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-rw-r--r--Eigen/src/SparseCore/SparseProduct.h220
1 files changed, 65 insertions, 155 deletions
diff --git a/Eigen/src/SparseCore/SparseProduct.h b/Eigen/src/SparseCore/SparseProduct.h
index cf7663070..c62386ed1 100644
--- a/Eigen/src/SparseCore/SparseProduct.h
+++ b/Eigen/src/SparseCore/SparseProduct.h
@@ -1,7 +1,7 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
-// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
@@ -12,158 +12,6 @@
namespace Eigen {
-template<typename Lhs, typename Rhs>
-struct SparseSparseProductReturnType
-{
- typedef typename internal::traits<Lhs>::Scalar Scalar;
- typedef typename internal::traits<Lhs>::Index Index;
- enum {
- LhsRowMajor = internal::traits<Lhs>::Flags & RowMajorBit,
- RhsRowMajor = internal::traits<Rhs>::Flags & RowMajorBit,
- TransposeRhs = (!LhsRowMajor) && RhsRowMajor,
- TransposeLhs = LhsRowMajor && (!RhsRowMajor)
- };
-
- typedef typename internal::conditional<TransposeLhs,
- SparseMatrix<Scalar,0,Index>,
- typename internal::nested<Lhs,Rhs::RowsAtCompileTime>::type>::type LhsNested;
-
- typedef typename internal::conditional<TransposeRhs,
- SparseMatrix<Scalar,0,Index>,
- typename internal::nested<Rhs,Lhs::RowsAtCompileTime>::type>::type RhsNested;
-
- typedef SparseSparseProduct<LhsNested, RhsNested> Type;
-};
-
-namespace internal {
-template<typename LhsNested, typename RhsNested>
-struct traits<SparseSparseProduct<LhsNested, RhsNested> >
-{
- typedef MatrixXpr XprKind;
- // clean the nested types:
- typedef typename remove_all<LhsNested>::type _LhsNested;
- typedef typename remove_all<RhsNested>::type _RhsNested;
- typedef typename _LhsNested::Scalar Scalar;
- typedef typename promote_index_type<typename traits<_LhsNested>::Index,
- typename traits<_RhsNested>::Index>::type Index;
-
- enum {
- LhsCoeffReadCost = _LhsNested::CoeffReadCost,
- RhsCoeffReadCost = _RhsNested::CoeffReadCost,
- LhsFlags = _LhsNested::Flags,
- RhsFlags = _RhsNested::Flags,
-
- RowsAtCompileTime = _LhsNested::RowsAtCompileTime,
- ColsAtCompileTime = _RhsNested::ColsAtCompileTime,
- MaxRowsAtCompileTime = _LhsNested::MaxRowsAtCompileTime,
- MaxColsAtCompileTime = _RhsNested::MaxColsAtCompileTime,
-
- InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(_LhsNested::ColsAtCompileTime, _RhsNested::RowsAtCompileTime),
-
- EvalToRowMajor = (RhsFlags & LhsFlags & RowMajorBit),
-
- RemovedBits = ~(EvalToRowMajor ? 0 : RowMajorBit),
-
- Flags = (int(LhsFlags | RhsFlags) & HereditaryBits & RemovedBits)
- | EvalBeforeAssigningBit
- | EvalBeforeNestingBit,
-
- CoeffReadCost = Dynamic
- };
-
- typedef Sparse StorageKind;
-};
-
-} // end namespace internal
-
-template<typename LhsNested, typename RhsNested>
-class SparseSparseProduct : internal::no_assignment_operator,
- public SparseMatrixBase<SparseSparseProduct<LhsNested, RhsNested> >
-{
- public:
-
- typedef SparseMatrixBase<SparseSparseProduct> Base;
- EIGEN_DENSE_PUBLIC_INTERFACE(SparseSparseProduct)
-
- private:
-
- typedef typename internal::traits<SparseSparseProduct>::_LhsNested _LhsNested;
- typedef typename internal::traits<SparseSparseProduct>::_RhsNested _RhsNested;
-
- public:
-
- template<typename Lhs, typename Rhs>
- EIGEN_STRONG_INLINE SparseSparseProduct(const Lhs& lhs, const Rhs& rhs)
- : m_lhs(lhs), m_rhs(rhs), m_tolerance(0), m_conservative(true)
- {
- init();
- }
-
- template<typename Lhs, typename Rhs>
- EIGEN_STRONG_INLINE SparseSparseProduct(const Lhs& lhs, const Rhs& rhs, const RealScalar& tolerance)
- : m_lhs(lhs), m_rhs(rhs), m_tolerance(tolerance), m_conservative(false)
- {
- init();
- }
-
- SparseSparseProduct pruned(const Scalar& reference = 0, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision()) const
- {
- using std::abs;
- return SparseSparseProduct(m_lhs,m_rhs,abs(reference)*epsilon);
- }
-
- template<typename Dest>
- void evalTo(Dest& result) const
- {
- if(m_conservative)
- internal::conservative_sparse_sparse_product_selector<_LhsNested, _RhsNested, Dest>::run(lhs(),rhs(),result);
- else
- internal::sparse_sparse_product_with_pruning_selector<_LhsNested, _RhsNested, Dest>::run(lhs(),rhs(),result,m_tolerance);
- }
-
- EIGEN_STRONG_INLINE Index rows() const { return m_lhs.rows(); }
- EIGEN_STRONG_INLINE Index cols() const { return m_rhs.cols(); }
-
- EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; }
- EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; }
-
- protected:
- void init()
- {
- eigen_assert(m_lhs.cols() == m_rhs.rows());
-
- enum {
- ProductIsValid = _LhsNested::ColsAtCompileTime==Dynamic
- || _RhsNested::RowsAtCompileTime==Dynamic
- || int(_LhsNested::ColsAtCompileTime)==int(_RhsNested::RowsAtCompileTime),
- AreVectors = _LhsNested::IsVectorAtCompileTime && _RhsNested::IsVectorAtCompileTime,
- SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(_LhsNested,_RhsNested)
- };
- // note to the lost user:
- // * for a dot product use: v1.dot(v2)
- // * for a coeff-wise product use: v1.cwise()*v2
- EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
- INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
- EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
- INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
- EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
- }
-
- LhsNested m_lhs;
- RhsNested m_rhs;
- RealScalar m_tolerance;
- bool m_conservative;
-};
-
-// sparse = sparse * sparse
-template<typename Derived>
-template<typename Lhs, typename Rhs>
-inline Derived& SparseMatrixBase<Derived>::operator=(const SparseSparseProduct<Lhs,Rhs>& product)
-{
- product.evalTo(derived());
- return derived();
-}
-
/** \returns an expression of the product of two sparse matrices.
* By default a conservative product preserving the symbolic non zeros is performed.
* The automatic pruning of the small values can be achieved by calling the pruned() function
@@ -177,12 +25,74 @@ inline Derived& SparseMatrixBase<Derived>::operator=(const SparseSparseProduct<L
* */
template<typename Derived>
template<typename OtherDerived>
-inline const typename SparseSparseProductReturnType<Derived,OtherDerived>::Type
+inline const Product<Derived,OtherDerived>
SparseMatrixBase<Derived>::operator*(const SparseMatrixBase<OtherDerived> &other) const
{
- return typename SparseSparseProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
+ return Product<Derived,OtherDerived>(derived(), other.derived());
}
+namespace internal {
+
+// sparse * sparse
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseShape, SparseShape, ProductType>
+{
+ template<typename Dest>
+ static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+ {
+ typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
+ typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
+ LhsNested lhsNested(lhs);
+ RhsNested rhsNested(rhs);
+ internal::conservative_sparse_sparse_product_selector<typename remove_all<LhsNested>::type,
+ typename remove_all<RhsNested>::type, Dest>::run(lhsNested,rhsNested,dst);
+ }
+};
+
+// sparse * sparse-triangular
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseShape, SparseTriangularShape, ProductType>
+ : public generic_product_impl<Lhs, Rhs, SparseShape, SparseShape, ProductType>
+{};
+
+// sparse-triangular * sparse
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseTriangularShape, SparseShape, ProductType>
+ : public generic_product_impl<Lhs, Rhs, SparseShape, SparseShape, ProductType>
+{};
+
+template<typename Lhs, typename Rhs, int Options>
+struct evaluator<SparseView<Product<Lhs, Rhs, Options> > >
+ : public evaluator<typename Product<Lhs, Rhs, DefaultProduct>::PlainObject>::type
+{
+ typedef SparseView<Product<Lhs, Rhs, Options> > XprType;
+ typedef typename XprType::PlainObject PlainObject;
+ typedef typename evaluator<PlainObject>::type Base;
+
+ typedef evaluator type;
+ typedef evaluator nestedType;
+
+ explicit evaluator(const XprType& xpr)
+ : m_result(xpr.rows(), xpr.cols())
+ {
+ using std::abs;
+ ::new (static_cast<Base*>(this)) Base(m_result);
+ typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
+ typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
+ LhsNested lhsNested(xpr.nestedExpression().lhs());
+ RhsNested rhsNested(xpr.nestedExpression().rhs());
+
+ internal::sparse_sparse_product_with_pruning_selector<typename remove_all<LhsNested>::type,
+ typename remove_all<RhsNested>::type, PlainObject>::run(lhsNested,rhsNested,m_result,
+ abs(xpr.reference())*xpr.epsilon());
+ }
+
+protected:
+ PlainObject m_result;
+};
+
+} // end namespace internal
+
} // end namespace Eigen
#endif // EIGEN_SPARSEPRODUCT_H