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merge(3p/abseil_cpp): Merge upstream at 'ccdbb5941'

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Change-Id: I6e85fc7b5f76bba1f1eef15e600a8acb64e97ef5
This commit is contained in:
Vincent Ambo 2020-06-17 14:53:11 +01:00
commit 543379ce45
97 changed files with 3546 additions and 2316 deletions
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161
third_party/abseil_cpp/absl/numeric/int128_benchmark.cc vendored
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@ -12,15 +12,15 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include "absl/numeric/int128.h"
#include <algorithm>
#include <cstdint>
#include <limits>
#include <random>
#include <vector>
#include "benchmark/benchmark.h"
#include "absl/base/config.h"
#include "absl/numeric/int128.h"
namespace {
@ -32,57 +32,85 @@ std::mt19937 MakeRandomEngine() {
return std::mt19937(seed);
}
std::vector<std::pair<absl::uint128, absl::uint128>>
GetRandomClass128SampleUniformDivisor() {
std::vector<std::pair<absl::uint128, absl::uint128>> values;
template <typename T,
typename H = typename std::conditional<
std::numeric_limits<T>::is_signed, int64_t, uint64_t>::type>
std::vector<std::pair<T, T>> GetRandomClass128SampleUniformDivisor() {
std::vector<std::pair<T, T>> values;
std::mt19937 random = MakeRandomEngine();
std::uniform_int_distribution<uint64_t> uniform_uint64;
std::uniform_int_distribution<H> uniform_h;
values.reserve(kSampleSize);
for (size_t i = 0; i < kSampleSize; ++i) {
absl::uint128 a =
absl::MakeUint128(uniform_uint64(random), uniform_uint64(random));
absl::uint128 b =
absl::MakeUint128(uniform_uint64(random), uniform_uint64(random));
values.emplace_back(std::max(a, b),
std::max(absl::uint128(2), std::min(a, b)));
T a{absl::MakeUint128(uniform_h(random), uniform_h(random))};
T b{absl::MakeUint128(uniform_h(random), uniform_h(random))};
values.emplace_back(std::max(a, b), std::max(T(2), std::min(a, b)));
}
return values;
}
template <typename T>
void BM_DivideClass128UniformDivisor(benchmark::State& state) {
auto values = GetRandomClass128SampleUniformDivisor();
auto values = GetRandomClass128SampleUniformDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first / pair.second);
}
}
}
BENCHMARK(BM_DivideClass128UniformDivisor);
BENCHMARK_TEMPLATE(BM_DivideClass128UniformDivisor, absl::uint128);
BENCHMARK_TEMPLATE(BM_DivideClass128UniformDivisor, absl::int128);
std::vector<std::pair<absl::uint128, uint64_t>>
GetRandomClass128SampleSmallDivisor() {
std::vector<std::pair<absl::uint128, uint64_t>> values;
template <typename T>
void BM_RemainderClass128UniformDivisor(benchmark::State& state) {
auto values = GetRandomClass128SampleUniformDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first % pair.second);
}
}
}
BENCHMARK_TEMPLATE(BM_RemainderClass128UniformDivisor, absl::uint128);
BENCHMARK_TEMPLATE(BM_RemainderClass128UniformDivisor, absl::int128);
template <typename T,
typename H = typename std::conditional<
std::numeric_limits<T>::is_signed, int64_t, uint64_t>::type>
std::vector<std::pair<T, H>> GetRandomClass128SampleSmallDivisor() {
std::vector<std::pair<T, H>> values;
std::mt19937 random = MakeRandomEngine();
std::uniform_int_distribution<uint64_t> uniform_uint64;
std::uniform_int_distribution<H> uniform_h;
values.reserve(kSampleSize);
for (size_t i = 0; i < kSampleSize; ++i) {
absl::uint128 a =
absl::MakeUint128(uniform_uint64(random), uniform_uint64(random));
uint64_t b = std::max(uint64_t{2}, uniform_uint64(random));
values.emplace_back(std::max(a, absl::uint128(b)), b);
T a{absl::MakeUint128(uniform_h(random), uniform_h(random))};
H b{std::max(H{2}, uniform_h(random))};
values.emplace_back(std::max(a, T(b)), b);
}
return values;
}
template <typename T>
void BM_DivideClass128SmallDivisor(benchmark::State& state) {
auto values = GetRandomClass128SampleSmallDivisor();
auto values = GetRandomClass128SampleSmallDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first / pair.second);
}
}
}
BENCHMARK(BM_DivideClass128SmallDivisor);
BENCHMARK_TEMPLATE(BM_DivideClass128SmallDivisor, absl::uint128);
BENCHMARK_TEMPLATE(BM_DivideClass128SmallDivisor, absl::int128);
template <typename T>
void BM_RemainderClass128SmallDivisor(benchmark::State& state) {
auto values = GetRandomClass128SampleSmallDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first % pair.second);
}
}
}
BENCHMARK_TEMPLATE(BM_RemainderClass128SmallDivisor, absl::uint128);
BENCHMARK_TEMPLATE(BM_RemainderClass128SmallDivisor, absl::int128);
std::vector<std::pair<absl::uint128, absl::uint128>> GetRandomClass128Sample() {
std::vector<std::pair<absl::uint128, absl::uint128>> values;
@ -121,74 +149,107 @@ BENCHMARK(BM_AddClass128);
// Some implementations of <random> do not support __int128 when it is
// available, so we make our own uniform_int_distribution-like type.
template <typename T,
typename H = typename std::conditional<
std::is_same<T, __int128>::value, int64_t, uint64_t>::type>
class UniformIntDistribution128 {
public:
// NOLINTNEXTLINE: mimicking std::uniform_int_distribution API
unsigned __int128 operator()(std::mt19937& generator) {
return (static_cast<unsigned __int128>(dist64_(generator)) << 64) |
dist64_(generator);
T operator()(std::mt19937& generator) {
return (static_cast<T>(dist64_(generator)) << 64) | dist64_(generator);
}
private:
std::uniform_int_distribution<uint64_t> dist64_;
std::uniform_int_distribution<H> dist64_;
};
std::vector<std::pair<unsigned __int128, unsigned __int128>>
GetRandomIntrinsic128SampleUniformDivisor() {
std::vector<std::pair<unsigned __int128, unsigned __int128>> values;
template <typename T,
typename H = typename std::conditional<
std::is_same<T, __int128>::value, int64_t, uint64_t>::type>
std::vector<std::pair<T, T>> GetRandomIntrinsic128SampleUniformDivisor() {
std::vector<std::pair<T, T>> values;
std::mt19937 random = MakeRandomEngine();
UniformIntDistribution128 uniform_uint128;
UniformIntDistribution128<T> uniform_128;
values.reserve(kSampleSize);
for (size_t i = 0; i < kSampleSize; ++i) {
unsigned __int128 a = uniform_uint128(random);
unsigned __int128 b = uniform_uint128(random);
values.emplace_back(
std::max(a, b),
std::max(static_cast<unsigned __int128>(2), std::min(a, b)));
T a = uniform_128(random);
T b = uniform_128(random);
values.emplace_back(std::max(a, b),
std::max(static_cast<T>(2), std::min(a, b)));
}
return values;
}
template <typename T>
void BM_DivideIntrinsic128UniformDivisor(benchmark::State& state) {
auto values = GetRandomIntrinsic128SampleUniformDivisor();
auto values = GetRandomIntrinsic128SampleUniformDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first / pair.second);
}
}
}
BENCHMARK(BM_DivideIntrinsic128UniformDivisor);
BENCHMARK_TEMPLATE(BM_DivideIntrinsic128UniformDivisor, unsigned __int128);
BENCHMARK_TEMPLATE(BM_DivideIntrinsic128UniformDivisor, __int128);
std::vector<std::pair<unsigned __int128, uint64_t>>
GetRandomIntrinsic128SampleSmallDivisor() {
std::vector<std::pair<unsigned __int128, uint64_t>> values;
template <typename T>
void BM_RemainderIntrinsic128UniformDivisor(benchmark::State& state) {
auto values = GetRandomIntrinsic128SampleUniformDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first % pair.second);
}
}
}
BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128UniformDivisor, unsigned __int128);
BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128UniformDivisor, __int128);
template <typename T,
typename H = typename std::conditional<
std::is_same<T, __int128>::value, int64_t, uint64_t>::type>
std::vector<std::pair<T, H>> GetRandomIntrinsic128SampleSmallDivisor() {
std::vector<std::pair<T, H>> values;
std::mt19937 random = MakeRandomEngine();
UniformIntDistribution128 uniform_uint128;
std::uniform_int_distribution<uint64_t> uniform_uint64;
UniformIntDistribution128<T> uniform_int128;
std::uniform_int_distribution<H> uniform_int64;
values.reserve(kSampleSize);
for (size_t i = 0; i < kSampleSize; ++i) {
unsigned __int128 a = uniform_uint128(random);
uint64_t b = std::max(uint64_t{2}, uniform_uint64(random));
values.emplace_back(std::max(a, static_cast<unsigned __int128>(b)), b);
T a = uniform_int128(random);
H b = std::max(H{2}, uniform_int64(random));
values.emplace_back(std::max(a, static_cast<T>(b)), b);
}
return values;
}
template <typename T>
void BM_DivideIntrinsic128SmallDivisor(benchmark::State& state) {
auto values = GetRandomIntrinsic128SampleSmallDivisor();
auto values = GetRandomIntrinsic128SampleSmallDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first / pair.second);
}
}
}
BENCHMARK(BM_DivideIntrinsic128SmallDivisor);
BENCHMARK_TEMPLATE(BM_DivideIntrinsic128SmallDivisor, unsigned __int128);
BENCHMARK_TEMPLATE(BM_DivideIntrinsic128SmallDivisor, __int128);
template <typename T>
void BM_RemainderIntrinsic128SmallDivisor(benchmark::State& state) {
auto values = GetRandomIntrinsic128SampleSmallDivisor<T>();
while (state.KeepRunningBatch(values.size())) {
for (const auto& pair : values) {
benchmark::DoNotOptimize(pair.first % pair.second);
}
}
}
BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128SmallDivisor, unsigned __int128);
BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128SmallDivisor, __int128);
std::vector<std::pair<unsigned __int128, unsigned __int128>>
GetRandomIntrinsic128Sample() {
std::vector<std::pair<unsigned __int128, unsigned __int128>> values;
std::mt19937 random = MakeRandomEngine();
UniformIntDistribution128 uniform_uint128;
UniformIntDistribution128<unsigned __int128> uniform_uint128;
values.reserve(kSampleSize);
for (size_t i = 0; i < kSampleSize; ++i) {
values.emplace_back(uniform_uint128(random), uniform_uint128(random));