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<div class="title">host/tensor_elementwise.h</div> </div>
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<a href="host_2tensor__elementwise_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">/* \file</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> \brief Defines host-side elementwise operations on TensorView.</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">*/</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#pragma once</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="comment">// Cutlass includes</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="functional_8h.html">cutlass/functional.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="host_2tensor__foreach_8h.html">tensor_foreach.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>reference {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>host {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">typename</span> ElementA, </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">typename</span> LayoutB,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">typename</span> BinaryFunc></div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html"> 57</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html">TensorFuncBinaryOp</a> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">//</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">//</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a7e9f8d0a477d5d34a31431d9ecf74f4e"> 64</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a7e9f8d0a477d5d34a31431d9ecf74f4e">view_d</a>;</div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a77a01e6a9da3273bde175cf5df5d62b4"> 65</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a77a01e6a9da3273bde175cf5df5d62b4">ref_a</a>;</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a416b2983d56932fa8970a7b988f3d7e6"> 66</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementB, LayoutB></a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a416b2983d56932fa8970a7b988f3d7e6">ref_b</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411"> 67</a></span>  BinaryFunc <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">//</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">//</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#aaab8004c6c977f725947702b017b3c91"> 74</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#aaab8004c6c977f725947702b017b3c91">TensorFuncBinaryOp</a>() { }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a11eed55eed239f90e009a304e5c1f5ab"> 77</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a11eed55eed239f90e009a304e5c1f5ab">TensorFuncBinaryOp</a>(</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> <span class="keyword">const</span> & view_d_,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> <span class="keyword">const</span> & ref_a_,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementB, LayoutB></a> <span class="keyword">const</span> & ref_b_,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  BinaryFunc func = BinaryFunc()</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  ):</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  view_d(view_d_), view_a(view_a_), view_b(view_b_), func(func) { }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a22f913a5999084fde6565bbb1c90a73b"> 86</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a22f913a5999084fde6565bbb1c90a73b">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<LayoutD::kRank></a> <span class="keyword">const</span> &coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  view_d.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>(</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  ElementD(view_a.at(coord)),</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  ElementD(view_b.at(coord))</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="l00092"></a><span class="lineno"> 92</span> };</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">typename</span> LayoutB</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> ></div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a17840338fea08affd4bbf4a450140dff"> 108</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a17840338fea08affd4bbf4a450140dff">TensorAdd</a>(</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a, </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementB, LayoutB></a> b </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> ) {</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html">detail::TensorFuncBinaryOp</a><</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  ElementD, </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  LayoutD,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  ElementA,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  LayoutA,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  ElementB,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  LayoutB,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="structcutlass_1_1plus.html">cutlass::plus<ElementD></a></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  > <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>(d, a, b);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  d.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>); </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">typename</span> LayoutA</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> ></div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#adf0e1dc76c868172d941a5091dee8dde"> 136</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a17840338fea08affd4bbf4a450140dff">TensorAdd</a>(</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> ) {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a17840338fea08affd4bbf4a450140dff">TensorAdd</a>(d, d, a);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> }</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">typename</span> LayoutB</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> ></div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a3b2eede84fbc860b8f0d178c14e4cbb1"> 154</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a3b2eede84fbc860b8f0d178c14e4cbb1">TensorSub</a>(</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a, </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementB, LayoutB></a> b </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  ) {</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html">detail::TensorFuncBinaryOp</a><</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  ElementD, </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  LayoutD,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  ElementA,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  LayoutA,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  ElementB,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  LayoutB,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="structcutlass_1_1minus.html">cutlass::minus<ElementD></a></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  > <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>(d, a, b);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  d.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">typename</span> LayoutB</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> ></div><div class="line"><a name="l00184"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a30294715f2c97a2f3f8adca4a16a97ff"> 184</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a3b2eede84fbc860b8f0d178c14e4cbb1">TensorSub</a>(</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  ) {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a3b2eede84fbc860b8f0d178c14e4cbb1">TensorSub</a>(d, d, a);</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> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">typename</span> LayoutB</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> ></div><div class="line"><a name="l00203"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#affc066e432cb8213ce84a81371623f7e"> 203</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#affc066e432cb8213ce84a81371623f7e">TensorMul</a>(</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a, </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementB, LayoutB></a> b </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>  </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html">detail::TensorFuncBinaryOp</a><</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  ElementD, </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  LayoutD,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  ElementA,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  LayoutA,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  ElementB,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  LayoutB,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="structcutlass_1_1multiplies.html">cutlass::multiplies<ElementD></a></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  > <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>(d, a, b);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  d.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">typename</span> LayoutA</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> ></div><div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#ac11f9fadfa4526ba8e6fa62f806eae7c"> 231</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#affc066e432cb8213ce84a81371623f7e">TensorMul</a>(</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> ) {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#affc066e432cb8213ce84a81371623f7e">TensorMul</a>(d, d, a);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> }</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">typename</span> LayoutB</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> ></div><div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a35db5f5e1946616fd626991cfe689c6c"> 249</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a35db5f5e1946616fd626991cfe689c6c">TensorDiv</a>(</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a, </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementB, LayoutB></a> b </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> ) {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html">detail::TensorFuncBinaryOp</a><</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  ElementD, </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  LayoutD,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  ElementA,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  LayoutA,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  ElementB,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  LayoutB,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <a class="code" href="structcutlass_1_1divides.html">cutlass::divides<ElementD></a></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  > <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>(d, a, b);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  d.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">typename</span> LayoutA</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> ></div><div class="line"><a name="l00277"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#ae1e20de08fb5d034abe1b5d64041514c"> 277</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a35db5f5e1946616fd626991cfe689c6c">TensorDiv</a>(</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> ) {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#affc066e432cb8213ce84a81371623f7e">TensorMul</a>(d, d, a);</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> </div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">typename</span> LayoutB</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> ></div><div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#ac9ea3d1c0a265daf9f43c4d32b2d3d4c"> 296</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#ac9ea3d1c0a265daf9f43c4d32b2d3d4c">TensorModulus</a>(</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a, </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementB, LayoutB></a> b </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> ) {</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>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html">detail::TensorFuncBinaryOp</a><</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  ElementD, </div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  LayoutD,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  ElementA,</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  LayoutA,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  ElementB,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  LayoutB,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  cutlass::modulus<ElementD></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  > <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>(d, a, b);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  d.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">func</a>);</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> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">typename</span> ElementD,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">typename</span> LayoutD,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">typename</span> LayoutA</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> ></div><div class="line"><a name="l00324"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a50b72c70c26ff46dff8747010e3a92b9"> 324</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#ac9ea3d1c0a265daf9f43c4d32b2d3d4c">TensorModulus</a>(</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<ElementD, LayoutD></a> d, </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementA, LayoutA></a> a </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> ) {</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#affc066e432cb8213ce84a81371623f7e">TensorMul</a>(d, d, a);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</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> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> } <span class="comment">// namespace host</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> } <span class="comment">// namespace reference</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html_a22f913a5999084fde6565bbb1c90a73b"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a22f913a5999084fde6565bbb1c90a73b">cutlass::reference::host::detail::TensorFuncBinaryOp::operator()</a></div><div class="ttdeci">void operator()(Coord< LayoutD::kRank > const &coord) const </div><div class="ttdoc">Equality check. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:86</div></div>
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<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html">cutlass::reference::host::detail::TensorFuncBinaryOp</a></div><div class="ttdoc">Helper to apply a binary operator in place. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:57</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a17840338fea08affd4bbf4a450140dff"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a17840338fea08affd4bbf4a450140dff">cutlass::reference::host::TensorAdd</a></div><div class="ttdeci">void TensorAdd(TensorView< ElementD, LayoutD > d, TensorRef< ElementA, LayoutA > a, TensorRef< ElementB, LayoutB > b)</div><div class="ttdoc">Adds two tensors and stores in the destination tensor: d = a + b. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:108</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a7d3914dd5042c9c40be9e21a7b4e9ece"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">cutlass::TensorView::extent</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorCoord const & extent() const </div><div class="ttdoc">Returns the extent of the view (the size along each logical dimension). </div><div class="ttdef"><b>Definition:</b> tensor_view.h:167</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a35db5f5e1946616fd626991cfe689c6c"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a35db5f5e1946616fd626991cfe689c6c">cutlass::reference::host::TensorDiv</a></div><div class="ttdeci">void TensorDiv(TensorView< ElementD, LayoutD > d, TensorRef< ElementA, LayoutA > a, TensorRef< ElementB, LayoutB > b)</div><div class="ttdoc">Divides two tensors and stores in the destination tensor: d = a ./ b. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:249</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html_a2d2bbd2c0a8b8f0292e6820e5d133411"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a2d2bbd2c0a8b8f0292e6820e5d133411">cutlass::reference::host::detail::TensorFuncBinaryOp::func</a></div><div class="ttdeci">BinaryFunc func</div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:67</div></div>
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<div class="ttc" id="structcutlass_1_1plus_html"><div class="ttname"><a href="structcutlass_1_1plus.html">cutlass::plus</a></div><div class="ttdef"><b>Definition:</b> functional.h:46</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html_a11eed55eed239f90e009a304e5c1f5ab"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a11eed55eed239f90e009a304e5c1f5ab">cutlass::reference::host::detail::TensorFuncBinaryOp::TensorFuncBinaryOp</a></div><div class="ttdeci">TensorFuncBinaryOp(TensorView< ElementD, LayoutD > const &view_d_, TensorRef< ElementA, LayoutA > const &ref_a_, TensorRef< ElementB, LayoutB > const &ref_b_, BinaryFunc func=BinaryFunc())</div><div class="ttdoc">Constructor. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:77</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html"><div class="ttname"><a href="classcutlass_1_1TensorView.html">cutlass::TensorView< ElementD, LayoutD ></a></div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef< ElementA, LayoutA ></a></div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html_a416b2983d56932fa8970a7b988f3d7e6"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a416b2983d56932fa8970a7b988f3d7e6">cutlass::reference::host::detail::TensorFuncBinaryOp::ref_b</a></div><div class="ttdeci">TensorRef< ElementB, LayoutB > ref_b</div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:66</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_html"><div class="ttname"><a href="structcutlass_1_1multiplies.html">cutlass::multiplies</a></div><div class="ttdef"><b>Definition:</b> functional.h:64</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a3b2eede84fbc860b8f0d178c14e4cbb1"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a3b2eede84fbc860b8f0d178c14e4cbb1">cutlass::reference::host::TensorSub</a></div><div class="ttdeci">void TensorSub(TensorView< ElementD, LayoutD > d, TensorRef< ElementA, LayoutA > a, TensorRef< ElementB, LayoutB > b)</div><div class="ttdoc">Subtracts two tensors and stores in the destination tensor: d = a - b. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:154</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html_a7e9f8d0a477d5d34a31431d9ecf74f4e"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a7e9f8d0a477d5d34a31431d9ecf74f4e">cutlass::reference::host::detail::TensorFuncBinaryOp::view_d</a></div><div class="ttdeci">TensorView< ElementD, LayoutD > view_d</div><div class="ttdoc">View of left-hand-side tensor. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:64</div></div>
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<div class="ttc" id="structcutlass_1_1divides_html"><div class="ttname"><a href="structcutlass_1_1divides.html">cutlass::divides</a></div><div class="ttdef"><b>Definition:</b> functional.h:73</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_affc066e432cb8213ce84a81371623f7e"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#affc066e432cb8213ce84a81371623f7e">cutlass::reference::host::TensorMul</a></div><div class="ttdeci">void TensorMul(TensorView< ElementD, LayoutD > d, TensorRef< ElementA, LayoutA > a, TensorRef< ElementB, LayoutB > b)</div><div class="ttdoc">Multiplies two tensors and stores in the destination tensor: d = a .* b. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:203</div></div>
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<div class="ttc" id="structcutlass_1_1Coord_html"><div class="ttname"><a href="structcutlass_1_1Coord.html">cutlass::Coord</a></div><div class="ttdoc">Statically-sized array specifying Coords within a tensor. </div><div class="ttdef"><b>Definition:</b> coord.h:43</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_ac9ea3d1c0a265daf9f43c4d32b2d3d4c"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#ac9ea3d1c0a265daf9f43c4d32b2d3d4c">cutlass::reference::host::TensorModulus</a></div><div class="ttdeci">void TensorModulus(TensorView< ElementD, LayoutD > d, TensorRef< ElementA, LayoutA > a, TensorRef< ElementB, LayoutB > b)</div><div class="ttdoc">Divides two tensors and stores in the destination tensor: d = a ./ b. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:296</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a8758907a1c9b1fcd00e7ece626d03b76"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Reference at(TensorCoord const &coord) const </div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:307</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a8c798c04df572b34e3ed3976d69f993d"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">cutlass::reference::host::TensorForEach</a></div><div class="ttdeci">void TensorForEach(Coord< Rank > extent, Func &func)</div><div class="ttdoc">Iterates over the index space of a tensor. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:87</div></div>
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<div class="ttc" id="structcutlass_1_1minus_html"><div class="ttname"><a href="structcutlass_1_1minus.html">cutlass::minus</a></div><div class="ttdef"><b>Definition:</b> functional.h:55</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html_aaab8004c6c977f725947702b017b3c91"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#aaab8004c6c977f725947702b017b3c91">cutlass::reference::host::detail::TensorFuncBinaryOp::TensorFuncBinaryOp</a></div><div class="ttdeci">TensorFuncBinaryOp()</div><div class="ttdoc">Constructor. </div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:74</div></div>
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<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS. </div></div>
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<div class="ttc" id="functional_8h_html"><div class="ttname"><a href="functional_8h.html">functional.h</a></div><div class="ttdoc">Define basic numeric operators with specializations for Array<T, N>. SIMD-ize where possible...</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp_html_a77a01e6a9da3273bde175cf5df5d62b4"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFuncBinaryOp.html#a77a01e6a9da3273bde175cf5df5d62b4">cutlass::reference::host::detail::TensorFuncBinaryOp::ref_a</a></div><div class="ttdeci">TensorRef< ElementA, LayoutA > ref_a</div><div class="ttdef"><b>Definition:</b> host/tensor_elementwise.h:65</div></div>
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<div class="ttc" id="host_2tensor__foreach_8h_html"><div class="ttname"><a href="host_2tensor__foreach_8h.html">tensor_foreach.h</a></div></div>
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