blob: ccffd830f41a8384f987a691896d9a7c775538f4 [file]
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2015 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/.
// SPDX-License-Identifier: MPL-2.0
#ifndef EIGEN_SPARSE_MAP_H
#define EIGEN_SPARSE_MAP_H
// IWYU pragma: private
#include "./InternalHeaderCheck.h"
namespace Eigen {
namespace internal {
template <typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
struct traits<Map<SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> >
: public traits<SparseMatrix<MatScalar, MatOptions, MatIndex> > {
using PlainObjectType = SparseMatrix<MatScalar, MatOptions, MatIndex>;
using TraitsBase = traits<PlainObjectType>;
enum { Flags = TraitsBase::Flags & (~NestByRefBit) };
};
template <typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
struct traits<Map<const SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> >
: public traits<SparseMatrix<MatScalar, MatOptions, MatIndex> > {
using PlainObjectType = SparseMatrix<MatScalar, MatOptions, MatIndex>;
using TraitsBase = traits<PlainObjectType>;
enum { Flags = TraitsBase::Flags & (~(NestByRefBit | LvalueBit)) };
};
} // end namespace internal
template <typename Derived,
int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors>
class SparseMapBase;
/** \ingroup SparseCore_Module
* class SparseMapBase
* \brief Common base class for Map and Ref instance of sparse matrix and vector.
*/
template <typename Derived>
class SparseMapBase<Derived, ReadOnlyAccessors> : public SparseCompressedBase<Derived> {
public:
using Base = SparseCompressedBase<Derived>;
using Scalar = typename Base::Scalar;
using StorageIndex = typename Base::StorageIndex;
enum { IsRowMajor = Base::IsRowMajor };
using Base::operator=;
protected:
using ScalarPointer = std::conditional_t<bool(internal::is_lvalue<Derived>::value), Scalar*, const Scalar*>;
using IndexPointer =
std::conditional_t<bool(internal::is_lvalue<Derived>::value), StorageIndex*, const StorageIndex*>;
Index m_outerSize;
Index m_innerSize;
Array<StorageIndex, 2, 1> m_zero_nnz;
IndexPointer m_outerIndex;
IndexPointer m_innerIndices;
ScalarPointer m_values;
IndexPointer m_innerNonZeros;
public:
/** \copydoc SparseMatrixBase::rows() */
inline Index rows() const { return IsRowMajor ? m_outerSize : m_innerSize; }
/** \copydoc SparseMatrixBase::cols() */
inline Index cols() const { return IsRowMajor ? m_innerSize : m_outerSize; }
/** \copydoc SparseMatrixBase::innerSize() */
inline Index innerSize() const { return m_innerSize; }
/** \copydoc SparseMatrixBase::outerSize() */
inline Index outerSize() const { return m_outerSize; }
/** \copydoc SparseCompressedBase::nonZeros */
inline Index nonZeros() const { return m_zero_nnz[1]; }
/** \copydoc SparseCompressedBase::isCompressed */
bool isCompressed() const { return m_innerNonZeros == 0; }
//----------------------------------------
// direct access interface
/** \copydoc SparseMatrix::valuePtr */
inline const Scalar* valuePtr() const { return m_values; }
/** \copydoc SparseMatrix::innerIndexPtr */
inline const StorageIndex* innerIndexPtr() const { return m_innerIndices; }
/** \copydoc SparseMatrix::outerIndexPtr */
inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
/** \copydoc SparseMatrix::innerNonZeroPtr */
inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZeros; }
//----------------------------------------
/** \copydoc SparseMatrix::coeff */
inline Scalar coeff(Index row, Index col) const {
const Index outer = IsRowMajor ? row : col;
const Index inner = IsRowMajor ? col : row;
Index start = m_outerIndex[outer];
Index end = isCompressed() ? m_outerIndex[outer + 1] : start + m_innerNonZeros[outer];
if (start == end)
return Scalar(0);
else if (end > 0 && inner == m_innerIndices[end - 1])
return m_values[end - 1];
// ^^ optimization: let's first check if it is the last coefficient
// (very common in high level algorithms)
const StorageIndex* r = std::lower_bound(&m_innerIndices[start], &m_innerIndices[end - 1], inner);
const Index id = r - &m_innerIndices[0];
return ((*r == inner) && (id < end)) ? m_values[id] : Scalar(0);
}
inline SparseMapBase(Index rows, Index cols, Index nnz, IndexPointer outerIndexPtr, IndexPointer innerIndexPtr,
ScalarPointer valuePtr, IndexPointer innerNonZerosPtr = 0)
: m_outerSize(IsRowMajor ? rows : cols),
m_innerSize(IsRowMajor ? cols : rows),
m_zero_nnz(0, internal::convert_index<StorageIndex>(nnz)),
m_outerIndex(outerIndexPtr),
m_innerIndices(innerIndexPtr),
m_values(valuePtr),
m_innerNonZeros(innerNonZerosPtr) {}
// for vectors
inline SparseMapBase(Index size, Index nnz, IndexPointer innerIndexPtr, ScalarPointer valuePtr)
: m_outerSize(1),
m_innerSize(size),
m_zero_nnz(0, internal::convert_index<StorageIndex>(nnz)),
m_outerIndex(m_zero_nnz.data()),
m_innerIndices(innerIndexPtr),
m_values(valuePtr),
m_innerNonZeros(0) {}
protected:
inline SparseMapBase() = default;
};
/** \ingroup SparseCore_Module
* class SparseMapBase
* \brief Common base class for writable Map and Ref instance of sparse matrix and vector.
*/
template <typename Derived>
class SparseMapBase<Derived, WriteAccessors> : public SparseMapBase<Derived, ReadOnlyAccessors> {
public:
using Base = SparseMapBase<Derived, ReadOnlyAccessors>;
using Scalar = typename Base::Scalar;
using StorageIndex = typename Base::StorageIndex;
enum { IsRowMajor = Base::IsRowMajor };
using Base::operator=;
public:
//----------------------------------------
// direct access interface
using Base::innerIndexPtr;
using Base::innerNonZeroPtr;
using Base::outerIndexPtr;
using Base::valuePtr;
/** \copydoc SparseMatrix::valuePtr */
inline Scalar* valuePtr() { return Base::m_values; }
/** \copydoc SparseMatrix::innerIndexPtr */
inline StorageIndex* innerIndexPtr() { return Base::m_innerIndices; }
/** \copydoc SparseMatrix::outerIndexPtr */
inline StorageIndex* outerIndexPtr() { return Base::m_outerIndex; }
/** \copydoc SparseMatrix::innerNonZeroPtr */
inline StorageIndex* innerNonZeroPtr() { return Base::m_innerNonZeros; }
//----------------------------------------
/** \returns a non-const reference to the value of the matrix at position \a row, \a col
*
* The element must already exist: unlike SparseMatrix::coeffRef, this function cannot insert a new one because
* \c *this does not own the buffers it points to.
*
* This is a O(log(nnz_j)) operation (binary search).
*/
inline Scalar& coeffRef(Index row, Index col) {
const Index outer = IsRowMajor ? row : col;
const Index inner = IsRowMajor ? col : row;
Index start = Base::m_outerIndex[outer];
Index end = Base::isCompressed() ? Base::m_outerIndex[outer + 1] : start + Base::m_innerNonZeros[outer];
eigen_assert(end >= start && "you probably called coeffRef on a non finalized matrix");
eigen_assert(end > start && "coeffRef cannot be called on a zero coefficient");
StorageIndex* r = std::lower_bound(&Base::m_innerIndices[start], &Base::m_innerIndices[end], inner);
const Index id = r - &Base::m_innerIndices[0];
eigen_assert((*r == inner) && (id < end) && "coeffRef cannot be called on a zero coefficient");
return const_cast<Scalar*>(Base::m_values)[id];
}
inline SparseMapBase(Index rows, Index cols, Index nnz, StorageIndex* outerIndexPtr, StorageIndex* innerIndexPtr,
Scalar* valuePtr, StorageIndex* innerNonZerosPtr = 0)
: Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZerosPtr) {}
// for vectors
inline SparseMapBase(Index size, Index nnz, StorageIndex* innerIndexPtr, Scalar* valuePtr)
: Base(size, nnz, innerIndexPtr, valuePtr) {}
protected:
inline SparseMapBase() = default;
};
/** \ingroup SparseCore_Module
*
* \brief Specialization of class Map for SparseMatrix-like storage.
*
* \tparam SparseMatrixType the equivalent sparse matrix type of the referenced data, it must be a template instance of
* class SparseMatrix.
*
* \sa class Map, class SparseMatrix, class Ref<SparseMatrixType,Options>
*/
#ifndef EIGEN_PARSED_BY_DOXYGEN
template <typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
class Map<SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType>
: public SparseMapBase<Map<SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> >
#else
template <typename SparseMatrixType>
class Map<SparseMatrixType> : public SparseMapBase<Derived, WriteAccessors>
#endif
{
public:
using Base = SparseMapBase<Map>;
EIGEN_SPARSE_PUBLIC_INTERFACE(Map)
enum { IsRowMajor = Base::IsRowMajor };
public:
/** Constructs a read-write Map to a sparse matrix of size \a rows x \a cols, containing \a nnz non-zero coefficients,
* stored as a sparse format as defined by the pointers \a outerIndexPtr, \a innerIndexPtr, and \a valuePtr.
* If the optional parameter \a innerNonZerosPtr is the null pointer, then a standard compressed format is assumed.
* The inner indices must be sorted appropriately.
*
* This constructor is available only if \c SparseMatrixType is non-const.
*
* More details on the expected storage schemes are given in the \ref TutorialSparse "manual pages".
*/
inline Map(Index rows, Index cols, Index nnz, StorageIndex* outerIndexPtr, StorageIndex* innerIndexPtr,
Scalar* valuePtr, StorageIndex* innerNonZerosPtr = 0)
: Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZerosPtr) {}
#ifndef EIGEN_PARSED_BY_DOXYGEN
};
template <typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
class Map<const SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType>
: public SparseMapBase<Map<const SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> > {
public:
using Base = SparseMapBase<Map>;
EIGEN_SPARSE_PUBLIC_INTERFACE(Map)
enum { IsRowMajor = Base::IsRowMajor };
public:
#endif
/** This is the const version of the above constructor.
*
* This constructor is available only if \c SparseMatrixType is const, e.g.:
* \code Map<const SparseMatrix<double> > \endcode
*/
inline Map(Index rows, Index cols, Index nnz, const StorageIndex* outerIndexPtr, const StorageIndex* innerIndexPtr,
const Scalar* valuePtr, const StorageIndex* innerNonZerosPtr = 0)
: Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZerosPtr) {}
};
namespace internal {
template <typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
struct evaluator<Map<SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> >
: evaluator<SparseCompressedBase<Map<SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> > > {
using Base = evaluator<SparseCompressedBase<Map<SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType>>>;
using XprType = Map<SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType>;
evaluator() = default;
explicit evaluator(const XprType& mat) : Base(mat) {}
};
template <typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
struct evaluator<Map<const SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> >
: evaluator<SparseCompressedBase<Map<const SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType> > > {
using Base =
evaluator<SparseCompressedBase<Map<const SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType>>>;
using XprType = Map<const SparseMatrix<MatScalar, MatOptions, MatIndex>, Options, StrideType>;
evaluator() = default;
explicit evaluator(const XprType& mat) : Base(mat) {}
};
} // namespace internal
} // end namespace Eigen
#endif // EIGEN_SPARSE_MAP_H