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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#define EIGEN_DEBUG_ASSIGN
#include "main.h"
#include <typeinfo>
std::string demangle_traversal(int t)
{
if(t==DefaultTraversal) return "DefaultTraversal";
if(t==LinearTraversal) return "LinearTraversal";
if(t==InnerVectorizedTraversal) return "InnerVectorizedTraversal";
if(t==LinearVectorizedTraversal) return "LinearVectorizedTraversal";
if(t==SliceVectorizedTraversal) return "SliceVectorizedTraversal";
return "?";
}
std::string demangle_unrolling(int t)
{
if(t==NoUnrolling) return "NoUnrolling";
if(t==InnerUnrolling) return "InnerUnrolling";
if(t==CompleteUnrolling) return "CompleteUnrolling";
return "?";
}
template<typename Dst, typename Src>
bool test_assign(const Dst&, const Src&, int traversal, int unrolling)
{
internal::assign_traits<Dst,Src>::debug();
bool res = internal::assign_traits<Dst,Src>::Traversal==traversal
&& internal::assign_traits<Dst,Src>::Unrolling==unrolling;
if(!res)
{
std::cerr << " Expected Traversal == " << demangle_traversal(traversal)
<< " got " << demangle_traversal(internal::assign_traits<Dst,Src>::Traversal) << "\n";
std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling)
<< " got " << demangle_unrolling(internal::assign_traits<Dst,Src>::Unrolling) << "\n";
}
return res;
}
template<typename Dst, typename Src>
bool test_assign(int traversal, int unrolling)
{
internal::assign_traits<Dst,Src>::debug();
bool res = internal::assign_traits<Dst,Src>::Traversal==traversal
&& internal::assign_traits<Dst,Src>::Unrolling==unrolling;
if(!res)
{
std::cerr << " Expected Traversal == " << demangle_traversal(traversal)
<< " got " << demangle_traversal(internal::assign_traits<Dst,Src>::Traversal) << "\n";
std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling)
<< " got " << demangle_unrolling(internal::assign_traits<Dst,Src>::Unrolling) << "\n";
}
return res;
}
template<typename Xpr>
bool test_redux(const Xpr&, int traversal, int unrolling)
{
typedef internal::redux_traits<internal::scalar_sum_op<typename Xpr::Scalar>,Xpr> traits;
bool res = traits::Traversal==traversal && traits::Unrolling==unrolling;
if(!res)
{
std::cerr << " Expected Traversal == " << demangle_traversal(traversal)
<< " got " << demangle_traversal(traits::Traversal) << "\n";
std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling)
<< " got " << demangle_unrolling(traits::Unrolling) << "\n";
}
return res;
}
template<typename Scalar, bool Enable = internal::packet_traits<Scalar>::Vectorizable> struct vectorization_logic
{
enum {
PacketSize = internal::packet_traits<Scalar>::size
};
static void run()
{
typedef Matrix<Scalar,PacketSize,1> Vector1;
typedef Matrix<Scalar,Dynamic,1> VectorX;
typedef Matrix<Scalar,Dynamic,Dynamic> MatrixXX;
typedef Matrix<Scalar,PacketSize,PacketSize> Matrix11;
typedef Matrix<Scalar,2*PacketSize,2*PacketSize> Matrix22;
typedef Matrix<Scalar,(Matrix11::Flags&RowMajorBit)?16:4*PacketSize,(Matrix11::Flags&RowMajorBit)?4*PacketSize:16> Matrix44;
typedef Matrix<Scalar,(Matrix11::Flags&RowMajorBit)?16:4*PacketSize,(Matrix11::Flags&RowMajorBit)?4*PacketSize:16,DontAlign|EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION> Matrix44u;
typedef Matrix<Scalar,4*PacketSize,16,ColMajor> Matrix44c;
typedef Matrix<Scalar,4*PacketSize,16,RowMajor> Matrix44r;
typedef Matrix<Scalar,
(PacketSize==8 ? 4 : PacketSize==4 ? 2 : PacketSize==2 ? 1 : /*PacketSize==1 ?*/ 1),
(PacketSize==8 ? 2 : PacketSize==4 ? 2 : PacketSize==2 ? 2 : /*PacketSize==1 ?*/ 1)
> Matrix1;
typedef Matrix<Scalar,
(PacketSize==8 ? 4 : PacketSize==4 ? 2 : PacketSize==2 ? 1 : /*PacketSize==1 ?*/ 1),
(PacketSize==8 ? 2 : PacketSize==4 ? 2 : PacketSize==2 ? 2 : /*PacketSize==1 ?*/ 1),
DontAlign|((Matrix1::Flags&RowMajorBit)?RowMajor:ColMajor)> Matrix1u;
// this type is made such that it can only be vectorized when viewed as a linear 1D vector
typedef Matrix<Scalar,
(PacketSize==8 ? 4 : PacketSize==4 ? 6 : PacketSize==2 ? ((Matrix11::Flags&RowMajorBit)?2:3) : /*PacketSize==1 ?*/ 1),
(PacketSize==8 ? 6 : PacketSize==4 ? 2 : PacketSize==2 ? ((Matrix11::Flags&RowMajorBit)?3:2) : /*PacketSize==1 ?*/ 3)
> Matrix3;
VERIFY(test_assign(Vector1(),Vector1(),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Vector1(),Vector1()+Vector1(),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Vector1(),Vector1().template cast<Scalar>(),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Vector1(),Vector1(),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Vector1(),Vector1()+Vector1(),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Matrix44(),Matrix44()+Matrix44(),
InnerVectorizedTraversal,InnerUnrolling));
VERIFY(test_assign(Matrix44u(),Matrix44()+Matrix44(),
LinearTraversal,NoUnrolling));
VERIFY(test_assign(Matrix1u(),Matrix1()+Matrix1(),
LinearTraversal,CompleteUnrolling));
VERIFY(test_assign(Matrix44c().col(1),Matrix44c().col(2)+Matrix44c().col(3),
InnerVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Matrix44r().row(2),Matrix44r().row(1)+Matrix44r().row(1),
InnerVectorizedTraversal,CompleteUnrolling));
if(PacketSize>1)
{
typedef Matrix<Scalar,3,3,ColMajor> Matrix33c;
VERIFY(test_assign(Matrix33c().row(2),Matrix33c().row(1)+Matrix33c().row(1),
LinearTraversal,CompleteUnrolling));
VERIFY(test_assign(Matrix33c().col(0),Matrix33c().col(1)+Matrix33c().col(1),
LinearTraversal,CompleteUnrolling));
VERIFY(test_assign(Matrix3(),Matrix3().cwiseQuotient(Matrix3()),
LinearVectorizedTraversal,CompleteUnrolling));
VERIFY(test_assign(Matrix<Scalar,17,17>(),Matrix<Scalar,17,17>()+Matrix<Scalar,17,17>(),
LinearTraversal,NoUnrolling));
VERIFY(test_assign(Matrix11(),Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(2,3)+Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(10,4),
DefaultTraversal,CompleteUnrolling));
}
VERIFY(test_assign(MatrixXX(10,10),MatrixXX(20,20).block(10,10,2,3),
SliceVectorizedTraversal,NoUnrolling));
VERIFY((test_assign<
Map<Matrix22, Aligned, OuterStride<3*PacketSize> >,
Matrix22
>(InnerVectorizedTraversal,CompleteUnrolling)));
VERIFY((test_assign<
Map<Matrix22, Aligned, InnerStride<3*PacketSize> >,
Matrix22
>(DefaultTraversal,CompleteUnrolling)));
VERIFY((test_assign(Matrix11(), Matrix11()*Matrix11(), InnerVectorizedTraversal, CompleteUnrolling)));
VERIFY(test_redux(VectorX(10),
LinearVectorizedTraversal,NoUnrolling));
VERIFY(test_redux(Matrix3(),
LinearVectorizedTraversal,CompleteUnrolling));
VERIFY(test_redux(Matrix44(),
LinearVectorizedTraversal,NoUnrolling));
VERIFY(test_redux(Matrix44().template block<(Matrix1::Flags&RowMajorBit)?4:PacketSize,(Matrix1::Flags&RowMajorBit)?PacketSize:4>(1,2),
DefaultTraversal,CompleteUnrolling));
VERIFY(test_redux(Matrix44c().template block<2*PacketSize,1>(1,2),
LinearVectorizedTraversal,CompleteUnrolling));
VERIFY(test_redux(Matrix44r().template block<1,2*PacketSize>(2,1),
LinearVectorizedTraversal,CompleteUnrolling));
}
};
template<typename Scalar> struct vectorization_logic<Scalar,false>
{
static void run() {}
};
void test_vectorization_logic()
{
#ifdef EIGEN_VECTORIZE
vectorization_logic<float>::run();
vectorization_logic<double>::run();
vectorization_logic<std::complex<float> >::run();
vectorization_logic<std::complex<double> >::run();
if(internal::packet_traits<float>::Vectorizable)
{
VERIFY(test_assign(Matrix<float,3,3>(),Matrix<float,3,3>()+Matrix<float,3,3>(),
LinearTraversal,CompleteUnrolling));
VERIFY(test_redux(Matrix<float,5,2>(),
DefaultTraversal,CompleteUnrolling));
}
if(internal::packet_traits<double>::Vectorizable)
{
VERIFY(test_assign(Matrix<double,3,3>(),Matrix<double,3,3>()+Matrix<double,3,3>(),
LinearTraversal,CompleteUnrolling));
VERIFY(test_redux(Matrix<double,7,3>(),
DefaultTraversal,CompleteUnrolling));
}
#endif // EIGEN_VECTORIZE
}
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