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Fix #1911: add benchmark for move semantics with fixed-size matrix
$ 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
This commit is contained in:
committed by
Rasmus Munk Larsen
parent
a7d2552af8
commit
39cbd6578f
35
test/MovableScalar.h
Normal file
35
test/MovableScalar.h
Normal file
@@ -0,0 +1,35 @@
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// 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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#ifndef EIGEN_MISC_MOVABLE_SCALAR_H
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#define EIGEN_MISC_MOVABLE_SCALAR_H
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#include <vector>
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namespace Eigen
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{
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template <typename Scalar, typename Base = std::vector<Scalar>>
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struct MovableScalar : public Base
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{
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MovableScalar() = default;
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~MovableScalar() = default;
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MovableScalar(const MovableScalar&) = default;
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MovableScalar(MovableScalar&& other) = default;
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MovableScalar& operator=(const MovableScalar&) = default;
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MovableScalar& operator=(MovableScalar&& other) = default;
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MovableScalar(Scalar scalar) : Base(100, scalar) {}
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operator Scalar() const { return this->size() > 0 ? this->back() : Scalar(); }
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};
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template<> struct NumTraits<MovableScalar<float>> : GenericNumTraits<float> {};
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}
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#endif
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@@ -10,6 +10,9 @@
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#define EIGEN_RUNTIME_NO_MALLOC
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#include "main.h"
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#if EIGEN_HAS_CXX11
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#include "MovableScalar.h"
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#endif
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#include <Eigen/Core>
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@@ -75,11 +78,43 @@ void rvalue_transpositions(Index rows)
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Eigen::internal::set_is_malloc_allowed(true);
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}
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template <typename MatrixType>
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void rvalue_move(const MatrixType& m)
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{
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// lvalue reference is copied
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MatrixType b(m);
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VERIFY_IS_EQUAL(b, m);
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// lvalue reference is copied
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MatrixType c{m};
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VERIFY_IS_EQUAL(c, m);
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// lvalue reference is copied
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MatrixType d = m;
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VERIFY_IS_EQUAL(d, m);
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// rvalue reference is moved
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MatrixType e_src(m);
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VERIFY_IS_EQUAL(e_src, m);
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MatrixType e_dst(std::move(e_src));
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VERIFY_IS_EQUAL(e_src, MatrixType());
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VERIFY_IS_EQUAL(e_dst, m);
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// rvalue reference is moved
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MatrixType f_src(m);
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VERIFY_IS_EQUAL(f_src, m);
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MatrixType f_dst = std::move(f_src);
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VERIFY_IS_EQUAL(f_src, MatrixType());
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VERIFY_IS_EQUAL(f_dst, m);
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}
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#else
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template <typename MatrixType>
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void rvalue_copyassign(const MatrixType&) {}
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template<typename TranspositionsType>
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void rvalue_transpositions(Index) {}
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template <typename MatrixType>
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void rvalue_move(const MatrixType&) {}
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#endif
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EIGEN_DECLARE_TEST(rvalue_types)
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@@ -106,5 +141,9 @@ EIGEN_DECLARE_TEST(rvalue_types)
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CALL_SUBTEST_3((rvalue_transpositions<PermutationMatrix<Dynamic, Dynamic, Index> >(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
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CALL_SUBTEST_4((rvalue_transpositions<Transpositions<Dynamic, Dynamic, int> >(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
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CALL_SUBTEST_4((rvalue_transpositions<Transpositions<Dynamic, Dynamic, Index> >(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
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#if EIGEN_HAS_CXX11
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CALL_SUBTEST_5(rvalue_move(Eigen::Matrix<MovableScalar<float>,1,3>::Random().eval()));
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#endif
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}
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}
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