You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
419 lines
20 KiB
419 lines
20 KiB
// This file is part of Eigen, a lightweight C++ template library |
|
// for linear algebra. |
|
// |
|
// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr> |
|
// |
|
// This Source Code Form is subject to the terms of the Mozilla |
|
// Public License v. 2.0. If a copy of the MPL was not distributed |
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
|
|
|
#ifdef EIGEN_TEST_PART_1 |
|
#define EIGEN_UNALIGNED_VECTORIZE 1 |
|
#endif |
|
|
|
#ifdef EIGEN_TEST_PART_2 |
|
#define EIGEN_UNALIGNED_VECTORIZE 0 |
|
#endif |
|
|
|
#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR |
|
#undef EIGEN_DEFAULT_TO_ROW_MAJOR |
|
#endif |
|
#define EIGEN_DEBUG_ASSIGN |
|
#include "main.h" |
|
#include <typeinfo> |
|
|
|
using internal::demangle_flags; |
|
using internal::demangle_traversal; |
|
using internal::demangle_unrolling; |
|
|
|
template<typename Dst, typename Src> |
|
bool test_assign(const Dst&, const Src&, int traversal, int unrolling) |
|
{ |
|
typedef internal::copy_using_evaluator_traits<internal::evaluator<Dst>,internal::evaluator<Src>, internal::assign_op<typename Dst::Scalar,typename Src::Scalar> > traits; |
|
bool res = traits::Traversal==traversal; |
|
if(unrolling==InnerUnrolling+CompleteUnrolling) |
|
res = res && (int(traits::Unrolling)==InnerUnrolling || int(traits::Unrolling)==CompleteUnrolling); |
|
else |
|
res = res && int(traits::Unrolling)==unrolling; |
|
if(!res) |
|
{ |
|
std::cerr << "Src: " << demangle_flags(Src::Flags) << std::endl; |
|
std::cerr << " " << demangle_flags(internal::evaluator<Src>::Flags) << std::endl; |
|
std::cerr << "Dst: " << demangle_flags(Dst::Flags) << std::endl; |
|
std::cerr << " " << demangle_flags(internal::evaluator<Dst>::Flags) << std::endl; |
|
traits::debug(); |
|
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 Dst, typename Src> |
|
bool test_assign(int traversal, int unrolling) |
|
{ |
|
typedef internal::copy_using_evaluator_traits<internal::evaluator<Dst>,internal::evaluator<Src>, internal::assign_op<typename Dst::Scalar,typename Src::Scalar> > traits; |
|
bool res = traits::Traversal==traversal && traits::Unrolling==unrolling; |
|
if(!res) |
|
{ |
|
std::cerr << "Src: " << demangle_flags(Src::Flags) << std::endl; |
|
std::cerr << " " << demangle_flags(internal::evaluator<Src>::Flags) << std::endl; |
|
std::cerr << "Dst: " << demangle_flags(Dst::Flags) << std::endl; |
|
std::cerr << " " << demangle_flags(internal::evaluator<Dst>::Flags) << std::endl; |
|
traits::debug(); |
|
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 Xpr> |
|
bool test_redux(const Xpr&, int traversal, int unrolling) |
|
{ |
|
typedef typename Xpr::Scalar Scalar; |
|
typedef internal::redux_traits<internal::scalar_sum_op<Scalar,Scalar>,internal::redux_evaluator<Xpr> > traits; |
|
|
|
bool res = traits::Traversal==traversal && traits::Unrolling==unrolling; |
|
if(!res) |
|
{ |
|
std::cerr << demangle_flags(Xpr::Flags) << std::endl; |
|
std::cerr << demangle_flags(internal::evaluator<Xpr>::Flags) << std::endl; |
|
traits::debug(); |
|
|
|
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 |
|
{ |
|
typedef internal::packet_traits<Scalar> PacketTraits; |
|
|
|
typedef typename internal::packet_traits<Scalar>::type PacketType; |
|
typedef typename internal::unpacket_traits<PacketType>::half HalfPacketType; |
|
enum { |
|
PacketSize = internal::unpacket_traits<PacketType>::size, |
|
HalfPacketSize = internal::unpacket_traits<HalfPacketType>::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,4*PacketSize,ColMajor> Matrix44c; |
|
typedef Matrix<Scalar,4*PacketSize,4*PacketSize,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; |
|
|
|
#if !EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT |
|
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(), |
|
EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearTraversal, |
|
EIGEN_UNALIGNED_VECTORIZE ? InnerUnrolling : NoUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix1(),Matrix1()+Matrix1(), |
|
(Matrix1::InnerSizeAtCompileTime % PacketSize)==0 ? InnerVectorizedTraversal : LinearVectorizedTraversal, |
|
CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix1u(),Matrix1()+Matrix1(), |
|
EIGEN_UNALIGNED_VECTORIZE ? ((Matrix1::InnerSizeAtCompileTime % PacketSize)==0 ? InnerVectorizedTraversal : LinearVectorizedTraversal) |
|
: 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; |
|
typedef Matrix<Scalar,3,1,ColMajor> Vector3; |
|
VERIFY(test_assign(Matrix33c().row(2),Matrix33c().row(1)+Matrix33c().row(1), |
|
LinearTraversal,CompleteUnrolling)); |
|
VERIFY(test_assign(Vector3(),Vector3()+Vector3(), |
|
EIGEN_UNALIGNED_VECTORIZE ? (HalfPacketSize==1 ? InnerVectorizedTraversal : LinearVectorizedTraversal) : (HalfPacketSize==1 ? InnerVectorizedTraversal : LinearTraversal), CompleteUnrolling)); |
|
VERIFY(test_assign(Matrix33c().col(0),Matrix33c().col(1)+Matrix33c().col(1), |
|
EIGEN_UNALIGNED_VECTORIZE ? (HalfPacketSize==1 ? InnerVectorizedTraversal : LinearVectorizedTraversal) : (HalfPacketSize==1 ? SliceVectorizedTraversal : LinearTraversal), |
|
((!EIGEN_UNALIGNED_VECTORIZE) && HalfPacketSize==1) ? NoUnrolling : CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix3(),Matrix3().cwiseProduct(Matrix3()), |
|
LinearVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix<Scalar,17,17>(),Matrix<Scalar,17,17>()+Matrix<Scalar,17,17>(), |
|
HalfPacketSize==1 ? InnerVectorizedTraversal : |
|
EIGEN_UNALIGNED_VECTORIZE ? LinearVectorizedTraversal : |
|
LinearTraversal, |
|
NoUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix11(), Matrix11()+Matrix11(),InnerVectorizedTraversal,CompleteUnrolling)); |
|
|
|
|
|
VERIFY(test_assign(Matrix11(),Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(2,3)+Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(8,4), |
|
(EIGEN_UNALIGNED_VECTORIZE) ? InnerVectorizedTraversal : DefaultTraversal, CompleteUnrolling|InnerUnrolling)); |
|
|
|
VERIFY(test_assign(Vector1(),Matrix11()*Vector1(), |
|
InnerVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix11(),Matrix11().lazyProduct(Matrix11()), |
|
InnerVectorizedTraversal,InnerUnrolling+CompleteUnrolling)); |
|
} |
|
|
|
VERIFY(test_redux(Vector1(), |
|
LinearVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_redux(Matrix<Scalar,PacketSize,3>(), |
|
LinearVectorizedTraversal,CompleteUnrolling)); |
|
|
|
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)); |
|
|
|
VERIFY((test_assign< |
|
Map<Matrix22, AlignedMax, OuterStride<3*PacketSize> >, |
|
Matrix22 |
|
>(InnerVectorizedTraversal,CompleteUnrolling))); |
|
|
|
VERIFY((test_assign< |
|
Map<Matrix<Scalar,EIGEN_PLAIN_ENUM_MAX(2,PacketSize),EIGEN_PLAIN_ENUM_MAX(2,PacketSize)>, AlignedMax, InnerStride<3*PacketSize> >, |
|
Matrix<Scalar,EIGEN_PLAIN_ENUM_MAX(2,PacketSize),EIGEN_PLAIN_ENUM_MAX(2,PacketSize)> |
|
>(DefaultTraversal,PacketSize>=8?InnerUnrolling:CompleteUnrolling))); |
|
|
|
VERIFY((test_assign(Matrix11(), Matrix<Scalar,PacketSize,EIGEN_PLAIN_ENUM_MIN(2,PacketSize)>()*Matrix<Scalar,EIGEN_PLAIN_ENUM_MIN(2,PacketSize),PacketSize>(), |
|
InnerVectorizedTraversal, CompleteUnrolling))); |
|
#endif |
|
|
|
VERIFY(test_assign(MatrixXX(10,10),MatrixXX(20,20).block(10,10,2,3), |
|
SliceVectorizedTraversal,NoUnrolling)); |
|
|
|
VERIFY(test_redux(VectorX(10), |
|
LinearVectorizedTraversal,NoUnrolling)); |
|
} |
|
}; |
|
|
|
template<typename Scalar> struct vectorization_logic<Scalar,false> |
|
{ |
|
static void run() {} |
|
}; |
|
|
|
template<typename Scalar, bool Enable = !internal::is_same<typename internal::unpacket_traits<typename internal::packet_traits<Scalar>::type>::half, |
|
typename internal::packet_traits<Scalar>::type>::value > |
|
struct vectorization_logic_half |
|
{ |
|
typedef internal::packet_traits<Scalar> PacketTraits; |
|
typedef typename internal::unpacket_traits<typename internal::packet_traits<Scalar>::type>::half PacketType; |
|
enum { |
|
PacketSize = internal::unpacket_traits<PacketType>::size |
|
}; |
|
static void run() |
|
{ |
|
|
|
typedef Matrix<Scalar,PacketSize,1> Vector1; |
|
typedef Matrix<Scalar,PacketSize,PacketSize> Matrix11; |
|
typedef Matrix<Scalar,5*PacketSize,7,ColMajor> Matrix57; |
|
typedef Matrix<Scalar,3*PacketSize,5,ColMajor> Matrix35; |
|
typedef Matrix<Scalar,5*PacketSize,7,DontAlign|ColMajor> Matrix57u; |
|
// 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,4*PacketSize,ColMajor> Matrix44c; |
|
// typedef Matrix<Scalar,4*PacketSize,4*PacketSize,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; |
|
|
|
#if !EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT |
|
VERIFY(test_assign(Vector1(),Vector1(), |
|
InnerVectorizedTraversal,CompleteUnrolling)); |
|
VERIFY(test_assign(Vector1(),Vector1()+Vector1(), |
|
InnerVectorizedTraversal,CompleteUnrolling)); |
|
VERIFY(test_assign(Vector1(),Vector1().template segment<PacketSize>(0).derived(), |
|
EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearVectorizedTraversal,CompleteUnrolling)); |
|
VERIFY(test_assign(Vector1(),Scalar(2.1)*Vector1()-Vector1(), |
|
InnerVectorizedTraversal,CompleteUnrolling)); |
|
VERIFY(test_assign(Vector1(),(Scalar(2.1)*Vector1().template segment<PacketSize>(0)-Vector1().template segment<PacketSize>(0)).derived(), |
|
EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearVectorizedTraversal,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(Matrix57(),Matrix57()+Matrix57(), |
|
InnerVectorizedTraversal,InnerUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix57u(),Matrix57()+Matrix57(), |
|
EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearTraversal, |
|
EIGEN_UNALIGNED_VECTORIZE ? InnerUnrolling : NoUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix1u(),Matrix1()+Matrix1(), |
|
EIGEN_UNALIGNED_VECTORIZE ? ((Matrix1::InnerSizeAtCompileTime % PacketSize)==0 ? InnerVectorizedTraversal : LinearVectorizedTraversal) : LinearTraversal,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), |
|
EIGEN_UNALIGNED_VECTORIZE ? (PacketSize==1 ? InnerVectorizedTraversal : LinearVectorizedTraversal) : LinearTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix3(),Matrix3().cwiseQuotient(Matrix3()), |
|
PacketTraits::HasDiv ? LinearVectorizedTraversal : LinearTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix<Scalar,17,17>(),Matrix<Scalar,17,17>()+Matrix<Scalar,17,17>(), |
|
EIGEN_UNALIGNED_VECTORIZE ? (PacketSize==1 ? InnerVectorizedTraversal : LinearVectorizedTraversal) : LinearTraversal, |
|
NoUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix11(),Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(2,3)+Matrix<Scalar,17,17>().template block<PacketSize,PacketSize>(8,4), |
|
EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : DefaultTraversal,PacketSize>4?InnerUnrolling:CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Vector1(),Matrix11()*Vector1(), |
|
InnerVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_assign(Matrix11(),Matrix11().lazyProduct(Matrix11()), |
|
InnerVectorizedTraversal,InnerUnrolling+CompleteUnrolling)); |
|
} |
|
|
|
VERIFY(test_redux(Vector1(), |
|
LinearVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_redux(Matrix<Scalar,PacketSize,3>(), |
|
LinearVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_redux(Matrix3(), |
|
LinearVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_redux(Matrix35(), |
|
LinearVectorizedTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_redux(Matrix57().template block<PacketSize,3>(1,0), |
|
DefaultTraversal,CompleteUnrolling)); |
|
|
|
VERIFY((test_assign< |
|
Map<Matrix<Scalar,EIGEN_PLAIN_ENUM_MAX(2,PacketSize),EIGEN_PLAIN_ENUM_MAX(2,PacketSize)>, AlignedMax, InnerStride<3*PacketSize> >, |
|
Matrix<Scalar,EIGEN_PLAIN_ENUM_MAX(2,PacketSize),EIGEN_PLAIN_ENUM_MAX(2,PacketSize)> |
|
>(DefaultTraversal,CompleteUnrolling))); |
|
|
|
VERIFY((test_assign(Matrix57(), Matrix<Scalar,5*PacketSize,3>()*Matrix<Scalar,3,7>(), |
|
InnerVectorizedTraversal, InnerUnrolling|CompleteUnrolling))); |
|
#endif |
|
} |
|
}; |
|
|
|
template<typename Scalar> struct vectorization_logic_half<Scalar,false> |
|
{ |
|
static void run() {} |
|
}; |
|
|
|
void test_vectorization_logic() |
|
{ |
|
|
|
#ifdef EIGEN_VECTORIZE |
|
|
|
CALL_SUBTEST( vectorization_logic<int>::run() ); |
|
CALL_SUBTEST( vectorization_logic<float>::run() ); |
|
CALL_SUBTEST( vectorization_logic<double>::run() ); |
|
CALL_SUBTEST( vectorization_logic<std::complex<float> >::run() ); |
|
CALL_SUBTEST( vectorization_logic<std::complex<double> >::run() ); |
|
|
|
CALL_SUBTEST( vectorization_logic_half<int>::run() ); |
|
CALL_SUBTEST( vectorization_logic_half<float>::run() ); |
|
CALL_SUBTEST( vectorization_logic_half<double>::run() ); |
|
CALL_SUBTEST( vectorization_logic_half<std::complex<float> >::run() ); |
|
CALL_SUBTEST( vectorization_logic_half<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>(), |
|
EIGEN_UNALIGNED_VECTORIZE ? LinearVectorizedTraversal : LinearTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_redux(Matrix<float,5,2>(), |
|
EIGEN_UNALIGNED_VECTORIZE ? LinearVectorizedTraversal : DefaultTraversal,CompleteUnrolling)); |
|
} |
|
|
|
if(internal::packet_traits<double>::Vectorizable) |
|
{ |
|
VERIFY(test_assign(Matrix<double,3,3>(),Matrix<double,3,3>()+Matrix<double,3,3>(), |
|
EIGEN_UNALIGNED_VECTORIZE ? LinearVectorizedTraversal : LinearTraversal,CompleteUnrolling)); |
|
|
|
VERIFY(test_redux(Matrix<double,7,3>(), |
|
EIGEN_UNALIGNED_VECTORIZE ? LinearVectorizedTraversal : DefaultTraversal,CompleteUnrolling)); |
|
} |
|
#endif // EIGEN_VECTORIZE |
|
|
|
}
|
|
|