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 Index dstRows = src.rows();
162 Index dstCols = src.cols();
163 if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
164 dst.resize(dstRows, dstCols);
166 generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
171 template<
typename DstXprType,
typename Lhs,
typename Rhs,
int Options,
typename Scalar>
172 struct Assignment<DstXprType, Product<Lhs,Rhs,Options>,
internal::sub_assign_op<Scalar,Scalar>, Dense2Dense,
173 typename enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>::type>
175 typedef Product<Lhs,Rhs,Options> SrcXprType;
176 static EIGEN_STRONG_INLINE
177 void run(DstXprType &dst,
const SrcXprType &src,
const internal::sub_assign_op<Scalar,Scalar> &)
179 Index dstRows = src.rows();
180 Index dstCols = src.cols();
181 if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
182 dst.resize(dstRows, dstCols);
184 generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
192 template<
typename DstXprType,
typename Lhs,
typename Rhs,
typename AssignFunc,
typename Scalar,
typename ScalarBis,
typename Plain>
193 struct Assignment<DstXprType, CwiseBinaryOp<
internal::scalar_product_op<ScalarBis,Scalar>, const CwiseNullaryOp<internal::scalar_constant_op<ScalarBis>,Plain>,
194 const Product<Lhs,Rhs,DefaultProduct> >, AssignFunc, Dense2Dense>
196 typedef CwiseBinaryOp<internal::scalar_product_op<ScalarBis,Scalar>,
197 const CwiseNullaryOp<internal::scalar_constant_op<ScalarBis>,Plain>,
198 const Product<Lhs,Rhs,DefaultProduct> > SrcXprType;
199 static EIGEN_STRONG_INLINE
200 void run(DstXprType &dst,
const SrcXprType &src,
const AssignFunc& func)
202 call_assignment_no_alias(dst, (src.lhs().functor().m_other * src.rhs().lhs())*src.rhs().rhs(), func);
210 template<
typename OtherXpr,
typename Lhs,
typename Rhs>
211 struct evaluator_assume_aliasing<CwiseBinaryOp<
internal::scalar_sum_op<typename OtherXpr::Scalar,typename Product<Lhs,Rhs,DefaultProduct>::Scalar>, const OtherXpr,
212 const Product<Lhs,Rhs,DefaultProduct> >, DenseShape > {
213 static const bool value =
true;
216 template<
typename DstXprType,
typename OtherXpr,
typename ProductType,
typename Func1,
typename Func2>
217 struct assignment_from_xpr_op_product
219 template<
typename SrcXprType,
typename InitialFunc>
220 static EIGEN_STRONG_INLINE
221 void run(DstXprType &dst,
const SrcXprType &src,
const InitialFunc& )
223 call_assignment_no_alias(dst, src.lhs(), Func1());
224 call_assignment_no_alias(dst, src.rhs(), Func2());
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> > \ 235 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op, scalar_sum_op,add_assign_op);
236 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_sum_op,add_assign_op);
237 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_sum_op,sub_assign_op);
239 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op, scalar_difference_op,sub_assign_op);
240 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_difference_op,sub_assign_op);
241 EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_difference_op,add_assign_op);
245 template<
typename Lhs,
typename Rhs>
246 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,InnerProduct>
248 template<
typename Dst>
249 static inline void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
251 dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
254 template<
typename Dst>
255 static inline void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
257 dst.coeffRef(0,0) += (lhs.transpose().cwiseProduct(rhs)).sum();
260 template<
typename Dst>
261 static void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
262 { dst.coeffRef(0,0) -= (lhs.transpose().cwiseProduct(rhs)).sum(); }
271 template<
typename Dst,
typename Lhs,
typename Rhs,
typename Func>
272 void outer_product_selector_run(Dst& dst,
const Lhs &lhs,
const Rhs &rhs,
const Func& func,
const false_type&)
274 evaluator<Rhs> rhsEval(rhs);
275 typename nested_eval<Lhs,Rhs::SizeAtCompileTime>::type actual_lhs(lhs);
278 const Index cols = dst.cols();
279 for (
Index j=0; j<cols; ++j)
280 func(dst.col(j), rhsEval.coeff(
Index(0),j) * actual_lhs);
284 template<
typename Dst,
typename Lhs,
typename Rhs,
typename Func>
285 void outer_product_selector_run(Dst& dst,
const Lhs &lhs,
const Rhs &rhs,
const Func& func,
const true_type&)
287 evaluator<Lhs> lhsEval(lhs);
288 typename nested_eval<Rhs,Lhs::SizeAtCompileTime>::type actual_rhs(rhs);
291 const Index rows = dst.rows();
292 for (
Index i=0; i<rows; ++i)
293 func(dst.row(i), lhsEval.coeff(i,
Index(0)) * actual_rhs);
296 template<
typename Lhs,
typename Rhs>
297 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,OuterProduct>
299 template<
typename T>
struct is_row_major : internal::conditional<(int(T::Flags)&RowMajorBit), internal::true_type, internal::false_type>::type {};
300 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
303 struct set {
template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() = src; } };
304 struct add {
template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() += src; } };
305 struct sub {
template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const { dst.const_cast_derived() -= src; } };
308 explicit adds(
const Scalar& s) : m_scale(s) {}
309 template<
typename Dst,
typename Src>
void operator()(
const Dst& dst,
const Src& src)
const {
310 dst.const_cast_derived() += m_scale * src;
314 template<
typename Dst>
315 static inline void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
317 internal::outer_product_selector_run(dst, lhs, rhs,
set(), is_row_major<Dst>());
320 template<
typename Dst>
321 static inline void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
323 internal::outer_product_selector_run(dst, lhs, rhs, add(), is_row_major<Dst>());
326 template<
typename Dst>
327 static inline void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
329 internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
332 template<
typename Dst>
333 static inline void scaleAndAddTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
335 internal::outer_product_selector_run(dst, lhs, rhs, adds(alpha), is_row_major<Dst>());
342 template<
typename Lhs,
typename Rhs,
typename Derived>
343 struct generic_product_impl_base
345 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
347 template<
typename Dst>
348 static EIGEN_STRONG_INLINE
void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
349 { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
351 template<
typename Dst>
352 static EIGEN_STRONG_INLINE
void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
353 { scaleAndAddTo(dst,lhs, rhs, Scalar(1)); }
355 template<
typename Dst>
356 static EIGEN_STRONG_INLINE
void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
357 { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
359 template<
typename Dst>
360 static EIGEN_STRONG_INLINE
void scaleAndAddTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
361 { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
365 template<
typename Lhs,
typename Rhs>
366 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct>
367 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct> >
369 typedef typename nested_eval<Lhs,1>::type LhsNested;
370 typedef typename nested_eval<Rhs,1>::type RhsNested;
371 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
373 typedef typename internal::remove_all<typename internal::conditional<int(Side)==OnTheRight,LhsNested,RhsNested>::type>::type MatrixType;
375 template<
typename Dest>
376 static EIGEN_STRONG_INLINE
void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
378 LhsNested actual_lhs(lhs);
379 RhsNested actual_rhs(rhs);
381 internal::gemv_dense_selector<Side,
383 bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
384 >::run(actual_lhs, actual_rhs, dst, alpha);
388 template<
typename Lhs,
typename Rhs>
389 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode>
391 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
393 template<
typename Dst>
394 static EIGEN_STRONG_INLINE
void evalTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
398 call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::assign_op<typename Dst::Scalar,Scalar>());
401 template<
typename Dst>
402 static EIGEN_STRONG_INLINE
void addTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
405 call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::add_assign_op<typename Dst::Scalar,Scalar>());
408 template<
typename Dst>
409 static EIGEN_STRONG_INLINE
void subTo(Dst& dst,
const Lhs& lhs,
const Rhs& rhs)
412 call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::sub_assign_op<typename Dst::Scalar,Scalar>());
421 template<
typename Lhs,
typename Rhs>
422 struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,LazyCoeffBasedProductMode>
423 : generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode> {};
431 template<
int Traversal,
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename RetScalar>
432 struct etor_product_coeff_impl;
434 template<
int StorageOrder,
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
435 struct etor_product_packet_impl;
437 template<
typename Lhs,
typename Rhs,
int ProductTag>
438 struct product_evaluator<Product<Lhs, Rhs, LazyProduct>, ProductTag, DenseShape, DenseShape>
439 : evaluator_base<Product<Lhs, Rhs, LazyProduct> >
441 typedef Product<Lhs, Rhs, LazyProduct> XprType;
442 typedef typename XprType::Scalar Scalar;
443 typedef typename XprType::CoeffReturnType CoeffReturnType;
445 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
446 explicit product_evaluator(
const XprType& xpr)
452 m_innerDim(xpr.lhs().cols())
454 EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
455 EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::AddCost);
456 EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
458 std::cerr <<
"LhsOuterStrideBytes= " << LhsOuterStrideBytes <<
"\n";
459 std::cerr <<
"RhsOuterStrideBytes= " << RhsOuterStrideBytes <<
"\n";
460 std::cerr <<
"LhsAlignment= " << LhsAlignment <<
"\n";
461 std::cerr <<
"RhsAlignment= " << RhsAlignment <<
"\n";
462 std::cerr <<
"CanVectorizeLhs= " << CanVectorizeLhs <<
"\n";
463 std::cerr <<
"CanVectorizeRhs= " << CanVectorizeRhs <<
"\n";
464 std::cerr <<
"CanVectorizeInner= " << CanVectorizeInner <<
"\n";
465 std::cerr <<
"EvalToRowMajor= " << EvalToRowMajor <<
"\n";
466 std::cerr <<
"Alignment= " << Alignment <<
"\n";
467 std::cerr <<
"Flags= " << Flags <<
"\n";
473 typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
474 typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
476 typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned;
477 typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned;
479 typedef evaluator<LhsNestedCleaned> LhsEtorType;
480 typedef evaluator<RhsNestedCleaned> RhsEtorType;
483 RowsAtCompileTime = LhsNestedCleaned::RowsAtCompileTime,
484 ColsAtCompileTime = RhsNestedCleaned::ColsAtCompileTime,
485 InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsNestedCleaned::ColsAtCompileTime, RhsNestedCleaned::RowsAtCompileTime),
486 MaxRowsAtCompileTime = LhsNestedCleaned::MaxRowsAtCompileTime,
487 MaxColsAtCompileTime = RhsNestedCleaned::MaxColsAtCompileTime
490 typedef typename find_best_packet<Scalar,RowsAtCompileTime>::type LhsVecPacketType;
491 typedef typename find_best_packet<Scalar,ColsAtCompileTime>::type RhsVecPacketType;
495 LhsCoeffReadCost = LhsEtorType::CoeffReadCost,
496 RhsCoeffReadCost = RhsEtorType::CoeffReadCost,
497 CoeffReadCost = InnerSize==0 ? NumTraits<Scalar>::ReadCost
499 : InnerSize * (NumTraits<Scalar>::MulCost + LhsCoeffReadCost + RhsCoeffReadCost)
500 + (InnerSize - 1) * NumTraits<Scalar>::AddCost,
502 Unroll = CoeffReadCost <= EIGEN_UNROLLING_LIMIT,
504 LhsFlags = LhsEtorType::Flags,
505 RhsFlags = RhsEtorType::Flags,
510 LhsVecPacketSize = unpacket_traits<LhsVecPacketType>::size,
511 RhsVecPacketSize = unpacket_traits<RhsVecPacketType>::size,
514 LhsAlignment = EIGEN_PLAIN_ENUM_MIN(LhsEtorType::Alignment,LhsVecPacketSize*
int(
sizeof(
typename LhsNestedCleaned::Scalar))),
515 RhsAlignment = EIGEN_PLAIN_ENUM_MIN(RhsEtorType::Alignment,RhsVecPacketSize*
int(
sizeof(
typename RhsNestedCleaned::Scalar))),
517 SameType = is_same<typename LhsNestedCleaned::Scalar,typename RhsNestedCleaned::Scalar>::value,
519 CanVectorizeRhs = bool(RhsRowMajor) && (RhsFlags &
PacketAccessBit) && (ColsAtCompileTime!=1),
520 CanVectorizeLhs = (!LhsRowMajor) && (LhsFlags &
PacketAccessBit) && (RowsAtCompileTime!=1),
522 EvalToRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
523 : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
524 : (
bool(RhsRowMajor) && !CanVectorizeLhs),
526 Flags = ((
unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit)
527 | (EvalToRowMajor ? RowMajorBit : 0)
529 | (SameType && (CanVectorizeLhs || CanVectorizeRhs) ? PacketAccessBit : 0)
532 LhsOuterStrideBytes = int(LhsNestedCleaned::OuterStrideAtCompileTime) * int(
sizeof(
typename LhsNestedCleaned::Scalar)),
533 RhsOuterStrideBytes = int(RhsNestedCleaned::OuterStrideAtCompileTime) * int(
sizeof(
typename RhsNestedCleaned::Scalar)),
535 Alignment = bool(CanVectorizeLhs) ? (LhsOuterStrideBytes<=0 || (int(LhsOuterStrideBytes) % EIGEN_PLAIN_ENUM_MAX(1,LhsAlignment))!=0 ? 0 : LhsAlignment)
536 : bool(CanVectorizeRhs) ? (RhsOuterStrideBytes<=0 || (int(RhsOuterStrideBytes) % EIGEN_PLAIN_ENUM_MAX(1,RhsAlignment))!=0 ? 0 : RhsAlignment)
544 CanVectorizeInner = SameType
548 && (InnerSize % packet_traits<Scalar>::size == 0)
551 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const CoeffReturnType coeff(
Index row,
Index col)
const 553 return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
560 EIGEN_DEVICE_FUNC
const CoeffReturnType coeff(
Index index)
const 562 const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
563 const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
564 return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
567 template<
int LoadMode,
typename PacketType>
568 const PacketType packet(
Index row,
Index col)
const 571 typedef etor_product_packet_impl<bool(
int(Flags)&RowMajorBit) ?
RowMajor :
ColMajor,
572 Unroll ? int(InnerSize) :
Dynamic,
573 LhsEtorType, RhsEtorType, PacketType, LoadMode> PacketImpl;
574 PacketImpl::run(row, col, m_lhsImpl, m_rhsImpl, m_innerDim, res);
578 template<
int LoadMode,
typename PacketType>
579 const PacketType packet(
Index index)
const 581 const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
582 const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
583 return packet<LoadMode,PacketType>(row,col);
587 typename internal::add_const_on_value_type<LhsNested>::type m_lhs;
588 typename internal::add_const_on_value_type<RhsNested>::type m_rhs;
590 LhsEtorType m_lhsImpl;
591 RhsEtorType m_rhsImpl;
597 template<
typename Lhs,
typename Rhs>
598 struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, LazyCoeffBasedProductMode, DenseShape, DenseShape>
599 : product_evaluator<Product<Lhs, Rhs, LazyProduct>, CoeffBasedProductMode, DenseShape, DenseShape>
601 typedef Product<Lhs, Rhs, DefaultProduct> XprType;
602 typedef Product<Lhs, Rhs, LazyProduct> BaseProduct;
603 typedef product_evaluator<BaseProduct, CoeffBasedProductMode, DenseShape, DenseShape> Base;
607 EIGEN_DEVICE_FUNC
explicit product_evaluator(
const XprType& xpr)
608 : Base(BaseProduct(xpr.lhs(),xpr.rhs()))
616 template<
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
617 struct etor_product_packet_impl<
RowMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
619 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet &res)
621 etor_product_packet_impl<RowMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, innerDim, res);
622 res = pmadd(pset1<Packet>(lhs.coeff(row,
Index(UnrollingIndex-1))), rhs.template packet<LoadMode,Packet>(
Index(UnrollingIndex-1), col), res);
626 template<
int UnrollingIndex,
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
627 struct etor_product_packet_impl<
ColMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
629 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet &res)
631 etor_product_packet_impl<ColMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, innerDim, res);
632 res = pmadd(lhs.template packet<LoadMode,Packet>(row,
Index(UnrollingIndex-1)), pset1<Packet>(rhs.coeff(
Index(UnrollingIndex-1), col)), res);
636 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
637 struct etor_product_packet_impl<
RowMajor, 1, Lhs, Rhs, Packet, LoadMode>
639 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index , Packet &res)
641 res = pmul(pset1<Packet>(lhs.coeff(row,
Index(0))),rhs.template packet<LoadMode,Packet>(
Index(0), col));
645 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
646 struct etor_product_packet_impl<
ColMajor, 1, Lhs, Rhs, Packet, LoadMode>
648 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index , Packet &res)
650 res = pmul(lhs.template packet<LoadMode,Packet>(row,
Index(0)), pset1<Packet>(rhs.coeff(
Index(0), col)));
654 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
655 struct etor_product_packet_impl<
RowMajor, 0, Lhs, Rhs, Packet, LoadMode>
657 static EIGEN_STRONG_INLINE
void run(
Index ,
Index ,
const Lhs& ,
const Rhs& ,
Index , Packet &res)
659 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
663 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
664 struct etor_product_packet_impl<
ColMajor, 0, Lhs, Rhs, Packet, LoadMode>
666 static EIGEN_STRONG_INLINE
void run(
Index ,
Index ,
const Lhs& ,
const Rhs& ,
Index , Packet &res)
668 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
672 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
673 struct etor_product_packet_impl<
RowMajor,
Dynamic, Lhs, Rhs, Packet, LoadMode>
675 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet& res)
677 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
678 for(
Index i = 0; i < innerDim; ++i)
679 res = pmadd(pset1<Packet>(lhs.coeff(row, i)), rhs.template packet<LoadMode,Packet>(i, col), res);
683 template<
typename Lhs,
typename Rhs,
typename Packet,
int LoadMode>
684 struct etor_product_packet_impl<
ColMajor,
Dynamic, Lhs, Rhs, Packet, LoadMode>
686 static EIGEN_STRONG_INLINE
void run(
Index row,
Index col,
const Lhs& lhs,
const Rhs& rhs,
Index innerDim, Packet& res)
688 res = pset1<Packet>(
typename unpacket_traits<Packet>::type(0));
689 for(
Index i = 0; i < innerDim; ++i)
690 res = pmadd(lhs.template packet<LoadMode,Packet>(row, i), pset1<Packet>(rhs.coeff(i, col)), res);
698 template<
int Mode,
bool LhsIsTriangular,
699 typename Lhs,
bool LhsIsVector,
700 typename Rhs,
bool RhsIsVector>
701 struct triangular_product_impl;
703 template<
typename Lhs,
typename Rhs,
int ProductTag>
704 struct generic_product_impl<Lhs,Rhs,TriangularShape,DenseShape,ProductTag>
705 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,TriangularShape,DenseShape,ProductTag> >
707 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
709 template<
typename Dest>
710 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
712 triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
713 ::run(dst, lhs.nestedExpression(), rhs, alpha);
717 template<
typename Lhs,
typename Rhs,
int ProductTag>
718 struct generic_product_impl<Lhs,Rhs,DenseShape,TriangularShape,ProductTag>
719 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,TriangularShape,ProductTag> >
721 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
723 template<
typename Dest>
724 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
726 triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
734 template <
typename Lhs,
int LhsMode,
bool LhsIsVector,
735 typename Rhs,
int RhsMode,
bool RhsIsVector>
736 struct selfadjoint_product_impl;
738 template<
typename Lhs,
typename Rhs,
int ProductTag>
739 struct generic_product_impl<Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag>
740 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag> >
742 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
744 template<
typename Dest>
745 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
747 selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
751 template<
typename Lhs,
typename Rhs,
int ProductTag>
752 struct generic_product_impl<Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag>
753 : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag> >
755 typedef typename Product<Lhs,Rhs>::Scalar Scalar;
757 template<
typename Dest>
758 static void scaleAndAddTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs,
const Scalar& alpha)
760 selfadjoint_product_impl<Lhs,0,Lhs::IsVectorAtCompileTime,typename Rhs::MatrixType,Rhs::Mode,false>::run(dst, lhs, rhs.nestedExpression(), alpha);
769 template<
typename MatrixType,
typename DiagonalType,
typename Derived,
int ProductOrder>
770 struct diagonal_product_evaluator_base
771 : evaluator_base<Derived>
773 typedef typename ScalarBinaryOpTraits<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ReturnType Scalar;
776 CoeffReadCost = NumTraits<Scalar>::MulCost + evaluator<MatrixType>::CoeffReadCost + evaluator<DiagonalType>::CoeffReadCost,
778 MatrixFlags = evaluator<MatrixType>::Flags,
779 DiagFlags = evaluator<DiagonalType>::Flags,
781 _ScalarAccessOnDiag = !((int(_StorageOrder) ==
ColMajor && int(ProductOrder) ==
OnTheLeft)
783 _SameTypes = is_same<typename MatrixType::Scalar, typename DiagonalType::Scalar>::value,
786 _Vectorizable = bool(
int(MatrixFlags)&PacketAccessBit) && _SameTypes && (_ScalarAccessOnDiag || (bool(
int(DiagFlags)&PacketAccessBit))),
787 _LinearAccessMask = (MatrixType::RowsAtCompileTime==1 || MatrixType::ColsAtCompileTime==1) ? LinearAccessBit : 0,
788 Flags = ((HereditaryBits|_LinearAccessMask) & (
unsigned int)(MatrixFlags)) | (_Vectorizable ? PacketAccessBit : 0),
789 Alignment = evaluator<MatrixType>::Alignment
792 diagonal_product_evaluator_base(
const MatrixType &mat,
const DiagonalType &diag)
793 : m_diagImpl(diag), m_matImpl(mat)
795 EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
796 EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
799 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const Scalar coeff(
Index idx)
const 801 return m_diagImpl.coeff(idx) * m_matImpl.coeff(idx);
805 template<
int LoadMode,
typename PacketType>
806 EIGEN_STRONG_INLINE PacketType packet_impl(
Index row,
Index col,
Index id, internal::true_type)
const 808 return internal::pmul(m_matImpl.template packet<LoadMode,PacketType>(row, col),
809 internal::pset1<PacketType>(m_diagImpl.coeff(
id)));
812 template<
int LoadMode,
typename PacketType>
813 EIGEN_STRONG_INLINE PacketType packet_impl(
Index row,
Index col,
Index id, internal::false_type)
const 816 InnerSize = (MatrixType::Flags &
RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,
817 DiagonalPacketLoadMode = EIGEN_PLAIN_ENUM_MIN(LoadMode,((InnerSize%16) == 0) ? int(
Aligned16) : int(evaluator<DiagonalType>::Alignment))
819 return internal::pmul(m_matImpl.template packet<LoadMode,PacketType>(row, col),
820 m_diagImpl.template packet<DiagonalPacketLoadMode,PacketType>(
id));
823 evaluator<DiagonalType> m_diagImpl;
824 evaluator<MatrixType> m_matImpl;
828 template<
typename Lhs,
typename Rhs,
int ProductKind,
int ProductTag>
829 struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DiagonalShape, DenseShape>
830 : diagonal_product_evaluator_base<Rhs, typename Lhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>, OnTheLeft>
832 typedef diagonal_product_evaluator_base<Rhs, typename Lhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>,
OnTheLeft> Base;
833 using Base::m_diagImpl;
834 using Base::m_matImpl;
836 typedef typename Base::Scalar Scalar;
838 typedef Product<Lhs, Rhs, ProductKind> XprType;
839 typedef typename XprType::PlainObject PlainObject;
845 EIGEN_DEVICE_FUNC
explicit product_evaluator(
const XprType& xpr)
846 : Base(xpr.rhs(), xpr.lhs().diagonal())
850 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const Scalar coeff(
Index row,
Index col)
const 852 return m_diagImpl.coeff(row) * m_matImpl.coeff(row, col);
856 template<
int LoadMode,
typename PacketType>
857 EIGEN_STRONG_INLINE PacketType packet(
Index row,
Index col)
const 861 return this->
template packet_impl<LoadMode,PacketType>(row,col, row,
862 typename internal::conditional<int(StorageOrder)==RowMajor, internal::true_type, internal::false_type>::type());
865 template<
int LoadMode,
typename PacketType>
866 EIGEN_STRONG_INLINE PacketType packet(
Index idx)
const 868 return packet<LoadMode,PacketType>(int(StorageOrder)==
ColMajor?idx:0,int(StorageOrder)==
ColMajor?0:idx);
874 template<
typename Lhs,
typename Rhs,
int ProductKind,
int ProductTag>
875 struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DenseShape, DiagonalShape>
876 : diagonal_product_evaluator_base<Lhs, typename Rhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>,
OnTheRight>
878 typedef diagonal_product_evaluator_base<Lhs, typename Rhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>,
OnTheRight> Base;
879 using Base::m_diagImpl;
880 using Base::m_matImpl;
882 typedef typename Base::Scalar Scalar;
884 typedef Product<Lhs, Rhs, ProductKind> XprType;
885 typedef typename XprType::PlainObject PlainObject;
887 enum { StorageOrder = int(Lhs::Flags) & RowMajorBit ?
RowMajor :
ColMajor };
889 EIGEN_DEVICE_FUNC
explicit product_evaluator(
const XprType& xpr)
890 : Base(xpr.lhs(), xpr.rhs().diagonal())
894 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const Scalar coeff(
Index row,
Index col)
const 896 return m_matImpl.coeff(row, col) * m_diagImpl.coeff(col);
900 template<
int LoadMode,
typename PacketType>
901 EIGEN_STRONG_INLINE PacketType packet(
Index row,
Index col)
const 903 return this->
template packet_impl<LoadMode,PacketType>(row,col, col,
904 typename internal::conditional<int(StorageOrder)==ColMajor, internal::true_type, internal::false_type>::type());
907 template<
int LoadMode,
typename PacketType>
908 EIGEN_STRONG_INLINE PacketType packet(
Index idx)
const 910 return packet<LoadMode,PacketType>(int(StorageOrder)==
ColMajor?idx:0,int(StorageOrder)==
ColMajor?0:idx);
924 template<
typename ExpressionType,
int S
ide,
bool Transposed,
typename ExpressionShape>
925 struct permutation_matrix_product;
927 template<
typename ExpressionType,
int S
ide,
bool Transposed>
928 struct permutation_matrix_product<ExpressionType, Side, Transposed, DenseShape>
930 typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
931 typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
933 template<
typename Dest,
typename PermutationType>
934 static inline void run(Dest& dst,
const PermutationType& perm,
const ExpressionType& xpr)
941 if(is_same_dense(dst, mat))
944 Matrix<bool,PermutationType::RowsAtCompileTime,1,0,PermutationType::MaxRowsAtCompileTime> mask(perm.size());
947 while(r < perm.size())
950 while(r<perm.size() && mask[r]) r++;
956 mask.coeffRef(k0) =
true;
957 for(
Index k=perm.indices().coeff(k0); k!=k0; k=perm.indices().coeff(k))
959 Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>(dst, k)
960 .swap(Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
961 (dst,((Side==
OnTheLeft) ^ Transposed) ? k0 : kPrev));
963 mask.coeffRef(k) =
true;
970 for(
Index i = 0; i < n; ++i)
972 Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
973 (dst, ((Side==
OnTheLeft) ^ Transposed) ? perm.indices().coeff(i) : i)
977 Block<const MatrixTypeCleaned,Side==OnTheLeft ? 1 : MatrixTypeCleaned::RowsAtCompileTime,Side==OnTheRight ? 1 : MatrixTypeCleaned::ColsAtCompileTime>
978 (mat, ((Side==
OnTheRight) ^ Transposed) ? perm.indices().coeff(i) : i);
984 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
985 struct generic_product_impl<Lhs, Rhs, PermutationShape, MatrixShape, ProductTag>
987 template<
typename Dest>
988 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
990 permutation_matrix_product<Rhs, OnTheLeft, false, MatrixShape>::run(dst, lhs, rhs);
994 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
995 struct generic_product_impl<Lhs, Rhs, MatrixShape, PermutationShape, ProductTag>
997 template<
typename Dest>
998 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
1000 permutation_matrix_product<Lhs, OnTheRight, false, MatrixShape>::run(dst, rhs, lhs);
1004 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1005 struct generic_product_impl<Inverse<Lhs>, Rhs, PermutationShape, MatrixShape, ProductTag>
1007 template<
typename Dest>
1008 static void evalTo(Dest& dst,
const Inverse<Lhs>& lhs,
const Rhs& rhs)
1010 permutation_matrix_product<Rhs, OnTheLeft, true, MatrixShape>::run(dst, lhs.nestedExpression(), rhs);
1014 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1015 struct generic_product_impl<Lhs, Inverse<Rhs>, MatrixShape, PermutationShape, ProductTag>
1017 template<
typename Dest>
1018 static void evalTo(Dest& dst,
const Lhs& lhs,
const Inverse<Rhs>& rhs)
1020 permutation_matrix_product<Lhs, OnTheRight, true, MatrixShape>::run(dst, rhs.nestedExpression(), lhs);
1035 template<
typename ExpressionType,
int S
ide,
bool Transposed,
typename ExpressionShape>
1036 struct transposition_matrix_product
1038 typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
1039 typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
1041 template<
typename Dest,
typename TranspositionType>
1042 static inline void run(Dest& dst,
const TranspositionType& tr,
const ExpressionType& xpr)
1044 MatrixType mat(xpr);
1045 typedef typename TranspositionType::StorageIndex StorageIndex;
1046 const Index size = tr.size();
1049 if(!is_same_dense(dst,mat))
1052 for(
Index k=(Transposed?size-1:0) ; Transposed?k>=0:k<size ; Transposed?--k:++k)
1053 if(
Index(j=tr.coeff(k))!=k)
1055 if(Side==
OnTheLeft) dst.row(k).swap(dst.row(j));
1056 else if(Side==
OnTheRight) dst.col(k).swap(dst.col(j));
1061 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1062 struct generic_product_impl<Lhs, Rhs, TranspositionsShape, MatrixShape, ProductTag>
1064 template<
typename Dest>
1065 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
1067 transposition_matrix_product<Rhs, OnTheLeft, false, MatrixShape>::run(dst, lhs, rhs);
1071 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1072 struct generic_product_impl<Lhs, Rhs, MatrixShape, TranspositionsShape, ProductTag>
1074 template<
typename Dest>
1075 static void evalTo(Dest& dst,
const Lhs& lhs,
const Rhs& rhs)
1077 transposition_matrix_product<Lhs, OnTheRight, false, MatrixShape>::run(dst, rhs, lhs);
1082 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1083 struct generic_product_impl<Transpose<Lhs>, Rhs, TranspositionsShape, MatrixShape, ProductTag>
1085 template<
typename Dest>
1086 static void evalTo(Dest& dst,
const Transpose<Lhs>& lhs,
const Rhs& rhs)
1088 transposition_matrix_product<Rhs, OnTheLeft, true, MatrixShape>::run(dst, lhs.nestedExpression(), rhs);
1092 template<
typename Lhs,
typename Rhs,
int ProductTag,
typename MatrixShape>
1093 struct generic_product_impl<Lhs, Transpose<Rhs>, MatrixShape, TranspositionsShape, ProductTag>
1095 template<
typename Dest>
1096 static void evalTo(Dest& dst,
const Lhs& lhs,
const Transpose<Rhs>& rhs)
1098 transposition_matrix_product<Lhs, OnTheRight, true, MatrixShape>::run(dst, rhs.nestedExpression(), lhs);
1106 #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