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Diffstat (limited to 'runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseMatrixBase.h')
-rw-r--r-- | runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseMatrixBase.h | 405 |
1 files changed, 0 insertions, 405 deletions
diff --git a/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseMatrixBase.h b/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseMatrixBase.h deleted file mode 100644 index c6b548f11..000000000 --- a/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseMatrixBase.h +++ /dev/null @@ -1,405 +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_SPARSEMATRIXBASE_H -#define EIGEN_SPARSEMATRIXBASE_H - -namespace Eigen { - -/** \ingroup SparseCore_Module - * - * \class SparseMatrixBase - * - * \brief Base class of any sparse matrices or sparse expressions - * - * \tparam Derived is the derived type, e.g. a sparse matrix type, or an expression, etc. - * - * This class can be extended with the help of the plugin mechanism described on the page - * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_SPARSEMATRIXBASE_PLUGIN. - */ -template<typename Derived> class SparseMatrixBase - : public EigenBase<Derived> -{ - public: - - typedef typename internal::traits<Derived>::Scalar Scalar; - - /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc. - * - * It is an alias for the Scalar type */ - typedef Scalar value_type; - - typedef typename internal::packet_traits<Scalar>::type PacketScalar; - typedef typename internal::traits<Derived>::StorageKind StorageKind; - - /** The integer type used to \b store indices within a SparseMatrix. - * For a \c SparseMatrix<Scalar,Options,IndexType> it an alias of the third template parameter \c IndexType. */ - typedef typename internal::traits<Derived>::StorageIndex StorageIndex; - - typedef typename internal::add_const_on_value_type_if_arithmetic< - typename internal::packet_traits<Scalar>::type - >::type PacketReturnType; - - typedef SparseMatrixBase StorageBaseType; - - typedef Matrix<StorageIndex,Dynamic,1> IndexVector; - typedef Matrix<Scalar,Dynamic,1> ScalarVector; - - template<typename OtherDerived> - Derived& operator=(const EigenBase<OtherDerived> &other); - - enum { - - RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime, - /**< The number of rows at compile-time. This is just a copy of the value provided - * by the \a Derived type. If a value is not known at compile-time, - * it is set to the \a Dynamic constant. - * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */ - - ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime, - /**< The number of columns at compile-time. This is just a copy of the value provided - * by the \a Derived type. If a value is not known at compile-time, - * it is set to the \a Dynamic constant. - * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */ - - - SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime, - internal::traits<Derived>::ColsAtCompileTime>::ret), - /**< This is equal to the number of coefficients, i.e. the number of - * rows times the number of columns, or to \a Dynamic if this is not - * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */ - - MaxRowsAtCompileTime = RowsAtCompileTime, - MaxColsAtCompileTime = ColsAtCompileTime, - - MaxSizeAtCompileTime = (internal::size_at_compile_time<MaxRowsAtCompileTime, - MaxColsAtCompileTime>::ret), - - IsVectorAtCompileTime = RowsAtCompileTime == 1 || ColsAtCompileTime == 1, - /**< This is set to true if either the number of rows or the number of - * columns is known at compile-time to be equal to 1. Indeed, in that case, - * we are dealing with a column-vector (if there is only one column) or with - * a row-vector (if there is only one row). */ - - Flags = internal::traits<Derived>::Flags, - /**< This stores expression \ref flags flags which may or may not be inherited by new expressions - * constructed from this one. See the \ref flags "list of flags". - */ - - IsRowMajor = Flags&RowMajorBit ? 1 : 0, - - InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime) - : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime), - - #ifndef EIGEN_PARSED_BY_DOXYGEN - _HasDirectAccess = (int(Flags)&DirectAccessBit) ? 1 : 0 // workaround sunCC - #endif - }; - - /** \internal the return type of MatrixBase::adjoint() */ - typedef typename internal::conditional<NumTraits<Scalar>::IsComplex, - CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, Eigen::Transpose<const Derived> >, - Transpose<const Derived> - >::type AdjointReturnType; - typedef Transpose<Derived> TransposeReturnType; - typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType; - - // FIXME storage order do not match evaluator storage order - typedef SparseMatrix<Scalar, Flags&RowMajorBit ? RowMajor : ColMajor, StorageIndex> PlainObject; - -#ifndef EIGEN_PARSED_BY_DOXYGEN - /** This is the "real scalar" type; if the \a Scalar type is already real numbers - * (e.g. int, float or double) then \a RealScalar is just the same as \a Scalar. If - * \a Scalar is \a std::complex<T> then RealScalar is \a T. - * - * \sa class NumTraits - */ - typedef typename NumTraits<Scalar>::Real RealScalar; - - /** \internal the return type of coeff() - */ - typedef typename internal::conditional<_HasDirectAccess, const Scalar&, Scalar>::type CoeffReturnType; - - /** \internal Represents a matrix with all coefficients equal to one another*/ - typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Matrix<Scalar,Dynamic,Dynamic> > ConstantReturnType; - - /** type of the equivalent dense matrix */ - typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> DenseMatrixType; - /** type of the equivalent square matrix */ - typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime), - EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType; - - inline const Derived& derived() const { return *static_cast<const Derived*>(this); } - inline Derived& derived() { return *static_cast<Derived*>(this); } - inline Derived& const_cast_derived() const - { return *static_cast<Derived*>(const_cast<SparseMatrixBase*>(this)); } - - typedef EigenBase<Derived> Base; - -#endif // not EIGEN_PARSED_BY_DOXYGEN - -#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::SparseMatrixBase -#ifdef EIGEN_PARSED_BY_DOXYGEN -#define EIGEN_DOC_UNARY_ADDONS(METHOD,OP) /** <p>This method does not change the sparsity of \c *this: the OP is applied to explicitly stored coefficients only. \sa SparseCompressedBase::coeffs() </p> */ -#define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL /** <p> \warning This method returns a read-only expression for any sparse matrices. \sa \ref TutorialSparse_SubMatrices "Sparse block operations" </p> */ -#define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND) /** <p> \warning This method returns a read-write expression for COND sparse matrices only. Otherwise, the returned expression is read-only. \sa \ref TutorialSparse_SubMatrices "Sparse block operations" </p> */ -#else -#define EIGEN_DOC_UNARY_ADDONS(X,Y) -#define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL -#define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND) -#endif -# include "../plugins/CommonCwiseUnaryOps.h" -# include "../plugins/CommonCwiseBinaryOps.h" -# include "../plugins/MatrixCwiseUnaryOps.h" -# include "../plugins/MatrixCwiseBinaryOps.h" -# include "../plugins/BlockMethods.h" -# ifdef EIGEN_SPARSEMATRIXBASE_PLUGIN -# include EIGEN_SPARSEMATRIXBASE_PLUGIN -# endif -#undef EIGEN_CURRENT_STORAGE_BASE_CLASS -#undef EIGEN_DOC_UNARY_ADDONS -#undef EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL -#undef EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF - - /** \returns the number of rows. \sa cols() */ - inline Index rows() const { return derived().rows(); } - /** \returns the number of columns. \sa rows() */ - inline Index cols() const { return derived().cols(); } - /** \returns the number of coefficients, which is \a rows()*cols(). - * \sa rows(), cols(). */ - inline Index size() const { return rows() * cols(); } - /** \returns true if either the number of rows or the number of columns is equal to 1. - * In other words, this function returns - * \code rows()==1 || cols()==1 \endcode - * \sa rows(), cols(), IsVectorAtCompileTime. */ - inline bool isVector() const { return rows()==1 || cols()==1; } - /** \returns the size of the storage major dimension, - * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */ - Index outerSize() const { return (int(Flags)&RowMajorBit) ? this->rows() : this->cols(); } - /** \returns the size of the inner dimension according to the storage order, - * i.e., the number of rows for a columns major matrix, and the number of cols otherwise */ - Index innerSize() const { return (int(Flags)&RowMajorBit) ? this->cols() : this->rows(); } - - bool isRValue() const { return m_isRValue; } - Derived& markAsRValue() { m_isRValue = true; return derived(); } - - SparseMatrixBase() : m_isRValue(false) { /* TODO check flags */ } - - - template<typename OtherDerived> - Derived& operator=(const ReturnByValue<OtherDerived>& other); - - template<typename OtherDerived> - inline Derived& operator=(const SparseMatrixBase<OtherDerived>& other); - - inline Derived& operator=(const Derived& other); - - protected: - - template<typename OtherDerived> - inline Derived& assign(const OtherDerived& other); - - template<typename OtherDerived> - inline void assignGeneric(const OtherDerived& other); - - public: - - friend std::ostream & operator << (std::ostream & s, const SparseMatrixBase& m) - { - typedef typename Derived::Nested Nested; - typedef typename internal::remove_all<Nested>::type NestedCleaned; - - if (Flags&RowMajorBit) - { - Nested nm(m.derived()); - internal::evaluator<NestedCleaned> thisEval(nm); - for (Index row=0; row<nm.outerSize(); ++row) - { - Index col = 0; - for (typename internal::evaluator<NestedCleaned>::InnerIterator it(thisEval, row); it; ++it) - { - for ( ; col<it.index(); ++col) - s << "0 "; - s << it.value() << " "; - ++col; - } - for ( ; col<m.cols(); ++col) - s << "0 "; - s << std::endl; - } - } - else - { - Nested nm(m.derived()); - internal::evaluator<NestedCleaned> thisEval(nm); - if (m.cols() == 1) { - Index row = 0; - for (typename internal::evaluator<NestedCleaned>::InnerIterator it(thisEval, 0); it; ++it) - { - for ( ; row<it.index(); ++row) - s << "0" << std::endl; - s << it.value() << std::endl; - ++row; - } - for ( ; row<m.rows(); ++row) - s << "0" << std::endl; - } - else - { - SparseMatrix<Scalar, RowMajorBit, StorageIndex> trans = m; - s << static_cast<const SparseMatrixBase<SparseMatrix<Scalar, RowMajorBit, StorageIndex> >&>(trans); - } - } - return s; - } - - template<typename OtherDerived> - Derived& operator+=(const SparseMatrixBase<OtherDerived>& other); - template<typename OtherDerived> - Derived& operator-=(const SparseMatrixBase<OtherDerived>& other); - - template<typename OtherDerived> - Derived& operator+=(const DiagonalBase<OtherDerived>& other); - template<typename OtherDerived> - Derived& operator-=(const DiagonalBase<OtherDerived>& other); - - template<typename OtherDerived> - Derived& operator+=(const EigenBase<OtherDerived> &other); - template<typename OtherDerived> - Derived& operator-=(const EigenBase<OtherDerived> &other); - - Derived& operator*=(const Scalar& other); - Derived& operator/=(const Scalar& other); - - template<typename OtherDerived> struct CwiseProductDenseReturnType { - typedef CwiseBinaryOp<internal::scalar_product_op<typename ScalarBinaryOpTraits< - typename internal::traits<Derived>::Scalar, - typename internal::traits<OtherDerived>::Scalar - >::ReturnType>, - const Derived, - const OtherDerived - > Type; - }; - - template<typename OtherDerived> - EIGEN_STRONG_INLINE const typename CwiseProductDenseReturnType<OtherDerived>::Type - cwiseProduct(const MatrixBase<OtherDerived> &other) const; - - // sparse * diagonal - template<typename OtherDerived> - const Product<Derived,OtherDerived> - operator*(const DiagonalBase<OtherDerived> &other) const - { return Product<Derived,OtherDerived>(derived(), other.derived()); } - - // diagonal * sparse - template<typename OtherDerived> friend - const Product<OtherDerived,Derived> - operator*(const DiagonalBase<OtherDerived> &lhs, const SparseMatrixBase& rhs) - { return Product<OtherDerived,Derived>(lhs.derived(), rhs.derived()); } - - // sparse * sparse - template<typename OtherDerived> - const Product<Derived,OtherDerived,AliasFreeProduct> - operator*(const SparseMatrixBase<OtherDerived> &other) const; - - // sparse * dense - template<typename OtherDerived> - const Product<Derived,OtherDerived> - operator*(const MatrixBase<OtherDerived> &other) const - { return Product<Derived,OtherDerived>(derived(), other.derived()); } - - // dense * sparse - template<typename OtherDerived> friend - const Product<OtherDerived,Derived> - operator*(const MatrixBase<OtherDerived> &lhs, const SparseMatrixBase& rhs) - { return Product<OtherDerived,Derived>(lhs.derived(), rhs.derived()); } - - /** \returns an expression of P H P^-1 where H is the matrix represented by \c *this */ - SparseSymmetricPermutationProduct<Derived,Upper|Lower> twistedBy(const PermutationMatrix<Dynamic,Dynamic,StorageIndex>& perm) const - { - return SparseSymmetricPermutationProduct<Derived,Upper|Lower>(derived(), perm); - } - - template<typename OtherDerived> - Derived& operator*=(const SparseMatrixBase<OtherDerived>& other); - - template<int Mode> - inline const TriangularView<const Derived, Mode> triangularView() const; - - template<unsigned int UpLo> struct SelfAdjointViewReturnType { typedef SparseSelfAdjointView<Derived, UpLo> Type; }; - template<unsigned int UpLo> struct ConstSelfAdjointViewReturnType { typedef const SparseSelfAdjointView<const Derived, UpLo> Type; }; - - template<unsigned int UpLo> inline - typename ConstSelfAdjointViewReturnType<UpLo>::Type selfadjointView() const; - template<unsigned int UpLo> inline - typename SelfAdjointViewReturnType<UpLo>::Type selfadjointView(); - - template<typename OtherDerived> Scalar dot(const MatrixBase<OtherDerived>& other) const; - template<typename OtherDerived> Scalar dot(const SparseMatrixBase<OtherDerived>& other) const; - RealScalar squaredNorm() const; - RealScalar norm() const; - RealScalar blueNorm() const; - - TransposeReturnType transpose() { return TransposeReturnType(derived()); } - const ConstTransposeReturnType transpose() const { return ConstTransposeReturnType(derived()); } - const AdjointReturnType adjoint() const { return AdjointReturnType(transpose()); } - - // inner-vector - typedef Block<Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true> InnerVectorReturnType; - typedef Block<const Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true> ConstInnerVectorReturnType; - InnerVectorReturnType innerVector(Index outer); - const ConstInnerVectorReturnType innerVector(Index outer) const; - - // set of inner-vectors - typedef Block<Derived,Dynamic,Dynamic,true> InnerVectorsReturnType; - typedef Block<const Derived,Dynamic,Dynamic,true> ConstInnerVectorsReturnType; - InnerVectorsReturnType innerVectors(Index outerStart, Index outerSize); - const ConstInnerVectorsReturnType innerVectors(Index outerStart, Index outerSize) const; - - DenseMatrixType toDense() const - { - return DenseMatrixType(derived()); - } - - template<typename OtherDerived> - bool isApprox(const SparseMatrixBase<OtherDerived>& other, - const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - - template<typename OtherDerived> - bool isApprox(const MatrixBase<OtherDerived>& other, - const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const - { return toDense().isApprox(other,prec); } - - /** \returns the matrix or vector obtained by evaluating this expression. - * - * Notice that in the case of a plain matrix or vector (not an expression) this function just returns - * a const reference, in order to avoid a useless copy. - */ - inline const typename internal::eval<Derived>::type eval() const - { return typename internal::eval<Derived>::type(derived()); } - - Scalar sum() const; - - inline const SparseView<Derived> - pruned(const Scalar& reference = Scalar(0), const RealScalar& epsilon = NumTraits<Scalar>::dummy_precision()) const; - - protected: - - bool m_isRValue; - - static inline StorageIndex convert_index(const Index idx) { - return internal::convert_index<StorageIndex>(idx); - } - private: - template<typename Dest> void evalTo(Dest &) const; -}; - -} // end namespace Eigen - -#endif // EIGEN_SPARSEMATRIXBASE_H |