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/*
* 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 <tuple>
#include "third_party/googletest/src/googletest/include/gtest/gtest.h"
#include "config/av1_rtcd.h"
#include "test/acm_random.h"
#include "test/register_state_check.h"
#include "test/util.h"
#include "av1/common/enums.h"
namespace {
using libaom_test::ACMRandom;
using std::tuple;
typedef void (*Predictor)(uint8_t *dst, ptrdiff_t stride, TX_SIZE tx_size,
const uint8_t *above, const uint8_t *left, int mode);
// Note:
// Test parameter list:
// Reference predictor, optimized predictor, prediction mode, tx size
//
typedef tuple<Predictor, Predictor, int> PredFuncMode;
typedef tuple<PredFuncMode, TX_SIZE> PredParams;
const int MaxTxSize = 32;
const int MaxTestNum = 100;
class AV1FilterIntraPredTest : public ::testing::TestWithParam<PredParams> {
public:
~AV1FilterIntraPredTest() override = default;
void SetUp() override {
PredFuncMode funcMode = GET_PARAM(0);
predFuncRef_ = std::get<0>(funcMode);
predFunc_ = std::get<1>(funcMode);
mode_ = std::get<2>(funcMode);
txSize_ = GET_PARAM(1);
alloc_ = new uint8_t[2 * MaxTxSize + 1];
predRef_ = new uint8_t[MaxTxSize * MaxTxSize];
pred_ = new uint8_t[MaxTxSize * MaxTxSize];
ASSERT_NE(alloc_, nullptr);
ASSERT_NE(predRef_, nullptr);
ASSERT_NE(pred_, nullptr);
}
void TearDown() override {
delete[] alloc_;
delete[] predRef_;
delete[] pred_;
}
protected:
void RunTest() const {
int tstIndex = 0;
int stride = tx_size_wide[txSize_];
uint8_t *left = alloc_;
uint8_t *above = alloc_ + MaxTxSize;
while (tstIndex < MaxTestNum) {
PrepareBuffer();
predFuncRef_(predRef_, stride, txSize_, &above[1], left, mode_);
API_REGISTER_STATE_CHECK(
predFunc_(pred_, stride, txSize_, &above[1], left, mode_));
DiffPred(tstIndex);
tstIndex += 1;
}
}
void RunSpeedTest() const {
int stride = tx_size_wide[txSize_];
uint8_t *left = alloc_;
uint8_t *above = alloc_ + MaxTxSize;
const int numIter = 5000;
PrepareBuffer();
aom_usec_timer ref_timer;
aom_usec_timer_start(&ref_timer);
for (int i = 0; i < numIter; i++) {
predFuncRef_(predRef_, stride, txSize_, &above[1], left, mode_);
}
aom_usec_timer_mark(&ref_timer);
aom_usec_timer timer;
aom_usec_timer_start(&timer);
for (int i = 0; i < numIter; i++) {
predFunc_(pred_, stride, txSize_, &above[1], left, mode_);
}
aom_usec_timer_mark(&timer);
const int ref_sum_time =
static_cast<int>(aom_usec_timer_elapsed(&ref_timer));
const int sum_time = static_cast<int>(aom_usec_timer_elapsed(&timer));
printf("c_time = %d \t simd_time = %d \t Gain = %4.2f \t mode = %d \n",
ref_sum_time, sum_time,
(static_cast<float>(ref_sum_time) / static_cast<float>(sum_time)),
static_cast<int>(mode_));
DiffPred(0);
}
private:
void PrepareBuffer() const {
ACMRandom rnd(ACMRandom::DeterministicSeed());
int i = 0;
while (i < (2 * MaxTxSize + 1)) {
alloc_[i] = rnd.Rand8();
i++;
}
}
void DiffPred(int testNum) const {
int i = 0;
while (i < tx_size_wide[txSize_] * tx_size_high[txSize_]) {
EXPECT_EQ(predRef_[i], pred_[i]) << "Error at position: " << i << " "
<< "Tx size: " << tx_size_wide[txSize_]
<< "x" << tx_size_high[txSize_] << " "
<< "Test number: " << testNum;
i++;
}
}
Predictor predFunc_;
Predictor predFuncRef_;
int mode_;
TX_SIZE txSize_;
uint8_t *alloc_;
uint8_t *pred_;
uint8_t *predRef_;
};
TEST_P(AV1FilterIntraPredTest, BitExactCheck) { RunTest(); }
TEST_P(AV1FilterIntraPredTest, DISABLED_Speed) { RunSpeedTest(); }
using ::testing::make_tuple;
#if HAVE_SSE4_1
const PredFuncMode kPredFuncMdArray[] = {
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_sse4_1,
FILTER_DC_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_sse4_1,
FILTER_V_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_sse4_1,
FILTER_H_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_sse4_1,
FILTER_D157_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_sse4_1,
FILTER_PAETH_PRED),
};
const TX_SIZE kTxSize[] = { TX_4X4, TX_8X8, TX_16X16, TX_32X32, TX_4X8,
TX_8X4, TX_8X16, TX_16X8, TX_16X32, TX_32X16,
TX_4X16, TX_16X4, TX_8X32, TX_32X8 };
INSTANTIATE_TEST_SUITE_P(
SSE4_1, AV1FilterIntraPredTest,
::testing::Combine(::testing::ValuesIn(kPredFuncMdArray),
::testing::ValuesIn(kTxSize)));
#endif // HAVE_SSE4_1
#if HAVE_NEON
const PredFuncMode kPredFuncMdArrayNEON[] = {
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_neon,
FILTER_DC_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_neon,
FILTER_V_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_neon,
FILTER_H_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_neon,
FILTER_D157_PRED),
make_tuple(&av1_filter_intra_predictor_c, &av1_filter_intra_predictor_neon,
FILTER_PAETH_PRED),
};
const TX_SIZE kTxSizeNEON[] = { TX_4X4, TX_8X8, TX_16X16, TX_32X32, TX_4X8,
TX_8X4, TX_8X16, TX_16X8, TX_16X32, TX_32X16,
TX_4X16, TX_16X4, TX_8X32, TX_32X8 };
INSTANTIATE_TEST_SUITE_P(
NEON, AV1FilterIntraPredTest,
::testing::Combine(::testing::ValuesIn(kPredFuncMdArrayNEON),
::testing::ValuesIn(kTxSizeNEON)));
#endif // HAVE_NEON
} // namespace
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