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/* SPDX-License-Identifier: GPL-2.0-or-later
* Copyright 2015 Blender Foundation. All rights reserved. */
/** \file
* \ingroup intern_eigen
*/
#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__ */
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