Coverage Report

Created: 2026-09-13 06:32

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
9.77k
                         FRAME_CONTEXT *fc) {
88
9.77k
  int i, j;
89
90
205k
  for (i = 0; i < PARTITION_CONTEXTS; ++i)
91
195k
    av1_cost_tokens_from_cdf(mode_costs->partition_cost[i],
92
195k
                             fc->partition_cdf[i], NULL);
93
94
9.77k
  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
39.1k
  for (i = 0; i < SKIP_CONTEXTS; ++i) {
102
29.4k
    av1_cost_tokens_from_cdf(mode_costs->skip_txfm_cost[i],
103
29.4k
                             fc->skip_txfm_cdfs[i], NULL);
104
29.4k
  }
105
106
58.8k
  for (i = 0; i < KF_MODE_CONTEXTS; ++i)
107
294k
    for (j = 0; j < KF_MODE_CONTEXTS; ++j)
108
245k
      av1_cost_tokens_from_cdf(mode_costs->y_mode_costs[i][j],
109
245k
                               fc->kf_y_cdf[i][j], NULL);
110
111
49.0k
  for (i = 0; i < BLOCK_SIZE_GROUPS; ++i)
112
39.2k
    av1_cost_tokens_from_cdf(mode_costs->mbmode_cost[i], fc->y_mode_cdf[i],
113
39.2k
                             NULL);
114
29.3k
  for (i = 0; i < CFL_ALLOWED_TYPES; ++i)
115
274k
    for (j = 0; j < INTRA_MODES; ++j)
116
254k
      av1_cost_tokens_from_cdf(mode_costs->intra_uv_mode_cost[i][j],
117
254k
                               fc->uv_mode_cdf[i][j], NULL);
118
119
9.77k
  av1_cost_tokens_from_cdf(mode_costs->filter_intra_mode_cost,
120
9.77k
                           fc->filter_intra_mode_cdf, NULL);
121
224k
  for (i = 0; i < BLOCK_SIZES_ALL; ++i) {
122
215k
    if (av1_filter_intra_allowed_bsize(cm, i))
123
137k
      av1_cost_tokens_from_cdf(mode_costs->filter_intra_cost[i],
124
137k
                               fc->filter_intra_cdfs[i], NULL);
125
215k
  }
126
127
166k
  for (i = 0; i < SWITCHABLE_FILTER_CONTEXTS; ++i)
128
156k
    av1_cost_tokens_from_cdf(mode_costs->switchable_interp_costs[i],
129
156k
                             fc->switchable_interp_cdf[i], NULL);
130
131
78.4k
  for (i = 0; i < PALATTE_BSIZE_CTXS; ++i) {
132
68.6k
    av1_cost_tokens_from_cdf(mode_costs->palette_y_size_cost[i],
133
68.6k
                             fc->palette_y_size_cdf[i], NULL);
134
68.6k
    av1_cost_tokens_from_cdf(mode_costs->palette_uv_size_cost[i],
135
68.6k
                             fc->palette_uv_size_cdf[i], NULL);
136
274k
    for (j = 0; j < PALETTE_Y_MODE_CONTEXTS; ++j) {
137
205k
      av1_cost_tokens_from_cdf(mode_costs->palette_y_mode_cost[i][j],
138
205k
                               fc->palette_y_mode_cdf[i][j], NULL);
139
205k
    }
140
68.6k
  }
141
142
29.4k
  for (i = 0; i < PALETTE_UV_MODE_CONTEXTS; ++i) {
143
19.6k
    av1_cost_tokens_from_cdf(mode_costs->palette_uv_mode_cost[i],
144
19.6k
                             fc->palette_uv_mode_cdf[i], NULL);
145
19.6k
  }
146
147
78.4k
  for (i = 0; i < PALETTE_SIZES; ++i) {
148
411k
    for (j = 0; j < PALETTE_COLOR_INDEX_CONTEXTS; ++j) {
149
342k
      av1_cost_tokens_from_cdf(mode_costs->palette_y_color_cost[i][j],
150
342k
                               fc->palette_y_color_index_cdf[i][j], NULL);
151
342k
      av1_cost_tokens_from_cdf(mode_costs->palette_uv_color_cost[i][j],
152
342k
                               fc->palette_uv_color_index_cdf[i][j], NULL);
153
342k
    }
154
68.6k
  }
155
156
9.77k
  int sign_cost[CFL_JOINT_SIGNS];
157
9.77k
  av1_cost_tokens_from_cdf(sign_cost, fc->cfl_sign_cdf, NULL);
158
88.2k
  for (int joint_sign = 0; joint_sign < CFL_JOINT_SIGNS; joint_sign++) {
159
78.4k
    int *cost_u = mode_costs->cfl_cost[joint_sign][CFL_PRED_U];
160
78.4k
    int *cost_v = mode_costs->cfl_cost[joint_sign][CFL_PRED_V];
161
78.4k
    if (CFL_SIGN_U(joint_sign) == CFL_SIGN_ZERO) {
162
19.6k
      memset(cost_u, 0, CFL_ALPHABET_SIZE * sizeof(*cost_u));
163
58.8k
    } else {
164
58.8k
      const aom_cdf_prob *cdf_u = fc->cfl_alpha_cdf[CFL_CONTEXT_U(joint_sign)];
165
58.8k
      av1_cost_tokens_from_cdf(cost_u, cdf_u, NULL);
166
58.8k
    }
167
78.4k
    if (CFL_SIGN_V(joint_sign) == CFL_SIGN_ZERO) {
168
19.6k
      memset(cost_v, 0, CFL_ALPHABET_SIZE * sizeof(*cost_v));
169
58.8k
    } else {
170
58.8k
      const aom_cdf_prob *cdf_v = fc->cfl_alpha_cdf[CFL_CONTEXT_V(joint_sign)];
171
58.8k
      av1_cost_tokens_from_cdf(cost_v, cdf_v, NULL);
172
58.8k
    }
173
1.33M
    for (int u = 0; u < CFL_ALPHABET_SIZE; u++)
174
1.25M
      cost_u[u] += sign_cost[joint_sign];
175
78.4k
  }
176
177
49.0k
  for (i = 0; i < MAX_TX_CATS; ++i)
178
156k
    for (j = 0; j < TX_SIZE_CONTEXTS; ++j)
179
117k
      av1_cost_tokens_from_cdf(mode_costs->tx_size_cost[i][j],
180
117k
                               fc->tx_size_cdf[i][j], NULL);
181
182
215k
  for (i = 0; i < TXFM_PARTITION_CONTEXTS; ++i) {
183
205k
    av1_cost_tokens_from_cdf(mode_costs->txfm_partition_cost[i],
184
205k
                             fc->txfm_partition_cdf[i], NULL);
185
205k
  }
186
187
49.0k
  for (i = TX_4X4; i < EXT_TX_SIZES; ++i) {
188
39.2k
    int s;
189
156k
    for (s = 1; s < EXT_TX_SETS_INTER; ++s) {
190
117k
      if (use_inter_ext_tx_for_txsize[s][i]) {
191
58.8k
        av1_cost_tokens_from_cdf(
192
58.8k
            mode_costs->inter_tx_type_costs[s][i], fc->inter_ext_tx_cdf[s][i],
193
58.8k
            av1_ext_tx_inv[av1_ext_tx_set_idx_to_type[1][s]]);
194
58.8k
      }
195
117k
    }
196
117k
    for (s = 1; s < EXT_TX_SETS_INTRA; ++s) {
197
78.4k
      if (use_intra_ext_tx_for_txsize[s][i]) {
198
411k
        for (j = 0; j < INTRA_MODES; ++j) {
199
381k
          av1_cost_tokens_from_cdf(
200
381k
              mode_costs->intra_tx_type_costs[s][i][j],
201
381k
              fc->intra_ext_tx_cdf[s][i][j],
202
381k
              av1_ext_tx_inv[av1_ext_tx_set_idx_to_type[0][s]]);
203
381k
        }
204
29.4k
      }
205
78.4k
    }
206
39.2k
  }
207
88.2k
  for (i = 0; i < DIRECTIONAL_MODES; ++i) {
208
78.4k
    av1_cost_tokens_from_cdf(mode_costs->angle_delta_cost[i],
209
78.4k
                             fc->angle_delta_cdf[i], NULL);
210
78.4k
  }
211
9.77k
  av1_cost_tokens_from_cdf(mode_costs->intrabc_cost, fc->intrabc_cdf, NULL);
212
213
9.77k
  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
9.77k
}
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
1.73k
static double def_kf_rd_multiplier(int qindex) {
374
1.73k
  return 3.3 + (0.0035 * (double)qindex);
375
1.73k
}
376
377
int av1_compute_rd_mult_based_on_qindex(aom_bit_depth_t bit_depth,
378
                                        FRAME_UPDATE_TYPE update_type,
379
1.73k
                                        int qindex) {
380
1.73k
  const int q = av1_dc_quant_QTX(qindex, 0, bit_depth);
381
1.73k
  int rdmult = q * q;
382
1.73k
  if (update_type == KF_UPDATE) {
383
1.73k
    double def_rd_q_mult = def_kf_rd_multiplier(qindex);
384
1.73k
    rdmult = (int)((double)rdmult * def_rd_q_mult);
385
1.73k
  } 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
1.73k
  switch (bit_depth) {
394
1.73k
    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
1.73k
  }
401
1.73k
  return rdmult > 0 ? rdmult : 1;
402
1.73k
}
403
404
1.73k
int av1_compute_rd_mult(const AV1_COMP *cpi, int qindex) {
405
1.73k
  const aom_bit_depth_t bit_depth = cpi->common.seq_params->bit_depth;
406
1.73k
  const FRAME_UPDATE_TYPE update_type =
407
1.73k
      cpi->ppi->gf_group.update_type[cpi->gf_frame_index];
408
1.73k
  int64_t rdmult =
409
1.73k
      av1_compute_rd_mult_based_on_qindex(bit_depth, update_type, qindex);
410
1.73k
  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
1.73k
  return (int)rdmult;
424
1.73k
}
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
6.92k
static int compute_rd_thresh_factor(int qindex, aom_bit_depth_t bit_depth) {
477
6.92k
  double q;
478
6.92k
  switch (bit_depth) {
479
6.92k
    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
6.92k
  }
490
  // TODO(debargha): Adjust the function below.
491
6.92k
  return AOMMAX((int)(pow(q, RD_THRESH_POW) * 5.12), 8);
492
6.92k
}
493
494
1.73k
void av1_set_sad_per_bit(const AV1_COMP *cpi, int *sadperbit, int qindex) {
495
1.73k
  switch (cpi->common.seq_params->bit_depth) {
496
1.73k
    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
1.73k
  }
502
1.73k
}
503
504
865
static void set_block_thresholds(const AV1_COMMON *cm, RD_OPT *rd) {
505
865
  int i, bsize, segment_id;
506
507
7.78k
  for (segment_id = 0; segment_id < MAX_SEGMENTS; ++segment_id) {
508
6.92k
    const int qindex = clamp(
509
6.92k
        av1_get_qindex(&cm->seg, segment_id, cm->quant_params.base_qindex) +
510
6.92k
            cm->quant_params.y_dc_delta_q,
511
6.92k
        0, MAXQ);
512
6.92k
    const int q = compute_rd_thresh_factor(qindex, cm->seq_params->bit_depth);
513
514
159k
    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
152k
      const int t = q * rd_thresh_block_size_factor[bsize];
518
152k
      const int thresh_max = INT_MAX / t;
519
520
25.8M
      for (i = 0; i < MAX_MODES; ++i)
521
25.7M
        rd->threshes[segment_id][bsize][i] = rd->thresh_mult[i] < thresh_max
522
25.7M
                                                 ? rd->thresh_mult[i] * t / 4
523
25.7M
                                                 : INT_MAX;
524
152k
    }
525
6.92k
  }
526
865
}
527
528
void av1_fill_coeff_costs(CoeffCosts *coeff_costs, FRAME_CONTEXT *fc,
529
9.81k
                          const int num_planes) {
530
9.81k
  const int nplanes = AOMMIN(num_planes, PLANE_TYPES);
531
78.4k
  for (int eob_multi_size = 0; eob_multi_size < 7; ++eob_multi_size) {
532
205k
    for (int plane = 0; plane < nplanes; ++plane) {
533
137k
      LV_MAP_EOB_COST *pcost = &coeff_costs->eob_costs[eob_multi_size][plane];
534
535
411k
      for (int ctx = 0; ctx < 2; ++ctx) {
536
274k
        aom_cdf_prob *pcdf;
537
274k
        switch (eob_multi_size) {
538
39.1k
          case 0: pcdf = fc->eob_flag_cdf16[plane][ctx]; break;
539
39.2k
          case 1: pcdf = fc->eob_flag_cdf32[plane][ctx]; break;
540
39.2k
          case 2: pcdf = fc->eob_flag_cdf64[plane][ctx]; break;
541
39.2k
          case 3: pcdf = fc->eob_flag_cdf128[plane][ctx]; break;
542
39.2k
          case 4: pcdf = fc->eob_flag_cdf256[plane][ctx]; break;
543
39.2k
          case 5: pcdf = fc->eob_flag_cdf512[plane][ctx]; break;
544
39.2k
          case 6:
545
39.2k
          default: pcdf = fc->eob_flag_cdf1024[plane][ctx]; break;
546
274k
        }
547
274k
        av1_cost_tokens_from_cdf(pcost->eob_cost[ctx], pcdf, NULL);
548
274k
      }
549
137k
    }
550
68.6k
  }
551
58.9k
  for (int tx_size = 0; tx_size < TX_SIZES; ++tx_size) {
552
147k
    for (int plane = 0; plane < nplanes; ++plane) {
553
98.0k
      LV_MAP_COEFF_COST *pcost = &coeff_costs->coeff_costs[tx_size][plane];
554
555
1.36M
      for (int ctx = 0; ctx < TXB_SKIP_CONTEXTS; ++ctx)
556
1.26M
        av1_cost_tokens_from_cdf(pcost->txb_skip_cost[ctx],
557
1.26M
                                 fc->txb_skip_cdf[tx_size][ctx], NULL);
558
559
490k
      for (int ctx = 0; ctx < SIG_COEF_CONTEXTS_EOB; ++ctx)
560
391k
        av1_cost_tokens_from_cdf(pcost->base_eob_cost[ctx],
561
391k
                                 fc->coeff_base_eob_cdf[tx_size][plane][ctx],
562
391k
                                 NULL);
563
4.18M
      for (int ctx = 0; ctx < SIG_COEF_CONTEXTS; ++ctx)
564
4.08M
        av1_cost_tokens_from_cdf(pcost->base_cost[ctx],
565
4.08M
                                 fc->coeff_base_cdf[tx_size][plane][ctx], NULL);
566
567
4.19M
      for (int ctx = 0; ctx < SIG_COEF_CONTEXTS; ++ctx) {
568
4.10M
        pcost->base_cost[ctx][4] = 0;
569
4.10M
        pcost->base_cost[ctx][5] = pcost->base_cost[ctx][1] +
570
4.10M
                                   av1_cost_literal(1) -
571
4.10M
                                   pcost->base_cost[ctx][0];
572
4.10M
        pcost->base_cost[ctx][6] =
573
4.10M
            pcost->base_cost[ctx][2] - pcost->base_cost[ctx][1];
574
4.10M
        pcost->base_cost[ctx][7] =
575
4.10M
            pcost->base_cost[ctx][3] - pcost->base_cost[ctx][2];
576
4.10M
      }
577
578
979k
      for (int ctx = 0; ctx < EOB_COEF_CONTEXTS; ++ctx)
579
881k
        av1_cost_tokens_from_cdf(pcost->eob_extra_cost[ctx],
580
881k
                                 fc->eob_extra_cdf[tx_size][plane][ctx], NULL);
581
582
392k
      for (int ctx = 0; ctx < DC_SIGN_CONTEXTS; ++ctx)
583
294k
        av1_cost_tokens_from_cdf(pcost->dc_sign_cost[ctx],
584
294k
                                 fc->dc_sign_cdf[plane][ctx], NULL);
585
586
2.15M
      for (int ctx = 0; ctx < LEVEL_CONTEXTS; ++ctx) {
587
2.05M
        int br_rate[BR_CDF_SIZE];
588
2.05M
        int prev_cost = 0;
589
2.05M
        int i, j;
590
2.05M
        av1_cost_tokens_from_cdf(
591
2.05M
            br_rate, fc->coeff_br_cdf[AOMMIN(tx_size, TX_32X32)][plane][ctx],
592
2.05M
            NULL);
593
        // printf("br_rate: ");
594
        // for(j = 0; j < BR_CDF_SIZE; j++)
595
        //  printf("%4d ", br_rate[j]);
596
        // printf("\n");
597
10.1M
        for (i = 0; i < COEFF_BASE_RANGE; i += BR_CDF_SIZE - 1) {
598
32.0M
          for (j = 0; j < BR_CDF_SIZE - 1; j++) {
599
23.9M
            pcost->lps_cost[ctx][i + j] = prev_cost + br_rate[j];
600
23.9M
          }
601
8.05M
          prev_cost += br_rate[j];
602
8.05M
        }
603
2.05M
        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
2.05M
      }
609
2.14M
      for (int ctx = 0; ctx < LEVEL_CONTEXTS; ++ctx) {
610
2.04M
        pcost->lps_cost[ctx][0 + COEFF_BASE_RANGE + 1] =
611
2.04M
            pcost->lps_cost[ctx][0];
612
26.2M
        for (int i = 1; i <= COEFF_BASE_RANGE; ++i) {
613
24.2M
          pcost->lps_cost[ctx][i + COEFF_BASE_RANGE + 1] =
614
24.2M
              pcost->lps_cost[ctx][i] - pcost->lps_cost[ctx][i - 1];
615
24.2M
        }
616
2.04M
      }
617
98.0k
    }
618
49.0k
  }
619
9.84k
}
620
621
void av1_fill_mv_costs(const nmv_context *nmvc, int integer_mv, int usehp,
622
865
                       MvCosts *mv_costs) {
623
  // Avoid accessing 'mv_costs' when it is not allocated.
624
865
  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
865
    const CostUpdateFreq cost_upd_freq, SPEED_FEATURES *const sf) {
659
865
  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
865
  static const INTERNAL_COST_UPDATE_TYPE
664
865
      map_cost_upd_to_internal_cost_upd[NUM_COST_UPDATE_TYPES] = {
665
865
        INTERNAL_COST_UPD_SB, INTERNAL_COST_UPD_SBROW, INTERNAL_COST_UPD_TILE,
666
865
        INTERNAL_COST_UPD_OFF
667
865
      };
668
669
865
  inter_sf->mv_cost_upd_level =
670
865
      AOMMIN(inter_sf->mv_cost_upd_level,
671
865
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.mv]);
672
865
  inter_sf->coeff_cost_upd_level =
673
865
      AOMMIN(inter_sf->coeff_cost_upd_level,
674
865
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.coeff]);
675
865
  inter_sf->mode_cost_upd_level =
676
865
      AOMMIN(inter_sf->mode_cost_upd_level,
677
865
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.mode]);
678
865
  sf->intra_sf.dv_cost_upd_level =
679
865
      AOMMIN(sf->intra_sf.dv_cost_upd_level,
680
865
             map_cost_upd_to_internal_cost_upd[cost_upd_freq.dv]);
681
865
}
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
2.59k
    const int use_nonrd_pick_mode, const int frames_since_key) {
687
2.59k
  const int fill_costs =
688
2.59k
      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
2.59k
  return ((!use_nonrd_pick_mode && cost_upd_level != INTERNAL_COST_UPD_OFF) ||
692
865
          cost_upd_level == INTERNAL_COST_UPD_TILE || fill_costs);
693
2.59k
}
694
695
865
void av1_initialize_rd_consts(AV1_COMP *cpi) {
696
865
  AV1_COMMON *const cm = &cpi->common;
697
865
  MACROBLOCK *const x = &cpi->td.mb;
698
865
  SPEED_FEATURES *const sf = &cpi->sf;
699
865
  RD_OPT *const rd = &cpi->rd;
700
865
  int use_nonrd_pick_mode = cpi->sf.rt_sf.use_nonrd_pick_mode;
701
865
  int frames_since_key = cpi->rc.frames_since_key;
702
703
865
  rd->RDMULT = av1_compute_rd_mult(
704
865
      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
865
  av1_set_error_per_bit(&x->errorperbit, rd->RDMULT);
716
717
865
  set_block_thresholds(cm, rd);
718
719
865
  populate_unified_cost_update_freq(cpi->oxcf.cost_upd_freq, sf);
720
865
  const INTER_MODE_SPEED_FEATURES *const inter_sf = &cpi->sf.inter_sf;
721
  // Frame level mv cost update
722
865
  if (is_frame_level_cost_upd_freq_set(cm, inter_sf->mv_cost_upd_level,
723
865
                                       use_nonrd_pick_mode, frames_since_key))
724
865
    av1_fill_mv_costs(&cm->fc->nmvc, cm->features.cur_frame_force_integer_mv,
725
865
                      cm->features.allow_high_precision_mv, x->mv_costs);
726
727
  // Frame level coefficient cost update
728
865
  if (is_frame_level_cost_upd_freq_set(cm, inter_sf->coeff_cost_upd_level,
729
865
                                       use_nonrd_pick_mode, frames_since_key))
730
865
    av1_fill_coeff_costs(&x->coeff_costs, cm->fc, av1_num_planes(cm));
731
732
  // Frame level mode cost update
733
865
  if (is_frame_level_cost_upd_freq_set(cm, inter_sf->mode_cost_upd_level,
734
865
                                       use_nonrd_pick_mode, frames_since_key))
735
865
    av1_fill_mode_rates(cm, &x->mode_costs, cm->fc);
736
737
  // Frame level dv cost update
738
865
  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
865
}
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
1.55M
                                       ENTROPY_CONTEXT t_left[MAX_MIB_SIZE]) {
1089
1.55M
  const int num_4x4_w = mi_size_wide[plane_bsize];
1090
1.55M
  const int num_4x4_h = mi_size_high[plane_bsize];
1091
1.55M
  const ENTROPY_CONTEXT *const above = pd->above_entropy_context;
1092
1.55M
  const ENTROPY_CONTEXT *const left = pd->left_entropy_context;
1093
1094
1.55M
  memcpy(t_above, above, sizeof(ENTROPY_CONTEXT) * num_4x4_w);
1095
1.55M
  memcpy(t_left, left, sizeof(ENTROPY_CONTEXT) * num_4x4_h);
1096
1.55M
}
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
1.55M
                              ENTROPY_CONTEXT t_left[MAX_MIB_SIZE]) {
1102
1.55M
  assert(plane_bsize < BLOCK_SIZES_ALL);
1103
1.55M
  get_entropy_contexts_plane(plane_bsize, pd, t_above, t_left);
1104
1.55M
}
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
865
void av1_set_rd_speed_thresholds(AV1_COMP *cpi) {
1208
865
  RD_OPT *const rd = &cpi->rd;
1209
1210
  // Set baseline threshold values.
1211
865
  av1_zero(rd->thresh_mult);
1212
1213
865
  rd->thresh_mult[THR_NEARESTMV] = 300;
1214
865
  rd->thresh_mult[THR_NEARESTL2] = 300;
1215
865
  rd->thresh_mult[THR_NEARESTL3] = 300;
1216
865
  rd->thresh_mult[THR_NEARESTB] = 300;
1217
865
  rd->thresh_mult[THR_NEARESTA2] = 300;
1218
865
  rd->thresh_mult[THR_NEARESTA] = 300;
1219
865
  rd->thresh_mult[THR_NEARESTG] = 300;
1220
1221
865
  rd->thresh_mult[THR_NEWMV] = 1000;
1222
865
  rd->thresh_mult[THR_NEWL2] = 1000;
1223
865
  rd->thresh_mult[THR_NEWL3] = 1000;
1224
865
  rd->thresh_mult[THR_NEWB] = 1000;
1225
865
  rd->thresh_mult[THR_NEWA2] = 1100;
1226
865
  rd->thresh_mult[THR_NEWA] = 1000;
1227
865
  rd->thresh_mult[THR_NEWG] = 1000;
1228
1229
865
  rd->thresh_mult[THR_NEARMV] = 1000;
1230
865
  rd->thresh_mult[THR_NEARL2] = 1000;
1231
865
  rd->thresh_mult[THR_NEARL3] = 1000;
1232
865
  rd->thresh_mult[THR_NEARB] = 1000;
1233
865
  rd->thresh_mult[THR_NEARA2] = 1000;
1234
865
  rd->thresh_mult[THR_NEARA] = 1000;
1235
865
  rd->thresh_mult[THR_NEARG] = 1000;
1236
1237
865
  rd->thresh_mult[THR_GLOBALMV] = 2200;
1238
865
  rd->thresh_mult[THR_GLOBALL2] = 2000;
1239
865
  rd->thresh_mult[THR_GLOBALL3] = 2000;
1240
865
  rd->thresh_mult[THR_GLOBALB] = 2400;
1241
865
  rd->thresh_mult[THR_GLOBALA2] = 2000;
1242
865
  rd->thresh_mult[THR_GLOBALG] = 2000;
1243
865
  rd->thresh_mult[THR_GLOBALA] = 2400;
1244
1245
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLA] = 1100;
1246
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2A] = 1000;
1247
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3A] = 800;
1248
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTGA] = 900;
1249
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLB] = 1000;
1250
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2B] = 1000;
1251
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3B] = 1000;
1252
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTGB] = 1000;
1253
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLA2] = 1000;
1254
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL2A2] = 1000;
1255
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTL3A2] = 1000;
1256
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTGA2] = 1000;
1257
1258
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLL2] = 2000;
1259
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLL3] = 2000;
1260
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTLG] = 2000;
1261
865
  rd->thresh_mult[THR_COMP_NEAREST_NEARESTBA] = 2000;
1262
1263
865
  rd->thresh_mult[THR_COMP_NEAR_NEARLA] = 1200;
1264
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWLA] = 1500;
1265
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTLA] = 1500;
1266
865
  rd->thresh_mult[THR_COMP_NEAR_NEWLA] = 1530;
1267
865
  rd->thresh_mult[THR_COMP_NEW_NEARLA] = 1870;
1268
865
  rd->thresh_mult[THR_COMP_NEW_NEWLA] = 2400;
1269
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLA] = 2750;
1270
1271
865
  rd->thresh_mult[THR_COMP_NEAR_NEARL2A] = 1200;
1272
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWL2A] = 1500;
1273
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTL2A] = 1500;
1274
865
  rd->thresh_mult[THR_COMP_NEAR_NEWL2A] = 1870;
1275
865
  rd->thresh_mult[THR_COMP_NEW_NEARL2A] = 1700;
1276
865
  rd->thresh_mult[THR_COMP_NEW_NEWL2A] = 1800;
1277
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2A] = 2500;
1278
1279
865
  rd->thresh_mult[THR_COMP_NEAR_NEARL3A] = 1200;
1280
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWL3A] = 1500;
1281
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTL3A] = 1500;
1282
865
  rd->thresh_mult[THR_COMP_NEAR_NEWL3A] = 1700;
1283
865
  rd->thresh_mult[THR_COMP_NEW_NEARL3A] = 1700;
1284
865
  rd->thresh_mult[THR_COMP_NEW_NEWL3A] = 2000;
1285
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3A] = 3000;
1286
1287
865
  rd->thresh_mult[THR_COMP_NEAR_NEARGA] = 1320;
1288
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWGA] = 1500;
1289
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTGA] = 1500;
1290
865
  rd->thresh_mult[THR_COMP_NEAR_NEWGA] = 2040;
1291
865
  rd->thresh_mult[THR_COMP_NEW_NEARGA] = 1700;
1292
865
  rd->thresh_mult[THR_COMP_NEW_NEWGA] = 2000;
1293
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGA] = 2250;
1294
1295
865
  rd->thresh_mult[THR_COMP_NEAR_NEARLB] = 1200;
1296
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWLB] = 1500;
1297
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTLB] = 1500;
1298
865
  rd->thresh_mult[THR_COMP_NEAR_NEWLB] = 1360;
1299
865
  rd->thresh_mult[THR_COMP_NEW_NEARLB] = 1700;
1300
865
  rd->thresh_mult[THR_COMP_NEW_NEWLB] = 2400;
1301
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLB] = 2250;
1302
1303
865
  rd->thresh_mult[THR_COMP_NEAR_NEARL2B] = 1200;
1304
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWL2B] = 1500;
1305
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTL2B] = 1500;
1306
865
  rd->thresh_mult[THR_COMP_NEAR_NEWL2B] = 1700;
1307
865
  rd->thresh_mult[THR_COMP_NEW_NEARL2B] = 1700;
1308
865
  rd->thresh_mult[THR_COMP_NEW_NEWL2B] = 2000;
1309
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2B] = 2500;
1310
1311
865
  rd->thresh_mult[THR_COMP_NEAR_NEARL3B] = 1200;
1312
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWL3B] = 1500;
1313
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTL3B] = 1500;
1314
865
  rd->thresh_mult[THR_COMP_NEAR_NEWL3B] = 1870;
1315
865
  rd->thresh_mult[THR_COMP_NEW_NEARL3B] = 1700;
1316
865
  rd->thresh_mult[THR_COMP_NEW_NEWL3B] = 2000;
1317
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3B] = 2500;
1318
1319
865
  rd->thresh_mult[THR_COMP_NEAR_NEARGB] = 1200;
1320
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWGB] = 1500;
1321
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTGB] = 1500;
1322
865
  rd->thresh_mult[THR_COMP_NEAR_NEWGB] = 1700;
1323
865
  rd->thresh_mult[THR_COMP_NEW_NEARGB] = 1700;
1324
865
  rd->thresh_mult[THR_COMP_NEW_NEWGB] = 2000;
1325
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGB] = 2500;
1326
1327
865
  rd->thresh_mult[THR_COMP_NEAR_NEARLA2] = 1200;
1328
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWLA2] = 1800;
1329
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTLA2] = 1500;
1330
865
  rd->thresh_mult[THR_COMP_NEAR_NEWLA2] = 1700;
1331
865
  rd->thresh_mult[THR_COMP_NEW_NEARLA2] = 1700;
1332
865
  rd->thresh_mult[THR_COMP_NEW_NEWLA2] = 2000;
1333
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLA2] = 2500;
1334
1335
865
  rd->thresh_mult[THR_COMP_NEAR_NEARL2A2] = 1200;
1336
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWL2A2] = 1500;
1337
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTL2A2] = 1500;
1338
865
  rd->thresh_mult[THR_COMP_NEAR_NEWL2A2] = 1700;
1339
865
  rd->thresh_mult[THR_COMP_NEW_NEARL2A2] = 1700;
1340
865
  rd->thresh_mult[THR_COMP_NEW_NEWL2A2] = 2000;
1341
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL2A2] = 2500;
1342
1343
865
  rd->thresh_mult[THR_COMP_NEAR_NEARL3A2] = 1440;
1344
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWL3A2] = 1500;
1345
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTL3A2] = 1500;
1346
865
  rd->thresh_mult[THR_COMP_NEAR_NEWL3A2] = 1700;
1347
865
  rd->thresh_mult[THR_COMP_NEW_NEARL3A2] = 1700;
1348
865
  rd->thresh_mult[THR_COMP_NEW_NEWL3A2] = 2000;
1349
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALL3A2] = 2500;
1350
1351
865
  rd->thresh_mult[THR_COMP_NEAR_NEARGA2] = 1200;
1352
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWGA2] = 1500;
1353
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTGA2] = 1500;
1354
865
  rd->thresh_mult[THR_COMP_NEAR_NEWGA2] = 1700;
1355
865
  rd->thresh_mult[THR_COMP_NEW_NEARGA2] = 1700;
1356
865
  rd->thresh_mult[THR_COMP_NEW_NEWGA2] = 2000;
1357
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALGA2] = 2750;
1358
1359
865
  rd->thresh_mult[THR_COMP_NEAR_NEARLL2] = 1600;
1360
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWLL2] = 2000;
1361
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTLL2] = 2000;
1362
865
  rd->thresh_mult[THR_COMP_NEAR_NEWLL2] = 2640;
1363
865
  rd->thresh_mult[THR_COMP_NEW_NEARLL2] = 2200;
1364
865
  rd->thresh_mult[THR_COMP_NEW_NEWLL2] = 2400;
1365
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLL2] = 3200;
1366
1367
865
  rd->thresh_mult[THR_COMP_NEAR_NEARLL3] = 1600;
1368
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWLL3] = 2000;
1369
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTLL3] = 1800;
1370
865
  rd->thresh_mult[THR_COMP_NEAR_NEWLL3] = 2200;
1371
865
  rd->thresh_mult[THR_COMP_NEW_NEARLL3] = 2200;
1372
865
  rd->thresh_mult[THR_COMP_NEW_NEWLL3] = 2400;
1373
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLL3] = 3200;
1374
1375
865
  rd->thresh_mult[THR_COMP_NEAR_NEARLG] = 1760;
1376
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWLG] = 2400;
1377
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTLG] = 2000;
1378
865
  rd->thresh_mult[THR_COMP_NEAR_NEWLG] = 1760;
1379
865
  rd->thresh_mult[THR_COMP_NEW_NEARLG] = 2640;
1380
865
  rd->thresh_mult[THR_COMP_NEW_NEWLG] = 2400;
1381
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALLG] = 3200;
1382
1383
865
  rd->thresh_mult[THR_COMP_NEAR_NEARBA] = 1600;
1384
865
  rd->thresh_mult[THR_COMP_NEAREST_NEWBA] = 2000;
1385
865
  rd->thresh_mult[THR_COMP_NEW_NEARESTBA] = 2000;
1386
865
  rd->thresh_mult[THR_COMP_NEAR_NEWBA] = 2200;
1387
865
  rd->thresh_mult[THR_COMP_NEW_NEARBA] = 1980;
1388
865
  rd->thresh_mult[THR_COMP_NEW_NEWBA] = 2640;
1389
865
  rd->thresh_mult[THR_COMP_GLOBAL_GLOBALBA] = 3200;
1390
1391
865
  rd->thresh_mult[THR_DC] = 1000;
1392
865
  rd->thresh_mult[THR_PAETH] = 1000;
1393
865
  rd->thresh_mult[THR_SMOOTH] = 2200;
1394
865
  rd->thresh_mult[THR_SMOOTH_V] = 2000;
1395
865
  rd->thresh_mult[THR_SMOOTH_H] = 2000;
1396
865
  rd->thresh_mult[THR_H_PRED] = 2000;
1397
865
  rd->thresh_mult[THR_V_PRED] = 1800;
1398
865
  rd->thresh_mult[THR_D135_PRED] = 2500;
1399
865
  rd->thresh_mult[THR_D203_PRED] = 2000;
1400
865
  rd->thresh_mult[THR_D157_PRED] = 2500;
1401
865
  rd->thresh_mult[THR_D67_PRED] = 2000;
1402
865
  rd->thresh_mult[THR_D113_PRED] = 2500;
1403
865
  rd->thresh_mult[THR_D45_PRED] = 2500;
1404
865
}
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
}