Coverage Report

Created: 2026-06-15 06:25

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/work/aom/av1/encoder/rd.c
Line
Count
Source
1
/*
2
 * Copyright (c) 2016, Alliance for Open Media. All rights reserved
3
 *
4
 * This source code is subject to the terms of the BSD 2 Clause License and
5
 * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
6
 * was not distributed with this source code in the LICENSE file, you can
7
 * obtain it at www.aomedia.org/license/software. If the Alliance for Open
8
 * Media Patent License 1.0 was not distributed with this source code in the
9
 * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
10
 */
11
12
#include <assert.h>
13
#include <math.h>
14
#include <stdio.h>
15
16
#include "config/av1_rtcd.h"
17
18
#include "aom_dsp/aom_dsp_common.h"
19
#include "aom_mem/aom_mem.h"
20
#include "aom_ports/bitops.h"
21
#include "aom_ports/mem.h"
22
23
#include "av1/common/common.h"
24
#include "av1/common/entropy.h"
25
#include "av1/common/entropymode.h"
26
#include "av1/common/mvref_common.h"
27
#include "av1/common/pred_common.h"
28
#include "av1/common/quant_common.h"
29
#include "av1/common/reconinter.h"
30
#include "av1/common/reconintra.h"
31
#include "av1/common/seg_common.h"
32
33
#include "av1/encoder/av1_quantize.h"
34
#include "av1/encoder/cost.h"
35
#include "av1/encoder/encodemb.h"
36
#include "av1/encoder/encodemv.h"
37
#include "av1/encoder/encoder.h"
38
#include "av1/encoder/encodetxb.h"
39
#include "av1/encoder/mcomp.h"
40
#include "av1/encoder/ratectrl.h"
41
#include "av1/encoder/rd.h"
42
#include "av1/encoder/tokenize.h"
43
44
#define RD_THRESH_POW 1.25
45
46
// The baseline rd thresholds for breaking out of the rd loop for
47
// certain modes are assumed to be based on 8x8 blocks.
48
// This table is used to correct for block size.
49
// The factors here are << 2 (2 = x0.5, 32 = x8 etc).
50
static const uint8_t rd_thresh_block_size_factor[BLOCK_SIZES_ALL] = {
51
  2, 3, 3, 4, 6, 6, 8, 12, 12, 16, 24, 24, 32, 48, 48, 64, 4, 4, 8, 8, 16, 16
52
};
53
54
static const int use_intra_ext_tx_for_txsize[EXT_TX_SETS_INTRA]
55
                                            [EXT_TX_SIZES] = {
56
                                              { 1, 1, 1, 1 },  // unused
57
                                              { 1, 1, 0, 0 },
58
                                              { 0, 0, 1, 0 },
59
                                            };
60
61
static const int use_inter_ext_tx_for_txsize[EXT_TX_SETS_INTER]
62
                                            [EXT_TX_SIZES] = {
63
                                              { 1, 1, 1, 1 },  // unused
64
                                              { 1, 1, 0, 0 },
65
                                              { 0, 0, 1, 0 },
66
                                              { 0, 1, 1, 1 },
67
                                            };
68
69
static const int av1_ext_tx_set_idx_to_type[2][AOMMAX(EXT_TX_SETS_INTRA,
70
                                                      EXT_TX_SETS_INTER)] = {
71
  {
72
      // Intra
73
      EXT_TX_SET_DCTONLY,
74
      EXT_TX_SET_DTT4_IDTX_1DDCT,
75
      EXT_TX_SET_DTT4_IDTX,
76
  },
77
  {
78
      // Inter
79
      EXT_TX_SET_DCTONLY,
80
      EXT_TX_SET_ALL16,
81
      EXT_TX_SET_DTT9_IDTX_1DDCT,
82
      EXT_TX_SET_DCT_IDTX,
83
  },
84
};
85
86
void av1_fill_mode_rates(AV1_COMMON *const cm, ModeCosts *mode_costs,
87
8.44k
                         FRAME_CONTEXT *fc) {
88
8.44k
  int i, j;
89
90
177k
  for (i = 0; i < PARTITION_CONTEXTS; ++i)
91
168k
    av1_cost_tokens_from_cdf(mode_costs->partition_cost[i],
92
168k
                             fc->partition_cdf[i], NULL);
93
94
8.44k
  if (cm->current_frame.skip_mode_info.skip_mode_flag) {
95
0
    for (i = 0; i < SKIP_MODE_CONTEXTS; ++i) {
96
0
      av1_cost_tokens_from_cdf(mode_costs->skip_mode_cost[i],
97
0
                               fc->skip_mode_cdfs[i], NULL);
98
0
    }
99
0
  }
100
101
33.8k
  for (i = 0; i < SKIP_CONTEXTS; ++i) {
102
25.3k
    av1_cost_tokens_from_cdf(mode_costs->skip_txfm_cost[i],
103
25.3k
                             fc->skip_txfm_cdfs[i], NULL);
104
25.3k
  }
105
106
50.7k
  for (i = 0; i < KF_MODE_CONTEXTS; ++i)
107
253k
    for (j = 0; j < KF_MODE_CONTEXTS; ++j)
108
211k
      av1_cost_tokens_from_cdf(mode_costs->y_mode_costs[i][j],
109
211k
                               fc->kf_y_cdf[i][j], NULL);
110
111
42.2k
  for (i = 0; i < BLOCK_SIZE_GROUPS; ++i)
112
33.8k
    av1_cost_tokens_from_cdf(mode_costs->mbmode_cost[i], fc->y_mode_cdf[i],
113
33.8k
                             NULL);
114
25.3k
  for (i = 0; i < CFL_ALLOWED_TYPES; ++i)
115
236k
    for (j = 0; j < INTRA_MODES; ++j)
116
219k
      av1_cost_tokens_from_cdf(mode_costs->intra_uv_mode_cost[i][j],
117
219k
                               fc->uv_mode_cdf[i][j], NULL);
118
119
8.44k
  av1_cost_tokens_from_cdf(mode_costs->filter_intra_mode_cost,
120
8.44k
                           fc->filter_intra_mode_cdf, NULL);
121
194k
  for (i = 0; i < BLOCK_SIZES_ALL; ++i) {
122
185k
    if (av1_filter_intra_allowed_bsize(cm, i))
123
118k
      av1_cost_tokens_from_cdf(mode_costs->filter_intra_cost[i],
124
118k
                               fc->filter_intra_cdfs[i], NULL);
125
185k
  }
126
127
143k
  for (i = 0; i < SWITCHABLE_FILTER_CONTEXTS; ++i)
128
135k
    av1_cost_tokens_from_cdf(mode_costs->switchable_interp_costs[i],
129
135k
                             fc->switchable_interp_cdf[i], NULL);
130
131
67.6k
  for (i = 0; i < PALATTE_BSIZE_CTXS; ++i) {
132
59.1k
    av1_cost_tokens_from_cdf(mode_costs->palette_y_size_cost[i],
133
59.1k
                             fc->palette_y_size_cdf[i], NULL);
134
59.1k
    av1_cost_tokens_from_cdf(mode_costs->palette_uv_size_cost[i],
135
59.1k
                             fc->palette_uv_size_cdf[i], NULL);
136
236k
    for (j = 0; j < PALETTE_Y_MODE_CONTEXTS; ++j) {
137
177k
      av1_cost_tokens_from_cdf(mode_costs->palette_y_mode_cost[i][j],
138
177k
                               fc->palette_y_mode_cdf[i][j], NULL);
139
177k
    }
140
59.1k
  }
141
142
25.3k
  for (i = 0; i < PALETTE_UV_MODE_CONTEXTS; ++i) {
143
16.9k
    av1_cost_tokens_from_cdf(mode_costs->palette_uv_mode_cost[i],
144
16.9k
                             fc->palette_uv_mode_cdf[i], NULL);
145
16.9k
  }
146
147
67.6k
  for (i = 0; i < PALETTE_SIZES; ++i) {
148
354k
    for (j = 0; j < PALETTE_COLOR_INDEX_CONTEXTS; ++j) {
149
295k
      av1_cost_tokens_from_cdf(mode_costs->palette_y_color_cost[i][j],
150
295k
                               fc->palette_y_color_index_cdf[i][j], NULL);
151
295k
      av1_cost_tokens_from_cdf(mode_costs->palette_uv_color_cost[i][j],
152
295k
                               fc->palette_uv_color_index_cdf[i][j], NULL);
153
295k
    }
154
59.1k
  }
155
156
8.44k
  int sign_cost[CFL_JOINT_SIGNS];
157
8.44k
  av1_cost_tokens_from_cdf(sign_cost, fc->cfl_sign_cdf, NULL);
158
76.0k
  for (int joint_sign = 0; joint_sign < CFL_JOINT_SIGNS; joint_sign++) {
159
67.6k
    int *cost_u = mode_costs->cfl_cost[joint_sign][CFL_PRED_U];
160
67.6k
    int *cost_v = mode_costs->cfl_cost[joint_sign][CFL_PRED_V];
161
67.6k
    if (CFL_SIGN_U(joint_sign) == CFL_SIGN_ZERO) {
162
16.9k
      memset(cost_u, 0, CFL_ALPHABET_SIZE * sizeof(*cost_u));
163
50.7k
    } else {
164
50.7k
      const aom_cdf_prob *cdf_u = fc->cfl_alpha_cdf[CFL_CONTEXT_U(joint_sign)];
165
50.7k
      av1_cost_tokens_from_cdf(cost_u, cdf_u, NULL);
166
50.7k
    }
167
67.6k
    if (CFL_SIGN_V(joint_sign) == CFL_SIGN_ZERO) {
168
16.9k
      memset(cost_v, 0, CFL_ALPHABET_SIZE * sizeof(*cost_v));
169
50.7k
    } else {
170
50.7k
      const aom_cdf_prob *cdf_v = fc->cfl_alpha_cdf[CFL_CONTEXT_V(joint_sign)];
171
50.7k
      av1_cost_tokens_from_cdf(cost_v, cdf_v, NULL);
172
50.7k
    }
173
1.14M
    for (int u = 0; u < CFL_ALPHABET_SIZE; u++)
174
1.08M
      cost_u[u] += sign_cost[joint_sign];
175
67.6k
  }
176
177
42.2k
  for (i = 0; i < MAX_TX_CATS; ++i)
178
135k
    for (j = 0; j < TX_SIZE_CONTEXTS; ++j)
179
101k
      av1_cost_tokens_from_cdf(mode_costs->tx_size_cost[i][j],
180
101k
                               fc->tx_size_cdf[i][j], NULL);
181
182
185k
  for (i = 0; i < TXFM_PARTITION_CONTEXTS; ++i) {
183
177k
    av1_cost_tokens_from_cdf(mode_costs->txfm_partition_cost[i],
184
177k
                             fc->txfm_partition_cdf[i], NULL);
185
177k
  }
186
187
42.2k
  for (i = TX_4X4; i < EXT_TX_SIZES; ++i) {
188
33.8k
    int s;
189
135k
    for (s = 1; s < EXT_TX_SETS_INTER; ++s) {
190
101k
      if (use_inter_ext_tx_for_txsize[s][i]) {
191
50.7k
        av1_cost_tokens_from_cdf(
192
50.7k
            mode_costs->inter_tx_type_costs[s][i], fc->inter_ext_tx_cdf[s][i],
193
50.7k
            av1_ext_tx_inv[av1_ext_tx_set_idx_to_type[1][s]]);
194
50.7k
      }
195
101k
    }
196
101k
    for (s = 1; s < EXT_TX_SETS_INTRA; ++s) {
197
67.6k
      if (use_intra_ext_tx_for_txsize[s][i]) {
198
354k
        for (j = 0; j < INTRA_MODES; ++j) {
199
329k
          av1_cost_tokens_from_cdf(
200
329k
              mode_costs->intra_tx_type_costs[s][i][j],
201
329k
              fc->intra_ext_tx_cdf[s][i][j],
202
329k
              av1_ext_tx_inv[av1_ext_tx_set_idx_to_type[0][s]]);
203
329k
        }
204
25.3k
      }
205
67.6k
    }
206
33.8k
  }
207
76.0k
  for (i = 0; i < DIRECTIONAL_MODES; ++i) {
208
67.6k
    av1_cost_tokens_from_cdf(mode_costs->angle_delta_cost[i],
209
67.6k
                             fc->angle_delta_cdf[i], NULL);
210
67.6k
  }
211
8.44k
  av1_cost_tokens_from_cdf(mode_costs->intrabc_cost, fc->intrabc_cdf, NULL);
212
213
8.44k
  if (!frame_is_intra_only(cm)) {
214
0
    for (i = 0; i < COMP_INTER_CONTEXTS; ++i) {
215
0
      av1_cost_tokens_from_cdf(mode_costs->comp_inter_cost[i],
216
0
                               fc->comp_inter_cdf[i], NULL);
217
0
    }
218
219
0
    for (i = 0; i < REF_CONTEXTS; ++i) {
220
0
      for (j = 0; j < SINGLE_REFS - 1; ++j) {
221
0
        av1_cost_tokens_from_cdf(mode_costs->single_ref_cost[i][j],
222
0
                                 fc->single_ref_cdf[i][j], NULL);
223
0
      }
224
0
    }
225
226
0
    for (i = 0; i < COMP_REF_TYPE_CONTEXTS; ++i) {
227
0
      av1_cost_tokens_from_cdf(mode_costs->comp_ref_type_cost[i],
228
0
                               fc->comp_ref_type_cdf[i], NULL);
229
0
    }
230
231
0
    for (i = 0; i < UNI_COMP_REF_CONTEXTS; ++i) {
232
0
      for (j = 0; j < UNIDIR_COMP_REFS - 1; ++j) {
233
0
        av1_cost_tokens_from_cdf(mode_costs->uni_comp_ref_cost[i][j],
234
0
                                 fc->uni_comp_ref_cdf[i][j], NULL);
235
0
      }
236
0
    }
237
238
0
    for (i = 0; i < REF_CONTEXTS; ++i) {
239
0
      for (j = 0; j < FWD_REFS - 1; ++j) {
240
0
        av1_cost_tokens_from_cdf(mode_costs->comp_ref_cost[i][j],
241
0
                                 fc->comp_ref_cdf[i][j], NULL);
242
0
      }
243
0
    }
244
245
0
    for (i = 0; i < REF_CONTEXTS; ++i) {
246
0
      for (j = 0; j < BWD_REFS - 1; ++j) {
247
0
        av1_cost_tokens_from_cdf(mode_costs->comp_bwdref_cost[i][j],
248
0
                                 fc->comp_bwdref_cdf[i][j], NULL);
249
0
      }
250
0
    }
251
252
0
    for (i = 0; i < INTRA_INTER_CONTEXTS; ++i) {
253
0
      av1_cost_tokens_from_cdf(mode_costs->intra_inter_cost[i],
254
0
                               fc->intra_inter_cdf[i], NULL);
255
0
    }
256
257
0
    for (i = 0; i < NEWMV_MODE_CONTEXTS; ++i) {
258
0
      av1_cost_tokens_from_cdf(mode_costs->newmv_mode_cost[i], fc->newmv_cdf[i],
259
0
                               NULL);
260
0
    }
261
262
0
    for (i = 0; i < GLOBALMV_MODE_CONTEXTS; ++i) {
263
0
      av1_cost_tokens_from_cdf(mode_costs->zeromv_mode_cost[i],
264
0
                               fc->zeromv_cdf[i], NULL);
265
0
    }
266
267
0
    for (i = 0; i < REFMV_MODE_CONTEXTS; ++i) {
268
0
      av1_cost_tokens_from_cdf(mode_costs->refmv_mode_cost[i], fc->refmv_cdf[i],
269
0
                               NULL);
270
0
    }
271
272
0
    for (i = 0; i < DRL_MODE_CONTEXTS; ++i) {
273
0
      av1_cost_tokens_from_cdf(mode_costs->drl_mode_cost0[i], fc->drl_cdf[i],
274
0
                               NULL);
275
0
    }
276
0
    for (i = 0; i < INTER_MODE_CONTEXTS; ++i)
277
0
      av1_cost_tokens_from_cdf(mode_costs->inter_compound_mode_cost[i],
278
0
                               fc->inter_compound_mode_cdf[i], NULL);
279
0
    for (i = 0; i < BLOCK_SIZES_ALL; ++i)
280
0
      av1_cost_tokens_from_cdf(mode_costs->compound_type_cost[i],
281
0
                               fc->compound_type_cdf[i], NULL);
282
0
    for (i = 0; i < BLOCK_SIZES_ALL; ++i) {
283
0
      if (av1_is_wedge_used(i)) {
284
0
        av1_cost_tokens_from_cdf(mode_costs->wedge_idx_cost[i],
285
0
                                 fc->wedge_idx_cdf[i], NULL);
286
0
      }
287
0
    }
288
0
    for (i = 0; i < BLOCK_SIZE_GROUPS; ++i) {
289
0
      av1_cost_tokens_from_cdf(mode_costs->interintra_cost[i],
290
0
                               fc->interintra_cdf[i], NULL);
291
0
      av1_cost_tokens_from_cdf(mode_costs->interintra_mode_cost[i],
292
0
                               fc->interintra_mode_cdf[i], NULL);
293
0
    }
294
0
    for (i = 0; i < BLOCK_SIZES_ALL; ++i) {
295
0
      av1_cost_tokens_from_cdf(mode_costs->wedge_interintra_cost[i],
296
0
                               fc->wedge_interintra_cdf[i], NULL);
297
0
    }
298
0
    for (i = BLOCK_8X8; i < BLOCK_SIZES_ALL; i++) {
299
0
      av1_cost_tokens_from_cdf(mode_costs->motion_mode_cost[i],
300
0
                               fc->motion_mode_cdf[i], NULL);
301
0
    }
302
0
    for (i = BLOCK_8X8; i < BLOCK_SIZES_ALL; i++) {
303
0
      av1_cost_tokens_from_cdf(mode_costs->motion_mode_cost1[i],
304
0
                               fc->obmc_cdf[i], NULL);
305
0
    }
306
0
    for (i = 0; i < COMP_INDEX_CONTEXTS; ++i) {
307
0
      av1_cost_tokens_from_cdf(mode_costs->comp_idx_cost[i],
308
0
                               fc->compound_index_cdf[i], NULL);
309
0
    }
310
0
    for (i = 0; i < COMP_GROUP_IDX_CONTEXTS; ++i) {
311
0
      av1_cost_tokens_from_cdf(mode_costs->comp_group_idx_cost[i],
312
0
                               fc->comp_group_idx_cdf[i], NULL);
313
0
    }
314
0
  }
315
8.44k
}
316
317
0
void av1_fill_lr_rates(ModeCosts *mode_costs, FRAME_CONTEXT *fc) {
318
0
  av1_cost_tokens_from_cdf(mode_costs->switchable_restore_cost,
319
0
                           fc->switchable_restore_cdf, NULL);
320
0
  av1_cost_tokens_from_cdf(mode_costs->wiener_restore_cost,
321
0
                           fc->wiener_restore_cdf, NULL);
322
0
  av1_cost_tokens_from_cdf(mode_costs->sgrproj_restore_cost,
323
0
                           fc->sgrproj_restore_cdf, NULL);
324
0
}
325
326
// Values are now correlated to quantizer.
327
static int sad_per_bit_lut_8[QINDEX_RANGE];
328
static int sad_per_bit_lut_10[QINDEX_RANGE];
329
static int sad_per_bit_lut_12[QINDEX_RANGE];
330
331
static void init_me_luts_bd(int *bit16lut, int range,
332
3
                            aom_bit_depth_t bit_depth) {
333
3
  int i;
334
  // Initialize the sad lut tables using a formulaic calculation for now.
335
  // This is to make it easier to resolve the impact of experimental changes
336
  // to the quantizer tables.
337
771
  for (i = 0; i < range; i++) {
338
768
    const double q = av1_convert_qindex_to_q(i, bit_depth);
339
768
    bit16lut[i] = (int)(0.0418 * q + 2.4107);
340
768
  }
341
3
}
342
343
1
void av1_init_me_luts(void) {
344
1
  init_me_luts_bd(sad_per_bit_lut_8, QINDEX_RANGE, AOM_BITS_8);
345
1
  init_me_luts_bd(sad_per_bit_lut_10, QINDEX_RANGE, AOM_BITS_10);
346
1
  init_me_luts_bd(sad_per_bit_lut_12, QINDEX_RANGE, AOM_BITS_12);
347
1
}
348
349
static const int rd_boost_factor[16] = { 64, 32, 32, 32, 24, 16, 12, 12,
350
                                         8,  8,  4,  4,  2,  2,  1,  0 };
351
352
static const int rd_layer_depth_factor[7] = {
353
  160, 160, 160, 160, 192, 208, 224
354
};
355
356
// Returns the default rd multiplier for inter frames for a given qindex.
357
// The function here is a first pass estimate based on data from
358
// a previous Vizer run
359
0
static double def_inter_rd_multiplier(int qindex) {
360
0
  return 3.2 + (0.0035 * (double)qindex);
361
0
}
362
363
// Returns the default rd multiplier for ARF/Golden Frames for a given qindex.
364
// The function here is a first pass estimate based on data from
365
// a previous Vizer run
366
0
static double def_arf_rd_multiplier(int qindex) {
367
0
  return 3.25 + (0.0035 * (double)qindex);
368
0
}
369
370
// Returns the default rd multiplier for key frames for a given qindex.
371
// The function here is a first pass estimate based on data from
372
// a previous Vizer run
373
1.57k
static double def_kf_rd_multiplier(int qindex) {
374
1.57k
  return 3.3 + (0.0035 * (double)qindex);
375
1.57k
}
376
377
int av1_compute_rd_mult_based_on_qindex(aom_bit_depth_t bit_depth,
378
                                        FRAME_UPDATE_TYPE update_type,
379
1.57k
                                        int qindex) {
380
1.57k
  const int q = av1_dc_quant_QTX(qindex, 0, bit_depth);
381
1.57k
  int rdmult = q * q;
382
1.57k
  if (update_type == KF_UPDATE) {
383
1.57k
    double def_rd_q_mult = def_kf_rd_multiplier(qindex);
384
1.57k
    rdmult = (int)((double)rdmult * def_rd_q_mult);
385
1.57k
  } else if ((update_type == GF_UPDATE) || (update_type == ARF_UPDATE)) {
386
0
    double def_rd_q_mult = def_arf_rd_multiplier(qindex);
387
0
    rdmult = (int)((double)rdmult * def_rd_q_mult);
388
0
  } else {
389
0
    double def_rd_q_mult = def_inter_rd_multiplier(qindex);
390
0
    rdmult = (int)((double)rdmult * def_rd_q_mult);
391
0
  }
392
393
1.57k
  switch (bit_depth) {
394
1.57k
    case AOM_BITS_8: break;
395
0
    case AOM_BITS_10: rdmult = ROUND_POWER_OF_TWO(rdmult, 4); break;
396
0
    case AOM_BITS_12: rdmult = ROUND_POWER_OF_TWO(rdmult, 8); break;
397
0
    default:
398
0
      assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12");
399
0
      return -1;
400
1.57k
  }
401
1.57k
  return rdmult > 0 ? rdmult : 1;
402
1.57k
}
403
404
1.57k
int av1_compute_rd_mult(const AV1_COMP *cpi, int qindex) {
405
1.57k
  const aom_bit_depth_t bit_depth = cpi->common.seq_params->bit_depth;
406
1.57k
  const FRAME_UPDATE_TYPE update_type =
407
1.57k
      cpi->ppi->gf_group.update_type[cpi->gf_frame_index];
408
1.57k
  int64_t rdmult =
409
1.57k
      av1_compute_rd_mult_based_on_qindex(bit_depth, update_type, qindex);
410
1.57k
  if (is_stat_consumption_stage(cpi) && !cpi->oxcf.q_cfg.use_fixed_qp_offsets &&
411
0
      (cpi->common.current_frame.frame_type != KEY_FRAME)) {
412
0
    const GF_GROUP *const gf_group = &cpi->ppi->gf_group;
413
0
    const int boost_index = AOMMIN(15, (cpi->ppi->p_rc.gfu_boost / 100));
414
0
    const int layer_depth =
415
0
        AOMMIN(gf_group->layer_depth[cpi->gf_frame_index], 6);
416
417
    // Layer depth adjustment
418
0
    rdmult = (rdmult * rd_layer_depth_factor[layer_depth]) >> 7;
419
420
    // ARF boost adjustment
421
0
    rdmult += ((rdmult * rd_boost_factor[boost_index]) >> 7);
422
0
  }
423
1.57k
  return (int)rdmult;
424
1.57k
}
425
426
0
int av1_get_deltaq_offset(aom_bit_depth_t bit_depth, int qindex, double beta) {
427
0
  assert(beta > 0.0);
428
0
  int q = av1_dc_quant_QTX(qindex, 0, bit_depth);
429
0
  int newq = (int)rint(q / sqrt(beta));
430
0
  int orig_qindex = qindex;
431
0
  if (newq == q) {
432
0
    return 0;
433
0
  }
434
0
  if (newq < q) {
435
0
    while (qindex > 0) {
436
0
      qindex--;
437
0
      q = av1_dc_quant_QTX(qindex, 0, bit_depth);
438
0
      if (newq >= q) {
439
0
        break;
440
0
      }
441
0
    }
442
0
  } else {
443
0
    while (qindex < MAXQ) {
444
0
      qindex++;
445
0
      q = av1_dc_quant_QTX(qindex, 0, bit_depth);
446
0
      if (newq <= q) {
447
0
        break;
448
0
      }
449
0
    }
450
0
  }
451
0
  return qindex - orig_qindex;
452
0
}
453
454
int av1_adjust_q_from_delta_q_res(int delta_q_res, int prev_qindex,
455
0
                                  int curr_qindex) {
456
0
  curr_qindex = clamp(curr_qindex, delta_q_res, 256 - delta_q_res);
457
0
  const int sign_deltaq_index = curr_qindex - prev_qindex >= 0 ? 1 : -1;
458
0
  const int deltaq_deadzone = delta_q_res / 4;
459
0
  const int qmask = ~(delta_q_res - 1);
460
0
  int abs_deltaq_index = abs(curr_qindex - prev_qindex);
461
0
  abs_deltaq_index = (abs_deltaq_index + deltaq_deadzone) & qmask;
462
0
  int adjust_qindex = prev_qindex + sign_deltaq_index * abs_deltaq_index;
463
0
  adjust_qindex = AOMMAX(adjust_qindex, MINQ + 1);
464
0
  return adjust_qindex;
465
0
}
466
467
0
int av1_get_adaptive_rdmult(const AV1_COMP *cpi, double beta) {
468
0
  assert(beta > 0.0);
469
0
  const AV1_COMMON *cm = &cpi->common;
470
0
  int q = av1_dc_quant_QTX(cm->quant_params.base_qindex, 0,
471
0
                           cm->seq_params->bit_depth);
472
473
0
  return (int)(av1_compute_rd_mult(cpi, q) / beta);
474
0
}
475
476
6.28k
static int compute_rd_thresh_factor(int qindex, aom_bit_depth_t bit_depth) {
477
6.28k
  double q;
478
6.28k
  switch (bit_depth) {
479
6.28k
    case AOM_BITS_8: q = av1_dc_quant_QTX(qindex, 0, AOM_BITS_8) / 4.0; break;
480
0
    case AOM_BITS_10:
481
0
      q = av1_dc_quant_QTX(qindex, 0, AOM_BITS_10) / 16.0;
482
0
      break;
483
0
    case AOM_BITS_12:
484
0
      q = av1_dc_quant_QTX(qindex, 0, AOM_BITS_12) / 64.0;
485
0
      break;
486
0
    default:
487
0
      assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12");
488
0
      return -1;
489
6.28k
  }
490
  // TODO(debargha): Adjust the function below.
491
6.28k
  return AOMMAX((int)(pow(q, RD_THRESH_POW) * 5.12), 8);
492
6.28k
}
493
494
1.57k
void av1_set_sad_per_bit(const AV1_COMP *cpi, int *sadperbit, int qindex) {
495
1.57k
  switch (cpi->common.seq_params->bit_depth) {
496
1.57k
    case AOM_BITS_8: *sadperbit = sad_per_bit_lut_8[qindex]; break;
497
0
    case AOM_BITS_10: *sadperbit = sad_per_bit_lut_10[qindex]; break;
498
0
    case AOM_BITS_12: *sadperbit = sad_per_bit_lut_12[qindex]; break;
499
0
    default:
500
0
      assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12");
501
1.57k
  }
502
1.57k
}
503
504
786
static void set_block_thresholds(const AV1_COMMON *cm, RD_OPT *rd) {
505
786
  int i, bsize, segment_id;
506
507
7.07k
  for (segment_id = 0; segment_id < MAX_SEGMENTS; ++segment_id) {
508
6.28k
    const int qindex = clamp(
509
6.28k
        av1_get_qindex(&cm->seg, segment_id, cm->quant_params.base_qindex) +
510
6.28k
            cm->quant_params.y_dc_delta_q,
511
6.28k
        0, MAXQ);
512
6.28k
    const int q = compute_rd_thresh_factor(qindex, cm->seq_params->bit_depth);
513
514
144k
    for (bsize = 0; bsize < BLOCK_SIZES_ALL; ++bsize) {
515
      // Threshold here seems unnecessarily harsh but fine given actual
516
      // range of values used for cpi->sf.thresh_mult[].
517
138k
      const int t = q * rd_thresh_block_size_factor[bsize];
518
138k
      const int thresh_max = INT_MAX / t;
519
520
23.5M
      for (i = 0; i < MAX_MODES; ++i)
521
23.3M
        rd->threshes[segment_id][bsize][i] = rd->thresh_mult[i] < thresh_max
522
23.3M
                                                 ? rd->thresh_mult[i] * t / 4
523
23.3M
                                                 : INT_MAX;
524
138k
    }
525
6.28k
  }
526
786
}
527
528
void av1_fill_coeff_costs(CoeffCosts *coeff_costs, FRAME_CONTEXT *fc,
529
8.45k
                          const int num_planes) {
530
8.45k
  const int nplanes = AOMMIN(num_planes, PLANE_TYPES);
531
67.6k
  for (int eob_multi_size = 0; eob_multi_size < 7; ++eob_multi_size) {
532
177k
    for (int plane = 0; plane < nplanes; ++plane) {
533
118k
      LV_MAP_EOB_COST *pcost = &coeff_costs->eob_costs[eob_multi_size][plane];
534
535
354k
      for (int ctx = 0; ctx < 2; ++ctx) {
536
236k
        aom_cdf_prob *pcdf;
537
236k
        switch (eob_multi_size) {
538
33.7k
          case 0: pcdf = fc->eob_flag_cdf16[plane][ctx]; break;
539
33.8k
          case 1: pcdf = fc->eob_flag_cdf32[plane][ctx]; break;
540
33.8k
          case 2: pcdf = fc->eob_flag_cdf64[plane][ctx]; break;
541
33.8k
          case 3: pcdf = fc->eob_flag_cdf128[plane][ctx]; break;
542
33.8k
          case 4: pcdf = fc->eob_flag_cdf256[plane][ctx]; break;
543
33.8k
          case 5: pcdf = fc->eob_flag_cdf512[plane][ctx]; break;
544
33.8k
          case 6:
545
33.8k
          default: pcdf = fc->eob_flag_cdf1024[plane][ctx]; break;
546
236k
        }
547
236k
        av1_cost_tokens_from_cdf(pcost->eob_cost[ctx], pcdf, NULL);
548
236k
      }
549
118k
    }
550
59.1k
  }
551
50.7k
  for (int tx_size = 0; tx_size < TX_SIZES; ++tx_size) {
552
126k
    for (int plane = 0; plane < nplanes; ++plane) {
553
84.5k
      LV_MAP_COEFF_COST *pcost = &coeff_costs->coeff_costs[tx_size][plane];
554
555
1.17M
      for (int ctx = 0; ctx < TXB_SKIP_CONTEXTS; ++ctx)
556
1.09M
        av1_cost_tokens_from_cdf(pcost->txb_skip_cost[ctx],
557
1.09M
                                 fc->txb_skip_cdf[tx_size][ctx], NULL);
558
559
422k
      for (int ctx = 0; ctx < SIG_COEF_CONTEXTS_EOB; ++ctx)
560
337k
        av1_cost_tokens_from_cdf(pcost->base_eob_cost[ctx],
561
337k
                                 fc->coeff_base_eob_cdf[tx_size][plane][ctx],
562
337k
                                 NULL);
563
3.60M
      for (int ctx = 0; ctx < SIG_COEF_CONTEXTS; ++ctx)
564
3.52M
        av1_cost_tokens_from_cdf(pcost->base_cost[ctx],
565
3.52M
                                 fc->coeff_base_cdf[tx_size][plane][ctx], NULL);
566
567
3.61M
      for (int ctx = 0; ctx < SIG_COEF_CONTEXTS; ++ctx) {
568
3.53M
        pcost->base_cost[ctx][4] = 0;
569
3.53M
        pcost->base_cost[ctx][5] = pcost->base_cost[ctx][1] +
570
3.53M
                                   av1_cost_literal(1) -
571
3.53M
                                   pcost->base_cost[ctx][0];
572
3.53M
        pcost->base_cost[ctx][6] =
573
3.53M
            pcost->base_cost[ctx][2] - pcost->base_cost[ctx][1];
574
3.53M
        pcost->base_cost[ctx][7] =
575
3.53M
            pcost->base_cost[ctx][3] - pcost->base_cost[ctx][2];
576
3.53M
      }
577
578
844k
      for (int ctx = 0; ctx < EOB_COEF_CONTEXTS; ++ctx)
579
759k
        av1_cost_tokens_from_cdf(pcost->eob_extra_cost[ctx],
580
759k
                                 fc->eob_extra_cdf[tx_size][plane][ctx], NULL);
581
582
338k
      for (int ctx = 0; ctx < DC_SIGN_CONTEXTS; ++ctx)
583
253k
        av1_cost_tokens_from_cdf(pcost->dc_sign_cost[ctx],
584
253k
                                 fc->dc_sign_cdf[plane][ctx], NULL);
585
586
1.85M
      for (int ctx = 0; ctx < LEVEL_CONTEXTS; ++ctx) {
587
1.76M
        int br_rate[BR_CDF_SIZE];
588
1.76M
        int prev_cost = 0;
589
1.76M
        int i, j;
590
1.76M
        av1_cost_tokens_from_cdf(
591
1.76M
            br_rate, fc->coeff_br_cdf[AOMMIN(tx_size, TX_32X32)][plane][ctx],
592
1.76M
            NULL);
593
        // printf("br_rate: ");
594
        // for(j = 0; j < BR_CDF_SIZE; j++)
595
        //  printf("%4d ", br_rate[j]);
596
        // printf("\n");
597
8.70M
        for (i = 0; i < COEFF_BASE_RANGE; i += BR_CDF_SIZE - 1) {
598
27.6M
          for (j = 0; j < BR_CDF_SIZE - 1; j++) {
599
20.6M
            pcost->lps_cost[ctx][i + j] = prev_cost + br_rate[j];
600
20.6M
          }
601
6.93M
          prev_cost += br_rate[j];
602
6.93M
        }
603
1.76M
        pcost->lps_cost[ctx][i] = prev_cost;
604
        // printf("lps_cost: %d %d %2d : ", tx_size, plane, ctx);
605
        // for (i = 0; i <= COEFF_BASE_RANGE; i++)
606
        //  printf("%5d ", pcost->lps_cost[ctx][i]);
607
        // printf("\n");
608
1.76M
      }
609
1.85M
      for (int ctx = 0; ctx < LEVEL_CONTEXTS; ++ctx) {
610
1.76M
        pcost->lps_cost[ctx][0 + COEFF_BASE_RANGE + 1] =
611
1.76M
            pcost->lps_cost[ctx][0];
612
22.6M
        for (int i = 1; i <= COEFF_BASE_RANGE; ++i) {
613
20.9M
          pcost->lps_cost[ctx][i + COEFF_BASE_RANGE + 1] =
614
20.9M
              pcost->lps_cost[ctx][i] - pcost->lps_cost[ctx][i - 1];
615
20.9M
        }
616
1.76M
      }
617
84.5k
    }
618
42.2k
  }
619
8.51k
}
620
621
void av1_fill_mv_costs(const nmv_context *nmvc, int integer_mv, int usehp,
622
786
                       MvCosts *mv_costs) {
623
  // Avoid accessing 'mv_costs' when it is not allocated.
624
786
  if (mv_costs == NULL) return;
625
626
0
  mv_costs->nmv_cost[0] = &mv_costs->nmv_cost_alloc[0][MV_MAX];
627
0
  mv_costs->nmv_cost[1] = &mv_costs->nmv_cost_alloc[1][MV_MAX];
628
0
  mv_costs->nmv_cost_hp[0] = &mv_costs->nmv_cost_hp_alloc[0][MV_MAX];
629
0
  mv_costs->nmv_cost_hp[1] = &mv_costs->nmv_cost_hp_alloc[1][MV_MAX];
630
0
  if (integer_mv) {
631
0
    mv_costs->mv_cost_stack = (int **)&mv_costs->nmv_cost;
632
0
    av1_build_nmv_cost_table(mv_costs->nmv_joint_cost, mv_costs->mv_cost_stack,
633
0
                             nmvc, MV_SUBPEL_NONE);
634
0
  } else {
635
0
    mv_costs->mv_cost_stack =
636
0
        usehp ? mv_costs->nmv_cost_hp : mv_costs->nmv_cost;
637
0
    av1_build_nmv_cost_table(mv_costs->nmv_joint_cost, mv_costs->mv_cost_stack,
638
0
                             nmvc, usehp);
639
0
  }
640
0
}
641
642
0
void av1_fill_dv_costs(const nmv_context *ndvc, IntraBCMVCosts *dv_costs) {
643
0
  dv_costs->dv_costs[0] = &dv_costs->dv_costs_alloc[0][MV_MAX];
644
0
  dv_costs->dv_costs[1] = &dv_costs->dv_costs_alloc[1][MV_MAX];
645
0
  av1_build_nmv_cost_table(dv_costs->joint_mv, dv_costs->dv_costs, ndvc,
646
0
                           MV_SUBPEL_NONE);
647
0
}
648
649
// Populates speed features based on codec control settings (of type
650
// COST_UPDATE_TYPE) and expected speed feature settings (of type
651
// INTERNAL_COST_UPDATE_TYPE) by considering the least frequent cost update.
652
// The populated/updated speed features are used for cost updates in the
653
// encoder.
654
// WARNING: Population of unified cost update frequency needs to be taken care
655
// accordingly, in case of any modifications/additions to the enum
656
// COST_UPDATE_TYPE/INTERNAL_COST_UPDATE_TYPE.
657
static INLINE void populate_unified_cost_update_freq(
658
786
    const CostUpdateFreq cost_upd_freq, SPEED_FEATURES *const sf) {
659
786
  INTER_MODE_SPEED_FEATURES *const inter_sf = &sf->inter_sf;
660
  // Mapping of entropy cost update frequency from the encoder's codec control
661
  // settings of type COST_UPDATE_TYPE to speed features of type
662
  // INTERNAL_COST_UPDATE_TYPE.
663
786
  static const INTERNAL_COST_UPDATE_TYPE
664
786
      map_cost_upd_to_internal_cost_upd[NUM_COST_UPDATE_TYPES] = {
665
786
        INTERNAL_COST_UPD_SB, INTERNAL_COST_UPD_SBROW, INTERNAL_COST_UPD_TILE,
666
786
        INTERNAL_COST_UPD_OFF
667
786
      };
668
669
786
  inter_sf->mv_cost_upd_level =
670
786
      AOMMIN(inter_sf->mv_cost_upd_level,
671
786
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.mv]);
672
786
  inter_sf->coeff_cost_upd_level =
673
786
      AOMMIN(inter_sf->coeff_cost_upd_level,
674
786
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.coeff]);
675
786
  inter_sf->mode_cost_upd_level =
676
786
      AOMMIN(inter_sf->mode_cost_upd_level,
677
786
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.mode]);
678
786
  sf->intra_sf.dv_cost_upd_level =
679
786
      AOMMIN(sf->intra_sf.dv_cost_upd_level,
680
786
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.dv]);
681
786
}
682
683
// Checks if entropy costs should be initialized/updated at frame level or not.
684
static INLINE int is_frame_level_cost_upd_freq_set(
685
    const AV1_COMMON *const cm, const INTERNAL_COST_UPDATE_TYPE cost_upd_level,
686
2.35k
    const int use_nonrd_pick_mode, const int frames_since_key) {
687
2.35k
  const int fill_costs =
688
2.35k
      frame_is_intra_only(cm) ||
689
0
      (use_nonrd_pick_mode ? frames_since_key < 2
690
0
                           : (cm->current_frame.frame_number & 0x07) == 1);
691
2.35k
  return ((!use_nonrd_pick_mode && cost_upd_level != INTERNAL_COST_UPD_OFF) ||
692
786
          cost_upd_level == INTERNAL_COST_UPD_TILE || fill_costs);
693
2.35k
}
694
695
786
void av1_initialize_rd_consts(AV1_COMP *cpi) {
696
786
  AV1_COMMON *const cm = &cpi->common;
697
786
  MACROBLOCK *const x = &cpi->td.mb;
698
786
  SPEED_FEATURES *const sf = &cpi->sf;
699
786
  RD_OPT *const rd = &cpi->rd;
700
786
  int use_nonrd_pick_mode = cpi->sf.rt_sf.use_nonrd_pick_mode;
701
786
  int frames_since_key = cpi->rc.frames_since_key;
702
703
786
  rd->RDMULT = av1_compute_rd_mult(
704
786
      cpi, cm->quant_params.base_qindex + cm->quant_params.y_dc_delta_q);
705
#if CONFIG_RD_COMMAND
706
  if (cpi->oxcf.pass == 2) {
707
    const RD_COMMAND *rd_command = &cpi->rd_command;
708
    if (rd_command->option_ls[rd_command->frame_index] ==
709
        RD_OPTION_SET_Q_RDMULT) {
710
      rd->RDMULT = rd_command->rdmult_ls[rd_command->frame_index];
711
    }
712
  }
713
#endif  // CONFIG_RD_COMMAND
714
715
786
  av1_set_error_per_bit(&x->errorperbit, rd->RDMULT);
716
717
786
  set_block_thresholds(cm, rd);
718
719
786
  populate_unified_cost_update_freq(cpi->oxcf.cost_upd_freq, sf);
720
786
  const INTER_MODE_SPEED_FEATURES *const inter_sf = &cpi->sf.inter_sf;
721
  // Frame level mv cost update
722
786
  if (is_frame_level_cost_upd_freq_set(cm, inter_sf->mv_cost_upd_level,
723
786
                                       use_nonrd_pick_mode, frames_since_key))
724
786
    av1_fill_mv_costs(&cm->fc->nmvc, cm->features.cur_frame_force_integer_mv,
725
786
                      cm->features.allow_high_precision_mv, x->mv_costs);
726
727
  // Frame level coefficient cost update
728
786
  if (is_frame_level_cost_upd_freq_set(cm, inter_sf->coeff_cost_upd_level,
729
786
                                       use_nonrd_pick_mode, frames_since_key))
730
786
    av1_fill_coeff_costs(&x->coeff_costs, cm->fc, av1_num_planes(cm));
731
732
  // Frame level mode cost update
733
786
  if (is_frame_level_cost_upd_freq_set(cm, inter_sf->mode_cost_upd_level,
734
786
                                       use_nonrd_pick_mode, frames_since_key))
735
786
    av1_fill_mode_rates(cm, &x->mode_costs, cm->fc);
736
737
  // Frame level dv cost update
738
786
  if (!use_nonrd_pick_mode && av1_allow_intrabc(cm) &&
739
0
      !is_stat_generation_stage(cpi)) {
740
0
    av1_fill_dv_costs(&cm->fc->ndvc, x->dv_costs);
741
0
  }
742
786
}
743
744
0
static void model_rd_norm(int xsq_q10, int *r_q10, int *d_q10) {
745
  // NOTE: The tables below must be of the same size.
746
747
  // The functions described below are sampled at the four most significant
748
  // bits of x^2 + 8 / 256.
749
750
  // Normalized rate:
751
  // This table models the rate for a Laplacian source with given variance
752
  // when quantized with a uniform quantizer with given stepsize. The
753
  // closed form expression is:
754
  // Rn(x) = H(sqrt(r)) + sqrt(r)*[1 + H(r)/(1 - r)],
755
  // where r = exp(-sqrt(2) * x) and x = qpstep / sqrt(variance),
756
  // and H(x) is the binary entropy function.
757
0
  static const int rate_tab_q10[] = {
758
0
    65536, 6086, 5574, 5275, 5063, 4899, 4764, 4651, 4553, 4389, 4255, 4142,
759
0
    4044,  3958, 3881, 3811, 3748, 3635, 3538, 3453, 3376, 3307, 3244, 3186,
760
0
    3133,  3037, 2952, 2877, 2809, 2747, 2690, 2638, 2589, 2501, 2423, 2353,
761
0
    2290,  2232, 2179, 2130, 2084, 2001, 1928, 1862, 1802, 1748, 1698, 1651,
762
0
    1608,  1530, 1460, 1398, 1342, 1290, 1243, 1199, 1159, 1086, 1021, 963,
763
0
    911,   864,  821,  781,  745,  680,  623,  574,  530,  490,  455,  424,
764
0
    395,   345,  304,  269,  239,  213,  190,  171,  154,  126,  104,  87,
765
0
    73,    61,   52,   44,   38,   28,   21,   16,   12,   10,   8,    6,
766
0
    5,     3,    2,    1,    1,    1,    0,    0,
767
0
  };
768
  // Normalized distortion:
769
  // This table models the normalized distortion for a Laplacian source
770
  // with given variance when quantized with a uniform quantizer
771
  // with given stepsize. The closed form expression is:
772
  // Dn(x) = 1 - 1/sqrt(2) * x / sinh(x/sqrt(2))
773
  // where x = qpstep / sqrt(variance).
774
  // Note the actual distortion is Dn * variance.
775
0
  static const int dist_tab_q10[] = {
776
0
    0,    0,    1,    1,    1,    2,    2,    2,    3,    3,    4,    5,
777
0
    5,    6,    7,    7,    8,    9,    11,   12,   13,   15,   16,   17,
778
0
    18,   21,   24,   26,   29,   31,   34,   36,   39,   44,   49,   54,
779
0
    59,   64,   69,   73,   78,   88,   97,   106,  115,  124,  133,  142,
780
0
    151,  167,  184,  200,  215,  231,  245,  260,  274,  301,  327,  351,
781
0
    375,  397,  418,  439,  458,  495,  528,  559,  587,  613,  637,  659,
782
0
    680,  717,  749,  777,  801,  823,  842,  859,  874,  899,  919,  936,
783
0
    949,  960,  969,  977,  983,  994,  1001, 1006, 1010, 1013, 1015, 1017,
784
0
    1018, 1020, 1022, 1022, 1023, 1023, 1023, 1024,
785
0
  };
786
0
  static const int xsq_iq_q10[] = {
787
0
    0,      4,      8,      12,     16,     20,     24,     28,     32,
788
0
    40,     48,     56,     64,     72,     80,     88,     96,     112,
789
0
    128,    144,    160,    176,    192,    208,    224,    256,    288,
790
0
    320,    352,    384,    416,    448,    480,    544,    608,    672,
791
0
    736,    800,    864,    928,    992,    1120,   1248,   1376,   1504,
792
0
    1632,   1760,   1888,   2016,   2272,   2528,   2784,   3040,   3296,
793
0
    3552,   3808,   4064,   4576,   5088,   5600,   6112,   6624,   7136,
794
0
    7648,   8160,   9184,   10208,  11232,  12256,  13280,  14304,  15328,
795
0
    16352,  18400,  20448,  22496,  24544,  26592,  28640,  30688,  32736,
796
0
    36832,  40928,  45024,  49120,  53216,  57312,  61408,  65504,  73696,
797
0
    81888,  90080,  98272,  106464, 114656, 122848, 131040, 147424, 163808,
798
0
    180192, 196576, 212960, 229344, 245728,
799
0
  };
800
0
  const int tmp = (xsq_q10 >> 2) + 8;
801
0
  const int k = get_msb(tmp) - 3;
802
0
  const int xq = (k << 3) + ((tmp >> k) & 0x7);
803
0
  const int one_q10 = 1 << 10;
804
0
  const int a_q10 = ((xsq_q10 - xsq_iq_q10[xq]) << 10) >> (2 + k);
805
0
  const int b_q10 = one_q10 - a_q10;
806
0
  *r_q10 = (rate_tab_q10[xq] * b_q10 + rate_tab_q10[xq + 1] * a_q10) >> 10;
807
0
  *d_q10 = (dist_tab_q10[xq] * b_q10 + dist_tab_q10[xq + 1] * a_q10) >> 10;
808
0
}
809
810
void av1_model_rd_from_var_lapndz(int64_t var, unsigned int n_log2,
811
                                  unsigned int qstep, int *rate,
812
0
                                  int64_t *dist) {
813
  // This function models the rate and distortion for a Laplacian
814
  // source with given variance when quantized with a uniform quantizer
815
  // with given stepsize. The closed form expressions are in:
816
  // Hang and Chen, "Source Model for transform video coder and its
817
  // application - Part I: Fundamental Theory", IEEE Trans. Circ.
818
  // Sys. for Video Tech., April 1997.
819
0
  if (var == 0) {
820
0
    *rate = 0;
821
0
    *dist = 0;
822
0
  } else {
823
0
    int d_q10, r_q10;
824
0
    static const uint32_t MAX_XSQ_Q10 = 245727;
825
0
    const uint64_t xsq_q10_64 =
826
0
        (((uint64_t)qstep * qstep << (n_log2 + 10)) + (var >> 1)) / var;
827
0
    const int xsq_q10 = (int)AOMMIN(xsq_q10_64, MAX_XSQ_Q10);
828
0
    model_rd_norm(xsq_q10, &r_q10, &d_q10);
829
0
    *rate = ROUND_POWER_OF_TWO(r_q10 << n_log2, 10 - AV1_PROB_COST_SHIFT);
830
0
    *dist = (var * (int64_t)d_q10 + 512) >> 10;
831
0
  }
832
0
}
833
834
0
static double interp_cubic(const double *p, double x) {
835
0
  return p[1] + 0.5 * x *
836
0
                    (p[2] - p[0] +
837
0
                     x * (2.0 * p[0] - 5.0 * p[1] + 4.0 * p[2] - p[3] +
838
0
                          x * (3.0 * (p[1] - p[2]) + p[3] - p[0])));
839
0
}
840
841
/*
842
static double interp_bicubic(const double *p, int p_stride, double x,
843
                             double y) {
844
  double q[4];
845
  q[0] = interp_cubic(p, x);
846
  q[1] = interp_cubic(p + p_stride, x);
847
  q[2] = interp_cubic(p + 2 * p_stride, x);
848
  q[3] = interp_cubic(p + 3 * p_stride, x);
849
  return interp_cubic(q, y);
850
}
851
*/
852
853
static const uint8_t bsize_curvfit_model_cat_lookup[BLOCK_SIZES_ALL] = {
854
  0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 1, 1, 2, 2, 3, 3
855
};
856
857
0
static int sse_norm_curvfit_model_cat_lookup(double sse_norm) {
858
0
  return (sse_norm > 16.0);
859
0
}
860
861
// Models distortion by sse using a logistic function on
862
// l = log2(sse / q^2) as:
863
// dbysse = 16 / (1 + k exp(l + c))
864
0
static double get_dbysse_logistic(double l, double c, double k) {
865
0
  const double A = 16.0;
866
0
  const double dbysse = A / (1 + k * exp(l + c));
867
0
  return dbysse;
868
0
}
869
870
// Models rate using a clamped linear function on
871
// l = log2(sse / q^2) as:
872
// rate = max(0, a + b * l)
873
0
static double get_rate_clamplinear(double l, double a, double b) {
874
0
  const double rate = a + b * l;
875
0
  return (rate < 0 ? 0 : rate);
876
0
}
877
878
static const uint8_t bsize_surffit_model_cat_lookup[BLOCK_SIZES_ALL] = {
879
  0, 0, 0, 0, 1, 1, 2, 3, 3, 4, 5, 5, 6, 7, 7, 8, 0, 0, 2, 2, 4, 4
880
};
881
882
static const double surffit_rate_params[9][4] = {
883
  {
884
      638.390212,
885
      2.253108,
886
      166.585650,
887
      -3.939401,
888
  },
889
  {
890
      5.256905,
891
      81.997240,
892
      -1.321771,
893
      17.694216,
894
  },
895
  {
896
      -74.193045,
897
      72.431868,
898
      -19.033152,
899
      15.407276,
900
  },
901
  {
902
      416.770113,
903
      14.794188,
904
      167.686830,
905
      -6.997756,
906
  },
907
  {
908
      378.511276,
909
      9.558376,
910
      154.658843,
911
      -6.635663,
912
  },
913
  {
914
      277.818787,
915
      4.413180,
916
      150.317637,
917
      -9.893038,
918
  },
919
  {
920
      142.212132,
921
      11.542038,
922
      94.393964,
923
      -5.518517,
924
  },
925
  {
926
      219.100256,
927
      4.007421,
928
      108.932852,
929
      -6.981310,
930
  },
931
  {
932
      222.261971,
933
      3.251049,
934
      95.972916,
935
      -5.609789,
936
  },
937
};
938
939
static const double surffit_dist_params[7] = { 1.475844,  4.328362, -5.680233,
940
                                               -0.500994, 0.554585, 4.839478,
941
                                               -0.695837 };
942
943
static void rate_surffit_model_params_lookup(BLOCK_SIZE bsize, double xm,
944
0
                                             double *rpar) {
945
0
  const int cat = bsize_surffit_model_cat_lookup[bsize];
946
0
  rpar[0] = surffit_rate_params[cat][0] + surffit_rate_params[cat][1] * xm;
947
0
  rpar[1] = surffit_rate_params[cat][2] + surffit_rate_params[cat][3] * xm;
948
0
}
949
950
static void dist_surffit_model_params_lookup(BLOCK_SIZE bsize, double xm,
951
0
                                             double *dpar) {
952
0
  (void)bsize;
953
0
  const double *params = surffit_dist_params;
954
0
  dpar[0] = params[0] + params[1] / (1 + exp((xm + params[2]) * params[3]));
955
0
  dpar[1] = params[4] + params[5] * exp(params[6] * xm);
956
0
}
957
958
void av1_model_rd_surffit(BLOCK_SIZE bsize, double sse_norm, double xm,
959
0
                          double yl, double *rate_f, double *distbysse_f) {
960
0
  (void)sse_norm;
961
0
  double rpar[2], dpar[2];
962
0
  rate_surffit_model_params_lookup(bsize, xm, rpar);
963
0
  dist_surffit_model_params_lookup(bsize, xm, dpar);
964
965
0
  *rate_f = get_rate_clamplinear(yl, rpar[0], rpar[1]);
966
0
  *distbysse_f = get_dbysse_logistic(yl, dpar[0], dpar[1]);
967
0
}
968
969
static const double interp_rgrid_curv[4][65] = {
970
  {
971
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
972
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
973
      0.000000,    118.257702,  120.210658,  121.434853,  122.100487,
974
      122.377758,  122.436865,  72.290102,   96.974289,   101.652727,
975
      126.830141,  140.417377,  157.644879,  184.315291,  215.823873,
976
      262.300169,  335.919859,  420.624173,  519.185032,  619.854243,
977
      726.053595,  827.663369,  933.127475,  1037.988755, 1138.839609,
978
      1233.342933, 1333.508064, 1428.760126, 1533.396364, 1616.952052,
979
      1744.539319, 1803.413586, 1951.466618, 1994.227838, 2086.031680,
980
      2148.635443, 2239.068450, 2222.590637, 2338.859809, 2402.929011,
981
      2418.727875, 2435.342670, 2471.159469, 2523.187446, 2591.183827,
982
      2674.905840, 2774.110714, 2888.555675, 3017.997952, 3162.194773,
983
      3320.903365, 3493.880956, 3680.884773, 3881.672045, 4096.000000,
984
  },
985
  {
986
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
987
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
988
      0.000000,    13.087244,   15.919735,   25.930313,   24.412411,
989
      28.567417,   29.924194,   30.857010,   32.742979,   36.382570,
990
      39.210386,   42.265690,   47.378572,   57.014850,   82.740067,
991
      137.346562,  219.968084,  316.781856,  415.643773,  516.706538,
992
      614.914364,  714.303763,  815.512135,  911.210485,  1008.501528,
993
      1109.787854, 1213.772279, 1322.922561, 1414.752579, 1510.505641,
994
      1615.741888, 1697.989032, 1780.123933, 1847.453790, 1913.742309,
995
      1960.828122, 2047.500168, 2085.454095, 2129.230668, 2158.171824,
996
      2182.231724, 2217.684864, 2269.589211, 2337.264824, 2420.618694,
997
      2519.557814, 2633.989178, 2763.819779, 2908.956609, 3069.306660,
998
      3244.776927, 3435.274401, 3640.706076, 3860.978945, 4096.000000,
999
  },
1000
  {
1001
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
1002
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
1003
      0.000000,    4.656893,    5.123633,    5.594132,    6.162376,
1004
      6.918433,    7.768444,    8.739415,    10.105862,   11.477328,
1005
      13.236604,   15.421030,   19.093623,   25.801871,   46.724612,
1006
      98.841054,   181.113466,  272.586364,  359.499769,  445.546343,
1007
      525.944439,  605.188743,  681.793483,  756.668359,  838.486885,
1008
      926.950356,  1015.482542, 1113.353926, 1204.897193, 1288.871992,
1009
      1373.464145, 1455.746628, 1527.796460, 1588.475066, 1658.144771,
1010
      1710.302500, 1807.563351, 1863.197608, 1927.281616, 1964.450872,
1011
      2022.719898, 2100.041145, 2185.205712, 2280.993936, 2387.616216,
1012
      2505.282950, 2634.204540, 2774.591385, 2926.653884, 3090.602436,
1013
      3266.647443, 3454.999303, 3655.868416, 3869.465182, 4096.000000,
1014
  },
1015
  {
1016
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
1017
      0.000000,    0.000000,    0.000000,    0.000000,    0.000000,
1018
      0.000000,    0.337370,    0.391916,    0.468839,    0.566334,
1019
      0.762564,    1.069225,    1.384361,    1.787581,    2.293948,
1020
      3.251909,    4.412991,    8.050068,    11.606073,   27.668092,
1021
      65.227758,   128.463938,  202.097653,  262.715851,  312.464873,
1022
      355.601398,  400.609054,  447.201352,  495.761568,  552.871938,
1023
      619.067625,  691.984883,  773.753288,  860.628503,  946.262808,
1024
      1019.805896, 1106.061360, 1178.422145, 1244.852258, 1302.173987,
1025
      1399.650266, 1548.092912, 1545.928652, 1670.817500, 1694.523823,
1026
      1779.195362, 1882.155494, 1990.662097, 2108.325181, 2235.456119,
1027
      2372.366287, 2519.367059, 2676.769812, 2844.885918, 3024.026754,
1028
      3214.503695, 3416.628115, 3630.711389, 3857.064892, 4096.000000,
1029
  },
1030
};
1031
1032
static const double interp_dgrid_curv[3][65] = {
1033
  {
1034
      16.000000, 15.962891, 15.925174, 15.886888, 15.848074, 15.808770,
1035
      15.769015, 15.728850, 15.688313, 15.647445, 15.606284, 15.564870,
1036
      15.525918, 15.483820, 15.373330, 15.126844, 14.637442, 14.184387,
1037
      13.560070, 12.880717, 12.165995, 11.378144, 10.438769, 9.130790,
1038
      7.487633,  5.688649,  4.267515,  3.196300,  2.434201,  1.834064,
1039
      1.369920,  1.035921,  0.775279,  0.574895,  0.427232,  0.314123,
1040
      0.233236,  0.171440,  0.128188,  0.092762,  0.067569,  0.049324,
1041
      0.036330,  0.027008,  0.019853,  0.015539,  0.011093,  0.008733,
1042
      0.007624,  0.008105,  0.005427,  0.004065,  0.003427,  0.002848,
1043
      0.002328,  0.001865,  0.001457,  0.001103,  0.000801,  0.000550,
1044
      0.000348,  0.000193,  0.000085,  0.000021,  0.000000,
1045
  },
1046
  {
1047
      16.000000, 15.996116, 15.984769, 15.966413, 15.941505, 15.910501,
1048
      15.873856, 15.832026, 15.785466, 15.734633, 15.679981, 15.621967,
1049
      15.560961, 15.460157, 15.288367, 15.052462, 14.466922, 13.921212,
1050
      13.073692, 12.222005, 11.237799, 9.985848,  8.898823,  7.423519,
1051
      5.995325,  4.773152,  3.744032,  2.938217,  2.294526,  1.762412,
1052
      1.327145,  1.020728,  0.765535,  0.570548,  0.425833,  0.313825,
1053
      0.232959,  0.171324,  0.128174,  0.092750,  0.067558,  0.049319,
1054
      0.036330,  0.027008,  0.019853,  0.015539,  0.011093,  0.008733,
1055
      0.007624,  0.008105,  0.005427,  0.004065,  0.003427,  0.002848,
1056
      0.002328,  0.001865,  0.001457,  0.001103,  0.000801,  0.000550,
1057
      0.000348,  0.000193,  0.000085,  0.000021,  -0.000000,
1058
  },
1059
};
1060
1061
void av1_model_rd_curvfit(BLOCK_SIZE bsize, double sse_norm, double xqr,
1062
0
                          double *rate_f, double *distbysse_f) {
1063
0
  const double x_start = -15.5;
1064
0
  const double x_end = 16.5;
1065
0
  const double x_step = 0.5;
1066
0
  const double epsilon = 1e-6;
1067
0
  const int rcat = bsize_curvfit_model_cat_lookup[bsize];
1068
0
  const int dcat = sse_norm_curvfit_model_cat_lookup(sse_norm);
1069
0
  (void)x_end;
1070
1071
0
  xqr = AOMMAX(xqr, x_start + x_step + epsilon);
1072
0
  xqr = AOMMIN(xqr, x_end - x_step - epsilon);
1073
0
  const double x = (xqr - x_start) / x_step;
1074
0
  const int xi = (int)floor(x);
1075
0
  const double xo = x - xi;
1076
1077
0
  assert(xi > 0);
1078
1079
0
  const double *prate = &interp_rgrid_curv[rcat][(xi - 1)];
1080
0
  *rate_f = interp_cubic(prate, xo);
1081
0
  const double *pdist = &interp_dgrid_curv[dcat][(xi - 1)];
1082
0
  *distbysse_f = interp_cubic(pdist, xo);
1083
0
}
1084
1085
static void get_entropy_contexts_plane(BLOCK_SIZE plane_bsize,
1086
                                       const struct macroblockd_plane *pd,
1087
                                       ENTROPY_CONTEXT t_above[MAX_MIB_SIZE],
1088
1.35M
                                       ENTROPY_CONTEXT t_left[MAX_MIB_SIZE]) {
1089
1.35M
  const int num_4x4_w = mi_size_wide[plane_bsize];
1090
1.35M
  const int num_4x4_h = mi_size_high[plane_bsize];
1091
1.35M
  const ENTROPY_CONTEXT *const above = pd->above_entropy_context;
1092
1.35M
  const ENTROPY_CONTEXT *const left = pd->left_entropy_context;
1093
1094
1.35M
  memcpy(t_above, above, sizeof(ENTROPY_CONTEXT) * num_4x4_w);
1095
1.35M
  memcpy(t_left, left, sizeof(ENTROPY_CONTEXT) * num_4x4_h);
1096
1.35M
}
1097
1098
void av1_get_entropy_contexts(BLOCK_SIZE plane_bsize,
1099
                              const struct macroblockd_plane *pd,
1100
                              ENTROPY_CONTEXT t_above[MAX_MIB_SIZE],
1101
1.35M
                              ENTROPY_CONTEXT t_left[MAX_MIB_SIZE]) {
1102
1.35M
  assert(plane_bsize < BLOCK_SIZES_ALL);
1103
1.35M
  get_entropy_contexts_plane(plane_bsize, pd, t_above, t_left);
1104
1.35M
}
1105
1106
void av1_mv_pred(const AV1_COMP *cpi, MACROBLOCK *x, uint8_t *ref_y_buffer,
1107
0
                 int ref_y_stride, int ref_frame, BLOCK_SIZE block_size) {
1108
0
  const MV_REFERENCE_FRAME ref_frames[2] = { ref_frame, NONE_FRAME };
1109
0
  const int_mv ref_mv =
1110
0
      av1_get_ref_mv_from_stack(0, ref_frames, 0, &x->mbmi_ext);
1111
0
  const int_mv ref_mv1 =
1112
0
      av1_get_ref_mv_from_stack(0, ref_frames, 1, &x->mbmi_ext);
1113
0
  MV pred_mv[MAX_MV_REF_CANDIDATES + 1];
1114
0
  int num_mv_refs = 0;
1115
0
  pred_mv[num_mv_refs++] = ref_mv.as_mv;
1116
0
  if (ref_mv.as_int != ref_mv1.as_int) {
1117
0
    pred_mv[num_mv_refs++] = ref_mv1.as_mv;
1118
0
  }
1119
1120
0
  assert(num_mv_refs <= (int)(sizeof(pred_mv) / sizeof(pred_mv[0])));
1121
1122
0
  const uint8_t *const src_y_ptr = x->plane[0].src.buf;
1123
0
  int zero_seen = 0;
1124
0
  int best_sad = INT_MAX;
1125
0
  int max_mv = 0;
1126
  // Get the sad for each candidate reference mv.
1127
0
  for (int i = 0; i < num_mv_refs; ++i) {
1128
0
    const MV *this_mv = &pred_mv[i];
1129
0
    const int fp_row = (this_mv->row + 3 + (this_mv->row >= 0)) >> 3;
1130
0
    const int fp_col = (this_mv->col + 3 + (this_mv->col >= 0)) >> 3;
1131
0
    max_mv = AOMMAX(max_mv, AOMMAX(abs(this_mv->row), abs(this_mv->col)) >> 3);
1132
1133
0
    if (fp_row == 0 && fp_col == 0 && zero_seen) continue;
1134
0
    zero_seen |= (fp_row == 0 && fp_col == 0);
1135
1136
0
    const uint8_t *const ref_y_ptr =
1137
0
        &ref_y_buffer[ref_y_stride * fp_row + fp_col];
1138
    // Find sad for current vector.
1139
0
    const int this_sad = cpi->ppi->fn_ptr[block_size].sdf(
1140
0
        src_y_ptr, x->plane[0].src.stride, ref_y_ptr, ref_y_stride);
1141
    // Note if it is the best so far.
1142
0
    if (this_sad < best_sad) {
1143
0
      best_sad = this_sad;
1144
0
    }
1145
0
    if (i == 0)
1146
0
      x->pred_mv0_sad[ref_frame] = this_sad;
1147
0
    else if (i == 1)
1148
0
      x->pred_mv1_sad[ref_frame] = this_sad;
1149
0
  }
1150
1151
  // Note the index of the mv that worked best in the reference list.
1152
0
  x->max_mv_context[ref_frame] = max_mv;
1153
0
  x->pred_mv_sad[ref_frame] = best_sad;
1154
0
}
1155
1156
void av1_setup_pred_block(const MACROBLOCKD *xd,
1157
                          struct buf_2d dst[MAX_MB_PLANE],
1158
                          const YV12_BUFFER_CONFIG *src,
1159
                          const struct scale_factors *scale,
1160
                          const struct scale_factors *scale_uv,
1161
0
                          const int num_planes) {
1162
0
  dst[0].buf = src->y_buffer;
1163
0
  dst[0].stride = src->y_stride;
1164
0
  dst[1].buf = src->u_buffer;
1165
0
  dst[2].buf = src->v_buffer;
1166
0
  dst[1].stride = dst[2].stride = src->uv_stride;
1167
1168
0
  const int mi_row = xd->mi_row;
1169
0
  const int mi_col = xd->mi_col;
1170
0
  for (int i = 0; i < num_planes; ++i) {
1171
0
    setup_pred_plane(dst + i, xd->mi[0]->bsize, dst[i].buf,
1172
0
                     i ? src->uv_crop_width : src->y_crop_width,
1173
0
                     i ? src->uv_crop_height : src->y_crop_height,
1174
0
                     dst[i].stride, mi_row, mi_col, i ? scale_uv : scale,
1175
0
                     xd->plane[i].subsampling_x, xd->plane[i].subsampling_y);
1176
0
  }
1177
0
}
1178
1179
YV12_BUFFER_CONFIG *av1_get_scaled_ref_frame(const AV1_COMP *cpi,
1180
0
                                             int ref_frame) {
1181
0
  assert(ref_frame >= LAST_FRAME && ref_frame <= ALTREF_FRAME);
1182
0
  RefCntBuffer *const scaled_buf = cpi->scaled_ref_buf[ref_frame - 1];
1183
0
  const RefCntBuffer *const ref_buf =
1184
0
      get_ref_frame_buf(&cpi->common, ref_frame);
1185
0
  return (scaled_buf != ref_buf && scaled_buf != NULL) ? &scaled_buf->buf
1186
0
                                                       : NULL;
1187
0
}
1188
1189
int av1_get_switchable_rate(const MACROBLOCK *x, const MACROBLOCKD *xd,
1190
0
                            InterpFilter interp_filter, int dual_filter) {
1191
0
  if (interp_filter == SWITCHABLE) {
1192
0
    const MB_MODE_INFO *const mbmi = xd->mi[0];
1193
0
    int inter_filter_cost = 0;
1194
0
    for (int dir = 0; dir < 2; ++dir) {
1195
0
      if (dir && !dual_filter) break;
1196
0
      const int ctx = av1_get_pred_context_switchable_interp(xd, dir);
1197
0
      const InterpFilter filter =
1198
0
          av1_extract_interp_filter(mbmi->interp_filters, dir);
1199
0
      inter_filter_cost += x->mode_costs.switchable_interp_costs[ctx][filter];
1200
0
    }
1201
0
    return SWITCHABLE_INTERP_RATE_FACTOR * inter_filter_cost;
1202
0
  } else {
1203
0
    return 0;
1204
0
  }
1205
0
}
1206
1207
786
void av1_set_rd_speed_thresholds(AV1_COMP *cpi) {
1208
786
  RD_OPT *const rd = &cpi->rd;
1209
1210
  // Set baseline threshold values.
1211
786
  av1_zero(rd->thresh_mult);
1212
1213
786
  rd->thresh_mult[THR_NEARESTMV] = 300;
1214
786
  rd->thresh_mult[THR_NEARESTL2] = 300;
1215
786
  rd->thresh_mult[THR_NEARESTL3] = 300;
1216
786
  rd->thresh_mult[THR_NEARESTB] = 300;
1217
786
  rd->thresh_mult[THR_NEARESTA2] = 300;
1218
786
  rd->thresh_mult[THR_NEARESTA] = 300;
1219
786
  rd->thresh_mult[THR_NEARESTG] = 300;
1220
1221
786
  rd->thresh_mult[THR_NEWMV] = 1000;
1222
786
  rd->thresh_mult[THR_NEWL2] = 1000;
1223
786
  rd->thresh_mult[THR_NEWL3] = 1000;
1224
786
  rd->thresh_mult[THR_NEWB] = 1000;
1225
786
  rd->thresh_mult[THR_NEWA2] = 1100;
1226
786
  rd->thresh_mult[THR_NEWA] = 1000;
1227
786
  rd->thresh_mult[THR_NEWG] = 1000;
1228
1229
786
  rd->thresh_mult[THR_NEARMV] = 1000;
1230
786
  rd->thresh_mult[THR_NEARL2] = 1000;
1231
786
  rd->thresh_mult[THR_NEARL3] = 1000;
1232
786
  rd->thresh_mult[THR_NEARB] = 1000;
1233
786
  rd->thresh_mult[THR_NEARA2] = 1000;
1234
786
  rd->thresh_mult[THR_NEARA] = 1000;
1235
786
  rd->thresh_mult[THR_NEARG] = 1000;
1236
1237
786
  rd->thresh_mult[THR_GLOBALMV] = 2200;
1238
786
  rd->thresh_mult[THR_GLOBALL2] = 2000;
1239
786
  rd->thresh_mult[THR_GLOBALL3] = 2000;
1240
786
  rd->thresh_mult[THR_GLOBALB] = 2400;
1241
786
  rd->thresh_mult[THR_GLOBALA2] = 2000;
1242
786
  rd->thresh_mult[THR_GLOBALG] = 2000;
1243
786
  rd->thresh_mult[THR_GLOBALA] = 2400;
1244
1245
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLA] = 1100;
1246
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2A] = 1000;
1247
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3A] = 800;
1248
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTGA] = 900;
1249
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLB] = 1000;
1250
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2B] = 1000;
1251
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3B] = 1000;
1252
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTGB] = 1000;
1253
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLA2] = 1000;
1254
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2A2] = 1000;
1255
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3A2] = 1000;
1256
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTGA2] = 1000;
1257
1258
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLL2] = 2000;
1259
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLL3] = 2000;
1260
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLG] = 2000;
1261
786
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTBA] = 2000;
1262
1263
786
  rd->thresh_mult[THR_COMP_NEAR_NEARLA] = 1200;
1264
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWLA] = 1500;
1265
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTLA] = 1500;
1266
786
  rd->thresh_mult[THR_COMP_NEAR_NEWLA] = 1530;
1267
786
  rd->thresh_mult[THR_COMP_NEW_NEARLA] = 1870;
1268
786
  rd->thresh_mult[THR_COMP_NEW_NEWLA] = 2400;
1269
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLA] = 2750;
1270
1271
786
  rd->thresh_mult[THR_COMP_NEAR_NEARL2A] = 1200;
1272
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWL2A] = 1500;
1273
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTL2A] = 1500;
1274
786
  rd->thresh_mult[THR_COMP_NEAR_NEWL2A] = 1870;
1275
786
  rd->thresh_mult[THR_COMP_NEW_NEARL2A] = 1700;
1276
786
  rd->thresh_mult[THR_COMP_NEW_NEWL2A] = 1800;
1277
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2A] = 2500;
1278
1279
786
  rd->thresh_mult[THR_COMP_NEAR_NEARL3A] = 1200;
1280
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWL3A] = 1500;
1281
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTL3A] = 1500;
1282
786
  rd->thresh_mult[THR_COMP_NEAR_NEWL3A] = 1700;
1283
786
  rd->thresh_mult[THR_COMP_NEW_NEARL3A] = 1700;
1284
786
  rd->thresh_mult[THR_COMP_NEW_NEWL3A] = 2000;
1285
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3A] = 3000;
1286
1287
786
  rd->thresh_mult[THR_COMP_NEAR_NEARGA] = 1320;
1288
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWGA] = 1500;
1289
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTGA] = 1500;
1290
786
  rd->thresh_mult[THR_COMP_NEAR_NEWGA] = 2040;
1291
786
  rd->thresh_mult[THR_COMP_NEW_NEARGA] = 1700;
1292
786
  rd->thresh_mult[THR_COMP_NEW_NEWGA] = 2000;
1293
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGA] = 2250;
1294
1295
786
  rd->thresh_mult[THR_COMP_NEAR_NEARLB] = 1200;
1296
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWLB] = 1500;
1297
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTLB] = 1500;
1298
786
  rd->thresh_mult[THR_COMP_NEAR_NEWLB] = 1360;
1299
786
  rd->thresh_mult[THR_COMP_NEW_NEARLB] = 1700;
1300
786
  rd->thresh_mult[THR_COMP_NEW_NEWLB] = 2400;
1301
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLB] = 2250;
1302
1303
786
  rd->thresh_mult[THR_COMP_NEAR_NEARL2B] = 1200;
1304
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWL2B] = 1500;
1305
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTL2B] = 1500;
1306
786
  rd->thresh_mult[THR_COMP_NEAR_NEWL2B] = 1700;
1307
786
  rd->thresh_mult[THR_COMP_NEW_NEARL2B] = 1700;
1308
786
  rd->thresh_mult[THR_COMP_NEW_NEWL2B] = 2000;
1309
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2B] = 2500;
1310
1311
786
  rd->thresh_mult[THR_COMP_NEAR_NEARL3B] = 1200;
1312
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWL3B] = 1500;
1313
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTL3B] = 1500;
1314
786
  rd->thresh_mult[THR_COMP_NEAR_NEWL3B] = 1870;
1315
786
  rd->thresh_mult[THR_COMP_NEW_NEARL3B] = 1700;
1316
786
  rd->thresh_mult[THR_COMP_NEW_NEWL3B] = 2000;
1317
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3B] = 2500;
1318
1319
786
  rd->thresh_mult[THR_COMP_NEAR_NEARGB] = 1200;
1320
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWGB] = 1500;
1321
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTGB] = 1500;
1322
786
  rd->thresh_mult[THR_COMP_NEAR_NEWGB] = 1700;
1323
786
  rd->thresh_mult[THR_COMP_NEW_NEARGB] = 1700;
1324
786
  rd->thresh_mult[THR_COMP_NEW_NEWGB] = 2000;
1325
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGB] = 2500;
1326
1327
786
  rd->thresh_mult[THR_COMP_NEAR_NEARLA2] = 1200;
1328
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWLA2] = 1800;
1329
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTLA2] = 1500;
1330
786
  rd->thresh_mult[THR_COMP_NEAR_NEWLA2] = 1700;
1331
786
  rd->thresh_mult[THR_COMP_NEW_NEARLA2] = 1700;
1332
786
  rd->thresh_mult[THR_COMP_NEW_NEWLA2] = 2000;
1333
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLA2] = 2500;
1334
1335
786
  rd->thresh_mult[THR_COMP_NEAR_NEARL2A2] = 1200;
1336
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWL2A2] = 1500;
1337
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTL2A2] = 1500;
1338
786
  rd->thresh_mult[THR_COMP_NEAR_NEWL2A2] = 1700;
1339
786
  rd->thresh_mult[THR_COMP_NEW_NEARL2A2] = 1700;
1340
786
  rd->thresh_mult[THR_COMP_NEW_NEWL2A2] = 2000;
1341
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2A2] = 2500;
1342
1343
786
  rd->thresh_mult[THR_COMP_NEAR_NEARL3A2] = 1440;
1344
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWL3A2] = 1500;
1345
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTL3A2] = 1500;
1346
786
  rd->thresh_mult[THR_COMP_NEAR_NEWL3A2] = 1700;
1347
786
  rd->thresh_mult[THR_COMP_NEW_NEARL3A2] = 1700;
1348
786
  rd->thresh_mult[THR_COMP_NEW_NEWL3A2] = 2000;
1349
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3A2] = 2500;
1350
1351
786
  rd->thresh_mult[THR_COMP_NEAR_NEARGA2] = 1200;
1352
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWGA2] = 1500;
1353
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTGA2] = 1500;
1354
786
  rd->thresh_mult[THR_COMP_NEAR_NEWGA2] = 1700;
1355
786
  rd->thresh_mult[THR_COMP_NEW_NEARGA2] = 1700;
1356
786
  rd->thresh_mult[THR_COMP_NEW_NEWGA2] = 2000;
1357
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGA2] = 2750;
1358
1359
786
  rd->thresh_mult[THR_COMP_NEAR_NEARLL2] = 1600;
1360
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWLL2] = 2000;
1361
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTLL2] = 2000;
1362
786
  rd->thresh_mult[THR_COMP_NEAR_NEWLL2] = 2640;
1363
786
  rd->thresh_mult[THR_COMP_NEW_NEARLL2] = 2200;
1364
786
  rd->thresh_mult[THR_COMP_NEW_NEWLL2] = 2400;
1365
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLL2] = 3200;
1366
1367
786
  rd->thresh_mult[THR_COMP_NEAR_NEARLL3] = 1600;
1368
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWLL3] = 2000;
1369
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTLL3] = 1800;
1370
786
  rd->thresh_mult[THR_COMP_NEAR_NEWLL3] = 2200;
1371
786
  rd->thresh_mult[THR_COMP_NEW_NEARLL3] = 2200;
1372
786
  rd->thresh_mult[THR_COMP_NEW_NEWLL3] = 2400;
1373
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLL3] = 3200;
1374
1375
786
  rd->thresh_mult[THR_COMP_NEAR_NEARLG] = 1760;
1376
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWLG] = 2400;
1377
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTLG] = 2000;
1378
786
  rd->thresh_mult[THR_COMP_NEAR_NEWLG] = 1760;
1379
786
  rd->thresh_mult[THR_COMP_NEW_NEARLG] = 2640;
1380
786
  rd->thresh_mult[THR_COMP_NEW_NEWLG] = 2400;
1381
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLG] = 3200;
1382
1383
786
  rd->thresh_mult[THR_COMP_NEAR_NEARBA] = 1600;
1384
786
  rd->thresh_mult[THR_COMP_NEAREST_NEWBA] = 2000;
1385
786
  rd->thresh_mult[THR_COMP_NEW_NEARESTBA] = 2000;
1386
786
  rd->thresh_mult[THR_COMP_NEAR_NEWBA] = 2200;
1387
786
  rd->thresh_mult[THR_COMP_NEW_NEARBA] = 1980;
1388
786
  rd->thresh_mult[THR_COMP_NEW_NEWBA] = 2640;
1389
786
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALBA] = 3200;
1390
1391
786
  rd->thresh_mult[THR_DC] = 1000;
1392
786
  rd->thresh_mult[THR_PAETH] = 1000;
1393
786
  rd->thresh_mult[THR_SMOOTH] = 2200;
1394
786
  rd->thresh_mult[THR_SMOOTH_V] = 2000;
1395
786
  rd->thresh_mult[THR_SMOOTH_H] = 2000;
1396
786
  rd->thresh_mult[THR_H_PRED] = 2000;
1397
786
  rd->thresh_mult[THR_V_PRED] = 1800;
1398
786
  rd->thresh_mult[THR_D135_PRED] = 2500;
1399
786
  rd->thresh_mult[THR_D203_PRED] = 2000;
1400
786
  rd->thresh_mult[THR_D157_PRED] = 2500;
1401
786
  rd->thresh_mult[THR_D67_PRED] = 2000;
1402
786
  rd->thresh_mult[THR_D113_PRED] = 2500;
1403
786
  rd->thresh_mult[THR_D45_PRED] = 2500;
1404
786
}
1405
1406
static INLINE void update_thr_fact(int (*factor_buf)[MAX_MODES],
1407
                                   THR_MODES best_mode_index,
1408
                                   THR_MODES mode_start, THR_MODES mode_end,
1409
                                   BLOCK_SIZE min_size, BLOCK_SIZE max_size,
1410
0
                                   int max_rd_thresh_factor) {
1411
0
  for (THR_MODES mode = mode_start; mode < mode_end; ++mode) {
1412
0
    for (BLOCK_SIZE bs = min_size; bs <= max_size; ++bs) {
1413
0
      int *const fact = &factor_buf[bs][mode];
1414
0
      if (mode == best_mode_index) {
1415
0
        *fact -= (*fact >> RD_THRESH_LOG_DEC_FACTOR);
1416
0
      } else {
1417
0
        *fact = AOMMIN(*fact + RD_THRESH_INC, max_rd_thresh_factor);
1418
0
      }
1419
0
    }
1420
0
  }
1421
0
}
1422
1423
void av1_update_rd_thresh_fact(
1424
    const AV1_COMMON *const cm, int (*factor_buf)[MAX_MODES],
1425
    int use_adaptive_rd_thresh, BLOCK_SIZE bsize, THR_MODES best_mode_index,
1426
    THR_MODES inter_mode_start, THR_MODES inter_mode_end,
1427
0
    THR_MODES intra_mode_start, THR_MODES intra_mode_end) {
1428
0
  assert(use_adaptive_rd_thresh > 0);
1429
0
  const int max_rd_thresh_factor = use_adaptive_rd_thresh * RD_THRESH_MAX_FACT;
1430
1431
0
  const int bsize_is_1_to_4 = bsize > cm->seq_params->sb_size;
1432
0
  BLOCK_SIZE min_size, max_size;
1433
0
  if (bsize_is_1_to_4) {
1434
    // This part handles block sizes with 1:4 and 4:1 aspect ratios
1435
    // TODO(any): Experiment with threshold update for parent/child blocks
1436
0
    min_size = bsize;
1437
0
    max_size = bsize;
1438
0
  } else {
1439
0
    min_size = AOMMAX(bsize - 2, BLOCK_4X4);
1440
0
    max_size = AOMMIN(bsize + 2, (int)cm->seq_params->sb_size);
1441
0
  }
1442
1443
0
  update_thr_fact(factor_buf, best_mode_index, inter_mode_start, inter_mode_end,
1444
0
                  min_size, max_size, max_rd_thresh_factor);
1445
0
  update_thr_fact(factor_buf, best_mode_index, intra_mode_start, intra_mode_end,
1446
0
                  min_size, max_size, max_rd_thresh_factor);
1447
0
}
1448
1449
int av1_get_intra_cost_penalty(int qindex, int qdelta,
1450
0
                               aom_bit_depth_t bit_depth) {
1451
0
  const int q = av1_dc_quant_QTX(qindex, qdelta, bit_depth);
1452
0
  switch (bit_depth) {
1453
0
    case AOM_BITS_8: return 20 * q;
1454
0
    case AOM_BITS_10: return 5 * q;
1455
0
    case AOM_BITS_12: return ROUND_POWER_OF_TWO(5 * q, 2);
1456
0
    default:
1457
      assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12");
1458
0
      return -1;
1459
0
  }
1460
0
}