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