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<div class="title">nmf_operations.hpp</div> </div>
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<a href="opencl_2nmf__operations_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_OPENCL_NMF_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_OPENCL_NMF_OPERATIONS_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 "<a class="code" href="opencl_2kernels_2nmf_8hpp.html">viennacl/linalg/opencl/kernels/nmf.hpp</a>"</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</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="l00027"></a><span class="lineno"> 27</span> </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</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="l00029"></a><span class="lineno"> 29</span> </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>opencl</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="l00044"></a><span class="lineno"> 44</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a9f0c073c618b76460027457d7331ba33"> 45</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a9f0c073c618b76460027457d7331ba33">nmf</a>(<a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> <span class="keyword">const</span> & V,</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & W,</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & H,</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <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="l00049"></a><span class="lineno"> 49</span> {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(V).context());</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> std::string NMF_MUL_DIV_KERNEL = <span class="stringliteral">"el_wise_mul_div"</span>;</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>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf.html#a0d2f598ecdc3504063da3351491b2a79">viennacl::linalg::opencl::kernels::nmf<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> k = W.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>();</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">iters_</a> = 0;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a>(W) <= 0)</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  W = <a class="code" href="classviennacl_1_1scalar__matrix.html">viennacl::scalar_matrix<NumericT></a>(W.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), W.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1), ctx);</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a>(H) <= 0)</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  H = <a class="code" href="classviennacl_1_1scalar__matrix.html">viennacl::scalar_matrix<NumericT></a>(H.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), H.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1), ctx);</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>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> wn(V.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), k, W.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), ctx);</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> wd(V.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), k, W.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), ctx);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> wtmp(V.<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>(), W.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), ctx);</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> hn(k, V.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), H.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), ctx);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> hd(k, V.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), H.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), ctx);</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> htmp(k, k, H.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), ctx);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> appr(V.<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>(), V.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), ctx);</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>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> last_diff = 0;</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> diff_init = 0;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">bool</span> stagnation_flag = <span class="keyword">false</span>;</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>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = 0; i < conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a494899ccb2fed620eb7fb69da5fc46c0">max_iterations</a>(); i++)</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>  conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">iters_</a> = i + 1;</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>  hn = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(<a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a72bf0d80c0608b5645d06703c7807253">trans</a>(W), V);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  htmp = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(<a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a72bf0d80c0608b5645d06703c7807253">trans</a>(W), W);</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  hd = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(htmp, H);</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>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & mul_div_kernel = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf.html">viennacl::linalg::opencl::kernels::nmf<NumericT>::program_name</a>(), NMF_MUL_DIV_KERNEL);</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(mul_div_kernel(H, hn, hd, cl_uint(H.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>() * H.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>())));</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>  wn = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(V, <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a72bf0d80c0608b5645d06703c7807253">trans</a>(H));</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  wtmp = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(W, H);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  wd = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(wtmp, <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a72bf0d80c0608b5645d06703c7807253">trans</a>(H));</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & mul_div_kernel = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf.html">viennacl::linalg::opencl::kernels::nmf<NumericT>::program_name</a>(), NMF_MUL_DIV_KERNEL);</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(mul_div_kernel(W, wn, wd, cl_uint(W.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>() * W.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>())));</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</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>  <span class="keywordflow">if</span> (i % conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">check_after_steps</a>() == 0) <span class="comment">//check for convergence</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  appr = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(W, H);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  appr -= V;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> diff_val = <a class="code" href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a>(appr);</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">if</span> (i == 0)</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  diff_init = diff_val;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">if</span> (conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#ab948223929be79e20a1050146210ec6d">print_relative_error</a>())</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  std::cout << diff_val / diff_init << std::endl;</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Approximation check</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span> (diff_val / diff_init < conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a36fe78d7d2e80e41e4e7546f01511840">tolerance</a>())</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">break</span>;</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">// Stagnation check</span></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span> (std::fabs(diff_val - last_diff) / (diff_val * <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">check_after_steps</a>())) < conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a992720e64934be9f6e0e940ee5bbdfca">stagnation_tolerance</a>()) <span class="comment">//avoid situations where convergence stagnates</span></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="keywordflow">if</span> (stagnation_flag) <span class="comment">// iteration stagnates (two iterates with no notable progress)</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// record stagnation in this iteration</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  stagnation_flag = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// good progress in this iteration, so unset stagnation flag</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  stagnation_flag = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// prepare for next iterate:</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  last_diff = diff_val;</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> }</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> } <span class="comment">//namespace opencl</span></div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> } <span class="comment">//namespace viennacl</span></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> <span class="preprocessor">#endif </span><span class="comment">/* VIENNACL_LINALG_OPENCL_NMF_OPERATIONS_HPP_ */</span><span class="preprocessor"></span></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a72bf0d80c0608b5645d06703c7807253"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a72bf0d80c0608b5645d06703c7807253">viennacl::linalg::opencl::trans</a></div><div class="ttdeci">void trans(const matrix_expression< const matrix_base< NumericT, SizeT, DistanceT >, const matrix_base< NumericT, SizeT, DistanceT >, op_trans > &proxy, matrix_base< NumericT > &temp_trans)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2matrix__operations_8hpp_source.html#l00276">matrix_operations.hpp:276</a></div></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_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="classviennacl_1_1ocl_1_1kernel_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a></div><div class="ttdoc">Represents an OpenCL kernel within ViennaCL. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00058">kernel.hpp:58</a></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="classviennacl_1_1linalg_1_1nmf__config_html_a875e5f082abe21568f75b36cc7b590b2"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">viennacl::linalg::nmf_config::check_after_steps</a></div><div class="ttdeci">vcl_size_t check_after_steps() const </div><div class="ttdoc">Number of steps after which the convergence of NMF should be checked (again) </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00091">nmf_operations.hpp:91</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a></div><div class="ttdoc">Manages an OpenCL context and provides the respective convenience functions for creating buffers...</div><div class="ttdef"><b>Definition:</b> <a href="ocl_2context_8hpp_source.html#l00055">context.hpp:55</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html"><div class="ttname"><a href="classviennacl_1_1matrix__base.html">viennacl::matrix_base< NumericT ></a></div></div>
<div class="ttc" id="classviennacl_1_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="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_1linalg_1_1nmf__config_html_a031a7591b5f6de300749037b39ad5db7"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">viennacl::linalg::nmf_config::iters_</a></div><div class="ttdeci">vcl_size_t iters_</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00125">nmf_operations.hpp:125</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="classviennacl_1_1ocl_1_1context_html_afe68ad8c2df449f40f45db6605038946"><div class="ttname"><a href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">viennacl::ocl::context::get_kernel</a></div><div class="ttdeci">viennacl::ocl::kernel & get_kernel(std::string const &program_name, std::string const &kernel_name)</div><div class="ttdoc">Convenience function for retrieving the kernel of a program directly from the context. </div><div class="ttdef"><b>Definition:</b> <a href="ocl_2context_8hpp_source.html#l00605">context.hpp:605</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_a494899ccb2fed620eb7fb69da5fc46c0"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a494899ccb2fed620eb7fb69da5fc46c0">viennacl::linalg::nmf_config::max_iterations</a></div><div class="ttdeci">vcl_size_t max_iterations() const </div><div class="ttdoc">Returns the maximum number of iterations for the NMF algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00074">nmf_operations.hpp:74</a></div></div>
<div class="ttc" id="classviennacl_1_1scalar__matrix_html"><div class="ttname"><a href="classviennacl_1_1scalar__matrix.html">viennacl::scalar_matrix</a></div><div class="ttdoc">Represents a vector consisting of scalars 's' only, i.e. v[i] = s for all i. To be used as an initial...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00093">matrix_def.hpp:93</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_a36fe78d7d2e80e41e4e7546f01511840"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a36fe78d7d2e80e41e4e7546f01511840">viennacl::linalg::nmf_config::tolerance</a></div><div class="ttdeci">double tolerance() const </div><div class="ttdoc">Returns the relative tolerance for convergence. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00050">nmf_operations.hpp:50</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf.html">viennacl::linalg::opencl::kernels::nmf</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for nonnegative matrix factorization of a dense matri...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2kernels_2nmf_8hpp_source.html#l00058">nmf.hpp:58</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_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="classviennacl_1_1linalg_1_1nmf__config_html_a992720e64934be9f6e0e940ee5bbdfca"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a992720e64934be9f6e0e940ee5bbdfca">viennacl::linalg::nmf_config::stagnation_tolerance</a></div><div class="ttdeci">double stagnation_tolerance() const </div><div class="ttdoc">Relative tolerance for the stagnation check. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00062">nmf_operations.hpp:62</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1ocl_html_a5f2022f653ea1cf364d20e3ff84dcada"><div class="ttname"><a href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a></div><div class="ttdeci">void enqueue(KernelType &k, viennacl::ocl::command_queue const &queue)</div><div class="ttdoc">Enqueues a kernel in the provided queue. </div><div class="ttdef"><b>Definition:</b> <a href="enqueue_8hpp_source.html#l00050">enqueue.hpp:50</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a15ec879f9e85a6fc209454b0bf137084"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">viennacl::matrix_base::row_major</a></div><div class="ttdeci">bool row_major() const </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00248">matrix_def.hpp:248</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a67813d48ed274df9fc19e6aad99fc761"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a></div><div class="ttdeci">scalar_expression< const matrix_base< NumericT >, const matrix_base< NumericT >, op_norm_frobenius > norm_frobenius(const matrix_base< NumericT > &A)</div><div class="ttdef"><b>Definition:</b> <a href="norm__frobenius_8hpp_source.html#l00061">norm_frobenius.hpp:61</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="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf_html_a0d2f598ecdc3504063da3351491b2a79"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf.html#a0d2f598ecdc3504063da3351491b2a79">viennacl::linalg::opencl::kernels::nmf::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2kernels_2nmf_8hpp_source.html#l00065">nmf.hpp:65</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a00e30fdc61081a73995b54175a91d220"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">viennacl::matrix_base::internal_size2</a></div><div class="ttdeci">size_type internal_size2() const </div><div class="ttdoc">Returns the internal number of columns. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00240">matrix_def.hpp:240</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a82018b4e169973bdfb9d3be68ceb5be0"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">viennacl::matrix_base::internal_size1</a></div><div class="ttdeci">size_type internal_size1() const </div><div class="ttdoc">Returns the internal number of rows. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00238">matrix_def.hpp:238</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_ab948223929be79e20a1050146210ec6d"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#ab948223929be79e20a1050146210ec6d">viennacl::linalg::nmf_config::print_relative_error</a></div><div class="ttdeci">bool print_relative_error() const </div><div class="ttdoc">Returns the flag specifying whether the relative tolerance should be printed in each iteration...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00103">nmf_operations.hpp:103</a></div></div>
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