72 lines
2.0 KiB
C++
72 lines
2.0 KiB
C++
/*
|
|
* This program is free software; you can redistribute it and/or
|
|
* modify it under the terms of the GNU General Public License
|
|
* as published by the Free Software Foundation; either version 2
|
|
* of the License, or (at your option) any later version.
|
|
*
|
|
* This program is distributed in the hope that it will be useful,
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
* GNU General Public License for more details.
|
|
*
|
|
* You should have received a copy of the GNU General Public License
|
|
* along with this program; if not, write to the Free Software Foundation,
|
|
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
|
|
*
|
|
* The Original Code is Copyright (C) 2015 Blender Foundation.
|
|
* All rights reserved.
|
|
*/
|
|
|
|
#ifndef __EIGEN3_SVD_C_API_CC__
|
|
#define __EIGEN3_SVD_C_API_CC__
|
|
|
|
/* Eigen gives annoying huge amount of warnings here, silence them! */
|
|
#if defined(__GNUC__) && !defined(__clang__)
|
|
# pragma GCC diagnostic ignored "-Wlogical-op"
|
|
#endif
|
|
|
|
#ifdef __EIGEN3_SVD_C_API_CC__ /* quiet warning */
|
|
#endif
|
|
|
|
#include <Eigen/Core>
|
|
#include <Eigen/Dense>
|
|
#include <Eigen/SVD>
|
|
|
|
#include "svd.h"
|
|
|
|
using Eigen::JacobiSVD;
|
|
|
|
using Eigen::NoQRPreconditioner;
|
|
|
|
using Eigen::ComputeThinU;
|
|
using Eigen::ComputeThinV;
|
|
|
|
using Eigen::Map;
|
|
using Eigen::MatrixXf;
|
|
using Eigen::VectorXf;
|
|
|
|
using Eigen::Matrix4f;
|
|
|
|
void EIG_svd_square_matrix(const int size, const float *matrix, float *r_U, float *r_S, float *r_V)
|
|
{
|
|
/* Since our matrix is squared, we can use thinU/V. */
|
|
unsigned int flags = (r_U ? ComputeThinU : 0) | (r_V ? ComputeThinV : 0);
|
|
|
|
/* Blender and Eigen matrices are both column-major. */
|
|
JacobiSVD<MatrixXf, NoQRPreconditioner> svd(Map<MatrixXf>((float *)matrix, size, size), flags);
|
|
|
|
if (r_U) {
|
|
Map<MatrixXf>(r_U, size, size) = svd.matrixU();
|
|
}
|
|
|
|
if (r_S) {
|
|
Map<VectorXf>(r_S, size) = svd.singularValues();
|
|
}
|
|
|
|
if (r_V) {
|
|
Map<MatrixXf>(r_V, size, size) = svd.matrixV();
|
|
}
|
|
}
|
|
|
|
#endif /* __EIGEN3_SVD_C_API_CC__ */
|