// 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 Gen //! @{ template arma_inline Gen::Gen(const uword in_n_rows, const uword in_n_cols) : n_rows(in_n_rows) , n_cols(in_n_cols) { arma_extra_debug_sigprint(); } template arma_inline Gen::~Gen() { arma_extra_debug_sigprint(); } template arma_inline typename T1::elem_type Gen::operator[](const uword ii) const { typedef typename T1::elem_type eT; if(is_same_type::yes) { return ((ii % n_rows) == (ii / n_rows)) ? eT(1) : eT(0); } else { return (*this).generate(); } } template arma_inline typename T1::elem_type Gen::at(const uword row, const uword col) const { typedef typename T1::elem_type eT; if(is_same_type::yes) { return (row == col) ? eT(1) : eT(0); } else { return (*this).generate(); } } template arma_inline typename T1::elem_type Gen::at_alt(const uword ii) const { return operator[](ii); } template inline void Gen::apply(Mat& out) const { arma_extra_debug_sigprint(); // NOTE: we're assuming that the matrix has already been set to the correct size; // this is done by either the Mat contructor or operator=() if(is_same_type::yes) { out.eye(); } else if(is_same_type::yes) { out.ones(); } else if(is_same_type::yes) { out.zeros(); } else if(is_same_type::yes) { out.randu(); } else if(is_same_type::yes) { out.randn(); } } template inline void Gen::apply_inplace_plus(Mat& out) const { arma_extra_debug_sigprint(); arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "addition"); typedef typename T1::elem_type eT; if(is_same_type::yes) { const uword N = (std::min)(n_rows, n_cols); for(uword iq=0; iq < N; ++iq) { out.at(iq,iq) += eT(1); } } else { eT* out_mem = out.memptr(); const uword n_elem = out.n_elem; uword iq,jq; for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2) { const eT tmp_i = (*this).generate(); const eT tmp_j = (*this).generate(); out_mem[iq] += tmp_i; out_mem[jq] += tmp_j; } if(iq < n_elem) { out_mem[iq] += (*this).generate(); } } } template inline void Gen::apply_inplace_minus(Mat& out) const { arma_extra_debug_sigprint(); arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "subtraction"); typedef typename T1::elem_type eT; if(is_same_type::yes) { const uword N = (std::min)(n_rows, n_cols); for(uword iq=0; iq < N; ++iq) { out.at(iq,iq) -= eT(1); } } else { eT* out_mem = out.memptr(); const uword n_elem = out.n_elem; uword iq,jq; for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2) { const eT tmp_i = (*this).generate(); const eT tmp_j = (*this).generate(); out_mem[iq] -= tmp_i; out_mem[jq] -= tmp_j; } if(iq < n_elem) { out_mem[iq] -= (*this).generate(); } } } template inline void Gen::apply_inplace_schur(Mat& out) const { arma_extra_debug_sigprint(); arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "element-wise multiplication"); typedef typename T1::elem_type eT; if(is_same_type::yes) { const uword N = (std::min)(n_rows, n_cols); for(uword iq=0; iq < N; ++iq) { for(uword row=0; row < iq; ++row) { out.at(row,iq) = eT(0); } for(uword row=iq+1; row < n_rows; ++row) { out.at(row,iq) = eT(0); } } } else { eT* out_mem = out.memptr(); const uword n_elem = out.n_elem; uword iq,jq; for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2) { const eT tmp_i = (*this).generate(); const eT tmp_j = (*this).generate(); out_mem[iq] *= tmp_i; out_mem[jq] *= tmp_j; } if(iq < n_elem) { out_mem[iq] *= (*this).generate(); } } } template inline void Gen::apply_inplace_div(Mat& out) const { arma_extra_debug_sigprint(); arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "element-wise division"); typedef typename T1::elem_type eT; if(is_same_type::yes) { const uword N = (std::min)(n_rows, n_cols); for(uword iq=0; iq < N; ++iq) { const eT zero = eT(0); for(uword row=0; row < iq; ++row) { out.at(row,iq) /= zero; } for(uword row=iq+1; row < n_rows; ++row) { out.at(row,iq) /= zero; } } } else { eT* out_mem = out.memptr(); const uword n_elem = out.n_elem; uword iq,jq; for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2) { const eT tmp_i = (*this).generate(); const eT tmp_j = (*this).generate(); out_mem[iq] /= tmp_i; out_mem[jq] /= tmp_j; } if(iq < n_elem) { out_mem[iq] /= (*this).generate(); } } } template inline void Gen::apply(subview& out) const { arma_extra_debug_sigprint(); // NOTE: we're assuming that the submatrix has the same dimensions as the Gen object // this is checked by subview::operator=() if(is_same_type::yes) { out.eye(); } else if(is_same_type::yes) { out.ones(); } else if(is_same_type::yes) { out.zeros(); } else if(is_same_type::yes) { out.randu(); } else if(is_same_type::yes) { out.randn(); } } //! @}