132 lines
3.2 KiB
C++
132 lines
3.2 KiB
C++
// 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 spop_normalise
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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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spop_normalise::apply(SpMat<typename T1::elem_type>& out, const SpOp<T1,spop_normalise>& expr)
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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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const uword p = expr.aux_uword_a;
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const uword dim = expr.aux_uword_b;
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arma_debug_check( (p == 0), "normalise(): parameter 'p' must be greater than zero" );
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arma_debug_check( (dim > 1), "normalise(): parameter 'dim' must be 0 or 1" );
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const unwrap_spmat<T1> U(expr.m);
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const SpMat<eT>& X = U.M;
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X.sync();
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if( X.is_empty() || (X.n_nonzero == 0) ) { out.zeros(X.n_rows, X.n_cols); return; }
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if(dim == 0)
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{
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spop_normalise::apply_direct(out, X, p);
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}
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else
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if(dim == 1)
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{
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SpMat<eT> tmp1;
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SpMat<eT> tmp2;
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spop_strans::apply_noalias(tmp1, X);
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spop_normalise::apply_direct(tmp2, tmp1, p);
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spop_strans::apply_noalias(out, tmp2);
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}
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}
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template<typename eT>
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inline
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void
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spop_normalise::apply_direct(SpMat<eT>& out, const SpMat<eT>& X, const uword p)
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{
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arma_extra_debug_sigprint();
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typedef typename get_pod_type<eT>::result T;
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SpMat<eT> tmp(arma_reserve_indicator(), X.n_rows, X.n_cols, X.n_nonzero);
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bool has_zero = false;
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podarray<T> norm_vals(X.n_cols);
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T* norm_vals_mem = norm_vals.memptr();
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for(uword col=0; col < X.n_cols; ++col)
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{
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const uword col_offset = X.col_ptrs[col ];
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const uword next_col_offset = X.col_ptrs[col + 1];
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const eT* start_ptr = &X.values[ col_offset];
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const eT* end_ptr = &X.values[next_col_offset];
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const uword n_elem = end_ptr - start_ptr;
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const Col<eT> fake_vec(const_cast<eT*>(start_ptr), n_elem, false, false);
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const T norm_val = norm(fake_vec, p);
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norm_vals_mem[col] = (norm_val != T(0)) ? norm_val : T(1);
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}
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const uword N = X.n_nonzero;
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typename SpMat<eT>::const_iterator it = X.begin();
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for(uword i=0; i < N; ++i)
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{
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const uword row = it.row();
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const uword col = it.col();
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const eT val = (*it) / norm_vals_mem[col];
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if(val == eT(0)) { has_zero = true; }
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access::rw(tmp.values[i]) = val;
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access::rw(tmp.row_indices[i]) = row;
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access::rw(tmp.col_ptrs[col + 1])++;
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++it;
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}
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for(uword c=0; c < tmp.n_cols; ++c)
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{
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access::rw(tmp.col_ptrs[c + 1]) += tmp.col_ptrs[c];
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}
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if(has_zero) { tmp.remove_zeros(); }
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out.steal_mem(tmp);
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}
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//! @}
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