| /* |
| Copyright (c) 2011, Intel Corporation. All rights reserved. |
| |
| Redistribution and use in source and binary forms, with or without modification, |
| are permitted provided that the following conditions are met: |
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| * Redistributions of source code must retain the above copyright notice, this |
| list of conditions and the following disclaimer. |
| * Redistributions in binary form must reproduce the above copyright notice, |
| this list of conditions and the following disclaimer in the documentation |
| and/or other materials provided with the distribution. |
| * Neither the name of Intel Corporation nor the names of its contributors may |
| be used to endorse or promote products derived from this software without |
| specific prior written permission. |
| |
| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND |
| ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED |
| WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE |
| DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR |
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| (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; |
| LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON |
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| |
| ******************************************************************************** |
| * Content : Eigen bindings to LAPACKe |
| * Self-adjoint eigenvalues/eigenvectors. |
| ******************************************************************************** |
| */ |
| |
| #ifndef EIGEN_SAEIGENSOLVER_LAPACKE_H |
| #define EIGEN_SAEIGENSOLVER_LAPACKE_H |
| |
| // IWYU pragma: private |
| #include "./InternalHeaderCheck.h" |
| |
| namespace Eigen { |
| |
| /** \internal Specialization for the data types supported by LAPACKe */ |
| |
| #define EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, EIGCOLROW) \ |
| template <> \ |
| template <typename InputType> \ |
| inline SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \ |
| SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, \ |
| int options) { \ |
| eigen_assert(matrix.cols() == matrix.rows()); \ |
| eigen_assert((options & ~(EigVecMask | GenEigMask)) == 0 && (options & EigVecMask) != EigVecMask && \ |
| "invalid option parameter"); \ |
| bool computeEigenvectors = (options & ComputeEigenvectors) == ComputeEigenvectors; \ |
| lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), lda, info; \ |
| m_eivalues.resize(n, 1); \ |
| m_subdiag.resize(n - 1); \ |
| m_eivec = matrix; \ |
| \ |
| if (n == 1) { \ |
| m_eivalues.coeffRef(0, 0) = numext::real(m_eivec.coeff(0, 0)); \ |
| if (computeEigenvectors) m_eivec.setOnes(n, n); \ |
| m_info = Success; \ |
| m_isInitialized = true; \ |
| m_eigenvectorsOk = computeEigenvectors; \ |
| return *this; \ |
| } \ |
| \ |
| lda = internal::convert_index<lapack_int>(m_eivec.outerStride()); \ |
| char jobz, uplo = 'L' /*, range='A'*/; \ |
| jobz = computeEigenvectors ? 'V' : 'N'; \ |
| \ |
| info = LAPACKE_##LAPACKE_NAME(LAPACK_COL_MAJOR, jobz, uplo, n, (LAPACKE_TYPE*)m_eivec.data(), lda, \ |
| (LAPACKE_RTYPE*)m_eivalues.data()); \ |
| m_info = (info == 0) ? Success : NoConvergence; \ |
| m_isInitialized = true; \ |
| m_eigenvectorsOk = computeEigenvectors; \ |
| return *this; \ |
| } |
| |
| #define EIGEN_LAPACKE_EIG_SELFADJ(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME) \ |
| EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, ColMajor) \ |
| EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, RowMajor) |
| |
| EIGEN_LAPACKE_EIG_SELFADJ(double, double, double, dsyev) |
| EIGEN_LAPACKE_EIG_SELFADJ(float, float, float, ssyev) |
| EIGEN_LAPACKE_EIG_SELFADJ(dcomplex, lapack_complex_double, double, zheev) |
| EIGEN_LAPACKE_EIG_SELFADJ(scomplex, lapack_complex_float, float, cheev) |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_SAEIGENSOLVER_H |