Go to the documentation of this file.
13 #ifndef EIGEN_PRODUCTEVALUATORS_H
14 #define EIGEN_PRODUCTEVALUATORS_H
28 template<
typename Lhs,
typename Rhs,
int Options>
40 template<
typename Lhs,
typename Rhs,
typename Scalar1,
typename Scalar2,
typename Plain1>
42 const
CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>,
43 const
Product<Lhs, Rhs, DefaultProduct> > >
47 template<
typename Lhs,
typename Rhs,
typename Scalar1,
typename Scalar2,
typename Plain1>
49 const
CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>,
50 const
Product<Lhs, Rhs, DefaultProduct> > >
51 :
public evaluator<Product<EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1,Lhs,product), Rhs, DefaultProduct> >
59 :
Base(xpr.lhs().functor().m_other * xpr.rhs().lhs() * xpr.rhs().rhs())
64 template<
typename Lhs,
typename Rhs,
int DiagIndex>
66 :
public evaluator<Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagIndex> >
82 template<
typename Lhs,
typename Rhs,
88 template<
typename Lhs,
typename Rhs>
95 template<
typename Lhs,
typename Rhs,
int Options,
int ProductTag,
typename LhsShape,
typename RhsShape>
97 :
public evaluator<typename Product<Lhs, Rhs, Options>::PlainObject>
110 ::new (
static_cast<Base*
>(
this))
Base(m_result);
135 template<
typename DstXprType,
typename Lhs,
typename Rhs,
int Options,
typename Scalar>
137 typename
enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>
::type>
145 if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
146 dst.resize(dstRows, dstCols);
153 template<
typename DstXprType,
typename Lhs,
typename Rhs,
int Options,
typename Scalar>
155 typename
enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>
::type>
168 template<
typename DstXprType,
typename Lhs,
typename Rhs,
int Options,
typename Scalar>
170 typename
enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>
::type>
186 template<
typename DstXprType,
typename Lhs,
typename Rhs,
typename AssignFunc,
typename Scalar,
typename ScalarBis,
typename Plain>
204 template<
typename OtherXpr,
typename Lhs,
typename Rhs>
210 template<
typename OtherXpr,
typename Lhs,
typename Rhs>
216 template<
typename DstXprType,
typename OtherXpr,
typename ProductType,
typename Func1,
typename Func2>
219 template<
typename SrcXprType,
typename InitialFunc>
221 void run(DstXprType &dst,
const SrcXprType &src,
const InitialFunc& )
228 #define EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(ASSIGN_OP,BINOP,ASSIGN_OP2) \
229 template< typename DstXprType, typename OtherXpr, typename Lhs, typename Rhs, typename DstScalar, typename SrcScalar, typename OtherScalar,typename ProdScalar> \
230 struct Assignment<DstXprType, CwiseBinaryOp<internal::BINOP<OtherScalar,ProdScalar>, const OtherXpr, \
231 const Product<Lhs,Rhs,DefaultProduct> >, internal::ASSIGN_OP<DstScalar,SrcScalar>, Dense2Dense> \
232 : assignment_from_xpr_op_product<DstXprType, OtherXpr, Product<Lhs,Rhs,DefaultProduct>, internal::ASSIGN_OP<DstScalar,OtherScalar>, internal::ASSIGN_OP2<DstScalar,ProdScalar> > \
245 template<
typename Lhs,
typename Rhs>
248 template<
typename Dst>
251 dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
254 template<
typename Dst>
257 dst.coeffRef(0,0) += (lhs.transpose().cwiseProduct(rhs)).sum();
260 template<
typename Dst>
262 { dst.coeffRef(0,0) -= (lhs.transpose().cwiseProduct(rhs)).sum(); }
271 template<
typename Dst,
typename Lhs,
typename Rhs,
typename Func>
280 func(dst.col(
j), rhsEval.coeff(
Index(0),
j) * actual_lhs);
284 template<
typename Dst,
typename Lhs,
typename Rhs,
typename Func>
293 func(dst.row(
i), lhsEval.coeff(
i,
Index(0)) * actual_rhs);
296 template<
typename Lhs,
typename Rhs>
299 template<
typename T>
struct is_row_major :
internal::conditional<(int(T::Flags)&RowMajorBit), internal::true_type, internal::false_type>
::type {};
304 struct add {
template<
typename Dst,
typename Src>
EIGEN_DEVICE_FUNC void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() += src; } };
305 struct sub {
template<
typename Dst,
typename Src>
EIGEN_DEVICE_FUNC void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() -= src; } };
310 dst.const_cast_derived() += m_scale * src;
314 template<
typename Dst>
320 template<
typename Dst>
326 template<
typename Dst>
332 template<
typename Dst>
342 template<
typename Lhs,
typename Rhs,
typename Derived>
347 template<
typename Dst>
351 template<
typename Dst>
355 template<
typename Dst>
359 template<
typename Dst>
361 { Derived::scaleAndAddTo(dst,lhs,rhs,
alpha); }
365 template<
typename Lhs,
typename Rhs>
375 template<
typename Dest>
379 if (lhs.rows() == 1 && rhs.cols() == 1) {
380 dst.coeffRef(0,0) +=
alpha * lhs.row(0).conjugate().dot(rhs.col(0));
392 template<
typename Lhs,
typename Rhs>
397 template<
typename Dst>
405 template<
typename Dst>
412 template<
typename Dst>
433 template<
typename Dst,
typename Func>
444 Scalar actualAlpha = combine_scalar_factors<Scalar>(lhs, rhs);
446 eval_dynamic_impl(dst,
456 template<
typename Dst,
typename LhsT,
typename RhsT,
typename Func,
typename Scalar>
465 template<
typename Dst,
typename LhsT,
typename RhsT,
typename Func,
typename Scalar>
474 template<
typename Lhs,
typename Rhs>
484 template<
int Traversal,
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename RetScalar>
487 template<
int StorageOrder,
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
490 template<
typename Lhs,
typename Rhs,
int ProductTag>
505 m_innerDim(xpr.lhs().
cols())
511 std::cerr <<
"LhsOuterStrideBytes= " << LhsOuterStrideBytes <<
"\n";
512 std::cerr <<
"RhsOuterStrideBytes= " << RhsOuterStrideBytes <<
"\n";
513 std::cerr <<
"LhsAlignment= " << LhsAlignment <<
"\n";
514 std::cerr <<
"RhsAlignment= " << RhsAlignment <<
"\n";
515 std::cerr <<
"CanVectorizeLhs= " << CanVectorizeLhs <<
"\n";
516 std::cerr <<
"CanVectorizeRhs= " << CanVectorizeRhs <<
"\n";
517 std::cerr <<
"CanVectorizeInner= " << CanVectorizeInner <<
"\n";
518 std::cerr <<
"EvalToRowMajor= " << EvalToRowMajor <<
"\n";
519 std::cerr <<
"Alignment= " << Alignment <<
"\n";
520 std::cerr <<
"Flags= " << Flags <<
"\n";
536 RowsAtCompileTime = LhsNestedCleaned::RowsAtCompileTime,
537 ColsAtCompileTime = RhsNestedCleaned::ColsAtCompileTime,
539 MaxRowsAtCompileTime = LhsNestedCleaned::MaxRowsAtCompileTime,
540 MaxColsAtCompileTime = RhsNestedCleaned::MaxColsAtCompileTime
548 LhsCoeffReadCost = LhsEtorType::CoeffReadCost,
549 RhsCoeffReadCost = RhsEtorType::CoeffReadCost,
557 LhsFlags = LhsEtorType::Flags,
558 RhsFlags = RhsEtorType::Flags,
572 CanVectorizeRhs = bool(RhsRowMajor) && (RhsFlags &
PacketAccessBit) && (ColsAtCompileTime!=1),
573 CanVectorizeLhs = (!LhsRowMajor) && (LhsFlags &
PacketAccessBit) && (RowsAtCompileTime!=1),
575 EvalToRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
576 : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
577 : (
bool(RhsRowMajor) && !CanVectorizeLhs),
582 | (SameType && (CanVectorizeLhs || CanVectorizeRhs) ?
PacketAccessBit : 0)
588 Alignment = bool(CanVectorizeLhs) ? (LhsOuterStrideBytes<=0 || (
int(LhsOuterStrideBytes) %
EIGEN_PLAIN_ENUM_MAX(1,LhsAlignment))!=0 ? 0 : LhsAlignment)
589 : bool(CanVectorizeRhs) ? (RhsOuterStrideBytes<=0 || (
int(RhsOuterStrideBytes) %
EIGEN_PLAIN_ENUM_MAX(1,RhsAlignment))!=0 ? 0 : RhsAlignment)
597 CanVectorizeInner = SameType
606 return (m_lhs.row(
row).transpose().cwiseProduct( m_rhs.col(
col) )).sum();
616 const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
617 const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
618 return (m_lhs.row(
row).transpose().cwiseProduct( m_rhs.col(
col) )).sum();
621 template<
int LoadMode,
typename PacketType>
633 template<
int LoadMode,
typename PacketType>
637 const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
638 const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
639 return packet<LoadMode,PacketType>(
row,
col);
653 template<
typename Lhs,
typename Rhs>
655 :
product_evaluator<Product<Lhs, Rhs, LazyProduct>, CoeffBasedProductMode, DenseShape, DenseShape>
673 template<
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
678 etor_product_packet_impl<RowMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(
row,
col, lhs, rhs, innerDim,
res);
679 res =
pmadd(pset1<Packet>(lhs.coeff(
row,
Index(UnrollingIndex-1))), rhs.template packet<LoadMode,Packet>(
Index(UnrollingIndex-1),
col),
res);
683 template<
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
688 etor_product_packet_impl<ColMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(
row,
col, lhs, rhs, innerDim,
res);
689 res =
pmadd(lhs.template packet<LoadMode,Packet>(
row,
Index(UnrollingIndex-1)), pset1<Packet>(rhs.coeff(
Index(UnrollingIndex-1),
col)),
res);
693 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
702 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
711 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
720 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
729 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
736 res =
pmadd(pset1<Packet>(lhs.coeff(
row,
i)), rhs.template packet<LoadMode,Packet>(
i,
col),
res);
740 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
747 res =
pmadd(lhs.template packet<LoadMode,Packet>(
row,
i), pset1<Packet>(rhs.coeff(
i,
col)),
res);
755 template<
int Mode,
bool LhsIsTriangular,
756 typename Lhs,
bool LhsIsVector,
757 typename Rhs,
bool RhsIsVector>
760 template<
typename Lhs,
typename Rhs,
int ProductTag>
766 template<
typename Dest>
770 ::run(dst, lhs.nestedExpression(), rhs,
alpha);
774 template<
typename Lhs,
typename Rhs,
int ProductTag>
780 template<
typename Dest>
791 template <
typename Lhs,
int LhsMode,
bool LhsIsVector,
792 typename Rhs,
int RhsMode,
bool RhsIsVector>
795 template<
typename Lhs,
typename Rhs,
int ProductTag>
801 template<
typename Dest>
809 template<
typename Lhs,
typename Rhs,
int ProductTag>
815 template<
typename Dest>
827 template<
typename MatrixType,
typename DiagonalType,
typename Derived,
int ProductOrder>
840 : (Derived::MaxColsAtCompileTime==1 && Derived::MaxRowsAtCompileTime!=1) ?
ColMajor
858 || (DiagonalType::SizeAtCompileTime==
Dynamic && MatrixType::RowsAtCompileTime==1 && ProductOrder==
OnTheLeft)
859 || (DiagonalType::SizeAtCompileTime==
Dynamic && MatrixType::ColsAtCompileTime==1 && ProductOrder==
OnTheRight)
878 template<
int LoadMode,
typename PacketType>
882 internal::pset1<PacketType>(
m_diagImpl.coeff(
id)));
885 template<
int LoadMode,
typename PacketType>
889 InnerSize = (MatrixType::Flags &
RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,
893 m_diagImpl.template packet<DiagonalPacketLoadMode,PacketType>(
id));
901 template<
typename Lhs,
typename Rhs,
int ProductKind,
int ProductTag>
906 using Base::m_diagImpl;
907 using Base::m_matImpl;
916 enum { StorageOrder = Base::_StorageOrder };
925 return m_diagImpl.coeff(
row) * m_matImpl.coeff(
row,
col);
929 template<
int LoadMode,
typename PacketType>
934 return this->
template packet_impl<LoadMode,PacketType>(
row,
col,
row,
938 template<
int LoadMode,
typename PacketType>
941 return packet<LoadMode,PacketType>(
int(StorageOrder)==
ColMajor?idx:0,
int(StorageOrder)==
ColMajor?0:idx);
947 template<
typename Lhs,
typename Rhs,
int ProductKind,
int ProductTag>
952 using Base::m_diagImpl;
953 using Base::m_matImpl;
960 enum { StorageOrder = Base::_StorageOrder };
969 return m_matImpl.coeff(
row,
col) * m_diagImpl.coeff(
col);
973 template<
int LoadMode,
typename PacketType>
976 return this->
template packet_impl<LoadMode,PacketType>(
row,
col,
col,
980 template<
int LoadMode,
typename PacketType>
983 return packet<LoadMode,PacketType>(
int(StorageOrder)==
ColMajor?idx:0,
int(StorageOrder)==
ColMajor?0:idx);
997 template<
typename ExpressionType,
int S
ide,
bool Transposed,
typename ExpressionShape>
1000 template<
typename ExpressionType,
int S
ide,
bool Transposed>
1006 template<
typename Dest,
typename PermutationType>
1020 while(r <
perm.size())
1023 while(r<
perm.size() && mask[r]) r++;
1034 (dst,((Side==
OnTheLeft) ^ Transposed) ?
k0 : kPrev));
1057 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1060 template<
typename Dest>
1067 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1070 template<
typename Dest>
1077 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1080 template<
typename Dest>
1087 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1090 template<
typename Dest>
1108 template<
typename ExpressionType,
int S
ide,
bool Transposed,
typename ExpressionShape>
1114 template<
typename Dest,
typename TranspositionType>
1118 typedef typename TranspositionType::StorageIndex StorageIndex;
1125 for(
Index k=(Transposed?
size-1:0) ; Transposed?k>=0:k<
size ; Transposed?--k:++k)
1126 if(
Index(
j=tr.coeff(k))!=k)
1128 if(Side==
OnTheLeft) dst.row(k).swap(dst.row(
j));
1129 else if(Side==
OnTheRight) dst.col(k).swap(dst.col(
j));
1134 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1137 template<
typename Dest>
1144 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1147 template<
typename Dest>
1155 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1158 template<
typename Dest>
1165 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1168 template<
typename Dest>
1179 #endif // EIGEN_PRODUCT_EVALUATORS_H
Expression of the inverse of another expression.
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const AssignFunc &func)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Lhs &lhs, const Transpose< Rhs > &rhs)
idx_t idx_t idx_t idx_t idx_t * perm
find_best_packet< Scalar, RowsAtCompileTime >::type LhsVecPacketType
find_best_packet_helper< Size, typename packet_traits< T >::type >::type type
#define EIGEN_DEVICE_FUNC
internal::nested_eval< Rhs, Lhs::RowsAtCompileTime >::type RhsNested
Namespace containing all symbols from the Eigen library.
EIGEN_DEVICE_FUNC void operator()(const Dst &dst, const Src &src) const
evaluator< Diagonal< const Product< Lhs, Rhs, LazyProduct >, DiagIndex > > Base
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Lhs &lhs, const Rhs &rhs)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void addTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
#define EIGEN_UNROLLING_LIMIT
evaluator< MatrixType > m_matImpl
Expression of a fixed-size or dynamic-size block.
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void eval_dynamic_impl(Dst &dst, const LhsT &lhs, const RhsT &rhs, const Func &func, const Scalar &s, true_type)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void subTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op, scalar_sum_op, add_assign_op)
nested_eval< ExpressionType, 1 >::type MatrixType
Product< Lhs, Rhs, LazyProduct > XprType
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE product_evaluator(const XprType &xpr)
Generic expression where a coefficient-wise binary operator is applied to two expressions.
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void addTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
internal::add_const_on_value_type< RhsNested >::type m_rhs
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE product_evaluator(const XprType &xpr)
XprType::CoeffReturnType CoeffReturnType
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Lhs &lhs, const Rhs &rhs)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Transpose< Lhs > &lhs, const Rhs &rhs)
XprType::PlainObject PlainObject
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void eval_dynamic(Dst &dst, const Lhs &lhs, const Rhs &rhs, const Func &func)
Matrix diag(const std::vector< Matrix > &Hs)
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE Scalar coeff(Index row, Index col) const
const unsigned int RowMajorBit
Product< Lhs, Rhs, Options > XprType
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE Scalar coeff(Index row, Index col) const
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Lhs &lhs, const Inverse< Rhs > &rhs)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE product_evaluator(const XprType &xpr)
Product< Lhs, Rhs, LazyProduct > BaseProduct
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Dest &dst, const PermutationType &perm, const ExpressionType &xpr)
@ LazyCoeffBasedProductMode
EIGEN_DEVICE_FUNC diagonal_product_evaluator_base(const MatrixType &mat, const DiagonalType &diag)
product_evaluator< BaseProduct, CoeffBasedProductMode, DenseShape, DenseShape > Base
Determines whether the given binary operation of two numeric types is allowed and what the scalar ret...
Product< Lhs, Rhs, ProductKind > XprType
cout<< "Here is the matrix m:"<< endl<< m<< endl;Matrix< ptrdiff_t, 3, 1 > res
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_assignment_no_alias(Dst &dst, const Src &src, const Func &func)
Lhs::DiagonalVectorType DiagonalType
void EIGEN_DEVICE_FUNC operator()(const Dst &dst, const Src &src) const
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs &lhs, const Rhs &rhs, Index innerDim, Packet &res)
EIGEN_STRONG_INLINE PacketType packet(Index row, Index col) const
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE evaluator(const XprType &xpr)
void diagonal(const MatrixType &m)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void subTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
#define eigen_internal_assert(x)
Expression of the transpose of a matrix.
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Index, Index, const Lhs &, const Rhs &, Index, Packet &res)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const InitialFunc &)
Generic expression of a matrix where all coefficients are defined by a functor.
const unsigned int PacketAccessBit
internal::remove_all< typename internal::conditional< int(Side)==OnTheRight, LhsNested, RhsNested >::type >::type MatrixType
internal::remove_all< LhsNested >::type LhsNestedCleaned
Product< Lhs, Rhs >::Scalar Scalar
#define EIGEN_PLAIN_ENUM_MIN(a, b)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_restricted_packet_assignment_no_alias(Dst &dst, const Src &src, const Func &func)
static void scaleAndAddTo(Dest &dst, const Lhs &lhs, const Rhs &rhs, const Scalar &alpha)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void scaleAndAddTo(Dst &dst, const Lhs &lhs, const Rhs &rhs, const Scalar &alpha)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
#define EIGEN_UNUSED_VARIABLE(var)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Index, Index, const Lhs &, const Rhs &, Index, Packet &res)
const unsigned int ActualPacketAccessBit
nested_eval< ExpressionType, 1 >::type MatrixType
Product< Lhs, Rhs >::Scalar Scalar
EIGEN_DEVICE_FUNC product_evaluator(const XprType &xpr)
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE Scalar coeff(Index idx) const
internal::add_const_on_value_type< LhsNested >::type m_lhs
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
graph add(PriorFactor< Pose2 >(1, priorMean, priorNoise))
internal::nested_eval< Lhs, Rhs::ColsAtCompileTime >::type LhsNested
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs &lhs, const Rhs &rhs, Index, Packet &res)
XprType::PlainObject PlainObject
#define ei_declare_local_nested_eval(XPR_T, XPR, N, NAME)
Expression of a diagonal/subdiagonal/superdiagonal in a matrix.
#define EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(SCALAR, EXPR, OPNAME)
#define EIGEN_STRONG_INLINE
Diagonal< const Product< Lhs, Rhs, DefaultProduct >, DiagIndex > XprType
EIGEN_STRONG_INLINE PacketType packet(Index idx) const
const EIGEN_DEVICE_FUNC XprTypeNestedCleaned & nestedExpression() const
storage_kind_to_shape< typename traits< T >::StorageKind >::Shape Shape
product_evaluator< XprType > Base
evaluator< RhsNestedCleaned > RhsEtorType
Expression of the product of two arbitrary matrices or vectors.
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar & coeffRef(Index rowId, Index colId)
find_best_packet< Scalar, ColsAtCompileTime >::type RhsVecPacketType
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void eval_dynamic_impl(Dst &dst, const LhsT &lhs, const RhsT &rhs, const Func &func, const Scalar &s, false_type)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void addTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
nested_eval< Lhs, 1 >::type LhsNested
CwiseBinaryOp< internal::scalar_product_op< Scalar1, Scalar2 >, const CwiseNullaryOp< internal::scalar_constant_op< Scalar1 >, Plain1 >, const Product< Lhs, Rhs, DefaultProduct > > XprType
Product< Lhs, Rhs >::Scalar Scalar
Product< Lhs, Rhs >::Scalar Scalar
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE LhsNestedCleaned & lhs() const
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void addTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Lhs &lhs, const Rhs &rhs)
EIGEN_STRONG_INLINE PacketType packet(Index row, Index col) const
static EIGEN_DEVICE_FUNC void scaleAndAddTo(Dest &dst, const Lhs &lhs, const Rhs &rhs, const Scalar &alpha)
nested_eval< Rhs, 1 >::type RhsNested
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void scaleAndAddTo(Dst &dst, const Lhs &lhs, const Rhs &rhs, const Scalar &alpha)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE _RhsNested & rhs() const
remove_all< MatrixType >::type MatrixTypeCleaned
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs &lhs, const Rhs &rhs, Index innerDim, Packet &res)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op< Scalar, Scalar > &)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op< Scalar, Scalar > &)
void set(Container &c, Position position, const Value &value)
evaluator< Product< EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1, Lhs, product), Rhs, DefaultProduct > > Base
diagonal_product_evaluator_base< Lhs, typename Rhs::DiagonalVectorType, Product< Lhs, Rhs, LazyProduct >, OnTheRight > Base
static void scaleAndAddTo(Dest &dst, const Lhs &lhs, const Rhs &rhs, const Scalar &alpha)
const unsigned int LinearAccessBit
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs &lhs, const Rhs &rhs, Index, Packet &res)
evaluator< PlainObject > Base
XprType::PlainObject PlainObject
EIGEN_DEVICE_FUNC Packet pmul(const Packet &a, const Packet &b)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void subTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
ScalarBinaryOpTraits< typename MatrixType::Scalar, typename DiagonalType::Scalar >::ReturnType Scalar
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Dest &dst, const TranspositionType &tr, const ExpressionType &xpr)
Product< Lhs, Rhs, Options > SrcXprType
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE RhsNestedCleaned & rhs() const
EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f &a, const Packet4f &b, const Packet4f &c)
#define EIGEN_PLAIN_ENUM_MAX(a, b)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op< Scalar, Scalar > &)
Product< Lhs, Rhs >::Scalar Scalar
EIGEN_DEVICE_FUNC bool is_same_dense(const T1 &mat1, const T2 &mat2, typename enable_if< possibly_same_dense< T1, T2 >::value >::type *=0)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Inverse< Lhs > &lhs, const Rhs &rhs)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs &lhs, const Rhs &rhs, Index innerDim, Packet &res)
Product< Lhs, Rhs >::Scalar Scalar
Product< Lhs, Rhs >::Scalar Scalar
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void subTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE evaluator(const XprType &xpr)
diagonal_product_evaluator_base< Rhs, typename Lhs::DiagonalVectorType, Product< Lhs, Rhs, LazyProduct >, OnTheLeft > Base
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dest &dst, const Lhs &lhs, const Rhs &rhs)
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE PacketType packet(Index index) const
void product(const MatrixType &m)
remove_all< MatrixType >::type MatrixTypeCleaned
evaluator< LhsNestedCleaned > LhsEtorType
Product< Lhs, Rhs, ProductKind > XprType
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
The matrix class, also used for vectors and row-vectors.
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE evaluator(const XprType &xpr)
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void scaleAndAddTo(Dest &dst, const Lhs &lhs, const Rhs &rhs, const Scalar &alpha)
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE internal::remove_all< MatrixTypeNested >::type & nestedExpression() const
CwiseBinaryOp< internal::scalar_product_op< ScalarBis, Scalar >, const CwiseNullaryOp< internal::scalar_constant_op< ScalarBis >, Plain >, const Product< Lhs, Rhs, DefaultProduct > > SrcXprType
EIGEN_STRONG_INLINE PacketType packet_impl(Index row, Index col, Index id, internal::true_type) const
evaluator< DiagonalType > m_diagImpl
EIGEN_CONSTEXPR Index size(const T &x)
#define EIGEN_INTERNAL_CHECK_COST_VALUE(C)
const unsigned int EvalBeforeNestingBit
Product< Lhs, Rhs, Options > XprType
EIGEN_DEVICE_FUNC product_evaluator(const XprType &xpr)
const unsigned int HereditaryBits
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalTo(Dst &dst, const Lhs &lhs, const Rhs &rhs)
Product< Lhs, Rhs, Options > SrcXprType
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE PacketType packet(Index row, Index col) const
EIGEN_DEVICE_FUNC void operator()(const Dst &dst, const Src &src) const
internal::remove_all< RhsNested >::type RhsNestedCleaned
Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
void EIGEN_DEVICE_FUNC outer_product_selector_run(Dst &dst, const Lhs &lhs, const Rhs &rhs, const Func &func, const false_type &)
#define EIGEN_SIZE_MIN_PREFER_FIXED(a, b)
static void scaleAndAddTo(Dest &dst, const Lhs &lhs, const Rhs &rhs, const Scalar &alpha)
Product< Lhs, Rhs >::Scalar Scalar
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE CoeffReturnType coeff(Index row, Index col) const
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE _LhsNested & lhs() const
EIGEN_DEVICE_FUNC void operator()(const Dst &dst, const Src &src) const
Product< Lhs, Rhs, Options > SrcXprType
EIGEN_STRONG_INLINE PacketType packet(Index idx) const
Product< Lhs, Rhs, DefaultProduct > XprType
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
EIGEN_DONT_INLINE T sub(T a, T b)
gtsam
Author(s):
autogenerated on Fri Nov 1 2024 03:34:48