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/*
* Copyright (c) 2017, 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 <tuple>
#include "third_party/googletest/src/googletest/include/gtest/gtest.h"
#include "config/av1_rtcd.h"
#include "aom_ports/aom_timer.h"
#include "test/util.h"
#include "test/acm_random.h"
using std::make_tuple;
using libaom_test::ACMRandom;
#define NUM_ITERATIONS (100)
#define NUM_ITERATIONS_SPEED (INT16_MAX)
#define ALL_CFL_TX_SIZES(function) \
make_tuple(static_cast<TX_SIZE>(TX_4X4), &function), \
make_tuple(static_cast<TX_SIZE>(TX_4X8), &function), \
make_tuple(static_cast<TX_SIZE>(TX_4X16), &function), \
make_tuple(static_cast<TX_SIZE>(TX_8X4), &function), \
make_tuple(static_cast<TX_SIZE>(TX_8X8), &function), \
make_tuple(static_cast<TX_SIZE>(TX_8X16), &function), \
make_tuple(static_cast<TX_SIZE>(TX_8X32), &function), \
make_tuple(static_cast<TX_SIZE>(TX_16X4), &function), \
make_tuple(static_cast<TX_SIZE>(TX_16X8), &function), \
make_tuple(static_cast<TX_SIZE>(TX_16X16), &function), \
make_tuple(static_cast<TX_SIZE>(TX_16X32), &function), \
make_tuple(static_cast<TX_SIZE>(TX_32X8), &function), \
make_tuple(static_cast<TX_SIZE>(TX_32X16), &function), \
make_tuple(static_cast<TX_SIZE>(TX_32X32), &function)
#define ALL_CFL_TX_SIZES_SUBSAMPLE(fun420, fun422, fun444) \
make_tuple(static_cast<TX_SIZE>(TX_4X4), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_4X8), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_4X16), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_8X4), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_8X8), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_8X16), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_8X32), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_16X4), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_16X8), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_16X16), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_16X32), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_32X8), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_32X16), &fun420, &fun422, &fun444), \
make_tuple(static_cast<TX_SIZE>(TX_32X32), &fun420, &fun422, &fun444)
namespace {
template <typename A>
static void assert_eq(const A *a, const A *b, int width, int height) {
for (int j = 0; j < height; j++) {
for (int i = 0; i < width; i++) {
ASSERT_EQ(a[j * CFL_BUF_LINE + i], b[j * CFL_BUF_LINE + i]);
}
}
}
static void assertFaster(int ref_elapsed_time, int elapsed_time) {
EXPECT_GT(ref_elapsed_time, elapsed_time)
<< "Error: CFLSubtractSpeedTest, SIMD slower than C." << std::endl
<< "C time: " << ref_elapsed_time << " us" << std::endl
<< "SIMD time: " << elapsed_time << " us" << std::endl;
}
static void printSpeed(int ref_elapsed_time, int elapsed_time, int width,
int height) {
std::cout.precision(2);
std::cout << "[ ] " << width << "x" << height
<< ": C time = " << ref_elapsed_time
<< " us, SIMD time = " << elapsed_time << " us"
<< " (~" << ref_elapsed_time / (double)elapsed_time << "x) "
<< std::endl;
}
class CFLTest {
public:
virtual ~CFLTest() {}
void init(TX_SIZE tx) {
tx_size = tx;
width = tx_size_wide[tx_size];
height = tx_size_high[tx_size];
rnd.Reset(ACMRandom::DeterministicSeed());
}
protected:
TX_SIZE tx_size;
int width;
int height;
ACMRandom rnd;
};
template <typename I>
class CFLTestWithData : public CFLTest {
public:
virtual ~CFLTestWithData() {}
protected:
I data[CFL_BUF_SQUARE];
I data_ref[CFL_BUF_SQUARE];
void randData(I (ACMRandom::*random)()) {
for (int j = 0; j < this->height; j++) {
for (int i = 0; i < this->width; i++) {
const I d = (this->rnd.*random)();
data[j * CFL_BUF_LINE + i] = d;
data_ref[j * CFL_BUF_LINE + i] = d;
}
}
}
};
template <typename I>
class CFLTestWithAlignedData : public CFLTest {
public:
CFLTestWithAlignedData() {
chroma_pels_ref =
reinterpret_cast<I *>(aom_memalign(32, sizeof(I) * CFL_BUF_SQUARE));
chroma_pels =
reinterpret_cast<I *>(aom_memalign(32, sizeof(I) * CFL_BUF_SQUARE));
sub_luma_pels_ref = reinterpret_cast<int16_t *>(
aom_memalign(32, sizeof(int16_t) * CFL_BUF_SQUARE));
sub_luma_pels = reinterpret_cast<int16_t *>(
aom_memalign(32, sizeof(int16_t) * CFL_BUF_SQUARE));
memset(chroma_pels_ref, 0, sizeof(I) * CFL_BUF_SQUARE);
memset(chroma_pels, 0, sizeof(I) * CFL_BUF_SQUARE);
memset(sub_luma_pels_ref, 0, sizeof(int16_t) * CFL_BUF_SQUARE);
memset(sub_luma_pels, 0, sizeof(int16_t) * CFL_BUF_SQUARE);
}
~CFLTestWithAlignedData() {
aom_free(chroma_pels_ref);
aom_free(sub_luma_pels_ref);
aom_free(chroma_pels);
aom_free(sub_luma_pels);
}
protected:
I *chroma_pels_ref;
I *chroma_pels;
int16_t *sub_luma_pels_ref;
int16_t *sub_luma_pels;
int alpha_q3;
I dc;
void randData(int bd) {
alpha_q3 = this->rnd(33) - 16;
dc = this->rnd(1 << bd);
for (int j = 0; j < this->height; j++) {
for (int i = 0; i < this->width; i++) {
chroma_pels[j * CFL_BUF_LINE + i] = dc;
chroma_pels_ref[j * CFL_BUF_LINE + i] = dc;
sub_luma_pels_ref[j * CFL_BUF_LINE + i] =
sub_luma_pels[j * CFL_BUF_LINE + i] = this->rnd(1 << (bd + 3));
}
}
}
};
typedef cfl_subtract_average_fn (*sub_avg_fn)(TX_SIZE tx_size);
typedef std::tuple<TX_SIZE, sub_avg_fn> sub_avg_param;
class CFLSubAvgTest : public ::testing::TestWithParam<sub_avg_param>,
public CFLTestWithData<int16_t> {
public:
virtual void SetUp() {
CFLTest::init(std::get<0>(this->GetParam()));
sub_avg = std::get<1>(this->GetParam())(tx_size);
sub_avg_ref = cfl_get_subtract_average_fn_c(tx_size);
}
virtual ~CFLSubAvgTest() {}
protected:
cfl_subtract_average_fn sub_avg;
cfl_subtract_average_fn sub_avg_ref;
};
GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CFLSubAvgTest);
TEST_P(CFLSubAvgTest, SubAvgTest) {
for (int it = 0; it < NUM_ITERATIONS; it++) {
randData(&ACMRandom::Rand15Signed);
sub_avg((uint16_t *)data, data);
sub_avg_ref((uint16_t *)data_ref, data_ref);
assert_eq<int16_t>(data, data_ref, width, height);
}
}
TEST_P(CFLSubAvgTest, DISABLED_SubAvgSpeedTest) {
aom_usec_timer ref_timer;
aom_usec_timer timer;
randData(&ACMRandom::Rand15Signed);
aom_usec_timer_start(&ref_timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
sub_avg_ref((uint16_t *)data_ref, data_ref);
}
aom_usec_timer_mark(&ref_timer);
int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
aom_usec_timer_start(&timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
sub_avg((uint16_t *)data, data);
}
aom_usec_timer_mark(&timer);
int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
printSpeed(ref_elapsed_time, elapsed_time, width, height);
assertFaster(ref_elapsed_time, elapsed_time);
}
template <typename S, typename T, typename I>
class CFLSubsampleTest : public ::testing::TestWithParam<S>,
public CFLTestWithData<I> {
public:
virtual void SetUp() {
CFLTest::init(std::get<0>(this->GetParam()));
fun_420 = std::get<1>(this->GetParam())(this->tx_size);
fun_422 = std::get<2>(this->GetParam())(this->tx_size);
fun_444 = std::get<3>(this->GetParam())(this->tx_size);
}
protected:
T fun_420;
T fun_422;
T fun_444;
T fun_420_ref;
T fun_422_ref;
T fun_444_ref;
void subsampleTest(T fun, T fun_ref, int sub_width, int sub_height,
I (ACMRandom::*random)()) {
uint16_t sub_luma_pels[CFL_BUF_SQUARE];
uint16_t sub_luma_pels_ref[CFL_BUF_SQUARE];
for (int it = 0; it < NUM_ITERATIONS; it++) {
CFLTestWithData<I>::randData(random);
fun(this->data, CFL_BUF_LINE, sub_luma_pels);
fun_ref(this->data_ref, CFL_BUF_LINE, sub_luma_pels_ref);
assert_eq<uint16_t>(sub_luma_pels, sub_luma_pels_ref, sub_width,
sub_height);
}
}
void subsampleSpeedTest(T fun, T fun_ref, I (ACMRandom::*random)()) {
uint16_t sub_luma_pels[CFL_BUF_SQUARE];
uint16_t sub_luma_pels_ref[CFL_BUF_SQUARE];
aom_usec_timer ref_timer;
aom_usec_timer timer;
CFLTestWithData<I>::randData(random);
aom_usec_timer_start(&ref_timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
fun_ref(this->data_ref, CFL_BUF_LINE, sub_luma_pels);
}
aom_usec_timer_mark(&ref_timer);
int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
aom_usec_timer_start(&timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
fun(this->data, CFL_BUF_LINE, sub_luma_pels_ref);
}
aom_usec_timer_mark(&timer);
int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
printSpeed(ref_elapsed_time, elapsed_time, this->width, this->height);
assertFaster(ref_elapsed_time, elapsed_time);
}
};
typedef cfl_subsample_lbd_fn (*get_subsample_lbd_fn)(TX_SIZE tx_size);
typedef std::tuple<TX_SIZE, get_subsample_lbd_fn, get_subsample_lbd_fn,
get_subsample_lbd_fn>
subsample_lbd_param;
class CFLSubsampleLBDTest
: public CFLSubsampleTest<subsample_lbd_param, cfl_subsample_lbd_fn,
uint8_t> {
public:
virtual ~CFLSubsampleLBDTest() {}
virtual void SetUp() {
CFLSubsampleTest::SetUp();
fun_420_ref = cfl_get_luma_subsampling_420_lbd_c(tx_size);
fun_422_ref = cfl_get_luma_subsampling_422_lbd_c(tx_size);
fun_444_ref = cfl_get_luma_subsampling_444_lbd_c(tx_size);
}
};
GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CFLSubsampleLBDTest);
TEST_P(CFLSubsampleLBDTest, SubsampleLBD420Test) {
subsampleTest(fun_420, fun_420_ref, width >> 1, height >> 1,
&ACMRandom::Rand8);
}
TEST_P(CFLSubsampleLBDTest, DISABLED_SubsampleLBD420SpeedTest) {
subsampleSpeedTest(fun_420, fun_420_ref, &ACMRandom::Rand8);
}
TEST_P(CFLSubsampleLBDTest, SubsampleLBD422Test) {
subsampleTest(fun_422, fun_422_ref, width >> 1, height, &ACMRandom::Rand8);
}
TEST_P(CFLSubsampleLBDTest, DISABLED_SubsampleLBD422SpeedTest) {
subsampleSpeedTest(fun_422, fun_422_ref, &ACMRandom::Rand8);
}
TEST_P(CFLSubsampleLBDTest, SubsampleLBD444Test) {
subsampleTest(fun_444, fun_444_ref, width, height, &ACMRandom::Rand8);
}
TEST_P(CFLSubsampleLBDTest, DISABLED_SubsampleLBD444SpeedTest) {
subsampleSpeedTest(fun_444, fun_444_ref, &ACMRandom::Rand8);
}
#if CONFIG_AV1_HIGHBITDEPTH
typedef cfl_subsample_hbd_fn (*get_subsample_hbd_fn)(TX_SIZE tx_size);
typedef std::tuple<TX_SIZE, get_subsample_hbd_fn, get_subsample_hbd_fn,
get_subsample_hbd_fn>
subsample_hbd_param;
class CFLSubsampleHBDTest
: public CFLSubsampleTest<subsample_hbd_param, cfl_subsample_hbd_fn,
uint16_t> {
public:
virtual ~CFLSubsampleHBDTest() {}
virtual void SetUp() {
CFLSubsampleTest::SetUp();
fun_420_ref = cfl_get_luma_subsampling_420_hbd_c(tx_size);
fun_422_ref = cfl_get_luma_subsampling_422_hbd_c(tx_size);
fun_444_ref = cfl_get_luma_subsampling_444_hbd_c(tx_size);
}
};
GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CFLSubsampleHBDTest);
TEST_P(CFLSubsampleHBDTest, SubsampleHBD420Test) {
subsampleTest(fun_420, fun_420_ref, width >> 1, height >> 1,
&ACMRandom::Rand12);
}
TEST_P(CFLSubsampleHBDTest, DISABLED_SubsampleHBD420SpeedTest) {
subsampleSpeedTest(fun_420, fun_420_ref, &ACMRandom::Rand12);
}
TEST_P(CFLSubsampleHBDTest, SubsampleHBD422Test) {
subsampleTest(fun_422, fun_422_ref, width >> 1, height, &ACMRandom::Rand12);
}
TEST_P(CFLSubsampleHBDTest, DISABLED_SubsampleHBD422SpeedTest) {
subsampleSpeedTest(fun_422, fun_422_ref, &ACMRandom::Rand12);
}
TEST_P(CFLSubsampleHBDTest, SubsampleHBD444Test) {
subsampleTest(fun_444, fun_444_ref, width, height, &ACMRandom::Rand12);
}
TEST_P(CFLSubsampleHBDTest, DISABLED_SubsampleHBD444SpeedTest) {
subsampleSpeedTest(fun_444, fun_444_ref, &ACMRandom::Rand12);
}
#endif // CONFIG_AV1_HIGHBITDEPTH
typedef cfl_predict_lbd_fn (*get_predict_fn)(TX_SIZE tx_size);
typedef std::tuple<TX_SIZE, get_predict_fn> predict_param;
class CFLPredictTest : public ::testing::TestWithParam<predict_param>,
public CFLTestWithAlignedData<uint8_t> {
public:
virtual void SetUp() {
CFLTest::init(std::get<0>(this->GetParam()));
predict = std::get<1>(this->GetParam())(tx_size);
predict_ref = cfl_get_predict_lbd_fn_c(tx_size);
}
virtual ~CFLPredictTest() {}
protected:
cfl_predict_lbd_fn predict;
cfl_predict_lbd_fn predict_ref;
};
GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CFLPredictTest);
TEST_P(CFLPredictTest, PredictTest) {
for (int it = 0; it < NUM_ITERATIONS; it++) {
randData(8);
predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3);
predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3);
assert_eq<uint8_t>(chroma_pels, chroma_pels_ref, width, height);
}
}
TEST_P(CFLPredictTest, DISABLED_PredictSpeedTest) {
aom_usec_timer ref_timer;
aom_usec_timer timer;
randData(8);
aom_usec_timer_start(&ref_timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3);
}
aom_usec_timer_mark(&ref_timer);
int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
aom_usec_timer_start(&timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3);
}
aom_usec_timer_mark(&timer);
int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
printSpeed(ref_elapsed_time, elapsed_time, width, height);
assertFaster(ref_elapsed_time, elapsed_time);
}
#if CONFIG_AV1_HIGHBITDEPTH
typedef cfl_predict_hbd_fn (*get_predict_fn_hbd)(TX_SIZE tx_size);
typedef std::tuple<TX_SIZE, get_predict_fn_hbd> predict_param_hbd;
class CFLPredictHBDTest : public ::testing::TestWithParam<predict_param_hbd>,
public CFLTestWithAlignedData<uint16_t> {
public:
virtual void SetUp() {
CFLTest::init(std::get<0>(this->GetParam()));
predict = std::get<1>(this->GetParam())(tx_size);
predict_ref = cfl_get_predict_hbd_fn_c(tx_size);
}
virtual ~CFLPredictHBDTest() {}
protected:
cfl_predict_hbd_fn predict;
cfl_predict_hbd_fn predict_ref;
};
GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CFLPredictHBDTest);
TEST_P(CFLPredictHBDTest, PredictHBDTest) {
int bd = 12;
for (int it = 0; it < NUM_ITERATIONS; it++) {
randData(bd);
predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3, bd);
predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3, bd);
assert_eq<uint16_t>(chroma_pels, chroma_pels_ref, width, height);
}
}
TEST_P(CFLPredictHBDTest, DISABLED_PredictHBDSpeedTest) {
aom_usec_timer ref_timer;
aom_usec_timer timer;
const int bd = 12;
randData(bd);
aom_usec_timer_start(&ref_timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3, bd);
}
aom_usec_timer_mark(&ref_timer);
int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
aom_usec_timer_start(&timer);
for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3, bd);
}
aom_usec_timer_mark(&timer);
int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
printSpeed(ref_elapsed_time, elapsed_time, width, height);
assertFaster(ref_elapsed_time, elapsed_time);
}
#endif // CONFIG_AV1_HIGHBITDEPTH
#if HAVE_SSE2
const sub_avg_param sub_avg_sizes_sse2[] = { ALL_CFL_TX_SIZES(
cfl_get_subtract_average_fn_sse2) };
INSTANTIATE_TEST_SUITE_P(SSE2, CFLSubAvgTest,
::testing::ValuesIn(sub_avg_sizes_sse2));
#endif
#if HAVE_SSSE3
const subsample_lbd_param subsample_lbd_sizes_ssse3[] = {
ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_lbd_ssse3,
cfl_get_luma_subsampling_422_lbd_ssse3,
cfl_get_luma_subsampling_444_lbd_ssse3)
};
const predict_param predict_sizes_ssse3[] = { ALL_CFL_TX_SIZES(
cfl_get_predict_lbd_fn_ssse3) };
INSTANTIATE_TEST_SUITE_P(SSSE3, CFLSubsampleLBDTest,
::testing::ValuesIn(subsample_lbd_sizes_ssse3));
INSTANTIATE_TEST_SUITE_P(SSSE3, CFLPredictTest,
::testing::ValuesIn(predict_sizes_ssse3));
#if CONFIG_AV1_HIGHBITDEPTH
const subsample_hbd_param subsample_hbd_sizes_ssse3[] = {
ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_hbd_ssse3,
cfl_get_luma_subsampling_422_hbd_ssse3,
cfl_get_luma_subsampling_444_hbd_ssse3)
};
const predict_param_hbd predict_sizes_hbd_ssse3[] = { ALL_CFL_TX_SIZES(
cfl_get_predict_hbd_fn_ssse3) };
INSTANTIATE_TEST_SUITE_P(SSSE3, CFLSubsampleHBDTest,
::testing::ValuesIn(subsample_hbd_sizes_ssse3));
INSTANTIATE_TEST_SUITE_P(SSSE3, CFLPredictHBDTest,
::testing::ValuesIn(predict_sizes_hbd_ssse3));
#endif // CONFIG_AV1_HIGHBITDEPTH
#endif // HAVE_SSSE3
#if HAVE_AVX2
const sub_avg_param sub_avg_sizes_avx2[] = { ALL_CFL_TX_SIZES(
cfl_get_subtract_average_fn_avx2) };
const subsample_lbd_param subsample_lbd_sizes_avx2[] = {
ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_lbd_avx2,
cfl_get_luma_subsampling_422_lbd_avx2,
cfl_get_luma_subsampling_444_lbd_avx2)
};
const predict_param predict_sizes_avx2[] = { ALL_CFL_TX_SIZES(
cfl_get_predict_lbd_fn_avx2) };
INSTANTIATE_TEST_SUITE_P(AVX2, CFLSubAvgTest,
::testing::ValuesIn(sub_avg_sizes_avx2));
INSTANTIATE_TEST_SUITE_P(AVX2, CFLSubsampleLBDTest,
::testing::ValuesIn(subsample_lbd_sizes_avx2));
INSTANTIATE_TEST_SUITE_P(AVX2, CFLPredictTest,
::testing::ValuesIn(predict_sizes_avx2));
#if CONFIG_AV1_HIGHBITDEPTH
const subsample_hbd_param subsample_hbd_sizes_avx2[] = {
ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_hbd_avx2,
cfl_get_luma_subsampling_422_hbd_avx2,
cfl_get_luma_subsampling_444_hbd_avx2)
};
const predict_param_hbd predict_sizes_hbd_avx2[] = { ALL_CFL_TX_SIZES(
cfl_get_predict_hbd_fn_avx2) };
INSTANTIATE_TEST_SUITE_P(AVX2, CFLSubsampleHBDTest,
::testing::ValuesIn(subsample_hbd_sizes_avx2));
INSTANTIATE_TEST_SUITE_P(AVX2, CFLPredictHBDTest,
::testing::ValuesIn(predict_sizes_hbd_avx2));
#endif // CONFIG_AV1_HIGHBITDEPTH
#endif // HAVE_AVX2
#if HAVE_NEON
const sub_avg_param sub_avg_sizes_neon[] = { ALL_CFL_TX_SIZES(
cfl_get_subtract_average_fn_neon) };
const predict_param predict_sizes_neon[] = { ALL_CFL_TX_SIZES(
cfl_get_predict_lbd_fn_neon) };
const subsample_lbd_param subsample_lbd_sizes_neon[] = {
ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_lbd_neon,
cfl_get_luma_subsampling_422_lbd_neon,
cfl_get_luma_subsampling_444_lbd_neon)
};
INSTANTIATE_TEST_SUITE_P(NEON, CFLSubAvgTest,
::testing::ValuesIn(sub_avg_sizes_neon));
INSTANTIATE_TEST_SUITE_P(NEON, CFLSubsampleLBDTest,
::testing::ValuesIn(subsample_lbd_sizes_neon));
INSTANTIATE_TEST_SUITE_P(NEON, CFLPredictTest,
::testing::ValuesIn(predict_sizes_neon));
#if CONFIG_AV1_HIGHBITDEPTH
const subsample_hbd_param subsample_hbd_sizes_neon[] = {
ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_hbd_neon,
cfl_get_luma_subsampling_422_hbd_neon,
cfl_get_luma_subsampling_444_hbd_neon)
};
const predict_param_hbd predict_sizes_hbd_neon[] = { ALL_CFL_TX_SIZES(
cfl_get_predict_hbd_fn_neon) };
INSTANTIATE_TEST_SUITE_P(NEON, CFLSubsampleHBDTest,
::testing::ValuesIn(subsample_hbd_sizes_neon));
INSTANTIATE_TEST_SUITE_P(NEON, CFLPredictHBDTest,
::testing::ValuesIn(predict_sizes_hbd_neon));
#endif // CONFIG_AV1_HIGHBITDEPTH
#endif // HAVE_NEON
#if HAVE_VSX
const sub_avg_param sub_avg_sizes_vsx[] = { ALL_CFL_TX_SIZES(
cfl_get_subtract_average_fn_vsx) };
INSTANTIATE_TEST_SUITE_P(VSX, CFLSubAvgTest,
::testing::ValuesIn(sub_avg_sizes_vsx));
#endif
} // namespace