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107 lines
3.8 KiB
C++
107 lines
3.8 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) 2008 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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#include <typeinfo>
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template<typename Dst, typename Src>
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bool test_assign(const Dst&, const Src&, int vectorization, int unrolling)
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{
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return ei_assign_traits<Dst,Src>::Vectorization==vectorization
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&& ei_assign_traits<Dst,Src>::Unrolling==unrolling;
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}
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template<typename Xpr>
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bool test_redux(const Xpr&, int vectorization, int unrolling)
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{
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typedef ei_redux_traits<ei_scalar_sum_op<typename Xpr::Scalar>,Xpr> traits;
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return traits::Vectorization==vectorization && traits::Unrolling==unrolling;
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}
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void test_vectorization_logic()
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{
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#ifdef EIGEN_VECTORIZE
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VERIFY(test_assign(Vector4f(),Vector4f(),
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InnerVectorization,CompleteUnrolling));
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VERIFY(test_assign(Vector4f(),Vector4f()+Vector4f(),
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InnerVectorization,CompleteUnrolling));
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VERIFY(test_assign(Vector4f(),Vector4f().cwise() * Vector4f(),
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InnerVectorization,CompleteUnrolling));
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VERIFY(test_assign(Vector4f(),Vector4f().cast<float>(),
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InnerVectorization,CompleteUnrolling));
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VERIFY(test_assign(Matrix4f(),Matrix4f(),
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InnerVectorization,CompleteUnrolling));
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VERIFY(test_assign(Matrix4f(),Matrix4f()+Matrix4f(),
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InnerVectorization,CompleteUnrolling));
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VERIFY(test_assign(Matrix4f(),Matrix4f().cwise() * Matrix4f(),
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InnerVectorization,CompleteUnrolling));
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VERIFY(test_assign(Matrix<float,16,16>(),Matrix<float,16,16>()+Matrix<float,16,16>(),
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InnerVectorization,InnerUnrolling));
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VERIFY(test_assign(Matrix<float,16,16,DontAlign>(),Matrix<float,16,16>()+Matrix<float,16,16>(),
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NoVectorization,InnerUnrolling));
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VERIFY(test_assign(Matrix<float,6,2>(),Matrix<float,6,2>().cwise() / Matrix<float,6,2>(),
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LinearVectorization,CompleteUnrolling));
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VERIFY(test_assign(Matrix<float,17,17>(),Matrix<float,17,17>()+Matrix<float,17,17>(),
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NoVectorization,InnerUnrolling));
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VERIFY(test_assign(Matrix<float,4,4>(),Matrix<float,17,17>().block<4,4>(2,3)+Matrix<float,17,17>().block<4,4>(10,4),
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NoVectorization,CompleteUnrolling));
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VERIFY(test_assign(MatrixXf(10,10),MatrixXf(20,20).block(10,10,2,3),
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SliceVectorization,NoUnrolling));
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VERIFY(test_redux(VectorXf(10),
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LinearVectorization,NoUnrolling));
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VERIFY(test_redux(Matrix<float,5,2>(),
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NoVectorization,CompleteUnrolling));
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VERIFY(test_redux(Matrix<float,6,2>(),
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LinearVectorization,CompleteUnrolling));
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VERIFY(test_redux(Matrix<float,16,16>(),
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LinearVectorization,NoUnrolling));
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VERIFY(test_redux(Matrix<float,16,16>().block<4,4>(1,2),
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NoVectorization,CompleteUnrolling));
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VERIFY(test_redux(Matrix<float,16,16>().block<8,1>(1,2),
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LinearVectorization,CompleteUnrolling));
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VERIFY(test_redux(Matrix<double,7,3>(),
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NoVectorization,CompleteUnrolling));
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#endif // EIGEN_VECTORIZE
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}
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