Import aom library

This is the reference implementation for the Alliance for Open Media's av1 video code.

The commit used was 4d668d7feb1f8abd809d1bca0418570a7f142a36.

1 files changed, 383 insertions, 0 deletions

diff --git a/third_party/aom/test/av1_wedge_utils_test.cc b/third_party/aom/test/av1_wedge_utils_test.cc
new file mode 100644
index 000000000..d4b560fc1
--- /dev/null
+++ b/third_party/aom/test/av1_wedge_utils_test.cc
@@ -0,0 +1,383 @@
+/*
+ * 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 "third_party/googletest/src/googletest/include/gtest/gtest.h"
+
+#include "./aom_config.h"
+
+#include "./aom_dsp_rtcd.h"
+#include "./av1_rtcd.h"
+
+#include "aom_dsp/aom_dsp_common.h"
+
+#include "av1/common/enums.h"
+
+#include "test/acm_random.h"
+#include "test/function_equivalence_test.h"
+#include "test/register_state_check.h"
+
+#define WEDGE_WEIGHT_BITS 6
+#define MAX_MASK_VALUE (1 << (WEDGE_WEIGHT_BITS))
+
+using libaom_test::ACMRandom;
+using libaom_test::FunctionEquivalenceTest;
+
+namespace {
+
+static const int16_t kInt13Max = (1 << 12) - 1;
+
+//////////////////////////////////////////////////////////////////////////////
+// av1_wedge_sse_from_residuals - functionality
+//////////////////////////////////////////////////////////////////////////////
+
+class WedgeUtilsSSEFuncTest : public testing::Test {
+ protected:
+  WedgeUtilsSSEFuncTest() : rng_(ACMRandom::DeterministicSeed()) {}
+
+  static const int kIterations = 1000;
+
+  ACMRandom rng_;
+};
+
+static void equiv_blend_residuals(int16_t *r, const int16_t *r0,
+                                  const int16_t *r1, const uint8_t *m, int N) {
+  for (int i = 0; i < N; i++) {
+    const int32_t m0 = m[i];
+    const int32_t m1 = MAX_MASK_VALUE - m0;
+    const int16_t R = m0 * r0[i] + m1 * r1[i];
+    // Note that this rounding is designed to match the result
+    // you would get when actually blending the 2 predictors and computing
+    // the residuals.
+    r[i] = ROUND_POWER_OF_TWO(R - 1, WEDGE_WEIGHT_BITS);
+  }
+}
+
+static uint64_t equiv_sse_from_residuals(const int16_t *r0, const int16_t *r1,
+                                         const uint8_t *m, int N) {
+  uint64_t acc = 0;
+  for (int i = 0; i < N; i++) {
+    const int32_t m0 = m[i];
+    const int32_t m1 = MAX_MASK_VALUE - m0;
+    const int16_t R = m0 * r0[i] + m1 * r1[i];
+    const int32_t r = ROUND_POWER_OF_TWO(R - 1, WEDGE_WEIGHT_BITS);
+    acc += r * r;
+  }
+  return acc;
+}
+
+TEST_F(WedgeUtilsSSEFuncTest, ResidualBlendingEquiv) {
+  DECLARE_ALIGNED(32, uint8_t, s[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, p0[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, p1[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, p[MAX_SB_SQUARE]);
+
+  DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, r_ref[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, r_tst[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
+
+  for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+      s[i] = rng_.Rand8();
+      m[i] = rng_(MAX_MASK_VALUE + 1);
+    }
+
+    const int w = 1 << (rng_(MAX_SB_SIZE_LOG2 + 1 - 3) + 3);
+    const int h = 1 << (rng_(MAX_SB_SIZE_LOG2 + 1 - 3) + 3);
+    const int N = w * h;
+
+    for (int j = 0; j < N; j++) {
+      p0[j] = clamp(s[j] + rng_(33) - 16, 0, UINT8_MAX);
+      p1[j] = clamp(s[j] + rng_(33) - 16, 0, UINT8_MAX);
+    }
+
+    aom_blend_a64_mask(p, w, p0, w, p1, w, m, w, h, w, 0, 0);
+
+    aom_subtract_block(h, w, r0, w, s, w, p0, w);
+    aom_subtract_block(h, w, r1, w, s, w, p1, w);
+
+    aom_subtract_block(h, w, r_ref, w, s, w, p, w);
+    equiv_blend_residuals(r_tst, r0, r1, m, N);
+
+    for (int i = 0; i < N; ++i) ASSERT_EQ(r_ref[i], r_tst[i]);
+
+    uint64_t ref_sse = aom_sum_squares_i16(r_ref, N);
+    uint64_t tst_sse = equiv_sse_from_residuals(r0, r1, m, N);
+
+    ASSERT_EQ(ref_sse, tst_sse);
+  }
+}
+
+static uint64_t sse_from_residuals(const int16_t *r0, const int16_t *r1,
+                                   const uint8_t *m, int N) {
+  uint64_t acc = 0;
+  for (int i = 0; i < N; i++) {
+    const int32_t m0 = m[i];
+    const int32_t m1 = MAX_MASK_VALUE - m0;
+    const int32_t r = m0 * r0[i] + m1 * r1[i];
+    acc += r * r;
+  }
+  return ROUND_POWER_OF_TWO(acc, 2 * WEDGE_WEIGHT_BITS);
+}
+
+TEST_F(WedgeUtilsSSEFuncTest, ResidualBlendingMethod) {
+  DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, d[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
+
+  for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+      r1[i] = rng_(2 * INT8_MAX - 2 * INT8_MIN + 1) + 2 * INT8_MIN;
+      d[i] = rng_(2 * INT8_MAX - 2 * INT8_MIN + 1) + 2 * INT8_MIN;
+      m[i] = rng_(MAX_MASK_VALUE + 1);
+    }
+
+    const int N = 64 * (rng_(MAX_SB_SQUARE / 64) + 1);
+
+    for (int i = 0; i < N; i++) r0[i] = r1[i] + d[i];
+
+    const uint64_t ref_res = sse_from_residuals(r0, r1, m, N);
+    const uint64_t tst_res = av1_wedge_sse_from_residuals(r1, d, m, N);
+
+    ASSERT_EQ(ref_res, tst_res);
+  }
+}
+
+//////////////////////////////////////////////////////////////////////////////
+// av1_wedge_sse_from_residuals - optimizations
+//////////////////////////////////////////////////////////////////////////////
+
+typedef uint64_t (*FSSE)(const int16_t *r1, const int16_t *d, const uint8_t *m,
+                         int N);
+typedef libaom_test::FuncParam<FSSE> TestFuncsFSSE;
+
+class WedgeUtilsSSEOptTest : public FunctionEquivalenceTest<FSSE> {
+ protected:
+  static const int kIterations = 10000;
+};
+
+TEST_P(WedgeUtilsSSEOptTest, RandomValues) {
+  DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, d[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
+
+  for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+      r1[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
+      d[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
+      m[i] = rng_(MAX_MASK_VALUE + 1);
+    }
+
+    const int N = 64 * (rng_(MAX_SB_SQUARE / 64) + 1);
+
+    const uint64_t ref_res = params_.ref_func(r1, d, m, N);
+    uint64_t tst_res;
+    ASM_REGISTER_STATE_CHECK(tst_res = params_.tst_func(r1, d, m, N));
+
+    ASSERT_EQ(ref_res, tst_res);
+  }
+}
+
+TEST_P(WedgeUtilsSSEOptTest, ExtremeValues) {
+  DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, d[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
+
+  for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
+    if (rng_(2)) {
+      for (int i = 0; i < MAX_SB_SQUARE; ++i) r1[i] = kInt13Max;
+    } else {
+      for (int i = 0; i < MAX_SB_SQUARE; ++i) r1[i] = -kInt13Max;
+    }
+
+    if (rng_(2)) {
+      for (int i = 0; i < MAX_SB_SQUARE; ++i) d[i] = kInt13Max;
+    } else {
+      for (int i = 0; i < MAX_SB_SQUARE; ++i) d[i] = -kInt13Max;
+    }
+
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) m[i] = MAX_MASK_VALUE;
+
+    const int N = 64 * (rng_(MAX_SB_SQUARE / 64) + 1);
+
+    const uint64_t ref_res = params_.ref_func(r1, d, m, N);
+    uint64_t tst_res;
+    ASM_REGISTER_STATE_CHECK(tst_res = params_.tst_func(r1, d, m, N));
+
+    ASSERT_EQ(ref_res, tst_res);
+  }
+}
+
+#if HAVE_SSE2
+INSTANTIATE_TEST_CASE_P(
+    SSE2, WedgeUtilsSSEOptTest,
+    ::testing::Values(TestFuncsFSSE(av1_wedge_sse_from_residuals_c,
+                                    av1_wedge_sse_from_residuals_sse2)));
+
+#endif  // HAVE_SSE2
+
+//////////////////////////////////////////////////////////////////////////////
+// av1_wedge_sign_from_residuals
+//////////////////////////////////////////////////////////////////////////////
+
+typedef int (*FSign)(const int16_t *ds, const uint8_t *m, int N, int64_t limit);
+typedef libaom_test::FuncParam<FSign> TestFuncsFSign;
+
+class WedgeUtilsSignOptTest : public FunctionEquivalenceTest<FSign> {
+ protected:
+  static const int kIterations = 10000;
+  static const int kMaxSize = 8196;  // Size limited by SIMD implementation.
+};
+
+TEST_P(WedgeUtilsSignOptTest, RandomValues) {
+  DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, ds[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
+
+  for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+      r0[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
+      r1[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
+      m[i] = rng_(MAX_MASK_VALUE + 1);
+    }
+
+    const int maxN = AOMMIN(kMaxSize, MAX_SB_SQUARE);
+    const int N = 64 * (rng_(maxN / 64 - 1) + 1);
+
+    int64_t limit;
+    limit = (int64_t)aom_sum_squares_i16(r0, N);
+    limit -= (int64_t)aom_sum_squares_i16(r1, N);
+    limit *= (1 << WEDGE_WEIGHT_BITS) / 2;
+
+    for (int i = 0; i < N; i++)
+      ds[i] = clamp(r0[i] * r0[i] - r1[i] * r1[i], INT16_MIN, INT16_MAX);
+
+    const int ref_res = params_.ref_func(ds, m, N, limit);
+    int tst_res;
+    ASM_REGISTER_STATE_CHECK(tst_res = params_.tst_func(ds, m, N, limit));
+
+    ASSERT_EQ(ref_res, tst_res);
+  }
+}
+
+TEST_P(WedgeUtilsSignOptTest, ExtremeValues) {
+  DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, ds[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
+
+  for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
+    switch (rng_(4)) {
+      case 0:
+        for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+          r0[i] = 0;
+          r1[i] = kInt13Max;
+        }
+        break;
+      case 1:
+        for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+          r0[i] = kInt13Max;
+          r1[i] = 0;
+        }
+        break;
+      case 2:
+        for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+          r0[i] = 0;
+          r1[i] = -kInt13Max;
+        }
+        break;
+      default:
+        for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+          r0[i] = -kInt13Max;
+          r1[i] = 0;
+        }
+        break;
+    }
+
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) m[i] = MAX_MASK_VALUE;
+
+    const int maxN = AOMMIN(kMaxSize, MAX_SB_SQUARE);
+    const int N = 64 * (rng_(maxN / 64 - 1) + 1);
+
+    int64_t limit;
+    limit = (int64_t)aom_sum_squares_i16(r0, N);
+    limit -= (int64_t)aom_sum_squares_i16(r1, N);
+    limit *= (1 << WEDGE_WEIGHT_BITS) / 2;
+
+    for (int i = 0; i < N; i++)
+      ds[i] = clamp(r0[i] * r0[i] - r1[i] * r1[i], INT16_MIN, INT16_MAX);
+
+    const int ref_res = params_.ref_func(ds, m, N, limit);
+    int tst_res;
+    ASM_REGISTER_STATE_CHECK(tst_res = params_.tst_func(ds, m, N, limit));
+
+    ASSERT_EQ(ref_res, tst_res);
+  }
+}
+
+#if HAVE_SSE2
+
+INSTANTIATE_TEST_CASE_P(
+    SSE2, WedgeUtilsSignOptTest,
+    ::testing::Values(TestFuncsFSign(av1_wedge_sign_from_residuals_c,
+                                     av1_wedge_sign_from_residuals_sse2)));
+
+#endif  // HAVE_SSE2
+
+//////////////////////////////////////////////////////////////////////////////
+// av1_wedge_compute_delta_squares
+//////////////////////////////////////////////////////////////////////////////
+
+typedef void (*FDS)(int16_t *d, const int16_t *a, const int16_t *b, int N);
+typedef libaom_test::FuncParam<FDS> TestFuncsFDS;
+
+class WedgeUtilsDeltaSquaresOptTest : public FunctionEquivalenceTest<FDS> {
+ protected:
+  static const int kIterations = 10000;
+};
+
+TEST_P(WedgeUtilsDeltaSquaresOptTest, RandomValues) {
+  DECLARE_ALIGNED(32, int16_t, a[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, b[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, d_ref[MAX_SB_SQUARE]);
+  DECLARE_ALIGNED(32, int16_t, d_tst[MAX_SB_SQUARE]);
+
+  for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) {
+      a[i] = rng_.Rand16();
+      b[i] = rng_(2 * INT16_MAX + 1) - INT16_MAX;
+    }
+
+    const int N = 64 * (rng_(MAX_SB_SQUARE / 64) + 1);
+
+    memset(&d_ref, INT16_MAX, sizeof(d_ref));
+    memset(&d_tst, INT16_MAX, sizeof(d_tst));
+
+    params_.ref_func(d_ref, a, b, N);
+    ASM_REGISTER_STATE_CHECK(params_.tst_func(d_tst, a, b, N));
+
+    for (int i = 0; i < MAX_SB_SQUARE; ++i) ASSERT_EQ(d_ref[i], d_tst[i]);
+  }
+}
+
+#if HAVE_SSE2
+
+INSTANTIATE_TEST_CASE_P(
+    SSE2, WedgeUtilsDeltaSquaresOptTest,
+    ::testing::Values(TestFuncsFDS(av1_wedge_compute_delta_squares_c,
+                                   av1_wedge_compute_delta_squares_sse2)));
+
+#endif  // HAVE_SSE2
+
+}  // namespace