-depth arrays. */
#define SOBEL_X(src, stride, i, j) \
((src)[((i)-1) + (stride) * ((j)-1)] - \
(src)[((i) + 1) + (stride) * ((j)-1)] + /* NOLINT */ \
2 * (src)[((i)-1) + (stride) * (j)] - /* NOLINT */ \
2 * (src)[((i) + 1) + (stride) * (j)] + /* NOLINT */ \
(src)[((i)-1) + (stride) * ((j) + 1)] - /* NOLINT */ \
(src)[((i) + 1) + (stride) * ((j) + 1)]) /* NOLINT */
#define SOBEL_Y(src, stride, i, j) \
((src)[((i)-1) + (stride) * ((j)-1)] + \
2 * (src)[(i) + (stride) * ((j)-1)] + /* NOLINT */ \
(src)[((i) + 1) + (stride) * ((j)-1)] - /* NOLINT */ \
(src)[((i)-1) + (stride) * ((j) + 1)] - /* NOLINT */ \
2 * (src)[(i) + (stride) * ((j) + 1)] - /* NOLINT */ \
(src)[((i) + 1) + (stride) * ((j) + 1)]) /* NOLINT */
sobel_xy av1_sobel(const uint8_t *input, int stride, int i, int j,
bool high_bd) {
int16_t s_x;
int16_t s_y;
if (high_bd) {
const uint16_t *src = CONVERT_TO_SHORTPTR(input);
s_x = SOBEL_X(src, stride, i, j);
s_y = SOBEL_Y(src, stride, i, j);
} else {
s_x = SOBEL_X(input, stride, i, j);
s_y = SOBEL_Y(input, stride, i, j);
}
sobel_xy r = { .x = s_x, .y = s_y };
return r;
}
// 8-tap Gaussian convolution filter with sigma = 1.3, sums to 128,
// all co-efficients must be even.
DECLARE_ALIGNED(16, static const int16_t, gauss_filter[8]) = { 2, 12, 30, 40,
30, 12, 2, 0 };
void av1_gaussian_blur(const uint8_t *src, int src_stride, int w, int h,
uint8_t *dst, bool high_bd, int bd) {
ConvolveParams conv_params = get_conv_params(0, 0, bd);
InterpFilterParams filter = { .filter_ptr = gauss_filter,
.taps = 8,
.subpel_shifts = 0,
.interp_filter = EIGHTTAP_REGULAR };
// Requirements from the vector-optimized implementations.
assert(h % 4 == 0);
assert(w % 8 == 0);
// Because we use an eight tap filter, the stride should be at least 7 + w.
assert(src_stride >= w + 7);
#if CONFIG_AV1_HIGHBITDEPTH
if (high_bd) {
av1_highbd_convolve_2d_sr(CONVERT_TO_SHORTPTR(src), src_stride,
CONVERT_TO_SHORTPTR(dst), w, w, h, &filter,
&filter, 0, 0, &conv_params, bd);
} else {
av1_convolve_2d_sr(src, src_stride, dst, w, w, h, &filter, &filter, 0, 0,
&conv_params);
}
#else
(void)high_bd;
av1_convolve_2d_sr(src, src_stride, dst, w, w, h, &filter, &filter, 0, 0,
&conv_params);
#endif
}
static EdgeInfo edge_probability(const uint8_t *input, int w, int h,
bool high_bd, int bd) {
// The probability of an edge in the whole image is the same as the highest
// probability of an edge for any individual pixel. Use Sobel as the metric
// for finding an edge.
uint16_t highest = 0;
uint16_t highest_x = 0;
uint16_t highest_y = 0;
// Ignore the 1 pixel border around the image for the computation.
for (int j = 1; j < h - 1; ++j) {
for (int i = 1; i < w - 1; ++i) {
sobel_xy g = av1_sobel(input, w, i, j, high_bd);
// Scale down to 8-bit to get same output regardless of bit depth.
int16_t g_x = g.x >> (bd - 8);
int16_t g_y = g.y >> (bd - 8);
uint16_t magnitude = (uint16_t)sqrt(g_x * g_x + g_y * g_y);
highest = AOMMAX(highest, magnitude);
highest_x = AOMMAX(highest_x, g_x);
highest_y = AOMMAX(highest_y, g_y);
}
}
EdgeInfo ei = { .magnitude = highest, .x = highest_x, .y = highest_y };
return ei;
}
/* Uses most of the Canny edge detection algorithm to find if there are any
* edges in the image.
*/
EdgeInfo av1_edge_exists(const uint8_t *src, int src_stride, int w, int h,
bool high_bd, int bd) {
if (w < 3 || h < 3) {
EdgeInfo n = { .magnitude = 0, .x = 0, .y = 0 };
return n;
}
uint8_t *blurred;
if (high_bd) {
blurred = CONVERT_TO_BYTEPTR(aom_memalign(32, sizeof(uint16_t) * w * h));
} else {
blurred = (uint8_t *)aom_memalign(32, sizeof(uint8_t) * w * h);
}
av1_gaussian_blur(src, src_stride, w, h, blurred, high_bd, bd);
// Skip the non-maximum suppression step in Canny edge detection. We just
// want a probability of an edge existing in the buffer, which is determined
// by the strongest edge in it -- we don't need to eliminate the weaker
// edges. Use Sobel for the edge detection.
EdgeInfo prob = edge_probability(blurred, w, h, high_bd, bd);
if (high_bd) {
aom_free(CONVERT_TO_SHORTPTR(blurred));
} else {
aom_free(blurred);
}
return prob;
}