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// SPDX-License-Identifier: Apache-2.0
//
// 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 op_normalise
//! @{
template<typename T1>
inline
void
op_normalise_vec::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_normalise_vec>& in)
{
arma_extra_debug_sigprint();
typedef typename T1::elem_type eT;
typedef typename T1::pod_type T;
const uword p = in.aux_uword_a;
arma_debug_check( (p == 0), "normalise(): unsupported vector norm type" );
const quasi_unwrap<T1> U(in.m);
const T norm_val_a = norm(U.M, p);
const T norm_val_b = (norm_val_a != T(0)) ? norm_val_a : T(1);
if(quasi_unwrap<T1>::has_subview && U.is_alias(out))
{
Mat<eT> tmp = U.M / norm_val_b;
out.steal_mem(tmp);
}
else
{
out = U.M / norm_val_b;
}
}
template<typename T1>
inline
void
op_normalise_mat::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_normalise_mat>& in)
{
arma_extra_debug_sigprint();
typedef typename T1::elem_type eT;
const uword p = in.aux_uword_a;
const uword dim = in.aux_uword_b;
arma_debug_check( (p == 0), "normalise(): unsupported vector norm type" );
arma_debug_check( (dim > 1), "normalise(): parameter 'dim' must be 0 or 1" );
const quasi_unwrap<T1> U(in.m);
if(quasi_unwrap<T1>::has_subview && U.is_alias(out))
{
Mat<eT> out2;
op_normalise_mat::apply(out2, U.M, p, dim);
out.steal_mem(out2);
}
else
{
op_normalise_mat::apply(out, U.M, p, dim);
}
}
template<typename eT>
inline
void
op_normalise_mat::apply(Mat<eT>& out, const Mat<eT>& A, const uword p, const uword dim)
{
arma_extra_debug_sigprint();
typedef typename get_pod_type<eT>::result T;
out.copy_size(A);
if(A.n_elem == 0) { return; }
if(dim == 0)
{
const uword n_cols = A.n_cols;
for(uword i=0; i<n_cols; ++i)
{
const T norm_val_a = norm(A.col(i), p);
const T norm_val_b = (norm_val_a != T(0)) ? norm_val_a : T(1);
out.col(i) = A.col(i) / norm_val_b;
}
}
else
{
const uword n_rows = A.n_rows;
const uword n_cols = A.n_cols;
podarray<T> norm_vals(n_rows);
T* norm_vals_mem = norm_vals.memptr();
for(uword i=0; i<n_rows; ++i)
{
const T norm_val = norm(A.row(i), p);
norm_vals_mem[i] = (norm_val != T(0)) ? norm_val : T(1);
}
const eT* A_mem = A.memptr();
eT* out_mem = out.memptr();
for(uword col=0; col < n_cols; ++col)
for(uword row=0; row < n_rows; ++row)
{
(*out_mem) = (*A_mem) / norm_vals_mem[row];
A_mem++;
out_mem++;
}
}
}
//! @}
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