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<div class="title">compressed_matrix.hpp</div> </div>
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<a href="compressed__matrix_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_COMPRESSED_MATRIX_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_COMPRESSED_MATRIX_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 <vector></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <list></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <map></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="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="sparse__matrix__operations_8hpp.html">viennacl/linalg/sparse_matrix_operations.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="entry__proxy_8hpp.html">viennacl/tools/entry_proxy.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#ifdef VIENNACL_WITH_UBLAS</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <boost/numeric/ublas/matrix_sparse.hpp></span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1detail.html#ae58906ac8a192c572283fbaf6347dda5"> 50</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">copy_impl</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> & gpu_matrix,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros)</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  assert( (gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() == 0 || <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  assert( (gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() == 0 || <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</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>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), cpu_matrix.size1() + 1);</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), nonzeros);</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  std::vector<NumericT> elements(nonzeros);</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> row_index = 0;</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> data_index = 0;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator1 row_it = cpu_matrix.begin1();</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  row_it != cpu_matrix.end1();</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  ++row_it)</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  row_buffer.set(row_index, data_index);</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  ++row_index;</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator2 col_it = row_it.begin();</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  col_it != row_it.end();</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  ++col_it)</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  col_buffer.set(data_index, col_it.index2());</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  elements[data_index] = *col_it;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  ++data_index;</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  data_index = viennacl::tools::align_to_multiple<vcl_size_t>(data_index, AlignmentV); <span class="comment">//take care of alignment</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  row_buffer.set(row_index, data_index);</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>  gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a2846f5cd73ef4f03420e100a0acbcf04">set</a>(row_buffer.get(),</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  col_buffer.get(),</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  &elements[0],</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  cpu_matrix.size1(),</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  cpu_matrix.size2(),</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  nonzeros);</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment">//</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment">// host to device:</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment">//</span></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> <span class="comment">//provide copy-operation:</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#ab4e5611375f016807a103ff293d3dc8a"> 112</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> & gpu_matrix )</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> {</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> ( cpu_matrix.size1() > 0 && cpu_matrix.size2() > 0 )</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">//determine nonzeros:</span></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = 0;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator1 row_it = cpu_matrix.begin1();</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  row_it != cpu_matrix.end1();</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  ++row_it)</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>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> entries_per_row = 0;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator2 col_it = row_it.begin();</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  col_it != row_it.end();</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  ++col_it)</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  ++entries_per_row;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  num_entries += viennacl::tools::align_to_multiple<vcl_size_t>(entries_per_row, AlignmentV);</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> </div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">if</span> (num_entries == 0) <span class="comment">//we copy an empty matrix</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  num_entries = 1;</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">//set up matrix entries:</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">viennacl::detail::copy_impl</a>(cpu_matrix, gpu_matrix, num_entries);</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> </div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="comment">//adapted for std::vector< std::map < > > argument:</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> SizeT, <span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#afa72783b1449b3eef3fc2d5bab759871"> 149</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> std::vector< std::map<SizeT, NumericT> > & cpu_matrix,</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> & gpu_matrix )</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> {</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros = 0;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> max_col = 0;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<cpu_matrix.size(); ++i)</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">if</span> (cpu_matrix[i].<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>() > 0)</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  nonzeros += ((cpu_matrix[i].<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>() - 1) / AlignmentV + 1) * AlignmentV;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">if</span> (cpu_matrix[i].<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>() > 0)</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  max_col = std::max<vcl_size_t>(max_col, (cpu_matrix[i].rbegin())->first);</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">viennacl::detail::copy_impl</a>(<a class="code" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html">tools::const_sparse_matrix_adapter<NumericT, SizeT></a>(cpu_matrix, cpu_matrix.size(), max_col + 1),</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  gpu_matrix,</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  nonzeros);</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor">#ifdef VIENNACL_WITH_UBLAS</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType, <span class="keyword">typename</span> F, vcl_<span class="keywordtype">size_t</span> IB, <span class="keyword">typename</span> IA, <span class="keyword">typename</span> TA></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> boost::numeric::ublas::compressed_matrix<ScalarType, F, IB, IA, TA> & ublas_matrix,</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType, 1></a> & gpu_matrix)</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> {</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  assert( (gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() == 0 || <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(ublas_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  assert( (gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() == 0 || <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(ublas_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">//we just need to copy the CSR arrays:</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), ublas_matrix.size1() + 1);</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<=ublas_matrix.size1(); ++i)</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac31bfde381eb40e0349678252c444af9">set</a>(i, ublas_matrix.index1_data()[i]);</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), ublas_matrix.nnz());</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<ublas_matrix.nnz(); ++i)</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  col_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac31bfde381eb40e0349678252c444af9">set</a>(i, ublas_matrix.index2_data()[i]);</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a2846f5cd73ef4f03420e100a0acbcf04">set</a>(row_buffer.get(),</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  col_buffer.get(),</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  &(ublas_matrix.value_data()[0]),</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  ublas_matrix.size1(),</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  ublas_matrix.size2(),</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  ublas_matrix.nnz());</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> }</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="preprocessor">#ifdef VIENNACL_WITH_ARMADILLO</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(arma::SpMat<NumericT> <span class="keyword">const</span> & arma_matrix,</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> & vcl_matrix)</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>  assert( (vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() == 0 || <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(arma_matrix.n_rows) == vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  assert( (vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() == 0 || <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(arma_matrix.n_cols) == vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), arma_matrix.n_rows + 1);</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), arma_matrix.n_nonzero);</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<NumericT ></a> value_buffer(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), arma_matrix.n_nonzero);</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="comment">// Step 1: Count number of nonzeros in each row</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> col=0; col < static_cast<vcl_size_t>(arma_matrix.n_cols); ++col)</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> col_begin = <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(arma_matrix.col_ptrs[col]);</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> col_end = <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(arma_matrix.col_ptrs[col+1]);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = col_begin; i < col_end; ++i)</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = arma_matrix.row_indices[i];</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  row_buffer.set(row, row_buffer[row] + 1);</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  }</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// Step 2: Exclusive scan on row_buffer to obtain offsets</span></div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = 0;</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<row_buffer.size(); ++i)</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tmp = row_buffer[i];</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  row_buffer.set(i, offset);</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  offset += tmp;</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// Step 3: Fill data</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  std::vector<unsigned int> row_offsets(arma_matrix.n_rows);</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> col=0; col < static_cast<vcl_size_t>(arma_matrix.n_cols); ++col)</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> col_begin = <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(arma_matrix.col_ptrs[col]);</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> col_end = <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(arma_matrix.col_ptrs[col+1]);</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = col_begin; i < col_end; ++i)</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  {</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = arma_matrix.row_indices[i];</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  col_buffer.set(row_buffer[row] + row_offsets[row], col);</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  value_buffer.set(row_buffer[row] + row_offsets[row], arma_matrix.values[i]);</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  row_offsets[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] += 1;</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</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>  vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a2846f5cd73ef4f03420e100a0acbcf04">set</a>(row_buffer.get(), col_buffer.get(), <span class="keyword">reinterpret_cast<</span><a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>*<span class="keyword">></span>(value_buffer.get()),</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  arma_matrix.n_rows, arma_matrix.n_cols, arma_matrix.n_nonzero);</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="preprocessor">#endif</span></div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="preprocessor">#ifdef VIENNACL_WITH_EIGEN</span></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">int</span> flags, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> Eigen::SparseMatrix<NumericT, flags> & eigen_matrix,</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  compressed_matrix<NumericT, AlignmentV> & gpu_matrix)</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span> {</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  assert( (gpu_matrix.size1() == 0 || <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(eigen_matrix.rows()) == gpu_matrix.size1()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  assert( (gpu_matrix.size2() == 0 || <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(eigen_matrix.cols()) == gpu_matrix.size2()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</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>  std::vector< std::map<unsigned int, NumericT> > stl_matrix(eigen_matrix.rows());</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k=0; k < eigen_matrix.outerSize(); ++k)</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> Eigen::SparseMatrix<NumericT, flags>::InnerIterator it(eigen_matrix, k); it; ++it)</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  stl_matrix[it.row()][it.col()] = it.value();</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>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(tools::const_sparse_matrix_adapter<NumericT>(stl_matrix, eigen_matrix.rows(), eigen_matrix.cols()), gpu_matrix);</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="preprocessor">#ifdef VIENNACL_WITH_MTL4</span></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> mtl::compressed2D<NumericT> & cpu_matrix,</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  compressed_matrix<NumericT, AlignmentV> & gpu_matrix)</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> {</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  assert( (gpu_matrix.size1() == 0 || <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(cpu_matrix.num_rows()) == gpu_matrix.size1()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  assert( (gpu_matrix.size2() == 0 || <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(cpu_matrix.num_cols()) == gpu_matrix.size2()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">typedef</span> mtl::compressed2D<NumericT> MatrixType;</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  std::vector< std::map<unsigned int, NumericT> > stl_matrix(cpu_matrix.num_rows());</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">using</span> mtl::traits::range_generator;</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">using</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#aef015779a92be597e546c3491cebf6c1">mtl::traits::range::min</a>;</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// Choose between row and column traversal</span></div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> min<range_generator<mtl::tag::row, MatrixType>,</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  range_generator<mtl::tag::col, MatrixType> >::type range_type;</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  range_type my_range;</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="comment">// Type of outer cursor</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> range_type::type c_type;</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="comment">// Type of inner cursor</span></div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> mtl::traits::range_generator<mtl::tag::nz, c_type>::type ic_type;</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="comment">// Define the property maps</span></div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">typename</span> mtl::traits::row<MatrixType>::type <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>(cpu_matrix);</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">typename</span> mtl::traits::col<MatrixType>::type col(cpu_matrix);</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keyword">typename</span> mtl::traits::const_value<MatrixType>::type value(cpu_matrix);</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="comment">// Now iterate over the matrix</span></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">for</span> (c_type cursor(my_range.begin(cpu_matrix)), cend(my_range.end(cpu_matrix)); cursor != cend; ++cursor)</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">for</span> (ic_type icursor(mtl::begin<mtl::tag::nz>(cursor)), icend(mtl::end<mtl::tag::nz>(cursor)); icursor != icend; ++icursor)</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  stl_matrix[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>(*icursor)][col(*icursor)] = value(*icursor);</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>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(tools::const_sparse_matrix_adapter<NumericT>(stl_matrix, cpu_matrix.num_rows(), cpu_matrix.num_cols()), gpu_matrix);</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> }</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </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> </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> </div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="comment">//</span></div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <span class="comment">// device to host:</span></div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span> <span class="comment">//</span></div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#acee17c9f4826a3a7574c6d94fd1946c4"> 341</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> & gpu_matrix,</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  CPUMatrixT & cpu_matrix )</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>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">if</span> ( gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() > 0 && gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() > 0 )</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="comment">//get raw data from memory:</span></div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), cpu_matrix.size1() + 1);</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>());</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  std::vector<NumericT> elements(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>());</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="comment">//std::cout << "GPU->CPU, nonzeros: " << gpu_matrix.nnz() << std::endl;</span></div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), 0, row_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), row_buffer.get());</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), 0, col_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), col_buffer.get());</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), 0, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)* gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>(), &(elements[0]));</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="comment">//fill the cpu_matrix:</span></div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> data_index = 0;</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> row = 1; row <= gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">while</span> (data_index < row_buffer[row])</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">if</span> (col_buffer[data_index] >= gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>())</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  {</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  std::cerr << <span class="stringliteral">"ViennaCL encountered invalid data at colbuffer["</span> << data_index << <span class="stringliteral">"]: "</span> << col_buffer[data_index] << std::endl;</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  }</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">if</span> (std::fabs(elements[data_index]) > <span class="keyword">static_cast<</span><a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a><span class="keyword">></span>(0))</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  cpu_matrix(row-1, static_cast<vcl_size_t>(col_buffer[data_index])) = elements[data_index];</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  ++data_index;</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</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>  }</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="l00386"></a><span class="lineno"> 386</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#aeae943c139b8f5faf2ca261c1a919e4d"> 387</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> & gpu_matrix,</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  std::vector< std::map<unsigned int, NumericT> > & cpu_matrix)</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  assert( (cpu_matrix.size() == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">tools::sparse_matrix_adapter<NumericT></a> temp(cpu_matrix, gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>());</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(gpu_matrix, temp);</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span> }</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="preprocessor">#ifdef VIENNACL_WITH_UBLAS</span></div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV, <span class="keyword">typename</span> F, vcl_<span class="keywordtype">size_t</span> IB, <span class="keyword">typename</span> IA, <span class="keyword">typename</span> TA></div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType, AlignmentV></a> <span class="keyword">const</span> & gpu_matrix,</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  boost::numeric::ublas::compressed_matrix<ScalarType> & ublas_matrix)</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>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(ublas_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(ublas_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</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>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1);</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>());</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), 0, row_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), row_buffer.get());</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), 0, col_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), col_buffer.get());</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  ublas_matrix.clear();</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  ublas_matrix.reserve(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>());</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  ublas_matrix.set_filled(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1, gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>());</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<ublas_matrix.size1() + 1; ++i)</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  ublas_matrix.index1_data()[i] = row_buffer[i];</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<ublas_matrix.nnz(); ++i)</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  ublas_matrix.index2_data()[i] = col_buffer[i];</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>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), 0, <span class="keyword">sizeof</span>(<a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>) * gpu_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>(), &(ublas_matrix.value_data()[0]));</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> </div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> }</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="preprocessor">#ifdef VIENNACL_WITH_ARMADILLO</span></div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> & vcl_matrix,</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  arma::SpMat<NumericT> & arma_matrix)</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> {</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  assert( (static_cast<vcl_size_t>(arma_matrix.n_rows) == vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  assert( (static_cast<vcl_size_t>(arma_matrix.n_cols) == vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">if</span> ( vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() > 0 && vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() > 0 )</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="comment">//get raw data from memory:</span></div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1);</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>());</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<NumericT></a> elements (vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>());</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), 0, row_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), row_buffer.get());</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>(), 0, col_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), col_buffer.get());</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), 0, elements.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), elements.get());</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  arma_matrix.zeros();</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> data_index = 0;</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> row = 1; row <= vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">while</span> (data_index < row_buffer[row])</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  assert(col_buffer[data_index] < vcl_matrix.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() && bool(<span class="stringliteral">"ViennaCL encountered invalid data at col_buffer"</span>));</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">if</span> (elements[data_index] != static_cast<NumericT>(0.0))</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  arma_matrix(row-1, col_buffer[data_index]) = elements[data_index];</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  ++data_index;</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span> }</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span> </div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span> <span class="preprocessor">#ifdef VIENNACL_WITH_EIGEN</span></div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">int</span> flags, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(compressed_matrix<NumericT, AlignmentV> & gpu_matrix,</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  Eigen::SparseMatrix<NumericT, flags> & eigen_matrix)</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> {</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  assert( (static_cast<vcl_size_t>(eigen_matrix.rows()) == gpu_matrix.size1()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  assert( (static_cast<vcl_size_t>(eigen_matrix.cols()) == gpu_matrix.size2()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">if</span> ( gpu_matrix.size1() > 0 && gpu_matrix.size2() > 0 )</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="comment">//get raw data from memory:</span></div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.handle1(), gpu_matrix.size1() + 1);</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.handle2(), gpu_matrix.nnz());</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  std::vector<NumericT> elements(gpu_matrix.nnz());</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.handle1(), 0, row_buffer.raw_size(), row_buffer.get());</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.handle2(), 0, col_buffer.raw_size(), col_buffer.get());</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.handle(), 0, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)* gpu_matrix.nnz(), &(elements[0]));</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  eigen_matrix.setZero();</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> data_index = 0;</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> row = 1; row <= gpu_matrix.size1(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">while</span> (data_index < row_buffer[row])</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  assert(col_buffer[data_index] < gpu_matrix.size2() && bool(<span class="stringliteral">"ViennaCL encountered invalid data at col_buffer"</span>));</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">if</span> (elements[data_index] != static_cast<NumericT>(0.0))</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  eigen_matrix.insert(row-1, col_buffer[data_index]) = elements[data_index];</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  ++data_index;</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  }</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> }</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span> <span class="preprocessor">#ifdef VIENNACL_WITH_MTL4</span></div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(compressed_matrix<NumericT, AlignmentV> & gpu_matrix,</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  mtl::compressed2D<NumericT> & mtl4_matrix)</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span> {</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  assert( (static_cast<vcl_size_t>(mtl4_matrix.num_rows()) == gpu_matrix.size1()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  assert( (static_cast<vcl_size_t>(mtl4_matrix.num_cols()) == gpu_matrix.size2()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span> </div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">if</span> ( gpu_matrix.size1() > 0 && gpu_matrix.size2() > 0 )</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  {</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="comment">//get raw data from memory:</span></div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.handle1(), gpu_matrix.size1() + 1);</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.handle2(), gpu_matrix.nnz());</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  std::vector<NumericT> elements(gpu_matrix.nnz());</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.handle1(), 0, row_buffer.raw_size(), row_buffer.get());</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.handle2(), 0, col_buffer.raw_size(), col_buffer.get());</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.handle(), 0, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)* gpu_matrix.nnz(), &(elements[0]));</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="comment">//set_to_zero(mtl4_matrix);</span></div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="comment">//mtl4_matrix.change_dim(gpu_matrix.size1(), gpu_matrix.size2());</span></div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  mtl::matrix::inserter< mtl::compressed2D<NumericT> > ins(mtl4_matrix);</div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> data_index = 0;</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> row = 1; row <= gpu_matrix.size1(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">while</span> (data_index < row_buffer[row])</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  {</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  assert(col_buffer[data_index] < gpu_matrix.size2() && bool(<span class="stringliteral">"ViennaCL encountered invalid data at col_buffer"</span>));</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">if</span> (elements[data_index] != static_cast<NumericT>(0.0))</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  ins(row-1, col_buffer[data_index]) << <span class="keyword">typename</span> mtl::Collection< mtl::compressed2D<NumericT> >::value_type(elements[data_index]);</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  ++data_index;</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  }</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  }</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  }</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span> }</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span> <span class="keyword">template</span><<span class="keyword">class </span><a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV <span class="comment">/* see VCLForwards.h */</span>></div>
<div class="line"><a name="l00559"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html"> 559</a></span> <span class="keyword">class </span><a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix</a></div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span> {</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00562"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a39eacbebab3a34651a0d9f95dac2b0fd"> 562</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> <a class="code" href="classviennacl_1_1compressed__matrix.html#a39eacbebab3a34651a0d9f95dac2b0fd">handle_type</a>;</div>
<div class="line"><a name="l00563"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a7e091cadceec6f26365f86e0aa801a9b"> 563</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1scalar.html">scalar<typename viennacl::tools::CHECK_SCALAR_TEMPLATE_ARGUMENT<NumericT>::ResultType</a>> <a class="code" href="classviennacl_1_1compressed__matrix.html#a7e091cadceec6f26365f86e0aa801a9b">value_type</a>;</div>
<div class="line"><a name="l00564"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ab4f6380c8f46e373288b5a29f7061f14"> 564</a></span>  <span class="keyword">typedef</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="classviennacl_1_1compressed__matrix.html#ab4f6380c8f46e373288b5a29f7061f14">size_type</a>;</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div>
<div class="line"><a name="l00567"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ae1e3f7b28ef12f480099cd6713124dbf"> 567</a></span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#ae1e3f7b28ef12f480099cd6713124dbf">compressed_matrix</a>() : rows_(0), cols_(0), nonzeros_(0), row_block_num_(0) {}</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div>
<div class="line"><a name="l00576"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a2649de8171ce97afc5e62afef862be0a"> 576</a></span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#a2649de8171ce97afc5e62afef862be0a">compressed_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, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros = 0, <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> ctx = <a class="code" href="classviennacl_1_1context.html">viennacl::context</a>())</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  : rows_(rows), cols_(cols), nonzeros_(nonzeros), row_block_num_(0)</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  {</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  row_blocks_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span> </div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">if</span> (ctx.memory_type() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">OPENCL_MEMORY</a>)</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  {</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  row_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  col_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  elements_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  row_blocks_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  }</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">if</span> (rows > 0)</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  {</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>().<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * (rows + 1), ctx);</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<unsigned int></a> init_temporary(row_buffer_, <a class="code" href="classviennacl_1_1compressed__matrix.html#ab4f6380c8f46e373288b5a29f7061f14">size_type</a>(rows+1), 0, 1);</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  init_temporary = <a class="code" href="structviennacl_1_1zero__vector.html">viennacl::zero_vector<unsigned int></a>(<a class="code" href="classviennacl_1_1compressed__matrix.html#ab4f6380c8f46e373288b5a29f7061f14">size_type</a>(rows+1), ctx);</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  }</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">if</span> (nonzeros > 0)</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  {</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>().<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * nonzeros, ctx);</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * nonzeros, ctx);</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  }</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> </div>
<div class="line"><a name="l00612"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ad35fbeb8c4831787bca08e059dd3b799"> 612</a></span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#ad35fbeb8c4831787bca08e059dd3b799">compressed_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, <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> ctx)</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  : rows_(rows), cols_(cols), nonzeros_(0), row_block_num_(0)</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  {</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  row_blocks_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span> </div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">OPENCL_MEMORY</a>)</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  {</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  row_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  col_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  elements_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  row_blocks_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">if</span> (rows > 0)</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  {</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>().<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * (rows + 1), ctx);</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<unsigned int></a> init_temporary(row_buffer_, <a class="code" href="classviennacl_1_1compressed__matrix.html#ab4f6380c8f46e373288b5a29f7061f14">size_type</a>(rows+1), 0, 1);</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  init_temporary = <a class="code" href="structviennacl_1_1zero__vector.html">viennacl::zero_vector<unsigned int></a>(<a class="code" href="classviennacl_1_1compressed__matrix.html#ab4f6380c8f46e373288b5a29f7061f14">size_type</a>(rows+1), ctx);</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  }</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  }</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div>
<div class="line"><a name="l00641"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a77547c4be30a4a6e69f78dca71ba71c9"> 641</a></span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#a77547c4be30a4a6e69f78dca71ba71c9">compressed_matrix</a>(<a class="code" href="classviennacl_1_1context.html">viennacl::context</a> ctx) : rows_(0), cols_(0), nonzeros_(0), row_block_num_(0)</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  {</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  row_blocks_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span> </div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">OPENCL_MEMORY</a>)</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  {</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  row_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  col_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  elements_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  row_blocks_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  }</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  }</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span> </div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span> </div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#ae1e3f7b28ef12f480099cd6713124dbf">compressed_matrix</a>(cl_mem mem_row_buffer, cl_mem mem_col_buffer, cl_mem mem_elements,</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros) :</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  rows_(rows), cols_(cols), nonzeros_(nonzeros), row_block_num_(0)</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  {</div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>);</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  row_buffer_.opencl_handle() = mem_row_buffer;</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  row_buffer_.opencl_handle().inc(); <span class="comment">//prevents that the user-provided memory is deleted once the matrix object is destroyed.</span></div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(<span class="keyword">sizeof</span>(cl_uint) * (rows + 1));</div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span> </div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>);</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  col_buffer_.opencl_handle() = mem_col_buffer;</div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  col_buffer_.opencl_handle().inc(); <span class="comment">//prevents that the user-provided memory is deleted once the matrix object is destroyed.</span></div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(<span class="keyword">sizeof</span>(cl_uint) * nonzeros);</div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span> </div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>);</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  elements_.opencl_handle() = mem_elements;</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  elements_.opencl_handle().inc(); <span class="comment">//prevents that the user-provided memory is deleted once the matrix object is destroyed.</span></div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(<span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * nonzeros);</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="comment">//generate block information for CSR-adaptive:</span></div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  }</div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span> </div>
<div class="line"><a name="l00695"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a7084e85e012f08fde31b72e09d59275d"> 695</a></span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#a7084e85e012f08fde31b72e09d59275d">compressed_matrix</a>(<a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression<const compressed_matrix, const compressed_matrix, op_prod></a> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  : rows_(0), cols_(0), nonzeros_(0), row_block_num_(0)</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  {</div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> ctx = <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(proxy.<a class="code" href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">lhs</a>());</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span> </div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  row_blocks_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span> </div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">OPENCL_MEMORY</a>)</div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  {</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  row_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  col_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  elements_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  row_blocks_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  }</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span> </div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(proxy.<a class="code" href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">lhs</a>(), proxy.<a class="code" href="classviennacl_1_1matrix__expression.html#a5e1aa68cd901d54ed3e4bc56882a5047">rhs</a>(), *<span class="keyword">this</span>);</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  }</div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div>
<div class="line"><a name="l00720"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#add81b190f9c85bd6fa6730be771f0979"> 720</a></span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#add81b190f9c85bd6fa6730be771f0979">operator=</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix</a> <span class="keyword">const</span> & other)</div>
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  {</div>
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  assert( (rows_ == 0 || rows_ == other.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  assert( (cols_ == 0 || cols_ == other.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span> </div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  rows_ = other.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>();</div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  cols_ = other.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>();</div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  nonzeros_ = other.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>();</div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  row_block_num_ = other.row_block_num_;</div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span> </div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  viennacl::backend::typesafe_memory_copy<unsigned int>(other.row_buffer_, row_buffer_);</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  viennacl::backend::typesafe_memory_copy<unsigned int>(other.col_buffer_, col_buffer_);</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  viennacl::backend::typesafe_memory_copy<unsigned int>(other.row_blocks_, row_blocks_);</div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  viennacl::backend::typesafe_memory_copy<NumericT>(other.elements_, elements_);</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span> </div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  }</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div>
<div class="line"><a name="l00739"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ad0afce2e921c10b9e7b2234a6f513df6"> 739</a></span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#ad0afce2e921c10b9e7b2234a6f513df6">operator=</a>(<a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression<const compressed_matrix, const compressed_matrix, op_prod></a> <span class="keyword">const</span> & proxy)</div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  {</div>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  assert( (rows_ == 0 || rows_ == proxy.<a class="code" href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">lhs</a>().size1()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  assert( (cols_ == 0 || cols_ == proxy.<a class="code" href="classviennacl_1_1matrix__expression.html#a5e1aa68cd901d54ed3e4bc56882a5047">rhs</a>().size2()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span> </div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(proxy.<a class="code" href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">lhs</a>(), proxy.<a class="code" href="classviennacl_1_1matrix__expression.html#a5e1aa68cd901d54ed3e4bc56882a5047">rhs</a>(), *<span class="keyword">this</span>);</div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span> </div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  }</div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span> </div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div>
<div class="line"><a name="l00764"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a2846f5cd73ef4f03420e100a0acbcf04"> 764</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#a2846f5cd73ef4f03420e100a0acbcf04">set</a>(<span class="keyword">const</span> <span class="keywordtype">void</span> * row_jumper,</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <span class="keyword">const</span> <span class="keywordtype">void</span> * col_buffer,</div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * elements,</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows,</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols,</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros)</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  {</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  assert( (rows > 0) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Error in compressed_matrix::set(): Number of rows must be larger than zero!"</span>));</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  assert( (cols > 0) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Error in compressed_matrix::set(): Number of columns must be larger than zero!"</span>));</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  assert( (nonzeros > 0) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Error in compressed_matrix::set(): Number of nonzeros must be larger than zero!"</span>));</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="comment">//std::cout << "Setting memory: " << cols + 1 << ", " << nonzeros << std::endl;</span></div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="comment">//row_buffer_.switch_active_handle_id(viennacl::backend::OPENCL_MEMORY);</span></div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>(row_buffer_).<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * (rows + 1), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_buffer_), row_jumper);</div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span> </div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="comment">//col_buffer_.switch_active_handle_id(viennacl::backend::OPENCL_MEMORY);</span></div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>(col_buffer_).<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(col_buffer_), col_buffer);</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span> </div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="comment">//elements_.switch_active_handle_id(viennacl::backend::OPENCL_MEMORY);</span></div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(elements_), elements);</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span> </div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  nonzeros_ = nonzeros;</div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  rows_ = rows;</div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  cols_ = cols;</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span> </div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="comment">//generate block information for CSR-adaptive:</span></div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  }</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span> </div>
<div class="line"><a name="l00794"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe"> 794</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_nonzeros, <span class="keywordtype">bool</span> preserve = <span class="keyword">true</span>)</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  {</div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="keywordflow">if</span> (new_nonzeros > nonzeros_)</div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  {</div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordflow">if</span> (preserve)</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  {</div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> col_buffer_old;</div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> elements_old;</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a8548a37535eac92e886cb183182b618f">viennacl::backend::memory_shallow_copy</a>(col_buffer_, col_buffer_old);</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a8548a37535eac92e886cb183182b618f">viennacl::backend::memory_shallow_copy</a>(elements_, elements_old);</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span> </div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> size_deducer(col_buffer_);</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, size_deducer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * new_nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(col_buffer_));</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * new_nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(elements_));</div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span> </div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(col_buffer_old, col_buffer_, 0, 0, size_deducer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * nonzeros_);</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(elements_old, elements_, 0, 0, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)* nonzeros_);</div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  }</div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  {</div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> size_deducer(col_buffer_);</div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, size_deducer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * new_nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(col_buffer_));</div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * new_nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(elements_));</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  }</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span> </div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  nonzeros_ = new_nonzeros;</div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  }</div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  }</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span> </div>
<div class="line"><a name="l00829"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb"> 829</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">resize</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_size1, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> new_size2, <span class="keywordtype">bool</span> preserve = <span class="keyword">true</span>)</div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  {</div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  assert(new_size1 > 0 && new_size2 > 0 && <span class="keywordtype">bool</span>(<span class="stringliteral">"Cannot resize to zero size!"</span>));</div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keywordflow">if</span> (new_size1 != rows_ || new_size2 != cols_)</div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  {</div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keywordflow">if</span> (!preserve)</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  {</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> host_row_buffer(row_buffer_, new_size1 + 1);</div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>().<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * (new_size1 + 1), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_buffer_), host_row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">get</a>());</div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="comment">// faster version without initializing memory:</span></div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="comment">//viennacl::backend::memory_create(row_buffer_, viennacl::backend::typesafe_host_array<unsigned int>().element_size() * (new_size1 + 1), viennacl::traits::context(row_buffer_));</span></div>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  nonzeros_ = 0;</div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  }</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  {</div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  std::vector<std::map<unsigned int, NumericT> > stl_sparse_matrix;</div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="keywordflow">if</span> (rows_ > 0)</div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  {</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  stl_sparse_matrix.resize(rows_);</div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(*<span class="keyword">this</span>, stl_sparse_matrix);</div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  stl_sparse_matrix.resize(new_size1);</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  stl_sparse_matrix[0][0] = 0; <span class="comment">//enforces nonzero array sizes if matrix was initially empty</span></div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  }</div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span> </div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  stl_sparse_matrix.resize(new_size1);</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span> </div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="comment">//discard entries with column index larger than new_size2</span></div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keywordflow">if</span> (new_size2 < cols_ && rows_ > 0)</div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  {</div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<stl_sparse_matrix.size(); ++i)</div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  {</div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  std::list<unsigned int> to_delete;</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> std::map<unsigned int, NumericT>::iterator it = stl_sparse_matrix[i].begin();</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  it != stl_sparse_matrix[i].end();</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  ++it)</div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  {</div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <span class="keywordflow">if</span> (it->first >= new_size2)</div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  to_delete.push_back(it->first);</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  }</div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span> </div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <span class="keywordflow">for</span> (std::list<unsigned int>::iterator it = to_delete.begin(); it != to_delete.end(); ++it)</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  stl_sparse_matrix[i].erase(*it);</div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  }</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  }</div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span> </div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <a class="code" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">viennacl::tools::sparse_matrix_adapter<NumericT></a> adapted_matrix(stl_sparse_matrix, new_size1, new_size2);</div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  rows_ = new_size1;</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  cols_ = new_size2;</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(adapted_matrix, *<span class="keyword">this</span>);</div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  }</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span> </div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  rows_ = new_size1;</div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  cols_ = new_size2;</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  }</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  }</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span> </div>
<div class="line"><a name="l00888"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ae64788e11216b0d9fca181ce1d74fceb"> 888</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#ae64788e11216b0d9fca181ce1d74fceb">clear</a>()</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  {</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> host_row_buffer(row_buffer_, rows_ + 1);</div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> host_col_buffer(col_buffer_, 1);</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  std::vector<NumericT> host_elements(1);</div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span> </div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, host_row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * (rows_ + 1), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_buffer_), host_row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">get</a>());</div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, host_col_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * 1, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(col_buffer_), host_col_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">get</a>());</div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * 1, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(elements_), &(host_elements[0]));</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span> </div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  nonzeros_ = 0;</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  }</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div>
<div class="line"><a name="l00902"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a05371d35109ab1ec7caa90339f859d5a"> 902</a></span>  <a class="code" href="classviennacl_1_1entry__proxy.html">entry_proxy<NumericT></a> <a class="code" href="classviennacl_1_1compressed__matrix.html#a05371d35109ab1ec7caa90339f859d5a">operator()</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j)</div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  {</div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  assert( (i < rows_) && (j < cols_) && <span class="keywordtype">bool</span>(<span class="stringliteral">"compressed_matrix access out of bounds!"</span>));</div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span> </div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> index = element_index(i, j);</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span> </div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="comment">// check for element in sparsity pattern</span></div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keywordflow">if</span> (index < nonzeros_)</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1entry__proxy.html">entry_proxy<NumericT></a>(index, elements_);</div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span> </div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <span class="comment">// Element not found. Copying required. Very slow, but direct entry manipulation is painful anyway...</span></div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  std::vector< std::map<unsigned int, NumericT> > cpu_backup(rows_);</div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <a class="code" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">tools::sparse_matrix_adapter<NumericT></a> adapted_cpu_backup(cpu_backup, rows_, cols_);</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(*<span class="keyword">this</span>, adapted_cpu_backup);</div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  cpu_backup[i][<span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(j)] = 0.0;</div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(adapted_cpu_backup, *<span class="keyword">this</span>);</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  index = element_index(i, j);</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span> </div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  assert(index < nonzeros_);</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span> </div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1entry__proxy.html">entry_proxy<NumericT></a>(index, elements_);</div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  }</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span> </div>
<div class="line"><a name="l00927"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183"> 927</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> rows_; }</div>
<div class="line"><a name="l00929"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab"> 929</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> cols_; }</div>
<div class="line"><a name="l00931"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed"> 931</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> nonzeros_; }</div>
<div class="line"><a name="l00933"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701"> 933</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">blocks1</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> row_block_num_; }</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span> </div>
<div class="line"><a name="l00936"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106"> 936</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> row_buffer_; }</div>
<div class="line"><a name="l00938"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2"> 938</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> col_buffer_; }</div>
<div class="line"><a name="l00940"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a"> 940</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a">handle3</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> row_blocks_; }</div>
<div class="line"><a name="l00942"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562"> 942</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> elements_; }</div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span> </div>
<div class="line"><a name="l00945"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a750ff833a375e9637fcdcbfd279017d0"> 945</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a750ff833a375e9637fcdcbfd279017d0">handle1</a>() { <span class="keywordflow">return</span> row_buffer_; }</div>
<div class="line"><a name="l00947"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a8e69dd74e6a19d936348a018dfc80117"> 947</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a8e69dd74e6a19d936348a018dfc80117">handle2</a>() { <span class="keywordflow">return</span> col_buffer_; }</div>
<div class="line"><a name="l00949"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a3fd255ade892fe11bd90413d61bb61cf"> 949</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a3fd255ade892fe11bd90413d61bb61cf">handle3</a>() { <span class="keywordflow">return</span> row_blocks_; }</div>
<div class="line"><a name="l00951"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a1c173b6accbcd0267b287ed7ec040817"> 951</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__matrix.html#a1c173b6accbcd0267b287ed7ec040817">handle</a>() { <span class="keywordflow">return</span> elements_; }</div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span> </div>
<div class="line"><a name="l00957"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0"> 957</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0">switch_memory_context</a>(<a class="code" href="classviennacl_1_1context.html">viennacl::context</a> new_ctx)</div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  {</div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  viennacl::backend::switch_memory_context<unsigned int>(row_buffer_, new_ctx);</div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  viennacl::backend::switch_memory_context<unsigned int>(col_buffer_, new_ctx);</div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  viennacl::backend::switch_memory_context<unsigned int>(row_blocks_, new_ctx);</div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  viennacl::backend::switch_memory_context<NumericT>(elements_, new_ctx);</div>
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  }</div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span> </div>
<div class="line"><a name="l00966"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#a267b61ec8ce92f739f15e9cc1490ad1b"> 966</a></span>  <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8">viennacl::memory_types</a> <a class="code" href="classviennacl_1_1compressed__matrix.html#a267b61ec8ce92f739f15e9cc1490ad1b">memory_context</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  <span class="keywordflow">return</span> row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>();</div>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  }</div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span> </div>
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span> </div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> element_index(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j)</div>
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  {</div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="comment">//read row indices</span></div>
<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_indices(row_buffer_, 2);</div>
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(row_buffer_, row_indices.element_size()*i, row_indices.element_size()*2, row_indices.get());</div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span> </div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="comment">//get column indices for row i:</span></div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_indices(col_buffer_, row_indices[1] - row_indices[0]);</div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(col_buffer_, col_indices.element_size()*row_indices[0], row_indices.element_size()*col_indices.size(), col_indices.get());</div>
<div class="line"><a name="l00983"></a><span class="lineno"> 983</span> </div>
<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> k=0; k<col_indices.size(); ++k)</div>
<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  {</div>
<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="keywordflow">if</span> (col_indices[k] == j)</div>
<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keywordflow">return</span> row_indices[0] + k;</div>
<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  }</div>
<div class="line"><a name="l00989"></a><span class="lineno"> 989</span> </div>
<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="comment">// if not found, return index past the end of the matrix (cf. matrix.end() in the spirit of the STL)</span></div>
<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keywordflow">return</span> nonzeros_;</div>
<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  }</div>
<div class="line"><a name="l00993"></a><span class="lineno"> 993</span> </div>
<div class="line"><a name="l00994"></a><span class="lineno"> 994</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00999"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06"> 999</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>()</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  {</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(row_buffer_, rows_ + 1);</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(row_buffer_, 0, row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1a408130e0f633ffb1d12122873e3592">raw_size</a>(), row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">get</a>());</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> </div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_blocks(row_buffer_, rows_ + 1);</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span> </div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries_in_current_batch = 0;</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span> </div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> shared_mem_size = 1024; <span class="comment">// number of column indices loaded to shared memory, number of floating point values loaded to shared memory</span></div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span> </div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  row_block_num_ = 0;</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  row_blocks.set(0, 0);</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<rows_; ++i)</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  {</div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> entries_in_row = <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>(row_buffer[i+1]) - <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>(row_buffer[i]);</div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  num_entries_in_current_batch += entries_in_row;</div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> </div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <span class="keywordflow">if</span> (num_entries_in_current_batch > shared_mem_size)</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  {</div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows_in_batch = i - row_blocks[row_block_num_];</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <span class="keywordflow">if</span> (rows_in_batch > 0) <span class="comment">// at least one full row is in the batch. Use current row in next batch.</span></div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  row_blocks.set(++row_block_num_, i--);</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <span class="keywordflow">else</span> <span class="comment">// row is larger than buffer in shared memory</span></div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  row_blocks.set(++row_block_num_, i+1);</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  num_entries_in_current_batch = 0;</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  }</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  }</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <span class="keywordflow">if</span> (num_entries_in_current_batch > 0)</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  row_blocks.set(++row_block_num_, rows_);</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span> </div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keywordflow">if</span> (row_block_num_ > 0) <span class="comment">//matrix might be empty...</span></div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_blocks_,</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  row_blocks.element_size() * (row_block_num_ + 1),</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_buffer_), row_blocks.get());</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span> </div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  }</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span> </div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <span class="comment">// /** @brief Copy constructor is by now not available. */</span></div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="comment">//compressed_matrix(compressed_matrix const &);</span></div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> </div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> </div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows_;</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols_;</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros_;</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> row_block_num_;</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#a39eacbebab3a34651a0d9f95dac2b0fd">handle_type</a> row_buffer_;</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#a39eacbebab3a34651a0d9f95dac2b0fd">handle_type</a> row_blocks_;</div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#a39eacbebab3a34651a0d9f95dac2b0fd">handle_type</a> col_buffer_;</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html#a39eacbebab3a34651a0d9f95dac2b0fd">handle_type</a> elements_;</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> };</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span> </div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l01059"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a2e37765605f0b2728573419f0f6e691b"> 1059</a></span> std::ostream & operator<<(std::ostream & os, compressed_matrix<NumericT, AlignmentV> <span class="keyword">const</span> & A)</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> {</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  std::vector<std::map<unsigned int, NumericT> > tmp(A.size1());</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(A, tmp);</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  os << <span class="stringliteral">"compressed_matrix of size ("</span> << A.size1() << <span class="stringliteral">", "</span> << A.size2() << <span class="stringliteral">") with "</span> << A.nnz() << <span class="stringliteral">" nonzeros:"</span> << std::endl;</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span> </div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<A.size1(); ++i)</div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  {</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> std::map<unsigned int, NumericT>::const_iterator it = tmp[i].begin(); it != tmp[i].end(); ++it)</div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  os << <span class="stringliteral">" ("</span> << i << <span class="stringliteral">", "</span> << it->first << <span class="stringliteral">")\t"</span> << it->second << std::endl;</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  }</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  <span class="keywordflow">return</span> os;</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span> }</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> </div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> <span class="comment">//</span></div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span> <span class="comment">// Specify available operations:</span></div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> <span class="comment">//</span></div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span> </div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span> {</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span> <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span> {</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="comment">// x = A * y</span></div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A></div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, <a class="code" href="structop__assign.html">op_assign</a>, vector_expression<const compressed_matrix<T, A>, const vector_base<T>, op_prod> ></div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  {</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_matrix<T, A>, <span class="keyword">const</span> vector_base<T>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  {</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="comment">// check for the special case x = A * x</span></div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(lhs) == <a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(rhs.rhs()))</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  {</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(lhs);</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), temp, T(0));</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  lhs = temp;</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  }</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), lhs, T(0));</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  }</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  };</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> </div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A></div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_add, vector_expression<const compressed_matrix<T, A>, const vector_base<T>, op_prod> ></div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  {</div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_matrix<T, A>, <span class="keyword">const</span> vector_base<T>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  {</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <span class="comment">// check for the special case x += A * x</span></div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(lhs) == <a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(rhs.rhs()))</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  {</div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(lhs);</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), temp, T(0));</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  lhs += temp;</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  }</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), lhs, T(1));</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  }</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  };</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> </div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A></div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_sub, vector_expression<const compressed_matrix<T, A>, const vector_base<T>, op_prod> ></div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  {</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_matrix<T, A>, <span class="keyword">const</span> vector_base<T>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  {</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <span class="comment">// check for the special case x -= A * x</span></div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(lhs) == <a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(rhs.rhs()))</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  {</div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(lhs);</div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), temp, T(0));</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  lhs -= temp;</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  }</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(-1), lhs, T(1));</div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  }</div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  };</div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> </div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span> </div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  <span class="comment">// x = A * vec_op</span></div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</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> LHS, <span class="keyword">typename</span> RHS, <span class="keyword">typename</span> OP></div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, <a class="code" href="structop__assign.html">op_assign</a>, vector_expression<const compressed_matrix<T, A>, const vector_expression<const LHS, const RHS, OP>, op_prod> ></div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  {</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_matrix<T, A>, <span class="keyword">const</span> vector_expression<const LHS, const RHS, OP>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  {</div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(rhs.rhs(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(rhs));</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), temp, lhs);</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  }</div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  };</div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span> </div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <span class="comment">// x = A * vec_op</span></div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</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> LHS, <span class="keyword">typename</span> RHS, <span class="keyword">typename</span> OP></div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_add, vector_expression<const compressed_matrix<T, A>, vector_expression<const LHS, const RHS, OP>, op_prod> ></div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  {</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_matrix<T, A>, vector_expression<const LHS, const RHS, OP>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  {</div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(rhs.rhs(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(rhs));</div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp_result(lhs);</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), temp, temp_result);</div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  lhs += temp_result;</div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  }</div>
<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  };</div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span> </div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="comment">// x = A * vec_op</span></div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</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> LHS, <span class="keyword">typename</span> RHS, <span class="keyword">typename</span> OP></div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_sub, vector_expression<const compressed_matrix<T, A>, const vector_expression<const LHS, const RHS, OP>, op_prod> ></div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  {</div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_matrix<T, A>, <span class="keyword">const</span> vector_expression<const LHS, const RHS, OP>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  {</div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(rhs.rhs(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(rhs));</div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp_result(lhs);</div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), temp, temp_result);</div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  lhs -= temp_result;</div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  }</div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  };</div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span> </div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> } <span class="comment">// namespace detail</span></div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span> } <span class="comment">// namespace linalg</span></div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span> <span class="comment"></span>}</div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span> </div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a4fc12fc4abfef4a1426575a2d73f18ab"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">viennacl::compressed_matrix::size2</a></div><div class="ttdeci">const vcl_size_t & size2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00929">compressed_matrix.hpp:929</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array</a></div><div class="ttdoc">Helper class implementing an array on the host. Default case: No conversion necessary. </div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00092">util.hpp:92</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_ac8646f4841c47048a1d2e004b9536af8"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">viennacl::backend::typesafe_host_array::element_size</a></div><div class="ttdeci">vcl_size_t element_size() const </div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00112">util.hpp:112</a></div></div>
<div class="ttc" id="classviennacl_1_1scalar_html"><div class="ttname"><a href="classviennacl_1_1scalar.html">viennacl::scalar</a></div><div class="ttdoc">This class represents a single scalar value on the GPU and behaves mostly like a built-in scalar type...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00227">forwards.h:227</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a463cf1739f9cdd387aa185cb574db183"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">viennacl::compressed_matrix::size1</a></div><div class="ttdeci">const vcl_size_t & size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00927">compressed_matrix.hpp:927</a></div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_aa19a80e2090dbdc953d658b1277221c0"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0">viennacl::compressed_matrix::switch_memory_context</a></div><div class="ttdeci">void switch_memory_context(viennacl::context new_ctx)</div><div class="ttdoc">Switches the memory context of the matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00957">compressed_matrix.hpp:957</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="entry__proxy_8hpp_html"><div class="ttname"><a href="entry__proxy_8hpp.html">entry_proxy.hpp</a></div><div class="ttdoc">A proxy class for entries in a vector. </div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00349">forwards.h:349</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a></div><div class="ttdoc">Expression template class for representing a tree of expressions which ultimately result in a matrix...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00341">forwards.h:341</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="structviennacl_1_1zero__vector_html"><div class="ttname"><a href="structviennacl_1_1zero__vector.html">viennacl::zero_vector</a></div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00093">vector_def.hpp:93</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_a1727eeb845f50cf5bd51ef54c5938b8c"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">viennacl::backend::typesafe_host_array::get</a></div><div class="ttdeci">void * get()</div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00110">util.hpp:110</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a62854cfd6f04404b274f8ede36f63e2d"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a></div><div class="ttdeci">void memory_read(mem_handle const &src_buffer, vcl_size_t src_offset, vcl_size_t bytes_to_read, void *ptr, bool async=false)</div><div class="ttdoc">Reads data from a buffer back to main RAM. </div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00261">memory.hpp:261</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="classviennacl_1_1compressed__matrix_html_a87a0ad5f26983b1c2d24ee302d886562"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">viennacl::compressed_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00942">compressed_matrix.hpp:942</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_af71dec61a70e8df4f78a527aa989a106"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">viennacl::compressed_matrix::handle1</a></div><div class="ttdeci">const handle_type & handle1() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00936">compressed_matrix.hpp:936</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ae69ca21ded644fdd0c7a5168011b13ed"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">viennacl::compressed_matrix::nnz</a></div><div class="ttdeci">const vcl_size_t & nnz() const </div><div class="ttdoc">Returns the number of nonzero entries. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00931">compressed_matrix.hpp:931</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_1_1detail_html_af9f9cc6c50debc5b1d93e458d1fd392a"><div class="ttname"><a href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">viennacl::backend::detail::element_size</a></div><div class="ttdeci">vcl_size_t element_size(memory_types)</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00299">memory.hpp:299</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="classviennacl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1context.html">viennacl::context</a></div><div class="ttdoc">Represents a generic 'context' similar to an OpenCL context, but is backend-agnostic and thus also su...</div><div class="ttdef"><b>Definition:</b> <a href="context_8hpp_source.html#l00039">context.hpp:39</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ab5922a97b73b869fbeeb6a2fa40e3b06"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">viennacl::compressed_matrix::generate_row_block_information</a></div><div class="ttdeci">void generate_row_block_information()</div><div class="ttdoc">Builds the row block information needed for fast sparse matrix-vector multiplications. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00999">compressed_matrix.hpp:999</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="classviennacl_1_1compressed__matrix_html_a05371d35109ab1ec7caa90339f859d5a"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a05371d35109ab1ec7caa90339f859d5a">viennacl::compressed_matrix::operator()</a></div><div class="ttdeci">entry_proxy< NumericT > operator()(vcl_size_t i, vcl_size_t j)</div><div class="ttdoc">Returns a reference to the (i,j)-th entry of the sparse matrix. If (i,j) does not exist (zero)...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00902">compressed_matrix.hpp:902</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a3fd255ade892fe11bd90413d61bb61cf"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a3fd255ade892fe11bd90413d61bb61cf">viennacl::compressed_matrix::handle3</a></div><div class="ttdeci">handle_type & handle3()</div><div class="ttdoc">Returns the OpenCL handle to the row block array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00949">compressed_matrix.hpp:949</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a1c173b6accbcd0267b287ed7ec040817"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a1c173b6accbcd0267b287ed7ec040817">viennacl::compressed_matrix::handle</a></div><div class="ttdeci">handle_type & handle()</div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00951">compressed_matrix.hpp:951</a></div></div>
<div class="ttc" id="sparse__matrix__operations_8hpp_html"><div class="ttname"><a href="sparse__matrix__operations_8hpp.html">sparse_matrix_operations.hpp</a></div><div class="ttdoc">Implementations of operations using sparse matrices. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a91f5145351151a66f916bdc3901206f2"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">viennacl::compressed_matrix::handle2</a></div><div class="ttdeci">const handle_type & handle2() const </div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00938">compressed_matrix.hpp:938</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< unsigned int ></a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ae64788e11216b0d9fca181ce1d74fceb"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ae64788e11216b0d9fca181ce1d74fceb">viennacl::compressed_matrix::clear</a></div><div class="ttdeci">void clear()</div><div class="ttdoc">Resets all entries in the matrix back to zero without changing the matrix size. Resets the sparsity p...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00888">compressed_matrix.hpp:888</a></div></div>
<div class="ttc" id="classviennacl_1_1tools_1_1const__sparse__matrix__adapter_html"><div class="ttname"><a href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html">viennacl::tools::const_sparse_matrix_adapter</a></div><div class="ttdoc">Adapts a constant sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic ub...</div><div class="ttdef"><b>Definition:</b> <a href="adapter_8hpp_source.html#l00183">adapter.hpp:183</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a7e091cadceec6f26365f86e0aa801a9b"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a7e091cadceec6f26365f86e0aa801a9b">viennacl::compressed_matrix::value_type</a></div><div class="ttdeci">scalar< typename viennacl::tools::CHECK_SCALAR_TEMPLATE_ARGUMENT< NumericT >::ResultType > value_type</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00563">compressed_matrix.hpp:563</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="classviennacl_1_1compressed__matrix_html_ab4f6380c8f46e373288b5a29f7061f14"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ab4f6380c8f46e373288b5a29f7061f14">viennacl::compressed_matrix::size_type</a></div><div class="ttdeci">vcl_size_t size_type</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00564">compressed_matrix.hpp:564</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00266">forwards.h:266</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ad35fbeb8c4831787bca08e059dd3b799"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ad35fbeb8c4831787bca08e059dd3b799">viennacl::compressed_matrix::compressed_matrix</a></div><div class="ttdeci">compressed_matrix(vcl_size_t rows, vcl_size_t cols, viennacl::context ctx)</div><div class="ttdoc">Construction of a compressed matrix with the supplied number of rows and columns. If the number of no...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00612">compressed_matrix.hpp:612</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a0a574e6cd04ca0e42298b4ab845700e4"><div class="ttname"><a href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">viennacl::row</a></div><div class="ttdeci">vector_expression< const matrix_base< NumericT, F >, const unsigned int, op_row > row(const matrix_base< NumericT, F > &A, unsigned int i)</div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00910">matrix.hpp:910</a></div></div>
<div class="ttc" id="classviennacl_1_1context_html_aadf575d49ed144e8fa4707cdad69c349"><div class="ttname"><a href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">viennacl::context::memory_type</a></div><div class="ttdeci">viennacl::memory_types memory_type() const </div><div class="ttdef"><b>Definition:</b> <a href="context_8hpp_source.html#l00076">context.hpp:76</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1detail_html_a4b65590ba7d3edb355ff50e46ea26195"><div class="ttname"><a href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">viennacl::detail::copy_impl</a></div><div class="ttdeci">void copy_impl(const CPUMatrixT &cpu_matrix, compressed_compressed_matrix< NumericT > &gpu_matrix, vcl_size_t nonzero_rows, vcl_size_t nonzeros)</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00041">compressed_compressed_matrix.hpp:41</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a267b61ec8ce92f739f15e9cc1490ad1b"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a267b61ec8ce92f739f15e9cc1490ad1b">viennacl::compressed_matrix::memory_context</a></div><div class="ttdeci">viennacl::memory_types memory_context() const </div><div class="ttdoc">Returns the current memory context to determine whether the matrix is set up for OpenMP, OpenCL, or CUDA. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00966">compressed_matrix.hpp:966</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html_a5e1aa68cd901d54ed3e4bc56882a5047"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html#a5e1aa68cd901d54ed3e4bc56882a5047">viennacl::matrix_expression::rhs</a></div><div class="ttdeci">RHS & rhs() const </div><div class="ttdoc">Get right hand side operand. </div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00069">matrix.hpp:69</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_aba08ea5f9d1c12dff5da58e0dff7a6fe"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">viennacl::compressed_matrix::reserve</a></div><div class="ttdeci">void reserve(vcl_size_t new_nonzeros, bool preserve=true)</div><div class="ttdoc">Allocate memory for the supplied number of nonzeros in the matrix. Old values are preserved...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00794">compressed_matrix.hpp:794</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ac5ea989c9c8474fabafa9dd905f0787a"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a">viennacl::compressed_matrix::handle3</a></div><div class="ttdeci">const handle_type & handle3() const </div><div class="ttdoc">Returns the OpenCL handle to the row block array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00940">compressed_matrix.hpp:940</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a750ff833a375e9637fcdcbfd279017d0"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a750ff833a375e9637fcdcbfd279017d0">viennacl::compressed_matrix::handle1</a></div><div class="ttdeci">handle_type & handle1()</div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00945">compressed_matrix.hpp:945</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a2649de8171ce97afc5e62afef862be0a"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a2649de8171ce97afc5e62afef862be0a">viennacl::compressed_matrix::compressed_matrix</a></div><div class="ttdeci">compressed_matrix(vcl_size_t rows, vcl_size_t cols, vcl_size_t nonzeros=0, viennacl::context ctx=viennacl::context())</div><div class="ttdoc">Construction of a compressed matrix with the supplied number of rows and columns. If the number of no...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00576">compressed_matrix.hpp:576</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_ac13e99f562746d6682116dec1e13a7da"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">viennacl::backend::mem_handle::switch_active_handle_id</a></div><div class="ttdeci">void switch_active_handle_id(memory_types new_id)</div><div class="ttdoc">Switches the currently active handle. If no support for that backend is provided, an exception is thr...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00121">mem_handle.hpp:121</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a39a91fd7aa68ebf64bd7bfa409732ec0"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a></div><div class="ttdeci">void memory_copy(mem_handle const &src_buffer, mem_handle &dst_buffer, vcl_size_t src_offset, vcl_size_t dst_offset, vcl_size_t bytes_to_copy)</div><div class="ttdoc">Copies 'bytes_to_copy' bytes from address 'src_buffer + src_offset' to memory starting at address 'ds...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00140">memory.hpp:140</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a77547c4be30a4a6e69f78dca71ba71c9"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a77547c4be30a4a6e69f78dca71ba71c9">viennacl::compressed_matrix::compressed_matrix</a></div><div class="ttdeci">compressed_matrix(viennacl::context ctx)</div><div class="ttdoc">Creates an empty compressed_matrix, but sets the respective context information. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00641">compressed_matrix.hpp:641</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a6707f5dab8f482170d2046a605f46ef8"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a></div><div class="ttdeci">viennacl::context context(T const &t)</div><div class="ttdoc">Returns an ID for the currently active memory domain of an object. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2context_8hpp_source.html#l00040">context.hpp:40</a></div></div>
<div class="ttc" id="vector_8hpp_html"><div class="ttname"><a href="vector_8hpp.html">vector.hpp</a></div><div class="ttdoc">The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations ...</div></div>
<div class="ttc" id="namespaceviennacl_html_a10b7f8cf6b8864a7aa196d670481a453"><div class="ttname"><a href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a></div><div class="ttdeci">void copy(std::vector< NumericT > &cpu_vec, circulant_matrix< NumericT, AlignmentV > &gpu_mat)</div><div class="ttdoc">Copies a circulant matrix from the std::vector to the OpenCL device (either GPU or multi-core CPU) ...</div><div class="ttdef"><b>Definition:</b> <a href="circulant__matrix_8hpp_source.html#l00150">circulant_matrix.hpp:150</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a2846f5cd73ef4f03420e100a0acbcf04"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a2846f5cd73ef4f03420e100a0acbcf04">viennacl::compressed_matrix::set</a></div><div class="ttdeci">void set(const void *row_jumper, const void *col_buffer, const NumericT *elements, vcl_size_t rows, vcl_size_t cols, vcl_size_t nonzeros)</div><div class="ttdoc">Sets the row, column and value arrays of the compressed matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00764">compressed_matrix.hpp:764</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_ac31bfde381eb40e0349678252c444af9"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac31bfde381eb40e0349678252c444af9">viennacl::backend::typesafe_host_array::set</a></div><div class="ttdeci">void set(vcl_size_t index, U value)</div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00115">util.hpp:115</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a39eacbebab3a34651a0d9f95dac2b0fd"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a39eacbebab3a34651a0d9f95dac2b0fd">viennacl::compressed_matrix::handle_type</a></div><div class="ttdeci">viennacl::backend::mem_handle handle_type</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00562">compressed_matrix.hpp:562</a></div></div>
<div class="ttc" id="fft__1d_8cpp_html_ad5c19ca4f47d3f8ec21232a5af2624e5"><div class="ttname"><a href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a></div><div class="ttdeci">float ScalarType</div><div class="ttdef"><b>Definition:</b> <a href="fft__1d_8cpp_source.html#l00042">fft_1d.cpp:42</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a></div><div class="ttdoc">Main abstraction class for multiple memory domains. Represents a buffer in either main RAM...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00089">mem_handle.hpp:89</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_ac8373f0d899b89c843e14de4cb7a1c4a"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">viennacl::backend::mem_handle::raw_size</a></div><div class="ttdeci">vcl_size_t raw_size() const </div><div class="ttdoc">Returns the number of bytes of the currently active buffer. </div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00230">mem_handle.hpp:230</a></div></div>
<div class="ttc" id="classviennacl_1_1tools_1_1sparse__matrix__adapter_html"><div class="ttname"><a href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">viennacl::tools::sparse_matrix_adapter</a></div><div class="ttdoc">Adapts a non-const sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic u...</div><div class="ttdef"><b>Definition:</b> <a href="adapter_8hpp_source.html#l00357">adapter.hpp:357</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix</a></div><div class="ttdoc">A sparse square matrix in compressed sparse rows format. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00559">compressed_matrix.hpp:559</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a1499f19634964e2c7c8aeeefc6206126"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a></div><div class="ttdeci">void memory_create(mem_handle &handle, vcl_size_t size_in_bytes, viennacl::context const &ctx, const void *host_ptr=NULL)</div><div class="ttdoc">Creates an array of the specified size. If the second argument is provided, the buffer is initialized...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00087">memory.hpp:87</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="namespaceviennacl_1_1linalg_html_aafc6db8d806f67c24f93eaaded84b853"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a></div><div class="ttdeci">void prod_impl(const matrix_base< NumericT > &mat, const vector_base< NumericT > &vec, vector_base< NumericT > &result)</div><div class="ttdoc">Carries out matrix-vector multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__operations_8hpp_source.html#l00438">matrix_operations.hpp:438</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a7084e85e012f08fde31b72e09d59275d"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a7084e85e012f08fde31b72e09d59275d">viennacl::compressed_matrix::compressed_matrix</a></div><div class="ttdeci">compressed_matrix(matrix_expression< const compressed_matrix, const compressed_matrix, op_prod > const &proxy)</div><div class="ttdoc">Assignment a compressed matrix from the product of two compressed_matrix objects (C = A * B)...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00695">compressed_matrix.hpp:695</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ae39853b7f291a697e119a139439178fb"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a></div><div class="ttdeci">viennacl::backend::mem_handle & handle(T &obj)</div><div class="ttdoc">Returns the generic memory handle of an object. Non-const version. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2handle_8hpp_source.html#l00041">handle.hpp:41</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8">viennacl::memory_types</a></div><div class="ttdeci">memory_types</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00345">forwards.h:345</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html_aa2c582e8d2c1cafbf2ffdf05c9fdfaca"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">viennacl::matrix_expression::lhs</a></div><div class="ttdeci">LHS & lhs() const </div><div class="ttdoc">Get left hand side operand. </div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00066">matrix.hpp:66</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_a1a408130e0f633ffb1d12122873e3592"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1a408130e0f633ffb1d12122873e3592">viennacl::backend::typesafe_host_array::raw_size</a></div><div class="ttdeci">vcl_size_t raw_size() const </div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00111">util.hpp:111</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a805bdfab01b09101034b85e482e39701"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">viennacl::compressed_matrix::blocks1</a></div><div class="ttdeci">const vcl_size_t & blocks1() const </div><div class="ttdoc">Returns the internal number of row blocks for an adaptive SpMV. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00933">compressed_matrix.hpp:933</a></div></div>
<div class="ttc" id="classviennacl_1_1entry__proxy_html"><div class="ttname"><a href="classviennacl_1_1entry__proxy.html">viennacl::entry_proxy</a></div><div class="ttdoc">A proxy class for a single element of a vector or matrix. This proxy should not be noticed by end-use...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00233">forwards.h:233</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ae1e3f7b28ef12f480099cd6713124dbf"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ae1e3f7b28ef12f480099cd6713124dbf">viennacl::compressed_matrix::compressed_matrix</a></div><div class="ttdeci">compressed_matrix()</div><div class="ttdoc">Default construction of a compressed matrix. No memory is allocated. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00567">compressed_matrix.hpp:567</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_afcf49945a63836e1edfca536fcd191fb"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">viennacl::compressed_matrix::resize</a></div><div class="ttdeci">void resize(vcl_size_t new_size1, vcl_size_t new_size2, bool preserve=true)</div><div class="ttdoc">Resize the matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00829">compressed_matrix.hpp:829</a></div></div>
<div class="ttc" id="structop__assign_html"><div class="ttname"><a href="structop__assign.html">op_assign</a></div><div class="ttdef"><b>Definition:</b> <a href="self__assign_8cpp_source.html#l00132">self_assign.cpp:132</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a8548a37535eac92e886cb183182b618f"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a8548a37535eac92e886cb183182b618f">viennacl::backend::memory_shallow_copy</a></div><div class="ttdeci">void memory_shallow_copy(mem_handle const &src_buffer, mem_handle &dst_buffer)</div><div class="ttdoc">A 'shallow' copy operation from an initialized buffer to an uninitialized buffer. The uninitialized b...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00177">memory.hpp:177</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_add81b190f9c85bd6fa6730be771f0979"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#add81b190f9c85bd6fa6730be771f0979">viennacl::compressed_matrix::operator=</a></div><div class="ttdeci">compressed_matrix & operator=(compressed_matrix const &other)</div><div class="ttdoc">Assignment a compressed matrix from possibly another memory domain. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00720">compressed_matrix.hpp:720</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a8e69dd74e6a19d936348a018dfc80117"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a8e69dd74e6a19d936348a018dfc80117">viennacl::compressed_matrix::handle2</a></div><div class="ttdeci">handle_type & handle2()</div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00947">compressed_matrix.hpp:947</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ad0afce2e921c10b9e7b2234a6f513df6"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ad0afce2e921c10b9e7b2234a6f513df6">viennacl::compressed_matrix::operator=</a></div><div class="ttdeci">compressed_matrix & operator=(matrix_expression< const compressed_matrix, const compressed_matrix, op_prod > const &proxy)</div><div class="ttdoc">Assignment a compressed matrix from the product of two compressed_matrix objects (C = A * B)...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00739">compressed_matrix.hpp:739</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_a5951aceb881068a77b4af8825b547ea3"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">viennacl::backend::mem_handle::get_active_handle_id</a></div><div class="ttdeci">memory_types get_active_handle_id() const </div><div class="ttdoc">Returns an ID for the currently active memory buffer. Other memory buffers might contain old or no da...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00118">mem_handle.hpp:118</a></div></div>
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