13 #ifndef EIGEN_PRODUCTEVALUATORS_H 14 #define EIGEN_PRODUCTEVALUATORS_H 28 template<
typename Lhs,
typename Rhs,
int Options>
29 struct evaluator<Product<Lhs, Rhs, Options> >
30 :
public product_evaluator<Product<Lhs, Rhs, Options> >
32 typedef Product<Lhs, Rhs, Options> XprType;
33 typedef product_evaluator<XprType> Base;
35 EIGEN_DEVICE_FUNC
explicit evaluator(
const XprType& xpr) : Base(xpr) {}
40 template<
typename Lhs,
typename Rhs,
typename Scalar1,
typename Scalar2,
typename Plain1>
41 struct evaluator_assume_aliasing<CwiseBinaryOp<
internal::scalar_product_op<Scalar1,Scalar2>,
42 const CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>,
43 const Product<Lhs, Rhs, DefaultProduct> > >
45 static const bool value =
true;
47 template<
typename Lhs,
typename Rhs,
typename Scalar1,
typename Scalar2,
typename Plain1>
48 struct evaluator<CwiseBinaryOp<
internal::scalar_product_op<Scalar1,Scalar2>,
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> >
53 typedef CwiseBinaryOp<internal::scalar_product_op<Scalar1,Scalar2>,
54 const CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>,
55 const Product<Lhs, Rhs, DefaultProduct> > XprType;
56 typedef evaluator<Product<EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1,Lhs,product), Rhs, DefaultProduct> > Base;
58 EIGEN_DEVICE_FUNC
explicit evaluator(
const XprType& xpr)
59 : Base(xpr.lhs().functor().m_other * xpr.rhs().lhs() * xpr.rhs().rhs())
64 template<
typename Lhs,
typename Rhs,
int DiagIndex>
65 struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
66 :
public evaluator<Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagIndex> >
68 typedef Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> XprType;
69 typedef evaluator<Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagIndex> > Base;
71 EIGEN_DEVICE_FUNC
explicit evaluator(
const XprType& xpr)
72 : Base(Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagIndex>(
73 Product<Lhs, Rhs, LazyProduct>(xpr.nestedExpression().lhs(), xpr.nestedExpression().rhs()),
82 template<
typename Lhs,
typename Rhs,
83 typename LhsShape =
typename evaluator_traits<Lhs>::Shape,
84 typename RhsShape =
typename evaluator_traits<Rhs>::Shape,
85 int ProductType = internal::product_type<Lhs,Rhs>::value>
86 struct generic_product_impl;
88 template<
typename Lhs,
typename Rhs>
89 struct evaluator_assume_aliasing<Product<Lhs, Rhs, DefaultProduct> > {
90 static const bool value =
true;
95 template<
typename Lhs,
typename Rhs,
int Options,
int ProductTag,
typename LhsShape,
typename RhsShape>
96 struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
97 :
public evaluator<typename Product<Lhs, Rhs, Options>::PlainObject>
99 typedef Product<Lhs, Rhs, Options> XprType;
100 typedef typename XprType::PlainObject PlainObject;
101 typedef evaluator<PlainObject> Base;
106 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
107 explicit product_evaluator(
const XprType& xpr)
108 : m_result(xpr.rows(), xpr.cols())
110 ::new (static_cast<Base*>(
this)) Base(m_result);
124 generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
128 PlainObject m_result;
135 template< typename DstXprType, typename Lhs, typename Rhs,
int Options, typename Scalar>
136 struct Assignment<DstXprType, Product<Lhs,Rhs,Options>,
internal::assign_op<Scalar,Scalar>, Dense2Dense,
137 typename enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>::type>
139 typedef Product<Lhs,Rhs,Options> SrcXprType;
140 static EIGEN_STRONG_INLINE
141 void run(DstXprType &dst,
const SrcXprType &src,
const internal::assign_op<Scalar,Scalar> &)
143 Index dstRows = src.rows();
144 Index dstCols = src.cols();
145 if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
146 dst.resize(dstRows, dstCols);
148 generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
153 template<
typename DstXprType,
typename Lhs,
typename Rhs,
int Options,
typename Scalar>
154 struct Assignment<DstXprType, Product<Lhs,Rhs,Options>,
internal::add_assign_op<Scalar,Scalar>, Dense2Dense,
155 typename enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>::type>
157 typedef Product<Lhs,Rhs,Options> SrcXprType;
158 static EIGEN_STRONG_INLINE
159 void run(DstXprType &dst,
const SrcXprType &src,
const internal::add_assign_op<Scalar,Scalar> &)
161 eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
163 generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
168 template<
typename DstXprType,
typename Lhs,
typename Rhs,
int Options,
typename Scalar>
169 struct Assignment<DstXprType, Product<Lhs,Rhs,Options>,
internal::sub_assign_op<Scalar,Scalar>, Dense2Dense,
170 typename enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>::type>
172 typedef Product<Lhs,Rhs,Options> SrcXprType;
173 static EIGEN_STRONG_INLINE
174 void run(DstXprType &dst,
const SrcXprType &src,
const internal::sub_assign_op<Scalar,Scalar> &)
176 eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
178 generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
186 template<
typename DstXprType,
typename Lhs,
typename Rhs,
typename AssignFunc,
typename Scalar,
typename ScalarBis,
typename Plain>
187 struct Assignment<DstXprType, CwiseBinaryOp<
internal::scalar_product_op<ScalarBis,Scalar>, const CwiseNullaryOp<internal::scalar_constant_op<ScalarBis>,Plain>,
188 const Product<Lhs,Rhs,DefaultProduct> >, AssignFunc, Dense2Dense>
190 typedef CwiseBinaryOp<internal::scalar_product_op<ScalarBis,Scalar>,
191 const CwiseNullaryOp<internal::scalar_constant_op<ScalarBis>,Plain>,
192 const Product<Lhs,Rhs,DefaultProduct> > SrcXprType;
193 static EIGEN_STRONG_INLINE
194 void run(DstXprType &dst,
const SrcXprType &src,
const AssignFunc& func)
196 call_assignment_no_alias(dst, (src.lhs().functor().m_other * src.rhs().lhs())*src.rhs().rhs(), func);
204 template<
typename OtherXpr,
typename Lhs,
typename Rhs>
205 struct evaluator_assume_aliasing<CwiseBinaryOp<
internal::scalar_sum_op<typename OtherXpr::Scalar,typename Product<Lhs,Rhs,DefaultProduct>::Scalar>, const OtherXpr,
206 const Product<Lhs,Rhs,DefaultProduct> >, DenseShape > {
207 static const bool value =
true;
210 template<
typename DstXprType,
typename OtherXpr,
typename ProductType,
typename Func1,
typename Func2>
211 struct assignment_from_xpr_op_product
213 template<
typename SrcXprType,
typename InitialFunc>
214 static EIGEN_STRONG_INLINE
215 void run(DstXprType &dst,
const SrcXprType &src,
const InitialFunc& )
217 call_assignment_no_alias(dst, src.lhs(), Func1());
218 call_assignment_no_alias(dst, src.rhs(), Func2());
222 #define EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(ASSIGN_OP,BINOP,ASSIGN_OP2) \ 223 template< typename DstXprType, typename OtherXpr, typename Lhs, typename Rhs, typename DstScalar, typename SrcScalar, typename OtherScalar,typename ProdScalar> \ 224 struct Assignment<DstXprType, CwiseBinaryOp<internal::BINOP<OtherScalar,ProdScalar>, const OtherXpr, \ 225 const Product<Lhs,Rhs,DefaultProduct> >, internal::ASSIGN_OP<DstScalar,SrcScalar>, Dense2Dense> \ 226 : assignment_from_xpr_op_product<DstXprType, OtherXpr, Product<Lhs,Rhs,DefaultProduct>, internal::ASSIGN_OP<DstScalar,OtherScalar>, internal::ASSIGN_OP2<DstScalar,ProdScalar> > \ 229 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op, scalar_sum_op,add_assign_op);
230 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_sum_op,add_assign_op);
231 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_sum_op,sub_assign_op);
233 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op, scalar_difference_op,sub_assign_op);
234 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_difference_op,sub_assign_op);
235 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_difference_op,add_assign_op);
239 template<
typename Lhs,
typename Rhs>
240 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,InnerProduct>
242 template<
typename Dst>
243 static inline void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
245 dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
248 template<
typename Dst>
249 static inline void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
251 dst.coeffRef(0,0) += (lhs.transpose().cwiseProduct(rhs)).sum();
254 template<
typename Dst>
255 static void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
256 { dst.coeffRef(0,0) -= (lhs.transpose().cwiseProduct(rhs)).sum(); }
265 template<
typename Dst,
typename Lhs,
typename Rhs,
typename Func>
266 void outer_product_selector_run(Dst& dst,
const Lhs &lhs,
const Rhs &rhs,
const Func& func,
const false_type&)
268 evaluator<Rhs> rhsEval(rhs);
269 typename nested_eval<Lhs,Rhs::SizeAtCompileTime>::type actual_lhs(lhs);
272 const Index cols = dst.cols();
273 for (
Index j=0; j<cols; ++j)
274 func(dst.col(j), rhsEval.coeff(
Index(0),j) * actual_lhs);
278 template<
typename Dst,
typename Lhs,
typename Rhs,
typename Func>
279 void outer_product_selector_run(Dst& dst,
const Lhs &lhs,
const Rhs &rhs,
const Func& func,
const true_type&)
281 evaluator<Lhs> lhsEval(lhs);
282 typename nested_eval<Rhs,Lhs::SizeAtCompileTime>::type actual_rhs(rhs);
285 const Index rows = dst.rows();
286 for (
Index i=0; i<rows; ++i)
287 func(dst.row(i), lhsEval.coeff(i,
Index(0)) * actual_rhs);
290 template<
typename Lhs,
typename Rhs>
291 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,OuterProduct>
293 template<
typename T>
struct is_row_major : internal::conditional<(int(T::Flags)&RowMajorBit), internal::true_type, internal::false_type>::type {};
294 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
297 struct set {
template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() = src; } };
298 struct add {
template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() += src; } };
299 struct sub {
template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() -= src; } };
302 explicit adds(
const Scalar& s) : m_scale(s) {}
303 template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const {
304 dst.const_cast_derived() += m_scale * src;
308 template<
typename Dst>
309 static inline void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
311 internal::outer_product_selector_run(dst, lhs, rhs,
set(), is_row_major<Dst>());
314 template<
typename Dst>
315 static inline void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
317 internal::outer_product_selector_run(dst, lhs, rhs, add(), is_row_major<Dst>());
320 template<
typename Dst>
321 static inline void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
323 internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
326 template<
typename Dst>
327 static inline void scaleAndAddTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
329 internal::outer_product_selector_run(dst, lhs, rhs, adds(alpha), is_row_major<Dst>());
336 template<
typename Lhs,
typename Rhs,
typename Derived>
337 struct generic_product_impl_base
339 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
341 template<
typename Dst>
342 static EIGEN_STRONG_INLINE
void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
343 { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
345 template<
typename Dst>
346 static EIGEN_STRONG_INLINE
void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
347 { scaleAndAddTo(dst,lhs, rhs, Scalar(1)); }
349 template<
typename Dst>
350 static EIGEN_STRONG_INLINE
void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
351 { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
353 template<
typename Dst>
354 static EIGEN_STRONG_INLINE
void scaleAndAddTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
355 { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
359 template<
typename Lhs,
typename Rhs>
360 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct>
361 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct> >
363 typedef typename nested_eval<Lhs,1>::type LhsNested;
364 typedef typename nested_eval<Rhs,1>::type RhsNested;
365 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
367 typedef typename internal::remove_all<typename internal::conditional<int(Side)==OnTheRight,LhsNested,RhsNested>::type>::type MatrixType;
369 template<
typename Dest>
370 static EIGEN_STRONG_INLINE
void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
372 LhsNested actual_lhs(lhs);
373 RhsNested actual_rhs(rhs);
374 internal::gemv_dense_selector<Side,
376 bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
377 >::run(actual_lhs, actual_rhs, dst, alpha);
381 template<
typename Lhs,
typename Rhs>
382 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode>
384 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
386 template<
typename Dst>
387 static EIGEN_STRONG_INLINE
void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
391 call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::assign_op<typename Dst::Scalar,Scalar>());
394 template<
typename Dst>
395 static EIGEN_STRONG_INLINE
void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
398 call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::add_assign_op<typename Dst::Scalar,Scalar>());
401 template<
typename Dst>
402 static EIGEN_STRONG_INLINE
void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
405 call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::sub_assign_op<typename Dst::Scalar,Scalar>());
414 template<
typename Lhs,
typename Rhs>
415 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,LazyCoeffBasedProductMode>
416 : generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode> {};
424 template<
int Traversal,
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename RetScalar>
425 struct etor_product_coeff_impl;
427 template<
int StorageOrder,
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
428 struct etor_product_packet_impl;
430 template<
typename Lhs,
typename Rhs,
int ProductTag>
431 struct product_evaluator<Product<Lhs, Rhs, LazyProduct>, ProductTag, DenseShape, DenseShape>
432 : evaluator_base<Product<Lhs, Rhs, LazyProduct> >
434 typedef Product<Lhs, Rhs, LazyProduct> XprType;
435 typedef typename XprType::Scalar Scalar;
436 typedef typename XprType::CoeffReturnType CoeffReturnType;
438 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
439 explicit product_evaluator(
const XprType& xpr)
445 m_innerDim(xpr.lhs().cols())
447 EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
448 EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::AddCost);
449 EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
451 std::cerr <<
"LhsOuterStrideBytes= " << LhsOuterStrideBytes <<
"\n";
452 std::cerr <<
"RhsOuterStrideBytes= " << RhsOuterStrideBytes <<
"\n";
453 std::cerr <<
"LhsAlignment= " << LhsAlignment <<
"\n";
454 std::cerr <<
"RhsAlignment= " << RhsAlignment <<
"\n";
455 std::cerr <<
"CanVectorizeLhs= " << CanVectorizeLhs <<
"\n";
456 std::cerr <<
"CanVectorizeRhs= " << CanVectorizeRhs <<
"\n";
457 std::cerr <<
"CanVectorizeInner= " << CanVectorizeInner <<
"\n";
458 std::cerr <<
"EvalToRowMajor= " << EvalToRowMajor <<
"\n";
459 std::cerr <<
"Alignment= " << Alignment <<
"\n";
460 std::cerr <<
"Flags= " << Flags <<
"\n";
466 typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
467 typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
469 typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned;
470 typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned;
472 typedef evaluator<LhsNestedCleaned> LhsEtorType;
473 typedef evaluator<RhsNestedCleaned> RhsEtorType;
476 RowsAtCompileTime = LhsNestedCleaned::RowsAtCompileTime,
477 ColsAtCompileTime = RhsNestedCleaned::ColsAtCompileTime,
478 InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsNestedCleaned::ColsAtCompileTime, RhsNestedCleaned::RowsAtCompileTime),
479 MaxRowsAtCompileTime = LhsNestedCleaned::MaxRowsAtCompileTime,
480 MaxColsAtCompileTime = RhsNestedCleaned::MaxColsAtCompileTime
483 typedef typename find_best_packet<Scalar,RowsAtCompileTime>::type LhsVecPacketType;
484 typedef typename find_best_packet<Scalar,ColsAtCompileTime>::type RhsVecPacketType;
488 LhsCoeffReadCost = LhsEtorType::CoeffReadCost,
489 RhsCoeffReadCost = RhsEtorType::CoeffReadCost,
490 CoeffReadCost = InnerSize==0 ? NumTraits<Scalar>::ReadCost
492 : InnerSize * (NumTraits<Scalar>::MulCost + LhsCoeffReadCost + RhsCoeffReadCost)
493 + (InnerSize - 1) * NumTraits<Scalar>::AddCost,
495 Unroll = CoeffReadCost <= EIGEN_UNROLLING_LIMIT,
497 LhsFlags = LhsEtorType::Flags,
498 RhsFlags = RhsEtorType::Flags,
503 LhsVecPacketSize = unpacket_traits<LhsVecPacketType>::size,
504 RhsVecPacketSize = unpacket_traits<RhsVecPacketType>::size,
507 LhsAlignment = EIGEN_PLAIN_ENUM_MIN(LhsEtorType::Alignment,LhsVecPacketSize*
int(
sizeof(
typename LhsNestedCleaned::Scalar))),
508 RhsAlignment = EIGEN_PLAIN_ENUM_MIN(RhsEtorType::Alignment,RhsVecPacketSize*
int(
sizeof(
typename RhsNestedCleaned::Scalar))),
510 SameType = is_same<typename LhsNestedCleaned::Scalar,typename RhsNestedCleaned::Scalar>::value,
512 CanVectorizeRhs = bool(RhsRowMajor) && (RhsFlags &
PacketAccessBit) && (ColsAtCompileTime!=1),
513 CanVectorizeLhs = (!LhsRowMajor) && (LhsFlags &
PacketAccessBit) && (RowsAtCompileTime!=1),
515 EvalToRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
516 : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
517 : (
bool(RhsRowMajor) && !CanVectorizeLhs),
519 Flags = ((
unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit)
522 | (SameType && (CanVectorizeLhs || CanVectorizeRhs) ?
PacketAccessBit : 0)
525 LhsOuterStrideBytes = int(LhsNestedCleaned::OuterStrideAtCompileTime) * int(
sizeof(
typename LhsNestedCleaned::Scalar)),
526 RhsOuterStrideBytes = int(RhsNestedCleaned::OuterStrideAtCompileTime) * int(
sizeof(
typename RhsNestedCleaned::Scalar)),
528 Alignment = bool(CanVectorizeLhs) ? (LhsOuterStrideBytes<=0 || (int(LhsOuterStrideBytes) % EIGEN_PLAIN_ENUM_MAX(1,LhsAlignment))!=0 ? 0 : LhsAlignment)
529 : bool(CanVectorizeRhs) ? (RhsOuterStrideBytes<=0 || (int(RhsOuterStrideBytes) % EIGEN_PLAIN_ENUM_MAX(1,RhsAlignment))!=0 ? 0 : RhsAlignment)
537 CanVectorizeInner = SameType
541 && (InnerSize % packet_traits<Scalar>::size == 0)
544 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const CoeffReturnType coeff(
Index row,
Index col)
const 546 return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
553 EIGEN_DEVICE_FUNC
const CoeffReturnType coeff(
Index index)
const 555 const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
556 const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
557 return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
560 template<
int LoadMode,
typename PacketType>
561 const PacketType packet(
Index row,
Index col)
const 564 typedef etor_product_packet_impl<bool(
int(Flags)&RowMajorBit) ?
RowMajor :
ColMajor,
565 Unroll ? int(InnerSize) :
Dynamic,
566 LhsEtorType, RhsEtorType, PacketType, LoadMode> PacketImpl;
567 PacketImpl::run(row, col, m_lhsImpl, m_rhsImpl, m_innerDim, res);
571 template<
int LoadMode,
typename PacketType>
572 const PacketType packet(
Index index)
const 574 const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
575 const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
576 return packet<LoadMode,PacketType>(row,col);
580 typename internal::add_const_on_value_type<LhsNested>::type m_lhs;
581 typename internal::add_const_on_value_type<RhsNested>::type m_rhs;
583 LhsEtorType m_lhsImpl;
584 RhsEtorType m_rhsImpl;
590 template<
typename Lhs,
typename Rhs>
591 struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, LazyCoeffBasedProductMode, DenseShape, DenseShape>
592 : product_evaluator<Product<Lhs, Rhs, LazyProduct>, CoeffBasedProductMode, DenseShape, DenseShape>
594 typedef Product<Lhs, Rhs, DefaultProduct> XprType;
595 typedef Product<Lhs, Rhs, LazyProduct> BaseProduct;
596 typedef product_evaluator<BaseProduct, CoeffBasedProductMode, DenseShape, DenseShape> Base;
600 EIGEN_DEVICE_FUNC
explicit product_evaluator(
const XprType& xpr)
601 : Base(BaseProduct(xpr.lhs(),xpr.rhs()))
609 template<
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
610 struct etor_product_packet_impl<
RowMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
612 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet &res)
614 etor_product_packet_impl<RowMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, innerDim, res);
615 res = pmadd(pset1<Packet>(lhs.coeff(row,
Index(UnrollingIndex-1))), rhs.template packet<LoadMode,Packet>(
Index(UnrollingIndex-1), col), res);
619 template<
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
620 struct etor_product_packet_impl<
ColMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
622 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet &res)
624 etor_product_packet_impl<ColMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, innerDim, res);
625 res = pmadd(lhs.template packet<LoadMode,Packet>(row,
Index(UnrollingIndex-1)), pset1<Packet>(rhs.coeff(
Index(UnrollingIndex-1), col)), res);
629 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
630 struct etor_product_packet_impl<
RowMajor, 1, Lhs, Rhs, Packet, LoadMode>
632 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index , Packet &res)
634 res = pmul(pset1<Packet>(lhs.coeff(row,
Index(0))),rhs.template packet<LoadMode,Packet>(
Index(0), col));
638 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
639 struct etor_product_packet_impl<
ColMajor, 1, Lhs, Rhs, Packet, LoadMode>
641 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index , Packet &res)
643 res = pmul(lhs.template packet<LoadMode,Packet>(row,
Index(0)), pset1<Packet>(rhs.coeff(
Index(0), col)));
647 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
648 struct etor_product_packet_impl<
RowMajor, 0, Lhs, Rhs, Packet, LoadMode>
650 static EIGEN_STRONG_INLINE
void run(
Index ,
Index ,
const Lhs& ,
const Rhs& ,
Index , Packet &res)
652 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
656 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
657 struct etor_product_packet_impl<
ColMajor, 0, Lhs, Rhs, Packet, LoadMode>
659 static EIGEN_STRONG_INLINE
void run(
Index ,
Index ,
const Lhs& ,
const Rhs& ,
Index , Packet &res)
661 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
665 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
666 struct etor_product_packet_impl<
RowMajor,
Dynamic, Lhs, Rhs, Packet, LoadMode>
668 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet& res)
670 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
671 for(
Index i = 0; i < innerDim; ++i)
672 res = pmadd(pset1<Packet>(lhs.coeff(row, i)), rhs.template packet<LoadMode,Packet>(i, col), res);
676 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
677 struct etor_product_packet_impl<
ColMajor,
Dynamic, Lhs, Rhs, Packet, LoadMode>
679 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet& res)
681 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
682 for(
Index i = 0; i < innerDim; ++i)
683 res = pmadd(lhs.template packet<LoadMode,Packet>(row, i), pset1<Packet>(rhs.coeff(i, col)), res);
691 template<
int Mode,
bool LhsIsTriangular,
692 typename Lhs,
bool LhsIsVector,
693 typename Rhs,
bool RhsIsVector>
694 struct triangular_product_impl;
696 template<
typename Lhs,
typename Rhs,
int ProductTag>
697 struct generic_product_impl<Lhs,Rhs,TriangularShape,DenseShape,ProductTag>
698 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,TriangularShape,DenseShape,ProductTag> >
700 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
702 template<
typename Dest>
703 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
705 triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
706 ::run(dst, lhs.nestedExpression(), rhs, alpha);
710 template<
typename Lhs,
typename Rhs,
int ProductTag>
711 struct generic_product_impl<Lhs,Rhs,DenseShape,TriangularShape,ProductTag>
712 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,TriangularShape,ProductTag> >
714 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
716 template<
typename Dest>
717 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
719 triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
727 template <
typename Lhs,
int LhsMode,
bool LhsIsVector,
728 typename Rhs,
int RhsMode,
bool RhsIsVector>
729 struct selfadjoint_product_impl;
731 template<
typename Lhs,
typename Rhs,
int ProductTag>
732 struct generic_product_impl<Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag>
733 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag> >
735 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
737 template<
typename Dest>
738 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
740 selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
744 template<
typename Lhs,
typename Rhs,
int ProductTag>
745 struct generic_product_impl<Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag>
746 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag> >
748 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
750 template<
typename Dest>
751 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
753 selfadjoint_product_impl<Lhs,0,Lhs::IsVectorAtCompileTime,typename Rhs::MatrixType,Rhs::Mode,false>::run(dst, lhs, rhs.nestedExpression(), alpha);
762 template<
typename MatrixType,
typename DiagonalType,
typename Derived,
int ProductOrder>
763 struct diagonal_product_evaluator_base
764 : evaluator_base<Derived>
766 typedef typename ScalarBinaryOpTraits<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ReturnType Scalar;
769 CoeffReadCost = NumTraits<Scalar>::MulCost + evaluator<MatrixType>::CoeffReadCost + evaluator<DiagonalType>::CoeffReadCost,
771 MatrixFlags = evaluator<MatrixType>::Flags,
772 DiagFlags = evaluator<DiagonalType>::Flags,
774 _ScalarAccessOnDiag = !((int(_StorageOrder) ==
ColMajor && int(ProductOrder) ==
OnTheLeft)
776 _SameTypes = is_same<typename MatrixType::Scalar, typename DiagonalType::Scalar>::value,
779 _Vectorizable = bool(
int(MatrixFlags)&PacketAccessBit) && _SameTypes && (_ScalarAccessOnDiag || (bool(
int(DiagFlags)&PacketAccessBit))),
780 _LinearAccessMask = (MatrixType::RowsAtCompileTime==1 || MatrixType::ColsAtCompileTime==1) ? LinearAccessBit : 0,
781 Flags = ((HereditaryBits|_LinearAccessMask) & (
unsigned int)(MatrixFlags)) | (_Vectorizable ? PacketAccessBit : 0),
782 Alignment = evaluator<MatrixType>::Alignment
785 diagonal_product_evaluator_base(
const MatrixType &mat,
const DiagonalType &diag)
786 : m_diagImpl(diag), m_matImpl(mat)
788 EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
789 EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
792 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const Scalar coeff(
Index idx)
const 794 return m_diagImpl.coeff(idx) * m_matImpl.coeff(idx);
798 template<
int LoadMode,
typename PacketType>
799 EIGEN_STRONG_INLINE PacketType packet_impl(
Index row,
Index col,
Index id, internal::true_type)
const 801 return internal::pmul(m_matImpl.template packet<LoadMode,PacketType>(row, col),
802 internal::pset1<PacketType>(m_diagImpl.coeff(
id)));
805 template<
int LoadMode,
typename PacketType>
806 EIGEN_STRONG_INLINE PacketType packet_impl(
Index row,
Index col,
Index id, internal::false_type)
const 809 InnerSize = (MatrixType::Flags &
RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,
810 DiagonalPacketLoadMode = EIGEN_PLAIN_ENUM_MIN(LoadMode,((InnerSize%16) == 0) ? int(
Aligned16) : int(evaluator<DiagonalType>::Alignment))
812 return internal::pmul(m_matImpl.template packet<LoadMode,PacketType>(row, col),
813 m_diagImpl.template packet<DiagonalPacketLoadMode,PacketType>(
id));
816 evaluator<DiagonalType> m_diagImpl;
817 evaluator<MatrixType> m_matImpl;
821 template<
typename Lhs,
typename Rhs,
int ProductKind,
int ProductTag>
822 struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DiagonalShape, DenseShape>
823 : diagonal_product_evaluator_base<Rhs, typename Lhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>, OnTheLeft>
825 typedef diagonal_product_evaluator_base<Rhs, typename Lhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>,
OnTheLeft> Base;
826 using Base::m_diagImpl;
827 using Base::m_matImpl;
829 typedef typename Base::Scalar Scalar;
831 typedef Product<Lhs, Rhs, ProductKind> XprType;
832 typedef typename XprType::PlainObject PlainObject;
838 EIGEN_DEVICE_FUNC
explicit product_evaluator(
const XprType& xpr)
839 : Base(xpr.rhs(), xpr.lhs().diagonal())
843 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const Scalar coeff(
Index row,
Index col)
const 845 return m_diagImpl.coeff(row) * m_matImpl.coeff(row, col);
849 template<
int LoadMode,
typename PacketType>
850 EIGEN_STRONG_INLINE PacketType packet(
Index row,
Index col)
const 854 return this->
template packet_impl<LoadMode,PacketType>(row,col, row,
855 typename internal::conditional<int(StorageOrder)==RowMajor, internal::true_type, internal::false_type>::type());
858 template<
int LoadMode,
typename PacketType>
859 EIGEN_STRONG_INLINE PacketType packet(
Index idx)
const 861 return packet<LoadMode,PacketType>(int(StorageOrder)==
ColMajor?idx:0,int(StorageOrder)==
ColMajor?0:idx);
867 template<
typename Lhs,
typename Rhs,
int ProductKind,
int ProductTag>
868 struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DenseShape, DiagonalShape>
869 : diagonal_product_evaluator_base<Lhs, typename Rhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>,
OnTheRight>
871 typedef diagonal_product_evaluator_base<Lhs, typename Rhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>,
OnTheRight> Base;
872 using Base::m_diagImpl;
873 using Base::m_matImpl;
875 typedef typename Base::Scalar Scalar;
877 typedef Product<Lhs, Rhs, ProductKind> XprType;
878 typedef typename XprType::PlainObject PlainObject;
880 enum { StorageOrder = int(Lhs::Flags) & RowMajorBit ?
RowMajor :
ColMajor };
882 EIGEN_DEVICE_FUNC
explicit product_evaluator(
const XprType& xpr)
883 : Base(xpr.lhs(), xpr.rhs().diagonal())
887 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const Scalar coeff(
Index row,
Index col)
const 889 return m_matImpl.coeff(row, col) * m_diagImpl.coeff(col);
893 template<
int LoadMode,
typename PacketType>
894 EIGEN_STRONG_INLINE PacketType packet(
Index row,
Index col)
const 896 return this->
template packet_impl<LoadMode,PacketType>(row,col, col,
897 typename internal::conditional<int(StorageOrder)==ColMajor, internal::true_type, internal::false_type>::type());
900 template<
int LoadMode,
typename PacketType>
901 EIGEN_STRONG_INLINE PacketType packet(
Index idx)
const 903 return packet<LoadMode,PacketType>(int(StorageOrder)==
ColMajor?idx:0,int(StorageOrder)==
ColMajor?0:idx);
917 template<
typename ExpressionType,
int S
ide,
bool Transposed,
typename ExpressionShape>
918 struct permutation_matrix_product;
920 template<
typename ExpressionType,
int S
ide,
bool Transposed>
921 struct permutation_matrix_product<ExpressionType, Side, Transposed, DenseShape>
923 typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
924 typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
926 template<
typename Dest,
typename PermutationType>
927 static inline void run(Dest& dst,
const PermutationType& perm,
const ExpressionType& xpr)
934 if(is_same_dense(dst, mat))
937 Matrix<bool,PermutationType::RowsAtCompileTime,1,0,PermutationType::MaxRowsAtCompileTime> mask(perm.size());
940 while(r < perm.size())
943 while(r<perm.size() && mask[r]) r++;
949 mask.coeffRef(k0) =
true;
950 for(
Index k=perm.indices().coeff(k0); k!=k0; k=perm.indices().coeff(k))
952 Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>(dst, k)
953 .swap(Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
954 (dst,((Side==
OnTheLeft) ^ Transposed) ? k0 : kPrev));
956 mask.coeffRef(k) =
true;
963 for(
Index i = 0; i < n; ++i)
965 Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
966 (dst, ((Side==
OnTheLeft) ^ Transposed) ? perm.indices().coeff(i) : i)
970 Block<const MatrixTypeCleaned,Side==OnTheLeft ? 1 : MatrixTypeCleaned::RowsAtCompileTime,Side==OnTheRight ? 1 : MatrixTypeCleaned::ColsAtCompileTime>
971 (mat, ((Side==
OnTheRight) ^ Transposed) ? perm.indices().coeff(i) : i);
977 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
978 struct generic_product_impl<Lhs, Rhs, PermutationShape, MatrixShape, ProductTag>
980 template<
typename Dest>
981 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
983 permutation_matrix_product<Rhs, OnTheLeft, false, MatrixShape>::run(dst, lhs, rhs);
987 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
988 struct generic_product_impl<Lhs, Rhs, MatrixShape, PermutationShape, ProductTag>
990 template<
typename Dest>
991 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
993 permutation_matrix_product<Lhs, OnTheRight, false, MatrixShape>::run(dst, rhs, lhs);
997 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
998 struct generic_product_impl<Inverse<Lhs>, Rhs, PermutationShape, MatrixShape, ProductTag>
1000 template<
typename Dest>
1001 static void evalTo(Dest& dst,
const Inverse<Lhs>& lhs,
const Rhs& rhs)
1003 permutation_matrix_product<Rhs, OnTheLeft, true, MatrixShape>::run(dst, lhs.nestedExpression(), rhs);
1007 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1008 struct generic_product_impl<Lhs, Inverse<Rhs>, MatrixShape, PermutationShape, ProductTag>
1010 template<
typename Dest>
1011 static void evalTo(Dest& dst,
const Lhs& lhs,
const Inverse<Rhs>& rhs)
1013 permutation_matrix_product<Lhs, OnTheRight, true, MatrixShape>::run(dst, rhs.nestedExpression(), lhs);
1028 template<
typename ExpressionType,
int S
ide,
bool Transposed,
typename ExpressionShape>
1029 struct transposition_matrix_product
1031 typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
1032 typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
1034 template<
typename Dest,
typename TranspositionType>
1035 static inline void run(Dest& dst,
const TranspositionType& tr,
const ExpressionType& xpr)
1037 MatrixType mat(xpr);
1038 typedef typename TranspositionType::StorageIndex StorageIndex;
1039 const Index size = tr.size();
1042 if(!is_same_dense(dst,mat))
1045 for(
Index k=(Transposed?size-1:0) ; Transposed?k>=0:k<size ; Transposed?--k:++k)
1046 if(
Index(j=tr.coeff(k))!=k)
1048 if(Side==
OnTheLeft) dst.row(k).swap(dst.row(j));
1049 else if(Side==
OnTheRight) dst.col(k).swap(dst.col(j));
1054 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1055 struct generic_product_impl<Lhs, Rhs, TranspositionsShape, MatrixShape, ProductTag>
1057 template<
typename Dest>
1058 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
1060 transposition_matrix_product<Rhs, OnTheLeft, false, MatrixShape>::run(dst, lhs, rhs);
1064 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1065 struct generic_product_impl<Lhs, Rhs, MatrixShape, TranspositionsShape, ProductTag>
1067 template<
typename Dest>
1068 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
1070 transposition_matrix_product<Lhs, OnTheRight, false, MatrixShape>::run(dst, rhs, lhs);
1075 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1076 struct generic_product_impl<Transpose<Lhs>, Rhs, TranspositionsShape, MatrixShape, ProductTag>
1078 template<
typename Dest>
1079 static void evalTo(Dest& dst,
const Transpose<Lhs>& lhs,
const Rhs& rhs)
1081 transposition_matrix_product<Rhs, OnTheLeft, true, MatrixShape>::run(dst, lhs.nestedExpression(), rhs);
1085 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1086 struct generic_product_impl<Lhs, Transpose<Rhs>, MatrixShape, TranspositionsShape, ProductTag>
1088 template<
typename Dest>
1089 static void evalTo(Dest& dst,
const Lhs& lhs,
const Transpose<Rhs>& rhs)
1091 transposition_matrix_product<Lhs, OnTheRight, true, MatrixShape>::run(dst, rhs.nestedExpression(), lhs);
1099 #endif // EIGEN_PRODUCT_EVALUATORS_H Definition: Constants.h:320
const int HugeCost
Definition: Constants.h:39
Definition: Constants.h:335
Definition: Constants.h:230
Namespace containing all symbols from the Eigen library.
Definition: Core:287
const unsigned int RowMajorBit
Definition: Constants.h:61
const unsigned int PacketAccessBit
Definition: Constants.h:89
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition: Meta.h:33
Definition: Constants.h:333
Definition: Eigen_Colamd.h:50
Definition: Constants.h:322
const int Dynamic
Definition: Constants.h:21
const unsigned int EvalBeforeNestingBit
Definition: Constants.h:65
const unsigned int ActualPacketAccessBit
Definition: Constants.h:100
const unsigned int LinearAccessBit
Definition: Constants.h:125