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<a href="functional_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="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="complex_8h.html">cutlass/complex.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="half_8h.html">cutlass/half.h</a>"</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">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus.html"> 46</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1plus.html">plus</a> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus.html#a95661210dd2176c4b8ab86ffc3d5eb50"> 48</a></span>  T <a class="code" href="structcutlass_1_1plus.html#a95661210dd2176c4b8ab86ffc3d5eb50">operator()</a>(T lhs, T <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  lhs += rhs;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span> lhs;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus.html"> 55</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1minus.html">minus</a> {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus.html#aa0db9bb7741aa930c9a52e795d12f227"> 57</a></span>  T <a class="code" href="structcutlass_1_1minus.html#aa0db9bb7741aa930c9a52e795d12f227">operator()</a>(T lhs, T <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  lhs -= rhs;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> lhs;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> };</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies.html"> 64</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiplies.html">multiplies</a> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies.html#adff981528415c4c40b251a3401e642ad"> 66</a></span>  T <a class="code" href="structcutlass_1_1multiplies.html#adff981528415c4c40b251a3401e642ad">operator()</a>(T lhs, T <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  lhs *= rhs;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> lhs;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> };</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides.html"> 73</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1divides.html">divides</a> {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides.html#a45c044899c466720712fa3a55dab57f1"> 75</a></span>  T <a class="code" href="structcutlass_1_1divides.html#a45c044899c466720712fa3a55dab57f1">operator()</a>(T lhs, T <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  lhs /= rhs;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">return</span> lhs;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> };</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="structcutlass_1_1negate.html"> 83</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1negate.html">negate</a> {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="structcutlass_1_1negate.html#a63ff0d5bd31a54bcee8e1512182c8253"> 85</a></span>  T <a class="code" href="structcutlass_1_1negate.html#a63ff0d5bd31a54bcee8e1512182c8253">operator()</a>(T lhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> -lhs;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> };</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">template</span> <<span class="keyword">typename</span> A, <span class="keyword">typename</span> B = A, <span class="keyword">typename</span> C = A></div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add.html"> 92</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiply__add.html">multiply_add</a> {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add.html#a842a468a8d77bda4b789fb9248926655"> 94</a></span>  C <a class="code" href="structcutlass_1_1multiply__add.html#a842a468a8d77bda4b789fb9248926655">operator()</a>(A <span class="keyword">const</span> &a, B <span class="keyword">const</span> &b, C <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">return</span> C(a) * C(b) + c;</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> };</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> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="structcutlass_1_1xor__add.html"> 101</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1xor__add.html">xor_add</a> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="structcutlass_1_1xor__add.html#a2bda9d781aee02f9aa90c75071a73f98"> 103</a></span>  T <a class="code" href="structcutlass_1_1xor__add.html#a2bda9d781aee02f9aa90c75071a73f98">operator()</a>(T <span class="keyword">const</span> &a, T <span class="keyword">const</span> &b, T <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> ((a ^ b) + c);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> };</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment">//</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment">// Partial specialization for complex<T> to target four scalar fused multiply-adds.</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment">//</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"></span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html"> 116</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiply__add.html">multiply_add</a><<a class="code" href="classcutlass_1_1complex.html">complex</a><T>, <a class="code" href="classcutlass_1_1complex.html">complex</a><T>, <a class="code" href="classcutlass_1_1complex.html">complex</a><T>> {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html#af46b43d672441fccd96c1aa3b89886fa"> 118</a></span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <a class="code" href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html#af46b43d672441fccd96c1aa3b89886fa">operator()</a>(</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <span class="keyword">const</span> &a, </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <span class="keyword">const</span> &b, </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  T <a class="code" href="namespacecutlass.html#ac0ea92c9a2a594446a84f7f86a79e143">real</a> = c.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>();</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  T <a class="code" href="namespacecutlass.html#a236d41e43fc97943fb2412fcbb40aec1">imag</a> = c.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a>();</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>  real += a.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>() * b.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>();</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  real += -a.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a>() * b.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a>();</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  imag += a.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>() * b.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a>();</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  imag += a.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a> () * b.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>();</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1complex.html">complex<T></a>{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="namespacecutlass.html#ac0ea92c9a2a594446a84f7f86a79e143">real</a>,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  imag</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  };</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  }</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> };</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01T_00_01complex_3_01T_01_4_01_4.html"> 140</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiply__add.html">multiply_add</a><<a class="code" href="classcutlass_1_1complex.html">complex</a><T>, T, <a class="code" href="classcutlass_1_1complex.html">complex</a><T>> {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01T_00_01complex_3_01T_01_4_01_4.html#a28aeeb385a3a47fb72a3d6f421c35294"> 142</a></span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <a class="code" href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01T_00_01complex_3_01T_01_4_01_4.html#a28aeeb385a3a47fb72a3d6f421c35294">operator()</a>(</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <span class="keyword">const</span> &a, </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  T <span class="keyword">const</span> &b, </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  T <a class="code" href="namespacecutlass.html#ac0ea92c9a2a594446a84f7f86a79e143">real</a> = c.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>();</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  T <a class="code" href="namespacecutlass.html#a236d41e43fc97943fb2412fcbb40aec1">imag</a> = c.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a>();</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  real += a.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>() * b;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  imag += a.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a> () * b;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1complex.html">complex<T></a>{</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="namespacecutlass.html#ac0ea92c9a2a594446a84f7f86a79e143">real</a>,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  imag</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  };</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</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="l00161"></a><span class="lineno"> 161</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01T_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html"> 162</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiply__add.html">multiply_add</a><T, <a class="code" href="classcutlass_1_1complex.html">complex</a><T>, <a class="code" href="classcutlass_1_1complex.html">complex</a><T>> {</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01T_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html#a24b5049dfd834f3a84537b3fceba4e65"> 164</a></span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <a class="code" href="structcutlass_1_1multiply__add_3_01T_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html#a24b5049dfd834f3a84537b3fceba4e65">operator()</a>(</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  T <span class="keyword">const</span> &a, </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <span class="keyword">const</span> &b, </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="classcutlass_1_1complex.html">complex<T></a> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  T <a class="code" href="namespacecutlass.html#ac0ea92c9a2a594446a84f7f86a79e143">real</a> = c.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  T <a class="code" href="namespacecutlass.html#a236d41e43fc97943fb2412fcbb40aec1">imag</a> = c.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a>();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  real += a * b.<a class="code" href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">real</a>();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  imag += a * b.<a class="code" href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">imag</a>();</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>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1complex.html">complex<T></a>{</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="namespacecutlass.html#ac0ea92c9a2a594446a84f7f86a79e143">real</a>,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  imag</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  };</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> };</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="comment">//</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment">// Partial specializations for Array<T, N></span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="comment">//</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="comment"></span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html"> 189</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1plus.html">plus</a><Array<T, N>> {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a93dda0b911aabecf4a115ec7692ff5bd"> 191</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a93dda0b911aabecf4a115ec7692ff5bd">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  Array<T, N> result;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="structcutlass_1_1plus.html">plus<T></a> scalar_op;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  result[i] = scalar_op(lhs[i], rhs[i]);</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> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</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="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a78e99733c048338faac559ce6e33f643"> 205</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a78e99733c048338faac559ce6e33f643">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &scalar)<span class="keyword"> const </span>{</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  Array<T, N> result;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="structcutlass_1_1plus.html">plus<T></a> scalar_op;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  result[i] = scalar_op(lhs[i], scalar);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a94e077e7e186dad0c4ccb8d12bf47ffc"> 219</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a94e077e7e186dad0c4ccb8d12bf47ffc">operator()</a>( T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  Array<T, N> result;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="structcutlass_1_1plus.html">plus<T></a> scalar_op;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  result[i] = scalar_op(scalar, rhs[i]);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</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>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> };</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum.html"> 235</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1maximum.html">maximum</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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum.html#a5425d2fc8a8028241332554378e980d7"> 238</a></span>  T <a class="code" href="structcutlass_1_1maximum.html#a5425d2fc8a8028241332554378e980d7">operator()</a>(T <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">return</span> (lhs < rhs ? rhs : lhs);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> };</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00244"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum_3_01float_01_4.html"> 244</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1maximum.html">maximum</a><float> {</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum_3_01float_01_4.html#adf9daaeef5c378bb6036c62c3eed9b3e"> 246</a></span>  <span class="keywordtype">float</span> <a class="code" href="structcutlass_1_1maximum_3_01float_01_4.html#adf9daaeef5c378bb6036c62c3eed9b3e">operator()</a>(<span class="keywordtype">float</span> <span class="keyword">const</span> &lhs, <span class="keywordtype">float</span> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">return</span> fmaxf(lhs, rhs);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> };</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html"> 252</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1maximum.html">maximum</a><Array<T, N>> {</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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#af02b086d2775d769b9675de752a5351c"> 255</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#af02b086d2775d769b9675de752a5351c">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  Array<T, N> result;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="structcutlass_1_1maximum.html">maximum<T></a> scalar_op;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  result[i] = scalar_op(lhs[i], rhs[i]);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</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>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00269"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#a8ae39f34fbeac5fc367503206b7074b0"> 269</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#a8ae39f34fbeac5fc367503206b7074b0">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &scalar)<span class="keyword"> const </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>  Array<T, N> result;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="structcutlass_1_1maximum.html">maximum<T></a> scalar_op;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  result[i] = scalar_op(lhs[i], scalar);</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="keywordflow">return</span> result;</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> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#a1949655a2c6aa18369f868060651fbd4"> 283</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#a1949655a2c6aa18369f868060651fbd4">operator()</a>( T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  Array<T, N> result;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="structcutlass_1_1maximum.html">maximum<T></a> scalar_op;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  result[i] = scalar_op(scalar, rhs[i]);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</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>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> };</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum.html"> 298</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1minimum.html">minimum</a> {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00301"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum.html#a15eb1ef96e29e5230ee59e89beadfa6b"> 301</a></span>  T <a class="code" href="structcutlass_1_1minimum.html#a15eb1ef96e29e5230ee59e89beadfa6b">operator()</a>(T <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">return</span> (rhs < lhs ? rhs : lhs);</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> };</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum_3_01float_01_4.html"> 307</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1minimum.html">minimum</a><float> {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00309"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum_3_01float_01_4.html#a13bac6699851e89e63b7b852983d2212"> 309</a></span>  <span class="keywordtype">float</span> <a class="code" href="structcutlass_1_1minimum_3_01float_01_4.html#a13bac6699851e89e63b7b852983d2212">operator()</a>(<span class="keywordtype">float</span> <span class="keyword">const</span> &lhs, <span class="keywordtype">float</span> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> fminf(lhs, rhs);</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> };</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00315"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html"> 315</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1minimum.html">minimum</a><Array<T, N>> {</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00318"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a4b42227184cb7c796460062c46a84b57"> 318</a></span>  <span class="keyword">static</span> T <a class="code" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a4b42227184cb7c796460062c46a84b57">scalar_op</a>(T <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &rhs) {</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">return</span> (rhs < lhs ? rhs : lhs);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  }</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="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00323"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#ac2b180299c6c3aa0eead2192c68b71e2"> 323</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#ac2b180299c6c3aa0eead2192c68b71e2">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  Array<T, N> result;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="structcutlass_1_1minimum.html">minimum<T></a> scalar_op;</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="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  result[i] = scalar_op(lhs[i], rhs[i]);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</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="keywordflow">return</span> result;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00337"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a4a45f7d2dad800165887d6bec93b16f1"> 337</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a4a45f7d2dad800165887d6bec93b16f1">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &scalar)<span class="keyword"> const </span>{</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>  Array<T, N> result;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="structcutlass_1_1minimum.html">minimum<T></a> scalar_op;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  result[i] = scalar_op(lhs[i], scalar);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00351"></a><span class="lineno"><a class="line" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a5dbfcd8f0f61adacea1643f95c57d9e7"> 351</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a5dbfcd8f0f61adacea1643f95c57d9e7">operator()</a>( T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  Array<T, N> result;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="structcutlass_1_1minimum.html">minimum<T></a> scalar_op;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  result[i] = scalar_op(scalar, rhs[i]);</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> };</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00366"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html"> 366</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1minus.html">minus</a><Array<T, N>> {</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00369"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#ac11e165f6f34a5bc47cdecf6b85db1ab"> 369</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#ac11e165f6f34a5bc47cdecf6b85db1ab">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  Array<T, N> result;</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <a class="code" href="structcutlass_1_1minus.html">minus<T></a> scalar_op;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  result[i] = scalar_op(lhs[i], rhs[i]);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  }</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  }</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> </div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00383"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#af7f0dbf65e39a1780a48472d168fa5c0"> 383</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#af7f0dbf65e39a1780a48472d168fa5c0">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &scalar)<span class="keyword"> const </span>{</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  </div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  Array<T, N> result;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="structcutlass_1_1minus.html">minus<T></a> scalar_op;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  result[i] = scalar_op(lhs[i], scalar);</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00397"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#a10e1dad45a537e3b92ebd5ce6561069a"> 397</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#a10e1dad45a537e3b92ebd5ce6561069a">operator()</a>( T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  Array<T, N> result;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="structcutlass_1_1minus.html">minus<T></a> scalar_op;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  result[i] = scalar_op(scalar, rhs[i]);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  }</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>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> };</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00412"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html"> 412</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiplies.html">multiplies</a><Array<T, N>> {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00415"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#a85beeba0468104af0df3c04bebe690d3"> 415</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#a85beeba0468104af0df3c04bebe690d3">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  </div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  Array<T, N> result;</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="structcutlass_1_1multiplies.html">multiplies<T></a> scalar_op;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  result[i] = scalar_op(lhs[i], rhs[i]);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00429"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#ae13cbdb4ed12e380cf4a858710a7d63f"> 429</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#ae13cbdb4ed12e380cf4a858710a7d63f">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &scalar)<span class="keyword"> const </span>{</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  </div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  Array<T, N> result;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="structcutlass_1_1multiplies.html">multiplies<T></a> scalar_op;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  result[i] = scalar_op(lhs[i], scalar);</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> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  }</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00443"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#ad911e958e6fa2a43ecb8c0b004f2d7ab"> 443</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#ad911e958e6fa2a43ecb8c0b004f2d7ab">operator()</a>( T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  Array<T, N> result;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="structcutlass_1_1multiplies.html">multiplies<T></a> scalar_op;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> </div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  result[i] = scalar_op(scalar, rhs[i]);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  }</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> };</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> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00458"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html"> 458</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1divides.html">divides</a><Array<T, N>> {</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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#abe16d29dc2547723268d6a0a204550f4"> 461</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#abe16d29dc2547723268d6a0a204550f4">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  Array<T, N> result;</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="structcutlass_1_1divides.html">divides<T></a> scalar_op;</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  result[i] = scalar_op(lhs[i], rhs[i]);</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  }</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> </div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  }</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> </div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#ac21715e6d4b6cfbdbdfb8cb640694933"> 475</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#ac21715e6d4b6cfbdbdfb8cb640694933">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs, T <span class="keyword">const</span> &scalar)<span class="keyword"> const </span>{</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  Array<T, N> result;</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="structcutlass_1_1divides.html">divides<T></a> scalar_op;</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  result[i] = scalar_op(lhs[i], scalar);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00489"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#af0c3eaffe841ec2a2a8e93f10dafed1a"> 489</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#af0c3eaffe841ec2a2a8e93f10dafed1a">operator()</a>( T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  </div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  Array<T, N> result;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="structcutlass_1_1divides.html">divides<T></a> scalar_op;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  result[i] = scalar_op(scalar, rhs[i]);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> };</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> </div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00505"></a><span class="lineno"><a class="line" href="structcutlass_1_1negate_3_01Array_3_01T_00_01N_01_4_01_4.html"> 505</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1negate.html">negate</a><Array<T, N>> {</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00508"></a><span class="lineno"><a class="line" href="structcutlass_1_1negate_3_01Array_3_01T_00_01N_01_4_01_4.html#a96bbedf72574b7657c21661ad866639e"> 508</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1negate_3_01Array_3_01T_00_01N_01_4_01_4.html#a96bbedf72574b7657c21661ad866639e">operator()</a>(Array<T, N> <span class="keyword">const</span> &lhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  </div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  Array<T, N> result;</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <a class="code" href="structcutlass_1_1negate.html">negate<T></a> scalar_op;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  result[i] = scalar_op(lhs[i]);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  }</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  }</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</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> T, <span class="keywordtype">int</span> N></div><div class="line"><a name="l00524"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html"> 524</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiply__add.html">multiply_add</a><Array<T, N>, Array<T, N>, Array<T, N>> {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00527"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a070cba31672b435b1edf16e6ded8c955"> 527</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a070cba31672b435b1edf16e6ded8c955">operator()</a>(Array<T, N> <span class="keyword">const</span> &a, Array<T, N> <span class="keyword">const</span> &b, Array<T, N> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  Array<T, N> result;</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<T></a> scalar_op;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  result[i] = scalar_op(a[i], b[i], c[i]);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  }</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00541"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a2c69bb9e0339d9e500dfd0a5307e1dd6"> 541</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a2c69bb9e0339d9e500dfd0a5307e1dd6">operator()</a>(Array<T, N> <span class="keyword">const</span> &a, T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  Array<T, N> result;</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<T></a> scalar_op;</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  result[i] = scalar_op(a[i], scalar, c[i]);</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  }</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00555"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a71a7c4fbfd3db644fb3cb2d995820856"> 555</a></span>  Array<T, N> <a class="code" href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a71a7c4fbfd3db644fb3cb2d995820856">operator()</a>(T <span class="keyword">const</span> &scalar, Array<T, N> <span class="keyword">const</span> &b, Array<T, N> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  Array<T, N> result;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<T></a> scalar_op;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  result[i] = scalar_op(scalar, b[i], c[i]);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  }</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> };</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> <span class="comment">//</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> <span class="comment">// Partial specializations for Array<half_t, N> targeting SIMD instructions in device code.</span></div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> <span class="comment">//</span></div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> <span class="comment"></span></div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <span class="keyword">template</span> <<span class="keywordtype">int</span> N></div><div class="line"><a name="l00576"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html"> 576</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1plus.html">plus</a><Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>> {</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00578"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a7eb77069757fffa01b7fba384c1e4bd2"> 578</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a7eb77069757fffa01b7fba384c1e4bd2">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  Array<half_t, N> result;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span> </div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  result_ptr[i] = __hadd2(lhs_ptr[i], rhs_ptr[i]);</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> </div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  __half d_residual = __hadd(a_residual_ptr[N - 1], b_residual_ptr[N - 1]);</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  }</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  result[i] = lhs[i] + rhs[i];</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a2f1a13f5e00fc7756597dc8861fb9fc4"> 611</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a2f1a13f5e00fc7756597dc8861fb9fc4">operator()</a>(<a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  Array<half_t, N> result;</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> </div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  __half2 lhs_pair = __half2half2(reinterpret_cast<__half const &>(lhs));</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  result_ptr[i] = __hadd2(lhs_pair, rhs_ptr[i]);</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  }</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> </div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  __half d_residual = __hadd(reinterpret_cast<__half const &>(lhs), b_residual_ptr[N - 1]);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  }</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span> </div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  result[i] = lhs + rhs[i];</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  }</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  }</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span> </div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00643"></a><span class="lineno"><a class="line" href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a0af810657ec58a868d05157e2c819f1f"> 643</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a0af810657ec58a868d05157e2c819f1f">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, <a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  Array<half_t, N> result;</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> </div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  __half2 rhs_pair = __half2half2(reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> </div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  result_ptr[i] = __hadd2(lhs_ptr[i], rhs_pair);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  }</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> </div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  __half d_residual = __hadd(a_residual_ptr[N - 1], reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span> </div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  }</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span> </div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  result[i] = lhs[i] + rhs;</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  }</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  }</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> };</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> </div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> <span class="keyword">template</span> <<span class="keywordtype">int</span> N></div><div class="line"><a name="l00676"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html"> 676</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1minus.html">minus</a><Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>> {</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00678"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a76637faf0a196f09e6e70318ac574a4b"> 678</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a76637faf0a196f09e6e70318ac574a4b">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  Array<half_t, N> result;</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> </div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> </div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  result_ptr[i] = __hsub2(lhs_ptr[i], rhs_ptr[i]);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  }</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span> </div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  __half d_residual = __hsub(a_residual_ptr[N - 1], b_residual_ptr[N - 1]);</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> </div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  }</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> </div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  result[i] = lhs[i] - rhs[i];</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  }</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> </div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  }</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00711"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a177841dc0eb55619ce5c252905c366fd"> 711</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a177841dc0eb55619ce5c252905c366fd">operator()</a>(<a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  Array<half_t, N> result;</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> </div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  __half2 lhs_pair = __half2half2(reinterpret_cast<__half const &>(lhs));</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  result_ptr[i] = __hsub2(lhs_pair, rhs_ptr[i]);</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  }</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  __half d_residual = __hsub(reinterpret_cast<__half const &>(lhs), b_residual_ptr[N - 1]);</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> </div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  }</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> </div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> </div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  result[i] = lhs - rhs[i];</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  }</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> </div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  }</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> </div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00743"></a><span class="lineno"><a class="line" href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a77e216f4b4c22699604ab06d9175bfd1"> 743</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a77e216f4b4c22699604ab06d9175bfd1">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, <a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  Array<half_t, N> result;</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span> </div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  __half2 rhs_pair = __half2half2(reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  result_ptr[i] = __hsub2(lhs_ptr[i], rhs_pair);</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  }</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  __half d_residual = __hsub(a_residual_ptr[N - 1], reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span> </div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  }</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> </div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span> </div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  result[i] = lhs[i] - rhs;</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  }</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> </div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  }</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> };</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> </div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> <span class="keyword">template</span> <<span class="keywordtype">int</span> N></div><div class="line"><a name="l00776"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html"> 776</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiplies.html">multiplies</a><Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>> {</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00778"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a7de36b2383e45e0a4e7349e55321a887"> 778</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a7de36b2383e45e0a4e7349e55321a887">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  Array<half_t, N> result;</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> </div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> </div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  result_ptr[i] = __hmul2(lhs_ptr[i], rhs_ptr[i]);</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  }</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> </div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  __half d_residual = __hmul(a_residual_ptr[N - 1], b_residual_ptr[N - 1]);</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span> </div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  }</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span> </div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span> </div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  result[i] = lhs[i] * rhs[i];</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  }</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> </div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  }</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span> </div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00811"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#ac4daebdadda5e8c5d6ca451967510856"> 811</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#ac4daebdadda5e8c5d6ca451967510856">operator()</a>(<a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  Array<half_t, N> result;</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span> </div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  __half2 lhs_pair = __half2half2(reinterpret_cast<__half const &>(lhs));</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span> </div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  result_ptr[i] = __hmul2(lhs_pair, rhs_ptr[i]);</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  }</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span> </div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> </div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  __half d_residual = __hmul(</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  reinterpret_cast<__half const &>(lhs), </div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  b_residual_ptr[N - 1]);</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span> </div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  }</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> </div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span> </div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  result[i] = lhs * rhs[i];</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  }</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  }</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span> </div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00846"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a1cb3ab75146da628432a46deef9babb5"> 846</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a1cb3ab75146da628432a46deef9babb5">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, <a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  Array<half_t, N> result;</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> </div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  __half2 rhs_pair = __half2half2(reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> </div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  result_ptr[i] = __hmul2(lhs_ptr[i], rhs_pair);</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  }</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span> </div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span> </div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  __half d_residual = __hmul(</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  a_residual_ptr[N - 1], </div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span> </div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  }</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span> </div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span> </div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  result[i] = lhs[i] * rhs;</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  }</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span> </div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  }</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> };</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span> </div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span> <span class="keyword">template</span> <<span class="keywordtype">int</span> N></div><div class="line"><a name="l00882"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html"> 882</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1divides.html">divides</a><Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>> {</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00884"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a79459449652aa53d523b043e7098604c"> 884</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a79459449652aa53d523b043e7098604c">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  Array<half_t, N> result;</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span> </div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  result_ptr[i] = __h2div(lhs_ptr[i], rhs_ptr[i]);</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  }</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span> </div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  __half d_residual = __hdiv(</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  a_residual_ptr[N - 1], </div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  b_residual_ptr[N - 1]);</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span> </div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  }</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span> </div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span> </div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  result[i] = lhs[i] / rhs[i];</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  }</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> </div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  }</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00920"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#ad9a7972b8fb04ffb81fda91154dc4d7a"> 920</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#ad9a7972b8fb04ffb81fda91154dc4d7a">operator()</a>(<a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> & lhs, Array<half_t, N> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  Array<half_t, N> result;</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span> </div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  __half2 lhs_pair = __half2half2(reinterpret_cast<__half const &>(lhs));</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  __half2 <span class="keyword">const</span> *rhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span> </div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  result_ptr[i] = __h2div(lhs_pair, rhs_ptr[i]);</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  }</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span> </div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&rhs);</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span> </div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  __half d_residual = __hdiv(</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  reinterpret_cast<__half const &>(lhs), </div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  b_residual_ptr[N - 1]);</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span> </div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  }</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> </div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  result[i] = lhs / rhs[i];</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  }</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> </div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  }</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span> </div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00955"></a><span class="lineno"><a class="line" href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a791580d56c3d73c18d3516d6bca52219"> 955</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a791580d56c3d73c18d3516d6bca52219">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs, <a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> &rhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  Array<half_t, N> result;</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> </div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  __half2 <span class="keyword">const</span> *lhs_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  __half2 rhs_pair = __half2half2(reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span> </div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  result_ptr[i] = __h2div(lhs_ptr[i], rhs_pair);</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  }</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span> </div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span> </div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  __half d_residual = __hdiv(</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  a_residual_ptr[N - 1], </div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  reinterpret_cast<__half const &>(rhs));</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> </div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  }</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span> </div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span> </div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  result[i] = lhs[i] / rhs;</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  }</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span> </div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  }</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span> };</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span> </div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span> <span class="keyword">template</span> <<span class="keywordtype">int</span> N></div><div class="line"><a name="l00991"></a><span class="lineno"><a class="line" href="structcutlass_1_1negate_3_01Array_3_01half__t_00_01N_01_4_01_4.html"> 991</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1negate.html">negate</a><Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>> {</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00993"></a><span class="lineno"><a class="line" href="structcutlass_1_1negate_3_01Array_3_01half__t_00_01N_01_4_01_4.html#aecf43e7a3abad362be771be2b98c7f71"> 993</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1negate_3_01Array_3_01half__t_00_01N_01_4_01_4.html#aecf43e7a3abad362be771be2b98c7f71">operator()</a>(Array<half_t, N> <span class="keyword">const</span> & lhs)<span class="keyword"> const </span>{</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  Array<half_t, N> result;</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span> </div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  __half2 <span class="keyword">const</span> *source_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&lhs);</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span> </div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  result_ptr[i] = __hneg2(source_ptr[i]);</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  }</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span> </div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a> x = lhs[N - 1];</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  __half lhs_val = -<span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>&<span class="keyword">></span>(x);</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(lhs_val);</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  }</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span> </div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> </div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  result[i] = -lhs[i];</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  }</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> </div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  }</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span> };</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span> </div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> <span class="keyword">template</span> <<span class="keywordtype">int</span> N></div><div class="line"><a name="l01025"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html"> 1025</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1multiply__add.html">multiply_add</a><Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>, Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>, Array<<a class="code" href="structcutlass_1_1half__t.html">half_t</a>, N>> {</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span> </div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01028"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#abc9dd51cad4f2997dae521fad8f5b486"> 1028</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#abc9dd51cad4f2997dae521fad8f5b486">operator()</a>(</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  Array<half_t, N> <span class="keyword">const</span> &a, </div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  Array<half_t, N> <span class="keyword">const</span> &b, </div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  Array<half_t, N> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  </div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  Array<half_t, N> result;</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span> </div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  __half2 <span class="keyword">const</span> *a_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&a);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  __half2 <span class="keyword">const</span> *b_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&b);</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  __half2 <span class="keyword">const</span> *c_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&c);</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> </div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  result_ptr[i] = __hfma2(a_ptr[i], b_ptr[i], c_ptr[i]);</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  }</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span> </div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span> </div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&a);</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&b);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  __half <span class="keyword">const</span> *c_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&c);</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> </div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  __half d_residual = __hfma(</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  a_residual_ptr[N - 1], </div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  b_residual_ptr[N - 1], </div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  c_residual_ptr[N - 1]);</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span> </div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  }</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> </div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> </div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<half_t></a> op;</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> </div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  result[i] = op(a[i], b[i], c[i]);</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  }</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span> </div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  }</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> </div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01074"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#a7659a559754edb4949d54cc641a5bd01"> 1074</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#a7659a559754edb4949d54cc641a5bd01">operator()</a>(</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> &a, </div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  Array<half_t, N> <span class="keyword">const</span> &b, </div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  Array<half_t, N> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  </div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  Array<half_t, N> result;</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span> </div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  __half2 a_pair = __half2half2(reinterpret_cast<__half const &>(a));</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  __half2 <span class="keyword">const</span> *b_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&b);</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  __half2 <span class="keyword">const</span> *c_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&c);</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span> </div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  result_ptr[i] = __hfma2(a_pair, b_ptr[i], c_ptr[i]);</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  }</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span> </div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span> </div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&b);</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  __half <span class="keyword">const</span> *c_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&c);</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  __half d_residual = __hfma(</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  reinterpret_cast<__half const &>(a), </div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  b_residual_ptr[N - 1], </div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  c_residual_ptr[N - 1]);</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> </div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  }</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> </div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> </div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<half_t></a> op;</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> </div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  result[i] = op(a, b[i], c[i]);</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  }</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> </div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  }</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> </div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01118"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#aed1e0930836e1da4c53fcdfb683847a1"> 1118</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#aed1e0930836e1da4c53fcdfb683847a1">operator()</a>(</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  Array<half_t, N> <span class="keyword">const</span> &a, </div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> &b, </div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  Array<half_t, N> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  </div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  Array<half_t, N> result;</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> </div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  __half2 <span class="keyword">const</span> *a_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&a);</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  __half2 b_pair = __half2half2(reinterpret_cast<__half const &>(b));</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  __half2 <span class="keyword">const</span> *c_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&c);</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span> </div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  result_ptr[i] = __hfma2(a_ptr[i], b_pair, c_ptr[i]);</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  }</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span> </div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span> </div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&a);</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  __half <span class="keyword">const</span> *c_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&c);</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span> </div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  __half d_residual = __hfma(</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  a_residual_ptr[N - 1], </div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  reinterpret_cast<__half const &>(b), </div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  c_residual_ptr[N - 1]);</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span> </div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  }</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span> </div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span> </div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<half_t></a> op;</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span> </div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  result[i] = op(a[i], b, c[i]);</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  }</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span> </div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  }</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span> </div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01163"></a><span class="lineno"><a class="line" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#a6b4fe9d3366d389034a53f5ba71bdaee"> 1163</a></span>  Array<half_t, N> <a class="code" href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#a6b4fe9d3366d389034a53f5ba71bdaee">operator()</a>(</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  Array<half_t, N> <span class="keyword">const</span> &a, </div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  Array<half_t, N> <span class="keyword">const</span> &b, </div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const</span> &c)<span class="keyword"> const </span>{</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  </div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  Array<half_t, N> result;</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span> <span class="preprocessor"> #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)</span></div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span> </div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  __half2 *result_ptr = <span class="keyword">reinterpret_cast<</span>__half2 *<span class="keyword">></span>(&result);</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  __half2 <span class="keyword">const</span> *a_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&a);</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  __half2 <span class="keyword">const</span> *b_ptr = <span class="keyword">reinterpret_cast<</span>__half2 <span class="keyword">const </span>*<span class="keyword">></span>(&b);</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  __half2 c_pair = __half2half2(reinterpret_cast<__half const &>(c));</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span> </div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N / 2; ++i) {</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  result_ptr[i] = __hfma2(a_ptr[i], b_ptr[i], c_pair);</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  }</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span> </div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  <span class="keywordflow">if</span> (N % 2) {</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span> </div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  __half <span class="keyword">const</span> *a_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&a);</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  __half <span class="keyword">const</span> *b_residual_ptr = <span class="keyword">reinterpret_cast<</span>__half <span class="keyword">const </span>*<span class="keyword">></span>(&b);</div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span> </div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  __half d_residual = __hfma(</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  a_residual_ptr[N - 1], </div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  b_residual_ptr[N - 1], </div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  reinterpret_cast<__half const &>(c));</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span> </div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  result[N - 1] = <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1half__t.html">half_t</a> <span class="keyword">const </span>&<span class="keyword">></span>(d_residual);</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  }</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span> </div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span> </div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<half_t></a> op;</div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span> </div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < N; ++i) {</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  result[i] = op(a[i], b[i], c);</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  }</div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span> </div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  }</div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span> };</div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span> </div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span> </div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="structcutlass_1_1multiply__add_html"><div class="ttname"><a href="structcutlass_1_1multiply__add.html">cutlass::multiply_add</a></div><div class="ttdoc">Fused multiply-add. </div><div class="ttdef"><b>Definition:</b> functional.h:92</div></div>
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<div class="ttc" id="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4_html_a5dbfcd8f0f61adacea1643f95c57d9e7"><div class="ttname"><a href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a5dbfcd8f0f61adacea1643f95c57d9e7">cutlass::minimum< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(T const &scalar, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:351</div></div>
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<div class="ttc" id="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a7eb77069757fffa01b7fba384c1e4bd2"><div class="ttname"><a href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a7eb77069757fffa01b7fba384c1e4bd2">cutlass::plus< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:578</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_1xor__add_html_a2bda9d781aee02f9aa90c75071a73f98"><div class="ttname"><a href="structcutlass_1_1xor__add.html#a2bda9d781aee02f9aa90c75071a73f98">cutlass::xor_add::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T const &a, T const &b, T const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:103</div></div>
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<div class="ttc" id="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a791580d56c3d73c18d3516d6bca52219"><div class="ttname"><a href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a791580d56c3d73c18d3516d6bca52219">cutlass::divides< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, half_t const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:955</div></div>
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<div class="ttc" id="complex_8h_html"><div class="ttname"><a href="complex_8h.html">complex.h</a></div></div>
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<div class="ttc" id="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4_html_af7f0dbf65e39a1780a48472d168fa5c0"><div class="ttname"><a href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#af7f0dbf65e39a1780a48472d168fa5c0">cutlass::minus< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, T const &scalar) const </div><div class="ttdef"><b>Definition:</b> functional.h:383</div></div>
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<div class="ttc" id="namespacecutlass_html_a236d41e43fc97943fb2412fcbb40aec1"><div class="ttname"><a href="namespacecutlass.html#a236d41e43fc97943fb2412fcbb40aec1">cutlass::imag</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE float const & imag(cuFloatComplex const &z)</div><div class="ttdoc">Returns the imaginary part of the complex number. </div><div class="ttdef"><b>Definition:</b> complex.h:72</div></div>
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<div class="ttc" id="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a76637faf0a196f09e6e70318ac574a4b"><div class="ttname"><a href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a76637faf0a196f09e6e70318ac574a4b">cutlass::minus< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:678</div></div>
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<div class="ttc" id="structcutlass_1_1plus_html_a95661210dd2176c4b8ab86ffc3d5eb50"><div class="ttname"><a href="structcutlass_1_1plus.html#a95661210dd2176c4b8ab86ffc3d5eb50">cutlass::plus::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T lhs, T const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:48</div></div>
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<div class="ttc" id="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4_html_a8ae39f34fbeac5fc367503206b7074b0"><div class="ttname"><a href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#a8ae39f34fbeac5fc367503206b7074b0">cutlass::maximum< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, T const &scalar) const </div><div class="ttdef"><b>Definition:</b> functional.h:269</div></div>
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<div class="ttc" id="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4_html_ac2b180299c6c3aa0eead2192c68b71e2"><div class="ttname"><a href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#ac2b180299c6c3aa0eead2192c68b71e2">cutlass::minimum< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:323</div></div>
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<div class="ttc" id="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a2f1a13f5e00fc7756597dc8861fb9fc4"><div class="ttname"><a href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a2f1a13f5e00fc7756597dc8861fb9fc4">cutlass::plus< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(half_t const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:611</div></div>
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<div class="ttc" id="half_8h_html"><div class="ttname"><a href="half_8h.html">half.h</a></div><div class="ttdoc">Defines a class for using IEEE half-precision floating-point types in host or device code...</div></div>
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<div class="ttc" id="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4_html_ad9a7972b8fb04ffb81fda91154dc4d7a"><div class="ttname"><a href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#ad9a7972b8fb04ffb81fda91154dc4d7a">cutlass::divides< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(half_t const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:920</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a7de36b2383e45e0a4e7349e55321a887"><div class="ttname"><a href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a7de36b2383e45e0a4e7349e55321a887">cutlass::multiplies< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:778</div></div>
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<div class="ttc" id="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4_html_a93dda0b911aabecf4a115ec7692ff5bd"><div class="ttname"><a href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a93dda0b911aabecf4a115ec7692ff5bd">cutlass::plus< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:191</div></div>
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<div class="ttc" id="structcutlass_1_1minimum_html"><div class="ttname"><a href="structcutlass_1_1minimum.html">cutlass::minimum</a></div><div class="ttdef"><b>Definition:</b> functional.h:298</div></div>
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<div class="ttc" id="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4_html_af02b086d2775d769b9675de752a5351c"><div class="ttname"><a href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#af02b086d2775d769b9675de752a5351c">cutlass::maximum< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:255</div></div>
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<div class="ttc" id="structcutlass_1_1maximum_html"><div class="ttname"><a href="structcutlass_1_1maximum.html">cutlass::maximum</a></div><div class="ttdef"><b>Definition:</b> functional.h:235</div></div>
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<div class="ttc" id="structcutlass_1_1half__t_html"><div class="ttname"><a href="structcutlass_1_1half__t.html">cutlass::half_t</a></div><div class="ttdoc">IEEE half-precision floating-point type. </div><div class="ttdef"><b>Definition:</b> half.h:126</div></div>
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<div class="ttc" id="structcutlass_1_1negate_html_a63ff0d5bd31a54bcee8e1512182c8253"><div class="ttname"><a href="structcutlass_1_1negate.html#a63ff0d5bd31a54bcee8e1512182c8253">cutlass::negate::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T lhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:85</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4_html_ac4daebdadda5e8c5d6ca451967510856"><div class="ttname"><a href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#ac4daebdadda5e8c5d6ca451967510856">cutlass::multiplies< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(half_t const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:811</div></div>
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<div class="ttc" id="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4_html_a78e99733c048338faac559ce6e33f643"><div class="ttname"><a href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a78e99733c048338faac559ce6e33f643">cutlass::plus< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, T const &scalar) const </div><div class="ttdef"><b>Definition:</b> functional.h:205</div></div>
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<div class="ttc" id="namespacecutlass_html_ac0ea92c9a2a594446a84f7f86a79e143"><div class="ttname"><a href="namespacecutlass.html#ac0ea92c9a2a594446a84f7f86a79e143">cutlass::real</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE float const & real(cuFloatComplex const &z)</div><div class="ttdoc">Returns the real part of the complex number. </div><div class="ttdef"><b>Definition:</b> complex.h:56</div></div>
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<div class="ttc" id="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a77e216f4b4c22699604ab06d9175bfd1"><div class="ttname"><a href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a77e216f4b4c22699604ab06d9175bfd1">cutlass::minus< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, half_t const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:743</div></div>
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<div class="ttc" id="structcutlass_1_1minimum_3_01float_01_4_html_a13bac6699851e89e63b7b852983d2212"><div class="ttname"><a href="structcutlass_1_1minimum_3_01float_01_4.html#a13bac6699851e89e63b7b852983d2212">cutlass::minimum< float >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE float operator()(float const &lhs, float const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:309</div></div>
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<div class="ttc" id="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4_html_a4a45f7d2dad800165887d6bec93b16f1"><div class="ttname"><a href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a4a45f7d2dad800165887d6bec93b16f1">cutlass::minimum< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, T const &scalar) const </div><div class="ttdef"><b>Definition:</b> functional.h:337</div></div>
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<div class="ttc" id="classcutlass_1_1complex_html_aa2c8964e10eeaa99b2d1a18cdcbd0105"><div class="ttname"><a href="classcutlass_1_1complex.html#aa2c8964e10eeaa99b2d1a18cdcbd0105">cutlass::complex::imag</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T const & imag() const </div><div class="ttdoc">Accesses the imaginary part of the complex number. </div><div class="ttdef"><b>Definition:</b> complex.h:240</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_html_a842a468a8d77bda4b789fb9248926655"><div class="ttname"><a href="structcutlass_1_1multiply__add.html#a842a468a8d77bda4b789fb9248926655">cutlass::multiply_add::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE C operator()(A const &a, B const &b, C const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:94</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963_html_a6b4fe9d3366d389034a53f5ba71bdaee"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#a6b4fe9d3366d389034a53f5ba71bdaee">cutlass::multiply_add< Array< half_t, N >, Array< half_t, N >, Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &a, Array< half_t, N > const &b, half_t const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:1163</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_1minus_3_01Array_3_01T_00_01N_01_4_01_4_html_ac11e165f6f34a5bc47cdecf6b85db1ab"><div class="ttname"><a href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#ac11e165f6f34a5bc47cdecf6b85db1ab">cutlass::minus< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:369</div></div>
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<div class="ttc" id="structcutlass_1_1maximum_html_a5425d2fc8a8028241332554378e980d7"><div class="ttname"><a href="structcutlass_1_1maximum.html#a5425d2fc8a8028241332554378e980d7">cutlass::maximum::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T const &lhs, T const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:238</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4_html_a85beeba0468104af0df3c04bebe690d3"><div class="ttname"><a href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#a85beeba0468104af0df3c04bebe690d3">cutlass::multiplies< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:415</div></div>
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<div class="ttc" id="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4_html_a10e1dad45a537e3b92ebd5ce6561069a"><div class="ttname"><a href="structcutlass_1_1minus_3_01Array_3_01T_00_01N_01_4_01_4.html#a10e1dad45a537e3b92ebd5ce6561069a">cutlass::minus< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(T const &scalar, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:397</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_html_adff981528415c4c40b251a3401e642ad"><div class="ttname"><a href="structcutlass_1_1multiplies.html#adff981528415c4c40b251a3401e642ad">cutlass::multiplies::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T lhs, T const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:66</div></div>
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<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="structcutlass_1_1maximum_3_01float_01_4_html_adf9daaeef5c378bb6036c62c3eed9b3e"><div class="ttname"><a href="structcutlass_1_1maximum_3_01float_01_4.html#adf9daaeef5c378bb6036c62c3eed9b3e">cutlass::maximum< float >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE float operator()(float const &lhs, float const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:246</div></div>
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<div class="ttc" id="structcutlass_1_1negate_html"><div class="ttname"><a href="structcutlass_1_1negate.html">cutlass::negate</a></div><div class="ttdef"><b>Definition:</b> functional.h:83</div></div>
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<div class="ttc" id="structcutlass_1_1divides_html_a45c044899c466720712fa3a55dab57f1"><div class="ttname"><a href="structcutlass_1_1divides.html#a45c044899c466720712fa3a55dab57f1">cutlass::divides::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T lhs, T const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:75</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4_html_a2c69bb9e0339d9e500dfd0a5307e1dd6"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a2c69bb9e0339d9e500dfd0a5307e1dd6">cutlass::multiply_add< Array< T, N >, Array< T, N >, Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &a, T const &scalar, Array< T, N > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:541</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4_html_a070cba31672b435b1edf16e6ded8c955"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a070cba31672b435b1edf16e6ded8c955">cutlass::multiply_add< Array< T, N >, Array< T, N >, Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &a, Array< T, N > const &b, Array< T, N > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:527</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4_html_ad911e958e6fa2a43ecb8c0b004f2d7ab"><div class="ttname"><a href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#ad911e958e6fa2a43ecb8c0b004f2d7ab">cutlass::multiplies< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(T const &scalar, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:443</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="cutlass_8h_html_a28c2443a142676d3d71effdae1a986b1"><div class="ttname"><a href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="ttdeci">#define CUTLASS_HOST_DEVICE</div><div class="ttdef"><b>Definition:</b> cutlass.h:89</div></div>
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<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4_html_ae13cbdb4ed12e380cf4a858710a7d63f"><div class="ttname"><a href="structcutlass_1_1multiplies_3_01Array_3_01T_00_01N_01_4_01_4.html#ae13cbdb4ed12e380cf4a858710a7d63f">cutlass::multiplies< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, T const &scalar) const </div><div class="ttdef"><b>Definition:</b> functional.h:429</div></div>
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<div class="ttc" id="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4_html_af0c3eaffe841ec2a2a8e93f10dafed1a"><div class="ttname"><a href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#af0c3eaffe841ec2a2a8e93f10dafed1a">cutlass::divides< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(T const &scalar, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:489</div></div>
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<div class="ttc" id="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a79459449652aa53d523b043e7098604c"><div class="ttname"><a href="structcutlass_1_1divides_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a79459449652aa53d523b043e7098604c">cutlass::divides< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:884</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="classcutlass_1_1complex_html_afaeeace8c2987047400b83973e196aeb"><div class="ttname"><a href="classcutlass_1_1complex.html#afaeeace8c2987047400b83973e196aeb">cutlass::complex::real</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T const & real() const </div><div class="ttdoc">Accesses the real part of the complex number. </div><div class="ttdef"><b>Definition:</b> complex.h:232</div></div>
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<div class="ttc" id="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a0af810657ec58a868d05157e2c819f1f"><div class="ttname"><a href="structcutlass_1_1plus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a0af810657ec58a868d05157e2c819f1f">cutlass::plus< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, half_t const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:643</div></div>
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<div class="ttc" id="classcutlass_1_1complex_html"><div class="ttname"><a href="classcutlass_1_1complex.html">cutlass::complex</a></div><div class="ttdef"><b>Definition:</b> complex.h:92</div></div>
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<div class="ttc" id="structcutlass_1_1minimum_html_a15eb1ef96e29e5230ee59e89beadfa6b"><div class="ttname"><a href="structcutlass_1_1minimum.html#a15eb1ef96e29e5230ee59e89beadfa6b">cutlass::minimum::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T const &lhs, T const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:301</div></div>
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<div class="ttc" id="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4_html_a4b42227184cb7c796460062c46a84b57"><div class="ttname"><a href="structcutlass_1_1minimum_3_01Array_3_01T_00_01N_01_4_01_4.html#a4b42227184cb7c796460062c46a84b57">cutlass::minimum< Array< T, N > >::scalar_op</a></div><div class="ttdeci">static CUTLASS_HOST_DEVICE T scalar_op(T const &lhs, T const &rhs)</div><div class="ttdef"><b>Definition:</b> functional.h:318</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01T_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4_html_a24b5049dfd834f3a84537b3fceba4e65"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01T_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html#a24b5049dfd834f3a84537b3fceba4e65">cutlass::multiply_add< T, complex< T >, complex< T > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE complex< T > operator()(T const &a, complex< T > const &b, complex< T > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:164</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963_html_a7659a559754edb4949d54cc641a5bd01"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#a7659a559754edb4949d54cc641a5bd01">cutlass::multiply_add< Array< half_t, N >, Array< half_t, N >, Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(half_t const &a, Array< half_t, N > const &b, Array< half_t, N > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:1074</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01T_00_01complex_3_01T_01_4_01_4_html_a28aeeb385a3a47fb72a3d6f421c35294"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01T_00_01complex_3_01T_01_4_01_4.html#a28aeeb385a3a47fb72a3d6f421c35294">cutlass::multiply_add< complex< T >, T, complex< T > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE complex< T > operator()(complex< T > const &a, T const &b, complex< T > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:142</div></div>
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<div class="ttc" id="structcutlass_1_1negate_3_01Array_3_01T_00_01N_01_4_01_4_html_a96bbedf72574b7657c21661ad866639e"><div class="ttname"><a href="structcutlass_1_1negate_3_01Array_3_01T_00_01N_01_4_01_4.html#a96bbedf72574b7657c21661ad866639e">cutlass::negate< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:508</div></div>
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<div class="ttc" id="structcutlass_1_1xor__add_html"><div class="ttname"><a href="structcutlass_1_1xor__add.html">cutlass::xor_add</a></div><div class="ttdoc">Fused multiply-add. </div><div class="ttdef"><b>Definition:</b> functional.h:101</div></div>
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<div class="ttc" id="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4_html_a1949655a2c6aa18369f868060651fbd4"><div class="ttname"><a href="structcutlass_1_1maximum_3_01Array_3_01T_00_01N_01_4_01_4.html#a1949655a2c6aa18369f868060651fbd4">cutlass::maximum< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(T const &scalar, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:283</div></div>
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<div class="ttc" id="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4_html_ac21715e6d4b6cfbdbdfb8cb640694933"><div class="ttname"><a href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#ac21715e6d4b6cfbdbdfb8cb640694933">cutlass::divides< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, T const &scalar) const </div><div class="ttdef"><b>Definition:</b> functional.h:475</div></div>
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<div class="ttc" id="structcutlass_1_1minus_html_aa0db9bb7741aa930c9a52e795d12f227"><div class="ttname"><a href="structcutlass_1_1minus.html#aa0db9bb7741aa930c9a52e795d12f227">cutlass::minus::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE T operator()(T lhs, T const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:57</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963_html_aed1e0930836e1da4c53fcdfb683847a1"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#aed1e0930836e1da4c53fcdfb683847a1">cutlass::multiply_add< Array< half_t, N >, Array< half_t, N >, Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &a, half_t const &b, Array< half_t, N > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:1118</div></div>
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<div class="ttc" id="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4_html_a94e077e7e186dad0c4ccb8d12bf47ffc"><div class="ttname"><a href="structcutlass_1_1plus_3_01Array_3_01T_00_01N_01_4_01_4.html#a94e077e7e186dad0c4ccb8d12bf47ffc">cutlass::plus< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(T const &scalar, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:219</div></div>
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<div class="ttc" id="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a177841dc0eb55619ce5c252905c366fd"><div class="ttname"><a href="structcutlass_1_1minus_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a177841dc0eb55619ce5c252905c366fd">cutlass::minus< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(half_t const &lhs, Array< half_t, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:711</div></div>
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<div class="ttc" id="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4_html_a71a7c4fbfd3db644fb3cb2d995820856"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_00_01Array_3_01T_00_01N_01_4_01_4.html#a71a7c4fbfd3db644fb3cb2d995820856">cutlass::multiply_add< Array< T, N >, Array< T, N >, Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(T const &scalar, Array< T, N > const &b, Array< T, N > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:555</div></div>
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<div class="ttc" id="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4_html_abe16d29dc2547723268d6a0a204550f4"><div class="ttname"><a href="structcutlass_1_1divides_3_01Array_3_01T_00_01N_01_4_01_4.html#abe16d29dc2547723268d6a0a204550f4">cutlass::divides< Array< T, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > operator()(Array< T, N > const &lhs, Array< T, N > const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:461</div></div>
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<div class="ttc" id="structcutlass_1_1negate_3_01Array_3_01half__t_00_01N_01_4_01_4_html_aecf43e7a3abad362be771be2b98c7f71"><div class="ttname"><a href="structcutlass_1_1negate_3_01Array_3_01half__t_00_01N_01_4_01_4.html#aecf43e7a3abad362be771be2b98c7f71">cutlass::negate< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:993</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_1multiply__add_3_01complex_3_01T_01_4_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4_html_af46b43d672441fccd96c1aa3b89886fa"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01complex_3_01T_01_4_00_01complex_3_01T_01_4_00_01complex_3_01T_01_4_01_4.html#af46b43d672441fccd96c1aa3b89886fa">cutlass::multiply_add< complex< T >, complex< T >, complex< T > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE complex< T > operator()(complex< T > const &a, complex< T > const &b, complex< T > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:118</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4_html_a1cb3ab75146da628432a46deef9babb5"><div class="ttname"><a href="structcutlass_1_1multiplies_3_01Array_3_01half__t_00_01N_01_4_01_4.html#a1cb3ab75146da628432a46deef9babb5">cutlass::multiplies< Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &lhs, half_t const &rhs) const </div><div class="ttdef"><b>Definition:</b> functional.h:846</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="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963_html_abc9dd51cad4f2997dae521fad8f5b486"><div class="ttname"><a href="structcutlass_1_1multiply__add_3_01Array_3_01half__t_00_01N_01_4_00_01Array_3_01half__t_00_01N_01adaeadb27c0e4439444709c0eb30963.html#abc9dd51cad4f2997dae521fad8f5b486">cutlass::multiply_add< Array< half_t, N >, Array< half_t, N >, Array< half_t, N > >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< half_t, N > operator()(Array< half_t, N > const &a, Array< half_t, N > const &b, Array< half_t, N > const &c) const </div><div class="ttdef"><b>Definition:</b> functional.h:1028</div></div>
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