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diff --git a/media/libaom/src/test/wiener_test.cc b/media/libaom/src/test/wiener_test.cc
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+/*
+ * 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