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LinalgBackendEigen.h
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LinalgBackendEigen.h
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/*
* Copyright (c) 2016, Shogun-Toolbox e.V. <shogun-team@shogun-toolbox.org>
* All rights reserved.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* 2. 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.
*
* 3. Neither the name of the copyright holder 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 HOLDER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
* Authors: 2016 Pan Deng, Soumyajit De, Heiko Strathmann, Viktor Gal
*/
#include <shogun/lib/SGVector.h>
#include <shogun/mathematics/eigen3.h>
#include <shogun/mathematics/linalg/LinalgBackendBase.h>
#ifndef LINALG_BACKEND_EIGEN_H__
#define LINALG_BACKEND_EIGEN_H__
namespace shogun
{
/** @brief linalg methods with Eigen3 backend */
class LinalgBackendEigen : public LinalgBackendBase
{
public:
#define DEFINE_FOR_ALL_PTYPE(METHODNAME, Container) \
METHODNAME(bool, Container); \
METHODNAME(char, Container); \
METHODNAME(int8_t, Container); \
METHODNAME(uint8_t, Container); \
METHODNAME(int16_t, Container); \
METHODNAME(uint16_t, Container); \
METHODNAME(int32_t, Container); \
METHODNAME(uint32_t, Container); \
METHODNAME(int64_t, Container); \
METHODNAME(uint64_t, Container); \
METHODNAME(float32_t, Container); \
METHODNAME(float64_t, Container); \
METHODNAME(floatmax_t, Container); \
METHODNAME(complex128_t, Container); \
/** Implementation of @see LinalgBackendBase::add */
#define BACKEND_GENERIC_ADD(Type, Container) \
virtual Container<Type> add(const Container<Type>& a, const Container<Type>& b, Type alpha, Type beta) const \
{ \
return add_impl(a, b, alpha, beta); \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_ADD, SGVector)
#undef BACKEND_GENERIC_ADD
/** Implementation of @see LinalgBackendBase::dot */
#define BACKEND_GENERIC_DOT(Type, Container) \
virtual Type dot(const Container<Type>& a, const Container<Type>& b) const \
{ \
return dot_impl(a, b); \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_DOT, SGVector)
#undef BACKEND_GENERIC_DOT
/** Implementation of @see LinalgBackendBase::sum */
#define BACKEND_GENERIC_SUM(Type, Container) \
virtual Type sum(const Container<Type>& a) const \
{ \
return sum_impl(a); \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_SUM, SGVector)
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_SUM, SGMatrix)
#undef BACKEND_GENERIC_SUM
/** Implementation of @see LinalgBackendBase::colwise_sum */
#define BACKEND_GENERIC_COLWISE_SUM(Type, Container) \
virtual SGVector<Type> colwise_sum(const Container<Type>& a) const \
{ \
return colwise_sum_impl(a); \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_COLWISE_SUM, SGMatrix)
#undef BACKEND_GENERIC_COLWISE_SUM
/** Implementation of @see LinalgBackendBase::rowwise_sum */
#define BACKEND_GENERIC_ROWWISE_SUM(Type, Container) \
virtual SGVector<Type> rowwise_sum(const Container<Type>& a) const \
{ \
return rowwise_sum_impl(a); \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_ROWWISE_SUM, SGMatrix)
#undef BACKEND_GENERIC_ROWWISE_SUM
#undef DEFINE_FOR_ALL_PTYPE
private:
/** Eigen3 vector C = alpha*A + beta*B method */
template <typename T>
SGVector<T> add_impl(const SGVector<T>& a, const SGVector<T>& b, T alpha, T beta) const
{
SGVector<T> c(a.vlen);
typename SGVector<T>::EigenVectorXtMap a_eig = a;
typename SGVector<T>::EigenVectorXtMap b_eig = b;
typename SGVector<T>::EigenVectorXtMap c_eig = c;
c_eig = alpha * a_eig + beta * b_eig;
return c;
}
/** Eigen3 vector dot-product method */
template <typename T>
T dot_impl(const SGVector<T>& a, const SGVector<T>& b) const
{
return (typename SGVector<T>::EigenVectorXtMap(a)).dot(typename SGVector<T>::EigenVectorXtMap(b));
}
/** Eigen3 vector sum method */
template <typename T>
T sum_impl(const SGVector<T>& vec) const
{
return (typename SGVector<T>::EigenVectorXtMap(vec)).sum();
}
/** Eigen3 matrix sum method */
template <typename T>
T sum_impl(const SGMatrix<T>& mat) const
{
return (typename SGMatrix<T>::EigenMatrixXtMap(mat)).sum();
}
/** Eigen3 matrix colwise sum method */
template <typename T>
SGVector<T> colwise_sum_impl(const SGMatrix<T>& mat) const
{
SGVector<T> result(mat.num_cols);
typename SGMatrix<T>::EigenMatrixXtMap mat_eig = mat;
typename SGVector<T>::EigenVectorXtMap result_eig = result;
result_eig = mat_eig.colwise().sum();
return result;
}
/** Eigen3 matrix rowwise sum method */
template <typename T>
SGVector<T> rowwise_sum_impl(const SGMatrix<T>& mat) const
{
SGVector<T> result(mat.num_rows);
typename SGMatrix<T>::EigenMatrixXtMap mat_eig = mat;
typename SGVector<T>::EigenVectorXtMap result_eig = result;
result_eig = mat_eig.rowwise().sum();
return result;
}
};
}
#endif //LINALG_BACKEND_EIGEN_H__