view armadillo-2.4.4/include/armadillo_bits/op_sum_meat.hpp @ 0:8b6102e2a9b0

Armadillo Library

// Copyright (C) 2008-2011 NICTA (www.nicta.com.au)
// Copyright (C) 2008-2011 Conrad Sanderson
// 
// This file is part of the Armadillo C++ library.
// It is provided without any warranty of fitness
// for any purpose. You can redistribute this file
// and/or modify it under the terms of the GNU
// Lesser General Public License (LGPL) as published
// by the Free Software Foundation, either version 3
// of the License or (at your option) any later version.
// (see http://www.opensource.org/licenses for more info)


//! \addtogroup op_sum
//! @{

//! \brief
//! Immediate sum of elements of a matrix along a specified dimension (either rows or columns).
//! The result is stored in a dense matrix that has either one column or one row.
//! See the sum() function for more details.
template<typename T1>
inline
void
op_sum::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_sum>& in)
  {
  arma_extra_debug_sigprint();
  
  const uword dim = in.aux_uword_a;
  arma_debug_check( (dim > 1), "sum(): incorrect usage. dim must be 0 or 1");
  
  typedef typename T1::elem_type eT;
  
  const unwrap_check<T1> tmp(in.m, out);
  const Mat<eT>& X     = tmp.M;
  
  const uword X_n_rows = X.n_rows;
  const uword X_n_cols = X.n_cols;
  
  if(dim == 0)  // traverse across rows (i.e. find the sum in each column)
    {
    out.set_size(1, X_n_cols);

    eT* out_mem = out.memptr();
    
    for(uword col=0; col<X_n_cols; ++col)
      {
      out_mem[col] = arrayops::accumulate(X.colptr(col), X_n_rows);
      }
    }
  else  // traverse across columns (i.e. find the sum in each row)
    {
    out.set_size(X_n_rows, 1);
    
    eT* out_mem = out.memptr();
      
    for(uword row=0; row<X_n_rows; ++row)
      {
      eT val = eT(0);
        
      for(uword col=0; col<X_n_cols; ++col)
        {
        val += X.at(row,col);
        }
      
      out_mem[row] = val;
      }
    }
  }



//! @}