From 36d22d82aa202bb199967e9512281e9a53db42c9 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Sun, 7 Apr 2024 21:33:14 +0200 Subject: Adding upstream version 115.7.0esr. Signed-off-by: Daniel Baumann --- third_party/aom/test/cfl_test.cc | 567 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 567 insertions(+) create mode 100644 third_party/aom/test/cfl_test.cc (limited to 'third_party/aom/test/cfl_test.cc') diff --git a/third_party/aom/test/cfl_test.cc b/third_party/aom/test/cfl_test.cc new file mode 100644 index 0000000000..e4d438d6ab --- /dev/null +++ b/third_party/aom/test/cfl_test.cc @@ -0,0 +1,567 @@ +/* + * 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 "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 ::testing::make_tuple; + +using libaom_test::ACMRandom; + +#define NUM_ITERATIONS (100) +#define NUM_ITERATIONS_SPEED (INT16_MAX) + +#define ALL_CFL_TX_SIZES(function) \ + make_tuple(TX_4X4, &function), make_tuple(TX_4X8, &function), \ + make_tuple(TX_4X16, &function), make_tuple(TX_8X4, &function), \ + make_tuple(TX_8X8, &function), make_tuple(TX_8X16, &function), \ + make_tuple(TX_8X32, &function), make_tuple(TX_16X4, &function), \ + make_tuple(TX_16X8, &function), make_tuple(TX_16X16, &function), \ + make_tuple(TX_16X32, &function), make_tuple(TX_32X8, &function), \ + make_tuple(TX_32X16, &function), make_tuple(TX_32X32, &function) + +#define ALL_CFL_TX_SIZES_SUBSAMPLE(fun420, fun422, fun444) \ + make_tuple(TX_4X4, &fun420, &fun422, &fun444), \ + make_tuple(TX_4X8, &fun420, &fun422, &fun444), \ + make_tuple(TX_4X16, &fun420, &fun422, &fun444), \ + make_tuple(TX_8X4, &fun420, &fun422, &fun444), \ + make_tuple(TX_8X8, &fun420, &fun422, &fun444), \ + make_tuple(TX_8X16, &fun420, &fun422, &fun444), \ + make_tuple(TX_8X32, &fun420, &fun422, &fun444), \ + make_tuple(TX_16X4, &fun420, &fun422, &fun444), \ + make_tuple(TX_16X8, &fun420, &fun422, &fun444), \ + make_tuple(TX_16X16, &fun420, &fun422, &fun444), \ + make_tuple(TX_16X32, &fun420, &fun422, &fun444), \ + make_tuple(TX_32X8, &fun420, &fun422, &fun444), \ + make_tuple(TX_32X16, &fun420, &fun422, &fun444), \ + make_tuple(TX_32X32, &fun420, &fun422, &fun444) + +namespace { + +template +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(ACMRandom::DeterministicSeed()); + } + + protected: + TX_SIZE tx_size; + int width; + int height; + ACMRandom rnd; +}; + +template +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 +class CFLTestWithAlignedData : public CFLTest { + public: + CFLTestWithAlignedData() { + chroma_pels_ref = + reinterpret_cast(aom_memalign(32, sizeof(I) * CFL_BUF_SQUARE)); + chroma_pels = + reinterpret_cast(aom_memalign(32, sizeof(I) * CFL_BUF_SQUARE)); + sub_luma_pels_ref = reinterpret_cast( + aom_memalign(32, sizeof(int16_t) * CFL_BUF_SQUARE)); + sub_luma_pels = reinterpret_cast( + 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 ::testing::tuple sub_avg_param; +class CFLSubAvgTest : public ::testing::TestWithParam, + public CFLTestWithData { + public: + virtual void SetUp() { + CFLTest::init(::testing::get<0>(this->GetParam())); + sub_avg = ::testing::get<1>(this->GetParam())(tx_size); + sub_avg_ref = get_subtract_average_fn_c(tx_size); + } + virtual ~CFLSubAvgTest() {} + + protected: + cfl_subtract_average_fn sub_avg; + cfl_subtract_average_fn sub_avg_ref; +}; + +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(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 +class CFLSubsampleTest : public ::testing::TestWithParam, + public CFLTestWithData { + public: + virtual void SetUp() { + CFLTest::init(::testing::get<0>(this->GetParam())); + fun_420 = ::testing::get<1>(this->GetParam())(this->tx_size); + fun_422 = ::testing::get<2>(this->GetParam())(this->tx_size); + fun_444 = ::testing::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::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(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::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 ::testing::tuple + subsample_lbd_param; +class CFLSubsampleLBDTest + : public CFLSubsampleTest { + 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); + } +}; + +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); +} + +typedef cfl_subsample_hbd_fn (*get_subsample_hbd_fn)(TX_SIZE tx_size); +typedef ::testing::tuple + subsample_hbd_param; +class CFLSubsampleHBDTest + : public CFLSubsampleTest { + 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); + } +}; + +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); +} + +typedef cfl_predict_lbd_fn (*get_predict_fn)(TX_SIZE tx_size); +typedef ::testing::tuple predict_param; +class CFLPredictTest : public ::testing::TestWithParam, + public CFLTestWithAlignedData { + public: + virtual void SetUp() { + CFLTest::init(::testing::get<0>(this->GetParam())); + predict = ::testing::get<1>(this->GetParam())(tx_size); + predict_ref = get_predict_lbd_fn_c(tx_size); + } + virtual ~CFLPredictTest() {} + + protected: + cfl_predict_lbd_fn predict; + cfl_predict_lbd_fn predict_ref; +}; + +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(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); +} + +typedef cfl_predict_hbd_fn (*get_predict_fn_hbd)(TX_SIZE tx_size); +typedef ::testing::tuple predict_param_hbd; +class CFLPredictHBDTest : public ::testing::TestWithParam, + public CFLTestWithAlignedData { + public: + virtual void SetUp() { + CFLTest::init(::testing::get<0>(this->GetParam())); + predict = ::testing::get<1>(this->GetParam())(tx_size); + predict_ref = get_predict_hbd_fn_c(tx_size); + } + virtual ~CFLPredictHBDTest() {} + + protected: + cfl_predict_hbd_fn predict; + cfl_predict_hbd_fn predict_ref; +}; + +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(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); +} + +#if HAVE_SSE2 +const sub_avg_param sub_avg_sizes_sse2[] = { ALL_CFL_TX_SIZES( + get_subtract_average_fn_sse2) }; + +INSTANTIATE_TEST_CASE_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 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 predict_sizes_ssse3[] = { ALL_CFL_TX_SIZES( + get_predict_lbd_fn_ssse3) }; + +const predict_param_hbd predict_sizes_hbd_ssse3[] = { ALL_CFL_TX_SIZES( + get_predict_hbd_fn_ssse3) }; + +INSTANTIATE_TEST_CASE_P(SSSE3, CFLSubsampleLBDTest, + ::testing::ValuesIn(subsample_lbd_sizes_ssse3)); + +INSTANTIATE_TEST_CASE_P(SSSE3, CFLSubsampleHBDTest, + ::testing::ValuesIn(subsample_hbd_sizes_ssse3)); + +INSTANTIATE_TEST_CASE_P(SSSE3, CFLPredictTest, + ::testing::ValuesIn(predict_sizes_ssse3)); + +INSTANTIATE_TEST_CASE_P(SSSE3, CFLPredictHBDTest, + ::testing::ValuesIn(predict_sizes_hbd_ssse3)); +#endif + +#if HAVE_AVX2 +const sub_avg_param sub_avg_sizes_avx2[] = { ALL_CFL_TX_SIZES( + 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 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 predict_sizes_avx2[] = { ALL_CFL_TX_SIZES( + get_predict_lbd_fn_avx2) }; + +const predict_param_hbd predict_sizes_hbd_avx2[] = { ALL_CFL_TX_SIZES( + get_predict_hbd_fn_avx2) }; + +INSTANTIATE_TEST_CASE_P(AVX2, CFLSubAvgTest, + ::testing::ValuesIn(sub_avg_sizes_avx2)); + +INSTANTIATE_TEST_CASE_P(AVX2, CFLSubsampleLBDTest, + ::testing::ValuesIn(subsample_lbd_sizes_avx2)); + +INSTANTIATE_TEST_CASE_P(AVX2, CFLSubsampleHBDTest, + ::testing::ValuesIn(subsample_hbd_sizes_avx2)); + +INSTANTIATE_TEST_CASE_P(AVX2, CFLPredictTest, + ::testing::ValuesIn(predict_sizes_avx2)); + +INSTANTIATE_TEST_CASE_P(AVX2, CFLPredictHBDTest, + ::testing::ValuesIn(predict_sizes_hbd_avx2)); +#endif + +#if HAVE_NEON + +const sub_avg_param sub_avg_sizes_neon[] = { ALL_CFL_TX_SIZES( + get_subtract_average_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) +}; + +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 predict_sizes_neon[] = { ALL_CFL_TX_SIZES( + get_predict_lbd_fn_neon) }; + +const predict_param_hbd predict_sizes_hbd_neon[] = { ALL_CFL_TX_SIZES( + get_predict_hbd_fn_neon) }; + +INSTANTIATE_TEST_CASE_P(NEON, CFLSubAvgTest, + ::testing::ValuesIn(sub_avg_sizes_neon)); + +INSTANTIATE_TEST_CASE_P(NEON, CFLSubsampleLBDTest, + ::testing::ValuesIn(subsample_lbd_sizes_neon)); + +INSTANTIATE_TEST_CASE_P(NEON, CFLSubsampleHBDTest, + ::testing::ValuesIn(subsample_hbd_sizes_neon)); + +INSTANTIATE_TEST_CASE_P(NEON, CFLPredictTest, + ::testing::ValuesIn(predict_sizes_neon)); + +INSTANTIATE_TEST_CASE_P(NEON, CFLPredictHBDTest, + ::testing::ValuesIn(predict_sizes_hbd_neon)); +#endif + +#if HAVE_VSX +const sub_avg_param sub_avg_sizes_vsx[] = { ALL_CFL_TX_SIZES( + get_subtract_average_fn_vsx) }; + +INSTANTIATE_TEST_CASE_P(VSX, CFLSubAvgTest, + ::testing::ValuesIn(sub_avg_sizes_vsx)); +#endif +} // namespace -- cgit v1.2.3