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Diffstat (limited to 'third_party/aom/test/wiener_test.cc')
| -rw-r--r-- | third_party/aom/test/wiener_test.cc | 280 |
1 files changed, 280 insertions, 0 deletions
diff --git a/third_party/aom/test/wiener_test.cc b/third_party/aom/test/wiener_test.cc new file mode 100644 index 0000000000..dfec09119d --- /dev/null +++ b/third_party/aom/test/wiener_test.cc @@ -0,0 +1,280 @@ +/* + * Copyright (c) 2018, 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 <vector> + +#include "third_party/googletest/src/googletest/include/gtest/gtest.h" + +#include "test/function_equivalence_test.h" +#include "test/register_state_check.h" + +#include "config/aom_config.h" +#include "config/aom_dsp_rtcd.h" + +#include "aom/aom_integer.h" +#include "av1/encoder/pickrst.h" + +#define MAX_WIENER_BLOCK 384 +#define MAX_DATA_BLOCK (MAX_WIENER_BLOCK + WIENER_WIN) +using libaom_test::FunctionEquivalenceTest; + +namespace { + +static void compute_stats_win_opt_c(int wiener_win, const uint8_t *dgd, + const uint8_t *src, int h_start, int h_end, + int v_start, int v_end, int dgd_stride, + int src_stride, double *M, double *H) { + ASSERT_TRUE(wiener_win == WIENER_WIN || wiener_win == WIENER_WIN_CHROMA); + int i, j, k, l, m, n; + const int pixel_count = (h_end - h_start) * (v_end - v_start); + const int wiener_win2 = wiener_win * wiener_win; + const int wiener_halfwin = (wiener_win >> 1); + const double avg = + find_average(dgd, h_start, h_end, v_start, v_end, dgd_stride); + + std::vector<std::vector<int64_t> > M_int(wiener_win, + std::vector<int64_t>(wiener_win, 0)); + std::vector<std::vector<int64_t> > H_int( + wiener_win * wiener_win, std::vector<int64_t>(wiener_win * 8, 0)); + std::vector<std::vector<int32_t> > sumY(wiener_win, + std::vector<int32_t>(wiener_win, 0)); + int32_t sumX = 0; + const uint8_t *dgd_win = dgd - wiener_halfwin * dgd_stride - wiener_halfwin; + + for (i = v_start; i < v_end; i++) { + for (j = h_start; j < h_end; j += 2) { + const uint8_t X1 = src[i * src_stride + j]; + const uint8_t X2 = src[i * src_stride + j + 1]; + sumX += X1 + X2; + + const uint8_t *dgd_ij = dgd_win + i * dgd_stride + j; + for (k = 0; k < wiener_win; k++) { + for (l = 0; l < wiener_win; l++) { + const uint8_t *dgd_ijkl = dgd_ij + k * dgd_stride + l; + int64_t *H_int_temp = &H_int[(l * wiener_win + k)][0]; + const uint8_t D1 = dgd_ijkl[0]; + const uint8_t D2 = dgd_ijkl[1]; + sumY[k][l] += D1 + D2; + M_int[l][k] += D1 * X1 + D2 * X2; + for (m = 0; m < wiener_win; m++) { + for (n = 0; n < wiener_win; n++) { + H_int_temp[m * 8 + n] += D1 * dgd_ij[n + dgd_stride * m] + + D2 * dgd_ij[n + dgd_stride * m + 1]; + } + } + } + } + } + } + + const double avg_square_sum = avg * avg * pixel_count; + for (k = 0; k < wiener_win; k++) { + for (l = 0; l < wiener_win; l++) { + M[l * wiener_win + k] = + M_int[l][k] + avg_square_sum - avg * (sumX + sumY[k][l]); + for (m = 0; m < wiener_win; m++) { + for (n = 0; n < wiener_win; n++) { + H[(l * wiener_win + k) * wiener_win2 + m * wiener_win + n] = + H_int[(l * wiener_win + k)][n * 8 + m] + avg_square_sum - + avg * (sumY[k][l] + sumY[n][m]); + } + } + } + } +} + +void compute_stats_opt_c(int wiener_win, const uint8_t *dgd, const uint8_t *src, + int h_start, int h_end, int v_start, int v_end, + int dgd_stride, int src_stride, double *M, double *H) { + if (wiener_win == WIENER_WIN || wiener_win == WIENER_WIN_CHROMA) { + compute_stats_win_opt_c(wiener_win, dgd, src, h_start, h_end, v_start, + v_end, dgd_stride, src_stride, M, H); + } else { + av1_compute_stats_c(wiener_win, dgd, src, h_start, h_end, v_start, v_end, + dgd_stride, src_stride, M, H); + } +} + +static const int kIterations = 100; +static const double min_error = (double)(0.01); +typedef void (*compute_stats_Func)(int wiener_win, const uint8_t *dgd, + const uint8_t *src, int h_start, int h_end, + int v_start, int v_end, int dgd_stride, + int src_stride, double *M, double *H); + +typedef libaom_test::FuncParam<compute_stats_Func> TestFuncs; + +//////////////////////////////////////////////////////////////////////////////// +// 8 bit +//////////////////////////////////////////////////////////////////////////////// + +typedef ::testing::tuple<const compute_stats_Func> WienerTestParam; + +class WienerTest : public ::testing::TestWithParam<WienerTestParam> { + public: + virtual void SetUp() { target_func_ = GET_PARAM(0); } + void runWienerTest(const int32_t wiener_win, int32_t run_times); + void runWienerTest_ExtremeValues(const int32_t wiener_win); + + private: + compute_stats_Func target_func_; + ACMRandom rng_; +}; + +void WienerTest::runWienerTest(const int32_t wiener_win, int32_t run_times) { + const int32_t wiener_halfwin = wiener_win >> 1; + const int32_t wiener_win2 = wiener_win * wiener_win; + DECLARE_ALIGNED(32, uint8_t, dgd_buf[MAX_DATA_BLOCK * MAX_DATA_BLOCK]); + DECLARE_ALIGNED(32, uint8_t, src_buf[MAX_DATA_BLOCK * MAX_DATA_BLOCK]); + DECLARE_ALIGNED(32, double, M_ref[WIENER_WIN2]); + DECLARE_ALIGNED(32, double, H_ref[WIENER_WIN2 * WIENER_WIN2]); + DECLARE_ALIGNED(32, double, M_test[WIENER_WIN2]); + DECLARE_ALIGNED(32, double, H_test[WIENER_WIN2 * WIENER_WIN2]); + const int h_start = ((rng_.Rand16() % (MAX_WIENER_BLOCK / 2)) & (~7)); + int h_end = + run_times != 1 ? 256 : ((rng_.Rand16() % MAX_WIENER_BLOCK) & (~7)) + 8; + const int v_start = ((rng_.Rand16() % (MAX_WIENER_BLOCK / 2)) & (~7)); + int v_end = + run_times != 1 ? 256 : ((rng_.Rand16() % MAX_WIENER_BLOCK) & (~7)) + 8; + const int dgd_stride = h_end; + const int src_stride = MAX_DATA_BLOCK; + const int iters = run_times == 1 ? kIterations : 2; + for (int iter = 0; iter < iters && !HasFatalFailure(); ++iter) { + for (int i = 0; i < MAX_DATA_BLOCK * MAX_DATA_BLOCK; ++i) { + dgd_buf[i] = rng_.Rand8(); + src_buf[i] = rng_.Rand8(); + } + uint8_t *dgd = dgd_buf + wiener_halfwin * MAX_DATA_BLOCK + wiener_halfwin; + uint8_t *src = src_buf; + + aom_usec_timer timer; + aom_usec_timer_start(&timer); + for (int i = 0; i < run_times; ++i) { + av1_compute_stats_c(wiener_win, dgd, src, h_start, h_end, v_start, v_end, + dgd_stride, src_stride, M_ref, H_ref); + } + aom_usec_timer_mark(&timer); + const double time1 = static_cast<double>(aom_usec_timer_elapsed(&timer)); + aom_usec_timer_start(&timer); + for (int i = 0; i < run_times; ++i) { + target_func_(wiener_win, dgd, src, h_start, h_end, v_start, v_end, + dgd_stride, src_stride, M_test, H_test); + } + aom_usec_timer_mark(&timer); + const double time2 = static_cast<double>(aom_usec_timer_elapsed(&timer)); + if (run_times > 10) { + printf("win %d %3dx%-3d:%7.2f/%7.2fns", wiener_win, h_end, v_end, time1, + time2); + printf("(%3.2f)\n", time1 / time2); + } + int failed = 0; + for (int i = 0; i < wiener_win2; ++i) { + if (fabs(M_ref[i] - M_test[i]) > min_error) { + failed = 1; + printf("win %d M iter %d [%4d] ref %6.0f test %6.0f \n", wiener_win, + iter, i, M_ref[i], M_test[i]); + break; + } + } + // ASSERT_EQ(failed, 0); + for (int i = 0; i < wiener_win2 * wiener_win2; ++i) { + if (fabs(H_ref[i] - H_test[i]) > min_error) { + failed = 1; + printf("win %d H iter %d [%4d] ref %6.0f test %6.0f \n", wiener_win, + iter, i, H_ref[i], H_test[i]); + break; + } + } + ASSERT_EQ(failed, 0); + } +} + +void WienerTest::runWienerTest_ExtremeValues(const int32_t wiener_win) { + const int32_t wiener_halfwin = wiener_win >> 1; + const int32_t wiener_win2 = wiener_win * wiener_win; + DECLARE_ALIGNED(32, uint8_t, dgd_buf[MAX_DATA_BLOCK * MAX_DATA_BLOCK]); + DECLARE_ALIGNED(32, uint8_t, src_buf[MAX_DATA_BLOCK * MAX_DATA_BLOCK]); + DECLARE_ALIGNED(32, double, M_ref[WIENER_WIN2]); + DECLARE_ALIGNED(32, double, H_ref[WIENER_WIN2 * WIENER_WIN2]); + DECLARE_ALIGNED(32, double, M_test[WIENER_WIN2]); + DECLARE_ALIGNED(32, double, H_test[WIENER_WIN2 * WIENER_WIN2]); + const int h_start = 16; + const int h_end = MAX_WIENER_BLOCK; + const int v_start = 16; + const int v_end = MAX_WIENER_BLOCK; + const int dgd_stride = h_end; + const int src_stride = MAX_DATA_BLOCK; + const int iters = 1; + for (int iter = 0; iter < iters && !HasFatalFailure(); ++iter) { + for (int i = 0; i < MAX_DATA_BLOCK * MAX_DATA_BLOCK; ++i) { + dgd_buf[i] = 255; + src_buf[i] = 255; + } + uint8_t *dgd = dgd_buf + wiener_halfwin * MAX_DATA_BLOCK + wiener_halfwin; + uint8_t *src = src_buf; + + av1_compute_stats_c(wiener_win, dgd, src, h_start, h_end, v_start, v_end, + dgd_stride, src_stride, M_ref, H_ref); + + target_func_(wiener_win, dgd, src, h_start, h_end, v_start, v_end, + dgd_stride, src_stride, M_test, H_test); + + int failed = 0; + for (int i = 0; i < wiener_win2; ++i) { + if (fabs(M_ref[i] - M_test[i]) > min_error) { + failed = 1; + printf("win %d M iter %d [%4d] ref %6.0f test %6.0f \n", wiener_win, + iter, i, M_ref[i], M_test[i]); + break; + } + } + // ASSERT_EQ(failed, 0); + for (int i = 0; i < wiener_win2 * wiener_win2; ++i) { + if (fabs(H_ref[i] - H_test[i]) > min_error) { + failed = 1; + printf("win %d H iter %d [%4d] ref %6.0f test %6.0f \n", wiener_win, + iter, i, H_ref[i], H_test[i]); + break; + } + } + ASSERT_EQ(failed, 0); + } +} + +TEST_P(WienerTest, RandomValues) { + runWienerTest(WIENER_WIN, 1); + runWienerTest(WIENER_WIN_CHROMA, 1); +} + +TEST_P(WienerTest, ExtremeValues) { + runWienerTest_ExtremeValues(WIENER_WIN); + runWienerTest_ExtremeValues(WIENER_WIN_CHROMA); +} + +TEST_P(WienerTest, DISABLED_Speed) { + runWienerTest(WIENER_WIN, 200); + runWienerTest(WIENER_WIN_CHROMA, 200); +} + +INSTANTIATE_TEST_CASE_P(C, WienerTest, ::testing::Values(compute_stats_opt_c)); + +#if HAVE_SSE4_1 +INSTANTIATE_TEST_CASE_P(SSE4_1, WienerTest, + ::testing::Values(av1_compute_stats_sse4_1)); +#endif // HAVE_SSE4_1 + +#if HAVE_AVX2 + +INSTANTIATE_TEST_CASE_P(AVX2, WienerTest, + ::testing::Values(av1_compute_stats_avx2)); +#endif // HAVE_AVX2 + +} // namespace |