在 C++ 中构造模板函数时出现编译错误 C2664 和 C2440
Compilation error C2664 and C2440 when constructing a template function in C++
我正在使用 Spectra C++ library, which is built on top of the Eigen C++ 库。
我需要根据方法中给定的 SelectionRule
和 GeigsMode
参数构造一个正确的 SymGEigsSolver
对象。 SymGEigsSolver
的定义如下:
template<typename Scalar, int SelectionRule, typename OpType, typename BOpType, int GEigsMode>
class Spectra::SymGEigsSolver< Scalar, SelectionRule, OpType, BOpType, GEigsMode >
然而,当我尝试编译以下函数时:
typedef SparseMatrix<double, Eigen::RowMajor> SpMat;
typedef Spectra::SparseSymMatProd<double, Eigen::Upper, Eigen::RowMajor> SpSymMatProd;
typedef Spectra::SparseCholesky<double, Eigen::Upper> SpCholesky;
typedef Spectra::SparseRegularInverse<double, Eigen::Upper, Eigen::RowMajor> SpRegularInverse;
template < typename Scalar,
int SelectionRule,
typename OpType,
typename BOpType,
int GEigsMode >
SymGEigsSolver<Scalar, SelectionRule, OpType, BOpType, GEigsMode>& CreateSolverEngine
(const SpMat& A, const SpMat& B, int selectRule, int gMode, int nMode, int ncv)
{
SpSymMatProd op(A);
if (gMode == Spectra::GEIGS_CHOLESKY)
{
SpCholesky Bop(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpCholesky, GEigsMode>
ges1(op, Bop, nMode, ncv);
return ges1;
}
if (gMode == Spectra::GEIGS_REGULAR_INVERSE)
{
SpRegularInverse Bop2(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpRegularInverse, GEigsMode>
ges(op, Bop2, nMode, ncv);
return ges;
}
throw std::out_of_range("out of range for "+gMode);
}
我遇到编译错误,例如:
Error C2664 'Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>::SymGEigsSolver(OpType *,BOpType *,int,int)'
: cannot convert parameter 1
from 'SpSymMatProd' to 'SpSymMatProd *'
和
C2440 'return' : cannot convert from
'Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>'
to
'Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>&'
和
C2664 Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>::SymGEigsSolver(OpType *,BOpType *,int,int)'
: cannot convert parameter 1 from 'SpSymMatProd' to 'SpSymMatProd *'
我自己想出了答案 -- 我在方法名称处打错了 &
。这是正确的解决方案:
typedef SparseMatrix<double, Eigen::RowMajor> SpMat;
typedef Spectra::SparseSymMatProd<double, Eigen::Upper, Eigen::RowMajor> SpSymMatProd;
typedef Spectra::SparseCholesky<double, Eigen::Upper> SpCholesky;
typedef Spectra::SparseRegularInverse<double, Eigen::Upper, Eigen::RowMajor> SpRegularInverse;
template < typename Scalar,
int SelectionRule,
typename OpType,
typename BOpType,
int GEigsMode >
SymGEigsSolver<Scalar, SelectionRule, OpType, BOpType, GEigsMode> CreateSolverEngine
(const SpMat& A, const SpMat& B, int selectRule, int gMode, int nMode, int ncv)
{
SpSymMatProd op(A);
if (gMode == Spectra::GEIGS_CHOLESKY)
{
SpCholesky Bop(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpCholesky, GEigsMode>
ges1(op, Bop, nMode, ncv);
return ges1;
}
if (gMode == Spectra::GEIGS_REGULAR_INVERSE)
{
SpRegularInverse Bop2(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpRegularInverse, GEigsMode>
ges(op, Bop2, nMode, ncv);
return ges;
}
throw std::out_of_range("out of range for "+gMode);
}
我正在使用 Spectra C++ library, which is built on top of the Eigen C++ 库。
我需要根据方法中给定的 SelectionRule
和 GeigsMode
参数构造一个正确的 SymGEigsSolver
对象。 SymGEigsSolver
的定义如下:
template<typename Scalar, int SelectionRule, typename OpType, typename BOpType, int GEigsMode>
class Spectra::SymGEigsSolver< Scalar, SelectionRule, OpType, BOpType, GEigsMode >
然而,当我尝试编译以下函数时:
typedef SparseMatrix<double, Eigen::RowMajor> SpMat;
typedef Spectra::SparseSymMatProd<double, Eigen::Upper, Eigen::RowMajor> SpSymMatProd;
typedef Spectra::SparseCholesky<double, Eigen::Upper> SpCholesky;
typedef Spectra::SparseRegularInverse<double, Eigen::Upper, Eigen::RowMajor> SpRegularInverse;
template < typename Scalar,
int SelectionRule,
typename OpType,
typename BOpType,
int GEigsMode >
SymGEigsSolver<Scalar, SelectionRule, OpType, BOpType, GEigsMode>& CreateSolverEngine
(const SpMat& A, const SpMat& B, int selectRule, int gMode, int nMode, int ncv)
{
SpSymMatProd op(A);
if (gMode == Spectra::GEIGS_CHOLESKY)
{
SpCholesky Bop(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpCholesky, GEigsMode>
ges1(op, Bop, nMode, ncv);
return ges1;
}
if (gMode == Spectra::GEIGS_REGULAR_INVERSE)
{
SpRegularInverse Bop2(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpRegularInverse, GEigsMode>
ges(op, Bop2, nMode, ncv);
return ges;
}
throw std::out_of_range("out of range for "+gMode);
}
我遇到编译错误,例如:
Error C2664 'Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>::SymGEigsSolver(OpType *,BOpType *,int,int)'
: cannot convert parameter 1
from 'SpSymMatProd' to 'SpSymMatProd *'
和
C2440 'return' : cannot convert from
'Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>'
to
'Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>&'
和
C2664 Spectra::SymGEigsSolver<Scalar,SelectionRule,OpType,BOpType,GEigsMode>::SymGEigsSolver(OpType *,BOpType *,int,int)'
: cannot convert parameter 1 from 'SpSymMatProd' to 'SpSymMatProd *'
我自己想出了答案 -- 我在方法名称处打错了 &
。这是正确的解决方案:
typedef SparseMatrix<double, Eigen::RowMajor> SpMat;
typedef Spectra::SparseSymMatProd<double, Eigen::Upper, Eigen::RowMajor> SpSymMatProd;
typedef Spectra::SparseCholesky<double, Eigen::Upper> SpCholesky;
typedef Spectra::SparseRegularInverse<double, Eigen::Upper, Eigen::RowMajor> SpRegularInverse;
template < typename Scalar,
int SelectionRule,
typename OpType,
typename BOpType,
int GEigsMode >
SymGEigsSolver<Scalar, SelectionRule, OpType, BOpType, GEigsMode> CreateSolverEngine
(const SpMat& A, const SpMat& B, int selectRule, int gMode, int nMode, int ncv)
{
SpSymMatProd op(A);
if (gMode == Spectra::GEIGS_CHOLESKY)
{
SpCholesky Bop(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpCholesky, GEigsMode>
ges1(op, Bop, nMode, ncv);
return ges1;
}
if (gMode == Spectra::GEIGS_REGULAR_INVERSE)
{
SpRegularInverse Bop2(B);
SymGEigsSolver<Scalar, SelectionRule, SpSymMatProd, SpRegularInverse, GEigsMode>
ges(op, Bop2, nMode, ncv);
return ges;
}
throw std::out_of_range("out of range for "+gMode);
}