Files
eigen/Eigen/src/Core/Assign.h
Benoit Jacob f6aa60bcf3 centralize those static asserts more upstream, reduces duplication and ensures they can't be bypassed (e.g.
until now it was possible to bypass the static assert on sizes)
2009-01-27 15:40:05 +00:00

446 lines
17 KiB
C++

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2007 Michael Olbrich <michael.olbrich@gmx.net>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.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/>.
#ifndef EIGEN_ASSIGN_H
#define EIGEN_ASSIGN_H
/***************************************************************************
* Part 1 : the logic deciding a strategy for vectorization and unrolling
***************************************************************************/
template <typename Derived, typename OtherDerived>
struct ei_assign_traits
{
public:
enum {
DstIsAligned = Derived::Flags & AlignedBit,
SrcIsAligned = OtherDerived::Flags & AlignedBit,
SrcAlignment = DstIsAligned && SrcIsAligned ? Aligned : Unaligned
};
private:
enum {
InnerSize = int(Derived::Flags)&RowMajorBit
? Derived::ColsAtCompileTime
: Derived::RowsAtCompileTime,
InnerMaxSize = int(Derived::Flags)&RowMajorBit
? Derived::MaxColsAtCompileTime
: Derived::MaxRowsAtCompileTime,
PacketSize = ei_packet_traits<typename Derived::Scalar>::size
};
enum {
MightVectorize = (int(Derived::Flags) & int(OtherDerived::Flags) & ActualPacketAccessBit)
&& ((int(Derived::Flags)&RowMajorBit)==(int(OtherDerived::Flags)&RowMajorBit)),
MayInnerVectorize = MightVectorize && int(InnerSize)!=Dynamic && int(InnerSize)%int(PacketSize)==0
&& int(DstIsAligned) && int(SrcIsAligned),
MayLinearVectorize = MightVectorize && (int(Derived::Flags) & int(OtherDerived::Flags) & LinearAccessBit),
MaySliceVectorize = MightVectorize && int(InnerMaxSize)>=3*PacketSize /* slice vectorization can be slow, so we only
want it if the slices are big, which is indicated by InnerMaxSize rather than InnerSize, think of the case
of a dynamic block in a fixed-size matrix */
};
public:
enum {
Vectorization = int(MayInnerVectorize) ? int(InnerVectorization)
: int(MayLinearVectorize) ? int(LinearVectorization)
: int(MaySliceVectorize) ? int(SliceVectorization)
: int(NoVectorization)
};
private:
enum {
UnrollingLimit = EIGEN_UNROLLING_LIMIT * (int(Vectorization) == int(NoVectorization) ? 1 : int(PacketSize)),
MayUnrollCompletely = int(Derived::SizeAtCompileTime) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit),
MayUnrollInner = int(InnerSize * OtherDerived::CoeffReadCost) <= int(UnrollingLimit)
};
public:
enum {
Unrolling = (int(Vectorization) == int(InnerVectorization) || int(Vectorization) == int(NoVectorization))
? (
int(MayUnrollCompletely) ? int(CompleteUnrolling)
: int(MayUnrollInner) ? int(InnerUnrolling)
: int(NoUnrolling)
)
: int(Vectorization) == int(LinearVectorization)
? ( int(MayUnrollCompletely) && int(DstIsAligned) ? int(CompleteUnrolling) : int(NoUnrolling) )
: int(NoUnrolling)
};
};
/***************************************************************************
* Part 2 : meta-unrollers
***************************************************************************/
/***********************
*** No vectorization ***
***********************/
template<typename Derived1, typename Derived2, int Index, int Stop>
struct ei_assign_novec_CompleteUnrolling
{
enum {
row = int(Derived1::Flags)&RowMajorBit
? Index / int(Derived1::ColsAtCompileTime)
: Index % Derived1::RowsAtCompileTime,
col = int(Derived1::Flags)&RowMajorBit
? Index % int(Derived1::ColsAtCompileTime)
: Index / Derived1::RowsAtCompileTime
};
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
{
dst.copyCoeff(row, col, src);
ei_assign_novec_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
}
};
template<typename Derived1, typename Derived2, int Stop>
struct ei_assign_novec_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &) {}
};
template<typename Derived1, typename Derived2, int Index, int Stop>
struct ei_assign_novec_InnerUnrolling
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src, int row_or_col)
{
const bool rowMajor = int(Derived1::Flags)&RowMajorBit;
const int row = rowMajor ? row_or_col : Index;
const int col = rowMajor ? Index : row_or_col;
dst.copyCoeff(row, col, src);
ei_assign_novec_InnerUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src, row_or_col);
}
};
template<typename Derived1, typename Derived2, int Stop>
struct ei_assign_novec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &, int) {}
};
/**************************
*** Inner vectorization ***
**************************/
template<typename Derived1, typename Derived2, int Index, int Stop>
struct ei_assign_innervec_CompleteUnrolling
{
enum {
row = int(Derived1::Flags)&RowMajorBit
? Index / int(Derived1::ColsAtCompileTime)
: Index % Derived1::RowsAtCompileTime,
col = int(Derived1::Flags)&RowMajorBit
? Index % int(Derived1::ColsAtCompileTime)
: Index / Derived1::RowsAtCompileTime,
SrcAlignment = ei_assign_traits<Derived1,Derived2>::SrcAlignment
};
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
{
dst.template copyPacket<Derived2, Aligned, SrcAlignment>(row, col, src);
ei_assign_innervec_CompleteUnrolling<Derived1, Derived2,
Index+ei_packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src);
}
};
template<typename Derived1, typename Derived2, int Stop>
struct ei_assign_innervec_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &) {}
};
template<typename Derived1, typename Derived2, int Index, int Stop>
struct ei_assign_innervec_InnerUnrolling
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src, int row_or_col)
{
const int row = int(Derived1::Flags)&RowMajorBit ? row_or_col : Index;
const int col = int(Derived1::Flags)&RowMajorBit ? Index : row_or_col;
dst.template copyPacket<Derived2, Aligned, Aligned>(row, col, src);
ei_assign_innervec_InnerUnrolling<Derived1, Derived2,
Index+ei_packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src, row_or_col);
}
};
template<typename Derived1, typename Derived2, int Stop>
struct ei_assign_innervec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &, int) {}
};
/***************************************************************************
* Part 3 : implementation of all cases
***************************************************************************/
template<typename Derived1, typename Derived2,
int Vectorization = ei_assign_traits<Derived1, Derived2>::Vectorization,
int Unrolling = ei_assign_traits<Derived1, Derived2>::Unrolling>
struct ei_assign_impl;
/***********************
*** No vectorization ***
***********************/
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, NoVectorization, NoUnrolling>
{
inline static void run(Derived1 &dst, const Derived2 &src)
{
const int innerSize = dst.innerSize();
const int outerSize = dst.outerSize();
for(int j = 0; j < outerSize; ++j)
for(int i = 0; i < innerSize; ++i)
{
if(int(Derived1::Flags)&RowMajorBit)
dst.copyCoeff(j, i, src);
else
dst.copyCoeff(i, j, src);
}
}
};
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, NoVectorization, CompleteUnrolling>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
{
ei_assign_novec_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
::run(dst, src);
}
};
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, NoVectorization, InnerUnrolling>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
{
const bool rowMajor = int(Derived1::Flags)&RowMajorBit;
const int innerSize = rowMajor ? Derived1::ColsAtCompileTime : Derived1::RowsAtCompileTime;
const int outerSize = dst.outerSize();
for(int j = 0; j < outerSize; ++j)
ei_assign_novec_InnerUnrolling<Derived1, Derived2, 0, innerSize>
::run(dst, src, j);
}
};
/**************************
*** Inner vectorization ***
**************************/
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, InnerVectorization, NoUnrolling>
{
inline static void run(Derived1 &dst, const Derived2 &src)
{
const int innerSize = dst.innerSize();
const int outerSize = dst.outerSize();
const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
for(int j = 0; j < outerSize; ++j)
for(int i = 0; i < innerSize; i+=packetSize)
{
if(int(Derived1::Flags)&RowMajorBit)
dst.template copyPacket<Derived2, Aligned, Aligned>(j, i, src);
else
dst.template copyPacket<Derived2, Aligned, Aligned>(i, j, src);
}
}
};
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, InnerVectorization, CompleteUnrolling>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
{
ei_assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
::run(dst, src);
}
};
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, InnerVectorization, InnerUnrolling>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
{
const bool rowMajor = int(Derived1::Flags)&RowMajorBit;
const int innerSize = rowMajor ? Derived1::ColsAtCompileTime : Derived1::RowsAtCompileTime;
const int outerSize = dst.outerSize();
for(int j = 0; j < outerSize; ++j)
ei_assign_innervec_InnerUnrolling<Derived1, Derived2, 0, innerSize>
::run(dst, src, j);
}
};
/***************************
*** Linear vectorization ***
***************************/
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, LinearVectorization, NoUnrolling>
{
inline static void run(Derived1 &dst, const Derived2 &src)
{
const int size = dst.size();
const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
const int alignedStart = ei_assign_traits<Derived1,Derived2>::DstIsAligned ? 0
: ei_alignmentOffset(&dst.coeffRef(0), size);
const int alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
for(int index = 0; index < alignedStart; ++index)
dst.copyCoeff(index, src);
for(int index = alignedStart; index < alignedEnd; index += packetSize)
{
dst.template copyPacket<Derived2, Aligned, ei_assign_traits<Derived1,Derived2>::SrcAlignment>(index, src);
}
for(int index = alignedEnd; index < size; ++index)
dst.copyCoeff(index, src);
}
};
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, LinearVectorization, CompleteUnrolling>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
{
const int size = Derived1::SizeAtCompileTime;
const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
const int alignedSize = (size/packetSize)*packetSize;
ei_assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, alignedSize>::run(dst, src);
ei_assign_novec_CompleteUnrolling<Derived1, Derived2, alignedSize, size>::run(dst, src);
}
};
/**************************
*** Slice vectorization ***
***************************/
template<typename Derived1, typename Derived2>
struct ei_assign_impl<Derived1, Derived2, SliceVectorization, NoUnrolling>
{
inline static void run(Derived1 &dst, const Derived2 &src)
{
const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
const int packetAlignedMask = packetSize - 1;
const int innerSize = dst.innerSize();
const int outerSize = dst.outerSize();
const int alignedStep = (packetSize - dst.stride() % packetSize) & packetAlignedMask;
int alignedStart = ei_assign_traits<Derived1,Derived2>::DstIsAligned ? 0
: ei_alignmentOffset(&dst.coeffRef(0), innerSize);
for(int i = 0; i < outerSize; ++i)
{
const int alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
// do the non-vectorizable part of the assignment
for (int index = 0; index<alignedStart ; ++index)
{
if(Derived1::Flags&RowMajorBit)
dst.copyCoeff(i, index, src);
else
dst.copyCoeff(index, i, src);
}
// do the vectorizable part of the assignment
for (int index = alignedStart; index<alignedEnd; index+=packetSize)
{
if(Derived1::Flags&RowMajorBit)
dst.template copyPacket<Derived2, Aligned, Unaligned>(i, index, src);
else
dst.template copyPacket<Derived2, Aligned, Unaligned>(index, i, src);
}
// do the non-vectorizable part of the assignment
for (int index = alignedEnd; index<innerSize ; ++index)
{
if(Derived1::Flags&RowMajorBit)
dst.copyCoeff(i, index, src);
else
dst.copyCoeff(index, i, src);
}
alignedStart = std::min<int>((alignedStart+alignedStep)%packetSize, innerSize);
}
}
};
/***************************************************************************
* Part 4 : implementation of MatrixBase methods
***************************************************************************/
template<typename Derived>
template<typename OtherDerived>
EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>
::lazyAssign(const MatrixBase<OtherDerived>& other)
{
EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
EIGEN_STATIC_ASSERT((ei_is_same_type<typename Derived::Scalar, typename OtherDerived::Scalar>::ret),
YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
ei_assert(rows() == other.rows() && cols() == other.cols());
ei_assign_impl<Derived, OtherDerived>::run(derived(),other.derived());
return derived();
}
template<typename Derived, typename OtherDerived,
bool EvalBeforeAssigning = (int(OtherDerived::Flags) & EvalBeforeAssigningBit) != 0,
bool NeedToTranspose = Derived::IsVectorAtCompileTime
&& OtherDerived::IsVectorAtCompileTime
&& int(Derived::RowsAtCompileTime) == int(OtherDerived::ColsAtCompileTime)
&& int(Derived::ColsAtCompileTime) == int(OtherDerived::RowsAtCompileTime)
&& int(Derived::SizeAtCompileTime) != 1>
struct ei_assign_selector;
template<typename Derived, typename OtherDerived>
struct ei_assign_selector<Derived,OtherDerived,false,false> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.derived()); }
};
template<typename Derived, typename OtherDerived>
struct ei_assign_selector<Derived,OtherDerived,true,false> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.eval()); }
};
template<typename Derived, typename OtherDerived>
struct ei_assign_selector<Derived,OtherDerived,false,true> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose()); }
};
template<typename Derived, typename OtherDerived>
struct ei_assign_selector<Derived,OtherDerived,true,true> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose().eval()); }
};
template<typename Derived>
template<typename OtherDerived>
EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>
::operator=(const MatrixBase<OtherDerived>& other)
{
return ei_assign_selector<Derived,OtherDerived>::run(derived(), other.derived());
}
#endif // EIGEN_ASSIGN_H