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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2015 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/.
#ifndef EIGEN_SUPERLUSUPPORT_H
#define EIGEN_SUPERLUSUPPORT_H
#if defined(SUPERLU_MAJOR_VERSION) && (SUPERLU_MAJOR_VERSION >= 5)
#define DECL_GSSVX(PREFIX,FLOATTYPE,KEYTYPE) \
extern "C" { \
extern void PREFIX##gssvx(superlu_options_t *, SuperMatrix *, int *, int *, int *, \
char *, FLOATTYPE *, FLOATTYPE *, SuperMatrix *, SuperMatrix *, \
void *, int, SuperMatrix *, SuperMatrix *, \
FLOATTYPE *, FLOATTYPE *, FLOATTYPE *, FLOATTYPE *, \
GlobalLU_t *, mem_usage_t *, SuperLUStat_t *, int *); \
} \
inline float SuperLU_gssvx(superlu_options_t *options, SuperMatrix *A, \
int *perm_c, int *perm_r, int *etree, char *equed, \
FLOATTYPE *R, FLOATTYPE *C, SuperMatrix *L, \
SuperMatrix *U, void *work, int lwork, \
SuperMatrix *B, SuperMatrix *X, \
FLOATTYPE *recip_pivot_growth, \
FLOATTYPE *rcond, FLOATTYPE *ferr, FLOATTYPE *berr, \
SuperLUStat_t *stats, int *info, KEYTYPE) { \
mem_usage_t mem_usage; \
GlobalLU_t gLU; \
PREFIX##gssvx(options, A, perm_c, perm_r, etree, equed, R, C, L, \
U, work, lwork, B, X, recip_pivot_growth, rcond, \
ferr, berr, &gLU, &mem_usage, stats, info); \
return mem_usage.for_lu; /* bytes used by the factor storage */ \
}
#else // version < 5.0
#define DECL_GSSVX(PREFIX,FLOATTYPE,KEYTYPE) \
extern "C" { \
extern void PREFIX##gssvx(superlu_options_t *, SuperMatrix *, int *, int *, int *, \
char *, FLOATTYPE *, FLOATTYPE *, SuperMatrix *, SuperMatrix *, \
void *, int, SuperMatrix *, SuperMatrix *, \
FLOATTYPE *, FLOATTYPE *, FLOATTYPE *, FLOATTYPE *, \
mem_usage_t *, SuperLUStat_t *, int *); \
} \
inline float SuperLU_gssvx(superlu_options_t *options, SuperMatrix *A, \
int *perm_c, int *perm_r, int *etree, char *equed, \
FLOATTYPE *R, FLOATTYPE *C, SuperMatrix *L, \
SuperMatrix *U, void *work, int lwork, \
SuperMatrix *B, SuperMatrix *X, \
FLOATTYPE *recip_pivot_growth, \
FLOATTYPE *rcond, FLOATTYPE *ferr, FLOATTYPE *berr, \
SuperLUStat_t *stats, int *info, KEYTYPE) { \
mem_usage_t mem_usage; \
PREFIX##gssvx(options, A, perm_c, perm_r, etree, equed, R, C, L, \
U, work, lwork, B, X, recip_pivot_growth, rcond, \
ferr, berr, &mem_usage, stats, info); \
return mem_usage.for_lu; /* bytes used by the factor storage */ \
}
DECL_GSSVX(s,float,float)
DECL_GSSVX(c,float,std::complex<float>)
DECL_GSSVX(d,double,double)
DECL_GSSVX(z,double,std::complex<double>)
#ifdef MILU_ALPHA
#define EIGEN_SUPERLU_HAS_ILU
#endif
#ifdef EIGEN_SUPERLU_HAS_ILU
// similarly for the incomplete factorization using gsisx
#define DECL_GSISX(PREFIX,FLOATTYPE,KEYTYPE) \
extern "C" { \
extern void PREFIX##gsisx(superlu_options_t *, SuperMatrix *, int *, int *, int *, \
char *, FLOATTYPE *, FLOATTYPE *, SuperMatrix *, SuperMatrix *, \
void *, int, SuperMatrix *, SuperMatrix *, FLOATTYPE *, FLOATTYPE *, \
mem_usage_t *, SuperLUStat_t *, int *); \
} \
inline float SuperLU_gsisx(superlu_options_t *options, SuperMatrix *A, \
int *perm_c, int *perm_r, int *etree, char *equed, \
FLOATTYPE *R, FLOATTYPE *C, SuperMatrix *L, \
SuperMatrix *U, void *work, int lwork, \
SuperMatrix *B, SuperMatrix *X, \
FLOATTYPE *recip_pivot_growth, \
FLOATTYPE *rcond, \
SuperLUStat_t *stats, int *info, KEYTYPE) { \
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PREFIX##gsisx(options, A, perm_c, perm_r, etree, equed, R, C, L, \
U, work, lwork, B, X, recip_pivot_growth, rcond, \
&mem_usage, stats, info); \
return mem_usage.for_lu; /* bytes used by the factor storage */ \
}
DECL_GSISX(s,float,float)
DECL_GSISX(c,float,std::complex<float>)
DECL_GSISX(d,double,double)
DECL_GSISX(z,double,std::complex<double>)
#endif
template<typename MatrixType>
struct SluMatrixMapHelper;
/** \internal
*
* A wrapper class for SuperLU matrices. It supports only compressed sparse matrices
* and dense matrices. Supernodal and other fancy format are not supported by this wrapper.
*
* This wrapper class mainly aims to avoids the need of dynamic allocation of the storage structure.
*/
struct SluMatrix : SuperMatrix
{
SluMatrix()
{
Store = &storage;
}
SluMatrix(const SluMatrix& other)
: SuperMatrix(other)
{
Store = &storage;
storage = other.storage;
}
SluMatrix& operator=(const SluMatrix& other)
{
SuperMatrix::operator=(static_cast<const SuperMatrix&>(other));
Store = &storage;
storage = other.storage;
return *this;
}
struct
{
union {int nnz;int lda;};
void *values;
int *innerInd;
int *outerInd;
} storage;
void setStorageType(Stype_t t)
{
Stype = t;
if (t==SLU_NC || t==SLU_NR || t==SLU_DN)
Store = &storage;
else
{
eigen_assert(false && "storage type not supported");
Store = 0;
}
}
template<typename Scalar>
void setScalarType()
{
if (internal::is_same<Scalar,float>::value)
Dtype = SLU_S;
else if (internal::is_same<Scalar,double>::value)
Dtype = SLU_D;
else if (internal::is_same<Scalar,std::complex<float> >::value)
Dtype = SLU_C;
else if (internal::is_same<Scalar,std::complex<double> >::value)
Dtype = SLU_Z;
else
{
eigen_assert(false && "Scalar type not supported by SuperLU");
}
}
template<typename MatrixType>
static SluMatrix Map(MatrixBase<MatrixType>& _mat)
{
MatrixType& mat(_mat.derived());
eigen_assert( ((MatrixType::Flags&RowMajorBit)!=RowMajorBit) && "row-major dense matrices are not supported by SuperLU");
SluMatrix res;
res.setStorageType(SLU_DN);
res.setScalarType<typename MatrixType::Scalar>();
res.Mtype = SLU_GE;
res.nrow = internal::convert_index<int>(mat.rows());
res.ncol = internal::convert_index<int>(mat.cols());
res.storage.lda = internal::convert_index<int>(MatrixType::IsVectorAtCompileTime ? mat.size() : mat.outerStride());
res.storage.values = (void*)(mat.data());
return res;
}
template<typename MatrixType>
static SluMatrix Map(SparseMatrixBase<MatrixType>& a_mat)
MatrixType &mat(a_mat.derived());
SluMatrix res;
if ((MatrixType::Flags&RowMajorBit)==RowMajorBit)
{
res.setStorageType(SLU_NR);
res.nrow = internal::convert_index<int>(mat.cols());
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