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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 <cmath>
#include <cstdlib>
#include <string>
#include "third_party/googletest/src/googletest/include/gtest/gtest.h"
#include "config/aom_config.h"
#include "config/aom_dsp_rtcd.h"
#include "aom_ports/mem.h"
#include "test/acm_random.h"
#include "test/clear_system_state.h"
#include "test/register_state_check.h"
#include "test/util.h"
#include "test/function_equivalence_test.h"
using libaom_test::ACMRandom;
using libaom_test::FunctionEquivalenceTest;
namespace {
const int kNumIterations = 10000;
static const int16_t kInt13Max = (1 << 12) - 1;
typedef uint64_t (*SSI16Func)(const int16_t *src, int stride, int width,
int height);
typedef libaom_test::FuncParam<SSI16Func> TestFuncs;
class SumSquaresTest : public ::testing::TestWithParam<TestFuncs> {
public:
virtual ~SumSquaresTest() {}
virtual void SetUp() {
params_ = this->GetParam();
rnd_.Reset(ACMRandom::DeterministicSeed());
src_ = reinterpret_cast<int16_t *>(aom_memalign(16, 256 * 256 * 2));
ASSERT_TRUE(src_ != NULL);
}
virtual void TearDown() {
libaom_test::ClearSystemState();
aom_free(src_);
}
void RunTest(int isRandom);
void GenRandomData(int width, int height, int stride) {
const int msb = 11; // Up to 12 bit input
const int limit = 1 << (msb + 1);
for (int ii = 0; ii < height; ii++) {
for (int jj = 0; jj < width; jj++) {
src_[ii * stride + jj] = rnd_(2) ? rnd_(limit) : -rnd_(limit);
}
}
}
void GenExtremeData(int width, int height, int stride) {
const int msb = 11; // Up to 12 bit input
const int limit = 1 << (msb + 1);
const int val = rnd_(2) ? limit - 1 : -(limit - 1);
for (int ii = 0; ii < height; ii++) {
for (int jj = 0; jj < width; jj++) {
src_[ii * stride + jj] = val;
}
}
}
protected:
TestFuncs params_;
int16_t *src_;
ACMRandom rnd_;
};
void SumSquaresTest::RunTest(int isRandom) {
int failed = 0;
for (int k = 0; k < kNumIterations; k++) {
const int width = 4 * (rnd_(31) + 1); // Up to 128x128
const int height = 4 * (rnd_(31) + 1); // Up to 128x128
int stride = 4 << rnd_(7); // Up to 256 stride
while (stride < width) { // Make sure it's valid
stride = 4 << rnd_(7);
}
if (isRandom) {
GenRandomData(width, height, stride);
} else {
GenExtremeData(width, height, stride);
}
const uint64_t res_ref = params_.ref_func(src_, stride, width, height);
uint64_t res_tst;
ASM_REGISTER_STATE_CHECK(res_tst =
params_.tst_func(src_, stride, width, height));
if (!failed) {
failed = res_ref != res_tst;
EXPECT_EQ(res_ref, res_tst)
<< "Error: Sum Squares Test [" << width << "x" << height
<< "] C output does not match optimized output.";
}
}
}
TEST_P(SumSquaresTest, OperationCheck) {
RunTest(1); // GenRandomData
}
TEST_P(SumSquaresTest, ExtremeValues) {
RunTest(0); // GenExtremeData
}
#if HAVE_SSE2
INSTANTIATE_TEST_CASE_P(
SSE2, SumSquaresTest,
::testing::Values(TestFuncs(&aom_sum_squares_2d_i16_c,
&aom_sum_squares_2d_i16_sse2)));
#endif // HAVE_SSE2
//////////////////////////////////////////////////////////////////////////////
// 1D version
//////////////////////////////////////////////////////////////////////////////
typedef uint64_t (*F1D)(const int16_t *src, uint32_t N);
typedef libaom_test::FuncParam<F1D> TestFuncs1D;
class SumSquares1DTest : public FunctionEquivalenceTest<F1D> {
protected:
static const int kIterations = 1000;
static const int kMaxSize = 256;
};
TEST_P(SumSquares1DTest, RandomValues) {
DECLARE_ALIGNED(16, int16_t, src[kMaxSize * kMaxSize]);
for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
for (int i = 0; i < kMaxSize * kMaxSize; ++i)
src[i] = rng_(kInt13Max * 2 + 1) - kInt13Max;
const int N = rng_(2) ? rng_(kMaxSize * kMaxSize + 1 - kMaxSize) + kMaxSize
: rng_(kMaxSize) + 1;
const uint64_t ref_res = params_.ref_func(src, N);
uint64_t tst_res;
ASM_REGISTER_STATE_CHECK(tst_res = params_.tst_func(src, N));
ASSERT_EQ(ref_res, tst_res);
}
}
TEST_P(SumSquares1DTest, ExtremeValues) {
DECLARE_ALIGNED(16, int16_t, src[kMaxSize * kMaxSize]);
for (int iter = 0; iter < kIterations && !HasFatalFailure(); ++iter) {
if (rng_(2)) {
for (int i = 0; i < kMaxSize * kMaxSize; ++i) src[i] = kInt13Max;
} else {
for (int i = 0; i < kMaxSize * kMaxSize; ++i) src[i] = -kInt13Max;
}
const int N = rng_(2) ? rng_(kMaxSize * kMaxSize + 1 - kMaxSize) + kMaxSize
: rng_(kMaxSize) + 1;
const uint64_t ref_res = params_.ref_func(src, N);
uint64_t tst_res;
ASM_REGISTER_STATE_CHECK(tst_res = params_.tst_func(src, N));
ASSERT_EQ(ref_res, tst_res);
}
}
#if HAVE_SSE2
INSTANTIATE_TEST_CASE_P(SSE2, SumSquares1DTest,
::testing::Values(TestFuncs1D(
aom_sum_squares_i16_c, aom_sum_squares_i16_sse2)));
#endif // HAVE_SSE2
} // namespace
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