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/*
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********************************************************************************
* Content : Eigen bindings to LAPACKe
* LU decomposition with partial pivoting based on LAPACKE_?getrf function.
********************************************************************************
*/
#ifndef EIGEN_PARTIALLU_LAPACK_H
#define EIGEN_PARTIALLU_LAPACK_H
namespace Eigen {
namespace internal {
/** \internal Specialization for the data types supported by LAPACKe */
#define EIGEN_LAPACKE_LU_PARTPIV(EIGTYPE, LAPACKE_TYPE, LAPACKE_PREFIX) \
template<int StorageOrder> \
struct partial_lu_impl<EIGTYPE, StorageOrder, lapack_int> \
{ \
/* \internal performs the LU decomposition in-place of the matrix represented */ \
static lapack_int blocked_lu(Index rows, Index cols, EIGTYPE* lu_data, Index luStride, lapack_int* row_transpositions, lapack_int& nb_transpositions, lapack_int maxBlockSize=256) \
{ \
EIGEN_UNUSED_VARIABLE(maxBlockSize);\
lapack_int matrix_order, first_zero_pivot; \
lapack_int m, n, lda, *ipiv, info; \
EIGTYPE* a; \
/* Set up parameters for ?getrf */ \
matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
lda = convert_index<lapack_int>(luStride); \
a = lu_data; \
ipiv = row_transpositions; \
m = convert_index<lapack_int>(rows); \
n = convert_index<lapack_int>(cols); \
nb_transpositions = 0; \
\
info = LAPACKE_##LAPACKE_PREFIX##getrf( matrix_order, m, n, (LAPACKE_TYPE*)a, lda, ipiv ); \
\
for(int i=0;i<m;i++) { ipiv[i]--; if (ipiv[i]!=i) nb_transpositions++; } \
\
eigen_assert(info >= 0); \
/* something should be done with nb_transpositions */ \
\
first_zero_pivot = info; \
return first_zero_pivot; \
} \
};
EIGEN_LAPACKE_LU_PARTPIV(double, double, d)
EIGEN_LAPACKE_LU_PARTPIV(float, float, s)
EIGEN_LAPACKE_LU_PARTPIV(dcomplex, lapack_complex_double, z)
EIGEN_LAPACKE_LU_PARTPIV(scomplex, lapack_complex_float, c)
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_PARTIALLU_LAPACK_H