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239 lines
9.6 KiB
C++
239 lines
9.6 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 <gael.guennebaud@inria.fr>
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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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#define EIGEN_DEBUG_ASSIGN
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#include "main.h"
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#include <typeinfo>
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std::string demangle_traversal(int t)
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{
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if(t==DefaultTraversal) return "DefaultTraversal";
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if(t==LinearTraversal) return "LinearTraversal";
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if(t==InnerVectorizedTraversal) return "InnerVectorizedTraversal";
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if(t==LinearVectorizedTraversal) return "LinearVectorizedTraversal";
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if(t==SliceVectorizedTraversal) return "SliceVectorizedTraversal";
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return "?";
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}
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std::string demangle_unrolling(int t)
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{
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if(t==NoUnrolling) return "NoUnrolling";
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if(t==InnerUnrolling) return "InnerUnrolling";
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if(t==CompleteUnrolling) return "CompleteUnrolling";
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return "?";
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}
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template<typename Dst, typename Src>
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bool test_assign(const Dst&, const Src&, int traversal, int unrolling)
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{
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internal::assign_traits<Dst,Src>::debug();
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bool res = internal::assign_traits<Dst,Src>::Traversal==traversal
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&& internal::assign_traits<Dst,Src>::Unrolling==unrolling;
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if(!res)
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{
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std::cerr << " Expected Traversal == " << demangle_traversal(traversal)
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<< " got " << demangle_traversal(internal::assign_traits<Dst,Src>::Traversal) << "\n";
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std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling)
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<< " got " << demangle_unrolling(internal::assign_traits<Dst,Src>::Unrolling) << "\n";
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}
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return res;
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}
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template<typename Dst, typename Src>
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bool test_assign(int traversal, int unrolling)
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{
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internal::assign_traits<Dst,Src>::debug();
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bool res = internal::assign_traits<Dst,Src>::Traversal==traversal
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&& internal::assign_traits<Dst,Src>::Unrolling==unrolling;
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if(!res)
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{
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std::cerr << " Expected Traversal == " << demangle_traversal(traversal)
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<< " got " << demangle_traversal(internal::assign_traits<Dst,Src>::Traversal) << "\n";
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std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling)
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<< " got " << demangle_unrolling(internal::assign_traits<Dst,Src>::Unrolling) << "\n";
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}
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return res;
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}
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template<typename Xpr>
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bool test_redux(const Xpr&, int traversal, int unrolling)
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{
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typedef internal::redux_traits<internal::scalar_sum_op<typename Xpr::Scalar>,Xpr> traits;
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bool res = traits::Traversal==traversal && traits::Unrolling==unrolling;
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if(!res)
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{
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std::cerr << " Expected Traversal == " << demangle_traversal(traversal)
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<< " got " << demangle_traversal(traits::Traversal) << "\n";
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std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling)
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<< " got " << demangle_unrolling(traits::Unrolling) << "\n";
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}
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return res;
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}
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template<typename Scalar, bool Enable = internal::packet_traits<Scalar>::Vectorizable> struct vectorization_logic
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{
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typedef internal::packet_traits<Scalar> PacketTraits;
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enum {
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PacketSize = PacketTraits::size
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};
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static void run()
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{
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typedef Matrix<Scalar,PacketSize,1> Vector1;
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typedef Matrix<Scalar,Dynamic,1> VectorX;
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typedef Matrix<Scalar,Dynamic,Dynamic> MatrixXX;
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typedef Matrix<Scalar,PacketSize,PacketSize> Matrix11;
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typedef Matrix<Scalar,2*PacketSize,2*PacketSize> Matrix22;
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typedef Matrix<Scalar,(Matrix11::Flags&RowMajorBit)?16:4*PacketSize,(Matrix11::Flags&RowMajorBit)?4*PacketSize:16> Matrix44;
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typedef Matrix<Scalar,(Matrix11::Flags&RowMajorBit)?16:4*PacketSize,(Matrix11::Flags&RowMajorBit)?4*PacketSize:16,DontAlign|EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION> Matrix44u;
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typedef Matrix<Scalar,4*PacketSize,4*PacketSize,ColMajor> Matrix44c;
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typedef Matrix<Scalar,4*PacketSize,4*PacketSize,RowMajor> Matrix44r;
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typedef Matrix<Scalar,
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(PacketSize==8 ? 4 : PacketSize==4 ? 2 : PacketSize==2 ? 1 : /*PacketSize==1 ?*/ 1),
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(PacketSize==8 ? 2 : PacketSize==4 ? 2 : PacketSize==2 ? 2 : /*PacketSize==1 ?*/ 1)
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> Matrix1;
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typedef Matrix<Scalar,
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(PacketSize==8 ? 4 : PacketSize==4 ? 2 : PacketSize==2 ? 1 : /*PacketSize==1 ?*/ 1),
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(PacketSize==8 ? 2 : PacketSize==4 ? 2 : PacketSize==2 ? 2 : /*PacketSize==1 ?*/ 1),
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DontAlign|((Matrix1::Flags&RowMajorBit)?RowMajor:ColMajor)> Matrix1u;
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// this type is made such that it can only be vectorized when viewed as a linear 1D vector
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typedef Matrix<Scalar,
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(PacketSize==8 ? 4 : PacketSize==4 ? 6 : PacketSize==2 ? ((Matrix11::Flags&RowMajorBit)?2:3) : /*PacketSize==1 ?*/ 1),
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(PacketSize==8 ? 6 : PacketSize==4 ? 2 : PacketSize==2 ? ((Matrix11::Flags&RowMajorBit)?3:2) : /*PacketSize==1 ?*/ 3)
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> Matrix3;
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#if !EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT
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VERIFY(test_assign(Vector1(),Vector1(),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Vector1(),Vector1()+Vector1(),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Vector1(),Vector1().template cast<Scalar>(),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Vector1(),Vector1(),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Vector1(),Vector1()+Vector1(),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Matrix44(),Matrix44()+Matrix44(),
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InnerVectorizedTraversal,InnerUnrolling));
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VERIFY(test_assign(Matrix44u(),Matrix44()+Matrix44(),
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LinearTraversal,NoUnrolling));
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VERIFY(test_assign(Matrix1u(),Matrix1()+Matrix1(),
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LinearTraversal,CompleteUnrolling));
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VERIFY(test_assign(Matrix44c().col(1),Matrix44c().col(2)+Matrix44c().col(3),
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InnerVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_assign(Matrix44r().row(2),Matrix44r().row(1)+Matrix44r().row(1),
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InnerVectorizedTraversal,CompleteUnrolling));
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if(PacketSize>1)
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{
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typedef Matrix<Scalar,3,3,ColMajor> Matrix33c;
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VERIFY(test_assign(Matrix33c().row(2),Matrix33c().row(1)+Matrix33c().row(1),
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LinearTraversal,CompleteUnrolling));
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VERIFY(test_assign(Matrix33c().col(0),Matrix33c().col(1)+Matrix33c().col(1),
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LinearTraversal,CompleteUnrolling));
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VERIFY(test_assign(Matrix3(),Matrix3().cwiseQuotient(Matrix3()),
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PacketTraits::HasDiv ? LinearVectorizedTraversal : LinearTraversal,CompleteUnrolling));
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VERIFY(test_assign(Matrix<Scalar,17,17>(),Matrix<Scalar,17,17>()+Matrix<Scalar,17,17>(),
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LinearTraversal,NoUnrolling));
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VERIFY(test_assign(Matrix11(),Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(2,3)+Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(8,4),
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DefaultTraversal,PacketSize>4?InnerUnrolling:CompleteUnrolling));
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}
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VERIFY(test_redux(Matrix3(),
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LinearVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_redux(Matrix44(),
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LinearVectorizedTraversal,NoUnrolling));
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VERIFY(test_redux(Matrix44().template block<(Matrix1::Flags&RowMajorBit)?4:PacketSize,(Matrix1::Flags&RowMajorBit)?PacketSize:4>(1,2),
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DefaultTraversal,CompleteUnrolling));
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VERIFY(test_redux(Matrix44c().template block<2*PacketSize,1>(1,2),
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LinearVectorizedTraversal,CompleteUnrolling));
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VERIFY(test_redux(Matrix44r().template block<1,2*PacketSize>(2,1),
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LinearVectorizedTraversal,CompleteUnrolling));
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VERIFY((test_assign<
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Map<Matrix22, Aligned, OuterStride<3*PacketSize> >,
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Matrix22
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>(InnerVectorizedTraversal,CompleteUnrolling)));
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VERIFY((test_assign<
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Map<Matrix<Scalar,EIGEN_PLAIN_ENUM_MAX(2,PacketSize),EIGEN_PLAIN_ENUM_MAX(2,PacketSize)>, Aligned, InnerStride<3*PacketSize> >,
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Matrix<Scalar,EIGEN_PLAIN_ENUM_MAX(2,PacketSize),EIGEN_PLAIN_ENUM_MAX(2,PacketSize)>
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>(DefaultTraversal,CompleteUnrolling)));
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VERIFY((test_assign(Matrix11(), Matrix<Scalar,PacketSize,EIGEN_PLAIN_ENUM_MIN(2,PacketSize)>()*Matrix<Scalar,EIGEN_PLAIN_ENUM_MIN(2,PacketSize),PacketSize>(),
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PacketSize>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD?DefaultTraversal:InnerVectorizedTraversal, CompleteUnrolling)));
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#endif
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VERIFY(test_assign(MatrixXX(10,10),MatrixXX(20,20).block(10,10,2,3),
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SliceVectorizedTraversal,NoUnrolling));
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VERIFY(test_redux(VectorX(10),
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LinearVectorizedTraversal,NoUnrolling));
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}
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};
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template<typename Scalar> struct vectorization_logic<Scalar,false>
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{
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static void run() {}
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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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CALL_SUBTEST( vectorization_logic<int>::run() );
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CALL_SUBTEST( vectorization_logic<float>::run() );
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CALL_SUBTEST( vectorization_logic<double>::run() );
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CALL_SUBTEST( vectorization_logic<std::complex<float> >::run() );
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CALL_SUBTEST( vectorization_logic<std::complex<double> >::run() );
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if(internal::packet_traits<float>::Vectorizable)
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{
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VERIFY(test_assign(Matrix<float,3,3>(),Matrix<float,3,3>()+Matrix<float,3,3>(),
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LinearTraversal,CompleteUnrolling));
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VERIFY(test_redux(Matrix<float,5,2>(),
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DefaultTraversal,CompleteUnrolling));
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}
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if(internal::packet_traits<double>::Vectorizable)
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{
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VERIFY(test_assign(Matrix<double,3,3>(),Matrix<double,3,3>()+Matrix<double,3,3>(),
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LinearTraversal,CompleteUnrolling));
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VERIFY(test_redux(Matrix<double,7,3>(),
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DefaultTraversal,CompleteUnrolling));
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}
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#endif // EIGEN_VECTORIZE
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}
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