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<a href="linear__scaling_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> </div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> *</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</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="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</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="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</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="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</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="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</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="l00021"></a><span class="lineno"> 21</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="l00022"></a><span class="lineno"> 22</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="l00023"></a><span class="lineno"> 23</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> *</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="fragment__multiply__add_8h.html">cutlass/fragment_multiply_add.h</a>"</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="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</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="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm.html#a3e30ae89e6f7501725028144cd2d88cb"> 39</a></span> CUTLASS_DEVICE <span class="keywordtype">bool</span> <a class="code" href="namespacecutlass_1_1gemm.html#a3e30ae89e6f7501725028144cd2d88cb">is_zero</a>(T x) {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> x == T(0);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> }</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#if !defined(__CUDACC_RTC__) || defined(CUTLASS_NVRTC_HAS_FP16)</span></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm.html#a4a12fcfae60f26efa47bf0a79483d8ac"> 44</a></span> CUTLASS_DEVICE <span class="keywordtype">bool</span> <a class="code" href="namespacecutlass_1_1gemm.html#a3e30ae89e6f7501725028144cd2d88cb">is_zero</a>(half x) { <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span>int16_t&<span class="keyword">></span>(x) == int16_t(0); }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar_, <span class="keyword">typename</span> FragmentMultiplyAdd_ = FragmentMultiplyAdd<Scalar_, Scalar_> ></div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html"> 51</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html">LinearScaling</a> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// The scalar.</span></div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183"> 53</a></span>  <span class="keyword">typedef</span> Scalar_ <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a>;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// The accumulator Type</span></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae80882255b71c1ec94c6caeded2d0309"> 55</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> FragmentMultiplyAdd_::ScalarAccum <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae80882255b71c1ec94c6caeded2d0309">ScalarAccum</a>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// The adapater.</span></div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8"> 57</a></span>  <span class="keyword">typedef</span> FragmentMultiplyAdd_ <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">FragmentMultiplyAdd</a>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html"> 60</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html">Params</a> {</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b"> 62</a></span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a>, <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">//</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">//</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Constructor</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#ae515cd98a75ff3eafffcc69692d6301a"> 70</a></span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#ae515cd98a75ff3eafffcc69692d6301a">Params</a>(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a> _alpha = 0, <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a> _beta = 0) : <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a>(_alpha), <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a>(_beta) {}</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#ad4089906220d4656ba075fb9afd1012c"> 73</a></span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#ad4089906220d4656ba075fb9afd1012c">initialize</a>(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a> _alpha, <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a> _beta) {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a> = _alpha;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a> = _beta;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> GemmDesc_></div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a4946e45e10661307f562b27bad5cb72d"> 81</a></span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a4946e45e10661307f562b27bad5cb72d">initialize</a>(GemmDesc_ <span class="keyword">const</span>& desc) {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a> = desc.alpha;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a> = desc.beta;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  };</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>  <span class="comment">//</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">//</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d"> 92</a></span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html">Params</a> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d">params</a>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">//</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">//</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae5ed200fe8c45b6478d3893e67da0ebe"> 99</a></span>  CUTLASS_DEVICE <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae5ed200fe8c45b6478d3893e67da0ebe">LinearScaling</a>() { }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a46965529bd1384465c6f2b8c2a244889"> 102</a></span>  CUTLASS_DEVICE <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a46965529bd1384465c6f2b8c2a244889">LinearScaling</a>(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html">Params</a> <span class="keyword">const</span>& _params) : <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d">params</a>(_params) {}</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#aae313f3e691334f80d1316ac4cd30d54"> 108</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aae313f3e691334f80d1316ac4cd30d54">source_required</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> !<a class="code" href="namespacecutlass_1_1gemm.html#a3e30ae89e6f7501725028144cd2d88cb">is_zero</a>(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d">params</a>.<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a>);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> FragmentA_, <span class="keyword">typename</span> FragmentB_></div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a303c8dd75a31c01aa4e1de5097aca8eb"> 114</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a303c8dd75a31c01aa4e1de5097aca8eb">evaluate</a>(FragmentA_ <span class="keyword">const</span>& accum, FragmentB_& output) {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">FragmentMultiplyAdd</a> mad;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  mad.multiply(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d">params</a>.<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a>, accum, output);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> ScalarAccum, <span class="keyword">typename</span> ScalarOutput, <span class="keywordtype">int</span> size></div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a0159214b89d7648f1e8f3b5dd228df02"> 122</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a0159214b89d7648f1e8f3b5dd228df02">evaluate</a>(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae80882255b71c1ec94c6caeded2d0309">ScalarAccum</a> <span class="keyword">const</span> *accum, ScalarOutput *output) {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarAccum, size></a> FragAccum;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarOutput, size></a> FragOutput;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="preprocessor">#pragma unroll</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < size; i++) {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  FragAccum[i] = accum[i];</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  FragOutput[i] = output[i];</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a303c8dd75a31c01aa4e1de5097aca8eb">evaluate</a>(FragAccum, FragOutput);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor">#pragma unroll</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < size; i++) {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  output[i] = FragOutput[i];</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="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> FragmentA_, <span class="keyword">typename</span> FragmentB_></div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a429d78c47d55929903ee02733ad881c1"> 139</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a429d78c47d55929903ee02733ad881c1">evaluate</a>(FragmentA_ <span class="keyword">const</span>& accum, FragmentB_ <span class="keyword">const</span>& old, FragmentB_& output) {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">FragmentMultiplyAdd</a> mad;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  FragmentB_ tmp;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  mad.multiply(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d">params</a>.<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a>, old, tmp);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  mad.multiply_add(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d">params</a>.<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a>, accum, tmp, output);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> ScalarAccum, <span class="keyword">typename</span> ScalarOutput, <span class="keywordtype">int</span> size></div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#aad0708f7681b16e6d6b4ca8d1f59a947"> 148</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aad0708f7681b16e6d6b4ca8d1f59a947">evaluate</a>(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae80882255b71c1ec94c6caeded2d0309">ScalarAccum</a> <span class="keyword">const</span> *accum, ScalarOutput <span class="keyword">const</span> *old, ScalarOutput *output) {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarAccum, size></a> FragAccum;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarOutput, size></a> FragOutput;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarOutput, size></a> FragOld;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="preprocessor">#pragma unroll</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < size; i++) {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  FragAccum[i] = accum[i];</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  FragOutput[i] = output[i];</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  FragOld[i] = old[i];</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>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a303c8dd75a31c01aa4e1de5097aca8eb">evaluate</a>(FragAccum, FragOld, FragOutput);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="preprocessor">#pragma unroll</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < size; i++) {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  output[i] = FragOutput[i];</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> };</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_ad4089906220d4656ba075fb9afd1012c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#ad4089906220d4656ba075fb9afd1012c">cutlass::gemm::LinearScaling::Params::initialize</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE int initialize(Scalar _alpha, Scalar _beta)</div><div class="ttdoc">Initialize the parameters. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:73</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> convert.h:33</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_a3248d6b3d9bcc59365d582b879292a70"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">cutlass::gemm::LinearScaling::Params::alpha</a></div><div class="ttdeci">Scalar alpha</div><div class="ttdoc">The alpha/beta scaling params. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:62</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_aae313f3e691334f80d1316ac4cd30d54"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#aae313f3e691334f80d1316ac4cd30d54">cutlass::gemm::LinearScaling::source_required</a></div><div class="ttdeci">CUTLASS_DEVICE bool source_required() const</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:108</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a0159214b89d7648f1e8f3b5dd228df02"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a0159214b89d7648f1e8f3b5dd228df02">cutlass::gemm::LinearScaling::evaluate</a></div><div class="ttdeci">CUTLASS_DEVICE void evaluate(ScalarAccum const *accum, ScalarOutput *output)</div><div class="ttdoc">Evaluate the functor, without using fragment in the API. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:122</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a429d78c47d55929903ee02733ad881c1"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a429d78c47d55929903ee02733ad881c1">cutlass::gemm::LinearScaling::evaluate</a></div><div class="ttdeci">CUTLASS_DEVICE void evaluate(FragmentA_ const &accum, FragmentB_ const &old, FragmentB_ &output)</div><div class="ttdoc">Evaluate the functor. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:139</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a303c8dd75a31c01aa4e1de5097aca8eb"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a303c8dd75a31c01aa4e1de5097aca8eb">cutlass::gemm::LinearScaling::evaluate</a></div><div class="ttdeci">CUTLASS_DEVICE void evaluate(FragmentA_ const &accum, FragmentB_ &output)</div><div class="ttdoc">Evaluate the functor. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:114</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_a0e455ad2e4eba67259867f9123ca817b"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">cutlass::gemm::LinearScaling::Params::beta</a></div><div class="ttdeci">Scalar beta</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:62</div></div>
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<div class="ttc" id="structcutlass_1_1Fragment_html"><div class="ttname"><a href="structcutlass_1_1Fragment.html">cutlass::Fragment</a></div><div class="ttdoc">A template defining Fragment Concept. </div><div class="ttdef"><b>Definition:</b> fragment.h:99</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a7bbf90dc0938698a0fa22468f9df315d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a7bbf90dc0938698a0fa22468f9df315d">cutlass::gemm::LinearScaling::params</a></div><div class="ttdeci">Params params</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:92</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_ae80882255b71c1ec94c6caeded2d0309"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#ae80882255b71c1ec94c6caeded2d0309">cutlass::gemm::LinearScaling::ScalarAccum</a></div><div class="ttdeci">FragmentMultiplyAdd_::ScalarAccum ScalarAccum</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:55</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_a4946e45e10661307f562b27bad5cb72d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a4946e45e10661307f562b27bad5cb72d">cutlass::gemm::LinearScaling::Params::initialize</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE int initialize(GemmDesc_ const &desc)</div><div class="ttdoc">Initialize the parameters. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:81</div></div>
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<div class="ttc" id="fragment__multiply__add_8h_html"><div class="ttname"><a href="fragment__multiply__add_8h.html">fragment_multiply_add.h</a></div><div class="ttdoc">Defines multiply-add operations on fragments within a thread. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_aa697d4eaced1ef08247aeb1fcc0f0ea8"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">cutlass::gemm::LinearScaling::FragmentMultiplyAdd</a></div><div class="ttdeci">FragmentMultiplyAdd_ FragmentMultiplyAdd</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:57</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_ae5ed200fe8c45b6478d3893e67da0ebe"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#ae5ed200fe8c45b6478d3893e67da0ebe">cutlass::gemm::LinearScaling::LinearScaling</a></div><div class="ttdeci">CUTLASS_DEVICE LinearScaling()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:99</div></div>
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<div class="ttc" id="namespacecutlass_1_1gemm_html_a3e30ae89e6f7501725028144cd2d88cb"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a3e30ae89e6f7501725028144cd2d88cb">cutlass::gemm::is_zero</a></div><div class="ttdeci">CUTLASS_DEVICE bool is_zero(T x)</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:39</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:46</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a46965529bd1384465c6f2b8c2a244889"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a46965529bd1384465c6f2b8c2a244889">cutlass::gemm::LinearScaling::LinearScaling</a></div><div class="ttdeci">CUTLASS_DEVICE LinearScaling(Params const &_params)</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:102</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html">cutlass::gemm::LinearScaling::Params</a></div><div class="ttdoc">The parameters. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:60</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html">cutlass::gemm::LinearScaling</a></div><div class="ttdoc">Functor to compute linear combination of fragments. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:51</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_ae6b053ca059932f7c0d3c99243854183"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">cutlass::gemm::LinearScaling::Scalar</a></div><div class="ttdeci">Scalar_ Scalar</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:53</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_aad0708f7681b16e6d6b4ca8d1f59a947"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#aad0708f7681b16e6d6b4ca8d1f59a947">cutlass::gemm::LinearScaling::evaluate</a></div><div class="ttdeci">CUTLASS_DEVICE void evaluate(ScalarAccum const *accum, ScalarOutput const *old, ScalarOutput *output)</div><div class="ttdoc">Evaluate the functor, without using fragment in the API. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:148</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_ae515cd98a75ff3eafffcc69692d6301a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#ae515cd98a75ff3eafffcc69692d6301a">cutlass::gemm::LinearScaling::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(Scalar _alpha=0, Scalar _beta=0)</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:70</div></div>
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