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corner_match_test.cc (9225B)


      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 #include <memory>
     12 #include <new>
     13 #include <tuple>
     14 
     15 #include "config/aom_dsp_rtcd.h"
     16 
     17 #include "gtest/gtest.h"
     18 #include "test/acm_random.h"
     19 #include "test/util.h"
     20 #include "test/register_state_check.h"
     21 
     22 #include "aom_dsp/flow_estimation/corner_match.h"
     23 
     24 namespace test_libaom {
     25 
     26 namespace AV1CornerMatch {
     27 
     28 using libaom_test::ACMRandom;
     29 
     30 using ComputeMeanStddevFunc = bool (*)(const unsigned char *frame, int stride,
     31                                       int x, int y, double *mean,
     32                                       double *one_over_stddev);
     33 using ComputeCorrFunc = double (*)(const unsigned char *frame1, int stride1,
     34                                   int x1, int y1, double mean1,
     35                                   double one_over_stddev1,
     36                                   const unsigned char *frame2, int stride2,
     37                                   int x2, int y2, double mean2,
     38                                   double one_over_stddev2);
     39 
     40 using std::make_tuple;
     41 using std::tuple;
     42 using CornerMatchParam = tuple<int, ComputeMeanStddevFunc, ComputeCorrFunc>;
     43 
     44 class AV1CornerMatchTest : public ::testing::TestWithParam<CornerMatchParam> {
     45 public:
     46  ~AV1CornerMatchTest() override;
     47  void SetUp() override;
     48 
     49 protected:
     50  void GenerateInput(uint8_t *input1, uint8_t *input2, int w, int h, int mode);
     51  void RunCheckOutput();
     52  void RunSpeedTest();
     53  ComputeMeanStddevFunc target_compute_mean_stddev_func;
     54  ComputeCorrFunc target_compute_corr_func;
     55 
     56  libaom_test::ACMRandom rnd_;
     57 };
     58 GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(AV1CornerMatchTest);
     59 
     60 AV1CornerMatchTest::~AV1CornerMatchTest() = default;
     61 void AV1CornerMatchTest::SetUp() {
     62  rnd_.Reset(ACMRandom::DeterministicSeed());
     63  target_compute_mean_stddev_func = GET_PARAM(1);
     64  target_compute_corr_func = GET_PARAM(2);
     65 }
     66 
     67 void AV1CornerMatchTest::GenerateInput(uint8_t *input1, uint8_t *input2, int w,
     68                                       int h, int mode) {
     69  if (mode == 0) {
     70    for (int i = 0; i < h; ++i)
     71      for (int j = 0; j < w; ++j) {
     72        input1[i * w + j] = rnd_.Rand8();
     73        input2[i * w + j] = rnd_.Rand8();
     74      }
     75  } else if (mode == 1) {
     76    for (int i = 0; i < h; ++i)
     77      for (int j = 0; j < w; ++j) {
     78        int v = rnd_.Rand8();
     79        input1[i * w + j] = v;
     80        input2[i * w + j] = (v / 2) + (rnd_.Rand8() & 15);
     81      }
     82  }
     83 }
     84 
     85 void AV1CornerMatchTest::RunCheckOutput() {
     86  const int w = 128, h = 128;
     87  const int num_iters = 1000;
     88 
     89  std::unique_ptr<uint8_t[]> input1(new (std::nothrow) uint8_t[w * h]);
     90  std::unique_ptr<uint8_t[]> input2(new (std::nothrow) uint8_t[w * h]);
     91  ASSERT_NE(input1, nullptr);
     92  ASSERT_NE(input2, nullptr);
     93 
     94  // Test the two extreme cases:
     95  // i) Random data, should have correlation close to 0
     96  // ii) Linearly related data + noise, should have correlation close to 1
     97  int mode = GET_PARAM(0);
     98  GenerateInput(&input1[0], &input2[0], w, h, mode);
     99 
    100  for (int i = 0; i < num_iters; ++i) {
    101    int x1 = MATCH_SZ_BY2 + rnd_.PseudoUniform(w + 1 - MATCH_SZ);
    102    int y1 = MATCH_SZ_BY2 + rnd_.PseudoUniform(h + 1 - MATCH_SZ);
    103    int x2 = MATCH_SZ_BY2 + rnd_.PseudoUniform(w + 1 - MATCH_SZ);
    104    int y2 = MATCH_SZ_BY2 + rnd_.PseudoUniform(h + 1 - MATCH_SZ);
    105 
    106    double c_mean1, c_one_over_stddev1, c_mean2, c_one_over_stddev2;
    107    bool c_valid1 = aom_compute_mean_stddev_c(input1.get(), w, x1, y1, &c_mean1,
    108                                              &c_one_over_stddev1);
    109    bool c_valid2 = aom_compute_mean_stddev_c(input2.get(), w, x2, y2, &c_mean2,
    110                                              &c_one_over_stddev2);
    111 
    112    double simd_mean1, simd_one_over_stddev1, simd_mean2, simd_one_over_stddev2;
    113    bool simd_valid1 = target_compute_mean_stddev_func(
    114        input1.get(), w, x1, y1, &simd_mean1, &simd_one_over_stddev1);
    115    bool simd_valid2 = target_compute_mean_stddev_func(
    116        input2.get(), w, x2, y2, &simd_mean2, &simd_one_over_stddev2);
    117 
    118    // Run the correlation calculation even if one of the "valid" flags is
    119    // false, i.e. if one of the patches doesn't have enough variance. This is
    120    // safe because any potential division by 0 is caught in
    121    // aom_compute_mean_stddev(), and one_over_stddev is set to 0 instead.
    122    // This causes aom_compute_correlation() to return 0, without causing a
    123    // division by 0.
    124    const double c_corr = aom_compute_correlation_c(
    125        input1.get(), w, x1, y1, c_mean1, c_one_over_stddev1, input2.get(), w,
    126        x2, y2, c_mean2, c_one_over_stddev2);
    127    const double simd_corr = target_compute_corr_func(
    128        input1.get(), w, x1, y1, c_mean1, c_one_over_stddev1, input2.get(), w,
    129        x2, y2, c_mean2, c_one_over_stddev2);
    130 
    131    ASSERT_EQ(simd_valid1, c_valid1);
    132    ASSERT_EQ(simd_valid2, c_valid2);
    133    ASSERT_EQ(simd_mean1, c_mean1);
    134    ASSERT_EQ(simd_one_over_stddev1, c_one_over_stddev1);
    135    ASSERT_EQ(simd_mean2, c_mean2);
    136    ASSERT_EQ(simd_one_over_stddev2, c_one_over_stddev2);
    137    ASSERT_EQ(simd_corr, c_corr);
    138  }
    139 }
    140 
    141 void AV1CornerMatchTest::RunSpeedTest() {
    142  const int w = 16, h = 16;
    143  const int num_iters = 1000000;
    144  aom_usec_timer ref_timer, test_timer;
    145 
    146  std::unique_ptr<uint8_t[]> input1(new (std::nothrow) uint8_t[w * h]);
    147  std::unique_ptr<uint8_t[]> input2(new (std::nothrow) uint8_t[w * h]);
    148  ASSERT_NE(input1, nullptr);
    149  ASSERT_NE(input2, nullptr);
    150 
    151  // Test the two extreme cases:
    152  // i) Random data, should have correlation close to 0
    153  // ii) Linearly related data + noise, should have correlation close to 1
    154  int mode = GET_PARAM(0);
    155  GenerateInput(&input1[0], &input2[0], w, h, mode);
    156 
    157  // Time aom_compute_mean_stddev()
    158  double c_mean1, c_one_over_stddev1, c_mean2, c_one_over_stddev2;
    159  aom_usec_timer_start(&ref_timer);
    160  for (int i = 0; i < num_iters; i++) {
    161    aom_compute_mean_stddev_c(input1.get(), w, 0, 0, &c_mean1,
    162                              &c_one_over_stddev1);
    163    aom_compute_mean_stddev_c(input2.get(), w, 0, 0, &c_mean2,
    164                              &c_one_over_stddev2);
    165  }
    166  aom_usec_timer_mark(&ref_timer);
    167  int elapsed_time_c = static_cast<int>(aom_usec_timer_elapsed(&ref_timer));
    168 
    169  double simd_mean1, simd_one_over_stddev1, simd_mean2, simd_one_over_stddev2;
    170  aom_usec_timer_start(&test_timer);
    171  for (int i = 0; i < num_iters; i++) {
    172    target_compute_mean_stddev_func(input1.get(), w, 0, 0, &simd_mean1,
    173                                    &simd_one_over_stddev1);
    174    target_compute_mean_stddev_func(input2.get(), w, 0, 0, &simd_mean2,
    175                                    &simd_one_over_stddev2);
    176  }
    177  aom_usec_timer_mark(&test_timer);
    178  int elapsed_time_simd = static_cast<int>(aom_usec_timer_elapsed(&test_timer));
    179 
    180  printf(
    181      "aom_compute_mean_stddev(): c_time=%6d   simd_time=%6d   "
    182      "gain=%.3f\n",
    183      elapsed_time_c, elapsed_time_simd,
    184      (elapsed_time_c / (double)elapsed_time_simd));
    185 
    186  // Time aom_compute_correlation
    187  aom_usec_timer_start(&ref_timer);
    188  for (int i = 0; i < num_iters; i++) {
    189    aom_compute_correlation_c(input1.get(), w, 0, 0, c_mean1,
    190                              c_one_over_stddev1, input2.get(), w, 0, 0,
    191                              c_mean2, c_one_over_stddev2);
    192  }
    193  aom_usec_timer_mark(&ref_timer);
    194  elapsed_time_c = static_cast<int>(aom_usec_timer_elapsed(&ref_timer));
    195 
    196  aom_usec_timer_start(&test_timer);
    197  for (int i = 0; i < num_iters; i++) {
    198    target_compute_corr_func(input1.get(), w, 0, 0, c_mean1, c_one_over_stddev1,
    199                             input2.get(), w, 0, 0, c_mean2,
    200                             c_one_over_stddev2);
    201  }
    202  aom_usec_timer_mark(&test_timer);
    203  elapsed_time_simd = static_cast<int>(aom_usec_timer_elapsed(&test_timer));
    204 
    205  printf(
    206      "aom_compute_correlation(): c_time=%6d   simd_time=%6d   "
    207      "gain=%.3f\n",
    208      elapsed_time_c, elapsed_time_simd,
    209      (elapsed_time_c / (double)elapsed_time_simd));
    210 }
    211 
    212 TEST_P(AV1CornerMatchTest, CheckOutput) { RunCheckOutput(); }
    213 TEST_P(AV1CornerMatchTest, DISABLED_Speed) { RunSpeedTest(); }
    214 
    215 #if HAVE_SSE4_1
    216 INSTANTIATE_TEST_SUITE_P(
    217    SSE4_1, AV1CornerMatchTest,
    218    ::testing::Values(make_tuple(0, &aom_compute_mean_stddev_sse4_1,
    219                                 &aom_compute_correlation_sse4_1),
    220                      make_tuple(1, &aom_compute_mean_stddev_sse4_1,
    221                                 &aom_compute_correlation_sse4_1)));
    222 #endif
    223 
    224 #if HAVE_AVX2
    225 INSTANTIATE_TEST_SUITE_P(
    226    AVX2, AV1CornerMatchTest,
    227    ::testing::Values(make_tuple(0, &aom_compute_mean_stddev_avx2,
    228                                 &aom_compute_correlation_avx2),
    229                      make_tuple(1, &aom_compute_mean_stddev_avx2,
    230                                 &aom_compute_correlation_avx2)));
    231 #endif
    232 }  // namespace AV1CornerMatch
    233 
    234 }  // namespace test_libaom