devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix compilation errors with ICC

Browse Source
This commit is contained in:
Gael Guennebaud
2012-02-03 23:16:52 +01:00
parent a594d7ffd7
commit bc7b251cd9
2 changed files with 14 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
Eigen/src/SparseCore/SparseSparseProductWithPruning.h
View File

@@ -101,7 +101,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,C
static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, RealScalar tolerance)
{
typename remove_all<ResultType>::type _res(res.rows(), res.cols());
sparse_sparse_product_with_pruning_impl<Lhs,Rhs,ResultType>(lhs, rhs, _res, tolerance);
internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,ResultType>(lhs, rhs, _res, tolerance);
res.swap(_res);
}
};
@@ -115,7 +115,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,C
// we need a col-major matrix to hold the result
typedef SparseMatrix<typename ResultType::Scalar> SparseTemporaryType;
SparseTemporaryType _res(res.rows(), res.cols());
sparse_sparse_product_with_pruning_impl<Lhs,Rhs,SparseTemporaryType>(lhs, rhs, _res, tolerance);
internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,SparseTemporaryType>(lhs, rhs, _res, tolerance);
res = _res;
}
};
@@ -128,7 +128,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,R
{
// let's transpose the product to get a column x column product
typename remove_all<ResultType>::type _res(res.rows(), res.cols());
sparse_sparse_product_with_pruning_impl<Rhs,Lhs,ResultType>(rhs, lhs, _res, tolerance);
internal::sparse_sparse_product_with_pruning_impl<Rhs,Lhs,ResultType>(rhs, lhs, _res, tolerance);
res.swap(_res);
}
};
@@ -142,7 +142,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,R
typedef SparseMatrix<typename ResultType::Scalar,ColMajor> ColMajorMatrix;
ColMajorMatrix colLhs(lhs);
ColMajorMatrix colRhs(rhs);
sparse_sparse_product_with_pruning_impl<ColMajorMatrix,ColMajorMatrix,ResultType>(colLhs, colRhs, res, tolerance);
internal::sparse_sparse_product_with_pruning_impl<ColMajorMatrix,ColMajorMatrix,ResultType>(colLhs, colRhs, res, tolerance);
// let's transpose the product to get a column x column product
// typedef SparseMatrix<typename ResultType::Scalar> SparseTemporaryType;