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<div class="title">log_softmax.hpp</div> </div>
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<a href="log__softmax_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> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#ifndef MLPACK_METHODS_ANN_LAYER_LOG_SOFTMAX_HPP</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#define MLPACK_METHODS_ANN_LAYER_LOG_SOFTMAX_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span>ann {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">typename</span> InputDataType = arma::mat,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">typename</span> OutputDataType = arma::mat</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> ></div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html"> 36</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html">LogSoftMax</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a4bc19d90da269a3ac4d80fdea9bfd191">LogSoftMax</a>();</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">template</span><<span class="keyword">typename</span> InputType, <span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#aa40b34a04acb68a30821def8696900e2">Forward</a>(<span class="keyword">const</span> InputType&& input, OutputType&& output);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#ad87fc8b4dc3041bfd70283bafb38b1b6">Backward</a>(<span class="keyword">const</span> arma::Mat<eT>&& input,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  arma::Mat<eT>&& gy,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  arma::Mat<eT>&& g);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#abbac1832ac9ec3992e68afb1f60d8618"> 69</a></span>  InputDataType& <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#abbac1832ac9ec3992e68afb1f60d8618">InputParameter</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#abda926e64cebd8d88caa9f945bd27f84">inputParameter</a>; }</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#a0d8439f77b727c7217f9ea9cff7e86d0"> 71</a></span>  InputDataType& <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a0d8439f77b727c7217f9ea9cff7e86d0">InputParameter</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#abda926e64cebd8d88caa9f945bd27f84">inputParameter</a>; }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#a8a21774338be2693bf3da5e4c67f5861"> 74</a></span>  OutputDataType& <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a8a21774338be2693bf3da5e4c67f5861">OutputParameter</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#ac5aaf6ccc0724f05114a7a2fe2890d99">outputParameter</a>; }</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#a8622b78c3c2984c26087e4ed5a4d7a88"> 76</a></span>  OutputDataType& <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a8622b78c3c2984c26087e4ed5a4d7a88">OutputParameter</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#ac5aaf6ccc0724f05114a7a2fe2890d99">outputParameter</a>; }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#aaf0d48ddcc41308a69bb183d4457f2bd"> 79</a></span>  InputDataType& <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#aaf0d48ddcc41308a69bb183d4457f2bd">Delta</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a25626737e20dfa5d643426b33e0c8c05">delta</a>; }</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#a69329f7224105eafd20f59241a74f40d"> 81</a></span>  InputDataType& <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a69329f7224105eafd20f59241a74f40d">Delta</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a25626737e20dfa5d643426b33e0c8c05">delta</a>; }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Archive></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#af64b53daa3f41192ee0251ca4a24b4ff">Serialize</a>(Archive& <span class="comment">/* ar */</span>, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="comment">/* version */</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>  <span class="keyword">private</span>:</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#a25626737e20dfa5d643426b33e0c8c05"> 91</a></span>  OutputDataType <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#a25626737e20dfa5d643426b33e0c8c05">delta</a>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#abda926e64cebd8d88caa9f945bd27f84"> 94</a></span>  InputDataType <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#abda926e64cebd8d88caa9f945bd27f84">inputParameter</a>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LogSoftMax.html#ac5aaf6ccc0724f05114a7a2fe2890d99"> 97</a></span>  OutputDataType <a class="code" href="classmlpack_1_1ann_1_1LogSoftMax.html#ac5aaf6ccc0724f05114a7a2fe2890d99">outputParameter</a>;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }; <span class="comment">// class LogSoftmax</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="comment">// namespace ann</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> } <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment">// Include implementation.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor">#include "log_softmax_impl.hpp"</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor">#endif</span></div><div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_a25626737e20dfa5d643426b33e0c8c05"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#a25626737e20dfa5d643426b33e0c8c05">mlpack::ann::LogSoftMax::delta</a></div><div class="ttdeci">OutputDataType delta</div><div class="ttdoc">Locally-stored delta object. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00091">log_softmax.hpp:91</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html">mlpack::ann::LogSoftMax</a></div><div class="ttdoc">Implementation of the log softmax layer. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00036">log_softmax.hpp:36</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_abda926e64cebd8d88caa9f945bd27f84"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#abda926e64cebd8d88caa9f945bd27f84">mlpack::ann::LogSoftMax::inputParameter</a></div><div class="ttdeci">InputDataType inputParameter</div><div class="ttdoc">Locally-stored input parameter object. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00094">log_softmax.hpp:94</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_af64b53daa3f41192ee0251ca4a24b4ff"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#af64b53daa3f41192ee0251ca4a24b4ff">mlpack::ann::LogSoftMax::Serialize</a></div><div class="ttdeci">void Serialize(Archive &, const unsigned int)</div><div class="ttdoc">Serialize the layer. </div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_abbac1832ac9ec3992e68afb1f60d8618"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#abbac1832ac9ec3992e68afb1f60d8618">mlpack::ann::LogSoftMax::InputParameter</a></div><div class="ttdeci">InputDataType & InputParameter() const </div><div class="ttdoc">Get the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00069">log_softmax.hpp:69</a></div></div>
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<div class="ttc" id="namespacemlpack_html"><div class="ttname"><a href="namespacemlpack.html">mlpack</a></div><div class="ttdoc">Linear algebra utility functions, generally performed on matrices or vectors. </div><div class="ttdef"><b>Definition:</b> <a href="binarize_8hpp_source.html#l00018">binarize.hpp:18</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_ac5aaf6ccc0724f05114a7a2fe2890d99"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#ac5aaf6ccc0724f05114a7a2fe2890d99">mlpack::ann::LogSoftMax::outputParameter</a></div><div class="ttdeci">OutputDataType outputParameter</div><div class="ttdoc">Locally-stored output parameter object. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00097">log_softmax.hpp:97</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_aa40b34a04acb68a30821def8696900e2"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#aa40b34a04acb68a30821def8696900e2">mlpack::ann::LogSoftMax::Forward</a></div><div class="ttdeci">void Forward(const InputType &&input, OutputType &&output)</div><div class="ttdoc">Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activ...</div></div>
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<div class="ttc" id="prereqs_8hpp_html"><div class="ttname"><a href="prereqs_8hpp.html">prereqs.hpp</a></div><div class="ttdoc">The core includes that mlpack expects; standard C++ includes and Armadillo. </div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_a8a21774338be2693bf3da5e4c67f5861"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#a8a21774338be2693bf3da5e4c67f5861">mlpack::ann::LogSoftMax::OutputParameter</a></div><div class="ttdeci">OutputDataType & OutputParameter() const </div><div class="ttdoc">Get the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00074">log_softmax.hpp:74</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_a69329f7224105eafd20f59241a74f40d"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#a69329f7224105eafd20f59241a74f40d">mlpack::ann::LogSoftMax::Delta</a></div><div class="ttdeci">InputDataType & Delta()</div><div class="ttdoc">Modify the delta. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00081">log_softmax.hpp:81</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_a0d8439f77b727c7217f9ea9cff7e86d0"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#a0d8439f77b727c7217f9ea9cff7e86d0">mlpack::ann::LogSoftMax::InputParameter</a></div><div class="ttdeci">InputDataType & InputParameter()</div><div class="ttdoc">Modify the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00071">log_softmax.hpp:71</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_ad87fc8b4dc3041bfd70283bafb38b1b6"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#ad87fc8b4dc3041bfd70283bafb38b1b6">mlpack::ann::LogSoftMax::Backward</a></div><div class="ttdeci">void Backward(const arma::Mat< eT > &&input, arma::Mat< eT > &&gy, arma::Mat< eT > &&g)</div><div class="ttdoc">Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backw...</div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_aaf0d48ddcc41308a69bb183d4457f2bd"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#aaf0d48ddcc41308a69bb183d4457f2bd">mlpack::ann::LogSoftMax::Delta</a></div><div class="ttdeci">InputDataType & Delta() const </div><div class="ttdoc">Get the delta. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00079">log_softmax.hpp:79</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_a8622b78c3c2984c26087e4ed5a4d7a88"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#a8622b78c3c2984c26087e4ed5a4d7a88">mlpack::ann::LogSoftMax::OutputParameter</a></div><div class="ttdeci">OutputDataType & OutputParameter()</div><div class="ttdoc">Modify the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="log__softmax_8hpp_source.html#l00076">log_softmax.hpp:76</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1LogSoftMax_html_a4bc19d90da269a3ac4d80fdea9bfd191"><div class="ttname"><a href="classmlpack_1_1ann_1_1LogSoftMax.html#a4bc19d90da269a3ac4d80fdea9bfd191">mlpack::ann::LogSoftMax::LogSoftMax</a></div><div class="ttdeci">LogSoftMax()</div><div class="ttdoc">Create the LogSoftmax object. </div></div>
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