412 строки
11 KiB
C++
412 строки
11 KiB
C++
/*
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* Copyright (c) 2012 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include <limits.h>
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#include <stdio.h>
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#include <string.h>
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#include "third_party/googletest/src/include/gtest/gtest.h"
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#include "./vpx_config.h"
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#include "./vpx_dsp_rtcd.h"
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#include "test/acm_random.h"
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#include "test/clear_system_state.h"
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#include "test/register_state_check.h"
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#include "test/util.h"
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#include "vpx_mem/vpx_mem.h"
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using libvpx_test::ACMRandom;
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namespace {
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class AverageTestBase : public ::testing::Test {
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public:
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AverageTestBase(int width, int height) : width_(width), height_(height) {}
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static void SetUpTestCase() {
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source_data_ = reinterpret_cast<uint8_t*>(
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vpx_memalign(kDataAlignment, kDataBlockSize));
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}
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static void TearDownTestCase() {
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vpx_free(source_data_);
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source_data_ = NULL;
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}
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virtual void TearDown() {
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libvpx_test::ClearSystemState();
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}
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protected:
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// Handle blocks up to 4 blocks 64x64 with stride up to 128
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static const int kDataAlignment = 16;
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static const int kDataBlockSize = 64 * 128;
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virtual void SetUp() {
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source_stride_ = (width_ + 31) & ~31;
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rnd_.Reset(ACMRandom::DeterministicSeed());
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}
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// Sum Pixels
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unsigned int ReferenceAverage8x8(const uint8_t* source, int pitch) {
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unsigned int average = 0;
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for (int h = 0; h < 8; ++h)
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for (int w = 0; w < 8; ++w)
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average += source[h * pitch + w];
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return ((average + 32) >> 6);
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}
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unsigned int ReferenceAverage4x4(const uint8_t* source, int pitch) {
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unsigned int average = 0;
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for (int h = 0; h < 4; ++h)
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for (int w = 0; w < 4; ++w)
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average += source[h * pitch + w];
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return ((average + 8) >> 4);
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}
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void FillConstant(uint8_t fill_constant) {
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for (int i = 0; i < width_ * height_; ++i) {
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source_data_[i] = fill_constant;
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}
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}
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void FillRandom() {
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for (int i = 0; i < width_ * height_; ++i) {
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source_data_[i] = rnd_.Rand8();
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}
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}
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int width_, height_;
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static uint8_t* source_data_;
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int source_stride_;
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ACMRandom rnd_;
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};
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typedef unsigned int (*AverageFunction)(const uint8_t* s, int pitch);
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typedef std::tr1::tuple<int, int, int, int, AverageFunction> AvgFunc;
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class AverageTest
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: public AverageTestBase,
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public ::testing::WithParamInterface<AvgFunc>{
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public:
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AverageTest() : AverageTestBase(GET_PARAM(0), GET_PARAM(1)) {}
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protected:
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void CheckAverages() {
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unsigned int expected = 0;
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if (GET_PARAM(3) == 8) {
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expected = ReferenceAverage8x8(source_data_+ GET_PARAM(2),
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source_stride_);
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} else if (GET_PARAM(3) == 4) {
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expected = ReferenceAverage4x4(source_data_+ GET_PARAM(2),
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source_stride_);
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}
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ASM_REGISTER_STATE_CHECK(GET_PARAM(4)(source_data_+ GET_PARAM(2),
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source_stride_));
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unsigned int actual = GET_PARAM(4)(source_data_+ GET_PARAM(2),
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source_stride_);
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EXPECT_EQ(expected, actual);
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}
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};
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typedef void (*IntProRowFunc)(int16_t hbuf[16], uint8_t const *ref,
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const int ref_stride, const int height);
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typedef std::tr1::tuple<int, IntProRowFunc, IntProRowFunc> IntProRowParam;
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class IntProRowTest
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: public AverageTestBase,
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public ::testing::WithParamInterface<IntProRowParam> {
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public:
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IntProRowTest()
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: AverageTestBase(16, GET_PARAM(0)),
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hbuf_asm_(NULL),
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hbuf_c_(NULL) {
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asm_func_ = GET_PARAM(1);
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c_func_ = GET_PARAM(2);
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}
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protected:
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virtual void SetUp() {
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hbuf_asm_ = reinterpret_cast<int16_t*>(
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vpx_memalign(kDataAlignment, sizeof(*hbuf_asm_) * 16));
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hbuf_c_ = reinterpret_cast<int16_t*>(
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vpx_memalign(kDataAlignment, sizeof(*hbuf_c_) * 16));
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}
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virtual void TearDown() {
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vpx_free(hbuf_c_);
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hbuf_c_ = NULL;
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vpx_free(hbuf_asm_);
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hbuf_asm_ = NULL;
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}
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void RunComparison() {
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ASM_REGISTER_STATE_CHECK(c_func_(hbuf_c_, source_data_, 0, height_));
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ASM_REGISTER_STATE_CHECK(asm_func_(hbuf_asm_, source_data_, 0, height_));
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EXPECT_EQ(0, memcmp(hbuf_c_, hbuf_asm_, sizeof(*hbuf_c_) * 16))
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<< "Output mismatch";
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}
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private:
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IntProRowFunc asm_func_;
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IntProRowFunc c_func_;
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int16_t *hbuf_asm_;
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int16_t *hbuf_c_;
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};
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typedef int16_t (*IntProColFunc)(uint8_t const *ref, const int width);
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typedef std::tr1::tuple<int, IntProColFunc, IntProColFunc> IntProColParam;
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class IntProColTest
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: public AverageTestBase,
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public ::testing::WithParamInterface<IntProColParam> {
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public:
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IntProColTest() : AverageTestBase(GET_PARAM(0), 1), sum_asm_(0), sum_c_(0) {
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asm_func_ = GET_PARAM(1);
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c_func_ = GET_PARAM(2);
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}
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protected:
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void RunComparison() {
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ASM_REGISTER_STATE_CHECK(sum_c_ = c_func_(source_data_, width_));
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ASM_REGISTER_STATE_CHECK(sum_asm_ = asm_func_(source_data_, width_));
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EXPECT_EQ(sum_c_, sum_asm_) << "Output mismatch";
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}
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private:
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IntProColFunc asm_func_;
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IntProColFunc c_func_;
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int16_t sum_asm_;
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int16_t sum_c_;
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};
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typedef int (*SatdFunc)(const int16_t *coeffs, int length);
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typedef std::tr1::tuple<int, SatdFunc> SatdTestParam;
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class SatdTest
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: public ::testing::Test,
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public ::testing::WithParamInterface<SatdTestParam> {
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protected:
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virtual void SetUp() {
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satd_size_ = GET_PARAM(0);
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satd_func_ = GET_PARAM(1);
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rnd_.Reset(ACMRandom::DeterministicSeed());
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src_ = reinterpret_cast<int16_t*>(
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vpx_memalign(16, sizeof(*src_) * satd_size_));
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ASSERT_TRUE(src_ != NULL);
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}
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virtual void TearDown() {
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libvpx_test::ClearSystemState();
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vpx_free(src_);
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}
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void FillConstant(const int16_t val) {
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for (int i = 0; i < satd_size_; ++i) src_[i] = val;
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}
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void FillRandom() {
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for (int i = 0; i < satd_size_; ++i) src_[i] = rnd_.Rand16();
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}
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void Check(const int expected) {
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int total;
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ASM_REGISTER_STATE_CHECK(total = satd_func_(src_, satd_size_));
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EXPECT_EQ(expected, total);
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}
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int satd_size_;
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private:
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int16_t *src_;
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SatdFunc satd_func_;
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ACMRandom rnd_;
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};
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uint8_t* AverageTestBase::source_data_ = NULL;
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TEST_P(AverageTest, MinValue) {
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FillConstant(0);
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CheckAverages();
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}
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TEST_P(AverageTest, MaxValue) {
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FillConstant(255);
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CheckAverages();
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}
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TEST_P(AverageTest, Random) {
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// The reference frame, but not the source frame, may be unaligned for
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// certain types of searches.
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for (int i = 0; i < 1000; i++) {
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FillRandom();
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CheckAverages();
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}
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}
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TEST_P(IntProRowTest, MinValue) {
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FillConstant(0);
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RunComparison();
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}
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TEST_P(IntProRowTest, MaxValue) {
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FillConstant(255);
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RunComparison();
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}
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TEST_P(IntProRowTest, Random) {
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FillRandom();
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RunComparison();
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}
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TEST_P(IntProColTest, MinValue) {
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FillConstant(0);
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RunComparison();
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}
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TEST_P(IntProColTest, MaxValue) {
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FillConstant(255);
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RunComparison();
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}
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TEST_P(IntProColTest, Random) {
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FillRandom();
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RunComparison();
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}
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TEST_P(SatdTest, MinValue) {
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const int kMin = -32640;
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const int expected = -kMin * satd_size_;
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FillConstant(kMin);
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Check(expected);
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}
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TEST_P(SatdTest, MaxValue) {
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const int kMax = 32640;
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const int expected = kMax * satd_size_;
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FillConstant(kMax);
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Check(expected);
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}
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TEST_P(SatdTest, Random) {
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int expected;
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switch (satd_size_) {
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case 16: expected = 205298; break;
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case 64: expected = 1113950; break;
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case 256: expected = 4268415; break;
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case 1024: expected = 16954082; break;
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default:
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FAIL() << "Invalid satd size (" << satd_size_
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<< ") valid: 16/64/256/1024";
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}
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FillRandom();
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Check(expected);
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}
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using std::tr1::make_tuple;
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INSTANTIATE_TEST_CASE_P(
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C, AverageTest,
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::testing::Values(
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make_tuple(16, 16, 1, 8, &vpx_avg_8x8_c),
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make_tuple(16, 16, 1, 4, &vpx_avg_4x4_c)));
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INSTANTIATE_TEST_CASE_P(
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C, SatdTest,
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::testing::Values(
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make_tuple(16, &vpx_satd_c),
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make_tuple(64, &vpx_satd_c),
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make_tuple(256, &vpx_satd_c),
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make_tuple(1024, &vpx_satd_c)));
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#if HAVE_SSE2
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INSTANTIATE_TEST_CASE_P(
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SSE2, AverageTest,
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::testing::Values(
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make_tuple(16, 16, 0, 8, &vpx_avg_8x8_sse2),
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make_tuple(16, 16, 5, 8, &vpx_avg_8x8_sse2),
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make_tuple(32, 32, 15, 8, &vpx_avg_8x8_sse2),
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make_tuple(16, 16, 0, 4, &vpx_avg_4x4_sse2),
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make_tuple(16, 16, 5, 4, &vpx_avg_4x4_sse2),
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make_tuple(32, 32, 15, 4, &vpx_avg_4x4_sse2)));
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INSTANTIATE_TEST_CASE_P(
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SSE2, IntProRowTest, ::testing::Values(
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make_tuple(16, &vpx_int_pro_row_sse2, &vpx_int_pro_row_c),
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make_tuple(32, &vpx_int_pro_row_sse2, &vpx_int_pro_row_c),
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make_tuple(64, &vpx_int_pro_row_sse2, &vpx_int_pro_row_c)));
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INSTANTIATE_TEST_CASE_P(
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SSE2, IntProColTest, ::testing::Values(
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make_tuple(16, &vpx_int_pro_col_sse2, &vpx_int_pro_col_c),
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make_tuple(32, &vpx_int_pro_col_sse2, &vpx_int_pro_col_c),
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make_tuple(64, &vpx_int_pro_col_sse2, &vpx_int_pro_col_c)));
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INSTANTIATE_TEST_CASE_P(
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SSE2, SatdTest,
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::testing::Values(
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make_tuple(16, &vpx_satd_sse2),
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make_tuple(64, &vpx_satd_sse2),
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make_tuple(256, &vpx_satd_sse2),
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make_tuple(1024, &vpx_satd_sse2)));
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#endif
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#if HAVE_NEON
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INSTANTIATE_TEST_CASE_P(
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NEON, AverageTest,
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::testing::Values(
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make_tuple(16, 16, 0, 8, &vpx_avg_8x8_neon),
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make_tuple(16, 16, 5, 8, &vpx_avg_8x8_neon),
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make_tuple(32, 32, 15, 8, &vpx_avg_8x8_neon),
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make_tuple(16, 16, 0, 4, &vpx_avg_4x4_neon),
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make_tuple(16, 16, 5, 4, &vpx_avg_4x4_neon),
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make_tuple(32, 32, 15, 4, &vpx_avg_4x4_neon)));
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INSTANTIATE_TEST_CASE_P(
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NEON, IntProRowTest, ::testing::Values(
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make_tuple(16, &vpx_int_pro_row_neon, &vpx_int_pro_row_c),
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make_tuple(32, &vpx_int_pro_row_neon, &vpx_int_pro_row_c),
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make_tuple(64, &vpx_int_pro_row_neon, &vpx_int_pro_row_c)));
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INSTANTIATE_TEST_CASE_P(
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NEON, IntProColTest, ::testing::Values(
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make_tuple(16, &vpx_int_pro_col_neon, &vpx_int_pro_col_c),
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make_tuple(32, &vpx_int_pro_col_neon, &vpx_int_pro_col_c),
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make_tuple(64, &vpx_int_pro_col_neon, &vpx_int_pro_col_c)));
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INSTANTIATE_TEST_CASE_P(
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NEON, SatdTest,
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::testing::Values(
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make_tuple(16, &vpx_satd_neon),
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make_tuple(64, &vpx_satd_neon),
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make_tuple(256, &vpx_satd_neon),
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make_tuple(1024, &vpx_satd_neon)));
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#endif
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#if HAVE_MSA
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INSTANTIATE_TEST_CASE_P(
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MSA, AverageTest,
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::testing::Values(
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make_tuple(16, 16, 0, 8, &vpx_avg_8x8_msa),
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make_tuple(16, 16, 5, 8, &vpx_avg_8x8_msa),
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make_tuple(32, 32, 15, 8, &vpx_avg_8x8_msa),
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make_tuple(16, 16, 0, 4, &vpx_avg_4x4_msa),
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make_tuple(16, 16, 5, 4, &vpx_avg_4x4_msa),
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make_tuple(32, 32, 15, 4, &vpx_avg_4x4_msa)));
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#endif
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} // namespace
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