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| <li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_14a988756d30161f7e1f48b05d03905d.html">singa</a></li><li class="navelem"><a class="el" href="dir_1ed15e94f94d348ba7de93ac6315cc91.html">model</a></li> </ul> |
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| <div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#ifndef SINGA_MODEL_OPTIMIZER_H_</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#define SINGA_MODEL_OPTIMIZER_H_</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <unordered_map></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "singa/core/tensor.h"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "singa/proto/model.pb.h"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">using</span> std::string;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">using</span> std::vector;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">using</span> std::unordered_map;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span><a class="code" href="namespacesinga.html">singa</a> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>Constraint;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">class </span>Regularizer;</div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classsinga_1_1Optimizer.html"> 41</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1Optimizer.html">Optimizer</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classsinga_1_1Optimizer.html">Optimizer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">virtual</span> ~<a class="code" href="classsinga_1_1Optimizer.html">Optimizer</a>();</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a"> 47</a></span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> <span class="keywordtype">string</span>& str) {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  OptimizerConf conf;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  conf.ParseFromString(str);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  this-><a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(conf);</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> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> OptimizerConf& conf);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a6385d176ba3b2bf744221f8801291f3e">Register</a>(<span class="keyword">const</span> <span class="keywordtype">string</span>& name, <span class="keyword">const</span> ParamSpec& specs);</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> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> ApplyRegularizerConstraint(<span class="keywordtype">int</span> epoch, <span class="keyword">const</span> <span class="keywordtype">string</span>& name,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad, <span class="keywordtype">int</span> step = -1);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keywordtype">float</span> lr, <span class="keyword">const</span> <span class="keywordtype">string</span>& name,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <span class="keywordtype">int</span> step = -1) = 0;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keyword">const</span> <span class="keywordtype">string</span>& name, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">int</span> step = -1);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classsinga_1_1Optimizer.html#a2f3ba1fe776cdf373565b0cf208bf540"> 81</a></span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a2f3ba1fe776cdf373565b0cf208bf540">SetLearningRateGenerator</a>(<span class="keyword">function</span><<span class="keywordtype">float</span>(<span class="keywordtype">int</span>)> func) {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  learning_rate_generator_ = func;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordtype">float</span> GetLearningRate(<span class="keywordtype">int</span> step) {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">if</span> (learning_rate_generator_)</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> learning_rate_generator_(step);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> 0;</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="keyword">protected</span>:</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  function<float(int)> learning_rate_generator_;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::unordered_map<std::string, float> learning_rate_multplier_;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::unordered_map<std::string, Constraint*> constraints_;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  std::unordered_map<std::string, Regularizer*> regularizers_;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classsinga_1_1Constraint.html">Constraint</a>* constraint_ = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classsinga_1_1Regularizer.html">Regularizer</a>* regularizer_ = <span class="keyword">nullptr</span>;</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>  OptimizerConf conf_;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classsinga_1_1Constraint.html"> 106</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1Constraint.html">Constraint</a> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classsinga_1_1Constraint.html">Constraint</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">explicit</span> <a class="code" href="classsinga_1_1Constraint.html">Constraint</a>(<span class="keyword">const</span> ConstraintConf& conf) { <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(conf); }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classsinga_1_1Constraint.html">Constraint</a>(<span class="keyword">const</span> <span class="keywordtype">string</span>& type, <span class="keywordtype">float</span> threshold)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  : type_(type), threshold_(threshold) {}</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> ConstraintConf& conf);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> <span class="keywordtype">string</span>& conf_str) {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  ConstraintConf conf;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  conf.ParseFromString(conf_str);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(conf);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad, <span class="keywordtype">int</span> step = -1);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keyword">const</span> vector<Tensor>& values,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">const</span> vector<Tensor>& grads, <span class="keywordtype">int</span> step = -1);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">string</span> type_ = <span class="stringliteral">"Unknown"</span>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">float</span> threshold_;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> };</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="keyword">inline</span> std::shared_ptr<Constraint> CreateConstraint(std::string type) {</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">return</span> std::make_shared<Constraint>();</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> }</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classsinga_1_1Regularizer.html"> 142</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1Regularizer.html">Regularizer</a> {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classsinga_1_1Regularizer.html">Regularizer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">explicit</span> <a class="code" href="classsinga_1_1Regularizer.html">Regularizer</a>(<span class="keyword">const</span> RegularizerConf& conf) { <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(conf); }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classsinga_1_1Regularizer.html">Regularizer</a>(<span class="keyword">const</span> <span class="keywordtype">string</span>& type, <span class="keywordtype">float</span> coefficient)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  : type_(type), coefficient_(coefficient) {}</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> RegularizerConf& conf);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> <span class="keywordtype">string</span>& conf_str) {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  RegularizerConf conf;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  conf.ParseFromString(conf_str);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(conf);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad, <span class="keywordtype">int</span> step = -1);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keyword">const</span> vector<Tensor>& values,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">const</span> vector<Tensor>& grads, <span class="keywordtype">int</span> step = -1);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">string</span> type_ = <span class="stringliteral">"NotSet"</span>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">float</span> coefficient_;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> };</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">inline</span> std::shared_ptr<Regularizer> CreateRegularizer(std::string type) {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">return</span> std::make_shared<Regularizer>();</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="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment">// =============Vallina SGD with Momentum=====================================</span></div><div class="line"><a name="l00178"></a><span class="lineno"><a class="line" href="classsinga_1_1SGD.html"> 178</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1SGD.html">SGD</a> : <span class="keyword">public</span> <a class="code" href="classsinga_1_1Optimizer.html">Optimizer</a> {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> OptimizerConf& conf);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keywordtype">float</span> lr, <span class="keyword">const</span> <span class="keywordtype">string</span>& name, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <span class="keywordtype">int</span> step = -1) <span class="keyword">override</span>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00187"></a><span class="lineno"><a class="line" href="classsinga_1_1SGD.html#a70d7de98ba845ff4deb46f0e1301a34c"> 187</a></span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1SGD.html#a70d7de98ba845ff4deb46f0e1301a34c">SetMomentumGenerator</a>(std::function<<span class="keywordtype">float</span>(<span class="keywordtype">int</span>)> func) {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  momentum_generator_ = func;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  std::unordered_map<string, Tensor> history_gradient_;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::function<float(int)> momentum_generator_;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> };</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="comment">// =============Nesterov======================================================</span></div><div class="line"><a name="l00197"></a><span class="lineno"><a class="line" href="classsinga_1_1Nesterov.html"> 197</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1Nesterov.html">Nesterov</a> : <span class="keyword">public</span> <a class="code" href="classsinga_1_1Optimizer.html">Optimizer</a> {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> OptimizerConf& conf);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keywordtype">float</span> lr, <span class="keyword">const</span> <span class="keywordtype">string</span>& name, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <span class="keywordtype">int</span> step = -1) <span class="keyword">override</span>;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="classsinga_1_1Nesterov.html#a2ffcfb0b5c20aeaa7af40254bcf85396"> 206</a></span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Nesterov.html#a2ffcfb0b5c20aeaa7af40254bcf85396">SetMomentumGenerator</a>(std::function<<span class="keywordtype">float</span>(<span class="keywordtype">int</span>)> func) {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  momentum_generator_ = func;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  std::unordered_map<string, Tensor> history_gradient_;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  std::function<float(int)> momentum_generator_;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> };</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="comment">// =============Adagrad=======================================================</span></div><div class="line"><a name="l00216"></a><span class="lineno"><a class="line" href="classsinga_1_1AdaGrad.html"> 216</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1AdaGrad.html">AdaGrad</a> : <span class="keyword">public</span> <a class="code" href="classsinga_1_1Optimizer.html">Optimizer</a> {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> OptimizerConf& conf);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keywordtype">float</span> lr, <span class="keyword">const</span> <span class="keywordtype">string</span>& name, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <span class="keywordtype">int</span> step = -1) <span class="keyword">override</span>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::unordered_map<string, Tensor> history_gradient_;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">float</span> delta_;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> };</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="comment">// =============RMSProp=======================================================</span></div><div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="classsinga_1_1RMSProp.html"> 228</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1RMSProp.html">RMSProp</a> : <span class="keyword">public</span> <a class="code" href="classsinga_1_1Optimizer.html">Optimizer</a> {</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">Setup</a>(<span class="keyword">const</span> OptimizerConf& conf);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">Apply</a>(<span class="keywordtype">int</span> epoch, <span class="keywordtype">float</span> lr, <span class="keyword">const</span> <span class="keywordtype">string</span>& name, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& grad,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& value, <span class="keywordtype">int</span> step = -1) <span class="keyword">override</span>;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">virtual</span> ~<a class="code" href="classsinga_1_1RMSProp.html">RMSProp</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  std::unordered_map<string, Tensor> history_gradient_;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordtype">float</span> delta_, rho_;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> };</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="keyword">inline</span> std::shared_ptr<Optimizer> CreateOptimizer(<span class="keyword">const</span> <span class="keywordtype">string</span>& type) {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  std::shared_ptr<Optimizer> opt;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">if</span> (type == <span class="stringliteral">"SGD"</span>)</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  opt = std::shared_ptr<Optimizer>(<span class="keyword">new</span> <a class="code" href="classsinga_1_1SGD.html">SGD</a>());</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (type == <span class="stringliteral">"RMSProp"</span>)</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  opt = std::shared_ptr<Optimizer>(<span class="keyword">new</span> <a class="code" href="classsinga_1_1RMSProp.html">RMSProp</a>());</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (type == <span class="stringliteral">"AdaGrad"</span>)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  opt = std::shared_ptr<Optimizer>(<span class="keyword">new</span> <a class="code" href="classsinga_1_1AdaGrad.html">AdaGrad</a>());</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (type == <span class="stringliteral">"Nesterov"</span>)</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  opt = std::shared_ptr<Optimizer>(<span class="keyword">new</span> <a class="code" href="classsinga_1_1Nesterov.html">Nesterov</a>());</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  LOG(FATAL) << <span class="stringliteral">"Unknown optimizer type : "</span> << type;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">return</span> opt;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> }</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="comment">// ============LocalAllReduce for single node multiple workers ==============</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="comment"></span><span class="comment">/*</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="comment">class LocalAllReduce : public Optimizer{</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="comment"> pulbic:</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="comment"> LocalAllReduce(Optimizer* opt);</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="comment"> void Setup(const string& str) {</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment"> AllReduce conf;</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment"> conf.ParseFromString(str);</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="comment"> this->Setup(conf);</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="comment"> }</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="comment"> void Setup(const AllReduce& conf) {}</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment"></span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment">register the specs</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="comment"> void Register(const vector<string>& names,</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="comment"> const vector<Tensor>& values,</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="comment"> const vector<ParamSpecs>& specs) override;</span></div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="comment"></span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="comment"> void Update(int step, float lr, const string& name, const Tensor& grad,</span></div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="comment"> Tensor* param) override;</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="comment"></span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="comment"> boo UpdateNow();</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="comment"></span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="comment"> private:</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="comment"> int nb_workers_;</span></div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="comment"> vector<Tensor> aggregated_gradients_;</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="comment">};</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="comment">*/</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> }</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="preprocessor">#endif // SINGA_MODEL_OPTIMIZER_H_</span></div><div class="ttc" id="classsinga_1_1Optimizer_html_a98c129ff433c9faff924f17618126539"><div class="ttname"><a href="classsinga_1_1Optimizer.html#a98c129ff433c9faff924f17618126539">singa::Optimizer::Apply</a></div><div class="ttdeci">virtual void Apply(int epoch, float lr, const string &name, Tensor &grad, Tensor &value, int step=-1)=0</div><div class="ttdoc">Apply the updating algorithm if the gradient is not empty. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html"><div class="ttname"><a href="classsinga_1_1Tensor.html">singa::Tensor</a></div><div class="ttdoc">A Tensor instance is a multi-dimensional array resident on a Device (default device is the host CPU)...</div><div class="ttdef"><b>Definition:</b> tensor.h:56</div></div> |
| <div class="ttc" id="classsinga_1_1Constraint_html"><div class="ttname"><a href="classsinga_1_1Constraint.html">singa::Constraint</a></div><div class="ttdoc">Apply constraints for parameters (gradient). </div><div class="ttdef"><b>Definition:</b> optimizer.h:106</div></div> |
| <div class="ttc" id="classsinga_1_1Regularizer_html"><div class="ttname"><a href="classsinga_1_1Regularizer.html">singa::Regularizer</a></div><div class="ttdoc">Apply regularization for parameters (gradient), e.g., L1 norm and L2 norm. </div><div class="ttdef"><b>Definition:</b> optimizer.h:142</div></div> |
| <div class="ttc" id="classsinga_1_1Nesterov_html"><div class="ttname"><a href="classsinga_1_1Nesterov.html">singa::Nesterov</a></div><div class="ttdef"><b>Definition:</b> optimizer.h:197</div></div> |
| <div class="ttc" id="classsinga_1_1Nesterov_html_a2ffcfb0b5c20aeaa7af40254bcf85396"><div class="ttname"><a href="classsinga_1_1Nesterov.html#a2ffcfb0b5c20aeaa7af40254bcf85396">singa::Nesterov::SetMomentumGenerator</a></div><div class="ttdeci">void SetMomentumGenerator(std::function< float(int)> func)</div><div class="ttdoc">The argument function returns the momentum value given the current running step (i.e., iterations/mini-batches). </div><div class="ttdef"><b>Definition:</b> optimizer.h:206</div></div> |
| <div class="ttc" id="classsinga_1_1Optimizer_html_a6385d176ba3b2bf744221f8801291f3e"><div class="ttname"><a href="classsinga_1_1Optimizer.html#a6385d176ba3b2bf744221f8801291f3e">singa::Optimizer::Register</a></div><div class="ttdeci">virtual void Register(const string &name, const ParamSpec &specs)</div><div class="ttdoc">Register the parameter, e.g., create Constraint and Regularizers. </div></div> |
| <div class="ttc" id="classsinga_1_1RMSProp_html"><div class="ttname"><a href="classsinga_1_1RMSProp.html">singa::RMSProp</a></div><div class="ttdef"><b>Definition:</b> optimizer.h:228</div></div> |
| <div class="ttc" id="classsinga_1_1Optimizer_html_a2f3ba1fe776cdf373565b0cf208bf540"><div class="ttname"><a href="classsinga_1_1Optimizer.html#a2f3ba1fe776cdf373565b0cf208bf540">singa::Optimizer::SetLearningRateGenerator</a></div><div class="ttdeci">void SetLearningRateGenerator(function< float(int)> func)</div><div class="ttdoc">The argument is a function that returns the learning rate given the current step (i.e., curren running iteration). </div><div class="ttdef"><b>Definition:</b> optimizer.h:81</div></div> |
| <div class="ttc" id="classsinga_1_1SGD_html_a70d7de98ba845ff4deb46f0e1301a34c"><div class="ttname"><a href="classsinga_1_1SGD.html#a70d7de98ba845ff4deb46f0e1301a34c">singa::SGD::SetMomentumGenerator</a></div><div class="ttdeci">void SetMomentumGenerator(std::function< float(int)> func)</div><div class="ttdoc">The argument function returns the momentum value given the current running step (i.e., iterations/mini-batches). </div><div class="ttdef"><b>Definition:</b> optimizer.h:187</div></div> |
| <div class="ttc" id="classsinga_1_1Optimizer_html_ad0940567e5f2ac6ec99132f2c013c94a"><div class="ttname"><a href="classsinga_1_1Optimizer.html#ad0940567e5f2ac6ec99132f2c013c94a">singa::Optimizer::Setup</a></div><div class="ttdeci">void Setup(const string &str)</div><div class="ttdoc">Setup the optimzier using configurations from serialized string (for binding languages). </div><div class="ttdef"><b>Definition:</b> optimizer.h:47</div></div> |
| <div class="ttc" id="namespacesinga_html"><div class="ttname"><a href="namespacesinga.html">singa</a></div><div class="ttdoc">Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements...</div><div class="ttdef"><b>Definition:</b> common.h:48</div></div> |
| <div class="ttc" id="classsinga_1_1SGD_html"><div class="ttname"><a href="classsinga_1_1SGD.html">singa::SGD</a></div><div class="ttdef"><b>Definition:</b> optimizer.h:178</div></div> |
| <div class="ttc" id="classsinga_1_1Optimizer_html"><div class="ttname"><a href="classsinga_1_1Optimizer.html">singa::Optimizer</a></div><div class="ttdoc">The base class for gradient descent algorithms used to update the model parameters in order to optimi...</div><div class="ttdef"><b>Definition:</b> optimizer.h:41</div></div> |
| <div class="ttc" id="classsinga_1_1AdaGrad_html"><div class="ttname"><a href="classsinga_1_1AdaGrad.html">singa::AdaGrad</a></div><div class="ttdef"><b>Definition:</b> optimizer.h:216</div></div> |
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