Chris@49: // Copyright (C) 2008-2013 NICTA (www.nicta.com.au) Chris@49: // Copyright (C) 2008-2013 Conrad Sanderson Chris@49: // Chris@49: // This Source Code Form is subject to the terms of the Mozilla Public Chris@49: // License, v. 2.0. If a copy of the MPL was not distributed with this Chris@49: // file, You can obtain one at http://mozilla.org/MPL/2.0/. Chris@49: Chris@49: Chris@49: //! \addtogroup op_sum Chris@49: //! @{ Chris@49: Chris@49: //! \brief Chris@49: //! Immediate sum of elements of a matrix along a specified dimension (either rows or columns). Chris@49: //! The result is stored in a dense matrix that has either one column or one row. Chris@49: //! See the sum() function for more details. Chris@49: template Chris@49: arma_hot Chris@49: inline Chris@49: void Chris@49: op_sum::apply(Mat& out, const Op& in) Chris@49: { Chris@49: arma_extra_debug_sigprint(); Chris@49: Chris@49: typedef typename T1::elem_type eT; Chris@49: Chris@49: const uword dim = in.aux_uword_a; Chris@49: arma_debug_check( (dim > 1), "sum(): incorrect usage. dim must be 0 or 1"); Chris@49: Chris@49: const Proxy P(in.m); Chris@49: Chris@49: typedef typename Proxy::stored_type P_stored_type; Chris@49: Chris@49: const bool is_alias = P.is_alias(out); Chris@49: Chris@49: if( (is_Mat::value == true) || is_alias ) Chris@49: { Chris@49: const unwrap_check tmp(P.Q, is_alias); Chris@49: Chris@49: const typename unwrap_check::stored_type& X = tmp.M; Chris@49: Chris@49: const uword X_n_rows = X.n_rows; Chris@49: const uword X_n_cols = X.n_cols; Chris@49: Chris@49: if(dim == 0) // traverse across rows (i.e. find the sum in each column) Chris@49: { Chris@49: out.set_size(1, X_n_cols); Chris@49: Chris@49: eT* out_mem = out.memptr(); Chris@49: Chris@49: for(uword col=0; col < X_n_cols; ++col) Chris@49: { Chris@49: out_mem[col] = arrayops::accumulate( X.colptr(col), X_n_rows ); Chris@49: } Chris@49: } Chris@49: else // traverse across columns (i.e. find the sum in each row) Chris@49: { Chris@49: out.set_size(X_n_rows, 1); Chris@49: Chris@49: eT* out_mem = out.memptr(); Chris@49: Chris@49: for(uword row=0; row < X_n_rows; ++row) Chris@49: { Chris@49: eT val = eT(0); Chris@49: Chris@49: uword i,j; Chris@49: for(i=0, j=1; j < X_n_cols; i+=2, j+=2) Chris@49: { Chris@49: val += X.at(row,i); Chris@49: val += X.at(row,j); Chris@49: } Chris@49: Chris@49: if(i < X_n_cols) Chris@49: { Chris@49: val += X.at(row,i); Chris@49: } Chris@49: Chris@49: out_mem[row] = val; Chris@49: } Chris@49: } Chris@49: } Chris@49: else Chris@49: { Chris@49: const uword P_n_rows = P.get_n_rows(); Chris@49: const uword P_n_cols = P.get_n_cols(); Chris@49: Chris@49: if(dim == 0) // traverse across rows (i.e. find the sum in each column) Chris@49: { Chris@49: out.set_size(1, P_n_cols); Chris@49: Chris@49: eT* out_mem = out.memptr(); Chris@49: Chris@49: for(uword col=0; col < P_n_cols; ++col) Chris@49: { Chris@49: eT val = eT(0); Chris@49: Chris@49: uword i,j; Chris@49: for(i=0, j=1; j < P_n_rows; i+=2, j+=2) Chris@49: { Chris@49: val += P.at(i,col); Chris@49: val += P.at(j,col); Chris@49: } Chris@49: Chris@49: if(i < P_n_rows) Chris@49: { Chris@49: val += P.at(i,col); Chris@49: } Chris@49: Chris@49: out_mem[col] = val; Chris@49: } Chris@49: } Chris@49: else // traverse across columns (i.e. find the sum in each row) Chris@49: { Chris@49: out.set_size(P_n_rows, 1); Chris@49: Chris@49: eT* out_mem = out.memptr(); Chris@49: Chris@49: for(uword row=0; row < P_n_rows; ++row) Chris@49: { Chris@49: eT val = eT(0); Chris@49: Chris@49: uword i,j; Chris@49: for(i=0, j=1; j < P_n_cols; i+=2, j+=2) Chris@49: { Chris@49: val += P.at(row,i); Chris@49: val += P.at(row,j); Chris@49: } Chris@49: Chris@49: if(i < P_n_cols) Chris@49: { Chris@49: val += P.at(row,i); Chris@49: } Chris@49: Chris@49: out_mem[row] = val; Chris@49: } Chris@49: } Chris@49: } Chris@49: } Chris@49: Chris@49: Chris@49: Chris@49: //! @}