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48 Commits
Author SHA1 Message Date
conrad 7334664999 patch bump 2026-03-15 18:42:19 +10:00
conrad f021766215 speedups for blank sparse submatrices 2026-03-15 17:33:41 +10:00
conrad 5491a20833 simplifications 2026-03-13 12:16:51 +10:00
conrad 1cab3be4df simplifications 2026-03-13 11:52:44 +10:00
conrad 08e1cb5211 specialisation for subview::zeros() 2026-03-13 11:33:39 +10:00
conrad 70c45a2f17 workarounds for ASAN false positives 2026-03-12 18:21:38 +10:00
conrad 2dfed59b94 simplifications 2026-03-12 15:57:37 +10:00
conrad 8bf7834041 simplifications 2026-03-12 15:48:04 +10:00
conrad 1461d33045 simplifications 2026-03-12 15:32:54 +10:00
conrad e05bc82e7b speedups for empty subcubes 2026-03-12 15:30:34 +10:00
conrad 9201e8ddd0 speedups for empty cubes 2026-03-12 15:23:18 +10:00
conrad 30dd62780b speedups for empty cubes 2026-03-12 12:21:15 +10:00
conrad 5dd6c665a5 speedups for empty cubes 2026-03-12 11:55:26 +10:00
conrad 2e6b4ed0a3 speedups for empty cubes 2026-03-11 17:09:31 +10:00
conrad 08c0647e54 speedups for empty matrices 2026-03-11 16:55:26 +10:00
conrad ff7f5d63e6 speedups for empty matrices 2026-03-11 15:12:59 +10:00
conrad 2288ec1497 remove superfluous comments 2026-03-11 15:12:32 +10:00
conrad 1df5fc83b7 speedups for blank sparse matrices 2026-03-10 15:58:00 +10:00
conrad 81df0a1f93 simplifications 2026-03-10 15:51:02 +10:00
conrad bceaf09865 speedups for blank sparse submatrices 2026-03-10 13:14:08 +10:00
conrad 3992546579 speedups for blank sparse submatrices 2026-03-10 12:31:16 +10:00
conrad 602f6217e0 speedups for blank sparse submatrices 2026-03-10 12:01:54 +10:00
conrad 449e6f682f speedups for blank sparse matrices 2026-03-10 11:51:20 +10:00
conrad 03df540096 fix error message 2026-03-09 13:29:19 +10:00
conrad b21700fc85 check if sizes are the same 2026-03-09 13:25:32 +10:00
conrad 02438fff53 speedups for blank sparse submatrices 2026-03-09 13:17:36 +10:00
conrad 451d5d2cec speedups for empty submatrices 2026-03-05 15:50:01 +10:00
conrad 534f135ef5 speedups for empty submatrices 2026-03-04 15:32:54 +10:00
conrad 8bd0d6692a speedups for empty subcubes 2026-03-04 15:24:34 +10:00
conrad ad1bed2686 speedups for empty submatrices 2026-02-28 14:11:47 +10:00
conrad 36e3d67a28 speedups for empty submatrices 2026-02-27 13:35:17 +10:00
conrad e3db651df7 speedup for empty submatrices 2026-02-27 13:07:40 +10:00
conrad fa52e3f5ef speedup for empty subcubes 2026-02-25 13:11:14 +10:00
conrad e6b06b21da speedup for empty matrices 2026-02-23 17:04:55 +10:00
conrad 252708e389 get pointer to first element via dedicated function 2026-02-20 13:17:43 +10:00
conrad 4b468f5009 simplifications 2026-02-20 10:47:28 +10:00
conrad 1244651dda simpler wording 2026-02-11 17:26:57 +10:00
conrad e4b96542b3 improve docs for .col_as_mat() and .row_as_mat() 2026-02-10 12:22:25 +10:00
conrad 5701dd07a8 avoid potentially confusing debug message 2026-02-05 15:21:14 +10:00
conrad bdc89797cd improved wording 2026-02-03 12:15:10 +10:00
conrad 2110b7d82c improved wording and layout 2026-02-03 11:53:05 +10:00
conrad 3bcfde3238 avoid repetition 2026-02-02 16:51:23 +10:00
conrad 3495f87581 better wording 2026-02-02 16:49:09 +10:00
conrad 8a24c0d724 expand fill types 2026-02-02 13:33:39 +10:00
conrad ec75a6107c expand docs for .fill() with notes on element initialisation during construction 2026-01-30 13:29:45 +10:00
conrad 450e1ba8a5 use explicit initialisation 2026-01-29 13:39:36 +10:00
conrad a0dcf97054 use explicit initialisation 2026-01-28 17:11:43 +10:00
conrad cd96c0d9e2 update paper 2026-01-02 12:25:10 +10:00
23 changed files with 1013 additions and 493 deletions
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+66 -25
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@@ -254,8 +254,9 @@ Conrad Sanderson and Ryan Curtin.
<tr><td><a href="#Col">Col&lt;<i>type</i>&gt;, colvec, vec</a></td><td>&nbsp;</td><td>dense column vector class</td></tr>
<tr><td><a href="#Row">Row&lt;<i>type</i>&gt;, rowvec</a></td><td>&nbsp;</td><td>dense row vector class</td></tr>
<tr><td>&nbsp;</td><td>&nbsp;</td><td>&nbsp;</td></tr>
<tr><td><a href="#Cube">Cube&lt;<i>type</i>&gt;, cube, cx_cube</a></td><td>&nbsp;</td><td>dense cube class ("3D matrix")</td></tr>
<tr><td><a href="#Cube">Cube&lt;<i>type</i>&gt;, cube, cx_cube</a></td><td>&nbsp;</td><td>dense cube class (quasi third-order tensor, aka "3D matrix")</td></tr>
<tr><td><a href="#field">field&lt;<i>object&nbsp;type</i>&gt;</a></td><td>&nbsp;</td><td>class for storing arbitrary objects in matrix-like or cube-like layouts</td></tr>
<tr><td>&nbsp;</td><td>&nbsp;</td><td>&nbsp;</td></tr>
<tr><td><a href="#SpMat">SpMat&lt;<i>type</i>&gt;, sp_mat, sp_cx_mat</a></td><td>&nbsp;</td><td>sparse matrix class</td></tr>
<tr><td>&nbsp;</td><td>&nbsp;</td><td>&nbsp;</td></tr>
<tr><td><a href="#operators">operators</a></td><td>&nbsp;</td><td><code><big>+</big>&nbsp; <big>&minus;</big>&nbsp; <big>*</big>&nbsp; %&nbsp; /&nbsp; ==&nbsp; !=&nbsp; &lt;=&nbsp; &gt;=&nbsp; &lt;&nbsp; &gt;&nbsp; &amp;&amp;&nbsp; ||</code></td></tr>
@@ -760,6 +761,8 @@ Functions which use LAPACK (generally matrix decompositions) are only valid for
<a name="constructors_mat"></a>
<li>
Constructors:
<br>
<br>
<ul>
<table>
<tbody>
@@ -784,22 +787,27 @@ Constructors:
<li>
Matrix elements can be explicitly initialised during construction by specifying <i>fill_form</i>,
which is one of:
<br>
<br>
<ul>
<table>
<tbody>
<tr><td><code>fill::zeros</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 0</td></tr>
<tr><td><code>fill::ones</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 1</td></tr>
<tr><td><code>fill::eye</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set the elements on the main diagonal to 1 and off-diagonal elements to 0</td></tr>
<tr><td><code>fill::randu</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to random values from a uniform distribution in the [0,1] interval</td></tr>
<tr><td><code>fill::randn</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to random values from a normal/Gaussian distribution with zero mean and unit variance</td></tr>
<tr><td><code>fill::value(scalar)</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to specified scalar</td></tr>
<tr><td><code>fill::none</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>do not initialise the elements &nbsp; (matrix may have garbage values)</td></tr>
<tr><td><code>fill::zeros</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 0 &nbsp; (default operation)</td></tr>
<tr><td><code>fill::ones</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 1</td></tr>
<!-- <tr><td><code>fill::nan</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to NaN</td></tr> -->
<!-- <tr><td><code>fill::pos_inf</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to +infinity</td></tr> -->
<!-- <tr><td><code>fill::neg_inf</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to -infinity</td></tr> -->
<tr><td><code>fill::value(scalar)</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to the specified scalar</td></tr>
<tr><td><code>fill::eye</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set elements on the main diagonal to 1 and off-diagonal elements to 0</td></tr>
<tr><td><code>fill::randu</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set elements to random values from a uniform distribution in the [0,1] interval</td></tr>
<tr><td><code>fill::randn</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set elements to random values from a normal/Gaussian distribution with mean&thinsp;=&thinsp;0 and variance&thinsp;=&thinsp;1</td></tr>
</tbody>
</table>
</ul>
</li>
<br>
<li>Default element initialisation is <code>fill::zeros</code> (since Armadillo 10.5)</li>
<li>If <i>fill_form</i> is not specified, <i>fill::zeros</i> is used by default (since Armadillo 10.5)</li>
<br>
<li>
For the <i>mat(string)</i> constructor, the format is elements separated by spaces, and rows denoted by semicolons;
@@ -1154,6 +1162,8 @@ main exceptions are functions which require square matrices
<br>
<li>
Constructors:
<br>
<br>
<ul>
<table>
<tbody>
@@ -1426,6 +1436,8 @@ main exceptions are functions which require square matrices
<br>
<li>
Constructors:
<br>
<br>
<ul>
<table>
<tbody>
@@ -1552,11 +1564,11 @@ rowvec z = A.row(5); // extract a row vector
<br><b>cx_cube</b>
<ul>
<li>
Classes for cubes (quasi 3rd order tensors), also known as "3D matrices"
Classes for cubes (quasi third-order tensors, aka "3D matrices")
</li>
<br>
<li>
Data is stored as a set of slices (matrices) stored contiguously within memory;
Data is stored as an ordered set of slices (matrices) placed contiguously within memory;
within each slice, elements are stored with column-major ordering (ie. column by column)
</li>
<br>
@@ -1704,6 +1716,8 @@ it is possible to use other types instead, eg. <i>fcube</i>
<a name="constructors_cube"></a>
<li>
Constructors:
<br>
<br>
<ul>
<table>
<tbody>
@@ -1722,21 +1736,26 @@ Constructors:
<li>
Cube elements can be explicitly initialised during construction by specifying <i>fill_form</i>,
which is one of:
<br>
<br>
<ul>
<table>
<tbody>
<tr><td><code>fill::zeros</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 0</td></tr>
<tr><td><code>fill::ones</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 1</td></tr>
<tr><td><code>fill::randu</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to random values from a uniform distribution in the [0,1] interval</td></tr>
<tr><td><code>fill::randn</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to random values from a normal/Gaussian distribution with zero mean and unit variance</td></tr>
<tr><td><code>fill::value(scalar)</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to specified scalar</td></tr>
<tr><td><code>fill::none</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>do not initialise the elements &nbsp; (cube may have garbage values)</td></tr>
<tr><td><code>fill::zeros</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 0 &nbsp; (default operation)</td></tr>
<tr><td><code>fill::ones</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to 1</td></tr>
<!-- <tr><td><code>fill::nan</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to NaN</td></tr> -->
<!-- <tr><td><code>fill::pos_inf</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to +infinity</td></tr> -->
<!-- <tr><td><code>fill::neg_inf</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to -infinity</td></tr> -->
<tr><td><code>fill::value(scalar)</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set all elements to the specified scalar</td></tr>
<tr><td><code>fill::randu</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set elements to random values from a uniform distribution in the [0,1] interval</td></tr>
<tr><td><code>fill::randn</code></td><td>&nbsp;&mapsto;&nbsp;</td><td>set elements to random values from a normal/Gaussian distribution with mean&thinsp;=&thinsp;0 and variance&thinsp;=&thinsp;1</td></tr>
</tbody>
</table>
</ul>
</li>
<br>
<li>Default element initialisation is <code>fill::zeros</code> (since Armadillo 10.5)</li>
<li>If <i>fill_form</i> is not specified, <i>fill::zeros</i> is used by default (since Armadillo 10.5)</li>
<br>
<li>
Each instance of <i>cube</i> automatically allocates and releases internal memory.
@@ -1872,6 +1891,8 @@ Each element can have an arbitrary size (eg. in a field of matrices, each matrix
<br>
<li>
Constructors, where <i>object_type</i> is another class, eg. <i>vec</i>, <i>mat</i>, <i>std::string</i>, etc:
<br>
<br>
<ul>
<table>
<tbody>
@@ -1898,6 +1919,7 @@ mat A = randn(2,3);
mat B = randn(4,5);
field&lt;mat&gt; F(2,1);
F(0,0) = A;
F(1,0) = B;
@@ -2072,6 +2094,8 @@ it is possible to use other types instead, eg. <i>sp_fmat</i>
<a name="constructors_sp_mat"></a>
<li>
Constructors:
<br>
<br>
<ul>
<table>
<tbody>
@@ -2109,6 +2133,8 @@ for small matrices use the <a href="#Mat">Mat</a> class, even if most of the ele
<li>
<a name="batch_constructors_sp_mat"></a>
Batch insertion constructors:
<br>
<br>
<ul>
<li>form&nbsp;1: <code>sp_mat(<i>locations</i>, <i>values</i>, <i>sort_locations&thinsp;=&thinsp;true</i>)</code></li>
<li>form&nbsp;2: <code>sp_mat(<i>locations</i>, <i>values</i>, <i>n_rows</i>, <i>n_cols</i>, <i>sort_locations&thinsp;=&thinsp;true</i>, <i>check_for_zeros&thinsp;=&thinsp;true</i>)</code></li>
@@ -2162,6 +2188,8 @@ If <i>check_for_zeros</i> is set to <i>false</i>, the <i>values</i> vector is as
<br>
<li>
The following subset of operations &amp; functions is available for sparse matrices:
<br>
<br>
<ul>
<li>fundamental arithmetic <a href="#operators">operations</a> (such as addition and multiplication)</li>
<li><a href="#submat">submatrix views</a>: most contiguous forms and the non-contiguous form of <i>X.cols(vector_of_column_indices)</i></li>
@@ -2941,6 +2969,7 @@ C.eye();
<li>See also:
<ul>
<li><a href="#ones_member">.ones()</a></li>
<li><a href="#fill">.fill()</a></li>
<li><a href="#diag">.diag()</a></li>
<li><a href="#diagmat">diagmat()</a></li>
<li><a href="#diagvec">diagvec()</a></li>
@@ -3099,7 +3128,7 @@ See also:
Member function of <i>Mat</i>, <i>Col</i>, <i>Row</i>, <i>Cube</i>, <i>field</i>
</li>
<br>
<li>Sets the elements to a specified value</li>
<li>Sets all elements to a specified value</li>
<br>
<li>The type of value must match the type of elements used by the container object (eg. for <i>mat</i> the type is <i>double</i>)
</li>
@@ -3110,29 +3139,38 @@ Examples:
<pre>
mat A(5, 6);
A.fill(123.0); // or: mat A(5, 6, fill::value(123.0));
A.fill(123.0);
</pre>
</ul>
</li>
<br>
<li>
<b>Note:</b> to set all elements to zero during matrix construction, use the following more compact form:
<b>Caveats:</b>
<ul>
<li>To initialise all elements during matrix construction, it is more efficient to use a <i><a href="#Mat">fill_form</a></i>:
<ul>
<pre>
mat A(5, 6, fill::zeros);
mat B(5, 6, fill::ones);
mat C(5, 6, fill::value(123.0));
</pre>
</ul>
</li>
<li>If <i>fill_form</i> is not specified, <i>fill::zeros</i> is used by default (since Armadillo 10.5)</li>
</ul>
</li>
<br>
<li>
See also:
<ul>
<li><a href="#imbue">.imbue()</a></li>
<li><a href="#ones_member">.ones()</a></li>
<li><a href="#zeros_member">.zeros()</a></li>
<li><a href="#ones_member">.ones()</a></li>
<li><a href="#eye_member">.eye()</a></li>
<li><a href="#randu_randn_member">.randu() &amp; .randn()</a></li>
<li><a href="#replace">.replace()</a></li>
<li><a href="#constants">constants (pi, nan, inf, ...)</a></li>
<li><a href="#Mat">matrix constructors</a></li>
</ul>
</li>
<br>
@@ -4080,8 +4118,8 @@ Instances of <i>span(a,b)</i> can be replaced by:
</li>
<br>
<li>
An individual slice, accessed via <i>.slice()</i>, is an instance of the <i>Mat</i> class
(a reference to a matrix is provided)
A single slice, accessed via <i>.slice(slice_number)</i>, is an instance of the <i>Mat</i> class (a reference to a matrix is provided);
<br>see also <i>.<a href="#col_row_as_mat">col_as_mat()</a></i> and <i>.<a href="#col_row_as_mat">row_as_mat()</a></i>
</li>
<br>
<li>
@@ -5814,6 +5852,7 @@ Examples:
<ul>
<pre>
mat X(4, 5, fill::randu);
vec v = X.as_col();
</pre>
</ul>
@@ -5867,9 +5906,11 @@ Examples:
<pre>
cube Q(5, 4, 3, fill::randu);
mat A = Q.col_as_mat(2); // size of A: 5x3
mat A = Q.slice(2); // size of A: 5x4
mat B = Q.row_as_mat(2); // size of B: 3x4
mat B = Q.col_as_mat(2); // size of B: 5x3
mat C = Q.row_as_mat(2); // size of C: 3x4
</pre>
</ul>
</li>
@@ -18436,7 +18477,7 @@ An instance of the class has the following member functions:
</td>
<td style="vertical-align: top;">
return the number of seconds since the last call to <code>.tic()</code>,
with the returned number of seconds reduced by any freeze/unfreeze durations
with the number of seconds reduced by any freeze/unfreeze durations
</td>
</tr>
<tr>
+4
View File
@@ -1344,6 +1344,10 @@ Col<eT>::fixed<fixed_n_elem>::fixed(const fill::fill_class<fill_type>&)
if(is_same_type<fill_type, fill::fill_eye >::yes) { Mat<eT>::eye(); }
if(is_same_type<fill_type, fill::fill_randu>::yes) { Mat<eT>::randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { Mat<eT>::randn(); }
if(is_same_type<fill_type, fill::fill_nan >::yes) { (*this).fill( priv::Datum_helper::nan <eT>() ); }
if(is_same_type<fill_type, fill::fill_pos_inf>::yes) { (*this).fill( priv::Datum_helper::pos_inf<eT>() ); }
if(is_same_type<fill_type, fill::fill_neg_inf>::yes) { (*this).fill( priv::Datum_helper::neg_inf<eT>() ); }
}
+3
View File
@@ -360,6 +360,9 @@ class Cube : public BaseCube< eT, Cube<eT> >
inline Cube& fill(const eT val);
template<typename fill_type>
inline Cube& fill(const fill::fill_class<fill_type>& f);
inline Cube& zeros();
inline Cube& zeros(const uword new_n_rows, const uword new_n_cols, const uword new_n_slices);
inline Cube& zeros(const SizeCube& s);
+41 -32
View File
@@ -52,7 +52,7 @@ Cube<eT>::Cube()
, n_elem(0)
, n_alloc(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
}
@@ -172,7 +172,7 @@ Cube<eT>::Cube(const SizeCube& s, const arma_initmode_indicator<do_zeros>&)
template<typename eT>
template<typename fill_type>
inline
Cube<eT>::Cube(const uword in_n_rows, const uword in_n_cols, const uword in_n_slices, const fill::fill_class<fill_type>&)
Cube<eT>::Cube(const uword in_n_rows, const uword in_n_cols, const uword in_n_slices, const fill::fill_class<fill_type>& f)
: n_rows(in_n_rows)
, n_cols(in_n_cols)
, n_elem_slice(in_n_rows*in_n_cols)
@@ -186,12 +186,7 @@ Cube<eT>::Cube(const uword in_n_rows, const uword in_n_cols, const uword in_n_sl
init_cold();
if(is_same_type<fill_type, fill::fill_zeros>::yes) { (*this).zeros(); }
if(is_same_type<fill_type, fill::fill_ones >::yes) { (*this).ones(); }
if(is_same_type<fill_type, fill::fill_randu>::yes) { (*this).randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { (*this).randn(); }
arma_static_check( (is_same_type<fill_type, fill::fill_eye>::yes), "Cube::Cube(): unsupported fill type" );
(*this).fill(f);
}
@@ -199,7 +194,7 @@ Cube<eT>::Cube(const uword in_n_rows, const uword in_n_cols, const uword in_n_sl
template<typename eT>
template<typename fill_type>
inline
Cube<eT>::Cube(const SizeCube& s, const fill::fill_class<fill_type>&)
Cube<eT>::Cube(const SizeCube& s, const fill::fill_class<fill_type>& f)
: n_rows(s.n_rows)
, n_cols(s.n_cols)
, n_elem_slice(s.n_rows*s.n_cols)
@@ -213,12 +208,7 @@ Cube<eT>::Cube(const SizeCube& s, const fill::fill_class<fill_type>&)
init_cold();
if(is_same_type<fill_type, fill::fill_zeros>::yes) { (*this).zeros(); }
if(is_same_type<fill_type, fill::fill_ones >::yes) { (*this).ones(); }
if(is_same_type<fill_type, fill::fill_randu>::yes) { (*this).randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { (*this).randn(); }
arma_static_check( (is_same_type<fill_type, fill::fill_eye>::yes), "Cube::Cube(): unsupported fill type" );
(*this).fill(f);
}
@@ -934,7 +924,7 @@ Cube<eT>::Cube
, n_elem(0)
, n_alloc(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -1064,7 +1054,7 @@ Cube<eT>::Cube(const subview_cube_slices<eT,T1>& X)
, n_elem(0)
, n_alloc(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2751,7 +2741,7 @@ Cube<eT>::Cube(const OpCube<T1, op_type>& X)
, n_elem(0)
, n_alloc(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -3048,7 +3038,7 @@ Cube<eT>::Cube(const mtOpCube<eT, T1, op_type>& X)
, n_elem(0)
, n_alloc(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -3144,7 +3134,7 @@ Cube<eT>::Cube(const GlueCube<T1, T2, glue_type>& X)
, n_elem(0)
, n_alloc(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -3401,7 +3391,7 @@ Cube<eT>::Cube(const mtGlueCube<eT, T1, T2, glue_type>& X)
, n_elem(0)
, n_alloc(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -3887,7 +3877,7 @@ arma_inline
eT*
Cube<eT>::slice_memptr(const uword uslice)
{
return const_cast<eT*>( &mem[ uslice*n_elem_slice ] );
return access::rwp( mem + (uslice*n_elem_slice) );
}
@@ -3898,7 +3888,7 @@ arma_inline
const eT*
Cube<eT>::slice_memptr(const uword uslice) const
{
return &mem[ uslice*n_elem_slice ];
return mem + (uslice*n_elem_slice);
}
@@ -3909,7 +3899,7 @@ arma_inline
eT*
Cube<eT>::slice_colptr(const uword uslice, const uword col)
{
return const_cast<eT*>( &mem[ uslice*n_elem_slice + col*n_rows] );
return access::rwp( mem + (uslice*n_elem_slice + col*n_rows) );
}
@@ -3920,7 +3910,7 @@ arma_inline
const eT*
Cube<eT>::slice_colptr(const uword uslice, const uword col) const
{
return &mem[ uslice*n_elem_slice + col*n_rows ];
return mem + (uslice*n_elem_slice + col*n_rows);
}
@@ -4227,6 +4217,30 @@ Cube<eT>::fill(const eT val)
template<typename eT>
template<typename fill_type>
inline
Cube<eT>&
Cube<eT>::fill(const fill::fill_class<fill_type>&)
{
arma_debug_sigprint();
arma_static_check( (is_same_type<fill_type, fill::fill_eye>::yes), "Cube::fill(): unsupported fill type" );
if(is_same_type<fill_type, fill::fill_zeros>::yes) { (*this).zeros(); }
if(is_same_type<fill_type, fill::fill_ones >::yes) { (*this).ones(); }
if(is_same_type<fill_type, fill::fill_randu>::yes) { (*this).randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { (*this).randn(); }
if(is_same_type<fill_type, fill::fill_nan >::yes) { (*this).fill( priv::Datum_helper::nan <eT>() ); }
if(is_same_type<fill_type, fill::fill_pos_inf>::yes) { (*this).fill( priv::Datum_helper::pos_inf<eT>() ); }
if(is_same_type<fill_type, fill::fill_neg_inf>::yes) { (*this).fill( priv::Datum_helper::neg_inf<eT>() ); }
return *this;
}
template<typename eT>
inline
Cube<eT>&
@@ -5458,18 +5472,13 @@ template<typename eT>
template<uword fixed_n_rows, uword fixed_n_cols, uword fixed_n_slices>
template<typename fill_type>
inline
Cube<eT>::fixed<fixed_n_rows, fixed_n_cols, fixed_n_slices>::fixed(const fill::fill_class<fill_type>&)
Cube<eT>::fixed<fixed_n_rows, fixed_n_cols, fixed_n_slices>::fixed(const fill::fill_class<fill_type>& f)
{
arma_debug_sigprint_this(this);
mem_setup();
if(is_same_type<fill_type, fill::fill_zeros>::yes) { Cube<eT>::zeros(); }
if(is_same_type<fill_type, fill::fill_ones >::yes) { Cube<eT>::ones(); }
if(is_same_type<fill_type, fill::fill_randu>::yes) { Cube<eT>::randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { Cube<eT>::randn(); }
arma_static_check( (is_same_type<fill_type, fill::fill_eye>::yes), "Cube::fixed::fixed(): unsupported fill type" );
(*this).fill(f);
}
+60 -48
View File
@@ -255,7 +255,7 @@ Mat<eT>::Mat(const arma_vec_indicator&, const uhword in_vec_state)
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
}
@@ -456,7 +456,7 @@ Mat<eT>::Mat(const char* text)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -490,7 +490,7 @@ Mat<eT>::Mat(const std::string& text)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -678,7 +678,7 @@ Mat<eT>::Mat(const std::initializer_list<eT>& list)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -710,7 +710,7 @@ Mat<eT>::Mat(const std::initializer_list< std::initializer_list<eT> >& list)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -877,7 +877,7 @@ Mat<eT>::Mat(const Mat<eT>& in_mat, const arma_vec_indicator&, const uhword in_v
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint(arma_str::format("this: %x; in_mat: %x") % this % &in_mat);
@@ -1512,7 +1512,7 @@ Mat<eT>::Mat(const BaseCube<eT,T1>& X, const arma_vec_indicator&, const uhword i
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -1531,7 +1531,7 @@ Mat<eT>::Mat(const BaseCube<eT,T1>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -1978,7 +1978,7 @@ Mat<eT>::Mat(const Base<typename Mat<eT>::pod_type,T1>& A, const Base<typename M
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -1998,7 +1998,7 @@ Mat<eT>::Mat(const Base<typename Mat<eT>::pod_type,T1>& A, const Base<typename M
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2043,7 +2043,7 @@ Mat<eT>::Mat(const subview<eT>& X, const arma_vec_indicator&, const uhword in_ve
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2266,7 +2266,7 @@ Mat<eT>::Mat(const subview_cube<eT>& x, const arma_vec_indicator&, const uhword
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2285,7 +2285,7 @@ Mat<eT>::Mat(const subview_cube<eT>& x)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2395,7 +2395,7 @@ Mat<eT>::Mat(const diagview<eT>& X, const arma_vec_indicator&, const uhword in_v
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2540,7 +2540,7 @@ Mat<eT>::Mat(const subview_elem1<eT,T1>& X, const arma_vec_indicator&, const uhw
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2559,7 +2559,7 @@ Mat<eT>::Mat(const subview_elem1<eT,T1>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2668,7 +2668,7 @@ Mat<eT>::Mat(const subview_elem2<eT,T1,T2>& X, const arma_vec_indicator&, const
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2687,7 +2687,7 @@ Mat<eT>::Mat(const subview_elem2<eT,T1,T2>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2796,7 +2796,7 @@ Mat<eT>::Mat(const SpBase<eT, T1>& m, const arma_vec_indicator&, const uhword in
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2815,7 +2815,7 @@ Mat<eT>::Mat(const SpBase<eT, T1>& m)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -2876,6 +2876,8 @@ Mat<eT>::operator+=(const SpBase<eT, T1>& m)
arma_conform_assert_same_size(n_rows, n_cols, p.get_n_rows(), p.get_n_cols(), "addition");
if(p.get_n_nonzero() == 0) { return *this; }
typename SpProxy<T1>::const_iterator_type it = p.begin();
typename SpProxy<T1>::const_iterator_type it_end = p.end();
@@ -2898,6 +2900,8 @@ Mat<eT>::operator-=(const SpBase<eT, T1>& m)
arma_conform_assert_same_size(n_rows, n_cols, p.get_n_rows(), p.get_n_cols(), "subtraction");
if(p.get_n_nonzero() == 0) { return *this; }
typename SpProxy<T1>::const_iterator_type it = p.begin();
typename SpProxy<T1>::const_iterator_type it_end = p.end();
@@ -2916,9 +2920,9 @@ Mat<eT>::operator*=(const SpBase<eT, T1>& m)
{
arma_debug_sigprint();
Mat<eT> z = (*this) * m.get_ref();
Mat<eT> tmp = (*this) * m.get_ref();
steal_mem(z);
steal_mem(tmp);
return *this;
}
@@ -2999,7 +3003,7 @@ Mat<eT>::Mat(const SpSubview<eT>& X, const arma_vec_indicator&, const uhword in_
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -3017,7 +3021,7 @@ Mat<eT>::Mat(const SpSubview<eT>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -3200,7 +3204,7 @@ Mat<eT>::Mat(const spdiagview<eT>& X, const arma_vec_indicator&, const uhword in
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5128,7 +5132,7 @@ Mat<eT>::Mat(const Gen<T1, gen_type>& X, const arma_vec_indicator&, const uhword
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5278,7 +5282,7 @@ Mat<eT>::Mat(const Op<T1, op_type>& X, const arma_vec_indicator&, const uhword i
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5300,7 +5304,7 @@ Mat<eT>::Mat(const Op<T1, op_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5429,7 +5433,7 @@ Mat<eT>::Mat(const eOp<T1, eop_type>& X, const arma_vec_indicator&, const uhword
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5657,7 +5661,7 @@ Mat<eT>::Mat(const mtOp<eT, T1, op_type>& X, const arma_vec_indicator&, const uh
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5676,7 +5680,7 @@ Mat<eT>::Mat(const mtOp<eT, T1, op_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5785,7 +5789,7 @@ Mat<eT>::Mat(const CubeToMatOp<T1, op_type>& X, const arma_vec_indicator&, const
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5806,7 +5810,7 @@ Mat<eT>::Mat(const CubeToMatOp<T1, op_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5929,7 +5933,7 @@ Mat<eT>::Mat(const SpToDOp<T1, op_type>& X, const arma_vec_indicator&, const uhw
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -5950,7 +5954,7 @@ Mat<eT>::Mat(const SpToDOp<T1, op_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6079,7 +6083,7 @@ Mat<eT>::Mat(const mtSpReduceOp<eT, T1, op_type>& X, const arma_vec_indicator&,
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6098,7 +6102,7 @@ Mat<eT>::Mat(const mtSpReduceOp<eT, T1, op_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6207,7 +6211,7 @@ Mat<eT>::Mat(const Glue<T1, T2, glue_type>& X, const arma_vec_indicator&, const
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6230,7 +6234,7 @@ Mat<eT>::Mat(const Glue<T1, T2, glue_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6396,7 +6400,7 @@ Mat<eT>::Mat(const eGlue<T1, T2, eglue_type>& X, const arma_vec_indicator&, cons
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6603,7 +6607,7 @@ Mat<eT>::Mat(const mtGlue<eT, T1, T2, glue_type>& X, const arma_vec_indicator&,
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6622,7 +6626,7 @@ Mat<eT>::Mat(const mtGlue<eT, T1, T2, glue_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6733,7 +6737,7 @@ Mat<eT>::Mat(const SpToDGlue<T1, T2, glue_type>& X, const arma_vec_indicator&, c
, n_alloc(0)
, vec_state(in_vec_state)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -6755,7 +6759,7 @@ Mat<eT>::Mat(const SpToDGlue<T1, T2, glue_type>& X)
, n_alloc(0)
, vec_state(0)
, mem_state(0)
, mem()
, mem(nullptr)
{
arma_debug_sigprint_this(this);
@@ -7475,7 +7479,7 @@ arma_inline
eT*
Mat<eT>::colptr(const uword in_col)
{
return & access::rw(mem[in_col*n_rows]);
return access::rwp( mem + (in_col*n_rows) );
}
@@ -7486,7 +7490,7 @@ arma_inline
const eT*
Mat<eT>::colptr(const uword in_col) const
{
return & mem[in_col*n_rows];
return mem + (in_col*n_rows);
}
@@ -7926,6 +7930,10 @@ Mat<eT>::fill(const fill::fill_class<fill_type>&)
if(is_same_type<fill_type, fill::fill_randu>::yes) { (*this).randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { (*this).randn(); }
if(is_same_type<fill_type, fill::fill_nan >::yes) { (*this).fill( priv::Datum_helper::nan <eT>() ); }
if(is_same_type<fill_type, fill::fill_pos_inf>::yes) { (*this).fill( priv::Datum_helper::pos_inf<eT>() ); }
if(is_same_type<fill_type, fill::fill_neg_inf>::yes) { (*this).fill( priv::Datum_helper::neg_inf<eT>() ); }
return *this;
}
@@ -10099,6 +10107,10 @@ Mat<eT>::fixed<fixed_n_rows, fixed_n_cols>::fixed(const fill::fill_class<fill_ty
if(is_same_type<fill_type, fill::fill_eye >::yes) { Mat<eT>::eye(); }
if(is_same_type<fill_type, fill::fill_randu>::yes) { Mat<eT>::randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { Mat<eT>::randn(); }
if(is_same_type<fill_type, fill::fill_nan >::yes) { (*this).fill( priv::Datum_helper::nan <eT>() ); }
if(is_same_type<fill_type, fill::fill_pos_inf>::yes) { (*this).fill( priv::Datum_helper::pos_inf<eT>() ); }
if(is_same_type<fill_type, fill::fill_neg_inf>::yes) { (*this).fill( priv::Datum_helper::neg_inf<eT>() ); }
}
@@ -10533,7 +10545,7 @@ Mat<eT>::fixed<fixed_n_rows, fixed_n_cols>::colptr(const uword in_col)
{
eT* mem_actual = (use_extra) ? mem_local_extra : mem_local;
return & access::rw(mem_actual[in_col*fixed_n_rows]);
return access::rwp( mem_actual + (in_col*fixed_n_rows) );
}
@@ -10546,7 +10558,7 @@ Mat<eT>::fixed<fixed_n_rows, fixed_n_cols>::colptr(const uword in_col) const
{
const eT* mem_actual = (use_extra) ? mem_local_extra : mem_local;
return & mem_actual[in_col*fixed_n_rows];
return mem_actual + (in_col*fixed_n_rows);
}
+4
View File
@@ -1351,6 +1351,10 @@ Row<eT>::fixed<fixed_n_elem>::fixed(const fill::fill_class<fill_type>&)
if(is_same_type<fill_type, fill::fill_eye >::yes) { Mat<eT>::eye(); }
if(is_same_type<fill_type, fill::fill_randu>::yes) { Mat<eT>::randu(); }
if(is_same_type<fill_type, fill::fill_randn>::yes) { Mat<eT>::randn(); }
if(is_same_type<fill_type, fill::fill_nan >::yes) { (*this).fill( priv::Datum_helper::nan <eT>() ); }
if(is_same_type<fill_type, fill::fill_pos_inf>::yes) { (*this).fill( priv::Datum_helper::pos_inf<eT>() ); }
if(is_same_type<fill_type, fill::fill_neg_inf>::yes) { (*this).fill( priv::Datum_helper::neg_inf<eT>() ); }
}
+125 -77
View File
@@ -688,15 +688,22 @@ SpMat<eT>::operator=(const SpMat<eT>& x)
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator+=(const SpMat<eT>& x)
SpMat<eT>::operator+=(const SpMat<eT>& X)
{
arma_debug_sigprint();
sync_csc();
SpMat<eT> out = (*this) + x;
steal_mem(out);
if(X.n_nonzero == 0)
{
arma_conform_assert_same_size(n_rows, n_cols, X.n_rows, X.n_cols, "addition");
}
else
{
SpMat<eT> tmp = (*this) + X;
steal_mem(tmp);
}
return *this;
}
@@ -706,15 +713,22 @@ SpMat<eT>::operator+=(const SpMat<eT>& x)
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator-=(const SpMat<eT>& x)
SpMat<eT>::operator-=(const SpMat<eT>& X)
{
arma_debug_sigprint();
sync_csc();
SpMat<eT> out = (*this) - x;
steal_mem(out);
if(X.n_nonzero == 0)
{
arma_conform_assert_same_size(n_rows, n_cols, X.n_rows, X.n_cols, "subtraction");
}
else
{
SpMat<eT> tmp = (*this) - X;
steal_mem(tmp);
}
return *this;
}
@@ -724,15 +738,15 @@ SpMat<eT>::operator-=(const SpMat<eT>& x)
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator*=(const SpMat<eT>& y)
SpMat<eT>::operator*=(const SpMat<eT>& X)
{
arma_debug_sigprint();
sync_csc();
SpMat<eT> z = (*this) * y;
SpMat<eT> tmp = (*this) * X;
steal_mem(z);
steal_mem(tmp);
return *this;
}
@@ -743,15 +757,24 @@ SpMat<eT>::operator*=(const SpMat<eT>& y)
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator%=(const SpMat<eT>& y)
SpMat<eT>::operator%=(const SpMat<eT>& X)
{
arma_debug_sigprint();
sync_csc();
SpMat<eT> z = (*this) % y;
steal_mem(z);
if(X.n_nonzero == 0)
{
arma_conform_assert_same_size(n_rows, n_cols, X.n_rows, X.n_cols, "element-wise multiplication");
(*this).zeros();
}
else
{
SpMat<eT> tmp = (*this) % X;
steal_mem(tmp);
}
return *this;
}
@@ -1338,9 +1361,16 @@ SpMat<eT>::operator+=(const SpSubview<eT>& X)
sync_csc();
SpMat<eT> tmp = (*this) + X;
steal_mem(tmp);
if(X.n_nonzero == 0)
{
arma_conform_assert_same_size(n_rows, n_cols, X.n_rows, X.n_cols, "addition");
}
else
{
SpMat<eT> tmp = (*this) + X;
steal_mem(tmp);
}
return *this;
}
@@ -1356,64 +1386,82 @@ SpMat<eT>::operator-=(const SpSubview<eT>& X)
sync_csc();
SpMat<eT> tmp = (*this) - X;
steal_mem(tmp);
return *this;
}
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator*=(const SpSubview<eT>& y)
{
arma_debug_sigprint();
sync_csc();
SpMat<eT> z = (*this) * y;
steal_mem(z);
return *this;
}
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator%=(const SpSubview<eT>& x)
{
arma_debug_sigprint();
sync_csc();
SpMat<eT> tmp = (*this) % x;
steal_mem(tmp);
return *this;
}
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator/=(const SpSubview<eT>& x)
{
arma_debug_sigprint();
arma_conform_assert_same_size(n_rows, n_cols, x.n_rows, x.n_cols, "element-wise division");
// There is no pretty way to do this.
for(uword elem = 0; elem < n_elem; elem++)
if(X.n_nonzero == 0)
{
at(elem) /= x(elem);
arma_conform_assert_same_size(n_rows, n_cols, X.n_rows, X.n_cols, "subtraction");
}
else
{
SpMat<eT> tmp = (*this) - X;
steal_mem(tmp);
}
return *this;
}
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator*=(const SpSubview<eT>& X)
{
arma_debug_sigprint();
sync_csc();
SpMat<eT> tmp = (*this) * X;
steal_mem(tmp);
return *this;
}
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator%=(const SpSubview<eT>& X)
{
arma_debug_sigprint();
sync_csc();
if(X.n_nonzero == 0)
{
arma_conform_assert_same_size(n_rows, n_cols, X.n_rows, X.n_cols, "element-wise multiplication");
(*this).zeros();
}
else
{
SpMat<eT> tmp = (*this) % X;
steal_mem(tmp);
}
return *this;
}
template<typename eT>
inline
SpMat<eT>&
SpMat<eT>::operator/=(const SpSubview<eT>& X)
{
arma_debug_sigprint();
// NOTE: use of this function is not advised; it is implemented only for completeness
arma_conform_assert_same_size(n_rows, n_cols, X.n_rows, X.n_cols, "element-wise division");
for(uword c = 0; c < n_cols; ++c)
for(uword r = 0; r < n_rows; ++r)
{
at(r, c) /= X.at(r, c);
}
return *this;
@@ -1507,9 +1555,9 @@ SpMat<eT>::operator*=(const SpSubview_col_list<eT,T1>& X)
sync_csc();
SpMat<eT> z = (*this) * X;
SpMat<eT> tmp = (*this) * X;
steal_mem(z);
steal_mem(tmp);
return *this;
}
+41
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@@ -44,6 +44,8 @@ SpSubview<eT>::SpSubview(const SpMat<eT>& in_m, const uword in_row1, const uword
m.sync_csc();
if( (n_elem == 0) || (m.n_nonzero == 0) ) { return; } // (*this).n_nonzero already set to zero
// count the number of non-zeros in the subview
uword count = 0;
@@ -127,6 +129,8 @@ SpSubview<eT>::operator+=(const eT val)
tmp.fill(val);
if(n_nonzero == 0) { return (*this).operator=(tmp); }
return (*this).operator=( (*this) + tmp );
}
@@ -319,6 +323,15 @@ SpSubview<eT>::operator+=(const Base<eT, T1>& x)
{
arma_debug_sigprint();
if(n_nonzero == 0)
{
const quasi_unwrap<T1> U(x.get_ref());
arma_conform_assert_same_size(n_rows, n_cols, U.M.n_rows, U.M.n_cols, "addition");
return (*this).operator=(U.M);
}
return (*this).operator=( (*this) + x.get_ref() );
}
@@ -369,6 +382,8 @@ SpSubview<eT>::operator%=(const Base<eT, T1>& x)
arma_conform_assert_same_size(sv.n_rows, sv.n_cols, B.n_rows, B.n_cols, "element-wise multiplication");
if(n_nonzero == 0) { return *this; }
SpMat<eT>& sv_m = access::rw(sv.m);
sv_m.sync_csc();
@@ -555,6 +570,15 @@ SpSubview<eT>::operator+=(const SpBase<eT, T1>& x)
{
arma_debug_sigprint();
if(n_nonzero == 0)
{
const unwrap_spmat<T1> U(x.get_ref());
arma_conform_assert_same_size(n_rows, n_cols, U.M.n_rows, U.M.n_cols, "addition");
return (*this).operator_equ_common(U.M);
}
// TODO: implement dedicated machinery
return (*this).operator=( (*this) + x.get_ref() );
}
@@ -596,6 +620,15 @@ SpSubview<eT>::operator%=(const SpBase<eT, T1>& x)
{
arma_debug_sigprint();
if(n_nonzero == 0)
{
const SpProxy<T1> P(x.get_ref());
arma_conform_assert_same_size(n_rows, n_cols, P.get_n_rows(), P.get_n_cols(), "element-wise multiplication");
return *this;
}
// TODO: implement dedicated machinery
return (*this).operator=( (*this) % x.get_ref() );
}
@@ -648,6 +681,8 @@ SpSubview<eT>::for_each(functor F)
m.sync_csc();
m.invalidate_cache();
if(n_nonzero == 0) { return; }
const uword lstart_row = aux_row1;
const uword lend_row = aux_row1 + n_rows;
@@ -704,6 +739,8 @@ SpSubview<eT>::for_each(functor F) const
m.sync_csc();
if(n_nonzero == 0) { return; }
const uword lstart_row = aux_row1;
const uword lend_row = aux_row1 + n_rows;
@@ -743,6 +780,8 @@ SpSubview<eT>::transform(functor F)
m.sync_csc();
m.invalidate_cache();
if(n_nonzero == 0) { return; }
const uword lstart_row = aux_row1;
const uword lend_row = aux_row1 + n_rows;
@@ -813,6 +852,8 @@ SpSubview<eT>::replace(const eT old_val, const eT new_val)
m.sync_csc();
m.invalidate_cache();
if(n_nonzero == 0) { return; }
const uword lstart_row = aux_row1;
const uword lend_row = aux_row1 + n_rows;
+1 -1
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@@ -23,7 +23,7 @@
#define ARMA_VERSION_MAJOR 15
#define ARMA_VERSION_MINOR 2
#define ARMA_VERSION_PATCH 3
#define ARMA_VERSION_PATCH 4
#define ARMA_VERSION_NAME "Medium Roast Deluxe"
+12 -12
View File
@@ -330,18 +330,6 @@
#undef ARMA_OPTIMISE_POWEXPR
#endif
#if defined(ARMA_DONT_CHECK_CONFORMANCE)
#if defined(ARMA_CHECK_CONFORMANCE) && (ARMA_WARN_LEVEL >= 2)
#pragma message ("WARNING: conformance checks disabled")
#endif
#undef ARMA_CHECK_CONFORMANCE
#endif
#if defined(ARMA_DONT_CHECK_NONFINITE)
#undef ARMA_CHECK_NONFINITE
#endif
#if defined(ARMA_NO_DEBUG)
#undef ARMA_DEBUG
#undef ARMA_EXTRA_DEBUG
@@ -361,6 +349,18 @@
#define ARMA_WARN_LEVEL 3
#endif
#if defined(ARMA_DONT_CHECK_CONFORMANCE)
#if defined(ARMA_CHECK_CONFORMANCE) && (ARMA_WARN_LEVEL >= 2)
#pragma message ("WARNING: conformance checks disabled")
#endif
#undef ARMA_CHECK_CONFORMANCE
#endif
#if defined(ARMA_DONT_CHECK_NONFINITE)
#undef ARMA_CHECK_NONFINITE
#endif
#if defined(ARMA_DONT_PRINT_EXCEPTIONS)
#undef ARMA_PRINT_EXCEPTIONS
#endif
+12 -12
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@@ -330,18 +330,6 @@
#undef ARMA_OPTIMISE_POWEXPR
#endif
#if defined(ARMA_DONT_CHECK_CONFORMANCE)
#if defined(ARMA_CHECK_CONFORMANCE) && (ARMA_WARN_LEVEL >= 2)
#pragma message ("WARNING: conformance checks disabled")
#endif
#undef ARMA_CHECK_CONFORMANCE
#endif
#if defined(ARMA_DONT_CHECK_NONFINITE)
#undef ARMA_CHECK_NONFINITE
#endif
#if defined(ARMA_NO_DEBUG)
#undef ARMA_DEBUG
#undef ARMA_EXTRA_DEBUG
@@ -361,6 +349,18 @@
#define ARMA_WARN_LEVEL 3
#endif
#if defined(ARMA_DONT_CHECK_CONFORMANCE)
#if defined(ARMA_CHECK_CONFORMANCE) && (ARMA_WARN_LEVEL >= 2)
#pragma message ("WARNING: conformance checks disabled")
#endif
#undef ARMA_CHECK_CONFORMANCE
#endif
#if defined(ARMA_DONT_CHECK_NONFINITE)
#undef ARMA_CHECK_NONFINITE
#endif
#if defined(ARMA_DONT_PRINT_EXCEPTIONS)
#undef ARMA_PRINT_EXCEPTIONS
#endif
+55 -6
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@@ -62,11 +62,14 @@ namespace priv
}
//
template<typename eT>
static
constexpr
typename arma_real_only<eT>::result
inf(typename arma_real_only<eT>::result* junk = nullptr)
pos_inf(typename arma_real_only<eT>::result* junk = nullptr)
{
arma_ignore(junk);
@@ -78,13 +81,13 @@ namespace priv
static
constexpr
typename arma_cx_only<eT>::result
inf(typename arma_cx_only<eT>::result* junk = nullptr)
pos_inf(typename arma_cx_only<eT>::result* junk = nullptr)
{
arma_ignore(junk);
typedef typename get_pod_type<eT>::result T;
return eT( Datum_helper::inf<T>(), Datum_helper::inf<T>() );
return eT( Datum_helper::pos_inf<T>(), Datum_helper::pos_inf<T>() );
}
@@ -92,12 +95,54 @@ namespace priv
static
constexpr
typename arma_integral_only<eT>::result
inf(typename arma_integral_only<eT>::result* junk = nullptr)
pos_inf(typename arma_integral_only<eT>::result* junk = nullptr)
{
arma_ignore(junk);
return std::numeric_limits<eT>::max();
}
//
template<typename eT>
static
constexpr
typename arma_real_only<eT>::result
neg_inf(typename arma_real_only<eT>::result* junk = nullptr)
{
arma_ignore(junk);
return (std::numeric_limits<eT>::has_infinity) ? eT(-std::numeric_limits<eT>::infinity()) : eT(std::numeric_limits<eT>::lowest());
}
template<typename eT>
static
constexpr
typename arma_cx_only<eT>::result
neg_inf(typename arma_cx_only<eT>::result* junk = nullptr)
{
arma_ignore(junk);
typedef typename get_pod_type<eT>::result T;
return eT( Datum_helper::neg_inf<T>(), Datum_helper::neg_inf<T>() );
}
template<typename eT>
static
constexpr
typename arma_integral_only<eT>::result
neg_inf(typename arma_integral_only<eT>::result* junk = nullptr)
{
arma_ignore(junk);
return std::numeric_limits<eT>::lowest();
}
};
}
@@ -125,7 +170,9 @@ struct Datum
static const eT log_min; //!< log of the minimum representable value
static const eT log_max; //!< log of the maximum representable value
static const eT nan; //!< "not a number"
static const eT inf; //!< infinity
static const eT inf; //!< positive infinity
static const eT pos_inf; //!< positive infinity
static const eT neg_inf; //!< negative infinity
//
@@ -176,7 +223,9 @@ template<typename eT> const eT Datum<eT>::eps = std::numeric_limits<eT>:
template<typename eT> const eT Datum<eT>::log_min = std::log(std::numeric_limits<eT>::min());
template<typename eT> const eT Datum<eT>::log_max = std::log(std::numeric_limits<eT>::max());
template<typename eT> const eT Datum<eT>::nan = priv::Datum_helper::nan<eT>();
template<typename eT> const eT Datum<eT>::inf = priv::Datum_helper::inf<eT>();
template<typename eT> const eT Datum<eT>::inf = priv::Datum_helper::pos_inf<eT>();
template<typename eT> const eT Datum<eT>::pos_inf = priv::Datum_helper::pos_inf<eT>();
template<typename eT> const eT Datum<eT>::neg_inf = priv::Datum_helper::neg_inf<eT>();
template<typename eT> const eT Datum<eT>::m_u = eT(1.66053906892e-27);
template<typename eT> const eT Datum<eT>::N_A = eT(6.02214076e23);
+19 -12
View File
@@ -22,22 +22,29 @@
namespace fill
{
struct fill_none {};
struct fill_zeros {};
struct fill_ones {};
struct fill_eye {};
struct fill_randu {};
struct fill_randn {};
struct fill_none {};
struct fill_zeros {};
struct fill_ones {};
struct fill_eye {};
struct fill_randu {};
struct fill_randn {};
struct fill_nan {};
struct fill_pos_inf {};
struct fill_neg_inf {};
template<typename fill_type>
struct fill_class { inline constexpr fill_class() {} };
static constexpr fill_class<fill_none > none;
static constexpr fill_class<fill_zeros> zeros;
static constexpr fill_class<fill_ones > ones;
static constexpr fill_class<fill_eye > eye;
static constexpr fill_class<fill_randu> randu;
static constexpr fill_class<fill_randn> randn;
static constexpr fill_class<fill_none > none;
static constexpr fill_class<fill_zeros > zeros;
static constexpr fill_class<fill_ones > ones;
static constexpr fill_class<fill_eye > eye;
static constexpr fill_class<fill_randu > randu;
static constexpr fill_class<fill_randn > randn;
static constexpr fill_class<fill_nan > nan;
static constexpr fill_class<fill_pos_inf> inf;
static constexpr fill_class<fill_pos_inf> pos_inf;
static constexpr fill_class<fill_neg_inf> neg_inf;
//
+8
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@@ -80,6 +80,8 @@ op_accu_mat::apply_proxy_at(const Proxy<T1>& P)
const uword n_rows = P.get_n_rows();
const uword n_cols = P.get_n_cols();
if(n_rows == 0) { return eT(0); }
eT val = eT(0);
if(n_rows != 1)
@@ -146,6 +148,8 @@ op_accu_mat::apply_omit_helper(const Proxy<T1>& P, functor is_omitted)
const uword n_rows = P.get_n_rows();
const uword n_cols = P.get_n_cols();
if(n_rows == 0) { return eT_zero; }
for(uword c=0; c < n_cols; ++c)
for(uword r=0; r < n_rows; ++r)
{
@@ -602,6 +606,8 @@ op_accu_mat::apply(const subview<eT>& X)
const uword X_n_rows = X.n_rows;
const uword X_n_cols = X.n_cols;
if( (X_n_rows == 0) || (X_n_cols == 0) ) { return eT(0); }
if(X_n_rows == 1)
{
const uword X_m_n_rows = X.m.n_rows;
@@ -750,6 +756,8 @@ op_accu_cube::apply_proxy_at(const ProxyCube<T1>& P)
const uword n_cols = P.get_n_cols();
const uword n_slices = P.get_n_slices();
if( (n_rows == 0) || (n_cols == 0) ) { return eT(0); }
eT val1 = eT(0);
eT val2 = eT(0);
@@ -65,6 +65,7 @@ op_htrans::apply_mat_noalias(Mat<eT>& out, const Mat<eT>& A, const typename arma
op_htrans::apply_mat_noalias_large(out, A);
}
else
if( (A_n_rows != 0) && (A_n_cols != 0) )
{
eT* outptr = out.memptr();
@@ -200,6 +200,7 @@ op_strans::apply_mat_noalias(Mat<eT>& out, const TA& A)
op_strans::apply_mat_noalias_large(out, A);
}
else
if( (A_n_rows != 0) && (A_n_cols != 0) )
{
eT* outptr = out.memptr();
@@ -176,6 +176,8 @@ op_vectorise_col::apply_subview(Mat<eT>& out, const subview<eT>& sv)
out.set_size(sv.n_elem, 1);
if(sv.n_elem == 0) { return; }
eT* out_mem = out.memptr();
for(uword col=0; col < sv_n_cols; ++col)
@@ -201,6 +203,8 @@ op_vectorise_col::apply_proxy(Mat<typename T1::elem_type>& out, const Proxy<T1>&
out.set_size(N, 1);
if(N == 0) { return; }
eT* outmem = out.memptr();
if(Proxy<T1>::use_at == false)
@@ -305,6 +309,8 @@ op_vectorise_row::apply_proxy(Mat<typename T1::elem_type>& out, const Proxy<T1>&
out.set_size(1, n_elem);
if(n_elem == 0) { return; }
eT* outmem = out.memptr();
if(n_cols == 1)
@@ -471,6 +477,8 @@ op_vectorise_cube_col::apply_proxy(Mat<typename T1::elem_type>& out, const T1& e
out.set_size(N, 1);
if(N == 0) { return; }
eT* outmem = out.memptr();
if(ProxyCube<T1>::use_at == false)
+3
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@@ -142,6 +142,9 @@ class subview : public Base< eT, subview<eT> >
arma_inline eT* colptr(const uword in_col);
arma_inline const eT* colptr(const uword in_col) const;
arma_inline eT* startptr();
arma_inline const eT* startptr() const;
template<typename eT2>
inline bool check_overlap(const subview<eT2>& x) const;
+114 -40
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@@ -109,6 +109,8 @@ subview_cube_each1<eT>::operator= (const Base<eT,T1>& in)
const uword p_n_slices = p.n_slices;
const uword p_n_elem_slice = p.n_elem_slice;
if(p_n_elem_slice == 0) { return; }
const eT* A_mem = A.memptr();
for(uword i=0; i < p_n_slices; ++i) { arrayops::copy( p.slice_memptr(i), A_mem, p_n_elem_slice ); }
@@ -134,6 +136,8 @@ subview_cube_each1<eT>::operator+= (const Base<eT,T1>& in)
const uword p_n_slices = p.n_slices;
const uword p_n_elem_slice = p.n_elem_slice;
if(p_n_elem_slice == 0) { return; }
const eT* A_mem = A.memptr();
for(uword i=0; i < p_n_slices; ++i) { arrayops::inplace_plus( p.slice_memptr(i), A_mem, p_n_elem_slice ); }
@@ -159,6 +163,8 @@ subview_cube_each1<eT>::operator-= (const Base<eT,T1>& in)
const uword p_n_slices = p.n_slices;
const uword p_n_elem_slice = p.n_elem_slice;
if(p_n_elem_slice == 0) { return; }
const eT* A_mem = A.memptr();
for(uword i=0; i < p_n_slices; ++i) { arrayops::inplace_minus( p.slice_memptr(i), A_mem, p_n_elem_slice ); }
@@ -184,6 +190,8 @@ subview_cube_each1<eT>::operator%= (const Base<eT,T1>& in)
const uword p_n_slices = p.n_slices;
const uword p_n_elem_slice = p.n_elem_slice;
if(p_n_elem_slice == 0) { return; }
const eT* A_mem = A.memptr();
for(uword i=0; i < p_n_slices; ++i) { arrayops::inplace_mul( p.slice_memptr(i), A_mem, p_n_elem_slice ); }
@@ -209,6 +217,8 @@ subview_cube_each1<eT>::operator/= (const Base<eT,T1>& in)
const uword p_n_slices = p.n_slices;
const uword p_n_elem_slice = p.n_elem_slice;
if(p_n_elem_slice == 0) { return; }
const eT* A_mem = A.memptr();
for(uword i=0; i < p_n_slices; ++i) { arrayops::inplace_div( p.slice_memptr(i), A_mem, p_n_elem_slice ); }
@@ -300,6 +310,8 @@ subview_cube_each2<eT,TB>::operator= (const Base<eT,T1>& in)
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::copy(p.slice_memptr(slice), A_mem, p_n_elem_slice);
}
}
@@ -339,6 +351,8 @@ subview_cube_each2<eT,TB>::operator+= (const Base<eT,T1>& in)
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_plus(p.slice_memptr(slice), A_mem, p_n_elem_slice);
}
}
@@ -378,6 +392,8 @@ subview_cube_each2<eT,TB>::operator-= (const Base<eT,T1>& in)
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_minus(p.slice_memptr(slice), A_mem, p_n_elem_slice);
}
}
@@ -417,6 +433,8 @@ subview_cube_each2<eT,TB>::operator%= (const Base<eT,T1>& in)
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_mul(p.slice_memptr(slice), A_mem, p_n_elem_slice);
}
}
@@ -456,6 +474,8 @@ subview_cube_each2<eT,TB>::operator/= (const Base<eT,T1>& in)
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_div(p.slice_memptr(slice), A_mem, p_n_elem_slice);
}
}
@@ -492,12 +512,15 @@ subview_cube_each1_aux::operator_plus
X.check_size(A);
for(uword i=0; i < p_n_slices; ++i)
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice + A;
for(uword i=0; i < p_n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice + A;
}
}
return out;
@@ -529,12 +552,15 @@ subview_cube_each1_aux::operator_minus
X.check_size(A);
for(uword i=0; i < p_n_slices; ++i)
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice - A;
for(uword i=0; i < p_n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice - A;
}
}
return out;
@@ -566,12 +592,15 @@ subview_cube_each1_aux::operator_minus
Y.check_size(A);
for(uword i=0; i < p_n_slices; ++i)
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = A - p_slice;
for(uword i=0; i < p_n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = A - p_slice;
}
}
return out;
@@ -603,12 +632,15 @@ subview_cube_each1_aux::operator_schur
X.check_size(A);
for(uword i=0; i < p_n_slices; ++i)
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice % A;
for(uword i=0; i < p_n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice % A;
}
}
return out;
@@ -640,12 +672,15 @@ subview_cube_each1_aux::operator_div
X.check_size(A);
for(uword i=0; i < p_n_slices; ++i)
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice / A;
for(uword i=0; i < p_n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = p_slice / A;
}
}
return out;
@@ -677,12 +712,15 @@ subview_cube_each1_aux::operator_div
Y.check_size(A);
for(uword i=0; i < p_n_slices; ++i)
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = A / p_slice;
for(uword i=0; i < p_n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(i)), p_n_rows, p_n_cols, false, true);
out_slice = A / p_slice;
}
}
return out;
@@ -706,14 +744,26 @@ subview_cube_each1_aux::operator_times
const unwrap<T2> tmp(Y.get_ref());
const Mat<eT>& M = tmp.M;
if(arma_config::check_conform)
{
if(C.n_cols != M.n_rows) { arma_stop_logic_error("each_slice(): incompatible sizes for matrix multiplication"); }
}
Cube<eT> out(C.n_rows, M.n_cols, C.n_slices, arma_nozeros_indicator());
for(uword i=0; i < C.n_slices; ++i)
if( (C.n_elem == 0) || (M.n_elem == 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), C.n_rows, M.n_cols, false, true);
const Mat<eT> C_slice(const_cast<eT*>(C.slice_memptr(i)), C.n_rows, C.n_cols, false, true);
out_slice = C_slice * M;
out.zeros();
}
else
{
for(uword i=0; i < C.n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), C.n_rows, M.n_cols, false, true);
const Mat<eT> C_slice(const_cast<eT*>(C.slice_memptr(i)), C.n_rows, C.n_cols, false, true);
out_slice = C_slice * M;
}
}
return out;
@@ -737,14 +787,26 @@ subview_cube_each1_aux::operator_times
const Cube<eT>& C = Y.P;
if(arma_config::check_conform)
{
if(M.n_cols != C.n_rows) { arma_stop_logic_error("each_slice(): incompatible sizes for matrix multiplication"); }
}
Cube<eT> out(M.n_rows, C.n_cols, C.n_slices, arma_nozeros_indicator());
for(uword i=0; i < C.n_slices; ++i)
if( (M.n_elem == 0) || (C.n_elem == 0) )
{
Mat<eT> out_slice( out.slice_memptr(i), M.n_rows, C.n_cols, false, true);
const Mat<eT> C_slice(const_cast<eT*>(C.slice_memptr(i)), C.n_rows, C.n_cols, false, true);
out_slice = M * C_slice;
out.zeros();
}
else
{
for(uword i=0; i < C.n_slices; ++i)
{
Mat<eT> out_slice( out.slice_memptr(i), M.n_rows, C.n_cols, false, true);
const Mat<eT> C_slice(const_cast<eT*>(C.slice_memptr(i)), C.n_rows, C.n_cols, false, true);
out_slice = M * C_slice;
}
}
return out;
@@ -795,6 +857,8 @@ subview_cube_each2_aux::operator_plus
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_plus(out.slice_memptr(slice), A_mem, p_n_elem_slice);
}
@@ -840,6 +904,8 @@ subview_cube_each2_aux::operator_minus
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_minus(out.slice_memptr(slice), A_mem, p_n_elem_slice);
}
@@ -884,6 +950,8 @@ subview_cube_each2_aux::operator_minus
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if( (p_n_rows == 0) || (p_n_cols == 0) ) { continue; }
Mat<eT> out_slice( out.slice_memptr(slice), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(slice)), p_n_rows, p_n_cols, false, true);
@@ -932,6 +1000,8 @@ subview_cube_each2_aux::operator_schur
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_mul(out.slice_memptr(slice), A_mem, p_n_elem_slice);
}
@@ -977,6 +1047,8 @@ subview_cube_each2_aux::operator_div
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if(p_n_elem_slice == 0) { continue; }
arrayops::inplace_div(out.slice_memptr(slice), A_mem, p_n_elem_slice);
}
@@ -1021,6 +1093,8 @@ subview_cube_each2_aux::operator_div
arma_conform_check_bounds( (slice >= p_n_slices), "each_slice(): index out of bounds" );
if( (p_n_rows == 0) || (p_n_cols == 0) ) { continue; }
Mat<eT> out_slice( out.slice_memptr(slice), p_n_rows, p_n_cols, false, true);
const Mat<eT> p_slice(const_cast<eT*>(p.slice_memptr(slice)), p_n_rows, p_n_cols, false, true);
+63 -18
View File
@@ -117,6 +117,8 @@ subview_cube<eT>::inplace_op(const eT val)
const uword t_n_cols = t.n_cols;
const uword t_n_slices = t.n_slices;
if( (t_n_rows == 0) || (t_n_cols == 0) ) { return; }
for(uword s=0; s < t_n_slices; ++s)
for(uword c=0; c < t_n_cols; ++c)
{
@@ -150,6 +152,8 @@ subview_cube<eT>::inplace_op(const BaseCube<eT,T1>& in, const char* identifier)
arma_conform_assert_same_size(t, P, identifier);
if( (t_n_rows == 0) || (t_n_cols == 0) || (t_n_slices == 0) ) { return; }
const bool use_mp = arma_config::openmp && ProxyCube<T1>::use_mp && mp_gate<eT>::eval(t.n_elem);
const bool has_overlap = P.has_overlap(t);
@@ -258,6 +262,8 @@ subview_cube<eT>::inplace_op(const subview_cube<eT>& x, const char* identifier)
const uword t_n_cols = t.n_cols;
const uword t_n_slices = t.n_slices;
if( (t_n_rows == 0) || (t_n_cols == 0) ) { return; }
for(uword s=0; s < t_n_slices; ++s)
for(uword c=0; c < t_n_cols; ++c)
{
@@ -1174,6 +1180,8 @@ subview_cube<eT>::replace(const eT old_val, const eT new_val)
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
if( (local_n_rows == 0) || (local_n_cols == 0) ) { return; }
for(uword slice = 0; slice < local_n_slices; ++slice)
{
for(uword col = 0; col < local_n_cols; ++col)
@@ -1196,6 +1204,8 @@ subview_cube<eT>::clean(const typename get_pod_type<eT>::result threshold)
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
if( (local_n_rows == 0) || (local_n_cols == 0) ) { return; }
for(uword slice = 0; slice < local_n_slices; ++slice)
{
for(uword col = 0; col < local_n_cols; ++col)
@@ -1228,6 +1238,8 @@ subview_cube<eT>::clamp(const eT min_val, const eT max_val)
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
if( (local_n_rows == 0) || (local_n_cols == 0) ) { return; }
for(uword slice = 0; slice < local_n_slices; ++slice)
{
for(uword col = 0; col < local_n_cols; ++col)
@@ -1250,6 +1262,8 @@ subview_cube<eT>::fill(const eT val)
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
if( (local_n_rows == 0) || (local_n_cols == 0) ) { return; }
for(uword slice = 0; slice < local_n_slices; ++slice)
{
for(uword col = 0; col < local_n_cols; ++col)
@@ -1272,6 +1286,8 @@ subview_cube<eT>::zeros()
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
if( (local_n_rows == 0) || (local_n_cols == 0) ) { return; }
for(uword slice = 0; slice < local_n_slices; ++slice)
{
for(uword col = 0; col < local_n_cols; ++col)
@@ -1306,6 +1322,8 @@ subview_cube<eT>::randu()
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
if( (local_n_rows == 0) || (local_n_cols == 0) ) { return; }
for(uword slice = 0; slice < local_n_slices; ++slice)
{
for(uword col = 0; col < local_n_cols; ++col)
@@ -1328,6 +1346,8 @@ subview_cube<eT>::randn()
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
if( (local_n_rows == 0) || (local_n_cols == 0) ) { return; }
for(uword slice = 0; slice < local_n_slices; ++slice)
{
for(uword col = 0; col < local_n_cols; ++col)
@@ -1352,11 +1372,14 @@ subview_cube<eT>::is_finite() const
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
for(uword slice = 0; slice < local_n_slices; ++slice)
if( (local_n_rows != 0) && (local_n_cols != 0) )
{
for(uword col = 0; col < local_n_cols; ++col)
for(uword slice = 0; slice < local_n_slices; ++slice)
{
if(arrayops::is_finite(slice_colptr(slice,col), local_n_rows) == false) { return false; }
for(uword col = 0; col < local_n_cols; ++col)
{
if(arrayops::is_finite(slice_colptr(slice,col), local_n_rows) == false) { return false; }
}
}
}
@@ -1376,11 +1399,14 @@ subview_cube<eT>::is_zero(const typename get_pod_type<eT>::result tol) const
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
for(uword slice = 0; slice < local_n_slices; ++slice)
if( (local_n_rows != 0) && (local_n_cols != 0) )
{
for(uword col = 0; col < local_n_cols; ++col)
for(uword slice = 0; slice < local_n_slices; ++slice)
{
if(arrayops::is_zero(slice_colptr(slice,col), local_n_rows, tol) == false) { return false; }
for(uword col = 0; col < local_n_cols; ++col)
{
if(arrayops::is_zero(slice_colptr(slice,col), local_n_rows, tol) == false) { return false; }
}
}
}
@@ -1402,11 +1428,14 @@ subview_cube<eT>::has_inf() const
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
for(uword slice = 0; slice < local_n_slices; ++slice)
if( (local_n_rows != 0) && (local_n_cols != 0) )
{
for(uword col = 0; col < local_n_cols; ++col)
for(uword slice = 0; slice < local_n_slices; ++slice)
{
if(arrayops::has_inf(slice_colptr(slice,col), local_n_rows)) { return true; }
for(uword col = 0; col < local_n_cols; ++col)
{
if(arrayops::has_inf(slice_colptr(slice,col), local_n_rows)) { return true; }
}
}
}
@@ -1428,11 +1457,14 @@ subview_cube<eT>::has_nan() const
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
for(uword slice = 0; slice < local_n_slices; ++slice)
if( (local_n_rows != 0) && (local_n_cols != 0) )
{
for(uword col = 0; col < local_n_cols; ++col)
for(uword slice = 0; slice < local_n_slices; ++slice)
{
if(arrayops::has_nan(slice_colptr(slice,col), local_n_rows)) { return true; }
for(uword col = 0; col < local_n_cols; ++col)
{
if(arrayops::has_nan(slice_colptr(slice,col), local_n_rows)) { return true; }
}
}
}
@@ -1454,11 +1486,14 @@ subview_cube<eT>::has_nonfinite() const
const uword local_n_cols = n_cols;
const uword local_n_slices = n_slices;
for(uword slice = 0; slice < local_n_slices; ++slice)
if( (local_n_rows != 0) && (local_n_cols != 0) )
{
for(uword col = 0; col < local_n_cols; ++col)
for(uword slice = 0; slice < local_n_slices; ++slice)
{
if(arrayops::is_finite(slice_colptr(slice,col), local_n_rows) == false) { return true; }
for(uword col = 0; col < local_n_cols; ++col)
{
if(arrayops::is_finite(slice_colptr(slice,col), local_n_rows) == false) { return true; }
}
}
}
@@ -1614,7 +1649,7 @@ arma_inline
eT*
subview_cube<eT>::slice_colptr(const uword in_slice, const uword in_col)
{
return & access::rw((const_cast< Cube<eT>& >(m)).mem[ (in_slice + aux_slice1)*m.n_elem_slice + (in_col + aux_col1)*m.n_rows + aux_row1 ]);
return access::rwp( m.mem + ( (in_slice + aux_slice1)*m.n_elem_slice + (in_col + aux_col1)*m.n_rows + aux_row1 ) );
}
@@ -1624,7 +1659,7 @@ arma_inline
const eT*
subview_cube<eT>::slice_colptr(const uword in_slice, const uword in_col) const
{
return & m.mem[ (in_slice + aux_slice1)*m.n_elem_slice + (in_col + aux_col1)*m.n_rows + aux_row1 ];
return m.mem + ( (in_slice + aux_slice1)*m.n_elem_slice + (in_col + aux_col1)*m.n_rows + aux_row1 );
}
@@ -1704,7 +1739,7 @@ void
subview_cube<eT>::extract(Cube<eT>& out, const subview_cube<eT>& in)
{
arma_debug_sigprint();
// NOTE: we're assuming that the cube has already been set to the correct size and there is no aliasing;
// size setting and alias checking is done by either the Cube constructor or operator=()
@@ -1714,6 +1749,8 @@ subview_cube<eT>::extract(Cube<eT>& out, const subview_cube<eT>& in)
arma_debug_print(arma_str::format("out.n_rows: %u; out.n_cols: %u; out.n_slices: %u; in.m.n_rows: %u; in.m.n_cols: %u; in.m.n_slices: %u") % out.n_rows % out.n_cols % out.n_slices % in.m.n_rows % in.m.n_cols % in.m.n_slices);
if( (n_rows == 0) || (n_cols == 0) ) { return; }
if( (in.aux_row1 == 0) && (n_rows == in.m.n_rows) )
{
for(uword s=0; s < n_slices; ++s)
@@ -1747,6 +1784,8 @@ subview_cube<eT>::plus_inplace(Cube<eT>& out, const subview_cube<eT>& in)
const uword n_cols = out.n_cols;
const uword n_slices = out.n_slices;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
for(uword slice = 0; slice<n_slices; ++slice)
{
for(uword col = 0; col<n_cols; ++col)
@@ -1772,6 +1811,8 @@ subview_cube<eT>::minus_inplace(Cube<eT>& out, const subview_cube<eT>& in)
const uword n_cols = out.n_cols;
const uword n_slices = out.n_slices;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
for(uword slice = 0; slice<n_slices; ++slice)
{
for(uword col = 0; col<n_cols; ++col)
@@ -1797,6 +1838,8 @@ subview_cube<eT>::schur_inplace(Cube<eT>& out, const subview_cube<eT>& in)
const uword n_cols = out.n_cols;
const uword n_slices = out.n_slices;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
for(uword slice = 0; slice<n_slices; ++slice)
{
for(uword col = 0; col<n_cols; ++col)
@@ -1822,6 +1865,8 @@ subview_cube<eT>::div_inplace(Cube<eT>& out, const subview_cube<eT>& in)
const uword n_cols = out.n_cols;
const uword n_slices = out.n_slices;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
for(uword slice = 0; slice<n_slices; ++slice)
{
for(uword col = 0; col<n_cols; ++col)
+164 -114
View File
@@ -157,6 +157,8 @@ subview_each1<parent,mode>::operator= (const Base<eT,T1>& in)
const uword p_n_rows = p.n_rows;
const uword p_n_cols = p.n_cols;
if(p_n_rows == 0) { return; }
if(mode == 0) // each column
{
for(uword i=0; i < p_n_cols; ++i)
@@ -194,6 +196,8 @@ subview_each1<parent,mode>::operator+= (const Base<eT,T1>& in)
const uword p_n_rows = p.n_rows;
const uword p_n_cols = p.n_cols;
if(p_n_rows == 0) { return; }
if(mode == 0) // each column
{
for(uword i=0; i < p_n_cols; ++i)
@@ -231,6 +235,8 @@ subview_each1<parent,mode>::operator-= (const Base<eT,T1>& in)
const uword p_n_rows = p.n_rows;
const uword p_n_cols = p.n_cols;
if(p_n_rows == 0) { return; }
if(mode == 0) // each column
{
for(uword i=0; i < p_n_cols; ++i)
@@ -268,6 +274,8 @@ subview_each1<parent,mode>::operator%= (const Base<eT,T1>& in)
const uword p_n_rows = p.n_rows;
const uword p_n_cols = p.n_cols;
if(p_n_rows == 0) { return; }
if(mode == 0) // each column
{
for(uword i=0; i < p_n_cols; ++i)
@@ -305,6 +313,8 @@ subview_each1<parent,mode>::operator/= (const Base<eT,T1>& in)
const uword p_n_rows = p.n_rows;
const uword p_n_cols = p.n_cols;
if(p_n_rows == 0) { return; }
if(mode == 0) // each column
{
for(uword i=0; i < p_n_cols; ++i)
@@ -400,6 +410,8 @@ subview_each2<parent,mode,TB>::operator= (const Base<eT,T1>& in)
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::copy( p.colptr(col), A_mem, p_n_rows );
}
}
@@ -456,6 +468,8 @@ subview_each2<parent,mode,TB>::operator+= (const Base<eT,T1>& in)
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_plus( p.colptr(col), A_mem, p_n_rows );
}
}
@@ -509,6 +523,8 @@ subview_each2<parent,mode,TB>::operator-= (const Base<eT,T1>& in)
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_minus( p.colptr(col), A_mem, p_n_rows );
}
}
@@ -562,6 +578,8 @@ subview_each2<parent,mode,TB>::operator%= (const Base<eT,T1>& in)
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_mul( p.colptr(col), A_mem, p_n_rows );
}
}
@@ -615,6 +633,8 @@ subview_each2<parent,mode,TB>::operator/= (const Base<eT,T1>& in)
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_div( p.colptr(col), A_mem, p_n_rows );
}
}
@@ -666,32 +686,35 @@ subview_each1_aux::operator_plus
const eT* A_mem = A.memptr();
if(mode == 0) // each column
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 0) // each column
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] + A_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] + A_mem[row];
}
}
}
}
if(mode == 1) // each row
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 1) // each row
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] + A_val;
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] + A_val;
}
}
}
}
@@ -728,32 +751,35 @@ subview_each1_aux::operator_minus
const eT* A_mem = A.memptr();
if(mode == 0) // each column
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 0) // each column
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] - A_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] - A_mem[row];
}
}
}
}
if(mode == 1) // each row
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 1) // each row
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] - A_val;
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] - A_val;
}
}
}
}
@@ -790,32 +816,35 @@ subview_each1_aux::operator_minus
const eT* A_mem = A.memptr();
if(mode == 0) // each column
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 0) // each column
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = A_mem[row] - p_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = A_mem[row] - p_mem[row];
}
}
}
}
if(mode == 1) // each row
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 1) // each row
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = A_val - p_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = A_val - p_mem[row];
}
}
}
}
@@ -852,32 +881,35 @@ subview_each1_aux::operator_schur
const eT* A_mem = A.memptr();
if(mode == 0) // each column
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 0) // each column
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] * A_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] * A_mem[row];
}
}
}
}
if(mode == 1) // each row
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 1) // each row
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] * A_val;
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] * A_val;
}
}
}
}
@@ -914,32 +946,35 @@ subview_each1_aux::operator_div
const eT* A_mem = A.memptr();
if(mode == 0) // each column
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 0) // each column
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] / A_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] / A_mem[row];
}
}
}
}
if(mode == 1) // each row
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 1) // each row
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = p_mem[row] / A_val;
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = p_mem[row] / A_val;
}
}
}
}
@@ -976,32 +1011,35 @@ subview_each1_aux::operator_div
const eT* A_mem = A.memptr();
if(mode == 0) // each column
if( (p_n_rows != 0) && (p_n_cols != 0) )
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 0) // each column
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = A_mem[row] / p_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = A_mem[row] / p_mem[row];
}
}
}
}
if(mode == 1) // each row
{
for(uword i=0; i < p_n_cols; ++i)
if(mode == 1) // each row
{
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
for(uword i=0; i < p_n_cols; ++i)
{
out_mem[row] = A_val / p_mem[row];
const eT* p_mem = p.colptr(i);
eT* out_mem = out.colptr(i);
const eT A_val = A_mem[i];
for(uword row=0; row < p_n_rows; ++row)
{
out_mem[row] = A_val / p_mem[row];
}
}
}
}
@@ -1058,6 +1096,8 @@ subview_each2_aux::operator_plus
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_plus( out.colptr(col), A_mem, p_n_rows );
}
}
@@ -1120,6 +1160,8 @@ subview_each2_aux::operator_minus
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_minus( out.colptr(col), A_mem, p_n_rows );
}
}
@@ -1182,6 +1224,8 @@ subview_each2_aux::operator_minus
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
const eT* p_mem = p.colptr(col);
eT* out_mem = out.colptr(col);
@@ -1250,6 +1294,8 @@ subview_each2_aux::operator_schur
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_mul( out.colptr(col), A_mem, p_n_rows );
}
}
@@ -1312,6 +1358,8 @@ subview_each2_aux::operator_div
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
arrayops::inplace_div( out.colptr(col), A_mem, p_n_rows );
}
}
@@ -1374,6 +1422,8 @@ subview_each2_aux::operator_div
arma_conform_check_bounds( (col >= p_n_cols), "each_col(): index out of bounds" );
if(p_n_rows == 0) { continue; }
const eT* p_mem = p.colptr(col);
eT* out_mem = out.colptr(col);
+208 -96
View File
@@ -95,6 +95,8 @@ subview<eT>::inplace_op(const eT val)
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
if(s_n_rows == 1)
{
Mat<eT>& A = const_cast< Mat<eT>& >(s.m);
@@ -151,6 +153,8 @@ subview<eT>::inplace_op(const Base<eT,T1>& in, const char* identifier)
arma_conform_assert_same_size(s, P, identifier);
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
const bool use_mp = arma_config::openmp && Proxy<T1>::use_mp && mp_gate<eT>::eval(s.n_elem);
const bool has_overlap = P.has_overlap(s);
@@ -348,8 +352,10 @@ subview<eT>::inplace_op(const subview<eT>& x, const char* identifier)
arma_conform_assert_same_size(s, x, identifier);
const uword s_n_cols = s.n_cols;
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
if(s_n_rows == 1)
{
@@ -606,7 +612,8 @@ subview<eT>::operator=(const SpBase<eT, T1>& x)
// Clear the subview.
zeros();
// Iterate through the sparse subview and set the nonzero values appropriately.
if(p.get_n_nonzero() == 0) { return; }
typename SpProxy<T1>::const_iterator_type cit = p.begin();
typename SpProxy<T1>::const_iterator_type cit_end = p.end();
@@ -631,7 +638,8 @@ subview<eT>::operator+=(const SpBase<eT, T1>& x)
arma_conform_assert_same_size(n_rows, n_cols, p.get_n_rows(), p.get_n_cols(), "addition");
// Iterate through the sparse subview and add its values.
if(p.get_n_nonzero() == 0) { return; }
typename SpProxy<T1>::const_iterator_type cit = p.begin();
typename SpProxy<T1>::const_iterator_type cit_end = p.end();
@@ -656,7 +664,8 @@ subview<eT>::operator-=(const SpBase<eT, T1>& x)
arma_conform_assert_same_size(n_rows, n_cols, p.get_n_rows(), p.get_n_cols(), "subtraction");
// Iterate through the sparse subview and subtract its values.
if(p.get_n_nonzero() == 0) { return; }
typename SpProxy<T1>::const_iterator_type cit = p.begin();
typename SpProxy<T1>::const_iterator_type cit_end = p.end();
@@ -725,13 +734,12 @@ subview<eT>::operator/=(const SpBase<eT, T1>& x)
{
arma_debug_sigprint();
// NOTE: use of this function is not advised; it is implemented only for completeness
const SpProxy<T1> p(x.get_ref());
arma_conform_assert_same_size(n_rows, n_cols, p.get_n_rows(), p.get_n_cols(), "element-wise division");
// This is probably going to fill your subview with a bunch of NaNs,
// so I'm not going to bother to implement it fast.
// You can have slow NaNs. They're fine too.
for(uword c = 0; c < n_cols; ++c)
for(uword r = 0; r < n_rows; ++r)
{
@@ -968,8 +976,10 @@ subview<eT>::replace(const eT old_val, const eT new_val)
subview<eT>& s = *this;
const uword s_n_cols = s.n_cols;
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
if(s_n_rows == 1)
{
@@ -1018,8 +1028,10 @@ subview<eT>::clean(const typename get_pod_type<eT>::result threshold)
subview<eT>& s = *this;
const uword s_n_cols = s.n_cols;
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if(s_n_rows == 0) { return; }
for(uword ucol=0; ucol < s_n_cols; ++ucol)
{
@@ -1048,8 +1060,10 @@ subview<eT>::clamp(const eT min_val, const eT max_val)
subview<eT>& s = *this;
const uword s_n_cols = s.n_cols;
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if(s_n_rows == 0) { return; }
for(uword ucol=0; ucol < s_n_cols; ++ucol)
{
@@ -1068,8 +1082,10 @@ subview<eT>::fill(const eT val)
subview<eT>& s = *this;
const uword s_n_cols = s.n_cols;
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
if(s_n_rows == 1)
{
@@ -1109,7 +1125,42 @@ subview<eT>::zeros()
{
arma_debug_sigprint();
(*this).fill(eT(0));
subview<eT>& s = *this;
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
if(s_n_rows == 1)
{
Mat<eT>& A = const_cast< Mat<eT>& >(s.m);
const uword A_n_rows = A.n_rows;
eT* Aptr = &(A.at(s.aux_row1,s.aux_col1));
constexpr eT eT_zero = eT(0);
for(uword ii=0; ii < s_n_cols; ++ii)
{
(*Aptr) = eT_zero; Aptr += A_n_rows;
}
}
else
{
if( (s.aux_row1 == 0) && (s_n_rows == s.m.n_rows) )
{
arrayops::fill_zeros( s.colptr(0), s.n_elem );
}
else
{
for(uword ucol=0; ucol < s_n_cols; ++ucol)
{
arrayops::fill_zeros( s.colptr(ucol), s_n_rows );
}
}
}
}
@@ -1157,6 +1208,8 @@ subview<eT>::randu()
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
if(s_n_rows == 1)
{
podarray<eT> tmp(s_n_cols);
@@ -1197,6 +1250,8 @@ subview<eT>::randn()
const uword s_n_rows = s.n_rows;
const uword s_n_cols = s.n_cols;
if( (s_n_rows == 0) || (s_n_cols == 0) ) { return; }
if(s_n_rows == 1)
{
podarray<eT> tmp(s_n_cols);
@@ -1410,7 +1465,7 @@ arma_inline
eT*
subview<eT>::colptr(const uword in_col)
{
return & access::rw((const_cast< Mat<eT>& >(m)).mem[ (in_col + aux_col1)*m.n_rows + aux_row1 ]);
return access::rwp( m.mem + ((in_col + aux_col1)*m.n_rows + aux_row1) );
}
@@ -1420,7 +1475,27 @@ arma_inline
const eT*
subview<eT>::colptr(const uword in_col) const
{
return & m.mem[ (in_col + aux_col1)*m.n_rows + aux_row1 ];
return m.mem + ((in_col + aux_col1)*m.n_rows + aux_row1);
}
template<typename eT>
arma_inline
eT*
subview<eT>::startptr()
{
return access::rwp( m.mem + (aux_col1*m.n_rows + aux_row1) );
}
template<typename eT>
arma_inline
const eT*
subview<eT>::startptr() const
{
return m.mem + (aux_col1*m.n_rows + aux_row1);
}
@@ -1483,9 +1558,12 @@ subview<eT>::is_finite() const
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
for(uword ii=0; ii<local_n_cols; ++ii)
if(local_n_rows != 0)
{
if(arrayops::is_finite(colptr(ii), local_n_rows) == false) { return false; }
for(uword ii=0; ii<local_n_cols; ++ii)
{
if(arrayops::is_finite(colptr(ii), local_n_rows) == false) { return false; }
}
}
return true;
@@ -1503,9 +1581,12 @@ subview<eT>::is_zero(const typename get_pod_type<eT>::result tol) const
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
for(uword ii=0; ii<local_n_cols; ++ii)
if(local_n_rows != 0)
{
if(arrayops::is_zero(colptr(ii), local_n_rows, tol) == false) { return false; }
for(uword ii=0; ii<local_n_cols; ++ii)
{
if(arrayops::is_zero(colptr(ii), local_n_rows, tol) == false) { return false; }
}
}
return true;
@@ -1525,9 +1606,12 @@ subview<eT>::has_inf() const
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
for(uword ii=0; ii<local_n_cols; ++ii)
if(local_n_rows != 0)
{
if(arrayops::has_inf(colptr(ii), local_n_rows)) { return true; }
for(uword ii=0; ii<local_n_cols; ++ii)
{
if(arrayops::has_inf(colptr(ii), local_n_rows)) { return true; }
}
}
return false;
@@ -1547,9 +1631,12 @@ subview<eT>::has_nan() const
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
for(uword ii=0; ii<local_n_cols; ++ii)
if(local_n_rows != 0)
{
if(arrayops::has_nan(colptr(ii), local_n_rows)) { return true; }
for(uword ii=0; ii<local_n_cols; ++ii)
{
if(arrayops::has_nan(colptr(ii), local_n_rows)) { return true; }
}
}
return false;
@@ -1569,9 +1656,12 @@ subview<eT>::has_nonfinite() const
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
for(uword ii=0; ii<local_n_cols; ++ii)
if(local_n_rows != 0)
{
if(arrayops::is_finite(colptr(ii), local_n_rows) == false) { return true; }
for(uword ii=0; ii<local_n_cols; ++ii)
{
if(arrayops::is_finite(colptr(ii), local_n_rows) == false) { return true; }
}
}
return false;
@@ -1590,64 +1680,66 @@ subview<eT>::extract(Mat<eT>& out, const subview<eT>& in)
// NOTE: we're assuming that the matrix has already been set to the correct size and there is no aliasing;
// size setting and alias checking is done by either the Mat constructor or operator=()
const uword n_rows = in.n_rows; // number of rows in the subview
const uword n_cols = in.n_cols; // number of columns in the subview
arma_debug_print(arma_str::format("out.n_rows: %u; out.n_cols: %u; in.m.n_rows: %u; in.m.n_cols: %u") % out.n_rows % out.n_cols % in.m.n_rows % in.m.n_cols );
const uword n_rows = in.n_rows;
const uword n_cols = in.n_cols;
if(in.is_vec())
if( (n_rows == 0) || (n_cols == 0) ) { return; }
if(n_cols == 1)
{
if(n_cols == 1) // a column vector
{
arma_debug_print("subview::extract(): copying col");
// in.colptr(0) is the first column of the subview, taking into account any row offset
arrayops::copy( out.memptr(), in.colptr(0), n_rows );
}
else
if(n_rows == 1) // a row vector
{
arma_debug_print("subview::extract(): copying row)");
eT* out_mem = out.memptr();
const uword X_n_rows = in.m.n_rows;
const eT* Xptr = &(in.m.at(in.aux_row1,in.aux_col1));
uword j;
for(j=1; j < n_cols; j+=2)
{
const eT tmp1 = (*Xptr); Xptr += X_n_rows;
const eT tmp2 = (*Xptr); Xptr += X_n_rows;
(*out_mem) = tmp1; out_mem++;
(*out_mem) = tmp2; out_mem++;
}
if((j-1) < n_cols)
{
(*out_mem) = (*Xptr);
}
}
}
else // general submatrix
{
arma_debug_print("subview::extract(): general submatrix");
arma_debug_print("subview::extract(): copying col");
if( (in.aux_row1 == 0) && (n_rows == in.m.n_rows) )
// in.colptr(0) is the first column of the subview, taking into account any row offset
arrayops::copy( out.memptr(), in.colptr(0), n_rows );
return;
}
if(n_rows == 1)
{
arma_debug_print("subview::extract(): copying row");
eT* out_mem = out.memptr();
const uword X_n_rows = in.m.n_rows;
const eT* Xptr = &(in.m.at(in.aux_row1,in.aux_col1));
uword j;
for(j=1; j < n_cols; j+=2)
{
arrayops::copy( out.memptr(), in.colptr(0), in.n_elem );
const eT tmp1 = (*Xptr); Xptr += X_n_rows;
const eT tmp2 = (*Xptr); Xptr += X_n_rows;
(*out_mem) = tmp1; out_mem++;
(*out_mem) = tmp2; out_mem++;
}
else
if((j-1) < n_cols)
{
for(uword col=0; col < n_cols; ++col)
{
arrayops::copy( out.colptr(col), in.colptr(col), n_rows );
}
(*out_mem) = (*Xptr);
}
return;
}
if( (in.aux_row1 == 0) && (n_rows == in.m.n_rows) )
{
arma_debug_print("subview::extract(): contiguous submatrix");
arrayops::copy( out.memptr(), in.colptr(0), in.n_elem );
return;
}
arma_debug_print("subview::extract(): general submatrix");
for(uword col=0; col < n_cols; ++col)
{
arrayops::copy( out.colptr(col), in.colptr(col), n_rows );
}
}
@@ -1666,6 +1758,8 @@ subview<eT>::plus_inplace(Mat<eT>& out, const subview<eT>& in)
const uword n_rows = in.n_rows;
const uword n_cols = in.n_cols;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
if(n_rows == 1)
{
eT* out_mem = out.memptr();
@@ -1714,6 +1808,8 @@ subview<eT>::minus_inplace(Mat<eT>& out, const subview<eT>& in)
const uword n_rows = in.n_rows;
const uword n_cols = in.n_cols;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
if(n_rows == 1)
{
eT* out_mem = out.memptr();
@@ -1762,6 +1858,8 @@ subview<eT>::schur_inplace(Mat<eT>& out, const subview<eT>& in)
const uword n_rows = in.n_rows;
const uword n_cols = in.n_cols;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
if(n_rows == 1)
{
eT* out_mem = out.memptr();
@@ -1810,6 +1908,8 @@ subview<eT>::div_inplace(Mat<eT>& out, const subview<eT>& in)
const uword n_rows = in.n_rows;
const uword n_cols = in.n_cols;
if( (n_rows == 0) || (n_cols == 0) ) { return; }
if(n_rows == 1)
{
eT* out_mem = out.memptr();
@@ -2377,9 +2477,12 @@ subview<eT>::each_col(const std::function< void(Col<eT>&) >& F)
{
arma_debug_sigprint();
for(uword ii=0; ii < n_cols; ++ii)
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
for(uword ii=0; ii < local_n_cols; ++ii)
{
Col<eT> tmp(colptr(ii), n_rows, false, true);
Col<eT> tmp(colptr(ii), local_n_rows, false, true);
F(tmp);
}
}
@@ -2393,9 +2496,12 @@ subview<eT>::each_col(const std::function< void(const Col<eT>&) >& F) const
{
arma_debug_sigprint();
for(uword ii=0; ii < n_cols; ++ii)
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
for(uword ii=0; ii < local_n_cols; ++ii)
{
const Col<eT> tmp(colptr(ii), n_rows, false, true);
const Col<eT> tmp(colptr(ii), local_n_rows, false, true);
F(tmp);
}
}
@@ -2410,20 +2516,23 @@ subview<eT>::each_row(const std::function< void(Row<eT>&) >& F)
{
arma_debug_sigprint();
podarray<eT> array1(n_cols);
podarray<eT> array2(n_cols);
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
Row<eT> tmp1( array1.memptr(), n_cols, false, true );
Row<eT> tmp2( array2.memptr(), n_cols, false, true );
podarray<eT> array1(local_n_cols);
podarray<eT> array2(local_n_cols);
Row<eT> tmp1( array1.memptr(), local_n_cols, false, true );
Row<eT> tmp2( array2.memptr(), local_n_cols, false, true );
eT* tmp1_mem = tmp1.memptr();
eT* tmp2_mem = tmp2.memptr();
uword ii, jj;
for(ii=0, jj=1; jj < n_rows; ii+=2, jj+=2)
for(ii=0, jj=1; jj < local_n_rows; ii+=2, jj+=2)
{
for(uword col_id = 0; col_id < n_cols; ++col_id)
for(uword col_id = 0; col_id < local_n_cols; ++col_id)
{
const eT* col_mem = colptr(col_id);
@@ -2434,7 +2543,7 @@ subview<eT>::each_row(const std::function< void(Row<eT>&) >& F)
F(tmp1);
F(tmp2);
for(uword col_id = 0; col_id < n_cols; ++col_id)
for(uword col_id = 0; col_id < local_n_cols; ++col_id)
{
eT* col_mem = colptr(col_id);
@@ -2443,7 +2552,7 @@ subview<eT>::each_row(const std::function< void(Row<eT>&) >& F)
}
}
if(ii < n_rows)
if(ii < local_n_rows)
{
tmp1 = (*this).row(ii);
@@ -2462,20 +2571,23 @@ subview<eT>::each_row(const std::function< void(const Row<eT>&) >& F) const
{
arma_debug_sigprint();
podarray<eT> array1(n_cols);
podarray<eT> array2(n_cols);
const uword local_n_rows = n_rows;
const uword local_n_cols = n_cols;
Row<eT> tmp1( array1.memptr(), n_cols, false, true );
Row<eT> tmp2( array2.memptr(), n_cols, false, true );
podarray<eT> array1(local_n_cols);
podarray<eT> array2(local_n_cols);
Row<eT> tmp1( array1.memptr(), local_n_cols, false, true );
Row<eT> tmp2( array2.memptr(), local_n_cols, false, true );
eT* tmp1_mem = tmp1.memptr();
eT* tmp2_mem = tmp2.memptr();
uword ii, jj;
for(ii=0, jj=1; jj < n_rows; ii+=2, jj+=2)
for(ii=0, jj=1; jj < local_n_rows; ii+=2, jj+=2)
{
for(uword col_id = 0; col_id < n_cols; ++col_id)
for(uword col_id = 0; col_id < local_n_cols; ++col_id)
{
const eT* col_mem = colptr(col_id);
@@ -2487,7 +2599,7 @@ subview<eT>::each_row(const std::function< void(const Row<eT>&) >& F) const
F(tmp2);
}
if(ii < n_rows)
if(ii < local_n_rows)
{
tmp1 = (*this).row(ii);
@@ -3264,7 +3376,7 @@ template<typename eT>
inline
subview_col<eT>::subview_col(const Mat<eT>& in_m, const uword in_col)
: subview<eT>(in_m, 0, in_col, in_m.n_rows, 1)
, colmem(subview<eT>::colptr(0))
, colmem(subview<eT>::startptr())
{
arma_debug_sigprint();
}
@@ -3275,7 +3387,7 @@ template<typename eT>
inline
subview_col<eT>::subview_col(const Mat<eT>& in_m, const uword in_col, const uword in_row1, const uword in_n_rows)
: subview<eT>(in_m, in_row1, in_col, in_n_rows, 1)
, colmem(subview<eT>::colptr(0))
, colmem(subview<eT>::startptr())
{
arma_debug_sigprint();
}
@@ -4268,7 +4380,7 @@ template<typename eT>
inline
subview_row<eT>::subview_row(const Mat<eT>& in_m, const uword in_row)
: subview<eT>(in_m, in_row, 0, 1, in_m.n_cols)
, rowmem(subview<eT>::colptr(0))
, rowmem(subview<eT>::startptr())
{
arma_debug_sigprint();
}
@@ -4279,7 +4391,7 @@ template<typename eT>
inline
subview_row<eT>::subview_row(const Mat<eT>& in_m, const uword in_row, const uword in_col1, const uword in_n_cols)
: subview<eT>(in_m, in_row, in_col1, 1, in_n_cols)
, rowmem(subview<eT>::colptr(0))
, rowmem(subview<eT>::startptr())
{
arma_debug_sigprint();
}