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LinalgBackendBase.h
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LinalgBackendBase.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/config.h>
#include <shogun/lib/common.h>
#include <shogun/lib/SGVector.h>
#include <shogun/lib/SGMatrix.h>
#include <shogun/io/SGIO.h>
#include <shogun/mathematics/linalg/GPUMemoryBase.h>
#include <memory>
#ifndef LINALG_BACKEND_BASE_H__
#define LINALG_BACKEND_BASE_H__
namespace shogun
{
/** @brief Base interface of generic linalg methods
* and generic memory transfer methods.
*/
class 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); \
/**
* Wrapper method of add operation the operation C = alpha*A + beta*B.
*
* @see linalg::add
*/
#define BACKEND_GENERIC_ADD(Type, Container) \
virtual Container<Type> add(const Container<Type>& a, const Container<Type>& b, Type alpha, Type beta) const \
{ \
SG_SNOTIMPLEMENTED; \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_ADD, SGVector)
#undef BACKEND_GENERIC_ADD
/**
* Wrapper method of vector dot-product that works with generic vectors.
*
* @see linalg::dot
*/
#define BACKEND_GENERIC_DOT(Type, Container) \
virtual Type dot(const Container<Type>& a, const Container<Type>& b) const \
{ \
SG_SNOTIMPLEMENTED; \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_DOT, SGVector)
#undef BACKEND_GENERIC_DOT
/**
* Wrapper method of vector sum that works with generic vectors.
*
* @see linalg::sum
*/
#define BACKEND_GENERIC_SUM(Type, Container) \
virtual Type sum(const Container<Type>& a) const \
{ \
SG_SNOTIMPLEMENTED; \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_SUM, SGVector)
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_SUM, SGMatrix)
#undef BACKEND_GENERIC_SUM
/**
* Wrapper method of matrix rowwise sum that works with dense matrices.
*
* @see linalg::colwise_sum
*/
#define BACKEND_GENERIC_COLWISE_SUM(Type, Container) \
virtual SGVector<Type> colwise_sum(const Container<Type>& a) const \
{ \
SG_SNOTIMPLEMENTED; \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_COLWISE_SUM, SGMatrix)
#undef BACKEND_GENERIC_COLWISE_SUM
/**
* Wrapper method of matrix rowwise sum that works with dense matrices.
*
* @see linalg::rowwise_sum
*/
#define BACKEND_GENERIC_ROWWISE_SUM(Type, Container) \
virtual SGVector<Type> rowwise_sum(const Container<Type>& a) const \
{ \
SG_SNOTIMPLEMENTED; \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_ROWWISE_SUM, SGMatrix)
#undef BACKEND_GENERIC_ROWWISE_SUM
/**
* Wrapper method of Transferring data to GPU memory.
* Does nothing if no GPU backend registered.
*
* @see linalg::to_gpu
*/
#define BACKEND_GENERIC_TO_GPU(Type, Container) \
virtual GPUMemoryBase<Type>* to_gpu(const Container<Type>&) const \
{ \
SG_SNOTIMPLEMENTED; \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_TO_GPU, SGVector)
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_TO_GPU, SGMatrix)
#undef BACKEND_GENERIC_TO_GPU
/**
* Wrapper method of fetching data from GPU memory.
*
* @see linalg::from_gpu
*/
#define BACKEND_GENERIC_FROM_GPU(Type, Container) \
virtual void from_gpu(const Container<Type>&, Type* data) const \
{ \
SG_SNOTIMPLEMENTED; \
}
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_FROM_GPU, SGVector)
DEFINE_FOR_ALL_PTYPE(BACKEND_GENERIC_FROM_GPU, SGMatrix)
#undef BACKEND_GENERIC_FROM_GPU
#undef DEFINE_FOR_ALL_PTYPE
};
}
#endif //LINALG_BACKEND_BASE_H__