140 lines
3.7 KiB
C++
140 lines
3.7 KiB
C++
// SPDX-License-Identifier: Apache-2.0
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//
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// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
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// Copyright 2008-2016 National ICT Australia (NICTA)
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// ------------------------------------------------------------------------
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//! \addtogroup op_sp_plus
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//! @{
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template<typename T1>
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inline
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void
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op_sp_plus::apply(Mat<typename T1::elem_type>& out, const SpToDOp<T1,op_sp_plus>& in)
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{
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arma_extra_debug_sigprint();
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// Note that T1 will be a sparse type, so we use SpProxy.
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const SpProxy<T1> proxy(in.m);
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out.set_size(proxy.get_n_rows(), proxy.get_n_cols());
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out.fill(in.aux);
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typename SpProxy<T1>::const_iterator_type it = proxy.begin();
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typename SpProxy<T1>::const_iterator_type it_end = proxy.end();
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for(; it != it_end; ++it)
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{
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out.at(it.row(), it.col()) += (*it);
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}
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}
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// force apply into sparse matrix
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template<typename T1>
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inline
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void
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op_sp_plus::apply(SpMat<typename T1::elem_type>& out, const SpToDOp<T1,op_sp_plus>& in)
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{
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arma_extra_debug_sigprint();
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typedef typename T1::elem_type eT;
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// Note that T1 will be a sparse type, so we use SpProxy.
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const SpProxy<T1> proxy(in.m);
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const uword n_rows = proxy.get_n_rows();
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const uword n_cols = proxy.get_n_cols();
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out.set_size(n_rows, n_cols);
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const eT k = in.aux;
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// We have to loop over all the elements.
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for(uword c = 0; c < n_cols; ++c)
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for(uword r = 0; r < n_rows; ++r)
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{
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out.at(r, c) = proxy.at(r, c) + k;
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}
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}
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// used for the optimization of sparse % (sparse + scalar)
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template<typename eT, typename T2, typename T3>
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inline
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void
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op_sp_plus::apply_inside_schur(SpMat<eT>& out, const T2& x, const SpToDOp<T3, op_sp_plus>& y)
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{
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arma_extra_debug_sigprint();
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const SpProxy<T2> proxy2(x);
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const SpProxy<T3> proxy3(y.m);
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arma_debug_assert_same_size(proxy2.get_n_rows(), proxy2.get_n_cols(), proxy3.get_n_rows(), proxy3.get_n_cols(), "element-wise multiplication");
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out.zeros(proxy2.get_n_rows(), proxy2.get_n_cols());
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typename SpProxy<T2>::const_iterator_type it = proxy2.begin();
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typename SpProxy<T2>::const_iterator_type it_end = proxy2.end();
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const eT k = y.aux;
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for(; it != it_end; ++it)
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{
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const uword it_row = it.row();
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const uword it_col = it.col();
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out.at(it_row, it_col) = (*it) * (proxy3.at(it_row, it_col) + k);
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}
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}
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// used for the optimization of sparse / (sparse + scalar)
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template<typename eT, typename T2, typename T3>
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inline
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void
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op_sp_plus::apply_inside_div(SpMat<eT>& out, const T2& x, const SpToDOp<T3, op_sp_plus>& y)
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{
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arma_extra_debug_sigprint();
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const SpProxy<T2> proxy2(x);
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const SpProxy<T3> proxy3(y.m);
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arma_debug_assert_same_size(proxy2.get_n_rows(), proxy2.get_n_cols(), proxy3.get_n_rows(), proxy3.get_n_cols(), "element-wise division");
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out.zeros(proxy2.get_n_rows(), proxy2.get_n_cols());
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typename SpProxy<T2>::const_iterator_type it = proxy2.begin();
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typename SpProxy<T2>::const_iterator_type it_end = proxy2.end();
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const eT k = y.aux;
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for(; it != it_end; ++it)
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{
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const uword it_row = it.row();
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const uword it_col = it.col();
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out.at(it_row, it_col) = (*it) / (proxy3.at(it_row, it_col) + k);
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}
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}
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//! @}
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