// This file is part of Eigen, a lightweight C++ template library // for linear algebra. Eigen itself is part of the KDE project. // // Copyright (C) 2008 Gael Guennebaud // // Eigen is free software; you can redistribute it and/or // modify it under the terms of the GNU Lesser General Public // License as published by the Free Software Foundation; either // version 3 of the License, or (at your option) any later version. // // Alternatively, 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. // // Eigen 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 Lesser General Public License or the // GNU General Public License for more details. // // You should have received a copy of the GNU Lesser General Public // License and a copy of the GNU General Public License along with // Eigen. If not, see . #ifndef EIGEN_DUMMY_PACKET_MATH_H #define EIGEN_DUMMY_PACKET_MATH_H // Default implementation for types not supported by the vectorization. // In practice these functions are provided to make easier the writting // of generic vectorized code. However, at runtime, they should never be // called, TODO so sould we raise an assertion or not ? /** \internal \returns a + b (coeff-wise) */ template inline Scalar ei_padd(const Scalar& a, const Scalar& b) { return a + b; } /** \internal \returns a - b (coeff-wise) */ template inline Scalar ei_psub(const Scalar& a, const Scalar& b) { return a - b; } /** \internal \returns a * b (coeff-wise) */ template inline Scalar ei_pmul(const Scalar& a, const Scalar& b) { return a * b; } /** \internal \returns a * b - c (coeff-wise) */ template inline Scalar ei_pmadd(const Scalar& a, const Scalar& b, const Scalar& c) { return ei_padd(ei_pmul(a, b),c); } /** \internal \returns the min of \a a and \a b (coeff-wise) */ template inline Scalar ei_pmin(const Scalar& a, const Scalar& b) { return std::min(a,b); } /** \internal \returns the max of \a a and \a b (coeff-wise) */ template inline Scalar ei_pmax(const Scalar& a, const Scalar& b) { return std::max(a,b); } /** \internal \returns a packet version of \a *from, from must be 16 bytes aligned */ template inline Scalar ei_pload(const Scalar* from) { return *from; } /** \internal \returns a packet version of \a *from, (un-aligned load) */ template inline Scalar ei_ploadu(const Scalar* from) { return *from; } /** \internal \returns a packet with constant coefficients \a a, e.g.: (a,a,a,a) */ template inline Scalar ei_pset1(const Scalar& a) { return a; } /** \internal copy the packet \a from to \a *to, \a to must be 16 bytes aligned */ template inline void ei_pstore(Scalar* to, const Scalar& from) { (*to) = from; } /** \internal copy the packet \a from to \a *to, (un-aligned store) */ template inline void ei_pstoreu(Scalar* to, const Scalar& from) { (*to) = from; } /** \internal \returns the first element of a packet */ template inline Scalar ei_pfirst(const Scalar& a) { return a; } /** \internal \returns a packet where the element i contains the sum of the packet of \a vec[i] */ template inline Scalar ei_preduxp(const Scalar* vecs) { return vecs[0]; } /** \internal \returns the sum of the elements of \a a*/ template inline Scalar ei_predux(const Scalar& a) { return a; } #endif // EIGEN_DUMMY_PACKET_MATH_H