diff options
Diffstat (limited to 'runtimes/nn/depend/external/eigen/Eigen/SVD')
| -rw-r--r-- | runtimes/nn/depend/external/eigen/Eigen/SVD | 47 |
1 files changed, 0 insertions, 47 deletions
diff --git a/runtimes/nn/depend/external/eigen/Eigen/SVD b/runtimes/nn/depend/external/eigen/Eigen/SVD deleted file mode 100644 index 86143c23d..000000000 --- a/runtimes/nn/depend/external/eigen/Eigen/SVD +++ /dev/null @@ -1,47 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// 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_SVD_MODULE_H -#define EIGEN_SVD_MODULE_H - -#include "QR" -#include "Householder" -#include "Jacobi" - -#include "src/Core/util/DisableStupidWarnings.h" - -/** \defgroup SVD_Module SVD module - * - * - * - * This module provides SVD decomposition for matrices (both real and complex). - * Two decomposition algorithms are provided: - * - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones. - * - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems. - * These decompositions are accessible via the respective classes and following MatrixBase methods: - * - MatrixBase::jacobiSvd() - * - MatrixBase::bdcSvd() - * - * \code - * #include <Eigen/SVD> - * \endcode - */ - -#include "src/misc/RealSvd2x2.h" -#include "src/SVD/UpperBidiagonalization.h" -#include "src/SVD/SVDBase.h" -#include "src/SVD/JacobiSVD.h" -#include "src/SVD/BDCSVD.h" -#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT) -#include "src/misc/lapacke.h" -#include "src/SVD/JacobiSVD_LAPACKE.h" -#endif - -#include "src/Core/util/ReenableStupidWarnings.h" - -#endif // EIGEN_SVD_MODULE_H -/* vim: set filetype=cpp et sw=2 ts=2 ai: */ |