aom/test/sum_squares_test.cc

193 строки
5.3 KiB
C++

/*
* Copyright (c) 2014 The WebM project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include <cmath>
#include <cstdlib>
#include <string>
#include "third_party/googletest/src/include/gtest/gtest.h"
#include "./vpx_config.h"
#include "./vpx_dsp_rtcd.h"
#include "vpx_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 libvpx_test::ACMRandom;
using libvpx_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 size);
typedef libvpx_test::FuncParam<SSI16Func> TestFuncs;
class SumSquaresTest :
public ::testing::TestWithParam<TestFuncs> {
public:
virtual ~SumSquaresTest() {}
virtual void SetUp() {
params_ = this->GetParam();
}
virtual void TearDown() { libvpx_test::ClearSystemState(); }
protected:
TestFuncs params_;
};
TEST_P(SumSquaresTest, OperationCheck) {
ACMRandom rnd(ACMRandom::DeterministicSeed());
DECLARE_ALIGNED(16, int16_t, src[256*256]);
int failed = 0;
const int msb = 11; // Up to 12 bit input
const int limit = 1 << (msb+1);
for (int k = 0; k < kNumIterations; k++) {
int size = 4 << rnd(6); // Up to 128x128
int stride = 4 << rnd(7); // Up to 256 stride
while (stride < size) { // Make sure it's valid
stride = 4 << rnd(7);
}
for (int ii = 0 ; ii < size; ii++) {
for (int jj = 0; jj < size; jj++) {
src[ii*stride+jj] = rnd(2) ? rnd(limit) : -rnd(limit);
}
}
const uint64_t res_ref = params_.ref_func(src, stride, size);
uint64_t res_tst;
ASM_REGISTER_STATE_CHECK(res_tst = params_.tst_func(src, stride, size));
if (!failed) {
failed = res_ref != res_tst;
EXPECT_EQ(res_ref, res_tst)
<< "Error: Sum Squares Test"
<< " C output does not match optimized output.";
}
}
}
TEST_P(SumSquaresTest, ExtremeValues) {
ACMRandom rnd(ACMRandom::DeterministicSeed());
DECLARE_ALIGNED(16, int16_t, src[256*256]);
int failed = 0;
const int msb = 11; // Up to 12 bit input
const int limit = 1 << (msb+1);
for (int k = 0; k < kNumIterations; k++) {
int size = 4 << rnd(6); // Up to 128x128
int stride = 4 << rnd(7); // Up to 256 stride
while (stride < size) { // Make sure it's valid
stride = 4 << rnd(7);
}
int val = rnd(2) ? limit-1 : -(limit-1);
for (int ii = 0 ; ii < size; ii++) {
for (int jj = 0; jj < size; jj++) {
src[ii*stride+jj] = val;
}
}
const uint64_t res_ref = params_.ref_func(src, stride, size);
uint64_t res_tst;
ASM_REGISTER_STATE_CHECK(res_tst = params_.tst_func(src, stride, size));
if (!failed) {
failed = res_ref != res_tst;
EXPECT_EQ(res_ref, res_tst)
<< "Error: Sum Squares Test"
<< " C output does not match optimized output.";
}
}
}
#if HAVE_SSE2
INSTANTIATE_TEST_CASE_P(
SSE2, SumSquaresTest,
::testing::Values(
TestFuncs(&vpx_sum_squares_2d_i16_c, &vpx_sum_squares_2d_i16_sse2)));
#endif // HAVE_SSE2
//////////////////////////////////////////////////////////////////////////////
// 1D version
//////////////////////////////////////////////////////////////////////////////
typedef uint64_t (*F1D)(const int16_t *src, uint32_t N);
typedef libvpx_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(vpx_sum_squares_i16_c, vpx_sum_squares_i16_sse2)));
#endif // HAVE_SSE2
} // namespace