summaryrefslogtreecommitdiffstats
path: root/third_party/aom/test/av1_convolve_test.cc
blob: 02ac8e7bb9423afe952046a7f5a5b06eed70033c (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
/*
 * Copyright (c) 2016, Alliance for Open Media. All rights reserved
 *
 * This source code is subject to the terms of the BSD 2 Clause License and
 * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
 * was not distributed with this source code in the LICENSE file, you can
 * obtain it at www.aomedia.org/license/software. If the Alliance for Open
 * Media Patent License 1.0 was not distributed with this source code in the
 * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
 */

#include <algorithm>
#include <vector>

#include "third_party/googletest/src/googletest/include/gtest/gtest.h"

#include "./av1_rtcd.h"
#include "./aom_dsp_rtcd.h"
#include "aom_dsp/aom_dsp_common.h"
#include "aom_ports/mem.h"
#include "av1/common/filter.h"
#include "av1/common/convolve.h"
#include "test/acm_random.h"
#include "test/util.h"

using libaom_test::ACMRandom;

namespace {
using std::tr1::tuple;
static void filter_block1d_horiz_c(const uint8_t *src_ptr, int src_stride,
                                   const int16_t *filter, int tap,
                                   uint8_t *dst_ptr, int dst_stride, int w,
                                   int h) {
  src_ptr -= tap / 2 - 1;
  for (int r = 0; r < h; ++r) {
    for (int c = 0; c < w; ++c) {
      int sum = 0;
      for (int i = 0; i < tap; ++i) {
        sum += src_ptr[c + i] * filter[i];
      }
      dst_ptr[c] = clip_pixel(ROUND_POWER_OF_TWO(sum, FILTER_BITS));
    }
    src_ptr += src_stride;
    dst_ptr += dst_stride;
  }
}

static void filter_block1d_vert_c(const uint8_t *src_ptr, int src_stride,
                                  const int16_t *filter, int tap,
                                  uint8_t *dst_ptr, int dst_stride, int w,
                                  int h) {
  src_ptr -= (tap / 2 - 1) * src_stride;
  for (int r = 0; r < h; ++r) {
    for (int c = 0; c < w; ++c) {
      int sum = 0;
      for (int i = 0; i < tap; ++i) {
        sum += src_ptr[c + i * src_stride] * filter[i];
      }
      dst_ptr[c] = clip_pixel(ROUND_POWER_OF_TWO(sum, FILTER_BITS));
    }
    src_ptr += src_stride;
    dst_ptr += dst_stride;
  }
}

static int match(const uint8_t *out, int out_stride, const uint8_t *ref_out,
                 int ref_out_stride, int w, int h) {
  for (int r = 0; r < h; ++r) {
    for (int c = 0; c < w; ++c) {
      if (out[r * out_stride + c] != ref_out[r * ref_out_stride + c]) return 0;
    }
  }
  return 1;
}

typedef void (*ConvolveFunc)(const uint8_t *src, int src_stride, uint8_t *dst,
                             int dst_stride, int w, int h,
                             const InterpFilterParams filter_params,
                             const int subpel_q4, int step_q4,
                             ConvolveParams *conv_params);

struct ConvolveFunctions {
  ConvolveFunctions(ConvolveFunc hf, ConvolveFunc vf) : hf_(hf), vf_(vf) {}
  ConvolveFunc hf_;
  ConvolveFunc vf_;
};

typedef tuple<ConvolveFunctions *, InterpFilter /*filter_x*/,
              InterpFilter /*filter_y*/>
    ConvolveParam;

class Av1ConvolveTest : public ::testing::TestWithParam<ConvolveParam> {
 public:
  virtual void SetUp() {
    rnd_(ACMRandom::DeterministicSeed());
    cfs_ = GET_PARAM(0);
    interp_filter_ls_[0] = GET_PARAM(2);
    interp_filter_ls_[2] = interp_filter_ls_[0];
    interp_filter_ls_[1] = GET_PARAM(1);
    interp_filter_ls_[3] = interp_filter_ls_[1];
  }
  virtual void TearDown() {
    while (buf_ls_.size() > 0) {
      uint8_t *buf = buf_ls_.back();
      aom_free(buf);
      buf_ls_.pop_back();
    }
  }
  virtual uint8_t *add_input(int w, int h, int *stride) {
    uint8_t *buf =
        reinterpret_cast<uint8_t *>(aom_memalign(kDataAlignment, kBufferSize));
    buf_ls_.push_back(buf);
    *stride = w + MAX_FILTER_TAP - 1;
    int offset = MAX_FILTER_TAP / 2 - 1;
    for (int r = 0; r < h + MAX_FILTER_TAP - 1; ++r) {
      for (int c = 0; c < w + MAX_FILTER_TAP - 1; ++c) {
        buf[r * (*stride) + c] = rnd_.Rand8();
      }
    }
    return buf + offset * (*stride) + offset;
  }
  virtual uint8_t *add_output(int w, int /*h*/, int *stride) {
    uint8_t *buf =
        reinterpret_cast<uint8_t *>(aom_memalign(kDataAlignment, kBufferSize));
    buf_ls_.push_back(buf);
    *stride = w;
    return buf;
  }
  virtual void random_init_buf(uint8_t *buf, int w, int h, int stride) {
    for (int r = 0; r < h; ++r) {
      for (int c = 0; c < w; ++c) {
        buf[r * stride + c] = rnd_.Rand8();
      }
    }
  }

 protected:
  static const int kDataAlignment = 16;
  static const int kOuterBlockSize = MAX_SB_SIZE + MAX_FILTER_TAP - 1;
  static const int kBufferSize = kOuterBlockSize * kOuterBlockSize;
  std::vector<uint8_t *> buf_ls_;
  InterpFilter interp_filter_ls_[4];
  ConvolveFunctions *cfs_;
  ACMRandom rnd_;
};

int bsize_ls[] = { 1, 2, 4, 8, 16, 32, 64, 3, 7, 15, 31, 63 };
int bsize_num = sizeof(bsize_ls) / sizeof(bsize_ls[0]);

TEST_P(Av1ConvolveTest, av1_convolve_vert) {
  const int y_step_q4 = 16;
  ConvolveParams conv_params = get_conv_params(0, 0);

  int in_stride, out_stride, ref_out_stride, avg_out_stride, ref_avg_out_stride;
  uint8_t *in = add_input(MAX_SB_SIZE, MAX_SB_SIZE, &in_stride);
  uint8_t *out = add_output(MAX_SB_SIZE, MAX_SB_SIZE, &out_stride);
  uint8_t *ref_out = add_output(MAX_SB_SIZE, MAX_SB_SIZE, &ref_out_stride);
  uint8_t *avg_out = add_output(MAX_SB_SIZE, MAX_SB_SIZE, &avg_out_stride);
  uint8_t *ref_avg_out =
      add_output(MAX_SB_SIZE, MAX_SB_SIZE, &ref_avg_out_stride);
  for (int hb_idx = 0; hb_idx < bsize_num; ++hb_idx) {
    for (int vb_idx = 0; vb_idx < bsize_num; ++vb_idx) {
      int w = bsize_ls[hb_idx];
      int h = bsize_ls[vb_idx];
      for (int subpel_y_q4 = 0; subpel_y_q4 < SUBPEL_SHIFTS; ++subpel_y_q4) {
        InterpFilter filter_y = interp_filter_ls_[0];
        InterpFilterParams param_vert = av1_get_interp_filter_params(filter_y);
        const int16_t *filter_vert =
            av1_get_interp_filter_subpel_kernel(param_vert, subpel_y_q4);

        filter_block1d_vert_c(in, in_stride, filter_vert, param_vert.taps,
                              ref_out, ref_out_stride, w, h);

        conv_params.ref = 0;
        cfs_->vf_(in, in_stride, out, out_stride, w, h, param_vert, subpel_y_q4,
                  y_step_q4, &conv_params);
        EXPECT_EQ(match(out, out_stride, ref_out, ref_out_stride, w, h), 1)
            << " hb_idx " << hb_idx << " vb_idx " << vb_idx << " filter_y "
            << filter_y << " subpel_y_q4 " << subpel_y_q4;

        random_init_buf(avg_out, w, h, avg_out_stride);
        for (int r = 0; r < h; ++r) {
          for (int c = 0; c < w; ++c) {
            ref_avg_out[r * ref_avg_out_stride + c] = ROUND_POWER_OF_TWO(
                avg_out[r * avg_out_stride + c] + out[r * out_stride + c], 1);
          }
        }
        conv_params.ref = 1;
        cfs_->vf_(in, in_stride, avg_out, avg_out_stride, w, h, param_vert,
                  subpel_y_q4, y_step_q4, &conv_params);
        EXPECT_EQ(match(avg_out, avg_out_stride, ref_avg_out,
                        ref_avg_out_stride, w, h),
                  1)
            << " hb_idx " << hb_idx << " vb_idx " << vb_idx << " filter_y "
            << filter_y << " subpel_y_q4 " << subpel_y_q4;
      }
    }
  }
};

TEST_P(Av1ConvolveTest, av1_convolve_horiz) {
  const int x_step_q4 = 16;
  ConvolveParams conv_params = get_conv_params(0, 0);

  int in_stride, out_stride, ref_out_stride, avg_out_stride, ref_avg_out_stride;
  uint8_t *in = add_input(MAX_SB_SIZE, MAX_SB_SIZE, &in_stride);
  uint8_t *out = add_output(MAX_SB_SIZE, MAX_SB_SIZE, &out_stride);
  uint8_t *ref_out = add_output(MAX_SB_SIZE, MAX_SB_SIZE, &ref_out_stride);
  uint8_t *avg_out = add_output(MAX_SB_SIZE, MAX_SB_SIZE, &avg_out_stride);
  uint8_t *ref_avg_out =
      add_output(MAX_SB_SIZE, MAX_SB_SIZE, &ref_avg_out_stride);
  for (int hb_idx = 0; hb_idx < bsize_num; ++hb_idx) {
    for (int vb_idx = 0; vb_idx < bsize_num; ++vb_idx) {
      int w = bsize_ls[hb_idx];
      int h = bsize_ls[vb_idx];
      for (int subpel_x_q4 = 0; subpel_x_q4 < SUBPEL_SHIFTS; ++subpel_x_q4) {
        InterpFilter filter_x = interp_filter_ls_[1];
        InterpFilterParams param_horiz = av1_get_interp_filter_params(filter_x);
        const int16_t *filter_horiz =
            av1_get_interp_filter_subpel_kernel(param_horiz, subpel_x_q4);

        filter_block1d_horiz_c(in, in_stride, filter_horiz, param_horiz.taps,
                               ref_out, ref_out_stride, w, h);

        conv_params.ref = 0;
        cfs_->hf_(in, in_stride, out, out_stride, w, h, param_horiz,
                  subpel_x_q4, x_step_q4, &conv_params);
        EXPECT_EQ(match(out, out_stride, ref_out, ref_out_stride, w, h), 1)
            << " hb_idx " << hb_idx << " vb_idx " << vb_idx << " filter_x "
            << filter_x << " subpel_x_q4 " << subpel_x_q4;

        random_init_buf(avg_out, w, h, avg_out_stride);
        for (int r = 0; r < h; ++r) {
          for (int c = 0; c < w; ++c) {
            ref_avg_out[r * ref_avg_out_stride + c] = ROUND_POWER_OF_TWO(
                avg_out[r * avg_out_stride + c] + out[r * out_stride + c], 1);
          }
        }
        conv_params.ref = 1;
        cfs_->hf_(in, in_stride, avg_out, avg_out_stride, w, h, param_horiz,
                  subpel_x_q4, x_step_q4, &conv_params);
        EXPECT_EQ(match(avg_out, avg_out_stride, ref_avg_out,
                        ref_avg_out_stride, w, h),
                  1)
            << "hb_idx " << hb_idx << "vb_idx" << vb_idx << " filter_x "
            << filter_x << "subpel_x_q4 " << subpel_x_q4;
      }
    }
  }
};

ConvolveFunctions convolve_functions_c(av1_convolve_horiz_c,
                                       av1_convolve_vert_c);

InterpFilter filter_ls[] = { EIGHTTAP_REGULAR, EIGHTTAP_SMOOTH,
                             MULTITAP_SHARP };

INSTANTIATE_TEST_CASE_P(
    C, Av1ConvolveTest,
    ::testing::Combine(::testing::Values(&convolve_functions_c),
                       ::testing::ValuesIn(filter_ls),
                       ::testing::ValuesIn(filter_ls)));

#if CONFIG_HIGHBITDEPTH
TEST(AV1ConvolveTest, av1_highbd_convolve) {
  ACMRandom rnd(ACMRandom::DeterministicSeed());
#if CONFIG_DUAL_FILTER
  InterpFilter interp_filter[4] = { EIGHTTAP_REGULAR, EIGHTTAP_REGULAR,
                                    EIGHTTAP_REGULAR, EIGHTTAP_REGULAR };
  InterpFilterParams filter_params =
      av1_get_interp_filter_params(interp_filter[0]);
#else
  InterpFilter interp_filter = EIGHTTAP_REGULAR;
  InterpFilterParams filter_params =
      av1_get_interp_filter_params(interp_filter);
#endif
  int filter_size = filter_params.taps;
  int filter_center = filter_size / 2 - 1;
  uint16_t src[12 * 12];
  int src_stride = filter_size;
  uint16_t dst[1] = { 0 };
  int dst_stride = 1;
  int x_step_q4 = 16;
  int y_step_q4 = 16;
  int avg = 0;
  int bd = 10;
  int w = 1;
  int h = 1;

  int subpel_x_q4;
  int subpel_y_q4;

  for (int i = 0; i < filter_size * filter_size; i++) {
    src[i] = rnd.Rand16() % (1 << bd);
  }

  for (subpel_x_q4 = 0; subpel_x_q4 < SUBPEL_SHIFTS; subpel_x_q4++) {
    for (subpel_y_q4 = 0; subpel_y_q4 < SUBPEL_SHIFTS; subpel_y_q4++) {
      av1_highbd_convolve(
          CONVERT_TO_BYTEPTR(src + src_stride * filter_center + filter_center),
          src_stride, CONVERT_TO_BYTEPTR(dst), dst_stride, w, h, interp_filter,
          subpel_x_q4, x_step_q4, subpel_y_q4, y_step_q4, avg, bd);

      const int16_t *x_filter =
          av1_get_interp_filter_subpel_kernel(filter_params, subpel_x_q4);
      const int16_t *y_filter =
          av1_get_interp_filter_subpel_kernel(filter_params, subpel_y_q4);

      int temp[12];
      int dst_ref = 0;
      for (int r = 0; r < filter_size; r++) {
        temp[r] = 0;
        for (int c = 0; c < filter_size; c++) {
          temp[r] += x_filter[c] * src[r * filter_size + c];
        }
        temp[r] =
            clip_pixel_highbd(ROUND_POWER_OF_TWO(temp[r], FILTER_BITS), bd);
        dst_ref += temp[r] * y_filter[r];
      }
      dst_ref = clip_pixel_highbd(ROUND_POWER_OF_TWO(dst_ref, FILTER_BITS), bd);
      EXPECT_EQ(dst[0], dst_ref);
    }
  }
}

TEST(AV1ConvolveTest, av1_highbd_convolve_avg) {
  ACMRandom rnd(ACMRandom::DeterministicSeed());
#if CONFIG_DUAL_FILTER
  InterpFilter interp_filter[4] = { EIGHTTAP_REGULAR, EIGHTTAP_REGULAR,
                                    EIGHTTAP_REGULAR, EIGHTTAP_REGULAR };
  InterpFilterParams filter_params =
      av1_get_interp_filter_params(interp_filter[0]);
#else
  InterpFilter interp_filter = EIGHTTAP_REGULAR;
  InterpFilterParams filter_params =
      av1_get_interp_filter_params(interp_filter);
#endif
  int filter_size = filter_params.taps;
  int filter_center = filter_size / 2 - 1;
  uint16_t src0[12 * 12];
  uint16_t src1[12 * 12];
  int src_stride = filter_size;
  uint16_t dst0[1] = { 0 };
  uint16_t dst1[1] = { 0 };
  uint16_t dst[1] = { 0 };
  int dst_stride = 1;
  int x_step_q4 = 16;
  int y_step_q4 = 16;
  int avg = 0;
  int bd = 10;

  int w = 1;
  int h = 1;

  int subpel_x_q4;
  int subpel_y_q4;

  for (int i = 0; i < filter_size * filter_size; i++) {
    src0[i] = rnd.Rand16() % (1 << bd);
    src1[i] = rnd.Rand16() % (1 << bd);
  }

  for (subpel_x_q4 = 0; subpel_x_q4 < SUBPEL_SHIFTS; subpel_x_q4++) {
    for (subpel_y_q4 = 0; subpel_y_q4 < SUBPEL_SHIFTS; subpel_y_q4++) {
      int offset = filter_size * filter_center + filter_center;

      avg = 0;
      av1_highbd_convolve(CONVERT_TO_BYTEPTR(src0 + offset), src_stride,
                          CONVERT_TO_BYTEPTR(dst0), dst_stride, w, h,
                          interp_filter, subpel_x_q4, x_step_q4, subpel_y_q4,
                          y_step_q4, avg, bd);
      avg = 0;
      av1_highbd_convolve(CONVERT_TO_BYTEPTR(src1 + offset), src_stride,
                          CONVERT_TO_BYTEPTR(dst1), dst_stride, w, h,
                          interp_filter, subpel_x_q4, x_step_q4, subpel_y_q4,
                          y_step_q4, avg, bd);

      avg = 0;
      av1_highbd_convolve(CONVERT_TO_BYTEPTR(src0 + offset), src_stride,
                          CONVERT_TO_BYTEPTR(dst), dst_stride, w, h,
                          interp_filter, subpel_x_q4, x_step_q4, subpel_y_q4,
                          y_step_q4, avg, bd);
      avg = 1;
      av1_highbd_convolve(CONVERT_TO_BYTEPTR(src1 + offset), src_stride,
                          CONVERT_TO_BYTEPTR(dst), dst_stride, w, h,
                          interp_filter, subpel_x_q4, x_step_q4, subpel_y_q4,
                          y_step_q4, avg, bd);

      EXPECT_EQ(dst[0], ROUND_POWER_OF_TWO(dst0[0] + dst1[0], 1));
    }
  }
}
#endif  // CONFIG_HIGHBITDEPTH

#define CONVOLVE_SPEED_TEST 0
#if CONVOLVE_SPEED_TEST
#define highbd_convolve_speed(func, block_size, frame_size)                  \
  TEST(AV1ConvolveTest, func##_speed_##block_size##_##frame_size) {          \
    ACMRandom rnd(ACMRandom::DeterministicSeed());                           \
    InterpFilter interp_filter = EIGHTTAP;                                   \
    InterpFilterParams filter_params =                                       \
        av1_get_interp_filter_params(interp_filter);                         \
    int filter_size = filter_params.tap;                                     \
    int filter_center = filter_size / 2 - 1;                                 \
    DECLARE_ALIGNED(16, uint16_t,                                            \
                    src[(frame_size + 7) * (frame_size + 7)]) = { 0 };       \
    int src_stride = frame_size + 7;                                         \
    DECLARE_ALIGNED(16, uint16_t, dst[frame_size * frame_size]) = { 0 };     \
    int dst_stride = frame_size;                                             \
    int x_step_q4 = 16;                                                      \
    int y_step_q4 = 16;                                                      \
    int subpel_x_q4 = 8;                                                     \
    int subpel_y_q4 = 6;                                                     \
    int bd = 10;                                                             \
                                                                             \
    int w = block_size;                                                      \
    int h = block_size;                                                      \
                                                                             \
    const int16_t *filter_x =                                                \
        av1_get_interp_filter_kernel(filter_params, subpel_x_q4);            \
    const int16_t *filter_y =                                                \
        av1_get_interp_filter_kernel(filter_params, subpel_y_q4);            \
                                                                             \
    for (int i = 0; i < src_stride * src_stride; i++) {                      \
      src[i] = rnd.Rand16() % (1 << bd);                                     \
    }                                                                        \
                                                                             \
    int offset = filter_center * src_stride + filter_center;                 \
    int row_offset = 0;                                                      \
    int col_offset = 0;                                                      \
    for (int i = 0; i < 100000; i++) {                                       \
      int src_total_offset = offset + col_offset * src_stride + row_offset;  \
      int dst_total_offset = col_offset * dst_stride + row_offset;           \
      func(CONVERT_TO_BYTEPTR(src + src_total_offset), src_stride,           \
           CONVERT_TO_BYTEPTR(dst + dst_total_offset), dst_stride, filter_x, \
           x_step_q4, filter_y, y_step_q4, w, h, bd);                        \
      if (offset + w + w < frame_size) {                                     \
        row_offset += w;                                                     \
      } else {                                                               \
        row_offset = 0;                                                      \
        col_offset += h;                                                     \
      }                                                                      \
      if (col_offset + h >= frame_size) {                                    \
        col_offset = 0;                                                      \
      }                                                                      \
    }                                                                        \
  }

#define lowbd_convolve_speed(func, block_size, frame_size)                  \
  TEST(AV1ConvolveTest, func##_speed_l_##block_size##_##frame_size) {       \
    ACMRandom rnd(ACMRandom::DeterministicSeed());                          \
    InterpFilter interp_filter = EIGHTTAP;                                  \
    InterpFilterParams filter_params =                                      \
        av1_get_interp_filter_params(interp_filter);                        \
    int filter_size = filter_params.tap;                                    \
    int filter_center = filter_size / 2 - 1;                                \
    DECLARE_ALIGNED(16, uint8_t, src[(frame_size + 7) * (frame_size + 7)]); \
    int src_stride = frame_size + 7;                                        \
    DECLARE_ALIGNED(16, uint8_t, dst[frame_size * frame_size]);             \
    int dst_stride = frame_size;                                            \
    int x_step_q4 = 16;                                                     \
    int y_step_q4 = 16;                                                     \
    int subpel_x_q4 = 8;                                                    \
    int subpel_y_q4 = 6;                                                    \
    int bd = 8;                                                             \
                                                                            \
    int w = block_size;                                                     \
    int h = block_size;                                                     \
                                                                            \
    const int16_t *filter_x =                                               \
        av1_get_interp_filter_kernel(filter_params, subpel_x_q4);           \
    const int16_t *filter_y =                                               \
        av1_get_interp_filter_kernel(filter_params, subpel_y_q4);           \
                                                                            \
    for (int i = 0; i < src_stride * src_stride; i++) {                     \
      src[i] = rnd.Rand16() % (1 << bd);                                    \
    }                                                                       \
                                                                            \
    int offset = filter_center * src_stride + filter_center;                \
    int row_offset = 0;                                                     \
    int col_offset = 0;                                                     \
    for (int i = 0; i < 100000; i++) {                                      \
      func(src + offset, src_stride, dst, dst_stride, filter_x, x_step_q4,  \
           filter_y, y_step_q4, w, h);                                      \
      if (offset + w + w < frame_size) {                                    \
        row_offset += w;                                                    \
      } else {                                                              \
        row_offset = 0;                                                     \
        col_offset += h;                                                    \
      }                                                                     \
      if (col_offset + h >= frame_size) {                                   \
        col_offset = 0;                                                     \
      }                                                                     \
    }                                                                       \
  }

// This experiment shows that when frame size is 64x64
// aom_highbd_convolve8_sse2 and aom_convolve8_sse2's speed are similar.
// However when frame size becomes 1024x1024
// aom_highbd_convolve8_sse2 is around 50% slower than aom_convolve8_sse2
// we think the bottleneck is from memory IO
highbd_convolve_speed(aom_highbd_convolve8_sse2, 8, 64);
highbd_convolve_speed(aom_highbd_convolve8_sse2, 16, 64);
highbd_convolve_speed(aom_highbd_convolve8_sse2, 32, 64);
highbd_convolve_speed(aom_highbd_convolve8_sse2, 64, 64);

lowbd_convolve_speed(aom_convolve8_sse2, 8, 64);
lowbd_convolve_speed(aom_convolve8_sse2, 16, 64);
lowbd_convolve_speed(aom_convolve8_sse2, 32, 64);
lowbd_convolve_speed(aom_convolve8_sse2, 64, 64);

highbd_convolve_speed(aom_highbd_convolve8_sse2, 8, 1024);
highbd_convolve_speed(aom_highbd_convolve8_sse2, 16, 1024);
highbd_convolve_speed(aom_highbd_convolve8_sse2, 32, 1024);
highbd_convolve_speed(aom_highbd_convolve8_sse2, 64, 1024);

lowbd_convolve_speed(aom_convolve8_sse2, 8, 1024);
lowbd_convolve_speed(aom_convolve8_sse2, 16, 1024);
lowbd_convolve_speed(aom_convolve8_sse2, 32, 1024);
lowbd_convolve_speed(aom_convolve8_sse2, 64, 1024);
#endif  // CONVOLVE_SPEED_TEST
}  // namespace