Mercurial > hg > segmenter-vamp-plugin
diff armadillo-3.900.4/include/armadillo_bits/gemm.hpp @ 49:1ec0e2823891
Switch to using subrepo copies of qm-dsp, nnls-chroma, vamp-plugin-sdk; update Armadillo version; assume build without external BLAS/LAPACK
author | Chris Cannam |
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date | Thu, 13 Jun 2013 10:25:24 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/armadillo-3.900.4/include/armadillo_bits/gemm.hpp Thu Jun 13 10:25:24 2013 +0100 @@ -0,0 +1,532 @@ +// Copyright (C) 2008-2013 NICTA (www.nicta.com.au) +// Copyright (C) 2008-2013 Conrad Sanderson +// +// This Source Code Form is subject to the terms of the Mozilla Public +// License, v. 2.0. If a copy of the MPL was not distributed with this +// file, You can obtain one at http://mozilla.org/MPL/2.0/. + + +//! \addtogroup gemm +//! @{ + + + +//! for tiny square matrices, size <= 4x4 +template<const bool do_trans_A=false, const bool use_alpha=false, const bool use_beta=false> +class gemm_emul_tinysq + { + public: + + + template<typename eT, typename TA, typename TB> + arma_hot + inline + static + void + apply + ( + Mat<eT>& C, + const TA& A, + const TB& B, + const eT alpha = eT(1), + const eT beta = eT(0) + ) + { + arma_extra_debug_sigprint(); + + switch(A.n_rows) + { + case 4: + gemv_emul_tinysq<do_trans_A, use_alpha, use_beta>::apply( C.colptr(3), A, B.colptr(3), alpha, beta ); + + case 3: + gemv_emul_tinysq<do_trans_A, use_alpha, use_beta>::apply( C.colptr(2), A, B.colptr(2), alpha, beta ); + + case 2: + gemv_emul_tinysq<do_trans_A, use_alpha, use_beta>::apply( C.colptr(1), A, B.colptr(1), alpha, beta ); + + case 1: + gemv_emul_tinysq<do_trans_A, use_alpha, use_beta>::apply( C.colptr(0), A, B.colptr(0), alpha, beta ); + + default: + ; + } + } + + }; + + + +template<const bool do_trans_A=false, const bool do_trans_B=false, const bool use_alpha=false, const bool use_beta=false> +class gemm_emul_large + { + public: + + template<typename eT, typename TA, typename TB> + arma_hot + inline + static + void + apply + ( + Mat<eT>& C, + const TA& A, + const TB& B, + const eT alpha = eT(1), + const eT beta = eT(0) + ) + { + arma_extra_debug_sigprint(); + + const uword A_n_rows = A.n_rows; + const uword A_n_cols = A.n_cols; + + const uword B_n_rows = B.n_rows; + const uword B_n_cols = B.n_cols; + + if( (do_trans_A == false) && (do_trans_B == false) ) + { + arma_aligned podarray<eT> tmp(A_n_cols); + + eT* A_rowdata = tmp.memptr(); + + for(uword row_A=0; row_A < A_n_rows; ++row_A) + { + //tmp.copy_row(A, row_A); + const eT acc0 = op_dot::dot_and_copy_row(A_rowdata, A, row_A, B.colptr(0), A_n_cols); + + if( (use_alpha == false) && (use_beta == false) ) + { + C.at(row_A,0) = acc0; + } + else + if( (use_alpha == true) && (use_beta == false) ) + { + C.at(row_A,0) = alpha * acc0; + } + else + if( (use_alpha == false) && (use_beta == true) ) + { + C.at(row_A,0) = acc0 + beta*C.at(row_A,0); + } + else + if( (use_alpha == true) && (use_beta == true) ) + { + C.at(row_A,0) = alpha*acc0 + beta*C.at(row_A,0); + } + + //for(uword col_B=0; col_B < B_n_cols; ++col_B) + for(uword col_B=1; col_B < B_n_cols; ++col_B) + { + const eT acc = op_dot::direct_dot_arma(B_n_rows, A_rowdata, B.colptr(col_B)); + + if( (use_alpha == false) && (use_beta == false) ) + { + C.at(row_A,col_B) = acc; + } + else + if( (use_alpha == true) && (use_beta == false) ) + { + C.at(row_A,col_B) = alpha * acc; + } + else + if( (use_alpha == false) && (use_beta == true) ) + { + C.at(row_A,col_B) = acc + beta*C.at(row_A,col_B); + } + else + if( (use_alpha == true) && (use_beta == true) ) + { + C.at(row_A,col_B) = alpha*acc + beta*C.at(row_A,col_B); + } + + } + } + } + else + if( (do_trans_A == true) && (do_trans_B == false) ) + { + for(uword col_A=0; col_A < A_n_cols; ++col_A) + { + // col_A is interpreted as row_A when storing the results in matrix C + + const eT* A_coldata = A.colptr(col_A); + + for(uword col_B=0; col_B < B_n_cols; ++col_B) + { + const eT acc = op_dot::direct_dot_arma(B_n_rows, A_coldata, B.colptr(col_B)); + + if( (use_alpha == false) && (use_beta == false) ) + { + C.at(col_A,col_B) = acc; + } + else + if( (use_alpha == true) && (use_beta == false) ) + { + C.at(col_A,col_B) = alpha * acc; + } + else + if( (use_alpha == false) && (use_beta == true) ) + { + C.at(col_A,col_B) = acc + beta*C.at(col_A,col_B); + } + else + if( (use_alpha == true) && (use_beta == true) ) + { + C.at(col_A,col_B) = alpha*acc + beta*C.at(col_A,col_B); + } + + } + } + } + else + if( (do_trans_A == false) && (do_trans_B == true) ) + { + Mat<eT> BB; + op_strans::apply_noalias(BB, B); + + gemm_emul_large<false, false, use_alpha, use_beta>::apply(C, A, BB, alpha, beta); + } + else + if( (do_trans_A == true) && (do_trans_B == true) ) + { + // mat B_tmp = trans(B); + // dgemm_arma<true, false, use_alpha, use_beta>::apply(C, A, B_tmp, alpha, beta); + + + // By using the trans(A)*trans(B) = trans(B*A) equivalency, + // transpose operations are not needed + + arma_aligned podarray<eT> tmp(B.n_cols); + eT* B_rowdata = tmp.memptr(); + + for(uword row_B=0; row_B < B_n_rows; ++row_B) + { + tmp.copy_row(B, row_B); + + for(uword col_A=0; col_A < A_n_cols; ++col_A) + { + const eT acc = op_dot::direct_dot_arma(A_n_rows, B_rowdata, A.colptr(col_A)); + + if( (use_alpha == false) && (use_beta == false) ) + { + C.at(col_A,row_B) = acc; + } + else + if( (use_alpha == true) && (use_beta == false) ) + { + C.at(col_A,row_B) = alpha * acc; + } + else + if( (use_alpha == false) && (use_beta == true) ) + { + C.at(col_A,row_B) = acc + beta*C.at(col_A,row_B); + } + else + if( (use_alpha == true) && (use_beta == true) ) + { + C.at(col_A,row_B) = alpha*acc + beta*C.at(col_A,row_B); + } + + } + } + + } + } + + }; + + + +template<const bool do_trans_A=false, const bool do_trans_B=false, const bool use_alpha=false, const bool use_beta=false> +class gemm_emul + { + public: + + + template<typename eT, typename TA, typename TB> + arma_hot + inline + static + void + apply + ( + Mat<eT>& C, + const TA& A, + const TB& B, + const eT alpha = eT(1), + const eT beta = eT(0), + const typename arma_not_cx<eT>::result* junk = 0 + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + const uword A_n_rows = A.n_rows; + const uword A_n_cols = A.n_cols; + + const uword B_n_rows = B.n_rows; + const uword B_n_cols = B.n_cols; + + if( (A_n_rows <= 4) && (A_n_rows == A_n_cols) && (A_n_rows == B_n_rows) && (B_n_rows == B_n_cols) ) + { + if(do_trans_B == false) + { + gemm_emul_tinysq<do_trans_A, use_alpha, use_beta>::apply(C, A, B, alpha, beta); + } + else + { + Mat<eT> BB(A_n_rows, A_n_rows); + op_strans::apply_noalias_tinysq(BB, B); + + gemm_emul_tinysq<do_trans_A, use_alpha, use_beta>::apply(C, A, BB, alpha, beta); + } + } + else + { + gemm_emul_large<do_trans_A, do_trans_B, use_alpha, use_beta>::apply(C, A, B, alpha, beta); + } + } + + + + template<typename eT> + arma_hot + inline + static + void + apply + ( + Mat<eT>& C, + const Mat<eT>& A, + const Mat<eT>& B, + const eT alpha = eT(1), + const eT beta = eT(0), + const typename arma_cx_only<eT>::result* junk = 0 + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + // "better than nothing" handling of hermitian transposes for complex number matrices + + Mat<eT> tmp_A; + Mat<eT> tmp_B; + + if(do_trans_A) + { + op_htrans::apply_noalias(tmp_A, A); + } + + if(do_trans_B) + { + op_htrans::apply_noalias(tmp_B, B); + } + + const Mat<eT>& AA = (do_trans_A == false) ? A : tmp_A; + const Mat<eT>& BB = (do_trans_B == false) ? B : tmp_B; + + const uword A_n_rows = AA.n_rows; + const uword A_n_cols = AA.n_cols; + + const uword B_n_rows = BB.n_rows; + const uword B_n_cols = BB.n_cols; + + if( (A_n_rows <= 4) && (A_n_rows == A_n_cols) && (A_n_rows == B_n_rows) && (B_n_rows == B_n_cols) ) + { + gemm_emul_tinysq<false, use_alpha, use_beta>::apply(C, AA, BB, alpha, beta); + } + else + { + gemm_emul_large<false, false, use_alpha, use_beta>::apply(C, AA, BB, alpha, beta); + } + } + + }; + + + +//! \brief +//! Wrapper for ATLAS/BLAS dgemm function, using template arguments to control the arguments passed to dgemm. +//! Matrix 'C' is assumed to have been set to the correct size (i.e. taking into account transposes) + +template<const bool do_trans_A=false, const bool do_trans_B=false, const bool use_alpha=false, const bool use_beta=false> +class gemm + { + public: + + template<typename eT, typename TA, typename TB> + inline + static + void + apply_blas_type( Mat<eT>& C, const TA& A, const TB& B, const eT alpha = eT(1), const eT beta = eT(0) ) + { + arma_extra_debug_sigprint(); + + const uword threshold = (is_Mat_fixed<TA>::value && is_Mat_fixed<TB>::value) + ? (is_complex<eT>::value ? 16u : 64u) + : (is_complex<eT>::value ? 16u : 48u); + + if( (A.n_elem <= threshold) && (B.n_elem <= threshold) ) + { + gemm_emul<do_trans_A, do_trans_B, use_alpha, use_beta>::apply(C,A,B,alpha,beta); + } + else + { + #if defined(ARMA_USE_ATLAS) + { + arma_extra_debug_print("atlas::cblas_gemm()"); + + atlas::cblas_gemm<eT> + ( + atlas::CblasColMajor, + (do_trans_A) ? ( is_complex<eT>::value ? CblasConjTrans : atlas::CblasTrans ) : atlas::CblasNoTrans, + (do_trans_B) ? ( is_complex<eT>::value ? CblasConjTrans : atlas::CblasTrans ) : atlas::CblasNoTrans, + C.n_rows, + C.n_cols, + (do_trans_A) ? A.n_rows : A.n_cols, + (use_alpha) ? alpha : eT(1), + A.mem, + (do_trans_A) ? A.n_rows : C.n_rows, + B.mem, + (do_trans_B) ? C.n_cols : ( (do_trans_A) ? A.n_rows : A.n_cols ), + (use_beta) ? beta : eT(0), + C.memptr(), + C.n_rows + ); + } + #elif defined(ARMA_USE_BLAS) + { + arma_extra_debug_print("blas::gemm()"); + + const char trans_A = (do_trans_A) ? ( is_complex<eT>::value ? 'C' : 'T' ) : 'N'; + const char trans_B = (do_trans_B) ? ( is_complex<eT>::value ? 'C' : 'T' ) : 'N'; + + const blas_int m = C.n_rows; + const blas_int n = C.n_cols; + const blas_int k = (do_trans_A) ? A.n_rows : A.n_cols; + + const eT local_alpha = (use_alpha) ? alpha : eT(1); + + const blas_int lda = (do_trans_A) ? k : m; + const blas_int ldb = (do_trans_B) ? n : k; + + const eT local_beta = (use_beta) ? beta : eT(0); + + arma_extra_debug_print( arma_boost::format("blas::gemm(): trans_A = %c") % trans_A ); + arma_extra_debug_print( arma_boost::format("blas::gemm(): trans_B = %c") % trans_B ); + + blas::gemm<eT> + ( + &trans_A, + &trans_B, + &m, + &n, + &k, + &local_alpha, + A.mem, + &lda, + B.mem, + &ldb, + &local_beta, + C.memptr(), + &m + ); + } + #else + { + gemm_emul<do_trans_A, do_trans_B, use_alpha, use_beta>::apply(C,A,B,alpha,beta); + } + #endif + } + } + + + + //! immediate multiplication of matrices A and B, storing the result in C + template<typename eT, typename TA, typename TB> + inline + static + void + apply( Mat<eT>& C, const TA& A, const TB& B, const eT alpha = eT(1), const eT beta = eT(0) ) + { + gemm_emul<do_trans_A, do_trans_B, use_alpha, use_beta>::apply(C,A,B,alpha,beta); + } + + + + template<typename TA, typename TB> + arma_inline + static + void + apply + ( + Mat<float>& C, + const TA& A, + const TB& B, + const float alpha = float(1), + const float beta = float(0) + ) + { + gemm<do_trans_A, do_trans_B, use_alpha, use_beta>::apply_blas_type(C,A,B,alpha,beta); + } + + + + template<typename TA, typename TB> + arma_inline + static + void + apply + ( + Mat<double>& C, + const TA& A, + const TB& B, + const double alpha = double(1), + const double beta = double(0) + ) + { + gemm<do_trans_A, do_trans_B, use_alpha, use_beta>::apply_blas_type(C,A,B,alpha,beta); + } + + + + template<typename TA, typename TB> + arma_inline + static + void + apply + ( + Mat< std::complex<float> >& C, + const TA& A, + const TB& B, + const std::complex<float> alpha = std::complex<float>(1), + const std::complex<float> beta = std::complex<float>(0) + ) + { + gemm<do_trans_A, do_trans_B, use_alpha, use_beta>::apply_blas_type(C,A,B,alpha,beta); + } + + + + template<typename TA, typename TB> + arma_inline + static + void + apply + ( + Mat< std::complex<double> >& C, + const TA& A, + const TB& B, + const std::complex<double> alpha = std::complex<double>(1), + const std::complex<double> beta = std::complex<double>(0) + ) + { + gemm<do_trans_A, do_trans_B, use_alpha, use_beta>::apply_blas_type(C,A,B,alpha,beta); + } + + }; + + + +//! @}