Mercurial > hg > segmenter-vamp-plugin
diff armadillo-3.900.4/include/armadillo_bits/op_stddev_meat.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 |
---|---|
date | Thu, 13 Jun 2013 10:25:24 +0100 |
parents | |
children |
line wrap: on
line diff
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/armadillo-3.900.4/include/armadillo_bits/op_stddev_meat.hpp Thu Jun 13 10:25:24 2013 +0100 @@ -0,0 +1,80 @@ +// Copyright (C) 2009-2011 NICTA (www.nicta.com.au) +// Copyright (C) 2009-2011 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 op_stddev +//! @{ + + +//! \brief +//! For each row or for each column, find the standard deviation. +//! The result is stored in a dense matrix that has either one column or one row. +//! The dimension for which the standard deviations are found is set via the stddev() function. +template<typename T1> +inline +void +op_stddev::apply(Mat<typename T1::pod_type>& out, const mtOp<typename T1::pod_type, T1, op_stddev>& in) + { + arma_extra_debug_sigprint(); + + typedef typename T1::elem_type in_eT; + typedef typename T1::pod_type out_eT; + + const unwrap_check_mixed<T1> tmp(in.m, out); + const Mat<in_eT>& X = tmp.M; + + const uword norm_type = in.aux_uword_a; + const uword dim = in.aux_uword_b; + + arma_debug_check( (norm_type > 1), "stddev(): incorrect usage. norm_type must be 0 or 1"); + arma_debug_check( (dim > 1), "stddev(): incorrect usage. dim must be 0 or 1" ); + + const uword X_n_rows = X.n_rows; + const uword X_n_cols = X.n_cols; + + if(dim == 0) + { + arma_extra_debug_print("op_stddev::apply(), dim = 0"); + + arma_debug_check( (X_n_rows == 0), "stddev(): given object has zero rows" ); + + out.set_size(1, X_n_cols); + + out_eT* out_mem = out.memptr(); + + for(uword col=0; col<X_n_cols; ++col) + { + out_mem[col] = std::sqrt( op_var::direct_var( X.colptr(col), X_n_rows, norm_type ) ); + } + } + else + if(dim == 1) + { + arma_extra_debug_print("op_stddev::apply(), dim = 1"); + + arma_debug_check( (X_n_cols == 0), "stddev(): given object has zero columns" ); + + out.set_size(X_n_rows, 1); + + podarray<in_eT> dat(X_n_cols); + + in_eT* dat_mem = dat.memptr(); + out_eT* out_mem = out.memptr(); + + for(uword row=0; row<X_n_rows; ++row) + { + dat.copy_row(X, row); + + out_mem[row] = std::sqrt( op_var::direct_var( dat_mem, X_n_cols, norm_type) ); + } + } + } + + + +//! @} +