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<div class="title">nmf.hpp</div> </div>
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<a href="nmf_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_LINALG_NMF_HPP</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_NMF_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="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="norm__2_8hpp.html">viennacl/linalg/norm_2.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="norm__frobenius_8hpp.html">viennacl/linalg/norm_frobenius.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="host__based_2nmf__operations_8hpp.html">viennacl/linalg/host_based/nmf_operations.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="opencl_2kernels_2nmf_8hpp.html">viennacl/linalg/opencl/kernels/nmf.hpp</a>"</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="opencl_2nmf__operations_8hpp.html">viennacl/linalg/opencl/nmf_operations.hpp</a>"</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="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="cuda_2nmf__operations_8hpp.html">viennacl/linalg/cuda/nmf_operations.hpp</a>"</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#endif</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="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType></div>
<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a1682d7a829cecf20106e407aed749a49"> 57</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a1682d7a829cecf20106e407aed749a49">nmf</a>(<a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> <span class="keyword">const</span> & V, <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> & W,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> & H, <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html">viennacl::linalg::nmf_config</a> <span class="keyword">const</span> & conf)</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  assert(V.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>() == W.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>() && V.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>() == H.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>() && bool(<span class="stringliteral">"Dimensions of W and H don't allow for V = W * H"</span>));</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  assert(W.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>() == H.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>() && bool(<span class="stringliteral">"Dimensions of W and H don't match, prod(W, H) impossible"</span>));</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(V).<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>())</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a9a0cc2bd0a2087f354a9b9d0b8e67c42">viennacl::linalg::host_based::nmf</a>(V, W, H, conf);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a9f0c073c618b76460027457d7331ba33">viennacl::linalg::opencl::nmf</a>(V,W,H,conf);</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ad9b529eaaf42d91af16200a3def8971c">viennacl::linalg::cuda::nmf</a>(V,W,H,conf);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</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> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="opencl_2nmf__operations_8hpp_html"><div class="ttname"><a href="opencl_2nmf__operations_8hpp.html">nmf_operations.hpp</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ad9b529eaaf42d91af16200a3def8971c"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ad9b529eaaf42d91af16200a3def8971c">viennacl::linalg::cuda::nmf</a></div><div class="ttdeci">void nmf(viennacl::matrix_base< NumericT > const &V, viennacl::matrix_base< NumericT > &W, viennacl::matrix_base< NumericT > &H, viennacl::linalg::nmf_config const &conf)</div><div class="ttdoc">The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2nmf__operations_8hpp_source.html#l00059">nmf_operations.hpp:59</a></div></div>
<div class="ttc" id="norm__2_8hpp_html"><div class="ttname"><a href="norm__2_8hpp.html">norm_2.hpp</a></div><div class="ttdoc">Generic interface for the l^2-norm. See viennacl/linalg/vector_operations.hpp for implementations...</div></div>
<div class="ttc" id="classviennacl_1_1memory__exception_html"><div class="ttname"><a href="classviennacl_1_1memory__exception.html">viennacl::memory_exception</a></div><div class="ttdoc">Exception class in case of memory errors. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00572">forwards.h:572</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a9f0c073c618b76460027457d7331ba33"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a9f0c073c618b76460027457d7331ba33">viennacl::linalg::opencl::nmf</a></div><div class="ttdeci">void nmf(viennacl::matrix_base< NumericT > const &V, viennacl::matrix_base< NumericT > &W, viennacl::matrix_base< NumericT > &H, viennacl::linalg::nmf_config const &conf)</div><div class="ttdoc">The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2nmf__operations_8hpp_source.html#l00045">nmf_operations.hpp:45</a></div></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="host__based_2nmf__operations_8hpp_html"><div class="ttname"><a href="host__based_2nmf__operations_8hpp.html">nmf_operations.hpp</a></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="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__base_html"><div class="ttname"><a href="classviennacl_1_1matrix__base.html">viennacl::matrix_base</a></div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00103">matrix_def.hpp:103</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html">viennacl::linalg::nmf_config</a></div><div class="ttdoc">Configuration class for the nonnegative-matrix-factorization algorithm. Specify tolerances, maximum iteration counts, etc., here. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00039">nmf_operations.hpp:39</a></div></div>
<div class="ttc" id="cuda_2nmf__operations_8hpp_html"><div class="ttname"><a href="cuda_2nmf__operations_8hpp.html">nmf_operations.hpp</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a9a0cc2bd0a2087f354a9b9d0b8e67c42"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a9a0cc2bd0a2087f354a9b9d0b8e67c42">viennacl::linalg::host_based::nmf</a></div><div class="ttdeci">void nmf(viennacl::matrix_base< NumericT > const &V, viennacl::matrix_base< NumericT > &W, viennacl::matrix_base< NumericT > &H, viennacl::linalg::nmf_config const &conf)</div><div class="ttdoc">The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00156">nmf_operations.hpp:156</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00347">forwards.h:347</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00350">forwards.h:350</a></div></div>
<div class="ttc" id="norm__frobenius_8hpp_html"><div class="ttname"><a href="norm__frobenius_8hpp.html">norm_frobenius.hpp</a></div><div class="ttdoc">Generic interface for the Frobenius norm. </div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a4348766b3b9cb049f7acd6a795272dbe"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">viennacl::matrix_base::size2</a></div><div class="ttdeci">size_type size2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00226">matrix_def.hpp:226</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a24e4f5fa27a1af5ad47e52a97c065d68"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">viennacl::matrix_base::size1</a></div><div class="ttdeci">size_type size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00224">matrix_def.hpp:224</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00348">forwards.h:348</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_1_1linalg_html_a1682d7a829cecf20106e407aed749a49"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a1682d7a829cecf20106e407aed749a49">viennacl::linalg::nmf</a></div><div class="ttdeci">void nmf(viennacl::matrix_base< ScalarType > const &V, viennacl::matrix_base< ScalarType > &W, viennacl::matrix_base< ScalarType > &H, viennacl::linalg::nmf_config const &conf)</div><div class="ttdoc">The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung...</div><div class="ttdef"><b>Definition:</b> <a href="nmf_8hpp_source.html#l00057">nmf.hpp:57</a></div></div>
<div class="ttc" id="opencl_2kernels_2nmf_8hpp_html"><div class="ttname"><a href="opencl_2kernels_2nmf_8hpp.html">nmf.hpp</a></div><div class="ttdoc">OpenCL kernel file for nonnegative matrix factorization. </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="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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