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dft_tools/triqs/arrays/blas_lapack/dot.hpp
Olivier Parcollet f2c7d449cc First commit : triqs libs version 1.0 alpha1
for earlier commits, see TRIQS0.x repository.
2013-07-17 19:24:07 +02:00

129 lines
5.9 KiB
C++

/*******************************************************************************
*
* TRIQS: a Toolbox for Research in Interacting Quantum Systems
*
* Copyright (C) 2012 by O. Parcollet
*
* TRIQS is free software: 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 3 of the License, or (at your option) any later
* version.
*
* TRIQS 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 General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along with
* TRIQS. If not, see <http://www.gnu.org/licenses/>.
*
******************************************************************************/
#ifndef TRIQS_ARRAYS_BLAS_LAPACK_DOT_H
#define TRIQS_ARRAYS_BLAS_LAPACK_DOT_H
#include "./tools.hpp"
//#include "./qcache.hpp"
namespace triqs { namespace arrays { namespace blas {
namespace f77 { // overload
extern "C" {
double TRIQS_FORTRAN_MANGLING(ddot)(const int & N, const double * x, const int& incx, const double * y, const int & incy);
double TRIQS_FORTRAN_MANGLING(zdotc)(const int & N, const std::complex<double> * x, const int& incx, const std::complex<double> * y, const int& incy);
double TRIQS_FORTRAN_MANGLING(zdotu)(const int & N, const std::complex<double> * x, const int& incx, const std::complex<double> * y, const int& incy);
}
inline double dot (const int & M, const double* x, const int & incx, const double* Y, const int & incy) {
return TRIQS_FORTRAN_MANGLING(ddot)(M, x, incx, Y, incy);
}
//inline std::complex<double> dot (const int & M, const std::complex<double>* x, const int & incx, const std::complex<double>* Y, const int & incy) {
// return TRIQS_FORTRAN_MANGLING(zdotu)(M, x, incx, Y, incy);
// }
}
template <typename VTX, typename VTY>
struct dispatch {
static constexpr bool are_both_value_view = is_amv_value_or_view_class<VTX>::value && is_amv_value_or_view_class<VTY>::value;
static constexpr bool are_both_double = std::is_same<typename VTX::value_type,double>::value && std::is_same<typename VTY::value_type,double>::value;
static constexpr int value = (are_both_value_view ? (are_both_double ? 0 : 1) : 2);
typedef decltype(std::declval<VTX>()(0)* std::declval<VTY>()(0)) result_type;
};
/**
* Calls dot product of 2 vectors.
* Takes care of making temporary copies if necessary
*/
template<bool Star, typename VTX, typename VTY>
typename std::enable_if< dispatch<VTX,VTY>::value==0, typename dispatch<VTX,VTY>::result_type>::type
dot (VTX const & X, VTY const & Y) {
//std::cerr << "dot : blas call"<< std::endl ;
static_assert( is_amv_value_or_view_class<VTX>::value, "blas1 bindings only take vector and vector_view");
static_assert( is_amv_value_or_view_class<VTY>::value, "blas1 bindings only take vector and vector_view");
if (( X.size() != Y.size()) ) TRIQS_RUNTIME_ERROR << "Dimension mismatch in dot size are : X : "<<X.size()<<" and Y : "<<Y.size();
//const_qcache<VTX> Cx(X); // mettre la condition a la main
//const_qcache<VTY> Cy(Y); // mettre la condition a la main
return f77::dot(X.size(), X.data_start(), X.stride(), Y.data_start(), Y.stride());
//return f77::dot(X.size(), Cx().data_start(), Cx().stride(), Cy().data_start(), Cy().stride());
}
template< bool Star, typename T>
typename std::enable_if<boost::is_complex<T>::value && Star,T>::type
_conj(T && x) { return conj(std::forward<T>(x));}
template< bool Star, typename T>
typename std::enable_if<!( boost::is_complex<T>::value && Star),T>::type
_conj(T && x) { return std::forward<T>(x);}
/**
* Calls dot product of 2 vectors.
* Takes care of making temporary copies if necessary
* general case. Also for complex since there is a bug on some machines (os X, weiss...) for zdotu, zdotc...
* a transcription from netlib zdotu
*/
template< bool Star, typename VTX, typename VTY>
typename std::enable_if< dispatch<VTX,VTY>::value==1, typename dispatch<VTX,VTY>::result_type>::type
dot (VTX const & X, VTY const & Y) {
//std::cerr << "dot: transcription of blas for non uniform type with restrict"<< std::endl ;
if (( X.size() != Y.size()) ) TRIQS_RUNTIME_ERROR << "Dimension mismatch in dot size are : X : "<<X.size()<<" and Y : "<<Y.size();
//const_qcache<VTX> Cx(X); // mettre la condition a la main
//const_qcache<VTY> Cy(Y); // mettre la condition a la main
size_t N= X.size(), incx = X.stride(), incy = Y.stride();
decltype(X(0)*Y(0)) res = 0;
// This only works for object with data (ISP), not only from the concept...
auto * restrict X_ = X.data_start();
auto * restrict Y_ = Y.data_start();
if ((incx==1) && (incy==1)) {
for (size_t i=0; i<N; ++i) res += _conj<Star>(X_[i]) * Y_[i];
}
else { // code for unequal increments or equal increments not equal to 1
for (size_t i=0, ix=0, iy=0; i<N; ++i, ix += incx, iy +=incy) {res += _conj<Star>(X_[ix]) * Y_[iy]; }
}
// general code for the concept. Is it really slower ? cf below
return res;
}
/**
* Generic case
*/
template< bool Star, typename VTX, typename VTY>
typename std::enable_if< dispatch<VTX,VTY>::value==2, typename dispatch<VTX,VTY>::result_type>::type
dot (VTX const & X, VTY const & Y) {
//std::cerr << "dot : generic case"<< std::endl ;
if (( X.size() != Y.size()) ) TRIQS_RUNTIME_ERROR << "Dimension mismatch in dot size are : X : "<<X.size()<<" and Y : "<<Y.size();
size_t N= X.size();
decltype(X(0)*Y(0)) res = 0;
for (size_t i=0; i<N; ++i) res += _conj<Star>(X(i)) * Y(i);
return res;
}
}
template <typename VTX,typename VTY> auto dot (VTX const & X, VTY const & Y) DECL_AND_RETURN( blas::dot<false>(X,Y));
template <typename VTX,typename VTY> auto dotc (VTX const & X, VTY const & Y) DECL_AND_RETURN( blas::dot<true>(X,Y));
}}// namespace
#endif