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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_0c57f5a0b2589d9cd025f1d3faf7a1ee.html">core</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_CORE_TENSOR_H_</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#define SINGA_CORE_TENSOR_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 <vector></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <tuple></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <memory></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/common.h"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "singa/core/device.h"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "singa/proto/core.pb.h"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "singa/utils/logging.h"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">using</span> std::vector;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">using</span> std::tuple;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span><a class="code" href="namespacesinga.html">singa</a> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">typedef</span> vector<size_t> Shape;</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="namespacesinga.html#ac5251edd2ae9cde0ad5c22ba98756469"> 37</a></span> <span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="namespacesinga.html#ac5251edd2ae9cde0ad5c22ba98756469">kDataWidth</a>[] = {<span class="keyword">sizeof</span>(float), <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>) / 2,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">sizeof</span>(int), <span class="keyword">sizeof</span>(<span class="keywordtype">char</span>),</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">sizeof</span>(double), <span class="keyword">sizeof</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  };</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">inline</span> <span class="keywordtype">size_t</span> SizeOf(DataType t) {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  static_assert(kNumDataType == <span class="keyword">sizeof</span>(kDataWidth) / <span class="keyword">sizeof</span>(<span class="keywordtype">size_t</span>),</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="stringliteral">"Num of data types not match num of data width"</span>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  CHECK_GT(kNumDataType, t);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> kDataWidth[t];</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> }</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html"> 56</a></span> <span class="keyword">class </span><a class="code" href="classsinga_1_1Tensor.html">Tensor</a> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  ~<a class="code" href="classsinga_1_1Tensor.html">Tensor</a>();</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>();</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">explicit</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>(<span class="keyword">const</span> Shape &shape, DataType dtype = kFloat32);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>(<span class="keyword">const</span> Shape &shape,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::shared_ptr<Device> dev,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  DataType dtype = kFloat32);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &from);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>(<a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &&from);</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>  <span class="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// ---Following methods return info of the class without making any changes--</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a38a9f9935afbd535bb7b9e6145bfba77"> 82</a></span>  <a class="code" href="classsinga_1_1Block.html">Block</a> *<a class="code" href="classsinga_1_1Tensor.html#a38a9f9935afbd535bb7b9e6145bfba77">block</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a>; }</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>  std::shared_ptr<Device> device()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> device_; }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a5bd7ef8a4292b2b69827bc2d71db352a"> 88</a></span>  <span class="keyword">const</span> SType *<a class="code" href="classsinga_1_1Tensor.html#a5bd7ef8a4292b2b69827bc2d71db352a">data</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keyword">const </span>SType *<span class="keyword">></span>(<a class="code" href="classsinga_1_1Tensor.html#a38a9f9935afbd535bb7b9e6145bfba77">block</a>()->data());</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> </div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a1043d029610245f22b5844e987b0288a"> 93</a></span>  <span class="keyword">const</span> DataType <a class="code" href="classsinga_1_1Tensor.html#a1043d029610245f22b5844e987b0288a">data_type</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> data_type_; }</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>  <span class="keyword">const</span> Shape &shape()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> shape_; }</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>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> shape(<span class="keyword">const</span> <span class="keywordtype">size_t</span> idx)<span class="keyword"> const </span>{</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  CHECK_LT(idx, shape_.size());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> shape_.at(idx);</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="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">size_t</span> nDim()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> shape_.size(); }</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>  <span class="keywordtype">bool</span> empty()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> nDim() == 0; }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#adcaa6e890701e7a6b3823936c65b95cb"> 107</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classsinga_1_1Tensor.html#adcaa6e890701e7a6b3823936c65b95cb">transpose</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span> (!stride_.empty()) {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">auto</span> last = stride_.front();</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> s : stride_) {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">if</span> (s > last && last > 0) </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">if</span> (s > 0)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  last = s;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</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="keyword">const</span> vector<int>& stride()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> stride_; }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a3d37e87484fff3a140be4045c9c765cb"> 123</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classsinga_1_1Tensor.html#a3d37e87484fff3a140be4045c9c765cb">initailized</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">return</span> <a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a> != <span class="keyword">nullptr</span> && <a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a>->initialized();</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a1c38d62986020862905d1307c09972e0"> 128</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classsinga_1_1Tensor.html#a1c38d62986020862905d1307c09972e0">Size</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span> (<a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a> == <span class="keyword">nullptr</span>) <span class="keywordflow">return</span> 0u;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  CHECK_EQ(<a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a>->size() % SizeOf(data_type_), 0u);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> <a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a>->size() / SizeOf(data_type_);</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="l00135"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a9788f0fdc1eaaeda0157dff1cd0d5f3b"> 135</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classsinga_1_1Tensor.html#a9788f0fdc1eaaeda0157dff1cd0d5f3b">MemSize</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a>->size(); }</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a8837e7a2add8fad52da84fe914e724fa"> 140</a></span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Tensor.html#a8837e7a2add8fad52da84fe914e724fa">GetValue</a>(SType *value, <span class="keyword">const</span> <span class="keywordtype">size_t</span> num) {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  CHECK(device_ == <a class="code" href="namespacesinga.html#af5fd1cb4e1a4b5ae9bba1377b034eb8d">defaultDevice</a>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> SType* ptr = data<SType>();</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < num; i++) value[i] = ptr[i];</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Tensor.html#ac457aeb46420507b5bc0a31d568e6fcd">ToProto</a>(singa::TensorProto *proto) <span class="keyword">const</span>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">float</span> <a class="code" href="classsinga_1_1Tensor.html#aa5f03135322a13957c502db36c51fd5b">L1</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordtype">float</span> <a class="code" href="classsinga_1_1Tensor.html#a896beeaf9f9e89f70663ccdf567c6c7e">L2</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// ---Following methods changes the internal data</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Tensor.html#a6b940544ecf97e88d716af395b728a26">SetValue</a>(<span class="keyword">const</span> SType x);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Tensor.html#a09ffd10a924e9fadaf10399df66f0fdf">CopyDataFromHostPtr</a>(<span class="keyword">const</span> SType *src, <span class="keyword">const</span> <span class="keywordtype">size_t</span> num,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> offset = 0);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Tensor.html#a0dca11749473abe867abaf9cf3a10c7c">CopyData</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &other);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Tensor.html#a89edc1394576347e64e247d07917f91b">FromProto</a>(<span class="keyword">const</span> singa::TensorProto &proto);</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="l00177"></a><span class="lineno"> 177</span>  <span class="keywordtype">void</span> <a class="code" href="classsinga_1_1Tensor.html#a3a36059ddc56785efc13939d022f7d6c">RepeatData</a>(<span class="keyword">const</span> vector<size_t>& repeats, <span class="keywordtype">int</span> axis, <span class="keywordtype">int</span> total_repeats,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &other);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// ---Following methods returns a new Tensor without change original tensor</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Repeat(<span class="keyword">const</span> vector<size_t>& repeats, <span class="keywordtype">int</span> axis,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::shared_ptr<Device> device = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="classsinga_1_1Tensor.html#a4264350c378ce25e2f7e69f0f80e4a85">Clone</a>(std::shared_ptr<Device> device = <span class="keyword">nullptr</span>) <span class="keyword">const</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="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// ---Following methods change the tensor and return itself</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="comment">// --------------------------------------------------------------------------</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment"></span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &<a class="code" href="classsinga_1_1Tensor.html#a49fe082439367924e300b8ad2d2ae32c">operator=</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &<a class="code" href="classsinga_1_1Tensor.html#a49fe082439367924e300b8ad2d2ae32c">operator=</a>(<a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &&in);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator+=(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator-=(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator*=(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator/=(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// Scalar operations.</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator+=(<span class="keyword">const</span> SType x);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator-=(<span class="keyword">const</span> SType x);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator*=(<span class="keyword">const</span> SType x);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &operator/=(<span class="keyword">const</span> SType x);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &<a class="code" href="classsinga_1_1Tensor.html#ab926cc6a52b4769422d3f79c001487f3">Reshape</a>(<span class="keyword">const</span> Shape &shape);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#a4c246861034f2c704ed3190988b40fe8">Resize</a>(<span class="keyword">const</span> Shape& shape);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#ab725179d07eb24323271af9540f9c046">T</a>();</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#af2279b51a1eb0b4896937ce0133f4dbd">Transpose</a>();</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#af2279b51a1eb0b4896937ce0133f4dbd">Transpose</a>(<span class="keyword">const</span> vector<size_t> &axes);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#ac576dc3e929e594a904029c836db374f">Broadcast</a>(<span class="keyword">const</span> Shape& shape);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#a8593ee267f73de51aeac35cd2a527f1d">ResetLike</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &t);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#acfe6d1399951598288a04531fba1a904">AsType</a>(<span class="keyword">const</span> DataType type);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#a10e51ef8fe5fb5f9157da5ae56619c49">ToDevice</a>(std::shared_ptr<Device> dev);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& <a class="code" href="classsinga_1_1Tensor.html#a7b214269cb2dcea698befe14aae11f2e">ToHost</a>();</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="comment">//generate strides automatically if stride field is not passed</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordtype">void</span> generate_stride() {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  stride_.clear();</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">if</span> (shape_.size() == 0) {</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  stride_.push_back(1);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordtype">size_t</span> dim = <a class="code" href="classsinga_1_1Tensor.html#a1c38d62986020862905d1307c09972e0">Size</a>();</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">int</span> cumulative_product = 1;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> n = 0; n < shape_.size(); ++n) {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  cumulative_product = cumulative_product * shape_[n];</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  stride_.push_back(dim / cumulative_product);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  }</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordtype">void</span> set_strides(<span class="keyword">const</span> vector<int> new_strides) {</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  stride_ = new_strides;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  DataType data_type_ = kFloat32;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  std::shared_ptr<Device> device_ = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180"> 288</a></span>  <a class="code" href="classsinga_1_1Block.html">Block</a> *<a class="code" href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">block_</a> = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  Shape shape_ = {};</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  vector<int> stride_ = {};</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> }; <span class="comment">//end of tensor class</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="keyword">inline</span> <span class="keywordtype">size_t</span> Product(<span class="keyword">const</span> Shape &shape, <span class="keywordtype">int</span> start = 0, <span class="keywordtype">size_t</span> len = 0) {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">if</span> (len == 0) len = shape.size();</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">if</span> (len == 0) <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  CHECK_LE(len, shape.size());</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordtype">size_t</span> v = 1;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = start; i < len; i++) v *= shape[i];</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">return</span> v;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> }</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> CheckDataTypeAndLang(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in2) {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  CHECK_EQ(in1.<a class="code" href="classsinga_1_1Tensor.html#a1043d029610245f22b5844e987b0288a">data_type</a>(), in2.<a class="code" href="classsinga_1_1Tensor.html#a1043d029610245f22b5844e987b0288a">data_type</a>());</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  CHECK_EQ(in1.device()->lang(), in2.device()->lang());</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> </div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">template</span> <<span class="keyword">typename</span> FromType, <span class="keyword">typename</span> ToType></div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> ToType TypeCast(<span class="keyword">const</span> FromType &x) {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">// TODO(wangwei) cast fp16; prevent some casts, e.g., float to char</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>ToType<span class="keyword">></span>(x);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> }</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Boradcast(<span class="keyword">const</span> Shape& shape);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="classsinga_1_1Tensor.html#ab926cc6a52b4769422d3f79c001487f3">Reshape</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> Shape &s);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="classsinga_1_1Tensor.html#a4c246861034f2c704ed3190988b40fe8">Resize</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> Shape &s);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="classsinga_1_1Tensor.html#af2279b51a1eb0b4896937ce0133f4dbd">Transpose</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="classsinga_1_1Tensor.html#ac576dc3e929e594a904029c836db374f">Broadcast</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in, <span class="keyword">const</span> Shape& shape);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="classsinga_1_1Tensor.html#af2279b51a1eb0b4896937ce0133f4dbd">Transpose</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in, <span class="keyword">const</span> vector<size_t> &axes);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a62c886196156af2804db614775d2d29f">CopyDataToFrom</a>(<a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *dst, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &src, <span class="keyword">const</span> <span class="keywordtype">size_t</span> num,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> dst_offset = 0, <span class="keyword">const</span> <span class="keywordtype">size_t</span> src_offset = 0);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> </div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keywordtype">void</span> RepeatDataToFrom(<span class="keywordtype">bool</span> broadcast_flag, <span class="keyword">const</span> vector<size_t>& repeats, <span class="keywordtype">int</span> axis,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *dst, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">size_t</span> num);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> <span class="comment">// =============Element-wise operations====================================</span></div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Abs(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Exp(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Log(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> ReLU(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Sigmoid(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Sign(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Sqrt(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Square(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Tanh(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Transform(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="keywordtype">void</span> Abs(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="keywordtype">void</span> Exp(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="keywordtype">void</span> Log(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="keywordtype">void</span> ReLU(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> <span class="keywordtype">void</span> Sigmoid(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="keywordtype">void</span> Sign(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> <span class="keywordtype">void</span> Sqrt(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="keywordtype">void</span> Square(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="keywordtype">void</span> Tanh(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <span class="keywordtype">void</span> Transform(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#aadbde4047c1a99ef9be6f200dc044806">Pow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#aadbde4047c1a99ef9be6f200dc044806">Pow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#aadbde4047c1a99ef9be6f200dc044806">Pow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &base, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &exp);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#aadbde4047c1a99ef9be6f200dc044806">Pow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &base, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &exp, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a32aced0fc027b31ba656a9370343737e">operator<</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keywordtype">void</span> LT(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a32aced0fc027b31ba656a9370343737e">operator<</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="keywordtype">void</span> LT(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ab9cf24d8a5a2f1cd550090bf3345007a">operator<=</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> <span class="keywordtype">void</span> LE(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ab9cf24d8a5a2f1cd550090bf3345007a">operator<=</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2);</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> <span class="keywordtype">void</span> LE(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ae1a83210a25db36901c9b2ae2af76ba9">operator></a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keywordtype">void</span> GT(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ae1a83210a25db36901c9b2ae2af76ba9">operator></a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> <span class="keywordtype">void</span> GT(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a86c577269e20e1bc2773a0ceb5ab86ec">operator>=</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> <span class="keywordtype">void</span> GE(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a86c577269e20e1bc2773a0ceb5ab86ec">operator>=</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="keywordtype">void</span> GE(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in1, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& in2, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator+(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="keywordtype">void</span> Add(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator-(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> <span class="keywordtype">void</span> Sub(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator*(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> <span class="keywordtype">void</span> EltwiseMult(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator/(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="keywordtype">void</span> Div(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &lhs, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &rhs, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator+(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> <span class="keywordtype">void</span> Add(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator-(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> <span class="keywordtype">void</span> Sub(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator*(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> <span class="keywordtype">void</span> EltwiseMult(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> operator/(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> <span class="keywordtype">void</span> Div(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> SType x, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Div(<span class="keyword">const</span> SType x, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="keywordtype">void</span> Div(<span class="keyword">const</span> SType x, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> </div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType = <span class="keywordtype">float</span>></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> SType Sum(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> <span class="comment">// ============Matrix (row/column) operations==================================</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="comment"></span><a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a9a8ade3c623ecb13de53f14da2728df8">Average</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">int</span> axis);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a554727b758d0cbd7f21cd94e65f18f93">AddColumn</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a554727b758d0cbd7f21cd94e65f18f93">AddColumn</a>(<span class="keyword">const</span> SType alpha, <span class="keyword">const</span> SType beta, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a0cbe7f264403cb0e91f86ca216ec2710">AddRow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a0cbe7f264403cb0e91f86ca216ec2710">AddRow</a>(<span class="keyword">const</span> SType alpha, <span class="keyword">const</span> SType beta, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a2906481968cf623515b5caed9c232463">DivColumn</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#aa2685cc922445171b1c1a270f54d19d5">DivRow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#aaee1fee4dfd8a49997341c2c12be2557">MultColumn</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#af42f7253e6fd95e28757a0fcc30e50ea">MultRow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ab25f7f15d8b9719a610a24c1ad81facd">SoftMax</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> RowMax(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#ab25f7f15d8b9719a610a24c1ad81facd">SoftMax</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a629d839716eb77397c632d1af6dce5f2">SubColumn</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#ac37f3f825414426f54bf7bedd6ffa8aa">SubRow</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &v, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *M);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a976fe0564db9515f38650b5628d92c86">SumColumns</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &M, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a37daa1263efbf66896d6948f779f7d07">SumRows</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &M, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> Sum(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">int</span> axis);</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> <span class="comment">// ================Random operations==========================================</span></div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> <span class="comment"></span><span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a19821f4d8f8ad56bab702b3a71e82d39">Bernoulli</a>(<span class="keyword">const</span> SType p, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a3120367553786e8e658c89e9b71d5ec7">Gaussian</a>(<span class="keyword">const</span> SType mean, <span class="keyword">const</span> SType std, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a6340f2195aa5759e2f2266848a4c57e0">Uniform</a>(<span class="keyword">const</span> SType low, <span class="keyword">const</span> SType high, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> </div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> <span class="comment">// ================Blas operations============================================</span></div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> <span class="comment">// TODO(wangwei) make amax/amin/asum a member function of tensor</span></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a7389cb7b91f0265c19f0968b02c8245b">Axpy</a>(SType alpha, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *out);</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#aa8d703a9ddcb00877bb046a3576a91c2">Mult</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &A, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &B);</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#aa8d703a9ddcb00877bb046a3576a91c2">Mult</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &A, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &B, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *C);</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SType></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#aa8d703a9ddcb00877bb046a3576a91c2">Mult</a>(<span class="keyword">const</span> SType alpha, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &A, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &B, <span class="keyword">const</span> SType beta,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *C);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <span class="comment">// *****************</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="comment">// Misc.</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="comment">// ****************</span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> <span class="comment"></span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#a64eefff7a89f48b481f069aafef927f8">ComputeCrossEntropy</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &p, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &t, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *loss);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> <span class="keywordtype">void</span> <a class="code" href="namespacesinga.html#aab9a080006025616d7278b23a8ab4cd4">SoftmaxCrossEntropyBwd</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &t, <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> *p);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ad53079f0b86e65883b6335f436512a58">CrossEntropyFwd</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& p, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& t);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#aab9a080006025616d7278b23a8ab4cd4">SoftmaxCrossEntropyBwd</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& p, <span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a>& t);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a2d9582dbe30dae3caa0f6c72546d4b22">CopyRows</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">size_t</span> start, <span class="keyword">const</span> <span class="keywordtype">size_t</span> end);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a8e159ad4bd62b5794956485a38fee212">SliceRows</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">size_t</span> start, <span class="keyword">const</span> <span class="keywordtype">size_t</span> end);</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a9db0996d454f23b8ed4ea502f2a464c1">SliceOn</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">size_t</span> start, <span class="keyword">const</span> <span class="keywordtype">size_t</span> end,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordtype">int</span> axis);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a52dc577c7352b7b3621cd26b060f681c">CopyColumns</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">size_t</span> start, <span class="keyword">const</span> <span class="keywordtype">size_t</span> end);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a6e4b7304c7c43a3260fdbba3b658af36">SliceColumns</a>(<span class="keyword">const</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> &in, <span class="keyword">const</span> <span class="keywordtype">size_t</span> start, <span class="keyword">const</span> <span class="keywordtype">size_t</span> end);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a2f4544a98aa7368f85cc3212351d8286">ConcatenateRows</a>(<span class="keyword">const</span> vector<Tensor> &in);</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a170f75a92f322a9c8f1aba9944af9e47">ConcatOn</a>(<span class="keyword">const</span> std::vector<Tensor> &in, <span class="keywordtype">int</span> axis);</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ae4ab601583a3077c44452d3d2587f14f">ConcatRows</a>(<span class="keyword">const</span> vector<Tensor> &in);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#a1db709d730eb5e04877535cd697c1863">ConcatenateColumns</a>(<span class="keyword">const</span> vector<Tensor> &in);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> <a class="code" href="classsinga_1_1Tensor.html">Tensor</a> <a class="code" href="namespacesinga.html#ae91dc0734073421d7aa9eff485cc4953">ConcatColumns</a>(<span class="keyword">const</span> vector<Tensor> &in);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> } <span class="comment">// namespace singa</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> </div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> <span class="preprocessor">#endif // SINGA_CORE_TENSOR_H_</span></div><div class="ttc" id="classsinga_1_1Tensor_html_a896beeaf9f9e89f70663ccdf567c6c7e"><div class="ttname"><a href="classsinga_1_1Tensor.html#a896beeaf9f9e89f70663ccdf567c6c7e">singa::Tensor::L2</a></div><div class="ttdeci">float L2() const</div><div class="ttdoc">Return average L2 norm. </div></div> |
| <div class="ttc" id="namespacesinga_html_a8e159ad4bd62b5794956485a38fee212"><div class="ttname"><a href="namespacesinga.html#a8e159ad4bd62b5794956485a38fee212">singa::SliceRows</a></div><div class="ttdeci">Tensor SliceRows(const Tensor &in, const size_t start, const size_t end)</div><div class="ttdoc">Alias of CopyRows. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a49fe082439367924e300b8ad2d2ae32c"><div class="ttname"><a href="classsinga_1_1Tensor.html#a49fe082439367924e300b8ad2d2ae32c">singa::Tensor::operator=</a></div><div class="ttdeci">Tensor & operator=(const Tensor &in)</div><div class="ttdoc">Copy assignment. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a3a36059ddc56785efc13939d022f7d6c"><div class="ttname"><a href="classsinga_1_1Tensor.html#a3a36059ddc56785efc13939d022f7d6c">singa::Tensor::RepeatData</a></div><div class="ttdeci">void RepeatData(const vector< size_t > &repeats, int axis, int total_repeats, const Tensor &other)</div><div class="ttdoc">TODO(wangwei) merge RepeatData into Repeat? </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a0dca11749473abe867abaf9cf3a10c7c"><div class="ttname"><a href="classsinga_1_1Tensor.html#a0dca11749473abe867abaf9cf3a10c7c">singa::Tensor::CopyData</a></div><div class="ttdeci">void CopyData(const Tensor &other)</div><div class="ttdoc">Copy data from another Tensor which may be on a diff device. </div></div> |
| <div class="ttc" id="namespacesinga_html_a170f75a92f322a9c8f1aba9944af9e47"><div class="ttname"><a href="namespacesinga.html#a170f75a92f322a9c8f1aba9944af9e47">singa::ConcatOn</a></div><div class="ttdeci">Tensor ConcatOn(const std::vector< Tensor > &in, int axis)</div><div class="ttdoc">Return a tensor concatenated of the input tensors along the give axis. </div></div> |
| <div class="ttc" id="namespacesinga_html_a7389cb7b91f0265c19f0968b02c8245b"><div class="ttname"><a href="namespacesinga.html#a7389cb7b91f0265c19f0968b02c8245b">singa::Axpy</a></div><div class="ttdeci">void Axpy(SType alpha, const Tensor &in, Tensor *out)</div><div class="ttdoc">out = alpha*in + out </div></div> |
| <div class="ttc" id="namespacesinga_html_a554727b758d0cbd7f21cd94e65f18f93"><div class="ttname"><a href="namespacesinga.html#a554727b758d0cbd7f21cd94e65f18f93">singa::AddColumn</a></div><div class="ttdeci">void AddColumn(const Tensor &v, Tensor *M)</div><div class="ttdoc">Add column &#39;v&#39; with each column of matrix M. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_adcaa6e890701e7a6b3823936c65b95cb"><div class="ttname"><a href="classsinga_1_1Tensor.html#adcaa6e890701e7a6b3823936c65b95cb">singa::Tensor::transpose</a></div><div class="ttdeci">bool transpose() const</div><div class="ttdoc">The stride should decrease except dim with stride=0 due to broadcasting. </div><div class="ttdef"><b>Definition:</b> tensor.h:107</div></div> |
| <div class="ttc" id="namespacesinga_html_a86c577269e20e1bc2773a0ceb5ab86ec"><div class="ttname"><a href="namespacesinga.html#a86c577269e20e1bc2773a0ceb5ab86ec">singa::operator>=</a></div><div class="ttdeci">Tensor operator>=(const Tensor &in, const SType x)</div><div class="ttdoc">Element-wise operation, out[i]= (in[i] >= x) ? 1.f : 0.f. </div></div> |
| <div class="ttc" id="namespacesinga_html_aab9a080006025616d7278b23a8ab4cd4"><div class="ttname"><a href="namespacesinga.html#aab9a080006025616d7278b23a8ab4cd4">singa::SoftmaxCrossEntropyBwd</a></div><div class="ttdeci">void SoftmaxCrossEntropyBwd(const Tensor &t, Tensor *p)</div><div class="ttdoc">Compute the dx, given prediction probability &#39;p&#39; (p=softmax(x)) and the target (ground truth) labels ...</div></div> |
| <div class="ttc" id="namespacesinga_html_a52dc577c7352b7b3621cd26b060f681c"><div class="ttname"><a href="namespacesinga.html#a52dc577c7352b7b3621cd26b060f681c">singa::CopyColumns</a></div><div class="ttdeci">Tensor CopyColumns(const Tensor &in, const size_t start, const size_t end)</div><div class="ttdoc">Return a tensor consisting of columns ([start, end)) from &#39;in&#39;. </div></div> |
| <div class="ttc" id="namespacesinga_html_a62c886196156af2804db614775d2d29f"><div class="ttname"><a href="namespacesinga.html#a62c886196156af2804db614775d2d29f">singa::CopyDataToFrom</a></div><div class="ttdeci">void CopyDataToFrom(Tensor *dst, const Tensor &src, const size_t num, const size_t dst_offset=0, const size_t src_offset=0)</div><div class="ttdoc">Copy &#39;num&#39; elements of src to dst. </div></div> |
| <div class="ttc" id="namespacesinga_html_a9a8ade3c623ecb13de53f14da2728df8"><div class="ttname"><a href="namespacesinga.html#a9a8ade3c623ecb13de53f14da2728df8">singa::Average</a></div><div class="ttdeci">Tensor Average(const Tensor &in, const int axis)</div><div class="ttdoc">Average elements in the Tensor, currently only support vector and matrix. </div></div> |
| <div class="ttc" id="namespacesinga_html_a9db0996d454f23b8ed4ea502f2a464c1"><div class="ttname"><a href="namespacesinga.html#a9db0996d454f23b8ed4ea502f2a464c1">singa::SliceOn</a></div><div class="ttdeci">Tensor SliceOn(const Tensor &in, const size_t start, const size_t end, int axis)</div><div class="ttdoc">Slice the input tensor along the give axis to generate a new tensor. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a10e51ef8fe5fb5f9157da5ae56619c49"><div class="ttname"><a href="classsinga_1_1Tensor.html#a10e51ef8fe5fb5f9157da5ae56619c49">singa::Tensor::ToDevice</a></div><div class="ttdeci">Tensor & ToDevice(std::shared_ptr< Device > dev)</div><div class="ttdoc">Reset the device. </div></div> |
| <div class="ttc" id="namespacesinga_html_a0cbe7f264403cb0e91f86ca216ec2710"><div class="ttname"><a href="namespacesinga.html#a0cbe7f264403cb0e91f86ca216ec2710">singa::AddRow</a></div><div class="ttdeci">void AddRow(const Tensor &v, Tensor *out)</div><div class="ttdoc">Add row &#39;v&#39; with each row of matrix M; write results into &#39;out&#39;. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_ac457aeb46420507b5bc0a31d568e6fcd"><div class="ttname"><a href="classsinga_1_1Tensor.html#ac457aeb46420507b5bc0a31d568e6fcd">singa::Tensor::ToProto</a></div><div class="ttdeci">void ToProto(singa::TensorProto *proto) const</div><div class="ttdoc">Serialize data, shape and transpose to protobuf object. </div></div> |
| <div class="ttc" id="namespacesinga_html_ac5251edd2ae9cde0ad5c22ba98756469"><div class="ttname"><a href="namespacesinga.html#ac5251edd2ae9cde0ad5c22ba98756469">singa::kDataWidth</a></div><div class="ttdeci">const size_t kDataWidth[]</div><div class="ttdoc">hardcode the width of types defined in DataType </div><div class="ttdef"><b>Definition:</b> tensor.h:37</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a6b940544ecf97e88d716af395b728a26"><div class="ttname"><a href="classsinga_1_1Tensor.html#a6b940544ecf97e88d716af395b728a26">singa::Tensor::SetValue</a></div><div class="ttdeci">void SetValue(const SType x)</div><div class="ttdoc">Set each element of the tensor to be x. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a9788f0fdc1eaaeda0157dff1cd0d5f3b"><div class="ttname"><a href="classsinga_1_1Tensor.html#a9788f0fdc1eaaeda0157dff1cd0d5f3b">singa::Tensor::MemSize</a></div><div class="ttdeci">size_t MemSize() const</div><div class="ttdoc">Return memory size (i.e., Bytes) </div><div class="ttdef"><b>Definition:</b> tensor.h:135</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a5f7211731ad2f464748fb2f9395d1180"><div class="ttname"><a href="classsinga_1_1Tensor.html#a5f7211731ad2f464748fb2f9395d1180">singa::Tensor::block_</a></div><div class="ttdeci">Block * block_</div><div class="ttdoc">Note: block_ is allocated in lazy manner to avoid frequent malloc/free. </div><div class="ttdef"><b>Definition:</b> tensor.h:288</div></div> |
| <div class="ttc" id="namespacesinga_html_ad53079f0b86e65883b6335f436512a58"><div class="ttname"><a href="namespacesinga.html#ad53079f0b86e65883b6335f436512a58">singa::CrossEntropyFwd</a></div><div class="ttdeci">Tensor CrossEntropyFwd(const Tensor &p, const Tensor &t)</div><div class="ttdoc">To be called by pysinga autograd operations; swig ignores the const qualifier http://www.swig.org/Doc3.0/SWIGPlus.html#SWIGPlus_const. </div></div> |
| <div class="ttc" id="namespacesinga_html_aa8d703a9ddcb00877bb046a3576a91c2"><div class="ttname"><a href="namespacesinga.html#aa8d703a9ddcb00877bb046a3576a91c2">singa::Mult</a></div><div class="ttdeci">Tensor Mult(const Tensor &A, const Tensor &B)</div><div class="ttdoc">Do matrix vector multipication or matrix matrix multiplication depdending on the Tensor shape...</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="namespacesinga_html_a64eefff7a89f48b481f069aafef927f8"><div class="ttname"><a href="namespacesinga.html#a64eefff7a89f48b481f069aafef927f8">singa::ComputeCrossEntropy</a></div><div class="ttdeci">void ComputeCrossEntropy(const Tensor &p, const Tensor &t, Tensor *loss)</div><div class="ttdoc">Compute the cross entropy loss given the prediction probability &#39;p&#39; and the target (ground truth) lab...</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a3d37e87484fff3a140be4045c9c765cb"><div class="ttname"><a href="classsinga_1_1Tensor.html#a3d37e87484fff3a140be4045c9c765cb">singa::Tensor::initailized</a></div><div class="ttdeci">bool initailized() const</div><div class="ttdoc">Return true if the content of the tensor is initialized. </div><div class="ttdef"><b>Definition:</b> tensor.h:123</div></div> |
| <div class="ttc" id="namespacesinga_html_aaee1fee4dfd8a49997341c2c12be2557"><div class="ttname"><a href="namespacesinga.html#aaee1fee4dfd8a49997341c2c12be2557">singa::MultColumn</a></div><div class="ttdeci">void MultColumn(const Tensor &v, Tensor *M)</div><div class="ttdoc">Multiply column &#39;v&#39; and each column of matrix M; write results into &#39;out&#39;. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_af2279b51a1eb0b4896937ce0133f4dbd"><div class="ttname"><a href="classsinga_1_1Tensor.html#af2279b51a1eb0b4896937ce0133f4dbd">singa::Tensor::Transpose</a></div><div class="ttdeci">Tensor & Transpose()</div><div class="ttdoc">Reverse the shape vector. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a38a9f9935afbd535bb7b9e6145bfba77"><div class="ttname"><a href="classsinga_1_1Tensor.html#a38a9f9935afbd535bb7b9e6145bfba77">singa::Tensor::block</a></div><div class="ttdeci">Block * block() const</div><div class="ttdoc">For functions in xx_math.cc to access the block. </div><div class="ttdef"><b>Definition:</b> tensor.h:82</div></div> |
| <div class="ttc" id="namespacesinga_html_a2d9582dbe30dae3caa0f6c72546d4b22"><div class="ttname"><a href="namespacesinga.html#a2d9582dbe30dae3caa0f6c72546d4b22">singa::CopyRows</a></div><div class="ttdeci">Tensor CopyRows(const Tensor &in, const size_t start, const size_t end)</div><div class="ttdoc">Return a tensor consisting of rows ([start, end)) from &#39;in&#39;. </div></div> |
| <div class="ttc" id="namespacesinga_html_a37daa1263efbf66896d6948f779f7d07"><div class="ttname"><a href="namespacesinga.html#a37daa1263efbf66896d6948f779f7d07">singa::SumRows</a></div><div class="ttdeci">void SumRows(const Tensor &M, Tensor *out)</div><div class="ttdoc">Sum all rows of matrix M into a single row as &#39;out&#39;. </div></div> |
| <div class="ttc" id="namespacesinga_html_a3120367553786e8e658c89e9b71d5ec7"><div class="ttname"><a href="namespacesinga.html#a3120367553786e8e658c89e9b71d5ec7">singa::Gaussian</a></div><div class="ttdeci">void Gaussian(const SType mean, const SType std, Tensor *out)</div><div class="ttdoc">Fill in Tensor &#39;t&#39; following Gaussian distribution. </div></div> |
| <div class="ttc" id="namespacesinga_html_a1db709d730eb5e04877535cd697c1863"><div class="ttname"><a href="namespacesinga.html#a1db709d730eb5e04877535cd697c1863">singa::ConcatenateColumns</a></div><div class="ttdeci">Tensor ConcatenateColumns(const vector< Tensor > &in)</div><div class="ttdoc">Return a tensor which is horizontally stacked from tensors in &#39;in&#39;. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_ab725179d07eb24323271af9540f9c046"><div class="ttname"><a href="classsinga_1_1Tensor.html#ab725179d07eb24323271af9540f9c046">singa::Tensor::T</a></div><div class="ttdeci">Tensor & T()</div><div class="ttdoc">Matrix transpose. Valid only if shape.size() == 2. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a7b214269cb2dcea698befe14aae11f2e"><div class="ttname"><a href="classsinga_1_1Tensor.html#a7b214269cb2dcea698befe14aae11f2e">singa::Tensor::ToHost</a></div><div class="ttdeci">Tensor & ToHost()</div><div class="ttdoc">Equivalent to ToDevice(host_dev). </div></div> |
| <div class="ttc" id="namespacesinga_html_ac37f3f825414426f54bf7bedd6ffa8aa"><div class="ttname"><a href="namespacesinga.html#ac37f3f825414426f54bf7bedd6ffa8aa">singa::SubRow</a></div><div class="ttdeci">void SubRow(const Tensor &v, Tensor *M)</div><div class="ttdoc">Sub row &#39;v&#39; by each row of matrix M; write results into &#39;out&#39;. </div></div> |
| <div class="ttc" id="namespacesinga_html_a2906481968cf623515b5caed9c232463"><div class="ttname"><a href="namespacesinga.html#a2906481968cf623515b5caed9c232463">singa::DivColumn</a></div><div class="ttdeci">void DivColumn(const Tensor &v, Tensor *M)</div><div class="ttdoc">Divide column &#39;v&#39; by each column of matrix M; write results into &#39;out&#39;. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a8837e7a2add8fad52da84fe914e724fa"><div class="ttname"><a href="classsinga_1_1Tensor.html#a8837e7a2add8fad52da84fe914e724fa">singa::Tensor::GetValue</a></div><div class="ttdeci">void GetValue(SType *value, const size_t num)</div><div class="ttdoc">used for swig code to convert Tensor into numpy array. </div><div class="ttdef"><b>Definition:</b> tensor.h:140</div></div> |
| <div class="ttc" id="namespacesinga_html_ab25f7f15d8b9719a610a24c1ad81facd"><div class="ttname"><a href="namespacesinga.html#ab25f7f15d8b9719a610a24c1ad81facd">singa::SoftMax</a></div><div class="ttdeci">Tensor SoftMax(const Tensor &in)</div><div class="ttdoc">Do softmax for each row. &#39;in&#39; could be a 1-d or 2-d Tensor. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a1043d029610245f22b5844e987b0288a"><div class="ttname"><a href="classsinga_1_1Tensor.html#a1043d029610245f22b5844e987b0288a">singa::Tensor::data_type</a></div><div class="ttdeci">const DataType data_type() const</div><div class="ttdoc">data type, including kFloat16, kFloat32, kInt </div><div class="ttdef"><b>Definition:</b> tensor.h:93</div></div> |
| <div class="ttc" id="namespacesinga_html_a976fe0564db9515f38650b5628d92c86"><div class="ttname"><a href="namespacesinga.html#a976fe0564db9515f38650b5628d92c86">singa::SumColumns</a></div><div class="ttdeci">void SumColumns(const Tensor &M, Tensor *out)</div><div class="ttdoc">Sum all columns of matrix M into a single column as &#39;out&#39;. </div></div> |
| <div class="ttc" id="namespacesinga_html_af5fd1cb4e1a4b5ae9bba1377b034eb8d"><div class="ttname"><a href="namespacesinga.html#af5fd1cb4e1a4b5ae9bba1377b034eb8d">singa::defaultDevice</a></div><div class="ttdeci">std::shared_ptr< Device > defaultDevice</div><div class="ttdoc">a singleton CppDevice as the host for all devices. </div></div> |
| <div class="ttc" id="namespacesinga_html_ae91dc0734073421d7aa9eff485cc4953"><div class="ttname"><a href="namespacesinga.html#ae91dc0734073421d7aa9eff485cc4953">singa::ConcatColumns</a></div><div class="ttdeci">Tensor ConcatColumns(const vector< Tensor > &in)</div><div class="ttdoc">Alias name for function ConcatenateColumns. </div></div> |
| <div class="ttc" id="namespacesinga_html_a2f4544a98aa7368f85cc3212351d8286"><div class="ttname"><a href="namespacesinga.html#a2f4544a98aa7368f85cc3212351d8286">singa::ConcatenateRows</a></div><div class="ttdeci">Tensor ConcatenateRows(const vector< Tensor > &in)</div><div class="ttdoc">Return a tensor which is vertically stacked from tensors in &#39;in&#39;. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a4264350c378ce25e2f7e69f0f80e4a85"><div class="ttname"><a href="classsinga_1_1Tensor.html#a4264350c378ce25e2f7e69f0f80e4a85">singa::Tensor::Clone</a></div><div class="ttdeci">Tensor Clone(std::shared_ptr< Device > device=nullptr) const</div><div class="ttdoc">return an exactly the same Tensor with data been deep copied to the given device. ...</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_ab926cc6a52b4769422d3f79c001487f3"><div class="ttname"><a href="classsinga_1_1Tensor.html#ab926cc6a52b4769422d3f79c001487f3">singa::Tensor::Reshape</a></div><div class="ttdeci">Tensor & Reshape(const Shape &shape)</div><div class="ttdoc">change the shape (and stride); the block may be reallocated. </div></div> |
| <div class="ttc" id="namespacesinga_html_ab9cf24d8a5a2f1cd550090bf3345007a"><div class="ttname"><a href="namespacesinga.html#ab9cf24d8a5a2f1cd550090bf3345007a">singa::operator<=</a></div><div class="ttdeci">Tensor operator<=(const Tensor &in, const SType x)</div><div class="ttdoc">Element-wise operation, out[i]= (in[i] <= x) ? 1.f : 0.f. </div></div> |
| <div class="ttc" id="namespacesinga_html_aa2685cc922445171b1c1a270f54d19d5"><div class="ttname"><a href="namespacesinga.html#aa2685cc922445171b1c1a270f54d19d5">singa::DivRow</a></div><div class="ttdeci">void DivRow(const Tensor &v, Tensor *M)</div><div class="ttdoc">Divide row &#39;v&#39; by each row of matrix M; write results into &#39;out&#39;. </div></div> |
| <div class="ttc" id="namespacesinga_html_ae1a83210a25db36901c9b2ae2af76ba9"><div class="ttname"><a href="namespacesinga.html#ae1a83210a25db36901c9b2ae2af76ba9">singa::operator></a></div><div class="ttdeci">Tensor operator>(const Tensor &in, const SType x)</div><div class="ttdoc">Element-wise operation, out[i]= (in[i] > x) ? 1.f : 0.f. </div></div> |
| <div class="ttc" id="classsinga_1_1Block_html"><div class="ttname"><a href="classsinga_1_1Block.html">singa::Block</a></div><div class="ttdoc">Block represent a chunk of memory (on device or host). </div><div class="ttdef"><b>Definition:</b> common.h:60</div></div> |
| <div class="ttc" id="namespacesinga_html_a6e4b7304c7c43a3260fdbba3b658af36"><div class="ttname"><a href="namespacesinga.html#a6e4b7304c7c43a3260fdbba3b658af36">singa::SliceColumns</a></div><div class="ttdeci">Tensor SliceColumns(const Tensor &in, const size_t start, const size_t end)</div><div class="ttdoc">Alias of CopyColumns. </div></div> |
| <div class="ttc" id="namespacesinga_html_a19821f4d8f8ad56bab702b3a71e82d39"><div class="ttname"><a href="namespacesinga.html#a19821f4d8f8ad56bab702b3a71e82d39">singa::Bernoulli</a></div><div class="ttdeci">void Bernoulli(const SType p, Tensor *out)</div><div class="ttdoc">For each element x set x = 1 if random() < p; otherwise x = 1. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_acfe6d1399951598288a04531fba1a904"><div class="ttname"><a href="classsinga_1_1Tensor.html#acfe6d1399951598288a04531fba1a904">singa::Tensor::AsType</a></div><div class="ttdeci">Tensor & AsType(const DataType type)</div><div class="ttdoc">Reset the data type, it would reallocate block if type changes. </div></div> |
| <div class="ttc" id="namespacesinga_html_a6340f2195aa5759e2f2266848a4c57e0"><div class="ttname"><a href="namespacesinga.html#a6340f2195aa5759e2f2266848a4c57e0">singa::Uniform</a></div><div class="ttdeci">void Uniform(const SType low, const SType high, Tensor *out)</div><div class="ttdoc">Fill in Tensor &#39;t&#39; following uniform distribution. </div></div> |
| <div class="ttc" id="namespacesinga_html_ae4ab601583a3077c44452d3d2587f14f"><div class="ttname"><a href="namespacesinga.html#ae4ab601583a3077c44452d3d2587f14f">singa::ConcatRows</a></div><div class="ttdeci">Tensor ConcatRows(const vector< Tensor > &in)</div><div class="ttdoc">Alias name for function ConcatenateRows. </div></div> |
| <div class="ttc" id="namespacesinga_html_af42f7253e6fd95e28757a0fcc30e50ea"><div class="ttname"><a href="namespacesinga.html#af42f7253e6fd95e28757a0fcc30e50ea">singa::MultRow</a></div><div class="ttdeci">void MultRow(const Tensor &v, Tensor *M)</div><div class="ttdoc">Multiply row &#39;v&#39; with each row of matrix M; write results into &#39;out&#39;. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a09ffd10a924e9fadaf10399df66f0fdf"><div class="ttname"><a href="classsinga_1_1Tensor.html#a09ffd10a924e9fadaf10399df66f0fdf">singa::Tensor::CopyDataFromHostPtr</a></div><div class="ttdeci">void CopyDataFromHostPtr(const SType *src, const size_t num, const size_t offset=0)</div><div class="ttdoc">For init the tensor values, copy &#39;num&#39; elements from &#39;src&#39; to the internal memory with &#39;offset&#39; (elem...</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a4c246861034f2c704ed3190988b40fe8"><div class="ttname"><a href="classsinga_1_1Tensor.html#a4c246861034f2c704ed3190988b40fe8">singa::Tensor::Resize</a></div><div class="ttdeci">Tensor & Resize(const Shape &shape)</div><div class="ttdoc">Resize the memory and return itself. </div></div> |
| <div class="ttc" id="namespacesinga_html_a629d839716eb77397c632d1af6dce5f2"><div class="ttname"><a href="namespacesinga.html#a629d839716eb77397c632d1af6dce5f2">singa::SubColumn</a></div><div class="ttdeci">void SubColumn(const Tensor &v, Tensor *M)</div><div class="ttdoc">Sub column &#39;v&#39; by each column of matrix M. </div></div> |
| <div class="ttc" id="namespacesinga_html_a32aced0fc027b31ba656a9370343737e"><div class="ttname"><a href="namespacesinga.html#a32aced0fc027b31ba656a9370343737e">singa::operator<</a></div><div class="ttdeci">Tensor operator<(const Tensor &in, const SType x)</div><div class="ttdoc">Element-wise operation, out[i]= (in[i] < x) ? 1.f : 0.f. </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_1Tensor_html_a1c38d62986020862905d1307c09972e0"><div class="ttname"><a href="classsinga_1_1Tensor.html#a1c38d62986020862905d1307c09972e0">singa::Tensor::Size</a></div><div class="ttdeci">size_t Size() const</div><div class="ttdoc">Return number of total elements. </div><div class="ttdef"><b>Definition:</b> tensor.h:128</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a89edc1394576347e64e247d07917f91b"><div class="ttname"><a href="classsinga_1_1Tensor.html#a89edc1394576347e64e247d07917f91b">singa::Tensor::FromProto</a></div><div class="ttdeci">void FromProto(const singa::TensorProto &proto)</div><div class="ttdoc">Deserialize data, shape and transpose from protobuf object. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a5bd7ef8a4292b2b69827bc2d71db352a"><div class="ttname"><a href="classsinga_1_1Tensor.html#a5bd7ef8a4292b2b69827bc2d71db352a">singa::Tensor::data</a></div><div class="ttdeci">const SType * data() const</div><div class="ttdoc">Return immutable Tensor values with given type. </div><div class="ttdef"><b>Definition:</b> tensor.h:88</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_a8593ee267f73de51aeac35cd2a527f1d"><div class="ttname"><a href="classsinga_1_1Tensor.html#a8593ee267f73de51aeac35cd2a527f1d">singa::Tensor::ResetLike</a></div><div class="ttdeci">Tensor & ResetLike(const Tensor &t)</div><div class="ttdoc">Reset the shape, device, and data type as given tensor. </div></div> |
| <div class="ttc" id="namespacesinga_html_aadbde4047c1a99ef9be6f200dc044806"><div class="ttname"><a href="namespacesinga.html#aadbde4047c1a99ef9be6f200dc044806">singa::Pow</a></div><div class="ttdeci">Tensor Pow(const Tensor &in, const SType x)</div><div class="ttdoc">Element-wise opeartion, out[i]=in[i]^x. </div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_ac576dc3e929e594a904029c836db374f"><div class="ttname"><a href="classsinga_1_1Tensor.html#ac576dc3e929e594a904029c836db374f">singa::Tensor::Broadcast</a></div><div class="ttdeci">Tensor & Broadcast(const Shape &shape)</div><div class="ttdoc">Return a view of the input tensor whose shape is broadcasted to be compitable with the given shape...</div></div> |
| <div class="ttc" id="classsinga_1_1Tensor_html_aa5f03135322a13957c502db36c51fd5b"><div class="ttname"><a href="classsinga_1_1Tensor.html#aa5f03135322a13957c502db36c51fd5b">singa::Tensor::L1</a></div><div class="ttdeci">float L1() const</div><div class="ttdoc">Return average L1 norm. </div></div> |
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