mirror of
https://github.com/triqs/dft_tools
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137 lines
6.7 KiB
C++
137 lines
6.7 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_GEMM_H
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#define TRIQS_ARRAYS_BLAS_LAPACK_GEMM_H
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#include <complex>
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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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using namespace blas_lapack_tools;
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namespace f77 { // overload
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extern "C" {
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void TRIQS_FORTRAN_MANGLING(dgemm) (char *, char *, const int & , const int & , const int & , const double &,
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const double[], const int &, const double[], const int &, const double &, double[], const int & );
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void TRIQS_FORTRAN_MANGLING(zgemm) (char *, char *, const int & , const int & , const int & , const std::complex<double> &,
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const std::complex<double>[], const int &, const std::complex<double>[], const int &, const std::complex<double> &, std::complex<double>[], const int & );
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}
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inline void gemm (char trans_a, char trans_b, const int & M, const int & N, const int & K, const double & alpha,
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const double* A, const int & LDA, const double* B, const int & LDB, const double & beta, double* C, const int & LDC) {
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TRIQS_FORTRAN_MANGLING(dgemm)(&trans_a,&trans_b,M,N,K,alpha, A, LDA, B, LDB, beta, C, LDC);
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}
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typedef std::complex<double> dcomplex;
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inline void gemm (char trans_a, char trans_b, const int & M, const int & N, const int & K, const dcomplex & alpha,
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const dcomplex* A, const int & LDA, const dcomplex* B, const int & LDB, const dcomplex & beta, dcomplex* C, const int & LDC) {
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TRIQS_FORTRAN_MANGLING(zgemm)(&trans_a,&trans_b,M,N,K,alpha, A, LDA, B, LDB, beta, C, LDC);
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}
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}
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template<typename MT1, typename MT2, typename MTOut>
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struct use_blas_gemm {
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static_assert(is_amv_value_or_view_class<MTOut>::value, "output of matrix product must be a matrix or matrix_view");
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//static constexpr bool are_both_value_view = is_amv_value_or_view_class<MT1>::value && is_amv_value_or_view_class<MT2>::value;
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//static constexpr bool value = are_both_value_view && is_blas_lapack_type<typename MT1::value_type>::value && have_same_value_type< MT1, MT2, MTOut>::value;
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static constexpr bool value = is_blas_lapack_type<typename MT1::value_type>::value && have_same_value_type< MT1, MT2, MTOut>::value;
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// if inverse_lazy e.g. it is ok, we will use a cache anyway....
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};
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/**
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* Calls gemm on a matrix or view
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* Takes care of making temporary copies if necessary
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*/
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template<typename MT1, typename MT2, typename MTOut>
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typename std::enable_if< use_blas_gemm<MT1,MT2,MTOut>::value >::type
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gemm (typename MT1::value_type alpha, MT1 const & A, MT2 const & B, typename MT1::value_type beta, MTOut & C) {
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//std::cerr << "gemm: blas call "<< std::endl ;
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// first resize if necessary and possible
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resize_or_check_if_view(C,make_shape(A.dim0(),B.dim1()));
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// now we use qcache instead of the matrix to make a copy if necessary ...
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// not optimal : if stride == 1, N ---> use LDA parameters
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// change the condition in the qcache construction....
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reflexive_qcache<MTOut> Cc(C);
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if (C.memory_layout_is_c()) {
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// then tC = tB tA !
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const_qcache<MT1> Cb(A); // note the inversion A <-> B
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const_qcache<MT2> Ca(B); // note the inversion A <-> B
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if (!(Ca().dim0() == Cb().dim1())) TRIQS_RUNTIME_ERROR << "Dimension mismatch in gemm : A : "<< Ca().shape() <<" while B : "<<Cb().shape();
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char trans_a= get_trans(Ca(), true);
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char trans_b= get_trans(Cb(), true);
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int m = (trans_a == 'N' ? get_n_rows(Ca()) : get_n_cols(Ca()));
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int n = (trans_b == 'N' ? get_n_cols(Cb()) : get_n_rows(Cb()));
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int k = (trans_a == 'N' ? get_n_cols(Ca()) : get_n_rows(Ca()));
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//std::cerr<< " about to call GEMM"<< std::endl ;
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//std::cerr<< "A = "<< Ca().shape()<< Ca()<< std::endl;
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//std::cerr<< "B = "<< Cb().shape()<< Cb()<< std::endl;
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//std::cerr<< "C c" << Cc().shape() << Cc().indexmap().strides() << std::endl;
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//std::cerr<<Ca().memory_layout_is_c() <<Ca().memory_layout_is_fortran()<<std::endl;
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//std::cerr<< get_n_rows(Ca())<<get_n_cols(Cb())<<get_n_cols(Ca()) << std::endl ;
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f77::gemm(trans_a,trans_b,m,n,k,
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alpha, Ca().data_start(), get_ld(Ca()) , Cb().data_start(), get_ld(Cb()), beta, Cc().data_start(), get_ld(Cc()));
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//std::cerr << " gemm ok "<< std::endl ;
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}
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else {
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const_qcache<MT1> Ca(A);
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const_qcache<MT2> Cb(B);
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if (!(Ca().dim1() == Cb().dim0())) TRIQS_RUNTIME_ERROR << "Dimension mismatch in gemm : A : "<< Ca().shape() <<" while B : "<<Cb().shape();
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char trans_a= get_trans(Ca(), false);
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char trans_b= get_trans(Cb(), false);
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int m = (trans_a == 'N' ? get_n_rows(Ca()) : get_n_cols(Ca()));
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int n = (trans_b == 'N' ? get_n_cols(Cb()) : get_n_rows(Cb()));
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int k = (trans_a == 'N' ? get_n_cols(Ca()) : get_n_rows(Ca()));
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f77::gemm(trans_a,trans_b,m,n,k,
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alpha, Ca().data_start(), get_ld(Ca()) , Cb().data_start(), get_ld(Cb()), beta, Cc().data_start(), get_ld(Cc()));
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}
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}
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// make the generic version for non lapack types or more complex types
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// largely suboptimal
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template<typename MT1, typename MT2, typename MTOut>
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void gemm_generic (typename MT1::value_type alpha, MT1 const & A, MT2 const & B, typename MT1::value_type beta, MTOut & C) {
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//std::cerr << "gemm: generic call "<< std::endl ;
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// first resize if necessary and possible
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resize_or_check_if_view(C,make_shape(A.dim0(),B.dim1()));
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if (A.dim1() != B.dim0()) TRIQS_RUNTIME_ERROR << "gemm generic : dimension mismatch "<< A.shape() << B.shape();
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C() = 0;
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for (int i=0; i<A.dim0(); ++i)
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for (int k=0; k<A.dim1(); ++k)
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for (int j=0; j<B.dim1(); ++j)
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C(i,j) += A(i,k)*B(k,j);
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}
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// generic version for non lapack
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template<typename MT1, typename MT2, typename MTOut>
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typename std::enable_if< !use_blas_gemm<MT1,MT2,MTOut>::value >::type
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gemm (typename MT1::value_type alpha, MT1 const & A, MT2 const & B, typename MT1::value_type beta, MTOut & C) {
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gemm_generic(alpha,A,B,beta,C);
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}
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}}}// namespace
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#endif
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