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<div class="title">size.hpp</div> </div>
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<a href="size_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef VIENNACL_TRAITS_SIZE_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_TRAITS_SIZE_HPP_</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <string></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <fstream></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <sstream></span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="result__of_8hpp.html">viennacl/meta/result_of.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="predicate_8hpp.html">viennacl/meta/predicate.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#ifdef VIENNACL_WITH_UBLAS</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <boost/numeric/ublas/matrix_sparse.hpp></span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <boost/numeric/ublas/matrix.hpp></span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#ifdef VIENNACL_WITH_ARMADILLO</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <armadillo></span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#ifdef VIENNACL_WITH_EIGEN</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include <Eigen/Core></span></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include <Eigen/Sparse></span></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#ifdef VIENNACL_WITH_MTL4</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include <boost/numeric/mtl/mtl.hpp></span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#include <vector></span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#include <map></span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> {</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">namespace </span>traits</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment">//</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment">// Resize: Change the size of vectors and matrices</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment">//</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf"> 63</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(MatrixType & <a class="code" href="classviennacl_1_1matrix.html">matrix</a>, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols)</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  matrix.resize(rows, cols);</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">template</span><<span class="keyword">typename</span> VectorType></div>
<div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a2fcab95c46f98e1966141450bf4e0f12"> 70</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(VectorType & vec, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_size)</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> {</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  vec.resize(new_size);</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> }</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#ifdef VIENNACL_WITH_UBLAS</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment">//ublas needs separate treatment:</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(boost::numeric::ublas::compressed_matrix<ScalarType> & <a class="code" href="classviennacl_1_1matrix.html">matrix</a>,</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows,</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols)</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  matrix.resize(rows, cols, <span class="keyword">false</span>); <span class="comment">//Note: omitting third parameter leads to compile time error (not implemented in ublas <= 1.42)</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="preprocessor">#ifdef VIENNACL_WITH_MTL4</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(mtl::compressed2D<ScalarType> & matrix,</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows,</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols)</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  matrix.change_dim(rows, cols);</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> }</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(mtl::dense_vector<ScalarType> & vec,</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_size)</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> {</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  vec.change_dim(new_size);</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> }</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="preprocessor">#ifdef VIENNACL_WITH_ARMADILLO</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(arma::Mat<NumericT> & A,</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_rows,</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_cols)</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> {</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  A.resize(new_rows, new_cols);</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(arma::SpMat<NumericT> & A,</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_rows,</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_cols)</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> {</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  A.set_size(new_rows, new_cols);</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor">#ifdef VIENNACL_WITH_EIGEN</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">int</span> Options></div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(Eigen::Matrix<NumericT, Eigen::Dynamic, Eigen::Dynamic, Options> & m,</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_rows,</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_cols)</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  m.resize(new_rows, new_cols);</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> }</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">int</span> options></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(Eigen::SparseMatrix<T, options> & m,</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_rows,</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_cols)</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> {</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  m.resize(new_rows, new_cols);</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> }</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(Eigen::VectorXf & v,</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_size)</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span> {</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  v.resize(new_size);</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">resize</a>(Eigen::VectorXd & v,</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_size)</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  v.resize(new_size);</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> }</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment">//</span></div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment">// size1: No. of rows for matrices</span></div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="comment">//</span></div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a></div>
<div class="line"><a name="l00163"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2"> 163</a></span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(MatrixType <span class="keyword">const</span> & mat) { <span class="keywordflow">return</span> mat.size1(); }</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keyword">template</span><<span class="keyword">typename</span> RowType></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(std::vector< RowType > <span class="keyword">const</span> & mat) { <span class="keywordflow">return</span> mat.size(); }</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor">#ifdef VIENNACL_WITH_ARMADILLO</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(arma::Mat<NumericT> <span class="keyword">const</span> & A) { <span class="keywordflow">return</span> A.n_rows; }</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(arma::SpMat<NumericT> <span class="keyword">const</span> & A) { <span class="keywordflow">return</span> A.n_rows; }</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="preprocessor">#ifdef VIENNACL_WITH_EIGEN</span></div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">int</span> Options></div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(Eigen::Matrix<NumericT, Eigen::Dynamic, Eigen::Dynamic, Options> <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(m.rows()); }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">int</span> Options></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(Eigen::Map< Eigen::Matrix<NumericT, Eigen::Dynamic, Eigen::Dynamic, Options> > <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(m.rows()); }</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">int</span> options></div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(Eigen::SparseMatrix<T, options> & m) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(m.rows()); }</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="preprocessor">#ifdef VIENNACL_WITH_MTL4</span></div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keyword">typename</span> T></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(mtl::dense2D<NumericT, T> <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(m.num_rows()); }</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(mtl::compressed2D<NumericT> <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(m.num_rows()); }</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment">//</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="comment">// size2: No. of columns for matrices</span></div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="comment">//</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">typename</span> result_of::size_type<MatrixType>::type</div>
<div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98"> 201</a></span> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(MatrixType <span class="keyword">const</span> & mat) { <span class="keywordflow">return</span> mat.size2(); }</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">template</span><<span class="keyword">typename</span> RowType></div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a></div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(std::vector< RowType > <span class="keyword">const</span> & mat) { <span class="keywordflow">return</span> mat[0].size(); }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="preprocessor">#ifdef VIENNACL_WITH_ARMADILLO</span></div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(arma::Mat<NumericT> <span class="keyword">const</span> & A) { <span class="keywordflow">return</span> A.n_cols; }</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(arma::SpMat<NumericT> <span class="keyword">const</span> & A) { <span class="keywordflow">return</span> A.n_cols; }</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="preprocessor">#ifdef VIENNACL_WITH_EIGEN</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">int</span> Options></div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(Eigen::Matrix<NumericT, Eigen::Dynamic, Eigen::Dynamic, Options> <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> m.cols(); }</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">int</span> Options></div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(Eigen::Map< Eigen::Matrix<NumericT, Eigen::Dynamic, Eigen::Dynamic, Options> > <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> m.cols(); }</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">int</span> options></div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(Eigen::SparseMatrix<T, options> & m) { <span class="keywordflow">return</span> m.cols(); }</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="preprocessor">#ifdef VIENNACL_WITH_MTL4</span></div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keyword">typename</span> T></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(mtl::dense2D<NumericT, T> <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(m.num_cols()); }</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(mtl::compressed2D<NumericT> <span class="keyword">const</span> & m) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(m.num_cols()); }</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="comment">//</span></div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="comment">// size: Returns the length of vectors</span></div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="comment">//</span></div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> VectorType></div>
<div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0"> 239</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(VectorType <span class="keyword">const</span> & vec)</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> {</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">return</span> vec.size();</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> }</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">typename</span> VectorType></div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(<a class="code" href="classviennacl_1_1vector__expression.html">vector_expression<const SparseMatrixType, const VectorType, op_prod></a> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> {</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>());</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> }</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A, <span class="keyword">typename</span> VectorType></div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> circulant_matrix<T, A>, <span class="keyword">const</span> VectorType, op_prod> <span class="keyword">const</span> & proxy) { <span class="keywordflow">return</span> proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>().size1(); }</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A, <span class="keyword">typename</span> VectorType></div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> hankel_matrix<T, A>, <span class="keyword">const</span> VectorType, op_prod> <span class="keyword">const</span> & proxy) { <span class="keywordflow">return</span> proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>().size1(); }</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A, <span class="keyword">typename</span> VectorType></div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> toeplitz_matrix<T, A>, <span class="keyword">const</span> VectorType, op_prod> <span class="keyword">const</span> & proxy) { <span class="keywordflow">return</span> proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>().size1(); }</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A, <span class="keyword">typename</span> VectorType></div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> vandermonde_matrix<T, A>, <span class="keyword">const</span> VectorType, op_prod> <span class="keyword">const</span> & proxy) { <span class="keywordflow">return</span> proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>().size1(); }</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_base<NumericT>, <span class="keyword">const</span> vector_base<NumericT>, op_prod> <span class="keyword">const</span> & proxy) <span class="comment">//matrix-vector product</span></div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> {</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">return</span> proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>().size1();</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> }</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keyword">typename</span> LhsT, <span class="keyword">typename</span> RhsT, <span class="keyword">typename</span> OpT></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_base<NumericT>, <span class="keyword">const</span> vector_expression<LhsT, RhsT, OpT>, op_prod> <span class="keyword">const</span> & proxy) <span class="comment">//matrix-vector product</span></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> {</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">return</span> proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>().size1();</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_expression<<span class="keyword">const</span> matrix_base<NumericT>, <span class="keyword">const</span> matrix_base<NumericT>, op_trans>,</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> vector_base<NumericT>,</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  op_prod> <span class="keyword">const</span> & proxy) <span class="comment">//transposed matrix-vector product</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> {</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>().lhs().size2();</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> }</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> </div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="preprocessor">#ifdef VIENNACL_WITH_MTL4</span></div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType></div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(mtl::dense_vector<ScalarType> <span class="keyword">const</span> & vec) { <span class="keywordflow">return</span> vec.used_memory(); }</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="preprocessor">#ifdef VIENNACL_WITH_ARMADILLO</span></div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(arma::Mat<NumericT> <span class="keyword">const</span> & A) { <span class="keywordflow">return</span> A.n_elem; }</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="preprocessor">#ifdef VIENNACL_WITH_EIGEN</span></div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(Eigen::VectorXf <span class="keyword">const</span> & v) { <span class="keywordflow">return</span> v.rows(); }</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(Eigen::VectorXd <span class="keyword">const</span> & v) { <span class="keywordflow">return</span> v.rows(); }</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="keyword">template</span><<span class="keyword">typename</span> LHS, <span class="keyword">typename</span> RHS, <span class="keyword">typename</span> OP></div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<LHS, RHS, OP> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span> {</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(proxy.lhs());</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> }</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="keyword">template</span><<span class="keyword">typename</span> LHS, <span class="keyword">typename</span> RHS></div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<LHS, <span class="keyword">const</span> vector_tuple<RHS>, op_inner_prod> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> {</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">return</span> proxy.rhs().const_size();</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> }</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsT, <span class="keyword">typename</span> RhsT, <span class="keyword">typename</span> OpT, <span class="keyword">typename</span> VectorT></div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_expression<const LhsT, const RhsT, OpT>,</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  VectorT,</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  op_prod> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> {</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.lhs());</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> }</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsT, <span class="keyword">typename</span> RhsT, <span class="keyword">typename</span> OpT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_expression<const LhsT, const RhsT, OpT>,</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">const</span> vector_base<NumericT>,</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  op_prod> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> {</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.lhs());</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> }</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsT1, <span class="keyword">typename</span> RhsT1, <span class="keyword">typename</span> OpT1,</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">typename</span> LhsT2, <span class="keyword">typename</span> RhsT2, <span class="keyword">typename</span> OpT2></div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_expression<const LhsT1, const RhsT1, OpT1>,</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">const</span> vector_expression<const LhsT2, const RhsT2, OpT2>,</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  op_prod> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span> {</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.lhs());</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> }</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_base<NumericT>,</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keyword">const</span> matrix_base<NumericT>,</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  op_row_sum> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> {</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.lhs());</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> }</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsT, <span class="keyword">typename</span> RhsT, <span class="keyword">typename</span> OpT></div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_expression<const LhsT, const RhsT, OpT>,</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">const</span> matrix_expression<const LhsT, const RhsT, OpT>,</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  op_row_sum> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> {</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.lhs());</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> }</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_base<NumericT>,</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> matrix_base<NumericT>,</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  op_col_sum> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> {</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(proxy.lhs());</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> }</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsT, <span class="keyword">typename</span> RhsT, <span class="keyword">typename</span> OpT></div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(vector_expression<<span class="keyword">const</span> matrix_expression<const LhsT, const RhsT, OpT>,</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keyword">const</span> matrix_expression<const LhsT, const RhsT, OpT>,</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  op_col_sum> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span> {</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(proxy.lhs());</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> }</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span> <span class="comment">//</span></div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="comment">// internal_size: Returns the internal (padded) length of vectors</span></div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="comment">//</span></div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca"> 375</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">internal_size</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & vec)</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span> {</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">return</span> vec.<a class="code" href="classviennacl_1_1vector__base.html#a47350ccdc4b0a24eaea0e8d5f9fe7fec">internal_size</a>();</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> }</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="comment">//</span></div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="comment">// internal_size1: No. of internal (padded) rows for matrices</span></div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span> <span class="comment">//</span></div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00386"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d"> 386</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">internal_size1</a>(<a class="code" href="classviennacl_1_1matrix__base.html">matrix_base<NumericT></a> <span class="keyword">const</span> & mat) { <span class="keywordflow">return</span> mat.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(); }</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <span class="comment">//</span></div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="comment">// internal_size2: No. of internal (padded) columns for matrices</span></div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span> <span class="comment">//</span></div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1"> 394</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">internal_size2</a>(<a class="code" href="classviennacl_1_1matrix__base.html">matrix_base<NumericT></a> <span class="keyword">const</span> & mat) { <span class="keywordflow">return</span> mat.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(); }</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#aecf28134a157eb74997e1a94a4aa78e4"> 398</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aecf28134a157eb74997e1a94a4aa78e4">ld</a>(<a class="code" href="classviennacl_1_1matrix__base.html">matrix_base<NumericT></a> <span class="keyword">const</span> & mat)</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span> {</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">if</span> (mat.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>())</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">return</span> mat.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>();</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">return</span> mat.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>();</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> }</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00406"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a7c5079c3e852583702da1276d86b6430"> 406</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a7c5079c3e852583702da1276d86b6430">nld</a>(<a class="code" href="classviennacl_1_1matrix__base.html">matrix_base<NumericT></a> <span class="keyword">const</span> & mat)</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> {</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">if</span> (mat.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>())</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">return</span> mat.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>();</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">return</span> mat.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>();</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span> }</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span> </div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span> <span class="keyword">template</span><<span class="keyword">typename</span> LHS></div>
<div class="line"><a name="l00414"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a3f803db692ec1921dbf3149e21886c37"> 414</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(<a class="code" href="classviennacl_1_1vector__expression.html">vector_expression<LHS, const int, op_matrix_diag></a> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span> {</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordtype">int</span> k = proxy.<a class="code" href="classviennacl_1_1vector__expression.html#a2c4138095317b0d974978f88b9954a8a">rhs</a>();</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordtype">int</span> A_size1 = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>()));</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordtype">int</span> A_size2 = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>()));</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordtype">int</span> row_depth = <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#aef015779a92be597e546c3491cebf6c1">std::min</a>(A_size1, A_size1 + k);</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordtype">int</span> col_depth = <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#aef015779a92be597e546c3491cebf6c1">std::min</a>(A_size2, A_size2 - k);</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>(<a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#aef015779a92be597e546c3491cebf6c1">std::min</a>(row_depth, col_depth));</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> }</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="keyword">template</span><<span class="keyword">typename</span> LHS></div>
<div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#a681eafcfef063dc81c8c5e88033b062c"> 427</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(<a class="code" href="classviennacl_1_1vector__expression.html">vector_expression<LHS, const unsigned int, op_row></a> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span> {</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>(proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>());</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> <span class="keyword">template</span><<span class="keyword">typename</span> LHS></div>
<div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1traits.html#afe9d99ae805d9d94d30f10230401d346"> 433</a></span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(<a class="code" href="classviennacl_1_1vector__expression.html">vector_expression<LHS, const unsigned int, op_column></a> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span> {</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(proxy.<a class="code" href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">lhs</a>());</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span> }</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span> } <span class="comment">//namespace traits</span></div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a7c5079c3e852583702da1276d86b6430"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a7c5079c3e852583702da1276d86b6430">viennacl::traits::nld</a></div><div class="ttdeci">vcl_size_t nld(matrix_base< NumericT > const &mat)</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00406">size.hpp:406</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aedc426f055f1b4c5d00111cc8a46e50d"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a></div><div class="ttdeci">vcl_size_t internal_size1(matrix_base< NumericT > const &mat)</div><div class="ttdoc">Helper routine for obtaining the internal number of entries per row of a ViennaCL matrix...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00386">size.hpp:386</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa756f5d6820722094cae0d8b9bb6d5e2"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a></div><div class="ttdeci">vcl_size_t size1(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of rows of a matrix (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00163">size.hpp:163</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a2cd7269b5d00b5ebadab1c4b5a94a7c1"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a></div><div class="ttdeci">vcl_size_t internal_size2(matrix_base< NumericT > const &mat)</div><div class="ttdoc">Helper routine for obtaining the internal number of entries per column of a ViennaCL matrix...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00394">size.hpp:394</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html"><div class="ttname"><a href="classviennacl_1_1matrix__base.html">viennacl::matrix_base< NumericT ></a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a0871683c6bdf478a8875a9680c125729"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">viennacl::matrix_base::stride2</a></div><div class="ttdeci">size_type stride2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00234">matrix_def.hpp:234</a></div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="classviennacl_1_1matrix_html"><div class="ttname"><a href="classviennacl_1_1matrix.html">viennacl::matrix</a></div><div class="ttdoc">A dense matrix class. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00375">forwards.h:375</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a0cd530f8a76a5fb3d60a9230bea30bca"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a></div><div class="ttdeci">vcl_size_t internal_size(vector_base< NumericT > const &vec)</div><div class="ttdoc">Helper routine for obtaining the buffer length of a ViennaCL vector. </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00375">size.hpp:375</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__expression_html_aeb11d9ce8661771fa9750dd9d096c07f"><div class="ttname"><a href="classviennacl_1_1vector__expression.html#aeb11d9ce8661771fa9750dd9d096c07f">viennacl::vector_expression::lhs</a></div><div class="ttdeci">lhs_reference_type lhs() const </div><div class="ttdoc">Get left hand side operand. </div><div class="ttdef"><b>Definition:</b> <a href="vector_8hpp_source.html#l00074">vector.hpp:74</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__expression_html"><div class="ttname"><a href="classviennacl_1_1vector__expression.html">viennacl::vector_expression</a></div><div class="ttdoc">An expression template class that represents a binary operation that yields a vector. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00239">forwards.h:239</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a3658e7c29ac0f60a20cb5871f5b5fd98"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a></div><div class="ttdeci">result_of::size_type< MatrixType >::type size2(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of columns of a matrix (ViennaCL, uBLAS, etc...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00201">size.hpp:201</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa2344ea20469f55fbc15a8e9526494d0"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a></div><div class="ttdeci">vcl_size_t size(VectorType const &vec)</div><div class="ttdoc">Generic routine for obtaining the size of a vector (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00239">size.hpp:239</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aecf28134a157eb74997e1a94a4aa78e4"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aecf28134a157eb74997e1a94a4aa78e4">viennacl::traits::ld</a></div><div class="ttdeci">vcl_size_t ld(matrix_base< NumericT > const &mat)</div><div class="ttdoc">Helper routine for obtaining the internal number of entries per row of a ViennaCL matrix...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00398">size.hpp:398</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a20c289ba1c097b76963a280d18362ecf"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a20c289ba1c097b76963a280d18362ecf">viennacl::traits::resize</a></div><div class="ttdeci">void resize(MatrixType &matrix, vcl_size_t rows, vcl_size_t cols)</div><div class="ttdoc">Generic resize routine for resizing a matrix (ViennaCL, uBLAS, etc.) to a new size/dimension. </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00063">size.hpp:63</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__expression_html_a2c4138095317b0d974978f88b9954a8a"><div class="ttname"><a href="classviennacl_1_1vector__expression.html#a2c4138095317b0d974978f88b9954a8a">viennacl::vector_expression::rhs</a></div><div class="ttdeci">rhs_reference_type rhs() const </div><div class="ttdoc">Get right hand side operand. </div><div class="ttdef"><b>Definition:</b> <a href="vector_8hpp_source.html#l00077">vector.hpp:77</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a28087e6cd79a3eb13df18b40092966d3"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">viennacl::matrix_base::stride1</a></div><div class="ttdeci">size_type stride1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00232">matrix_def.hpp:232</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html"><div class="ttname"><a href="classviennacl_1_1vector__base.html">viennacl::vector_base< NumericT ></a></div></div>
<div class="ttc" id="namespaceviennacl_html_a98a0afcc513111ffa0bd138f891930df"><div class="ttname"><a href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">viennacl::vcl_size_t</a></div><div class="ttdeci">std::size_t vcl_size_t</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00075">forwards.h:75</a></div></div>
<div class="ttc" id="predicate_8hpp_html"><div class="ttname"><a href="predicate_8hpp.html">predicate.hpp</a></div><div class="ttdoc">All the predicates used within ViennaCL. Checks for expressions to be vectors, etc. </div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a15ec879f9e85a6fc209454b0bf137084"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">viennacl::matrix_base::row_major</a></div><div class="ttdeci">bool row_major() const </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00248">matrix_def.hpp:248</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a00e30fdc61081a73995b54175a91d220"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">viennacl::matrix_base::internal_size2</a></div><div class="ttdeci">size_type internal_size2() const </div><div class="ttdoc">Returns the internal number of columns. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00240">matrix_def.hpp:240</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a82018b4e169973bdfb9d3be68ceb5be0"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">viennacl::matrix_base::internal_size1</a></div><div class="ttdeci">size_type internal_size1() const </div><div class="ttdoc">Returns the internal number of rows. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00238">matrix_def.hpp:238</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_aef015779a92be597e546c3491cebf6c1"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#aef015779a92be597e546c3491cebf6c1">viennacl::linalg::detail::min</a></div><div class="ttdeci">T min(const T &lhs, const T &rhs)</div><div class="ttdoc">Minimum. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2detail_2bisect_2util_8hpp_source.html#l00045">util.hpp:45</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html_a47350ccdc4b0a24eaea0e8d5f9fe7fec"><div class="ttname"><a href="classviennacl_1_1vector__base.html#a47350ccdc4b0a24eaea0e8d5f9fe7fec">viennacl::vector_base::internal_size</a></div><div class="ttdeci">size_type internal_size() const </div><div class="ttdoc">Returns the internal length of the vector, which is given by size() plus the extra memory due to padd...</div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00120">vector_def.hpp:120</a></div></div>
<div class="ttc" id="result__of_8hpp_html"><div class="ttname"><a href="result__of_8hpp.html">result_of.hpp</a></div><div class="ttdoc">A collection of compile time type deductions. </div></div>
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