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<div class="title">armadillo-with-viennacl.cpp</div> </div>
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<a href="armadillo-with-viennacl_8cpp.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="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"></span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> ViennaCL - The Vienna Computing Library</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"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</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"> (A list of authors and contributors can be found in the PDF manual)</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">// System headers</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <iostream></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">// Armadillo headers (disable BLAS and LAPACK to avoid linking issues)</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#define ARMA_DONT_USE_BLAS</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#define ARMA_DONT_USE_LAPACK</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <armadillo></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="comment">// IMPORTANT: Must be set prior to any ViennaCL includes if you want to use ViennaCL algorithms on Armadillo objects</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#define VIENNACL_WITH_ARMADILLO 1</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> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment">// ViennaCL includes</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>"</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="compressed__matrix_8hpp.html">viennacl/compressed_matrix.hpp</a>"</span></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>"</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </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> <span class="comment">// Helper functions for this tutorial:</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include "<a class="code" href="vector-io_8hpp.html">vector-io.hpp</a>"</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keywordtype">void</span> run_tutorial()</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>  <span class="keyword">typedef</span> arma::SpMat<NumericT> ArmaSparseMatrix;</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">typedef</span> arma::Mat<NumericT> ArmaMatrix;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">typedef</span> arma::Col<NumericT> ArmaVector;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  ArmaMatrix arma_densemat(6, 5);</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  ArmaMatrix arma_densemat2(6, 5);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  arma_densemat(0,0) = 2.0; arma_densemat(0,1) = -1.0;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  arma_densemat(1,0) = -1.0; arma_densemat(1,1) = 2.0; arma_densemat(1,2) = -1.0;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  arma_densemat(2,1) = -1.0; arma_densemat(2,2) = -1.0; arma_densemat(2,3) = -1.0;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  arma_densemat(3,2) = -1.0; arma_densemat(3,3) = 2.0; arma_densemat(3,4) = -1.0;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  arma_densemat(5,4) = -1.0; arma_densemat(4,4) = -1.0;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  ArmaSparseMatrix arma_sparsemat(6, 5);</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  ArmaSparseMatrix arma_sparsemat2(6, 5);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  arma_sparsemat(0,0) = 2.0; arma_sparsemat(0,1) = -1.0;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  arma_sparsemat(1,1) = 2.0; arma_sparsemat(1,2) = -1.0;</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  arma_sparsemat(2,2) = -1.0; arma_sparsemat(2,3) = -1.0;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  arma_sparsemat(3,3) = 2.0; arma_sparsemat(3,4) = -1.0;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  arma_sparsemat(5,4) = -1.0;</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  ArmaVector arma_rhs(5);</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  ArmaVector arma_result(6);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  ArmaVector arma_temp(6);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  arma_rhs(0) = 10.0;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  arma_rhs(1) = 11.0;</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  arma_rhs(2) = 12.0;</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  arma_rhs(3) = 13.0;</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  arma_rhs(4) = 14.0;</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> vcl_rhs(5);</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> vcl_result(6);</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<NumericT></a> vcl_densemat(6, 5);</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> vcl_sparsemat(6, 5);</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_rhs.memptr(), arma_rhs.memptr() + arma_rhs.n_elem, vcl_rhs.begin()); <span class="comment">//method 1: via iterator interface (cf. std::copy())</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_rhs, vcl_rhs); <span class="comment">//method 2: via built-in wrappers (convenience layer)</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_densemat, vcl_densemat);</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_sparsemat, vcl_sparsemat);</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  std::cout << <span class="stringliteral">"VCL sparsematrix dimensions: "</span> << vcl_sparsemat.size1() << <span class="stringliteral">", "</span> << vcl_sparsemat.size2() << std::endl;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// For completeness: Copy matrices from ViennaCL back to Eigen:</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_densemat, arma_densemat2);</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_sparsemat, arma_sparsemat2);</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  arma_result = arma_densemat * arma_rhs;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  vcl_result = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_densemat, vcl_rhs);</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_result, arma_temp);</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  std::cout << <span class="stringliteral">"Difference for dense matrix-vector product: "</span> << norm(arma_result - arma_temp) << std::endl;</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  std::cout << <span class="stringliteral">"Difference for dense matrix-vector product (Armadillo -> ViennaCL -> Armadillo): "</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  << norm(arma_densemat2 * arma_rhs - arma_temp) << std::endl;</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  arma_result = arma_sparsemat * arma_rhs;</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  vcl_result = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_sparsemat, vcl_rhs);</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_result, arma_temp);</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  std::cout << <span class="stringliteral">"Difference for sparse matrix-vector product: "</span> << norm(arma_result - arma_temp) << std::endl;</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::cout << <span class="stringliteral">"Difference for sparse matrix-vector product (Armadillo -> ViennaCL -> Armadillo): "</span></div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  << norm(arma_sparsemat2 * arma_rhs - arma_temp) << std::endl;</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keywordtype">int</span> <a class="code" href="tests_2src_2bisect_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>(<span class="keywordtype">int</span>, <span class="keywordtype">char</span> *[])</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>  std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  std::cout << <span class="stringliteral">"## Single precision"</span> << std::endl;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  run_tutorial<float>();</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="preprocessor">#ifdef VIENNACL_HAVE_OPENCL</span></div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">if</span> ( <a class="code" href="namespaceviennacl_1_1ocl.html#ac54d59a74deaccec81f64e738b856348">viennacl::ocl::current_device</a>().<a class="code" href="classviennacl_1_1ocl_1_1device.html#a5182025f56c76de6770e26b14165b00a">double_support</a>() )</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> #endif</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>  std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  std::cout << <span class="stringliteral">"## Double precision"</span> << std::endl;</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  run_tutorial<double>();</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="l00170"></a><span class="lineno"> 170</span>  std::cout << std::endl;</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::cout << <span class="stringliteral">"!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!"</span> << std::endl;</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  std::cout << std::endl;</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> }</div>
<div class="ttc" id="prod_8hpp_html"><div class="ttname"><a href="prod_8hpp.html">prod.hpp</a></div><div class="ttdoc">Generic interface for matrix-vector and matrix-matrix products. See viennacl/linalg/vector_operations...</div></div>
<div class="ttc" id="matrix_8hpp_html"><div class="ttname"><a href="matrix_8hpp.html">matrix.hpp</a></div><div class="ttdoc">Implementation of the dense matrix class. </div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_ae66f6b31b5ad750f1fe042a706a4e3d4"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a></div><div class="ttdeci">int main()</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00091">bisect.cpp:91</a></div></div>
<div class="ttc" id="vector-io_8hpp_html"><div class="ttname"><a href="vector-io_8hpp.html">vector-io.hpp</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix_html"><div class="ttname"><a href="classviennacl_1_1matrix.html">viennacl::matrix< NumericT ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1ocl_html_ac54d59a74deaccec81f64e738b856348"><div class="ttname"><a href="namespaceviennacl_1_1ocl.html#ac54d59a74deaccec81f64e738b856348">viennacl::ocl::current_device</a></div><div class="ttdeci">viennacl::ocl::device const & current_device()</div><div class="ttdoc">Convenience function for returning the active device in the current context. </div><div class="ttdef"><b>Definition:</b> <a href="backend_8hpp_source.html#l00351">backend.hpp:351</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_aa18d10f8a90e38bd9ff43c650fc670ef"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a></div><div class="ttdeci">VectorT prod(std::vector< std::vector< T, A1 >, A2 > const &matrix, VectorT const &vector)</div><div class="ttdef"><b>Definition:</b> <a href="prod_8hpp_source.html#l00102">prod.hpp:102</a></div></div>
<div class="ttc" id="compressed__matrix_8hpp_html"><div class="ttname"><a href="compressed__matrix_8hpp.html">compressed_matrix.hpp</a></div><div class="ttdoc">Implementation of the compressed_matrix class. </div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1device_html_a5182025f56c76de6770e26b14165b00a"><div class="ttname"><a href="classviennacl_1_1ocl_1_1device.html#a5182025f56c76de6770e26b14165b00a">viennacl::ocl::device::double_support</a></div><div class="ttdeci">bool double_support() const </div><div class="ttdoc">ViennaCL convenience function: Returns true if the device supports double precision. </div><div class="ttdef"><b>Definition:</b> <a href="device_8hpp_source.html#l00956">device.hpp:956</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< NumericT ></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"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix< NumericT ></a></div></div>
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