/usr/include/votca/tools/votca_gsl_boost_ublas_matrix_prod.h is in libvotca-tools-dev 1.4.1-2.
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* Copyright 2009-2016 The VOTCA Development Team (http://www.votca.org)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
#ifndef _GSL_BOOST_UBLAS_MATRIX_PROD_
#define _GSL_BOOST_UBLAS_MATRIX_PROD_
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/symmetric.hpp>
#include <gsl/gsl_blas.h>
namespace boost { namespace numeric { namespace ublas {
/*
* GSL has separate implementations for floats and doubles
* hence we first have specializations for these two types
* TSeparate templates for diagonal and symmetric matreces
* and their combinations. To check whether a specific
* routine is called, define GSLDEBUG
*/
// partial specialization for double precision (dgemm))
template<class F, class A>
inline matrix<double,F,A> // prod( m1, m2 )
prod(const matrix<double,F,A> &m1, const matrix<double,F,A> &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;34mGSL [CMD,CM]\x1b[0;39m\n" << std::flush;
#endif
gsl_matrix_const_view mA = gsl_matrix_const_view_array (&m1(0,0), m1.size1(), m1.size2());
gsl_matrix_const_view mB = gsl_matrix_const_view_array (&m2(0,0), m2.size1(), m2.size2());
boost::numeric::ublas::matrix<double,F,A> AxB( m1.size1(), m2.size2() );
gsl_matrix_view mC = gsl_matrix_view_array (&AxB(0,0), AxB.size1(), AxB.size2());
gsl_blas_dgemm (CblasNoTrans, CblasNoTrans,
1.0, &mA.matrix, &mB.matrix,
0.0, &mC.matrix);
return AxB;
}
// partial specialization for single precision (sgemm))
template<class F, class A>
inline matrix<float,F,A> // prod( m1, m2 )
prod(const matrix<float,F,A> &m1, const matrix<float,F,A> &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;34mGSL [CMS,CM]\x1b[0;39m\n" << std::flush;
#endif
gsl_matrix_float_const_view mA = gsl_matrix_float_const_view_array (&m1(0,0), m1.size1(), m1.size2());
gsl_matrix_float_const_view mB = gsl_matrix_float_const_view_array (&m2(0,0), m2.size1(), m2.size2());
boost::numeric::ublas::matrix<float,F,A> AxB( m1.size1(), m2.size2() );
gsl_matrix_float_view mC = gsl_matrix_float_view_array (&AxB(0,0), AxB.size1(), AxB.size2());
gsl_blas_sgemm (CblasNoTrans, CblasNoTrans,
1.0, &mA.matrix, &mB.matrix,
0.0, &mC.matrix);
return AxB;
}
// full specialization
template<class T, class F, class A>
inline matrix<T,F,A> // prod( m1, m2 )
prod(const matrix<T,F,A> &m1, const matrix<T,F,A> &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;34mGSL [CM,CM]\x1b[0;39m -> " << std::flush;
#endif
return prod(m1,m2);
}
/// transpose products
template<class T, class F, class A>
inline matrix<T,F,A> // prod( trans(m1), m2 )
prod(const matrix_unary2<matrix<T,F,A>,scalar_identity<T> > &m1, const matrix<T,F,A> &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;32mGSL [CTM,CM]\x1b[0;39m -> " << std::flush;
#endif
boost::numeric::ublas::matrix<T,F,A> _m1 = m1;
return prod(_m1,m2);
}
template<class T, class F, class A>
inline matrix<T,F,A> // prod( m1, trans(m2) )
prod(const matrix<T,F,A> &m1, const matrix_unary2<matrix<T,F,A>,scalar_identity<T> > &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;32mGSL [CM,CTM]\x1b[0;39m -> " << std::flush;
#endif
const boost::numeric::ublas::matrix<T,F,A> _m2 = m2;
return prod(m1,_m2);
}
template<class T, class F, class A>
inline matrix<T,F,A> // prod( trans(m1), trans(m2) )
prod(const matrix_unary2<matrix<T,F,A>,scalar_identity<T> > &m1, const matrix_unary2<matrix<T,F,A>,scalar_identity<T> > &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;32mGSL [CTM,CTM]\x1b[0;39m -> " << std::flush;
#endif
boost::numeric::ublas::matrix<T,F,A> _m1 = m1;
boost::numeric::ublas::matrix<T,F,A> _m2 = m2;
return prod(_m1,_m2);
}
/// diagonal matrix
template<class T, class F, class L, class A>
inline matrix<T,F,A> // prod( diagonal m1, m2 )
prod(const diagonal_matrix<T,L,A> &m1, const matrix<T,F,A> &m2 )
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CDM, CM]\x1b[0;39m -> " << std::flush;
#endif
const matrix<T,F,A> _m1 = m1;
return prod(_m1,m2);
}
template<class T, class F, class L, class A>
inline matrix<T,F,A> // prod( m1, diagonal m2 )
prod(const matrix<T,F,A> &m1, const diagonal_matrix<T,L,A> &m2 )
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CM, CDM]\x1b[0;39m -> " << std::flush;
#endif
const matrix<T,F,A> _m2 = m2;
return prod(m1,_m2);
}
template<class T, class F, class L, class A>
inline matrix<T,F,A> // prod( diagonal m1, diagonal m2 )
prod(const diagonal_matrix<T,L,A> &m1, const diagonal_matrix<T,L,A> &m2 )
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CDM, CM]\x1b[0;39m -> " << std::flush;
#endif
const matrix<T,F,A> _m1 = m1;
const matrix<T,F,A> _m2 = m2;
return prod(_m1,_m2);
}
template<class T, class F, class L, class A>
inline matrix<T,F,A> // prod( diagonal m1, transpose m2 )
prod(const diagonal_matrix<T,L,A> &m1, const matrix_unary2<matrix<T,F,A>,scalar_identity<T> > &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CDM, CTM]\x1b[0;39m -> " << std::flush;
#endif
const matrix<T,F,A> _m1 = m1;
const matrix<T,F,A> _m2 = m2;
return prod(_m1,_m2);
}
template<class T, class F, class L, class A>
inline matrix<T,F,A> // prod( transpose m1, diagonal m2 )
prod(const matrix_unary2<matrix<T,F,A>,scalar_identity<T> > &m1, const diagonal_matrix<T,L,A> &m2)
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CTM, CDM]\x1b[0;39m -> " << std::flush;
#endif
const matrix<T,F,A> _m1 = m1;
const matrix<T,F,A> _m2 = m2;
return prod(_m1,_m2);
}
// symmetric matrix
template<class T, class F, class A, class TRI, class L>
inline matrix<T,F,A> // prod( symmetric m1, m2 )
prod(symmetric_matrix<T, TRI, L, A> &m1, matrix<T,F,A> &m2 )
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CSM, CM]\x1b[0;39m -> " << std::flush;
#endif
assert( m1.size1() == m2.size1() );
const matrix<T,F,A> _m1 = m1;
return prod(_m1, m2 );
}
template<class T, class F, class A, class TRI, class L>
inline matrix<T,F,A> // prod( m1, symmetric m2 )
prod( matrix<T,F,A> &m1, symmetric_matrix<T, TRI, L, A> &m2 )
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CSM, CM]\x1b[0;39m -> " << std::flush;
#endif
assert( m1.size1() == m2.size1() );
const matrix<T,F,A> _m2 = m2;
return prod(m1, _m2 );
}
template<class T, class F, class A, class TRI, class L>
inline matrix<T,F,A> // prod( symmetric m1, symmetric m2 )
prod(symmetric_matrix<T, TRI, L, A> &m1, symmetric_matrix<T, TRI, L, A> &m2 )
{
#ifdef GSLDEBUG
std::cout << "\x1b[0;33mGSL [CSM, CM]\x1b[0;39m -> " << std::flush;
#endif
assert( m1.size1() == m2.size1() );
const matrix<T,F,A> _m1 = m1;
const matrix<T,F,A> _m2 = m2;
return prod(_m1, _m2 );
}
}}}
#endif // _GSL_BOOST_UBLAS_MATRIX_PROD_
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