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Diffstat (limited to 'third_party/abseil_cpp/absl/numeric/int128_benchmark.cc')
| -rw-r--r-- | third_party/abseil_cpp/absl/numeric/int128_benchmark.cc | 282 |
1 files changed, 0 insertions, 282 deletions
diff --git a/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc b/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc deleted file mode 100644 index eab1515c0ad8..000000000000 --- a/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc +++ /dev/null @@ -1,282 +0,0 @@ -// Copyright 2017 The Abseil Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// https://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#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 { - -constexpr size_t kSampleSize = 1000000; - -std::mt19937 MakeRandomEngine() { - std::random_device r; - std::seed_seq seed({r(), r(), r(), r(), r(), r(), r(), r()}); - return std::mt19937(seed); -} - -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<H> uniform_h; - values.reserve(kSampleSize); - for (size_t i = 0; i < kSampleSize; ++i) { - 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<T>(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first / pair.second); - } - } -} -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); - -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<H> uniform_h; - values.reserve(kSampleSize); - for (size_t i = 0; i < kSampleSize; ++i) { - 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<T>(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first / pair.second); - } - } -} -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; - std::mt19937 random = MakeRandomEngine(); - std::uniform_int_distribution<uint64_t> uniform_uint64; - values.reserve(kSampleSize); - for (size_t i = 0; i < kSampleSize; ++i) { - values.emplace_back( - absl::MakeUint128(uniform_uint64(random), uniform_uint64(random)), - absl::MakeUint128(uniform_uint64(random), uniform_uint64(random))); - } - return values; -} - -void BM_MultiplyClass128(benchmark::State& state) { - auto values = GetRandomClass128Sample(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first * pair.second); - } - } -} -BENCHMARK(BM_MultiplyClass128); - -void BM_AddClass128(benchmark::State& state) { - auto values = GetRandomClass128Sample(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first + pair.second); - } - } -} -BENCHMARK(BM_AddClass128); - -#ifdef ABSL_HAVE_INTRINSIC_INT128 - -// 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 - T operator()(std::mt19937& generator) { - return (static_cast<T>(dist64_(generator)) << 64) | dist64_(generator); - } - - private: - std::uniform_int_distribution<H> dist64_; -}; - -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<T> uniform_128; - values.reserve(kSampleSize); - for (size_t i = 0; i < kSampleSize; ++i) { - 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<T>(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first / pair.second); - } - } -} -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); - -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<T> uniform_int128; - std::uniform_int_distribution<H> uniform_int64; - values.reserve(kSampleSize); - for (size_t i = 0; i < kSampleSize; ++i) { - 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<T>(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first / pair.second); - } - } -} -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<unsigned __int128> uniform_uint128; - values.reserve(kSampleSize); - for (size_t i = 0; i < kSampleSize; ++i) { - values.emplace_back(uniform_uint128(random), uniform_uint128(random)); - } - return values; -} - -void BM_MultiplyIntrinsic128(benchmark::State& state) { - auto values = GetRandomIntrinsic128Sample(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first * pair.second); - } - } -} -BENCHMARK(BM_MultiplyIntrinsic128); - -void BM_AddIntrinsic128(benchmark::State& state) { - auto values = GetRandomIntrinsic128Sample(); - while (state.KeepRunningBatch(values.size())) { - for (const auto& pair : values) { - benchmark::DoNotOptimize(pair.first + pair.second); - } - } -} -BENCHMARK(BM_AddIntrinsic128); - -#endif // ABSL_HAVE_INTRINSIC_INT128 - -} // namespace |