diff options
Diffstat (limited to 'third_party/abseil_cpp/absl/numeric/int128_benchmark.cc')
-rw-r--r-- | third_party/abseil_cpp/absl/numeric/int128_benchmark.cc | 161 |
1 files changed, 111 insertions, 50 deletions
diff --git a/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc b/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc index a5502d927c08..eab1515c0ad8 100644 --- a/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc +++ b/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc @@ -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); + +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); -std::vector<std::pair<absl::uint128, uint64_t>> -GetRandomClass128SampleSmallDivisor() { - std::vector<std::pair<absl::uint128, uint64_t>> 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, 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); + +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); -std::vector<std::pair<unsigned __int128, uint64_t>> -GetRandomIntrinsic128SampleSmallDivisor() { - std::vector<std::pair<unsigned __int128, uint64_t>> 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, 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)); |