source: pacpussensors/trunk/Vislab/lib3dv/eigen/unsupported/Eigen/src/Skyline/SkylineProduct.h@ 136

Last change on this file since 136 was 136, checked in by ldecherf, 7 years ago

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1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2008-2009 Guillaume Saupin <guillaume.saupin@cea.fr>
5//
6// This Source Code Form is subject to the terms of the Mozilla
7// Public License v. 2.0. If a copy of the MPL was not distributed
8// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9
10#ifndef EIGEN_SKYLINEPRODUCT_H
11#define EIGEN_SKYLINEPRODUCT_H
12
13namespace Eigen {
14
15template<typename Lhs, typename Rhs, int ProductMode>
16struct SkylineProductReturnType {
17 typedef const typename internal::nested<Lhs, Rhs::RowsAtCompileTime>::type LhsNested;
18 typedef const typename internal::nested<Rhs, Lhs::RowsAtCompileTime>::type RhsNested;
19
20 typedef SkylineProduct<LhsNested, RhsNested, ProductMode> Type;
21};
22
23template<typename LhsNested, typename RhsNested, int ProductMode>
24struct internal::traits<SkylineProduct<LhsNested, RhsNested, ProductMode> > {
25 // clean the nested types:
26 typedef typename internal::remove_all<LhsNested>::type _LhsNested;
27 typedef typename internal::remove_all<RhsNested>::type _RhsNested;
28 typedef typename _LhsNested::Scalar Scalar;
29
30 enum {
31 LhsCoeffReadCost = _LhsNested::CoeffReadCost,
32 RhsCoeffReadCost = _RhsNested::CoeffReadCost,
33 LhsFlags = _LhsNested::Flags,
34 RhsFlags = _RhsNested::Flags,
35
36 RowsAtCompileTime = _LhsNested::RowsAtCompileTime,
37 ColsAtCompileTime = _RhsNested::ColsAtCompileTime,
38 InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(_LhsNested::ColsAtCompileTime, _RhsNested::RowsAtCompileTime),
39
40 MaxRowsAtCompileTime = _LhsNested::MaxRowsAtCompileTime,
41 MaxColsAtCompileTime = _RhsNested::MaxColsAtCompileTime,
42
43 EvalToRowMajor = (RhsFlags & LhsFlags & RowMajorBit),
44 ResultIsSkyline = ProductMode == SkylineTimeSkylineProduct,
45
46 RemovedBits = ~((EvalToRowMajor ? 0 : RowMajorBit) | (ResultIsSkyline ? 0 : SkylineBit)),
47
48 Flags = (int(LhsFlags | RhsFlags) & HereditaryBits & RemovedBits)
49 | EvalBeforeAssigningBit
50 | EvalBeforeNestingBit,
51
52 CoeffReadCost = Dynamic
53 };
54
55 typedef typename internal::conditional<ResultIsSkyline,
56 SkylineMatrixBase<SkylineProduct<LhsNested, RhsNested, ProductMode> >,
57 MatrixBase<SkylineProduct<LhsNested, RhsNested, ProductMode> > >::type Base;
58};
59
60namespace internal {
61template<typename LhsNested, typename RhsNested, int ProductMode>
62class SkylineProduct : no_assignment_operator,
63public traits<SkylineProduct<LhsNested, RhsNested, ProductMode> >::Base {
64public:
65
66 EIGEN_GENERIC_PUBLIC_INTERFACE(SkylineProduct)
67
68private:
69
70 typedef typename traits<SkylineProduct>::_LhsNested _LhsNested;
71 typedef typename traits<SkylineProduct>::_RhsNested _RhsNested;
72
73public:
74
75 template<typename Lhs, typename Rhs>
76 EIGEN_STRONG_INLINE SkylineProduct(const Lhs& lhs, const Rhs& rhs)
77 : m_lhs(lhs), m_rhs(rhs) {
78 eigen_assert(lhs.cols() == rhs.rows());
79
80 enum {
81 ProductIsValid = _LhsNested::ColsAtCompileTime == Dynamic
82 || _RhsNested::RowsAtCompileTime == Dynamic
83 || int(_LhsNested::ColsAtCompileTime) == int(_RhsNested::RowsAtCompileTime),
84 AreVectors = _LhsNested::IsVectorAtCompileTime && _RhsNested::IsVectorAtCompileTime,
85 SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(_LhsNested, _RhsNested)
86 };
87 // note to the lost user:
88 // * for a dot product use: v1.dot(v2)
89 // * for a coeff-wise product use: v1.cwise()*v2
90 EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
91 INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
92 EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
93 INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
94 EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
95 }
96
97 EIGEN_STRONG_INLINE Index rows() const {
98 return m_lhs.rows();
99 }
100
101 EIGEN_STRONG_INLINE Index cols() const {
102 return m_rhs.cols();
103 }
104
105 EIGEN_STRONG_INLINE const _LhsNested& lhs() const {
106 return m_lhs;
107 }
108
109 EIGEN_STRONG_INLINE const _RhsNested& rhs() const {
110 return m_rhs;
111 }
112
113protected:
114 LhsNested m_lhs;
115 RhsNested m_rhs;
116};
117
118// dense = skyline * dense
119// Note that here we force no inlining and separate the setZero() because GCC messes up otherwise
120
121template<typename Lhs, typename Rhs, typename Dest>
122EIGEN_DONT_INLINE void skyline_row_major_time_dense_product(const Lhs& lhs, const Rhs& rhs, Dest& dst) {
123 typedef typename remove_all<Lhs>::type _Lhs;
124 typedef typename remove_all<Rhs>::type _Rhs;
125 typedef typename traits<Lhs>::Scalar Scalar;
126
127 enum {
128 LhsIsRowMajor = (_Lhs::Flags & RowMajorBit) == RowMajorBit,
129 LhsIsSelfAdjoint = (_Lhs::Flags & SelfAdjointBit) == SelfAdjointBit,
130 ProcessFirstHalf = LhsIsSelfAdjoint
131 && (((_Lhs::Flags & (UpperTriangularBit | LowerTriangularBit)) == 0)
132 || ((_Lhs::Flags & UpperTriangularBit) && !LhsIsRowMajor)
133 || ((_Lhs::Flags & LowerTriangularBit) && LhsIsRowMajor)),
134 ProcessSecondHalf = LhsIsSelfAdjoint && (!ProcessFirstHalf)
135 };
136
137 //Use matrix diagonal part <- Improvement : use inner iterator on dense matrix.
138 for (Index col = 0; col < rhs.cols(); col++) {
139 for (Index row = 0; row < lhs.rows(); row++) {
140 dst(row, col) = lhs.coeffDiag(row) * rhs(row, col);
141 }
142 }
143 //Use matrix lower triangular part
144 for (Index row = 0; row < lhs.rows(); row++) {
145 typename _Lhs::InnerLowerIterator lIt(lhs, row);
146 const Index stop = lIt.col() + lIt.size();
147 for (Index col = 0; col < rhs.cols(); col++) {
148
149 Index k = lIt.col();
150 Scalar tmp = 0;
151 while (k < stop) {
152 tmp +=
153 lIt.value() *
154 rhs(k++, col);
155 ++lIt;
156 }
157 dst(row, col) += tmp;
158 lIt += -lIt.size();
159 }
160
161 }
162
163 //Use matrix upper triangular part
164 for (Index lhscol = 0; lhscol < lhs.cols(); lhscol++) {
165 typename _Lhs::InnerUpperIterator uIt(lhs, lhscol);
166 const Index stop = uIt.size() + uIt.row();
167 for (Index rhscol = 0; rhscol < rhs.cols(); rhscol++) {
168
169
170 const Scalar rhsCoeff = rhs.coeff(lhscol, rhscol);
171 Index k = uIt.row();
172 while (k < stop) {
173 dst(k++, rhscol) +=
174 uIt.value() *
175 rhsCoeff;
176 ++uIt;
177 }
178 uIt += -uIt.size();
179 }
180 }
181
182}
183
184template<typename Lhs, typename Rhs, typename Dest>
185EIGEN_DONT_INLINE void skyline_col_major_time_dense_product(const Lhs& lhs, const Rhs& rhs, Dest& dst) {
186 typedef typename remove_all<Lhs>::type _Lhs;
187 typedef typename remove_all<Rhs>::type _Rhs;
188 typedef typename traits<Lhs>::Scalar Scalar;
189
190 enum {
191 LhsIsRowMajor = (_Lhs::Flags & RowMajorBit) == RowMajorBit,
192 LhsIsSelfAdjoint = (_Lhs::Flags & SelfAdjointBit) == SelfAdjointBit,
193 ProcessFirstHalf = LhsIsSelfAdjoint
194 && (((_Lhs::Flags & (UpperTriangularBit | LowerTriangularBit)) == 0)
195 || ((_Lhs::Flags & UpperTriangularBit) && !LhsIsRowMajor)
196 || ((_Lhs::Flags & LowerTriangularBit) && LhsIsRowMajor)),
197 ProcessSecondHalf = LhsIsSelfAdjoint && (!ProcessFirstHalf)
198 };
199
200 //Use matrix diagonal part <- Improvement : use inner iterator on dense matrix.
201 for (Index col = 0; col < rhs.cols(); col++) {
202 for (Index row = 0; row < lhs.rows(); row++) {
203 dst(row, col) = lhs.coeffDiag(row) * rhs(row, col);
204 }
205 }
206
207 //Use matrix upper triangular part
208 for (Index row = 0; row < lhs.rows(); row++) {
209 typename _Lhs::InnerUpperIterator uIt(lhs, row);
210 const Index stop = uIt.col() + uIt.size();
211 for (Index col = 0; col < rhs.cols(); col++) {
212
213 Index k = uIt.col();
214 Scalar tmp = 0;
215 while (k < stop) {
216 tmp +=
217 uIt.value() *
218 rhs(k++, col);
219 ++uIt;
220 }
221
222
223 dst(row, col) += tmp;
224 uIt += -uIt.size();
225 }
226 }
227
228 //Use matrix lower triangular part
229 for (Index lhscol = 0; lhscol < lhs.cols(); lhscol++) {
230 typename _Lhs::InnerLowerIterator lIt(lhs, lhscol);
231 const Index stop = lIt.size() + lIt.row();
232 for (Index rhscol = 0; rhscol < rhs.cols(); rhscol++) {
233
234 const Scalar rhsCoeff = rhs.coeff(lhscol, rhscol);
235 Index k = lIt.row();
236 while (k < stop) {
237 dst(k++, rhscol) +=
238 lIt.value() *
239 rhsCoeff;
240 ++lIt;
241 }
242 lIt += -lIt.size();
243 }
244 }
245
246}
247
248template<typename Lhs, typename Rhs, typename ResultType,
249 int LhsStorageOrder = traits<Lhs>::Flags&RowMajorBit>
250 struct skyline_product_selector;
251
252template<typename Lhs, typename Rhs, typename ResultType>
253struct skyline_product_selector<Lhs, Rhs, ResultType, RowMajor> {
254 typedef typename traits<typename remove_all<Lhs>::type>::Scalar Scalar;
255
256 static void run(const Lhs& lhs, const Rhs& rhs, ResultType & res) {
257 skyline_row_major_time_dense_product<Lhs, Rhs, ResultType > (lhs, rhs, res);
258 }
259};
260
261template<typename Lhs, typename Rhs, typename ResultType>
262struct skyline_product_selector<Lhs, Rhs, ResultType, ColMajor> {
263 typedef typename traits<typename remove_all<Lhs>::type>::Scalar Scalar;
264
265 static void run(const Lhs& lhs, const Rhs& rhs, ResultType & res) {
266 skyline_col_major_time_dense_product<Lhs, Rhs, ResultType > (lhs, rhs, res);
267 }
268};
269
270} // end namespace internal
271
272// template<typename Derived>
273// template<typename Lhs, typename Rhs >
274// Derived & MatrixBase<Derived>::lazyAssign(const SkylineProduct<Lhs, Rhs, SkylineTimeDenseProduct>& product) {
275// typedef typename internal::remove_all<Lhs>::type _Lhs;
276// internal::skyline_product_selector<typename internal::remove_all<Lhs>::type,
277// typename internal::remove_all<Rhs>::type,
278// Derived>::run(product.lhs(), product.rhs(), derived());
279//
280// return derived();
281// }
282
283// skyline * dense
284
285template<typename Derived>
286template<typename OtherDerived >
287EIGEN_STRONG_INLINE const typename SkylineProductReturnType<Derived, OtherDerived>::Type
288SkylineMatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const {
289
290 return typename SkylineProductReturnType<Derived, OtherDerived>::Type(derived(), other.derived());
291}
292
293} // end namespace Eigen
294
295#endif // EIGEN_SKYLINEPRODUCT_H
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