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Fix regression is sparse-sparse product

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This commit is contained in:
Gael Guennebaud 2014-09-01 17:34:55 +02:00
parent 0369db12af
commit b121eecf60
1 changed files with 7 additions and 4 deletions
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11
Eigen/src/SparseCore/ConservativeSparseSparseProduct.h
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@ -29,6 +29,8 @@ static void conservative_sparse_sparse_product_impl(const Lhs& lhs, const Rhs& r
ei_declare_aligned_stack_constructed_variable(Scalar, values, rows, 0);
ei_declare_aligned_stack_constructed_variable(Index, indices, rows, 0);
std::memset(mask,0,sizeof(bool)*rows);
// estimate the number of non zero entries
// given a rhs column containing Y non zeros, we assume that the respective Y columns
// of the lhs differs in average of one non zeros, thus the number of non zeros for
@ -136,20 +138,21 @@ struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,ColMajor,C
typedef SparseMatrix<typename ResultType::Scalar,ColMajor,typename ResultType::Index> ColMajorMatrixAux;
typedef typename sparse_eval<ColMajorMatrixAux,ResultType::RowsAtCompileTime,ResultType::ColsAtCompileTime>::type ColMajorMatrix;
ColMajorMatrix resCol(lhs.rows(),rhs.cols());
// FIXME, the following heuristic is probably not very good.
if(lhs.rows()>=rhs.cols())
{
ColMajorMatrix resCol(lhs.rows(),rhs.cols());
// perform sorted insertion
internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrix>(lhs, rhs, resCol, true);
res.swap(resCol);
res = resCol.markAsRValue();
}
else
{
ColMajorMatrixAux resCol(lhs.rows(),rhs.cols());
// ressort to transpose to sort the entries
internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrix>(lhs, rhs, resCol, false);
internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrixAux>(lhs, rhs, resCol, false);
RowMajorMatrix resRow(resCol);
res = resRow;
res = resRow.markAsRValue();
}
}
};