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Diffstat (limited to 'src/armadillo/include/armadillo_bits/mul_syrk.hpp')
-rw-r--r-- | src/armadillo/include/armadillo_bits/mul_syrk.hpp | 501 |
1 files changed, 501 insertions, 0 deletions
diff --git a/src/armadillo/include/armadillo_bits/mul_syrk.hpp b/src/armadillo/include/armadillo_bits/mul_syrk.hpp new file mode 100644 index 0000000..c2da3a2 --- /dev/null +++ b/src/armadillo/include/armadillo_bits/mul_syrk.hpp @@ -0,0 +1,501 @@ +// SPDX-License-Identifier: Apache-2.0 +// +// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au) +// Copyright 2008-2016 National ICT Australia (NICTA) +// +// 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. +// ------------------------------------------------------------------------ + + +//! \addtogroup syrk +//! @{ + + + +class syrk_helper + { + public: + + template<typename eT> + inline + static + void + inplace_copy_upper_tri_to_lower_tri(Mat<eT>& C) + { + // under the assumption that C is a square matrix + + const uword N = C.n_rows; + + for(uword k=0; k < N; ++k) + { + eT* colmem = C.colptr(k); + + uword i, j; + for(i=(k+1), j=(k+2); j < N; i+=2, j+=2) + { + const eT tmp_i = C.at(k,i); + const eT tmp_j = C.at(k,j); + + colmem[i] = tmp_i; + colmem[j] = tmp_j; + } + + if(i < N) + { + colmem[i] = C.at(k,i); + } + } + } + }; + + + +//! partial emulation of BLAS function syrk(), specialised for A being a vector +template<const bool do_trans_A=false, const bool use_alpha=false, const bool use_beta=false> +class syrk_vec + { + public: + + template<typename eT, typename TA> + arma_hot + inline + static + void + apply + ( + Mat<eT>& C, + const TA& A, + const eT alpha = eT(1), + const eT beta = eT(0) + ) + { + arma_extra_debug_sigprint(); + + const uword A_n1 = (do_trans_A == false) ? A.n_rows : A.n_cols; + const uword A_n2 = (do_trans_A == false) ? A.n_cols : A.n_rows; + + const eT* A_mem = A.memptr(); + + if(A_n1 == 1) + { + const eT acc1 = op_dot::direct_dot(A_n2, A_mem, A_mem); + + if( (use_alpha == false) && (use_beta == false) ) { C[0] = acc1; } + else if( (use_alpha == true ) && (use_beta == false) ) { C[0] = alpha*acc1; } + else if( (use_alpha == false) && (use_beta == true ) ) { C[0] = acc1 + beta*C[0]; } + else if( (use_alpha == true ) && (use_beta == true ) ) { C[0] = alpha*acc1 + beta*C[0]; } + } + else + for(uword k=0; k < A_n1; ++k) + { + const eT A_k = A_mem[k]; + + uword i,j; + for(i=(k), j=(k+1); j < A_n1; i+=2, j+=2) + { + const eT acc1 = A_k * A_mem[i]; + const eT acc2 = A_k * A_mem[j]; + + if( (use_alpha == false) && (use_beta == false) ) + { + C.at(k, i) = acc1; + C.at(k, j) = acc2; + + C.at(i, k) = acc1; + C.at(j, k) = acc2; + } + else + if( (use_alpha == true ) && (use_beta == false) ) + { + const eT val1 = alpha*acc1; + const eT val2 = alpha*acc2; + + C.at(k, i) = val1; + C.at(k, j) = val2; + + C.at(i, k) = val1; + C.at(j, k) = val2; + } + else + if( (use_alpha == false) && (use_beta == true) ) + { + C.at(k, i) = acc1 + beta*C.at(k, i); + C.at(k, j) = acc2 + beta*C.at(k, j); + + if(i != k) { C.at(i, k) = acc1 + beta*C.at(i, k); } + C.at(j, k) = acc2 + beta*C.at(j, k); + } + else + if( (use_alpha == true ) && (use_beta == true) ) + { + const eT val1 = alpha*acc1; + const eT val2 = alpha*acc2; + + C.at(k, i) = val1 + beta*C.at(k, i); + C.at(k, j) = val2 + beta*C.at(k, j); + + if(i != k) { C.at(i, k) = val1 + beta*C.at(i, k); } + C.at(j, k) = val2 + beta*C.at(j, k); + } + } + + if(i < A_n1) + { + const eT acc1 = A_k * A_mem[i]; + + if( (use_alpha == false) && (use_beta == false) ) + { + C.at(k, i) = acc1; + C.at(i, k) = acc1; + } + else + if( (use_alpha == true) && (use_beta == false) ) + { + const eT val1 = alpha*acc1; + + C.at(k, i) = val1; + C.at(i, k) = val1; + } + else + if( (use_alpha == false) && (use_beta == true) ) + { + C.at(k, i) = acc1 + beta*C.at(k, i); + if(i != k) { C.at(i, k) = acc1 + beta*C.at(i, k); } + } + else + if( (use_alpha == true) && (use_beta == true) ) + { + const eT val1 = alpha*acc1; + + C.at(k, i) = val1 + beta*C.at(k, i); + if(i != k) { C.at(i, k) = val1 + beta*C.at(i, k); } + } + } + } + } + + }; + + + +//! partial emulation of BLAS function syrk() +template<const bool do_trans_A=false, const bool use_alpha=false, const bool use_beta=false> +class syrk_emul + { + public: + + template<typename eT, typename TA> + arma_hot + inline + static + void + apply + ( + Mat<eT>& C, + const TA& A, + const eT alpha = eT(1), + const eT beta = eT(0) + ) + { + arma_extra_debug_sigprint(); + + // do_trans_A == false -> C = alpha * A * A^T + beta*C + // do_trans_A == true -> C = alpha * A^T * A + beta*C + + if(do_trans_A == false) + { + Mat<eT> AA; + + op_strans::apply_mat_noalias(AA, A); + + syrk_emul<true, use_alpha, use_beta>::apply(C, AA, alpha, beta); + } + else + if(do_trans_A == true) + { + const uword A_n_rows = A.n_rows; + const uword A_n_cols = A.n_cols; + + 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 k=col_A; k < A_n_cols; ++k) + { + const eT acc = op_dot::direct_dot_arma(A_n_rows, A_coldata, A.colptr(k)); + + if( (use_alpha == false) && (use_beta == false) ) + { + C.at(col_A, k) = acc; + C.at(k, col_A) = acc; + } + else + if( (use_alpha == true ) && (use_beta == false) ) + { + const eT val = alpha*acc; + + C.at(col_A, k) = val; + C.at(k, col_A) = val; + } + else + if( (use_alpha == false) && (use_beta == true ) ) + { + C.at(col_A, k) = acc + beta*C.at(col_A, k); + if(col_A != k) { C.at(k, col_A) = acc + beta*C.at(k, col_A); } + } + else + if( (use_alpha == true ) && (use_beta == true ) ) + { + const eT val = alpha*acc; + + C.at(col_A, k) = val + beta*C.at(col_A, k); + if(col_A != k) { C.at(k, col_A) = val + beta*C.at(k, col_A); } + } + } + } + } + } + + }; + + + +template<const bool do_trans_A=false, const bool use_alpha=false, const bool use_beta=false> +class syrk + { + public: + + template<typename eT, typename TA> + inline + static + void + apply_blas_type( Mat<eT>& C, const TA& A, const eT alpha = eT(1), const eT beta = eT(0) ) + { + arma_extra_debug_sigprint(); + + if(A.is_vec()) + { + // work around poor handling of vectors by syrk() in standard BLAS + + syrk_vec<do_trans_A, use_alpha, use_beta>::apply(C,A,alpha,beta); + + return; + } + + const uword threshold = (is_cx<eT>::yes ? 16u : 48u); + + if( A.n_elem <= threshold ) + { + syrk_emul<do_trans_A, use_alpha, use_beta>::apply(C,A,alpha,beta); + } + else + { + #if defined(ARMA_USE_ATLAS) + { + if(use_beta == true) + { + // use a temporary matrix, as we can't assume that matrix C is already symmetric + Mat<eT> D(C.n_rows, C.n_cols, arma_nozeros_indicator()); + + syrk<do_trans_A, use_alpha, false>::apply_blas_type(D,A,alpha); + + // NOTE: assuming beta=1; this is okay for now, as currently glue_times only uses beta=1 + arrayops::inplace_plus(C.memptr(), D.memptr(), C.n_elem); + + return; + } + + atlas::cblas_syrk<eT> + ( + atlas_CblasColMajor, + atlas_CblasUpper, + (do_trans_A) ? atlas_CblasTrans : atlas_CblasNoTrans, + 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_cols, + (use_beta) ? beta : eT(0), + C.memptr(), + C.n_cols + ); + + syrk_helper::inplace_copy_upper_tri_to_lower_tri(C); + } + #elif defined(ARMA_USE_BLAS) + { + if(use_beta == true) + { + // use a temporary matrix, as we can't assume that matrix C is already symmetric + Mat<eT> D(C.n_rows, C.n_cols, arma_nozeros_indicator()); + + syrk<do_trans_A, use_alpha, false>::apply_blas_type(D,A,alpha); + + // NOTE: assuming beta=1; this is okay for now, as currently glue_times only uses beta=1 + arrayops::inplace_plus(C.memptr(), D.memptr(), C.n_elem); + + return; + } + + arma_extra_debug_print("blas::syrk()"); + + const char uplo = 'U'; + + const char trans_A = (do_trans_A) ? 'T' : 'N'; + + const blas_int n = blas_int(C.n_cols); + const blas_int k = (do_trans_A) ? blas_int(A.n_rows) : blas_int(A.n_cols); + + const eT local_alpha = (use_alpha) ? alpha : eT(1); + const eT local_beta = (use_beta) ? beta : eT(0); + + const blas_int lda = (do_trans_A) ? k : n; + + arma_extra_debug_print( arma_str::format("blas::syrk(): trans_A = %c") % trans_A ); + + blas::syrk<eT> + ( + &uplo, + &trans_A, + &n, + &k, + &local_alpha, + A.mem, + &lda, + &local_beta, + C.memptr(), + &n // &ldc + ); + + syrk_helper::inplace_copy_upper_tri_to_lower_tri(C); + } + #else + { + syrk_emul<do_trans_A, use_alpha, use_beta>::apply(C,A,alpha,beta); + } + #endif + } + } + + + + template<typename eT, typename TA> + inline + static + void + apply( Mat<eT>& C, const TA& A, const eT alpha = eT(1), const eT beta = eT(0) ) + { + if(is_cx<eT>::no) + { + if(A.is_vec()) + { + syrk_vec<do_trans_A, use_alpha, use_beta>::apply(C,A,alpha,beta); + } + else + { + syrk_emul<do_trans_A, use_alpha, use_beta>::apply(C,A,alpha,beta); + } + } + else + { + // handling of complex matrix by syrk_emul() is not yet implemented + return; + } + } + + + + template<typename TA> + arma_inline + static + void + apply + ( + Mat<float>& C, + const TA& A, + const float alpha = float(1), + const float beta = float(0) + ) + { + syrk<do_trans_A, use_alpha, use_beta>::apply_blas_type(C,A,alpha,beta); + } + + + + template<typename TA> + arma_inline + static + void + apply + ( + Mat<double>& C, + const TA& A, + const double alpha = double(1), + const double beta = double(0) + ) + { + syrk<do_trans_A, use_alpha, use_beta>::apply_blas_type(C,A,alpha,beta); + } + + + + template<typename TA> + arma_inline + static + void + apply + ( + Mat< std::complex<float> >& C, + const TA& A, + const std::complex<float> alpha = std::complex<float>(1), + const std::complex<float> beta = std::complex<float>(0) + ) + { + arma_ignore(C); + arma_ignore(A); + arma_ignore(alpha); + arma_ignore(beta); + + // handling of complex matrix by syrk() is not yet implemented + return; + } + + + + template<typename TA> + arma_inline + static + void + apply + ( + Mat< std::complex<double> >& C, + const TA& A, + const std::complex<double> alpha = std::complex<double>(1), + const std::complex<double> beta = std::complex<double>(0) + ) + { + arma_ignore(C); + arma_ignore(A); + arma_ignore(alpha); + arma_ignore(beta); + + // handling of complex matrix by syrk() is not yet implemented + return; + } + + }; + + + +//! @} |