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random.cpp
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random.cpp
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// Copyright 2020 The Division 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.
// Author [email protected] && [email protected]
#include "pcg_extras.hpp"
#include "pcg_random.hpp"
#include "pcg_uint128.hpp"
#include "pcg_variants.h"
#include <absl/random/random.h>
#include <benchmark/benchmark.h>
#include <bitset>
#include <boost/random.hpp>
#include <functional>
#include <random>
#include <unordered_map>
static void BenchCRandom(benchmark::State &state)
{
srand(std::random_device{}());
for (auto _ : state)
{
auto r=rand();
benchmark::DoNotOptimize(r);
}
}
template <typename G, typename D> static void BenchStdRandom(benchmark::State &state)
{
G gen{std::random_device{}()};
for (auto _ : state)
{
D dis(INT_MIN, INT_MAX);
auto r = dis(gen);
benchmark::DoNotOptimize(r);
}
}
BENCHMARK(BenchCRandom);
BENCHMARK_TEMPLATE(BenchStdRandom, std::minstd_rand0, std::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::minstd_rand0, std::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::minstd_rand0, std::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::minstd_rand, std::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::minstd_rand, std::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::minstd_rand, std::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::mt19937, std::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::mt19937, std::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::mt19937, std::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::mt19937_64, std::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::mt19937_64, std::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, std::mt19937_64, std::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, pcg32_fast, std::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, pcg32_fast, std::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, pcg32_fast, std::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, pcg64_fast, std::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, pcg64_fast, std::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchStdRandom, pcg64_fast, std::normal_distribution<>);
template <typename G, typename D> static void BenchBoostRandom(benchmark::State &state)
{
G gen{std::random_device{}()};
for (auto _ : state)
{
D dis(INT_MIN, INT_MAX);
auto r=dis(gen);
benchmark::DoNotOptimize(r);
}
}
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::minstd_rand0, boost::random::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::minstd_rand0, boost::random::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::minstd_rand0, boost::random::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::minstd_rand, boost::random::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::minstd_rand, boost::random::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::minstd_rand, boost::random::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt19937, boost::random::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt19937, boost::random::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt19937, boost::random::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt19937_64, boost::random::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt19937_64, boost::random::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt19937_64, boost::random::normal_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt11213b, boost::random::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt11213b, boost::random::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchBoostRandom, boost::mt11213b, boost::random::normal_distribution<>);
template <typename P, typename D> static void BenchAbRandom(benchmark::State &state)
{
P p{std::random_device{}()};
for (auto _ : state)
{
D dis(INT_MIN, INT_MAX);
auto r=dis(p);
benchmark::DoNotOptimize(r);
}
}
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::pcg32_2018_engine, absl::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::pcg32_2018_engine, absl::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::pcg32_2018_engine, absl::log_uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::pcg64_2018_engine, absl::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::pcg64_2018_engine, absl::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::pcg64_2018_engine, absl::log_uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::randen_engine<uint32_t>, absl::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::randen_engine<uint32_t>, absl::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::randen_engine<uint32_t>, absl::log_uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::randen_engine<uint64_t>, absl::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::randen_engine<uint64_t>, absl::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, absl::random_internal::randen_engine<uint64_t>, absl::log_uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, pcg32_fast, absl::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, pcg32_fast, absl::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, pcg32_fast, absl::log_uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, pcg64_fast, absl::uniform_int_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, pcg64_fast, absl::uniform_real_distribution<>);
BENCHMARK_TEMPLATE(BenchAbRandom, pcg64_fast, absl::log_uniform_int_distribution<>);
int main(int argc, char **argv)
{
// pcg_engines::setseq_rxs_m_xs_16_16 ss;
// ss.seed(time(nullptr));
// {
//
// pcg16i_random_t rng;
// pcg16i_srandom_r(&rng, 0, 0);
// std::cout << rng.state << " " << rng.inc << '\n';
// pcg16i_advance_r(&rng, 65535);
// std::cout << rng.state << " " << rng.inc << '\n';
// std::cout << "0 " << pcg16i_random_r(&rng) << '\n';
// std::cout << "1 " << pcg16i_random_r(&rng) << '\n';
// std::cout << "0 " << pcg16i_random_r(&rng) << '\n';
// std::cout << "1 " << pcg16i_random_r(&rng) << '\n';
// std::cout << "1 " << pcg16i_random_r(&rng) << '\n';
// std::cout << "1 " << pcg16i_random_r(&rng) << '\n';
// std::cout << "1 " << pcg16i_random_r(&rng) << '\n';
// std::unordered_map<uint16_t, uint16_t> mp;
// for (auto i{0}; i < 100000; i++)
// {
// auto s = pcg16i_random_r(&rng);
// if (mp[s]++ == 1)
// {
// std::cout << i << ' ' << s << '\n';
// break;
// }
// }
// }
// {
// pcg32i_random_t rng;
// pcg32i_srandom_r(&rng, 0, 0);
// std::vector<uint8_t> bset(size_t(UINT32_MAX) + 100, 0);
// for (size_t i{0}; i < size_t(UINT32_MAX) + 100; i++)
// {
// auto s = pcg32i_random_r(&rng);
// if (bset[s])
// {
// std::cout << i << ' ' << s << '\n';
// break;
// }
// bset[s] = 1;
// }
// }
// {
// std::linear_congruential_engine<uint32_t, 75, 74, 65537> lce;
// lce.seed(123456);
// std::unordered_map<uint16_t, uint16_t> mp;
// for (auto i{0}; i < 100000; i++)
// {
// auto s = lce();
// if (mp[s]++ == 1)
// {
// std::cout << i << ' ' << s << '\n';
// break;
// }
// }
// }
benchmark::Initialize(&argc, argv);
benchmark::RunSpecifiedBenchmarks();
return 0;
}