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// Copyright 2021 The libgav1 Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "src/dsp/loop_restoration.h"
#include <algorithm>
#include <cstdint>
#include <cstring>
#include <string>
#include "absl/strings/match.h"
#include "absl/time/clock.h"
#include "absl/time/time.h"
#include "gtest/gtest.h"
#include "src/dsp/common.h"
#include "src/dsp/dsp.h"
#include "src/utils/common.h"
#include "src/utils/constants.h"
#include "src/utils/cpu.h"
#include "src/utils/memory.h"
#include "tests/block_utils.h"
#include "tests/third_party/libvpx/acm_random.h"
#include "tests/utils.h"
namespace libgav1 {
namespace dsp {
namespace {
// in unit of Pixel.
constexpr int kBorder = 16;
constexpr int kWidth = 256;
constexpr int kHeight = 255;
constexpr int kStride = kWidth + 2 * kBorder;
constexpr int kOffset = kBorder * kStride + kBorder;
constexpr int kMaxBlockSize = 288 * kStride;
constexpr int kUnitWidths[] = {32, 64, 128, 256};
constexpr int kNumRadiusTypes = 3;
constexpr int kNumWienerOrders = 4;
constexpr int kWienerOrders[] = {7, 5, 3, 1};
constexpr int kWienerOrderIdLookup[] = {0, 3, 0, 2, 0, 1, 0, 0};
template <int bitdepth, typename Pixel>
class SelfGuidedFilterTest : public testing::TestWithParam<int>,
public test_utils::MaxAlignedAllocable {
public:
static_assert(bitdepth >= kBitdepth8 && bitdepth <= LIBGAV1_MAX_BITDEPTH, "");
SelfGuidedFilterTest() = default;
SelfGuidedFilterTest(const SelfGuidedFilterTest&) = delete;
SelfGuidedFilterTest& operator=(const SelfGuidedFilterTest&) = delete;
~SelfGuidedFilterTest() override = default;
void SetUp() override {
test_utils::ResetDspTable(bitdepth);
LoopRestorationInit_C();
const testing::TestInfo* const test_info =
testing::UnitTest::GetInstance()->current_test_info();
const char* const test_case = test_info->test_suite_name();
if (absl::StartsWith(test_case, "C/")) {
} else if (absl::StartsWith(test_case, "AVX2/")) {
if ((GetCpuInfo() & kAVX2) != 0) {
LoopRestorationInit_AVX2();
#if LIBGAV1_MAX_BITDEPTH >= 10
LoopRestorationInit10bpp_AVX2();
#endif
}
} else if (absl::StartsWith(test_case, "SSE41/")) {
if ((GetCpuInfo() & kSSE4_1) != 0) {
LoopRestorationInit_SSE4_1();
#if LIBGAV1_MAX_BITDEPTH >= 10
LoopRestorationInit10bpp_SSE4_1();
#endif
}
} else if (absl::StartsWith(test_case, "NEON/")) {
LoopRestorationInit_NEON();
#if LIBGAV1_MAX_BITDEPTH >= 10
LoopRestorationInit10bpp_NEON();
#endif
} else {
FAIL() << "Unrecognized architecture prefix in test case name: "
<< test_case;
}
const Dsp* const dsp = GetDspTable(bitdepth);
ASSERT_NE(dsp, nullptr);
target_self_guided_filter_func_ = dsp->loop_restorations[1];
restoration_info_.type = kLoopRestorationTypeSgrProj;
memset(dst_, 0, sizeof(dst_));
}
void SetInputData(int type, Pixel value, int radius_index,
libvpx_test::ACMRandom* rnd);
void TestFixedValues(int test_index, Pixel value);
void TestRandomValues(bool speed);
protected:
const int unit_width_ = GetParam();
const int unit_height_ = kRestorationUnitHeight;
private:
alignas(kMaxAlignment) Pixel src_[kMaxBlockSize];
alignas(kMaxAlignment) Pixel dst_[kMaxBlockSize];
RestorationUnitInfo restoration_info_;
RestorationBuffer restoration_buffer_;
LoopRestorationFunc target_self_guided_filter_func_;
};
template <int bitdepth, typename Pixel>
void SelfGuidedFilterTest<bitdepth, Pixel>::SetInputData(
int type, Pixel value, int radius_index,
libvpx_test::ACMRandom* const rnd) {
const int mask = (1 << bitdepth) - 1;
if (type == 0) { // Set fixed values
for (auto& s : src_) s = value;
} else { // Set random values
for (auto& s : src_) s = rnd->Rand16() & mask;
}
for (auto& d : dst_) d = rnd->Rand16() & mask;
restoration_info_.sgr_proj_info.multiplier[0] =
kSgrProjMultiplierMin[0] +
rnd->PseudoUniform(kSgrProjMultiplierMax[0] - kSgrProjMultiplierMin[0] +
1);
restoration_info_.sgr_proj_info.multiplier[1] =
kSgrProjMultiplierMin[1] +
rnd->PseudoUniform(kSgrProjMultiplierMax[1] - kSgrProjMultiplierMin[1] +
1);
// regulate multiplier so that it matches libaom.
// Valid self-guided filter doesn't allow r0 and r1 to be 0 at the same time.
// When r0 or r1 is zero, its corresponding multiplier is set to zero in
// libaom.
int index;
if (radius_index == 0) {
index = 0; // r0 = 2, r1 = 1
} else if (radius_index == 1) {
index = 10; // r0 = 0, r1 = 1
} else /* if (radius_index == 2) */ {
index = 14; // r0 = 2, r1 = 0
}
const uint8_t r0 = kSgrProjParams[index][0];
const uint8_t r1 = kSgrProjParams[index][2];
static constexpr int kMultiplier[2] = {0, 95};
restoration_info_.sgr_proj_info.index = index;
if (r0 == 0) {
restoration_info_.sgr_proj_info.multiplier[0] = kMultiplier[0];
} else if (r1 == 0) {
restoration_info_.sgr_proj_info.multiplier[1] = kMultiplier[1];
}
}
template <int bitdepth, typename Pixel>
void SelfGuidedFilterTest<bitdepth, Pixel>::TestFixedValues(int test_index,
Pixel value) {
static const char* const kDigest[][3][kNumRadiusTypes] = {
{{"7b78783ff4f03625a50c2ebfd574adca", "4faa0810639016f11a9f761ce28c38b0",
"a03314fc210bee68c7adbb44d2bbdac7"},
{"fce031d1339cfef5016e76a643538a71", "d439e1060de3f07b5b29c9b0b7c08e54",
"a6583fe9359877f4a259c81d900fc4fb"},
{"8f9b6944c8965f34d444a667da3b0ebe", "84fa62c491c67c3a435fd5140e7a4f82",
"d04b62d97228789e5c6928d40d5d900e"}},
{{"948ea16a90c4cefef87ce5b0ee105fc6", "76740629877b721432b84dbbdb4e352a",
"27100f37b3e42a5f2a051e1566edb6f8"},
{"dd320de3bc82f4ba69738b2190ea9f85", "bf82f271e30a1aca91e53b086e133fb3",
"69c274ac59c99999e1bfbf2fc4586ebd"},
{"86ff2318bf8a584b8d5edd710681d621", "f6e1c104a764d6766cc278d5b216855a",
"6d928703526ab114efba865ff5b11886"}},
{{"9fbf1b246011250f38532a543cc6dd74", "d5c1e0142390ebb51b075c49f8ee9ff4",
"92f31086ba2f9e1508983b22d93a4e5c"},
{"2198321e6b95e7199738e60f5ddc6966", "34f74626027ffca010c824ddf0942b13",
"43dd7df2c2a601262c68cd8af1c61b82"},
{"1ab6138c3a82ac8ccd840f0553fdfb58", "be3bf92633f7165d3ad9c327d2dd53fe",
"41115efff3adeb541e04db23faa22f23"}},
{{"42364ff8dbdbd6706fa3b8855a4258be", "a7843fdfd4d3c0d80ba812b353b4d6b4",
"f8a6a025827f29f857bed3e28ba3ea33"},
{"b83c1f8d7712e37f9b21b033822e37ed", "589daf2e3e6f8715873920515cfc1b42",
"20dcbe8e317a4373bebf11d56adc5f02"},
{"7971a60337fcdb662c92db051bd0bb41", "75f89f346c2a37bf0c6695c0482531e6",
"1595eeacd62cdce4d2fb094534c22c1e"}}};
if (target_self_guided_filter_func_ == nullptr) return;
ASSERT_LT(value, 1 << bitdepth);
constexpr int bd_index = (bitdepth - 8) / 2;
libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed());
const Pixel* const src = src_ + kOffset;
Pixel* const dst = dst_ + kOffset;
for (int radius_index = 0; radius_index < kNumRadiusTypes; ++radius_index) {
SetInputData(0, value, radius_index, &rnd);
const absl::Time start = absl::Now();
for (int y = 0; y < kHeight; y += unit_height_) {
const int height = std::min(unit_height_, kHeight - y);
for (int x = 0; x < kWidth; x += unit_width_) {
const int width = std::min(unit_width_, kWidth - x);
const Pixel* const source = src + y * kStride + x;
target_self_guided_filter_func_(
restoration_info_, source, kStride,
source - kRestorationVerticalBorder * kStride, kStride,
source + height * kStride, kStride, width, height,
&restoration_buffer_, dst + y * kStride + x);
}
}
const absl::Duration elapsed_time = absl::Now() - start;
test_utils::CheckMd5Digest(
"kLoopRestorationTypeSgrProj", std::to_string(GetParam()).c_str(),
kDigest[test_index][bd_index][radius_index], dst_ + kBorder * kStride,
kHeight * kStride * sizeof(*dst_), elapsed_time);
}
}
template <int bitdepth, typename Pixel>
void SelfGuidedFilterTest<bitdepth, Pixel>::TestRandomValues(bool speed) {
static const char* const kDigest[][3][kNumRadiusTypes] = {
{{"9f8358ed820943fa0abe3a8ebb5887db", "fb5d48870165522341843bcbfa8674fb",
"ca67159cd29475ac5d52ca4a0df3ea10"},
{"a78641886ea0cf8757057d1d91e01434", "1b95172a5f2f9c514c78afa4cf8e5678",
"a8ba988283d9e1ad1f0dcdbf6bbdaade"},
{"d95e98d031f9ba290e5183777d1e4905", "f806853cfadb50e6dbd4898412b92934",
"741fbfdb79cda695afedda3d51dbb27f"}},
{{"f219b445e5c80ffb5dd0359cc2cb4dd4", "699b2c9ddca1cbb0d4fc24cbcbe951e9",
"a4005899fa8d3c3c4669910f93ff1290"},
{"10a75cab3c78b891c8c6d92d55f685d1", "d46f158f57c628136f6f298ee8ca6e0e",
"07203ad761775d5d317f2b7884afd9fe"},
{"76b9ef906090fa81af64cce3bba0a54a", "8eecc59acdef8953aa9a96648c0ccd2c",
"6e45a0ef60e0475f470dc93552047f07"}},
{{"000d4e382be4003b514c9135893d0a37", "8fb082dca975be363bfc9c2d317ae084",
"475bcb6a58f87da7723f6227bc2aca0e"},
{"4d589683f69ccc5b416149dcc5c835d5", "986b6832df1f6020d50be61ae121e42f",
"7cb5c5dbdb3d1c54cfa00def450842dc"},
{"0e3dc23150d18c9d366d15e174727311", "8495122917770d822f1842ceff987b03",
"4aeb9db902072cefd6af0aff8aaabd24"}},
{{"fd43bfe34d63614554dd29fb24b12173", "5c1ba74ba3062c769d5c3c86a85ac9b9",
"f1eda6d15b37172199d9949c2315832f"},
{"a11be3117fb77e8fe113581b06f98bd1", "df94d12b774ad5cf744c871e707c36c8",
"b23dc0b54c3500248d53377030428a61"},
{"9c331f2b9410354685fe904f6c022dfa", "b540b0045b7723fbe962fd675db4b077",
"3cecd1158126c9c9cc2873ecc8c1a135"}},
{{"f3079b3b21d8dc6fce7bb1fd104be359", "c6fcbc686cfb97ab3a64f445d73aad36",
"23966cba3e0e7803eeb951905861e0dd"},
{"7210391a6fe26e5ca5ea205bc38aa035", "4c3e6eccad3ea152d320ecd1077169de",
"dcee48f94126a2132963e86e93dd4903"},
{"beb3dd8a2dbc5f83ef171b0ffcead3ab", "c373bd9c46bdb89a3d1e41759c315025",
"cd407b212ab46fd4a451d5dc93a0ce4a"}}};
if (target_self_guided_filter_func_ == nullptr) return;
constexpr int bd_index = (bitdepth - 8) / 2;
const int num_inputs = speed ? 1 : 5;
#if LIBGAV1_ENABLE_NEON
const int num_tests = speed ? 4000 : 1;
#else
const int num_tests = speed ? 10000 : 1;
#endif
libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed());
const Pixel* const src = src_ + kOffset;
Pixel* const dst = dst_ + kOffset;
for (int i = 0; i < num_inputs; ++i) {
for (int radius_index = 0; radius_index < kNumRadiusTypes; ++radius_index) {
SetInputData(1, 0, radius_index, &rnd);
const absl::Time start = absl::Now();
for (int k = 0; k < num_tests; ++k) {
for (int y = 0; y < kHeight; y += unit_height_) {
const int height = std::min(unit_height_, kHeight - y);
for (int x = 0; x < kWidth; x += unit_width_) {
const int width = std::min(unit_width_, kWidth - x);
const Pixel* const source = src + y * kStride + x;
target_self_guided_filter_func_(
restoration_info_, source, kStride,
source - kRestorationVerticalBorder * kStride, kStride,
source + height * kStride, kStride, width, height,
&restoration_buffer_, dst + y * kStride + x);
}
}
}
const absl::Duration elapsed_time = absl::Now() - start;
test_utils::CheckMd5Digest(
"kLoopRestorationTypeSgrProj", std::to_string(GetParam()).c_str(),
kDigest[i][bd_index][radius_index], dst_ + kBorder * kStride,
kHeight * kStride * sizeof(*dst_), elapsed_time);
}
}
}
using SelfGuidedFilterTest8bpp = SelfGuidedFilterTest<8, uint8_t>;
TEST_P(SelfGuidedFilterTest8bpp, Correctness) {
TestFixedValues(0, 0);
TestFixedValues(1, 1);
TestFixedValues(2, 128);
TestFixedValues(3, 255);
TestRandomValues(false);
}
TEST_P(SelfGuidedFilterTest8bpp, DISABLED_Speed) { TestRandomValues(true); }
INSTANTIATE_TEST_SUITE_P(C, SelfGuidedFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#if LIBGAV1_ENABLE_AVX2
INSTANTIATE_TEST_SUITE_P(AVX2, SelfGuidedFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_SSE4_1
INSTANTIATE_TEST_SUITE_P(SSE41, SelfGuidedFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_NEON
INSTANTIATE_TEST_SUITE_P(NEON, SelfGuidedFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_MAX_BITDEPTH >= 10
using SelfGuidedFilterTest10bpp = SelfGuidedFilterTest<10, uint16_t>;
TEST_P(SelfGuidedFilterTest10bpp, Correctness) {
TestFixedValues(0, 0);
TestFixedValues(1, 1);
TestFixedValues(2, 512);
TestFixedValues(3, 1023);
TestRandomValues(false);
}
TEST_P(SelfGuidedFilterTest10bpp, DISABLED_Speed) { TestRandomValues(true); }
INSTANTIATE_TEST_SUITE_P(C, SelfGuidedFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#if LIBGAV1_ENABLE_AVX2
INSTANTIATE_TEST_SUITE_P(AVX2, SelfGuidedFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_SSE4_1
INSTANTIATE_TEST_SUITE_P(SSE41, SelfGuidedFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_NEON
INSTANTIATE_TEST_SUITE_P(NEON, SelfGuidedFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#endif
#endif // LIBGAV1_MAX_BITDEPTH >= 10
#if LIBGAV1_MAX_BITDEPTH == 12
using SelfGuidedFilterTest12bpp = SelfGuidedFilterTest<12, uint16_t>;
TEST_P(SelfGuidedFilterTest12bpp, Correctness) {
TestFixedValues(0, 0);
TestFixedValues(1, 1);
TestFixedValues(2, 2048);
TestFixedValues(3, 4095);
TestRandomValues(false);
}
TEST_P(SelfGuidedFilterTest12bpp, DISABLED_Speed) { TestRandomValues(true); }
INSTANTIATE_TEST_SUITE_P(C, SelfGuidedFilterTest12bpp,
testing::ValuesIn(kUnitWidths));
#endif // LIBGAV1_MAX_BITDEPTH == 12
template <int bitdepth, typename Pixel>
class WienerFilterTest : public testing::TestWithParam<int>,
public test_utils::MaxAlignedAllocable {
public:
static_assert(bitdepth >= kBitdepth8 && bitdepth <= LIBGAV1_MAX_BITDEPTH, "");
WienerFilterTest() = default;
WienerFilterTest(const WienerFilterTest&) = delete;
WienerFilterTest& operator=(const WienerFilterTest&) = delete;
~WienerFilterTest() override = default;
void SetUp() override {
test_utils::ResetDspTable(bitdepth);
LoopRestorationInit_C();
const Dsp* const dsp = GetDspTable(bitdepth);
ASSERT_NE(dsp, nullptr);
base_wiener_filter_func_ = dsp->loop_restorations[0];
const testing::TestInfo* const test_info =
testing::UnitTest::GetInstance()->current_test_info();
const char* const test_case = test_info->test_suite_name();
if (absl::StartsWith(test_case, "C/")) {
} else if (absl::StartsWith(test_case, "AVX2/")) {
if ((GetCpuInfo() & kAVX2) != 0) {
LoopRestorationInit_AVX2();
#if LIBGAV1_MAX_BITDEPTH >= 10
LoopRestorationInit10bpp_AVX2();
#endif
}
} else if (absl::StartsWith(test_case, "SSE41/")) {
if ((GetCpuInfo() & kSSE4_1) != 0) {
LoopRestorationInit_SSE4_1();
#if LIBGAV1_MAX_BITDEPTH >= 10
LoopRestorationInit10bpp_SSE4_1();
#endif
}
} else if (absl::StartsWith(test_case, "NEON/")) {
LoopRestorationInit_NEON();
#if LIBGAV1_MAX_BITDEPTH >= 10
LoopRestorationInit10bpp_NEON();
#endif
} else {
FAIL() << "Unrecognized architecture prefix in test case name: "
<< test_case;
}
target_wiener_filter_func_ = dsp->loop_restorations[0];
restoration_info_.type = kLoopRestorationTypeWiener;
memset(dst_, 0, sizeof(dst_));
memset(tmp_, 0, sizeof(tmp_));
memset(buffer_, 0, sizeof(buffer_));
}
static void CleanFilterByOrder(const int order,
int16_t filter[kWienerFilterTaps]) {
if (order <= 5) filter[0] = 0;
if (order <= 3) filter[1] = 0;
if (order <= 1) filter[2] = 0;
}
void SetInputData(int type, Pixel value, int vertical_order,
int horizontal_order);
void TestFixedValues(int digest_id, Pixel value);
void TestRandomValues(bool speed);
void TestCompare2C();
protected:
const int unit_width_ = GetParam();
const int unit_height_ = kRestorationUnitHeight;
private:
alignas(kMaxAlignment)
uint16_t buffer_[(kRestorationUnitWidth + kWienerFilterTaps - 1) *
kRestorationUnitHeight];
alignas(kMaxAlignment) Pixel src_[kMaxBlockSize];
alignas(kMaxAlignment) Pixel dst_[kMaxBlockSize];
alignas(kMaxAlignment) Pixel tmp_[kMaxBlockSize];
RestorationUnitInfo restoration_info_;
RestorationBuffer restoration_buffer_;
LoopRestorationFunc base_wiener_filter_func_;
LoopRestorationFunc target_wiener_filter_func_;
};
template <int bitdepth, typename Pixel>
void WienerFilterTest<bitdepth, Pixel>::SetInputData(
int type, Pixel value, const int vertical_order,
const int horizontal_order) {
const int mask = (1 << bitdepth) - 1;
libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed());
if (type == 0) {
for (auto& s : src_) s = value;
} else {
for (auto& s : src_) s = rnd.Rand16() & mask;
}
int order = vertical_order;
for (int i = WienerInfo::kVertical; i <= WienerInfo::kHorizontal; ++i) {
auto& filter = restoration_info_.wiener_info.filter[i];
filter[3] = 128;
for (int j = 0; j < 3; ++j) {
filter[j] = kWienerTapsMin[j] +
rnd.PseudoUniform(kWienerTapsMax[j] - kWienerTapsMin[j] + 1);
}
CleanFilterByOrder(order, filter);
filter[3] -= 2 * (filter[0] + filter[1] + filter[2]);
restoration_info_.wiener_info.number_leading_zero_coefficients[i] =
(kWienerFilterTaps - order) / 2;
order = horizontal_order;
}
}
template <int bitdepth, typename Pixel>
void WienerFilterTest<bitdepth, Pixel>::TestFixedValues(int digest_id,
Pixel value) {
static const char* const kDigest[3][4] = {
{"74fc90760a14b13340cb718f200ba350", "5bacaca0128cd36f4805330b3787771d",
"1109e17545cc4fbd5810b8b77e19fc36", "e7f914ec9d065aba92338016e17a526c"},
{"c8cc38790ceb0bea1eb989686755e1e5", "70f573b7e8875262c638a68d2f317916",
"193b19065899c835cb513149eb36d135", "f1dff65e3e53558b303ef0a2e3f3ba98"},
{"c8cc38790ceb0bea1eb989686755e1e5", "70f573b7e8875262c638a68d2f317916",
"961eeb92bd9d85eb47e3961ee93d279a", "039a279232bc90eebc0ec2fe3e18a7e1"},
};
if (target_wiener_filter_func_ == nullptr) return;
ASSERT_LT(value, 1 << bitdepth);
constexpr int bd_index = (bitdepth - 8) / 2;
const Pixel* const src = src_ + kOffset;
Pixel* const dst = dst_ + kOffset;
for (const auto vertical_order : kWienerOrders) {
for (const auto horizontal_order : kWienerOrders) {
SetInputData(0, value, vertical_order, horizontal_order);
memset(dst_, 0, sizeof(dst_));
const absl::Time start = absl::Now();
for (int y = 0; y < kHeight; y += unit_height_) {
const int height = std::min(unit_height_, kHeight - y);
for (int x = 0; x < kWidth; x += unit_width_) {
const int width = std::min(unit_width_, kWidth - x);
const Pixel* const source = src + y * kStride + x;
target_wiener_filter_func_(
restoration_info_, source, kStride,
source - kRestorationVerticalBorder * kStride, kStride,
source + height * kStride, kStride, width, height,
&restoration_buffer_, dst + y * kStride + x);
}
}
const absl::Duration elapsed_time = absl::Now() - start;
test_utils::CheckMd5Digest(
"kLoopRestorationTypeWiener", std::to_string(GetParam()).c_str(),
kDigest[bd_index][digest_id], dst_, sizeof(dst_), elapsed_time);
}
}
}
template <int bitdepth, typename Pixel>
void WienerFilterTest<bitdepth, Pixel>::TestRandomValues(bool speed) {
static const char* const kDigest[3][kNumWienerOrders][kNumWienerOrders] = {
{{"40d0cf56d2ffb4f581e68b0fc97f547f", "5c04745209b684ba98004ebb0f64e70b",
"545ed7d3f7e7ca3b86b4ada31f7aaee7", "0d6b2967f1bd1d99b720e563fe0cf03f"},
{"44b37076f0cf27f6eb506aca50c1d3e4", "e927d64dc9249e05a65e10ee75baa7d9",
"6136ecb4e29b17c9566504148943fd47", "c5ee2da81d44dc8cb2ac8021f724eb7a"},
{"125cbb227313ec91a2683f26e6f049d1", "77671b6529c806d23b749f304b548f59",
"28d53a1b486881895b8f73fa64486df1", "f5e32165bafe575d7ee7a6fbae75f36d"},
{"e832c41f2566ab542b32abba9d4f27bd", "ab1336ee6b85cba651f35ee5d3b3cc5c",
"52a673b6d14fbdca5ebdb1a34ee3326f",
"ebb42c7c9111f2e39f21e2158e801d9e"}},
{{"8cd9c6bd9983bd49564a58ed4af9098a", "f71f333c9d71237ed4e46f0ef2283196",
"375b43abc1d6682d62f91c1841b8b0fc", "71e2444822ae9c697ddfc96e07c6e8a1"},
{"d9ed3a66ceef405c08c87f6e91b71059", "c171fcff5fb7bb919f13ead7a4917a4c",
"8fbd1edb82fcd78d4d286886f65a700a", "fe14a143e6b261c5bb07b179d40be5a2"},
{"1c995f4e7f117857de73211b81093bd0", "5ab1ee3bb14adcd66d66802d58bee068",
"d77430783e173ebd1b30e5d9336c8b69", "e159a3620747458dff7ed3d20da1a4b7"},
{"5346fa07d195c257548a332753b057a3", "c77674bc0a638abc4d38d58e494fc7cf",
"7cbc1562a9dd08e1973b3b9ac1afc765",
"3c91bf1a34672cd40bf261c5820d3ec3"}},
{{"501b57370c781372b514accd03d161af", "a4569b5eff7f7e8b696934d192619be5",
"24eb2aa43118a8822f7a6a7384ab9ea7", "edd7ac227733b5a4496bfdbdf4eb34d7"},
{"77624cf73299a1bd928eae3eb8945dbe", "b3f311cacbf45fa892761462d31b2598",
"977c063d93a4b95cb365363763faa4da", "02313c9d360a1e0180ed05d3e4444c3d"},
{"f499655ecdcbe0ac48553f1eee758589", "a009c83c03e47cbd05c1243e28579bd9",
"d5f0b4fd761ff51efce949e6c5ec4833", "e3a9a57aacd2e6cfe0f792a885b3e0e3"},
{"b4cf906e9bb02ffca15c1e9575962ca2", "d0ca9f933978c0c31175ba1b28a44ae8",
"81ac1475530ffbd1c8d3ce7da87ffe6b",
"b96412949c2e31b29388222ac8914fa2"}},
};
if (target_wiener_filter_func_ == nullptr) return;
constexpr int bd_index = (bitdepth - 8) / 2;
#if LIBGAV1_ENABLE_NEON
const int num_tests = speed ? 5000 : 1;
#else
const int num_tests = speed ? 10000 : 1;
#endif
const Pixel* const src = src_ + kOffset;
Pixel* const dst = dst_ + kOffset;
for (const auto vertical_order : kWienerOrders) {
for (const auto horizontal_order : kWienerOrders) {
SetInputData(1, (1 << bitdepth) - 1, vertical_order, horizontal_order);
memset(dst_, 0, sizeof(dst_));
const absl::Time start = absl::Now();
for (int i = 0; i < num_tests; ++i) {
for (int y = 0; y < kHeight; y += unit_height_) {
const int height = std::min(unit_height_, kHeight - y);
for (int x = 0; x < kWidth; x += unit_width_) {
const int width = std::min(unit_width_, kWidth - x);
const Pixel* const source = src + y * kStride + x;
target_wiener_filter_func_(
restoration_info_, source, kStride,
source - kRestorationVerticalBorder * kStride, kStride,
source + height * kStride, kStride, width, height,
&restoration_buffer_, dst + y * kStride + x);
}
}
}
const absl::Duration elapsed_time = absl::Now() - start;
test_utils::CheckMd5Digest(
"kLoopRestorationTypeWiener", std::to_string(GetParam()).c_str(),
kDigest[bd_index][kWienerOrderIdLookup[vertical_order]]
[kWienerOrderIdLookup[horizontal_order]],
dst_, sizeof(dst_), elapsed_time);
}
}
}
template <int bitdepth, typename Pixel>
void WienerFilterTest<bitdepth, Pixel>::TestCompare2C() {
if (base_wiener_filter_func_ == nullptr) return;
if (target_wiener_filter_func_ == nullptr) return;
if (base_wiener_filter_func_ == target_wiener_filter_func_) return;
const Pixel* const src = src_ + kOffset;
Pixel* const dst = dst_ + kOffset;
Pixel* const tmp = tmp_ + kOffset;
for (const auto vertical_order : kWienerOrders) {
for (const auto horizontal_order : kWienerOrders) {
SetInputData(1, (1 << bitdepth) - 1, vertical_order, horizontal_order);
for (int x = 0; x < 2; ++x) {
// Prepare min/max filter coefficients.
int order = vertical_order;
for (int i = WienerInfo::kVertical; i <= WienerInfo::kHorizontal; ++i) {
auto& filter = restoration_info_.wiener_info.filter[i];
for (int j = 0; j < 3; ++j) {
filter[j] = (x == 0) ? kWienerTapsMin[j] : kWienerTapsMax[j];
}
CleanFilterByOrder(order, filter);
filter[3] = 128 - 2 * (filter[0] + filter[1] + filter[2]);
restoration_info_.wiener_info.number_leading_zero_coefficients[i] =
(kWienerFilterTaps - order) / 2;
order = horizontal_order;
}
base_wiener_filter_func_(restoration_info_, src, kStride,
src - kRestorationVerticalBorder * kStride,
kStride, src + unit_height_ * kStride, kStride,
unit_width_, unit_height_,
&restoration_buffer_, dst);
target_wiener_filter_func_(restoration_info_, src, kStride,
src - kRestorationVerticalBorder * kStride,
kStride, src + unit_height_ * kStride,
kStride, unit_width_, unit_height_,
&restoration_buffer_, tmp);
if (!test_utils::CompareBlocks(dst, tmp, unit_width_, unit_height_,
kStride, kStride, false, true)) {
ADD_FAILURE() << "Mismatch -- wiener taps min/max";
}
}
}
}
}
using WienerFilterTest8bpp = WienerFilterTest<8, uint8_t>;
TEST_P(WienerFilterTest8bpp, Correctness) {
TestFixedValues(0, 0);
TestFixedValues(1, 1);
TestFixedValues(2, 128);
TestFixedValues(3, 255);
TestRandomValues(false);
}
TEST_P(WienerFilterTest8bpp, DISABLED_Speed) { TestRandomValues(true); }
TEST_P(WienerFilterTest8bpp, TestCompare2C) { TestCompare2C(); }
INSTANTIATE_TEST_SUITE_P(C, WienerFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#if LIBGAV1_ENABLE_AVX2
INSTANTIATE_TEST_SUITE_P(AVX2, WienerFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_SSE4_1
INSTANTIATE_TEST_SUITE_P(SSE41, WienerFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_NEON
INSTANTIATE_TEST_SUITE_P(NEON, WienerFilterTest8bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_MAX_BITDEPTH >= 10
using WienerFilterTest10bpp = WienerFilterTest<10, uint16_t>;
TEST_P(WienerFilterTest10bpp, Correctness) {
TestFixedValues(0, 0);
TestFixedValues(1, 1);
TestFixedValues(2, 512);
TestFixedValues(3, 1023);
TestRandomValues(false);
}
TEST_P(WienerFilterTest10bpp, DISABLED_Speed) { TestRandomValues(true); }
TEST_P(WienerFilterTest10bpp, TestCompare2C) { TestCompare2C(); }
INSTANTIATE_TEST_SUITE_P(C, WienerFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#if LIBGAV1_ENABLE_AVX2
INSTANTIATE_TEST_SUITE_P(AVX2, WienerFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_SSE4_1
INSTANTIATE_TEST_SUITE_P(SSE41, WienerFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#endif
#if LIBGAV1_ENABLE_NEON
INSTANTIATE_TEST_SUITE_P(NEON, WienerFilterTest10bpp,
testing::ValuesIn(kUnitWidths));
#endif
#endif // LIBGAV1_MAX_BITDEPTH >= 10
#if LIBGAV1_MAX_BITDEPTH == 12
using WienerFilterTest12bpp = WienerFilterTest<12, uint16_t>;
TEST_P(WienerFilterTest12bpp, Correctness) {
TestFixedValues(0, 0);
TestFixedValues(1, 1);
TestFixedValues(2, 2048);
TestFixedValues(3, 4095);
TestRandomValues(false);
}
TEST_P(WienerFilterTest12bpp, DISABLED_Speed) { TestRandomValues(true); }
TEST_P(WienerFilterTest12bpp, TestCompare2C) { TestCompare2C(); }
INSTANTIATE_TEST_SUITE_P(C, WienerFilterTest12bpp,
testing::ValuesIn(kUnitWidths));
#endif // LIBGAV1_MAX_BITDEPTH == 12
} // namespace
} // namespace dsp
} // namespace libgav1