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Diffstat (limited to 'runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseUtil.h')
| -rw-r--r-- | runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseUtil.h | 178 |
1 files changed, 0 insertions, 178 deletions
diff --git a/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseUtil.h b/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseUtil.h deleted file mode 100644 index 74df0d496..000000000 --- a/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseUtil.h +++ /dev/null @@ -1,178 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// 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 -// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. - -#ifndef EIGEN_SPARSEUTIL_H -#define EIGEN_SPARSEUTIL_H - -namespace Eigen { - -#ifdef NDEBUG -#define EIGEN_DBG_SPARSE(X) -#else -#define EIGEN_DBG_SPARSE(X) X -#endif - -#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \ -template<typename OtherDerived> \ -EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \ -{ \ - return Base::operator Op(other.derived()); \ -} \ -EIGEN_STRONG_INLINE Derived& operator Op(const Derived& other) \ -{ \ - return Base::operator Op(other); \ -} - -#define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \ -template<typename Other> \ -EIGEN_STRONG_INLINE Derived& operator Op(const Other& scalar) \ -{ \ - return Base::operator Op(scalar); \ -} - -#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) \ -EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) - - -#define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \ - EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) - - -const int CoherentAccessPattern = 0x1; -const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern; -const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern; -const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern; - -template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class SparseMatrix; -template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class DynamicSparseMatrix; -template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class SparseVector; -template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class MappedSparseMatrix; - -template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView; -template<typename Lhs, typename Rhs> class SparseDiagonalProduct; -template<typename MatrixType> class SparseView; - -template<typename Lhs, typename Rhs> class SparseSparseProduct; -template<typename Lhs, typename Rhs> class SparseTimeDenseProduct; -template<typename Lhs, typename Rhs> class DenseTimeSparseProduct; -template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct; - -template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType; -template<typename Lhs, typename Rhs, - int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct DenseSparseProductReturnType; - -template<typename Lhs, typename Rhs, - int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct SparseDenseProductReturnType; -template<typename MatrixType,int UpLo> class SparseSymmetricPermutationProduct; - -namespace internal { - -template<typename T,int Rows,int Cols,int Flags> struct sparse_eval; - -template<typename T> struct eval<T,Sparse> - : sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime,traits<T>::Flags> -{}; - -template<typename T,int Cols,int Flags> struct sparse_eval<T,1,Cols,Flags> { - typedef typename traits<T>::Scalar _Scalar; - typedef typename traits<T>::StorageIndex _StorageIndex; - public: - typedef SparseVector<_Scalar, RowMajor, _StorageIndex> type; -}; - -template<typename T,int Rows,int Flags> struct sparse_eval<T,Rows,1,Flags> { - typedef typename traits<T>::Scalar _Scalar; - typedef typename traits<T>::StorageIndex _StorageIndex; - public: - typedef SparseVector<_Scalar, ColMajor, _StorageIndex> type; -}; - -// TODO this seems almost identical to plain_matrix_type<T, Sparse> -template<typename T,int Rows,int Cols,int Flags> struct sparse_eval { - typedef typename traits<T>::Scalar _Scalar; - typedef typename traits<T>::StorageIndex _StorageIndex; - enum { _Options = ((Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor }; - public: - typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type; -}; - -template<typename T,int Flags> struct sparse_eval<T,1,1,Flags> { - typedef typename traits<T>::Scalar _Scalar; - public: - typedef Matrix<_Scalar, 1, 1> type; -}; - -template<typename T> struct plain_matrix_type<T,Sparse> -{ - typedef typename traits<T>::Scalar _Scalar; - typedef typename traits<T>::StorageIndex _StorageIndex; - enum { _Options = ((evaluator<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor }; - public: - typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type; -}; - -template<typename T> -struct plain_object_eval<T,Sparse> - : sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime, evaluator<T>::Flags> -{}; - -template<typename Decomposition, typename RhsType> -struct solve_traits<Decomposition,RhsType,Sparse> -{ - typedef typename sparse_eval<RhsType, RhsType::RowsAtCompileTime, RhsType::ColsAtCompileTime,traits<RhsType>::Flags>::type PlainObject; -}; - -template<typename Derived> -struct generic_xpr_base<Derived, MatrixXpr, Sparse> -{ - typedef SparseMatrixBase<Derived> type; -}; - -struct SparseTriangularShape { static std::string debugName() { return "SparseTriangularShape"; } }; -struct SparseSelfAdjointShape { static std::string debugName() { return "SparseSelfAdjointShape"; } }; - -template<> struct glue_shapes<SparseShape,SelfAdjointShape> { typedef SparseSelfAdjointShape type; }; -template<> struct glue_shapes<SparseShape,TriangularShape > { typedef SparseTriangularShape type; }; - -} // end namespace internal - -/** \ingroup SparseCore_Module - * - * \class Triplet - * - * \brief A small structure to hold a non zero as a triplet (i,j,value). - * - * \sa SparseMatrix::setFromTriplets() - */ -template<typename Scalar, typename StorageIndex=typename SparseMatrix<Scalar>::StorageIndex > -class Triplet -{ -public: - Triplet() : m_row(0), m_col(0), m_value(0) {} - - Triplet(const StorageIndex& i, const StorageIndex& j, const Scalar& v = Scalar(0)) - : m_row(i), m_col(j), m_value(v) - {} - - /** \returns the row index of the element */ - const StorageIndex& row() const { return m_row; } - - /** \returns the column index of the element */ - const StorageIndex& col() const { return m_col; } - - /** \returns the value of the element */ - const Scalar& value() const { return m_value; } -protected: - StorageIndex m_row, m_col; - Scalar m_value; -}; - -} // end namespace Eigen - -#endif // EIGEN_SPARSEUTIL_H |