summaryrefslogtreecommitdiffstats
path: root/src/armadillo/include/armadillo_bits/spop_vectorise_meat.hpp
blob: 567339012fcc405918fb1a5080eb64b05d6772fa (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
// 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 spop_vectorise
//! @{



template<typename T1>
inline
void
spop_vectorise_col::apply(SpMat<typename T1::elem_type>& out, const SpOp<T1, spop_vectorise_col>& in)
  {
  arma_extra_debug_sigprint();
  
  spop_vectorise_col::apply_direct(out, in.m);
  }



template<typename T1>
inline
void
spop_vectorise_col::apply_direct(SpMat<typename T1::elem_type>& out, const T1& expr)
  {
  arma_extra_debug_sigprint();
  
  typedef typename T1::elem_type eT;
  
  if(out.vec_state == 0)
    {
    out = expr;
    
    out.reshape(out.n_elem, 1);
    }
  else
    {
    SpMat<eT> tmp = expr;
    
    tmp.reshape(tmp.n_elem, 1);
    
    out.steal_mem(tmp);
    }
  }



template<typename T1>
inline
void
spop_vectorise_row::apply(SpMat<typename T1::elem_type>& out, const SpOp<T1, spop_vectorise_row>& in)
  {
  arma_extra_debug_sigprint();
  
  spop_vectorise_row::apply_direct(out, in.m);
  }



template<typename T1>
inline
void
spop_vectorise_row::apply_direct(SpMat<typename T1::elem_type>& out, const T1& expr)
  {
  arma_extra_debug_sigprint();
  
  typedef typename T1::elem_type eT;
  
  // NOTE: row-wise vectorisation of sparse matrices is not recommended due to the CSC storage format

  if(out.vec_state == 0)
    {
    out = strans(expr);
    
    out.reshape(1, out.n_elem);
    }
  else
    {
    SpMat<eT> tmp = strans(expr);
    
    tmp.reshape(1, tmp.n_elem);
    
    out.steal_mem(tmp);
    }
  }



template<typename T1>
inline
void
spop_vectorise_all::apply(SpMat<typename T1::elem_type>& out, const SpOp<T1, spop_vectorise_all>& in)
  {
  arma_extra_debug_sigprint();
  
  const uword dim = in.aux_uword_a;
  
  if(dim == 0)
    {
    spop_vectorise_col::apply_direct(out, in.m);
    }
  else
    {
    spop_vectorise_row::apply_direct(out, in.m);
    }
  }



//! @}