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bug #1224: fix regression in (dense*dense).sparseView() by specializing evaluator<SparseView<Product>> for sparse products only.

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This commit is contained in:
Gael Guennebaud 2016-05-18 16:53:28 +02:00
parent b507b82326
commit 8456bbbadb
2 changed files with 12 additions and 6 deletions
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12
Eigen/src/SparseCore/SparseProduct.h
View File

@ -131,14 +131,14 @@ struct Assignment<DstXprType, Product<Lhs,Rhs,AliasFreeProduct>, internal::sub_a
};
template<typename Lhs, typename Rhs, int Options>
struct evaluator<SparseView<Product<Lhs, Rhs, Options> > >
struct unary_evaluator<SparseView<Product<Lhs, Rhs, Options> >, IteratorBased>
: public evaluator<typename Product<Lhs, Rhs, DefaultProduct>::PlainObject>
{
typedef SparseView<Product<Lhs, Rhs, Options> > XprType;
typedef typename XprType::PlainObject PlainObject;
typedef evaluator<PlainObject> Base;
explicit evaluator(const XprType& xpr)
explicit unary_evaluator(const XprType& xpr)
: m_result(xpr.rows(), xpr.cols())
{
using std::abs;
@ -147,13 +147,13 @@ struct evaluator<SparseView<Product<Lhs, Rhs, Options> > >
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:
protected:
PlainObject m_result;
};

6
test/sparse_basic.cpp
View File

@ -372,6 +372,12 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
SparseMatrixType m2(rows, rows);
initSparse<Scalar>(density, refMat2, m2);
VERIFY_IS_APPROX(m2.eval(), refMat2.sparseView().eval());
// sparse view on expressions:
VERIFY_IS_APPROX((s1*m2).eval(), (s1*refMat2).sparseView().eval());
VERIFY_IS_APPROX((m2+m2).eval(), (refMat2+refMat2).sparseView().eval());
VERIFY_IS_APPROX((m2*m2).eval(), (refMat2.lazyProduct(refMat2)).sparseView().eval());
VERIFY_IS_APPROX((m2*m2).eval(), (refMat2*refMat2).sparseView().eval());
}
// test diagonal