| /* | |
| * Copyright 2022 Google LLC | |
| * | |
| * Use of this source code is governed by a BSD-style license that can be | |
| * found in the LICENSE file. | |
| */ | |
| #include "src/core/SkOpts.h" | |
| #include "tests/Test.h" | |
| #include <algorithm> | |
| #include <array> | |
| #include <cstddef> | |
| #define SK_OPTS_NS RPOptsTest | |
| #if defined(__clang__) | |
| #pragma clang diagnostic push | |
| #pragma clang diagnostic ignored "-Wunused-function" | |
| #elif defined(__GNUC__) | |
| #pragma GCC diagnostic push | |
| #pragma GCC diagnostic ignored "-Wunused-function" | |
| #pragma GCC diagnostic ignored "-Wunused-variable" | |
| #endif | |
| #include "src/opts/SkRasterPipeline_opts.h" | |
| #if defined(__clang__) | |
| #pragma clang diagnostic pop | |
| #elif defined(__GNUC__) | |
| #pragma GCC diagnostic pop | |
| #endif | |
| constexpr auto F_ = SK_OPTS_NS::F_; | |
| using F = SK_OPTS_NS::F; | |
| using I32 = SK_OPTS_NS::I32; | |
| template <size_t N> | |
| static std::array<int32_t, N> make_masks(int bits) { | |
| // Make an array of masks that correspond to the bit pattern of `bits`. | |
| std::array<int32_t, N> masks; | |
| for (size_t idx = 0; idx < N; ++idx) { | |
| masks[idx] = (bits & 1) ? ~0 : 0; | |
| bits >>= 1; | |
| } | |
| SkASSERT(!bits); | |
| return masks; | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Any, r) { | |
| static constexpr size_t N = sizeof(I32) / sizeof(int32_t); | |
| for (int value = 0; value < (1 << N); ++value) { | |
| // Load masks corresponding to the bit-pattern of `value` into lanes of `i`. | |
| std::array<int32_t, N> masks = make_masks<N>(value); | |
| I32 i = sk_unaligned_load<I32>(masks.data()); | |
| // Verify that the raster pipeline any() matches expectations. | |
| REPORTER_ASSERT(r, SK_OPTS_NS::any(i) == std::any_of(masks.begin(), masks.end(), | |
| [](int32_t m) { return m != 0; })); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_All, r) { | |
| static constexpr size_t N = sizeof(I32) / sizeof(int32_t); | |
| for (int value = 0; value < (1 << N); ++value) { | |
| // Load masks corresponding to the bit-pattern of `value` into lanes of `i`. | |
| std::array<int32_t, N> masks = make_masks<N>(value); | |
| I32 i = sk_unaligned_load<I32>(masks.data()); | |
| // Verify that the raster pipeline all() matches expectations. | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(i) == std::all_of(masks.begin(), masks.end(), | |
| [](int32_t m) { return m != 0; })); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Sin, r) { | |
| constexpr float Pi = SK_ScalarPI; | |
| constexpr float kTolerance = 0.000875f; | |
| for (float rad = -5*Pi; rad <= 5*Pi; rad += 0.1f) { | |
| F result = SK_OPTS_NS::sin_(F_(rad)); | |
| F expected = F_(std::sin(rad)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Cos, r) { | |
| constexpr float Pi = SK_ScalarPI; | |
| constexpr float kTolerance = 0.000875f; | |
| for (float rad = -5*Pi; rad <= 5*Pi; rad += 0.1f) { | |
| F result = SK_OPTS_NS::cos_(F_(rad)); | |
| F expected = F_(std::cos(rad)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Tan, r) { | |
| // Our tangent diverges more as we get near infinities (x near +- Pi/2), | |
| // so we bring in the domain a little. | |
| constexpr float Pi = SK_ScalarPI; | |
| constexpr float kEpsilon = 0.16f; | |
| constexpr float kTolerance = 0.00175f; | |
| // Test against various multiples of Pi, to check our periodicity | |
| for (float period : {0.0f, -3*Pi, 3*Pi}) { | |
| for (float rad = -Pi/2 + kEpsilon; rad <= Pi/2 - kEpsilon; rad += 0.01f) { | |
| F result = SK_OPTS_NS::tan_(F_(rad + period)); | |
| F expected = F_(std::tan(rad)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Asin, r) { | |
| constexpr float kTolerance = 0.00175f; | |
| for (float x = -1; x <= 1; x += 1.0f/64) { | |
| F result = SK_OPTS_NS::asin_(F_(x)); | |
| F expected = F_(asinf(x)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Acos, r) { | |
| constexpr float kTolerance = 0.00175f; | |
| for (float x = -1; x <= 1; x += 1.0f/64) { | |
| F result = SK_OPTS_NS::acos_(F_(x)); | |
| F expected = F_(acosf(x)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Atan, r) { | |
| constexpr float kTolerance = 0.00175f; | |
| for (float x = -10.0f; x <= 10.0f; x += 0.1f) { | |
| F result = SK_OPTS_NS::atan_(F_(x)); | |
| F expected = F_(atanf(x)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Atan2, r) { | |
| constexpr float kTolerance = 0.00175f; | |
| for (float y = -3.0f; y <= 3.0f; y += 0.1f) { | |
| for (float x = -3.0f; x <= 3.0f; x += 0.1f) { | |
| F result = SK_OPTS_NS::atan2_(F_(y), F_(x)); | |
| F expected = F_(std::atan2(y, x)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Log2, r) { | |
| constexpr float kTolerance = 0.001f; | |
| for (float value : {0.25f, 0.5f, 1.0f, 2.0f, 4.0f, 8.0f}) { | |
| F result = SK_OPTS_NS::approx_log2(F_(value)); | |
| F expected = F_(std::log2(value)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| } | |
| DEF_TEST(SkRasterPipelineOpts_Pow2, r) { | |
| constexpr float kTolerance = 0.001f; | |
| for (float value : {-80, -5, -2, -1, 0, 1, 2, 3, 5}) { | |
| F result = SK_OPTS_NS::approx_pow2(F_(value)); | |
| F expected = F_(std::pow(2.0, value)); | |
| F delta = SK_OPTS_NS::abs_(expected - result); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(delta < kTolerance)); | |
| } | |
| F result = SK_OPTS_NS::approx_pow2(F_(160)); | |
| REPORTER_ASSERT(r, SK_OPTS_NS::all(result == INFINITY)); | |
| } |