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$ clang++ -O3 bench/bench_move_semantics.cpp -I. -std=c++11 \
-o bench_move_semantics
$ ./bench_move_semantics
float copy semantics: 1755.97 ms
float move semantics: 55.063 ms
double copy semantics: 2457.65 ms
double move semantics: 55.034 ms
58 lines
1.3 KiB
C++
58 lines
1.3 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2020 Sebastien Boisvert <seb@boisvert.info>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "BenchTimer.h"
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#include "../test/MovableScalar.h"
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#include <Eigen/Core>
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#include <iostream>
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#include <utility>
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template <typename MatrixType>
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void copy_matrix(MatrixType& m)
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{
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MatrixType tmp(m);
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m = tmp;
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}
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template <typename MatrixType>
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void move_matrix(MatrixType&& m)
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{
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MatrixType tmp(std::move(m));
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m = std::move(tmp);
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}
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template<typename Scalar>
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void bench(const std::string& label)
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{
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using MatrixType = Eigen::Matrix<Eigen::MovableScalar<Scalar>,1,10>;
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Eigen::BenchTimer t;
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int tries = 10;
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int rep = 1000000;
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MatrixType data = MatrixType::Random().eval();
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MatrixType dest;
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BENCH(t, tries, rep, copy_matrix(data));
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std::cout << label << " copy semantics: " << 1e3*t.best(Eigen::CPU_TIMER) << " ms" << std::endl;
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BENCH(t, tries, rep, move_matrix(std::move(data)));
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std::cout << label << " move semantics: " << 1e3*t.best(Eigen::CPU_TIMER) << " ms" << std::endl;
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}
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int main()
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{
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bench<float>("float");
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bench<double>("double");
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return 0;
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}
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